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Vicious Mortgage Rates V1.0A script that contains real time mortgage rates from Wells Fargo using the QUANDL data link. Use this lower indicator with US10Y or others on the top. VIX will be added as well to help inform and predict. List of Available Mortgage Interest Rates including APR or IR (Interest Rate) *NOTE* : Not all indicators are up and running yet but will be very soon. INDICATOR|CODE Purchase Rate Conforming Loan 30-Year Fixed Rate Interest Rate|PR_CON_30YFIXED_IR Purchase Rate Conforming Loan 30-Year Fixed Rate APR|PR_CON_30YFIXED_APR Purchase Rate Government Loan 30-Year Fixed-Rate FHA Interest Rate|PR_GOV_30YFIXEDFHA_IR Purchase Rate Government Loan 30-Year Fixed-Rate FHA APR|PR_GOV_30YFIXEDFHA_APR Purchase Rate Conforming Loan 15-Year Fixed Rate Interest Rate|PR_CON_15YFIXED_IR Purchase Rate Conforming Loan 15-Year Fixed Rate APR|PR_CON_15YFIXED_APR *Purchase Rate Conforming Loan 7/1 ARM Interest Rate|PR_CON_71ARM_IR *Purchase Rate Conforming Loan 7/1 ARM APR|PR_CON_71ARM_APR *Purchase Rate Conforming Loan 5/1 ARM FHA Interest Rate|PR_CON_51ARM_IR *Purchase Rate Conforming Loan 5/1 ARM FHA APR|PR_CON_51ARM_APR Purchase Rate Government Loan 5/1 ARM FHA Interest Rate|PR_GOV_51ARMFHA_IR Purchase Rate Government Loan 5/1 ARM FHA APR|PR_GOV_51ARMFHA_APR Purchase Rate Larger Loan Amounts in Eligible Areas (Conforming Loan) 30-Year Fixed Rate Interest Rate|PR_LARGERCON_30YFIXED_IR Purchase Rate Larger Loan Amounts in Eligible Areas (Conforming Loan) 30-Year Fixed Rate APR|PR_LARGERCON_30YFIXED_APR Purchase Rate Larger Loan Amounts in Eligible Areas (Government Loan) 30-Year Fixed-Rate FHA Interest Rate|PR_LARGERGOV_30YFIXEDFHA_IR Purchase Rate Larger Loan Amounts in Eligible Areas (Government Loan) 30-Year Fixed-Rate FHA APR|PR_LARGERGOV_30YFIXEDFHA_APR Purchase Rate Larger Loan Amounts in Eligible Areas (Conforming Loan) 7/1 ARM Interest Rate|PR_LARGERCON_71ARM_IR Purchase Rate Larger Loan Amounts in Eligible Areas (Conforming Loan) 7/1 ARM APR|PR_LARGERCON_71ARM_APR Purchase Rate Jumbo Loan (Amounts that exceed conforming loan limits) 30-Year Fixed Rate Interest Rate|PR_JUMBO_30YFIXED_IR Purchase Rate Jumbo Loan (Amounts that exceed conforming loan limits) 30-Year Fixed Rate APR|PR_JUMBO_30YFIXED_APR Purchase Rate Jumbo Loan (Amounts that exceed conforming loan limits) 7/1 ARM Interest Rate|PR_JUMBO_71ARM_IR Purchase Rate Jumbo Loan (Amounts that exceed conforming loan limits) 7/1 ARM APR|PR_JUMBO_71ARM_APR Refinance Rate Conforming Loan 30-Year Fixed Rate Interest Rate|RR_CON_30YFIXED_IR Refinance Rate Conforming Loan 30-Year Fixed Rate APR|RR_CON_30YFIXED_APR Refinance Rate Government Loan 30-Year Fixed-Rate FHA Interest Rate|RR_GOV_30YFIXEDFHA_IR Refinance Rate Government Loan 30-Year Fixed-Rate FHA APR|RR_GOV_30YFIXEDFHA_APR Refinance Rate Conforming Loan 15-Year Fixed Rate Interest Rate|RR_CON_15YFIXED_IR Refinance Rate Conforming Loan 15-Year Fixed Rate APR|RR_CON_15YFIXED_APR *Refinance Rate Conforming Loan 7/1 ARM Interest Rate|RR_CON_71ARM_IR *Refinance Rate Conforming Loan 7/1 ARM APR|RR_CON_71ARM_APR *Refinance Rate Conforming Loan 5/1 ARM Interest Rate|PR_CON_51ARM_IR *Refinance Rate Conforming Loan 5/1 ARM APR|PR_CON_51ARM_APR Refinance Rate Government Loan 5/1 ARM FHA Interest Rate|RR_GOV_51ARMFHA_IR Refinance Rate Government Loan 5/1 ARM FHA APR|RR_GOV_51ARMFHA_APR Refinance Rate Larger Loan Amounts in Eligible Areas (Conforming Loan) 30-Year Fixed Rate Interest Rate|RR_LARGERCON_30YFIXED_IR Refinance Rate Larger Loan Amounts in Eligible Areas (Conforming Loan) 30-Year Fixed Rate APR|RR_LARGERCON_30YFIXED_APR Refinance Rate Larger Loan Amounts in Eligible Areas (Government Loan) 30-Year Fixed-Rate FHA Interest Rate|RR_LARGERGOV_30YFIXEDFHA_IR Refinance Rate Larger Loan Amounts in Eligible Areas (Government Loan) 30-Year Fixed-Rate FHA APR|RR_LARGERGOV_30YFIXEDFHA_APR Refinance Rate Larger Loan Amounts in Eligible Areas (Conforming Loan) 7/1 ARM Interest Rate|RR_LARGERCON_71ARM_IR Refinance Rate Larger Loan Amounts in Eligible Areas (Conforming Loan) 7/1 ARM APR|RR_LARGERCON_71ARM_APR Refinance Rate Jumbo Loan (Amounts that exceed conforming loan limits) 30-Year Fixed Rate Interest Rate|RR_JUMBO_30YFIXED_IR Refinance Rate Jumbo Loan (Amounts that exceed conforming loan limits) 30-Year Fixed Rate APR|RR_JUMBO_30YFIXED_APR Refinance Rate Jumbo Loan (Amounts that exceed conforming loan limits) 7/1 ARM Interest Rate|RR_JUMBO_71ARM_IR Refinance Rate Jumbo Loan (Amounts that exceed conforming loan limits) 7/1 ARM APR|RR_JUMBO_71ARM_APR QUANDL:FRED/MORTG Feature to be Added: Trending Oscillators Alerts www.quandl.com
Penunjuk Pine Script®
oleh TheViciousVB
3
RSI MTF by PeterOThis is my take on reaching Higher TimeFrame charts, what is usually helpful when determining the trend. On the example of RSI. So imagine you want to check RSI from higher timeframe. 15x higher for example. There are 3 ways to do it. 1. security(tickerid,"15",rsi(close,14)) DON'T!!! I strongly advise against this method. Security() function is buggy in PineScript, leads to so-called "repainting" issues. Repainting is caused by creating leak from future data and leads to abnormally fantastic strategy backtest results like the one in Open Close Cross Strategy. Theoretically speaking if security() used correctly - with Pine version3 and barmerge.lookahead_off - you should encounter no repainting, but I could swear I saw scripts repaint even with security() implemented properly. Even assuming security() implemented correctly will not repaint - it will create delay in your script. I'm using "15" multiplier in my example, and this means, I have to wait for 15 candles to close to produce indicators value. If a strong move happens in the meantime, I'm blind, because I have to wait anyway. So for your own security, stay away from security() at all times. 2. rsi(close,14*15) This will produce RSI plot with no delay, but a very flattened one. RSI will move between 45 and 45, never even reaching 30 or 70 levels. So pretty useless. 3. Dig-in-the-formula way. Doing a bit more math produces RSI line, which is not delayed, not repainting and moving in full 0-100 RSI range. Actually - looking almost identical to the one from the higher timeframe. Which was the goal of this script.
Penunjuk Pine Script®
oleh Peter_O
16
XPloRR MA-Trailing-Stop StrategyXPloRR MA-Trailing-Stop Strategy Long term MA-Trailing-Stop strategy with Adjustable Signal Strength to beat Buy&Hold strategy None of the strategies that I tested can beat the long term Buy&Hold strategy. That's the reason why I wrote this strategy. Purpose: beat Buy&Hold strategy with around 10 trades. 100% capitalize sold trade into new trade. My buy strategy is triggered by the fast buy EMA (blue) crossing over the slow buy SMA curve (orange) and the fast buy EMA has a certain up strength. My sell strategy is triggered by either one of these conditions: the EMA(6) of the close value is crossing under the trailing stop value (green) or the fast sell EMA (navy) is crossing under the slow sell SMA curve (red) and the fast sell EMA has a certain down strength. The trailing stop value (green) is set to a multiple of the ATR(15) value. ATR(15) is the SMA(15) value of the difference between the high and low values. The scripts shows a lot of graphical information: The close value is shown in light-green. When the close value is lower then the buy value, the close value is shown in light-red. This way it is possible to evaluate the virtual losses during the trade. the trailing stop value is shown in dark-green. When the sell value is lower then the buy value, the last color of the trade will be red (best viewed when zoomed)(in the example, there are 2 trades that end in gain and 2 in loss (red line at end)) the EMA and SMA values for both buy and sell signals are shown as a line the buy and sell(close) signals are labeled in blue How to use this strategy? Every stock has it's own "DNA", so first thing to do is tune the right parameters to get the best strategy values voor EMA , SMA, Strength for both buy and sell and the Trailing Stop (#ATR). Look in the strategy tester overview to optimize the values Percent Profitable and Net Profit (using the strategy settings icon, you can increase/decrease the parameters) Then keep using these parameters for future buy/sell signals only for that particular stock. Do the same for other stocks. Important : optimizing these parameters is no guarantee for future winning trades! Here are the parameters: Fast EMA Buy: buy trigger when Fast EMA Buy crosses over the Slow SMA Buy value (use values between 10-20) Slow SMA Buy: buy trigger when Fast EMA Buy crosses over the Slow SMA Buy value (use values between 30-100) Minimum Buy Strength: minimum upward trend value of the Fast SMA Buy value (directional coefficient)(use values between 0-120) Fast EMA Sell: sell trigger when Fast EMA Sell crosses under the Slow SMA Sell value (use values between 10-20) Slow SMA Sell: sell trigger when Fast EMA Sell crosses under the Slow SMA Sell value (use values between 30-100) Minimum Sell Strength: minimum downward trend value of the Fast SMA Sell value (directional coefficient)(use values between 0-120) Trailing Stop (#ATR): the trailing stop value as a multiple of the ATR(15) value (use values between 2-20) Example parameters for different stocks (Start capital: 1000, Order=100% of equity, Period 1/1/2005 to now) compared to the Buy&Hold Strategy(=do nothing): BEKB(Bekaert): EMA-Buy=12, SMA-Buy=44, Strength-Buy=65, EMA-Sell=12, SMA-Sell=55, Strength-Sell=120, Stop#ATR=20 NetProfit: 996%, #Trades: 6, %Profitable: 83%, Buy&HoldProfit: 78% BAR(Barco): EMA-Buy=16, SMA-Buy=80, Strength-Buy=44, EMA-Sell=12, SMA-Sell=45, Strength-Sell=82, Stop#ATR=9 NetProfit: 385%, #Trades: 7, %Profitable: 71%, Buy&HoldProfit: 55% AAPL(Apple): EMA-Buy=12, SMA-Buy=45, Strength-Buy=40, EMA-Sell=19, SMA-Sell=45, Strength-Sell=106, Stop#ATR=8 NetProfit: 6900%, #Trades: 7, %Profitable: 71%, Buy&HoldProfit: 2938% TNET(Telenet): EMA-Buy=12, SMA-Buy=45, Strength-Buy=27, EMA-Sell=19, SMA-Sell=45, Strength-Sell=70, Stop#ATR=14 NetProfit: 129%, #Trade
Strategi Pine Script®
oleh XPl0RR
8
XPloRR MA-Buy ATR-Trailing-Stop Long Term Strategy Beating B&HXPloRR MA-Buy ATR-MA-Trailing-Stop Strategy Long term MA Trailing Stop strategy to beat Buy&Hold strategy None of the strategies that I tested can beat the long term Buy&Hold strategy. That's the reason why I wrote this strategy. Purpose: beat Buy&Hold strategy with around 10 trades. 100% capitalize sold trade into new trade. My buy strategy is triggered by the EMA(blue) crossing over the SMA curve(orange). My sell strategy is triggered by another EMA(lime) of the close value crossing the trailing stop(green) value. The trailing stop value(green) is set to a multiple of the ATR(15) value. ATR(15) is the SMA(15) value of the difference between high and low values. Every stock has it's own "DNA", so first thing to do is find the right parameters to get the best strategy values voor EMA, SMA and Trailing Stop. Then keep using these parameter for future buy/sell signals only for that particular stock. Do the same for other stocks. Here are the parameters: Exponential MA: buy trigger when crossing over the SMA value (use values between 11-50) Simple MA: buy trigger when EMA crosses over the SMA value (use values between 20 and 200) Stop EMA: sell trigger when Stop EMA of close value crosses under the trailing stop value (use values between 8 and 16) Trailing Stop #ATR: defines the trailing stop value as a multiple of the ATR(15) value Example parameters for different stocks (Start capital: 1000, Order=100% of equity, Period 1/1/2005 to now): BAR(Barco): EMA=11, SMA=82, StopEMA=12, Stop#ATR=9 Buy&HoldProfit: 45.82%, NetProfit: 294.7%, #Trades:8, %Profit:62.5%, ProfitFactor: 12.539 AAPL(Apple): EMA=12, SMA=45, StopEMA=12, Stop#ATR=6 Buy&HoldProfit: 2925.86%, NetProfit: 4035.92%, #Trades:10, %Profit:60%, ProfitFactor: 6.36 BEKB(Bekaert): EMA=12, SMA=42, StopEMA=12, Stop#ATR=7 Buy&HoldProfit: 81.11%, NetProfit: 521.37%, #Trades:10, %Profit:60%, ProfitFactor: 2.617 SOLB(Solvay): EMA=12, SMA=63, StopEMA=11, Stop#ATR=8 Buy&HoldProfit: 43.61%, NetProfit: 151.4%, #Trades:8, %Profit:75%, ProfitFactor: 3.794 PHIA(Philips): EMA=11, SMA=80, StopEMA=8, Stop#ATR=10 Buy&HoldProfit: 56.79%, NetProfit: 198.46%, #Trades:6, %Profit:83.33%, ProfitFactor: 23.07 I am very curious to see the parameters for your stocks and please make suggestions to improve this strategy.
