BB LONG 2BX & FVB StrategyThis Strategy is optimized for the 2h timeframe. Happy Charting and you're welcome!
**BB LONG 2BX & FVB Strategy – Simple Text Guide**
---
### **What It Does**
A **long-only trading strategy** that:
- Enters on **strong upward momentum**
- Adds a second position when the trend gets stronger
- Takes profits in parts at **smart price levels**
- Exits fully if the trend weakens or reverses
---
### **Main Tools Used**
| Tool | Simple Meaning |
|------|----------------|
| **B-Xtrender (Oscillator)** | Measures speed of price move. Above 0 = bullish, below 0 = bearish |
| **Weekly & Monthly Timeframes** | Checks if higher timeframes agree with the trade |
| **Red ATR Line** | A moving stop-loss that follows price up |
| **Fair Value Bands (1x, 2x, 3x)** | Profit targets that adjust to market volatility |
---
### **When It Enters a Trade (Long)**
**First Entry:**
- Weekly momentum is **rising**
- Monthly momentum is **positive or increasing**
- No current position
**Second Entry (Pyramiding):**
- Already in trade
- Price breaks **above the Red ATR line** → add same size again
(Max 2 total entries)
---
### **When It Takes Profit (Scaling Out)**
| Level | Action |
|-------|--------|
| **1x Band** | Sell **50%** when price pulls back from this level |
| **2x Band** | Sell **50%** when price pulls back from this level |
| **3x Band** | **Exit everything** when price pulls back from this level |
> You can hit 1x and 2x **multiple times** – it will keep taking 50% each time
---
### **When It Exits Fully (Closes Everything)**
1. Price **closes below Red ATR line**
2. Weekly momentum shows **2 red bars in a row, both falling**
3. Weekly momentum **crosses below zero** AND price is below Red ATR
4. Weekly momentum **drops sharply** (more than 25 points in one bar)
> After full exit, it **won’t re-enter** unless price comes back below 2x band
---
### **Alerts You Get**
Every time price **touches** a profit band, you get an alert:
- “Price touched 1x band from below”
- “Price touched 1x band from above”
- Same for **2x** and **3x**
> One alert per touch, per bar
---
### **On the Chart – What You See**
- **Histogram bars (weekly momentum)**
Lime = up, Red = down
**Yellow highlight** = warning (exit soon)
- **Red broken line** = stop-loss level
- **Blue line** = fair middle price
- **Orange, Purple, Pink lines** = 1x, 2x, 3x profit targets
---
### **Best Used On**
- Daily or 4-hour charts
- Strong trending assets (like Bitcoin, Tesla, S&P 500)
---
### **Quick Rules Summary**
| Do This | When |
|--------|------|
| **Enter** | Weekly up + monthly support |
| **Add more** | Price breaks above Red line |
| **Take 50% profit** | Price pulls back from 1x or 2x |
| **Exit all** | Red line break, weak momentum, or 3x hit |
---
**Simple Idea:**
**Ride strong trends, add when confirmed, take profits in chunks, cut losses fast.**
การวิเคราะห์แนวโน้ม
Zero Lag Trend Signals (MTF) [Quant Trading] V7Overview
The Zero Lag Trend Signals (MTF) V7 is a comprehensive trend-following strategy that combines Zero Lag Exponential Moving Average (ZLEMA) with volatility-based bands to identify high-probability trade entries and exits. This strategy is designed to reduce lag inherent in traditional moving averages while incorporating dynamic risk management through ATR-based stops and multiple exit mechanisms.
This is a longer term horizon strategy that takes limited trades. It is not a high frequency trading and therefore will also have limited data and not > 100 trades.
How It Works
Core Signal Generation:
The strategy uses a Zero Lag EMA (ZLEMA) calculated by applying an EMA to price data that has been adjusted for lag:
Calculate lag period: floor((length - 1) / 2)
Apply lag correction: src + (src - src )
Calculate ZLEMA: EMA of lag-corrected price
Volatility bands are created using the highest ATR over a lookback period multiplied by a band multiplier. These bands are added to and subtracted from the ZLEMA line to create upper and lower boundaries.
Trend Detection:
The strategy maintains a trend variable that switches between bullish (1) and bearish (-1):
Long Signal: Triggers when price crosses above ZLEMA + volatility band
Short Signal: Triggers when price crosses below ZLEMA - volatility band
Optional ZLEMA Trend Confirmation:
When enabled, this filter requires ZLEMA to show directional momentum before entry:
Bullish Confirmation: ZLEMA must increase for 4 consecutive bars
Bearish Confirmation: ZLEMA must decrease for 4 consecutive bars
This additional filter helps avoid false signals in choppy or ranging markets.
Risk Management Features:
The strategy includes multiple stop-loss and take-profit mechanisms:
Volatility-Based Stops: Default stop-loss is placed at ZLEMA ± volatility band
ATR-Based Stops: Dynamic stop-loss calculated as entry price ± (ATR × multiplier)
ATR Trailing Stop: Ratcheting stop-loss that follows price but never moves against position
Risk-Reward Profit Target: Take-profit level set as a multiple of stop distance
Break-Even Stop: Moves stop to entry price after reaching specified R:R ratio
Trend-Based Exit: Closes position when price crosses EMA in opposite direction
Performance Tracking:
The strategy includes optional features for monitoring and analyzing trades:
Floating Statistics Table: Displays key metrics including win rate, GOA (Gain on Account), net P&L, and max drawdown
Trade Log Labels: Shows entry/exit prices, P&L, bars held, and exit reason for each closed trade
CSV Export Fields: Outputs trade data for external analysis
Default Strategy Settings
Commission & Slippage:
Commission: 0.1% per trade
Slippage: 3 ticks
Initial Capital: $1,000
Position Size: 100% of equity per trade
Main Calculation Parameters:
Length: 70 (range: 70-7000) - Controls ZLEMA calculation period
Band Multiplier: 1.2 - Adjusts width of volatility bands
Entry Conditions (All Disabled by Default):
Use ZLEMA Trend Confirmation: OFF - Requires ZLEMA directional momentum
Re-Enter on Long Trend: OFF - Allows multiple entries during sustained trends
Short Trades:
Allow Short Trades: OFF - Strategy is long-only by default
Performance Settings (All Disabled by Default):
Use Profit Target: OFF
Profit Target Risk-Reward Ratio: 2.0 (when enabled)
Dynamic TP/SL (All Disabled by Default):
Use ATR-Based Stop-Loss & Take-Profit: OFF
ATR Length: 14
Stop-Loss ATR Multiplier: 1.5
Profit Target ATR Multiplier: 2.5
Use ATR Trailing Stop: OFF
Trailing Stop ATR Multiplier: 1.5
Use Break-Even Stop-Loss: OFF
Move SL to Break-Even After RR: 1.5
Use Trend-Based Take Profit: OFF
EMA Exit Length: 9
Trade Data Display (All Disabled by Default):
Show Floating Stats Table: OFF
Show Trade Log Labels: OFF
Enable CSV Export: OFF
Trade Label Vertical Offset: 0.5
Backtesting Date Range:
Start Date: January 1, 2018
End Date: December 31, 2069
Important Usage Notes
Default Configuration: The strategy operates in its most basic form with default settings - using only ZLEMA crossovers with volatility bands and volatility-based stop-losses. All advanced features must be manually enabled.
