Kootch EMA MapKootch EMA overlays the 200 EMA from M1, M5, M15, M30, H1, H4, and D1 on any chart so you always see where higher and lower-timeframe trend gravity actually is. It also builds an optional Fib channel between the most extreme MTF 200 EMAs (min/max), giving you clean intrachannel targets and confluence zones.
What it does
• Plots seven 200 EMAs (M1 → D1) simultaneously via MTF pulls
• Color/weight hierarchy: thicker lines = higher timeframe (clear priority)
• Right-edge TF tags (M1, M5, … D1) so you know exactly what you’re looking at
• Optional Fib levels between min/max MTF 200 EMAs (0 → 1 band) for entries, adds, and take-profit scaling
Why traders use it
• Immediate read on trend alignment vs. chop across timeframes
• Mean-reversion & continuation cues when price stretches from/returns to key EMAs
• Level stacking: use M30/H1/H4/D1 as bias, trade entries around lower-TF reactions
Inputs
• EMA Length (default 200)
• Label offset (push tags off the last bar)
• Show Fib channel toggle + color control
How I use it
• Bias from D1/H4/H1; execution from M5/M15.
• Fade or follow at Fib 0.382 / 0.618 inside the EMA envelope; scale out near Fib 1.0 into HTF EMAs.
• Skip trades when EMAs are braided and distances are compressed.
Notes
• Works on any symbol/timeframe; all TF EMAs are requested explicitly.
• This is a map, not a crystal ball: combine with your playbook (structure breaks, FVGs, liquidity, volume).
Cari dalam skrip untuk "liquidity"
ATR: Body % + Ranges and AnomaliesATR: Body % + Ranges and Anomalies
This indicator provides a dual analysis of price bars to help you better understand market dynamics and volatility. It combines two powerful concepts into one tool: a candle body percentage and a range analysis with an anomaly-excluding average.
Key Features:
1. Candle Body Percentage
This feature plots the size of the candle's body as a percentage of its total high-low range.
A high percentage (e.g., above the 50% gray line) indicates strong, directional movement. The more solid the body is relative to its wicks, the more conviction is behind that move.
The 100% red line marks "Marubozu" candles—bars with no wicks, showing absolute control by buyers or sellers.
2. Range Analysis with Anomalies
This is a unique part of the indicator that helps you identify and understand normal vs. abnormal volatility.
Custom SMA: It calculates an average range of the last N bars, but it smartly excludes "anomalous" bars (spikes or unusually small ranges) from the calculation. This gives you a more reliable baseline for normal volatility.
Anomaly Detection: Bars are colored differently based on their range:
Blue: Small anomalies (range less than 0.5 * ATR). These often occur during periods of low liquidity or indecision.
Red: Large anomalies (range greater than 1.8 * ATR). These can signal a sudden burst of volatility, breakout events, or capitulation.
ATR Range % Label: The label on the chart shows the current bar's range as a percentage of the custom SMA. This tells you how much larger or smaller the current bar's range is compared to a clean average.
How to Use:
Spotting Trends: Use the Body % to confirm the strength of a trend. A series of bars with high body percentages can indicate a strong, healthy trend.
Identifying Volatility: Use the Range Analysis to find areas of interest. A large red anomaly bar could signal a significant event, while a series of blue anomalies might suggest the market is in a tight consolidation before a breakout.
Contextual Analysis: The combination of these tools can provide powerful context. For example, a bar with a high Body % and a red anomaly color suggests a strong, volatile move that could be a turning point or the start of a major trend.
Experiment with the input settings to fine-tune the ATR and SMA periods for different timeframes and assets.
EAOBS by MIGVersion 1
1. Strategy Overview Objective: Capitalize on breakout movements in Ethereum (ETH) price after the Asian open pre-market session (7:00 PM–7:59 PM EST) by identifying high and low prices during the session and trading breakouts above the high or below the low.
Timeframe: Any (script is timeframe-agnostic, but align with session timing).
Session: Pre-market session (7:00 PM–7:59 PM EST, adjustable for other time zones, e.g., 12:00 AM–12:59 AM GMT).
Risk-Reward Ratios (R:R): Targets range from 1.2:1 to 5.2:1, with a fixed stop loss.
Instrument: Ethereum (ETH/USD or ETH-based pairs).
2. Market Setup Session Monitoring: Monitor ETH price action during the pre-market session (7:00 PM–7:59 PM EST), which aligns with the Asian market open (e.g., 9:00 AM–9:59 AM JST).
The script tracks the highest high and lowest low during this session.
Breakout Triggers: Buy Signal: Price breaks above the session’s high after the session ends (7:59 PM EST).
Sell Signal: Price breaks below the session’s low after the session ends.
Visualization: The session is highlighted on the chart with a white background.
Horizontal lines are drawn at the session’s high and low, extended for 30 bars, along with take-profit (TP) and stop-loss (SL) levels.
3. Entry Rules Long (Buy) Entry: Enter a long position when the price breaks above the session’s high price after 7:59 PM EST.
Entry price: Just above the session high (e.g., add a small buffer, like 0.1–0.5%, to avoid false breakouts, depending on volatility).
Short (Sell) Entry: Enter a short position when the price breaks below the session’s low price after 7:59 PM EST.
Entry price: Just below the session low (e.g., subtract a small buffer, like 0.1–0.5%).
Confirmation: Use a candlestick close above/below the breakout level to confirm the entry.
Optionally, add volume confirmation or a momentum indicator (e.g., RSI or MACD) to filter out weak breakouts.
Position Size: Calculate position size based on risk tolerance (e.g., 1–2% of account per trade).
Risk is determined by the stop-loss distance (10 points, as defined in the script).
4. Exit Rules Take-Profit Levels (in points, based on script inputs):TP1: 12 points (1.2:1 R:R).
TP2: 22 points (2.2:1 R:R).
TP3: 32 points (3.2:1 R:R).
TP4: 42 points (4.2:1 R:R).
TP5: 52 points (5.2:1 R:R).
Example for Long: If session high is 3000, TP levels are 3012, 3022, 3032, 3042, 3052.
Example for Short: If session low is 2950, TP levels are 2938, 2928, 2918, 2908, 2898.
Strategy: Scale out of the position (e.g., close 20% at TP1, 20% at TP2, etc.) or take full profit at a preferred TP level based on market conditions.
Stop-Loss: Fixed at 10 points from the entry.
Long SL: Session high - 10 points (e.g., entry at 3000, SL at 2990).
Short SL: Session low + 10 points (e.g., entry at 2950, SL at 2960).
Trailing Stop (Optional):After reaching TP2 or TP3, consider trailing the stop to lock in profits (e.g., trail by 10–15 points below the current price).