Strategi Pine Script®
oleh XPl0RR
1
VWAP MA HLOC securities Jayy update fix This version replaces previous versions that stopped functioning as a result of a TradingView script update. This script complies with the current script syntax. for intraday securities default is 9:30 am to 4 pm Eastern Other session choices are provided in the format dialogue box. script plots VWAP, yesterday's high, low, open and close (HLOC), the day befores HLOC - if desired, today's open and todays high and low. Also signals inside bars (high is less than or equal to the previous bar's high and the low is greater than or equal to the previous low) the : true inside bars have a maroon triangle below the bar as well as a ">" above the bar. If subsequent bars are inside the last bar before the last true inside bar they also are marked with an ">" Also plots the 20 ema for different time periods (as per Al Brooks), If you trade the 5 min then you will likely be interested in the 20 ema for 15 mins and 60 mins the following is a list of the higher timeframe 20 emas 1 minute 5, 15, 60 period 20 ema 5 minute 15, 60 period 20 ema 15 minute 60, 120 , 240 period 20 ema 60 minute 120, 240 period 20 ema 120 minute 240, D period 20 ema 240 minute D period 20 ema Jayy
Penunjuk Pine Script®
oleh jayy
2
ICT Macro Slot Algo Event📊 Overview A powerful multi-timeframe trading indicator that combines Institutional Macro Session Tracking identify optimal trading windows throughout the day. This tool helps traders align with institutional flow patterns and algorithmic activity across major sessions. 🎯 Key Features 1. Macro Algo Event Sessions Tracks 6 key institutional time windows during NY Session: NY Sweep (08:50-09:10) - Opening balance flows Silver Bullet #1 (09:50-10:10) - First major macro move Silver Bullet #2 (10:50-11:10) - Second chance/retest opportunity Lunch Macro (11:50-12:10) - Mid-day repositioning Post-Lunch Rebalance (13:10-13:40) - Post-lunch adjustments NY Closing Macros (15:15-15:45) - End-of-day flows
Penunjuk Pine Script®
oleh viveksadokj1uli
ICT Macro Slot Algo Event📊 Overview A powerful multi-timeframe trading indicator that combines Institutional Macro Session Tracking to identify optimal trading windows throughout the day. This tool helps traders align with institutional flow patterns and algorithmic activity across major sessions. 🎯 Key Features 1. Macro Algo Event Sessions Tracks 6 key institutional time windows during NY Session: NY Sweep (08:50-09:10) - Opening balance flows Silver Bullet #1 (09:50-10:10) - First major macro move Silver Bullet #2 (10:50-11:10) - Second chance/retest opportunity Lunch Macro (11:50-12:10) - Mid-day repositioning Post-Lunch Rebalance (13:10-13:40) - Post-lunch adjustments NY Closing Macros (15:15-15:45) - End-of-day flows
Penunjuk Pine Script®
oleh viveksadokj1uli
1
Bifurcation Zone - CAEBifurcation Zone — Cognitive Adversarial Engine (BZ-CAE) Bifurcation Zone — CAE (BZ-CAE) is a next-generation divergence detection system enhanced by a Cognitive Adversarial Engine that evaluates both sides of every potential trade before presenting signals. Unlike traditional divergence indicators that show every price-oscillator disagreement regardless of context, BZ-CAE applies comprehensive market-state intelligence to identify only the divergences that occur in favorable conditions with genuine probability edges. The system identifies structural bifurcation points — critical junctures where price and momentum disagree, signaling potential reversals or continuations — then validates these opportunities through five interconnected intelligence layers: Trend Conviction Scoring , Directional Momentum Alignment , Multi-Factor Exhaustion Modeling , Adversarial Validation , and Confidence Scoring . The result is a selective, context-aware signal system that filters noise and highlights high-probability setups. This is not a "buy the arrow" indicator. It's a decision support framework that teaches you how to read market state, evaluate divergence quality, and make informed trading decisions based on quantified intelligence rather than hope. What Sets BZ-CAE Apart: Technical Architecture The Problem With Traditional Divergence Indicators Most divergence indicators operate on a simple rule: if price makes a higher high and RSI makes a lower high, show a bearish signal. If price makes a lower low and RSI makes a higher low, show a bullish signal. This creates several critical problems: Context Blindness : They show counter-trend signals in powerful trends that rarely reverse, leading to repeated losses as you fade momentum. Signal Spam : Every minor price-oscillator disagreement generates an alert, overwhelming you with low-quality setups and creating analysis paralysis. No Quality Ranking : All signals are treated identically. A marginal divergence in choppy conditions receives the same visual treatment as a high-conviction setup at a major exhaustion point. Single-Sided Evaluation : They ask "Is this a good long?" without checking if the short case is overwhelmingly stronger, leading you into obvious bad trades. Static Configuration : You manually choose RSI 14 or Stochastic 14 and hope it works, with no systematic way to validate if that's optimal for your instrument. BZ-CAE's Solution: Cognitive Adversarial Intelligence BZ-CAE solves these problems through an integrated five-layer intelligence architecture: 1. Trend Conviction Score (TCS) — 0 to 1 Scale Most indicators check if ADX is above 25 to determine "trending" conditions. This binary approach misses nuance. TCS is a weighted composite metric: Formula : 0.35 × normalize(ADX, 10, 35) + 0.35 × structural_strength + 0.30 × htf_alignment Structural Strength : 10-bar SMA of consecutive directional bars. Captures persistence — are bulls or bears consistently winning? HTF Alignment : Multi-timeframe EMA stacking (20/50/100/200). When all EMAs align in the same direction, you're in institutional trend territory. Purpose : Quantifies how "locked in" the trend is. When TCS exceeds your threshold (default 0.80), the system knows to avoid counter-trend trades unless other factors override. Interpretation : TCS > 0.85: Very strong trend — counter-trading is extremely high risk TCS 0.70-0.85: Strong trend — favor continuation, require exhaustion for reversals TCS 0.50-0.70: Moderate trend — context matters, both directions viable TCS < 0.50: Weak/choppy — reversals more viable, range-bound conditions 2. Directional Momentum Alignment (DMA) — ATR-Normalized Formula : (EMA21 - EMA55) / ATR14 This isn't just "price above EMA" — it's a regime-aware momentum gauge. The same $100 price movement reads completely differently in high-volatility crypto versus low-volatility forex. By normalizing with ATR, DMA adapts its interpretation to current market conditions. Purpose : Quantifies the directional "force" behind current price action. Positive = bullish push, negative = bearish push. Magnitude = strength. Interpretation : DMA > 0.7: Strong bullish momentum — bearish divergences risky DMA 0.3 to 0.7: Moderate bullish bias DMA -0.3 to 0.3: Balanced/choppy conditions DMA -0.7 to -0.3: Moderate bearish bias DMA < -0.7: Strong bearish momentum — bullish divergences risky 3. Multi-Factor Exhaustion Modeling — 0 to 1 Probability Single-metric exhaustion detection (like "RSI > 80") misses complex market states. BZ-CAE aggregates five independent exhaustion signals: Volume Spikes : Current volume versus 50-bar average 2.5x average: 0.25 weight 2.0x average: 0.15 weight 1.5x average: 0.10 weight Divergence Present : The fact that a divergence exists contributes 0.30 weight — structural momentum disagreement is itself an exhaustion signal. RSI Extremes : Captures oscillator climax zones RSI > 80 or < 20: 0.25 weight RSI > 75 or < 25: 0.15 weight Pin Bar Detection : Identifies rejection candles (2:1 wick-to-body ratio, indicating failed breakout attempts): 0.15 weight Extended Runs : Consecutive bars above/below EMA20 without pullback 30+ bars: 0.15 weight (market hasn't paused to consolidate) Total exhaustion score is the sum of all applicable weights, capped at 1.0. Purpose : Detects when strong trends become vulnerable to reversal. High exhaustion can override trend filters, allowing counter-trend trades at genuine turning points that basic indicators would miss. Interpretation : Exhaustion > 0.75: High probability of climax — yellow background shading alerts you visually Exhaustion 0.50-0.75: Moderate overextension — watch for confirmation Exhaustion < 0.50: Fresh move — trend can continue, counter-trend trades higher risk 4. Adversarial Validation — Game Theory Applied to Trading This is BZ-CAE's signature innovation. Before approving any signal, the engine quantifies BOTH sides of the trade simultaneously: For Bullish Divergences , it calculates: Bull Case Score (0-1+) : Distance below EMA20 (pullback quality): up to 0.25 Bullish EMA alignment (close > EMA20 > EMA50): 0.25 Oversold RSI (< 40): 0.25 Volume confirmation (> 1.2x average): 0.25 Bear Case Score (0-1+) : Price below EMA50 (structural weakness): 0.30 Very oversold RSI (< 30, indicating knife-catching): 0.20 Differential = Bull Case - Bear Case If differential < -0.10 (default threshold), the bear case is dominating — signal is BLOCKED or ANNOTATED. For Bearish Divergences , the logic inverts (Bear Case vs Bull Case). Purpose : Prevents trades where you're fighting obvious strength in the opposite direction. This is institutional-grade risk management — don't just evaluate your trade, evaluate the counter-trade simultaneously. Why This Matters : You might see a bullish divergence at a local low, but if price is deeply below major support EMAs with strong bearish momentum, you're catching a falling knife. The adversarial check catches this and blocks the signal. 5. Confidence Scoring — 0 to 1 Quality Assessment Every signal that passes initial filters receives a comprehensive quality score: Formula : 0.30 × normalize(TCS) // Trend context + 0.25 × normalize(|DMA|) // Momentum magnitude + 0.20 × pullback_quality // Entry distance from EMA20 + 0.15 × state_quality // ADX + alignment + structure + 0.10 × divergence_strength // Slope separation magnitude + adversarial_bonus (0-0.30) // Your side's advantage Purpose : Ranks setup quality for filtering and position sizing decisions. You can set a minimum confidence threshold (default 0.35) to ensure only quality setups reach your chart. Interpretation : Confidence > 0.70: Premium setup — consider increased position size Confidence 0.50-0.70: Good quality — standard size Confidence 0.35-0.50: Acceptable — reduced size or skip if conservative Confidence < 0.35: Marginal — blocked in Filtering mode, annotated in Advisory mode CAE Operating Modes: Learning vs Enforcement Off : Disables all CAE logic. Raw divergence pipeline only. Use for baseline comparison. Advisory : Shows ALL signals regardless of CAE evaluation, but annotates signals that WOULD be blocked with specific warnings (e.g., "Bull: strong downtrend (TCS=0.87)" or "Adversarial bearish"). This is your learning mode — see CAE's decision logic in action without missing educational opportunities. Filtering : Actively blocks low-quality signals. Only setups that pass all enabled gates (Trend Filter, Adversarial Validation, Confidence Gating) reach your chart. This is your live trading mode — trust the system to enforce discipline. CAE Filter Gates: Three-Layer Protection When CAE is enabled, signals must pass through three independent gates (each can be toggled on/off): Gate 1: Strong Trend Filter If TCS ≥ tcs_threshold (default 0.80) And signal is counter-trend (bullish in downtrend or bearish in uptrend) And exhaustion < exhaustion_required (default 0.50) Then: BLOCK signal Logic: Don't fade strong trends unless the move is clearly overextended Gate 2: Adversarial Validation Calculate both bull case and bear case scores If opposing case dominates by more than adv_threshold (default 0.10) Then: BLOCK signal Logic: Avoid trades where you're fighting obvious strength in the opposite direction Gate 3: Confidence Gating Calculate composite confidence score (0-1) If confidence < min_confidence (default 0.35) Then: In Filtering mode, BLOCK signal; in Advisory mode, ANNOTATE with warning Logic: Only take setups with minimum quality threshold All three gates work together. A signal must pass ALL enabled gates to fire. Visual Intelligence System Bifurcation Zones (Supply/Demand Blocks) When a divergence signal fires, BZ-CAE draws a semi-transparent box extending 15 bars forward from the signal pivot: Demand Zones (Bullish) : Theme-colored box (cyan in Cyberpunk, blue in Professional, etc.) labeled "Demand" — marks where smart money likely placed buy orders as price diverged at the low. Supply Zones (Bearish) : Theme-colored box (magenta in Cyberpunk, orange in Professional) labeled "Supply" — marks where smart money likely placed sell orders as price diverged at the high. Theory : Divergences represent institutional disagreement with the crowd. The crowd pushed price to an extreme (new high or low), but momentum (oscillator) is waning, indicating smart money is taking the opposite side. These zones mark order placement areas that become future support/resistance. Use Cases : Exit targets: Take profit when price returns to opposite-side zone Re-entry levels: If price returns to your entry zone, consider adding Stop placement: Place stops just beyond your zone (below demand, above supply) Auto-Cleanup : System keeps the last 20 zones to prevent chart clutter. Adversarial Bar Coloring — Real-Time Market Debate Heatmap Each bar is colored based on the Bull Case vs Bear Case differential: Strong Bull Advantage (diff > 0.3): Full theme bull color (e.g., cyan) Moderate Bull Advantage (diff > 0.1): 50% transparency bull Neutral (diff -0.1 to 0.1): Gray/neutral theme Moderate Bear Advantage (diff < -0.1): 50% transparency bear Strong Bear Advantage (diff < -0.3): Full theme bear color (e.g., magenta) This creates a real-time visual heatmap showing which side is "winning" the market debate. When bars flip from cyan to magenta (or vice versa), you're witnessing a shift in adversarial advantage — a leading indicator of potential momentum changes. Exhaustion Shading When exhaustion score exceeds 0.75, the chart background displays a semi-transparent yellow highlight. This immediate visual warning alerts you that the current move is at high risk of reversal, even if trend indicators remain strong. Visual Themes — Six Aesthetic Options Cyberpunk : Cyan/Magenta/Yellow — High contrast, neon aesthetic, excellent for dark-themed trading environments Professional : Blue/Orange/Green — Corporate color palette, suitable for presentations and professional documentation Ocean : Teal/Red/Cyan — Aquatic palette, calming for extended monitoring sessions Fire : Orange/Red/Coral — Warm aggressive colors, high energy Matrix : Green/Red/Lime — Code aesthetic, homage to classic hacker visuals Monochrome : White/Gray — Minimal distraction, maximum focus on price action All visual elements (signal markers, zones, bar colors, dashboard) adapt to your selected theme. Divergence Engine — Core Detection System What Are Divergences? Divergences occur when price action and momentum indicators disagree, creating structural tension that often resolves in a change of direction: Regular Divergence (Reversal Signal) : Bearish Regular : Price makes higher high, oscillator makes lower high → Potential trend reversal down Bullish Regular : Price makes lower low, oscillator makes higher low → Potential trend reversal up Hidden Divergence (Continuation Signal) : Bearish Hidden : Price makes lower high, oscillator makes higher high → Downtrend continuation Bullish Hidden : Price makes higher low, oscillator makes lower low → Uptrend continuation Both types can be enabled/disabled independently in settings. Pivot Detection Methods BZ-CAE uses symmetric pivot detection with separate lookback and lookforward periods (default 5/5): Pivot High : Bar where high > all highs within lookback range AND high > all highs within lookforward range Pivot Low : Bar where low < all lows within lookback range AND low < all lows within lookforward range This ensures structural validity — the pivot must be a clear local extreme, not just a minor wiggle. Divergence Validation Requirements For a divergence to be confirmed, it must satisfy: Slope Disagreement : Price slope and oscillator slope must move in opposite directions (for regular divs) or same direction with inverted highs/lows (for hidden divs) Minimum Slope Change : |osc_slope| > min_slope_change / 100 (default 1.0) — filters weak, marginal divergences Maximum Lookback Range : Pivots must be within max_lookback bars (default 60) — prevents ancient, irrelevant divergences ATR-Normalized Strength : Divergence strength = min(|price_slope| × |osc_slope| × 10, 1.0) — quantifies the magnitude of disagreement in volatility context Regular divergences receive 1.0× weight; hidden divergences receive 0.8× weight (slightly less reliable historically). Oscillator Options — Five Professional Indicators RSI (Relative Strength Index) : Classic overbought/oversold momentum indicator. Best for: General purpose divergence detection across all instruments. Stochastic : Range-bound %K momentum comparing close to high-low range. Best for: Mean reversion strategies and range-bound markets. CCI (Commodity Channel Index) : Measures deviation from statistical mean, auto-normalized to 0-100 scale. Best for: Cyclical instruments and commodities. MFI (Money Flow Index) : Volume-weighted RSI incorporating money flow. Best for: Volume-driven markets like stocks and crypto. Williams %R : Inverse stochastic looking back over period, auto-adjusted to 0-100. Best for: Reversal detection at extremes. Each oscillator has adjustable length (2-200, default 14) and smoothing (1-20, default 1). You also set overbought (50-100, default 70) and oversold (0-50, default 30) thresholds. Signal Timing Modes — Understanding Repainting BZ-CAE offers two timing policies with complete transparency about repainting behavior: Realtime (1-bar, peak-anchored) How It Works : Detects peaks 1 bar ago using pattern: high > high AND high > high Signal prints on the NEXT bar after peak detection (bar_index) Visual marker anchors to the actual PEAK bar (bar_index - 1, offset -1) Signal locks in when bar CONFIRMS (closes) Repainting Behavior : On the FORMING bar (before close), the peak condition may change as new prices arrive Once bar CLOSES (barstate.isconfirmed), signal is locked permanently This is preview/early warning behavior by design Best For : Active monitoring and immediate alerts Learning the system (seeing signals develop in real-time) Responsive entry if you're watching the chart live Confirmed (lookforward) How It Works : Uses Pine Script's built-in ta.pivothigh() and ta.pivotlow() functions Requires full pivot validation period (lookback + lookforward bars) Signal prints pivot_lookforward bars after the actual peak (default 5-bar delay) Visual marker anchors to the actual peak bar (offset -pivot_lookforward) No Repainting Behavior Best For : Backtesting and historical analysis Conservative entries requiring full confirmation Automated trading systems Swing trading with larger timeframes Tradeoff : Delayed entry by pivot_lookforward bars (typically 5 bars) On a 5-minute chart, this is a 25-minute delay On a 4-hour chart, this is a 20-hour delay Recommendation : Use Confirmed for backtesting to verify system performance honestly. Use Realtime for live monitoring only if you're actively watching the chart and understand pre-confirmation repainting behavior. Signal Spacing System — Anti-Spam Architecture Even after CAE filtering, raw divergences can cluster. The spacing system enforces separation: Three Independent Filters 1. Min Bars Between ANY Signals (default 12): Prevents rapid-fire clustering across both directions If last signal (bull or bear) was within N bars, block new signal Ensures breathing room between all setups 2. Min Bars Between SAME-SIDE Signals (default 24, optional enforcement): Prevents bull-bull or bear-bear spam Separate tracking for bullish and bearish signal timelines Toggle enforcement on/off 3. Min ATR Distance From Last Signal (default 0, optional): Requires price to move N × ATR from last signal location Ensures meaningful price movement between setups 0 = disabled, 0.5-2.0 = typical range for enabled All three filters work independently. A signal must pass ALL enabled filters to proceed. Practical Guidance : Scalping (1-5m) : Any 6-10, Same-side 12-20, ATR 0-0.5 Day Trading (15m-1H) : Any 12, Same-side 24, ATR 0-1.0 Swing Trading (4H-D) : Any 20-30, Same-side 40-60, ATR 1.0-2.0 Dashboard — Real-Time Control Center The dashboard (toggleable, four corner positions, three sizes) provides comprehensive system intelligence: Oscillator Section Current oscillator type and value State: OVERBOUGHT / OVERSOLD / NEUTRAL (color-coded) Length parameter Cognitive Engine Section TCS (Trend Conviction Score) : Current value with emoji state indicator 🔥 = Strong trend (>0.75) 📊 = Moderate trend (0.50-0.75) 〰️ = Weak/choppy (<0.50) Color: Red if above threshold (trend filter active), yellow if moderate, green if weak DMA (Directional Momentum Alignment) : Current value with emoji direction indicator 🐂 = Bullish momentum (>0.5) ⚖️ = Balanced (-0.5 to 0.5) 🐻 = Bearish momentum (<-0.5) Color: Green if bullish, red if bearish Exhaustion : Current value with emoji warning indicator ⚠️ = High exhaustion (>0.75) 🟡 = Moderate (0.50-0.75) ✓ = Low (<0.50) Color: Red if high, yellow if moderate, green if low Pullback : Quality of current distance from EMA20 Values >0.6 are ideal entry zones (not too close, not too far) Bull Case / Bear Case (if Adversarial enabled): Current scores for both sides of the market debate Differential with emoji indicator: 📈 = Bull advantage (>0.2) ➡️ = Balanced (-0.2 to 0.2) 📉 = Bear advantage (<-0.2) Last Signal Metrics Section (New Feature) When a signal fires, this section captures and displays: Signal type (BULL or BEAR) Bars elapsed since signal Confidence % at time of signal TCS value at signal time DMA value at signal time Purpose : Provides a historical reference for learning. You can see what the market state looked like when the last signal fired, helping you correlate outcomes with conditions. Statistics Section Total Signals : Lifetime count across session Blocked Signals : Count and percentage (filter effectiveness metric) Bull Signals : Total bullish divergences Bear Signals : Total bearish divergences Purpose : System health monitoring. If blocked % is very high (>60%), filters may be too strict. If very low (<10%), filters may be too loose. Advisory Annotations When CAE Mode = Advisory, this section displays warnings for signals that would be blocked in Filtering mode: Examples: "Bull spacing: wait 8 bars" "Bear: strong uptrend (TCS=0.87)" "Adversarial bearish" "Low confidence 32%" Multiple warnings can stack, separated by " | ". This teaches you CAE's decision logic transparently. How to Use BZ-CAE — Complete Workflow Phase 1: Initial Setup (First Session) Apply BZ-CAE to your chart Select your preferred Visual Theme (Cyberpunk recommended for visibility) Set Signal Timing to "Confirmed (lookforward)" for learning Choose your Oscillator Type (RSI recommended for general use, length 14) Set Overbought/Oversold to 70/30 (standard) Enable both Regular Divergence and Hidden Divergence Set Pivot Lookback/Lookforward to 5/5 (balanced structure) Enable CAE Intelligence Set CAE Mode to "Advisory" (learning mode) Enable all three CAE filters: Strong Trend Filter , Adversarial Validation , Confidence Gating Enable Show Dashboard , position Top Right, size Normal Enable Draw Bifurcation Zones and Adversarial Bar Coloring Phase 2: Learning Period (Weeks 1-2) Goal : Understand how CAE evaluates market state and filters