Trend Analizi
GStrategy XRP 4hRSI + Smart Money Trading Strategy
This strategy combines RSI (Relative Strength Index) with Smart Money detection to identify high-probability reversal trades in trending markets. It uses strict entry/exit rules with a 10% hard stop-loss to manage risk.
Strategy Logic
1. Entry Conditions
Long Entry (Buy):
RSI < 30 (Oversold condition)
Smart Money Confirmation:
Bullish candle (close > open)
Volume > 35-period SMA (unusual buying pressure)
Price hits a 5-bar low (potential reversal level)
Short Entry (Sell):
RSI > 70 (Overbought condition)
Smart Money Confirmation:
Bearish candle (close < open)
Volume > 20-period SMA (unusual selling pressure)
Price hits a 5-bar high (potential rejection level)
2. Exit Conditions
Long Exit: RSI ≥ 70 (Take profit at overbought)
Short Exit: RSI ≤ 40 (Take profit at mid-level)
Stop-Loss: Hard 10% stop on all trades
3. Position Management
No overlapping trades (only 1 position at a time).
Stop-loss visualized on the chart (red line).
Key Features
✅ RSI Filter: Avoids false reversals by requiring extreme RSI levels.
✅ Smart Money Detection: Confirms institutional activity via volume + price action.
✅ Asymmetric Exits:
Longs exit at RSI 70 (full overbought).
Shorts exit earlier at RSI 40 (conservative profit-taking).
✅ Strict Risk Control: 10% stop-loss prevents large drawdowns.
Indicators Used
RSI (14-period)
Volume SMA (20 for shorts, 35 for longs)
5-bar High/Low for price extremes.
Smart Grid Levels - Based on High/LowSmart Fibo
- Calculation of Key Levels:
- Finds the highest and lowest price within the lookbackBars range.
- Computes the price difference (diff) between the high and low.
- Determines the step size (step) by dividing diff by levels, creating evenly spaced grid levels.
- Drawing the Grid Levels:
- A loop (for i = 0 to levels) iterates through the number of levels.
- Each level is calculated based on the lowest price plus increments of step.
- Horizontal lines (line.new) are drawn at each level and extended rightward.
- If showLabels is enabled, price labels are placed at each level.
Usage in Trading :
- Helps identify support and resistance zones based on price range.
- Useful for grid trading strategies, where traders buy near lower levels and sell near higher ones.
- Provides a structured view of price movement without relying on traditional indicators.
CISD Levels by HAZEDCISD Levels by HAZED - Advanced Market Structure Analysis
📊 Overview
The CISD Levels indicator is a sophisticated market structure analysis tool that automatically identifies and plots critical support and resistance levels based on Change in State Direction (CISD) methodology. This indicator helps traders visualize key market turning points and potential breakout/breakdown levels with precision.
🎯 What are CISD Levels?
CISD (Change in State Direction) levels represent significant price points where market sentiment shifts from bullish to bearish or vice versa. These levels are dynamically calculated based on:
Market structure breaks (higher highs/lower lows)
Pullback patterns and trend continuations
Real-time price action analysis
Dynamic level updates as market conditions evolve
✨ Key Features
🔥 Smart Level Detection
Automatically identifies bullish (+CISD) and bearish (-CISD) levels
Real-time updates as market structure evolves
Intelligent pullback detection algorithm
🎨 Full Customization
Colors: Customize bullish/bearish level colors
Line Styles: Choose from solid, dotted, or dashed lines
Text Labels: Fully customizable text, size, and font options
Transparency: Adjustable line transparency (0-100%)
Extensions: Control how far lines extend into the future
📈 Historical Analysis
Show All Levels: Option to display historical CISD levels
Max Levels Control: Limit the number of historical levels shown (1-50)
Level Management: Automatic cleanup of old levels
🚨 Smart Alerts
Bullish Alerts: Get notified when price breaks above +CISD levels
Bearish Alerts: Get notified when price breaks below -CISD levels
Alert Frequency: Choose between "Once Per Bar" or "Once Per Bar Close"
📊 Statistics Table
Market State: Current bullish/bearish market condition
Active Levels: Count of currently active CISD levels
Latest Levels: Display of most recent +CISD and -CISD values
Positioning: 5 different table positions available
🛠️ How to Use
For Swing Traders:
Use CISD levels as key support/resistance zones
Enter positions on level breaks with proper risk management
Set stop losses below/above opposite CISD levels
For Day Traders:
Watch for price reactions at CISD levels
Use levels for entry/exit timing
Combine with volume analysis for confirmation
For Position Traders:
Identify major market structure changes
Use higher timeframe CISD levels for strategic entries
Monitor level breaks for trend continuation signals
⚙️ Settings Guide
CISD Level Settings
Bullish/Bearish Colors: Customize level appearance
Custom Text: Add your own labels to levels
Alert Setup: Enable notifications for level breaks
Historical Levels: Choose to show past levels for context
Appearance Customization
Line Width: 1-5 pixel thickness options
Line Style: Solid, dotted, or dashed
Extension Bars: Control future projection (1-50 bars)
Text Options: Size, font, and bold formatting
Statistics Table
Enable/Disable: Toggle table visibility
Position: 5 placement options on chart
Real-time Data: Live market state and level information
🎯 Best Practices
Multi-Timeframe Analysis: Use CISD levels across different timeframes for confluence
Risk Management: Always use proper position sizing and stop losses
Confirmation: Combine with volume, momentum, or other indicators
Market Context: Consider overall market conditions and news events
Backtesting: Test the levels on historical data before live trading
📋 Technical Specifications
Overlay: True (plots directly on price chart)
Max Lines: 500 (handles multiple historical levels)
Max Labels: 500 (supports extensive labeling)
Real-time Updates: Dynamic level calculation and alerts
Performance: Optimized code for smooth chart operation
🚀 Why Choose CISD Levels?