5. Risk Management per Trade: Limit risk to 1–2% of your trading account per trade.
Calculate position size: Account Size × Risk % ÷ (Stop-Loss Distance × ETH Price per Point).
Example: $10,000 account, 1% risk = $100. If SL = 10 points and 1 point = $1, position size = $100 ÷ 10 = 0.1 ETH.
Daily Risk Limit: Cap daily losses at 3–5% of the account to avoid overtrading.
Maximum Exposure: Avoid taking both long and short positions simultaneously unless using separate accounts or strategies.
Volatility Consideration: Adjust position size during high-volatility periods (e.g., major news events like Ethereum upgrades or macroeconomic announcements).
6. Trade Management Monitoring :Watch for breakouts after 7:59 PM EST.
Monitor price action near TP and SL levels using alerts or manual checks.
Trade Duration: Breakout lines extend for 30 bars (script parameter). Close trades if no TP or SL is hit within this period, or reassess based on market conditions.
Adjustments: If the market shows strong momentum, consider holding beyond TP5 with a trailing stop.
If the breakout fails (e.g., price reverses before TP1), exit early to minimize losses.
7. Additional Considerations Market Conditions: The 7:00 PM–7:59 PM EST session aligns with the Asian market open (e.g., Tokyo Stock Exchange open at 9:00 AM JST), which may introduce higher volatility due to Asian trading activity.
Avoid trading during low-liquidity periods or extreme volatility (e.g., major crypto news).
Check for upcoming events (e.g., Ethereum network upgrades, ETF decisions) that could impact price.
Backtesting: Test the strategy on historical ETH data using the session high/low breakouts for the 7:00 PM–7:59 PM EST window to validate performance.
Adjust TP/SL levels based on backtest results if needed.
Broker and Fees: Use a low-fee crypto exchange (e.g., Binance, Kraken, Coinbase Pro) to maximize R:R.
Account for trading fees and slippage in your position sizing.
Time zone Adjustment: Adjust session time input for your time zone (e.g., "0000-0059" for GMT).
Ensure your trading platform’s clock aligns with the script’s time zone (default: America/New_York).
8. Example Trade Scenario: Session (7:00 PM–7:59 PM EST) records a high of 3050 and a low of 3000.
Long Trade: Entry: Price breaks above 3050 (e.g., enter at 3051).
TP Levels: 3063 (TP1), 3073 (TP2), 3083 (TP3), 3093 (TP4), 3103 (TP5).
SL: 3040 (3050 - 10).
Position Size: For a $10,000 account, 1% risk = $100. SL = 11 points ($11). Size = $100 ÷ 11 = ~0.09 ETH.
Short Trade: Entry: Price breaks below 3000 (e.g., enter at 2999).
TP Levels: 2987 (TP1), 2977 (TP2), 2967 (TP3), 2957 (TP4), 2947 (TP5).
SL: 3010 (3000 + 10).
Position Size: Same as above, ~0.09 ETH.
Execution: Set alerts for breakouts, enter with limit orders, and monitor TPs/SL.
9. Tools and Setup Platform: Use TradingView to implement the Pine Script and visualize breakout levels.
Alerts: Set price alerts for breakouts above the session high or below the session low after 7:59 PM EST.
Set alerts for TP and SL levels.
Chart Settings: Use a 1-minute or 5-minute chart for precise session tracking.
Overlay the script to see high/low lines, TP levels, and SL levels.
Optional Indicators: Add RSI (e.g., avoid overbought/oversold breakouts) or volume to confirm breakouts.
10. Risk Warnings Crypto Volatility: ETH is highly volatile; unexpected news can cause rapid price swings.
False Breakouts: Breakouts may fail, especially in low-volume sessions. Use confirmation signals.
Leverage: Avoid high leverage (e.g., >5x) to prevent liquidation during volatile moves.
Session Accuracy: Ensure correct session timing for your time zone to avoid misaligned entries.
11. Performance Tracking Journaling :Record each trade’s entry, exit, R:R, and outcome.
Note market conditions (e.g., trending, ranging, news-driven).
Review: Weekly: Assess win rate, average R:R, and adherence to the plan.
Monthly: Adjust TP/SL or session timing based on performance.
ATR x2 AUTODescription:
This indicator automatically plots ATR-based horizontal levels for each of the most recent candles, helping traders visualize potential stop-loss hunting zones, breakout areas, or price reaction points.
It works by taking the Average True Range (ATR) over a customizable period and multiplying it by a user-defined factor (default: ×2). For each of the last N candles (default: 5), it calculates and draws:
Below green candles (bullish) → A horizontal line placed ATR × multiplier below the candle’s low.
Above red candles (bearish) → A horizontal line placed ATR × multiplier above the candle’s high.
Doji candles → No line is drawn.
Each line extends to the right indefinitely, allowing traders to monitor how price reacts when returning to these ATR-based levels. This makes the tool useful for:
Identifying likely stop-loss clusters below bullish candles or above bearish candles.
Anticipating liquidity sweeps and fakeouts.
Supporting breakout or reversal strategies.
Key Features:
Customizable ATR length, multiplier, number of recent candles, and line thickness.
Separate colors for bullish and bearish candle levels.
Automatic real-time updates for each new bar.
Clean overlay on the main price chart.
Inputs:
ATR Length → Period used for ATR calculation.
Multiplier → Factor applied to the ATR distance.
Number of Candles → How many recent candles to track.
Line Thickness and Colors → Full visual customization.
Usage Tip:
These levels can be combined with key market structure points such as support/resistance, trendlines, or the 200 EMA to anticipate high-probability price reactions.
Savages Supply and Demand LevelsThis supply and demand indicator in my opinion is one of the best S&D indicators on trading view. It is clean, organized and just simple. I have spent thousands of hours determining the best and most reliable ways to identify supply and demand, on every time frame! I am going to explain exactly what I look for.
When looking for a supply level meaning, there is potential for more supply of the following stock to hit the marker, what does that mean? People are going to sell. SO, it represents possible sell ordered at that supply level. So lets get into the grit of this, there are two candles that form when a supply level is formed. The first candle needs to be green, it will have a high, a low , an open and a close. The specifics come into play with the next candle which needs to be red, that candle can NOT break the previous green candles high, and needs to close below the previous candles low. THATS IT! That is a supply level. Now, for a demand level, its the same thing just switched, we need a red candle, that will have a high,low, open and a close. Same thing now, the next candle is going to be green, that green candle can NOT break that previous red candles low and needs to close above that previous red candles high. THATS A DEMAND!
