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.
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TAGS:
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trend following, ZLEMA, zero lag, volatility bands, ATR stops, risk management, swing trading, momentum, trend confirmation, backtesting
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CATEGORY:
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Strategies
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CHART SETUP RECOMMENDATIONS:
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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
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COMPLIANCE NOTES:
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✅ 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
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移動平均線
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**
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### **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.**
One For All Strategy by Anson🏆 Exclusive Indicator: One For All Strategy
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📈 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
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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.
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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.
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Entry Conditions:
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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).
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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.
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Exit Conditions:
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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.
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Additional Features:
Visualisation: Overlays the X MA (orange line) and price (semi-transparent blue) on the chart for clear signal tracking.
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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.
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.
[Aegis]DCA grid Strategy for Crypto### **Crypto Market Long-Only Strategy (DCA with Risk Mitigation)**
This strategy is a Long-only approach, often using a Dollar-Cost Averaging (DCA) method for staggered entries. It is designed to mitigate the risk of being unable to exit a position for a prolonged period, which typically occurs when a series of initial DCA entries result in a losing trade.
The strategy has the following characteristics:
#### **1. Markets**
* Trade in highly liquid Perpetual Futures markets for cryptocurrencies.
#### **2. Position Sizing**
The initial entry quantity is determined by setting the **Initial Entry Ratio** in the input values.
* If the **Subsequent Entry Multiplier** is 1, the maximum position size upon final entry is determined by:
$$\text{Initial Entry Quantity} \times \text{Number of Entries}$$
* If the **Subsequent Entry Multiplier** is $x$, the maximum position size is determined by the following cumulative sum:
$$\text{1st Entry Quantity} + (\text{1st Entry Quantity} \times x) + (\text{2nd Entry Quantity} \times x) + \dots + ((\text{n-1)th Entry Quantity} \times x)$$
#### **3. Entries**
* The **1st Entry** is determined by the **Entry Sensitivity**. The first entry is automatically calculated based on an oversold condition; setting a higher sensitivity value will trigger the 1st entry in a more significant oversold situation.
* Entries from the **2nd Entry onwards** are made sequentially based on the generated **Grid Spacing**.
* The **Grid Spacing** is calculated as an equal interval:
$$\text{Grid Spacing} = \frac{\text{Final Entry Distance}}{(\text{Number of Entries} - 1)}$$
#### **4. Exits**
This strategy **does not distinguish between Stop-Loss and Take-Profit**. All entered quantities are liquidated simultaneously upon mean reversion. This transaction may result in either a loss or a profit. Generally:
* If the price recovery is rapid, the trade finishes with a profit.
* If the price recovery is slow, the trade finishes with a loss.
Therefore, the **'resilience' or 'recovery speed'** of the underlying asset significantly influences the long-term performance of the strategy.
크립토 시장에 특화된 Long only전략입니다. DCA 방식의 분할 매수 전략이 대체로 이익 거래가 아닌 경우, 장기간 탈출하지 못할 리스크를 보완한 전략입니다.
이 전략은 다음과 같은 특징을 가지고 있습니다.
##### 1. 시장 (Markets)
• 유동성이 풍부한 코인 무기한 선물 시장에서 거래한다.
##### 2. 포지션 크기 (Position Sizing)
인풋 값에 최초진입비율을 설정함으로써 1차 진입의 수량이 결정됩니다.
- 추가 진입배수가 1일 때, 최대 진입 시 포지션 크기는 "1차 진입수량 * 진입횟수"에 의해 결정됩니다.
- 추가 진입배수가 x일때,
1차진입물량 + (1차진입 물량 * x) + (2차진입 물량 * x) ..... + (n-1)차 진입물량 * x 의 방식으로 최대 진입 시 포지션 크기가 결정 됩니다
##### 3. 진입 (Entries)
- 1차 진입은 진입 둔감도에 의해 결정됩니다. 1차 진입은 과매도 상황을 자동적으로 계산하여 결정되며, 둔감도를 높은 값으로 설정하면 더 큰 과매도 상황에서 1차 진입이 결정됩니다.
- 2차 이후의 진입은 생성된 그리드 간격에 의해 순차적으로 진입하게 됩니다.
- 그리드 간격은 최종 진입 간격 / (진입 횟수 - 1) 으로 등간격으로 이루어집니다.
##### 4. 청산 (Exits)
이 전략은 손절과 익절을 구분하지 않습니다. 평균 회귀를 하는 경우 진입한 모든 물량을 일시에 청산하며, 이 거래는 손실 거래일 수도, 이익 거래일 수도 있습니다. 일반적으로, 가격 회복이 빠르게 되는 경우 이익 거래로 마무리되고, 가격 회복이 느린 경우 손실 거래로 마무리되기 때문에, 장기적으로 종목의 '회복탄력성'이 전략의 성과에 영향을 줄 수 있습니다.
NNFX Lite Precision Strategy - Balanced Risk Management🎯 Overview
The NNFX Lite Precision Strategy is a complete trading system designed for consistent, risk-managed trading at 4H timeframe and BTC/USD. It combines simple yet effective technical indicators with professional-grade risk management, including automatic position sizing and multiple take-profit levels.
This strategy is based on the No Nonsense Forex (NNFX) methodology enhanced with modern risk management techniques.
