Bandpass Filter Reversed Strategy BacktestThe related article is copyrighted material from
Stocks & Commodities Mar 2010
You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect...
Please, use it only for learning or paper trading. Do not for real trading.
Pesquisar nos scripts por "algo"
Average True Range Reversed Strategy Average True Range Trailing Stops Strategy, by Sylvain Vervoort
The related article is copyrighted material from Stocks & Commodities Jun 2009
Please, use it only for learning or paper trading. Do not for real trading.
3-Bar-Reversal-Pattern Strategy Backtest This startegy based on 3-day pattern reversal described in "Are Three-Bar
Patterns Reliable For Stocks" article by Thomas Bulkowski, presented in
January, 2000 issue of Stocks&Commodities magazine.
That pattern conforms to the following rules:
- It uses daily prices, not intraday or weekly prices;
- The middle day of the three-day pattern has the lowest low of the three days, with no ties allowed;
- The last day must have a close above the prior day's high, with no ties allowed;
- Each day must have a nonzero trading range.
Please, use it only for learning or paper trading. Do not for real trading.
2/20 Exponential Moving Average StrategyThis indicator plots 2/20 exponential moving average. For the Mov
Avg X 2/20 Indicator, the EMA bar will be painted when the Alert criteria is met.
Please, use it only for learning or paper trading. Do not for real trading.
Moving Average Crossover 0001The first strategy for my (also first) Everyday project. During the rest of 2016 I plan to create a new strategy everyday
and I give myself between 15 minutes and 2 hours to complete the idea.
The goal is to improve my knowledge of Pine Script, become a faster strategy coder, and experiment with different strategic trading ideas.
I'm new to strategies and algorithmic trading, and hoping to learn from the community, so any feedback, advice or corrections is very much welcome!
/pbergden
Vdubus Evolution v IVVdubus Evolution v IV
instasize.com
Strategy Idea: The TRIX Kinetic Grid (Institutional Grade)
The Philosophy
Most grid strategies fail for one simple reason: they are "dumb." They blindly buy as the market crashes or sell as it rallies, eventually hitting a wall.
The TRIX Kinetic Grid is different. It is a "smart" directional system that refuses to fight the trend. Instead of guessing tops and bottoms, it utilizes a highly sensitive, fast-tuned TRIX Momentum Filter to identify the immediate flow of institutional money. We only grid with the river, never against it.
Core Mechanics
1. Momentum-Locked Entries The strategy remains dormant until a specific Zero-Line Crossover event occurs on our proprietary TRIX oscillator. This ensures that the initial entry is always aligned with the breakdown or breakout of price action. We do not catch falling knives; we ride the falling knife down.
2. The "Rebel" Compounding Engine This is where the magic happens. The strategy utilizes a Step-Compounding Algorithm that dynamically adjusts trade size based on account equity milestones.
Geometric Growth Phase: In the early stages, the system reinvests profits aggressively, using a proprietary geometric multiplier to scale position sizes.
The "Stacker" Technology: To bypass standard broker lot limits, the system utilizes a custom "Order Stacking" engine. It automatically splits massive institutional-sized positions into smaller, execution-friendly tickets, allowing for unlimited theoretical scalability.
3. Kinetic Grid Recovery If the trend pauses or pulls back, the system deploys a directional grid sequence. Unlike standard Martingale systems that hope for a reversal, our grid assumes the trend is still valid and uses the pullbacks to accumulate a larger position at a better average price. The exit is triggered not just by price, but by a shift in the momentum vector itself.
Risk Management: The "S-Curve" Protocol
Infinite compounding is dangerous. To solve this, we engineered an Institutional Ceiling:
The Growth Phase: The account is allowed to compound exponentially to build capital rapidly.
The Income Phase: Once the trade size hits a pre-defined "Whale Cap" (e.g., 100 Lots), the system stops compounding and switches to a linear income generation model. This prevents liquidity slippage and protects the account from "Flash Crash" exposure at extreme leverages.
The Result
The result is a strategy that produces an Equity S-Curve: slow initial growth, followed by a vertical acceleration phase, and finally stabilizing into a high-yield income generator. It is designed not just to trade the market, but to dominate the mathematical probability of a trend.
Summary of Features
Trend Filter: Modified TRIX (Zero-Cross Validation).
Entry Logic: Directional Momentum Breakout.
Recovery: Adaptive Directional Averaging.
Money Management: Geometric Step-Compounding with "Whale" Capping.
Broker Compliance: Automated Ticket Splitting (Stacking).
=====================================================
This is very sensitive to Pairs traded & will require Tweaks.
it's a careful balance between the 'Trix' variables & ATR.... The results are insane. Enjoy !
I will not be held responsible for any losses of any kind when using this script.
Signal Algo - Elephant Edge Strategy🔶 Strategy Overview:
This strategy is designed for intraday trading and focuses on taking trades near important price reference areas instead of random market locations.
This strategy is designed to:
Take trades only near important price levels
Avoid random mid-market entries
Validate every trade using multiple confirmation filters
It combines the following core concepts:
Elephant Edge zones based on previous session volatility
Index & F&O strike price levels (psychological and liquidity-based levels)
Previous Day OHLC levels (important institutional reference prices)
The goal of this strategy is to allow trades only when price behavior is meaningful and occurs near key market reference areas, while filtering out low-quality signals. All filters are optional, allowing traders to customize the strategy according to their trading style, risk preference, and market conditions.
🔶 How to Use: Elephant Edge Support–Resistance
This strategy is based on the Elephant Edge Support–Resistance concept, where trades are taken only near important price zones instead of random market areas.
The image above shows how the strategy identifies Support Zones, Resistance Zones, and how trade entries and exits are generated.
🟩 Support Zones:
Shown as green areas. These are considered potential Buy zones.
A positive price reaction from these zones is required before a Buy entry is generated.
🟥 Resistance Zones:
Shown as red areas. These are considered potential Sell zones.
Price rejection from these zones is required before a Sell entry is generated.