I have spent countless hours back testing and studying this, I am extremely confident that this will be a game changer for whoever uses this. I have marked different types of opening and closes and highs and lows and this specific type of setup has worked countless times for me, the only time it will not work is when there is a liquidity sweep or some sort of news where it causes the price action to swing several points. Also do not use only one time frame and only this indicator, try to use some fair value gap levels and break of structure indicators, there are really good ones on here. I have also built the indicator to get rid of supply and demand levels that have already been hit so you always have a clean and fresh supply and demand level that has not been eaten into yet. I also threw some clean labels on there so it is easy to identify. So once price action hits that supply or demand level, it goes away, it either worked or it gets invalidated.
I hope you enjoy!
Not financial advice
-Savage
ALMA & UT Bot Confluence StrategyALMA & UT Bot Confluence Strategy
This is a comprehensive trend-following and momentum strategy designed to identify high-probability trade setups by combining multiple layers of confirmation. It is built around an ALMA (Arnaud Legoux Moving Average) and a long-term EMA, and then enhances signal quality with the popular UT Bot indicator, a Volume Filter, and an adaptive hold mechanism.
The primary goal of this strategy is to filter out market noise, avoid low liquidity traps, and provide more robust and selective trading logic by adapting its timing to changing market volatility.
Key Features and How It Works
This strategy is not a simple crossover system. An entry signal is generated by the confluence of only a few conditions:
Underlying Trend and Signal Engine:
ALMA (Arnaud Legoux Moving Average): Provides a responsive, low-latency signal line for entries. EMA (Exponential Moving Average): A longer-term EMA acts as a primary trend filter, ensuring trades are executed only in line with the overall market trend.
Confirmation Layer:
UT Bot Confirmation: A trade is considered valid only when the UT Bot indicator provides a relevant buy or sell signal. This acts as a strong secondary confirmation, reducing false entries.
Advanced Filters for Signal Quality:
Volume Filter: This is an important safety mechanism that prevents trades from being executed in low-volume, illiquid markets where price action can be erratic and unreliable.
Momentum Filter (ADX and RSI): The strategy uses the ADX to check for sufficient market momentum and the RSI to ensure it doesn't enter overbought/oversold zones.
Volatility Filter (Bollinger Bands): This helps prevent entries when the price deviates too far from its average, preventing "buying at the top" or "selling at the bottom." Adaptive Timing (Dynamic Cool-Down):
Instead of a fixed waiting period between trades, this strategy uses a dynamic cooling-down period based on the ATR. It automatically waits longer during periods of high volatility (to prevent volatility) and becomes more responsive in calmer markets. How to Use This Strategy:
Long Entry (BUY): When all bullish conditions align, a green "BUY" triangle appears below the price.
Short Entry (SELL): When all bearish conditions align, a red "SELL" triangle appears above the price.
Trend Visualization: The chart background is color-coded according to UT Bot's trend direction (Green for an uptrend, Red for a downtrend), allowing for at-a-glance market analysis.
Double Exit Strategy Options
You have full control over how you exit trades:
Classic SL/TP: Use a standard Stop-Loss and Take-Profit order based on ATR (Average True Range) multipliers. UT Bot Trailing Stop (Recommended): A dynamic exit mechanism that follows the price allows your winning trades to catch up to larger trends while protecting your profits.
Disclaimer
This script is for educational purposes only and should not be construed as financial advice. Past performance is not indicative of future results. All trades involve risk. Before risking any capital, we strongly recommend extensively backtesting this strategy across your preferred assets and timeframes to understand its behavior and find settings that suit your personal trading style.
The author recommends using this strategy with Heikin-Ashi candlesticks. Using this method will significantly increase the strategy's trading success rate and profitability in backtests.
You should change the settings according to your preferred chart time range. You can find the best value for you by observing the value changes you make on the chart.
Fractal Suite: MTF Fractals + BOS/CHOCH + OB + FVG + Targets Kese Way
Fractals (Multi-Timeframe): Automatically detects both current-timeframe and higher-timeframe Bill Williams fractals, with customizable left/right bar settings.
Break of Structure (BOS) & CHoCH: Marks structural breaks and changes of character in real time.
Liquidity Sweeps: Identifies sweep patterns where price takes out a previous swing high/low but closes back within range.
Order Blocks (OB): Highlights the last opposite candle before a BOS, with customizable extension bars.
Fair Value Gaps (FVG): Finds 3-bar inefficiencies with a minimum size filter.
Confluence Zones: Optionally require OB–FVG overlap for high-probability setups.
Entry, Stop, and Targets: Automatically calculates entry price, stop loss, and up to three take-profit targets based on risk-reward ratios.
Visual Dashboard: Mini on-chart table summarizing structure, last swing points, and settings.
Alerts: Set alerts for new fractals, BOS events, and confluence-based trade setups.
Linh's Anomaly Radar v2What this script does
It’s an event detector for price/volume anomalies that often precede or confirm moves.
It watches a bunch of patterns (Wyckoff tests, squeezes, failed breakouts, turnover bursts, etc.), applies robust z-scores, optional trend filters, cooldowns (to avoid spam), and then fires:
A shape/label on the bar,
A row in the mini panel (top-right),
A ready-made alertcondition you can hook into.
How to add & set up (TradingView)
Paste the script → Save → Add to chart on Daily first (works on any TF).
Open Settings → Inputs:
General
• Use Robust Z (MAD): more outlier-resistant; keep on.
• Z Lookback: 60 bars is ~3 months; bump to 120 for slower regimes.
• Cooldown: min bars to wait before the same signal can fire again (default 5).
• Use trend filter: if on, “bullish” signals only fire above SMA(tfLen), “bearish” below.
Thresholds: fine-tune sensitivity (defaults are sane).
To create alerts: Right-click chart → Add alert
Condition: Linh’s Anomaly Radar v2 → choose a specific signal or Composite (Σ).
Options: “Once per bar close” (recommended).
Customize message if you want ticker/timeframe in your phone push.
The mini panel (top-right)
Signal column: short code (see cheat sheet below).
Fired column: a dot “•” means that on the latest bar this signal fired.
Score (right column): total count of signals that fired this bar.
Σ≥N shows your composite threshold (how many must fire to trigger the “Composite” alert).
