IKODO Engulfing Strategy with Dynamic RR# 📈 ELITE ENGULFING STRATEGY - PUBLICATION DESCRIPTION
## **🎯 TITLE:**
**Elite Engulfing Strategy with Dynamic Risk Management - Advanced Pattern Recognition System**
---
## **📊 DESCRIPTION:**
### **🚀 OVERVIEW:**
The **Elite Engulfing Strategy** is a sophisticated trading system that combines advanced pattern recognition with dynamic risk management. This strategy identifies high-probability engulfing patterns while using the 50 EMA as a trend filter, ensuring trades align with the dominant market direction.
### **🔍 KEY FEATURES:**
**📈 ADVANCED PATTERN RECOGNITION:**
- Enhanced engulfing pattern detection with mathematical validation
- Quality filters including wick analysis and body-to-body ratio
- Volume confirmation for signal strength
- ATR-based volatility filtering for optimal entry timing
**🎯 DYNAMIC RISK MANAGEMENT:**
- Customizable Risk-Reward ratio (0.5x to 10x)
- Fibonacci-based take profit levels using swing highs/lows
- ATR-enhanced stop loss placement with buffer zones
- Real-time position sizing based on market volatility
**📊 INTELLIGENT FILTERING SYSTEM:**
- 50 EMA trend filter for directional bias
- Volume multiplier confirmation (1.0x to 3.0x average)
- Minimum engulfing ratio validation (0.01 to 1.0)
- Maximum wick ratio quality control (10% to 80%)
**🔔 COMPREHENSIVE ALERT SYSTEM:**
- Real-time entry signals with price and RR information
- Both alertcondition() and alert() functions for maximum compatibility
- Detailed signal descriptions for manual verification
### **📋 STRATEGY LOGIC:**
**🟢 LONG ENTRY CONDITIONS:**
- Price above 50 EMA (bullish trend confirmation)
- Current bullish candle completely engulfs previous bearish candle
- Current candle's low penetrates previous candle's low
- Volume exceeds average by specified multiplier
- ATR volatility meets minimum threshold
- Wick size within acceptable parameters
**🔴 SHORT ENTRY CONDITIONS:**
- Price below 50 EMA (bearish trend confirmation)
- Current bearish candle completely engulfs previous bullish candle
- Current candle's high penetrates previous candle's high
- Volume and volatility confirmations as above
### **⚙️ CUSTOMIZABLE PARAMETERS:**
**🎯 Risk Management:**
- Risk-Reward Ratio: 0.5 to 10.0 (default: 2.0)
- Fibonacci TP Level: 0.236 to 1.0 (default: 0.618)
- Use Fibonacci toggle for advanced exit strategy
**📈 Trend Analysis:**
- EMA Length: 1 to 200 periods (default: 50)
- EMA Source: OHLC4, Close, HL2, etc.
**🔍 Pattern Quality:**
- Minimum Engulfing Ratio: 0.01 to 1.0 (default: 0.1)
- Maximum Wick Ratio: 10% to 80% (default: 30%)
**🔧 Advanced Filters:**
- Volume Filter: On/Off with 1.0x to 3.0x multiplier
- ATR Filter: 1 to 50 periods with 0.1 to 2.0 ratio threshold
### **📊 PERFORMANCE METRICS:**
- Real-time P&L tracking
- Current trend identification
- ATR volatility measurement
- Risk-reward ratio display
- Strategy parameter overview
### **🎨 VISUAL ELEMENTS:**
- 50 EMA trend line with dynamic coloring
- Entry signals with triangular markers
- Stop loss and take profit levels
- Entry price reference line
- Comprehensive information table
### **💡 BEST PRACTICES:**
- Recommended for 1H to 4H timeframes
- Works best in trending markets
- Combine with higher timeframe analysis
- Use proper position sizing (1-2% risk per trade)
- Monitor during high-impact news events
### **🔧 COMPATIBILITY:**
- Pine Script v6
- Compatible with all TradingView account types
- Optimized for both free and premium users
- Works on all asset classes (Forex, Crypto, Stocks, Indices)
### **⚠️ DISCLAIMER:**
This strategy is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose. Test thoroughly on paper trading before live implementation.
## **📝 USAGE INSTRUCTIONS:**
1. Add the strategy to your chart
2. Adjust parameters according to your risk tolerance
3. Set up alerts for automated notifications
4. Backtest on your preferred timeframe and asset
5. Start with paper trading to validate performance
6. Implement proper position sizing for live trading
**🎯 Ready to elevate your trading game with professional-grade pattern recognition!**
Análise de Tendência
NA GPT - TTM Squeeze Strategy**NA GPT - TTM Squeeze Strategy**” transforms the well-known TTM Squeeze indicator into a back-testable, long-only strategy.
It combines **volatility compression** (Bollinger Bands inside Keltner Channels) with **momentum confirmation** to catch powerful bullish breakouts and then trails positions with a simple 21-period moving-average stop.