signals. Activities : Watch the dashboard during signals : Note TCS values when counter-trend signals fail — this teaches you the trend strength threshold for your instrument Observe exhaustion patterns at actual turning points — learn when overextension truly matters Study adversarial differential at signal times — see when opposing cases dominate Review blocked signals (orange X-crosses): In Advisory mode, you see everything — signals that would pass AND signals that would be blocked Check the advisory annotations to understand why CAE would block Track outcomes: Were the blocks correct? Did those signals fail? Use Last Signal Metrics : After each signal, check the dashboard capture of confidence, TCS, and DMA Journal these values alongside trade outcomes Identify patterns: Do confidence >0.70 signals work better? Does your instrument respect TCS >0.85? Understand your instrument's "personality" : Trending instruments (indices, major forex) may need TCS threshold 0.85-0.90 Choppy instruments (low-cap stocks, exotic pairs) may work best with TCS 0.70-0.75 High-volatility instruments (crypto) may need wider spacing Low-volatility instruments may need tighter spacing Phase 3: Calibration (Weeks 3-4) Goal : Optimize settings for your specific instrument, timeframe, and style. Calibration Checklist : Min Confidence Threshold : Review confidence distribution in your signal journal Identify the confidence level below which signals consistently fail Set min_confidence slightly above that level Day trading : 0.35-0.45 Swing trading : 0.40-0.55 Scalping : 0.30-0.40 TCS Threshold : Find the TCS level where counter-trend signals consistently get stopped out Set tcs_threshold at or slightly below that level Trending instruments : 0.85-0.90 Mixed instruments : 0.80-0.85 Choppy instruments : 0.75-0.80 Exhaustion Override Level : Identify exhaustion readings that marked genuine reversals Set exhaustion_required just below the average Typical range : 0.45-0.55 Adversarial Threshold : Default 0.10 works for most instruments If you find CAE is too conservative (blocking good trades), raise to 0.15-0.20 If signals are still getting caught in opposing momentum, lower to 0.07-0.09 Spacing Parameters : Count bars between quality signals in your journal Set min bars ANY to ~60% of that average Set min bars SAME-SIDE to ~120% of that average Scalping : Any 6-10, Same 12-20 Day trading : Any 12, Same 24 Swing : Any 20-30, Same 40-60 Oscillator Selection : Try different oscillators for 1-2 weeks each Track win rate and average winner/loser by oscillator type RSI : Best for general use, clear OB/OS Stochastic : Best for range-bound, mean reversion MFI : Best for volume-driven markets CCI : Best for cyclical instruments Williams %R : Best for reversal detection Phase 4: Live Deployment Goal : Disciplined execution with proven, calibrated system. Settings Changes : Switch CAE Mode from Advisory to Filtering System now actively blocks low-quality signals Only setups passing all gates reach your chart Keep Signal Timing on Confirmed for conservative entries OR switch to Realtime if you're actively monitoring and want faster entries (accept pre-confirmation repaint risk) Use your calibrated thresholds from Phase 3 Enable high-confidence alerts: "⭐ High Confidence Bullish/Bearish" (>0.70) Trading Discipline Rules : Respect Blocked Signals : If CAE blocks a trade you wanted to take, TRUST THE SYSTEM Don't manually override — if you consistently disagree, return to Phase 2/3 calibration The block exists because market state failed intelligence checks Confidence-Based Position Sizing : Confidence >0.70: Standard or increased size (e.g., 1.5-2.0% risk) Confidence 0.50-0.70: Standard size (e.g., 1.0% risk) Confidence 0.35-0.50: Reduced size (e.g., 0.5% risk) or skip if conservative TCS-Based Management : High TCS + counter-trend signal: Use tight stops, quick exits (you're fading momentum) Low TCS + reversal signal: Use wider stops, trail aggressively (genuine reversal potential) Exhaustion Awareness : Exhaustion >0.75 (yellow shading): Market is overextended, reversal risk is elevated — consider early exit or tighter trailing stops even on winning trades Exhaustion <0.30: Continuation bias — hold for larger move, wide trailing stops Adversarial Context : Strong differential against you (e.g., bullish signal with bear diff <-0.2): Use very tight stops, consider skipping Strong differential with you (e.g., bullish signal with bull diff >0.2): Trail aggressively, this is your tailwind Practical Settings by Timeframe & Style Scalping (1-5 Minute Charts) Objective : High frequency, tight stops, quick reversals in fast-moving markets. Oscillator : Type: RSI or Stochastic (fast response to quick moves) Length: 9-11 (more responsive than standard 14) Smoothing: 1 (no lag) OB/OS: 65/35 (looser thresholds ensure frequent crossings in fast conditions) Divergence : Pivot Lookback/Lookforward: 3/3 (tight structure, catch small swings) Max Lookback: 40-50 bars (recent structure only) Min Slope Change: 0.8-1.0 (don't be overly strict) CAE : Mode: Advisory first (learn), then Filtering Min Confidence: 0.30-0.35 (lower bar for speed, accept more signals) TCS Threshold: 0.70-0.75 (allow more counter-trend opportunities) Exhaustion Required: 0.45-0.50 (moderate override) Strong Trend Filter: ON (still respect major intraday trends) Adversarial: ON (critical for scalping protection — catches bad entries quickly) Spacing : Min Bars ANY: 6-10 (fast pace, many setups) Min Bars SAME-SIDE: 12-20 (prevent clustering) Min ATR Distance: 0 or 0.5 (loose) Timing : Realtime (speed over precision, but understand repaint risk) Visuals : Signal Size: Tiny (chart clarity in busy conditions) Show Zones: Optional (can clutter on low timeframes) Bar Coloring: ON (helps read momentum shifts quickly) Dashboard: Small size (corner reference, not main focus) Key Consideration : Scalping generates noise. Even with CAE, expect lower win rate (45-55%) but aim for favorable R:R (2:1 or better). Size conservatively. Day Trading (15-Minute to 1-Hour Charts) Objective : Balance quality and frequency. Standard divergence trading approach. Oscillator : Type: RSI or MFI (proven reliability, volume confirmation with MFI) Length: 14 (industry standard, well-studied) Smoothing: 1-2 OB/OS: 70/30 (classic levels) Divergence : Pivot Lookback/Lookforward: 5/5 (balanced structure) Max Lookback: 60 bars Min Slope Change: 1.0 (standard strictness) CAE : Mode: Filtering (enforce discipline from the start after brief Advisory learning) Min Confidence: 0.35-0.45 (quality filter without being too restrictive) TCS Threshold: 0.80-0.85 (respect strong trends) Exhaustion Required: 0.50 (balanced override threshold) Strong Trend Filter: ON Adversarial: ON Confidence Gating: ON (all three filters active) Spacing : Min Bars ANY: 12 (breathing room between all setups) Min Bars SAME-SIDE: 24 (prevent bull/bear clusters) Min ATR Distance: 0-1.0 (optional refinement, typically 0.5-1.0) Timing : Confirmed (1-bar delay for reliability, no repainting) Visuals : Signal Size: Tiny or Small Show Zones: ON (useful reference for exits/re-entries) Bar Coloring: ON (context awareness) Dashboard: Normal size (full visibility) Key Consideration : This is the "sweet spot" timeframe for BZ-CAE. Market structure is clear, CAE has sufficient data, and signal frequency is manageable. Expect 55-65% win rate with proper execution. Swing Trading (4-Hour to Daily Charts) Objective : Quality over quantity. High conviction only. Larger stops and targets. Oscillator : Type: RSI or CCI (robust on higher timeframes, smooth longer waves) Length: 14-21 (capture larger momentum swings) Smoothing: 1-3 OB/OS: 70/30 or 75/25 (strict extremes) Divergence : Pivot Lookback/Lookforward: 5/5 or 7/7 (structural purity, major swings only) Max Lookback: 80-100 bars (broader historical context) Min Slope Change: 1.2-1.5 (require strong, undeniable divergence) CAE : Mode: Filtering (strict enforcement, premium setups only) Min Confidence: 0.40-0.55 (high bar for entry) TCS Threshold: 0.85-0.95 (very strong trend protection — don't fade established HTF trends) Exhaustion Required: 0.50-0.60 (higher bar for override — only extreme exhaustion justifies counter-trend) Strong Trend Filter: ON (critical on HTF) Adversarial: ON (avoid obvious bad trades) Confidence Gating: ON (quality gate essential) Spacing : Min Bars ANY: 20-30 (substantial separation) Min Bars SAME-SIDE: 40-60 (significant breathing room) Min ATR Distance: 1.0-2.0 (require meaningful price movement) Timing : Confirmed (purity over speed, zero repaint for swing accuracy) Visuals : Signal Size: Small or Normal (clear markers on zoomed-out view) Show Zones: ON (important HTF levels) Bar Coloring: ON (long-term trend awareness) Dashboard: Normal or Large (comprehensive analysis) Key Consideration : Swing signals are rare but powerful. Expect 2-5 signals per month per instrument. Win rate should be 60-70%+ due to stringent filtering. Position size can be larger given confidence. Dashboard Interpretation Reference TCS (Trend Conviction Score) States 0.00-0.50: Weak/Choppy Emoji: 〰️ Color: Green/cyan Meaning: No established trend. Range-bound or consolidating. Both reversal and continuation signals viable. Action: Reversals (regular divs) are safer. Use wider profit targets (market has room to move). Consider mean reversion strategies. 0.50-0.75: Moderate Trend Emoji: 📊 Color: Yellow/neutral Meaning: Developing trend but not locked in. Context matters significantly. Action: Check DMA and exhaustion. If DMA confirms trend and exhaustion is low, favor continuation (hidden divs). If exhaustion is high, reversals are viable. 0.75-0.85: Strong Trend Emoji: 🔥 Color: Orange/warning Meaning: Well-established trend with persistence. Counter-trend is high risk. Action: Require exhaustion >0.50 for counter-trend entries. Favor continuation signals. Use tight stops on counter-trend attempts. 0.85-1.00: Very Strong Trend Emoji: 🔥🔥 Color: Red/danger (if counter-trading) Meaning: Locked-in institutional trend. Extremely high risk to fade. Action: Avoid counter-trend unless exhaustion >0.75 (yellow shading). Focus exclusively on continuation opportunities. Momentum is king here. DMA (Directional Momentum Alignment) Zones -2.0 to -1.0: Strong Bearish Momentum Emoji: 🐻🐻 Color: Dark red Meaning: Powerful downside force. Sellers are in control. Action: Bullish divergences are counter-momentum (high risk). Bearish divergences are with-momentum (lower risk). Size down on longs. -0.5 to 0.5: Neutral/Balanced Emoji: ⚖️ Color: Gray/neutral Meaning: No strong directional bias. Choppy or consolidating. Action: Both directions have similar probability. Focus on confidence score and adversarial differential for edge. 1.0 to 2.0: Strong Bullish Momentum Emoji: 🐂🐂 Color: Bright green/cyan Meaning: Powerful upside force. Buyers are in control. Action: Bearish divergences are counter-momentum (high risk). Bullish divergences are with-momentum (lower risk). Size down on shorts. Exhaustion States 0.00-0.50: Fresh Move Emoji: ✓ Color: Green Meaning: Trend is healthy, not overextended. Room to run. Action: Counter-trend trades are premature. Favor continuation. Hold winners for larger moves. Avoid early exits. 0.50-0.75: Mature Move Emoji: 🟡 Color: Yellow Meaning: Move is aging. Watch for signs of climax. Action: Tighten trailing stops on winning trades. Be ready for reversals. Don't add to positions aggressively. 0.75-0.85: High Exhaustion Emoji: ⚠️ Color: Orange Background: Yellow shading appears Meaning: Move is overextended. Reversal risk elevated significantly. Action: Counter-trend reversals are higher probability. Consider early exits on with-trend positions. Size up on reversal divergences (if CAE allows). 0.85-1.00: Critical Exhaustion Emoji: ⚠️⚠️ Color: Red Background: Yellow shading intensifies Meaning: Climax conditions. Reversal imminent or underway. Action: Aggressive reversal trades justified. Exit all with-trend positions. This is where major turns occur. Confidence Score Tiers 0.00-0.30: Low Quality Color: Red Status: Blocked in Filtering mode Action: Skip entirely. Setup lacks fundamental quality across multiple factors. 0.30-0.50: Moderate Quality Color: Yellow/orange Status: Marginal — passes in Filtering only if >min_confidence Action: Reduced position size (0.5-0.75% risk). Tight stops. Conservative profit targets. Skip if you're selective. 0.50-0.70: High Quality Color: Green/cyan Status: Good setup across most quality factors Action: Standard position size (1.0-1.5% risk). Normal stops and targets. This is your bread-and-butter trade. 0.70-1.00: Premium Quality Color: Bright green/gold Status: Exceptional setup — all factors aligned Visual: Double confidence ring appears Action: Consider increased position size (1.5-2.0% risk, maximum). Wider stops. Larger targets. High probability of success. These are rare — capitalize when they appear. Adversarial Differential Interpretation Bull Differential > 0.3 : Visual: Strong cyan/green bar colors Meaning: Bull case strongly dominates. Buyers have clear advantage. Action: Bullish divergences favored (with-advantage). Bearish divergences face headwind (reduce size or skip). Momentum is bullish. Bull Differential 0.1 to 0.3 : Visual: Moderate cyan/green transparency Meaning: Moderate bull advantage. Buyers have edge but not overwhelming. Action: Both directions viable. Slight bias toward longs. Differential -0.1 to 0.1 : Visual: Gray/neutral bars Meaning: Balanced debate. No clear advantage either side. Action: Rely on other factors (confidence, TCS, exhaustion) for direction. Adversarial is neutral. Bear Differential -0.3 to -0.1 : Visual: Moderate red/magenta transparency Meaning: Moderate bear advantage. Sellers have edge but not overwhelming. Action: Both directions viable. Slight bias toward shorts. Bear Differential < -0.3 : Visual: Strong red/magenta bar colors Meaning: Bear case strongly dominates. Sellers have clear advantage. Action: Bearish divergences favored (with-advantage). Bullish divergences face headwind (reduce size or skip). Momentum is bearish. Last Signal Metrics — Post-Trade Analysis After a signal fires, dashboard captures: Type : BULL or BEAR Bars Ago : How long since signal (updates every bar) Confidence : What was the quality score at signal time TCS : What was trend conviction at signal time DMA : What was momentum alignment at signal time Use Case : Post-trade journaling and learning. Example: "BULL signal 12 bars ago. Confidence: 68%, TCS: 0.42, DMA: -0.85" Analysis : This was a bullish reversal (regular div) with good confidence, weak trend (TCS), but strong bearish momentum (DMA). The bet was that momentum would reverse — a counter-momentum play requiring exhaustion confirmation. Check if exhaustion was high at that time to justify the entry. Track patterns: Do your best trades have confidence >0.65? Do low-TCS signals (<0.50) work better for you? Are you more successful with-momentum (DMA aligned with signal) or counter-momentum? Troubleshooting Guide Problem: No Signals Appearing Symptoms : Chart loads, dashboard shows metrics, but no divergence signals fire. Diagnosis Checklist : Check dashboard oscillator value : Is it crossing OB/OS levels (70/30)? If oscillator stays in 40-60 range constantly, it can't reach extremes needed for divergence detection. Are pivots forming? : Look for local swing highs/lows on your chart. If price is in tight consolidation, pivots may not meet lookback/lookforward requirements. Is spacing too tight? : Check "Last Signal" metrics — how many bars since last signal? If <12 and your min_bars_ANY is 12, spacing filter is blocking. Is CAE blocking everything? : Check dashboard Statistics section — what's the blocked signal count? High blocks indicate overly strict filters. Solutions : Loosen OB/OS Temporarily : Try 65/35 to verify divergence detection works If signals appear, the issue was threshold strictness Gradually tighten back to 67/33, then 70/30 as appropriate Lower Min Confidence : Try 0.25-0.30 (diagnostic level) If signals appear, filter was too strict Raise gradually to find sweet spot (0.35-0.45 typical) Disable Strong Trend Filter Temporarily : Turn off in CAE settings If signals appear, TCS threshold was blocking everything Re-enable and lower TCS_threshold to 0.70-0.75 Reduce Min Slope Change : Try 0.7-0.8 (from default 1.0) Allows weaker divergences through Helpful on low-volatility instruments Widen Spacing : Set min_bars_ANY to 6-8 Set min_bars_SAME_SIDE to 12-16 Reduces time between allowed signals Check Timing Mode : If using Confirmed, remember there's a pivot_lookforward delay (5+ bars) Switch to Realtime temporarily to verify system is working Realtime has no delay but repaints Verify Oscillator Settings : Length 14 is standard but might not fit all instruments Try length 9-11 for faster response Try length 18-21 for slower, smoother response Problem: Too Many Signals (Signal Spam) Symptoms : Dashboard shows 50+ signals in Statistics, confidence scores mostly <0.40, signals clustering close together. Solutions : Raise Min Confidence : Try 0.40-0.50 (quality filter) Blocks bottom-tier setups Targets top 50-60% of divergences only Tighten OB/OS : Use 70/30 or 75/25 Requires more extreme oscillator readings Reduces false divergences in mid-range Increase Min Slope Change : Try 1.2-1.5 (from default 1.0) Requires stronger, more obvious divergences Filters marginal slope disagreements Raise TCS Threshold : Try 0.85-0.90 (from default 0.80) Stricter trend filter blocks more counter-trend attempts Favors only strongest trend alignment Enable ALL CAE Gates : Turn on Trend Filter + Adversarial + Confidence Triple-layer protection Blocks aggressively — expect 20-40% reduction in signals Widen Spacing : min_bars_ANY: 15-20 (from 12) min_bars_SAME_SIDE: 30-40 (from 24) Creates substantial breathing room Switch to Confirmed Timing : Removes realtime preview noise Ensures full pivot validation 5-bar delay filters many false starts Problem: Signals in Strong Trends Get Stopped Out Symptoms : You take a bullish divergence in a downtrend (or bearish in uptrend), and it immediately fails. Dashboard showed high TCS at the time. Analysis : This is INTENDED behavior — CAE is protecting you from low-probability counter-trend trades. Understanding : Check Last Signal Metrics in dashboard — what was TCS when signal fired? If TCS was >0.85 and signal was counter-trend, CAE correctly identified it as high risk Strong trends rarely reverse cleanly without major exhaustion Your losses here are the system working as designed (blocking bad odds) If You Want to Override (Not Recommended) : Lower TCS_threshold to 0.70-0.75 (allows more counter-trend) Lower exhaustion_required to 0.40 (easier override) Disable Strong Trend Filter entirely (very risky) Better Approach : TRUST THE FILTER — it's preventing costly mistakes Wait for exhaustion >0.75 (yellow shading) before counter-trending strong TCS Focus on continuation signals (hidden divs) in high-TCS environments Use Advisory mode to see what CAE is blocking and learn from outcomes Problem: Adversarial Blocking Seems Wrong Symptoms : You see a divergence that "looks good" visually, but CAE blocks with "Adversarial bearish/bullish" warning. Diagnosis : Check dashboard Bull Case and Bear Case scores at that moment Look at Differential value Check adversarial bar colors — was there strong coloring against your intended direction? Understanding : Adversarial catches "obvious" opposing momentum that's easy to miss Example: Bullish divergence at a local low, BUT price is deeply below EMA50, bearish momentum is strong, and RSI shows knife-catching conditions Bull Case might be 0.20 while Bear Case is 0.55 Differential = -0.35, far beyond threshold Block is CORRECT — you'd be fighting overwhelming opposing flow If You Disagree Consistently Review blocked signals on chart — scroll back and check outcomes Did those blocked signals actually work, or did they fail as adversarial predicted? Raise adv_threshold to 0.15-0.20 (more permissive, allows closer battles) Disable Adversarial Validation temporarily (diagnostic) to isolate its effect Use Advisory mode to learn adversarial patterns over 50-100 signals Remember : Adversarial is conservative BY DESIGN. It prevents "obvious" bad trades where you're fighting strong strength the other way. Problem: Dashboard Not Showing or Incomplete Solutions : Toggle "Show Dashboard" to ON in settings Try different dashboard sizes (Small/Normal/Large) Try different positions (Top Left/Right, Bottom Left/Right) — might be off-screen Some sections require CAE Enable = ON (Cognitive Engine section won't appear if CAE is disabled) Statistics section requires at least 1 lifetime signal to populate Check that visual theme is set (dashboard colors adapt to theme) Problem: Performance Lag, Chart Freezing Symptoms : Chart loading is slow, indicator calculations cause delays, pinch-to-zoom lags. Diagnosis : Visual features are computationally expensive, especially adversarial bar coloring (recalculates every bar). Solutions (In Order of Impact) : Disable Adversarial Bar Coloring (MOST EXPENSIVE): Turn OFF "Adversarial Bar Coloring" in settings This is the single biggest performance drain Immediate improvement Reduce Vertical Lines : Lower "Keep last N vertical lines" to 20-30 Or set to 0 to disable entirely Moderate improvement Disable Bifurcation Zones : Turn OFF "Draw Bifurcation Zones" Reduces box drawing calculations Moderate improvement Set Dashboard Size to Small : Smaller dashboard = fewer cells = less rendering Minor improvement Use Shorter Max Lookback : Reduce max_lookback to 40-50 (from 60+) Fewer bars to scan for divergences Minor improvement Disable Exhaustion Shading : Turn OFF "Show Market State" Removes background coloring calculations Minor improvement Extreme Performance Mode : Disable ALL visual enhancements Keep only triangle markers Dashboard Small or OFF Use Minimal theme if available Problem: Realtime Signals Repainting Symptoms : You see a signal appear, but on next bar it disappears or moves. Explanation : Realtime mode detects peaks 1 bar ago: high > high AND high > high On the FORMING bar (before close), this condition can change as new prices arrive Example: At 10:05, high (10:04 bar) was 100, current high is 99 → peak detected At 10:05:30, new high of 101 arrives → peak condition breaks → signal disappears At 10:06 (bar close), final high is 101 → no peak at 10:04 anymore → signal gone permanently This is expected behavior for realtime responsiveness. You get preview/early warning, but it's not locked until bar confirms. Solutions : Use Confirmed Timing : Switch to "Confirmed (lookforward)" mode ZERO repainting — pivot must be fully validated 5-bar delay (pivot_lookforward) What you see in history is exactly what would have appeared live Accept Realtime Repaint as Tradeoff : Keep Realtime mode for speed and alerts Understand that pre-confirmation signals may vanish Only trade signals that CONFIRM at bar close (check barstate.isconfirmed) Use for live monitoring, NOT for backtesting Trade Only After Confirmation : In Realtime mode, wait 1 full bar after signal appears before entering If signal survives that bar close, it's locked This adds 1-bar delay but removes repaint risk Recommendation : Use Confirmed for backtesting and conservative trading. Use Realtime only for active monitoring with full understanding of preview behavior. Risk Management Integration BZ-CAE is a signal generation system, not a complete trading strategy. You must integrate proper risk management: Position Sizing by Confidence Confidence 0.70-1.00 (Premium) : Risk: 1.5-2.0% of account (MAXIMUM) Reasoning: High-quality setup across all factors Still cap at 2% — even premium setups can fail Confidence 0.50-0.70 (High Quality) : Risk: 1.0-1.5% of account Reasoning: Standard good setup Your bread-and-butter risk level Confidence 0.35-0.50 (Moderate