Capiba Custom RSI with Divergences v2
🇬🇧 English
Summary
This indicator is an enhanced and customizable version of the classic RSI, designed to provide clearer and more powerful trading signals. It combines an alternative, more price-sensitive RSI calculation with an automatic divergence detection, which is one of the most effective tools for predicting trend reversals and finding high-probability entry and exit points.
Built upon the compilation of knowledge and open-source codes from the community, this script has been refined to be an all-in-one tool for traders who base their strategies on momentum and trend exhaustion.
Key Features and How to Use
Ultimate RSI and Signal Line (Momentum)
What it is: The main indicator (white line) is an RSI variation that reacts more dynamically to changes in price volatility. It is accompanied by a signal line (orange, by default), which is a moving average of the RSI itself, serving to smooth the indicator and generate crossover signals.
How to use for Entries/Exits:
Buy Signal (Short-Term): Crossover of the RSI line (white) above the signal line (orange).
Sell Signal (Short-Term): Crossover of the RSI line (white) below the signal line (orange). These are momentum signals, ideal for confirming a trend or for scalping.
Automatic Divergence Detection (Reversal Signals) This is the most powerful feature of the indicator. A divergence occurs when the price moves in one direction and the momentum indicator moves in the opposite direction, signaling a likely exhaustion of the current trend.
Bullish Divergence (Green Line):
What it is: The price makes a lower low, but the RSI makes a higher low.
Meaning: Selling pressure is decreasing. It is a strong signal of a potential market bottom and an excellent entry opportunity for a long position.
Bearish Divergence (Red Line):
What it is: The price makes a higher high, but the RSI makes a lower high.
Meaning: Buying pressure is losing strength. It is a strong signal of a potential market top and an excellent exit opportunity for a long position or an entry for a short position.
Customizable Overbought & Oversold Levels
The horizontal lines (default 80 and 20) and the colored areas show when the asset is overextended to the upside (overbought) or downside (oversold), helping to contextualize the divergence and crossover signals.
Recommended Strategy
For maximum effectiveness, combine the signals:
High-Probability Entry (Buy): Look for a Bullish Divergence (green line) forming in the oversold zone. Confirm the entry when the RSI line crosses above its signal line.
High-Probability Exit (Sell): Look for a Bearish Divergence (red line) forming in the overbought zone. Confirm the exit or new short entry when the RSI line crosses below its signal line.
Acknowledgements
This indicator was developed by compiling and customizing excellent open-source ideas and codes shared by the TradingView community. Special thanks to everyone who contributes to the advancement of technical analysis.
Cerca negli script per "entry"
SMC - Complete AnalysisMC COMPLETE TRADING SYSTEM
📊 OVERVIEW
Professional Smart Money Concepts indicator with automated BUY/SELL signals, Entry/SL/TP prices, and 4-level market analysis for disciplined trading.
🎯 MAIN FEATURES
🟢 BUY/🔴 SELL Signals - Clear entry signals with exact prices
📍 ENTRY/SL/TP - Automated price calculations
🎪 Discipline Mode - High-probability setups only
⚡ Confluence Scoring - 6-factor signal validation
🏗️ 4 ANALYSIS LEVELS
Level 1: Market Structure
BOS/CHoCH/MSS detection
Displacement & Range analysis
Internal structure mapping
Level 2: Time-Based
Kill Zones (Asian/London/NY)
Session tracking
Daily/Weekly levels
Level 3: Entry & Risk
Smart entry triggers
Auto risk calculator
Target projections
Level 4: Advanced Analytics
Auto Fibonacci levels
Trend line detection
Smart money flow analysis
Strength meter
⚙️ SETTINGS
Default (Relaxed for more signals):
Minimum Confluence: 3/6
Kill Zone Required: OFF
Strength Bias Required: OFF
Risk per Trade: 2%
Risk:Reward: 3:1
📈 RECOMMENDED PAIRS
EURUSD (Beginners)
GBPUSD (Experienced)
XAUUSD (Best SMC signals)
EURJPY (Good structure)
⏰ BEST TIMEFRAMES
H1 - Recommended balance
H4 - High quality signals
M30 - More frequent signals
🎯 TRADING RULES
Trade ONLY on BUY/SELL signals
Use exact ENTRY/SL/TP prices
Set orders immediately
Wait for SL HIT or TP HIT
No modifications allowed
🔒 DISCIPLINE MODE
Shows signals only when confluence ≥3/6
All other features hidden by default
Simple status table
Forces disciplined trading
💡 USAGE
Wait for BUY or SELL signal
Note ENTRY/SL/TP prices
Execute trade exactly as shown
Hold until exit signal
Repeat
⚠️ IMPORTANT
No signal = No trading
2% risk maximum per trade
London/NY sessions preferred
Patience is key to success
🚀 Professional SMC system for consistent profitability through disciplined trading!
Two Candle Comparison - TMPThis about comparison two candles in chart and gives some idea for entry. this is most suitable for 4H chart
MistaB SMC Navigation ToolkitMistaB SMC Navigation Toolkit
A complete Smart Money Concepts (SMC) toolkit designed for precision navigation of market structure, order flow, and premium/discount trading zones. Perfect for traders following ICT-style concepts and multi-timeframe confluence.
Features
✅ Order Blocks (OBs)
• Automatic bullish & bearish OB detection
• Optional displacement & high-volume filters
• Midline display for quick equilibrium view
• Auto-expiry and broken OB cleanup
✅ Fair Value Gaps (FVGs)
• Bullish & bearish gap detection
• HTF bias filtering for higher accuracy
• Compact boxes with labels
• Automatic removal when filled
✅ Market Structure (BoS / CHoCH)
• Fractal-based swing detection
• Break of Structure & Change of Character labeling
• Dynamic HTF bias dimming
✅ Premium / Discount Zones
• Auto-calculated mid-level
• Highlighted zones for optimal trade placement
✅ Higher Timeframe (HTF) Confirmation
• Configurable confirmation timeframe
• On-chart HTF status label (Bullish / Bearish / Not Required)
✅ Automatic Cleanup System
• Fast or delayed cleanup for expired/broken zones
• Dimmed colors for invalidated levels
How to Use
Set your preferred HTF in the settings.
Look for OB/FVGs aligned with HTF bias.
Enter in discount zones for longs or premium zones for shorts.
Confirm with BoS / CHoCH signals before entry.
Manage trades towards opposing liquidity zones or HTF levels.
Disclaimer
This indicator is for educational purposes only. It does not provide financial advice or guarantee future results. Always practice proper risk management and test thoroughly before live trading.
Dip Hunter [BackQuant]Dip Hunter
What this tool does in plain language
Dip Hunter is a pullback detector designed to find high quality buy-the-dip opportunities inside healthy trends and to avoid random knife catches. It watches for a quick drop from a recent high, checks that the drop happened with meaningful participation and volatility, verifies short-term weakness inside a larger uptrend, then scores the setup and paints the chart so you can act with confidence. It also draws clean entry lines, provides a meter that shows dip strength at a glance, and ships with alerts that match common execution workflows.
How Dip Hunter thinks
It defines a recent swing reference, measures how far price has dipped off that high, and only looks at candidates that meet your minimum percentage drop.
It confirms the dip with real activity by requiring a volume spike and a volatility spike.
It checks structure with two EMAs. Price should be weak in the short term while the larger context remains constructive.
It optionally requires a higher-timeframe trend to be up so you focus on pullbacks in trending markets.
It bundles those checks into a score and shows you the score on the candles and on a gradient meter.
When everything lines up it paints a green triangle below the bar, shades the background, and (if you wish) draws a horizontal entry line at your chosen level.
Inputs and what they mean
Dip Hunter Settings
• Vol Lookback and Vol Spike : The script computes an average volume over the lookback window and flags a spike when current volume is a multiple of that average. A multiplier of 2.0 means today’s volume must be at least double the average. This helps filter noise and focuses on dips that other traders actually traded.
• Fast EMA and Slow EMA : Short-term and medium-term structure references. A dip is more credible if price closes below the fast EMA while the fast EMA is still below the slow EMA during the pullback. That is classic corrective behavior inside a larger trend.
• Price Smooth : Optional smoothing length for price-derived series. Use this if you trade very noisy assets or low timeframes.
• Volatility Len and Vol Spike (volatility) : The script checks both standard deviation and true range against their own averages. If either expands beyond your multiplier the market confirms the move with range.
• Dip % and Lookback Bars : The engine finds the highest high over the lookback window, then computes the percentage drawdown from that high to the current close. Only dips larger than your threshold qualify.
Trend Filter
• Enable Trend Filter : When on, Dip Hunter will only trigger if the market is in an uptrend.
• Trend EMA Period : The longer EMA that defines the session’s backbone trend.
• Minimum Trend Strength : A small positive slope requirement. In practice this means the trend EMA should be rising, and price should be above it. You can raise the value to be more selective.
Entries
• Show Entry Lines : Draws a horizontal guide from the signal bar for a fixed number of bars. Great for limit orders, scaling, or re-tests.
• Line Length (bars) : How far the entry guide extends.
• Min Gap (bars) : Suppresses new entry lines if another dip fired recently. Prevents clutter during choppy sequences.
• Entry Price : Choose the line level. “Low” anchors at the signal candle’s low. “Close” anchors at the signal close. “Dip % Level” anchors at the theoretical level defined by recent_high × (1 − dip%). This lets you work resting orders at a consistent discount.
Heat / Meter
• Color Bars by Score : Colors each candle using a red→white→green gradient. Red is overheated, green is prime dip territory, white is neutral.
• Show Meter Table : Adds a compact gradient strip with a pointer that tracks the current score.
• Meter Cells and Meter Position : Resolution and placement of the meter.
UI Settings
• Show Dip Signals : Plots green triangles under qualifying bars and tints the background very lightly.
• Show EMAs : Plots fast, slow, and the trend EMA (if the trend filter is enabled).
• Bullish, Bearish, Neutral colors : Theme controls for shapes, fills, and bar painting.
Core calculations explained simply
Recent high and dip percent
The script finds the highest high over Lookback Bars , calls it “recent high,” then calculates:
dip% = (recent_high − close) ÷ recent_high × 100.
If dip% is larger than Dip % , condition one passes.
Volume confirmation
It computes a simple moving average of volume over Vol Lookback . If current volume ÷ average volume > Vol Spike , we have a participation spike. It also checks 5-bar ROC of volume. If ROC > 50 the spike is forceful. This gets an extra score point.
Volatility confirmation
Two independent checks:
• Standard deviation of closes vs its own average.
• True range vs ATR.
If either expands beyond Vol Spike (volatility) the move has range. This prevents false triggers from quiet drifts.
Short-term structure
Price should close below the Fast EMA and the fast EMA should be below the Slow EMA at the moment of the dip. That is the anatomy of a pullback rather than a full breakdown.