---
## 1. Core Concepts & Calculations
| Component | What it measures | How it works |
| ---------------------- | ------------------------------------------------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Squeeze State** | Volatility contraction vs. expansion | • Calculate a 20-period Bollinger Band (BB). • Calculate a 20-period Keltner Channel (KC). • **Squeeze ON** when the entire BB is *inside* the KC (narrow volatility). |
| **Momentum Histogram** | Direction & strength of pressure building inside the squeeze | • Compute the midpoint of the recent high/low range and the 20-period SMA of close. • Take the price’s deviation from that blended average. • Fit a **20-period linear regression** to that deviation to produce the histogram. • Color logic: ↗ increasing green/lime for strengthening bulls, ↘ red/maroon for bears. |
| **Blue-Dot Theme** | Visual cue of squeeze state | • **Navy-blue dot** = Squeeze ON (ready to pop). • **Steel-blue dot** = Squeeze just released. • **Sky-blue dot** = Neutral (no squeeze). |
---
## 2. Trade Logic
| Step | Condition | Rationale |
| ---------------- | ------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------- |
| **Entry (Long)** | Three consecutive navy-blue dots (i.e., **3 bars with Squeeze ON in a row**) *inside the user-defined date window*. | Requires sustained volatility compression before committing capital, filtering out one-bar “fake” squeezes. |
| **Exit (Flat)** | Close price **crosses below** the 21-period Simple Moving Average. | A classic trailing stop that lets profits run while cutting momentum failures. |
| **Positioning** | Long-only, one trade at a time. No short sales. | Focuses on bullish breakouts, keeps strategy simple and margin-friendly. |
---
## 3. Inputs & Customisation
| Input | Default | Purpose |
| -------------------------- | ------------------------ | ---------------------------------------------- |
| **BB Length / Multiplier** | 20 / 2.0 | Adjust sensitivity of Bollinger Bands. |
| **KC Length / Multiplier** | 20 / 1.5 | Adjust Keltner Channel width. |
| **Use True Range (KC)** | ✔ | Pick *True Range* vs. *High-Low* for KC width. |
| **Trade Window** | 1 Jan 2022 → 31 Dec 2069 | Back-test only the period you care about. |
| **Commission** | 0.01 % | Embedded in `strategy()` header. |
| **Slippage (Ticks)** | 3 | Models real-world order fill uncertainty. |
---
## 4. Visual Outputs
* **Momentum Histogram** (green / lime / red / maroon).
* **Zero Line** colored by squeeze state (blue / dark navy / grey).
* **Blue-Dot Row** at the chart bottom showing squeeze timing.
The visuals are **identical** to the original indicator, letting you correlate back-test trades with familiar chart cues.
---
## 5. How to Use
1. **Add to chart**, choose your symbol & timeframe (works on anything from 1-minute to weekly).
2. **Tune the BB/KC/ATR settings** to match instrument volatility.
3. **Adjust the date window** for focused walk-forward testing.
4. Run the “**Strategy Tester**” to inspect historical performance, P\&L; curves, drawdowns, and trade list.
5. Use the plotted dots & histogram to visually validate why each trade fired.
6. Combine with your own risk-management (position sizing, portfolio filters, etc.) before going live.
---
## 6. Practical Notes
* Designed for educational/back-testing purposes—**not financial advice**.
* Long-only by design; add your own short logic if desired.
* Because exits rely on the 21-SMA, extremely low-volume instruments or illiquid intraday timeframes may experience wider drawdowns.
* Commission/slippage values are easily editable in the first line of the script.
Multi-Indicator Trend-Following Strategy v7This strategy is a trend-following system that combines multiple technical indicators into a single, optimized indicator to help identify high-probability Buy and Sell opportunities while maintaining a clean and uncluttered chart.
✅ How It Works:
This script utilizes a combination of Exponential Moving Averages (EMAs), Relative Strength Index (RSI), Volume, MACD, and Average True Range (ATR) to determine trade entries and exits.
🟢 Buy Conditions:
Trend Crossover Entry:
A Buy signal is generated when the Fast EMA crosses above the Slow EMA, indicating a potential bullish trend.
Oversold Reversal Entry:
Alternatively, a Buy is triggered when:
The Slow EMA is significantly below the Fast EMA (oversold market behavior),
The current price is well below the Fast EMA,
A volume spike occurs, suggesting a possible reversal.
🔴 Sell Conditions:
Trend Crossover Exit:
A Sell signal is generated when the Fast EMA crosses below the Slow EMA, indicating a bearish shift.
Overbought Reversal Exit:
A Sell is triggered when:
The Slow EMA is above the Fast EMA by a wide margin,
The price is well above the Fast EMA,
A volume spike suggests downward reversal pressure.
📏 Risk Management:
Uses ATR-based stop-loss and take-profit levels to dynamically manage risk per trade.
