Smart TP Manager V.1.1 (SL trail par TP)🔹 Smart TP Manager V1.1 – Trade Management Advanced
A powerful TradingView tool designed to enhance trade management and protect profits.
Features:
Automatically detect Long/Short signals using EMA crossovers, RSI filter, higher-timeframe EMA trend, and ADX strength.
Calculate and display a dynamic Stop Loss based on ATR.
Automatically set TP1, TP2, TP3 with advanced Breakeven management:
SL moves to Entry after TP1 hit
SL moves to TP1 after TP2 hit, securing partial profits
Track your performance with a comprehensive statistics table (Win/Loss, BE, win rate, net profit in R).
Clear visual display of entries, SL, and TPs using colored lines and labels.
Receive automatic alerts for every signal and target reached.
Optional SL trailing feature to secure profits progressively as targets are hit.
📊 Smart TP Manager V1.1 is your assistant for risk control, trade optimization, and profit protection on TradingView.
Chỉ báo và chiến lược
Watermark with Session Boxes (by Rufi)Watermark & Session Boxes - Chart Branding Tool
What it does: Combines professional chart watermarking with automated trading session visualization for clean, branded analysis.
Key Features:
Smart Session Boxes: Auto-draws boxes around Asia (8PM-11:59PM), London (2AM-5AM), and NY (7AM-10AM) sessions using high/low detection
Custom Watermark: Professional text overlay with your brand/tagline
Full Customization: Adjustable colors, transparency (0-100%), and display limits (1-30 days)
How it works: Uses Pine Script's time() function to detect session periods, tracks price extremes during each session, then draws filled rectangles from session high to low. Perfect for identifying key support/resistance levels from major trading periods.
Best for: Intraday traders who want branded charts with clear session-based S/R levels. Ideal for forex, indices, and crypto on lower timeframes.
RK RSI Stochastic ADX Ver1.0Version 1.0
Instead of viewing RSI, Stochastic and ADX on different panel; I bought them together in one panel.
Included price divergence of RSI and Stochastic in the chart.
ADX can be viewed as line chart and/or as an option to color grade the background instead of too many line drawn on the chart.
MA“5 / 10 / 20 / 60 / 240 Moving Averages, with a red background automatically highlighted when MA5 > MA10 > MA20.”
Divergence Volatility MappingDivergence Volatility Mapping
This indicator detects divergences between a main symbol and its mapped counterpart symbol.
It is designed to help traders identify potential turning points or confirmation signals when the two series behave differently.
How it works:
- Automatically maps the active chart symbol to its correlated counterpart.
- Compares directional changes between the two series to detect divergence conditions.
- When a divergence is detected, the script highlights the event with boxes, lines and optional labels.
- Supports one or two higher timeframes (configurable by the user).
- Alerts are available for bullish and bearish divergence signals.
How to use:
- Apply on supported symbols that have a mapped counterpart.
- Divergences may highlight potential reversal or continuation zones depending on context.
- Use the first HTF as your main timeframe and optionally enable a second HTF for confirmation.
Notes:
- This indicator only works on supported symbols with a mapped counterpart.
- This is an invite-only script. Access must be requested from the author.
by Gadirov 1-Min Big Candle Change Optimized for binaryby Gadirov 1-Min Big Candle Change Optimized for binary
PCCE + False Breakout DetectorPCCE + False Breakout Detector
Type: Invite-Only Indicator (closed source)
Purpose : Detect price compression and the first expansion after it, while flagging failed breakouts (bull/bear traps) for risk control.
1) What’s original here!
This tool integrates three behaviour-driven tests that work in a single decision flow:
A compression score built from:
(a) monotonic body shrink,
(b) wick-dominance, and
(c) relative range contraction versus history.
This is not a bands/oscillator port; it’s a structure-first filter that isolates coils.
A thrusted expansion requirement that combines real-body impulse and relative-volume participation (+ optional EMA alignment) to qualify a breakout beyond the coil envelope.
An immediate post-breakout failure test (trap logic) that checks whether the breakout re-enters the prior swing range within a short window.