Macro trend context (optional)
When Enable Trend Filter is on, the Trend EMA must be rising and price must be above it. The logic prefers “micro weakness inside macro strength” which is the highest probability pattern for buying dips.
Signal formation
A valid dip requires:
• dip% > threshold
• volume spike true
• volatility spike true
• close below fast EMA
• fast EMA below slow EMA
If the trend filter is enabled, a rising trend EMA with price above it is also required. When all true, the triangle prints, the background tints, and optional entry lines are drawn.
Scoring and visuals
Binary checks into a continuous score
Each component contributes to a score between 0 and 1. The script then rescales to a centered range (−50 to +50).
• Low or negative scores imply “overheated” conditions and are shaded toward red.
• High positive scores imply “ripe for a dip buy” conditions and are shaded toward green.
• The gradient meter repeats the same logic, with a pointer so you can read the state quickly.
Bar coloring
If you enable “Color Bars by Score,” each candle inherits the gradient. This makes sequences obvious. Red clusters warn you not to buy. White means neutral. Increasing green suggests the pullback is maturing.
EMAs and the trend EMA
• Fast EMA turns down relative to the slow EMA inside the pullback.
• Trend EMA stays rising and above price once the dip exhausts, which is your cue to focus on long setups rather than bottom fishing in downtrends.
Entry lines
When a fresh signal fires and no other signal happened within Min Gap (bars) , the indicator draws a horizontal level for Line Length bars. Use these lines for limit entries at the low, at the close, or at the defined dip-percent level. This keeps your plan consistent across instruments.
Alerts and what they mean
• Market Overheated : Score is deeply negative. Do not chase. Wait for green.
• Close To A Dip : Score has reached a healthy level but the full signal did not trigger yet. Prepare orders.
• Dip Confirmed : First bar of a fresh validated dip. This is the most direct entry alert.
• Dip Active : The dip condition remains valid. You can scale in on re-tests.
• Dip Fading : Score crosses below 0.5 from above. Momentum of the setup is fading. Tighten stops or take partials.
• Trend Blocked Signal : All dip conditions passed but the trend filter is offside. Either reduce risk or skip, depending on your plan.
How to trade with Dip Hunter
Classic pullback in uptrend
Turn on the trend filter.
Watch for a Dip Confirmed alert with green triangle.
Use the entry line at “Dip % Level” to stage a limit order. This keeps your entries consistent across assets and timeframes.
Initial stop under the signal bar’s low or under the next lower EMA band.
First target at prior swing high, second target at a multiple of risk.
If you use partials, trail the remainder under the fast EMA once price reclaims it.
Aggressive intraday scalps
Lower Dip % and Lookback Bars so you catch shallow flags.
Keep Vol Spike meaningful so you only trade when participation appears.
Take quick partials when price reclaims the fast EMA, then exit on Dip Fading if momentum stalls.
Counter-trend probes
Disable the trend filter if you intentionally hunt reflex bounces in downtrends.
Require strong volume and volatility confirmation.
Use smaller size and faster targets. The meter should move quickly from red toward white and then green. If it does not, step aside.
Risk management templates
Stops
• Conservative: below the entry line minus a small buffer or below the signal bar’s low.
• Structural: below the slow EMA if you aim for swing continuation.
• Time stop: if price does not reclaim the fast EMA within N bars, exit.
Position sizing
Use the distance between the entry line and your structural stop to size consistently. The script’s entry lines make this distance obvious.
Scaling
• Scale at the entry line first touch.
• Add only if the meter stays green and price reclaims the fast EMA.
• Stop adding on a Dip Fading alert.
Tuning guide by market and timeframe
Equities daily
• Dip %: 1.5 to 3.0
• Lookback Bars: 5 to 10
• Vol Spike: 1.5 to 2.5
• Volatility Len: 14 to 20
• Trend EMA: 100 or 200
• Keep trend filter on for a cleaner list.
Futures and FX intraday
• Dip %: 0.4 to 1.2
• Lookback Bars: 3 to 7
• Vol Spike: 1.8 to 3.0
• Volatility Len: 10 to 14
• Use Min Gap to avoid clusters during news.
Crypto
• Dip %: 3.0 to 6.0 for majors on higher timeframes, lower on 15m to 1h
• Lookback Bars: 5 to 12
• Vol Spike: 1.8 to 3.0
• ATR and stdev checks help in erratic sessions.
Reading the chart at a glance
• Green triangle below the bar: a validated dip.
• Light green background: the current bar meets the full condition.
• Bar gradient: red is overheated, white is neutral, green is dip-friendly.
• EMAs: fast below slow during the pullback, then reclaim fast EMA on the bounce for quality continuation.
• Trend EMA: a rising spine when the filter is on.
• Entry line: a fixed level to anchor orders and risk.
• Meter pointer: right side toward “Dip” means conditions are maturing.
Why this combination reduces false positives
Any single criterion will trigger too often. Dip Hunter demands a dip off a recent high plus a volume surge plus a volatility expansion plus corrective EMA structure. Optional trend alignment pushes odds further in your favor. The score and meter visualize how many of these boxes you are actually ticking, which is more reliable than a binary dot.
Limitations and practical tips
• Thin or illiquid symbols can spoof volume spikes. Use larger Vol Lookback or raise Vol Spike .
• Sideways markets will show frequent small dips. Increase Dip % or keep the trend filter on.
• News candles can blow through entry lines. Widen stops or skip around known events.
• If you see many back-to-back triangles, raise Min Gap to keep only the best setups.
Quick setup recipes
• Clean swing trader: Trend filter on, Dip % 2.0 to 3.0, Vol Spike 2.0, Volatility Len 14, Fast 20 EMA, Slow 50 EMA, Trend 100 EMA.
• Fast intraday scalper: Trend filter off, Dip % 0.7 to 1.0, Vol Spike 2.5, Volatility Len 10, Fast 9 EMA, Slow 21 EMA, Min Gap 10 bars.
• Crypto swing: Trend filter on, Dip % 4.0, Vol Spike 2.0, Volatility Len 14, Fast 20 EMA, Slow 50 EMA, Trend 200 EMA.
Summary
Dip Hunter is a focused pullback engine. It quantifies a real dip off a recent high, validates it with volume and volatility expansion, enforces corrective structure with EMAs, and optionally restricts signals to an uptrend. The score, bar gradient, and meter make reading conditions instant. Entry lines and alerts turn that read into an executable plan. Tune the thresholds to your market and timeframe, then let the tool keep you patient in red, selective in white, and decisive in green.
RSI + MACD Long-Only StrategyRSI + MACD Long-Only Strategy
Overview: Momentum-based, long-only strategy combining RSI and MACD. Entries favor upside momentum; exits trigger on momentum fades or risk targets. Signals are state-gated so you get one exit per entry (no multiple exits without a prior entry).
Entry conditions:
RSI crosses above the midline (default 50) while MACD is bullish (MACD > Signal, optionally MACD > 0), OR
MACD crosses above its Signal while RSI is at/above the midline.
Optional filters:
EMA trend filter: only enter if price > EMA(n).
Oversold context: only enter within N bars after RSI dipped below the oversold threshold.
Exit conditions:
RSI crosses below the midline, OR
MACD crosses below its Signal with MACD histogram ≤ 0.
Optional risk exit: Take Profit / Stop Loss based on percentage from average entry price.
Risk management:
Inputs: Use TP/SL (on/off), TP% (default 3.0), SL% (default 1.5).
Implements protective strategy.exit (limit/stop) while in position.
Signal-based exit uses strategy.close to flatten.
Position management:
Long-only, no pyramiding (single position at a time).
Internal state ensures entries occur only when flat and exits only when in a position.
Inputs you can tune:
RSI: length, overbought, oversold, midline.
MACD: fast length, slow length, signal length; toggle “Require MACD > 0”.
Signals: oversold lookback window; EMA trend on/off and EMA length.
Risk: TP% and SL%.
Visuals: show entry/exit markers, bar coloring; optional debug background on raw triggers.
Visuals and alerts:
Plots EMA (optional), draws entry/exit markers, optional bar coloring, and a faint background on raw long triggers to aid tuning.
Alert conditions provided for entries and exits.
Notes:
Designed for bar-close evaluation; performance varies by symbol/timeframe—tune inputs accordingly.
Long-only; intended for trend-following momentum with basic risk control.
Not financial advice.
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.
Mutanabby_AI | Algo Pro Strategy# Mutanabby_AI | Algo Pro Strategy: Advanced Candlestick Pattern Trading System
## Strategy Overview
The Mutanabby_AI Algo Pro Strategy represents a systematic approach to automated trading based on advanced candlestick pattern recognition and multi-layered technical filtering. This strategy transforms traditional engulfing pattern analysis into a comprehensive trading system with sophisticated risk management and flexible position sizing capabilities.
The strategy operates on a long-only basis, entering positions when bullish engulfing patterns meet specific technical criteria and exiting when bearish engulfing patterns indicate potential trend reversals. The system incorporates multiple confirmation layers to enhance signal reliability while providing comprehensive customization options for different trading approaches and risk management preferences.
## Core Algorithm Architecture
The strategy foundation relies on bullish and bearish engulfing candlestick pattern recognition enhanced through technical analysis filtering mechanisms. Entry signals require simultaneous satisfaction of four distinct criteria: confirmed bullish engulfing pattern formation, candle stability analysis indicating decisive price action, RSI momentum confirmation below specified thresholds, and price decline verification over adjustable lookback periods.
The candle stability index measures the ratio between candlestick body size and total range including wicks, ensuring only well-formed patterns with clear directional conviction generate trading signals. This filtering mechanism eliminates indecisive market conditions where pattern reliability diminishes significantly.
RSI integration provides momentum confirmation by requiring oversold conditions before entry signal generation, ensuring alignment between pattern formation and underlying momentum characteristics. The RSI threshold remains fully adjustable to accommodate different market conditions and volatility environments.
Price decline verification examines whether current prices have decreased over a specified period, confirming that bullish engulfing patterns occur after meaningful downward movement rather than during sideways consolidation phases. This requirement enhances the probability of successful reversal pattern completion.
## Advanced Position Management System
The strategy incorporates dual position sizing methodologies to accommodate different account sizes and risk management approaches. Percentage-based position sizing calculates trade quantities as equity percentages, enabling consistent risk exposure across varying account balances and market conditions. This approach proves particularly valuable for systematic trading approaches and portfolio management applications.
Fixed quantity sizing provides precise control over trade sizes independent of account equity fluctuations, offering predictable position management for specific trading strategies or when implementing precise risk allocation models. The system enables seamless switching between sizing methods through simple configuration adjustments.
Position quantity calculations integrate seamlessly with TradingView's strategy testing framework, ensuring accurate backtesting results and realistic performance evaluation across different market conditions and time periods. The implementation maintains consistency between historical testing and live trading applications.