Includes adjustable input options for ATR multipliers, moving average lengths, volume filters, and more.
🧩 Why Use This Strategy?
Rather than juggling multiple indicators manually, this script combines and simplifies them into a single, convenient strategy. It’s ideal for traders who want:
Clean visual signals,
Robust entry/exit logic backed by volume and trend behavior,
A modular and customizable setup for testing and optimization.
⚠️ Disclaimer: This script is for educational and informational purposes only. It does not constitute financial advice. Always backtest strategies thoroughly and use proper risk management when trading live.
Nikko William StrategyWelcome to Williams %R Strategy for Pine Script v6
Results may vary depending on the timeframe, asset, and configuration.
📘 Strategy Overview
This strategy is powered the Williams %R (pronounced "Williams Percent R") is a momentum oscillator developed by Larry Williams. It helps traders identify overbought and oversold conditions in the market — similar to the RSI, but inverted.
⚙️ Strategy Characteristics
This system is an experimental strategy and should be used with caution.
🛠️ Key Parameters
Bar Multiple:
Controls how frequently new positions are opened/closed in an uptrend/downtrend.
For example, setting this to 3 means the strategy will enter once every 3 bars during an uptrend, reducing overexposure and allowing better pyramid spacing.
Close All When Bearish:
When enabled, this forces the strategy to close all open positions as soon as the trend turns bearish. When disabled, it allows for pyramiding in both directions, depending on your risk tolerance.
Disclaimer:
This strategy is provided for educational and informational purposes only. Trading involves risk, and results may vary depending on configuration and market conditions. Always backtest thoroughly over a significant number of trades and monitor live performance carefully before considering any real trading. I am not offering financial advice.
Nikko MACD + SMA 200 MEME coin strategyStrategy: MACD + SMA 200
Version: 2.0
Original Concept: ChartArt – November 30, 2015
Updated By: CryptoNikkoid – June 2025
📈 Description
This strategy combines the MACD indicator with a long-term trend filter using the 200-period Simple Moving Average (SMA 200). It aims to capture trend-following entries while avoiding false signals during choppy or sideways markets.
✅ Entry Conditions
Long Entries:
MACD Histogram is greater than 0
MACD Momentum is positive
MACD Fast Line crosses above the Slow Line
Price is above the SMA 200
Short Entries:
All of the above conditions are reversed
MACD Histogram < 0
MACD Momentum < 0
Fast Line crosses below the Slow Line
Price is below the SMA 200
🛡️ Risk Management
Includes a maximum intraday equity loss filter of 50% to prevent large drawdowns.
Disclaimer:
This strategy is provided for educational and informational purposes only. Trading involves risk, and results may vary depending on configuration and market conditions. Always backtest thoroughly over a significant number of trades and monitor live performance carefully before considering any real trading. I am not offering financial advice.
NA GPT - TTM Squeeze Strategy### Strategy Overview
“**NA GPT – TTM Squeeze Strategy**” converts John Carter’s TTM Squeeze indicator into a long-only, fully back-testable TradingView strategy. It looks for prolonged volatility compression, rides the breakout, and exits only when momentum fades beneath a 21-period EMA **after** the squeeze has fired.
---
#### 1. Core Concepts & Calculations
**Squeeze state** – A squeeze is “ON” when a 20-period Bollinger Band (2 × std-dev) fits completely inside a 20-period Keltner Channel (1.5 × ATR or High-Low range). This signals tight volatility ready to expand.
**Momentum histogram** – The script measures price’s deviation from a blended average of (highest + lowest)/2 and the 20-SMA, then applies a 20-bar linear regression. Rising green/lime bars show strengthening bulls; falling maroon/red bars show growing bears.
**Blue-dot theme** – Dots plotted at the chart bottom highlight the squeeze status:
* Navy-blue = squeeze ON (volatility compressed)
* Steel-blue = squeeze just released
* Sky-blue = no squeeze
---
#### 2. Trading Logic
* **Entry (long):** fires when three consecutive navy-blue dots appear. Requiring three bars filters out one-bar false signals.
* **Exit (flat):** triggers only when price **closes below the 21-period EMA *and* the squeeze is no longer ON**. This keeps the position alive during healthy up-trend closes above the EMA or while the squeeze is still building.
* **Positioning:** one long position at a time; no shorts.
---
#### 3. Inputs & Parameters
* Bollinger Band length and multiplier (default 20 / 2.0).
* Keltner Channel length and multiplier (default 20 / 1.5).
* Option to base KC width on True Range instead of High-Low.
* User-defined trade window — by default 1 Jan 2022 through 31 Dec 2069 — lets you restrict back-tests to specific periods.
* Commission is fixed at **0.01 %**, slippage at **3 ticks**, both set in the strategy header and easily editable.
---
#### 4. Visual Outputs
* Momentum histogram coloured lime/green/red/maroon.
* Zero line tinted blue/navy/grey by squeeze status.
