Antigravity OCC Strategy (MA 5 + Delayed TSL)# OCC Strategy Optimized (MA 5 + Delayed TSL) - User Guide
## Introduction
The **OCC Strategy Optimized** is an enhanced version of the classic **Open Close Cross (OCC)** strategy. This strategy is designed for high-precision trend following, utilizing the crossover logic of Open and Close moving averages to identify market shifts. This optimized version incorporates advanced risk management, multi-timeframe analysis, and a variety of moving average types to provide a robust trading solution for modern markets.
>
> **Special Thanks:** This strategy is based on the original work of **JustUncleL**, a renowned Pine Script developer. You can find their work and profile on TradingView here: (in.tradingview.com).
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## Key Features
### 1. Optimized Core Logic
- **MA Period (Default: 5):** The strategy is tuned with a shorter MA length to reduce lag and capture trends earlier.
- **Crossing Logic:** Signals are generated when the Moving Average of the **Close** crosses the Moving Average of the **Open**.
### 2. Multi-Timeframe (MTF) Analysis
- **Alternate Resolution:** Use a higher timeframe (Resolution Multiplier) to filter out noise. By default, it uses $3 \times$ your current chart timeframe to confirm the trend.
- **Non-Repainting:** Includes an optional delay offset to ensure signals are confirmed and do not disappear (repaint) after the bar closes.
### 3. Advanced Risk Management
This script features a hierarchical exit system to protect your capital and lock in profits:
- **Fixed Stop Loss (Initial):** Protects against sudden market reversals immediately after entry.
- **Delayed Trailing Stop Loss (TSL):**
- **Activation Delay:** The TSL only activates after the trade reaches a specific profit threshold (e.g., 1%). This prevents being stopped out too early in the trade's development.
- **Ratchet Trail:** Once activated, the stop loss "ratchets" up/down, never moving backward, ensuring you lock in profits as the trend continues.
- **Take Profit (TP):** A fixed percentage target to exit the trade at a pre-defined profit level.
### 4. Versatility
- **12 MA Types:** Choose from SMA, EMA, DEMA, TEMA, WMA, VWMA, SMMA, HullMA, LSMA, ALMA, SSMA, and TMA.
- **Trade Direction:** Toggle between Long-only, Short-only, or Both.
- **Visuals:** Optional bar coloring to visualize the trend directly on the candlesticks.
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## User Input Guide
### Core Settings
- **Use Alternate Resolution?:** Enable this to use the MTF logic.
- **Multiplier for Alternate Resolution:** How many charts higher the "filter" timeframe should be.
- **MA Type:** Select your preferred moving average smoothing method.
- **MA Period:** The length of the Open/Close averages.
- **Delay Open/Close MA:** Use `1` or higher to force non-repainting behavior.
### Risk Management Settings
- **Use Trailing Stop Loss?:** Enables the TSL system.
- **Trailing Stop %:** The distance the stop follows behind the price.
- **TSL Activation % (Delay):** The profit % required before the TSL starts moving.
- **Initial Fixed Stop Loss %:** Your hard stop if the trade immediately goes against you.
- **Take Profit %:** Your ultimate profit target for the trade.
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## How to Trade with This Strategy
1. **Identify the Trend:** Look for the Moving Average lines (Close vs Open) to cross.
2. **Wait for Confirmation:** If using MTF, ensure the higher timeframe also shows a trend change.
3. **Manage the Trade:** Let the TSL work. Once the trade hits the activation threshold, the TSL will take over, protecting your runner.
4. **Position Sizing:** Adjust the `Properties` tab in the script settings to match your desired capital allocation (Default is 10% of equity).
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## Credits
Original Strategy by: **JustUncleL**
Optimized and Enhanced by: **Antigravity AI**
Candlestick analysis
Trend Pulse Channel StrategyOverview
Trend Pulse Channel Strategy is a long-only trend-following breakout strategy built around an adaptive multi-pole smoothing filter and a volatility-adjusted price channel.
The strategy is designed to participate in sustained directional moves by entering only when price confirms momentum strength beyond a dynamic upper boundary, while avoiding mean-reversion and low-quality consolidation phases.
This script is published as a strategy and includes realistic backtesting assumptions for position sizing, commissions, and slippage.
Core Concept
At the heart of the strategy is a multi-pole adaptive EMA-based filter, inspired by advanced digital signal smoothing techniques.
Using multiple poles allows the filter to reduce noise while preserving responsiveness to genuine trend changes.
To adapt the channel width to changing market conditions, the strategy applies the same filtering logic to True Range, producing a volatility-aware envelope rather than a static or fixed-percentage band.