Quality) : Risk: 0.5-1.0% of account Reasoning: Marginal setup, passes minimum threshold Reduce size or skip if you're selective Confidence <0.35 (Low Quality) : Risk: 0% (blocked in Filtering mode) Reasoning: Insufficient quality factors System protects you by not showing these Stop Placement Strategies For Reversal Signals (Regular Divergences) : Place stop beyond the divergence pivot plus buffer Bullish : Stop below the divergence low - 1.0-1.5 × ATR Bearish : Stop above the divergence high + 1.0-1.5 × ATR Reasoning: If price breaks the pivot, divergence structure is invalidated For Continuation Signals (Hidden Divergences) : Place stop beyond recent swing in opposite direction Bullish continuation : Stop below recent swing low (not the divergence pivot itself) Bearish continuation : Stop above recent swing high Reasoning: You're trading with trend, allow more breathing room ATR-Based Stops : 1.5-2.0 × ATR is standard Scale by timeframe: Scalping (1-5m): 1.0-1.5 × ATR (tight) Day trading (15m-1H): 1.5-2.0 × ATR (balanced) Swing (4H-D): 2.0-3.0 × ATR (wide) Never Use Fixed Dollar/Pip Stops : Markets have different volatility 50-pip stop on EUR/USD ≠ 50-pip stop on GBP/JPY Always normalize by ATR or pivot structure Profit Targets and Scaling Primary Target : 2-3 × ATR from entry (minimum 2:1 reward-risk) Example : Entry at 100, ATR = 2, stop at 97 (1.5 × ATR) → target at 106 (3 × ATR) = 2:1 R:R Scaling Out Strategy : Take 50% off at 1.5 × ATR (secure partial profit) Move stop to breakeven Trail remaining 50% with 1.0 × ATR trailing stop Let winners run if trend persists Targets by Confidence : High Confidence (>0.70) : Aggressive targets (3-4 × ATR), trail wider (1.5 × ATR) Standard Confidence (0.50-0.70) : Normal targets (2-3 × ATR), standard trail (1.0 × ATR) Low Confidence (0.35-0.50) : Conservative targets (1.5-2 × ATR), tight trail (0.75 × ATR) Use Bifurcation Zones : If opposite-side zone is visible on chart (from previous signal), use it as target Example : Bullish signal at 100, prior supply zone at 110 → use 110 as target Zones mark institutional resistance/support Exhaustion-Based Exits : If you're in a trade and exhaustion >0.75 develops (yellow shading), consider early exit Market is overextended — reversal risk is high Take profit even if target not reached Trade Management by TCS High TCS + Counter-Trend Trade (Risky) : Use very tight stops (1.0-1.5 × ATR) Conservative targets (1.5-2 × ATR) Quick exit if trade doesn't work immediately You're fading momentum — respect it Low TCS + Reversal Trade (Safer) : Use wider stops (2.0-2.5 × ATR) Aggressive targets (3-4 × ATR) Trail with patience Genuine reversal potential in weak trend High TCS + Continuation Trade (Safest) : Standard stops (1.5-2.0 × ATR) Very aggressive targets (4-5 × ATR) Trail wide (1.5-2.0 × ATR) You're with institutional momentum — let it run Educational Value — Learning Machine Intelligence BZ-CAE is designed as a learning platform, not just a tool: Advisory Mode as Teacher Most indicators are binary: signal or no signal. You don't learn WHY certain setups are better. BZ-CAE's Advisory mode shows you EVERY potential divergence, then annotates the ones that would be blocked in Filtering mode with specific reasons: "Bull: strong downtrend (TCS=0.87)" teaches you that TCS >0.85 makes counter-trend very risky "Adversarial bearish" teaches you that the opposing case was dominating "Low confidence 32%" teaches you that the setup lacked quality across multiple factors "Bull spacing: wait 8 bars" teaches you that signals need breathing room After 50-100 signals in Advisory mode, you internalize the CAE's decision logic. You start seeing these factors yourself BEFORE the indicator does. Dashboard Transparency Most "intelligent" indicators are black boxes — you don't know how they make decisions. BZ-CAE shows you ALL metrics in real-time: TCS tells you trend strength DMA tells you momentum alignment Exhaustion tells you overextension Adversarial shows both sides of the debate Confidence shows composite quality You learn to interpret market state holistically, a skill applicable to ANY trading system beyond this indicator. Divergence Quality Education Not all divergences are equal. BZ-CAE teaches you which conditions produce high-probability setups: Quality divergence : Regular bullish div at a low, TCS <0.50 (weak trend), exhaustion >0.75 (overextended), positive adversarial differential, confidence >0.70 Low-quality divergence : Regular bearish div at a high, TCS >0.85 (strong uptrend), exhaustion <0.30 (not overextended), negative adversarial differential, confidence <0.40 After using the system, you can evaluate divergences manually with similar intelligence. Risk Management Discipline Confidence-based position sizing teaches you to adjust risk based on setup quality, not emotions: Beginners often size all trades identically Or worse, size UP on marginal setups to "make up" for losses BZ-CAE forces systematic sizing: premium setups get larger size, marginal setups get smaller size This creates a probabilistic approach where your edge compounds over time. What This Indicator Is NOT Complete transparency about limitations and positioning: Not a Prediction System BZ-CAE does not predict future prices. It identifies structural divergences (price-momentum disagreements) and assesses current market state (trend, exhaustion, adversarial conditions). It tells you WHEN conditions favor a potential reversal or continuation, not WHAT WILL HAPPEN. Markets are probabilistic. Even premium-confidence setups fail ~30-40% of the time. The system improves your probability distribution over many trades — it doesn't eliminate risk. Not Fully Automated This is a decision support tool, not a trading robot. You must: Execute trades manually based on signals Manage positions (stops, targets, trailing) Apply discretionary judgment (news events, liquidity, context) Integrate with your broader strategy and risk rules The confidence scores guide position sizing, but YOU determine final risk allocation based on your account size, risk tolerance, and portfolio context. Not Beginner-Friendly BZ-CAE requires understanding of: Divergence trading concepts (regular vs hidden, reversal vs continuation) Market state interpretation (trend vs range, momentum, exhaustion) Basic technical analysis (pivots, support/resistance, EMAs) Risk management fundamentals (position sizing, stops, R:R) This is designed for intermediate to advanced traders willing to invest time learning the system. If you want "buy the arrow" simplicity, this isn't the tool. Not a Holy Grail There is no perfect indicator. BZ-CAE filters noise and improves signal quality significantly, but: Losing trades are inevitable (even at 70% win rate, 30% still fail) Market conditions change rapidly (yesterday's strong trend becomes today's chop) Black swan events occur (fundamentals override technicals) Execution matters (slippage, fees, emotional discipline) The system provides an EDGE, not a guarantee. Your job is to execute that edge consistently with proper risk management over hundreds of trades. Not Financial Advice BZ-CAE is an educational and analytical tool. All trading decisions are your responsibility. Past performance (backtested or live) does not guarantee future results. Only risk capital you can afford to lose. Consult a licensed financial advisor for investment advice specific to your situation. Ideal Market Conditions Best Performance Characteristics Liquid Instruments : Major forex pairs (EUR/USD, GBP/USD, USD/JPY) Large-cap stocks and index ETFs (SPY, QQQ, AAPL, MSFT) High-volume crypto (BTC, ETH) Major commodities (Gold, Oil, Natural Gas) Reasoning: Clean price structure, clear pivots, meaningful oscillator behavior Trending with Consolidations : Markets that trend for 20-40 bars, then consolidate 10-20 bars, repeat Creates divergences at consolidation boundaries (reversals) and within trends (continuations) Both regular and hidden divs find opportunities 5-Minute to Daily Timeframes : Below 5m: too much noise, false pivots, CAE metrics unstable Above daily: too few signals, edge diminishes (fundamentals dominate) Sweet spot: 15m to 4H for most traders Consistent Volume and Participation : Regular trading sessions (not holidays or thin markets) Predictable volatility patterns Avoid instruments with sudden gaps or circuit breakers Challenging Conditions Extremely Low Liquidity : Penny stocks, exotic forex pairs, low-volume crypto Erratic pivots, unreliable oscillator readings CAE metrics can't assess market state properly Very Low Timeframes (1-Minute or Below) : Dominated by market microstructure noise Divergences are everywhere but meaningless CAE filtering helps but still unreliable Extended Sideways Consolidation : 100+ bars of tight range with no clear pivots Oscillator hugs midpoint (45-55 range) No divergences to detect Fundamentally-Driven Gap Markets : Earnings releases, economic data, geopolitical events Price gaps over stops and targets Technical structure breaks down Recommendation: Disable trading around known events Calculation Methodology — Technical Depth For users who want to understand the math: Oscillator Computation Each oscillator type calculates differently, but all normalize to 0-100: RSI : ta.rsi(close, length) — Standard Relative Strength Index Stochastic : ta.stoch(high, low, close, length) — %K calculation CCI : (ta.cci(hlc3, length) + 100) / 2 — Normalized from -100/+100 to 0-100 MFI : ta.mfi(hlc3, length) — Volume-weighted RSI equivalent Williams %R : ta.wpr(length) + 100 — Inverted stochastic adjusted to 0-100 Smoothing: If smoothing > 1, apply ta.sma(oscillator, smoothing) Divergence Detection Algorithm Identify Pivots : Price high pivot: ta.pivothigh(high, lookback, lookforward) Price low pivot: ta.pivotlow(low, lookback, lookforward) Oscillator high pivot: ta.pivothigh(osc, lookback, lookforward) Oscillator low pivot: ta.pivotlow(osc, lookback, lookforward) Store Recent Pivots : Maintain arrays of last 10 pivots with bar indices When new pivot confirmed, unshift to array, pop oldest if >10 Scan for Slope Disagreements : Loop through last 5 pivots For each pair (current pivot, historical pivot): Check if within max_lookback bars Calculate slopes: (current - historical) / bars_between Regular bearish: price_slope > 0, osc_slope < 0, |osc_slope| > min_threshold Regular bullish: price_slope < 0, osc_slope > 0, |osc_slope| > min_threshold Hidden bearish: price_slope < 0, osc_slope > 0, osc_slope > min_threshold Hidden bullish: price_slope > 0, osc_slope < 0, |osc_slope| > min_threshold Important Disclaimers and Terms Performance Disclosure Past performance, whether backtested or live-traded, does not guarantee future results. Markets change. What works today may not work tomorrow. Hypothetical or simulated performance results have inherent limitations and do not represent actual trading. Risk of Loss Trading involves substantial risk of loss. Only trade with risk capital you can afford to lose entirely. The high degree of leverage often available in trading can work against you as well as for you. Leveraged trading may result in losses exceeding your initial deposit. Not Financial Advice BZ-CAE is an educational and analytical tool for technical analysis. It is not financial advice, investment advice, or a recommendation to buy or sell any security or instrument. All trading decisions are your sole responsibility. Consult a licensed financial advisor for advice specific to your circumstances. Technical Indicator Limitations BZ-CAE is a technical analysis tool based on price and volume data. It does not account for: Fundamental analysis (earnings, economic data, financial health) Market sentiment and positioning Geopolitical events and news Liquidity conditions and market microstructure changes Regulatory changes or exchange rules Integrate with broader analysis and strategy. Do not rely solely on technical indicators for trading decisions. Repainting Acknowledgment As disclosed throughout this documentation: Realtime mode may repaint on forming bars before confirmation (by design for preview functionality) Confirmed mode has zero repainting (fully validated pivots only) Choose timing mode appropriate for your use case. Understand the tradeoffs. Testing Recommendation ALWAYS test on demo/paper accounts before committing real capital. Validate the indicator's behavior on your specific instruments and timeframes. Learn the system thoroughly in Advisory mode before using Filtering mode. Learning Resources : In-indicator tooltips (hover over setting names for detailed explanations) This comprehensive publishing statement (save for reference) User guide in script comments (top of code) Final Word — Philosophy of BZ-CAE BZ-CAE is not designed to replace your judgment — it's designed to enhance it. The indicator identifies structural inflection points (bifurcations) where price and momentum disagree. The Cognitive Engine evaluates market state to determine if this disagreement is meaningful or noise. The Adversarial model debates both sides of the trade to catch obvious bad setups. The Confidence system ranks quality so you can choose your risk appetite. But YOU still execute. YOU still manage risk. YOU still learn from outcomes. This is intelligence amplification, not intelligence replacement. Use Advisory mode to learn how expert traders evaluate market state. Use Filtering mode to enforce discipline when emotions run high. Use the dashboard to develop a systematic approach to reading markets. Use confidence scores to size positions probabilistically. The system provides an edge. Your job is to execute that edge with discipline, patience, and proper risk management over hundreds of trades. Markets are probabilistic. No system wins every trade. But a systematic edge + disciplined execution + proper risk management compounds over time. That's the path to consistent profitability. BZ-CAE gives you the edge. The discipline and risk management are on you. Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
Penunjuk Pine Script®
oleh DskyzInvestments
Steff- OBX- DTA OBX – US Open 15-Minute Zone Indicator This indicator highlights the first 15 minutes of the U.S. stock market opening, also known as the OBX (Opening Balance Extension). It is designed specifically for Nasdaq and S&P 500, which open at 09:30 New York time — corresponding to 15:30 Danish time. What this indicator does: • Marks the price range from 09:30–09:45 (U.S. time) as a zone on your chart • Automatically adjusts to your local timezone, so the zone always aligns with Danish time • Extends the zone to the right so you can track how price interacts with OBX throughout the day • Draws all historical OBX zones so you can analyze previous reactions • Rebuilds zones automatically when switching timeframes • Detects breakouts from the zone • Tracks balancing time only after a real breakout occurs • Can automatically remove a zone if price spends a continuous amount of time inside it after the breakout (you set the minutes yourself) • Allows full customization of OBX start time, duration, and behavior • Individual zones can be manually deleted without being redrawn by the indicator Why the OBX matters: The OBX represents one of the most influential time windows in intraday trading because it reflects: • The first injection of liquidity after the U.S. market opens • Institutional positioning and algorithmic adjustments • Early volatility and directional bias • Common zones for reversals, breakouts, or mean reversion • Key high-probability reaction levels used by professional traders This indicator gives you a clear visual representation of when the market reacts to the U.S. open and how price interacts with the opening range throughout the session.
Penunjuk Pine Script®
oleh Mustadtu
15m ORB + FVG Strategy (ChadAnt)Core Logic The indicator's logic revolves around three main phases: 1. Defining the 15-Minute Opening Range (ORB) The script calculates the highest high (rangeHigh) and lowest low (rangeLow) that occurred during the first 15 minutes of the trading day. This time window is defined by the sessionStr input, which defaults to 0930-0945 (exchange time). The high and low of this range are plotted as small gray dots once the session ends (rangeSet = true). 2. Identifying a Fair Value Gap (FVG) Setup After the 15-minute range is set, the indicator waits for a breakout of either the range high or range low. A "Strict FVG breakout" requires two conditions on the first candle that closes beyond the range: The candle before the breakout candle ( bars ago) must have been inside the range. The breakout candle ( bar ago) must have closed outside the range. A Fair Value Gap (FVG) must form on the most recent three candles (the current bar and the two previous bars). Bullish FVG (Long Setup): The low of the current bar (low) is greater than the high of the bar two periods prior (high ). This FVG represents a price inefficiency that the trade expects to fill. Bearish FVG (Short Setup): The high of the current bar (high) is less than the low of the bar two periods prior (low ). If a valid FVG setup occurs, the indicator marks a pending setup and draws a colored box to highlight the FVG area (Green for Bullish FVG, Red for Bearish FVG). 3. Trade Entry and Management If a pending setup is identified, the trade is structured as a re-entry trade into the FVG zone: Entry Price: Set at the outer boundary of the FVG, which is the low of the current bar for a Long setup, or the high of the current bar for a Short setup. Stop Loss (SL): Set at the opposite boundary of the FVG, which is the low for a Long setup, or the high for a Short setup. The trade is triggered (tradeActive = true) once the price retraces to the pendingEntry level. Risk/Reward (RR) Targets: Three Take Profit (TP) levels are calculated based on the distance between the Entry and Stop Loss: $$\text{Risk} = | \text{Entry} - \text{SL} |$$ $$\text{TP}n = \text{Entry} \pm (\text{Risk} \times \text{RR}n)$$ where $n$ is 1, 2, or 3, corresponding to the input $\text{RR}1$, $\text{RR}2$, and $\text{RR}3$ values (defaults: 1.0, 1.5, and 2.0). Trade Lines: Upon triggering, lines for the Entry, Stop Loss, and three Take Profit levels are drawn on the chart for a specified length (lineLength). A crucial feature is the directional lock (highBroken / lowBroken): If the price breaks a range level (e.g., simpleBrokeHigh) but without a valid FVG setup, the corresponding directional flag (e.g., highBroken) is set to true permanently for the day. This prevents the indicator from looking for any subsequent trade setups in that direction for the rest of the day, suggesting that the initial move, without an FVG, exhausted the opportunity. Open-source script In true TradingView spirit, the creator of this script has made it open-source, so that traders can review and verify its functionality. Kudos to the author! While you can use it for free, remember that republishing the code is subject to our House Rules. ChadAnt Disclaimer The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied
Strategi Pine Script®
oleh ChadAnt
15m ORB + FVG (ChadAnt)Core Logic The indicator's logic revolves around three main phases: 1. Defining the 15-Minute Opening Range (ORB) The script calculates the highest high (rangeHigh) and lowest low (rangeLow) that occurred during the first 15 minutes of the trading day. This time window is defined by the sessionStr input, which defaults to 0930-0945 (exchange time). The high and low of this range are plotted as small gray dots once the session ends (rangeSet = true). 2. Identifying a Fair Value Gap (FVG) Setup After the 15-minute range is set, the indicator waits for a breakout of either the range high or range low. A "Strict FVG breakout" requires two conditions on the first candle that closes beyond the range: The candle before the breakout candle ( bars ago) must have been inside the range. The breakout candle ( bar ago) must have closed outside the range. A Fair Value Gap (FVG) must form on the most recent three candles (the current bar and the two previous bars). Bullish FVG (Long Setup): The low of the current bar (low) is greater than the high of the bar two periods prior (high ). This FVG represents a price inefficiency that the trade expects to fill. Bearish FVG (Short Setup): The high of the current bar (high) is less than the low of the bar two periods prior (low ). If a valid FVG setup occurs, the indicator marks a pending setup and draws a colored box to highlight the FVG area (Green for Bullish FVG, Red for Bearish FVG). 3. Trade Entry and Management If a pending setup is identified, the trade is structured as a re-entry trade into the FVG zone: Entry Price: Set at the outer boundary of the FVG, which is the low of the current bar for a Long setup, or the high of the current bar for a Short setup. Stop Loss (SL): Set at the opposite boundary of the FVG, which is the low for a Long setup, or the high for a Short setup. The trade is triggered (tradeActive = true) once the price retraces to the pendingEntry level. Risk/Reward (RR) Targets: Three Take Profit (TP) levels are calculated based on the distance between the Entry and Stop Loss: $$\text{Risk} = | \text{Entry} - \text{SL} |$$ $$\text{TP}n = \text{Entry} \pm (\text{Risk} \times \text{RR}n)$$ where $n$ is 1, 2, or 3, corresponding to the input $\text{RR}1$, $\text{RR}2$, and $\text{RR}3$ values (defaults: 1.0, 1.5, and 2.0). Trade Lines: Upon triggering, lines for the Entry, Stop Loss, and three Take Profit levels are drawn on the chart for a specified length (lineLength). A crucial feature is the directional lock (highBroken / lowBroken): If the price breaks a range level (e.g., simpleBrokeHigh) but without a valid FVG setup, the corresponding directional flag (e.g., highBroken) is set to true permanently for the day. This prevents the indicator from looking for any subsequent trade setups in that direction for the rest of the day, suggesting that the initial move, without an FVG, exhausted the opportunity.
Penunjuk Pine Script®
oleh ChadAnt
Top-Down Analysis - Multi-Timeframe AlignmentThis indicator implements a Top-Down Multi-Timeframe Trading Analysis System. Here's what it does: Core Functionality 1. Multi-Timeframe Bias Detection Monitors three timeframes: Daily, 4-Hour, and 1-Hour Determines if each timeframe is bullish, bearish, or neutral based on two EMAs (9 and 21 period by default) A timeframe is bullish when: Fast EMA > Slow EMA AND price is above Fast EMA A timeframe is bearish when: Fast EMA < Slow EMA AND price is below Fast EMA 2. Alignment Tier System Tier 1 (Full Alignment): All three timeframes agree (Daily = 4H = 1H direction) Tier 2 (Partial Alignment): Daily and 1H agree, but 4H differs No Alignment: Timeframes disagree 3. Previous Day Support & Resistance Levels Automatically plots key levels from the previous day: Previous Day High (PDH) - resistance Previous Day Low (PDL) - support Previous Day Close (PDC) Previous Day Midpoint (PDM) 4. Execution Zone (15-Minute Window) Highlights the first 15 minutes after each new 4H candle opens This is the optimal entry window when alignment conditions are met 5. Pattern Recognition Detects trading setups: Double tops/bottoms Long wicks at support/resistance Bullish/bearish closes aligned with bias 6. Trade Signals Generates entry signals when: There's Tier 1 or Tier 2 alignment Price is in the 15-minute execution zone A valid pattern forms (double top/bottom or wick rejection) 7. Visual Dashboard Shows a real-time table with: Each timeframe's current bias Alignment status Next 4H prediction Whether price is at a key support/resistance level Trading Strategy The indicator helps traders follow the principle of "trade with the higher timeframe trend" by only taking trades when multiple timeframes agree, focusing entries during specific windows, and respecting previous day's key price levels as potential reaction zones.