## Comprehensive Risk Management Framework
The strategy features dual stop loss methodologies addressing different risk management philosophies and market analysis approaches. Entry price-based stop losses calculate stop levels as fixed percentages below entry prices, providing predictable risk exposure and consistent risk-reward ratio maintenance across all trades.
The percentage-based stop loss system enables precise risk control by limiting maximum loss per trade to predetermined levels regardless of market volatility or entry timing. This approach proves essential for systematic trading strategies requiring consistent risk parameters and capital preservation during adverse market conditions.
Lowest low-based stop losses identify recent price support levels by analyzing minimum prices over adjustable lookback periods, placing stops below these technical levels with additional buffer percentages. This methodology aligns stop placement with market structure rather than arbitrary percentage calculations, potentially improving stop loss effectiveness during normal market fluctuations.
The lookback period adjustment enables optimization for different timeframes and market characteristics, with shorter periods providing tighter stops for active trading and longer periods offering broader stops suitable for position trading approaches. Buffer percentage additions ensure stops remain below obvious support levels where other market participants might place similar orders.
## Visual Customization and Interface Design
The strategy provides comprehensive visual customization through eight predefined color schemes designed for different chart backgrounds and personal preferences. Color scheme options include Classic bright green and red combinations, Ocean themes featuring blue and orange contrasts, Sunset combinations using gold and crimson, and Neon schemes providing high visibility through bright color selections.
Professional color schemes such as Forest, Royal, and Fire themes offer sophisticated alternatives suitable for business presentations and professional trading environments. The Custom color scheme enables precise color selection through individual color picker controls, maintaining maximum flexibility for specific visual requirements.
Label styling options accommodate different chart analysis preferences through text bubble, triangle, and arrow display formats. Size adjustments range from tiny through huge settings, ensuring appropriate visual scaling across different screen resolutions and chart configurations. Text color customization maintains readability across various chart themes and background selections.
## Signal Quality Enhancement Features
The strategy incorporates signal filtering mechanisms designed to eliminate repetitive signal generation during choppy market conditions. The disable repeating signals option prevents consecutive identical signals until opposing conditions occur, reducing overtrading during consolidation phases and improving overall signal quality.
Signal confirmation requirements ensure all technical criteria align before trade execution, reducing false signal occurrence while maintaining reasonable trading frequency for active strategies. The multi-layered approach balances signal quality against opportunity frequency through adjustable parameter optimization.
Entry and exit visualization provides clear trade identification through customizable labels positioned at relevant price levels. Stop loss visualization displays active risk levels through colored line plots, ensuring complete transparency regarding current risk management parameters during live trading operations.
## Implementation Guidelines and Optimization
The strategy performs effectively across multiple timeframes with optimal results typically occurring on intermediate timeframes ranging from fifteen minutes through four hours. Higher timeframes provide more reliable pattern formation and reduced false signal occurrence, while lower timeframes increase trading frequency at the expense of some signal reliability.
Parameter optimization should focus on RSI threshold adjustments based on market volatility characteristics and candlestick pattern timeframe analysis. Higher RSI thresholds generate fewer but potentially higher quality signals, while lower thresholds increase signal frequency with corresponding reliability considerations.
Stop loss method selection depends on trading style preferences and market analysis philosophy. Entry price-based stops suit systematic approaches requiring consistent risk parameters, while lowest low-based stops align with technical analysis methodologies emphasizing market structure recognition.
## Performance Considerations and Risk Disclosure
The strategy operates exclusively on long positions, making it unsuitable for bear market conditions or extended downtrend periods. Users should consider market environment analysis and broader trend assessment before implementing the strategy during adverse market conditions.
Candlestick pattern reliability varies significantly across different market conditions, with higher reliability typically occurring during trending markets compared to ranging or volatile conditions. Strategy performance may deteriorate during periods of reduced pattern effectiveness or increased market noise.
Risk management through stop loss implementation remains essential for capital preservation during adverse market movements. The strategy does not guarantee profitable outcomes and requires proper position sizing and risk management to prevent significant capital loss during unfavorable trading periods.
## Technical Specifications
The strategy utilizes standard TradingView Pine Script functions ensuring compatibility across all supported instruments and timeframes. Default configuration employs 14-period RSI calculations, adjustable candle stability thresholds, and customizable price decline verification periods optimized for general market conditions.
Initial capital settings default to $10,000 with percentage-based equity allocation, though users can adjust these parameters based on account size and risk tolerance requirements. The strategy maintains detailed trade logs and performance metrics through TradingView's integrated backtesting framework.
Alert integration enables real-time notification of entry and exit signals, stop loss executions, and other significant trading events. The comprehensive alert system supports automated trading applications and manual trade management approaches through detailed signal information provision.
## Conclusion
The Mutanabby_AI Algo Pro Strategy provides a systematic framework for candlestick pattern trading with comprehensive risk management and position sizing flexibility. The strategy's strength lies in its multi-layered confirmation approach and sophisticated customization options, enabling adaptation to various trading styles and market conditions.
Successful implementation requires understanding of candlestick pattern analysis principles and appropriate parameter optimization for specific market characteristics. The strategy serves traders seeking automated execution of proven technical analysis techniques while maintaining comprehensive control over risk management and position sizing methodologies.
LANZ Strategy 7.0🔷 LANZ Strategy 7.0 — Multi-Session Breakout Logic with Midnight-Cross Support, Dynamic SL/TP, Multi-Account Lot Sizing & Real-Time Visual Tracking
LANZ Strategy 7.0 is a robust, visually-driven trading indicator designed to capture high-probability breakouts from a customizable market session.
It includes full support for sessions that cross midnight, dynamic calculation of Entry Price (EP), Stop Loss (SL) and Take Profit (TP) levels, and a multi-account lot sizing panel for precise risk management.
The system is built to only trigger one trade per day and manages the full trade lifecycle with automated visual cleanup and detailed alerts.
📌 This is an indicator, not a strategy — it does not place trades automatically, but provides exact entry setups, SL/TP levels, risk-based lot size guidance, and real-time alerts for execution.
🧠 Core Logic & Features
🚀 Entry Signal (BUY/SELL)
The trading day begins with a Decision Session (yellow box) where the high/low range is recorded.
Once the Operative Session starts (blue zone), the first touch of the session’s high triggers a BUY setup, and the first touch of the session’s low triggers a SELL setup.
Only one valid trade can be triggered per day — the system locks after the first signal.
⚙️ Dynamic Stop Loss & Take Profit
SL levels are derived from the Decision Session high/low using customizable Fibonacci multipliers (independent for BUY and SELL).
TP is dynamically calculated from the EP–SL distance using a user-defined Risk:Reward ratio (R:R).
All EP, SL, and TP levels are drawn as independent lines with customizable colors, label text size, and style.
⏳ Session & Midnight-Cross Support
Works with any custom Decision/Operative session hours, including sessions that start one day and end the next.
Properly tracks time zones using New York session time for consistency.
Includes Cutoff Time: after this limit, no new entries are allowed, and all visuals are auto-cleared if no trade was triggered.
💰 Multi-Account Risk-Based Lot Sizing
Supports up to 5 independent accounts.
Each account can have:
Own capital
Own risk percentage per trade
Lot size is auto-calculated based on:
SL distance (in pips or points)
Pip value (auto-detected for Forex or manually set for indices/commodities)
Results are displayed in a clean lot size info panel.
🖼️ Real-Time Visual Tracking
Dynamic updates to all levels during the Decision Session.
EP, SL, TP lines update if the session high/low changes before the Operative Session starts.
Trade result labels:
SL hit → “–1.00%” in red
TP hit → “+X.XX%” in green
Manual close at Operative End → shows actual % result in blue or purple.
🔔 Alerts for Every Key Event
Session start notification
EP entry triggered
SL or TP hit
Manual close at session end
Missed entry due to cutoff
🧭 Execution Flow
Decision Session (Yellow) — Capture high/low range.
Operative Session (Blue) — First touch of high = BUY setup; first touch of low = SELL setup.
Plot EP, SL, TP lines + calculate lot sizes for all active accounts.
Track trade until SL, TP, or Operative End.
If no entry triggered by Cutoff Time → clean all visuals and notify.
💡 Ideal For:
Traders who operate breakout logic on specific sessions (NY, London, Asian, or custom).
Those managing multiple accounts with strict risk per trade.
Anyone trading assets with sessions crossing midnight.
👨💻 Credits:
Developer: LANZ
Logic Design: LANZ
Built For: Multi-timeframe session breakouts with high precision.
Purpose: One-shot trade per day, risk consistency, and total visual clarity.
Mutanabby_AI __ OSC+ST+SQZMOMMutanabby_AI OSC+ST+SQZMOM: Multi-Component Trading Analysis Tool
Overview
The Mutanabby_AI OSC+ST+SQZMOM indicator combines three proven technical analysis components into a unified trading system, providing comprehensive market analysis through integrated oscillator signals, trend identification, and volatility assessment.
Core Components
Wave Trend Oscillator (OSC): Identifies overbought and oversold market conditions using exponential moving average calculations. Key threshold levels include overbought zones at 60 and 53, with oversold areas marked at -60 and -53. Crossover signals between the two oscillator lines generate entry opportunities, displayed as colored circles on the chart for easy identification.
Supertrend Indicator (ST): Determines overall market direction using Average True Range calculations with a 2.5 factor and 10-period ATR configuration. Green lines indicate confirmed uptrends while red lines signal downtrend conditions. The indicator automatically adapts to market volatility changes, providing reliable trend identification across different market environments.
Squeeze Momentum (SQZMOM): Compares Bollinger Bands with Keltner Channels to identify consolidation periods and potential breakout scenarios. Black squares indicate squeeze conditions representing low volatility periods, green triangles signal confirmed upward breakouts, and red triangles mark downward breakout confirmations.
Signal Generation Logic
Long Entry Conditions:
Green triangles from Squeeze Momentum component
Supertrend line transitioning to green
Bullish crossovers in Wave Trend Oscillator from oversold territory
Short Entry Conditions:
Red triangles from Squeeze Momentum component
Supertrend line transitioning to red
Bearish crossovers in Wave Trend Oscillator from overbought territory
Automated Risk Management
The indicator incorporates comprehensive risk management through ATR-based calculations. Stop losses are automatically positioned at 3x ATR distance from entry points, while three progressive take profit targets are established at 1x, 2x, and 3x ATR multiples respectively. All risk management levels are clearly displayed on the chart using colored lines and informative labels.
When trend direction changes, the system automatically clears previous risk levels and generates new calculations, ensuring all risk parameters remain current and relevant to existing market conditions.
Alert and Notification System
Comprehensive alert framework includes trend change notifications with complete trade setup details, squeeze release alerts for breakout opportunity identification, and trend weakness warnings for active position management. Alert messages contain specific trading pair information, timeframe specifications, and all relevant entry and exit level data.