Important:
The strategy does not blindly buy or sell at the zone. Entries are generated only after additional confirmation, such as: Candle structure validation, Directional filters, Optional, volume and time filters (if enabled)
Trade entries are generated only when price touches a Support or Resistance zone.
These zones represent areas where price is more likely to react, helping to avoid low-quality trades during sideways or random market movement.
Final Understanding:
This strategy is not about predicting the market. It is about reacting to price behavior at important levels and trading only when conditions are meaningful.
🔶 How to Use: Index Strike Price Support–Resistance
This concept is based on *Index & F&O Strike Price levels*, where trades are taken near important *round-number strike prices* (for example: every 50 or 100 points), instead of random price locations.
The image above shows how *strike prices act as natural Support and Resistance levels** in index trading.
🟩 Strike Price Support:
Strike levels below the current price act as potential Support zones. Price reaction from these levels is required before a Buy entry is generated.
🟥 Strike Price Resistance:
Strike levels above the current price act as potential Resistance zones. Price rejection from these levels is required before a Sell entry is generated.
Trade entries are generated only when price touches or reacts near a strike price level.
These levels represent *psychological and liquidity-based areas*, where price is more likely to pause, reverse, or react.
🔶 How to Use: Previous Day OHLC Levels
This concept is based on *Previous Day Open, High, Low, and Close (OHLC)* levels, which are widely used as *important market reference prices* by traders and institutions.
The image above shows how price reacts around Previous Day OHLC levels and how they act as natural *Support and Resistance areas** during intraday trading.
🟩 Previous Day Support Levels:
Previous Day Open, Low, or Close levels below the current price act as potential Support zones.
A positive price reaction from these levels is required before a Buy entry is generated.
🟥 Previous Day Resistance Levels:
Previous Day Open, High, or Close levels above the current price act as potential Resistance zones. Price rejection from these levels is required before a Sell entry is generated.
Trade entries are generated only when price touches or reacts near a Previous Day OHLC level.
These levels represent *high-interest price areas* where price is more likely to pause, reverse, or show strong reactions.
🔵 Strategy Setting Features Overview :
Trade Direction Controls : -
Buy Only When enabled: The strategy will generate only Buy trades All Sell signals are ignored Sell Only When enabled: The strategy will generate only Sell trades All Buy signals are ignored
Important Note If both Buy Only and Sell Only are enabled: The strategy can generate both Buy and Sell trades
Candle Direction & Color Filter : -
Available Options:
Both - Candle color is ignored Trades depend only on strategy logic
Trend - Buy → Green candles only. Sell → Red candles only
O-Trend - Buy → Red candles only. Sell → Green candles only
Continuous Buy / Sell Check : -
When enabled: Prevents repeated trades in the same direction Reduces over-trading during sideways markets Example: After a Buy trade, another Buy trade will not be taken immediately unless conditions reset.
Elephant Edge Percentile Levels : -
When enabled: Buy trades are allowed only near lower percentile levels Sell trades are allowed only near upper percentile levels
Why this matters: Percentile levels act as dynamic intraday support and resistance based on historical price movement.
Strike Price Level Filters : -
When enabled: Buy trades require price to touch lower strike zones Sell trades require price to touch upper strike zones
Why strike levels are important: Strike prices often act as psychological and liquidity zones, especially in index trading.
Previous Day OHLC Levels : -
When enabled: Draws Previous Day Open, High, Low, and Close on the chart Trades are allowed only when price touches any of these levels
Why Previous Day levels matter: These levels are widely watched by traders and institutions Price often reacts strongly near them Helps filter out low-probability trades
Stoploss Settings : -
Candle Touch: Stoploss triggers immediately when price touches the level
Candle Close: Stoploss triggers only after candle closes beyond the level
Stoploss Type Choose how stoploss distance is calculated:
Candle High / Low
Fixed Points
Percentage based
Trailing Stoploss : -
Trailing stoploss helps protect profits as price moves favorably. Trailing Mode
Points
Percentage
Trailing Activation Defines how much profit is required before trailing starts.
Candle Structure Filters : -
Candle Size : Filter Avoids trades on: Very small candles (low momentum) Extremely large candles (high risk)
Candle Body : Filter Ensures trades are taken only on candles with sufficient body strength.
Wick Filter : Filters out candles with unusually long wicks, which often indicate fake breakouts.
Hammer Candle Detection : -
Enable Hammer Pattern Detects hammer-type candles using wick-to-body ratios.
Useful for: Reversal-based setups near key levels
Entry & Stop Buffers : -
Buffers add small offsets to: Entry price Stoploss price
Purpose: Helps avoid false triggers caused by small price spikes or noise.
Volume-Based Validation : -
Use Volume Alert Validity Trades are allowed only after a high-volume candle appears.
Why volume matters: High volume confirms participation and interest.
Time & Trade Limits : -
Entry / Exit Time Restricts trades to specific market hours. Trade Count Limits Controls the maximum number of trades per session to avoid over-trading.
Quantity Calculation: -
Investment Amount Automatically calculates trade quantity based on capital amount.
Benefit: Helps maintain consistent risk across different instruments.
JSON Alert Output: -
Used for: Automation Broker integration This does not affect strategy logic.
⚠️ Disclaimer This strategy is provided for educational and research purposes only. Past performance does not guarantee future results. Users should test and manage risk independently.
Intraday Options/Futures Naked By TradeEarnIntraday Momentum Strategy (Futures & Options)
Description: This is a specialized Intraday Momentum system designed for Indian Indices Nifty, BankNifty, FinNifty, Sensex and Crude Oil. It is engineered to simplify the automation process by standardizing quantity management for single-leg execution via third-party bridges.
Originality & Utility: Unlike standard momentum strategies, this script solves the complexity of position sizing across different asset classes. It features a custom "Smart Quantity" engine that automatically differentiates between Futures (Raw Quantity) and Index Options (Lot Multipliers), allowing traders to switch instruments without manually calculating order sizes.
Key Features:
Dual Mode: Supports both Futures (Long/Short) and Options Buying (Long CE / Long PE).
Smart Quantity Logic:
Futures/Crude: Inputs are treated as raw quantity (e.g., 1 Lot = 1 Qty).