Penunjuk Pine Script®
oleh traekiw
Luxy Sector & Industry RS AnalyzerEver wonder why some stocks soar while others in the same sector barely move? Or why your perfectly timed entry still loses money? Possibly the answer can be found in Relative Strength. The Luxy Sector & Industry RS Analyzer solves a critical problem that most traders overlook: picking strong stocks in strong sectors AND strong industries . It's not enough for a stock to go up - you want stocks that are crushing their competition at both the sector AND industry level. This indicator does the heavy lifting by automatically comparing your stock against its sector ETF, industry ETF, the broader market, sector leader, and industry leader, giving you a complete multi-level picture of relative performance. What makes this different? - Automatic sector AND industry detection - no manual setup required - Multi-level hierarchy analysis: Market → Sector → Industry → Stock - Multi-timeframe analysis (1 month to 1 year) in one glance - Industry ETF mapping (30+ industries covered) - Clear 0-100 scoring system with letter grades (A+ to F) - Works on stocks, crypto, forex, and commodities - Real-time updates with anti-repaint protection Think of it as your performance dashboard - instantly showing you if you're trading a champion or a laggard at every level of the market hierarchy. METHODOLOGY & ATTRIBUTION This indicator is based on classical Relative Strength (RS) analysis principles from technical analysis. RS methodology compares an asset's price performance against a benchmark to identify relative outperformance or underperformance. This concept has been used by professional traders and institutions for decades. Key Concepts Used: Relative Strength (RS) - Classical technical analysis concept measuring comparative performance Multi-Level Hierarchy Analysis - Market → Sector → Industry → Stock comparison Sector Rotation Analysis - Identifying which sectors are leading or lagging the market Industry Rotation Analysis - Identifying which industries are leading within their sectors Multi-period Performance Analysis - Evaluating strength across multiple timeframes Beta Calculation - Standard statistical measure of volatility relative to a benchmark DISCLAIMER: This indicator is for educational and informational purposes only. It should not be considered financial advice or a recommendation to buy or sell. Past performance does not guarantee future results. Trading involves risk and may not be suitable for all investors. Always do your own research and consult with a financial advisor before making investment decisions. with all rows visible - capture when stock has strong RS score (70+) so users can see what a "good" setup looks like] WHAT THE INDICATOR SHOWS 1. AUTOMATIC ASSET TYPE DETECTION The indicator automatically identifies what you're analyzing and adjusts accordingly: Stocks - Compares to sector ETF (XLK, XLF, XLV, etc.) and SPY Crypto - Compares to Total Crypto Market Cap and Bitcoin Forex - Compares to relevant currency index (DXY, EXY, etc.) Commodities - Compares to Gold (GLD) as benchmark Indices - Compares to broader market indices How it works: The indicator reads your chart's asset type and ticker, then automatically maps it to the correct sector or benchmark. For stocks, it uses intelligent sector detection (looking at the sector field) to match you with the right sector ETF. For example: - Technology stocks get compared to XLK (Technology Select Sector SPDR) - Financial stocks get compared to XLF (Financial Select Sector SPDR) - Healthcare stocks get compared to XLV (Health Care Select Sector SPDR) This happens instantly when you add the indicator to any chart - no configuration needed. 2. SECTOR & MARKET BENCHMARKS What is a Sector ETF? A sector ETF is an exchange-traded fund that tracks a specific industry group. For example, XLK contains all major technology companies. By comparing your stock to its sector ETF, you can see if your stock is outperforming or underperforming its peers. The indicator shows three key comparison points: Stock vs Sector (Benchmark) This tells you how your stock performs compared to companies in the same industry. Positive numbers mean your stock is beating the sector average. Negative numbers mean it's lagging behind. Stock vs Market (SPY) This shows performance against the broader S&P 500 index. This is important because even if a stock beats its sector, the entire sector might be weak. You want stocks that beat both their sector AND the market. Sector vs Market This reveals "sector rotation" - whether money is flowing into or out of this sector. When this number is positive, the whole sector is hot and leading the market. This is powerful because strong sectors tend to lift all boats, making it easier to find winners. 3. MULTI-PERIOD PERFORMANCE ANALYSIS The indicator calculates performance across four timeframes simultaneously: 1 Month (1M) - Recent short-term momentum 3 Months (3M) - Medium-term trend strength 6 Months (6M) - Longer-term positioning 1 Year (1Y) - Full-cycle performance view Why multiple periods matter: A stock might look great over 1 month but terrible over 6 months - that's a red flag. The best stocks show consistent strength across all timeframes . When you see positive RS (Relative Strength) values across all four periods, you've found a stock with sustained outperformance. Each row in the table shows: - Raw performance percentage for that period - RS value (the difference compared to benchmark) - Color coding: Green for positive, red for negative, white for neutral 4. SECTOR LEADER COMPARISON The indicator automatically identifies and compares your stock to the sector leader - the dominant stock in that industry. Sector leaders by industry: Technology: Apple (AAPL) Healthcare: UnitedHealth (UNH) Financial: JPMorgan Chase (JPM) Energy: ExxonMobil (XOM) Consumer Discretionary: Amazon (AMZN) Consumer Staples: Walmart (WMT) And more... Why this matters: Comparing to the leader shows you if you're trading a champion or a follower. If your stock consistently beats the sector leader, you've found something special. If it's lagging the leader, you might want to trade the leader instead. Optional Custom Leader: You can override the automatic leader and compare to any stock you choose. This is useful if you want to benchmark against a specific competitor or reference stock. NEW! INDUSTRY ANALYSIS (STOCKS ONLY) The indicator now provides multi-level analysis by automatically detecting and comparing your stock to its specific industry , not just the broad sector. Why Industry matters: Technology sector (XLK) contains many different industries: Software, Semiconductors, Hardware, etc. A software stock might beat the broad tech sector but lag behind other software companies. Industry analysis provides this granular view. Industry ETF Mapping (30+ industries): Software/Applications: IGV (iShares Software ETF) Semiconductors: SMH (VanEck Semiconductor ETF) Biotech: IBB (iShares Biotechnology ETF) Pharmaceuticals: XPH (SPDR Pharmaceuticals ETF) Banks: KBE (SPDR S&P Bank ETF) Regional Banks: KRE (SPDR Regional Banking ETF) Oil & Gas Exploration: XOP (SPDR Oil & Gas Exploration ETF) Homebuilders: XHB (SPDR Homebuilders ETF) Retail: XRT (SPDR S&P Retail ETF) Aerospace & Defense: ITA (iShares U.S. Aerospace & Defense ETF) And many more... Industry Leader Mapping: The indicator also identifies the leader within each industry: Software: Microsoft (MSFT) Semiconductors: NVIDIA (NVDA) Biotech: Amgen (AMGN) Pharmaceuticals: Eli Lilly (LLY) Banks: JPMorgan (JPM) Oil Exploration: ConocoPhillips (COP) And more... New Table Rows for Stocks: Industry ETF Performance - How the specific industry performed (green background) Industry Leader Performance - How the top stock in the industry performed vs Industry RS - Your stock's outperformance vs its industry ETF Industry vs Sector RS - Is this industry hot or cold within its sector? vs Industry Leader RS - Your stock's performance vs the industry's best Why this is powerful: A stock that beats both its sector AND its industry is showing strength at every level. This indicates true relative strength, not just riding sector-wide momentum. Optional Custom Industry: You can override automatic detection for both Industry ETF and Industry Leader in settings. 5. RS SCORE & GRADING SYSTEM (0-100) The heart of the indicator is the RS Score - a weighted calculation that distills all the performance data into one clear number from 0 to 100. How the score is calculated: FOR STOCKS (with Industry data): The indicator splits the weight between Sector (60%) and Industry (40%): SECTOR RS (60% of total weight): 1 Month RS: 24% weight (40% × 0.6) 3 Month RS: 18% weight (30% × 0.6) 6 Month RS: 12% weight (20% × 0.6) 1 Year RS: 6% weight (10% × 0.6) INDUSTRY RS (40% of total weight): 1 Month RS: 16% weight (40% × 0.4) 3 Month RS: 12% weight (30% × 0.4) 6 Month RS: 8% weight (20% × 0.4) 1 Year RS: 4% weight (10% × 0.4) FOR OTHER ASSETS (Crypto, Forex, Commodities): Uses full 100% weight on benchmark: 1 Month RS: 40% weight 3 Month RS: 30% weight 6 Month RS: 20% weight 1 Year RS: 10% weight It starts at 50 (neutral) and adds or subtracts points based on your asset's relative strength in each period. Bonus points: +5 points if the sector is outperforming the market (sector rotation is bullish) +5 points if the industry is outperforming its sector (hot industry) - STOCKS ONLY +5 points if RS momentum is improving (getting stronger over time) -5 points if RS momentum is declining (getting weaker) The final score is capped between 0-100. Letter Grade System: 90-100: A+ - Elite performer, crushing the sector 85-89: A - Excellent, strong outperformer 80-84: A- - Very good, above average 75-79: B+ - Good, solid performer 70-74: B - Above average, decent strength 65-69: B- - Slightly above average 60-64: C+ - Average, neutral strength 55-59: C - Below average 50-54: C- - Weak, slight underperformance 45-49: D+ - Concerning weakness 40-44: D - Poor, significant underperformance 0-39: F - Failing, avoid this stock What scores mean for trading: - RS Score above 70: Strong stocks worth considering for long positions - RS Score 50-70: Average stocks, better opportunities elsewhere - RS Score below 50: Weak stocks, avoid or consider for shorts 6. CONSISTENCY SCORE This metric shows what percentage of time periods show positive RS . For STOCKS (with Industry data): Counts both Sector RS periods AND Industry RS periods (up to 8 total periods): - If a stock beats both sector and industry in all 4 periods each: Consistency = 100% (8/8) - If it beats in 6 out of 8 total periods: Consistency = 75% - If it beats in 4 out of 8 total periods: Consistency = 50% For OTHER ASSETS: Counts benchmark periods only (4 total): - If it beats benchmark in all 4 periods (1M, 3M, 6M, 1Y): Consistency = 100% - If it beats in 3 out of 4 periods: Consistency = 75% - If it beats in 2 out of 4 periods: Consistency = 50% Why consistency matters: A high RS Score with low consistency might indicate a recent spike that could fade. The best stocks show both high RS Score AND high consistency - they're strong now AND have been strong historically at both the sector AND industry level. Look for stocks with: Consistency above 75%: Very reliable strength across all levels Consistency 50-75%: Decent but check other metrics Consistency below 50%: Weak or erratic, proceed with caution 7. BETA CALCULATION (Volatility Measure) Beta measures how much more volatile your stock is compared to its sector. Beta > 1.2 : High volatility - stock moves more aggressively than sector (marked as "High") Beta 0.8-1.2 : Normal volatility - moves roughly in line with sector Beta < 0.8 : Low volatility - stock is more stable than sector (marked as "Low") Formula used: Beta = Correlation(Stock, Sector) × (Standard Deviation of Stock / Standard Deviation of Sector) This uses a 20-period calculation for reliability. How to use Beta: - High Beta stocks offer bigger gains but also bigger risks - good for aggressive traders - Low Beta stocks are more defensive - good for conservative positions - Match Beta to your risk tolerance and strategy 8. DAYS ABOVE/BELOW SECTOR This tracks consecutive periods (bars) where your stock outperforms or underperforms its sector. Days Above Sector: Counts how many bars in a row your stock has beaten the sector. 10+ days: Strong sustained strength (shown in bright green) 5-9 days: Building momentum (shown in yellow) 1-4 days: Early strength (shown in white) 0 days: Not currently outperforming Days Below Sector: Counts how many bars in a row your stock has lagged the sector. 10+ days: Sustained weakness (shown in bright red) 5-9 days: Losing momentum (shown in orange) 1-4 days: Minor weakness (shown in white) 0 days: Not underperforming (this is good!) Why this matters: Long streaks show trend persistence. A stock with 15+ days above sector is riding strong momentum. A stock with 15+ days below sector is in a sustained downtrend relative to peers. 9. PRICE VS 52-WEEK HIGH Shows where current price sits relative to its 52-week high (or equivalent for your timeframe). 95%+ (green) : Stock is near all-time highs - strong positioning 80-94% (yellow) : Stock is in a pullback but still relatively strong Below 80% : Stock has pulled back significantly from highs Why this matters: The strongest stocks stay near their highs. When you see a stock with high RS Score AND price near 52W high, you've found a stock with institutional support and strong buying pressure. 10. RELATIVE VOLUME Compares current volume to the 20-period average volume. 1.5x+ (green) : High volume - significant interest and participation Around 1.0x : Average volume - normal trading activity Below 1.0x : Low volume - less interest or inactive period Why volume matters: High relative volume confirms price moves. When a stock makes a strong move on 2x or 3x normal volume, it's more likely to sustain. Low volume moves are often just noise. 11. AVERAGE RS STRENGTH This calculates the average absolute value of all RS readings across the four timeframes. It shows the magnitude of divergence from the sector, regardless of direction. A high number means the stock moves very differently from its sector (could be much stronger or much weaker). A low number means it tracks closely with the sector. High Average RS: Stock has strong character, moves independently Low Average RS: Stock follows sector closely, lacks individual strength 12. SECTOR ROTATION SIGNAL This indicator automatically detects when a sector is experiencing bullish rotation - meaning money is flowing into the sector and it's outperforming the broader market. Condition for bullish rotation: Sector must be beating SPY (market) in both 1-month AND 3-month periods. Why this matters: Stocks in hot sectors tend to perform better because they have tailwinds from sector-wide buying. When sector rotation is bullish and your stock has a high RS Score, you've found an ideal setup. The indicator adds +5 bonus points to the RS Score when sector rotation is bullish. 13. MOMENTUM DETECTION The indicator compares 1-month RS to 3-month RS to detect if momentum is improving or declining. RS Momentum Improving: 1M RS is better than 3M RS - stock is getting stronger (adds +5 to score) RS Momentum Declining: 1M RS is worse than 3M RS - stock is getting weaker (subtracts -5 from score) Why momentum matters: You want to catch stocks as momentum is building, not after it's already peaked. Improving momentum suggests the strength is accelerating, not fading. 14. OVERALL ASSESSMENT & RECOMMENDATION The indicator provides two quick summary rows: Overall Rating: Based on grade and RS Score, you get an instant quality rating: Strong Leader (A/A+) - Top tier stock, crushing it Above Average (A-/B+) - Solid performer, better than most Average (B/B-) - Middle of the pack Below Average (C/C+) - Struggling, watch carefully Underperformer (D/F) - Weak stock, underperforming badly Trading Signal: Combines multiple factors to give setup quality: STRONG BUY SETUP - RS Score 70+, Consistency 75+, AND sector rotation bullish. This is the perfect storm - strong stock, consistent strength, hot sector. BULLISH - RS Score 60+, Consistency 50+. Good quality stock worth considering. NEUTRAL - RS Score 50+. Okay but not exciting, better opportunities exist. WEAK - RS Score 40-49. Below average, risky. AVOID - RS Score below 40. Stay away, too weak. IMPORTANT: These are educational signals only, not financial advice. Always do your own analysis and risk management. KEY FEATURES 1. AUTOMATIC EVERYTHING - Auto-detects asset type (stock, crypto, forex, commodity, index) - Auto-maps stocks to correct sector ETF (11 sectors covered) - Auto-maps stocks to correct industry ETF (30+ industries covered) - Auto-identifies sector leader AND industry leader - Auto-selects appropriate market benchmark - Zero configuration required - just add to chart 2. MULTI-ASSET SUPPORT Works on all asset classes: US Stocks - Compares to sector ETFs (XLK, XLF, XLV, etc.) Crypto - Compares to Total Crypto Market Cap Forex - Compares to currency indices (DXY, EXY, etc.) Commodities - Compares to Gold (GLD) Indices - Compares to broader market benchmarks 3. FLEXIBLE DISPLAY 9 table positions (top/middle/bottom, left/center/right) 4 size options (tiny, small, normal, large) Show/hide table completely Real-time indicator toggle 4. TIMEFRAME FLEXIBILITY Choose your analysis timeframe: Chart Timeframe (default) - Uses whatever timeframe your chart is on Fixed: 1 Hour, 4 Hours, Daily, Weekly - Forces calculations to specific timeframe This means you can be on a 5-minute chart but analyze RS on Daily timeframe if you prefer. 5. RS SCORE FILTERING Set a minimum RS Score threshold to only see strong stocks: Set to 0 - Shows all stocks Set to 70 - Only displays stocks with RS Score 70+ (strong stocks only) Warning message displays if stock doesn't meet threshold Perfect for screening - quickly scan multiple charts and the indicator only shows tables for stocks that pass your quality filter. 6. CUSTOM LEADER COMPARISON Override automatic leader detection: Compare to any ticker you choose Benchmark against specific competitors Use your own reference stocks 7. COMPREHENSIVE TOOLTIPS Every input parameter and every table row has detailed tooltips explaining: What the metric measures How to interpret the values What thresholds indicate strength/weakness Why it matters for trading Hover over any element to learn - it's like having a trading coach built in. 8. SMART ALERTS Built-in alert system for key events: Divergence Alerts: Get notified when your stock diverges significantly from its sector. Bullish Divergence: Stock beating sector by threshold percentage Bearish Divergence: Stock losing to sector by threshold percentage Set your threshold (default 5%) - this determines how big a divergence triggers the alert. RS Score Alerts: Get notified when RS Score crosses your threshold: Crossed Above: RS Score went from below to above your threshold (bullish) Crossed Below: RS Score dropped from above to below threshold (bearish) Set your threshold (default 70) to focus on strong stocks. Sector Rotation Alert: Fires when sector shows bullish rotation (outperforming market). HOW TO USE THE INDICATOR FOR SWING TRADERS: 1. Add indicator to your watchlist stocks 2. Look for RS Score 70+ with Consistency 75%+ 3. Check if sector rotation is bullish (bonus!) 