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Delta Spike Detector [GSK-VIZAG-AP-INDIA]📌 Delta Spike Detector – Volume Imbalance Ratio By GSK-VIZAG-AP-INDIA 📘 Overview This indicator highlights aggressive buying or selling activity by analyzing the imbalance between estimated Buy and Sell volume per candle. It flags moments when one side dominates the other significantly — defined by user-selectable volume ratio thresholds (10x, 15x, 20x, 25x). 📊 How It Works Buy/Sell Volume Estimation Approximates buyer and seller participation using candle structure: Buy Volume = Proximity of close to low Sell Volume = Proximity of close to high Delta & Delta Ratio Delta = Buy Volume − Sell Volume Delta Ratio = Ratio of dominant volume side to the weaker side When this ratio exceeds a threshold, it’s classified as a spike. Spike Labels Labels are plotted on the chart: 10x B, 15x B, 20x B, 25x B → Buy Spike Labels (below candles) 10x S, 15x S, 20x S, 25x S → Sell Spike Labels (above candles) The color of each label reflects the spike strength. ⚙️ User Inputs Enable/Disable Buy or Sell Spikes Set custom delta ratio thresholds (default: 10x, 15x, 20x, 25x) 🎯 Use Cases Spotting sudden aggressive activity (e.g. smart money moves, traps, breakouts) Identifying short-term market exhaustion or momentum bursts Complementing other trend or volume-based tools ⚠️ Important Notes The script uses approximated Buy/Sell Volume based on price position, not actual order flow. This is not a buy/sell signal generator. It should be used in context with other confirmation indicators or market structure. ✍️ Credits Developed by GSK-VIZAG-AP-INDIA For educational and research use only.
Penunjuk Pine Script®
oleh prowelltraders
Zen Open - 18 Bar v2Zen Open – 18 Bar Box (RTH Study Tool) 📄 Description: This script highlights the first 18 bars of each Regular Trading Hours (RTH) session with a visual box and optional range label. It is intended as a study aid for traders analyzing early session structure. Features: • Draws a box around the first 18 bars of the RTH session • Displays the total range as a label (optional) • Fully customizable box color and transparency Intended Use: This is an educational and visual analysis tool to help traders research how the RTH open influences the rest of the session. Tight opening range may suggest range expansion Wide opening range may indicate reduced movement or reversal risk This script does not generate trading signals, does not offer financial advice, and does not promote any service. It is provided for discretionary study and chart analysis only.
Penunjuk Pine Script®
oleh Zen_Trading_Tech
Position Size Calculator with Fees# Position Size Calculator with Portfolio Management - Manual ## Overview The Position Size Calculator with Portfolio Management is an advanced Pine Script indicator designed to help traders calculate optimal position sizes based on their total portfolio value and risk management strategy. This tool automatically calculates your risk amount based on portfolio allocation percentages and determines the exact position size needed while accounting for trading fees. ## Key Features - **Portfolio-Based Risk Management**: Calculates risk based on total portfolio value - **Tiered Risk Allocation**: Separates trading allocation from total portfolio - **Automatic Trade Direction Detection**: Determines long/short based on entry vs stop loss - **Fee Integration**: Accounts for trading fees in position size calculations - **Risk Factor Adjustment**: Allows scaling of position size up or down - **Visual Display**: Shows all calculations in a clear, color-coded table - **Automatic Risk Calculation**: No need to manually input risk amount ## Input Parameters ### Total Portfolio ($) - **Purpose**: The total value of your investment portfolio - **Default**: 0.0 - **Range**: Any positive value - **Step**: 0.01 - **Example**: If your total portfolio is worth $100,000, enter 100000 ### Trading Portfolio Allocation (%) - **Purpose**: The percentage of your total portfolio allocated to active trading - **Default**: 20.0% - **Range**: 0.0% to 100.0% - **Step**: 0.01 - **Example**: If you allocate 20% of your portfolio to trading, enter 20 ### Risk from Trading (%) - **Purpose**: The percentage of your trading allocation you're willing to risk per trade - **Default**: 0.1% - **Range**: Any positive value - **Step**: 0.01 - **Example**: If you risk 0.1% of your trading allocation per trade, enter 0.1 ### Entry Price ($) - **Purpose**: The price at which you plan to enter the trade - **Default**: 0.0 - **Range**: Any positive value - **Step**: 0.01 ### Stop Loss ($) - **Purpose**: The price at which you will exit if the trade goes against you - **Default**: 0.0 - **Range**: Any positive value - **Step**: 0.01 ### Risk Factor - **Purpose**: A multiplier to scale your position size up or down - **Default**: 1.0 (no scaling) - **Range**: 0.0 to 10.0 - **Step**: 0.1 - **Examples**: - 1.0 = Normal position size - 2.0 = Double the position size - 0.5 = Half the position size ### Fee (%) - **Purpose**: The percentage fee charged per transaction - **Default**: 0.01% (0.01) - **Range**: 0.0% to 1.0% - **Step**: 0.001 ## How Risk Amount is Calculated The script automatically calculates your risk amount using this formula: ``` Risk Amount = Total Portfolio × Trading Allocation (%) × Risk % ÷ 10,000 ``` ### Example Calculation: - Total Portfolio: $100,000 - Trading Allocation: 20% - Risk per Trade: 0.1% **Risk Amount = $100,000 × 20 × 0.1 ÷ 10,000 = $20** This means you would risk $20 per trade, which is 0.1% of your $20,000 trading allocation. ## Portfolio Structure Example Let's say you have a $100,000 portfolio: ### Allocation Structure: - **Total Portfolio**: $100,000 - **Trading Allocation (20%)**: $20,000 - **Long-term Investments (80%)**: $80,000 ### Risk Management: - **Risk per Trade (0.1% of trading)**: $20 - **Maximum trades at risk**: Could theoretically have 1,000 trades before risking entire trading allocation ## How Position Size is Calculated ### Trade Direction Detection - **Long Trade**: Entry price > Stop loss price - **Short Trade**: Entry price < Stop loss price ### Position Size Formulas #### For Long Trades: ``` Position Size = -Risk Factor × Risk Amount / (Stop Loss × (1 - Fee) - Entry Price × (1 + Fee)) ``` #### For Short Trades: ``` Position Size = -Risk Factor × Risk Amount / (Entry Price × (1 - Fee) - Stop Loss × (1 + Fee)) ``` ## Output Display The indicator displays a comprehensive table with color-coded sections: ### Portfolio Information (Light Blue Background) - **Portfolio (USD)**: Your total portfolio value - **Trading Portfolio Allocation (%)**: Percentage allocated to trading - **Risk as % of Trading**: Risk percentage per trade ### Trade Setup (Gray Background) - **Entry Price**: Your specified entry price - **Stop Loss**: Your specified stop loss price - **Fee (%)**: Trading fee percentage - **Risk Factor**: Position size multiplier ### Risk Analysis (Red Background) - **Risk Amount**: Automatically calculated dollar risk - **Effective Entry**: Actual entry cost including fees - **Effective Exit**: Actual exit value including fees - **Expected Loss**: Calculated loss if stop loss is hit - **Deviation from Risk %**: Accuracy of risk calculation ### Final Result (Blue Background) - **Position Size**: Number of shares/units to trade ## Usage Examples ### Example 1: Conservative Long Trade - **Total Portfolio**: $50,000 - **Trading Allocation**: 15% - **Risk per Trade**: 0.05% - **Entry Price**: $25.00 - **Stop Loss**: $24.00 - **Risk Factor**: 1.0 - **Fee**: 0.01% **Calculated Risk Amount**: $50,000 × 15% × 0.05% ÷ 100 = $3.75 ### Example 2: Aggressive Short Trade - **Total Portfolio**: $200,000 - **Trading Allocation**: 30% - **Risk per Trade**: 0.2% - **Entry Price**: $150.00 - **Stop Loss**: $155.00 - **Risk Factor**: 2.0 - **Fee**: 0.01% **Calculated Risk Amount**: $200,000 × 30% × 0.2% ÷ 100 = $120 **Actual Risk**: $120 × 2.0 = $240 (due to risk factor) ## Color Coding System - **Green/Red Header**: Trade direction (Long/Short) - **Light Blue**: Portfolio management parameters - **Gray**: Trade setup parameters - **Red**: Risk-related calculations and results - **Blue**: Final position size result ## Best Practices ### Portfolio Management 1. **Keep trading allocation reasonable** (typically 10-30% of total portfolio) 2. **Use conservative risk percentages** (0.05-0.2% per trade) 3. **Don't risk more than you can afford to lose** ### Risk Management 1. **Start with small risk factors** (1.0 or less) until comfortable 2. **Monitor your total exposure** across all open positions 3. **Adjust risk based on market conditions** ### Trade Execution 1. **Always validate calculations** before placing trades 2. **Account for slippage** in volatile markets 3. **Consider position size relative to liquidity** ## Risk Management Guidelines ### Conservative Approach - Trading Allocation: 10-20% - Risk per Trade: 0.05-0.1% - Risk Factor: 0.5-1.0 ### Moderate Approach - Trading Allocation: 20-30% - Risk per Trade: 0.1-0.15% - Risk Factor: 1.0-1.5 ### Aggressive Approach - Trading Allocation: 30-40% - Risk per Trade: 0.15-0.25% - Risk Factor: 1.5-2.0 ## Troubleshooting ### Common Issues 1. **Position Size shows 0** - Verify all portfolio inputs are greater than 0 - Check that entry price differs from stop loss - Ensure calculated risk amount is positive 2. **Very small position sizes** - Increase risk percentage or risk factor - Check if your risk amount is too small for the price difference 3. **Large risk deviation** - Normal for very small positions - Consider adjusting entry/stop loss levels ### Validation Checklist - Total portfolio value is realistic - Trading allocation percentage makes sense - Risk percentage is conservative - Entry and stop loss prices are valid - Trade direction matches your intention ## Advanced Features ### Risk Factor Usage - **Scaling up**: Use risk factors > 1.0 for high-confidence trades - **Scaling down**: Use risk factors < 1.0 for uncertain trades - **Never exceed**: Risk factors that would risk more than your comfort level ### Multiple Timeframe Analysis - Use different risk factors for different timeframes - Consider correlation between positions - Adjust trading allocation based on market conditions ## Disclaimer This tool is for educational and planning purposes only. Always verify calculations manually and consider market conditions, liquidity, and correlation between positions. The automated risk calculation assumes you're comfortable with the mathematical relationship between portfolio allocation and individual trade risk. Past performance doesn't guarantee future results, and all trading involves risk of loss.