Index Options: Inputs are automatically multiplied by the standard market lot size (e.g., 1 Lot Nifty = 25 Qty).
Rupee-Based Risk: Target, Stop Loss, and Trailing SL are defined in absolute Rupees (INR) rather than percentages, offering precise P&L control.
Choppiness Filter: Combines RSI and ADX to filter out low-volatility ranges.
Entry Logic:
Buy Signal: Green Impulse Candle + RSI > 55 + ADX > 20
Sell Signal: Red Impulse Candle + RSI < 45 + ADX > 20
Strategy Settings & Backtesting:
Commission: The strategy is backtested with a commission of ₹20 per order to reflect realistic net P&L.
Slippage: Users should account for realistic slippage in live trading, which is not factored into the script's hard values.
⚠️ Disclaimer & Statutory Warning
Strictly for Educational & Backtesting Purposes
1. SEBI Registration Status: The author of this script/strategy is NOT a SEBI registered Research Analyst (RA) or Investment Advisor (IA). This tool is provided solely to assist in backtesting logic and educational analysis. It does not constitute a recommendation to buy, sell, or hold any securities.
2. Market Risk: Investment in the securities market, particularly in Derivatives (Futures & Options), is subject to market risks. You may lose your entire capital. Please read all related scheme documents carefully before investing.
3. No Guarantees: Past performance of this algorithm (as shown in backtest results) is not indicative of future performance. Market conditions change, and slippage or execution errors can occur during live trading.
4. User Responsibility: By using this script, you acknowledge that you are solely responsible for your own trading decisions and financial losses. You are advised to consult a SEBI-registered financial advisor before deploying real capital. This script is intended for manual or semi-automated analysis and may not be compliant with high-frequency trading (HFT) regulations.
Supertrend + EMA + RSI Algo (Low Risk High Accuracy)This is a trend-following + momentum confirmation strategy designed to reduce false signals and control loss.
Supertrend (10,3) → Identifies overall market direction (Buy in uptrend, Sell in downtrend)
EMA 50 & EMA 200 → Confirms strong trend and avoids sideways market
Buy only when EMA 50 is above EMA 200
Sell only when EMA 50 is below EMA 200
RSI (14) → Confirms momentum
Buy when RSI > 55 (strong bullish momentum)
Sell when RSI < 45 (strong bearish momentum)
---
🔹 Entry Logic
BUY: Market is in uptrend + strong momentum
SELL: Market is in downtrend + strong bearish pressure
---
🔹 Risk Management (Most Important)
Stop Loss: Based on ATR (adapts to volatility)
Target: Fixed Risk-Reward ratio (example: 1 : 2.5)
This keeps loss small and profits larger
---
🔹 Best Use Case
Works best in trending markets
Ideal timeframes: 15m, 1h, 4h
Suitable for crypto futures & swing trading
Beginner-friendly if used with low leverage
SaLaSaLa V6 5m By Aleem MubarakThis strategy uses RSI-MA, Multi-timeframe crossing of RSI, Multi-timeframe crossing of MA and the Crossing of RSI with MA itself on the baseline timeframe (5 minutes), while the alignment timeframes are 15m, 1hr, 4hr.
It uses Bolinger Bands to filter out false breakouts and uses an adjustable step-wise trailing as the exit conditions, so for this reason the strategy has a trailing take profit.
This strategy works best on 5 minutes timeframe for scalpers.
You may find the backtesting result using the tester option on trading view.
Just Integrate your broker on Trading View and make the strategy pick trades automatically and watch your investment grow.
Credit to
Lux Algo, Techno Bloom for their indicators which was used as vision during checks
Kairos Bands [v1.1]Overview
The Kairos Bands Strategy is a highly modular trading system designed to identify high probability entry points based on volatility exhaustion and momentum shifts... It is built with a proprietary core algorithm that detects when price has extended too far from its mean, but it is wrapped in a Confluence Cloud that allows the user to filter these signals through nine different secondary indicators...
This is not just a static strategy... It is a framework that allows you to build your own edge by toggling specific filters on and off to match current market conditions...
1... The Chameleon Feature (Trend or Reversal)
One of the most powerful features of Kairos Bands is the Inverse Trades logic...
Reversal Mode (Default): By default, the strategy looks for price exhaustion... It buys when the market is oversold and sells when the market is overbought... This is ideal for ranging markets or catching tops and bottoms...
Trend Following Mode (Inversed): By checking the Inverse Trades box in the settings, the logic flips completely... A Buy signal becomes a Sell and vice versa... This transforms the strategy into a breakout or trend following system, entering trades in the direction of the momentum rather than against it...
2... The Confluence Cloud
While the core trigger is based on proprietary volatility calculations, the user has full control over how strictly those trades are filtered... You can toggle any of the following 9 momentum filters independently for both Long and Short setups...
RSI (Relative Strength Index)
Stochastic Oscillator
CCI (Commodity Channel Index)
Williams %R
MFI (Money Flow Index)
CMO (Chande Momentum Oscillator)
Fisher Transform
Ultimate Oscillator
ROC (Rate of Change)
For example, you can require RSI and MFI to agree with the main signal for Longs, but only require Stochastic for Shorts... This allows for granular tuning...
3... Trend Bias & Time Management
To further refine entries, the strategy includes:
EMA Trend Filter: An optional dual EMA system (Fast vs Slow) that forces the strategy to only trade in the direction of the dominant trend...
Precision Time Filtering: You can define exact start and end times (down to the minute) for entries...
No Trade Zone (NTZ): A specific time window where the strategy is forbidden from holding positions... If a trade is open when the NTZ begins, it is immediately force closed to avoid volatility events or market closes...
4... Risk Management
The strategy moves away from vague percentage based stops and uses precision point based targeting...
Fixed Points: Set your Take Profit and Stop Loss in exact price points...
Signal Skipping: An optional feature to cool down the strategy after a trade closes, forcing it to skip a set number of subsequent signals to avoid over trading...