✨ Key Features
🛡️ Professional Risk Management
- Automatic 1% Position Sizing: Every trade risks exactly 1% of your account equity, calculated automatically based on stop loss distance
- Multiple Take-Profit Levels: Scale out at 33%, 50%, and 100% of position at 2 ATR, 3 ATR, and 4.5 ATR respectively
- Trailing Stop Protection: Activates after 2 ATR profit to protect gains while letting winners run
- Average Risk/Reward: 2:1 to 3:1 depending on exit level
- ATR-Based Stops: 1.5× ATR stop loss provides proper breathing room while managing risk
📊 Technical Indicators
- **Baseline**: 21-period EMA for trend direction
- Confirmation 1: SuperTrend (7-period ATR, 2.0 multiplier) for trend validation
- Confirmation 2: 14-period RSI for momentum and overbought/oversold zones
- Volume Filter: Requires 1.4× average volume for quality setups
- Exit Indicator: Multiple TP levels with trailing stop
🎛️ Precision Filters (All Configurable)
1. Trend Strength: Requires 3+ consecutive bars in same SuperTrend direction
2. Momentum Alignment: Baseline and RSI must be rising (long) or falling (short) for 2 bars
3. Volume Confirmation: Entry volume must exceed 1.4× of 20-bar average
4. Cooldown Period: 4-bar minimum between entries to prevent overtrading
5. Optional Filters: Distance from baseline, RSI strength threshold, strong momentum (3-bar)
📈 Entry Conditions
LONG Entry Requirements:
- Price above 21 EMA (current and previous bar)
- SuperTrend GREEN and confirmed for 3+ bars
- RSI between 50-70 (bullish but not overbought)
- EMA and RSI both rising (momentum alignment)
- Volume > 1.4× average
- At least 4 bars since last entry
- No current position
SHORT Entry Requirements:
- Price below 21 EMA (current and previous bar)
- SuperTrend RED and confirmed for 3+ bars
- RSI between 30-50 (bearish but not oversold)
- EMA and RSI both falling (momentum alignment)
- Volume > 1.4× average
- At least 4 bars since last entry
- No current position
🚪 Exit Conditions
Multiple Take-Profit Strategy:
- TP1 (2.0 ATR): Exit 33% of position = 1.33:1 R:R
- TP2(3.0 ATR): Exit 50% of remaining = 2:1 R:R
- TP3 (4.5 ATR): Exit 100% remaining = 3:1 R:R
Trailing Stop:
- Activates after 2 ATR profit
- Trails by 1 ATR offset
- Protects profits while allowing trend continuation
Stop Loss:
- 1.5× ATR from entry
- Risks exactly 1% of account (via automatic position sizing)
Opposite Signal Exit:
- Closes position if opposite direction signal appears (no reversal entry, clean exit only)
⚙️ Customizable Settings
Trading Parameters:
- Enable/Disable Longs and Shorts independently
- Adjustable Risk % (default: 1.0%)
- Entry label display options
Precision Filters (All Optional):
- Trend Strength: Toggle ON/OFF, adjustable bars (1-10)
- Momentum Alignment: Toggle standard or strong (3-bar) momentum
- Volume Filter: Toggle ON/OFF, adjustable multiplier (1.0-3.0×)
- Cooldown: Adjustable bars between entries (0-20)
- Distance Filter: Optional distance requirement from baseline
- RSI Strength: Optional RSI strength threshold for entries
Indicator Parameters:
- Baseline EMA Period (default: 21)
- SuperTrend ATR Period (default: 7)
- SuperTrend Multiplier (default: 2.0)
- RSI Period (default: 14)
- Volume MA Period (default: 20)
- ATR Period for exits (default: 14)
📊 Expected Performance
Balanced Default Settings:
- Trade Frequency: 8-15 trades per month (4H timeframe)
- Win Rate**: 55-70%
- Profit Factor: 2.5-3.5
- Average Win: +2.0% to +3.0%
- Average Loss: Exactly -1.0%
- Risk Consistency: Every trade risks exactly 1%
Note: Performance varies by market, timeframe, and market conditions. Past performance does not guarantee future results.
🕐 Recommended Timeframes
- Daily (1D): Best for swing trading, high-quality signals
- 4-Hour (4H): Optimal balance of frequency and accuracy
💎 Best Use Cases
Ideal For:
✅ Cryptocurrency (BTC, ETH, major alts)
✅ Stock indices (SPX, NDX, DJI)
✅ Individual stocks with good liquidity
✅ Commodities (Gold, Silver, Oil)
Works Best In:
✅ Trending markets
✅ Normal to high volatility
✅ Liquid instruments with tight spreads
✅ Markets with clear directional movement
Less Effective In:
⚠️ Choppy/sideways markets (use filters)
⚠️ Low liquidity instruments
⚠️ During major news events (use cooldown)
⚠️ Extremely low volatility periods
🎓 How to Use
1. Initial Setup:
- Add strategy to chart
- Set initial capital to match your account
- Verify commission settings (default: 0.05%)
- Adjust risk % if desired (default: 1% recommended)
2. Customize Filters:
- **Conservative**: Enable all filters, increase thresholds
- **Balanced** (Default): Standard filter settings
- **Aggressive**: Disable optional filters, lower thresholds
3. Backtest:
- Run on historical data (minimum 2 year)
- Check Strategy Tester results
- Verify profit factor > 2.0
- Ensure win rate > 50%
- Review individual trades
4. Forward Test:
- Paper trade for 2-4 weeks
- Monitor performance vs backtest
- Adjust filters if needed
5. Live Trading:
- Start with small position sizes
- Monitor risk per trade (should be consistent 1%)
- Let take-profit levels work automatically
- Don't override the system
⚠️ Important Notes
Risk Management:
- This strategy calculates position size automatically based on your risk % setting
- Default 1% risk means each losing trade costs 1% of your account
- Ensure you have sufficient capital (minimum $1,000 recommended)
- Stop loss distance varies with ATR (volatile markets = larger SL = smaller position)
Market Conditions:
- Strategy performs best in trending markets
- Use higher cooldown settings in choppy conditions
- Consider disabling in extremely volatile news events
- May underperform during prolonged consolidation
Execution:
- Strategy uses limit orders for TP levels
- Slippage can affect actual entry/exit prices
- Commission settings should match your broker
- High-spread instruments will reduce profitability
🔧 Configuration Profiles
Conservative (High Accuracy, Fewer Trades):
Trend Bars: 4-5
Strong Momentum: ON