4. Verify price is near 52W high (95%+) 5. Wait for entry setup on your chart 6. Use stop loss below key support Example Setup: Stock shows: - RS Score: 82 (Grade: A-) - Consistency: 100% (strong across all periods) - Sector Rotation: Bullish - Price vs 52W High: 96% - Days Above Sector: 12 days - Relative Volume: 1.8x This is a textbook strong stock in a hot sector near highs - ideal for swing long. FOR POSITION TRADERS: 1. Focus on 6-month and 1-year RS values 2. Look for sustained outperformance (Consistency 75%+) 3. Prefer lower Beta stocks (less volatility) 4. Check Days Above Sector for trend persistence 5. Monitor RS Score monthly, exit if drops below 60 FOR ACTIVE TRADERS: 1. Use on intraday timeframes (1H or 4H) 2. Set RS Score filter to 60+ for quick screening 3. Enable Divergence Alerts 4. Watch for momentum improving signal 5. Higher Beta stocks offer more movement FOR SHORT SELLERS: 1. Look for RS Score below 40 (Grade: D or F) 2. Check for declining momentum 3. Verify Days Below Sector is increasing (10+) 4. Sector rotation should be bearish 5. Price should be well off 52W high WHAT MAKES A PERFECT SETUP: The holy grail combination: RS Score: 75+ (A- or better) Consistency: 80%+ (strong across time - beats sector AND industry) Sector Rotation: Bullish (hot sector) Industry vs Sector: Positive (hot industry within sector) Days Above Sector: 10+ (sustained strength) Momentum: Improving (getting stronger) Price vs 52W High: 90%+ (near highs) Relative Volume: 1.5x+ (volume confirmation) When you find this combination, you've located a stock with every advantage in its favor - strong at the stock level, industry level, AND sector level. That's multi-level confirmation of relative strength. IMPORTANT NOTES Data Reliability: All calculations use lookahead=off for anti-repaint protection Historical values will never change Real-time indicator toggle only affects the visual clock icon, not data reliability All security requests are properly configured to prevent future data leakage Sector Mapping Notes: Sector detection uses TradingView's sector field Some stocks may not have sector data - indicator will adapt Sector ETFs used: XLK, XLF, XLV, XLE, XLY, XLP, XLI, XLB, XLRE, XLU, XLC Major market ETFs (SPY, QQQ, DIA) are treated as market benchmarks, not stocks Multi-Asset Notes: Crypto compares to CRYPTOCAP:TOTAL (total crypto market cap) Forex compares to relevant currency index based on base currency Commodities compare to Gold (GLD) as primary commodity benchmark Custom leaders can be set for any asset type FREQUENTLY ASKED QUESTIONS Q: What does RS Score of 75 actually mean? A: It means your stock is strongly outperforming its sector across multiple timeframes. The score is weighted toward recent performance (1-month gets 40% weight), so 75 indicates sustained relative strength with emphasis on current momentum. Q: My stock has high RS Score but is going down. Why? A: RS Score measures relative performance (vs sector/market), not absolute price direction. A stock can fall 5% while its sector falls 10% - that's still positive relative strength. In bear markets or sector corrections, high RS stocks often fall less than peers. Q: Should I only trade stocks with RS Score above 70? A: For long positions, yes - focus on 70+ scores. These stocks have proven they can beat their sector. However, for pairs trading or relative value plays, you might also short stocks with scores below 40 while longing stocks above 70. Q: What if my stock doesn't have a sector? A: The indicator handles this gracefully. If no sector is detected, it will compare directly to the market (SPY for stocks). Some rows may show N/A, but the indicator will still provide useful market-relative data. Q: Why does the sector sometimes show N/A? A: This happens when: 1) Your asset has no sector classification, 2) The stock IS the sector ETF itself, 3) You're analyzing a non-stock asset (crypto, forex, commodity). The indicator adapts by focusing on market-relative metrics instead. Q: Can I use this on cryptocurrencies? A: Yes! The indicator automatically detects crypto and compares to the Total Crypto Market Cap (CRYPTOCAP:TOTAL). You can also set a custom leader like Bitcoin (BTCUSD) to compare against the dominant crypto. Q: What's the difference between RS Score and Consistency? A: RS Score is the weighted average of how much you're beating the sector (magnitude). Consistency is what percentage of time periods show outperformance (reliability). You want both high - that means strong AND consistent. Q: Do the alerts repaint? A: No. All alerts fire only on bar close (barstate.isconfirmed) and use properly configured data with lookahead=off. Once an alert fires, it's final and won't change. Q: What timeframe should I use? A: For swing trading: Daily or Weekly. For day trading: 1H or 4H. For position trading: Weekly. Use "Chart Timeframe" mode and switch your chart timeframe to change the analysis period easily. Q: Why is Days Above Sector showing 0? A: This means your stock is not currently outperforming its sector. If Days Below Sector is also 0, it means the RS is exactly neutral (very rare). Check the actual RS values to see current standing. Q: Can I compare to a different market benchmark than SPY? A: Currently the indicator uses SPY (S&P 500) as the default US stock market benchmark. For crypto it uses CRYPTOCAP:TOTAL, for forex it uses currency indices, etc. The benchmark auto-adjusts based on asset type. Q: What's a good Beta value? A: It depends on your strategy. Aggressive traders prefer Beta above 1.2 (more volatility = bigger moves). Conservative traders prefer Beta 0.8-1.0 (more stable). Beta is neutral - it's about matching your risk tolerance. Q: How often does the table update? A: With Real-time Indicator enabled: Every tick (constant updates). With it disabled: Only on bar close. Either way, the underlying data is identical and non-repainting - the toggle only affects update frequency and the clock icon display. Q: My stock is showing "AVOID" but it's up 50% this year. Is the indicator wrong? A: Not necessarily. The indicator measures RELATIVE performance. If your stock is up 50% but the sector is up 100%, your stock is actually underperforming by 50%. The indicator helps you identify when you should switch to stronger stocks in the same sector. Q: What does "Strong Buy Setup" really mean? A: It means three things aligned: 1) RS Score above 70 (strong stock), 2) Consistency above 75% (reliable strength), 3) Sector rotation is bullish (hot sector). This combination historically correlates with stocks that continue outperforming. However, this is NOT financial advice - always do your own analysis. Q: Can I use this for options trading? A: Yes! High RS Score stocks make good candidates for call options (bullish bets) while low RS Score stocks may work for puts (bearish bets). Higher Beta stocks will have more volatile options (higher premiums but more movement). Q: Why is my crypto showing N/A for sector? A: Cryptocurrencies don't have "sectors" like stocks do. Instead, the indicator compares crypto to the total crypto market cap. This is normal and expected behavior. Q: What happens if I'm analyzing an ETF? A: If you're analyzing a sector ETF (like XLK), it will compare to SPY (market). If you're analyzing SPY itself, some comparisons won't be available (can't compare SPY to itself). The indicator intelligently adapts to avoid circular comparisons. Q: What if my stock doesn't have industry data? A: Not all stocks are mapped to specific industries (only 30+ major industries are covered). If no industry is detected, the indicator will still work using only sector analysis. The RS Score calculation will use 100% sector weight instead of the 60%/40% split. Q: Why does Industry vs Sector matter? A: Industry vs Sector shows if your specific industry is hot or cold within its broader sector. For example, Semiconductors (SMH) might be outperforming Technology sector (XLK) even though both are up. This helps you find not just strong sectors, but the strongest industries within those sectors. Q: Can I disable Industry analysis? A: Yes! In the "Industry Analysis" settings group, you can toggle off "Show Industry Analysis in Table" to hide all industry rows. However, even when hidden, industry data still contributes to the RS Score calculation for stocks. Q: Why is my Consistency Score lower for stocks than other assets? A: For stocks with industry data, Consistency counts 8 periods (4 Sector + 4 Industry periods) instead of just 4. This means the bar is higher - your stock needs to beat both sector AND industry consistently. A stock that beats sector in all 4 periods but lags industry in 2 periods will show 75% consistency (6/8), not 100%. BEST PRACTICES Use as a screening tool - Set RS Score filter to 70+ and quickly scan your watchlist. Only strong stocks will show the table. Combine with technical analysis - RS Score tells you WHAT to trade, your chart tells you WHEN to enter. Check multiple timeframes - Switch between Daily and Weekly to see if strength holds across different time horizons. Monitor sector rotation - When sector goes from bearish to bullish rotation, it's often a great time to enter stocks in that sector. Watch Industry vs Sector - Stocks in hot industries within hot sectors have double tailwinds. Prioritize Industry vs Sector positive values. Pay attention to consistency - High RS Score with low consistency might be a spike that fades. Look for 70%+ consistency across BOTH sector and industry. Use the leader comparison - If your stock consistently beats both sector leader AND industry leader, you may have found the next champion. Watch days above/below sector - Long streaks (15+ days) indicate strong trends. Look for these in conjunction with high RS Score. Set alerts on key stocks - Enable RS Score alerts at 70 threshold to get notified when watchlist stocks become strong. Consider Beta for position sizing - Size smaller positions in high Beta stocks, larger in low Beta stocks for balanced risk. Exit when RS Score drops - If a stock's RS Score falls below 60, consider reducing or exiting - the strength may be fading. Leverage industry-level insight - If Industry ETF is weak but stock is strong, that's standout strength. If Industry is hot but stock is lagging, consider switching to the industry leader instead. SETTINGS EXPLAINED Display Settings: Show Performance Table - Master on/off switch for the table Table Position - 9 positions available (corners, edges, center) Table Size - 4 sizes (tiny, small, normal, large) for different screen sizes Timeframe Settings: Chart Timeframe (recommended) - Dynamic, uses whatever chart TF you're on Fixed Timeframes - Locks analysis to 1H, 4H, Daily, or Weekly regardless of chart Filtering Settings: Minimum RS Score - Set threshold (0-100) for displaying table Show Warning - When enabled, displays message if stock doesn't meet filter Alert Settings: Divergence Alerts - Enable alerts when stock diverges from sector Threshold (%) - How big a divergence triggers alert (default 5%) RS Score Alerts - Enable alerts when RS Score crosses threshold Threshold - What RS Score level triggers alert (default 70) Sector Analysis Settings: Use Custom Sector ETF - Override automatic sector ETF detection Sector ETF Symbol - Enter any sector ETF to compare against Use Custom Sector Leader - Override automatic sector leader detection Sector Leader Symbol - Enter any ticker as sector leader Industry Analysis Settings: Use Custom Industry ETF - Override automatic industry ETF detection Industry ETF Symbol - Enter specific industry ETF (e.g., IGV, SMH) Use Custom Industry Leader - Override automatic industry leader detection Industry Leader Symbol - Enter specific industry leader Show Industry Analysis - Toggle all industry rows on/off Display Settings: Show Real-time Indicator - Toggle clock icon in header (doesn't affect data) WHAT THIS INDICATOR DOESN'T DO To set proper expectations: Does NOT provide entry/exit signals - this is a strength analyzer, not a trading system Does NOT predict future price movement - shows current and historical relative strength Does NOT guarantee profits - strong RS stocks can still decline Does NOT replace your own analysis - use as one tool among many Does NOT work on stocks with no sector data - will adapt but some rows show N/A This indicator is a decision support tool . It helps you identify which stocks are showing relative strength so you can make more informed trading decisions. You still need your own entry strategy, risk management, and position sizing rules. SUPPORT & CONTACT Questions or feedback? Use the comments section below or send me a message. If you find this indicator useful, please give it a boost and share with other traders who might benefit from relative strength analysis. FINAL REMINDER This indicator is a tool for analyzing relative strength - it shows you which stocks are outperforming their sector and market. It does NOT provide financial advice or trade signals. Always conduct your own research, manage your risk appropriately, and consult with a financial advisor before making investment decisions. Past performance of relative strength does not guarantee future results. Strong stocks can become weak, and sectors rotate in and out of favor. Use this indicator as part of a comprehensive trading strategy, not as a standalone decision-making system. Trade smart, manage risk, and may your RS Scores stay high! If you got till here and you like my work a BOOST and a COMMENT would make me happy
Penunjuk Pine Script®
oleh orenluxy
2
Reduced-Lag Chande Momentum Oscillator [BOSWaves]Reduced-Lag Chande Momentum Oscillator – Adaptive Momentum Geometry with Reduced-Latency Reversion Logic Overview The Reduced-Lag Chande Momentum Oscillator represents a sophisticated extension of the classical Chande Momentum Oscillator, preserving the foundational measurement of net directional pressure while addressing inherent limitations in lag, noise, and signal clarity. The traditional CMO provides reliable snapshots of upward versus downward force but reacts slowly to rapid market accelerations and can obscure meaningful momentum inflections with delayed readings. This iteration integrates a dual-stage reduced-lag filter, optional advanced smoothing, and acceleration-based analytics, producing a real-time, multi-dimensional representation of market momentum. The design reframes classical momentum using a layered curvature and gradient structure - main, midline, and shadow - to show trajectory, velocity, and intensity in one view. Instead of the usual ±70/30 extremes, it uses ±50 as a statistically grounded threshold where one side of the market begins exerting true dominance. This captures structural imbalance more reliably, exposing exhaustion and actionable inflection without amplifying noise. This visualization gives traders a continuous, responsive read on market structure, revealing not just direction but rate of change, acceleration alignment, and curvature behavior. The oscillator becomes a momentum map, expressing both probability and intensity behind directional shifts. Where conventional oscillators mislabel short-lived swings as signals, the Reduced-Lag CMO separates baseline shifts from high-conviction transitions, enabling cleaner, more decisive signal interpretation. Theoretical Foundation The classical Chande Momentum Oscillator, created by Tushar Chande, calculates the normalized net difference between consecutive upward and downward price changes over a defined window, generating readings from –100 to +100. While effective for capturing basic directional pressure, the unmodified CMO suffers from signal latency and sensitivity to abrupt market swings, which can obscure actionable inflection points. The Reduced-Lag CMO augments this foundation with three key mechanisms: Reduced-Lag Filtering : A dual-EMA structure eliminates inertial lag, aligning the oscillator curve closely with real-time market momentum without producing overshoot artifacts. Smoothing Architecture : Optional SMA, EMA, or WMA smoothing is applied post-filter, balancing noise reduction with trajectory fidelity. A multi-layer line system (shadow → midline → main) communicates depth, curvature, and gradient dynamics. Acceleration Integration : First and second derivatives of the smoothed curve quantify velocity and acceleration, allowing the indicator to identify not only momentum flips but the force behind each shift, forming the basis for the strong-signal overlay. The combination of these mechanisms produces an oscillator that respects the original CMO framework while delivering real-time, context-sensitive intelligence. The ±50 boundaries are selected as the statistically validated pressure zones where directional dominance exceeds neutral oscillation. Crosses and rejections at these boundaries are not arbitrary overbought/oversold events, but measurable imbalances with actionable significance. How It Works The Reduced-Lag CMO is constructed through a multi-stage process: Momentum Estimation Core : Raw CMO values are calculated and then passed through a reduced-lag filter to remove delay, creating a curve that closely tracks instantaneous directional pressure. Smoothing & Layered Representation : The filtered curve can be smoothed and split into three layers - shadow, midline, and main - giving visual depth, trajectory clarity, and curvature instead of a single-line oscillator. Gradient-Based Pressure Mapping : Color gradients encode momentum strength and polarity. Green-yellow transitions highlight increasing upward dominance, while red-yellow transitions indicate weakening downward force. Pressure-Zone Anchoring (±50) : The system defines statistically significant pressure zones at ±50. Moves beyond these levels reflect dominant directional control, and rejections inside the zone signal potential exhaustion. Signal Generation : Momentum events are evaluated through velocity and acceleration. Standard signals appear as triangle markers indicating validated momentum flips. Strong signals appear as triangles with diamonds when acceleration confirms a high-conviction transition. A cooldown rule spaces signals apart to reduce clutter and emphasize structurally meaningful events. Interpretation The Reduced-Lag CMO reframes momentum as a dynamic equilibrium between directional force and structural pressure: Positive Momentum Phases : Curves above zero with green-yellow gradients indicate sustained upward pressure. Shallow retracements or midline tests denote controlled pullbacks. Negative Momentum Phases : Curves below zero with red-yellow gradients show downward dominance. Rejections from –50 highlight potential exhaustion and reversal readiness. Pressure-Zone Dynamics (±50) : Crosses beyond ±50 confirm dominant directional force. Meanwhile, rejections and rotations inside the zone signal structural fatigue. Velocity & Acceleration Analysis : Rising momentum with decelerating velocity suggests fading force; acceleration alignment amplifies signal strength and forms the basis of strong signals. Signal Architecture The Reduced-Lag CMO produces a single event type with two intensities: a validated momentum inflection. Standard Signals - Triangles: Triggered by momentum flips confirmed by velocity. Represent moderate-intensity directional changes. Appear at zero-line crosses or ±50 rejections with aligned velocity. Strong Signals Triangles + Diamonds: Triggered when acceleration confirms the directional change. Represent high-intensity, high-conviction shifts. Rare by design; indicate robust momentum inflections. Cooldown mechanics prevent repeated signals in short succession, emphasizing structural reliability over noise. Strategy Integration Trend Confirmation : Align zero-line flips with higher-timeframe directional bias. Reversal Detection : Strong signals from ±50 zones highlight potential inflection points. Volatility Assessment : Gradient transitions reveal strengthening or weakening momentum. Pullback Timing : Multi-layer curvature identifies controlled retracements vs trend exhaustion. Confluence Mapping : Pair with structure-based indicators to filter signals in context. Technical Implementation Details Core Engine : Classical CMO with Ehlers reduced-lag extension Lag Reduction : Dual EMA filtering Smoothing : Optional SMA/EMA/WMA post-filter Multi-Layer Curve : Shadow, midline, main Signal System : Two-tier momentum-acceleration framework Pressure Zones : ±50 statistically validated thresholds Cooldown Logic : Bar-indexed suppression Gradient Mapping : Encodes magnitude and direction Alerts : Standard and strong signals Optimal Application Parameters Timeframes: 1 - 5 min : Intraday momentum tracking 15 - 60 min : Trend rotations & volatility transitions 4H - Daily : Macro momentum exhaustion & re-accumulation mapping Suggested Ranges: CMO Length : 7 - 12 Reduced-Lag Length : 5 - 15 Smoothing : 10 - 20 Cooldown Bars : 5 - 15 Performance Characteristics High Effectiveness: Markets with directional pulses & clean pressure transitions Trending phases with measurable pullbacks Instruments with stable volatility cycles Reduced Edge: Choppy consolidations Ultra-low volatility environments Disclaimer The Reduced-Lag Chande Momentum Oscillator is a professional-grade analytical tool. It is not predictive and carries no guaranteed profitability. Effectiveness depends on asset class, volatility regime, parameter selection, and disciplined execution. Any suggested application timeframes or recommended ranges are guidance only - they are not universally optimal and will not deliver consistent accuracy on every asset or market condition. BOSWaves recommends using it in conjunction with structure, liquidity, and momentum context.