5... Professional Analytics Dashboard
The visual overlay provides a detailed Heads Up Display (HUD) containing institutional grade metrics...
Strategy Grade: An automatic A through F grading system based on the Win Rate Differential (how much better the strategy performs compared to a breakeven coin flip)...
Streak Analysis: Tracks the maximum and average consecutive wins and losses to help you understand the psychological drawdown risk...
Rolling PnL: A secondary dashboard tracks your hypothetical Net PnL over the last 7 trading days and the last 12 months, giving you a clear view of short term and long term performance...
Simple Candle Strategy# Candle Pattern Strategy - Pine Script V6
## Overview
A TradingView trading strategy script (Pine Script V6) that identifies candlestick patterns over a configurable lookback period and generates trading signals based on pattern recognition rules.
## Strategy Logic
The strategy analyzes the most recent N candlesticks (default: 5) and classifies their patterns into three categories, then generates buy/sell signals based on specific pattern combinations.
### Candlestick Pattern Classification
Each candlestick is classified as one of three types:
| Pattern | Definition | Formula |
|---------|-----------|---------|
| **Close at High** | Close price near the highest price of the candle | `(high - close) / (high - low) ≤ (1 - threshold)` |
| **Close at Low** | Close price near the lowest price of the candle | `(close - low) / (high - low) ≤ (1 - threshold)` |
| **Doji** | Opening and closing prices very close; long upper/lower wicks | `abs(close - open) / (high - low) ≤ threshold` |
### Trading Rules
| Condition | Action | Signal |
|-----------|--------|--------|
| Number of Doji candles ≥ 3 | **SKIP** - Market is too chaotic | No trade |
| "Close at High" count ≥ 2 + Last candle closes at high | **LONG** - Bullish confirmation | Buy Signal |
| "Close at Low" count ≥ 2 + Last candle closes at low | **SHORT** - Bearish confirmation | Sell Signal |
## Configuration Parameters
All parameters are adjustable in TradingView's "Settings/Inputs" tab:
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| **K-line Lookback Period** | 5 | 3-20 | Number of candlesticks to analyze |
| **Doji Threshold** | 0.1 | 0.0-1.0 | Body size / Total range ratio for doji identification |
| **Doji Count Limit** | 3 | 1-10 | Number of dojis that triggers skip signal |
| **Close at High Proximity** | 0.9 | 0.5-1.0 | Required proximity to highest price (0.9 = 90%) |
| **Close at Low Proximity** | 0.9 | 0.5-1.0 | Required proximity to lowest price (0.9 = 90%) |
### Parameter Tuning Guide
#### Proximity Thresholds (Close at High/Low)
- **0.95 or higher**: Stricter - only very strong candles qualify
- **0.90 (default)**: Balanced - good for most market conditions
- **0.80 or lower**: Looser - catches more patterns, higher false signals
#### Doji Threshold
- **0.05-0.10**: Strict doji identification
- **0.10-0.15**: Standard doji detection
- **0.15+**: Includes near-doji patterns
#### Lookback Period
- **3-5 bars**: Fast, sensitive to recent patterns
- **5-10 bars**: Balanced approach
- **10-20 bars**: Slower, filters out noise
## Visual Indicators
### Chart Markers
- **Green Up Arrow** ▲: Long entry signal triggered
- **Red Down Arrow** ▼: Short entry signal triggered
- **Gray X**: Skip signal (too many dojis detected)
### Statistics Table
Located at top-right corner, displays real-time pattern counts:
- **Close at High**: Count of candles closing near the high
- **Close at Low**: Count of candles closing near the low
- **Doji**: Count of doji/near-doji patterns
### Signal Labels
- Green label: "✓ Long condition met" - below entry bar
- Red label: "✓ Short condition met" - above entry bar
- Gray label: "⊠ Too many dojis, skip" - trade skipped
## Risk Management
### Exit Strategy
The strategy includes built-in exit rules based on ATR (Average True Range):
- **Stop Loss**: ATR × 2
- **Take Profit**: ATR × 3
Example: If ATR is $10, stop loss is at -$20 and take profit is at +$30
### Position Sizing
Default: 100% of equity per trade (adjustable in strategy properties)
**Recommendation**: Reduce to 10-25% of equity for safer capital allocation
## How to Use
### 1. Copy the Script
1. Open TradingView
2. Go to Pine Script Editor
3. Create a new indicator
4. Copy the entire `candle_pattern_strategy.pine` content
5. Click "Add to Chart"
### 2. Apply to Chart
- Select your preferred timeframe (1m, 5m, 15m, 1h, 4h, 1d)
- Choose a trading symbol (stocks, forex, crypto, etc.)
- The strategy will generate signals on all historical bars and in real-time
### 3. Configure Parameters
1. Right-click the strategy on chart → "Settings"
2. Adjust parameters in the "Inputs" tab
3. Strategy will recalculate automatically
4. Backtest results appear in the Strategy Tester panel
### 4. Backtesting
1. Click "Strategy Tester" (bottom panel)
2. Set date range for historical testing
3. Review performance metrics:
- Win rate
- Profit factor
- Drawdown
- Total returns
## Key Features
✅ **Execution Model Compliant** - Follows official Pine Script V6 standards
✅ **Global Scope** - All historical references in global scope for consistency
✅ **Adjustable Sensitivity** - Fine-tune all pattern detection thresholds
✅ **Real-time Updates** - Works on both historical and real-time bars
✅ **Visual Feedback** - Clear signals with labels and statistics table
✅ **Risk Management** - Built-in ATR-based stop loss and take profit
✅ **No Repainting** - Signals remain consistent after bar closes
## Important Notes
### Before Trading Live
1. **Backtest thoroughly**: Test on at least 6-12 months of historical data
2. **Paper trading first**: Practice with simulated trades
3. **Optimize parameters**: Find the best settings for your trading instrument
4. **Manage risk**: Never risk more than 1-2% per trade
5. **Monitor performance**: Review trades regularly and adjust as needed
### Market Conditions
The strategy works best in:
- Trending markets with clear directional bias
- Range-bound markets with defined support/resistance
- Markets with moderate volatility
The strategy may underperform in:
- Highly choppy/noisy markets (many false signals)
- Markets with gaps or overnight gaps
- Low liquidity periods
### Limitations
- Works on chart timeframes only (not intrabar analysis)
- Requires at least 5 bars of history (configurable)
- Fixed exit rules may not suit all trading styles
- No trend filtering (will trade both directions)
## Technical Details
### Historical Buffer Management
The strategy declares maximum bars back to ensure enough historical data:
```pine
max_bars_back(close, 20)
max_bars_back(open, 20)
max_bars_back(high, 20)
max_bars_back(low, 20)
```
This prevents runtime errors when accessing historical candlestick data.