* Blue-dot row marking each squeeze bar.
These visuals are identical to the original indicator, so you can quickly see why each trade fired.
---
#### 5. How to Use
1. Add the script to any symbol and timeframe.
2. Adjust BB/KC settings to suit your instrument’s volatility.
3. Narrow or widen the trade-window dates for focused testing.
4. Open the **Strategy Tester** to review historical performance, trade list, and drawdowns.
5. Validate trades visually: entries follow three navy dots; exits occur only once price drops below EMA-21 and the squeeze has released.
6. Layer in your own filters (higher-timeframe trend, volume, risk-management, etc.) before live deployment.
---
#### 6. Practical Notes
* Built for research and education — **not financial advice**.
* EMA-based exits can lag during violent reversals; use additional stops if trading thin or fast markets.
* The script is closed-source, but all key calculations and trade rules are fully described above so you can understand exactly what drives every entry and exit.
AI backfinder - ANON Gold | SL |Description
The AI Backfinder strategy is an advanced momentum-based trading engine built to dynamically adapt to market structure using a hybrid of volatility filters, trend confirmation logic, and layered take-profit systems. It is ideal for identifying precision entries and managing trades across trending or choppy environments.
This system combines a smart trend detection, zone-based exits, and a re-entry engine to maximize trade efficiency while minimizing drawdown.
Core Features
✅ AI Entry Engine
Detects trend flips using a layered confirmation system (EMA, ATR, reactivity, and buffer logic).
Supports re-entry during sustained trends with customizable cooldown.
Labels entry points directly on chart.
✅ Dynamic Exit Options
1. Fixed TP/SL: Clean, rule-based percentage exits.
2. Trailing TP: Locks in profit as price advances default (recommended)
✅ Heikin Ashi & Reversal Zone Visualization
Optional overlays enhance clarity of trend strength and zone interaction.
Zones adapt to real-time volatility structure.
✅Customizable Settings
- Reactivity (1–5): Adjusts sensitivity of trend flips.
- ATR / EMA Settings: Fine-tune core volatility calculations.
- Fixed, Dynamic, or Hybrid TP logic: Choose the best fit for your strategy.
- Entry Cooldown: Prevents rapid-fire signals after a flip.
- Chop Handling: Toggle filters and auto-adjustments for consolidation phases.
- Visual Toggles: Choose what overlays and signals appear on your chart.
✅Best Use Cases
Works on all assets and timeframes; optimized for Gold, Indices, and Crypto.
Ideal for intraday traders, swing traders, and AI-assisted strategy developers.
Suitable for both directional and range-based environments with built-in adaptability.
Notes
Backtest performance may vary across assets—tune settings accordingly.
Ensure your TP/SL logic aligns with your position sizing and risk parameters.
For advanced users, this script is modular and can be extended with custom logic.
SPX Breadth MA 200 Trend Following Strategy [TradeSoEasy]運用「S&P 500 成分股中價格高於200日移動平均線的百分比」作為核心指標,精準捕捉市場主要趨勢。
策略核心邏輯:
📈 進場條件 (多頭): 當S&P 500成分股中,價格高於200日均線的股票百分比超過 %時,判斷市場處於強勢,執行買入操作。
📉 出場條件 (平倉): 當該百分比跌破 %時,判斷市場趨勢可能轉弱,執行平倉操作。
重要提示:數據來源與計算
本策略透過request.security()函數引用外部市場廣度數據S5TH,請確保您了解該數據的來源與特性。
⚠️ 重要免責聲明與風險提示:
回測結果不代表未來表現: 歷史績效數據僅供參考,不保證未來也能取得相同或類似的回報。
-------------------------------------
Strategy Core Logic: S&P 500 Breadth & Trend Following
This strategy utilizes the "Percentage of S&P 500 Components Above their 200-Day Moving Average" as its core indicator to accurately capture the market's primary trend.
📈 Entry Condition (Long): When the percentage of S&P 500 components whose price is above their 200-day MA exceeds %, the strategy identifies a strong market and executes a buy (long) operation.
📉 Exit Condition (Close Position): When this percentage falls below %, the strategy identifies a potential weakening or reversal in the market trend and executes a close position.
Important Note: Data Source & Calculation
This strategy uses the request.security() function to reference external market breadth data, specifically the S5TH symbol. Please ensure you understand the source and characteristics of this data, as it is not calculated internally by the Pine Script from individual S&P 500 components.
⚠️ Important Disclaimer & Risk Warning:
Past performance is not indicative of future results: Historical performance data is for informational purposes only and does not guarantee similar returns in the future.
Real-world trading costs: Please note that actual trading involves commissions, slippage, and liquidity factors that may differ from backtest results, impacting your final returns.
Supertrend Strategy Optimized by GUNJAN🧠 Overview
This script is a Supertrend-based strategy, optimized specifically for short time frames (e.g., 1–15 minutes). It combines Average True Range (ATR) volatility filtering with directional price action logic to define dynamic trailing stop levels that flip trend direction efficiently.