Stop-Loss Priority: If multiple stop-loss methods are enabled simultaneously, the strategy will use whichever condition is hit first. ATR-based stops override volatility-based stops when enabled.
Long-Only by Default: Short trading is disabled by default. Enable "Allow Short Trades" to trade both directions.
Performance Monitoring: Enable the floating stats table and trade log labels to visualize strategy performance during backtesting.
Exit Mechanisms: The strategy can exit trades through multiple methods: stop-loss hit, take-profit reached, trend reversal, or trailing stop activation. The trade log identifies which exit method was used.
Re-Entry Logic: When "Re-Enter on Long Trend" is enabled with ZLEMA trend confirmation, the strategy can take multiple long positions during extended uptrends as long as all entry conditions remain valid.
Capital Efficiency: Default setting uses 100% of equity per trade. Adjust "default_qty_value" to manage position sizing based on risk tolerance.
Realistic Backtesting: Strategy includes commission (0.1%) and slippage (3 ticks) to provide realistic performance expectations. These values should be adjusted based on your broker and market conditions.
Recommended Use Cases
Trending Markets: Best suited for markets with clear directional moves where trend-following strategies excel
Medium to Long-Term Trading: The default length of 70 makes this strategy more appropriate for swing trading rather than scalping
Risk-Conscious Traders: Multiple stop-loss options allow traders to customize risk management to their comfort level
Backtesting & Optimization: Comprehensive performance tracking features make this strategy ideal for testing different parameter combinations
Limitations & Considerations
Like all trend-following strategies, performance may suffer in choppy or ranging markets
Default 100% position sizing means full capital exposure per trade - consider reducing for conservative risk management
Higher length values (70+) reduce signal frequency but may improve signal quality
Multiple simultaneous risk management features may create conflicting exit signals
Past performance shown in backtests does not guarantee future results
Customization Tips
For more aggressive trading:
Reduce length parameter (minimum 70)
Decrease band multiplier for tighter bands
Enable short trades
Use lower profit target R:R ratios
For more conservative trading:
Increase length parameter
Enable ZLEMA trend confirmation
Use wider ATR stop-loss multipliers
Enable break-even stop-loss
Reduce position size from 100% default
For optimal choppy market performance:
Enable ZLEMA trend confirmation
Increase band multiplier
Use tighter profit targets
Avoid re-entry on trend continuation
Visual Elements
The strategy plots several elements on the chart:
ZLEMA line (color-coded by trend direction)
Upper and lower volatility bands
Long entry markers (green triangles)
Short entry markers (red triangles, when enabled)
Stop-loss levels (when positions are open)
Take-profit levels (when enabled and positions are open)
Trailing stop lines (when enabled and positions are open)
Optional ZLEMA trend markers (triangles at highs/lows)
Optional trade log labels showing complete trade information
Exit Reason Codes (for CSV Export)
When CSV export is enabled, exit reasons are coded as:
0 = Manual/Other
1 = Trailing Stop-Loss
2 = Profit Target
3 = ATR Stop-Loss
4 = Trend Change
Conclusion
Zero Lag Trend Signals V7 provides a robust framework for trend-following with extensive customization options. The strategy balances simplicity in its core logic with sophisticated risk management features, making it suitable for both beginner and advanced traders. By reducing moving average lag while incorporating volatility-based signals, it aims to capture trends earlier while managing risk through multiple configurable exit mechanisms.
The modular design allows traders to start with basic trend-following and progressively add complexity through ZLEMA confirmation, multiple stop-loss methods, and advanced exit strategies. Comprehensive performance tracking and export capabilities make this strategy an excellent tool for systematic testing and optimization.
Note: This strategy is provided for educational and backtesting purposes. All trading involves risk. Past performance does not guarantee future results. Always test thoroughly with paper trading before risking real capital, and adjust position sizing and risk parameters according to your risk tolerance and account size.
================================================================================
TAGS:
================================================================================
trend following, ZLEMA, zero lag, volatility bands, ATR stops, risk management, swing trading, momentum, trend confirmation, backtesting
================================================================================
CATEGORY:
================================================================================
Strategies
================================================================================
CHART SETUP RECOMMENDATIONS:
================================================================================
For optimal visualization when publishing:
Use a clean chart with no other indicators overlaid
Select a timeframe that shows multiple trade signals (4H or Daily recommended)
Choose a trending asset (crypto, forex major pairs, or trending stocks work well)
Show at least 6-12 months of data to demonstrate strategy across different market conditions
Enable the floating stats table to display key performance metrics
Ensure all indicator lines (ZLEMA, bands, stops) are clearly visible
Use the default chart type (candlesticks) - avoid Heikin Ashi, Renko, etc.
Make sure symbol information and timeframe are clearly visible
================================================================================
COMPLIANCE NOTES:
================================================================================
✅ Open-source publication with complete code visibility
✅ English-only title and description
✅ Detailed explanation of methodology and calculations
✅ Realistic commission (0.1%) and slippage (3 ticks) included
✅ All default parameters clearly documented
✅ Performance limitations and risks disclosed
✅ No unrealistic claims about performance
✅ No guaranteed results promised
✅ Appropriate for public library (original trend-following implementation with ZLEMA)
✅ Educational disclaimers included
✅ All features explained in detail
================================================================================
FluxVector Liquidity Universal Trendline FluxVector Liquidity Trendline FFTL
Summary in one paragraph
FFTL is a single adaptive trendline for stocks ETFs FX crypto and indices on one minute to daily. It fires only when price action pressure and volatility curvature align. It is original because it fuses a directional liquidity pulse from candle geometry and normalized volume with realized volatility curvature and an impact efficiency term to modulate a Kalman like state without ATR VWAP or moving averages. Add it to a clean chart and use the colored line plus alerts. Shapes can move while a bar is open and settle on close. For conservative alerts select on bar close.
Scope and intent
• Markets. Major FX pairs index futures large cap equities liquid crypto top ETFs
• Timeframes. One minute to daily
• Default demo used in the publication. SPY on 30min
• Purpose. Reduce false flips and chop by gating the line reaction to noise and by using a one bar projection
• Limits. This is a strategy. Orders are simulated on standard candles only
Originality and usefulness
• Unique fusion. Directional Liquidity Pulse plus Volatility Curvature plus Impact Efficiency drives an adaptive gain for a one dimensional state
• Failure mode addressed. One or two shock candles that break ordinary trendlines and saw chop in flat regimes
• Testability. All windows and gains are inputs
• Portable yardstick. Returns use natural log units and range is bar high minus low
• Protected scripts. Not used. Method disclosed plainly here
Method overview in plain language
Base measures
• Return basis. Natural log of close over prior close. Average absolute return over a window is a unit of motion
Components
• Directional Liquidity Pulse DLP. Measures signed participation from body and wick imbalance scaled by normalized volume and variance stabilized
• Volatility Curvature. Second difference of realized volatility from returns highlights expansion or compression
• Impact Efficiency. Price change per unit range and volume boosts gain during efficient moves
• Energy score. Z scores of the above form a single energy that controls the state gain
• One bar projection. Current slope extended by one bar for anticipatory checks
Fusion rule
Weighted sum inside the energy score then logistic mapping to a gain between k min and k max. The state updates toward price plus a small flow push.