Penunjuk Pine Script®
oleh BOSWaves
Sav Fx Dynamic P & D°//@version=5 indicator("Sav Fx Dynamic P & D°", overlay = true, max_boxes_count = 50, max_labels_count = 2, max_lines_count = 10) // Global Settings (visible) customLineColor = input.color(#000000, "True Open", group = "Global Settings") // Input for custom sessionTypeText size and width sessionTypeTextSize = input.string("small", "Session Type Text Size", options= , group="Text Settings") // On/Off switches for each open line show90MinuteCycleOpen = input.bool(true, "90 Minute Cycle Open", group="Open Lines") showTrueNewYorkOpen = input.bool(true, "True New York Open", group="Open Lines") showTrueDayOpen = input.bool(true, "True Day Open", group="Open Lines") showTrueWeekOpen = input.bool(true, "True Week Open", group="Open Lines") showTrueMonthOpen = input.bool(false, "True Month Open", group="Open Lines") IsTime(h, m, timezone) => not na(time) and hour(time, timezone) == h and minute(time, timezone) == m IsSession(sess, timezone) => not na(time(timeframe.period, sess, timezone)) is6_00Session = IsSession("0600-0730", "America/New_York") is7_30Session = IsSession("0730-0900", "America/New_York") is9_00Session = IsSession("0900-1030", "America/New_York") is10_30Session = IsSession("1030-1200", "America/New_York") var MOPLine = line.new(na, na, na, na, color = customLineColor, width = 1, style = line.style_dashed) var MOPLabel = label.new(na, na, text = "True Day Open", color = color.rgb(120, 123, 134, 100), textcolor = customLineColor, size = size.small, style = label.style_label_left) var float trueDayOpen = na if showTrueDayOpen if IsTime(0, 0, "America/New_York") line.set_xy1(MOPLine, bar_index, open) line.set_xy2(MOPLine, bar_index, open) label.set_xy(MOPLabel, bar_index, open) trueDayOpen := open if barstate.islast line.set_x2(MOPLine, bar_index + 20) label.set_x(MOPLabel, bar_index + 20) else line.delete(MOPLine) label.delete(MOPLabel) var NYTrueOpenLine = line.new(na, na, na, na, color = customLineColor, width = 1, style = line.style_dashed) var NYTrueOpenLabel = label.new(na, na, text = "True New York Open", color = color.rgb(105, 130, 218, 100), textcolor = customLineColor, size = size.small, style = label.style_label_left) var float NYTrueOpen = na if showTrueNewYorkOpen if IsTime(1, 30, "America/New_York") or IsTime(7, 30, "America/New_York") or IsTime(13, 30, "America/New_York") line.set_xy1(NYTrueOpenLine, bar_index, open) line.set_xy2(NYTrueOpenLine, bar_index, open) label.set_xy(NYTrueOpenLabel, bar_index, open) NYTrueOpen := open if IsTime(1, 30, "America/New_York") label.set_text(NYTrueOpenLabel, "True London Open") if IsTime(7, 30, "America/New_York") label.set_text(NYTrueOpenLabel, "True New York Open") if IsTime(13, 30, "America/New_York") label.set_text(NYTrueOpenLabel, "True PM Session Open") if barstate.islast line.set_x2(NYTrueOpenLine, bar_index + 20) label.set_x(NYTrueOpenLabel, bar_index + 20) else line.delete(NYTrueOpenLine) label.delete(NYTrueOpenLabel) var lookahead_bars = 20 var MondayLine = line.new(na, na, na, na, color = customLineColor, width = 1, style = line.style_dashed) var MondayLabel = label.new(na, na, text = timeframe.isintraday and timeframe.multiplier >= 5 ? "True week Open" : "", color = #9b27b000, textcolor = customLineColor, size = size.small, style = label.style_label_left) if showTrueWeekOpen if dayofweek == dayofweek.monday and IsTime(18, 0, "America/New_York") line.set_xy1(MondayLine, bar_index, close) line.set_xy2(MondayLine, bar_index, close) label.set_xy(MondayLabel, bar_index, close) if barstate.islast line.set_x2(MondayLine, bar_index + lookahead_bars) label.set_x(MondayLabel, bar_index + lookahead_bars) else line.delete(MondayLine) label.delete(MondayLabel) var ninetyMinuteCycleLine = line.new(na, na, na, na, color = customLineColor, width = 1, style = line.style_dashed) var ninetyMinuteCycleLabel = label.new(na, na, text = "90 Minute Cycle True Open", color = #4caf4f00, textcolor = customLineColor, size = size.small, style = label.style_label_left) if show90MinuteCycleOpen if IsTime(3, 23, "America/New_York") or IsTime(9, 23, "America/New_York") or IsTime(15, 23, "America/New_York") line.set_xy1(ninetyMinuteCycleLine, bar_index, open) line.set_xy2(ninetyMinuteCycleLine, bar_index, open) label.set_xy(ninetyMinuteCycleLabel, bar_index, open) if IsTime(3, 23, "America/New_York") label.set_text(ninetyMinuteCycleLabel, "03:23 Cycle True Open") if IsTime(9, 23, "America/New_York") label.set_text(ninetyMinuteCycleLabel, "09:23 Cycle True Open") if IsTime(15, 23, "America/New_York") label.set_text(ninetyMinuteCycleLabel, "15:23 Cycle True Open") if barstate.islast line.set_x2(ninetyMinuteCycleLine, bar_index + lookahead_bars) label.set_x(ninetyMinuteCycleLabel, bar_index + lookahead_bars) else line.delete(ninetyMinuteCycleLine) label.delete(ninetyMinuteCycleLabel) var monthOpenLine = line.new(na, na, na, na, color = customLineColor, width = 1, style = line.style_dashed) var monthOpenLabel = label.new(na, na, text = "True Month Open", color = #ff990000, textcolor = customLineColor, size = size.small, style = label.style_label_left) isSecondWeekSunday = dayofweek == dayofweek.sunday and (dayofmonth >= 8 and dayofmonth <= 14) if showTrueMonthOpen if isSecondWeekSunday and IsTime(18,0, "America/New_York") line.set_xy1(monthOpenLine, bar_index, close) line.set_xy2(monthOpenLine, bar_index + lookahead_bars, close) label.set_xy(monthOpenLabel, bar_index, close) if barstate.islast line.set_x2(monthOpenLine, bar_index + lookahead_bars) label.set_x(monthOpenLabel, bar_index + lookahead_bars) else line.delete(monthOpenLine) label.delete(monthOpenLabel) directionalBias = "N/A" if is6_00Session or is7_30Session or is9_00Session or is10_30Session directionalBias := open > NYTrueOpen ? "Bullish" : "Bearish" var directionalBiasLabel = label.new(na, na, text = "Directional Bias: " + directionalBias, color = na, textcolor = customLineColor, size = size.normal, style = label.style_label_left) if barstate.islast label.set_x(directionalBiasLabel, bar_index + lookahead_bars) label.set_text(directionalBiasLabel, "Directional Bias: " + directionalBias) var float WeekOpen = na if dayofweek == dayofweek.monday and IsTime(18, 0, "America/New_York") WeekOpen := close if showTrueWeekOpen line.set_xy1(MondayLine, bar_index, close) line.set_xy2(MondayLine, bar_index, close) label.set_xy(MondayLabel, bar_index, close) // New table for static session type display var sessionTable = table.new(position.bottom_right, 1, 1, bgcolor = #b9b9bab8) // Update the table.cell function call if barstate.islast and not na(trueDayOpen) and not na(NYTrueOpen) and not na(WeekOpen) var string sessionTypeText = syminfo.ticker + " Dead Zone" var color sessionColor = color.rgb(126, 126, 126, 65) // Check conditions and set session type text and color accordingly if close < trueDayOpen and close < NYTrueOpen and close < WeekOpen sessionTypeText := syminfo.ticker + " Week Discount" sessionColor := #ba4b4b59 else if close > trueDayOpen and close > NYTrueOpen and close > WeekOpen sessionTypeText := syminfo.ticker + " Week Premium" sessionColor := #4b56ba5a else if close < trueDayOpen and close < NYTrueOpen and close > WeekOpen sessionTypeText := syminfo.ticker + " Day Discount & Week Dead Zone" sessionColor := #ba4b4b59 else if close > trueDayOpen and close > NYTrueOpen and close < WeekOpen sessionTypeText := syminfo.ticker + " Day premium & Week Dead Zone" sessionColor := #4b56ba5a // Using only size input for session type text table.cell(sessionTable, 0, 0, sessionTypeText, bgcolor = sessionColor, text_color = color.black, text_size = sessionTypeTextSize)
Penunjuk Pine Script®
oleh Roni84
5-Min ORB - NY Session5-Minute Opening Range Breakout (ORB) - NY Session Indicator This TradingView indicator identifies and plots the Opening Range Breakout (ORB) based on the first 5-minute candle of the New York trading session. Key Features: Automatic Detection: Automatically detects the NY session open (default 9:30 AM ET, fully customizable) and captures the high/low of the first 5-minute bar Multi-Timeframe Support: Works on any chart timeframe (1-min, 3-min, 15-min, etc.) by requesting 5-minute data Dynamic Price Targets: Calculates both bullish (above ORB high) and bearish (below ORB low) price targets based on the opening range size Configurable Targets: Set up to 10 price target levels on each side, with targets spaced proportionally to the ORB range Extended Lines: All lines automatically extend ahead of the current bar by a configurable number of minutes for better forward visibility Price Labels: Optional price labels display exact values at the end of each level Midpoint Line: Optional dashed midpoint line shows the center of the opening range Custom Styling: Fully customizable colors and transparency for all lines and labels How It Works: The indicator measures the distance between the ORB high and midpoint, then projects additional targets at equal intervals above the high (bullish targets in green) and below the low (bearish targets in red). Why Use a 5-Minute ORB? Tighter Range: The 5-minute opening range is typically smaller than the 15-minute range, providing more precise entry and exit levels Earlier Signals: Breakouts are identified sooner, allowing for faster reaction times Scalping-Friendly: Ideal for day traders and scalpers who prefer shorter timeframes and quicker price movements Higher Probability Zones: The narrower range often creates more reliable support/resistance levels for intraday trading Best Practices: Works best on liquid instruments with high volume during NY session open Combine with volume analysis to confirm breakout validity Consider using the first target as a take-profit level for quick scalps Watch for false breakouts within the first 15-30 minutes of the session
Penunjuk Pine Script®
oleh elitesingh
5-Minute Opening Range Breakout (ORB) - NY Session IndicatorThis TradingView indicator identifies and plots the Opening Range Breakout (ORB) based on the first 5-minute candle of the New York trading session. Key Features: Automatic Detection: Automatically detects the NY session open (default 9:30 AM ET, fully customizable) and captures the high/low of the first 5-minute bar Multi-Timeframe Support: Works on any chart timeframe (1-min, 3-min, 15-min, etc.) by requesting 5-minute data Dynamic Price Targets: Calculates both bullish (above ORB high) and bearish (below ORB low) price targets based on the opening range size Configurable Targets: Set up to 10 price target levels on each side, with targets spaced proportionally to the ORB range Extended Lines: All lines automatically extend ahead of the current bar by a configurable number of minutes for better forward visibility Price Labels: Optional price labels display exact values at the end of each level Midpoint Line: Optional dashed midpoint line shows the center of the opening range Custom Styling: Fully customizable colors and transparency for all lines and labels How It Works: The indicator measures the distance between the ORB high and midpoint, then projects additional targets at equal intervals above the high (bullish targets in green) and below the low (bearish targets in red). Why Use a 5-Minute ORB? Tighter Range: The 5-minute opening range is typically smaller than the 15-minute range, providing more precise entry and exit levels Earlier Signals: Breakouts are identified sooner, allowing for faster reaction times Scalping-Friendly: Ideal for day traders and scalpers who prefer shorter timeframes and quicker price movements Higher Probability Zones: The narrower range often creates more reliable support/resistance levels for intraday trading Best Practices: Works best on liquid instruments with high volume during NY session open Combine with volume analysis to confirm breakout validity Consider using the first target as a take-profit level for quick scalps Watch for false breakouts within the first 15-30 minutes of the session
Penunjuk Pine Script®
oleh elitesingh
SJ Fx Session RangeSJ Fx Session Range Indicator A Professional Forex Session Tracking Tool with Opening Range Analysis Overview The SJ Fx Session Range indicator is a comprehensive tool designed to help forex traders visualize major trading sessions (Asia, Europe+London, and New York) along with their first 15-minute opening ranges. Built with Pine Script v5, this indicator provides clear session boundaries, high/low ranges, and customizable opening range analysis to enhance your trading decisions. Key Features 1. Trading Session Boxes - Three major forex sessions: Asia, Europe+London, and New York - Color-coded session boxes with transparent backgrounds for easy visualization - Automatic session high/low tracking - Session labels displayed inside boxes for quick identification - Displays up to 50 historical sessions for pattern analysis 2. Opening Range Analysis - Tracks first 15-minute opening range for Europe, London, and NY sessions - Plots high, low, and mid-range levels - Customizable line colors for each session's opening range - Background highlights during the first 15 minutes of each session - Helps identify potential breakout or reversal zones 3. Daylight Saving Time Support - Built-in DST toggle for easy seasonal adjustment - Automatically adjusts all session timings by 1 hour when enabled - Clear tooltip instructions for when to enable/disable DST - Default timings configured for IST timezone (Asia/Kolkata) 4. User-Friendly Design - Clean input interface organized by session categories - Fixed optimal settings for boxes and lines (50-day history) - All session times are easily customizable with helpful tooltips - Warning tooltips to prevent accidental timing changes Default Session Times (when DST is disabled) - Asia Session: 04:00 - 12:30 IST - Europe + London Session: 12:30 - 20:00 IST - New York Session: 20:00 - 02:30 IST How to Use 1. Add to Chart: Apply the indicator to any forex pair chart 2. Adjust DST: Enable the "Start Daylight Saving Time Change" checkbox on the second Sunday in March; disable on the first Sunday in November 3. Customize Sessions: Toggle individual sessions on/off based on your trading preference 4. Opening Range Colors: Customize the opening range line colors for better visibility 5. Session Times: Default times are optimized for IST; modify only if trading from a different timezone Technical Specifications - Version: Pine Script v5 - Overlay: Yes (draws directly on price chart) - Maximum Objects: 500 boxes, 500 lines - History: 50 days of session data - Timezone: Asia/Kolkata (IST) - customizable in code Use Cases - Identify high-liquidity trading periods - Track session volatility patterns - Monitor opening range breakouts/breakdowns - Analyze session-specific price action - Plan entries around major session opens - Avoid trading during low-liquidity periods Performance Optimized for efficient rendering with: - Fixed 50-day history limit for optimal performance - Automatic cleanup of old session boxes and lines - Lightweight code structure for fast chart loading Customization Options Available Inputs: - Enable/disable individual sessions - Adjust session timings (with safety tooltips) - Toggle DST on/off - Show/hide opening range analysis - Customize opening range line colors for each session Fixed for Optimal Performance: - Session box colors (Asia: Aqua, Europe: Green, NY: Red) - 50-day historical display - Line width and style - Mid-range line always displayed Educational Value This indicator helps traders: - Understand forex market structure and session overlaps - Recognize high-probability trading times - Develop session-based trading strategies - Improve timing of trade entries and exits Open Source License This script is published under Mozilla Public License 2.0, allowing you to: - Use freely for personal trading - Modify and adapt to your needs - Learn from the code structure - Share improvements with the community Credits Developed by Shantanu Joshi - Designed for forex traders focusing on session-based strategies - Built with clean, well-documented Pine Script v5 code - Regular updates and improvements based on user feedback Support & Feedback If you find this indicator useful: - Give it a thumbs up - Share your trading results in the comments - Suggest improvements or new features - Report any issues for quick resolution Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice. Always conduct your own research and risk management before making trading decisions. Past performance does not guarantee future results. Compatible with: CFDs of forex pairs, commodities, indices, and crypto. Best used on: 5-minutes Recommended chart type: Candlestick charts
Penunjuk Pine Script®
oleh joshishantanu
Volatility-Targeted Momentum Portfolio [BackQuant]Volatility-Targeted Momentum Portfolio A complete momentum portfolio engine that ranks assets, targets a user-defined volatility, builds long, short, or delta-neutral books, and reports performance with metrics, attribution, Monte Carlo scenarios, allocation pie, and efficiency scatter plots. This description explains the theory and the mechanics so you can configure, validate, and deploy it with intent. Table of contents What the script does at a glance Momentum, what it is, how to know if it is present Volatility targeting, why and how it is done here Portfolio construction modes: Long Only, Short Only, Delta Neutral Regime filter and when the strategy goes to cash Transaction cost modelling in this script Backtest metrics and definitions Performance attribution chart Monte Carlo simulation Scatter plot analysis modes Asset allocation pie chart Inputs, presets, and deployment checklist Suggested workflow 1) What the script does at a glance Pulls a list of up to 15 tickers, computes a simple momentum score on each over a configurable lookback, then volatility-scales their bar-to-bar return stream to a target annualized volatility. Ranks assets by raw momentum, selects the top 3 and bottom 3, builds positions according to the chosen mode, and gates exposure with a fast regime filter. Accumulates a portfolio equity curve with risk and performance metrics, optional benchmark buy-and-hold for comparison, and a full alert suite. Adds visual diagnostics: performance attribution bars, Monte Carlo forward paths, an allocation pie, and scatter plots for risk-return and factor views. 2) Momentum: definition, detection, and validation Momentum is the tendency of assets that have performed well to continue to perform well, and of underperformers to continue underperforming, over a specific horizon. You operationalize it by selecting a horizon, defining a signal, ranking assets, and trading the leaders versus laggards subject to risk constraints. Signal choices . Common signals include cumulative return over a lookback window, regression slope on log-price, or normalized rate-of-change. This script uses cumulative return over lookback bars for ranking (variable cr = price/price - 1). It keeps the ranking simple and lets volatility targeting handle risk normalization. How to know momentum is present . Leaders and laggards persist across adjacent windows rather than flipping every bar. Spread between average momentum of leaders and laggards is materially positive in sample. Cross-sectional dispersion is non-trivial. If everything is flat or highly correlated with no separation, momentum selection will be weak. Your validation should include a diagnostic that measures whether returns are explained by a momentum regression on the timeseries. Recommended diagnostic tool . Before running any momentum portfolio, verify that a timeseries exhibits stable directional drift. Use this indicator as a pre-check: It fits a regression to price, exposes slope and goodness-of-fit style context, and helps confirm if there is usable momentum before you force a ranking into a flat regime. 3) Volatility targeting: purpose and implementation here Purpose . Volatility targeting seeks a more stable risk footprint. High-vol assets get sized down, low-vol assets get sized up, so each contributes more evenly to total risk. Computation in this script (per asset, rolling): Return series ret = log(price/price ). Annualized volatility estimate vol = stdev(ret, lookback) * sqrt(tradingdays). Leverage multiplier volMult = clamp(targetVol / vol, 0.1, 5.0). This caps sizing so extremely low-vol assets don’t explode weight and extremely high-vol assets don’t go to zero. Scaled return stream sr = ret * volMult. This is the per-bar, risk-adjusted building block used in the portfolio combinations. Interpretation . You are not levering your account on the exchange, you are rescaling the contribution each asset’s daily move has on the modeled equity. In live trading you would reflect this with position sizing or notional exposure. 4) Portfolio construction modes Cross-sectional ranking . Assets are sorted by cr over the chosen lookback. Top and bottom indices are extracted without ties. Long Only . Averages the volatility-scaled returns of the top 3 assets: avgRet = mean(sr_top1, sr_top2, sr_top3). Position table shows per-asset leverages and weights proportional to their current volMult. Short Only . Averages the negative of the volatility-scaled returns of the bottom 3: avgRet = mean(-sr_bot1, -sr_bot2, -sr_bot3). Position table shows short legs. Delta Neutral . Long the top 3 and short the bottom 3 in equal book sizes. Each side is sized to 50 percent notional internally, with weights within each side proportional to volMult. The return stream mixes the two sides: avgRet = mean(sr_top1,sr_top2,sr_top3, -sr_bot1,-sr_bot2,-sr_bot3). Notes . The selection metric is raw momentum, the execution stream is volatility-scaled returns. This separation is deliberate. It avoids letting volatility dominate ranking while still enforcing risk parity at the return contribution stage. If everything rallies together and dispersion collapses, Long Only may behave like a single beta. Delta Neutral is designed to extract cross-sectional momentum with low net beta. 5) Regime filter A fast EMA(12) vs EMA(21) filter gates exposure. Long Only active when EMA12 > EMA21. Otherwise the book is set to cash. Short Only active when EMA12 < EMA21. Otherwise cash. Delta Neutral is always active. This prevents taking long momentum entries during obvious local downtrends and vice versa for shorts. When the filter is false, equity is held flat for that bar. 6) Transaction cost modelling There are two cost touchpoints in the script. Per-bar drag . When the regime filter is active, the per-bar return is reduced by fee_rate * avgRet inside netRet = avgRet - (fee_rate * avgRet). This models proportional friction relative to traded impact on that bar. Turnover-linked fee . The script tracks changes in membership of the top and bottom baskets (top1..top3, bot1..bot3). The intent is to charge fees when composition changes. The template counts changes and scales a fee by change count divided by 6 for the six slots. Use case: increase fee_rate to reflect taker fees and slippage if you rebalance every bar or trade illiquid assets. Reduce it if you rebalance less often or use maker orders. Practical advice . If you rebalance daily, start with 5–20 bps round-trip per switch on liquid futures and adjust per venue. For crypto perp microcaps, stress higher cost assumptions and add slippage buffers. If you only rotate on lookback boundaries or at signals, use alert-driven rebalances and lower per-bar drag. 7) Backtest metrics and definitions The script computes a standard set of portfolio statistics once the start date is reached. Net Profit percent over the full test. Max Drawdown percent, tracked from running peaks. Annualized Mean and Stdev using the chosen trading day count. Variance is the square of annualized stdev. Sharpe uses daily mean adjusted by risk-free rate and annualized. Sortino uses downside stdev only. Omega ratio of sum of gains to sum of losses. Gain-to-Pain total gains divided by total losses absolute. CAGR compounded annual growth from start date to now. Alpha, Beta versus a user-selected benchmark. Beta from covariance of daily returns, Alpha from CAPM. Skewness of daily returns. VaR 95 linear-interpolated 5th percentile of daily returns. CVaR average of the worst 5 percent of daily returns. Benchmark Buy-and-Hold equity path for comparison. 8) Performance attribution Cumulative contribution per asset, adjusted for whether it was held long or short and for its volatility multiplier, aggregated across the backtest. You can filter to winners only or show both sides. The panel is sorted by contribution and includes percent labels. 9) Monte Carlo simulation The panel draws forward equity paths from either a Normal model parameterized by recent mean and stdev, or non-parametric bootstrap of recent daily returns. You control the sample length, number of simulations, forecast horizon, visibility of individual paths, confidence bands, and a reproducible seed. Normal uses Box-Muller with your seed. Good for quick, smooth envelopes. Bootstrap resamples realized returns, preserving fat tails and volatility clustering better than a Gaussian assumption. Bands show 10th, 25th, 75th, 90th percentiles and the path mean. 10) Scatter plot analysis Four point-cloud modes, each plotting all assets and a star for the current portfolio position, with quadrant guides and labels. Risk-Return Efficiency . X is risk proxy from leverage, Y is expected return from annualized momentum. The star shows the current book’s composite. Momentum vs Volatility . Visualizes whether leaders are also high vol, a cue for turnover and cost expectations. Beta vs Alpha . X is a beta proxy, Y is risk-adjusted excess return proxy. Useful to see if leaders are just beta. Leverage vs Momentum . X is volMult, Y is momentum. Shows how volatility targeting is redistributing risk. 11) Asset allocation pie chart Builds a wheel of current allocations. Long Only, weights are proportional to each long asset’s current volMult and sum to 100 percent. Short Only, weights show the short book as positive slices that sum to 100 percent. Delta Neutral, 50 percent long and 50 percent short books, each side leverage-proportional. Labels can show asset, percent, and current leverage. 12) Inputs and quick presets Core Portfolio Strategy . Long Only, Short Only, Delta Neutral. Initial Capital . For equity scaling in the panel. Trading Days/Year . 252 for stocks, 365 for crypto. Target Volatility . Annualized, drives volMult. Transaction Fees . Per-bar drag and composition change penalty, see the modelling notes above. Momentum Lookback . Ranking horizon. Shorter is more reactive, longer is steadier. Start Date . Ensure every symbol has data back to this date to avoid bias. Benchmark . Used for alpha, beta, and B&H line. Diagnostics Metrics, Equity, B&H, Curve labels, Daily return line, Rolling drawdown fill. Attribution panel. Toggle winners only to focus on what matters. Monte Carlo mode with Normal or Bootstrap and confidence bands. Scatter plot type and styling, labels, and portfolio star. Pie chart and labels for current allocation. Presets Crypto Daily, Long Only . Lookback 25, Target Vol 50 percent, Fees 10 bps, Regime filter on, Metrics and Drawdown on. Monte Carlo Bootstrap with Recent 200 bars for bands. Crypto Daily, Delta Neutral . Lookback 25, Target Vol 50 percent, Fees 15–25 bps, Regime filter always active for this mode. Use Scatter Risk-Return to monitor efficiency and keep the star near upper left quadrants without drifting rightward. Equities Daily, Long Only . Lookback 60–120, Target Vol 15–20 percent, Fees 5–10 bps, Regime filter on. Use Benchmark SPX and watch Alpha and Beta to keep the book from becoming index beta. 13) Suggested workflow Universe sanity check . Pick liquid tickers with stable data. Thin assets distort vol estimates and fees. Check momentum existence . Run on your timeframe. If slope and fit are weak, widen lookback or avoid that asset or timeframe. Set risk budget . Choose a target volatility that matches your drawdown tolerance. Higher target increases turnover and cost sensitivity. Pick mode . Long Only for bull regimes, Short Only for sustained downtrends, Delta Neutral for cross-sectional harvesting when index direction is unclear. Tune lookback . If leaders rotate too often, lengthen it. If entries lag, shorten it. Validate cost assumptions . Increase fee_rate and stress Monte Carlo. If the edge vanishes with modest friction, refine selection or lengthen rebalance cadence. Run attribution . Confirm the strategy’s winners align with intuition and not one unstable outlier. Use alerts . Enable position change, drawdown, volatility breach, regime, momentum shift, and crash alerts to supervise live runs. Important implementation details mapped to code Momentum measure . cr = price / price - 1 per symbol for ranking. Simplicity helps avoid overfitting. Volatility targeting . vol = stdev(log returns, lookback) * sqrt(tradingdays), volMult = clamp(targetVol / vol, 0.1, 5), sr = ret * volMult. Selection . Extract indices for top1..top3 and bot1..bot3. The arrays rets, scRets, lev_vals, and ticks_arr track momentum, scaled returns, leverage multipliers, and display tickers respectively. Regime filter . EMA12 vs EMA21 switch determines if the strategy takes risk for Long or Short modes. Delta Neutral ignores the gate. Equity update . Equity multiplies by 1 + netRet only when the regime was active in the prior bar. Buy-and-hold benchmark is computed separately for comparison. Tables . Position tables show current top or bottom assets with leverage and weights. Metric table prints all risk and performance figures. Visualization panels . Attribution, Monte Carlo, scatter, and pie use the last bars to draw overlays that update as the backtest proceeds. Final notes Momentum is a portfolio effect. The edge comes from cross-sectional dispersion, adequate risk normalization, and disciplined turnover control, not from a single best asset call. Volatility targeting stabilizes path but does not fix selection. Use the momentum regression link above to confirm structure exists before you size into it. Always test higher lag costs and slippage, then recheck metrics, attribution, and Monte Carlo envelopes. If the edge persists under stress, you have something robust.