Penunjuk Pine Script®
oleh cth1903
Easy Position Size Calculator with Fees# Easy Position Size Calculator with Fees - Manual ## Overview The Easy Position Size Calculator is a Pine Script indicator designed to help traders calculate the optimal position size for their trades while accounting for trading fees. This tool automatically determines whether you're planning a long or short position and calculates the exact position size needed to risk a specific dollar amount. ## Key Features - **Automatic Trade Direction Detection**: Determines if you're going long or short based on entry price vs stop loss - **Fee Integration**: Accounts for trading fees in position size calculations - **Risk Management**: Calculates position size based on your specified risk amount - **Risk Factor Adjustment**: Allows you to scale your position size up or down - **Visual Display**: Shows all calculations in a clear, organized table ## Input Parameters ### Entry Price ($) - **Purpose**: The price at which you plan to enter the trade - **Default**: 0.0 - **Range**: Any positive value - **Step**: 0.01 ### Stop Loss ($) - **Purpose**: The price at which you will exit the trade if it goes against you - **Default**: 0.0 - **Range**: Any positive value - **Step**: 0.01 ### Risk ($) - **Purpose**: The maximum dollar amount you're willing to lose on this trade - **Default**: 0.0 - **Range**: Any positive value - **Step**: 0.01 ### Risk Factor - **Purpose**: A multiplier to scale your position size up or down - **Default**: 1.0 (no scaling) - **Range**: 0.0 to 10.0 - **Step**: 0.1 - **Examples**: - 1.0 = Normal position size - 2.0 = Double the position size - 0.5 = Half the position size ### Fee (%) - **Purpose**: The percentage fee charged per transaction (buy/sell) - **Default**: 0.01% (0.01) - **Range**: 0.0% to 1.0% - **Step**: 0.001 ## How It Works ### Trade Direction Detection The script automatically determines your trade direction: - **Long Trade**: Entry price > Stop loss price - **Short Trade**: Entry price < Stop loss price ### Position Size Calculation #### For Long Trades: ``` Position Size = -Risk Factor × Risk Amount / (Stop Loss × (1 - Fee) - Entry Price × (1 + Fee)) ``` #### For Short Trades: ``` Position Size = -Risk Factor × Risk Amount / (Entry Price × (1 - Fee) - Stop Loss × (1 + Fee)) ``` ### Fee Adjustment The script accounts for fees on both entry and exit: - **Long trades**: You pay fees when buying (entry) and selling (exit) - **Short trades**: You pay fees when shorting (entry) and covering (exit) ## Output Display The indicator displays a table with the following information: ### Trade Information - **Trade Type**: Shows whether it's a LONG, SHORT, or INVALID trade - **Entry Price**: Your specified entry price - **Stop Loss**: Your specified stop loss price - **Fee (%)**: The fee percentage being used ### Risk Parameters - **Risk Amount**: The dollar amount you're willing to risk - **Risk Factor**: The multiplier being applied ### Calculated Values - **Effective Entry**: The actual cost per share including fees - **Effective Exit**: The actual exit value per share including fees - **Expected Loss**: The calculated loss if stop loss is hit - **Deviation from Risk %**: Shows how close the expected loss is to your target risk - **Position Size**: The number of shares/units to trade ## Usage Examples ### Example 1: Long Trade - Entry Price: $100.00 - Stop Loss: $95.00 - Risk Amount: $500.00 - Risk Factor: 1.0 - Fee: 0.01% **Result**: The script will calculate how many shares to buy so that if the stop loss is hit, you lose approximately $500 (accounting for fees). Position Size: 99.61152 ### Example 2: Short Trade - Entry Price: $50.00 - Stop Loss: $55.00 - Risk Amount: $300.00 - Risk Factor: 1.0 - Fee: 0.01% **Result**: The script will calculate how many shares to short so that if the stop loss is hit, you lose approximately $300 (accounting for fees). Position Size: 59.87426 ## Important Notes ### Validation Requirements For the script to work properly, all of the following must be true: - Entry price > 0 - Stop loss > 0 - Risk amount > 0 - Entry price ≠ Stop loss (to determine direction) ### Negative Position Sizes The script may show negative position sizes, which is normal: - **Negative values for long trades**: Represents shares to buy - **Negative values for short trades**: Represents shares to short ### Risk Deviation The "Deviation from Risk %" shows how closely the calculated position size matches your target risk. Small deviations are normal due to: - Fee calculations - Rounding - Market precision ## Color Coding The table uses color coding for easy identification: - **Green**: Long trade information - **Red**: Short trade information - **Gray**: Invalid trade (when inputs are incorrect) - **Blue**: Final position size - **Red background**: Risk-related calculations ## Troubleshooting ### Common Issues 1. **Position Size shows 0** - Check that all inputs are greater than 0 - Ensure entry price is different from stop loss 2. **Trade Type shows INVALID** - Verify that entry price and stop loss are both positive - Make sure entry price ≠ stop loss 3. **Large Risk Deviation** - This is normal for very small position sizes - Consider adjusting your risk amount or price levels ## Best Practices 1. **Always validate your inputs** before placing actual trades 2. **Double-check the trade direction** shown in the table 3. **Review the expected loss** to ensure it aligns with your risk management 4. **Consider the effective entry/exit prices** which include fees 5. **Use appropriate risk factors** - avoid extreme values that could lead to overexposure ## Disclaimer This tool is for educational and planning purposes only. Always verify calculations manually and consider market conditions, liquidity, and other factors before placing actual trades. The script assumes that fees are charged on both entry and exit transactions.