Implementation Guidelines
Timeframe Selection: Higher timeframes including 4-hour and daily charts provide the most reliable signals for position trading strategies. One-hour charts demonstrate good performance for day trading applications, while 15-30 minute timeframes enable scalping approaches with enhanced risk management requirements.
Risk Management Integration: Limit individual trade risk to 1-2% of total capital using the automatically calculated stop loss levels for precise position sizing. Implement systematic profit-taking at each target level while adjusting stop loss positions to protect accumulated gains.
Market Volatility Adaptation: The indicator's ATR-based calculations automatically adjust to changing market volatility conditions. During high volatility periods, risk management levels appropriately widen, while low volatility conditions result in tighter risk parameters.
Optimization Techniques
Combine indicator signals with fundamental support and resistance level analysis for enhanced signal validation. Monitor volume patterns to confirm breakout strength, particularly when Squeeze Momentum signals develop. Maintain awareness of scheduled economic events that may influence market behavior independent of technical indicator signals.
The multi-component design provides internal signal confirmation through multiple alignment requirements, significantly reducing false signal occurrence while maintaining reasonable trade frequency for active trading strategies.
Technical Specifications
The Wave Trend Oscillator utilizes customizable channel length (default 10) and average length (default 21) parameters for optimal market sensitivity. Supertrend calculations employ ATR period of 10 with factor multiplier of 2.5 for balanced signal quality. Squeeze Momentum analysis uses Bollinger Band length of 20 periods with 2.0 multiplication factor, combined with Keltner Channel length of 20 periods and 1.5 multiplication factor.
Conclusion
The Mutanabby_AI OSC+ST+SQZMOM indicator provides a systematic approach to technical market analysis through the integration of proven oscillator, trend, and momentum components. Success requires thorough understanding of each element's functionality and disciplined implementation of proper risk management principles.
Practice with demo trading accounts before live implementation to develop familiarity with signal interpretation and trade management procedures. The indicator's systematic approach effectively reduces emotional decision-making while providing clear, objective guidelines for trade entry, management, and exit strategies across various market conditions.
Game Theory Trading StrategyGame Theory Trading Strategy: Explanation and Working Logic
This Pine Script (version 5) code implements a trading strategy named "Game Theory Trading Strategy" in TradingView. Unlike the previous indicator, this is a full-fledged strategy with automated entry/exit rules, risk management, and backtesting capabilities. It uses Game Theory principles to analyze market behavior, focusing on herd behavior, institutional flows, liquidity traps, and Nash equilibrium to generate buy (long) and sell (short) signals. Below, I'll explain the strategy's purpose, working logic, key components, and usage tips in detail.
1. General Description
Purpose: The strategy identifies high-probability trading opportunities by combining Game Theory concepts (herd behavior, contrarian signals, Nash equilibrium) with technical analysis (RSI, volume, momentum). It aims to exploit market inefficiencies caused by retail herd behavior, institutional flows, and liquidity traps. The strategy is designed for automated trading with defined risk management (stop-loss/take-profit) and position sizing based on market conditions.
Key Features:
Herd Behavior Detection: Identifies retail panic buying/selling using RSI and volume spikes.
Liquidity Traps: Detects stop-loss hunting zones where price breaks recent highs/lows but reverses.
Institutional Flow Analysis: Tracks high-volume institutional activity via Accumulation/Distribution and volume spikes.
Nash Equilibrium: Uses statistical price bands to assess whether the market is in equilibrium or deviated (overbought/oversold).
Risk Management: Configurable stop-loss (SL) and take-profit (TP) percentages, dynamic position sizing based on Game Theory (minimax principle).
Visualization: Displays Nash bands, signals, background colors, and two tables (Game Theory status and backtest results).
Backtesting: Tracks performance metrics like win rate, profit factor, max drawdown, and Sharpe ratio.
Strategy Settings:
Initial capital: $10,000.
Pyramiding: Up to 3 positions.
Position size: 10% of equity (default_qty_value=10).
Configurable inputs for RSI, volume, liquidity, institutional flow, Nash equilibrium, and risk management.
Warning: This is a strategy, not just an indicator. It executes trades automatically in TradingView's Strategy Tester. Always backtest thoroughly and use proper risk management before live trading.
2. Working Logic (Step by Step)
The strategy processes each bar (candle) to generate signals, manage positions, and update performance metrics. Here's how it works:
a. Input Parameters
The inputs are grouped for clarity:
Herd Behavior (🐑):
RSI Period (14): For overbought/oversold detection.
Volume MA Period (20): To calculate average volume for spike detection.
Herd Threshold (2.0): Volume multiplier for detecting herd activity.
Liquidity Analysis (💧):
Liquidity Lookback (50): Bars to check for recent highs/lows.
Liquidity Sensitivity (1.5): Volume multiplier for trap detection.
Institutional Flow (🏦):
Institutional Volume Multiplier (2.5): For detecting large volume spikes.
Institutional MA Period (21): For Accumulation/Distribution smoothing.
Nash Equilibrium (⚖️):
Nash Period (100): For calculating price mean and standard deviation.
Nash Deviation (0.02): Multiplier for equilibrium bands.
Risk Management (🛡️):
Use Stop-Loss (true): Enables SL at 2% below/above entry price.
Use Take-Profit (true): Enables TP at 5% above/below entry price.
b. Herd Behavior Detection
RSI (14): Checks for extreme conditions:
Overbought: RSI > 70 (potential herd buying).
Oversold: RSI < 30 (potential herd selling).
Volume Spike: Volume > SMA(20) x 2.0 (herd_threshold).
Momentum: Price change over 10 bars (close - close ) compared to its SMA(20).
Herd Signals:
Herd Buying: RSI > 70 + volume spike + positive momentum = Retail buying frenzy (red background).
Herd Selling: RSI < 30 + volume spike + negative momentum = Retail selling panic (green background).
c. Liquidity Trap Detection
Recent Highs/Lows: Calculated over 50 bars (liquidity_lookback).
Psychological Levels: Nearest round numbers (e.g., $100, $110) as potential stop-loss zones.
Trap Conditions:
Up Trap: Price breaks recent high, closes below it, with a volume spike (volume > SMA x 1.5).
Down Trap: Price breaks recent low, closes above it, with a volume spike.
Visualization: Traps are marked with small red/green crosses above/below bars.
d. Institutional Flow Analysis
Volume Check: Volume > SMA(20) x 2.5 (inst_volume_mult) = Institutional activity.
Accumulation/Distribution (AD):
Formula: ((close - low) - (high - close)) / (high - low) * volume, cumulated over time.
Smoothed with SMA(21) (inst_ma_length).
Accumulation: AD > MA + high volume = Institutions buying.
Distribution: AD < MA + high volume = Institutions selling.
Smart Money Index: (close - open) / (high - low) * volume, smoothed with SMA(20). Positive = Smart money buying.
e. Nash Equilibrium
Calculation:
Price mean: SMA(100) (nash_period).
Standard deviation: stdev(100).
Upper Nash: Mean + StdDev x 0.02 (nash_deviation).
Lower Nash: Mean - StdDev x 0.02.
Conditions:
Near Equilibrium: Price between upper and lower Nash bands (stable market).
Above Nash: Price > upper band (overbought, sell potential).
Below Nash: Price < lower band (oversold, buy potential).
Visualization: Orange line (mean), red/green lines (upper/lower bands).
f. Game Theory Signals
The strategy generates three types of signals, combined into long/short triggers:
Contrarian Signals:
Buy: Herd selling + (accumulation or down trap) = Go against retail panic.
Sell: Herd buying + (distribution or up trap).
Momentum Signals:
Buy: Below Nash + positive smart money + no herd buying.
Sell: Above Nash + negative smart money + no herd selling.
Nash Reversion Signals:
Buy: Below Nash + rising close (close > close ) + volume > MA.
Sell: Above Nash + falling close + volume > MA.
Final Signals:
Long Signal: Contrarian buy OR momentum buy OR Nash reversion buy.
Short Signal: Contrarian sell OR momentum sell OR Nash reversion sell.
g. Position Management
Position Sizing (Minimax Principle):
Default: 1.0 (10% of equity).
In Nash equilibrium: Reduced to 0.5 (conservative).
During institutional volume: Increased to 1.5 (aggressive).
Entries:
Long: If long_signal is true and no existing long position (strategy.position_size <= 0).
Short: If short_signal is true and no existing short position (strategy.position_size >= 0).
Exits:
Stop-Loss: If use_sl=true, set at 2% below/above entry price.
Take-Profit: If use_tp=true, set at 5% above/below entry price.
Pyramiding: Up to 3 concurrent positions allowed.
h. Visualization
Nash Bands: Orange (mean), red (upper), green (lower).
Background Colors:
Herd buying: Red (90% transparency).
Herd selling: Green.
Institutional volume: Blue.
Signals:
Contrarian buy/sell: Green/red triangles below/above bars.
Liquidity traps: Red/green crosses above/below bars.
Tables:
Game Theory Table (Top-Right):
Herd Behavior: Buying frenzy, selling panic, or normal.
Institutional Flow: Accumulation, distribution, or neutral.
Nash Equilibrium: In equilibrium, above, or below.
Liquidity Status: Trap detected or safe.
Position Suggestion: Long (green), Short (red), or Wait (gray).
Backtest Table (Bottom-Right):
Total Trades: Number of closed trades.
Win Rate: Percentage of winning trades.
Net Profit/Loss: In USD, colored green/red.
Profit Factor: Gross profit / gross loss.
Max Drawdown: Peak-to-trough equity drop (%).
Win/Loss Trades: Number of winning/losing trades.
Risk/Reward Ratio: Simplified Sharpe ratio (returns / drawdown).
Avg Win/Loss Ratio: Average win per trade / average loss per trade.
Last Update: Current time.
i. Backtesting Metrics
Tracks:
Total trades, winning/losing trades.
Win rate (%).
Net profit ($).
Profit factor (gross profit / gross loss).
Max drawdown (%).
Simplified Sharpe ratio (returns / drawdown).
Average win/loss ratio.
Updates metrics on each closed trade.
Displays a label on the last bar with backtest period, total trades, win rate, and net profit.
j. Alerts
No explicit alertconditions defined, but you can add them for long_signal and short_signal (e.g., alertcondition(long_signal, "GT Long Entry", "Long Signal Detected!")).
Use TradingView's alert system with Strategy Tester outputs.
3. Usage Tips
Timeframe: Best for H1-D1 timeframes. Shorter frames (M1-M15) may produce noisy signals.
Settings:
Risk Management: Adjust sl_percent (e.g., 1% for volatile markets) and tp_percent (e.g., 3% for scalping).
Herd Threshold: Increase to 2.5 for stricter herd detection in choppy markets.
Liquidity Lookback: Reduce to 20 for faster markets (e.g., crypto).
Nash Period: Increase to 200 for longer-term analysis.
Backtesting:
Use TradingView's Strategy Tester to evaluate performance.
Check win rate (>50%), profit factor (>1.5), and max drawdown (<20%) for viability.