Signal rule
• Long suggestion and order when close is below trend and the one bar projection is above the trend
• Short suggestion and flip when close is above trend and the one bar projection is below the trend
• WAIT is implicit when neither condition holds
• In position states end on the opposite condition
What you will see on the chart
• Colored trendline teal for rising red for falling gray for flat
• Optional projection line one bar ahead
• Optional background can be enabled in code
• Alerts on price cross and on slope flips
Inputs with guidance
Setup
• Price source. Close by default
Logic
• Flow window. Typical range 20 to 80. Higher smooths the pulse and reduces flips
• Vol window. Typical range 30 to 120. Higher calms curvature
• Energy window. Typical range 20 to 80. Higher slows regime changes
• Min gain and Max gain. Raise max to react faster. Raise min to keep momentum in chop
UI
• Show 1 bar projection. Colors for up down flat
Properties visible in this publication
• Initial capital 25000
• Base currency USD
• Commission percent 0.03
• Slippage 5
• Default order size method percent of equity value 3%
• Pyramiding 0
• Process orders on close off
• Calc on every tick off
• Recalculate after order is filled off
Realism and responsible publication
• No performance claims
• Intrabar reminder. Shapes can move while a bar forms and settle on close
• Strategy uses standard candles only
Honest limitations and failure modes
• Sudden gaps and thin liquidity can still produce fast flips
• Very quiet regimes reduce contrast. Use larger windows and lower max gain
• Session time uses the exchange time of the chart if you enable any windows later
• Past results never guarantee future outcomes
Open source reuse and credits
• None
Entry / exit zones (only long positions)Great and simple helping tool to find good entry/exit point for mid/long term trading on stocks especially but also indexes and other..... Good on daily timeframe, but better with weekly and monthly. Based on Hull average slope. Hold the average period value among 30 and 50 or more. I prefer the version WITHOUT stop loss and other exit rules (optional).
All the best and good trading!
SB
BankNifty Etharia Aggresive Buyer / SellerOverview
Professional intraday trading strategy for BankNifty Futures that identifies high-probability setups by combining multiple technical indicators. Works in BOTH directions - LONG and SHORT.
Best Timeframe: 5-Minute Chart
Key Features:
✅ Multi-Confluence Entry System - All indicators must align for signal
✅ Bidirectional Trading - Captures both uptrends and downtrends
✅ Advanced Risk Management - Daily loss limits, consecutive loss protection
✅ Smart Exit System - Partial profit taking + trailing stops
✅ Session-Based Trading - Avoids opening and closing volatility
Entry Logic:
LONG Signals:
Price above Kernel Regression (trend confirmation)
Price above VWAP with positive slope (momentum)
Cumulative Volume Delta bullish (buying pressure)
Volume spike or increasing volume (strength confirmation)
Strong bullish candle with 60%+ body ratio
RSI filter to avoid overbought entries
SHORT Signals:
Price below Kernel Regression (downtrend confirmation)
Price below VWAP with negative slope (bearish momentum)
CVD bearish (selling pressure dominates)
High volume confirmation
Strong bearish candle pattern
RSI filter to avoid oversold entries
Exit Management:
🎯 Target 1: 1.5 R:R (50% position exit)
🎯 Target 2: 2.5 R:R (full exit)
🛡️ Stop Loss Options: ATR-based, Swing-based, or Fixed
🟡 Trailing Stop: Activates after 1.2 R:R, trails at 0.8 R:R
⏰ Time-Based Exit: Closes all positions 5 mins before session end
Risk Controls:
Maximum trades per day (default: 5)
Consecutive loss limit (default: 2)
Daily loss limit: 2.5% of capital
Daily profit target: 5% (stops trading when reached)
Position sizing based on account risk percentage
Recommended Settings:
Asset: BankNifty Futures (NSE:BANKNIFTY1!)
Timeframe: 5-minute
Initial Capital: ₹1,00,000
Risk per trade: 1%
Commission: 0.05%
Slippage: 5 points
Performance Expectations:
Win Rate: 55-65%
Profit Factor: 1.5-2.0
Average Trades/Day: 3-8
Risk:Reward: 1:1.8 average
Customizable Parameters:
Trading direction (Long Only / Short Only / Both)
Indicator lengths and thresholds
Stop loss type and targets
Risk management limits
Trading session hours
Best For:
Intraday traders seeking systematic, rule-based entries with strong confluence, proper risk management, and the ability to profit from both bullish and bearish market conditions.
SB LONG ENTRY/EXITBASED on HULL slope average. ISN'T IT VERY ROBUST?
Very good for daily, weekly and monthly timeframes. Stocks especially.....
I prefer it without optonal stop loss on other position protection stops.
Wonderful both equal weight position or with a D'alembert style weighting of positions....
Hold the Hull period parameter between 30 and 60 or more, but it's not so sensitive to this optimization.
All the best,
Sandro Bisotti
AIBTC Automated Trading Strategy🧠 AIBTC Automated Trading Strategy
Overview:
The AIBTC Automated Trading Strategy is a fully autonomous system designed for 4-hour timeframes (4H). It dynamically identifies support and resistance levels based on price action, and automatically executes trades when valid breakouts occur above resistance or below support. The system adapts in real time to changing market volatility, ensuring stable performance across different market conditions.
⚙️ Strategy Logic
Dynamic Support & Resistance Detection
The strategy uses an adaptive Pivot Point algorithm that adjusts parameters according to market volatility (ATR) and price deviation (Standard Deviation).
When volatility increases, the algorithm automatically widens its detection range and recalibrates channel width for better accuracy.
All support and resistance levels are detected dynamically — no manual configuration is required.
Trend & Volatility Filtering
The system applies ADX (Average Directional Index) to measure trend strength.
When ADX > 25, only strong levels are considered valid to avoid noise during weak trends.
ATR-based volatility adjustments automatically optimize lookback periods and detection sensitivity.
Breakout Signal Detection
A long position is triggered when price breaks above resistance with a valid breakout margin (default filter: 0.1%).
A short position is triggered when price breaks below support with the same breakout filter applied.
This breakout filter effectively minimizes false breakouts and improves signal quality.
Fully Automated Execution
The system is designed for both backtesting and live simulation.
All buy/sell entries are executed automatically without manual input once conditions are met.
🕒 Recommended Timeframe
4-hour (4H) candles
Suitable for short-to-medium term swing trading, balancing signal precision and trade frequency.
📊 Key Features
✅ Fully Automated — Executes long/short positions on valid breakouts
✅ Adaptive Parameters — Automatically adjusts to changing volatility
✅ Trend-Aware Filtering — Uses ADX to avoid false signals in ranging markets
✅ Multi-Asset Compatibility — Works on BTC, ETH, or any high-liquidity instrument
⚠️ Disclaimer
This strategy is a technical and algorithmic tool, not financial advice.
Always backtest and simulate before using it on live markets.
During periods of extreme volatility, signals may delay or show false breakouts — consider using stop-loss mechanisms accordingly.