Penunjuk Pine Script®
oleh cth1903
4 diffs (CB & IBIT Premium)📊 Script Name: 4 diffs (CB & IBIT Premium) Version: Pine Script® v6 Overlay: Yes (table displayed on chart) 🧠 What it Does: This script tracks four important Bitcoin price differentials to monitor spot/perpetual/futures price inefficiencies and ETF premium/discounts, and displays them in a live table on the chart. It helps traders identify arbitrage opportunities or institutional pricing signals. 📈 Displayed Metrics: Coinbase Premium → Difference between Coinbase spot and Binance spot prices. → Use case: US vs. offshore spot market divergence. Coinbase Spot vs Binance Perpetual → Difference between Coinbase spot and Binance perpetual price. → Use case: Spot-perp basis, often used for funding rate insights or market stress. Bybit vs Binance Perpetual → Difference between Bybit perp and Binance perp price. → Use case: Compare derivative pricing across major offshore exchanges. IBIT Premium (CME vs ETF-implied) → Compares CME futures price vs. IBIT’s implied spot BTC value → IBIT implied BTC = IBIT ETF price ÷ (BTC held / shares outstanding) → Use case: Gauge institutional premium/discount and ETF arbitrage clues. 🛠️ Customization: Text color of the table is adjustable via the input setting. 📌 Visual Output: A fixed 2×4 table appears in the top-right corner of the chart. Each row shows a label and the live price difference in USD.
Penunjuk Pine Script®
oleh LLVVB
Dynamic Ray BandsAbout Dynamic Ray Bands Dynamic Ray Bands is a volatility-adaptive envelope indicator that adjusts in real time to evolving market conditions. It uses a Double Exponential Moving Average (DEMA) as its central trend reference, with upper and lower bands scaled according to current volatility measured by the Average True Range (ATR). This creates a dynamic structure that visually frames price action, helping traders identify areas of potential trend continuation, overextension, or mean reversion. How It Works 🟡 Centerline (DEMA) The central yellow line is a Double Exponential Moving Average, which offers a smoother, less laggy trend signal than traditional moving averages. It represents the market’s short- to medium-term “equilibrium.” 🔵 Outer Bands Plotted at: Upper Band = DEMA + (ATR × outerMultiplier) Lower Band = DEMA - (ATR × outerMultiplier) These bands define the extreme bounds of current volatility. When price breaks above or below them, it can signal strong directional momentum or overbought/oversold conditions, depending on context. They're often used as trend breakout zones or to time exits after extended runs. 🟣 Inner Bands Plotted closer to the DEMA: Inner Upper = DEMA + (ATR × innerMultiplier) Inner Lower = DEMA - (ATR × innerMultiplier) These are preliminary volatility thresholds, offering early cues for potential expansion or reversal. They may be used for scalping, tight stop zones, or pre-breakout positioning. 🔁 Dynamic Width (Bands are Dynamically Adjusted Per Tick) The width of both inner and outer bands is based on ATR (Average True Range), which is recalculated in real time. This means: During high volatility, the bands expand, allowing for wider price fluctuations. During low volatility, the bands contract, tightening range expectations. Unlike fixed-width channels or standard Bollinger Bands (which use standard deviation), this per-tick adjustment via ATR enables Dynamic Ray Bands to reduce false signals in choppy markets and remain more reactive during trending conditions. ⚙️ Inputs DMA Length — Period for the central DEMA. ATR Length — Lookback used for ATR volatility calculations. Outer Band Multiplier — Controls sensitivity of extreme bands. Inner Band Multiplier — Controls proximity of inner bands. Show Inner Bands — Toggle for plotting the inner zone. 🔔 Alerts Alert conditions are included for: Price closing above/below the outer bands (trend momentum or overextension) Price closing above/below the inner bands (early signs of strength/weakness) 🧭 Use Cases Breakout detection — Catch price continuation beyond the outer bands. Volatility filtering — Adjust trade logic based on band width. Mean reversion — Monitor for snapbacks toward the DEMA after price stretches too far. Trend guidance — Use band slope and price position to confirm direction. ⚠️ Disclaimer This script is intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to trade any specific market or security. Always test indicators thoroughly before using them in live trading.
Penunjuk Pine Script®
oleh fuel_fighter
True Breakout Pattern [TradingFinder] Breakout Signal Indicator🔵 Introduction In many market conditions, what initially appears to be a decisive breakout often turns out to be nothing more than a false breakout or fake breakout. Price breaks through a key swing level or an important support and resistance zone, only to quickly return to its previous range. These failed breakouts, which are often the result of liquidity traps or market manipulation, serve more as a warning sign of structural weakness than confirmation of a new trend. This indicator is designed around the concept of the fake breakout. The logic is simple but precise : when price breaks a swing level and returns to that level within a maximum of five candles, the move is considered a false breakout. At this point, a Fibonacci retracement is applied to the recent price swing to evaluate the pullback area. If price, within ten candles after the return to the breakout level, enters the Fibonacci zone between 0.618 and 1.0, the setup becomes valid for a potential entry. This area is identified as a long entry zone, with the stop loss placed just beyond the 1.0 level and the take profit defined based on the desired risk-to-reward ratio. By combining accurate detection of false breakouts, analysis of price reaction to swing levels, and alignment with Fibonacci retracement logic, this framework allows traders to identify opportunities often missed by others. In a market where failed breakouts are a common and recurring phenomenon, this indicator aims to transform these traps into measurable trading opportunities. Long Setup : Short Setup : 🔵 How to Use This indicator operates based on the recognition of false breakouts from structural levels in the market, specifically swing levels, and combines that with Fibonacci retracement analysis. In this strategy, trades are only considered when price returns to the broken level within a defined time window and reacts appropriately inside a predefined Fibonacci range. Depending on the direction of the initial breakout, the system outlines two scenarios for long and short setups. 🟣 Long Setup In the long setup, price initially breaks below a support level or swing low. If the price returns to the broken level within a maximum of five candles, the move is identified as a fake breakout. At this stage, a Fibonacci retracement is drawn from the recent high to the low. If price, within ten candles of returning to the level, moves into the 0.618 to 1.0 Fibonacci zone, the conditions for a long entry are met. The stop loss is placed slightly below the 1.0 level, while the take profit is set based on the trader’s preferred risk-reward ratio. This setup aims to capture deeply discounted entries at low risk, aligned with smart money reversals. 🟣 Short Setup In the short setup, the price breaks above a resistance level or swing high. If the price returns to that level within five candles, the move is again treated as a false breakout. Fibonacci is then drawn from the recent low to the high to observe the retracement area. Should price enter the 0.618 to 1.0 Fibonacci range within ten candles of returning, a short entry is considered valid. In this case, the stop loss is placed just above the 1.0 level, and the take profit is adjusted based on the intended risk-reward target. This method allows traders to identify high-probability short setups by focusing on failed breakouts and deep pullbacks. 🔵 Settings 🟣 Logical settings Swing period : You can set the swing detection period. Valid After Trigger Bars : Limits how many candles after a fake breakout the entry zone remains valid. Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine. Max Swing Back : You can set the number of swings that will go back for checking. 🟣 Display settings Displaying or not displaying swings and setting the color of labels and lines. 🟣 Alert Settings Alert False Breakout : Enables alerts for Breakout. Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'. Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'. 🔵 Conclusion A sound understanding of the false breakout phenomenon and its relationship to structural price behavior is essential for technical traders aiming to improve precision and consistency. Many poor trading decisions stem from misinterpreting failed breakouts and entering too early into weak signals. A structured approach, grounded in the analysis of swing levels and validated through specific price action and timing rules, can turn these misleading moves into valuable trade opportunities. This indicator, by combining fake breakout detection with time filters and Fibonacci-based retracement zones, helps traders only engage with the market when multiple confirming factors are in alignment. The result is a strategy that emphasizes probability, risk control, and clarity in decision-making, offering a solid edge in navigating today’s volatile markets.