Precision: Advanced algorithm for accurate level identification
Flexibility: Extensive customization options for any trading style
Reliability: Proven market structure analysis methodology
User-Friendly: Intuitive settings with helpful tooltips
Professional: Clean, professional appearance on any chart
📞 Support & Updates
This indicator is actively maintained and updated. For questions, suggestions, or feature requests, feel free to reach out through TradingView messaging.
⚠️ Disclaimer: This indicator is for educational and informational purposes only. Always conduct your own analysis and risk management. Past performance does not guarantee future results.
OA - SMESSmart Money Entry Signals (SMES)
The SMES indicator is developed to identify potential turning points in market behavior by analyzing internal price dynamics, rather than relying on external volume or sentiment data. It leverages normalized price movement, directional volatility, and smoothing algorithms to detect potential areas of accumulation or distribution by market participants.
Core Concepts
Smart Money Flow calculation based on normalized price positioning
Directional VHF (Vertical Horizontal Filter) used to enhance signal directionality
Overbought and Oversold regions defined with optional glow visualization
Entry and Exit signals based on dynamic crossovers
Highly customizable input parameters for precision control
Key Inputs
Smart Money Flow Period
Smoothing Period
Price Analysis Length
Fibonacci Lookback Length
Visual toggle options (zones, glow effects, signal display)
Usage
This tool plots the smoothed smart money flow as a standalone oscillator, designed to help traders identify potential momentum shifts or extremes in market sentiment. Entry signals are generated through crossover logic, while optional filters based on price behavior can refine those signals. Exit signals are shown when the smart money line exits extreme regions.
Important Notes
This indicator does not repaint
Works on all timeframes and instruments
Best used as a confirmation tool with other technical frameworks
All calculations are based strictly on price data
Disclaimer
This script is intended for educational purposes only. It does not provide financial advice or guarantee performance. Please do your own research and apply appropriate risk management before making any trading decisions.
P4H SFP StrategySignals Long or Short Entries based on Previous 4H low/high. Entry criteria are SFP/Rejection of P4h L/H and candle close in opposite direction. RSI must be 65/35 but can customize. Stop/TP 1% from entry. All of this is customizable. Stats are shown and you can change the time range of that as well.
Kaufman Trend Strategy# ✅ Kaufman Trend Strategy – Full Description (Script Publishing Version)
**Kaufman Trend Strategy** is a dynamic trend-following strategy based on Kaufman Filter theory.
It detects real-time trend momentum, reduces noise, and aims to enhance entry accuracy while optimizing risk.
⚠️ _For educational and research purposes only. Past performance does not guarantee future results._
---
## 🎯 Strategy Objective
- Smooth price noise using Kaufman Filter smoothing
- Detect the strength and direction of trends with a normalized oscillator
- Manage profits using multi-stage take-profits and adaptive ATR stop-loss logic
---
## ✨ Key Features
- **Kaufman Filter Trend Detection**
Extracts directional signal using a state space model.
- **Multi-Stage Profit-Taking**
Automatically takes partial profits based on color changes and zero-cross events.
- **ATR-Based Volatility Stops**
Stops adjust based on swing highs/lows and current market volatility.
