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
Volatility
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
[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.
[Aegis]Original Turtle System for CryptoAs Richard Dennis once said, "Even if I published all the Turtle rules in the newspaper right now, no one would be able to 'execute' them," and 40 years later, even in modern financial markets (like the crypto market) where all the conditions have been disclosed, this strategy continues to deliver amazing performance. The following outlines the original Turtle rules as disclosed by Curtis Faith in his book *Way of the Turtle*, and a TradingView algorithm that translates these rules for application in the crypto market.
---
### **The Original Turtle Trading Rules**
#### **1. Markets**
* Trade in liquid futures markets.
#### **2. Position Sizing**
The volatility measure, **N**, is used as the basis for all calculations.
**True Range (TR) Calculation:** Select the largest of the following three values:
* Current High - Current Low
* $|\text{Current High} - \text{Previous Close}|$ (Absolute Value)
* $|\text{Current Low} - \text{Previous Close}|$ (Absolute Value)
**N (Average True Range, ATR) Calculation:**
$$N = \frac{(19 \times \text{PDN} + \text{TR})}{20}$$
* **PDN:** Previous Day's N value
* **TR:** Current True Range
This is similar to a 20-day Exponential Moving Average, and is sometimes calculated using a Simple Moving Average.
**Unit Size Calculation:**
$$\text{Unit Size (Number of Contracts)} = \frac{1\% \text{ of Account Equity}}{(\text{N} \times \text{Dollars per Point})}$$
* **Dollars per Point (Tick Value):** The value of a 1-point change in price.
#### **3. Entries**
* **Entry:** Buy when the 55-day high is broken to the upside, and sell when the 55-day low is broken to the downside.
#### **5. Stops**
* The stop-loss for every unit is set at a price **2N** unfavorable from the entry price.
* For each additional unit added, the stop price for the **entire position** is adjusted favorably by **1/2 N**.
* In other words, the stop price of the last unit entered becomes the stop price for the entire position.
#### **6. Exits**
The exit rule for profitable positions (before a stop is hit) is as follows:
* **Long Positions:** Exit when the 20-day low is broken to the downside.
* **Short Positions:** Exit when the 20-day high is broken to the upside.
*Note: This exit rule is followed only if the price has moved up by a value greater than or equal to the N value multiplied by the criterion for changing the take-profit line (the original Korean text mentions a condition based on N, which is commonly interpreted as requiring a profit before applying the channel exit).*
리처드 데니스가 앞서 "내가 지금 당장 터틀의 모든 규칙을 신문에 공표한다고 해도 아무도 '실행'하지 못할 것"라고 말했듯 40년이 흘러 모든 조건이 공개된 현대 금융시장(크립토 시장)에서도 여전히 이 전략은 놀라운 퍼포먼스를 기록하고 있습니다. 아래는 커티스 페이스가 자신의 저서 '터틀의 방식'에 공개한 오리지널 터틀 규칙과 이를 알고리즘으로 변환하여 크립토마켓에 적용한 트레이딩뷰 알고리즘 입니다.
##### 1. 시장 (Markets)
• 유동성이 풍부한 선물 시장에서 거래한다.
##### 2. 포지션 크기 (Position Sizing)
변동성 측정 단위인 N을 모든 계산의 기초로 사용한다.
**True Range (TR) 계산:** 다음 세 가지 값 중 가장 큰 값을 선택한다.
- • 현재 고가 - 현재 저가
- • |현재 고가 - 전일 종가| (절대값)
- • |현재 저가 - 전일 종가| (절대값)
**N (Average True Range, ATR) 계산:**
N = (19 × PDN + TR) / 20
- • PDN: 이전 날의 N 값
- • TR: 현재 True Range
이는 20일 지수이동평균과 유사하며, 단순이동평균으로 계산하기도 한다.
**1 유닛(Unit)의 크기 계산:**
유닛 크기 (계약 수) = 계좌 자산의 1% / (N × 틱 가치)
• 틱 가치(Dollars per Point): 1포인트 변동 시의 가치
##### 3. 진입 (Entries)
- • 진입: 55일 고가를 상향 돌파하면 매수, 55일 저가를 하향 돌파하면 매도한다.
##### 5. 손절 (Stops)
- • 모든 유닛에 대한 손절 기준은 진입 가격으로부터 2N 만큼 불리한 가격에 설정한다.
- • 유닛이 추가될 때마다 전체 포지션의 손절 가격을 1/2 N 만큼 유리한 방향으로 상향 조정한다.
- • 즉, 마지막으로 진입한 유닛의 손절 가격이 전체 포지션의 손절 가격이 된다.
##### 6. 청산 (Exits)
손절에 도달하기 전 수익 중인 포지션의 청산 규칙은 다음과 같다.
- • 매수 포지션: 20일 저가를 하향 돌파할 때 청산한다.
- • 매도 포지션: 20일 고가를 상향 돌파할 때 청산한다.
단, N값에 익절선 변경 기준을 곱한 값 이상으로 가격이 상승할 경우, 위 규칙을 따른다.
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!
Squeeze Breakout Strategy [KedArc Quant]Description:
Squeeze Breakout strategy looks for volatility compression (Bollinger Bands inside Keltner Channels = a “squeeze”), then trades the volatility expansion in the direction of a momentum filter.
🧠 How the “Squeeze → Expansion” works
- Markets alternate between quiet (compressed) and active (expanded) phases.
- We call it a squeeze when Bollinger Bands (BB)—which reflect standard deviation around price—shrink inside the Keltner Channels (KC)—which reflect ATR/range.
- This means dispersion (stdev) is small relative to typical range (ATR). Price is coiling; participants are agreeing on value.
- When BB pops back outside KC, the squeeze releases. That’s the first sign that volatility is expanding again.
- A release alone doesn’t tell you direction. That’s why this strategy pairs the release with a momentum filter:
- We estimate momentum using a smoothed linear-regression slope of price (a clean proxy for acceleration).
- If the slope is positive at release, we favor longs; if negative, we favor shorts.
- Optionally, you can require Band Break + Momentum (price closes beyond the BB) for a stricter entry.
- This combination aims to capture the first leg of the range-to-trend transition while avoiding random pokes that often occur during tight consolidations.