Unlike basic mashups, this version enhances Supertrend by:
Supporting both SMA and RMA ATR calculations (toggleable)
Enabling precise control over ATR period and multiplier
Integrating backtesting logic with configurable stop-loss and take-profit
Providing visual trend zones, alerts, and trade markers
⚙️ Strategy Logic
Trend Flip Logic:
An uptrend is confirmed when price closes above the prior lower band.
A downtrend is confirmed when price closes below the prior upper band.
ATR Bands:
Bands are calculated using either SMA or RMA of the True Range.
The multiplier expands/shrinks the band based on recent volatility.
Signal Conditions:
A buy signal is generated when a downtrend flips to an uptrend.
A sell signal is generated when an uptrend flips to a downtrend.
Trade Execution:
Entry is triggered on trend flips.
Exits use fixed take-profit and stop-loss percentages, adjustable via inputs.
📊 Strategy Defaults
Account Size: 100% equity used per trade (can be adjusted in settings)
Stop Loss: 1%
Take Profit: 3.0%
ATR Period: 14.0
ATR Multiplier: 2.0
Commission/Slippage: Configure manually based on broker
⚠️ Default settings risk ~1.5% of equity per trade and target ~3%. This keeps position sizing within sustainable limits, consistent with responsible risk management guidelines.
📈 Use Case
This Supertrend strategy is ideal for:
Scalpers or short-term traders on lower timeframes
Volatile markets where momentum quickly shifts (e.g., crypto, indices)
Traders who prefer trend-following with defined risk
🔔 Alerts Included
Buy Signal
Sell Signal
Trend Direction Change
Use these to integrate with alerts, automation, or webhook-based trade systems.
High/Low Pivot StrategyThis script is a trading strategy designed to identify and trade based on pivot high and pivot low levels. It allows for both long and short trades and includes stop loss and take profit levels based on fixed points. The strategy operates on a user-defined pivot range and visualizes trade signals, stop loss, and take profit levels on the chart.
ATS Tokyo Opening Range Breakout Algo v9.1ATS Tokyo Opening Range Breakout Algo v9.1
This strategy is built for intraday breakout trading during the Tokyo session, leveraging a structured Opening Range (10:00–11:00 AM Sydney time) and a pre-determined directional bias. It is designed to take only one trade per day—long or short—if a breakout occurs beyond the range high or low and aligns with the day's bias.
Key Features:
Bias-Driven Trading: Accepts trades only if they match the user-defined daily directional bias (long, short, or neutral).
Opening Range Logic: Defines a fixed range, filters breakouts based on candle closes beyond this range, and applies a maximum range threshold.
VWAP Filter: Optional filter requiring price to be above or below VWAP to confirm directional alignment.
Date-Based Trade Scheduling: Supports a custom daily trade direction calendar, allowing precise historical strategy control.
Full Risk Management Suite:
Stop Loss, Take Profit, Trailing Stop, and BreakEven logic
Partial Take Profit system with customizable quantity and trigger
Session Management:
Trade entries allowed only within a defined window
Auto-exit all trades before the next Tokyo session (default 6:45 AM)
Backtesting Controls: Includes time-bound backtest ranges and day-of-week filters.
Chart Visuals: Optional display of OR range, trade entries/exits, SL/TP levels, and session markers.
This strategy is built for structured execution in the Tokyo session. It enforces a single trade per day based on predefined bias, manages all risk parameters, and supports both live and backtest environments with full control over time, filters, and trade conditions.