---
## 📊 Entry & Exit Logic
**Long Entry**
- `trend_strength ≥ 60`
- Green trend signal
- Price above the Kaufman average
**Short Entry**
- `trend_strength ≤ -60`
- Red trend signal
- Price below the Kaufman average
**Exit (Long/Short)**
- Blue trend color → TP1 (50%)
- Oscillator crosses 0 → TP2 (25%)
- Trend weakens → Final exit (25%)
- ATR + swing-based stop loss
---
## 💰 Risk Management
- Initial capital: `$3,000`
- Order size: `$100` per trade (realistic, low-risk sizing)
- Commission: `0.002%`
- Slippage: `2 ticks`
- Pyramiding: `1` max position
- Estimated risk/trade: `~0.1–0.5%` of equity
> ⚠️ _No trade risks more than 5% of equity. This strategy follows TradingView script publishing rules._
---
## ⚙️ Default Parameters
- **1st Take Profit**: 50%
- **2nd Take Profit**: 25%
- **Final Exit**: 25%
- **ATR Period**: 14
- **Swing Lookback**: 10
- **Entry Threshold**: ±60
- **Exit Threshold**: ±40
---
## 📅 Backtest Summary
- **Symbol**: USD/JPY
- **Timeframe**: 1H
- **Date Range**: Jan 3, 2022 – Jun 4, 2025
- **Trades**: 924
- **Win Rate**: 41.67%
- **Profit Factor**: 1.108
- **Net Profit**: +$1,659.29 (+54.56%)
- **Max Drawdown**: -$1,419.73 (-31.87%)
---
## ✅ Summary
This strategy uses Kaufman filtering to detect market direction with reduced lag and increased smoothness.
It’s built with visual clarity and strong trade management, making it practical for both beginners and advanced users.
---
## 📌 Disclaimer
This script is for educational and informational purposes only and should not be considered financial advice.
Use with proper risk controls and always test in a demo environment before live trading.
Curved Trend Channels (Zeiierman)█ Overview
Curved Trend Channels (Zeiierman) is a next-generation trend visualization tool engineered to adapt dynamically to both linear and non-linear market behavior. It introduces a novel curvature-based channeling system that grows over time during trending conditions, mirroring the natural acceleration of price trends, while simultaneously leveraging adaptive range filtering and dual-layer candle trend logic.
This tool is ideal for traders seeking smooth yet reactive dynamic channels that evolve with market structure. Whether used in curved mode or traditional slope mode, it provides exceptional clarity on trend transitions, volatility compression, and breakout development.
█ How It Works
⚪ Adaptive Range Filter Foundation
The core of the system is a volatility-based range filter that determines the underlying structure of the bands:
Pre-Smoothing of High/Low Data – Highs and lows are smoothed using a selectable moving average (SMA, EMA, HMA, KAMA, etc.) before calculating the volatility range.
Volatility Envelope – The range is scaled using a fixed factor (2.618) and further adjusted by a Band Multiplier to form the primary envelope around price.
Smoothed Volatility Curve – Final bands are stabilized using a long lookback, ensuring clean visual structure and trend clarity.
⚪ Curved Channel Logic
In Curved Mode, the trend channel grows over time when the trend direction remains unchanged:
Base Step Size (× ATR) – Sets the minimum unit of slope change.
Growth per Bar (× ATR) – Defines the acceleration rate of the channel slope with time.
Trend Persistence Recognition – The longer a trend persists, the more pronounced the slope becomes, mimicking real market accelerations.
This dynamic, time-dependent logic enables the channel to "curve" upward or downward, tracking long-standing trends with increasing confidence.
⚪ Trend Slope
As an alternative to curved logic, traders can activate a regular Trend slope using:
Slope Length – Determines how quickly the trend line adapts to price shifts.
Multiplicative Factor – Amplifies the sensitivity of the slope, useful in fast-moving markets or lower timeframes.
⚪ Candle Trend Confirmation
A robust second-layer trend detection method, the Candle Trend System evaluates directional pressure by analyzing smoothed price action:
Multi-tier Smoothing – Trend lines are derived from short-, medium-, and long-term candle movement.
█ How to Use
⚪ Trend Identification
When the Trend Line direction and Candle Colors are in agreement, this indicates strong, persistent directional conviction. Use these moments to enter with trend confirmation and manage risk more confidently.
⚪ Retest
During ongoing trends, the price will often pull back into the dynamic channel. Look for:
Support/resistance interactions at the upper or lower bands.
█ Settings
Scaled Volatility Length – Controls the historical depth used to stabilize the volatility bands.
Smoothing Type – Choose from HMA, KAMA, VIDYA, FRAMA, Super Smoother, etc. to match your asset and trading style.