💡 Why this is unique
Two entry modes (toggle):
1. Release + Momentum (enter when the squeeze turns off)
2. Band Break + Momentum (enter on a close beyond BB with momentum)
- Momentum = smoothed linear-regression slope, a clean thrust detector that’s less laggy than many oscillators.
- Risk module included: ATR stop, optional 1R partial take-profit, and a Chandelier trailing stop for the runner.
- Practical filters: higher-timeframe EMA trend alignment, volume surge, minimum BB width, and session window—so it adapts across markets/timeframes.
- Backtest-ready: uses TradingView’s `strategy.` framework with commission/slippage controls.
📈 How it helps traders
✅Regime clarity: distinguishes compression vs. expansion so you’re not forcing trades during dead zones.
✅Objective entries: momentum + band logic reduces discretionary “feel” and late chases.
✅Built-in risk plan: stop/targets/trailing defined in inputs—consistent execution across tickers.
✅Adaptable: works across instruments/timeframes; filters let you tailor noise tolerance per market session.
✅Alerts: real-time signals for entry and squeeze release.
✅Not a Mash-Up / Original Work
✅Fully authored in Pine Script v6; no external libraries or copied logic blocks.
✅Uses well-known, documented formulas (BB, KC, ATR, LinReg slope) combined into a new rule set (two entry modes + momentum + structured exits).
✅Code and parameters are transparent and adjustable; the script stands alone.
🧩 Formulas (core)
Bollinger Bands
# Basis = `SMA(close, bbLen)`
# Upper/Lower = `Basis ± bbMult × stdev(close, bbLen)`
# Width% = `(Upper − Lower) / Basis × 100`
Keltner Channels
# Basis = `EMA(close, kcLen)`
# Upper/Lower = `Basis ± kcMult × ATR(kcATR)`
Squeeze state
# ON: `BB_Upper < KC_Upper` and `BB_Lower > KC_Lower`
# Release: `squeeze_on ` and `not squeeze_on`
Momentum (this script)
# `lin = linreg(close, momLen, 0)`
# `mom = SMA( lin − lin , momSmoothing )`
# Long bias when `mom > 0`; short bias when `mom < 0`.
⚙️ Inputs
Compression
`bbLen`, `bbMult` — BB length & std-dev multiplier
`kcLen`, `kcATR`, `kcMult` — KC lengths & ATR multiplier
`Entry Mode` — Release + Momentum, Band Break + Momentum, or Either
Momentum
`momLen`, `momSmoothing`
Filters (optional)
`Use HTF Trend Filter` + `HTF Timeframe` + `HTF EMA Length`
`Require Volume Surge` (`volLen`, `volMult`)
`Avoid Ultra-Low Vol` (`Min BB Width %`)
`Session` window
Risk / Exits
`ATR Length`, `ATR Stop Multiplier`
`Take Profit at 1R` (with Partial 50%)
`Chandelier` (`chLen`, `chMult`)
Optional `Time Stop (bars)`
🎯 Entry & Exit Rules
Entry (choose one mode):
1. Release + Momentum (default)
Long: on the bar the squeeze releases and `mom > 0`, passing all enabled filters.
Short: on the bar the squeeze releases and `mom < 0`, passing filters.
2. Band Break + Momentum
Long: `close > BB_Upper` and `mom > 0`, with filters.
Short: `close < BB_Lower` and `mom < 0`, with filters.
Initial Stop
ATR-based: `Stop Distance = atrMult × ATR(atrLen)` from entry.
Targets & Runner
TP1 at 1R (optional): take 50% at `entry + 1R` (long) / `entry − 1R` (short).
Runner: remaining position trails a Chandelier stop:
Long trail = `highest(high, chLen) − chMult × ATR`
Short trail = `lowest(low, chLen) + chMult × ATR`
Optional Time Stop: close the trade after N bars in position.
Labels on chart
“Long” / “Short” = entry signals.
“L-TP1 / S-TP1” = partial exits at 1R.
“L-Runner / S-Runner” = trailing-stop exits of the runner.
Alerts
Provided for Long Entry, Short Entry, and Squeeze Release.
💬 How to use
1. Choose your market/timeframe (e.g., NSE 5–15m intraday, 60m–Daily for swing).
2. If you prefer cleaner trends, enable the HTF EMA filter (e.g., 240m/1D).
3. For intraday, consider Band Break + Momentum with Volume Surge and a small Min BB Width.
4. Adjust ATR/Chandelier multipliers to fit your risk tolerance and instrument.
Abbreviations
BB – Bollinger Bands
KC – Keltner Channels
ATR – Average True Range
SMA / EMA – Simple/Exponential Moving Average
HTF – Higher Timeframe
R – Risk unit (equal to the initial stop distance)
⚠️ Disclaimer
This script is for educational purposes only. Past performance ≠ future returns. Always paper trade first. Options trading carries high risk — manage exposure responsibly.
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.
Hyper SAR Reactor Trend StrategyHyperSAR Reactor Adaptive PSAR Strategy
Summary
Adaptive Parabolic SAR strategy for liquid stocks, ETFs, futures, and crypto across intraday to daily timeframes. It acts only when an adaptive trail flips and confirmation gates agree. Originality comes from a logistic boost of the SAR acceleration using drift versus ATR, plus ATR hysteresis, inertia on the trail, and a bear-only gate for shorts. Add to a clean chart and run on bar close for conservative alerts.
Scope and intent
• Markets: large cap equities and ETFs, index futures, major FX, liquid crypto
• Timeframes: one minute to daily
• Default demo: BTC on 60 minute
• Purpose: faster yet calmer PSAR that resists chop and improves short discipline
• Limits: this is a strategy that places simulated orders on standard candles
Originality and usefulness
• Novel fusion: PSAR AF is boosted by a logistic function of normalized drift, trail is monotone with inertia, entries use ATR buffers and optional cooldown, shorts are allowed only in a bear bias
• Addresses false flips in low volatility and weak downtrends
• All controls are exposed in Inputs for testability
• Yardstick: ATR normalizes drift so settings port across symbols
• Open source. No links. No solicitation
Method overview
Components
• Adaptive AF: base step plus boost factor times logistic strength
• Trail inertia: one sided blend that keeps the SAR monotone
• Flip hysteresis: price must clear SAR by a buffer times ATR
• Volatility gate: ATR over its mean must exceed a ratio
• Bear bias for shorts: price below EMA of length 91 with negative slope window 54
• Cooldown bars optional after any entry
• Visual SAR smoothing is cosmetic and does not drive orders
Fusion rule
Entry requires the internal flip plus all enabled gates. No weighted scores.