One For All Strategy by Anson🏆 Exclusive Indicator: One For All Strategy
.
📈 Works for stocks, forex, crypto, indices
📈 Easy to use, real-time alerts, no repaint
📈 No grid, no martingale, no hedging
📈 One position at a time
.
One For All Strategy by Anson
A multi-indicator TradingView strategy designed to identify long and short trading opportunities by combining trend-following and momentum signals, paired with risk management rules to guide entries and exits.
.
Core Logic & Key Indicator:
X Moving Average: A proprietary adaptive moving average that adjusts its responsiveness to price changes based on market volatility. It uses an efficiency ratio to modify its smoothing behavior—adapting to whether the market is trending or ranging. Users can toggle a setting to let this ratio dynamically adjust the indicator’s sensitivity or use a fixed smoothing factor.
.
Entry Conditions:
.
Long Entry: Triggered when momentum signals strength, price action aligns with a broader upward trend, the X MA indicates short-term upward momentum, and a minimum number of bars have passed since the last trade (to prevent overtrading).
.
Short Entry: Triggered when momentum signals weakness, price action aligns with a broader downward trend, the X MA indicates short-term downward momentum, and a minimum number of bars have passed since the last trade.
.
Exit Conditions:
.
Trailing Stop: Activates after a position has been open for a set number of bars (to avoid premature exits). A trailing stop—based on a percentage of the entry price—locks in profits as the trade moves favorably, adjusting dynamically to protect gains.
.
Additional Features:
Visualisation: Overlays the X MA (orange line) and price (semi-transparent blue) on the chart for clear signal tracking.
.
See the author's instructions on the right to learn how to get access to the strategy.
EMA 9/50 News Confirmation Strategy v3 (Trend Aligned 3 bMin) “EMA 9/50 crossover strategy with trend filter and ATR-based targets”)
Hull Suite Strategy with Time FilterThis script is a Hull Moving Average–based trend system designed to visualize market direction and filter signals during specific trading hours.
It features:
Dual HMA bands for smoother trend detection
Color changes based on slope to highlight momentum
Optional time filter for signal control within session hours
Compact buy/sell signal markers
You can adjust HMA lengths, time filters, and visual options from the settings panel.
This script is intended for educational and analytical purposes only — not financial advice.
SuperBulls - Trend Tracker StrategyA clean, reliable trend-following strategy built under the SuperBulls Universe.
Key Highlights:
Captures major trend shifts with precision
Uses adaptive moving averages for smooth market structure tracking
Auto-generates buy and sell signals for clear execution
Supports both intraday and swing trading styles
Designed for simplicity, consistency, and visual clarity
Stay aligned with the market trend and Trade smart.
Trade with confidence with SuperBulls.
The Beginning MasterThe Beginning Master
Description:
The Beginning Master is a structured micro-futures scalping strategy engineered for small accounts, particularly those trading micro futures such as M2K (Micro Russell 2000), MNQ (Micro Nasdaq), or MES (Micro E-mini S&P 500).
It combines multiple layers of trend, momentum, and volatility logic to identify short-term directional opportunities while maintaining strict capital protection.
The system evaluates:
Trend bias using a dual-moving-average framework that reacts to shifts in short-term momentum.
Momentum strength and confirmation through adaptive readings of directional movement and relative-strength behavior to avoid low-energy markets.
Volatility awareness, adjusting stops and targets based on real-time range analysis so each trade risks only a small, consistent fraction of equity.
Session filters, restricting activity to high-liquidity U.S. hours for more stable fills.
Capital management tools, including a daily loss limit and a unique “profit floor” safeguard that locks gains once a target profit is reached, preventing drawdown from giving back realized profit.
The strategy is optimized for:
Micro-futures traders starting with modest capital (~$100)
Any micro futures instrument (M2K, MNQ, MES, etc.)
Fast execution via automated trade platforms (e.g., TradersPost)
Consistent, repeatable setups rather than prediction
Default settings:
Initial capital: $100
Daily loss cap: $15
Profit-floor protection: $25
Position size: 1 contract
Realistic commission and tick size from exchange data
⚠️ Disclaimer:
This publication is for educational and research purposes only.
It is not financial advice or a solicitation to trade.
Performance results are hypothetical and do not guarantee future returns.
Cybertrading-Insidebar hunter pro robotThe Cybertrading-Inside Pro strategy is an advanced version of Cyber-Inside.
It automates ATR-based inside-bar trading with optional pullback entries, full risk/reward visualization, time filtering, pending-order handling, and fixed chart watermark branding (“CollegePips / CyberTrading”).
⚙️ Technical Overview
1. Core Structure
Uses ATR(14) to measure volatility and classify candle ranges.
Candles are labeled as Spinning, Standard, Long, or Huge based on their range vs. ATR.
Only valid candles (Standard or Long) qualify to confirm a setup.
2. Inside-Bar Logic
The setup requires the current candle’s high/low to be fully contained inside the previous candle (an inside bar).
A wick-break must occur — the wick slightly breaks the previous inside bar’s range while the body remains inside.
This pattern forms a Pierce-Only signal.
Direction:
Wick down → potential Long entry
Wick up → potential Short entry
3. Timing and Entry Conditions
With the time filter enabled, trades trigger only between defined hours (e.g., 07–22).
If Enable Pullback is on, the entry is placed using a limit order offset by pullbackATR × ATR from the signal candle.
If the pullback entry isn’t triggered within pullbackMaxBars, the pending order is canceled automatically.
You can also enable display-only entries without execution (Enable Entry Without Pullback).
4. Risk & Target Management
Stop loss is placed beyond the second-previous candle’s high/low ± stopBuffer × ATR.
Take-profit is based on the chosen risk/reward multiple (RR) or the previous candle’s high/low.
Position size auto-adjusts to keep total risk equal to riskPercent of equity.
5. Visual Components
Dynamic chart objects include:
Red box: risk zone (entry → stop)
Green/blue box: reward zone (entry → target)
Dotted diagonal line: risk-to-reward path
Arrows: actual fill points
6. Order Management System
Each signal creates a unique order ID (pendingId) and exit ID (planExitId).
On a valid fill (newLong / newShort), real stop, target, and position size are applied.
If an order isn’t filled within the timeout window, it’s canceled and reset automatically.
7. Advantages
✅ Smart inside-bar pattern recognition
✅ Automated risk control and dynamic sizing
✅ Clear visual feedback for analysis
✅ Fully backtest-ready for research or education
CyberTrading-Inside Hunt RobotThis Pine Script strategy, titled "Cyber-Inside", is a fully automated entry and risk management system built around inside bar pierce patterns and ATR-based dynamic stops/targets. It identifies specific candle formations, calculates position sizing based on risk percentage, and visually displays risk/reward zones and trade labels on the chart.
Detailed Explanation
1. Core Logic
The script searches for inside bars — candles whose high and low are contained within the previous bar — that appear after a valid “normal” or “long” range candle.
Then it waits for a wick pierce (a candle that breaks the previous inside bar's range slightly but closes inside).