Volume Multiplier: 1.6-1.8×
Cooldown: 6-8 bars
Distance Filter: ON
RSI Strength: ON
Expected: 4-8 trades/month, 65-80% win rate
Balanced (Default - Recommended):
Trend Bars: 3
Strong Momentum: OFF
Volume Multiplier: 1.4×
Cooldown: 4 bars
Distance Filter: OFF
RSI Strength: OFF
Expected: 8-15 trades/month, 55-70% win rate
Aggressive (More Trades):
Trend Bars: 2
Momentum: OFF
Volume Multiplier: 1.2×
Cooldown: 2 bars
All Optional Filters: OFF
Expected: 15-25 trades/month, 50-60% win rate
📚 Strategy Logic
Core Philosophy:
This strategy follows the principle that consistent, properly-managed trades with positive expectancy will compound over time. It doesn't try to catch every move or avoid every loss - instead, it focuses on:
1. Quality Setups: Multiple confirmations reduce false signals
2. Proper Position Sizing: 1% risk ensures survivability
3. Asymmetric Risk/Reward: Average wins exceed average losses
4. Scaling Out: Partial profits reduce stress and lock in gains
5. Trailing Stops: Capture extended trends without guessing tops/bottoms
Not Included:
- No martingale or position averaging
- No grid trading or pyramiding
- No reversal trades (clean exit only)
- No look-ahead bias or repainting
- No complicated formulas or curve-fitting
🎯 Performance Tips
1. Let the System Work: Don't override exits or entries manually
2. Respect the Risk: Keep risk at 1% per trade maximum
3. Monitor Equity Curve: Smooth upward = good, choppy = adjust filters
4. Adapt to Conditions: Use conservative settings in uncertain markets
5. Track Statistics: Keep a journal of trades and performance
6. Stay Disciplined: The strategy's edge comes from consistency
7. Update Periodically: Review and adjust filters monthly
✅ Advantages
✅ Automated Risk Management: Position sizing calculated for you
✅ Multiple Exit Levels: Reduces stress, improves R:R
✅ Highly Customizable: Adjust to your trading style
✅ Simple Indicators: Easy to understand and verify
✅ No Repainting: Signals don't disappear or change
✅ Proper Backtesting: All calculations use confirmed bars
✅ Works on All Timeframes: From 15M to Daily
✅ Universal Application: Forex, crypto, stocks, indices
✅ Visual Feedback: Background colours show setup alignment
✅ Clean Code: Well-documented Pine Script v5
⚠️ Limitations
⚠️ Requires Trending Markets: Underperforms in consolidation
⚠️ Not a Holy Grail: Will have losing trades and drawdowns
⚠️ Needs Proper Capital: Minimum $1,000 recommended
⚠️ Slippage Impact: Real-world execution may differ
⚠️ Backtesting Bias: Past results don't guarantee future performance
⚠️ Learning Curve: Optimal settings require experimentation
⚠️ Market Dependent: Some markets work better than others
📊 Statistics to Monitor
When evaluating this strategy, focus on:
1. Profit Factor: Should be > 2.0 (higher is better)
2. Win Rate: Target 50-70% (varies by settings)
3. Average Win vs Average Loss: Should be at least 1.5:1
4. Maximum Drawdown: Keep under 15-20%
5. Consistency: Look for steady equity curve
6. Number of Trades: Minimum 30-50 for statistical relevance
7. Risk/Trade: Should be consistent around 1%
🔐 Risk Disclaimer
IMPORTANT: Trading carries substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. This strategy is provided for educational purposes and should not be considered financial advice.
Before using this strategy with real money:
- Thoroughly backtest on historical data
- Forward test on a demo account
- Understand your broker's execution and fees
- Only risk capital you can afford to lose
- Consider consulting with a financial advisor
- Start with small position sizes
- Monitor performance regularly
The creator of this strategy:
- Makes no guarantees of profitability
- Is not responsible for any trading losses
- Recommends proper risk management at all times
- Suggests thorough testing before live use
📞 Support & Updates
- Version: 1.0 (Pine Script v6)
- Last Updated**: 2025
- Tested On: Multiple forex pairs, crypto, indices
- Minimum TradingView Plan: Free (backtesting included)
For questions, suggestions, or bug reports, please comment below or send a message.
Bollinger Bands Breakout StrategyHey guys check out this strategy script.
Chart plotting:
I use a classic plot of Bollinger Bands to define a consolidation zone, I also use a separate Trend Filter (SMA).
Logic:
When the price is above the SMA and above the Bollinger Upper Band the strategy goes Long. When the price is below the SMA and below the Bollinger Lower Band the strategy goes Short. Simple.
Exits:
TP and SL are a percentage of the price.
Notes: This simple strategy can be used at any timeframe (I prefer the 15min for day trading). It avoids consolidation, when the price is inside the Bollinger Bands, and has a good success rate. Adjust the Length of the BB to suit your style of trading (Lower numbers=more volatile, Higher numbers=more restrictive). Also you can adjust the Trend Filter SMA, I presonally chose the 50 SMA. Finally the SL/TP can be also adjusted from the input menu.
Test it for yourself!
Have great trades!
Vigor Micro-Trend Strategy)STRATEGY NAME: VIGOR MICRO-TREND STRATEGY (LONG ONLY)
This is a compliant description for a Closed-Source Subscription Strategy.
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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).
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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.
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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.
Venzitech ScalperVenzitech 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.
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.
U.T.M.S v2🇷🇺 ОПИСАНИЕ (РУССКИЙ)
U.T.M.S v2 — Чистый EMA-кроссовер с фильтрами
Стратегия для 15м (в первую очередь) и 1ч таймфреймов.
Генерирует сигналы при пересечении EMA(8) и EMA(19) только при подтверждении тренда, объёма, волатильности и времени суток.
Каждая сделка закрывается по фиксированному Take Profit и Stop Loss.