Signal rule
• Long when trend flips up and close is above SAR plus buffer times ATR and gates pass
• Short when trend flips down and close is below SAR minus buffer times ATR and gates pass
• Exit uses SAR as stop and optional ATR take profit per side
Inputs with guidance
Reactor Engine
• Start AF 0.02. Lower slows new trends. Higher reacts quicker
• Max AF 1. Typical 0.2 to 1. Caps acceleration
• Base step 0.04. Typical 0.01 to 0.08. Raises speed in trends
• Strength window 18. Typical 10 to 40. Drift estimation window
• ATR length 16. Typical 10 to 30. Volatility unit
• Strength gain 4.5. Typical 2 to 6. Steepness of logistic
• Strength center 0.45. Typical 0.3 to 0.8. Midpoint of logistic
• Boost factor 0.03. Typical 0.01 to 0.08. Adds to step when strength rises
• AF smoothing 0.50. Typical 0.2 to 0.7. Adds inertia to AF growth
• Trail smoothing 0.35. Typical 0.15 to 0.45. Adds inertia to the trail
• Allow Long, Allow Short toggles
Trade Filters
• Flip confirm buffer ATR 0.50. Typical 0.2 to 0.8. Raise to cut flips
• Cooldown bars after entry 0. Typical 0 to 8. Blocks re entry for N bars
• Vol gate length 30 and Vol gate ratio 1. Raise ratio to trade only in active regimes
• Gate shorts by bear regime ON. Bear bias window 54 and Bias MA length 91 tune strictness
Risk
• TP long ATR 1.0. Set to zero to disable
• TP short ATR 0.0. Set to 0.8 to 1.2 for quicker shorts
Usage recipes
Intraday trend focus
Confirm buffer 0.35 to 0.5. Cooldown 2 to 4. Vol gate ratio 1.1. Shorts gated by bear regime.
Intraday mean reversion focus
Confirm buffer 0.6 to 0.8. Cooldown 4 to 6. Lower boost factor. Leave shorts gated.
Swing continuation
Strength window 24 to 34. ATR length 20 to 30. Confirm buffer 0.4 to 0.6. Use daily or four hour charts.
Properties visible in this publication
Initial capital 10000. Base currency USD. Order size Percent of equity 3. Pyramiding 0. Commission 0.05 percent. Slippage 5 ticks. Process orders on close OFF. Bar magnifier OFF. Recalculate after order filled OFF. Calc on every tick OFF. No security calls.
Realism and responsible publication
No performance claims. Past results never guarantee future outcomes. Shapes can move while a bar forms and settle on close. Strategies execute only on standard candles.
Honest limitations and failure modes
High impact events and thin books can void assumptions. Gap heavy symbols may prefer longer ATR. Very quiet regimes can reduce contrast and invite false flips.
Open source reuse and credits
Public domain building blocks used: PSAR concept and ATR. Implementation and fusion are original. No borrowed code from other authors.
Strategy notice
Orders are simulated on standard candles. No lookahead.
Entries and exits
Long: flip up plus ATR buffer and all gates true
Short: flip down plus ATR buffer and gates true with bear bias when enabled
Exit: SAR stop per side, optional ATR take profit, optional cooldown after entry
Tie handling: stop first if both stop and target could fill in one bar
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.
5min ORB with FVG God Modethis is 15 min Order Block strategy who works verry well on 3 min chart just must to close some
trading hours
Turtle Strategy - Triple EMA Trend with ADX and ATRDescription
The Triple EMA Trend strategy is a directional momentum system built on the alignment of three exponential moving averages and a strong ADX confirmation filter. It is designed to capture established trends while maintaining disciplined risk management through ATR-based stops and targets.
Core Logic
The system activates only under high-trend conditions, defined by the Average Directional Index (ADX) exceeding a configurable threshold (default: 43).
A bullish setup occurs when the short-term EMA is above the mid-term EMA, which in turn is above the long-term EMA, and price trades above the fastest EMA.
A bearish setup is the mirror condition.
Execution Rules
Entry:
• Long when ADX confirms trend strength and EMA alignment is bullish.
• Short when ADX confirms trend strength and EMA alignment is bearish.
Exit:
• Stop Loss: 1.8 × ATR below (for longs) or above (for shorts) the entry price.
• Take Profit: 3.3 × ATR in the direction of the trade.
Both parameters are configurable.
Additional Features
• Start/end date inputs for controlled backtesting.
• Selective activation of long or short trades.
• Built-in commission and position sizing (percent of equity).
• Full visual representation of EMAs, ADX, stop-loss, and target levels.
This strategy emphasizes clean trend participation, strict entry qualification, and consistent reward-to-risk structure. Ideal for swing or medium-term testing across trending assets.
Fury by Tetrad Fury by Tetrad
What it is:
A rules-based Bollinger+RSI strategy that fades extremes: it looks for price stretching beyond Bollinger Bands while RSI confirms exhaustion, enters countertrend, then exits at predefined profit multipliers or optional stoploss. “Ultra Glow” visuals are purely cosmetic.
How it works — logic at a glance
Framework: Classic Bollinger Bands (SMA basis; configurable length & multiplier) + RSI (configurable length).
Long entries:
Price closes below the lower band and RSI < Long RSI threshold (default 28.3) → open LONG (subject to your “Market Direction” setting).
Short entries:
Price closes above the upper band and RSI > Short RSI threshold (default 88.4) → open SHORT.
Profit exits (price targets):
Uses simple multipliers of the strategy’s average entry price:
Long exit = `entry × Long Exit Multiplier` (default 1.14).
Short exit = `entry × Short Exit Multiplier` (default 0.915).
Risk controls:
Optional pricebased stoploss (disabled by default) via:
Long stop = `entry × Long Stop Factor` (default 0.73).
Short stop = `entry × Short Stop Factor` (default 1.05).