Penunjuk Pine Script®
oleh TFlab
28
IU Engulfing Candlestick PatternDISCRIPTION 📈 The IU Engulfing Candlestick Pattern indicator spotlights both bullish and bearish engulfing formations in real‑time. It shades each pattern with a transparent box and drops a concise label so you can catch potential reversals at a glance—no clutter, no noise, just the candles that matter. USER INPUTS : 1. Pattern Recognition Based on = “Both” | “Wicks” | “Body” ( Default Both )  • Both → only highlights candles that satisfy **both** wick‑and‑body engulfing rules  • Wicks → checks full candle range (high‑to‑low)  • Body → checks only the real bodies (open‑to‑close) 2. Show Labels ( Default true ) If ticked then it will show the text as "Bullish Engulfing" or "Bearish Engulfing". 3. Show The Box ( Default true) if ticked then it will show the green or red boxes. INDICATOR LOGIC: 🔹 Bullish Engulfing (green box)  – Current bar closes higher than it opens and fully “wraps” the prior bar per your chosen rule. 🔹 Bearish Engulfing (red box)  – Current bar closes lower than it opens and fully “wraps” the prior bar per your chosen rule. 🔸 When a pattern confirms:  1. The script records the local high/low range.  2. Draws a semi‑transparent box spanning the engulfing pair.  3. Prints a compact up/down label exactly at the reaction point.  4. Fires a once‑per‑bar alert (“Bullish Engulfing” / “Bearish Engulfing”) you can route to webhooks or notifications. WHY IT IS UNIQUE: ✨ Combines classic body‑only engulfing with an optional wick filter, letting traders demand stricter confirmation when markets are noisy. ✨ Box overlays visually segment the engulfed range—clearer than single‑bar markers. ✨ Lightweight: one input, zero repaint, and capped at 500 boxes to keep charts responsive. ✨ Ready‑to‑use alerts—no extra code needed for automation. HOW USER CAN BENIFIT FROM IT : - Spot early reversal zones or continuation thrusts without scanning candle by candle. - Pair the alerts with trading bots, TradingView strategy testers, or mobile push notifications. - Adapt the strictness (Body vs. Wicks vs. Both) to suit different assets, timeframes, or volatility regimes. - Use the colored range boxes as dynamic support/resistance references for entries, targets, and stop‑loss placement. 📌 Tip: Test on multiple instruments and timeframes to find the sweet spot that matches your risk profile. This script is for educational purposes—always combine with sound risk management and confirm signals with broader market context. Disclaimer : This Video is not financial advice, it's for educational purposes only highlighting the power of coding( pine script) in TradingView, I am not a SEBI-registered advisor. Trading and investing involve risk, and you should consult with a qualified financial advisor before making any trading decisions. I do not guarantee profits or take responsibility for any losses you may incur.
Penunjuk Pine Script®
oleh Shivam_Mandrai
Kelly Optimal Leverage IndicatorThe Kelly Optimal Leverage Indicator mathematically applies Kelly Criterion to determine optimal position sizing based on market conditions. This indicator helps traders answer the critical question: "How much capital should I allocate to this trade?" Note that "optimal position sizing" does not equal the position sizing that you should have. The Optima position sizing given by the indicator is based on historical data and cannot predict a crash, in which case, high leverage could be devastating. Originally developed for gambling scenarios with known probabilities, the Kelly formula has been adapted here for financial markets to dynamically calculate the optimal leverage ratio that maximizes long-term capital growth while managing risk. Key Features Kelly Position Sizing: Uses historical returns and volatility to calculate mathematically optimal position sizes Multiple Risk Profiles: Displays Full Kelly (aggressive), 3/4 Kelly (moderate), 1/2 Kelly (conservative), and 1/4 Kelly (very conservative) leverage levels Volatility Adjustment: Automatically recommends appropriate Kelly fraction based on current market volatility Return Smoothing: Option to use log returns and smoothed calculations for more stable signals Comprehensive Table: Displays key metrics including annualized return, volatility, and recommended exposure levels How to Use Interpret the Lines: Each colored line represents a different Kelly fraction (risk tolerance level). When above zero, positive exposure is suggested; when below zero, reduce exposure. Note that this is based on historical returns. I personally like to increase my exposure during market downturns, but this is hard to illustrate in the indicator. Monitor the Table: The information panel provides precise leverage recommendations and exposure guidance based on current market conditions. Follow Recommended Position: Use the "Recommended Position" guidance in the table to determine appropriate exposure level. Select Your Risk Profile: Conservative traders should follow the Half Kelly or Quarter Kelly lines, while more aggressive traders might consider the Three-Quarter or Full Kelly lines. Adjust with Volatility: During high volatility periods, consider using more conservative Kelly fractions as recommended by the indicator. Mathematical Foundation The indicator calculates the optimal leverage (f*) using the formula: f* = μ/σ² Where: μ is the annualized expected return σ² is the annualized variance of returns This approach balances potential gains against risk of ruin, offering a scientific framework for position sizing that maximizes long-term growth rate. Notes The Full Kelly is theoretically optimal for maximizing long-term growth but can experience significant drawdowns. You should almost never use full kelly. Most practitioners use fractional Kelly strategies (1/2 or 1/4 Kelly) to reduce volatility while capturing most of the growth benefits This indicator works best on daily timeframes but can be applied to any timeframe Negative Kelly values suggest reducing or eliminating market exposure The indicator should be used as part of a complete trading system, not in isolation Enjoy the indicator! :) P.S. If you are really geeky about the Kelly Criterion, I recommend the book The Kelly Capital Growth Investment Criterion by Edward O. Thorp and others.
Penunjuk Pine Script®
oleh HenriqueCentieiro
Crypto Risk-Weighted Allocation SuiteCrypto Risk-Weighted Allocation Suite This indicator is designed to help users explore dynamic portfolio allocation frameworks for the crypto market. It calculates risk-adjusted allocation weights across major crypto sectors and cash based on multi-factor momentum and volatility signals. Best viewed on INDEX:BTCUSD 1D chart. Other charts and timeframes may give mixed signals and incoherent allocations. 🎯 How It Works This model systematically evaluates the relative strength of: BTC Dominance (CRYPTOCAP:BTC.D) Represents Bitcoin’s share of the total crypto market. Rising dominance typically indicates defensive market phases or BTC-led trends. ETH/BTC Ratio (BINANCE:ETHBTC) Gauges Ethereum’s relative performance versus Bitcoin. This provides insight into whether ETH is leading risk appetite. SOL/BTC Ratio (BINANCE:SOLBTC) Measures Solana’s performance relative to Bitcoin, capturing mid-cap layer-1 strength. Total Market Cap excluding BTC and ETH (CRYPTOCAP:TOTAL3ES) Represents Altcoins as a broad category, reflecting appetite for higher-risk assets. Each of these series is: ✅ Converted to a momentum slope over a configurable lookback period. ✅ Standardized into Z-scores to normalize changes relative to recent behavior. ✅ Smoothed optionally using a Hull Moving Average for cleaner signals. ✅ Divided by ATR-based volatility to create a risk-weighted score. ✅ Scaled to proportionally allocate exposure, applying user-configured minimum and maximum constraints. 🪙 Dynamic Allocation Logic All signals are normalized to sum to 100% if fully confident. An overall confidence factor (based on total signal strength) scales the allocation up or down. Any residual is allocated to cash (unallocated capital) for conservative exposure. The script automatically avoids “all-in” bias and prevents negative allocations. 📊 Outputs The indicator displays: Market Phase Detection (which asset class is currently leading) Risk Mode (Risk On, Neutral, Risk Off) Dynamic Allocations for BTC, ETH, SOL, Alts, and Cash Optional momentum plots for transparency 🧠 Why This Is Unique Unlike simple dominance indicators or crossovers, this model: Integrates multiple cross-asset signals (BTC, ETH, SOL, Alts) Adjusts exposure proportionally to signal strength Normalizes by volatility, dynamically scaling risk Includes configurable constraints to reflect your own risk tolerance Provides a cash fallback allocation when conviction is low Is entirely non-repainting and based on daily closing data ⚠️ Disclaimer This script is provided for educational and informational purposes only. It is not financial advice and should not be relied upon to make investment decisions. Past performance does not guarantee future results. Always consult a qualified financial advisor before acting on any information derived from this tool. 🛠 Recommended Use As a framework to visualize relative momentum and risk-adjusted allocations For research and backtesting ideas on portfolio allocation across crypto sectors To help build your own risk management process This script is not a turnkey strategy and should be customized to fit your goals. ✅ Enjoy exploring dynamic crypto allocations responsibly!
