AI-JX Strategy### 🤖 Core Features
AI-JX v3.3 is an AI-powered comprehensive trading strategy system developed with PineScript v6, integrating multiple advanced technical analysis tools and machine learning algorithms.
### 📊 Main Functional Modules 1. AI Learning System
- Adaptive Parameter Optimization : Automatically learns and adjusts trading parameters
- Three Strategy Modes : Conservative (ranging markets), Aggressive (trending markets), Balanced (universal)
- Dynamic Weight Adjustment : Intelligently allocates weights to different strategies based on market conditions
- Learning Memory Mechanism : Records historical trading data for continuous strategy optimization 2. Technical Indicator System
- SuperTrend Indicator : ATR-based trend following system
- Heikin Ashi Smoothing : Reduces market noise for clearer trend signals
- Standard Deviation Channels : Multi-level support and resistance analysis
- Trend Distribution Profile : Visualizes price distribution and trend strength
- Multi-Timeframe Analysis : Comprehensive analysis across 5m, 15m, and 1h timeframes 3. Intelligent Signal Generation
- Traditional Signals : Classic buy/sell signals based on SuperTrend
- AI Smart Signals : Comprehensive scoring system combining RSI, MACD, and ATR
- False Breakout Detection : Identifies and filters fake breakout signals
- Price Confirmation Mechanism : Ensures signal validity and reliability 4. Risk Management System
- Dynamic Stop Loss/Take Profit : Long 3% TP/1.5% SL, Short 2:1 risk-reward ratio
- Slippage Monitoring : Real-time market slippage risk assessment
- Volatility Filtering : Adjusts trading strategy based on ATR
- Position Management : Smart capital allocation and risk control 5. Visualization Panels
- Statistics Panel : Displays key data like trade count, win rate, current strategy
- AI Learning Panel : Shows strategy weights and learning progress
- Prediction Panel : Real-time AI analysis and trading recommendations
- Chart Markers : Clear buy/sell signals and trend line displays 6. Alert System
- Multiple Alert Types : Buy, sell, take profit, and stop loss notifications
- Personalized Messages : Fun "WangWang" themed alert messages
- Real-time Notifications : Precise alerts with maximum one per bar frequency
### 🎯 Key Advantages
- AI-Driven : Machine learning optimization for better performance
- Multi-Strategy : Adapts to different market conditions automatically
- Risk-Controlled : Comprehensive risk management with dynamic adjustments
- User-Friendly : Intuitive interface with detailed visualization panels
- Highly Customizable : Extensive parameter settings for different trading styles
Indicateurs d'étendue
AC Trader - Super TrendThis is a candlestick pattern indicator (Marubozu, Engulfing, Pinbar) that cuts through the EMA lines (20/50/200). AE can change the EMA indicators as desired. For example, EMA 34/89/200. There is a general warning for candlestick patterns when cutting through the EMA.
KK🚦LightKK Light is for 5min ~ 15min ETH/BTC only
The red triangles indicate selling, and the green ones indicate buying.
When the colored lights appear, you should be more careful.
The colored squares mean that you should stop what you're doing right now.
You can contact me for more details
Squeeze Momentum CV [Divergencias]RAFAEL CEPEDA Strategy es parte del mejor, una estrategia super facil
WSW - DMA Dickson Moving Average (DMA) is a specialized technical indicator designed to create a fast-responding moving average with minimal lag, blending the strengths of two other well-known moving averages: the Hull Moving Average (HMA) and John Ehlers’ Zero Lag Indicator. It was developed by Nathan Dickson, who aimed to create a moving average that reacts quickly to price changes, similar to the proprietary Jurik Moving Average (JMA), but without the associated costs. Below is a detailed explanation of the DMA, its construction, purpose, and use in trading.
مؤشر الحوت الثانيWhale II Indicator Description:
This indicator is developed in Pine Script v6 on the TradingView platform, designed to be a powerful analytical tool combining dynamic moving averages, trend speed, and transmission statistics (wave analysis).