Directional filter:
“Market Direction” input lets you constrain entries to Market Neutral, Long Only, or Short Only.
Visuals:
“Ultra Glow” draws thin layered bands around upper/basis/lower; these do not affect signals.
> Note: Inputs exist for a timebased stop tracker in code, but this version exits via targets and (optional) price stop only.
Why it’s different / original
Explicit extreme + momentum pairing: Entries require simultaneous band breach and RSI exhaustion, aiming to avoid entries on gardenvariety volatility pokes.
Deterministic exits: Multiplier-based targets keep results auditable and reproducible across datasets and assets.
Minimal, unobtrusive visuals: Thin, layered glow preserves chart readability while communicating regime around the Bollinger structure.
Inputs you can tune
Bollinger: Length (default 205), Multiplier (default 2.2).
RSI: Length (default 23), Long/Short thresholds (28.3 / 88.4).
Targets: Long Exit Mult (1.14), Short Exit Mult (0.915).
Stops (optional): Enable/disable; Long/Short Stop Factors (0.73 / 1.05).
Market Direction: Market Neutral / Long Only / Short Only.
Visuals: Ultra Glow on/off, light bar tint, trade labels on/off.
How to use it
1. Timeframe & assets: Works on any symbol/timeframe; start with liquid majors and 60m–1D to establish baseline behavior, then adapt.
2. Calibrate thresholds:
Narrow/meanreverting markets often tolerate tighter RSI thresholds.
Fast/volatile markets may need wider RSI thresholds and stronger stop factors.
3. Pick realistic targets: The default multipliers are illustrative; tune them to reflect typical mean reversion distance for your instrument/timeframe (e.g., ATRinformed profiling).
4. Risk: If enabling stops, size positions so risk per trade ≤ 1–2% of equity (max 5–10% is a commonly cited upper bound).
5. Mode: Use Long Only or Short Only when your discretionary bias or higher timeframe model favors one side; otherwise Market Neutral.
Recommended publication properties (for backtests that don’t mislead)
When you publish, set your strategy’s Properties to realistic values and keep them consistent with this description:
Initial capital: 10,000 (typical retail baseline).
Commission: ≥ 0.05% (adjust for your venue).
Slippage: ≥ 2–3 ticks (or a conservative pertrade value).
Position sizing: Avoid risking > 5–10% equity per trade; fixedfractional sizing ≤ 10% or fixedcash sizing is recommended.
Dataset / sample size: Prefer symbols/timeframes yielding 100+ trades over the tested period for statistical relevance. If you deviate, say why.
> If you choose different defaults (e.g., capital, commission, slippage, sizing), explain and justify them here, and use the same settings in your publication.
Interpreting results & limitations
This is a countertrend approach; it can struggle in strong trends where band breaches compound.
Parameter sensitivity is real: thresholds and multipliers materially change trade frequency and expectancy.
No predictive claims: Past performance is not indicative of future results. The future is unknowable; treat outputs as decision support, not guarantees.
Suggested validation workflow
Try different assets. (TSLA, AAPL, BTC, SOL, XRP)
Run a walkforward across multiple years and market regimes.
Test several timeframes and multiple instruments. (30m Suggested)
Compare different commission/slippage assumptions.
Inspect distribution of returns, max drawdown, win/loss expectancy, and exposure.
Confirm behavior during trend vs. range segments.
Alerts & automation
This release focuses on chart execution and visualization. If you plan to automate, create alerts at your entry/exit conditions and ensure your broker/venue fills reflect your slippage/fees assumptions.
Disclaimer
This script is provided for educational and research purposes. It is not investment advice. Trading involves risk, including the possible loss of principal. © Tetrad Protocol.
SabinaCounter-trend strategy working only in long.
Principle of Operation
The strategy is based on market extremes, which serve as both the signals for opening a position and for closing it. These extremes possess data such as Open, High, Low, Close, and others. The length and the shift (positive or negative) of the extremes are also configurable.
The extreme Ext is used for closing the position, and the extreme Ent is used for opening the position.
Base Order
A dedicated percentage of the deposit is specified. If the price crosses the Ent extreme, a long position is opened.
Take Profit and Stop Loss
The Take Profit level is calculated from the average price. A trailing stop order is present by default, which is set by the Ext extreme. When the price crosses this extreme, the position will be closed if the Take Profit has not yet been reached.
Grid of Orders (Averaging)
This section allows for enabling or disabling the grid of orders.
In the order grid, you can specify the percentage below the base order at which the grid's limit orders should be placed. The grid step is also configurable. The leverage for all orders, including the base order, is set here.
The order grid consists of 10 orders, and each order can be assigned its own percentage of the deposit. This gives the strategy greater flexibility compared to a standard DCA (Dollar-Cost Averaging) grid.
Information Panel
A table displays the historical price drop at a given moment, providing some insight into the potential liquidation level based on the selected leverage. The table also shows the deposit utilization (how much of the deposit is currently tied up).
Squeeze Backtest by Shaqi v2.0Script to backtest price squeeze's. Works on long and short directions
FirstStrike Long 200 - Daily Trend Rider [KedArc Quant]Strategy Description
FirstStrike Long 200 is a disciplined, long-only momentum strategy designed for daily "strike-first" entries in trending markets. It scans for RSI momentum above a customizable trigger (default 50), confirmed by EMA trend filters, and limits you to *exactly one trade per day* to avoid overtrading. It uses ATR for dynamic risk management (1.5x stop, 2:1 RR target) and optional trailing stops to ride winners. Backtested with realistic commissions and sizing, it prioritizes low drawdowns (<1% max in tests) over aggressive gains—ideal for swing traders seeking quality setups in bull runs.
Why It's Different from Other Strategies
Unlike generic RSI crossover bots or EMA ribbon mashups that spam signals and bleed in chop, FirstStrike enforces a "one-and-done" daily gate, blending precision momentum (RSI modes with grace/sustain) with robust filters (volume, sessions, rearm dips).
How It Helps Traders
- Reduces Emotional Trading: One entry/day forces discipline—miss a setup? Wait for tomorrow. Perfect for busy pros avoiding screen fatigue.
- Adapts to Regimes: Switch modes for trends ("Cross+Grace") vs. ranges ("Any bar")—boosts win rates 5-10% in backtests on high-beta names like .