Penunjuk Pine Script®
oleh RWCS_LTD
Custom Daily Session Zones by KoenigseggCustom Daily Session Zones 🟣 Description This indicator displays customizable trading session time zones as background highlights on your chart, on any timeframe you choose. The inline info tooltip provides the precise start and end times of the three largest market sessions—the US, the EU, and ASIA—for quick reference. It provides flexible control over session times for different days of the week, making it ideal for traders who need to visualize specific market hours or trading sessions. 🟣 Key Features - Flexible Session Configuration: Set a common session time for all days or customize individual sessions for each day of the week - Per-Day Control: Enable or disable sessions for specific days (Monday through Sunday) - Color Customization: Choose unique colors for each day's session zones - UTC Timezone Standard: All session times are defined in UTC to ensure consistency across charts - Clean Visual Display: Non-intrusive background highlighting that doesn't interfere with price action 🟣 How to Use - Common Session Mode: Use the default mode to apply the same session time across all enabled days - Manual Per-Day Mode: Enable "Manual per-day sessions" to set different session times for each day - Day Selection: Toggle individual days on/off based on your trading schedule - Color Coding: Customize colors for each day to easily distinguish between different sessions 🟣 Technical Details - Uses Pine Script v6 for optimal performance - Implements proper session time detection using TradingView's built-in time functions - Operates in UTC timezone for all session calculations - Lightweight code that doesn't impact chart performance 🟣 Use Cases - Highlight specific trading sessions (London, New York, Tokyo, etc.) - Mark important market hours for your trading strategy - Visualize different session overlaps - Create custom trading time windows - Track market activity during specific hours 🟣 Compatibility - Works on all timeframes - Compatible with all asset classes (Forex, Stocks, Crypto, Futures, etc.) - Supports all TradingView chart types - Responsive design that adapts to different screen sizes 🟣 Image Descriptions - First Image (main image): Shows multiple New York Stock Exchange sessions from 1:30 p.m. to 8:00 p.m. (UTC), on the 15-minute timeframe, with each day’s zone colored differently to demonstrate the indicator’s customizable color settings. - Second Image: A zoomed‑in fractal chart view of the same New York session on the 15-minute timeframe, illustrating how the background session zone appears even at higher detail levels. Third Image: A close‑up of the New York session (1:30 p.m. to 8:00 p.m.) on the 3-minute timeframe, reaffirming the consistency of zone highlighting across different zoom levels. 🟣 Future Updates (v2) In the next release, you’ll be able to define multiple session blocks per day—displaying two distinct colored zones within the same trading day. This will help you visualize when one market session ends and another begins without losing chart clarity. 🟣 Conclusion This indicator is perfect for traders who need precise control over Market Session visualization and want to maintain a clean, professional chart appearance. 🟣 Disclaimer This script is provided for educational and illustrative purposes only. It is not financial or trading advice, nor a recommendation to buy or sell any asset. Always conduct your own research and consult a professional before making any trading decisions.
Penunjuk Pine Script®
oleh CryptoPandaTA
Random Coin Toss Strategy📌 Overview This strategy is a probability-based trading simulation that randomly decides trade direction using a coin-toss mechanism and executes trades with a customizable risk-reward ratio. It's designed primarily for testing entry frequency and risk dynamics, not predictive accuracy. 🎯 Core Concept Every N bars (configurable), the strategy performs a pseudo-random coin toss. Based on the result: If heads → Buy If tails → Sell Once a position is opened, it sets a Stop-Loss (SL) and Take-Profit (TP) based on a multiple of the current ATR (Average True Range) value. ⚙️ Configurable Inputs ATR Length Period for ATR calculation, determines volatility basis. SL Multiplier SL distance = ATR × multiplier (e.g., 1.0 means 1x ATR) . TP Multiplier TP distance = ATR × multiplier (e.g., 2.0 = 2x ATR) . Entry Frequency Bars to wait between each new coin toss decision. Show TP/SL Zones Toggle on/off for drawing visual TP and SL zones. Box Size Number of bars used to define the width of the TP/SL boxes. 🔁 Entry & Exit Logic Entry: Happens only when no current position exists and it's the correct bar interval. Entry direction is randomly decided. Exit: Positions exit at either: Take-Profit (TP) level Stop-Loss (SL) level Both are calculated using the configured ATR-based distances. 🖼️ Visual Features TP and SL zones: Rendered as shaded rectangles (boxes) only once per trade. Green box for TP zone, red box for SL zone. Automatically deleted and redrawn for each new trade to avoid chart clutter. ATR Display Table: A minimal info table at the top-right shows the current ATR value. Updates every few bars for performance. 🧪 Use Cases Ideal for risk-reward modeling, strategy prototyping, and understanding how volatility-based SL/TP behavior affects results. Great for backtesting frequency, RR tweaks (e.g., 2:5 or 3:1), and execution structure in random conditions. ⚠️ Disclaimer Since the trade direction is random, this script is not meant for predictive trading but serves as a powerful experiment framework for studying how SL, TP, and volatility interact with random chance in a controlled, repeatable system.
Strategi Pine Script®
oleh vineeth059
1
Advanced Currency Strength Meter# Advanced Currency Strength Meter (ACSM) The Advanced Currency Strength Meter (ACSM) is a scientifically-based indicator that measures relative currency strength using established academic methodologies from international finance and behavioral economics. This indicator provides traders with a comprehensive view of currency market dynamics through multiple analytical frameworks. ### Theoretical Foundation #### 1. Purchasing Power Parity (PPP) Theory Based on Cassel's (1918) seminal work and refined by Froot & Rogoff (1995), PPP suggests that exchange rates should reflect relative price levels between countries. The ACSM momentum component captures deviations from long-term equilibrium relationships, providing insights into currency misalignments. #### 2. Uncovered Interest Rate Parity (UIP) and Carry Trade Theory Building on Fama (1984) and Lustig et al. (2007), the indicator incorporates volatility-adjusted momentum to capture carry trade flows and interest rate differentials that drive currency strength. This approach helps identify currencies benefiting from interest rate differentials. #### 3. Behavioral Finance and Currency Momentum Following Burnside et al. (2011) and Menkhoff et al. (2012), the model recognizes that currency markets exhibit persistent momentum effects due to behavioral biases and institutional flows. The indicator captures these momentum patterns for trading opportunities. #### 4. Portfolio Balance Theory Based on Branson & Henderson (1985), the relative strength matrix captures how portfolio rebalancing affects currency cross-rates and creates trading opportunities between different currency pairs. ### Technical Implementation #### Core Methodologies: - **Z-Score Normalization**: Following Sharpe (1994), provides statistical significance testing without arbitrary scaling - **Momentum Analysis**: Uses return-based metrics (Jegadeesh & Titman, 1993) for trend identification - **Volatility Adjustment**: Implements Average True Range methodology (Wilder, 1978) for risk-adjusted strength - **Composite Scoring**: Equal-weight methodology to avoid overfitting and maintain robustness - **Correlation Analysis**: Risk management framework based on Markowitz (1952) portfolio theory #### Key Features: - **Multi-Source Data Integration**: Supports OANDA, Futures, and CFD data sources - **Scientific Methodology**: No arbitrary scaling or curve-fitting; all calculations based on established statistical methods - **Comprehensive Dashboard**: Clean, professional table showing currency strengths and best trading pairs - **Alert System**: Automated notifications for strong/weak currency conditions and extreme values - **Best Pair Identification**: Algorithmic detection of highest-potential trading opportunities ### Practical Applications #### For Swing Traders: - Identify currencies in strong uptrends or downtrends - Select optimal currency pairs based on relative strength divergence - Time entries based on momentum convergence/divergence #### For Day Traders: - Use with real-time futures data for intraday opportunities - Monitor currency correlations for risk management - Detect early reversal signals through extreme value alerts #### For Portfolio Managers: - Multi-currency exposure analysis - Risk management through correlation monitoring - Strategic currency allocation decisions ### Visual Design The indicator features a clean, professional dashboard that displays: - **Currency Strength Values**: Each major currency (EUR, GBP, JPY, CHF, AUD, CAD, NZD, USD) with color-coded strength values - **Best Trading Pairs**: Filtered list of highest-potential currency pairs with BUY/SELL signals - **Market Analysis**: Real-time identification of strongest and weakest currencies - **Potential Score**: Quantitative measure of trading opportunity strength ### Data Sources and Latency The indicator supports multiple data sources to accommodate different trading needs: - **OANDA (Delayed)**: Free data with 15-20 minute delay, suitable for swing trading - **Futures (Real-time)**: CME currency futures for real-time analysis - **CFDs**: Alternative real-time data source option ### Mathematical Framework #### Strength Calculation: Momentum = (Price - Price ) / Price * 100 Z-Score = (Price - Mean) / Standard Deviation Volatility-Adjusted = Momentum / ATR-based Volatility Composite = 0.5 * Momentum + 0.3 * Z-Score + 0.2 * Volatility-Adjusted #### USD Strength Derivation: USD strength is calculated as the weighted average of all USD-based pairs, providing a true baseline for relative strength comparison. ### Performance Considerations The indicator is optimized for: - **Computational Efficiency**: Uses