This combination allows the strategy to:
Track directional bias using a smoothed central filter
Adjust channel width dynamically based on market volatility
Trigger entries only when price expansion confirms trend strength
Entry Logic
A long position is opened when:
Price crosses above the upper channel band
The signal occurs within the user-defined date range
This condition represents a volatility-confirmed breakout aligned with the prevailing directional filter.
Exit Logic
The long position is closed when:
Price crosses back below the upper band
This exit logic aims to stay in trending moves while exiting when upside momentum weakens.
The strategy does not open short positions by design.
Inputs and Defaults
The default inputs are selected to balance smoothness, responsiveness, and stability:
Source (HLC3): Reduces single-price noise by averaging high, low, and close
Period (144): Defines the primary smoothing horizon of the adaptive filter
Poles (4): Controls the smoothness vs. responsiveness trade-off
Range Multiplier (1.414): Scales the volatility envelope using filtered True Range
Reduced Lag (optional): Applies lag compensation to improve responsiveness
Fast Response (optional): Blends multi-pole and single-pole filters for quicker reaction at the cost of smoothness
All inputs are fully configurable and can be adjusted to suit different instruments and timeframes.
Risk Management & Position Sizing
The strategy uses:
Position size: 10% of equity per trade
No pyramiding
Long positions only
This sizing approach is intended to reflect sustainable risk exposure rather than aggressive capital deployment. Users may further adjust position size based on their own risk tolerance.
Backtesting Assumptions
The strategy is tested using :
Initial capital: 10,000
Commission: 0.1%
Slippage: 1 tick
Order fill model: Standard OHLC
These settings are chosen to provide more realistic performance estimates compared to idealized backtests.
This strategy is best suited for :
Trend-oriented markets
Higher timeframes where breakouts are more reliable
Users seeking systematic trend participation rather than frequent scalping
In sideways or range-bound market conditions, price may cross the channel boundaries frequently.
This can result in a higher number of entry and exit signals that do not develop into sustained trends.
For this reason, the strategy should be used with an understanding of basic technical analysis concepts, including market structure, trend identification, and consolidation behavior.
It is intended as a decision-support tool, not a standalone trading system.
Users—whether beginners or experienced traders—should avoid relying solely on this strategy and are encouraged to combine it with broader market context and additional analysis methods.
Disclaimer
This script is provided for educational and analytical purposes only. It does not constitute financial advice. Past performance does not guarantee future results.
ML Adaptive SuperTrend Strategy [trade_crush]# ML Adaptive SuperTrend Strategy - User Guide
## Introduction
The **ML Adaptive SuperTrend Strategy** is a sophisticated trading tool that combines traditional trend-following logic with **Machine Learning (K-Means Clustering)** to dynamically adapt to market volatility. Unlike standard SuperTrend indicators that use a fixed ATR, this strategy analyzes historical volatility to categorize the current market into distinct clusters, providing more precise entries and exits.
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> **Special Thanks:** This strategy is based on the innovative work of **AlgoAlpha**. You can explore their extensive library of high-quality indicators and strategies on TradingView: (www.tradingview.com).
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## Machine Learning Engine (K-Means)
The core of this strategy is its ability to "learn" from recent market behavior.
- **K-Means Clustering**: The script takes the last $N$ bars of ATR data and runs an iterative clustering algorithm to find three "centroids" representing **High**, **Medium**, and **Low** volatility.
- **Adaptive ATR**: Based on the current volatility, the strategy selects the nearest centroid to use as the ATR value for the SuperTrend calculation. This ensures the trailing stop tightens during low volatility and widens during high volatility to avoid "noise".
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## Key Features
### 1. Non-Repainting Signals
- **Confirm Signals**: When enabled, signals are only triggered after a bar closes. This ensures that the arrows and entries you see on the chart are permanent and reliable for backtesting.
### 2. Intelligent Risk Management
- **Multiple SL/TP Types**: Choose between **Percentage** based stops or **ATR** based stops for both Stop Loss and Take Profit.
- **Trailing Stop Loss (TSL)**:
- Supports both Percentage and ATR modes.
- **Activation Offset**: Only activates the trailing mechanism after the price has moved a certain percentage in your favor, protecting early-stage trades.
### 3. Risk-Based Position Sizing
- **Dynamic Quantity**: If enabled, the strategy automatically calculates the trade size based on your **Risk % Per Trade** and the distance to your **Stop Loss**. This ensures you never lose more than your defined risk on a single trade.
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## User Input Guide
### SuperTrend & ML Settings
- **ATR Length**: The window used to calculate market volatility.