- Risk-First Design: ATR scales stops to vol capping DD at 0.2% while targeting 2R winners. Trailing option locks +3-5% runs without early exits.
- Quick Insights: Labels/alerts flag entries with RSI values; bgcolor highlights signals for visual scanning. Helps spot "first-strike" edges in uptrends, filtering ~60% noise.
Why This Is Not a Mashup
This isn't a Frankenstein of off-the-shelf indicators—while it uses standard RSI/EMA/ATR (core Pine primitives), the innovation lies in:
- Custom Trigger Engine: Switchable modes (e.g., "Cross+Grace+Sustain" requires post-cross hold) prevent perpetual signals, unlike basic `ta.crossover()`.
- Daily Rearm Gate: Resets eligibility only after a dip (if enabled), tying momentum to mean-reversion—original logic not found in common scripts.
- Per-Day Isolation: `var` vars + `ta.change(time("D"))` ensure zero pyramiding/overlaps, beyond simple session filters.
All formulae are derived in-house for "first-strike" (early RSI pops in trends), not copied from public repos.
Input Configurations
Let's break down every input in the FirstStrike Long 200 strategy. These settings let you tweak the strategy like a dashboard—start with defaults for quick testing,
then adjust based on your asset or timeframe (5m for intraday). They're grouped logically to keep things organized, and most have tooltips in the script for quick reminders.
RSI / Trigger Group: The Heart of Momentum Detection
This is where the magic starts—the strategy hunts for "upward energy" using RSI (Relative Strength Index), a tool that measures if a stock is overbought (too hot) or oversold (too cold) on a 0-100 scale.
- RSI Length: How many bars (candles) back to calculate RSI. Default is 14, like a 14-day window for daily charts. Shorter (e.g., 9) makes it snappier for fast markets; longer (21) smooths out noise but misses quick turns.
- Trigger Level (RSI >= this): The key RSI value where the strategy says, "Go time!" Default 50 means enter when RSI crosses or holds above the neutral midline. Why is this trigger required? It acts as your "green light" filter—without it, you'd enter on every tiny price wiggle, leading to endless losers. RSI above this shows building buyer power, avoiding weak or sideways moves. It's essential for quality over quantity, especially in one-trade-per-day setups.
- Trigger Mode: Picks how strict the RSI signal must be. Options: "Cross only" (exact RSI crossover above trigger—super precise, fewer trades); "Cross+Grace" (crossover or within a grace window after—gives a second chance); "Cross+Grace+Sustain" (crossover/grace plus RSI holding steady for bars—best for steady climbs); "Any bar >= trigger" (looser, any bar above—more opportunities but riskier in chop). Start with "Any bar" for trends, switch to "Cross only" for caution.
- Grace Window (bars after cross): If mode allows, how many bars post-RSI-cross you can still enter if RSI dips but recovers. Default 30 (about 2.5 hours on 5m). Zero means no wiggle room—pure precision.
- Sustain Bars (RSI >= trigger): In sustain mode, how many straight bars RSI must stay above trigger. Default 3 ensures it's not a fluke spike.
- Require RSI Dip Below Rearm Before Any Entry?: A yes/no toggle. If on, the strategy "rearms" only after RSI dips below a low level (like a breather), preventing back-to-back signals in overextended rallies.
- Rearm Level (if requireDip=true): The dip threshold for rearming. Default 45—RSI must go below this to reset eligibility. Lower (30) for deeper pullbacks in volatile stocks.
For the trigger level itself, presets matter a lot—default 50 is neutral and versatile for broad trends. Bump to 55-60 for "strong momentum only" (fewer but higher-win trades, great in bull runs like tech surges); drop to 40-45 for "early bird" catches in recoveries (more signals but watch for fakes in ranges). The optimize hint (40-60) lets you test these in TradingView to match your risk—higher presets cut noise by 20-30% in backtests.
Trend / Filters Group: Keeping You on the Right Side of the Market
These EMAs (Exponential Moving Averages) act like guardrails, ensuring you only long in uptrends.
- EMA (Fast) Confirmation: Short-term EMA for price action. Default 20 periods—price must be above this for "recent strength." Shorter (10) reacts faster to intraday pops.
- EMA (Trend Filter): Long-term EMA for big-picture trend. Default 200 (classic "above the 200-day" rule)—price above it confirms bull market. Minimum 50 to avoid over-smoothing.
Optional Hour Window Group: Timing Your Strikes
Avoid bad hours like lunch lulls or after-hours tricks.
- Restrict by Session?: Yes/no for using exact market hours. Default off.
- Session (e.g., 0930-1600 for NYSE): Time string like "0930-1600" for open to close. Auto-skips pre/post-market noise.
- Restrict by Hour Range?: Fallback yes/no for simple hours. Default off.
- Start Hour / End Hour: Clock times (0-23). Defaults 9-15 ET—focus on peak volume.
Volume Filter Group: No Volume, No Party
Confirms conviction—big moves need big participation.
- Require Volume > SMA?: Yes/no toggle. Default off—only fires on above-average volume.
- Volume SMA Length: Periods for the average. Default 20—compares current bar to recent norm.
Risk / Exits Group: Protecting and Profiting Smartly
Dynamic stops based on volatility (ATR = Average True Range) keep things realistic.
- ATR Length: Bars for ATR calc. Default 14—measures recent "wiggle room" in price.
- ATR Stop Multiplier: How far below entry for stop-loss. Default 1.5x ATR—gives breathing space without huge risk
- Take-Profit R Multiple: Reward target as multiple of risk. Default 2.0 (2:1 ratio)—aims for twice your stop distance.
- Use Trailing Stop?: Yes/no for profit-locking trail. Default off—activates after entry.
- Trailing ATR Multiplier: Trail distance. Default 2.0x ATR—looser than initial stop to let winners run.
These inputs make the strategy plug-and-play: Defaults work out-of-box for trending stocks, but tweak RSI trigger/modes first for your style.
Always backtest changes—small shifts can flip a 40% win rate to 50%+!
Outputs (Visuals & Alerts):
- Plots: Blue EMA200 (trend line), Orange EMA20 (price filter), Green dashed entry price.
- Labels: Green "LONG" arrow with RSI value on entries.