Volatility MA Length – Smoothing length for the calculated range; shorter = more reactive.
High/Low Smoother Length – Additional smoothing to reduce noise from spikes or false pivots.
Band Multiplier – Widens or tightens the band range based on personal preference.
Enable Curved Channel – Toggle between curved or regular trend slope behavior.
Base Step (× ATR) – The starting point for curved slope progression.
Growth per Bar (× ATR) – How much the slope accelerates per bar during a sustained trend.
Slope – Reactivity of the standard trend line to price movements.
Multiplicative Factor – Sensitivity adjustment for HyperTrend slope.
Candle Trend Length – Lookback period for trend determination from candle structure.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Frequent Swing Trading Supertrend Strategy (Daily)Made By Riddhiman Bandyopadhyay
How to Use-
Set Chart to Daily: Ensure your TradingView chart is set to a daily timeframe (D).
Add Strategy: Copy the Pine Script code into TradingView’s Pine Editor, compile, and add it to your NIFTY chart.
Logic Behind the Backtest : Use TradingView’s Strategy Tester to evaluate performance over the past few months (e.g., March to June 2025). Check if the buy/sell signals occur more frequently and capture shorter swings.
Fine-Tune: If signals are too frequent (leading to whipsaws), increase atr Period to 12 or factor to 3.5. If still not frequent enough, reduce maPeriod to 8 or lower the RSI thresholds to 65/35.
Why This Should Work Better
Increased Sensitivity: The Supertrend (ATR 10, factor 3.0) and 10-period SMA make the strategy more responsive to daily price movements, generating more signals.
Fewer Restrictions: Removing the 50-period SMA filter and loosening entry conditions allow trades in a wider range of market conditions.
Quicker Exits: The 3% profit target encourages faster exits, freeing up capital for new trades, thus increasing frequency.
Balanced Filtering: The RSI (70/30) still filters out extreme conditions, but it’s less restrictive, allowing more trades.
MomentumMomentum Indicator for Day Trading
This Momentum Indicator has been specifically designed for day traders to help identify and measure the speed and strength of price movements in real time. By analyzing short-term price swings, it highlights periods of acceleration or deceleration in market activity.
🔥Scalping Fusion Strategy v6🔥Scalping Fusion (v6)
✅ Overview:
This is a powerful intraday scalping strategy that combines two Super Trend systems:
Pivot Super Trend – uses dynamic pivot highs/lows and ATR-based bands.
Classic Super Trend – a traditional ATR-based trailing trend filter.
By combining both, the strategy ensures strong trend confirmation before taking trades.
⚙️ Core Logic:
Buy Entry:
Pivot Super Trend turns Bullish (Trend = 1)
Classic Super Trend also Bullish
Pivot Trend must have just changed from Bearish to Bullish
Sell Entry:
Pivot Super Trend turns Bearish (Trend = -1)
Classic Super Trend also Bearish
Pivot Trend must have just changed from Bullish to Bearish
🎯 Stop Loss / Take Profit:
Based on ATR (14):
Stop Loss = Entry ± 1.5 × ATR
Target = Entry ± 3.0 × ATR
This ensures dynamic SL/TP based on market volatility.
📈 Key Features:
Dual Super Trend Confirmation = Reduces false entries
ATR-based Stop Loss & Target = Adaptive to volatility
Pivot-based Trend Detection = Detects strong reversals
Buy/Sell labels + alerts for easy visual and automated trading
⏱️ Recommended Timeframe:
3-Minute or 5-Minute charts
Ideal for fast scalping and high-frequency trading sessions.
🧪 Backtest Suggestions:
Use during high volume hours (e.g., 9:15 AM – 2:30 PM)
Filter trades using volume or session-based logic
Consider adding maximum trades per day for better risk control
HP Strategy (Hannah's Precise) - with AlertsThis script is for a custom indicator called HP Strategy (Hannah’s Precise). It identifies high-probability buy and sell setups based on:
Order block detection (based on specific bullish/bearish candle formations)
EMA confluences (price bouncing off 20, 50, 100 EMAs)
Hull Moving Average (HMA100) for trend direction
A custom Trama line for added confirmation
The strategy ensures only buys above HMA100 and EMA100, and only sells below them
When all these conditions align with a valid order block, the indicator shows a BUY or SELL label and optionally triggers an alert.
CNN Statistical Trading System [PhenLabs]📌 DESCRIPTION
An advanced pattern recognition system utilizing Convolutional Neural Network (CNN) principles to identify statistically significant market patterns and generate high-probability trading signals.