It reveals market direction, energy, and momentum in a visually defined manner, along with statistical figures.
🎯 Key Components of the Indicator:
1. Dynamic Moving Average (DMA)
• Varies according to price action.
• It has two important options:
◦ Maximum Length: Specifies the smallest number of candles for which the average is calculated (larger values = slower and quieter line, smaller values = faster and sensitive line).
◦ Accelerator Multiplier: Increases or selects the speed of movement entry (high values = quick response to orders, but may be noisy).
•
✅ Gives you a dynamic line on a chart (green = bullish, red = bearish).
2. Trend Velocity (Trend Velocity)
• Calculates the strength of the current movement using the rate of price change.
• Shows:
• Colored shares (green chart): degrees if the trend is bullish and strong, red degrees if it is bearish.
• Candle Strength: If you enable the Candles option, the candles themselves are colored according to the strength of the trend (instead of their original color).
•
3. Wave Analysis Table (Transmission Table)
The statistical table appears in the corner (top right) where the numerical information helps you understand the market dynamics:
• Average Wave → Average Transmission Size (bullish or bearish).
• Max Wave → Largest Wave in the period.
• Current Wave Ratio → Compares the current wave to the average/largest wave, giving an idea of whether the current wave is strong or weak compared to the previous one. MEXC:WIFUSDT
مؤشر الحوت الأول✅ History (Signals)
• Most prominent buy/sell signals (Buy/Sell).
• Smart buy/sell signals (Smart Buy/Sell) are compatible with price alignment with the trend and EMA.
• Reversal indicators (Reversal signals) when the market is overbought/oversold.
• Channel breakouts signals when strong price levels are broken.
⸻
✅ Errors (Trend)
• Average trend bar: A multi-colored set with a custom background color.
• Trend Cloud: A cloud between the EMA150 and EMA250 that gives you the strength of the error (bullish/bearish).
• Chaos trend line: A moving ATR line (like a trailing stop) to confirm the error.
• EMA200: A solid line for general correction.
⸻
✅ Colors and Candlestick Reading
• Candlesticks are colored according to the Relative Strength Index (RSI) or the trend.
• Different colors indicate buying or selling strength (low RSI → red, high RSI →).
⸻
✅ Relative Strength Index + Oversold Zones
• Cap chart based on the Relative Strength Index (RSI):
• Green = Light overbought.
• Red = Light oversold.
• Measures oversold conditions and integrates with Facebook to confirm entry/exit.
⸻
✅ Dashboard
Located below the chart and displays:
• Volatility (weak, very strong, etc.).
• Current RSI value.
• Over the same timeframe (3-minute, 5-minute, 15-minute, 1-hour, 4-hour, daily, etc.).
⸻
✅ Multiple Management (Risk Management)
• Entry – Stop Loss – Stop Loss zones (TP1, TP2, TP3) are found directly on the chart.
• Draws lines and labels at entry, stop, and target levels.
• This feature can be enabled or disabled in the settings.
⸻
✅ Additional Tools
• Order Blocks (off by default in the code).
• Keltner Channels are cloud-like compression/divergence zones.
• Volatility Filter: Measures ATR and Elastic Divergence to give you the strength of the movement.
⸻
📊 In short:
Your indicator isn't just one; it's a complete suite of tools:
• Smart Buy/Sell Signals +
• Trend and Cloud + EMA200
• Reversal and Saturation Signals
• Dashboard for Multi-Timeframe Analysis
• Capital Management with Targets and Stops
Rapid Cumulative Delta Proxy (Close vs Close)Rapid Cumulative Delta Proxy (Close vs Close)
1. Summary
This indicator provides a powerful proxy for Cumulative Delta , offering insight into the buying and selling pressure within each candle without requiring access to specialized tick data. It works by analyzing a Lower Timeframe (LTF) of your choice and accumulating the volume based on simple price changes, then displaying the results in a clean, customizable "footprint-style" table on your main chart.