Shapes & codes (what’s what)
Code Name (category) What it’s looking for Why it matters
STL Stealth Volume z(volume)>5 & ** z(return)
EVR Effort vs Result squeeze z(vol)>3 & z(TR)<−0.5 Heavy effort, tiny spread → absorption
TGV Tight+Heavy (HL/ATR)<0.6 & z(vol)>3 Tight bar + heavy tape → pro activity
CLS Accumulation cluster ≥3 of last 5 bars: up, vol↑, close near high Classic accumulation footprint
GAP Open drive failure Big gap not filled (≥80%) & vol↑ One-sided open stalls → fade risk
BB↑ BB squeeze breakout Squeeze (z(BBWidth)<−1.3) → close > upperBB & vol↑ Regime shift with confirmation
ER↑ Effort→Result inversion Down day on vol then next bar > prior high Demand overwhelms supply
OBV OBV divergence OBV slope up & ** z(ret20)
WER Wide Effort, Opposite Result z(vol)>3, close+1 Selling into strength / distribution
NS No-Supply (Wyckoff) Down bar, HL<0.6·ATR, vol << avg Sellers absent into weakness
ND No-Demand (Wyckoff) Up bar, HL<0.6·ATR, vol << avg Buyers absent into strength
VAC Liquidity Vacuum z(vol)<−1.5 & ** z(ret)
UTD UTAD (failed breakout) Breaks swing-high, closes back below, vol↑ Stop-run, reversal risk
SPR Spring (failed breakdown) Breaks swing-low, closes back above, vol↑ Bear trap, reversal risk
PIV Pocket Pivot Up bar; vol > max down-vol in lookback Quiet base → sudden demand
NR7 Narrow Range 7 + Vol HL is 7-bar low & z(vol)>2 Coiled spring with participation
52W 52-wk breakout quality New 52-wk close high + squeeze + vol↑ High-quality breakouts
VvK Vol-of-Vol kink z(ATR20,200)>0.5 & z(ATR5,60)<0 Long-vol wakes up, short-vol compresses
TAC Turnover acceleration SMA3 vol / SMA20 vol > 1.8 & muted return Participation surging before move
RBd RSI Bullish div Price LL, RSI HL, vol z>1 Exhaustion of sellers
RS↑ RSI Bearish div Price HH, RSI LH, vol z>1 Exhaustion of buyers
Σ Composite Count of all fired signals ≥ threshold High-conviction bar
Placement:
Triangles up (below bar) → bullish-leaning events.
Triangles down (above bar) → bearish-leaning events.
Circles → neutral context (VAC, VvK, Composite).
Key inputs (quick reference)
General
Use Robust Z (MAD): keep on for noisy tickers.
Z Lookback (lenZ): 60 default; 120 if you want fewer alerts.
Trend filter: when on, bullish signals require close > SMA(tfLen), bearish require <.
Cooldown: prevents repeated firing of the same signal within N bars.
Phase-1 thresholds (core)
Stealth: vol z > 5, |ret z| < 1.
EVR: vol z > 3, TR z < −0.5.
Tight+Heavy: (HL/ATR) < 0.6, vol z > 3.
Cluster: window=5, min=3 strong bars.
GapFail: gap/ATR ≥1.5, fill <80%, vol z > 2.
BB Squeeze: z(BBWidth)<−1.3 then breakout with vol z > 2.
Eff→Res Up: prev bar heavy down → current bar > prior high.
OBV Div: OBV uptrend + |z(ret20)|<0.3.
Phase-2 thresholds (extras)
WER: vol z > 3, close1.
No-Supply/No-Demand: tight bar & very light volume vs SMA20.
Vacuum: vol z < −1.5, |ret z|>1.5.
UTAD/Spring: swing lookback N (default 20), vol z > 2.
Pocket Pivot: lookback for prior down-vol max (default 10).
NR7: 7-bar narrowest range + vol z > 2.
52W Quality: new 52-wk high + squeeze + vol z > 2.
VoV Kink: z(ATR20,200)>0.5 AND z(ATR5,60)<0.
Turnover Accel: SMA3/SMA20 > 1.8 and |ret z|<1.
RSI Divergences: compare to n bars back (default 14).
How to use it (playbooks)
A) Daily scan workflow
Run on Daily for your VN watchlist.
Turn Composite (Σ) alert on with Σ≥2 or ≥3 to reduce noise.
When a bar fires Σ (or a fav combo like STL + BB↑), drop to 60-min to time entries.
B) Breakout quality check
Look for 52W together with BB↑, TAC, and OBV.
If WER/ND appear near highs → downgrade the breakout.
C) Spring/UTAD reversals
If SPR fires near major support and RBd confirms → long bias with stop below spring low.
If UTD + WER/RS↑ near resistance → short/fade with stop above UTAD high.
D) Accumulation basing
During bases, you want CLS, OBV, TGV, STL, NR7.
A pocket pivot (PIV) can be your early add; manage risk below base lows.
Tuning tips
Too many signals? Raise stealthVolZ to 5.5–6, evrVolZ to 3.5, use Σ≥3.
Fast movers? Lower bbwZthr to −1.0 (less strict squeeze), keep trend filter on.
Illiquid tickers? Keep MAD z-scores on, increase lookbacks (e.g., lenZ=120).
Limitations & good habits
First lenZ bars on a new symbol are less reliable (incomplete z-window).
Some ideas (VWAP magnet, close auction spikes, ETF/foreign flows, options skew) need intraday/external feeds — not included here.
Pine can’t “screen” across the whole market; set alerts or cycle your watchlist.
Quick troubleshooting
Compilation errors: make sure you’re on Pine v6; don’t nest functions in if blocks; each var int must be declared on its own line.
No shapes firing: check trend filter (maybe price is below SMA and you’re waiting for bullish signals), and verify thresholds aren’t too strict.
The Daily Bias Dashboard📜 Overview
This indicator is a powerful statistical tool designed to provide traders with a probable Daily Bias based on historical price action. It is built upon the concepts of Quarterly Theory, which divides the 24-hour trading day into 4 distinct sessions to analyze market behavior.
This tool analyzes how the market has behaved in the past to give you a statistical edge. It answers the question: "Based on the last X number of days, what is the most likely way the price will move during the Newyork AM & PM Sessions based on Asian & London Sessions?"
⚙️ How It Works
The indicator divides the 24-hour day (based on the America/New_York timezone) into two 12-hour halves:
First Half - 12 Hour Candle: The Accumulation/Manipulation or Asian/London Sessions (6 PM to 6 AM NY Time)
This period covers the Asian session and the start of the London session.
The indicator's only job here is to identify the highest high and lowest low of this 12-hour block, establishing the initial daily range.
Second Half - 12 Hour Candle: The Distribution/Continuation or NY AM/PM Sessions (6 AM to 6 PM NY Time)
This period covers the main London session and the full New York session.
The indicator actively watches to see if, and in what order, the price breaks out of the range established in Session 1 (FIrst Half of the day).
By tracking this behavior over hundreds of days, the indicator compiles statistics on four possible daily scenarios.
📊 The Four Scenarios & The Dashboard
The indicator presents its findings in a clean, easy-to-read dashboard, calculating the historical probability of each of the following scenarios:
↓ Low, then ↑ High: The price first breaks the low of Session 1 (often a liquidity sweep or stop hunt) before reversing to break the high of Session 1. This suggests a "sweep and reverse" bullish day.