CNN Statistical Trading System transforms traditional technical analysis by applying machine learning concepts directly to price action. Through six specialized convolution kernels, it detects momentum shifts, reversal patterns, consolidation phases, and breakout setups simultaneously. The system combines these pattern detections using adaptive weighting based on market volatility and trend strength, creating a sophisticated composite score that provides both directional bias and signal confidence on a normalized -1 to +1 scale.
🚀 CONCEPTS
• Built on Convolutional Neural Network pattern recognition methodology adapted for financial markets
• Six specialized kernels detect distinct price patterns: upward/downward momentum, peak/trough formations, consolidation, and breakout setups
• Activation functions create non-linear responses with tanh-like behavior, mimicking neural network layers
• Adaptive weighting system adjusts pattern importance based on current market regime (volatility < 2% and trend strength)
• Multi-confirmation signals require CNN threshold breach (±0.65), RSI boundaries, and volume confirmation above 120% of 20-period average
🔧 FEATURES
Six-Kernel Pattern Detection:
Simultaneous analysis of upward momentum, downward momentum, peak/resistance, trough/support, consolidation, and breakout patterns using mathematically optimized convolution kernels.
Adaptive Neural Architecture:
Dynamic weight adjustment based on market volatility (ATR/Price) and trend strength (EMA differential), ensuring optimal performance across different market conditions.
Professional Visual Themes:
Four sophisticated color palettes (Professional, Ocean, Sunset, Monochrome) with cohesive design language. Default Monochrome theme provides clean, distraction-free analysis.
Confidence Band System:
Upper and lower confidence zones at 150% of threshold values (±0.975) help identify high-probability signal areas and potential exhaustion zones.
Real-Time Information Panel:
Live display of CNN score, market state with emoji indicators, net momentum, confidence percentage, and RSI confirmation with dynamic color coding based on signal strength.
Individual Feature Analysis:
Optional display of all six kernel outputs with distinct visual styles (step lines, circles, crosses, area fills) for advanced pattern component analysis.
User Guide
• Monitor CNN Score crossing above +0.65 for long signals or below -0.65 for short signals with volume confirmation
• Use confidence bands to identify optimal entry zones - signals within confidence bands carry higher probability
• Background intensity reflects signal strength - darker backgrounds indicate stronger conviction
• Enter long positions when blue circles appear above oscillator with RSI < 75 and volume > 120% average
• Enter short positions when dark circles appear below oscillator with RSI > 25 and volume confirmation
• Information panel provides real-time confidence percentage and momentum direction for position sizing decisions
• Individual feature plots allow granular analysis of specific pattern components for strategy refinement
💡Conclusion
CNN Statistical Trading System represents the evolution of technical analysis, combining institutional-grade pattern recognition with retail accessibility. The six-kernel architecture provides comprehensive market pattern coverage while adaptive weighting ensures relevance across all market conditions. Whether you’re seeking systematic entry signals or advanced pattern confirmation, this indicator delivers mathematically rigorous analysis with intuitive visual presentation.
IU Pivot Zones + GMADESCRIPTION:
IU Pivot Zones + GMA is a smart price-action-based indicator that detects meaningful support and resistance zones formed through pivot highs/lows while combining them with dynamic zone generation and Geometric Moving Averages (GMA). This tool is built to help traders visualize institutional breakout/rejection zones with clear, logical mapping and live box management — helping you stay ahead of the move.
The indicator is designed for intraday, swing, and positional traders who want to enhance their trading decisions with visual confluence zones and market structure logic.
USER INPUTS
* Pivot point Lengths: Number of bars used to detect pivot highs/lows
* Zone length: Controls the thickness of the support/resistance zone; higher values create wider zones
* GMA Length: Period for calculating the geometric moving averages based on highs and lows
* Allow Bar/candle Color: Enables or disables special candle coloring when price interacts with the zones
LOGIC OF THE INDICATOR:
* Detects pivot highs and pivot lows using the user-defined length
* Compares consecutive pivot levels to determine if they fall within a valid ATR-based price band to form a zone
* If confirmed, the indicator dynamically plots a resistance or support box between those pivot points, colored respectively (red for resistance, green for support)
* The boxes update in real-time based on price action. If price respects the zone, the box extends forward. If price breaks the zone, the box disappears
* Geometric Moving Averages (GMA) based on logarithmic mean of highs and lows are plotted to offer a trend bias
* Candles that touch the top of the support zone are colored yellow, and those touching the bottom of the resistance zone are orange, enhancing zone reaction visibility
WHY IT IS UNIQUE:
* Uses logarithmic-based GMAs, which are smoother and less reactive than traditional moving averages
* ATR-based zone logic makes it adaptive to volatility instead of using fixed-width zones
* Combines structural levels (pivots), volatility filters (ATR), and trend overlays (GMA) in one unified tool
* Real-time zone extension and disappearance logic based on price interaction
HOW USER CAN BENEFIT FROM IT:
* Spot high-probability breakout or reversal zones that price respects consistently
* Use the GMA cloud for trend confirmation — for example, bullish bias when price is above both GMAs
* Build price action strategies around zone touches, breakouts, or rejections
* Use color-coded candles as real-time alerts for potential entry/exit signals near S/R levels
* Save time by avoiding manual marking of zones on charts across timeframes
DISCLAIMER:
This indicator is created for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. All trading involves risk, and users should conduct their own analysis or consult with a qualified financial advisor before making any trading decisions. The creator is not responsible for any losses incurred through the use of this tool. Use at your own discretion.