This tool is designed for traders who want to understand the underlying order flow dynamics and see whether buyers or sellers were more aggressive during the formation of a candle.
2. Key Features
Cumulative Delta Proxy: Calculates delta by comparing the close of each LTF bar to the previous one, assigning volume to either buyers or sellers.
Lower Timeframe Analysis: Gives you the flexibility to choose any LTF (e.g., 1-minute, 5-minute, or even seconds) to build your delta analysis, allowing for granular or broad views.
Historical "Footprint" Table: Displays data for the current, developing bar as well as a user-defined number of previous bars, allowing for immediate historical context.
Live Data Monitoring: The top row of the table always shows the real-time, developing values for the current bar.
Full Visual Customization: Provides extensive options to control the table's position, colors, and text styles to perfectly match your chart's theme.
3. Calculation Mechanism
The logic of this indicator is straightforward and transparent. For every single bar on your main (Higher Timeframe) chart, the script performs the following steps:
Data Collection: The script uses the request.security_lower_tf() function to gather all the close and volume data from the user-specified Lower Timeframe that falls within the current HTF bar.
Volume Allocation: It then iterates through each of these LTF bars to determine if it represented buying or selling pressure.
If an LTF bar's close is greater than the close of the previous LTF bar, its entire volume is added to a running total of Buy Volume.
If an LTF bar's close is less than the close of the previous LTF bar, its volume is added to a running total of Sell Volume.
If the closes are identical, the volume is considered neutral and is ignored.
Final Calculations: Once all the LTF bars have been processed, the final metrics for that single HTF bar are calculated:
Delta: This is the net difference between the accumulated volumes. The formula is:
Delta=TotalBuyVolume−TotalSellVolume
Imbalance %: This shows the percentage dominance of buyers or sellers relative to the total activity. The formula is:
Imbalance%= Delta / (TotalBuyVolume+TotalSellVolume) ×100
This entire process repeats for each bar on your chart, with the results stored and displayed in the historical table.
4. Settings Explained
Lower Timeframe: The most important setting. This is the timeframe the script will analyze to calculate delta. It must be a lower interval than your main chart's timeframe.
History Bar Count: Controls how many previous, closed bars of data are displayed in the table below the "Live" bar.
Table Visuals (Group):
Header Colors: Customize the text color for each column header (Buy, Sell, Delta, Imbalance).
Background Colors: Set the colors used for the conditional backgrounds on the Delta and Imbalance columns (Positive, Negative, and Neutral values).
Data Text Style: Control the color and size of all standard text in the table. Placed on one line for convenience.
Table Position: A dropdown menu to place the table in any of nine positions on your chart.
5. Trading Concepts & Examples
This is where the Delta Table truly shines. By comparing the delta data (the "Effort") with the candle on your chart (the "Result"), you can gain powerful insights.
A. Effort vs. Result Analysis
This concept helps you determine if the trading activity is actually succeeding in moving the price.
Confirmation:
High positive delta on a large green candle that closes strong. This confirms the buying pressure was effective and the trend is likely to continue.
High negative delta on a large red candle that closes weak. This confirms the selling pressure was effective.
Divergence (Sign of Reversal):
Absorption: You see very high positive delta, but the candle on the chart is small, with a long upper wick (a shooting star). This is a major warning sign. It means buyers exerted massive effort, but the result was poor because a large seller absorbed all their buying, preventing the price from rising. This often precedes a move down.
Exhaustion: You see very high negative delta, but the candle is small with a long lower wick (a hammer). This means sellers tried their best to push the price down but failed. Their effort was met with strong buying pressure, signaling selling exhaustion and a potential bottom.
B. Identifying Traps (Two-Bar Analysis)
Traps occur when a breakout or breakdown fails, catching traders on the wrong side of the market. The Delta Table makes these easy to spot.
Example of a Bull Trap:
The Bait (Bar 1): A strong green candle breaks above a key resistance level. You look at the table and see a strong positive delta, convincing traders to go long.