Test on different assets/timeframes to ensure robustness.
Live Trading:
Start with a demo account.
Combine with other indicators (e.g., EMAs, support/resistance) for confirmation.
Monitor liquidity traps and institutional flow for context.
Risk Management:
Always use SL/TP to limit losses.
Adjust position_size for risk tolerance (e.g., 5% of equity for conservative trading).
Avoid over-leveraging (pyramiding=3 can amplify risk).
Troubleshooting:
If no trades are executed, check signal conditions (e.g., lower herd_threshold or liquidity_sensitivity).
Ensure sufficient historical data for Nash and liquidity calculations.
If tables overlap, adjust position.top_right/bottom_right coordinates.
4. Key Differences from the Previous Indicator
Indicator vs. Strategy: The previous code was an indicator (VP + Game Theory Integrated Strategy) focused on visualization and alerts. This is a strategy with automated entries/exits and backtesting.
Volume Profile: Absent in this strategy, making it lighter but less focused on high-volume zones.
Wick Analysis: Not included here, unlike the previous indicator's heavy reliance on wick patterns.
Backtesting: This strategy includes detailed performance metrics and a backtest table, absent in the indicator.
Simpler Signals: Focuses on Game Theory signals (contrarian, momentum, Nash reversion) without the "Power/Ultra Power" hierarchy.
Risk Management: Explicit SL/TP and dynamic position sizing, not present in the indicator.
5. Conclusion
The "Game Theory Trading Strategy" is a sophisticated system leveraging herd behavior, institutional flows, liquidity traps, and Nash equilibrium to trade market inefficiencies. It’s designed for traders who understand Game Theory principles and want automated execution with robust risk management. However, it requires thorough backtesting and parameter optimization for specific markets (e.g., forex, crypto, stocks). The backtest table and visual aids make it easy to monitor performance, but always combine with other analysis tools and proper capital management.
If you need help with backtesting, adding alerts, or optimizing parameters, let me know!
Ultimate Scalping Strategy v2Strategy Overview
This is a versatile scalping strategy designed primarily for low timeframes (like 1-min, 3-min, or 5-min charts). Its core logic is based on a classic EMA (Exponential Moving Average) crossover system, which is then filtered by the VWAP (Volume-Weighted Average Price) to confirm the trade's direction in alignment with the market's current intraday sentiment.
The strategy is highly customizable, allowing traders to add layers of confirmation, control trade direction, and manage exits with precision.
Core Strategy Logic
The strategy's entry signals are generated when two primary conditions are met simultaneously:
Momentum Shift (EMA Crossover): It looks for a crossover between a fast EMA (default length 9) and a slow EMA (default length 21).
Buy Signal: The fast EMA crosses above the slow EMA, indicating a potential shift to bullish momentum.
Sell Signal: The fast EMA crosses below the slow EMA, indicating a potential shift to bearish momentum.
Trend/Sentiment Filter (VWAP): The crossover signal is only considered valid if the price is on the "correct" side of the VWAP.
For a Buy Signal: The price must be trading above the VWAP. This confirms that, on average, buyers are in control for the day.
For a Sell Signal: The price must be trading below the VWAP. This confirms that sellers are generally in control.
Confirmation Filters (Optional)
To increase the reliability of the signals and reduce false entries, the strategy includes two optional confirmation filters:
Price Action Filter (Engulfing Candle): If enabled (Use Price Action), the entry signal is only valid if the crossover candle is also an "engulfing" candle.
A Bullish Engulfing candle is a large green candle that completely "engulfs" the body of the previous smaller red candle, signaling strong buying pressure.
A Bearish Engulfing candle is a large red candle that engulfs the previous smaller green candle, signaling strong selling pressure.
Volume Filter (Volume Spike): If enabled (Use Volume Confirmation), the entry signal must be accompanied by a surge in volume. This is confirmed if the volume of the entry candle is greater than its recent moving average (default 20 periods). This ensures the move has strong participation behind it.
Exit Strategy
A position can be closed in one of three ways, creating a comprehensive exit plan:
Stop Loss (SL): A fixed stop loss is set at a level determined by a multiple of the Average True Range (ATR). For example, a 1.5 multiplier places the stop 1.5 times the current ATR value away from the entry price. This makes the stop dynamic, adapting to market volatility.
Take Profit (TP): A fixed take profit is also set using an ATR multiplier. By setting the TP multiplier higher than the SL multiplier (e.g., 2.0 for TP vs. 1.5 for SL), the strategy aims for a positive risk-to-reward ratio on each trade.
Exit on Opposite Signal (Reversal): If enabled, an open position will be closed automatically if a valid entry signal in the opposite direction appears. For example, if you are in a long trade and a valid short signal occurs, the strategy will exit the long position immediately. This feature turns the strategy into more of a reversal system.
Key Features & Customization
Trade Direction Control: You can enable or disable long and short trades independently using the Allow Longs and Allow Shorts toggles. This is useful for trading in harmony with a higher-timeframe trend (e.g., only allowing longs in a bull market).
Visual Plots: The strategy plots the Fast EMA, Slow EMA, and VWAP on the chart for easy visualization of the setup. It also plots up/down arrows to mark where valid buy and sell signals occurred.
Dynamic SL/TP Line Plotting: A standout feature is that the strategy automatically draws the exact Stop Loss and Take Profit price lines on the chart for every active trade. These lines appear when a trade is entered and disappear as soon as it is closed, providing a clear visual of your risk and reward targets.
Alerts: The script includes built-in alertcondition calls. This allows you to create alerts in TradingView that can notify you on your phone or execute trades automatically via a webhook when a long or short signal is generated.
ATR % Line from LoD/HoDATR % Line Trading Indicator - Entry Filter Tool
This Pine Script creates a sophisticated ATR (Average True Range) percentage-based entry filter indicator for TradingView that helps traders avoid buying overextended stocks and identify optimal entry zones based on volatility.
Core Functionality - Entry Discipline
The script calculates a maximum entry threshold by taking a percentage of the Average True Range (ATR) and projecting it from the current day's low. This creates a dynamic "no-buy zone" that adapts to market volatility, helping traders avoid purchasing stocks that have already moved too far from their daily base.
Key Calculation:
Measures the ATR over a specified period (default: 14 bars)
Takes a user-defined percentage of that ATR (default: 25%)
Projects this distance from the day's low to establish a maximum entry threshold
Entry Rule: Avoid buying when price exceeds this ATR% level from the daily low or high.
Visual Features
Entry Threshold Line:
Draws a horizontal line at the calculated maximum entry level
Line extends forward for clear visualization of the "no-buy zone"
Red zones above this line indicate overextended conditions
Fully customizable appearance with color, width, and style options
Smart Entry Alerts:
Optional labels show the ATR percentage threshold and exact price level
Visual confirmation when stocks are trading in acceptable entry zones vs. extended areas
Real-Time Monitoring Table:
Displays current distance from daily low as ATR percentage
Shows whether current price is in "safe entry zone" or "extended territory"
Customizable display options for clean chart analysis
Practical Applications for Entry Management
Avoiding Extended Entries:
Primary Use: Don't initiate long positions when price is more than X% ATR from the daily low
Prevents buying stocks that have already made their daily move
Reduces risk of buying at temporary tops within the trading session
Entry Zone Identification:
Price trading below the ATR% line = potential entry opportunity
Price trading above the ATR% line = wait for pullback or skip the trade
Combines volatility analysis with momentum discipline
Risk Management Benefits:
Improved Entry Timing: Enter closer to daily support levels
Better Risk/Reward: Shorter distance to stop loss (daily low)
Reduced Chasing: Systematic approach prevents FOMO-driven entries
Volatility Awareness: Higher volatility stocks get wider acceptable entry ranges
Configuration for Entry Filtering
Key Settings for Entry Management:
ATR Percentage: Set your maximum acceptable extension (15-30% common for day trading)
Reference Point: Use "Low" to measure extension from daily base
Line Style: Make highly visible to clearly see entry threshold
Alert Integration: Visual confirmation of entry-friendly zones
Typical Usage Scenarios:
Conservative Entries: 15-20% ATR from daily low
Moderate Extensions: 25-35% ATR for stronger momentum plays
Aggressive Setups: 40%+ ATR for breakout situations (use with caution)
Entry Strategy Integration
Pre-Market Planning:
Set ATR% threshold based on stock's typical volatility
Identify key levels where entries become unfavorable
Plan alternative entry strategies for extended stocks
Intraday Execution:
Monitor real-time ATR% extension from daily low
Avoid new long positions when threshold is exceeded
Wait for pullbacks to re-enter acceptable entry zones
This tool transforms volatility analysis into practical entry discipline, helping traders maintain consistent entry standards and avoid the costly mistake of chasing overextended stocks. By respecting ATR-based extension limits, traders can improve their entry timing and overall trade profitability.
Range Filter Strategy [Arabic Real Backtest]استراتيجية مرشح النطاق - اختبار واقعي
نظرة عامة
استراتيجية مرشح النطاق المتقدمة مصممة للاختبار الواقعي مع توقيت تنفيذ دقيق وإدارة مخاطر شاملة. تم بناؤها خصيصًا لأسواق العملات الرقمية مع معلمات قابلة للتخصيص لأصول وفترات زمنية مختلفة.