[Kpt-Ahab] Poor Mans Orderflow SimulatorScript Description – Poor Mans Orderflow Simulator
Purpose of the Script
This script simulates a simplified order flow approach ("Poor Man's Orderflow") without access to actual Bid/Ask data. The goal is to detect, quantify, and visualize patterns such as absorption, impulsive moves, and structured re-entry behaviors.
Calculation Logic
Absorption Candles
A candle is classified as "absorption" if:
The ratio of body size to full candle range is below a defined threshold,
Volume is significantly higher than the average of the last N periods,
The candle direction is negative (for long absorption) or positive (for short absorption).
These conditions define a candle with high activity but minimal price movement in the respective direction.
Impulse Candles
A candle is classified as "impulse" if:
The body-to-range ratio is high (indicating a strong directional move),
Volume exceeds the average significantly,
The price closes in the direction of the candle body (bullish or bearish).
Additionally, the average range of previous candles serves as a minimum benchmark for the impulse.
Cluster Detection
A cluster is detected when:
A minimum number of absorption candles is counted within a defined lookback period,
Either the long or short version of the absorption logic is used,
The result is a binary condition: cluster active or inactive.
Entry Signals (Re-entry)
An entry signal is generated when:
One or more absorption candles occurred in the last two bars,
A pullback against the direction of absorption occurs,
The current candle shows a directional move confirmed by a close in the expected direction.
These re-entry signals are evaluated separately for long and short scenarios.
Cluster-Confirmed Signals
A separate signal is generated when a valid re-entry setup occurs while a cluster is active. This represents a combined logic condition.
Alert Logic
The script provides a multi-layer alert framework:
Signal selection (Alertmode):
The user defines which signal type should trigger an alert (e.g. re-entry only, cluster only, combination, or impulse).
Optional filter (Filtermode):
A secondary filter limits alerts to cases where an additional condition (e.g. absorption cluster) is active.
Signal output:
As a simple binary value (+1 / –1) for classic alerts,
Or via an encoded Multibit signal, compatible with other modules in the djmad ecosystem.
These alerts are intended for integration with external systems or for use within platform-native visual or automation features.
Trend Signals StrategyThis strategy is designed to follow the dominant market trend and only take trades in the direction of that trend. It uses two moving averages for trend detection and candlestick confirmation for entries. The strategy can be used on any timeframe but works best on 15m to 1H for intraday trading.
Buying/Selling ProxyTiltFolio Buying/Selling Proxy
This simple but effective indicator visualizes short-term buying or selling pressure using log returns over a rolling window.
How It Works:
Calculates the average of logarithmic returns over the past N bars (default: 20).
Positive values suggest sustained buying pressure; negative values indicate selling pressure.
Plotted as a color-coded histogram:
✅ Green = net buying
❌ Red = net selling
Why Use It:
This proxy helps traders gauge directional bias and momentum beneath the surface of price action — especially useful for confirming breakout strength, timing entries, or filtering signals.
- Inspired by academic return normalization, but optimized for practical use.
- Use alongside TiltFolio's Breakout Trend indicator for added context.
Breakout TrendTiltFolio Breakout Trend Indicator
The Breakout Trend Indicator by TiltFolio helps traders identify powerful price movements by combining Donchian Channel breakouts with short- and long-term trend filters.
Key Features:
Donchian Channel Breakouts: Highlights bullish and bearish momentum as price breaks above recent highs or below recent lows.
Trend Context: Includes customizable short- and long-term moving averages (SMA or EMA) to help filter trades in the direction of the broader trend.