### Pattern Detection Algorithm
```
For each bar in lookback period:
1. Calculate (high - close) / (high - low) → close_to_high_ratio
2. If close_to_high_ratio ≤ (1 - threshold) → count as "Close at High"
3. Calculate (close - low) / (high - low) → close_to_low_ratio
4. If close_to_low_ratio ≤ (1 - threshold) → count as "Close at Low"
5. Calculate abs(close - open) / (high - low) → body_ratio
6. If body_ratio ≤ doji_threshold → count as "Doji"
Signal Generation:
7. If doji_count ≥ cross_count_limit → SKIP_SIGNAL
8. If close_at_high_count ≥ 2 AND last_close_at_high → LONG_SIGNAL
9. If close_at_low_count ≥ 2 AND last_close_at_low → SHORT_SIGNAL
```
## Example Scenarios
### Scenario 1: Bullish Signal
```
Last 5 bars pattern:
Bar 1: Closes at high (95%) ✓
Bar 2: Closes at high (92%) ✓
Bar 3: Closes at mid (50%)
Bar 4: Closes at low (10%)
Bar 5: Closes at high (96%) ✓ (last bar)
Result:
- Close at high count: 3 (≥ 2) ✓
- Last closes at high: ✓
- Doji count: 0 (< 3) ✓
→ LONG SIGNAL ✓
```
### Scenario 2: Skip Signal
```
Last 5 bars pattern:
Bar 1: Doji pattern ✓
Bar 2: Doji pattern ✓
Bar 3: Closes at mid
Bar 4: Doji pattern ✓
Bar 5: Closes at high
Result:
- Doji count: 3 (≥ 3)
→ SKIP SIGNAL - Market too chaotic
```
## Performance Optimization
### Tips for Better Results
1. **Use Higher Timeframes**: 15m or higher reduces false signals
2. **Combine with Indicators**: Add volume or trend filters
3. **Seasonal Adjustment**: Different parameters for different seasons
4. **Instrument Selection**: Test on liquid, high-volume instruments
5. **Regular Rebalancing**: Adjust parameters quarterly based on performance
## Troubleshooting
### No Signals Generated
- Check if lookback period is too large
- Verify proximity thresholds aren't too strict (try 0.85 instead of 0.95)
- Ensure doji limit allows for trading (try 4-5 instead of 3)
### Too Many False Signals
- Increase proximity thresholds to 0.95+
- Reduce lookback period to 3-4 bars
- Increase doji limit to 3-4
- Test on higher timeframes
### Strategy Tester Shows Losses
- Review individual trades to identify patterns
- Adjust stop loss and take profit ratios
- Change lookback period and thresholds
- Test on different market conditions
## References
- (www.tradingview.com)
- (www.tradingview.com)
- (www.investopedia.com)
- (www.investopedia.com)
## Disclaimer
**This strategy is provided for educational and research purposes only.**
- Not financial advice
- Past performance does not guarantee future results
- Always conduct thorough backtesting before live trading
- Trading involves significant risk of loss
- Use proper risk management and position sizing
## License
Created: December 15, 2025
Version: 1.0
---
**For updates and modifications, refer to the accompanying documentation files.**
ORB Strategy - EnhancedThis algo is for setting and forgetting ORB. Does require an understanding of how to tweak trading factors
Strategy with VWRSI and SAVE orders Long or Short or BothVWRSI is very powerful indicator coded by Algo Alpha and I Make Strategy of it
But there is no stop loss instate the Strategy is using Save orders to minimize the market manipulation
The best to used is side way market with long and short enable
The Strategy trigger long or short market order -
long - ta.crossover(rsi, 20)
short - ta.crossunder(rsi, 80)
And if is not take profit from the first trade start with the save trades until will do
the sum of the first order - base order and the save order can be adjust from the user
as well the deviation from the first order
IF some user have questions let me know
AI ALGO [Ganesh]Core Strategy Components\
1. EMA (Exponential Moving Average) SystemThe strategy uses three EMAs to identify trend direction:
EMA 48 (longer-term trend)
EMA 2 (short-term momentum)
EMA 21 (medium-term trend)
How it works:
Bullish trend: When price is above EMA 21 (green cloud)
Bearish trend: When price is below EMA 21 (red cloud)
EMA Cloud: The area between EMA 2 and EMA 48/21 provides visual trend confirmation
Optional higher timeframe (HTF) analysis for multi-timeframe confirmation
2. DEMA ATR (Double EMA + Average True Range)
This is a dynamic support/resistance indicator that adapts to volatility:Components:
DEMA (Double Exponential Moving Average): Smooths price action with less lag
ATR Bands: Creates upper and lower bands based on volatility (ATR × 1.7 factor)
Signal Generation:
Green line: Uptrend (DEMA ATR rising)
Red line: Downtrend (DEMA ATR falling)
Acts as a trailing stop-loss level that adjusts with market volatility
3. Smart Trail System (Fibonacci-Based)
An advanced trailing stop system using modified true range calculations:Key Features:
Calculates true range using Wilder's smoothing method
Creates Fibonacci retracement levels (61.8%, 78.6%, 88.6%) from the trail line
Adaptive stop-loss: Adjusts based on ATR factor (4.2) and smoothing (4)
Trend Detection:
Bullish: Price > Trailing line (blue zones)
Bearish: Price < Trailing line (red zones)
The Fibonacci zones show potential support/resistance areas
4. ZigZag Indicator Identifies significant swing highs and lows:
Length parameter: 13 (sensitivity control)
Labels: Higher Highs (HH), Lower Lows (LL), etc.