الخوارزمية الأساسية
تقنية مرشح النطاق:
* حساب متوسط النطاق السلس باستخدام فلترة مزدوجة للـ EMA
* فلترة أسعار استنادًا إلى النطاق الديناميكي لتحديد اتجاه الاتجاه
* نظام فلترة ضد الضوضاء لتقليل الإشارات الخاطئة
* تتبع الزخم الاتجاهي مع عدادات للأعلى/للأسفل
الميزات الرئيسية
**التنفيذ الفوري (بدون تأخير)**
* معالجة الأوامر عند كل نقطة: تنفيذ فوري دون انتظار إغلاق الشمعة
* تكامل مكبر الشمعة للحصول على دقة داخل الشمعة
* الحساب في كل نقطة لضمان الاستجابة القصوى
* تجاوز OHLC القياسي لزيادة الدقة
**محاكاة الأسعار الواقعية**
* تسعير الدخول باستخدام HL2 (High+Low)/2 لملء واقعي
* محاكاة للبُعد العازل للسعر القابل للتخصيص
* إنشاء انزلاق عشوائي (من 0 إلى الحد الأقصى للانزلاق)
* التحقق من سيولة السوق قبل الدخول
**فلترة الإشارات المتقدمة**
* فلترة استنادًا إلى الحجم مع نسبة قابلة للتخصيص
* نظام تأكيد الإشارة اختياري (من 1 إلى 3 شموع)
* منطق مضاد للتكرار لمنع الإشارات المكررة
* التحكم في حد التداول اليومي
**إدارة المخاطر**
* نسب ثابتة للمخاطرة: العائد مع حساب دقيق للنقاط
* تنفيذ وقف الخسارة وجني الأرباح تلقائيًا
* إدارة حجم المركز
* تحديد الحد الأقصى للصفقات اليومية
**نظام التنبيهات**
* تنبيهات فورية متزامنة مع تنفيذ الاستراتيجية
* أنواع متعددة من التنبيهات: إعداد، دخول، خروج، حالة
* تخصيص تنسيق الرسائل مع تضمين السعر/الوقت
* تكامل مع لوحة تنبيهات TradingView
المعلمات الافتراضية
محسن لرسوم بيانية لفترة 5 دقائق لبيتكوين:
* فترة العينة: 100
* معامل النطاق: 3.0
* المخاطرة: 50 نقطة
* المكافأة: 100 نقطة (نسبة 1:2)
* بُعد الانتشار: 2.0 نقطة
* الحد الأقصى للانزلاق: 1.0 نقطة
منطق الإشارة
**شروط الدخول الطويل:**
* السعر فوق خط مرشح النطاق
* تأكيد الزخم الصاعد
* تلبية متطلبات الحجم (إذا تم تمكينها)
* اكتمال فترة التأكيد (إذا تم تمكينها)
* لم يتم تجاوز حد الصفقات اليومية
**شروط الدخول القصير:**
* السعر تحت خط مرشح النطاق
* تأكيد الزخم الهابط
* تلبية متطلبات الحجم (إذا تم تمكينها)
* اكتمال فترة التأكيد (إذا تم تمكينها)
* لم يتم تجاوز حد الصفقات اليومية
العناصر البصرية
* خط مرشح النطاق مع تلوين الاتجاه
* الأشرطة العليا والسفلى المستهدفة
* علامات إشارات الدخول
* صناديق نسبة المخاطرة/العائد
* لوحة إعدادات حية
خيارات التخصيص
**التكيف مع السوق:**
* تعديل فترة العينة لبيانات الزمن المختلفة
* تعديل معامل النطاق لمستويات التقلب المختلفة
* تكوين الانتشار/الانزلاق لوسطاء مختلفين
* تحديد النسب المناسبة للمخاطرة/العائد حسب أسلوب التداول
**ضوابط الفلترة:**
* تمكين/تعطيل فلترة الحجم
* تعديل متطلبات التأكيد
* تعيين حدود الصفقات اليومية
* تخصيص تفضيلات التنبيه
الميزات المتعلقة بالأداء
* نتائج اختبار واقعية متوافقة مع التداول المباشر
* القضاء على تحيز المستقبل
* محاكاة تنفيذ الأوامر بشكل صحيح
* إحصائيات تداول شاملة
تكوين التنبيه
**أنواع التنبيهات المتاحة:**
* إشارات الدخول مع معلومات التداول الكاملة
* تنبيهات الإعداد للتحضير المبكر
* إشعارات الخروج لإدارة المراكز
* فلترة التغيرات في الاتجاه لظروف السوق
**تنسيق الرسائل:**
رمز - الإجراء | السعر: XX.XX | الوقف: XX.XX | الهدف: XX.XX | الوقت: HH\:MM
التوصيات لاستخدام الاستراتيجية
**الإعدادات المثلى:**
* بيتكوين/العملات الرقمية الرئيسية: المعلمات الافتراضية
* الفوركس: تقليل فترة العينة إلى 50-70، المعامل إلى 2.0-2.5
* الأسهم: تقليل فترة العينة إلى 30-50، المعامل إلى 1.0-1.8
* الذهب: فترة العينة 60-80، المعامل 1.5-2.0
**تكوين TradingView:**
* إعادة الحساب: "على كل نقطة"
* الأوامر: "استخدام مكبر الشمعة"
* البيانات: يوصى باستخدام التغذية الحية
إخلاء المسؤولية
تم تصميم هذه الاستراتيجية لأغراض تعليمية وتحليلية. الأداء السابق لا يضمن النتائج المستقبلية. يجب دائمًا إجراء اختبارات شاملة على التداول الورقي قبل التنفيذ المباشر. يجب أخذ ظروف السوق، تنفيذ الوسيط، والتحمل الشخصي للمخاطر في الاعتبار عند استخدام أي نظام تداول آلي.
Range Filter Strategy - Real Backtesting
# Overview
Advanced Range Filter strategy designed for realistic backtesting with precise execution timing and comprehensive risk management. Built specifically for cryptocurrency markets with customizable parameters for different assets and timeframes.
Core Algorithm
Range Filter Technology:
- Smooth Average Range calculation using dual EMA filtering
- Dynamic range-based price filtering to identify trend direction
- Anti-noise filtering system to reduce false signals
- Directional momentum tracking with upward/downward counters
Key Features
Real-Time Execution (No Delay)
- Process orders on tick: Immediate execution without waiting for bar close
- Bar magnifier integration for intrabar precision
- Calculate on every tick for maximum responsiveness
- Standard OHLC bypass for enhanced accuracy
Realistic Price Simulation
- HL2 entry pricing (High+Low)/2 for realistic fills
- Configurable spread buffer simulation
- Random slippage generation (0 to max slippage)
- Market liquidity validation before entry
Advanced Signal Filtering
- Volume-based filtering with customizable ratio
- Optional signal confirmation system (1-3 bars)
- Anti-repetition logic to prevent duplicate signals
- Daily trade limit controls
Risk Management
- Fixed Risk:Reward ratios with precise point calculation
- Automatic stop loss and take profit execution
- Position size management
- Maximum daily trades limitation
Alert System
- Real-time alerts synchronized with strategy execution
- Multiple alert types: Setup, Entry, Exit, Status
- Customizable message formatting with price/time inclusion
- TradingView alert panel integration
Default Parameters
Optimized for BTC 5-minute charts:
- Sampling Period: 100
- Range Multiplier: 3.0
- Risk: 50 points
- Reward: 100 points (1:2 R:R)
- Spread Buffer: 2.0 points
- Max Slippage: 1.0 points
Signal Logic
Long Entry Conditions:
- Price above Range Filter line
- Upward momentum confirmed
- Volume requirements met (if enabled)
- Confirmation period completed (if enabled)
- Daily trade limit not exceeded
Short Entry Conditions:
- Price below Range Filter line
- Downward momentum confirmed
- Volume requirements met (if enabled)
- Confirmation period completed (if enabled)
- Daily trade limit not exceeded
Visual Elements
- Range Filter line with directional coloring
- Upper and lower target bands
- Entry signal markers
- Risk/Reward ratio boxes
- Real-time settings dashboard
Customization Options
Market Adaptation:
- Adjust Sampling Period for different timeframes
- Modify Range Multiplier for various volatility levels
- Configure spread/slippage for different brokers
- Set appropriate R:R ratios for trading style
Filtering Controls:
- Enable/disable volume filtering
- Adjust confirmation requirements
- Set daily trade limits
- Customize alert preferences
Performance Features
- Realistic backtesting results aligned with live trading
- Elimination of look-ahead bias
- Proper order execution simulation
- Comprehensive trade statistics
Alert Configuration
Alert Types Available:
- Entry signals with complete trade information
- Setup alerts for early preparation
- Exit notifications for position management
- Filter direction changes for market context
Message Format:
Symbol - Action | Price: XX.XX | Stop: XX.XX | Target: XX.XX | Time: HH:MM
Usage Recommendations
Optimal Settings:
- Bitcoin/Major Crypto: Default parameters
- Forex: Reduce sampling period to 50-70, multiplier to 2.0-2.5
- Stocks: Reduce sampling period to 30-50, multiplier to 1.0-1.8
- Gold: Sampling period 60-80, multiplier 1.5-2.0
TradingView Configuration:
- Recalculate: "On every tick"
- Orders: "Use bar magnifier"
- Data: Real-time feed recommended
Risk Disclaimer
This strategy is designed for educational and analytical purposes. Past performance does not guarantee future results. Always test thoroughly on paper trading before live implementation. Consider market conditions, broker execution, and personal risk tolerance when using any automated trading system.
NativeLenSA CISD w/1st 5m FVG5m CISD + FVG Indicator which works best on 5m TimeFrame, with the concept of 5m Liquidity sweeps of the previous highs/lows and the next candle closing below/above the opening price of candle that swept the highs/lows.
A line marking +CISD or -CISD will show as soon as the CISD is created, and a first 5m Fair Value Gap will also be displayed. This is advantageous for an extra confluence and re-entry.
The indicator also provides the trader with:
i. The flexibility of allowing to only show Bearish, Bullish or both Bearish and Bullish CISD + FVG,
ii. Showing only London Session, New York Session, or both London and New York Sessions' CISD & FVG,
iii. Option of hiding/showing 5m CISD+FVG on time frames greater than 5m,
iv. Adjustable:
(a) Look back bars (max=300),
(b) CISD line length,
(c) FVG line length,
v. Customizable Bearish and Bullish CISD line colors.
I hope you find value in this indicator, and convenient for time when trading, no CISD markups needed
✅ VMA Avg ATR + Days to Targets 🎯1) The trend filter: LazyBear VMA
You implement the well‑known “LazyBear” Variable Moving Average (VMA) from price directional movement (pdm/mdm).
Internally you:
Smooth positive/negative one‑bar moves (pdmS, mdmS),
Turn them into relative strengths (pdiS, mdiS),
Measure their difference/total (iS), and
Normalize that over a rolling window to get a scaling factor vI.
The VMA itself is then an adaptive EMA:
vma := (1 - k*vI) * vma + (k*vI) * close, where k = 1/vmaLen.
When vI is larger, VMA hugs price more; when smaller, it smooths more.
Coloring:
Green when vma > vma (rising),
Red when vma < vma (falling),
White when flat.
Candles are recolored to match.
Why this matters: The VMA color is your trend regime; everything else in the script keys off changes in this color.
2) What counts as a “valid” new trend?
A new trend is valid only when the previous bar was white and the current bar turns green or red:
validTrendStart := vmaColor != color.white and vmaColor == color.white.
When that happens, you start a trend segment:
Save entry price (startPrice = close) and baseline ATR (startATR = ATR(atrLen)).
Reset “extreme” trackers: extremeHigh = high, extremeLow = low.
Timestamp the start (trendStartTime = time).
Effect: You only study / trade transitions out of a flat VMA into a slope. This helps avoid chop and reduces false starts.
3) While the trend is active
On each new bar without a color change:
If green trend: update extremeHigh = max(extremeHigh, high).
If red trend: update extremeLow = min(extremeLow, low).
This tracks the best excursion from the entry during that single trend leg.
4) When the VMA color changes (trend ends)
When vmaColor flips (green→red or red→green), you close the prior segment only if it was a valid trend (started after white). Then you:
Compute how far price traveled in ATR units from the start:
Uptrend ended: (extremeHigh - startPrice) / startATR
Downtrend ended: (startPrice - extremeLow) / startATR
Add that result to a running sum and count for the direction:
totalUp / countUp, totalDown / countDown.