Pine Script v6 best practices - **Memory Management**: Appropriate lookback periods and array handling - **Visual Clarity**: Clean table design optimized for both light and dark themes - **Alert Reliability**: Robust signal generation with statistical significance testing ### Limitations and Risk Disclosure - Model performance may vary during extreme market stress (Black Swan events) - Requires stable data feeds for accurate calculations - Not optimized for high-frequency scalping strategies - Central bank interventions may temporarily distort signals - Performance assumes normal market conditions with behavioral adjustments ### Academic References - Branson, W. H., & Henderson, D. W. (1985). "The Specification and Influence of Asset Markets" - Burnside, C., Eichenbaum, M., & Rebelo, S. (2011). "Carry Trade and Momentum in Currency Markets" - Cassel, G. (1918). "Abnormal Deviations in International Exchanges" - Fama, E. F. (1984). "Forward and Spot Exchange Rates" - Froot, K. A., & Rogoff, K. (1995). "Perspectives on PPP and Long-Run Real Exchange Rates" - Jegadeesh, N., & Titman, S. (1993). "Returns to Buying Winners and Selling Losers" - Lustig, H., Roussanov, N., & Verdelhan, A. (2007). "Common Risk Factors in Currency Markets" - Markowitz, H. (1952). "Portfolio Selection" - Menkhoff, L., Sarno, L., Schmeling, M., & Schrimpf, A. (2012). "Carry Trades and Global FX Volatility" - Sharpe, W. F. (1994). "The Sharpe Ratio" - Wilder, J. W. (1978). "New Concepts in Technical Trading Systems" ### Usage Instructions 1. **Setup**: Add the indicator to your chart and select your preferred data source 2. **Currency Selection**: Choose which currencies to analyze (default: all major currencies) 3. **Methodology**: Select calculation method (Composite recommended for most users) 4. **Monitoring**: Watch the dashboard for strength changes and best pair opportunities 5. **Alerts**: Set up notifications for strong/weak currency conditions
Penunjuk Pine Script®
oleh EdgeTools
NQ Position Size CalculatorNQ Position Size Line Calculator is designed specifically for Nasdaq 100 futures (NQ) and micro futures (MNQ) traders who want to maintain disciplined risk management. This visual tool eliminates the guesswork from position sizing by displaying distance lines and contract calculations directly on your chart. The indicator creates horizontal lines at 10-tick intervals from your stop loss level, showing you exactly how many contracts to trade at each distance to maintain your predetermined risk amount. Whether you're trading regular NQ contracts or micro MNQ contracts, this calculator ensures you never risk more than intended while providing instant visual feedback for optimal position sizing decisions. How to Use the Indicator Step 1: Configure Your Settings Stop Loss Price: Enter your exact stop loss level (e.g., 20000.00) Risk Amount ($): Set your maximum dollar risk per trade (e.g., $500) Contract Type: Choose between: NQ (Regular): $5 per tick - for larger accounts MNQ (Micro): $0.50 per tick - for smaller accounts or conservative sizing Display Options: Max Lines: Number of distance lines to show (default: 30) Show Labels: Toggle tick distance and contract count labels Line Color: Customize the color of distance lines Label Size: Choose tiny, small, or normal label sizes Step 2: Read the Visual Display Once configured, the indicator displays: Stop Loss Line: Thick yellow line marking your exact stop loss level Yellow label showing the stop loss price Distance Lines: Dashed red lines at 10-tick intervals above and below your stop loss Lines appear on both sides for long and short position planning Labels (if enabled): Green labels (right side): For long positions above your stop loss Red labels (left side): For short positions below your stop loss Format: "20T 5x" means 20 ticks distance, 5 contracts maximum Step 3: Use the Information Tables The indicator provides two helpful tables: Position Size Table (top-right): Shows common tick distances (10, 20, 40, 80, 160 ticks) Displays risk per contract at each distance Contract count for your specified risk amount Total risk with rounded contract numbers Settings Table (bottom-right): Confirms your current risk amount Shows selected contract type Displays current settings for quick reference Step 4: Apply to Your Trading For Long Positions: Look at the green labels on the right side of your chart Find your desired entry level Read the label to see: distance in ticks and maximum contracts Example: "30T 8x" = 30 ticks from stop, buy 8 contracts maximum For Short Positions: Look at the red labels on the left side of your chart Find your desired entry level Read the label for tick distance and contract count Example: "40T 6x" = 40 ticks from stop, sell 6 contracts maximum Step 5: Trading Execution Before Entering a Trade: Identify your stop loss level and input it into the indicator Choose your entry point by looking at the distance lines Note the contract count from the corresponding label Verify the risk amount matches your trading plan Execute your trade with the calculated position size Risk Management Features: Contract rounding: All position sizes are rounded down (never up) to ensure you don't exceed your risk limit Zero position filtering: Lines only show where position size is at least 1 contract Dual-sided display: Plan both long and short opportunities simultaneously
Penunjuk Pine Script®
oleh birdmanx
2
BANKNIFTY Contribution Table [GSK-VIZAG-AP-INDIA]1. Overview This indicator provides a real-time visual contribution table of the 12 constituent stocks in the BANKNIFTY index. It displays key metrics for each stock that help traders quickly understand how each component is impacting the index at any given moment. 2. Purpose / Trading Use Case The tool is designed for intraday and short-term traders who rely on index movement and its internal strength or weakness. By seeing which stocks are contributing positively or negatively, traders can: Confirm trend strength or divergence within the index. Identify whether a BANKNIFTY move is broad-based or driven by a few heavyweights. Detect reversals when individual components decouple from index direction. 3. Key Features and Logic Live LTP: Current price of each BANKNIFTY stock. Price Change: Difference between current LTP and previous day’s close. % Change: Percentage move from previous close. Weight %: Static weight of each stock within the BANKNIFTY index (user-defined). This estimates how much each stock contributes to the BANKNIFTY’s point change. Sorted View: The stocks are sorted by their weight (descending), so high-impact movers are always at the top. 4. User Inputs / Settings Table Position (tableLocationOpt): Choose where the table appears on the chart: top_left, top_right, bottom_left, or bottom_right. This helps position the table away from your price action or indicators. 5. Visual and Plotting Elements Table Layout: 6 columns Stock | Contribution | Weight % | LTP | Change | % Change Color Coding: Green/red for positive/negative price changes and contributions. Alternating background rows for better visibility. BANKNIFTY row is highlighted separately at the top. Text & Background Colors are chosen for both readability and direction indication. 6. Tips for Effective Use Use this table on 1-minute or 5-minute intraday charts to see near real-time market structure. Watch for: A few heavyweight stocks pulling the index alone (can signal weak internal breadth). Broad green/red across all rows (signals strong directional momentum). Combine this with price action or volume-based strategies for confirmation. Best used during market hours for live updates. 7. What Makes It Unique Unlike other contribution tables that show only static data or require paid feeds, this script: Updates in real time. Uses dynamic calculated contributions. Places BANKNIFTY at the top and presents the entire internal structure clearly. Doesn’t repaint or rely on lagging indicators. 8. Alerts / Additional Features No alerts are added in this version. (Optional: Alerts can be added to notify when a certain stock contributes above/below a threshold.) 9. Technical Concepts Used request.security() to pull both 1-minute and daily close data. Conditional color formatting based on price change direction. Dynamic table rendering using table.new() and table.cell(). Static weights assigned manually for BANKNIFTY stocks (can be updated if index weights change). 10. Disclaimer This script is intended for educational and informational purposes only. It does not constitute financial advice or a buy/sell recommendation. Users should test and validate the tool on paper or demo accounts before applying it to live trading. 📌 Note: Due to internet connectivity, data delays, or broker feeds, real-time values (LTP, change, contribution, etc.) may slightly differ from other platforms or terminals. Use this indicator as a supportive visual tool, not a sole decision-maker. Script Title: BANKNIFTY Contribution Table - Author: GSK-VIZAG-AP-INDIA Version: Final Public Release
Penunjuk Pine Script®
oleh prowelltraders
Position Size CalculatorIt calculates the risk per trade using two methods: Margin-Based (percentage of total Account Balance) or Equity-Based (percentage of Total Balance minus minimum balance). Displayed as a compact, customizable label on the main chart, it’s perfect for traders seeking quick, precise risk calculations. Key Features Two Calculation Options: Margin-Based: Risk as a percentage (0-5%) of your total account balance. Equity-Based: Risk as a percentage (0-50%) of (Total balance - Minimum balance). Flexible Risk Input: Manually enter any risk percentage with 0.01% precision (e.g., 1.75%). Customizable Display: Repositionable table (9 positions, e.g., top-right, middle-center). Four table sizes (XL, L, M, S) with text scaling (large, normal, small, tiny). Adjustable cell color, text color, and transparency Margin-Based Risk Calculation: Set “Total Margin” (e.g., $10,000). Enter “Risk Percentage (%)” (0 to 5%, e.g., 1.75%). Equity-Based Risk Calculation: Set “Total Equity” (e.g., $15,000). Set “Minimum Balance” (e.g., $5,000). Enter “Equity Risk Percentage (%)” (0 to 50%, e.g., 1.75%). Display Settings: Choose “Calculation Method” (Margin-Based or Equity-Based). Select “Table Position” (e.g., top_right). Select “Table Size” (XL, L, M, S; default M). Customize “Table Cell Color”, “Table Text Color”, and “Table Cell Transparency”.