Used together, these steps turn raw breaks into contextual, risk-aware events: setup → trigger → validation. That is the value of the combination.
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2) Concepts behind the calculations:
Let body_t = |close_t − open_t|,
uw_t = high_t − max(open_t, close_t) (upper wick),
lw_t = min(open_t, close_t) − low_t (lower wick),
R_t(k) = highest(high, k)_t − lowest(low, k)_t (range over k bars),
MA_body(k) = SMA(body, k), MA_vol(k) = SMA(volume, k).
2.1 Compression (coil) detection
We evaluate within a window k = coilLength:
• Body shrink count: number of consecutive steps where body_(t−i) < body_(t−i−1).
• Wick dominance: AvgWickBody = avg( (uw + lw) / body ) over the window; require AvgWickBody > wickRatioMin.
• Relative range contraction: current R_t(k) must be less than α × avg( R_(t−j)(k) ) computed over a lookback of rangeWindow windows, with α < 1 (tight market).
When all three are true, we mark a coil zone; the coil bounds are High_coil = highest(high, k), Low_coil = lowest(low, k).
2.2 Expansion (“Burst”) confirmation
A breakout is only qualified when all hold on bar close:
• Direction: close > High_coil → up; close < Low_coil → down.
• Body thrust: body_t > MA_body(k) × bodyMult.
• Participation: volume_t > MA_vol(k) × volumeMultiplier.
• Trend alignment (optional): close_t > EMA(emaLen) for up / < EMA for down.
• Cooldown: t − lastSignal > cooldownBars.
If satisfied, print Burst↑ or Burst↓ on that bar.
2.3 Failed breakout (trap) detection
Let H_s and L_s be the prior swing high/low from a lookback rangeLookback (excluding the current bar). Define:
• Bull break attempt: a bar that closed above H_s.
Bull trap: within fakeoutBars bars after that attempt, any close returns below H_s. Mark ❌ red above that bar.
• Bear break attempt: a bar that closed below L_s.
Bear trap: within fakeoutBars bars after that attempt, any close returns above L_s. Mark ❌ green below that bar.
Alerts fire on bar close only.
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3) What you’ll see on the chart
• Coil box: shaded envelope (tight-range bounds).
• Burst labels: Burst↑ / Burst↓ only when thrust + volume (and optional EMA) confirm the break.
• Trap markers: ❌ red (failed bullish breakout) / ❌ green (failed bearish breakout).
• Alerts: “Burst Up” and “Burst Down” (close-based).
⸻
4) How to use it
1. Preparation : When a coil box appears, mark the bounds; expect expansion risk to rise.
2. Trigger : Act only on Burst labels (they already encode body/volume thrust and optional trend).
3. Validation : If a ❌ trap prints shortly after a breakout, treat it as a warning/exit event; breakouts that re-enter the prior swing range are statistically fragile.
4. Context : Works well on 15m–4H where structure is visible. Combine with your own higher-timeframe bias, S/R, liquidity pools, and risk rules.
5. Tuning :
• Tighten/loosen coil sensitivity via coilLength, wickRatioMin, and the range contraction factor.
• Use larger bodyMult / volumeMultiplier to demand stronger breaks.
• cooldownBars controls clustering in fast sessions.
• rangeLookback and fakeoutBars control how strict the trap check is.
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5) Repainting, scope, and limitations
• Burst and trap labels are evaluated on bar close; once printed, they do not repaint. Coil boxes can update while forming; they stabilize once conditions are met.
• Sudden news/illiquid periods can defeat filters; adjust multipliers and cooldown for your instrument.
• This is an indicator, not a strategy; it does not publish PnL, win-rate, or forward promises.
Advanced LOREN SETUP (3.1)This indicator is an exclusive access tool based on the Advanced Loren Setup, collaboratively designed by the expert mentors at StockTutor. It is built to provide traders with a strategic edge in the markets by integrating refined technical insights and proprietary logic.