The Trap (Bar 2): The very next candle is a powerful red candle that closes back below the resistance level. Now, check the table for this candle—you will often see an equally strong or even stronger negative delta.
Interpretation: The initial breakout buyers are now "trapped." The aggressive negative delta on the second bar confirms that sellers have taken control, and the trapped longs will be forced to sell, fueling a sharper decline.
Example of a Bear Trap:
The Bait (Bar 1): A strong red candle breaks below a key support level, showing a strong negative delta in the table. Traders are convinced to go short.
The Trap (Bar 2): The next candle is a powerful green candle closing back above support, accompanied by a very strong positive delta.
Interpretation: The breakdown has failed. Aggressive buyers have stepped in, "trapping" the short-sellers who must now buy back their positions, adding fuel to the rally.
6. Important Notes
Repainting: This indicator does not repaint. Once a bar on your main chart closes, its calculated values in the historical table are fixed and will not change. The "Live" data row updates in real-time as the current bar forms, which is the intended and expected behavior.
1-Second Timeframe: The script allows for using second-based intervals (e.g., "1S"). Please be aware that access to second-based timeframes on TradingView requires a Premium subscription. If you do not have one, please use a minute-based interval (e.g., "1").
Historic Bars: The script can accommodate large range, does not have any max bar limit. Please be aware that large table will require heavy computing power.
7. Disclaimer
The information provided by this indicator is for educational and informational purposes only and does not constitute financial advice. All trading and investment decisions are your own and should be made with the help of a qualified financial professional. Trading financial markets involves substantial risk, and past performance is not indicative of future results. The author is not responsible for any losses you may incur as a result of using this script.
ALI-2-OptionsEntry strategy and indicator on the contracts chart only, 5-minute frame, by crossing the green line + the average
ALI-1Call or Put entry strategy on a 5-minute frame, the real-time indicator, and the ALI-2 indicator.
Ajay Auto Pre-Market Gap + 3PM Signal (NIFTY/BANKNIFTY/SENSEX)Auto Pre-Market Gap + 3PM Signal (NIFTY/BANKNIFTY/SENSEX)
dr.forexy strategy 1“Dear friends, please do not use this strategy on your own! This setup works best on the 5-minute timeframe. I hope it brings you great profits.”
Sweep + BOS Alerts//@version=5
indicator("Sweep + BOS Alerts", overlay=true, shorttitle="SweepBOS")
// === User inputs ===
// Lookback length for pivot highs/lows. Higher values produce fewer swings/signals.
length = input.int(5, title="Pivot length", minval=1, maxval=50)
// Minimum relative wick size to qualify as a sweep (ratio of wick to body)
minWickMult = input.float(1.5, title="Min wick‑to‑body ratio", minval=0.0)
// Volume confirmation multiplier: volume must be at least this multiple of average volume
volMult = input.float(1.0, title="Volume multiple for BOS confirmation", minval=0.0)
// Maximum signals per month (to limit to ~5–7 as requested)
maxSignals = input.int(7, title="Max signals per month", minval=1, maxval=20)
// Only alert once per sweep/BOS pair
onlyFirst = input.bool(true, title="Only first BOS after sweep")
// === Helpers ===
// Identify pivot highs/lows using built‑in pivot functions
pivotHighPrice = ta.pivothigh(high, length, length)
pivotLowPrice = ta.pivotlow(low, length, length)
// Track the most recent swing high/low and their bar indices
var float lastSwingHigh = na
var float lastSwingLow = na
var int lastSwingHighBar = na
var int lastSwingLowBar = na
if not na(pivotHighPrice)
lastSwingHigh := pivotHighPrice
lastSwingHighBar := bar_index - length
if not na(pivotLowPrice)