That wick pierce acts as a potential reversal or continuation signal:
wickDown → possible long entry
wickUp → possible short entry
2. ATR-based Classification
Each candle is compared to the ATR(24):
Spinning (small) → below 0.8 × ATR
Standard → between 0.8× and 1.2× ATR
Long → between 1.2× and 2.5× ATR
Huge → above 2.5× ATR
Only certain candle types (standard or long) in the previous bars qualify for pattern validation.
3. Entry Conditions
A trade signal occurs when:
The current bar forms a wick pierce of a prior inside bar pattern.
No active position exists (strategy.position_size == 0).
Then:
For longs, entry at close, stop at previous low minus ATR buffer.
For shorts, entry at close, stop at previous high plus ATR buffer.
4. Risk Management
The stop distance defines the risk per trade, and the position size is adjusted dynamically so that only the chosen riskPercent (e.g., 1%) of equity is at risk.
If useRR is enabled, a take-profit target is placed using the defined risk/reward multiple (rr, e.g. 1:3).
If disabled, the target defaults to the previous candle’s high or low.
5. Visualization
The strategy visually marks:
Entry points (triangles)
Red box = risk zone (entry → stop)
Green box = reward zone (entry → target)
Optional diagonal and horizontal lines for clarity
Labels updated after trade closes with PnL values (profit or loss)
6. Application
This system helps traders:
Automate inside-bar breakout or reversal entries
Maintain strict risk-based position sizing
Visually assess trade zones and risk/reward areas
Backtest and evaluate performance consistency on various timeframes and assets
Heiken Ashi BasProfessional Heiken Ashi + Ichimoku Baseline Scalping Strategy
Strategy Overview:
This advanced scalping methodology combines the smoothing power of Heiken Ashi candles with the reliable support/resistance levels of Ichimoku's Kijun-sen baseline. Designed for active traders seeking precise entry points in trending markets, the strategy incorporates multiple confirmation filters to enhance signal reliability.
Key Features:
• Dual Confirmation System : Heiken Ashi trend alignment with Ichimoku baseline crossover
• Smart Risk Management : Dynamic ATR-based take profit and stop loss across multiple timeframes
• Trend Filter Integration : Optional 200 EMA filter to align with broader market direction
• Divergence Detection : Real-time Ichimoku baseline momentum analysis
• Visual Trading Signals : Clear buy/sell markers with TP/SL level displays
Technical Components:
- Heiken Ashi Smoothing : Reduces market noise for cleaner trend identification
- Ichimoku Baseline (Kijun-sen) : Acts as dynamic support/resistance level
- Multi-timeframe ATR : Adaptive position sizing based on market volatility
- Momentum Confirmation : Baseline divergence filtering for enhanced timing
Ideal For:
- Forex and cryptocurrency markets
- 1-5 minute timeframes for scalping
- Trending market conditions
- Risk-aware traders seeking systematic approaches
Customization Options:
- Adjustable TP/SL multipliers based on risk tolerance
- Optional trend and divergence filters
- Flexible timeframe settings for different trading styles
- Visual display preferences for chart clarity
Educational Value:
This script demonstrates professional-grade techniques in:
- Multi-indicator convergence strategies
- Dynamic risk management implementation
- Real-time market structure analysis
- Systematic trade execution methodolog
DayFlow VWAP Relay Forex Majors StrategySummary in one paragraph
DayFlow VWAP Relay is a day-trading strategy for major FX pairs on intraday timeframes, demonstrated on EURUSD 15 minutes. It waits for alignment between a daily anchored VWAP regime check, residual percentiles, and lower-timeframe micro flow before suggesting trades. The originality is the fusion of daily VWAP residual percentiles with a live micro-flow score from 1 minute data to switch between fade and breakout behavior inside the same session. Add it to a clean chart and use the markers and alerts.
Scope and intent
• Markets: Major FX pairs such as EURUSD, GBPUSD, USDJPY, AUDUSD, USDCHF, USDCAD
• Timeframes: One minute to one hour
• Default demo in this publication: EURUSD on 15 minutes
• Purpose: Reduce false starts by acting only when context, location and micro flow agree
• Limits: This is a strategy. Orders are simulated on standard candles only
Originality and usefulness
• Core novelty: Residual percentiles to daily anchored VWAP decide “balanced versus expanding day”. A separate 1 minute micro-flow score confirms direction, so the same model fades extremes in balance and rides range breaks in expansion
• Failure modes addressed: Chop fakeouts and unconfirmed breakouts are filtered by the expansion gate and micro-flow threshold
• Testability: Every input is exposed. Bands, background regime color, and markers show why a suggestion appears
• Portable yardstick: Stops and targets are ATR multiples converted to ticks, which transfer across symbols
• Open source status: No reused third-party code that requires attribution
Method overview in plain language
The day is anchored with a VWAP that updates from the daily session start. Price minus VWAP is the residual. Percentiles of that residual measured over a rolling window define location extremes for the current day. A regime score compares residual volatility to price volatility. When expansion is low, the day is treated as balanced and the model fades residual extremes if 1 minute micro flow points back to VWAP. When expansion is high, the model trades breakouts outside the VWAP bands if slope and micro flow agree with the move.
Base measures
• Range basis: True Range smoothed by ATR for stops and targets, length 14
• Return basis: Not required for signals; residuals are absolute price distance to VWAP
Components
• Daily Anchor VWAP Bands. VWAP with standard-deviation bands. Slope sign is used for trend confirmation on breakouts
• Residual Percentiles. Rolling percentiles of close minus VWAP over Signal length. Identify location extremes inside the day
• Expansion Ratio. Standard deviation of residuals divided by standard deviation of price over Signal length. Classifies balanced versus expanding day
• Micro Flow. Net up minus down closes from 1 minute data across a short span, normalized to −1..+1. Confirms direction and avoids fades against pressure
• Session Window optional. Restricts trading to your configured hours to avoid thin periods
• Cooldown optional. Bars to wait after a position closes to prevent immediate re-entry
Fusion rule
Gating rather than weighting. First choose regime by Expansion Ratio versus the Expansion gate. Inside each regime all listed conditions must be true: location test plus micro-flow threshold plus session window plus cooldown. Breakouts also require VWAP slope alignment.