Target checks for the ended trend (no look‑ahead):
T1 uses the previous average ATR move before the just‑ended trend (prevAvgUp/prevAvgDown).
Up: t1Up = startPrice + prevAvgUp * startATR
Down: t1Down = startPrice - prevAvgDown * startATR
T2 is a fixed 6× ATR move from the start (up or down).
You increment hit counters and also accumulate time‑to‑hit (ms from trendStartTime) for any target that got reached during that ended leg.
If T1 wasn’t reached, it counts as a miss.
Immediately initialize the next potential trend segment with the current bar’s startPrice/startATR/extremes and set validTrendStart according to the “white → color” rule.
Important detail: Using prevAvgUp/Down to evaluate T1 for the just‑completed trend avoids look‑ahead bias. The current trend’s performance isn’t used to set its own T1.
5) Running statistics & targets (for the current live trend)
After closing/adding to totals:
avgUp = totalUp / countUp and avgDown = totalDown / countDown are the historical average ATR move per valid trend for each direction.
Current plotted targets (only visible while a valid trend is active and in that direction):
T1 Up: startPrice + avgUp * startATR
T2 Up: startPrice + 6 * startATR
T1 Down: startPrice - avgDown * startATR
T2 Down: startPrice - 6 * startATR
The entry line is also plotted at startPrice when a valid trend is live.
If there’s no history yet (e.g., first trend), avgUp/avgDown are na, so T1 is na until at least one valid trend has closed. T2 still shows (6× ATR).
6) Win rate & time metrics
Win % (per direction):
winUp = hitUpT1 / (hitUpT1 + missUp) and similarly for down.
(This is strictly based on T1 hits vs misses; T2 hits don’t affect Win% directly.)
Average days to hit T1/T2:
The script stores milliseconds from trend start to each target hit, then reports the average in days separately for Up/Down and for T1/T2.
7) The dashboard table (bottom‑right)
It shows, side‑by‑side for Up/Down:
Avg ATR: historical average ATR move per completed valid trend.
🎯 Target 1 / Target 2: the current trend’s price levels (T1 = avgATR×ATR; T2 = 6×ATR).
✅ Win %: T1 hit rate so far.
⏱ Days to T1/T2: average days (from valid trend start) for the targets that were reached.
8) Alerts
“New Trend Detected” when a valid trend starts (white → green/red).
Target hits for the active trend:
Uptrend: separate alerts for T1 and T2 (high >= target).
Downtrend: separate alerts for T1 and T2 (low <= target).
9) Inputs & defaults
vmaLen = 17: governs how adaptive/smooth the VMA is (larger = smoother, fewer trend flips).
atrLen = 14: ATR baseline for sizing targets and normalizing moves.
10) Practical read of the plots
When you see white → green: that bar is your valid entry (trend start).
An Entry Line appears at the start price.
Target lines appear only for the active direction. T1 scales with your historical average ATR move; T2 is a fixed stretch (6× ATR).
The table updates as more trends complete, refining:
The average ATR reach (which resets your T1 sizing),
The win rate to T1, and
The average days it typically takes to hit T1/T2.
Subtle points / edge cases
No look‑ahead: T1 for a finished trend is checked against the prior average (not including the trend itself).
First trends: Until at least one valid trend completes, T1 is na (no history). T2 still shows.
Only “valid” trends are counted: Segments must start after a white bar; flips that happen color→color without a white in between don’t start a new valid trend.
Time math: Uses bar timestamps in ms, converted to days; results reflect the chart’s timeframe/market session.
TL;DR
The VMA color defines the regime; entries only trigger when a flat (white) VMA turns green/red.
Each trend’s max excursion from entry is recorded in ATR units.
T1 for current trends = (historical average ATR move) × current ATR from entry; T2 = 6× ATR.
The table shows your evolving edge (avg ATR reach, T1 win%, and days to targets), and alerts fire on new trends and target hits.
If you want, I can add optional features like: per‑ticker persistence of stats, excluding very short trends, or making T2 a user input instead of a fixed 6× ATR.
EMA Grid + Martingale Indicator (Long-Only)Title:
EMA Grid + Martingale Indicator (Long-Only)
Short Summary:
A 4-EMA trend filter combined with a grid-based entry system and optional martingale sizing to visualize staged long entries and exits in bullish markets.
Full Description:
This indicator combines a 4-EMA trend filter with a grid-based entry system and optional martingale-style position sizing to help traders visualize staged long entries and exits in trending markets.
How It Works
1. Trend Detection: Uses two sets of EMAs (fast/slow pairs) to confirm bullish momentum. A long signal is generated when both EMA groups align in an uptrend.
2. Grid Entries: After the initial long entry, additional grid levels are triggered every time price drops by the specified grid step (in pips).
3. Martingale Sizing (Optional): Each subsequent entry can increase in size based on the defined martingale factor.
4. Weighted-Average Exit: Calculates the weighted average of all grid entries and signals an exit when the price reaches or surpasses this level plus an optional buffer.
Key Features
• 4 EMA Trend Filter with fully customizable lengths.
• Dynamic grid entries with visual labels (L1, L2, etc.).
• Optional martingale position sizing.
• Weighted-average exit with adjustable buffer.
• Customizable parameters for EMAs, grid steps, max entries, and buffer pips.
• Clear chart visualization of EMAs and entry/exit levels.
Use Cases
• For traders using cost-averaging or grid strategies in bullish markets.
• Visualizes multiple entry levels and profit targets.
• Useful for backtesting and strategy planning.
Note: This indicator is for visualization and planning purposes only. It does not execute trades automatically. It does not guarantee profits and is not financial advice.
Clarix Trailing MasterClarix Trailing Master
Advanced Manual Entry Trailing Stop Strategy
Purpose :
Clarix Trailing Master is designed to give traders precise control over trade exits with a customizable trailing stop system. It combines manual entry inputs with dynamic and static trailing stop options, empowering users to protect profits while minimizing premature stop-outs.
How It Works:
You manually input your trade entry price and specify the trade direction (Long or Short).
The strategy activates the trailing stop only after the price moves favorably by a configurable profit threshold. This helps avoid early stop losses during initial market noise.
You can choose between a dynamic trailing stop based on Average True Range (ATR) or a fixed static trailing distance. The ATR can also be computed on a higher timeframe for enhanced stability.
Once active, the trailing stop updates live with price movements, ensuring your gains are locked in progressively.
If the price crosses the trailing stop, a clear alert triggers, and the stop-hit status displays visually on the chart.
Key Features:
Manual entry with exact price and timestamp input for precise trade tracking.
Supports both Long and Short trades.
Choice between dynamic ATR-based trailing or static trailing stops.
Configurable profit threshold before trailing stop activation to avoid early exits.
Visual markers for entry and stop-hit points (yellow and red respectively).
Live dashboard displaying entry details, trade status, trailing mode, and current stop level.
Works on all asset classes and timeframes, adaptable to various trading styles.
Built-in audio alert notifies you immediately when the trailing stop is hit.
Usage Tips:
Adjust the profit threshold and ATR settings based on your asset’s volatility and timeframe. For example, use higher ATR multipliers for more volatile markets like crypto.
Consider using higher timeframe ATR values for smoother trailing stops in fast-moving markets.
Ideal for swing trading or position trading where precise stop management is crucial.
Always backtest and paper trade before applying to live markets.
Buyer/Seller Zone (Simplified Version)📌 Indicator: Buyer/Seller Zone (Simplified Version)
This indicator is designed to highlight potential areas of strong buyer or seller activity based on advanced volume and volatility analysis. It identifies key candles that exhibit anomalous behavior — those standing out from typical market noise — and marks them as potential interest zones.
🔍 What it does:
Detects candles with unusually high volume (anomalies).
Filters them further based on strong price movement (volatility).
Marks bullish and bearish zones using customizable visuals: area, circle, or diamond.
Provides optional alerts when a buyer/seller signal is detected.
💡 How to use:
Use this tool to identify potential reversal or continuation zones.
Zones may act as strong support/resistance areas.
Some levels are more significant than others — do not trade every level blindly. Combine with your own analysis or wait for a retest/confirmation before entry.
⚙️ Customization:
Volume filter threshold
Volatility sensitivity
Visualization type, size, and transparency
🚨 Alerts: Set alerts for bullish, bearish, or any signal type.
HSI1! First 30m Candle Strategy (15m Chart)## HSI1! First 30-Minute Candle Breakout Strategy (15m Chart) — Description
### Overview
This strategy is designed for trading **Hang Seng Index (HSI) Futures** on a 15-minute chart. It uses the price range established during the first 30 minutes of the Hong Kong main session (09:15–09:44:59) to define key breakout levels for a systematic trade entry each day.
### How the Strategy Works
#### 1. Reference Candle Period
- **Aggregation Window:** The strategy monitors the first two 15-minute bars of the session (09:15:00–09:44:59 HKT).
- **Range Capture:** It records the highest and lowest prices (the "reference high/low") during this window.
#### 2. Trade Setup
- After the 09:45 bar completes, the reference range is locked in.
- Throughout the rest of the trading day (within session hours), the strategy looks for breakouts beyond the reference range.
#### 3. Entry Rules
- **Long Entry (Buy):**
- Triggered if price rises to or above the reference high.
- Only entered if the user's settings permit "Buy Only" or "Both".
- **Short Entry (Sell):**
- Triggered if price falls to or below the reference low.
- Only entered if the user's settings permit "Sell Only" or "Both".
- **Single trade per day:**
- Once any trade executes, no additional trades are opened until the next session.
#### 4. Exit Rules
- **Take Profit (TP):**
- Target profit is set to a distance equal to the initial range added above the long entry (or subtracted below the short entry).
- Example: For a 100-point range, a long trade targets entry + 100 points.
- **Stop Loss (SL):**
- Longs are stopped out if price falls back to the session's reference low; shorts are stopped out if price rallies to the reference high.
#### 5. Session Control
- Active only within the regular day session (09:15–12:00 and 13:00–16:00 HKT).
- Trade tracking resets each new trading day.
#### 6. Trade Direction Manual Setting
- A user input allows restriction to "Buy Only", "Sell Only" or "Both" directions, providing discretion over daily bias.
### Example Workflow
| Step | Action |
|---------------------------|-------------------------------------------------------------------------|
| 09:15–09:44 | Aggregate first two 15m candles; record daily high/low |
| After 09:45 | Wait for a breakout (price crossing either the high or the low) |
| Long trade triggered | Enter at the reference high, target is "high + range", SL is at the low |
| Short trade triggered | Enter at the reference low, target is "low - range", SL at the high |
| Trade management | No more trades for the day, regardless of further breakouts |
| End of session (if open) | Trades may be closed per further logic or left to strategy to handle |
### Key Features and Benefits
- **Discipline:** Only one trade per day, minimizing overtrading.
- **Clarity:** Transparent entry/exit rules; no discretionary execution.