Penunjuk Pine Script®
oleh charleyRT
Holy GrailThis is a long-only educational strategy that simulates what happens if you keep adding to a position during pullbacks and only exit when the asset hits a new All-Time High (ATH). It is intended for learning purposes only — not for live trading. 🧠 How it works: The strategy identifies pullbacks using a simple moving average (MA). When price dips below the MA, it begins monitoring for the first green candle (close > open). That green candle signals a potential bottom, so it adds to the position. If price goes lower, it waits for the next green candle and adds again. The exit happens after ATH — it sells on each red candle (close < open) once a new ATH is reached. You can adjust: MA length (defines what’s considered a pullback) Initial buy % (how much to pre-fill before signals start) Buy % per signal (after pullback green candle) Exit % per red candle after ATH 📊 Intended assets & timeframes: This strategy is designed for broad market indices and long-term appreciating assets, such as: SPY, NASDAQ, DAX, FTSE Use it only on 1D or higher timeframes — it’s not meant for scalping or short-term trading. ⚠️ Important Limitations: Long-only: The script does not short. It assumes the asset will eventually recover to a new ATH. Not for all assets: It won't work on assets that may never recover (e.g., single stocks or speculative tokens). Slow capital deployment: Entries happen gradually and may take a long time to close. Not optimized for returns: Buy & hold can outperform this strategy. No slippage, fees, or funding costs included. This is not a performance strategy. It’s a teaching tool to show that: High win rate ≠ high profitability Patience can be deceiving Many signals = long capital lock-in 🎓 Why it exists: The purpose of this strategy is to demonstrate market psychology and risk overconfidence. Traders often chase strategies with high win rates without considering holding time, drawdowns, or opportunity cost. This script helps visualize that phenomenon.
Strategi Pine Script®
oleh Intetics
Dynamic VWAP: Fair Value & Divergence SuiteDynamic VWAP: Fair Value & Divergence Suite Dynamic VWAP: Fair Value & Divergence Suite is a comprehensive tool for tracking contextual valuation, overextension, and potential reversal signals in trending markets. Unlike traditional VWAP that anchors to the start of a session or a fixed period, this indicator dynamically resets the VWAP anchor to the most recent swing low. This design allows you to monitor how far price has extended from the most recent significant low, helping identify zones of potential profit-taking or reversion. Deviation bands (standard deviations above the anchored VWAP) provide a clear visual framework to assess whether price is in a fair value zone (±1σ), moderately extended (+2σ), or in zones of extreme extension (+3σ to +5σ). The indicator also highlights contextual divergence signals, including slope deceleration, weak-volume retests, and deviation failures—giving you actionable confluence around potential reversal points. Because the anchor updates dynamically, this tool is particularly well suited for trend-following assets like BTC or stocks in sustained moves, where price rarely returns to deep negative deviation zones. For this reason, the indicator focuses on upside extension rather than symmetrical reversion to a long-term mean. 🎯 Key Features ✅ Dynamic Swing Low Anchoring Continuously re-anchors VWAP to the most recent swing low based on your chosen lookback period. Provides context for trend progression and overextension relative to structural lows. ✅ Standard Deviation Bands Plots up to +5σ deviation bands to visualize levels of overextension. Extended bands (+3σ to +5σ) can be toggled for simplicity. ✅ Conditional Zone Fills Colored background fills show when price is inside each valuation zone. Helps you immediately see if price is in fair value, moderately extended, or highly stretched territory. ✅ Divergence Detection VWAP Slope Divergence: Flags when price makes a higher high but VWAP slope decelerates. Low Volume Retest: Highlights weak re-tests of VWAP on low volume. Deviation Failure: Identifies when price reverts back inside +1σ after closing beyond +3σ. ✅ Volume Fallback If volume is unavailable, uses high-low range as a proxy. ✅ Highly Customizable Adjust lookbacks, show/hide extended bands, toggle fills, and enable or disable divergences. 🛠️ How to Use Identify Buy and Sell Zones Price in the fair value band (±1σ) suggests equilibrium. Reaching +2σ to +3σ signals increasing overextension and potential areas to take profits. +4σ to +5σ zones can be used to watch for exhaustion or mean-reversion setups. Monitor Divergence Signals Use slope divergence and deviation failures to look for confluence with overextension. Low volume retests can flag rallies lacking conviction. Adapt Swing Lookback 30–50 bars: Faster re-anchoring for swing trading. 75–100 bars: More stable anchors for longer-term trends. 🧭 Best Practices Combine the anchored VWAP with higher timeframe structure. Confirm signals with other tools (momentum, volume profiles, or trend filters). Use extended deviation zones as context, not as standalone signals. ⚠️ Disclaimer This script is for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security or asset. Always do your own research and consult a qualified financial professional before making any trading decisions. Past performance does not guarantee future results.