✅ Минимум ложных входов
✅ Работает только в ликвидные часы
✅ Полная фильтрация шума и флэта
🔧 Настройки:
Fast EMA / Slow EMA — периоды скользящих (по умолчанию 8 / 19)
Take Profit % — уровень фиксации прибыли (рек. 2.5%)
Stop Loss % — уровень стоп-лосса (рек. 2.0%)
Фильтры (все включены по умолчанию):
Use 1H Trend Filter — вход разрешён только по направлению тренда на 1H (EMA50 > EMA200 для лонга)
Use Volume Filter — объём должен быть ≥ 1.5× среднего за 20 баров
Min Volume Multiplier — нижний порог объёма (рек. 1.5)
Max Volume Multiplier — верхний порог (рек. 3.0–4.0), отсекает аномальные пампы
Use ATR Volatility Filter — минимальная волатильность (рек. 0.3%)
Use Time Filter (UTC) — торговля только в часы высокой ликвидности: 12:00–18:00 и 20:00–02:00 UTC
💡 Идеальна для ручной торговли или подключения сигнальных ботов.
🇬🇧 DESCRIPTION (ENGLISH)
U.T.M.S v2 — Clean EMA Crossover with Filters
Strategy for 15m (primarily) and 1h timeframes.
Generates signals when the EMA(8) and EMA(19) cross, only if trend, volume, volatility, and time of day are confirmed.
Each trade is closed with a fixed Take Profit and Stop Loss.
✅ Low noise, high-quality signals
✅ Active only during high-liquidity hours
✅ Fully protected against flat and fakeouts
🔧 Inputs:
Fast EMA / Slow EMA — moving average periods (default: 8 / 19)
Take Profit % — profit target (suggested: 2.5%)
Stop Loss % — stop loss level (suggested: 2.0%)
Filters (all enabled by default):
Use 1H Trend Filter — trades only in 1H trend direction (EMA50 > EMA200 for long)
Use Volume Filter — volume must be ≥ 1.5× 20-bar average
Min Volume Multiplier — minimum volume threshold (suggested: 1.5)
Max Volume Multiplier — maximum volume cap (suggested: 3.0–4.0), filters out pumps/dumps
Use ATR Volatility Filter — minimum volatility (suggested: 0.3%)
Use Time Filter (UTC) — active only during high-liquidity sessions: 12:00–18:00 & 20:00–02:00 UTC
💡 Perfect for manual trading or webhook-based signal bots.
多指标量化交易DIY- The indicator includes a very large menu of leading tools, each with its own logic to determine uptrend or downtrend impulses. Highlights include:
- Range Filter: Uses a dynamic centerline and bands computed via conditional EMA/SMA and range sizing to define directional movement. It can operate in a default mode or an alternative “DW” mode.
- Rational Quadratic Kernel (RQK): Applies a kernel smoothing model (Nadaraya Watson) to detect uptrends and downtrends with a focus on noise reduction.
- Supertrend, Half Trend, SSL Channel: Classic trend-following tools that derive direction from ATR-based bands or moving average channels.
- Ichimoku Cloud and SuperIchi: Multi-component systems validating trend via cloud position, conversion/base line relationships, projected cloud, and lagging span.
- TSI (True Strength Index), DPO (Detrended Price Oscillator), AO (Awesome Oscillator), MACD, STC (Schaff Trend Cycle), QQE Mod: Momentum and cycle tools that parse direction from crossovers, zero-line behavior, and momentum shifts.
- Donchian Trend Ribbon, Chandelier Exit: Trend and exit tools that can validate breakouts or sustained trend strength.
- ADX/DMI: Measures trend strength and directional movement via +DI/-DI relationships and minimum ADX thresholds.
- RSI and Stochastic: Use crossovers, level exits, or threshold filters to gate entries based on overbought/oversold dynamics or relative strength trends.
- Vortex, Chaikin Money Flow, VWAP, Bull Bear Power, ROC, Wolfpack Id, Hull Suite: A diverse set of directional, momentum, and volume-based indicators to suit different markets and styles.
- Trendline Breakout and Range Detector: Price-behavior filters that confirm signals during breakouts or within defined ranges.
Confirmation Filters
- Each filter is optional. When enabled, it must validate the leading condition for a signal to pass. Examples:
- EMA Filter: Requires price to be above a specified EMA for longs and below for shorts, filtering signals that contradict broader trend or baseline levels.
- 2 EMA Cross and 3 EMA Cross: Enforce moving average cross conditions (fast above slow for long, the reverse for short) or a three-line stacking logic for more stringent trend alignment.
- RQK, Supertrend, Half Trend, Donchian, QQE, Hull, MACD (crossover vs. zero-line), AO (zero line or AC momentum variants), SSL: Each adds its characteristic validation pattern.
- RSI family (MA cross, exits OB/OS zones, threshold levels) plus RSI MA direction and RSI/RSI MA limits: Multiple ways to constrain signals via relative strength behavior and trajectories.
- Choppiness Index and Damiani Volatility: Prevent entries during ranging conditions or insufficient volatility; choppiness thresholds and volatility states gate the trade.
- VWAP, Volume modes (above MA, simple up/down, delta), Chaikin Money Flow: Volume and flow conditions that ensure signals happen in supportive liquidity or accumulation/distribution contexts.
- ADX/DMI thresholds: Demand a minimum trend strength and directional DI alignment to reduce whipsaw trades.
- Trendline Breakout and Range Detector: Confirm that the price is breaking structure or remains within active range consistent with the leading setup.
- By combining several filters you can create strict, conservative entries or looser setups depending on your goals.
Range Filter Engine
- A core building block, the Range Filter uses conditional EMA and SMA functions to compute adaptive bands around a dynamic centerline. It supports two types:
- Type 1: The centerline updates when price exceeds the band thresholds; bands define acceptable drift ranges.
- Type 2: Uses quantized steps (via floor operations) relative to the previous centerline to handle larger moves in discrete increments.
- The engine offers smoothing for range values using a secondary EMA and can switch between raw and averaged outputs. Its hi/lo bands and centerline compose a corridor that defines directional movement and potential breakout confirmation.
Signal Construction
- The script computes:
- leadinglongcond and leadingshortcond : The primary directional signals from the chosen leading indicator.
- longCond and shortCond : Final signals formed by combining the leading conditions with all enabled confirmations. Each confirmation contributes a boolean gate. If a filter is disabled, it contributes a neutral pass-through, keeping the logic intact without enforcing that condition.