lastSwingLow := pivotLowPrice
lastSwingLowBar := bar_index - length
// Calculate average volume for confirmation
avgVol = ta.sma(volume, 20)
// === Sweep detection ===
// Flags to signal a sweep occurred and BOS expected
var bool awaitingBearBOS = false
var bool awaitingBullBOS = false
// Check for sell sweep (buyside liquidity sweep)
// Condition: current high breaks previous swing high and closes back below the swing high with a long upper wick
bearSweep = false
if (not na(lastSwingHigh) and high > lastSwingHigh)
// compute candle components
bodySize = math.abs(close - open)
upperWick = high - math.max(open, close)
isLongUpperWick = bodySize > 0 ? upperWick / bodySize >= minWickMult : false
// price closes below the last swing high (reversion inside range)
closesInside = close < lastSwingHigh
bearSweep := isLongUpperWick and closesInside
// Check for buy sweep (sellside liquidity sweep)
bullSweep = false
if (not na(lastSwingLow) and low < lastSwingLow)
bodySize = math.abs(close - open)
lowerWick = math.min(open, close) - low
isLongLowerWick = bodySize > 0 ? lowerWick / bodySize >= minWickMult : false
closesInside = close > lastSwingLow
bullSweep := isLongLowerWick and closesInside
// When sweep occurs, set awaiting BOS flags
if bearSweep
awaitingBearBOS := true
awaitingBullBOS := false
if bullSweep
awaitingBullBOS := true
awaitingBearBOS := false
// === BOS detection ===
// Evaluate BOS only if a sweep has happened
autoSellSignal = false
autoBuySignal = false
if awaitingBearBOS
// Look for break of structure to downside: close lower than last swing low.
// Confirm with volume if needed: if average volume is zero (e.g. at start of data), accept any volume.
bool volOkDown = (avgVol == 0) or (volume >= volMult * avgVol)
if (not na(lastSwingLow) and close < lastSwingLow and volOkDown)
autoSellSignal := true
// If only first BOS should trigger, reset flag; otherwise keep awaiting further BOS
awaitingBearBOS := not onlyFirst
if awaitingBullBOS
// Look for break of structure to upside: close higher than last swing high.
bool volOkUp = (avgVol == 0) or (volume >= volMult * avgVol)
if (not na(lastSwingHigh) and close > lastSwingHigh and volOkUp)
autoBuySignal := true
awaitingBullBOS := not onlyFirst
// === Signal throttling per month ===
// Convert current date to month index (year*12 + month)
monthIndex = year * 12 + month
var int currentMonth = monthIndex
var int signalCount = 0
if monthIndex != currentMonth
currentMonth := monthIndex
signalCount := 0
// Limit number of signals per month
buyAllowed = autoBuySignal and (signalCount < maxSignals)
sellAllowed = autoSellSignal and (signalCount < maxSignals)
if buyAllowed or sellAllowed
signalCount += 1
// === Plotting signals ===
plotshape(buyAllowed, title="Buy Signal", style=shape.triangleup, location=location.belowbar, color=color.new(color.green, 0), size=size.tiny, text="BUY")
plotshape(sellAllowed, title="Sell Signal", style=shape.triangledown, location=location.abovebar, color=color.new(color.red, 0), size=size.tiny, text="SELL")
// Plot swing levels (optional for visual reference)
plot(lastSwingHigh, title="Swing High", color=color.gray, style=plot.style_linebr)
plot(lastSwingLow, title="Swing Low", color=color.gray, style=plot.style_linebr)
// === Alerts ===
// These alertconditions allow TradingView to trigger notifications
alertcondition(buyAllowed, title="Buy Alert", message="Sweep+BOS Buy signal on {{exchange}} {{ticker}} @ {{close}} on {{interval}}")
alertcondition(sellAllowed, title="Sell Alert", message="Sweep+BOS Sell signal on {{exchange}} {{ticker}} @ {{close}} on {{interval}}")
ICT Sweep + FVG Entry (v6) • Pro Pack 📌 ICT Sweep + FVG Entry Pro Pack
This indicator combines key ICT price action concepts with practical execution tools to help traders spot high-probability setups faster and more objectively. It’s designed for scalpers and intraday traders who want to keep their chart clean but never miss critical market structure events.