Helps identify trend reversals and key pivot points
5. Support & Resistance Levels
Strength-based S/R: Identifies horizontal support/resistance zones
Zone width: Adjustable percentage-based zones
High/Low zones: Marks significant price levels
Trading LogicEntry Conditions (Implied)The strategy likely enters trades when:Long Entry:
Price crosses above DEMA ATR (green)
Price is above EMA 21 (bullish EMA cloud)
Smart Trail confirms uptrend
Price bounces from Fibonacci support levels
Short Entry:
Price crosses below DEMA ATR (red)
Price is below EMA 21 (bearish EMA cloud)
Smart Trail confirms downtrend
Price rejects from Fibonacci resistance levels
Exit/Stop-Loss Strategy
Trailing stops: Using Smart Trail Fibonacci levels
Dynamic stops: DEMA ATR line acts as a moving stop-loss
Risk management: Position sizing at 50% of equity per trade
Dashboard Features1. Weekly Performance Table
Tracks trades per day of the week
Shows win/loss statistics
Calculates win rate percentage
2. Monthly Performance Table
Monthly P&L breakdown
Yearly performance summary
Color-coded returns (green = profit, red = loss)
Strategy Parameters
Initial Capital: $5,000
Commission: 0.02% per trade
Position Size: 50% of equity
Pyramiding: Disabled (no adding to positions)
Calculation: On bar close (not tick-by-tick)
Visual Elements
EMA clouds: Green (bullish) / Red (bearish)
DEMA ATR line: Dynamic support/resistance
Smart Trail zones: Fibonacci-based colored bands
ZigZag lines: Swing high/low connections
S/R zones: Horizontal support/resistance areas
Strategy Philosophy
This is a trend-following strategy with dynamic risk management that:
Uses multiple timeframes for confirmation
Adapts to volatility through ATR-based indicators
Provides clear visual cues for trend direction
Includes comprehensive performance tracking
Combines momentum (EMAs) with volatility (ATR) for robust signals
The strategy works best in trending markets and uses the Fibonacci trail system to maximize profits while protecting against reversals with adaptive stop-losses.
Sniper Perfect: Institutional Flow & Adaptive Risk ProtocolOverview Sniper Perfect is an advanced trend-following system designed to filter out "fakeouts" and institutional traps using a multi-layered verification protocol. It combines Volume Flow (VFI), Volatility (CHOP), and Momentum (RSI) to ensure entry only occurs in high-probability setups.
Key Features
🛡️ The Triple Filter Protocol
Strict Choppiness Filter: Uses a strict CHOP threshold (40). If the market is moving sideways, the algorithm locks all new entries to prevent whipsaws.
RSI Extremes Protection: Prevents FOMO buying at tops (Overbought > 70) and panic selling at bottoms (Oversold < 30).
Conflict Zone Detection: Identifies divergence between Price action and Money Flow. If price rises but institutional money exits, the background turns Gray and trading is disabled.
🔒 Adaptive Risk Management
Heat-Breathing Stop Loss: The SL distance adjusts dynamically based on market Volume and Volatility ("Heat").
Ratchet Mechanism: A mechanical lock ensures the Stop Loss can ONLY move in the direction of profit. It never loosens, guaranteeing that paper profits are protected.
📊 Live Dashboard A real-time panel in the bottom-right corner displays:
VFI Flow: Positive/Negative money flow.
Market Status: Active vs. Locked (Choppy).
RSI Status: Neutral, Overbought, or Oversold.
Visual Guide
🟢 Lime Zone: Clean Bullish Trend.
🔴 Red Zone: Clean Bearish Trend.
🟠 Orange Zone: High Choppiness (Stay Out).
🟣 'X' Marker: Exact price where the Stop Loss was triggered.
Disclaimer: For educational and research purposes only. Always manage your risk.
Sniper PerfectOverview Sniper Perfect is an advanced trend-following system designed to filter out "fakeouts" and institutional traps using a multi-layered verification protocol. It combines Volume Flow (VFI), Volatility (CHOP), and Momentum (RSI) to ensure entry only occurs in high-probability setups.
Key Features
🛡️ The Triple Filter Protocol
Strict Choppiness Filter: Uses a strict CHOP threshold (40). If the market is moving sideways, the algorithm locks all new entries to prevent whipsaws.
RSI Extremes Protection: Prevents FOMO buying at tops (Overbought > 70) and panic selling at bottoms (Oversold < 30).
Conflict Zone Detection: Identifies divergence between Price action and Money Flow. If price rises but institutional money exits, the background turns Gray and trading is disabled.
🔒 Adaptive Risk Management
Heat-Breathing Stop Loss: The SL distance adjusts dynamically based on market Volume and Volatility ("Heat").
Ratchet Mechanism: A mechanical lock ensures the Stop Loss can ONLY move in the direction of profit. It never loosens, guaranteeing that paper profits are protected.
📊 Live Dashboard A real-time panel in the bottom-right corner displays:
VFI Flow: Positive/Negative money flow.
Market Status: Active vs. Locked (Choppy).
RSI Status: Neutral, Overbought, or Oversold.
Visual Guide
🟢 Lime Zone: Clean Bullish Trend.
🔴 Red Zone: Clean Bearish Trend.
🟠 Orange Zone: High Choppiness (Stay Out).
🟣 'X' Marker: Exact price where the Stop Loss was triggered.
Disclaimer: For educational and research purposes only. Always manage your risk.
The Truth Sniper: Breathing Edition**Overview**
This is a highly advanced trend-following strategy designed to filter out market noise ("Fakeouts") and manage risk using a dynamic "Breathing Ratchet" mechanism. It combines traditional trend analysis with institutional money flow logic to identify the true market direction.
**Key Features**
**1. The Conflict Zone (Gray Zone Filter)**
Most strategies fail during low-volume accumulation or distribution phases. This algorithm introduces a "Conflict Zone" logic:
* **True Rally (Green):** Price is above EMA50 AND Money Flow (VFI) is positive.