- **SuperTrend Factor**: The multiplier that determines the distance of the trailing stop from the price.
- **Use ML Adaptive ATR**: Toggle between the ML-enhanced logic and standard ATR.
- **Training Data Length**: How many historical bars the ML engine analyzes to find clusters.
### Risk Management
- **Stop Loss Type**: Set to Percentage, ATR, or None.
- **TS Activation Offset**: The profit buffer required before the trailing stop starts following the price.
- **Use Risk-Based Sizing**: Toggle this to let the script manage your position size automatically.
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## How to Trade with This Strategy
1. **Monitor the Dashboard**: Check the top-right table to see which volatility cluster the market is currently in.
2. **Observe the Fills**: The adaptive fills (green/red) visualize the "breathing room" the strategy is giving the price.
3. **Execution**: The strategy enters on "ML Bullish" (Triangle Up) and "ML Bearish" (Triangle Down) signals.
4. **Exits**: The script will automatically exit based on your SL, TP, or Trailing Stop settings.
---
## Credits
Original Concept: **AlgoAlpha**
Strategy Conversion & Enhancements: **Antigravity AI**
Heikin Ashi Wick Strategy
🔥 Heikin Ashi Wick Momentum Strategy
“Trade momentum decay before the trend breaks.
>> FOCUS ON WICKS, NOT ONLY CANDLE COLOR<<
What Makes This Different (Traffic Driver)
✔ Uses Heikin Ashi wicks (almost nobody does this correctly)
✔ Captures trend continuation, not breakouts
✔ Exits before momentum collapse, not after
✔ Non-repainting
✔ Clean charts, instant readability
This Strategy Is REALLY Trading
This is a Heikin Ashi momentum-decay system:
• Enters when trend is strong but not euphoric
• Exits when:
o Trend stops probing higher
o Sellers gain relative strength
It avoids:
• Chasing strong breakout candles
• Holding through momentum rollovers
Candle Type Used: Heikin Ashi (manually calculated)
NOTE: The script does not use regular candles.
It reconstructs Heikin Ashi (HA) candles from raw OHLC:
• HA Close = average of open, high, low, close
• HA Open = midpoint of prior HA candle (smoothed)
• HA High / Low = extremes of HA open/close vs real high/low
➡️ This filters noise and emphasizes trend structure and momentum.
Strengths
✅ Works well in strong, smooth trends
✅ Very clean logic (no indicators)
✅ Non-repainting
✅ Early exits protect capital
Best Use
This works best on:
• Daily timeframe
• Strong trend ETFs / megacaps
o QQQ
o SPY
o NVDA, MSFT, AAPL
• When combined with:
o EMA 21 trend filter (your preference)
o Market regime filter (e.g., above 50/200 SMA)
o Rising 10 EMA and 20 EMA
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8️⃣ Weaknesses (Important)
⚠️ No stop loss (only structure-based exits)
⚠️ Can exit too early in explosive trends
⚠️ Will chop in sideways markets
⚠️ No volatility filter (ATR, EMA, regime)
How to Avoid the Weaknesses — Summary
Turn the setup from a concept into a robust strategy by adding these controls:
1. Trade Only Trends
o Require price above EMA-21 (optionally EMA-21 > EMA-50)
o Eliminates chop and sideways markets
2. Improve Exits (Avoid Leaving Winners Too Early)
o Partial exit when upper wick disappears
o Full exit only when lower wick dominates
o Optional: require 2 consecutive exit candles
3. Add Risk Protection
o Use a volatility stop: ~1.5× ATR(14) below entry or below HA swing low
o Protects against gaps and sudden reversals
4. Filter Weak Signals
o Require meaningful wick size (≈30–40% of candle range)
o Avoids low-quality indecision candles
5. Avoid Bad Volatility
o Skip entries when ATR is expanding aggressively
o Focus on calmer, controllable trends
6. Limit Time in Trade
o Add a max bars hold (e.g., 10–15 bars on daily)
o Prevents capital getting stuck in fading trends
⚠️ Educational use only. Not financial advice. Trading involves risk and losses can exceed expectations. Past performance does not guarantee future results. Use at your own risk.
Gold M5 Scalping (Strategy)This is the New Strategy for my new Indicator for M5 Scalping.
Just to test my result.