🔑 Features
Liquidity Pools (HTF)
• Auto-detects recent swing highs/lows from higher timeframes (5m/15m).
• Draws both lines and optional rectangles/zones for clear liquidity areas.
Liquidity Sweeps (BSL/SSL)
• Identifies when price sweeps above/below liquidity pools and rejects back.
• Optional Grade-A sweep filter (wick size + strong re-entry).
Fair Value Gaps (FVGs)
• Highlights bullish/bearish imbalances.
• Optional midline (50%) entry for precision.
• Auto-invalidation when price fully closes inside the gap.
Killzones (New York)
• Highlights AM (9:30–11:30) and PM (14:00–15:30) killzones.
• Option to block signals outside killzones for higher strike rate.
Bias Badge (DR50)
• Displays if price is trading in a Bull, Bear, or Range context based on displacement range midpoint.
SMT Assist (NQ vs ES)
• Detects simple divergences between indices:
Bearish SMT → NQ makes HH while ES doesn’t.
Bullish SMT → NQ makes LL while ES doesn’t.
SL/TP Helper & R:R Label
• Automatically draws stop loss (at sweep extreme) and target (opposite pool or recent swing).
• Displays expected Risk:Reward ratio and blocks entries if below your chosen minimum.
Filters
• ATR filter ensures signals only appear in sufficient volatility.
• Sweep quality filter avoids weak wicks and fake-outs.
🎯 How to Use
Start on HTF (5m/15m) → Identify liquidity zones and bias.
Drop to LTF (1m) → Wait for a liquidity sweep confirmation.
Check for FVG in the sweep’s direction → Look for retest entry.
Use the SL/TP helper to validate your risk/reward before taking the trade.
Focus entries during NY Killzones for maximum effectiveness.
✅ Why this helps
This tool reduces screen time and hesitation by automating repetitive ICT concepts:
Liquidity pools, sweeps, and FVGs are marked automatically.
Killzone timing and SMT divergence are simplified.
Clear visual signals for entries with built-in RR filter help keep your trading mechanical.
⚠️ Disclaimer: This script is for educational purposes only. It does not provide financial advice or guarantee results. Always use proper risk management.
TrueTrading GOLD FLOWIndicador Premiun, delta de alto nivel y estrategico, para miembros activos de la academia.
ICT Sweep + FVG Entry (v6) • Antoine📌 ICT Sweep + FVG Entry (Antoine)
This indicator is designed for price action traders who follow ICT concepts and want a mechanical tool to spot liquidity sweeps, fair value gaps (FVGs), and precise entry signals.
🔎 Key Features
Liquidity Pools (HTF)
• Automatically plots recent swing highs/lows from a higher timeframe (5m/15m).
• These act as Buy Side Liquidity (BSL) and Sell Side Liquidity (SSL) levels where stop orders accumulate.
Sweep Detection
• Identifies when price breaks a pool (BSL/SSL) but closes back inside → a classic liquidity grab.
• Plots a triangle on the chart when a sweep is confirmed.
Fair Value Gap (FVG) Highlighting
• Detects bullish and bearish FVGs on the execution timeframe (ideal for 1m).
• Option to display active FVG zones with shaded boxes.
Entry Signals
• A signal (cross) appears when:
A liquidity sweep occurs.
An FVG forms in the direction of the rejection.
Price retests the FVG (entry at the 50% mid-level or edge).
Alerts Ready
• Get alerted for sweeps (bullish/bearish) and for entry confirmations (long/short FVG retests).
🎯 How to Use
Choose your HTF (5m or 15m) → The indicator maps major liquidity pools.
Drop to LTF (1m) → Wait for a sweep signal at one of the pools.
Confirm with FVG → If an FVG appears in the sweep’s direction, the indicator waits for a retest.
Entry → Enter on the retest of the FVG (edge or 50%).
Risk Management
Stop loss: just beyond the sweep’s wick.
Target: opposite liquidity pool.