- Expiry Logic: The code counts consecutive bars where the leading condition remains true. If confirmations do not line up within the user-defined “Signal Expiry Candle Count,” the setup is abandoned and the signal does not trigger.
- Alternation: An optional state ensures that long and short signals alternate. This can reduce repeated entries in the same direction without a clear reset.
- Finally, longCondition and shortCondition represent the actionable signals after expiry and alternation logic. These drive the label plotting and alert conditions.
Visualization
- Buy and Sell Labels: When longCondition or shortCondition confirm, the script plots annotated labels directly on the chart, making entries easy to see at a glance. The labels use color coding and clear text tags (“long” vs. “short”).
- Dashboard: A table summarizes the status of the leading indicator and all confirmations. Each row shows the indicator label and whether it passed (✔️) or failed (❌) on the current bar. This intensely practical UI helps you diagnose why a signal did or did not trigger, empowering faster strategy iteration and parameter tuning.
- Failed Confirmation Markers: If a setup expires (count exceeds the limit) and confirmations failed to align, the script can mark the chart with a small label and provide a tooltip listing which confirmations did not pass. It’s a helpful audit trail to understand missed trades or prevent “chasing” invalid signals.
- Data Window Values: The script outputs signal states to the data window, which can be useful for debugging or building composite conditions in multi-indicator templates.
Inputs and Parameters
- You control the indicator from a comprehensive input panel:
- Setup: Signal expiry count, whether to enforce alternating signals, and whether to display labels and the dashboard (including position and size).
- Leading Indicator: Choose the primary signal generator from the large list.
- Per-Filter Toggles: For each confirmation, a respect... toggle enables or disables it. Many include sub-options (like MACD type, Stochastic mode, RSI mode, ADX variants, thresholds for choppiness/volatility, etc.) to fine-tune behavior.
- Range Filter Settings: Choose type and behavior; select default vs. DW mode and smoothing. The underlying functions adjust band sizes using ATR, average change, standard deviation, or user-defined scales.
- Because everything is customizable, you can adapt the indicator to different assets, volatility regimes, and timeframes.
Alerts and Automation
- The script defines alert conditions tied to longCondition and shortCondition . You can set these alerts in your chart to trigger notifications or webhook calls for automated execution in external bots. The alert text is simple, and you can configure your own message template when creating alerts in the chart, including JSON payloads for algorithmic integration.
Typical Workflow
- Select a Leading Indicator aligned with your style. For trend following, Supertrend or SSL may be appropriate; for momentum, MACD or TSI; for range/trend-change detection, Range Filter, RQK, or Donchian.
- Add a few key Confirmation Filters that complement the leading signal. For example:
- Pair Supertrend with EMA Filter and RSI MA Direction to ensure trend alignment and positive momentum.
- Combine MACD Crossover with ADX/DMI and Volume Above MA to avoid signals in low-trend or low-liquidity conditions.
- Use RQK with Choppiness Index and Damiani Volatility to only act when the market is trending and volatile enough.
- Set a sensible Signal Expiry Candle Count. Shorter expiry keeps entries timely and reduces lag; longer expiry captures setups that mature slowly.
- Observe the Dashboard during live markets to see which filters pass or fail, then iterate. Tighten or loosen thresholds and filter combinations as needed.
- For automation, turn on alerts for the final conditions and use webhook payloads to notify your trading robot.
Strengths and Practical Notes
- Flexibility: The indicator is a toolkit rather than a single rigid model. It lets you test different combinations rapidly and visualize outcomes immediately.
- Clarity: Labels, dashboard, and failed-confirmation markers make it easy to audit behavior and refine settings without digging into code.
- Robustness: The expiry and alternation options add discipline, avoiding the temptation to enter late or repeatedly in one direction without a reset.
- Modular Design: The logical gates (“respect…”) make the behavior transparent: if a filter is on, it must pass; if it’s off, the signal ignores it. This keeps reasoning clean.
- Avoiding Overfitting: Because you can stack many filters, it’s tempting to over-constrain signals. Start simple (one leading indicator and one or two confirmations). Add complexity only if it demonstrably improves your edge across varied market regimes.
Limitations and Recommendations
- No single configuration is universally optimal. Markets change; tune filters for the instrument and timeframe you trade and revisit settings periodically.
- Trend filters can underperform in choppy markets; likewise, momentum filters can false-trigger in quiet periods. Consider using Choppiness Index or Damiani to gate signals by regime.
- Use expiry wisely. Too short may miss good setups that need a few bars to confirm; too long may cause late entries. Balance responsiveness and accuracy.
- Always consider risk management externally (position sizing, stops, profit targets). The indicator focuses on signal quality; combining it with robust trade management methods will improve results.
Example Configurations
- Trend-Following Setup:
- Leading: Supertrend uptrend for longs and downtrend for shorts.
- Confirmations: EMA Filter (price above 200 EMA for long, below for short), ADX/DMI (trend strength above threshold with +DI/-DI alignment), Volume Above MA.
- Expiry: 3–4 bars to keep entries timely.
- Result: Strong bias toward sustained moves while avoiding weak trends and thin liquidity.
- Mean-Reversion to Momentum Crossover:
- Leading: RSI exits from OB/OS zones (e.g., RSI leaves oversold for long and leaves overbought for short).
- Confirmations: 2 EMA Cross (fast crossing slow in the same direction), MACD zero-line behavior for added momentum validation.
- Expiry: 2–3 bars for responsive re-entry.
- Result: Captures momentum transitions after short-term extremes, with extra confirmation to reduce head-fakes.
- Range Breakout Focus:
- Leading: Range Filter Type 2 or Donchian Trend Ribbon to detect breakouts.
- Confirmations: Damiani Volatility (avoid low-volatility false breaks), Choppiness Index (prefer trend-ready states), ROC positive/negative threshold.
- Expiry: 1–3 bars to act on breakout windows.
- Result: Better alignment to breakout dynamics, gating trades by volatility and regime.