* **True Drop (Red):** Price is below EMA50 AND Money Flow (VFI) is negative.
* **Conflict (Gray Background):** When Price and Money Flow disagree (e.g., Price rising on negative volume), the background turns Gray. **Trading is disabled** in these zones to avoid bull/bear traps.
**2. Breathing Stop-Loss Mechanism (Volatility Adjusted)**
The Stop Loss isn't static. It "breathes" based on market heat (Volume/RSI):
* **High Heat (High Volatility):** The SL loosens its grip, moving towards the bottom of the Fibonacci zone to allow price fluctuation without premature exits.
* **Low Heat (Low Volatility):** The SL tightens aggressively towards the price to lock in profits during slow momentum.
**3. The Ratchet Lock (Slippage Prevention)**
To ensure maximum profit retention, the "Breathing" mechanism is governed by a **Ratchet Logic**:
* **For Longs:** The Stop Loss can ONLY move UP. If the "Breathing" calculation suggests lowering the stop (due to increased volatility), the Ratchet blocks it, keeping the SL at the highest historical level.
* **For Shorts:** The Stop Loss can ONLY move DOWN.
**4. Fibonacci Exit Zones**
Exits are calculated based on a 60-day dynamic High/Low lookback, creating "Zones" (0-23.6%, 23.6-38.2%, etc.) that the price must conquer. The SL trails these zones mechanically.
**Visual Guide**
* **Lime/Red Background:** Active Trade Zone (Confirmed Trend).
* **Gray Background:** Conflict Zone (Stay Out / Hold).
* **Purple 'X':** The exact price level where the Stop Loss was hit (Fixed marker).
* **Stepline:** The active Stop Loss level (Visible only during open trades).
**Disclaimer**
This script is for educational and research purposes only. Always manage your risk.
YCGH Ultimate Stocks Breakout Sniper📈 YCGH Ultimate Stocks Breakout Sniper
Overview
A sophisticated momentum-based breakout strategy designed to capture high-probability directional moves during volatility expansion phases. This system identifies breakout opportunities when price decisively breaks through established ranges, combining multiple technical filters to enhance signal quality and minimize false breakouts.
🎯 Strategy Features
Core Methodology:
Proprietary breakout detection algorithm
Multi-layered confirmation filters for signal validation
Adaptive trailing stops for profit protection
Systematic risk management with daily drawdown controls
Key Components:
✅ Volatility Expansion Filter - Only trades during periods of elevated market volatility to avoid choppy, range-bound conditions
✅ Optional Trend Alignment - Configurable trend filter (EMA/SMA/RMA/WMA) to align entries with broader market direction
✅ ROC Momentum Filter - Daily rate-of-change filter to capture strong momentum days (optional)
✅ Comprehensive Exit Strategy:
Fixed stop-loss (default 2%)
Take-profit targets (default 9%)
Dynamic trailing stops (2% activation, 0.5% offset)
✅ Flexible Direction Trading:
Auto-detect mode: Long+Short for perpetuals, Long-only for spot/equities
Manual override options available
Suitable for both crypto and stock markets
📊 Market Applicability
Optimized for: Cryptocurrency perpetual contracts and equity markets (1H-4H timeframes)
Also effective on: Futures and high-liquidity spot markets
The strategy adapts to different market regimes through configurable volatility and trend filters, making it versatile across various trading instruments and timeframes.
⚙️ Risk Management
Position Sizing: Percentage-based allocation with leverage support
Intraday Loss Limit: Maximum 10% drawdown protection (configurable)
Realistic Cost Modeling: 0.025% commission + 1 tick slippage
No Pyramiding: Single position management for controlled risk exposure
📈 Performance Visualization
Includes a comprehensive monthly returns table displaying:
Year-by-year performance breakdown
Monthly profit/loss percentages
Visual color-coding (green for profits, red for losses)
Clean, modern design with transparent styling
🔐 Access & Pricing
This is a PROTECTED, invite-only strategy.
The source code is not open-source and requires paid access for usage.
How to Get Access:
📧 Email: brijamohanjha@gmail.com
Include in your email:
Your TradingView username
Markets/assets you plan to trade
Preferred timeframe
What You'll Receive:
Full strategy access with invite-only permissions
Complete parameter documentation
Setup and optimization guidance
Implementation support
⚠️ Important Disclosures
Backtesting Parameters:
Commission: 0.025% per trade
Slippage: 1 tick
Results reflect realistic trading conditions
Risk Warning:
Past performance does not guarantee future results. This strategy involves substantial risk and may not be suitable for all investors. Users should thoroughly understand the risks and customize parameters based on their risk tolerance and market conditions.
📞 Contact for Access
Email: brijamohanjha@gmail.com
For questions about functionality, pricing, optimization, or market-specific settings, please reach out via email.
Note: This is a premium, paid strategy. Access is granted manually after consultation and payment confirmation.
MACD + 200 EMA + Chandelier + ML OptimizerNeural MACD Trend Strategy
This script modernizes a classic high-probability trend strategy by integrating Machine Learning and dynamic risk management. It is built on the foundation of the 9, 21, and 200 EMAs with MACD execution, designed to automate the workflow of trend traders.
Key Features:
1. Core Logic: Trades are executed on MACD crosses, but only when aligned with the long-term trend (200 EMA). An optional setting enforces a simultaneous 9/21 EMA cross for high-momentum confirmation.
2. Machine Learning Optimizer: A K-Nearest Neighbors (KNN) algorithm runs in the background, analyzing RSI, CCI, and ROC. It compares the current setup to the last 1,000 bars of history; if the historical probability is negative, the ML blocks the trade to save capital.
3. Range Filter: Uses ADX to detect choppy markets. If the market is ranging (ADX < 20), the background turns gray and trading is paused.
4. Advanced Exits: Automatically calculates Stop Losses based on recent Swing Highs/Lows. Includes a Chandelier Exit (ATR Trailing Stop) to lock in profits dynamically. You can choose between fixed Reward-to-Risk targets (e.g., 1.5x) or disable targets to ride the trend until the trailing stop is hit.