⚠ Disclaimer: This indicator is strictly for personal use only. Redistribution, resale, or unauthorized sharing of this tool is strictly prohibited. Any attempt to copy, modify, or commercialize this setup without permission from StockTutor will result in legal action.
UKDT Level 1 short average bias indicatorUKDT Level 1 short average bias indicator.
Short averages displayed with bias indicator background colours.
All configurable in settings.
MAHA MACDThe Custom Multi-Timeframe MACD indicator allows traders to simultaneously monitor MACD momentum and trend signals from two user-selectable timeframes in a single pane. It calculates the classic Moving Average Convergence Divergence (MACD) line, signal line, and histogram for both chosen intervals, providing a comprehensive view of multiple timeframes without switching charts.
Key Features:
Dual timeframe MACD analysis: Select any two timeframes (e.g., 3 minutes and 15 minutes, or 1 hour and 2 hours) to visualize intraday and higher trend momentum together in one indicator.
Fully customizable MACD settings: Adjust the fast length, slow length, and signal smoothing periods to tailor indicator sensitivity based on trading style and asset volatility.
Clear visual differentiation: Distinct color schemes for each timeframe’s MACD line, signal line, and histogram make it easy to compare momentum changes across timeframes at a glance.
User-friendly design: Soft colored backgrounds highlight each timeframe’s section, enabling quick identification and reducing eye strain during extended analysis.
Real-time responsiveness: Higher timeframe MACD values update in real time on the current chart timeframe, enabling proactive decision-making without waiting for candle closes.
Use Cases:
LQ sweep (DeadCat)This indicator provides a streamlined approach to Smart Money Concepts (SMC) market structure analysis, focusing on identifying liquidity sweep patterns at key structural levels. The script tracks price action to detect when institutional liquidity is being targeted through systematic structure breaks.
Core Methodology:
The indicator employs a dual-pivot system (20/2 bars) to identify market structure points internally, then monitors for liquidity sweeps at these levels:
Trend Continuation Sweeps: When price breaks above Higher Highs (uptrend) or below Lower Lows (downtrend)
Trend Reversal Sweeps: When price breaks below Higher Lows (uptrend) or above Lower Highs (downtrend)
Market Structure Engine:
Automatically establishes initial trend direction from first two pivot points
Tracks structure progression internally without visual clutter
Requires 2-candle confirmation (bullish/bearish) before finalizing new structure levels
Maintains pending structure states until proper confirmation occurs
Liquidity Sweep Detection:
The indicator identifies four distinct liquidity sweep scenarios:
Bullish Continuation: HH break in established uptrend
Bearish Continuation: LL break in established downtrend
Bullish Reversal: LH break signaling potential uptrend resumption
Bearish Reversal: HL break signaling potential downtrend resumption
Key Features:
Simplified Interface: Single settings group for all liquidity sweep configurations
Flexible Label Positioning: Choose where sweep labels appear on lines
Consistent Visual Style: All sweeps use the same color/style for clarity
Minimal Chart Clutter: No market structure labels, only essential sweep markers
Unique Implementation:
Unlike traditional SMC indicators that display all structure points, this tool focuses exclusively on actionable liquidity sweeps. It maintains the mathematical rigor of structure tracking internally while presenting only the critical sweep levels where institutional activity is likely concentrated.
Usage:
Liquidity sweeps often precede significant moves as they represent areas where stop-losses accumulate. Traders can use these levels to:
- Identify potential reversal zones after sweep completion
- Spot continuation patterns when sweeps align with trend
- Time entries after liquidity has been collected
- Set stop-loss levels beyond recent sweep points
This indicator simplifies complex SMC concepts into actionable liquidity sweep signals, making it suitable for traders who want to focus on key institutional levels without overwhelming chart analysis.
DSN-LocalPeakMarkerThis Indicator identifies local highs and lows and paints the related level.
The calculation is done on every new candle.
ML-Enhanced Multi-Indicator Composite Signal🤖 ML-Enhanced Multi-Indicator Composite Signal
Revolutionary AI-Powered Trading Indicator with Adaptive Learning
Transform your trading with cutting-edge machine learning technology that automatically optimizes indicator weights based on real market performance!