Will release my indicator soon
ES Multi-Timeframe SMC Entry SystemOverviewThis is a comprehensive Smart Money Concepts (SMC) trading strategy for ES1! (E-mini S&P 500) futures that provides simultaneous buy and sell signals across three timeframes: Daily, Weekly, and Monthly. It incorporates your complete entry checklists, confluence scoring system, and automated risk management.Core Features1. Multi-Timeframe Signal Generation
Daily Signals (D) - For intraday/swing trades (1-3 day holds)
Weekly Signals (W) - For swing trades (3-10 day holds)
Monthly Signals (M) - For position trades (weeks to months)
All three timeframes can trigger simultaneously (pyramiding enabled)
2. Smart Money Concepts ImplementationOrder Blocks (OB)
Automatically detects bullish and bearish order blocks
Bullish OB = Down candle before strong impulse up
Bearish OB = Up candle before strong impulse down
Validates freshness (< 10 bars = higher quality)
Visual boxes displayed on chart
Fair Value Gaps (FVG)
Identifies 3-candle imbalance patterns
Bullish FVG = Gap between high and current low
Bearish FVG = Gap between low and current high
Tracks unfilled gaps as targets/entry zones
Auto-removes when filled
Premium/Discount Zones
Calculates 50-period swing range
Premium = Upper 50% (short from here)
Discount = Lower 50% (long from here)
Deep zones (<30% or >70%) for higher quality setups
Visual shading: Red = Premium, Green = Discount
Liquidity Sweeps
Sell-Side Sweep (SSL) = False break below lows → reversal up
Buy-Side Sweep (BSL) = False break above highs → reversal down
Marked with yellow labels on chart
Valid for 10 bars after occurrence
Break of Structure (BOS)
Identifies when price breaks recent swing high/low
Confirms trend continuation
Marked with small circles on chart
3. Confluence Scoring SystemEach timeframe has a 10-point scoring system based on your checklist requirements:Daily Score (10 points max)
HTF Trend Alignment (2 pts) - 4H and Daily EMAs aligned
SMC Structure (2 pts) - OB in correct zone with HTF bias
Liquidity Sweep (1 pt) - Recent SSL/BSL occurred
Volume Confirmation (1 pt) - Volume > 1.2x 20-period average
Optimal Time (1 pt) - 9:30-12 PM or 2-4 PM ET (avoids lunch)
Risk-Reward >2:1 (1 pt) - Built into exit strategy
Clean Price Action (1 pt) - BOS occurred
FVG Present (1 pt) - Near unfilled fair value gap
Minimum Required: 6/10 (adjustable)Weekly Score (10 points max)
Weekly/Monthly Alignment (2 pts) - W and M EMAs aligned
Daily/Weekly Alignment (2 pts) - D and W trends match
Premium/Discount Correct (2 pts) - Deep zone + trend alignment
Major Liquidity Event (1 pt) - SSL/BSL sweep
Order Block Present (1 pt) - Valid OB detected
Risk-Reward >3:1 (1 pt) - Built into exit
Fresh Order Block (1 pt) - OB < 10 bars old
Minimum Required: 7/10 (adjustable)Monthly Score (10 points max)
Monthly/Weekly Alignment (2 pts) - M and W trends match
Weekly OB in Monthly Zone (2 pts) - OB in deep discount/premium
Major Liquidity Sweep (2 pts) - Significant SSL/BSL
Strong Trend Alignment (2 pts) - D, W, M all aligned
Risk-Reward >4:1 (1 pt) - Built into exit
Extreme Zone (1 pt) - Price <20% or >80% of range
Minimum Required: 8/10 (adjustable)4. Entry ConditionsDaily Long Entry
✅ Daily score ≥ 6/10
✅ 4H trend bullish (price > EMAs)
✅ Price in discount zone
✅ Bullish OB OR SSL sweep OR near bullish FVG
✅ NOT during avoid times (lunch/first 5 min)Daily Short Entry
✅ Daily score ≥ 6/10
✅ 4H trend bearish
✅ Price in premium zone
✅ Bearish OB OR BSL sweep OR near bearish FVG
✅ NOT during avoid timesWeekly Long Entry
✅ Weekly score ≥ 7/10
✅ Weekly trend bullish
✅ Daily trend bullish
✅ Price in discount
✅ Bullish OB OR SSL sweepWeekly Short Entry
✅ Weekly score ≥ 7/10
✅ Weekly trend bearish
✅ Daily trend bearish
✅ Price in premium
✅ Bearish OB OR BSL sweepMonthly Long Entry
✅ Monthly score ≥ 8/10
✅ Monthly trend bullish
✅ Weekly trend bullish
✅ Price in DEEP discount (<30%)
✅ Bullish order block presentMonthly Short Entry
✅ Monthly score ≥ 8/10
✅ Monthly trend bearish
✅ Weekly trend bearish
✅ Price in DEEP premium (>70%)