Conclusion
- This indicator is a comprehensive, configurable framework that merges a chosen leading signal with an array of corroborating filters, disciplined expiry handling, and intuitive visualization. It’s designed to help you build high-quality entry signals tailored to your approach, whether that’s trend-following, breakout trading, momentum capturing, or a hybrid. By surfacing pass/fail states in a dashboard and allowing alert-based automation, it bridges the gap between discretionary analysis and systematic execution. With sensible parameter tuning and thoughtful filter selection, it can serve as a robust backbone for signal generation across diverse instruments and timeframes.
MA Crossover Strategy with Trailing Stop 1HTrend-Following Strategy "MA Crossover Strategy with Trailing Stop 1H"
✅ Complete risk management system (stop-loss, take-profit, trailing stop)
✅ Chart visualization (MA lines, stop levels, entry signals)
✅ Automatic closing of opposite positions
✅ Colored trend indication
The strategy uses moving average crossovers for position entry and a multi-level capital protection system.
Flexible MA Crossrotemtuyunmhv kebh unfhrv ak nbhu, ftar vo jumu, t, vnnumg bg fkph ngkv uaucru, gkph nyv
Golden Cross 50/200Simplicity characterizes each of my trading systems and methods. On this occasion, I present a trend-following strategy with simple rules and high profitability.
System Rules:
-Long entries when the 50 EMA crosses above the 200 EMA.
-Stop Loss (SL) placed at the low of 15 candles prior to the entry candle.
-Take Profit (TP) triggered when the 50 EMA crosses below the 200 EMA.
As with any trend-following system, we sacrifice win rate for profitability, and of course, we will focus on traditional markets with a consistent trend-following nature over time.
Recommended Markets and Timeframes:
BTCUSDT H6
August 17, 2017 - October 20, 2025 Total trades: 30
Profitability: +1,682.99%
Win rate: 40%
Outperforms Buy & Hold
BTCUSDT H4
August 17, 2017 - October 20, 2025 Total trades: 42
Profitability: +12,213.49% (high and stable performance curve)
Win rate: 40%
Outperforms Buy & Hold
BTCUSDT H2
August 17, 2017 - October 20, 2025 Total trades: 95
Profitability: +2,363.80%
Win rate: 24.21%
Matches Buy & Hold
BTCUSDT H1
August 17, 2017 - October 20, 2025 Total trades: 203
Profitability: +1,045% (stable performance curve)
Win rate: 25.62%
BTCUSDT 30M
August 17, 2017 - October 20, 2025 Total trades: 393
Profitability: +4,205.51% (high and stable performance curve)
Win rate: 27.74%
Outperforms Buy & Hold
BTCUSDT 15M
August 17, 2017 - October 20, 2025 Total trades: 821
Profitability: +1,311.97%
Win rate: 23.14%
Timeframes such as Daily, 12-hour, 8-hour, and even 5-minute charts are profitable with this system, so feel free to experiment.
Other markets and timeframes to observe include:
-XAUUSD (H1, H4, H6, H8, Daily)
-SPX (Daily: +21,302% profitability since 1871 in 40 trades)
-Tesla (H1, H2, H4, H6, especially M30 and M15)
-Apple (M5, M15, M30, H1, H2, H4…)
-Warner Bros (M5, M15, M30…)
-GOOGL (M5, M15, M30, H1, H2, H4, H6…)
-AMZN (M5, M15, M30, H2, H4, H6…)
-META (M5, M15, M30, H1, H2, H4…)
-NVDA (M5, M15, M30, H1, H2, H4…)
This system not only generates significant profitability but also performs very well in traditional markets, even on lower timeframes like 5-minute charts. In many cases, the returns far exceed Buy & Hold.
I hope this strategy is useful to you. Follow my Spanish-speaking profile if you want to see my market analyses, and send me your good vibes!
TalaJooy V1.31 𓅂💎 استراتژی معاملاتی TalaJooy V1.31 𓅂
TalaJooy (طلاجوی) یک چارچوب معاملاتی حرفهای و کامل برای TradingView است که برای حذف حدس و گمان، احساسات و تصمیمگیریهای هیجانی از فرآیند معاملات طراحی شده است.
این محصول یک «اندیکاتور سیگنالدهی» ساده نیست؛ بلکه یک استراتژی (Strategy) کامل است که چهار وظیفه کلیدی را به صورت خودکار انجام میدهد:
تحلیل بازار (بر اساس یک موتور امتیازدهی کمی)
صدور سیگنال (ورود و خروج شفاف)
مدیریت ریسک پویا (محاسبه خودکار حد ضرر)
مدیریت حجم پوزیشن (محاسبه خودکار حجم بر اساس ریسک)
هدف «طلاجوی» تبدیل معاملهگری شهودی به یک فرآیند مکانیکی، مبتنی بر داده و مدیریت ریسک است.
⚙️ قابلیتهای کلیدی (آنچه دریافت میکنید)
این استراتژی مجهز به مجموعهای از ابزارهای حرفهای است که مستقیماً روی چارت شما اجرا میشوند:
🎯 ۱. سیگنالهای ورود و خروج شفاف
فلشهای واضح خرید (▲) و فروش (▼) که نقاط دقیق ورود بر اساس منطق استراتژی را مشخص میکنند. این سیستم تنها زمانی سیگنال صادر میکند که فیلترهای روند، همسویی لازم را تایید کنند.
🛡️ ۲. مدیریت ریسک پویای ATR
بزرگترین چالش معاملهگران، تعیین حد ضرر (SL) مناسب است. این استراتژی حد ضرر را به صورت خودکار و پویا بر اساس نوسانات واقعی بازار (با استفاده از ATR) محاسبه میکند.
نتیجه: در بازارهای پرنوسان، استاپ شما برای جلوگیری از استاپهانت شدن، فاصله ایمنتری میگیرد و در بازارهای آرام، بهینهتر و نزدیکتر تنظیم میشود.