Triple Screen Scalper [Pro] + Dynamic Risk Engine + Smart DCA🚀 Strategy Concept
This algorithm utilizes a Triple Screen methodology to filter market noise and align trades with the path of least resistance. Instead of relying on a single timeframe, it analyzes market structure across three distinct "horizons" to ensure high-probability execution:
The Tide (Long-Term): Analyzes the dominant directional flow and market bias on higher timeframes.
The Wave (Medium-Term): Measures the strength of the current momentum and pauses trading during weak or "choppy" market phases.
The Ripple (Short-Term): Pinpoints precise entry zones by detecting over-extended price action and mean-reversion opportunities within the larger trend.
The system is fortified with a Smart DCA (Dollar Cost Averaging) Engine that adapts to volatility. It does not blindly add to positions; it calculates "Risk Room" and "Trend Stability" before every additional entry, ensuring capital is deployed efficiently rather than recklessly.
⚙️ Configuration Guide (Variable Explanations)
💰 Position & Leverage
Trade Direction: Choose between Long, Short, or Auto. In "Auto," the system trades both directions based on the dominant trend.
Target Entry Leverage (x): The desired leverage for your initial entry.
Base Order Size (% of Equity): How much of your account balance is allocated to the very first trade of a sequence.
DCA Size Multiplier: Controls how much larger each subsequent order is compared to the previous one. A value of 1.0 means flat sizing; values above 1.0 increase the size of recovery orders.
KILL SWITCH: Max Effective Lev: A safety ceiling. If your total position's effective leverage exceeds this value, the strategy will force-close the position to prevent liquidation.
🚀 Profit Settings (Dynamic Exits)
Use Dynamic Profit?: If enabled, the take-profit target acts like a breathing lung—expanding during high volatility (to catch bigger moves) and contracting during quiet periods.
Gain Volatility Length: The lookback period used to measure recent market volatility.
Gain Multiplier: Scales the profit target. Higher numbers require a larger price move to hit profit; lower numbers take profit sooner.
Minimum Profit Floor %: A hard limit ensuring the target never drops below this percentage, even in extremely low-volatility markets.
📉 Trend & Momentum Filters
Trend Strength Threshold: Defines the minimum "velocity" required to trade. This filters out flat, ranging markets where trends are not established.
Momentum Sensitivity (K/D/Smooth): These variables tune the sensitivity of the entry trigger.
Lower numbers = Faster entries (more trades, potentially more noise).
Higher numbers = Slower, more confirmed entries.
Overbought / Oversold Levels: The specific zones (0-100) where price is considered statistically over-extended, triggering a reversal signal.
🛡️ Risk & DCA Settings
Enable Hard Stop Loss: A traditional safety stop based on a fixed percentage.
Max DCA Orders: The maximum number of times the strategy is allowed to "average down" on a position.
Require Trend for DCA?: If TRUE, the strategy will only add to a losing position if the broader market trend is still valid. If the trend breaks, it stops buying.
DCA Volatility Length/Multiplier: Controls the spacing between buy orders.
High Multiplier = Orders are spread far apart (safer for crashes).
Low Multiplier = Orders are closer together (faster recovery in normal dips).
Risk Scaling: A unique feature that pushes DCA orders further away as your leverage increases, protecting you from adding too much risk too quickly.
Base DCA %: The minimum distance required between orders, regardless of volatility.
⏱️ Timers & Cooldowns
Fast / Slow Cooldown: The minimum time (in seconds) the strategy must wait between realizing a profit and opening a new trade. This prevents "revenge trading" or entering twice on the same candle.
Position Cooldown: A specific timer applied after a large position is closed to let the market settle.
🎯 Daily S/R Targets
Enable Daily S/R: If enabled, the strategy will attempt to "snipe" exits at calculated daily support and resistance pivots.
Proximity Threshold: How close the price must get to a daily level to trigger an early exit.
⚠️ Risk Disclaimer
This script is an automated tool for analysis and execution assistance. It employs averaging techniques (DCA) which involve calculated risk. While the "Kill Switch" and "Risk Scaling" features are designed to mitigate exposure, users should thoroughly backtest and understand the "Multiplier" settings before deploying real capital. Past market structure is not a guarantee of future performance.
ONLY FOR EUR/USD : EMA9/EMA20 + RSI + MACD + Fibonacci (v6) FOR PAIRS WHICH HAS A MOMENTUM , trade only using manually not algo , use proper RR.
good luck
XAU BUY/SELL Scalping Strategy M5 PROFX:XAUUSD
This XAU/USD Pro Scalping Strategy is tailored specifically for the M5 timeframe , designed to capture rapid Gold price movements. Instead of relying on lagging indicators, this system utilizes advanced Price Action and Market Structure analysis to identify high-probability entry zones.
The core strength of this strategy lies in its built-in Money Management engine and Multi-threaded Trailing Stop system, ensuring capital preservation and profit maximization.
🚀 Key Features:
1. Smart Price Action Recognition:
The algorithm scans for specific market scenarios to apply dynamic Risk:Reward ratios (ranging from 1:1 to 1:3).
Filters out noise and false breakouts using multi-candle analysis.
Auto Position Sizing:
Calculates trade quantity automatically based on your defined Risk % per Trade .
Ensures consistent risk management regardless of the Stop Loss distance.
Intelligent Trailing Stop:
Uses a dynamic trailing mechanism based on "R" multiples (Risk Units).
Automatically secures profits by moving SL based on the specific setup type ("Case") of each trade.
Safety Filters:
Min SL and Max SL inputs prevent trades during periods of extremely low volatility or excessive risk.
⚙️ Settings:
Risk % per Trade: The percentage of equity to risk per trade (Recommended: 1.0% - 2.0%).
Min/Max SL Points: Dynamic boundaries for Stop Loss to adapt to current market volatility.
💡 Recommendations:
Symbol: XAUUSD / Gold - FXCM.
Timeframe: M5.
Best performance during London and New York sessions.