✅ Bearish order block present5. Automated Risk ManagementPosition Sizing (Per Entry)
Daily: 1.0% account risk per trade
Weekly: 0.75% account risk per trade
Monthly: 0.5% account risk per trade
Formula:
Contracts = (Account Equity × Risk%) ÷ (Stop Points × $50)
Minimum = 1 contractStop Losses
Daily: 12 points ($600 per contract)
Weekly: 40 points ($2,000 per contract)
Monthly: 100 points ($5,000 per contract)
Profit Targets (Risk:Reward)
Daily: 2:1 = 24 points ($1,200 profit)
Weekly: 3:1 = 120 points ($6,000 profit)
Monthly: 4:1 = 400 points ($20,000 profit)
Example with $50,000 AccountDaily Trade:
Risk = $500 (1% of $50k)
Stop = 12 points × $50 = $600
Contracts = $500 ÷ $600 = 0.83 → 1 contract
Target = 24 points = $1,200 profit
Weekly Trade:
Risk = $375 (0.75% of $50k)
Stop = 40 points × $50 = $2,000
Contracts = $375 ÷ $2,000 = 0.18 → 1 contract
Target = 120 points = $6,000 profit
Monthly Trade:
Risk = $250 (0.5% of $50k)
Stop = 100 points × $50 = $5,000
Contracts = $250 ÷ $5,000 = 0.05 → 1 contract
Target = 400 points = $20,000 profit
6. Visual Elements on ChartKey Levels
Previous Daily High/Low - Red/Green solid lines
Previous Weekly High/Low - Red/Green circles
Previous Monthly High/Low - Red/Green crosses
Equilibrium Line - White dotted line (50% of range)
Zones
Premium Zone - Light red shading (upper 50%)
Discount Zone - Light green shading (lower 50%)
SMC Markings
Bullish Order Blocks - Green boxes with "Bull OB" label
Bearish Order Blocks - Red boxes with "Bear OB" label
Bullish FVGs - Green boxes with "FVG↑"
Bearish FVGs - Red boxes with "FVG↓"
Liquidity Sweeps - Yellow "SSL" (down) or "BSL" (up) labels
Break of Structure - Small lime/red circles
Entry Signals
Daily Long - Small lime triangle ▲ with "D" below price
Daily Short - Small red triangle ▼ with "D" above price
Weekly Long - Medium green triangle ▲ with "W" below price
Weekly Short - Medium maroon triangle ▼ with "W" above price
Monthly Long - Large aqua triangle ▲ with "M" below price
Monthly Short - Large fuchsia triangle ▼ with "M" above price
7. Information TablesConfluence Score Table (Top Right)
┌──────────┬────────┬────────┬────────┐
│ TF │ SCORE │ STATUS │ SIGNAL │
├──────────┼────────┼────────┼────────┤
│ 📊 DAILY │ 7/10 │ ✓ PASS │ 🔼 │
│ 📈 WEEKLY│ 6/10 │ ✗ WAIT │ ━ │
│ 🌙 MONTH │ 9/10 │ ✓ PASS │ 🔽 │
├──────────┴────────┴────────┴────────┤
│ P&L: $2,450 │
└─────────────────────────────────────┘
Green scores = Pass (meets minimum threshold)
Orange/Red scores = Fail (wait for better setup)
🔼 = Long signal active
🔽 = Short signal active
━ = No signal
Entry Checklist Table (Bottom Right)
┌──────────────┬───┐
│ CHECKLIST │ ✓ │
├──────────────┼───┤
│ ━ DAILY ━ │ │
│ HTF Trend │ ✓ │
│ Zone │ ✓ │
│ OB │ ✗ │
│ Liq Sweep │ ✓ │
│ Volume │ ✓ │
│ ━ WEEKLY ━ │ │
│ W/M Align │ ✓ │
│ Deep Zone │ ✗ │
│ ━ MONTHLY ━ │ │
│ M/W/D Align │ ✓ │
│ Zone: Discount│ │
└──────────────┴───┘
Green ✓ = Condition met
Red ✗ = Condition not met
Real-time updates as market conditions change
8. Alert SystemIndividual Alerts:
"Daily Long" - Triggers when daily long setup appears
"Daily Short" - Triggers when daily short setup appears
"Weekly Long" - Triggers when weekly long setup appears
"Weekly Short" - Triggers when weekly short setup appears
"Monthly Long" - Triggers when monthly long setup appears
"Monthly Short" - Triggers when monthly short setup appears
Combined Alerts:
"Any Long Signal" - Catches any bullish opportunity (D/W/M)
"Any Short Signal" - Catches any bearish opportunity (D/W/M)
Alert Messages Include:
🔼/🔽 Direction indicator
Timeframe (DAILY/WEEKLY/MONTHLY)
Current confluence score
EmmTech FVG Instantaneous Mitigation Strategy Only buy once SMA is above rsi and sell when sma is below RSI
NIFTY_2MIN_CVD_short_StrategySummary
This strategy is an intraday system designed for the Nifty index on a 2-minute timeframe, focusing exclusively on identifying high-probability short (sell) entries. It utilizes a combination of rapid price action and Cumulative Volume Delta (CVD) to detect "Buying Absorption" at local peaks.