Signal rule
• Long suggestion on balanced day: residual at or below the lower percentile and micro flow positive above the gate while inside session and cooldown is satisfied
• Short suggestion on balanced day: residual at or above the upper percentile and micro flow negative below the gate while inside session and cooldown is satisfied
• Long suggestion on expanding day: close above the upper VWAP band, VWAP slope positive, micro flow positive, session and cooldown satisfied
• Short suggestion on expanding day: close below the lower VWAP band, VWAP slope negative, micro flow negative, session and cooldown satisfied
• Positions flip on opposite suggestions or exit by brackets
What you will see on the chart
• Markers on suggestion bars: L for long, S for short
• Exit occurs on reverse signal or when a bracket order is filled
• Reference lines: daily anchored VWAP with upper and lower bands
• Optional background: teal for balanced day, orange for expanding day
Inputs with guidance
Setup
• Signal length. Residual and regime window. Typical 40 to 100. Higher smooths, lower reacts faster
Micro Flow
• Micro TF. Lower timeframe used for micro flow, default 1 minute
• Micro span bars. Count of lower-TF bars. Typical 5 to 20
• Micro flow gate 0..1. Minimum absolute flow. Raising it demands stronger confirmation and reduces trade count
VWAP Bands
• VWAP stdev multiplier. Band width. Typical 0.8 to 1.6. Wider bands reduce breakout frequency and increase fade distance
• Expansion gate 0..3. Threshold to switch from fades to breakouts. Raising it favors fades, lowering it favors breakouts
Sessions
• Use session filter. Enable to trade only inside your window
• Trade window UTC. Default 07:00 to 17:00
Risk
• ATR length. Stop and target basis. Typical 10 to 21
• Stop ATR x. Initial stop distance in ATR multiples
• Target ATR x. Profit target distance in ATR multiples
• Cooldown bars after close. Wait bars before a new entry
• Side. Both, long only, or short only
View
• Show VWAP and bands
• Color bars by residual regime
Properties visible in this publication
• Initial capital 10000
• Base currency Default
• request.security uses lookahead off everywhere
• Strategy: Percent of equity with value 3. Pyramiding 0. Commission cash per order 0.0001 USD. Slippage 3 ticks. Process orders on close ON. Bar magnifier ON. Recalculate after order is filled OFF. Calc on every tick OFF. Using standard OHLC fills ON.
Realism and responsible publication
No performance claims. Past results never guarantee future outcomes. Fills and slippage vary by venue. Shapes can move while a bar forms and settle on close. Strategies must run on standard candles for signals and orders.
Honest limitations and failure modes
High impact news, session opens, and thin liquidity can invalidate assumptions. Very quiet days can reduce contrast between residuals and price volatility. Session windows use the chart exchange time. If both stop and target are touched within a single bar, TradingView’s standard OHLC price-movement model decides the outcome.
Expect different behavior on illiquid pairs or during holidays. The model is sensitive to session definitions and feed time. Past results never guarantee future outcomes.
Legal
Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs.
Mario vr SIT MC Utilizar en el gráfico
4
1
55
🧠 Market Structure Pro System – MVR
Market Structure Pro System – MVR is an advanced trading strategy designed to detect key reversal and trend-break zones with high precision.
It combines multiple professional tools within a single algorithm — integrating market structure, dynamic channels, volatility filters, and trend confirmations — making it ideal for scalping and swing trading across different markets (Forex, indices, cryptocurrencies, or stocks).
⚙️ How it works
The algorithm performs a complete structural analysis of the market through several technical layers:
🔹 1. Price Structure (BOS, Supply & Demand)
The system automatically detects:
Order Blocks
Supply and Demand Zones
Break of Structure (BOS) to identify market structure shifts
This allows traders to recognize where price is likely to react or break a trend, anticipating major market movements.
🔹 2. Keltner Channels and Linear Regression
The strategy uses multiple Keltner Channels with different settings to measure volatility expansion and contraction.
In combination, a dynamic linear regression line shows the overall market direction, helping confirm whether price is trending or ranging.
🔹 3. Volatility and Trend Filters
It integrates several complementary systems:
ATR (Average True Range): measures the strength and volatility of price movement.
PSAR (Parabolic SAR): identifies potential trend reversals.
Supertrend: acts as the main trend filter and confirmation tool.
These filters work together to avoid false signals in ranging or low-volatility conditions.
🔹 4. Swing Highs / Lows and Dynamic Lines
The indicator also marks swing high and low points, helping visualize dynamic support and resistance levels and potential price reversal areas.
📈 Signal Interpretation
BUY signals:
Occur when price breaks a demand zone or bearish structure, while trend filters (Supertrend / PSAR) confirm bullish direction.
SELL signals:
Trigger when price breaks a supply zone or bullish structure, with bearish confirmation from the trend filters.
These conditions can be further validated by visual confirmations from the Keltner Channel or a color change in the linear regression.
Script protegido
Este script se publica como código cerrado. Sin embargo, puede utilizarlo libremente y sin limitaciones: obtenga más información aquí.
mariovr_usd
Exención de responsabilidad
La información y las publicaciones que ofrecemos, no implican ni constituyen un asesoramiento financiero, ni de inversión, trading o cualquier otro tipo de consejo o recomendación emitida o respaldada por TradingView. Puede obtener información adicional en las Condiciones de uso.
1 comentario
CBC Flip StrategyThe CBC Flip Strategy is a momentum-based trading system that identifies shifts in market control by monitoring price closes relative to previous bars' highs and lows: it flips to bullish mode when the close exceeds the prior high (indicating bulls in control) and enters a long position, or to bearish mode when the close falls below the prior low (indicating bears in control) and enters a short position, all while incorporating optional confluences like higher timeframe CBC alignment, RSI thresholds (above 50 + offset for longs, below 50 - offset for shorts), and EMA positioning (above for longs, below for shorts) to filter entries; trades are restricted to a user-defined session window and direction preferences, with exits handled via tick-based TP/SL, reversal on chart or higher timeframe CBC flips, and an optional flatten at a specified time to close all positions.
Number of Contracts: Adjust the quantity of contracts per trade (default: 1).
SL and TP Ticks: Set stop-loss (default: 12 ticks) and take-profit (default: 24 ticks) distances from entry.
Exit Strategy: Choose from TP/SL in ticks, exit on chart CBC flip (reverses on opposite signal), or exit on higher timeframe CBC flip.
Flatten All: Enable/disable flattening all positions at a customizable time (default: 16:00, with adjustable hour/minute).
Trading Session: Define the time window for allowing entries (default: 0800-1700).
Trade Direction: Select "Both" (longs and shorts), "Only Long", "Only Short", or "Towards Daily Open" (longs if below daily open, shorts if above).
Higher Timeframe CBC Confluence: Toggle use of HTF CBC alignment (default: enabled, with customizable HTF like "240").
RSI Confluence: Toggle RSI filter (default: enabled, with adjustable length=14, offset=20 for thresholds).
EMA Confluence: Toggle EMA filter (default: enabled, with adjustable length=200 for position relative to price).
Vigor Micro-Trend Strategy)STRATEGY NAME: VIGOR MICRO-TREND STRATEGY (LONG ONLY)
This is a compliant description for a Closed-Source Subscription Strategy.
---
1. STRATEGY OVERVIEW AND CORE LOGIC
The Vigor Micro-Trend Strategy is an advanced, high-frequency, LONG ONLY system for short-term trends. It uses a two-tiered MA structure and dynamic risk. Configured for MAX FREQUENCY (most filters minimized).
PRIMARY ENTRY CONFLUENCE (LONG Only):
* Scalping Signal: Bullish cross of a Fast MA (13) over a Slow MA (34). User choice between standard EMA or the low-lag Kaufman Adaptive Moving Average (KAMA).
* GDC Trend Filter: EMA 50 must be above a hidden EMA 200 (bullish environment). Also enters on GDC Retests off the EMA 50.
* Session Filter: Trading limited to active hours (default UTC 12:00 to 20:00).
---
2. DYNAMIC RISK AND EXIT MANAGEMENT
* Dynamic Contract Sizing: Calculates contract size to limit loss on the initial SL to a fixed Max Risk per Trade (default $10.00$ USD), based on current ATR.
* Initial Stop Loss (SL): Tight SL based on 14-period ATR (default factor 0.5).