↑ High, then ↓ Low: The price first breaks the high of Session 1 before reversing to break the low of Session 1. This suggests a "sweep and reverse" bearish day.
One-Sided Breakout: The price breaks only one of the boundaries (either the high or the low) and continues in that direction without taking the other side. This indicates a strong, trending day.
No Breakout (Inside Bar): The price fails to break either the high or the low of Session 1, remaining contained within its range. This indicates a day of consolidation and low volatility.
🧠 How to Use This Indicator
This is a confluence tool, not a standalone trading system. Its purpose is to help you frame a high-probability narrative for the trading day.
Establish a Bias: Start checking the dashboard at 06:00 AM Newyork time, which is the start of next half day trading session. If one scenario has a significantly higher probability (e.g., "One-Sided Breakout" at 89%), you have a statistically-backed directional bias in the direction of Breakout.
🔧 Features & Settings
Historical Days to Analyze: Set how many past days the indicator should use for its statistical analysis (default is 500).
Session Timezone : The calculation is locked to America/New_York as it is central to the Quarterly Theory concept, but this setting ensures correct alignment.
Dashboard Display: Fully customize the on-screen table, including its position and text size, or hide it completely.
⚠️ Important Notes
For maximum accuracy, use this indicator on hourly (H1) or lower timeframes.
The statistical probabilities are based on past performance and are not a guarantee of future results.
This tool is designed to sharpen your analytical skills and provide a robust, data-driven framework for your daily trading decisions. Use it to build confidence in your directional bias and to better understand the rhythm of the market.
Disclaimer: This indicator is for educational and informational purposes only and does not constitute financial advice. All trading involves risk.
Session Shading (Asia, London, NY)This indicator highlights the three major trading sessions — Asia, London, and New York — on your chart in any time zone. Each session is shaded a different color, with optional labels marking when each begins. It’s designed to help traders quickly see when global market centers are active, identify overlaps between sessions, and align entries or exits with periods of higher liquidity and volatility.
Session Shading (Asia, London, NY) — ESTThis indicator highlights the three major trading sessions — Asia, London, and New York — on your chart in Eastern Time. Each session is shaded a different color, with optional labels marking when each begins. It’s designed to help traders quickly see when global market centers are active, identify overlaps between sessions, and align entries or exits with periods of higher liquidity and volatility.
Session Shading (Asia, London, NY) — PSTThis indicator highlights the three major trading sessions — Asia, London, and New York — on your chart in Pacific Time. Each session is shaded a different color, with optional labels marking when each begins. It’s designed to help traders quickly see when global market centers are active, identify overlaps between sessions, and align entries or exits with periods of higher liquidity and volatility.
X OR AVWAPX OR AVWAP is a multi-layered market mapping tool designed to combine Opening Range analysis, Anchored VWAP (AVWAP) positioning, and SMA markers into a unified visual framework.
Opening Range (OR) Mapping
The indicator supports two independent Opening Ranges, allowing traders to define both a primary range and a micro range for finer analysis. This is particularly effective when viewing lower timeframes, where a smaller OR inside the larger OR reveals intraday microstructure.
OR #1 and OR #2 each have configurable session times, colors, and optional midpoint lines.
Historical OR boxes can be shown or hidden, with the ability to extend levels forward in time.
Optional Fibonacci-based expansion levels (0.5x, 1x, 1.5x, 2x, 3x OR) are available for projecting breakout targets and retracement zones.
Traders can toggle high/low lines, midpoints, and labels independently for cleaner chart presentation.
Anchored VWAP (AVWAP) Layers
To track institutional capital flow and session bias, the indicator offers three separate AVWAP anchors, each independently controlled:
Can be anchored to custom events, sessions, or manual reference points.
Enables granular capital flow mapping down to 4-hour increments, helping traders align intraday trades with broader directional bias.
Each AVWAP can be toggled on/off to avoid clutter and isolate the most relevant flow line for the current setup.
SMA Markers
For additional context, simple moving average markers can be displayed alongside OR and AVWAP structure, helping gauge trend direction and mean-reversion potential.
Use Case
This tool is built for traders who want to combine structure, flow, and trend in a single view. On lower timeframes, the dual OR feature allows for a “range-within-a-range” perspective, revealing short-term liquidity pockets inside the day’s primary auction boundaries. The multi-anchor AVWAPs track how price interacts with session-based weighted averages, highlighting points where institutional bias may shift. When combined with SMA markers, the trader gains a comprehensive map for scalping, intraday swing trading, and capital flow tracking.
SKI FVG IndicatorIt uses ICT concepts and takes entries and exits. Identifies good FVG and shows an entry to buy or short and also exits at swing high or low , discount areas, primary areas, DOL (draw on liquidity)
Cumulative Volume DeltaCumulative Volume Delta (CVD) is a technical analysis indicator used in trading to measure the net buying or selling pressure in a market by tracking the difference between buying and selling volume over time. It’s particularly popular in futures, forex, and cryptocurrency trading, where volume data is critical for understanding market dynamics.
### How It Works:
- **Volume Delta**: For each price bar or time period, the volume delta is calculated as the difference between buying volume (trades executed at the ask price, indicating buyer aggression) and selling volume (trades executed at the bid price, indicating seller aggression).
- Formula: Volume Delta = Buying Volume - Selling Volume
- **Cumulative Volume Delta**: CVD sums up the volume delta over a specified period, creating a running total that reflects the overall trend of buying or selling pressure.
- If CVD is rising, it suggests stronger buying pressure (bullish sentiment).
- If CVD is falling, it indicates stronger selling pressure (bearish sentiment).
### Key Features:
1. **Divergence Analysis**: Traders use CVD to spot divergences between price movements and volume trends. For example, if the price is rising but CVD is declining, it may signal weakening bullish momentum (potential reversal).
2. **Support/Resistance Confirmation**: CVD can confirm breakouts or reversals at key price levels by showing whether volume supports the price movement.
3. **Trend Strength**: A steeply rising or falling CVD line indicates strong directional pressure, while a flat CVD suggests indecision or consolidation.
### Example:
- If a cryptocurrency like Bitcoin has 10,000 units bought at the ask and 7,000 units sold at the bid in a given period, the volume delta is +3,000. Over multiple periods, these deltas are added to form the CVD.
- A rising CVD alongside a price uptrend confirms bullish strength, while a falling CVD during a price uptrend may warn of a potential pullback.
### Limitations:
- **Data Dependency**: CVD relies on accurate bid/ask volume data, which may not be available or reliable on all platforms (e.g., some exchanges don’t provide detailed order book data).