- Background: Light green highlight on signal bars.
- Alerts: "FirstStrike Long Entry" fires on conditions (integrates with TradingView notifications).
Entry-Exit Logic
Entry (Long Only, One Per Day):
1. Daily Reset: New day clears trade gate and (if required) rearm status.
2. Filters Pass: Time/session OK + Close > EMA200 (trend) + Close > EMA20 (price) + Volume > SMA (if enabled) + Rearmed (dip below rearm if toggled).
3. Trigger Fires: RSI >= trigger via selected mode (e.g., crossover + grace window).
4. Execute: Enter long at close; set daily flag to block repeats.
Exit:
- Stop-Loss: Entry - (ATR * 1.5) – dynamic, vol-scaled.
- Take-Profit: Entry + (Risk * 2.0) – fixed RR.
- Trailing (Optional): Activates post-entry; trails at Close - (ATR * 2.0), updating on each bar for trend extension.
No shorts or hedging—pure long bias.
Formulae Used
- RSI: `ta.rsi(close, rsiLen)` – Standard 14-period momentum oscillator (0-100).
- EMAs: `ta.ema(close, len)` – Exponential moving averages for trend/price filters.
- ATR: `ta.atr(atrLen)` – True range average for stop sizing: Stop = Entry - (ATR * mult).
- Volume SMA: `ta.sma(volume, volLen)` – Simple average for relative strength filter.
- Grace Window: `bar_index - lastCrossBarIndex <= graceBars` – Counts bars since RSI crossover.
- Sustain: `ta.barssince(rsi < trigger) >= sustainBars` – Consecutive bars above threshold.
- Session Check: `time(timeframe.period, sessionStr) != 0` – TradingView's built-in session validator.
- Risk Distance: `riskPS = entry - stop; TP = entry + (riskPS * RR)` – Asymmetric reward calc.
FAQ
Q: Why only one trade/day?
A: Prevents revenge trading in volatile sessions . Backtests show it cuts losers by 20-30% vs. multi-entry bots.
Q: Does it work on all assets/timeframes?
A: Best for trending stocks/indices on 5m-1H. Test on crypto/forex with wider ATR mult (2.0+).
Q: How to optimize?
A: Use TradingView's optimizer on RSI trigger (40-60) and EMA fast (10-30). Aim for PF >1.0 over 1Y data.
Q: Alerts don't fire—why?
A: Ensure `alertcondition` is enabled in script settings. Test with "Any alert() function calls only."
Q: Trailing stop too loose?
A: Tune `trailMult` to 1.5 for tighter; it activates alongside fixed TP/SL for hybrid protection.
Glossary
- Grace Window: Post-RSI-cross period (bars) where entry still allowed if RSI holds trigger.
- Rearm Dip: Optional pullback below a low RSI level (e.g., 45) to "reset" eligibility after signals.
- Profit Factor (PF): Gross profit / gross loss—>1.0 means winners outweigh losers.
- R Multiple: Risk units (e.g., 2R = 2x stop distance as target).
- Sustain Bars: Consecutive bars RSI stays >= trigger for mode confirmation.
Recommendations
- Backtest First: Run on your symbols (/) over 6-12M; tweak RSI to 55 for +5% win rate.
- Live Use: Start paper trading with `useSession=true` and `useVol=true` to filter noise.
- Pairs Well With: Higher TF (daily) for bias; add ADX (>25) filter for strong trends (code snippet in prior chats).
- Risk Note: 10% sizing suits $100k+ accounts; scale down for smaller. Not financial advice—past performance ≠ future.
- Publish Tip: Add tags like "momentum," "RSI," "long-only" on TradingView for visibility.
Strategy Properties & Backtesting Setup
FirstStrike Long 200 is configured with conservative, realistic backtesting parameters to ensure reliable performance simulations. These settings prioritize capital preservation and transparency, making it suitable for both novice and experienced traders testing on stocks.
Initial Capital
$100,000 Standard starting equity for portfolio-level testing; scales well for retail accounts. Adjust lower (e.g., $10k) for smaller simulations.
Base Currency
Default (USD) Aligns with most US equities (e.g., NASDAQ symbols); auto-converts for other assets.
Order Size
1 (Quantity) Fixed share contracts for simplicity—e.g., buys 1 share per trade. For % of equity, switch to "Percent of Equity" in strategy code.
Pyramiding
0 Orders No additional entries on open positions; enforces strict one-trade-per-day discipline to avoid overexposure.
Commission
0.1% Realistic broker fee (e.g., Interactive Brokers tier); factors in round-trip costs without over-penalizing winners.
Verify Price for Limit Orders
0 Ticks No slippage delay on TPs—assumes ideal fills for historical accuracy.
Slippage
0 Ticks Zero assumed slippage for clean backtests; real-world trading may add 1-2 ticks on volatile opens.
These defaults yield low drawdowns (<0.3% max in tests) while capturing trend edges. For live trading, enable slippage (1-3 ticks) to mimic execution gaps. Always forward-test before deploying!
⚠️ Disclaimer
This script is provided for educational purposes only.
Past performance does not guarantee future results.
Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Trend-Following & Breakout — Index Quant Strategy (NASDAQ)📈 Trend-Following & Breakout — Index Quant Strategy (NASDAQ & S&P 500)
Type: Invite-only strategy
Markets: NASDAQ 100 (NAS100 / US100 / NQ), S&P 500 (US500 / SPX), and other major equity indices.
🧠 Concept: Continuous trend model combining EWMAC (trend-following) and Donchian (breakout) signals, scaled by forecast strength and portfolio risk.
⚙️ Execution: Rebalances only on decision-bar closes, using hysteresis and a no-trade band to reduce churn.
📊 Default bias: Long-only — aligned with equity index drift.
🧩 How it works
• EWMAC Trend: Difference between fast and slow EMAs, normalized by an EWMA of absolute returns.
• Donchian Breakout: Distance beyond a 200-bar channel (Strict mode) or relative z-score position within it.
• Forecast combination: Weighted sum of trend and breakout points, clamped to ± capPoints.
• Hysteresis: Prevents quick sign flips near zero forecast.
• Risk scaling: Maps forecast strength to position size using equity × risk budget × ATR-based stop distance.