Concept & Core Logic
The strategy is engineered to identify "Inverted V-shaped" reversals where aggressive buying pressure is exhausted and absorbed by large-scale limit orders from sellers.
Price Action Trigger: The strategy looks for a specific two-part sequence:
Sudden Bullish Movement: A rapid upward move that often traps late buyers or triggers short-covering.
Sudden Reversal: Immediately followed by a strong, high-momentum bearish (red) candle, signaling a swift rejection of the higher prices.
CVD Absorption Filter: To confirm the validity of the reversal, the strategy analyzes the Cumulative Volume Delta (CVD). It identifies instances where the relative movement of the CVD is significantly higher than the corresponding price movement. This specific divergence highlights "Buying Absorption"—a market condition where aggressive market buy orders are being filled by passive limit sell orders, preventing further price appreciation and creating a heavy ceiling for the reversal.
Risk Management
To maintain a disciplined approach, the strategy employs fixed exit parameters based on the underlying Nifty price:
Take Profit: 25 points.
Stop Loss: 30 points.
Intended Use
This tool is intended for traders who study mechanical, rule-based systems and order flow dynamics. It provides a structured framework for observing how volume delta divergence (CVD) and rapid price rejections interact at potential market turning points.
Disclaimer: This script is for educational and informational purposes only. It is not financial advice. All trading involves risk, and past performance is not indicative of future results. Please conduct your own research and backtesting before making any trading decisions.
Nifty_2MIN_Rangereversal_Short_StrategySummary
This strategy is an intraday trend-following system designed for the Nifty index on a 2-minute timeframe, focusing exclusively on short (sell) entries. It is engineered to identify failed bounces within established bearish trends.
Concept & Core Logic
The strategy uses a multi-layered approach to confirm downward momentum before triggering an entry:
Trend Confirmation: The script analyzes the slope and positioning of the 20-period and 200-period Exponential Moving Averages (EMA). Short signals are only valid when the EMA configuration confirms a prevailing bearish trend.
Retracement Zone Filtering: To optimize entry pricing, the strategy monitors the daily price range. It looks for the market to be within the 35% to 75% range of the day's movement, specifically identifying a temporary upward "relief rally" or bounce after a significant fall.
Candlestick Trigger: The execution occurs when a specific bearish reversal pattern appears during the relief rally:
Two consecutive bullish candles (representing the temporary bounce).
Followed by a strong, high-momentum bearish candle (signaling the resumption of the primary downtrend).
Risk Management
The strategy utilizes fixed exit parameters based on the underlying Nifty price points:
Take Profit: 28 points.
Stop Loss: 30 points.
Intended Use
This tool is intended for traders who study mechanical, rule-based systems. It demonstrates how moving average trends can be combined with range analysis and price action sequences to time entries during market retracements.
Disclaimer: This script is for educational and informational purposes only. It is not financial advice. All trading involves risk, and past performance is not indicative of future results. Please conduct your own research and backtesting before making any trading decisions.
Nifty_2MIN_ Rangereversal_Long _StrategySummary
This strategy is an intraday trend-following system designed for the Nifty index on a 2-minute timeframe. It focuses exclusively on long entries, seeking to identify high-probability recovery points within an established uptrend.
Concept & Core Logic
The strategy identifies entries based on a confluence of trend direction, price recovery levels, and specific candlestick patterns:
Trend Confirmation: The script utilizes the slope and positioning of the 20-period and 200-period Exponential Moving Averages (EMA). A long signal is only considered when the trend is determined to be positive, ensuring trades align with the broader market momentum.
Recovery Zone Filtering: To avoid buying at local peaks, the strategy filters for entries that occur when the market has retraced but is showing signs of recovery. Specifically, it looks for price to be within the 35% to 75% recovery range relative to the day's high.
Candlestick Trigger: The actual entry trigger is a "Bullish Reversal" sequence:
Two consecutive bearish candles (representing a minor pullback).
Followed immediately by a strong bullish candle (representing the resumption of strength).