- **Lagging Nature**: As a cumulative indicator, it may lag behind rapid price changes.
- **Context Matters**: CVD should be used with other indicators (e.g., price action, support/resistance) for better accuracy.
### Practical Use:
Traders often plot CVD as a line chart below the price chart on platforms like TradingView or Sierra Chart. It’s useful for:
- Identifying trend reversals or continuations.
- Confirming breakouts or breakdowns.
- Assessing market sentiment in low-liquidity or high-volatility markets.
Volume FlaresVolume Flares – Spotting Abnormal Volume by Time of Day
Most volume tools compare current volume to a moving average of the last X bars. That’s fine for seeing short-term changes, but it ignores how volume naturally ebbs and flows throughout the day.
Volume at 9:35 is not the same as volume at 1:15.
A standard MA will treat them the same.
What Volume Flares does differently:
Breaks the day into exact time slots (based on your chosen timeframe).
Calculates the historical average volume for each slot across past sessions.
Compares the current bar’s volume only to its own slot’s historical average.
Marks when current volume is significantly higher than normal for that exact time of day.
Visuals:
Colored columns = historical average volume for each slot (dark = quiet, bright = busy).
Green stepline = today’s actual current volume.
Dark red background = current volume > 130% of that slot’s historical average.
Volume Behavior table = live % comparison and raw values for quick reference.
How I use it:
Red and green arrows on the price chart are manually drawn where the background turns red in the volume panel.
These often align with liquidity grabs, institutional entries, or areas where the market is “louder” than it should be for that moment in the day.
Helps filter out false urgency — high volume at the open isn’t the same as high volume in the lunch lull.
Key takeaway:
This is not a buy/sell signal.
It’s context.
It’s about spotting when the market is behaving out of character for that specific moment, and using that to read intent behind the move.
Dynamic Swing Anchored VWAP (Zeiierman)█ Overview
Dynamic Swing Anchored VWAP (Zeiierman) is a price–volume tool that anchors VWAP at fresh swing highs/lows and then adapts its responsiveness as conditions change. Instead of one static VWAP that drifts away over time, this indicator re-anchors at meaningful structure points (swings). It computes a decayed, volume-weighted average that can speed up in volatile markets and slow down during quiet periods.
Blending swing structure with an adaptive VWAP engine creates a fair-value path that stays aligned with current price behavior, making retests, pullbacks, and mean reversion opportunities easier to spot and trade.
█ How It Works
⚪ Swing Anchor Engine
The script scans for swing highs/lows using your Swing Period.
When market direction flips (new pivot confirmed), the indicator anchors a new VWAP at that pivot and starts tracking from there.
⚪ Adaptive VWAP Core
From each anchor , VWAP is computed using a decay model (recent price×volume matters more; older data matters less).
Adaptive Price Tracking lets you set the base responsiveness in “bars.” Lower = more reactive, higher = smoother.
Volatility Adjustment (ATR vs Avg ATR) can automatically speed up the VWAP during spikes and slow it during compression, so the line stays relevant to live conditions.
█ Why This Adaptive Approach Beats a Simple VWAP
Standard VWAP is cumulative from the anchor point. As time passes and volume accumulates, it often drifts far from current price, especially in prolonged trends or multi-session moves. That drift makes retests rare and unreliable.
Dynamic Swing Anchored VWAP solves this in two ways:
⚪ Event-Driven Anchoring (Swings):
By restarting at fresh swing highs/lows, the VWAP reference reflects today’s structure. You get frequent, meaningful retests because the anchor stays near the action.
⚪ Adaptive Responsiveness (Volatility-Aware):
Markets don’t move at one speed. When volatility expands, a fixed VWAP lags; when volatility contracts, it can overreact to noise. Here, the “tracking speed” can auto-adjust using ATR vs its average.
High Volatility → faster tracking: VWAP hugs price more tightly, preserving retest relevance.
Low Volatility → smoother tracking: VWAP filters chop and stays stable.
Result: A VWAP that follows price more accurately, creating plenty of credible retest opportunities and more trustworthy mean-reversion/continuation reads than a simple, ever-growing VWAP.
█ How to Use
⚪ S wing-Aware Fair Value
Use the VWAP as a dynamic fair-value guide that restarts at key structural pivots. Pullbacks to the VWAP after impulsive moves often provide retest entries.
⚪ Trend Trading
In trends, the adaptive VWAP will ride closer to price, offering continuation pullbacks.
█ Settings
Swing Period: Number of bars to confirm swing highs/lows. Larger = bigger, cleaner pivots (slower); smaller = more frequent pivots (noisier).
Adaptive Price Tracking: Sets the base reaction speed (in bars). Lower = faster, tighter to price; higher = smoother, slower.
Adapt APT by ATR ratio: When ON, the tracking speed auto-adjusts with market volatility (ATR vs its own average). High vol → faster; low vol → calmer.
Volatility Bias: Controls how strongly volatility affects the speed. >1 = stronger effect; <1 = lighter touch.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
ATR+CCI Monetary Risk Tool - TP/SL⚙️ ATR+CCI Monetary Risk Tool — Volatility-aware TP/SL & Position Sizing
Exact prices (no rounding), ATR-percentile dynamic stops, and risk-budget sizing for consistent execution.
🧠 What this indicator is
A risk-first planning tool. It doesn’t generate orders; it gives you clean, objective levels (Entry, SL, TP) and position size derived from your risk budget. It shows only the latest setup to keep charts readable, and a compact on-chart table summarizing the numbers you actually act on.
✨ What makes it different
Dynamic SL by regime (ATR percentile): Instead of a fixed multiple, the SL multiplier adapts to the current volatility percentile (low / medium / high). That helps avoid tight stops in noisy markets and over-wide stops in quiet markets.
Risk budgeting, not guesswork: Size is computed from Account Balance × Max Risk % divided by SL distance × point value. You risk the same dollars across assets/timeframes.
Precision that matches your instrument: Entry, TP, SL, and SL Distance are displayed as exact prices (no rounding), truncated to syminfo.mintick so they align with broker/exchange precision.
Symbol-aware point value: Uses syminfo.pointvalue so you don’t maintain tick tables.
Non-repaint option: Work from closed bars to keep the plan stable.
🔧 How to use (quick start)
Add to chart and pick your timeframe and symbol.
In settings:
Set Account Balance (USD) and Max Risk per Trade (%).
Choose R:R (1:1 … 1:5).
Pick ATR Period and CCI Period (defaults are sensible).
Keep Dynamic ATR ON to adapt SL by regime.
Keep Use closed-bar values ON to avoid repaint when planning.