💰 ۳. محاسبه خودکار حجم پوزیشن
دیگر نیازی به «ماشین حساب پوزیشن» ندارید. استراتژی به صورت اتوماتیک، حجم دقیق هر معامله را بر اساس درصد ریسک ثابتی که شما از کل سرمایهتان تعیین میکنید، محاسبه مینماید. این ویژگی، مدیریت سرمایه حرفهای را در تمام معاملات شما تضمین میکند.
🎨 ۴. نواحی بصری سود و زیان (TP/SL)
هنگامی که یک معامله باز است، این ابزار به صورت زنده، نواحی حد سود (سبز) و حد ضرر (قرمز) را مشابه ابزار پوزیشن خود تریدینگ ویو، مستقیماً روی چارت برای شما رسم میکند.
📈 ۵. پنل آمار عملکرد پیشرفته
یک جدول آماری جامع که تمام معیارهای کلیدی عملکرد شما را به صورت زنده نمایش میدهد:
سود و زیان خالص (دلاری و درصدی)
ضریب سود (Profit Factor)
نرخ موفقیت (Win Rate)
تعداد معاملات سودده / زیانده
حداکثر افت سرمایه (Max Drawdown)
و موارد دیگر...
🚦 ۶. آیکونهای بازخورد معامله
با آیکونهای هوشمند، فوراً کیفیت معاملات بسته شده خود را ارزیابی کنید:
😎🚀 (سود ویژه و قابل توجه)
💰 (سود عادی)
🙈 (زیان)
📈 چگونه از این ابزار استفاده کنید؟
«طلاجوی» یک 'ماشین چاپ پول' جادویی نیست، بلکه یک ابزار تست و اجرای حرفهای است.
۱. بکتست و بهینهسازی (Backtesting)
مهمترین قدرت این اسکریپت، قابلیت Strategy بودن آن است. شما میتوانید این استراتژی را روی هر جفتارز و تایم فریمی که معامله میکنید (طلا، کریپتو، جفتارزها و...) بکتست بگیرید تا آمار عملکرد آن را مشاهده کنید.
۲. تنظیم پارامترها
از طریق منوی تنظیمات، پارامترهای کلیدی مانند درصد ریسک، نسبت ریسک به ریوارد (R:R)، و فیلترهای زمانی را مطابق با سبک معاملاتی و دارایی مورد نظر خود بهینهسازی کنید.
۳. اجرای سیستماتیک
پس از یافتن تنظیمات بهینه در بکتست، در معاملات زنده به سیگنالها پایبند بمانید و اجازه دهید منطق مکانیکی، معاملات شما را مدیریت کند.
⚠️ سلب مسئولیت مهم (مطابق با قوانین TradingView)
این اسکریپت صرفاً یک ابزار تحلیلی و معاملاتی است و نباید به عنوان سیگنال مالی یا توصیهای برای خرید و فروش تلقی شود. تمام معاملات دارای ریسک هستند و نتایج گذشته تضمینکننده عملکرد آینده نمیباشد.
لطفاً قبل از استفاده از این استراتژی در حساب واقعی، آن را به طور کامل در حالت دمو یا بکتست ارزیابی کنید. مسئولیت تمامی سودها و زیانها بر عهده خود معاملهگر است.
💎 TalaJooy V1.31 𓅂 Trading Strategy
TalaJooy (meaning "Gold Seeker") is a complete, professional trading framework for TradingView, designed to remove guesswork, emotion, and impulsive decisions from your trading process.
This is not a simple signal indicator; it is a complete Strategy script that automates four key tasks:
Market Analysis (Based on a quantitative scoring engine)
Signal Generation (Clear entries and exits)
Dynamic Risk Management (Automated Stop Loss calculation)
Position Sizing (Automated trade sizing based on risk)
The goal of "TalaJooy" is to transform intuitive trading into a mechanical, data-driven, and risk-managed process.
⚙️ Key Features (What You Get)
This strategy comes equipped with a suite of professional tools that run directly on your chart:
🎯 1. Clear Entry & Exit Signals
Receive unambiguous Buy (▲) and Sell (▼) arrows identifying precise entry points based on the strategy's logic. The system only generates signals when its trend-confirmation filters are aligned.
🛡️ 2. Dynamic ATR Risk Management
A trader's biggest challenge is setting a proper Stop Loss (SL). This strategy calculates your SL automatically and dynamically based on real-time market volatility (using ATR).
The Benefit: In volatile markets, your stop is placed at a safer distance to avoid being "stopped out" by noise. In calm markets, it's set tighter and more efficiently.
💰 3. Automated Position Sizing
Stop using external "position size calculators." The strategy automatically calculates the exact trade size for every position based on a fixed risk percentage of your total equity (which you define). This enforces professional money management on every trade.
🎨 4. Visual Profit & Loss (TP/SL) Zones
While a trade is active, this tool plots live, visual zones for your Take Profit (green) and Stop Loss (red) targets, similar to TradingView's native "Long/Short Position" tool.
📈 5. Advanced Performance Stats Panel
A comprehensive statistics table displays all your key performance metrics in real-time:
Net Profit (% and $)
Profit Factor
Win Rate
Win / Loss Trade Count
Max Drawdown
And more...
🚦 6. Smart Trade Feedback Icons
Instantly review the quality of your closed trades with intelligent emoji feedback:
😎🚀 (Exceptional Profit)
💰 (Standard Profit)
🙈 (Loss)
📈 How to Use This Tool
"TalaJooy" is not a "magic money machine"; it is a professional-grade tool for testing and execution.
1. Backtesting & Optimization
The most powerful feature of this script is its Strategy component. You can backtest it on any asset or timeframe you trade (Gold, Crypto, Forex, etc.) to see its historical performance data.
2. Parameter Tuning
Use the settings menu to optimize key parameters—such as Risk Percentage, Risk:Reward Ratio, and core filter settings—to match your personal trading style and preferred assets.
3. Systematic Execution
After identifying optimal settings via backtesting, adhere to the signals in your live trading and let the mechanical logic manage your trades.