Breakout Memory: Remembers breakout states to avoid noise and maintain trend consistency.
Bar Counter Display: Shows how many bars have passed since the most recent breakout, helping users assess trend strength and maturity.
ATR Display: Built-in ATR (Average True Range) value offers a quick gauge of market volatility.
Clean Visuals: Color-coded candles and optional channel lines keep the chart intuitive and uncluttered.
This indicator is ideal for trend-following traders looking to stay on the right side of momentum while avoiding common whipsaws. Works best on higher timeframes (e.g. 4H, Daily, Weekly).
Free and open — feel free to customize for your strategy.
Follow TiltFolio for model portfolios and signals built on systematic methods.
PLR-Z For Loop🧠 Overview
PLR-Z For Loop is a trend-following indicator built on the Power Law Residual Z-score model of Bitcoin price behavior. By measuring how far price deviates from a long-term power law regression and applying a custom scoring loop, this tool identifies consistent directional pressure in market structure. Designed for BTC, this indicator helps traders align with macro trends.
🧩 Key Features
Power Law Residual Model: Tracks deviations of BTC price from its long-term logarithmic growth curve.
Z-Score Normalization: Applies long-horizon statistical normalization (400/1460 bars) to smooth residual deviations into a usable trend signal.
Loop-Based Trend Filter: Iteratively scores how often the current Z-score exceeds prior values, emphasizing trend persistence over volatility.
Optional Smoothing: Toggleable exponential smoothing helps filter noise in choppier market conditions.
Directional Regime Coloring: Aqua (bullish) and Red (bearish) visuals reinforce trend alignment across plots and candles.
🔍 How It Works
Power Law Curve: Price is compared against a logarithmic regression model fitted to historical BTC price evolution (starting July 2010), defining structural support, resistance, and centerline levels.
Residual Z-Score: The residual is calculated as the log-difference between price and the power law center.
This residual is then normalized using a rolling mean (400 days) and standard deviation (1460 days) to create a long-term Z-score.
Loop Scoring Logic:
A loop compares the current Z-score to a configurable number of past bars.
Each higher comparison adds +1, and each lower one subtracts -1.
The result is a trend persistence score (z_loop) that grows with consistent directional momentum.
Smoothing Option: A user-defined EMA smooths the score, if enabled, to reduce short-term signal noise.
Signal Logic:
Long signal when trend score exceeds long_threshold.
Short signal when score drops below short_threshold.
Directional State (CD): Internally manages the current market regime (1 = long, -1 = short), controlling all visual output.
🔁 Use Cases & Applications
Macro Trend Alignment: Ideal for traders and analysts tracking Bitcoin’s structural momentum over long timeframes.
Trend Persistence Filter: Helps confirm whether the current move is part of a sustained trend or short-lived volatility.
Best Suited for BTC: Built specifically on the BNC BLX price history and Bitcoin’s power law behavior. Not designed for use with other assets.
✅ Conclusion
PLR-Z For Loop reframes Bitcoin’s long-term power law model into a trend-following tool by scoring the persistence of deviations above or below fair value. It shifts the focus from valuation-based mean reversion to directional momentum, making it a valuable signal for traders seeking high-conviction participation in BTC’s broader market cycles.
⚠️ Disclaimer
The content provided by this indicator is for educational and informational purposes only. Nothing herein constitutes financial or investment advice. Trading and investing involve risk, including the potential loss of capital. Always backtest and apply risk management suited to your strategy.
Volatility Break + Trend Bias Scalper [Enhanced Visuals]Volatility Break + Trend Bias Scalper \
Overview
This strategy is designed to help traders catch high-probability breakout moves by combining real-time volatility surges with higher timeframe trend confirmation. It is particularly useful in markets like AAPL, BTC, NASDAQ, and Forex pairs where volatility and momentum often occur in bursts.
📈 Strategy Logic
🎯 1. Volatility Spike Detection
The core entry trigger is based on identifying sudden ATR-based volatility bursts:
* ATR(7) is compared to its EMA(14) smoothing.
* A volatility spike is confirmed when ATR exceeds `1.5x` the smoothed ATR.
This helps avoid entering during sideways price action and focuses only on explosive breakouts.
🧭 2. Higher Timeframe Trend Filter
To improve signal quality, the strategy checks the EMA(200) slope from a higher timeframe (e.g., 15min while trading on 3/5/45min charts):
* Bullish trend: EMA rising
* Bearish trend: EMA falling
This ensures we only trade in the direction of larger momentum.
🧠 3. Structure Break Entry
A simple but effective price action confirmation:
* Long: Close > highest close of the last 2 candles
* Short: Close < lowest close of the last 2 candles
This avoids "fake" moves and choppy zones.