Penunjuk Pine Script®
oleh RWCS_LTD
Omori Law Recovery PhasesWhat is the Omori Law? Originally a seismological model, the Omori Law describes how earthquake aftershocks decay over time. It follows a power law relationship: the frequency of aftershocks decreases roughly proportionally to 1/(t+c)^p, where: t = time since the main shock c = time offset constant p = power law exponent (typically around 1.0) Application to the markets Financial markets experience "aftershocks" similar to earthquakes: Market Crashes as Main Shocks: Major market declines (crashes) represent the initial shock event. Volatility Decay: After a crash, market volatility typically declines following a power law pattern rather than a linear or exponential one. Behavioral Components: The decay pattern reflects collective market psychology - initial panic gives way to uncertainty, then stabilization, and finally normalization. The Four Recovery Phases The Omori decay pattern in markets can be divided into distinct phases: Acute Phase: Immediately after the crash, characterized by extreme volatility, panic selling, and sharp reversals. Trading is hazardous. Reaction Phase: Volatility begins decreasing, but markets test previous levels. False rallies and retests of lows are common. Repair Phase: Structure returns to the market. Volatility approaches normal levels, and traditional technical analysis becomes more reliable. Recovery Phase: The final stage where market behavior normalizes completely. The impact of the original shock has fully decayed. Why It Matters for Traders Understanding where the market stands in this recovery cycle provides valuable context: Risk Management: Adjust position sizing based on the current phase Strategy Selection: Different strategies work in different phases Psychological Preparation: Know what to expect based on the phase Time Horizon Guidance: Each phase suggests appropriate time frames for trading
Penunjuk Pine Script®
oleh HenriqueCentieiro
IU Fibonacci Levels For IntradayDESCRIPTION This indicator draws intraday Fibonacci levels from the opening price of the day using percentage-based retracements. It helps traders identify potential intraday support and resistance zones derived from the day’s opening bias. The levels are dynamically calculated and displayed with optional labels and customizable colors, making it an effective tool for both breakout and mean-reversion intraday strategies. USER INPUTS Direction Of The Level Choose whether to show Upside, Downside, or Both level sets based on your directional bias. Show Labels of Levels Option to enable or disable text labels displaying Fibonacci values and prices. Individual Level Toggles & Colors You can choose to show or hide each of the following Fibonacci levels and set their respective colors: * 0.236 * 0.328 * 0.500 * 0.618 * 0.786 * 1.000 INDICATOR LOGIC On the first bar of the session, the opening price is captured. Fibonacci levels are then calculated above and below this open using percentage multipliers (for example, day\_open + (day\_open \* 0.236%) for the 0.236 level). Depending on the selected direction, upside and/or downside levels are plotted. Filled zones are drawn between levels to visually highlight key price zones. Optionally, each level can be labeled with its Fibonacci value and price. WHY IT IS UNIQUE Unlike traditional swing-based Fibonacci retracements, this tool uses the day’s opening price as an anchor, specifically designed for intraday traders. Allows traders to quickly visualize micro-support and resistance levels that adapt every day. Highly customizable and easy to read, with filled level bands for better zone recognition. Works independently of indicators like RSI, MACD, or moving averages – purely based on price action logic. HOW USER CAN BENEFIT FROM IT Spot precise intraday reversal zones or breakout regions. Combine with price action or volume analysis for smarter entries. Filter trades by choosing directional bias (Up Site, Down Site, or Both). Set profit targets or stop-losses based on Fibonacci bands. Works great for scalpers, day traders, and even short-term swing traders looking to align with opening price momentum. Disclaimer This indicator is not financial advice, it's for educational purposes only highlighting the power of coding( pine script) in TradingView, I am not a SEBI-registered advisor. Trading and investing involve risk, and you should consult with a qualified financial advisor before making any trading decisions. I do not guarantee profits or take responsibility for any losses you may incur.
Penunjuk Pine Script®
oleh Shivam_Mandrai
2
Normalized EMA Cycle (NEC)Normalized EMA Cycle (NEC) The Normalized EMA Cycle (NEC) is a versatile momentum and trend reversal tool designed to detect high-probability turning points and gauge the strength of price cycles. It combines fast and slow Exponential Moving Averages (EMAs), dynamic normalization, and adaptive transparency to create clear, intuitive reversal signals on the chart. 🔹 How It Works EMA Differencing The NEC calculates the difference between a fast EMA and a slower EMA: Fast EMA Length (default 6) captures short-term momentum. Slow EMA Length (default 16) tracks broader trends. The slope of this difference identifies accelerating or decelerating momentum. Normalization to 0–100 Scale The raw EMA difference is scaled relative to the recent Alpha Period range (default 6 bars). This transforms the value into a normalized oscillator ranging between 0 and 100. A 3-period Hull Moving Average (HMA) smooths this series to reduce noise. Overbought and Oversold Thresholds By default: Overbought Level: 75 Oversold Level: 25 Crossovers of these levels are used to detect potential reversals. Adaptive Alpha Adjustment The normalized value is transformed into an “Alpha Schaff” line, dynamically shifting between price and normalized cycles. This helps the model adjust to different volatility regimes. Trend Reversal Logic Bullish Reversal: Normalized oscillator crosses above the Oversold Level. EMA difference slope is positive. Bearish Reversal: Normalized oscillator crosses below the Overbought Level. EMA difference slope is negative. Additional confirmation comes when price crosses the Alpha Schaff line in the direction of momentum. Dynamic Confidence Visualization The indicator calculates a trend confidence score based on the normalized separation of the EMAs. The transparency of reversal markers dynamically adjusts: Strong trends = more opaque signals Weak trends = more transparent signals 🔹 How to Use ✅ Entries Long Signal: Aqua upward label appears below a bar. Conditions: Bullish reversal or price crossing above Alpha Schaff Normalized slope is rising Short Signal: Fuchsia downward label appears above a bar. Conditions: Bearish reversal or price crossing below Alpha Schaff Normalized slope is falling ✅ Trend Strength The less transparent the signal marker, the more significant the trend. ✅ Customization Use the inputs to fine-tune sensitivity: Shorter EMAs: Faster signals Longer EMAs: Smoother trends Alpha Period: Adjusts the lookback range for normalization 🟢 Best Practices NEC is best used in combination with other trend confirmation tools (e.g., price structure, volume, or higher timeframe EMAs). Avoid relying on signals in extremely low-volume or choppy ranges. ⚠️ Disclaimer This script is intended for educational purposes only and does not constitute financial advice. Trading involves substantial risk, and you should consult your financial advisor before making any investment decisions.
Penunjuk Pine Script®
oleh RWCS_LTD
ETF Leverage VerificationDo leveraged ETFs really return what they promise? Do they return the exact 2x or 3x? Or a slightly different multiple? How much do they deviate from the promised leverage multiples? Do these deviations impact investors in a positive or negative manner? These are the questions that I want to answer with this indicator. The ETF Leverage Verification indicator challenges the conventional understanding of leveraged ETFs by measuring how they actually perform versus their theoretical targets. Instead of assuming leveraged ETFs perfectly track their target multiple, this indicator quantifies the real-world behavior by comparing the expected returns versus the actual results on every trading day. Key Features Measures actual versus expected performance of leveraged ETFs Tracks deviation patterns across thousands of trading days Identifies asymmetric behavior in up versus down markets Quantifies beneficial "cushioning effect" during market declines Provides statistical summary of performance patterns Works with any leverage factor (2x, 3x, -1x, etc.) Compatible with all leveraged ETFs (equity, bond, commodity, volatility) How to Use the Indicator Enter the Expected Leverage Factor (default: 2.0) Select the Base Asset (underlying index, e.g., SPX) Select the Leveraged Asset (leveraged ETF, e.g., SSO) Understanding the Results Green markers: Days when the ETF outperformed its expected multiple Red markers: Days when the ETF underperformed its expected multiple Data Table: Positive Deviations: Count of days with better-than-expected performance Negative Deviations: Count of days with worse-than-expected performance Avg Deviation: Average magnitude of deviation from expected returns Frequency Skew: Difference between beneficial deviations in down vs. up markets Impact: Overall assessment of pattern benefit to investors Summary Label: Percentage of positive deviations in up and down markets Total sample size for statistical significance Key Patterns to Look For Positive Deviation in Negative Days: This occurs when a leveraged ETF falls less than expected during market declines. For example, if SPX falls 1% and a 2x ETF falls only 1.8% (instead of the expected 2%), this creates a +0.2% deviation. This pattern is beneficial as it provides downside protection. Negative Deviation in Positive Days: This happens when a leveraged ETF rises less than expected during market advances. For example, if SPX rises 1% and a 2x ETF rises only 1.9% (instead of the expected 2%), this creates a -0.1% deviation. This pattern reduces upside performance. Frequency Skew: The most critical metric that measures how much more frequently beneficial deviations occur in down markets compared to up markets. A higher positive skew indicates a stronger asymmetric pattern that helps long-term performance. Mathematical Background The indicator computes the deviation between expected and actual performance: Deviation = Actual Return - Expected Return Where: Expected Return = Base Asset Return × Leverage Factor The deviation is then categorized into four possible outcomes: Positive deviation on positive market days Negative deviation on positive market days Positive deviation on negative market days Negative deviation on negative market days In short, more positive deviations are good for investors. Please feel free to criticize. I'm happy to improve the indicator.
Penunjuk Pine Script®
oleh HenriqueCentieiro