🎯 What Makes This Indicator Special?
This isn't just another composite indicator. It's an intelligent trading system that learns from market data and continuously adapts to improve signal accuracy. Unlike static indicators with fixed weights, this AI-powered tool dynamically adjusts the importance of each technical indicator based on their actual prediction success rates.
⚡ Key Features
🤖 Adaptive Machine Learning Engine
Automatically tracks prediction accuracy for each indicator
Dynamically adjusts weights based on performance
Continuous learning and adaptation to market conditions
Configurable learning parameters for fine-tuning
📊 Multi-Indicator Fusion
SuperTrend: Trend direction and momentum
Moving Averages: Price trend confirmation (SMA/EMA/WMA/RMA)
VWAP: Volume-weighted price levels
Linear Regression: Mathematical trend analysis
🎯 Intelligent Signal Generation
Strong Buy/Buy/Sell/Strong Sell signals
Configurable threshold levels
Signal smoothing to reduce noise
Smart signal timing to avoid repetitive alerts
📈 Performance Analytics Dashboard
Real-time accuracy tracking for each indicator
Weight distribution visualization
ML vs. Equal weights comparison
Learning progress monitoring
🚀 How It Works
1. Data Collection Phase
The indicator continuously monitors the performance of each technical component, storing predictions and actual market outcomes.
2. Learning Phase
Using configurable learning periods (20-500 bars), the ML engine calculates accuracy rates for each indicator's predictions.
3. Weight Optimization
Based on performance data, the system automatically adjusts weights using a configurable learning rate, ensuring better-performing indicators have more influence.
4. Signal Generation
The optimized composite signal triggers buy/sell alerts when crossing predefined thresholds, with visual signals and background coloring.
⚙️ Customization Options
Machine Learning Parameters
Learning Period: 20-500 bars (default: 100)
Prediction Horizon: 1-20 bars (default: 5)
Learning Rate: 0.01-1.0 (default: 0.1)
Minimum Weight: Prevents any indicator from becoming irrelevant
Performance Smoothing: Reduces noise in accuracy calculations
Traditional Settings
SuperTrend: Period and multiplier adjustment
Moving Average: Type selection and length
VWAP: Source customization
Linear Regression: Length and source options
Signal Configuration
Threshold Levels: Customizable buy/sell trigger points
Signal Smoothing: Reduces false signals
Manual Override: Option to use fixed weights instead of ML
📱 Visual Features
Signal Line Display
Dynamic color coding based on signal strength
Threshold level lines for clear entry/exit points
Background coloring for quick market sentiment assessment
Performance Table
Real-time accuracy metrics for each indicator
Current weight distribution showing ML optimization
Performance comparison between ML and equal weights
Learning progress indicator
Signal Shapes
🚀 Strong Buy: Large green triangle with text
📈 Buy: Standard green triangle
📉 Sell: Standard red triangle
💥 Strong Sell: Large red triangle with text
🎓 Best Practices & Usage Tips
For Beginners
Start with default ML settings
Allow 100+ bars for proper learning
Focus on Strong Buy/Sell signals initially
Monitor the performance table to understand ML adaptation
For Advanced Traders
Adjust learning rate based on market volatility
Customize prediction horizon for your trading timeframe
Fine-tune threshold levels for your risk tolerance
Combine with additional confirmation indicators
Recommended Settings by Timeframe
Scalping (1m-5m): Learning Period: 50, Prediction Horizon: 3
Day Trading (15m-1h): Learning Period: 100, Prediction Horizon: 5
Swing Trading (4h-1D): Learning Period: 200, Prediction Horizon: 10
🔔 Alert System
Set up comprehensive alerts for:
Strong Buy/Sell signals with maximum consensus
Regular Buy/Sell signals for standard entries
Custom message templates with price and signal strength
Email, SMS, and webhook compatibility
⚠️ Important Notes
Learning Period: Allow sufficient data for ML optimization (minimum 50 bars recommended)
Market Conditions: Performance may vary during high volatility or trending vs. ranging markets
Backtesting: Test thoroughly on historical data before live trading
Risk Management: Always use proper position sizing and stop losses
🏆 Why Choose This Indicator?