Minimum recommended R:R: 1:2.
✅ Why this helps
This tool makes it easier to trade ICT-style setups without missing opportunities:
No need to manually draw every swing high/low.
Automatic FVG detection saves time.
Clear sweep + FVG + retest logic keeps your entries mechanical and disciplined.
⚠️ Disclaimer: This script is for educational purposes only. It does not guarantee profits. Always use proper risk management.
ATEŞ TREND TAKİBİI will continue to improve this based on your feedback. Remember, indicators only provide insights; they do not guarantee results. Success ultimately depends on your own effort and discipline.
This system is designed to combine the data from multiple classic indicators in order to identify the most favorable entry points. In other words, rather than relying on a single signal, it merges the outputs of different indicators to offer more reliable insights.
SAP121212 — Close vs VWAP + Optional RSI (Signals)This indicator combines Supertrend, VWAP with bands, and an optional RSI filter to generate Buy/Sell signals.
How it works
Supertrend Flip (ATR-based): Detects when trend direction changes (from bearish to bullish, or bullish to bearish).
VWAP Band Filter: Signals only trigger if the candle close is beyond the VWAP bands:
Buy = Supertrend flips up AND close > VWAP Upper Band
Sell = Supertrend flips down AND close < VWAP Lower Band
Optional RSI Filter:
Buy requires RSI < 20
Sell requires RSI > 80
Can be enabled/disabled in settings.
Features
Choice of VWAP band calculation mode: Standard Deviation or ATR.
Adjustable ATR/StDev length and multiplier for VWAP bands.
Toggle Supertrend, VWAP lines, and Buy/Sell labels.
Alerts included: add alerts on BUY or SELL conditions (use Once Per Bar Close to avoid intrabar signals).
Use
Works best on intraday or higher timeframes where VWAP is relevant.
Use the RSI filter for more selective signals.
Can be combined with your own stop-loss and risk management rules.
⚠️ Disclaimer: This script is for educational and research purposes only. It is not financial advice. Always test thoroughly and trade at your own risk.
Turtle Body Setup by TradeTech AnalysisOverview
Turtle Body Setup is a minimalist, rules-based pattern detector built around a simple idea: a sequence of shrinking candle bodies (compression) often precedes a directional expansion (breakout). The script identifies those compression phases and then flags the first candle whose body expands significantly beyond the recent average, with polarity taken from the candle’s direction.
This is not a mash-up of many public indicators. It focuses on one original micro-structure concept: strict body-contraction → body-expansion . The logic is fully described below so traders and moderators can understand what it does and how to use it.
How it Works
1. Compression detection (body contraction):
• Over a user-defined window Compression Lookback (N), the script counts strictly shrinking candle bodies (|close-open|).
• When the count ≥ Min Shrinking Candles, we mark the market as in compression.
2. Expansion / Breakout qualification:
• Compute avgBody = SMA(body, N).
• A candle is a breakout when current body > avgBody × Breakout Body Multiplier.
• Polarity: green (close>open) → Bullish breakout; red (close
YBL – PAC PREMIUM COMPACT MEDIUM (6 filas, 1 col. derecha)
📑 Document Structure:
Cover Page → YBL logo + Indicator title.
General Description → What the panel is and its purpose.
Row-by-Row Explanation (6 modules):
Volume with Delta
Power vs USD
NY Session
Climax
Trend / Momentum
Correlation
Visual Example → How to interpret values when green, red, or neutral.
Practical Tips → Quick trading rules (e.g., “if strong Δ + Climax rejection = watch for reversal”).
⚡ Now the same question for you:
Do you prefer the PDF in a technical style (with formulas and detailed calculations), or in a practical style (quick guide for traders, with examples and short phrases)?
3 EMA TRONG 1 NTT CAPITALThe 3 EMA in 1 NTT CAPITAL indicator provides an overview of the market trend with three EMAs of different periods, helping to identify entry and exit points more accurately, thus supporting traders in making quick and effective decisions.