Penunjuk Pine Script®
oleh BackQuant
Market Profile Dominance Analyzer# Market Profile Dominance Analyzer ## 📊 OVERVIEW **Market Profile Dominance Analyzer** is an advanced multi-factor indicator that combines Market Profile methodology with composite dominance scoring to identify buyer and seller strength across higher timeframes. Unlike traditional volume profile indicators that only show volume distribution, or simple buyer/seller indicators that only compare candle colors, this script integrates six distinct analytical components into a unified dominance measurement system. This indicator helps traders understand **WHO controls the market** by analyzing price position relative to Market Profile key levels (POC, Value Area) combined with volume distribution, momentum, and trend characteristics. ## 🎯 WHAT MAKES THIS ORIGINAL ### **Hybrid Analytical Approach** This indicator uniquely combines two separate methodologies that are typically analyzed independently: 1. **Market Profile Analysis** - Calculates Point of Control (POC) and Value Area (VA) using volume distribution across price channels on higher timeframes 2. **Multi-Factor Dominance Scoring** - Weights six independent factors to produce a composite dominance index ### **Six-Factor Composite Analysis** The dominance score integrates: - Price position relative to POC (equilibrium assessment) - Price position relative to Value Area boundaries (acceptance/rejection zones) - Volume imbalance within Value Area (institutional bias detection) - Price momentum (directional strength) - Volume trend comparison (participation analysis) - Normalized Value Area position (precise location within fair value zone) ### **Adaptive Higher Timeframe Integration** The script features an intelligent auto-selection system that automatically chooses appropriate higher timeframes based on the current chart period, ensuring optimal Market Profile structure regardless of the trading timeframe being analyzed. ## 💡 HOW IT WORKS ### **Market Profile Construction** The indicator builds a Market Profile structure on a higher timeframe by: 1. **Session Identification** - Detects new higher timeframe sessions using `request.security()` to ensure accurate period boundaries 2. **Data Accumulation** - Stores high, low, and volume data for all bars within the current higher timeframe session 3. **Channel Distribution** - Divides the session's price range into configurable channels (default: 20 rows) 4. **Volume Mapping** - Distributes each bar's volume proportionally across all price channels it touched ### **Key Level Calculation** **Point of Control (POC)** - Identifies the price channel with the highest accumulated volume - Represents the price level where the most trading activity occurred - Serves as a magnetic level where price often returns **Value Area (VA)** - Starts at POC and expands both upward and downward - Includes channels until reaching the specified percentage of total volume (default: 70%) - Expansion algorithm compares adjacent volumes and prioritizes the direction with higher activity - Defines the "fair value" zone where most market participants agreed to trade ### **Dominance Score Formula** ``` Dominance Score = (price_vs_poc × 10) + (price_vs_va × 5) + (volume_imbalance × 0.5) + (price_momentum × 100) + (volume_trend × 5) + (va_position × 15) ``` **Component Breakdown:** - **price_vs_poc**: +1 if above POC, -1 if below (shows which side of equilibrium) - **price_vs_va**: +2 if above VAH, -2 if below VAL, 0 if inside VA - **volume_imbalance**: Percentage difference between upper and lower VA volumes - **price_momentum**: 5-period SMA of price change (directional acceleration) - **volume_trend**: Compares 5-period vs 20-period volume averages - **va_position**: Normalized position within Value Area (-1 to +1) The composite score is then smoothed using EMA with configurable sensitivity to reduce noise while maintaining responsiveness. ### **Market State Determination** - **BUYERS Dominant**: Smooth dominance > +10 (bullish control) - **SELLERS Dominant**: Smooth dominance < -10 (bearish control) - **NEUTRAL**: Between -10 and +10 (balanced market) ## 📈 HOW TO USE THIS INDICATOR ### **Trend Identification** - **Green background** indicates buyers are in control - look for long opportunities - **Red background** indicates sellers are in control - look for short opportunities - **Gray background** indicates neutral market - consider range-bound strategies ### **Signal Interpretation** **Buy Signals** (green triangle) appear when: - Dominance crosses above -10 from oversold conditions - Previous state was not already bullish - Suggests shift from seller to buyer control **Sell Signals** (red triangle) appear when: - Dominance crosses below +10 from overbought conditions - Previous state was not already bearish - Suggests shift from buyer to seller control ### **Value Area Context** Monitor the information table (top-right) to understand market structure: - **Price vs POC**: Shows if trading above/below equilibrium - **Volume Imbalance**: Positive values favor buyers, negative favors sellers - **Market State**: Current dominant force (BUYERS/SELLERS/NEUTRAL) ### **Multi-Timeframe Strategy** The auto-timeframe feature analyzes higher timeframe structure: - On 1-minute charts → analyzes 2-hour structure - On 5-minute charts → analyzes Daily structure - On 15-minute charts → analyzes Weekly structure - On Daily charts → analyzes Yearly structure This higher timeframe context helps avoid counter-trend trades against the dominant force. ### **Confluence Trading** Strongest signals occur when multiple factors align: 1. Price above VAH + positive volume imbalance + buyers dominant = Strong bullish setup 2. Price below VAL + negative volume imbalance + sellers dominant = Strong bearish setup 3. Price at POC + neutral state = Potential breakout/breakdown pivot ## ⚙️ INPUT PARAMETERS - **Higher Time Frame**: Select specific HTF or use 'Auto' for intelligent selection - **Value Area %**: Percentage of volume contained in VA (default: 70%) - **Show Buy/Sell Signals**: Toggle signal triangles visibility - **Show Dominance Histogram**: Toggle histogram display - **Signal Sensitivity**: EMA period for dominance smoothing (1-20, default: 5) - **Number of Channels**: Market Profile resolution (10-50, default: 20) - **Color Settings**: Customize buyer, seller, and neutral colors ## 🎨 VISUAL ELEMENTS - **Histogram**: Shows smoothed dominance score (green = buyers, red = sellers) - **Zero Line**: Neutral equilibrium reference - **Overbought/Oversold Lines**: ±50 levels marking extreme dominance - **Background Color**: Highlights current market state - **Information Table**: Displays key metrics (state, dominance, POC relationship, volume imbalance, timeframe, bars in session, total volume) - **Signal Shapes**: Triangle markers for buy/sell signals ## 🔔 ALERTS The indicator includes three alert conditions: 1. **Buyers Dominate** - Fires on buy signal crossovers 2. **Sellers Dominate** - Fires on sell signal crossovers 3. **Dominance Shift** - Fires when dominance crosses zero line ## 📊 BEST PRACTICES ### **Timeframe Selection** - **Scalping (1-5min)**: Focus on 2H-4H dominance shifts - **Day Trading (15-60min)**: Monitor Daily and Weekly structure - **Swing Trading (4H-Daily)**: Track Weekly and Monthly dominance ### **Confirmation Strategies** 1. **Trend Following**: Enter in direction of dominance above/below ±20 2. **Reversal Trading**: Fade extreme readings beyond ±50 when diverging with price 3. **Breakout Trading**: Look for dominance expansion beyond ±30 with increasing volume ### **Risk Management** - Avoid trading during NEUTRAL states (dominance between -10 and +10) - Use POC levels as logical stop-loss placement - Consider VAH/VAL as profit targets for mean reversion ## ⚠️ LIMITATIONS & WARNINGS **Data Requirements** - Requires sufficient historical data on current chart (minimum 100 bars recommended) - Lower timeframes may show fewer bars per HTF session initially - More accurate results after several complete HTF sessions have formed **Not a Standalone System** - This indicator analyzes market structure and participant control - Should be combined with price action, support/resistance, and risk management - Does not guarantee profitable trades - past dominance does not predict future results **Repainting Characteristics** - Higher timeframe levels (POC, VAH, VAL) update as new bars form within the session - Dominance score recalculates with each new bar - Historical signals remain fixed, but current session data is developing **Volume Limitations** - Uses exchange-provided volume data which varies by instrument type - Forex and some CFDs use tick volume (not actual transaction volume) - Most accurate on instruments with reliable volume data (stocks, futures, crypto) ## 🔍 TECHNICAL NOTES **Performance Optimization** - Uses `max_bars_back=5000` for extended historical analysis - Efficient array management prevents memory issues - Automatic cleanup of session data on new period **Calculation Method** - Market Profile uses actual volume distribution, not TPO (Time Price Opportunity) - Value Area expansion follows traditional Market Profile auction theory - All calculations occur on the chart's current symbol and timeframe ## 📚 EDUCATIONAL VALUE This indicator helps traders understand: - How institutional traders use Market Profile to identify fair value - The relationship between price, volume, and market acceptance - Multi-factor analysis techniques for assessing market conditions - The importance of higher timeframe structure in trade planning ## 🎓 RECOMMENDED READING To better understand the concepts behind this indicator: - "Mind Over Markets" by James Dalton (Market Profile foundations) - "Markets in Profile" by James Dalton (Value Area analysis) - Volume Profile analysis in institutional trading ## 💬 USAGE TERMS This indicator is provided as an educational and analytical tool. It does not constitute financial advice, investment recommendations, or trading signals. Users are responsible for their own trading decisions and should conduct their own research and due diligence. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose.
Penunjuk Pine Script®
oleh Smart-Day-Trader
EMA Cross + RSI + ADX - Autotrade Strategy V2Overview A versatile trend-following strategy combining EMA 9/21 crossovers with RSI momentum filtering and optional ADX trend strength confirmation. Designed for both cryptocurrency and traditional futures/options markets with built-in stop loss management and automated position reversals. Key Features Multi-Market Compatibility: Works on both crypto futures (Bitcoin, Ethereum) and traditional markets (NIFTY, Bank NIFTY, S&P 500 futures, equity options) Triple Confirmation System: EMA crossover + RSI filter + ADX strength (optional) Automated Risk Management: 2% stop loss with wick-touch detection Position Auto-Reversal: Opposite signals automatically close and reverse positions Webhook Ready: Six distinct alert messages for automation (Entry Buy/Sell, Close Long/Short, SL Hit Long/Short) Performance Metrics NIFTY Futures (15min): 50%+ win rate with ADX filter OFF Crypto Markets: Requires extensive backtesting before live deployment Optimal Timeframes: 15-minute to 1-hour charts (patience required for higher timeframes) Strategy Logic Entry Signals: LONG: EMA 9 crosses above EMA 21 + RSI > 55 + ADX > 20 (if enabled) SHORT: EMA 9 crosses below EMA 21 + RSI < 45 + ADX > 20 (if enabled) Exit Signals: Opposite EMA crossover (auto-closes current position) Stop loss hit at 2% from entry price (tracks candle wicks) Technical Indicators: Fast EMA: 9-period (short-term trend) Slow EMA: 21-period (primary trend) RSI: 14-period with 55/45 thresholds (momentum confirmation) ADX: 14-period with 20 threshold (trend strength filter - optional) Market-Specific Settings Traditional Markets (NIFTY, Bank NIFTY, S&P Futures, Options) Recommended Settings: ADX Filter: Turn OFF (less choppy, cleaner trends) Timeframe: 15-minute chart Win Rate: 50%+ on NIFTY Futures Why No ADX: Traditional markets have more institutional participation and smoother price action, making ADX unnecessary Cryptocurrency Markets (BTC, ETH, Altcoins) Recommended Settings: ADX Filter: Turn ON (ADX > 20) Timeframe: 15-minute to 1-hour Extensive backtesting required before live trading Why ADX: Crypto markets are highly volatile and prone to false breakouts; ADX filters low-quality chop Best Practices ✅ Backtest thoroughly on your specific instrument and timeframe ✅ Use larger timeframes (1H, 4H) for higher quality signals and better risk/reward ✅ Adjust RSI thresholds based on market volatility (try 52/48 for more signals, 60/40 for fewer but stronger) ✅ Monitor ADX effectiveness - disable for traditional markets, enable for crypto ✅ Proper position sizing - adjust default_qty_value based on your capital and instrument price ✅ Paper trade first - test for 2-4 weeks before risking real capital Risk Management Fixed 2% stop loss per trade (adjustable) Stop loss tracks candle wicks for accurate execution Positions auto-reverse on opposite signals (no manual intervention needed) 0.075% commission built into backtest (adjust for your broker) Customization Options All parameters are adjustable via inputs: EMA periods (default: 9/21) RSI length and thresholds (default: 14-period, 55/45 levels) ADX length and threshold (default: 14-period, 20 threshold) Stop loss percentage (default: 2%) Webhook Automation This strategy includes six distinct alert messages for automated trading: "Entry Buy" - Long position opened "Entry Sell" - Short position opened "Close Long" - Long position closed on opposite crossover "Close Short" - Short position closed on opposite crossover "SL Hit Long" - Long stop loss triggered "SL Hit Short" - Short stop loss triggered Compatible with Delta Exchange, Binance Futures, 3Commas, Alertatron, and other webhook platforms. Important Notes ⚠️ Crypto markets require extensive backtesting - volatility patterns differ significantly from traditional markets ⚠️ Higher timeframes = better results - 15min works but 1H/4H provide cleaner signals ⚠️ ADX toggle is critical - OFF for traditional markets, ON for crypto ⚠️ Not financial advice - always conduct your own research and use proper risk management ⚠️ Past performance ≠ future results - backtest results may not reflect live trading conditions Disclaimer This strategy is for educational and informational purposes only. Trading futures and options involves substantial risk of loss. Always backtest thoroughly, start with paper trading, and never risk more than you can afford to lose. The author assumes no responsibility for any trading losses incurred using this strategy.
Strategi Pine Script®
oleh varuns_back
5
ALN Sessions Box — Auto- DSTDevoleper: Sheikh Rakib What it does Draws candle-synced high/low range boxes for the three major sessions—Asia (Dhaka view), London, and New York—on any timeframe. London and New York are DST-aware (times auto-shift on DST changes). Boxes update live with session high/low and close exactly on the session’s final bar. Key features Auto-DST: Uses Europe/London and America/New_York time zones, so session windows auto-adjust when DST turns on/off. Asia (BDT) window: Default 06:00–15:00 Asia/Dhaka (no DST). Candle-linked boxes: Top/bottom track session High/Low; right edge finalizes on the session end bar—clean breakout zones. Clean UI: Optional labels, outline toggle, and three opacity presets (Dark/Medium/Light). Plug & play: Drop in, customize colors/times, done. Inputs you can tweak Time Range (LOCAL) for each session Defaults: Asia 06:00–15:00 (Asia/Dhaka), London 08:00–17:00 (Europe/London), New York 08:00–17:00 (America/New_York) For equities, switch New York to 09:30–16:00—DST handling remains automatic. Colour per session, Show Session Labels, Show Range Outline, Opacity Preset. UTC Offset input is retained for compatibility but not used for session detection. Quick BDT reference (for the default 08:00–17:00 local windows) London → DST ON (BST): 13:00–22:00 BDT · DST OFF (GMT): 14:00–23:00 BDT New York → DST ON (EDT): 18:00–03:00 BDT (next day) · DST OFF (EST): 19:00–04:00 BDT (next day) Asia (Dhaka) → 06:00–15:00 BDT (no DST) Tips If you see dotted vertical lines, that’s TradingView Session breaks (Chart Settings → Appearance). Turn off if you prefer a cleaner view. Some symbols don’t trade during parts of a session—adjust Time Range as needed. Labels are placed inside the box; adjust opacity/colors to suit your theme. A sharp, professional session map for spotting breakouts, reversals, and volatility windows at a glance.
Penunjuk Pine Script®
oleh Greenbd
EMA + RSI Autotrade Webhook - VarunOverview The EMA + RSI Autotrade Webhook is a powerful trend-following indicator designed for automated crypto futures trading. This indicator combines the reliability of Exponential Moving Average (EMA) crossovers with RSI momentum filtering to generate high-probability buy and sell signals optimized for webhook integration with crypto exchanges like Delta Exchange, Binance Futures, and Bybit.Key Features Simple & Effective: Uses proven EMA 9/21 crossover strategy RSI Momentum Filter: Eliminates low-probability trades in ranging markets Webhook Ready: Two clean alerts (LONG Entry, SHORT Entry) for seamless automation Exchange Compatible: Works with Delta Exchange, 3Commas, Alertatron, and other webhook platforms Zero Lag Signals: Real-time alerts on crossover confirmation Visual Clarity: Clean chart markers for easy signal identification How It Works Entry Signals: LONG Entry: Triggers when EMA 9 crosses above EMA 21 AND RSI is above 52 (bullish momentum confirmed) SHORT Entry: Triggers when EMA 9 crosses under EMA 21 AND RSI is below 48 (bearish momentum confirmed) Technical Components: Fast EMA: 9-period (tracks short-term price action) Slow EMA: 21-period (identifies primary trend) RSI: 14-period (confirms momentum strength) RSI Long Threshold: 52 (filters weak bullish signals) RSI Short Threshold: 48 (filters weak bearish signals) Best Use Cases Crypto Futures Trading: Bitcoin, Ethereum, Altcoin perpetual contracts Automated Trading Bots: Integration with Delta Exchange webhooks, TradingView alerts Timeframes: Optimized for 15-minute charts (works on 5min-1H) Markets: Trending crypto markets with clear directional moves Risk Management: Best used with 1-2% stop loss per trade (managed externally) Webhook Automation Setup Add indicator to your TradingView chart Create alerts for "LONG Entry" and "SHORT Entry" Configure webhook URL from your exchange (Delta Exchange, Binance, etc.) Use alert message: Entry LONG {{ticker}} @ {{close}} or Entry SHORT {{ticker}} @ {{close}} Exchange automatically reverses positions on opposite signals Advantages ✅ No manual trading required - fully automated ✅ Eliminates emotional trading decisions ✅ Catches trending moves early with EMA crossovers ✅ RSI filter reduces whipsaws in choppy markets ✅ Works 24/7 without monitoring ✅ Simple two-alert system (easy to manage) ✅ Compatible with multiple exchanges via webhooksStrategy Philosophy This indicator follows a trend-following with momentum confirmation approach. By waiting for both EMA crossover AND RSI confirmation, it ensures you're entering trades with genuine momentum behind them, not just random price noise. The tight RSI thresholds (52/48) keep you aligned with the prevailing trend.Recommended Settings Timeframe: 15-minute (primary), 5-minute (scalping), 1-hour (swing) Markets: BTC/USDT, ETH/USDT, high-liquidity altcoin perpetuals Position Sizing: 100% capital per signal (exchange manages reversals) Stop Loss: 2% (managed via exchange or external bot) Leverage: 1-2x for conservative approach, up to 5x for aggressive Important Notes ⚠️ This indicator generates entry signals only - position reversals are handled automatically by your exchange ⚠️ Always backtest on historical data before live trading ⚠️ Use proper risk management and position sizing ⚠️ Best performance in trending markets; may generate false signals in tight ranges ⚠️ Requires TradingView Premium or higher for webhook functionalityTags cryptocurrency futures automated-trading ema-crossover rsi webhook delta-exchange tradingview-alerts trend-following momentum bitcoin ethereum crypto-bot algo-trading 15-minute-strategy
Penunjuk Pine Script®
oleh varuns_back