✅ Adaptive Intelligence: Unlike static indicators, this tool evolves with market conditions
✅ Transparent Performance: See exactly how well each component is performing
✅ Comprehensive Analytics: Make informed decisions with detailed performance metrics
✅ Professional Grade: Developed by experienced traders for serious market participants
✅ Continuous Innovation: Regular updates and improvements based on user feedback
📊 Performance Tracking
The indicator provides unprecedented transparency into its decision-making process:
Individual indicator accuracy rates
Weight evolution over time
Improvement metrics vs. baseline
Learning curve visualization
Transform your trading with the power of adaptive machine learning. Let the market data guide your strategy optimization automatically!
Tags: Machine Learning, AI Trading, Composite Signal, Multi-Indicator, Adaptive Algorithm, Signal Generation, Trading Automation, Technical Analysis
Category: Trend Following, Oscillators, Signal Generators
Baseline Buy/Sell Alerts (v6) - FixedGood for indexes,metals and cryptos
Thanks Universe Thanks Angels
10MAs + BB10 MAs riboon + Bollinger Bands
I used two basic Multiple MA ribbons. so I just merge them to one indicaotor
Disparity Index with 4 EMAsDisparity Index with 4 EMAs
(ema - close ) / ema * 100
or
(ema - close0 / close * 100
Bullish Breakout - SBStep 1 – Chart Setup
Timeframe: 5-minute
Studies to add:
VWAP (Session VWAP)
EMA 9 & EMA 20 (trend filter)
Bullish Breakout – Clean v6.1
⚙️ Step 2 – Indicator Settings (scalping mode)
Resistance lookback: 15
Volume confirmation: ON, multiplier = 1.2–1.3 (lighter requirement, more signals).
RSI filter: ON, threshold = 55 (looser than intraday swing).
MACD filter: ON
HTF filter: ON → timeframe = 15m, EMA = 50 (so trades align with short-term trend).
Retest check: ON (safer signals).
ATR stop/targets: ON → ATR length 14, Stop = 1.0×ATR, T1 = 0.7×ATR, T2 = 1.4×ATR.
Visuals: Stealth Mode ON (just arrows + compact label).
🎯 Step 3 – Entry Rules
Wait for a green breakout arrow under a 5m bar.
Confirm conditions:
Price is above VWAP.
EMA 9 > EMA 20 (micro trend bullish).
Optional: RSI > 55 and volume above SMA×1.2.
Enter at close of breakout bar.
Aggressive: enter right on arrow.
Conservative: enter only if teal retest dot confirms.
🛡️ Step 4 – Risk/Exit Plan
Stop loss: red ATR line (~1×ATR below entry).
Target 1 (T1): yellow ATR line (~0.7×ATR above entry).
Target 2 (T2): green ATR line (~1.4×ATR above entry).
Management:
Sell 70% at T1, move stop to entry.
Let 30% run to T2 or trail with EMA 9.
🔔 Step 5 – Alerts
Set TradingView alerts for:
Bullish Breakout (green arrow)
Breakout Retest Confirmed (teal dot)
So you don’t miss quick setups during the session.
⚡ Extra Scalping Tips
Focus on liquid tickers (ORCL, MSFT, AAPL, NVDA, etc.) — tight spreads, good volume.
Trade first 2–3 hours after market open for best volatility.
Avoid scalping right before big news (FOMC, earnings).
Don’t overstay: average 10–30 minutes per trade.
BNF 25/50 MA Pullback Screener (Uptrend-Below / Downtrend-Above)Buy candidates: stocks in an uptrend (25MA > 50MA, optional rising slopes) that are currently pulled back below the MAs.
• Sell/short candidates: stocks in a downtrend (25MA < 50MA, optional falling slopes) that are currently pushed above the MAs.
It plots the MAs, paints the background for trend context, drops signals on the chart, shows a status panel, and exposes alert conditions so you can screen your watchlist via alerts.