Risk Management
The strategy uses fixed point-based exits to maintain a disciplined approach:
Take Profit: 30 points (underlying Nifty price).
Stop Loss: 35 points (underlying Nifty price).
Intended Use
This script is designed for traders interested in mechanical trend-following systems. It provides a structured way to observe how moving average slopes and specific price action sequences interact during intraday recoveries.
Disclaimer: This script is for educational and informational purposes only. It is not financial advice. All trading involves risk, and past performance is not indicative of future results. Please conduct your own research and backtesting before making any trading decisions.
NIFTY_2min_FVG_sell_StrategyThis strategy is designed for scalping Nifty on a 2-minute chart, focusing exclusively on short entries. The script's purpose is to identify and act on specific bearish patterns based on volume analysis and price action.
Concept & Core Logic
The strategy operates on a two-stage confirmation process:
Volume Absorption: The initial condition seeks to identify potential bearish movements by detecting signs of buying pressure being absorbed by sellers. This suggests that a upward move may be losing momentum.
Fair Value Gap (FVG) Confirmation: After a volume absorption signal, the strategy waits for a Bearish Fair Value Gap (FVG) to appear. A short entry signal is generated only after a candle closes below the FVG zone, serving as confirmation of bearish intent.
Risk Management
The strategy employs a fixed take profit and stop loss for each trade, based on the Nifty underlying price:
Take Profit: The exit signal is triggered when a trade reaches a 30-point profit.
Stop Loss: The exit signal is triggered when a trade reaches a 35-point loss.
Intended Use
This tool is intended for traders who:
Utilize mechanical, rule-based systems for intraday trading and scalping.
Are interested in studying a structured approach that combines volume analysis with price action inefficiencies like Fair Value Gaps.
Prop-Firm Ready 2% Drawdown Double-Digit PF 72% AccuracyPerformance snapshot (Strategy Tester):
• ~72% win rate
• Double-digit profit factor (11+)
• ~1.39% maximum drawdown
• 36 trades over a multi-month window
• 1-contract baseline (scalable)
This system was engineered specifically to solve the hardest problem in trading:
high return with institutional-grade drawdown control.
Prop-firm ready by design:
• Drawdown remains well below common prop-firm limits
• No martingale, no grid, no averaging down
• Controlled trade frequency with asymmetric risk/reward
• Capital efficiency prioritized over trade count
What this is:
A turnkey, all-factor trading system that integrates trend, momentum, volatility, and structural confirmation into a single execution framework. Independent engines operate in parallel to capture non-correlated opportunity while the core system maintains directional exposure.
What this is not:
• Not curve-fit
• Not over-leveraged
• Not dependent on winning every trade
The objective is simple:
extract maximum capital growth per unit of drawdown.
This script is published for full performance transparency.
Source code and inputs are protected.
Additional system details and updates:
www.empireostrading.com
New Rate - PREMIUM v2New Rate - PREMIUM v2
New Rate - PREMIUM v2 is an intraday Opening Range Breakout (ORB) strategy built around a strict one-trade-per-day execution model.
The strategy defines a price range using the first N candles of a user-defined session, freezes the High/Low at the close of candle N, and places OCO stop orders exactly at those levels. The first breakout fills, the opposite order is canceled, and no further trades are allowed until the next trading day.
This script is published for educational and research purposes, with documented mechanics and backtest settings to support transparency and reproducibility.
How the strategy works
Session range construction
The user selects a minutes-based timeframe, a session start time, and the number of candles N. During the session window, the strategy tracks the highest High and lowest Low formed by the first N candles. These candles are visually highlighted on the chart.
Range freeze
When candle N closes, the range is locked. Horizontal High/Low lines are drawn and extended forward. An optional 50% midpoint can be displayed for reference.
OCO breakout execution
Immediately after the range is frozen, the strategy places:
A buy stop at the frozen High
A sell stop at the frozen Low
Orders are linked using OCO (One-Cancels-Other) logic. When one side fills, the opposite order is automatically canceled.
Exit management
Two exit frameworks are available:
Tick-based exits: stop-loss and take-profit are fixed distances in ticks from entry.
Risk/Reward exits: optional stop at the opposite side of the range, with TP calculated as RR × risk.
Both modes can display SL/TP boxes projected forward for visual review.
Daily execution lock
After the first filled trade of the day, the strategy blocks any new entries until the next daily reset. This enforces strict discipline and prevents over-trading.