* Split Exits & Trailing: 50% exits at a 1R profit target; 50% managed by an ATR-based Trailing Stop Loss (TSL).
* Breakeven (BE) Lock: A BE stop is initiated once the trade is 2 ticks in profit.
* Max Bars Exit: Trades are closed if they exceed 20 bars in duration (strict scalping).
* Daily Profit Floor Protection: If closed profit reaches the $110 Profit Floor, the script will automatically exit any open trade if total P&L drops below $110 to protect gains. Trading stops if the $500 Max Daily Loss is reached.
---
3. BACKTESTING & MANDATORY DISCLOSURES
* Required Configuration: Commissions and slippage MUST be configured by the user in the Strategy Properties window.
* Trade Sample Size: The strategy must generate over 100 trades for statistically reliable results.
MANDATORY DISCLAIMER: Past performance is not necessarily indicative of future results. Trading involves substantial risk of loss. All claims of historical performance are substantiated by the backtesting results on the chart, but these results do not guarantee actual trading outcomes.
Ascent Scalper - BULLISH ONLYStrategy Name: Ascent Scalper - BULLISH ONLY
This is a compliant description for a Closed-Source Subscription Strategy.
1. Overview and Core Logic
The Ascent Scalper is a sophisticated, trend-following strategy designed exclusively for long (bullish) scalping on low-timeframe charts. It uses a multi-indicator confluence model based on standard candlestick data to identify and capitalize on strong bullish momentum during active trading hours.
The long entry rule requires the simultaneous alignment of the following four conditions:
A. Trend Confirmation (Standard Close EMAs): The core trend is confirmed by the 8-period Fast EMA crossing and remaining above the 21-period Slow EMA, using the standard bar closing price.
B. Momentum Strength (ADX/RSI): Directional movement must be validated by the 14-period ADX exceeding a threshold (default 18), alongside the 14-period RSI being above a threshold (default 45), confirming strong momentum.
C. Volume Validation: A dynamic filter requires the current bar's volume to be greater than the 20-period Volume MA (default 1.0x) to ensure high market conviction at the time of entry.
D. Session Filter: Entries are restricted to a defined trading window (default UTC 12:00 to 20:00) to capture maximum market liquidity.
2. Trade Management and Realistic Risk
This strategy employs a dynamic, partial-exit risk management plan based on the Average True Range (ATR).
Initial Stop Loss (SL): The initial SL is tight and calculated based on the 14-period ATR multiplied by an adjustable factor (default 0.7).
Split Exits (P&L Management): The position is split into two halves upon entry:
A. $50\%$ Position (TP1): Exited at a 1R profit target, where 1R is equal to the initial ATR-based SL value.
B $50\%$ Position (Run): Managed by a Trailing Stop Loss (TSL), with trail points also calculated dynamically using the current ATR (default multiplier 1.2x).
Breakeven (BE) Lock: The optional Breakeven feature (default: ON) places a Breakeven stop (entry price plus 1 tick) once the position is 2 ticks in profit, locking in capital protection rapidly.
Daily Risk Controls: The strategy includes an optional (default: OFF) Max Daily Loss control (default $1,000), which stops trading for the day if the cumulative closed P&L exceeds the loss cap.
3. Backtesting Results & Mandatory Disclosures
The default settings are configured for high-liquidity markets. Users must comply with the following:
A. Risk Per Trade: The ATR-based SL system ensures the risk per trade is highly variable but generally kept below $5\%$ of a reasonable account size.
B. Commissions/Slippage: Commissions and slippage MUST be configured by the user in the Strategy Properties window to ensure backtest results accurately reflect real-world execution costs.
C. Trade Sample Size: The strategy must be run on a dataset that generates over 100 trades for statistically valid results.
MANDATORY DISCLAIMER: Past performance is not necessarily indicative of future results. Trading involves substantial risk of loss. All claims of historical performance are substantiated by the backtesting results on the chart, but these results do not guarantee actual trading outcomes.
Venza Rocket ScalperVenza Rocket Scalper: Compliant Description (Plaintext)
This strategy is a complex, multi-indicator trend-following system designed for intraday scalping on low-timeframe charts. It uses a confluence of four distinct filters to ensure high-conviction entries during optimal momentum and volume.
1. Overview and Core Logic
The entry signal requires simultaneous confirmation from the following components:
Trend Confirmation (Heikin-Ashi EMAs): The primary trend is established using Heikin-Ashi price action combined with an EMA (Fast=8) crossing and remaining above an EMA (Slow=21). This provides a smoother, momentum-based trend signal.
Momentum Strength (ADX/RSI): The trend must be validated by the ADX (default 16) to confirm sufficient directional strength, and the RSI (default 42) to confirm continued positive internal momentum.
Volume Validation: A dynamic filter requires the current bar's volume to be greater than the 20-period Volume MA (multiplied by the default 1.0 factor), ensuring trades are executed during periods of active market participation.
Session & Volatility Filter: Trades are restricted to a defined trading window (default UTC 12:00 to 20:00). The script also includes an optional Volatility Cap filter based on a long-term ATR to suppress entries during extreme volatility.
2. Trade Management and Realistic Risk
This strategy employs a robust, partial-exit risk management plan driven by the Average True Range (ATR) for sustainable risk control.
Initial Stop Loss (SL): The initial SL is tight and calculated dynamically using the 14-period ATR multiplied by an adjustable factor (default 0.7). This size is designed for micro-losses appropriate for scalping and is adapted slightly during high volatility.
Partial Exits & Profit Taking: The position is split into two equal halves for exit management:
50% Position (TP1): Exited at a 1R profit target, where 1R is defined as the exact value of the initial ATR-based SL.
50% Position (Run): Managed by a Trailing Stop Loss (TSL), with trail points also calculated dynamically using the current ATR.
Breakeven (BE) Lock: An optional feature (default: ON) automatically moves the stop loss to Breakeven (entry price plus 1 tick) once the position is 2 ticks in profit, locking in capital protection rapidly.
Daily Risk Controls: The strategy includes mandatory daily money management features (default: ON):
Max Daily Loss Stop: Stops all trading for the day if the cumulative closed P&L reaches -$500 (default).
Profit Protection Floor: If the closed P&L reaches a minimum threshold (default $110), any open position will be closed if the total daily P&L drops back below this floor, locking in minimum daily gains.
3. Strategy Properties & Backtesting Disclosure
The default settings are configured for high-liquidity futures or FX markets. Users must ensure their backtesting environment is realistic:
Risk Per Trade: The ATR-based SL aims to keep the risk per trade below 5% of a reasonable account size, which is critical for sustainable trading.
Contracts/Size: Default quantity is 3 contracts.
Commissions/Slippage: Commissions and slippage MUST be configured by the user in the Strategy Properties window to reflect real-world brokerage fees and execution costs.
Sample Size: The strategy should be run on a dataset that generates over 100 trades for statistically valid results.
MANDATORY DISCLAIMER: Past performance is not necessarily indicative of future results. Trading involves substantial risk. All claims of historical performance are substantiated by the backtesting results on the chart, but these results do not guarantee actual trading outcomes. Keep your language realistic.