Read the labels (Entry/TP/SL) and the table (SL Distance, Position Size, Max USD Risk, ATR Percentile, effective SL Mult).
Combine with your entry trigger (price action, levels, momentum, etc.). This indicator handles risk & targets.
📐 How levels are computed
Bias: CCI ≥ 0 ⇒ long, otherwise short.
ATR Percentile: Percent rank of ATR(atrPeriod) over a lookback window.
Effective SL Mult:
If percentile < Low threshold ⇒ use Low SL Mult (tighter).
If between thresholds ⇒ use Base SL Mult.
If percentile > High threshold ⇒ use High SL Mult (wider).
Stop-Loss: SL = Entry ± ATR × SL_Mult (minus for long, plus for short).
Take-Profit: TP = Entry ± (Entry − SL) × R (R from the R:R dropdown).
Position Size:
USD Risk = Balance × Risk%
Contracts = USD Risk ÷ (|Entry − SL| × PointValue)
For futures, quantity is floored to whole contracts.
Exact prices: Entry/TP/SL and SL Distance are not rounded; they’re truncated to mintick so what you see matches valid price increments.
📊 What you’ll see on chart
Latest Entry (blue), TP (green), SL (red) with labels (optional emojis: ➡️ 🎯 🛑).
Info Table with:
Bias, Entry, TP, SL (exact, truncated to mintick)
SL Distance (exact, truncated)
Position Size (contracts/units)
Max USD Risk
Point Value
ATR Percentile and effective SL Mult
🧪 Practical examples
High-volatility session (e.g., XAUUSD, 1H): ATR percentile is high ⇒ wider SL, smaller size. Reduces churn from normal noise during macro events.
Range-bound market (e.g., EURUSD, 4H): ATR percentile low ⇒ tighter SL, better R:R. Helps you avoid carrying unnecessary risk.
Index swing planning (e.g., ES1!, Daily): Non-repaint levels + risk budgeting = consistent sizing across days/weeks, easier to review and journal.
🧭 Why traders should use it
Consistency: Same dollar risk regardless of instrument or volatility regime.
Clarity: One-trade view forces focus; you see the numbers that matter.
Adaptivity: Stops calibrated to the market’s current behavior, not last month’s.
Discipline: A visible checklist (SL distance, size, USD risk) before you hit buy/sell.
🔧 Input guide (practical defaults)
CCI Period: 100 by default; use as a bias filter, not an entry signal.
ATR Period: 14 by default; raise for smoother, lower for more reactive.
ATR Percentile Lookback: 200 by default (stable regime detection).
Percentile thresholds: 33/66 by default; widen the gap to change how often regimes switch.
SL Mults: Start ~1.5 / 2.0 / 2.5 (low/base/high). Tune by asset.
Risk % per trade: Common pro ranges are 0.25–1.0%; adjust to your risk tolerance.
R:R: Start with 1:2 or 1:3 for balanced skew; adapt to strategy edge.
Closed-bar values: Keep ON for planning/live; turn OFF only for exploration.
💡 Best practices
Combine with your entry logic (structure, momentum, liquidity levels).
Review ATR percentile and effective SL Mult across sessions so you understand regime shifts.
For futures, remember size is floored to whole contracts—safer by design.
Journal trades with the table snapshot to improve risk discipline over time.
⚠️ Notes & limitations
This is not a strategy; it does not place orders or alerts.
No slippage/commissions modeled here; build a strategy() version for backtests that mirror your broker/exchange.
Displayed non-price metrics use two decimals; prices and SL Distance are exact (truncated to mintick).
📎 Disclaimer
For educational purposes only. Not financial advice. Markets involve risk. Test thoroughly before trading live.
ABO LANA-𝑀1. إشارات التداول الرئيسية:
إشارة شراء (BUY):
تظهر عند تحول اتجاه السوق من هابط إلى صاعد، مع إغلاق السعر فوق المتوسط المتحرك (EMA 9).
إشارة بيع (SELL):
تظهر عند تحول الاتجاه من صاعد إلى هابط، مع إغلاق السعر تحت المتوسط المتحرك.
2. مناطق العرض والطلب (Supply/Demand):
مناطق العرض (Supply):
تمثل مستويات مقاومة رئيسية (لون أحمر) تُرسم عند القمم السعرية.
مناطق الطلب (Demand):
تمثل مستويات دعم رئيسية (لون أخضر) تُرسم عند القيعان السعرية.
تحديث تلقائي بناءً على حركة السعر وأطر زمنية متعددة.
3. إدارة المخاطر والأرباح:
وقف الخسارة (SL):
يُحسب باستخدام مضاعف ATR (المدى الحقيقي).
مستويات الأرباح (TP1, TP2, TP3):
مستويات ثلاثية للأرباح مع مضاعفات قابلة للتخصيص.
تنبيهات صوتية عند تحقيق كل هدف.
4. لوحة المعلومات (Dashboard):
اتجاه السوق: صاعد/هابط عبر 6 أطر زمنية (من 1 دقيقة إلى يومي).
مؤشر الزخم (Momentum):
اتجاه حركة السعر خلال 10 شمعات.
RSI مخصص:
يجمع بين RSI قصير المدى (2) ومتوسط متحرك (7).
حجم التداول: صاعد/هابط مقارنة بالمتوسط.
قوة الترند (ADX): قوي/ضعيف.
5. ميزات إضافية:
خطوط اتجاه ديناميكية:
تُرسم تلقائياً بين القمم والقيعان.
مستويات دعم/مقاومة:
مستخرجة من 7 أطر زمنية (H4, H1, M30, ...).
نطاق متوسط (Middle Band):
خط برتقالي يعكس متوسط حركة السعر.
تحليل السيولة:
يعتمد على شموع هايكين أشي وحجم التداول.
Brief Explanation of ABO LANA-M (English):
1. Core Trading Signals:
BUY Signal:
Triggers when market trend shifts from bearish to bullish, with price closing above EMA 9.
SELL Signal:
Activates when trend reverses from bullish to bearish, with price closing below EMA 9.
2. Supply/Demand Zones:
Supply Zones (Red):
Key resistance levels plotted at swing highs.
Demand Zones (Green):
Key support levels plotted at swing lows.
Auto-updated based on price action across multiple timeframes.
3. Risk & Profit Management:
Stop Loss (SL):
Calculated using ATR multiplier.
Take Profit Targets (TP1, TP2, TP3):
Three customizable profit levels.
Audio alerts when each target is hit.
4. Smart Dashboard:
Market Trend: Bullish/Bearish across 6 timeframes (1m to Daily).
Momentum Indicator:
Price movement direction over 10 candles.
Custom RSI:
Combines RSI(2) with SMA(7) for smoother readings.