⚠️ Important Disclaimer (TradingView Compliant)
This script is provided for educational and analytical purposes only. It is not financial advice or a recommendation to buy or sell any asset. All trading involves substantial risk. Past performance is not indicative of future results.
Please thoroughly evaluate this strategy via backtesting or paper trading before deploying it with real funds. The user assumes full responsibility for all profits and losses incurred.
Moving Average Trend Strategy V4.1 — Revised Version (Selectable✅ **Version Notes (V4.0)**
| Feature | Description |
| --------------------------------------- | -------------------------------------------------------- |
| 🧠 **Moving Average Type Options** | Choose from EMA / SMA / HMA / WMA |
| 🧱 **Take-Profit / Stop-Loss Switches** | Can be enabled or disabled independently |
| ⚙️ **Add Position Function** | Can be enabled or disabled independently |
| 🔁 **Add Position Signal Source** | Selectable between MA Crossover / MACD / RCI / RSI |
| 💹 **Adjustable Parameters** | All periods and percentages are customizable in settings |
---
✅ **Update Summary:**
| Function | Description |
| -------------------------------------- | --------------------------------------------------------------------- |
| **MA Type Selection** | Choose EMA / SMA / HMA / WMA in chart settings |
| **Take-Profit / Stop-Loss Percentage** | Configurable in the “Take-Profit & Stop-Loss” group |
| **Add / Reduce Position Percentage** | Adjustable separately in the “Add/Reduce Position” group |
| **MA Periods** | Customizable in the “Moving Average Parameters” section |
| **Code Structure** | Logic unchanged — only parameterization and selection functions added |
---
### **Strategy Recommendations:**
* **Trending Market:** Prefer EMA trend tracking or SAR indicators
* **Range-Bound Market:** Use ATR-based volatility stop-loss
* **Before Major Events:** Consider option hedging
* **Algorithmic Trading:** Recommend ATR + partial take-profit combination strategy
---
### **Key Parameter Optimization Logic:**
* Backtest different **ATR multipliers** (2–3× ATR)
* Test **EMA periods** (10–50 periods)
* Optimize **partial take-profit ratios**
* Adjust **maximum drawdown tolerance** (typically 30–50% of profit)
---
### **Risk Control Tips:**
* Avoid overly tight stop-losses that trigger too frequently
* During strong trends, consider widening take-profit targets
* Confirm trend continuation with **volume analysis**
* Adjust parameters based on **timeframe** (e.g., Daily vs Hourly)
---
### **Practical Example (Forex: EUR/USD):**
* **Entry:** Go long on breakout above 1.1200
* **Initial Stop-Loss:** 1.1150 (50 pips)
* **When profit reaches 1.1300:**
* Close 50% of position
* Move stop-loss to 1.1250 (lock in 50 pips profit)
* **When price rises to 1.1350:**
* Move stop-loss to 1.1300 (lock in 100 pips profit)
* **Final Outcome:**
* Price retraces to 1.1300, triggering take-profit
This method secured over **80% of trend profits** during the 2023 EUR rebound, capturing **23% more profit** compared to fixed take-profit strategies (based on backtest results).
USDJPY MA Zone Entry Strategy USD/JPY tested only.A consistent strategy that gives me alerts each time my conditions are met. I am a funded prop firm trader. this strategy gives 45-70% annual returns. the sequence for this strategy is: After 4 stop loss hits, place a trade on the NEXT ENTRY ALERT ONCE: (-.188) pips draw back towards the stop loss. (this turns the Strat from 1-3 RISK/REWARD to 1-7+ RISK/REWARD). keep the Stop Loss the same (-.300) away from your entry. Take Profit placed at (+1.488) from entry. if 3 losses in a row happens AFTER you've followed these instructions, don't trade again UNTIL the strategy has a TAKE PROFIT gain, then the sequence starts over again. that is this strategies losing streak. after that streak is over. the strategy will be back to give you profits.
Fincandle ATR Direction TrackerOverview
The Fincandle ATR Direction Tracker is a strategy designed to capture momentum moves in the market using a dynamic ATR-based trailing stop. It identifies strong momentum candles and filters signals using trend alignment with moving averages.
Partial exits allow users to take a portion of profit at a predefined ATR multiple while keeping the remaining position open until the opposite signal occurs.
How It Works
Momentum Detection:
Measures candle body size relative to the Average True Range (ATR).
A candle is considered momentum if its body size exceeds ATR × Multiplier.
Trend Filter:
Uses two moving averages (Fast MA and Slow MA) to determine the market trend.
Bullish trend: Fast MA > Slow MA → long trades allowed
Bearish trend: Fast MA < Slow MA → short trades allowed
Trend filter can be toggled on or off.
ATR Trailing Stop:
A dynamic trailing stop adapts to price volatility.
Crossing above the trail triggers a buy signal, crossing below triggers a sell signal.
Partial Exit / Take Profit:
Step 1: Exit 50% of the position when price moves a configurable multiple of ATR in your favor.
Step 2: Close the remaining position when the opposite signal occurs (e.g., price crosses below/above the ATR trail).
How to Use
Add the strategy to any chart (stocks, indices, forex, crypto).
Configure ATR period, sensitivity, take profit multiple, and moving average lengths to suit the timeframe and asset.
Monitor buy/sell markers and dynamic ATR trail on the chart.
Optional: Set alerts for real-time notifications when signals trigger.
Adjust partial exit multiplier to control risk/reward.
Example Settings
ATR Period: 10
ATR Sensitivity: 3 × ATR
Take Profit: 2 × ATR
Fast MA: 50
Slow MA: 200
Partial Exit: 50% of position at take profit, remaining exits on opposite signal
Key Features
Adaptive ATR trailing stop for volatility-based entries/exits.
Trend alignment filter with Fast/Slow MA.
Partial exit logic for better risk management.
Visual BUY/SELL markers and alerts.
Fully Pine Script v6 compatible.
Disclaimer
This strategy is for educational and analytical purposes only.
It does not guarantee profits. Traders should always use proper risk management.