Adaptive Trend 1m ### Overview
The "Adaptive Trend Impulse Parallel SL/TP 1m Realistic" strategy is a sophisticated trading system designed specifically for high-volatility markets like cryptocurrencies on 1-minute timeframes. It combines trend-following with momentum filters and adaptive parameters to dynamically adjust to market conditions, ensuring more reliable entries and risk management. This strategy uses SuperTrend for primary trend detection, enhanced by MACD, RSI, Bollinger Bands, and optional volume spikes. It incorporates parallel stop-loss (SL) and multiple take-profit (TP) levels based on ATR, with options for breakeven and trailing stops after the first TP. Optimized for realistic backtesting on short timeframes, it avoids over-optimization by adapting indicators to market speed and efficiency.
### Principles of Operation
The strategy operates on the principle of adaptive impulse trading, where entry signals are generated only when multiple conditions align to confirm a strong trend reversal or continuation:
1. **Trend Detection (SuperTrend)**: The core signal comes from an adaptive SuperTrend indicator. It calculates upper and lower bands using ATR (Average True Range) with dynamic periods and multipliers. A buy signal occurs when the price crosses above the lower band (from a downtrend), and a sell signal when it crosses below the upper band (from an uptrend). Adaptation is based on Rate of Change (ROC) to measure market speed, shortening periods in fast markets for quicker responses.
2. **Momentum and Trend Filters**:
- **MACD**: Uses adaptive fast and slow lengths. In "Trend Filter" mode (default when "Use MACD Cross" is false), it checks if the MACD line is above/below the signal for long/short. In cross mode, it requires a crossover/crossunder.
- **RSI**: Adaptive period RSI must be above 50 for longs and below 50 for shorts, confirming overbought/oversold conditions dynamically.
- **Bollinger Bands (BB)**: Depending on the mode ("Midline" by default), it requires the price to be above/below the BB midline for longs/shorts, or a breakout in "Breakout" mode. Deviation adapts to market efficiency.
- **Volume Spike Filter** (optional): Entries require volume to exceed an adaptive multiple of its SMA, signaling strong impulse.
3. **Volatility Filter**: Entries are only allowed if current ATR percentage exceeds a historical minimum (adaptive), preventing trades in low-volatility ranges.
4. **Risk Management (Parallel SL/TP)**:
- **Stop-Loss**: Set at an adaptive ATR multiple below/above entry for long/short.
- **Take-Profits**: Three levels at adaptive ATR multiples, with partial position closures (e.g., 51% at TP1, 25% at TP2, remainder at TP3).
- **Post-TP1 Features**: Optional breakeven moves SL to entry after TP1. Trailing SL uses BB midline as a dynamic trail.
- All levels are calculated per trade using the ATR at entry, making them "realistic" for 1m charts by widening SL and tightening initial TPs.
The strategy enters long on buy signals with all filters met, and short on sell signals. It uses pyramid margin (100% long/short) for full position sizing.
Adaptation is driven by:
- **Market Speed (normSpeed)**: Based on ROC, tightens multipliers in volatile periods.
- **Efficiency Ratio (ER)**: Measures trend strength, adjusting periods for trending vs. ranging markets.
This ensures the strategy "adapts" without manual tweaks, reducing false signals in varying conditions.
### Main Advantages
- **Adaptability**: Unlike static strategies, parameters dynamically adjust to market volatility and trend strength, improving performance across ranging and trending phases without over-optimization.
- **Realistic Risk Management for 1m**: Wider SL and tiered TPs prevent premature stops in noisy short-term charts, while partial profits lock in gains early. Breakeven/trailing options protect profits in extended moves.
- **Multi-Filter Confirmation**: Combines trend, momentum, and volume for high-probability entries, reducing whipsaws. The volatility filter avoids flat markets.
- **Debug Visualization**: Built-in plots for signals, levels, and component checks (when "Show Debug" is enabled) help users verify logic on charts.
- **Efficiency**: Low computational load, suitable for real-time trading on TradingView with alerts.
Backtesting shows robust results on volatile assets, with a focus on sustainable risk (e.g., SL at 3x ATR avoids excessive drawdowns).
### Uniqueness
What sets this strategy apart is its **fully adaptive framework** integrating multiple indicators with real-time market metrics (ROC for speed, ER for efficiency). Most trend strategies use fixed parameters, leading to poor adaptation; here, every key input (periods, multipliers, deviations) scales dynamically within bounds, creating a "self-tuning" system. The "parallel SL/TP with 1m realism" adds custom handling for micro-timeframes: tightened initial TPs for quick wins and adaptive min-ATR filter to skip low-vol bars. Unlike generic mashups, it justifies the combination—SuperTrend for trend, MACD/RSI/BB for impulse confirmation, volume for conviction—working synergistically to capture "trend impulses" while filtering noise. The post-TP1 breakeven/trailing tied to BB adds a unique profit-locking mechanism not common in open-source scripts.
### Recommended Settings
These settings are optimized and recommended for trading ASTER/USDT on Bybit, with 1-minute chart, x10 leverage, and cross margin mode. They provide a balanced risk-reward for this volatile pair:
- **Base Inputs**:
- Base ATR Period: 10
- Base SuperTrend ATR Multiplier: 2.5
- Base MACD Fast: 8
- Base MACD Slow: 17
- Base MACD Signal: 6
- Base RSI Period: 9
- Base Bollinger Period: 12
- Bollinger Deviation: 1.8
- Base Volume SMA Period: 19
- Base Volume Spike Multiplier: 1.8
- Adaptation Window: 54
- ROC Length: 10
- **TP/SL Settings**:
- Use Stop Loss: True
- Base SL Multiplier (ATR): 3
- Use Take Profits: True
- Base TP1 Multiplier (ATR): 5.5
- Base TP2 Multiplier (ATR): 10.5
- Base TP3 Multiplier (ATR): 19
- TP1 % Position: 51
- TP2 % Position: 25
- Breakeven after TP1: False
- Trailing SL after TP1: False
- Base Min ATR Filter: 0.001
- Use Volume Spike Filter: True
- BB Condition: Midline
- Use MACD Cross (false=Trend Filter): True
- Show Debug: True
For backtesting, use initial capital of 30 USD, base currency USDT, order size 100 USDT, pyramiding 1, commission 0.1%, slippage 0 ticks, long/short margin 0%.
Always backtest on your platform and use risk management—risk no more than 1-2% per trade. This is not financial advice; trade at your own risk.
Non Repaint SystemNON REPAINT SYSTEM UNLIMITED
The ultimate non-repainting Smart Money strategy for TradingView.
Built on Liquidity Grabs + MSS (Market Structure Shift) logic to catch high-probability reversals with precision — no repainting, ever.
✅ True Non-Repaint Signals
✅ Dynamic TP/SL + Trailing Stop
✅ Liquidity Zone Visualization
✅ Multi-Timeframe Structure Filter
✅ Fully Customizable Risk Modes
✅ Built-In Backtest Dashboard
✅ Instant Alerts (Buy, Sell, TP, SL)
Perfect for Forex, Indices, Gold, and Crypto on any timeframe (5M–4H).
Includes complete visual dashboard and performance analytics.
⚠️ For educational use only. Past results do not guarantee future performance.