Volume Analysis:
Compares current volume to 20-period average.
Trend Strength (ADX): Strong/Weak.
5. Advanced Features:
Dynamic Trendlines:
Automatically drawn between swing highs/lows.
Support/Resistance Levels:
Extracted from 7 timeframes (H4, H1, M30, etc.).
Middle Band:
Orange line showing price equilibrium.
Liquidity Analysis:
Based on Heikin Ashi candles and volume confirmation.
BTC/USD Breakout Hours – IST (Hyderabad)This indicator highlights the most volatile BTC/USD trading hours based on Hyderabad (IST) time.
It marks three key breakout windows:
London–US Overlap (17:30–20:30 IST) – Highest liquidity & volatility
US Market Open Momentum (19:00–23:30 IST) – Strong trend moves
Early London Session (12:30–15:30 IST) – Pre-US setup moves
The script automatically converts chart time to IST, shades each breakout window, and includes optional alerts for:
Window start
15 minutes before start
Ideal for traders who want to align entries with high-probability market moves while avoiding low-volume hours.
Universal Valuation[public code]Universal valuation indicator for all assets. Consists of 12 different indicators which are z-scored and averaged out.
> Volatility bands via Keltner Channels with a NWMA
> Confluence when price > vol.bands and valuation is high/low. The confluence is marked with red arrows when above the upper third band(green when below the lower on the downside), and 50% transparency when between 2/3 band(green when below the lower 2/3 bands on the downside.)
> Can be used separately of course.
> Can be used as valuation of indicators, when possible. (eg. Global Liquidity index valuation)
Code is a mess a bit, but parts can be extracted and a new strategy/indicator can be made.
*Big probs to the creator of this indicator . Inspired by him. I want to make it possible for people to extrapolate and create their own indicators/strategies. And of course, so I can do the same.
Efficient Candle Range (ECR)Efficient Candle Range (ECR)
A custom-built concept designed to detect zones of efficient price movement, often signaling the start, pause, or end of an implied move.
What is the Efficient Candle Range?
The Efficient Candle Range (ECR) is a unique tool that identifies price zones based on efficient candles—candles with relatively small bodies and balanced wicks. These candles reflect balanced or orderly price action, and when grouped into a range, they can reveal areas of temporary equilibrium in the market.
Rather than focusing on single candles, ECR builds a range that dynamically adjusts as new efficient candles form. This gives traders an objective way to track potential areas of absorption, distribution, or transition.
Why use ECR?
Efficient candles often occur:
At the beginning of a new move, after a liquidity sweep or shift in sentiment
At the end of a strong move, as momentum fades
Within consolidation zones, where price trades in a balanced, indecisive state
While ECRs can appear in any market condition, their interpretation depends on context:
In a range, an ECR might just reflect sideways balance.
But after a sweep or breakout, it could signal a potential shift in direction or continuation.
A close outside the ECR often marks the end of that balance and the start of a new impulse.
How it works
The script detects efficient candles based on body-to-range ratio and wick symmetry.
Consecutive ECs are grouped into a live ECR box.
The box dynamically extends as long as price stays inside the high-low range.
Once a candle closes outside, the ECR is considered invalid (fades visually, but remains visible for reference).
Each active range is labeled "ECR" within the box for easy tracking.
Customizable in settings
Max body percentage of range
Max wick imbalance
Box and label color/transparency
Suggested usage
Let the ECR define your observation zone.
Instead of reacting immediately to an efficient candle, wait for a confirmed breakout from the ECR to validate the next move.
Whether you trade breakouts, reversals, or continuation setups, ECR provides an objective way to visualize price balance and understand when the market is likely to expand.
Designed for individual traders looking to build structure around efficient price movement — no specific methodology required.
Daily Manipulation Probability Dashboard📜 Summary
Tired of getting stopped out on a "Judas Swing" just before the price moves in your intended direction? This indicator is designed to give you a statistical edge by quantifying the daily manipulation move.
The Daily Manipulation Probability Dashboard analyzes thousands of historical trading days to reveal the probability of the initial "stop-hunt" or "fakeout" move reaching certain percentage levels. It presents this data in a clean, intuitive dashboard right on your chart, helping you make more data-driven decisions about stop-loss placement and entry timing.
🧠 The Core Concept
The logic is simple but powerful. For every trading day, we measure two things:
Amplitude Above Open (AAO): The distance price travels up from the daily open (High - Open).
Amplitude Below Open (ABO): The distance price travels down from the daily open (Open - Low).
The indicator defines the "Manipulation" as the smaller of these two moves. The idea is that this smaller move often acts as a liquidity grab to trap traders before the day's primary, larger move ("Distribution") begins.
This tool focuses exclusively on providing deep statistical insight into this crucial manipulation phase.
🛠️ How to Use This Tool
This dashboard is designed to be a practical part of your daily analysis and trade planning.
1. Smarter Stop-Loss Placement
This is the primary use case. The "Prob. (%)" column tells you the historical chance of the manipulation move being at least a certain size.
Example: If the table shows that for EURUSD, the ≥ 0.25% level has a probability of 30%, you can flip this information: there is a 70% probability that the daily manipulation move will be less than 0.25%.
Action: Placing your stop-loss just beyond a level with a low probability gives you a statistically sound buffer against typical stop-hunts.
2. Entry Timing and Patience
The live arrow (→) shows you where the current day's manipulation falls.
Example: If the arrow is pointing at ≥ 0.10% and you know there is a high probability (e.g., 60%) of the manipulation reaching ≥ 0.20%, you might wait for a deeper pullback before entering, anticipating that the "Judas Swing" hasn't completed yet.
3. Assessing Daily Character
Quickly see if the current day's action is unusual. If the manipulation move is already in a very low probability zone (e.g., > 1.00%), it might indicate that your Bias is wrong, or signal a high-volatility day or a potential trend reversal.
📊 Understanding the Dashboard
Ticker: The top-right shows the current symbol you are analyzing.
→ (Arrow): Points to the row that corresponds to the current, live day's manipulation amplitude.
Manip. Level: The percentage threshold being analyzed (e.g., ≥ 0.20%).
Days Analyzed: The raw count of historical days where the manipulation move met or exceeded this level.
Prob. (%): The key statistic. The cumulative probability of the manipulation move being at least the size of the level.
⚙️ Settings
Position: Choose where you want the dashboard to appear on your chart.
Text Size: Adjust the font size for readability.
Max Historical Days to Analyze: Set the number of past daily candles to include in the statistical analysis. A larger number provides a more robust sample size.
I believe this tool provides a unique, data-driven edge for intraday traders across all markets (Forex, Crypto, Stocks, Indices). Your feedback and suggestions are highly welcome!
- @traderprimez