- **Flexibility:** User can bias system to buy-only, sell-only, or allow both, depending on trend or personal view.
- **Simple Risk Control:** Pre-defined stop loss and profit target for every trade.
- **Works best in:** Trending, breakout-prone markets with a history of impulsive moves early in the session.
This strategy is ideal for systematic traders looking to capture the Hang Seng's early session momentum, with robust rule-based management and minimal intervention.
The Kyber Cell's – TTM Squeeze ProThe Kyber Cell’s TTM Squeeze Pro
TTM Squeeze + ALMA + VWAP for Precision Trade Timing
⸻
1. Introduction
Kyber Cell’s Squeeze Pro is a comprehensive, all-in-one overlay indicator built on top of John Carter’s famous TTM Squeeze concept. It integrates advanced momentum and trend analysis using Arnaud Legoux Moving Averages (ALMA), a scroll-aware VWAP with optional deviation bands, and a clean, user-friendly visual system. The goal is simple: give traders a clear and configurable chart that identifies price compression, detects release moments, confirms direction, and helps manage risk and reward visually and effectively.
This tool is intended for traders of all styles — scalpers, swing traders, or intraday strategists — looking for cleaner signals, better visual cues, and more confidence in entry/exit timing.
⸻
2. Core Concepts
At its heart, the Squeeze Pro builds an in-chart visualization of the TTM Squeeze, a strategy that identifies when price volatility compresses inside a Bollinger Band that is narrower than a Keltner Channel. These moments often precede explosive breakouts. This version categorizes squeezes into three levels of compression:
• Blue Dot – Low Compression
• Orange Dot – Medium Compression
• Red Dot – High Compression
When the squeeze “fires” (i.e., the Bollinger Bands expand beyond all Keltner thresholds), the indicator flips to a Green Dot, signaling potential entry if confirmed by trend direction.
The indicator also includes a momentum model using linear regression on smoothed price deviation to determine directional bias. Momentum is further reinforced by a customizable trend engine, allowing you to switch between EMA-21 or HMA 34/144 logic.
An ALMA ribbon is plotted across the chart to represent smoothed trend strength with minimal lag, and a scroll-aware VWAP (Volume-Weighted Average Price) line, optionally with ±σ bands, helps confirm mean-reversion or momentum continuation setups.
⸻
3. Visual Components
Squeeze Pro replaces the traditional histogram with bar coloring logic based on your selected overlay mode:
• Momentum Mode colors bars based on whether momentum is rising or falling and in which direction (aqua/blue for bullish, red/yellow for bearish).
• Trend Mode colors bars using EMA or HMA logic to identify whether price is in a bullish, bearish, or neutral trend state.
A colored backdrop is triggered when a squeeze fires and momentum direction is confirmed. It remains green for bullish runs and red for bearish runs. The background disappears when the trend exhausts or reverses.
Each squeeze level (low, medium, high) is plotted as tiny dots above or below candles, with configurable colors. On the exact bar where the squeeze fires, the indicator optionally plots entry markers — either arrows or triangles — which can be placed with adjustable padding using ATR. These provide an at-a-glance signal of possible long or short entries.
EXPERIMENTAL : For risk and reward management, protective stop lines and limit targets can be toggled on. Stops are calculated using either recent swing highs/lows or a fixed ATR multiple, depending on user preference. Limit targets are calculated from entry price using ATR-based projections.
All colors are customizable.
⸻
4. Multi-Timeframe Squeeze Panel
An optional MTF Squeeze Panel appears in the top-right corner of the chart, displaying the squeeze status across multiple timeframes — from 1-minute to Monthly. Each timeframe is color-coded:
• Red for High Compression
• Orange for Medium Compression
• Blue for Low Compression
• Yellow for Open/No Compression
This provides rapid context for whether multiple timeframes are simultaneously compressing (a common precursor to explosive moves), helping traders align higher- and lower-timeframe signals. Colors are customizable.
The MTF panel dynamically adjusts to chart space and only renders the selected intervals for clarity and performance.
⸻
5. Inputs and Configuration Options
Squeeze Pro offers a rich configuration suite:
• Squeeze Settings: Control the Bollinger Band standard deviation, and three separate Keltner Channel multipliers (for low, medium, and high compression zones).
• ALMA Controls: Adjust the smoothing length, offset, and σ factor to control ribbon sensitivity.
• VWAP Options: Toggle VWAP on/off and optionally show ±σ bands for mean reversion signals.
• Entry Markers: Customize marker shape (arrow or triangle), size (tiny to huge), color, and padding using ATR multipliers.
• Stops and Targets:
• Choose between Swing High/Low or ATR-based stop logic.
• Define separate ATR lengths and multipliers for stops and targets.
• Independently toggle their visibility and color.
• Bar Coloring Mode: Select either Momentum or Trend logic for bar overlays.
• Trend Engine: Choose between EMA-21 or HMA 34/144 for identifying trend direction.
• Squeeze Dot Colors: Customize the colors for each compression level and release state.
• MTF Panel: Toggle visibility per timeframe — from 1m to Monthly.
This high degree of customization ensures that the indicator can adapt to nearly any trading style or preference.
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6. Trade Workflow Suggestions
To get the most out of this tool, traders can follow a consistent workflow:
1. Watch Dot Progression: Blue → Orange → Red indicates increasing compression and likelihood of breakout.
2. Enter on Green Dot: When the squeeze fires (green dot), confirm entry direction with bar color and backdrop.
3. Use Confirmation Tools:
• ALMA should slope in the trade direction.
• VWAP should support the price move or confirm expansion away from mean.
4. Manage Risk and Reward (experimental):
• Respect stop-loss placements (Swing/ATR).
• Use ATR-based limit targets if enabled.
5. Exit:
• Consider exiting when momentum crosses zero.
• Or exit when the background color disappears, signaling potential trend exhaustion.
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7. Alerts
Includes built-in alert conditions to notify you when a squeeze fires in either direction:
• “Squeeze Long”: Triggers when a green dot appears and momentum is bullish.
• “Squeeze Short”: Triggers when a green dot appears and momentum is bearish.
You can use these alerts for automation or to stay notified of new setups even when away from the screen.
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8. Disclaimer
This indicator is designed for educational purposes only and should not be interpreted as financial advice. Trading is inherently risky, and any decisions based on this tool should be made with full awareness of personal risk tolerance and capital exposure.
TrendShift [MOT]📈 TrendShift – Multi-Factor Momentum & Trend Signal Suite
TrendShift is a precision-built momentum and confluence tool designed to highlight directional shifts in price action. It combines EMA slope structure, oscillator confirmation, volume behavior, and dynamic SL/TP logic into one cohesive system. Whether you're trading with the trend or catching reversals, TrendShift provides data-backed clarity and visual confidence — and it’s available free to the public.
🔍 Core Signal Logic
Buy (🟢 Long) and Sell (🔴 Short) signals are triggered when multiple conditions align within a set bar window (default: 5 bars):
Stochastic RSI K/D cross
RSI crosses above 20 (long) or below 80 (short)
Stochastic RSI breaks 20 (long) or 80 (short)
Volume exceeds 20-bar average
🧭 Visual Trend Dashboard – Signal Table
A real-time on-chart dashboard displays:
EMA Trend: Bullish / Bearish / Mixed (based on 4 EMA slopes)
Stoch RSI: Oversold / Overbought / Neutral
RSI: Exact value with zone label
Volume: Above or Below average
Dashboard theme and position are fully customizable.
📐 Trend Structure with EMA Slope Logic
Plots four EMAs (21, 50, 100, 200) color-coded by slope:
Green = Rising
Red = Falling
These feed into the dashboard's EMA Trend display.
🎯 Optional Take Profit / Stop Loss Zones
When enabled, SL/TP lines plot automatically on valid signals:
Fixed-distance targets (e.g., 10pt TP, 5pt SL)
Auto-remove on TP or SL hit
Separate lines for long vs. short trades
Fully customizable styling
🔁 Trailing Stop Filter (Internal Logic)
A custom ATR-based trailing stop helps validate directional strength:
ATR period
HHV window
ATR multiplier
Used internally — not plotted — to confirm trend progression before entry.
⚙️ Customizable Parameters
Every core component is user-configurable:
EMA periods: 21 / 50 / 100 / 200
ATR trailing logic: period, HHV, multiplier
Oscillator settings: Stoch RSI & RSI
Volume length
SL/TP toggles and point values
Bar clustering window
Dashboard theme and location
🔔 Alerts Included
BUY Signal Triggered
SELL Signal Triggered
Compatible with webhook automation or mobile push notifications.
⚠️ Disclaimer
This tool is for educational purposes only and is not financial advice. Trading involves risk — always do your own research and consult a licensed professional before making trading decisions.
Discord Levels (Label Toggle)This indicator is designed to streamline your multi-asset level tracking by displaying custom price levels directly on your chart for up to eight different stocks. It allows you to define key support, resistance, and moving average levels, enhancing your analysis across various instruments.
Key Features:
Multi-Stock Level Display: Track important levels for up to 8 distinct stock symbols simultaneously.
Customizable Level Inputs: Define all your desired price levels using a simple space-separated string for each stock.
Intelligent Color-Coding: Levels are automatically color-coded for quick identification based on the associated notes in your input string:
White Line: Standard price levels (e.g., 123.45).
Yellow Line: Levels designated as 200 Daily EMA (e.g., 18.70=daily 200 ema).
Blue Line: Levels designated as 50 Daily EMA (e.g., 18.70=daily 50 ema).
Gray Line: Levels designated as 34 Daily EMA (e.g., 18.70=daily 34 ema).
Green Line: Levels designated as 9 Daily EMA (e.g., 18.70=daily 9 ema).
Red Line: Critical or Cautionary levels (e.g., 9.00=cautionary).
Dynamic Label Positioning: Price labels are displayed next to the lines, dynamically positioned to the right of the current bar (30 bars offset) for optimal visibility across different timeframes.
Global Label Toggle: Easily enable or disable all price labels from the indicator's settings.
How to Use:
Input Stock Symbol: For each slot (Stock 1 to Stock 8) you wish to use, enter the exact TradingView symbol (e.g., AAPL, MSFT, TSLA).
Input Levels String: In the corresponding "Levels" input field, enter your desired price levels separated by spaces.
Basic Level: Just enter the number (e.g., 12.34).
Levels with Notes: Use the format PRICE=NOTE for specific annotations (e.g., 18.70=daily 200 ema, 9.00=cautionary).
Supported Notes for Automatic Coloring: daily 200 ema, daily 50 ema, daily 34 ema, daily 9 ema, cautionary, critical. (Case-insensitive)
Manage Slots: If you need to track more than 8 stocks, simply clear the symbol and levels for an old stock and use that slot for your new entry.
This indicator is a powerful tool for traders who rely on fixed price levels and moving averages across multiple securities, providing clear visual cues without cluttering your main chart analysis.