Dual TF Stochastic StrategyCore Strategy Components:
Uses two Stochastic oscillators (Primary and Reference)
Both use 15-second timeframe (15S)
Primary Stochastic settings:
K Length: 12
K Smoothing: 12
D Length: 12
Reference Stochastic settings:
K Length: 12
K Smoothing: 15
D Length: 30
Entry Logic:
Long Entries occur when:
Primary %K crosses over %D
AND either:
Reference %D is ≥ 50 or < 20
OR Primary %K is close to Reference %D (within 0.15)
AND price is above Moving Average (if MA filter enabled)
AND during regular market hours (9:30 AM - 4:00 PM ET)
Short Entries occur when:
Primary %K crosses under %D
AND either:
Within tolerance of Reference %D
OR specific crossunder conditions met
AND price is below Moving Average
AND during regular market hours
Exit Logic:
Time-based exits:
At 3:30 PM ET
End of regular market hours
Technical exits:
Long positions: When Primary %K crosses under Reference %D
Short positions: When Primary %K crosses over Reference %D and Reference %D > 20
Pattern Detection:
Higher Low Pattern:
Current crossover %K > Previous crossover %K
Bullish continuation pattern
Lower High Pattern:
Current crossunder %K < Previous crossunder %K
Bearish continuation pattern
Risk Management:
Price difference filters:
Maximum price difference: 0.1%
Minimum price difference for shorts: 0.1%
Reference %D tolerance: 0.1%
Close %K tolerance: 0.7%
Strengths:
Multiple confirmation layers (dual timeframes, MA filter)
Clear entry/exit rules
Pattern recognition for trend continuation
Time-based filters to avoid volatile periods
Comprehensive alert system
Potential Limitations:
Short timeframe (15S) may generate more false signals
Tight price difference filters might miss some opportunities
Relies heavily on Reference %D levels
No stop-loss implementation visible in the code
Suggested Improvements:
Add stop-loss mechanisms
Implement position sizing rules
Add volume confirmation
Consider adding RSI or other momentum filters
Add backtesting statistics tracking
Best Use Cases:
Day trading in liquid markets
Markets with clear trends
Time periods with normal volatility
When price action aligns with Stochastic signals
Risk Considerations:
High-frequency trading due to 15S timeframe
Multiple entries possible in short timeframes
No explicit risk management beyond entry/exit rules
Market hours limitation might miss opportunities
OCC Strategy R5.2 w/BOS+CHOCH (Non-Repainting)This trading strategy is like a smart assistant that helps decide when to buy or sell based on trends, momentum, and market structure. Here’s how it works in simple terms:
Trend Detection – Uses moving averages (like EMA or SMA) to spot if the market is going up or down.
Confirmation Filters – Checks extra indicators (RSI, RVI, volatility) to avoid bad trades in choppy or weak markets.
Break of Structure (BOS) – Looks for strong moves breaking past highs/lows to confirm a trend.
Change of Character (CHOCH) – Detects when the trend might be reversing to exit trades early.
Time-Based Rules – Only trades during active market hours (like London/NY sessions) if enabled.
Non-Repainting – All signals are based on past confirmed data, so they don’t change after the fact.
In short: It follows trends but double-checks with multiple tools to avoid fakeouts, and exits when the market behavior changes. Great for traders who want a rules-based system without guesswork!
SY_Quant_AI_YJStrategy Overview
Strategy Name: SY_Quant_AI_YJ
Description:
SY_Quant_AI_YJ is a trend-based automated trading strategy designed to help users identify market direction and execute entries and exits accordingly. It leverages a combination of market structure and volatility-based filters to manage positions with dynamic risk control.
This strategy is suitable for a variety of market conditions and is optimized for both uptrend and downtrend scenarios. It includes built-in mechanisms for stop-loss and take-profit alerts to assist in preserving capital and securing profits during favorable movements.
How It Works:
The strategy automatically detects directional bias and reacts accordingly.
Long and short entries are generated based on internal logic that evaluates trend consistency and momentum.
Stop-loss levels are dynamically calculated to cap downside risk, while take-profit alerts are triggered when profit thresholds are met.
Key Features:
Automatic trade signals for both bullish and bearish conditions.
Visual markers on the chart for entry and exit signals.
Risk management through adjustable loss limits and profit alerts.
Best For:
Trend-following swing traders
Automated trading system users
Traders seeking structured entries with predefined exit logic
Important Notes:
This strategy is not financial advice. Always backtest before using on a live account.
Leverage and market volatility may amplify both gains and losses.
Strategy alerts are passive reminders and do not constitute trading signals on their own.
Disclaimer:
This script is intended for educational and informational purposes only. Trading involves risk. Please trade responsibly and ensure you understand the mechanics of the strategy before live deployment.
XAUUSD Universal Pattern Recognition StrategyPattern strategy is an approach based on identifying and applying recurring patterns and structures in the process of solving problems. It is widely used in various fields such as business, programming, marketing, psychology, and others.
Money Flow Concept by GUNJAN [Strategy]1. 🔖 Add Script Description Block
Include a clear docstring-style description at the top of your code. This appears in the Public Library and helps users understand what it does.
✅ Example:
pinescript
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Edit
//@description
// 💰 Money Flow Concept by GUNJAN
//
// A trend-following strategy that adapts to both intraday and swing trading.
// It detects optimal trend periods using log-linear regression and filters trades using a higher timeframe EMA (default 1H).
// Risk:Reward ratio is set to 1:3 with automatic SL/TP placement.
// ✅ Signals are filtered by trend confirmation for high probability trades.
// 📈 Designed for manual traders and backtesting.
// 🔔 Includes alerts and visual trade markers.
//
// Suitable markets: Stocks, Futures, Crypto
2. 📊 Explain Inputs
You should document each user-facing input for clarity in the UI:
pinescript
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Edit
// === INPUTS === //
sourceInput = input.source(close, title = 'Source (Price Input)')
periodMode = input.bool(false, 'Use Swing Mode (Long-Term)', tooltip = "If checked, uses longer periods for slower trend detection.")
devMultiplier = input.float(2.0, 'Deviation Multiplier (Volatility Band)', step = 0.1, tooltip = "Adjusts sensitivity of channel size.")
rewardRiskRatio = input.float(3.0, 'Reward to Risk Ratio', step = 0.5, tooltip = "Defines TP as a multiple of the stop-loss distance.")