• Rebalance: Executes only if the required quantity change exceeds the Δqty threshold; can optionally block increases on Sundays (for CFDs).
⚙️ Default parameters
Deployed on NQ / US100 / NAS100 on Daily Timeframe
• Decision timeframe = 360 min (other options from 1 min to 1 week).
• Trend (EWMAC): Fast = 64, Slow = 256, Vol Norm = 32, Weight = 0.8.
• Breakout (Donchian): Length = 200, Mode = Strict, Weight = 0.2.
• Forecast scaling: ptsPerSigma = 1.0, capPoints = 10.
• Risk % per rebalance = 4 % of equity.
• ATR stop: ATR(14) × 1.0.
• No-trade band (Δqty) = 4 units.
• Hysteresis = 2 forecast points.
• Bias = Long-only (Neutral / Long-bias 50 % optional).
• Skip Sunday increases = false (default).
📋 Backtest properties (documented)
• Initial capital = 100 000 USD.
• Commission = 0.20 % per trade.
• Pyramiding = 10.
• Calc on every tick = false.
• Point value = 1 (for NAS100 CFD).
• No financing or slippage modeled.
• If using CFDs, account for overnight funding.
• On futures (NQ / ES), carry is implicit.
📊 Typical behaviour
• Many small scratches, a few large winners.
• Performs best during multi-week / multi-month trends.
• Underperforms in tight or volatile ranges.
• Average hold ≈ 30 – 90 days in historical tests.
💡 Risk and performance guide (illustrative)
Sharpe ≈ 1.25
Sortino ≈ 1.10 – 1.30
Max drawdown ≈ –18 % to –25 %
Annual volatility ≈ 24 – 28 %
CAGR ≈ 50 – 60 % (at 4 % risk)
Edge ratio ≈ 5 (MFE / MAE)
Historical backtests only — past performance does not guarantee future results.
🌍 Intended markets and timeframes
Optimized for NASDAQ 100 and S&P 500; also effective on similar indices (DAX, Dow Jones, FTSE).
Best on Daily or higher timeframes.
Aligns with long-term index drift — suitable for long-bias systematic trend portfolios.
⚠️ Limitations
• Backtests exclude CFD funding costs.
• Trend models will have losing streaks in range-bound markets.
• Designed for experienced traders seeking systematic exposure.
🔑 Requesting access
Send a private TradingView message to with the text:
“Request access to Trend-Following & Breakout — Index Quant Strategy.”
Access is granted only on explicit request.
For further information, see my TradingView Signature.
🆕 Release notes (v1.0)
• Initial release (360 min TF): EWMAC 64/256 + Donchian 200 Strict.
• Risk 4 %, ATR × 1.0, Long-only bias, hysteresis 2 pts, Δqty ≥ 4.
• Developed for NASDAQ 100 and S&P 500 indices.
• Implements continuous risk-scaled positioning and no-trade band logic.
🧾 Originality statement
This strategy is original work built entirely from TradingView built-ins (EMA, ATR, Highest, Lowest).
It does not reuse open-source invite-only code.
Any future reuse of open scripts will be done with explicit permission and credit.
Universal Breakout Strategy [KedArc Quant]Description:
A flexible breakout framework where you can test different logics (Prev Day, Bollinger, Volume, ATR, EMA Trend, RSI Confirm, Candle Confirm, Time Filter) under one system.
Choose your breakout mode, and the strategy will handle entries, exits, and optional risk management (ATR stops, take-profits, daily loss guard, cooldowns).
An on-chart info table shows live mode values (like Prev High/Low, Bollinger levels, RSI, etc.) plus P&L stats for quick analysis.
Use it to compare which breakout style works best on your instrument and timeframe, whether intraday, swing, or positional trading
🔑 Why it’s useful
* Flexibility: Switch between breakout strategies without loading different indicators.
* Clarity: On-chart info table displays current mode, relevant indicator levels, and live strategy P&L stats.
* Testing efficiency: Quickly A/B test different breakout styles under the same backtest environment.
* Transparency: Every trade is rule-based and displayed with entry/exit markers.
🚀 How it helps traders
* Lets you experiment with breakout strategies quickly without loading multiple scripts.
* Helps identify which breakout method fits your instrument & timeframe.
* Gives clear on-chart visual + statistical feedback for confident decision-making.
⚙️ Input Configuration
* Breakout Mode → choose which strategy to test:
* *Prev Day* → breakouts of yesterday’s High/Low.
* *Bollinger* → Upper/Lower BB pierce.
* *Volume* → Breakout confirmed with volume above average.
* *ATR Stop* → Wide range breakout using ATR filter.
* *Time Filter* → Breakouts inside defined session hours.
* *EMA Trend* → Breakouts only in EMA fast > slow alignment.
* *RSI Confirm* → Breakouts with RSI confirmation (e.g. >55 for longs).
* *Candle Confirm* → Breakouts validated by bullish/bearish candle.
* Lookback / ATR / Bollinger inputs → adjust sensitivity.
* Intrabar mode → option to evaluate breakouts using bar highs/lows instead of closes.
* Table options → show/hide info table, show/hide P&L stats, choose corner placement.
📈 Entry & Exit Logic
* Entry → occurs when breakout condition of chosen mode is met.
* Exit → default exits via opposite signals or optional stop/target if enabled.
* Session filter → optional auto-flat at session end.
* P&L management → optional daily loss guard, cooldown between trades, and ATR-based stop/take profit.
❓ FAQ — Choosing the best setup
Q: Which strategy should I use for which chart?
* *Prev Day Breakouts*: Best on indices, FX, and liquid futures with strong daily levels.
* *Bollinger*: Works well in range-bound environments, or crypto pairs with volatility compression.
* *Volume*: Good on equities where breakout strength is tied to volume spikes.
* *ATR Stop*: Suits volatile instruments (commodities, crypto).
* *EMA Trend*: Useful in trending markets (stocks, indices).
* *RSI Confirm*: Adds momentum filter, better for swing trades.
* *Candle Confirm*: Ideal for scalpers needing visual confirmation.
* *Time Filter*: For intraday traders who want signals only in high-liquidity sessions.
Q: What timeframe should I use?
* Intraday traders → 5m to 15m (Time Filter, Candle Confirm).