🎛️ 4. Risk/Reward and Exit Logic
* Take Profit (TP) = 1.5× ATR (configurable)
* Stop Loss (SL) = 1.0× ATR (configurable)
* You can adjust this for more aggressive or conservative setups.
✅ All exits are calculated dynamically using the current ATR at trade entry.
🖥️ Visual Enhancements
This version includes:
✅ Signal markers (🔴 for Short, 🟢 for Long)
✅ Trend-colored background zones
✅ TP/SL lines drawn on chart
✅ Toggle options to enable/disable labels and TP/SL lines
These visuals help traders quickly validate signals, backtest more effectively, and share setups with clarity.
🧪 Backtest Settings
* Position Size: 1% of equity
* Commission: 0
* Slippage: Assumed minimal
* Recommended Markets: AAPL (45m), BTCUSD (5m–15m), NAS100 (15m), EUR/USD (5m)
> You can tune the strategy further using `PineScriptsAI`.
⚠️ Disclaimer
This strategy is for **educational purposes only**. It does **not constitute financial advice** or guarantees of profitability. Backtest results may vary across assets, timeframes, and market conditions.
Always validate with forward testing and sound risk management.
🔗 Built With Help From PineScriptsAI
Want to build your own version or add:
* Time filters (e.g., NY or London session)?
* Multi-take-profits or trailing stop?
* Auto alert bots to Telegram/Discord?
Wave Trend - V5Update of V4, only medium and strong signals on 4H and above time frames shown due to too much alerts produced on lower frames. Generates clear BUY/SELL signals across several timeframes comparing with BTC signals to follow the BTC trend.
TCP arsh setup candle finder by AidinA powerful tool to identify specific TCP-style bullish and bearish candles with advanced filtering options.
Supports body color filters, relative candle size, and multi-level moving average confirmations (MA1–MA4).
Custom alerts notify you when valid setups appear in recent candles.
Perfect for traders seeking cleaner entries with contextual trend validation.
Supply/Demand Zones + Engulfment-based ExecutionSupply/Demand Zones + Engulfment-Based Execution
Strategy Overview
This strategy combines institutional trading concepts—supply/demand zones and engulfing candle patterns—to generate high-probability long and short trade setups. The system uses aggregated price action to identify potential reversal zones and confirms entries with engulfing candle patterns, ensuring trades are only taken when market structure shows commitment in the direction of the trade.
Core Concepts
• Supply & Demand Zones: These are automatically detected by analyzing aggregated bullish and bearish candle structures over user-defined intervals. Supply zones are formed after bearish continuation patterns; demand zones appear after bullish continuation patterns.
• Engulfing Entries: Once price enters a zone, the strategy waits for a bullish engulfing pattern (in a demand zone) or a bearish engulfing pattern (in a supply zone) before executing a trade. This adds confirmation and reduces false signals.
• Risk Management: Stop-loss is placed at the low (for long trades) or high (for short trades) of the engulfed candle. Take-profit can be calculated using a fixed R-multiple (risk-to-reward ratio) or a user-defined target price.
Key Features
Fully customizable aggregation factor for zone detection
Visual zone boxes, entry/SL/TP boxes, and engulfing pattern labels
Optional removal of mitigated zones for cleaner charting
Configurable trade mode (Long only, Short only, or Both)
Support for trading sessions and date filtering
Alerts for price entering supply or demand zones
How to Use
Select Aggregation Factor: Choose how many candles to group together for identifying key zones (e.g., 4x timeframe).
Enable Zones: Turn on supply and/or demand zones as needed.
Set Execution Parameters:
– Choose R-multiple (e.g., 2:1 risk-reward)
– Or use a fixed take-profit price
Define Trade Time Window:
– Set the date and time ranges to restrict execution
– Use Start Hour and End Hour to limit trades to specific sessions (e.g., London/New York)
Run on Desired Timeframe: Typically used on 15m–4H charts, depending on your strategy and the asset’s volatility.
Ideal For
• Traders using Smart Money Concepts (SMC)
• Those who value high-confluence entries
• Intraday to swing traders looking for structure-based automation
⚠️ Important Notes
• The strategy requires engulfing confirmation within the zone to enter a position.
• This script does not repaint and executes trades on a bar close basis.
• Backtest results may vary based on session filters and aggregation factor.
© Attribution
This strategy was developed by The_Forex_Steward and is licensed under the Mozilla Public License 2.0.
You are free to use, modify, and distribute it under the terms of that license.