3. 🧪 Add Backtesting Period Limiter (Optional but Recommended)
For fair backtesting performance comparison:
pinescript
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startTest = input.time(timestamp("2023-01-01 00:00"), "Backtest Start")
endTest = input.time(timestamp("2025-12-31 23:59"), "Backtest End")
inTimeRange = time >= startTest and time <= endTest
Then wrap your strategy entry blocks like this:
pinescript
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if (longEntry and inTimeRange)
strategy.entry("Long", strategy.long)
strategy.exit("TP/SL Long", from_entry="Long", limit=longTP, stop=longSL)
if (shortEntry and inTimeRange)
strategy.entry("Short", strategy.short)
strategy.exit("TP/SL Short", from_entry="Short", limit=shortTP, stop=shortSL)
4. 🔔 Test Alerts
Ensure alerts are working by adding them in the TradingView Alert panel. No changes needed in the script, just confirm they trigger.
✅ Strategy Title and Tags for Publishing
Name: Money Flow Concept by GUNJAN
Category: Strategy
Tags: trend following, regression, risk management, intraday, swing trading, volume, momentum, ema, automated
✅ Summary of What’s Now Included
Feature Included?
Strategy logic (buy/sell) ✅
Stop loss and take profit ✅
Risk/reward 1:3 ✅
Trend filtering (EMA MTF) ✅
Visual markers ✅
Alerts ✅
Table showing stats ✅
Ready to publish on TV ✅
Fibonacci Trend Trade by Soran v1.51 time until 2 weeks🎯 Fibonacci Trend Strategy – Trial Version (v1.5)
This script is a simplified and time-limited version of the full Fibonacci-based trend reversal strategy designed for short-timeframe trading (1m–15m).
Included in this trial:
- Dynamic Fibonacci zone calculation
- Basic entry conditions (simplified)
- Built-in expiration date: Julni 25, 2025
🚫 This version will stop functioning after the expiration date.
🔒 The full version includes:
- Dual Take Profit logic
- RSI + Volume filters
- Live win rate & PnL tracking
- Invite-only script access
For more details, check my profile or contact me directly.
— Onur Soran
Fibonacci Trend Trade by Soran v1.5🔹 Fibonacci Trend Trade by Soran v1.5
A Precision-Based Reversal Strategy for Scalpers and Intraday Traders
Fibonacci Trend Trade v1.5 is a sophisticated TradingView strategy designed for short-timeframe trading (1, 5, and 15-minute charts). It combines Fibonacci levels, volume spikes, RSI signals, and candle wick analysis to identify high-probability trend reversals. Developed with precision and scalability in mind, it offers both beginners and professional traders a data-driven approach to crypto markets.
🧠 Core Concept
The strategy aims to enter trades at or near key Fibonacci levels where price is likely to react. It uses:
Fibonacci retracement & extension levels (from 0.236 to 1.618)
RSI-based momentum validation
Volume spike confirmation
Wick structure analysis
to score and filter each trade signal.
⚙️ Key Features
✅ Dynamic Fibonacci Calculation
Automatically draws levels based on recent swing highs/lows, adapting to changing market structure.
✅ Double Take Profit Targets (TP1 & TP2)
TP1: 70% of the position is closed early for safety
TP2: 30% rides to a higher target
A shared stop-loss protects both portions
✅ Volume & Momentum Filtering
Volume must exceed a 50-bar average × multiplier. RSI signals are filtered with a short-period RSI MA.
✅ Candle Wick Logic
Price must wick into key zones (e.g., below Fib 0 for longs, above Fib 1 for shorts) to confirm the entry.
✅ Built-In Performance Tracking
Live display of:
Win Rate (%)
Total PnL
Trade Count
for transparent performance evaluation
📌 Trade Conditions
🔸 Long Entry:
Price dips near Fib 0 with bullish wick
Volume spike or RSI oversold
Entry only if price closes above open and below Fib 0.236
🔸 Short Entry:
Price hits Fib 1 with bearish wick
Volume spike or RSI overbought
Entry only if price closes below open and above Fib 0.786
🛠️ Fully Customizable Inputs
fibLen: Fibonacci range lookback
fibTol: Fib level proximity tolerance
volMult: Volume spike filter multiplier
tpPerc / tp2Perc: Profit target levels
slPerc: Stop loss level
rsiLength / rsiMaLen: RSI and smoothing period
⚡ Best Use Cases
Scalp trading on crypto assets
1–15 minute high-frequency strategies
Price action around key trend reversal zones
Use with 10x–50x leverage for aggressive entries
Ideal for manual or automated systems via alerts
📈 Built for Real Results
Whether you're a discretionary trader or running bots via alerts, Fibonacci Trend v1.5 gives you structure, reliability, and flexibility. Its win rate and live PnL tracking help you monitor performance and adjust risk levels easily.