* Swing traders → 1H to 4H (EMA Trend, RSI Confirm, ATR Stop).
* Position traders → Daily (Prev Day, Bollinger).
* Breakout
A trade entry condition triggered when price crosses above a resistance level (for longs) or below a support level (for shorts).
* Prev Day High/Low
Formula:
Prev High = High of (Day )
Prev Low = Low of (Day )
* Bollinger Bands
Formula:
Basis = SMA(Close, Length)
Upper Band = Basis + (Multiplier × StdDev(Close, Length))
Lower Band = Basis – (Multiplier × StdDev(Close, Length))
* Volume Confirmation
A breakout is only valid if:
Volume > SMA(Volume, Length)
* ATR (Average True Range)
Measures volatility.
Formula:
ATR = SMA(True Range, Length)
where True Range = max(High–Low, |High–Close |, |Low–Close |)
* EMA (Exponential Moving Average)
Weighted moving average giving more weight to recent prices.
Formula:
EMA = (Price × α) + (EMA × (1–α))
with α = 2 / (Length + 1)
* RSI (Relative Strength Index)
Momentum oscillator scaled 0–100.
Formula:
RSI = 100 – (100 / (1 + RS))
where RS = Avg(Gain, Length) ÷ Avg(Loss, Length)
* Candle Confirmation
Bullish candle: Close > Open AND Close > Close
Bearish candle: Close < Open AND Close < Close
Win Rate (%)
Formula:
Win Rate = (Winning Trades ÷ Total Trades) × 100
* Average Trade P&L
Formula:
Avg Trade = Net Profit ÷ Total Trades
📊 Performance Notes
The Universal Breakout Strategy is designed as a framework rather than a single-asset optimized system. Results will vary depending on the chart, timeframe, and asset chosen.
On the current defaults (15-minute, INR-denominated example), the backtest produced 132 trades over the selected period. This provides a statistically sufficient sample size.
Win rate (~35%) is relatively low, but this is balanced by a positive reward-to-risk ratio (~1.8). In practice, a lower win rate with larger wins versus smaller losses is sustainable.
The average P&L per trade is close to breakeven under default settings. This is expected, as the strategy is not tuned for a single symbol but offered as a universal breakout framework.
Commissions (0.1%) and slippage (1 tick) are included in the simulation, ensuring realistic conditions.
Risk management is conservative, with order sizing set at 1 unit per trade. This avoids over-leveraging and keeps exposure well under the 5-10% equity risk guideline.
👉 Traders are encouraged to:
Experiment with inputs such as ATR period, breakout length, or Bollinger parameters.
Test across different timeframes and instruments (equities, futures, forex, crypto) to find optimal setups.
Combine with filters (trend direction, volatility regimes, or volume conditions) for further refinement.
⚠️ Disclaimer This script is provided for educational purposes only.
Past performance does not guarantee future results.
Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Intraday Momentum for Volatile Stocks 29.09The strategy targets intraday momentum breakouts in volatile stocks when the broader market (Nifty) is in an uptrend. It enters long positions when stocks move significantly above their daily opening price with sufficient volume confirmation, then manages the trade using dynamic ATR-based stops and profit targets.
Entry Conditions
Price Momentum Filter: The stock must move at least 2.5% above its daily opening price, indicating strong bullish momentum. This percentage threshold is customizable and targets gap-up scenarios or strong intraday breakouts.
Volume Confirmation: Daily cumulative volume must exceed the 20-day average volume, ensuring institutional participation and genuine momentum. This prevents false breakouts on low volume.
Market Regime Filter: The Nifty index must be trading above its 50-day SMA, indicating a favorable market environment for momentum trades. This macro filter helps avoid trades during bearish market conditions.
Money Flow Index: MFI must be above 50, confirming buying pressure and positive money flow into the stock. This adds another layer of momentum confirmation.
Time Restriction: Trades are only initiated before 3:00 PM to ensure sufficient time for position management and avoid end-of-day volatility.
Exit Management
ATR Trailing Stop Loss: Uses a 3x ATR multiplier for dynamic stop-loss placement that trails higher highs, protecting profits while giving trades room to breathe. The trailing mechanism locks in gains as the stock moves favorably.
Profit Target: Set at 4x ATR above the entry price, providing a favorable risk-reward ratio based on the stock's volatility characteristics. This adaptive approach adjusts targets based on individual stock behavior.
Position Reset: Both stops and targets reset when not in a position, ensuring fresh calculations for each new trade.
Key Strengths
Volatility Adaptation: The ATR-based approach automatically adjusts risk parameters to match current market volatility levels. Higher volatility stocks get wider stops, while calmer stocks get tighter management.
Multi-Timeframe Filtering: Combines intraday price action with daily volume patterns and market regime analysis for robust signal generation.
Risk Management Focus: The strategy prioritizes capital preservation through systematic stop-loss placement and position sizing considerations.
Considerations for NSE Trading
This strategy appears well-suited for NSE intraday momentum trading, particularly for mid-cap and small-cap stocks that exhibit high volatility. The Nifty filter helps align trades with broader market sentiment, which is crucial in the Indian market context where sectoral and index movements strongly influence individual stocks.
The 2.5% threshold above open price is appropriate for volatile NSE stocks, though traders might consider adjusting this parameter based on the specific stocks being traded. The strategy's emphasis on volume confirmation is particularly valuable in the NSE environment where retail participation can create misleading price movements without institutional backin
DEMARED with ATR StopLoss & Dynamic Risk (v5)DEMARED with ATR StopLoss & Dynamic Risk
This strategy combines Double Exponential Moving Averages (DEMA) with EMA and Donchian midline filters to capture trend-following signals. A long entry is triggered when both DEMA pairs are aligned bullishly, price is above EMA, and above the Donchian midpoint. Exits occur on opposite signals or when the ATR-based stop loss is hit.
Key features:
ATR Stop Loss: dynamic stop based on ATR with user-defined multiplier.
Dynamic Risk Management: position size is automatically calculated based on account equity and risk percentage.
Visualization: plots stop loss, EMA, Donchian midline, and optional bar coloring.
Flexible Display: toggle all indicator visuals on/off with a single input.
The goal is to provide a trend-following system with controlled risk and adaptability across different markets and timeframes.