Turtle Trading System (Full Version)The turtle trader strategy by Richard Dennis, buys from breakouts and uses volatility for sizing. Accurate on most asset classes, best on Gold.
Way of Radius v1The curving Radius is great for catching bounces. supertrend is a good trail and also a bouncing point. point of control or the grey lines on 200 is great for catching bounces and market direction. initial balance is a ranged price filter. Time filter is to not trade bad market times
Medico Action Zone self adjust TFput "buy" and "sell" signal by using EMA 12/26 and you can adjust TF for short term or long term.
Ai Bitcoin Sell & Short Manipulations & Institucional sales [AW]Dear trader,
Developed with the help of professional analysts and artificial intelligence to adapt Sell signals to the modern, constantly changing and highly volatile BTCUSD market, as well as taking into account the presence and actions of large institutional players.
This strategy is a continuation of another script for buying Bitcoin (Ai BTC Signals Buy & Whales / Liquidation - Strategy ), the script was moved to a separate script because the code was too large to fit in one script.
Key differences: this script only shows sell signals and short manipulations and displays sales of institutional players who opened short positions. The strategy allows you to instantly evaluate any configuration that you set in the indicator and see the results reflected in professional performance indicators corresponding to the strategy you have chosen.
The indicator displays several signals on the chart:
1) Sell signal (label "S")
2) Take profit line and price (blue lines)
3) Stop loss line and price (crimson lines)
4) Short Manipulations (bars highlighted with light pink background)
5) Institutional sales - selling with small, medium and large volumes (circles of different sizes in burgundy color)
The indicator does not repaint, as it is based on displaying signals only after the candle closes, so the calculations are correct and not distorted.
Recommended pair: BTCUSD; BTCUSDT; BTCUSDTP etc. The indicator can show R/R - 0.5:1 1:1 1:2 1:3 1:4
Recommended timeframes for use: from 4 hours to 1 week, ideally - 1 day. However, you can experiment with other close timeframes.
Possible trading modes: spot or futures.
Some methods used in the indicator calculations:
- statistical patterns that tend to repeat in the future. Bitcoin cycles in different market phases, which also tend to repeat and are included in the indicator,
- miner capitulation and hashrate are also taken into account by the indicator,
- candle volumes and their deltas are taken into account in the calculations,
- as well as other bases, such as RSI and its divergence, EMA crossing of various configurations, etc.
**How the strategy calculates positions:**
The position is opened at the Sell signal level and fixed at the level of the thick blue line, which serves as the main target of the take profit. Pyramiding (adding to positions) can be enabled in the settings.
The size of each position is adjusted through the settings. Importantly, each signal creates its own take profit lines. When pyramiding is enabled, all positions are eventually closed at the nearest take profit level generated by any of the pyramiding signals. This approach minimizes potential losses if the price does not reach the initially set maximum take profit levels; the strategy closes positions at the nearest available take profit level. This conservative method of the strategy reduces risk, although ideally each position in the pyramid should be closed at an individual take profit level, which will lead to even better results in deep backtesting.
**Settings overview:**
- Inside the strategy: default platform settings.
- There are several filters inside the indicator:
1) allows traders to choose display modes
2) enter positions based on the market phase - up or down
3) can also choose whether to trade after manipulations and liquidations
4) can also choose whether to trade after institutional selling is detected (small, medium or large amount of selling volumes).
You can manually adjust the take profit and stop loss levels with simple method selections, making it flexible but user-friendly. The indicator offers three main styles:
- "Universal" (standard levels)
- "Aggressive"
- "Conservative"
**Results and caveats:**
Deep backtesting from the first day of Bitcoin listing on various exchanges under certain conditions (no liquidations, certain settings) showed a maximum drawdown of about 4-15%, with the final return approaching more than 7000% and a WinRate of 95-100%. However, it is important to understand that such impressive past results do not guarantee future results.
If you are serious about your investments, remember that geopolitical events, institutional shifts, or other unforeseen factors can significantly affect the price of Bitcoin or even its existence. Unfortunately, AI has not yet learned to fully take into account all macroeconomic conditions in its adaptive mechanisms.
Trade wisely and use this powerful tool responsibly.
Best wishes,
Mahnam BTC with breake outThis strategy is designed and coded specifically for trading Bitcoin in the 15-minute timeframe.
Of course, those who are skilled in coding can use it in other timeframes and currencies by changing its codes and personalizing it.
Of course, it is strongly recommended that people who want to use it first perform the necessary backtests or test this strategy on demo sites and then trade on the Tetri platform.
In this strategy, it only checks the entry and exit conditions and connects to the exchange using the API code and trades completely automatically.
This strategy determines the stop loss and take profit points on the exchange at the same time as entering the transaction and sets them.