Visual features
Configurable High/Low lines and labels (color, style, width, alignment)
Optional midpoint (50%) line
Session background highlight with adjustable opacity
Optional SL/TP boxes with configurable colors, borders, and projection length
Weekday filter (trade only selected days)
Settings used for the published backtest (replication)
The performance screenshots included with this publication were generated using the following configuration:
Market & chart
Symbol: FX:XAUUSD
Timeframe: 15 minutes
Session & range
Session start: as configured on chart (exchange time)
Range candles (N): 1
Auto range end: enabled (TF × N)
Line extension: 20 bars
Exits
Exit mode: SL/TP by ticks
Stop-loss: 1500 ticks
Take-profit: 2000 ticks
Weekdays
Monday to Friday enabled
Strategy Properties (TradingView settings)
Initial capital: 1,000 USD
Commission: 0.1 (as set in Strategy Properties)
Slippage: 1 tick
Users should adjust commission, slippage, and position sizing to match their own broker and execution conditions.
Backtest context and limitations
This strategy uses stop orders that may fill intrabar depending on TradingView’s execution model.
Results vary by symbol, timeframe, session selection, and trading costs.
Past performance does not guarantee future results.
This script is not financial advice.
Originality and usefulness
While opening-range breakouts are a known concept, this strategy’s implementation focuses on:
Exact range-freeze timing: orders are armed precisely at the close of the N-th candle.
True OCO + hard daily lock: one-and-done execution enforced at the engine level.
Dual exit framework: fixed-tick and RR exits analyzed with the same SL/TP visual logic.
Operational safeguards: weekday filters and drawing limits designed for stable long-term backtesting.
FluxMA ProFluxMA Pro
FluxMA Pro is an intraday trend-following strategy based on moving-average cross signals , with built-in execution filters (time window + weekdays), direction control, and an optional strict one-trade-per-day rule.
The system enters when price crosses the selected moving average, and manages risk using fixed SL/TP in ticks . For clarity and auditing, it plots the MA and draws risk (SL) / reward (TP) zones on the chart.
This script is published for educational and research purposes , with documented mechanics and replication settings to support transparency and reproducibility.
How the strategy works
Signal engine (MA cross)
A base Moving Average (MA) is computed from a selectable price source.
A Long signal triggers when price crosses above the MA.
A Short signal triggers when price crosses below the MA.
Execution filters
Time filter : trades only inside the configured window (supports overnight windows correctly).
Weekday filter : enable/disable trading by day (Mon–Sun).
Direction filter : run Long only , Short only , or Both .
One trade per day (optional) : if enabled, once a trade is placed, no new trades are allowed until the next daily reset.
Risk management (ticks)
Stop-loss and take-profit are set using fixed distances in ticks from entry.
Orders are placed with a stop and a limit exit to keep execution auditable.
Visual audit layer
Plots the Moving Average on the chart.
Draws SL/TP zones as boxes that extend while the position is open.
Adds entry labels (“buy” / “sell”) for quick review in replays and optimizations.
Visual features
MA plot with selectable MA type (SMA/EMA/WMA/RMA) and length.
Risk/Reward boxes projected from entry (SL zone + TP zone).
Entry labels with configurable styling (label/flag) and colors.
Settings used for the published backtest (replication)
The performance screenshots included with this publication were generated using the following configuration:
Market & chart
Symbol : XAUUSD (FXCM feed)
Timeframe : 15 minutes
Date range : 02 Jan 2025 → 07 Nov 2025
Inputs (Strategy settings)
Source : Close
MA type : SMA
MA length : 10
Stop Loss : 1400 ticks
Take Profit : 2000 ticks
Time filter : enabled — 06:00 to 22:15 (exchange time)
Weekday filter : enabled — Monday to Sunday enabled
Direction : Long only
One trade per day : enabled
TradingView Strategy Properties used
Initial capital : 1,000 USD
Commission : 0.2 (as set in Strategy Properties)
Slippage : 1 tick
Backtest snapshot (as shown)
Net Profit : +727.41 USD (+72.74%)
Max Drawdown : 200.25 USD (12.71%)
Total Trades : 218
Win Rate : 52.29% (114 / 218)
Profit Factor : 1.485
Backtest context and limitations
Stop/limit fills may occur intrabar depending on TradingView’s execution model and bar magnifier assumptions.
Results vary by symbol, timeframe, broker feed, spreads, commissions, slippage, and session selection.
Past performance does not guarantee future results.
This script is not financial advice.
Originality and usefulness
While MA-cross strategies are a known concept, FluxMA Pro focuses on an execution-grade implementation designed for testing and disciplined deployment:
Execution guardrails : optional one-trade-per-day lock + direction filter to prevent over-trading and strategy drift.
Session handling done properly : time windows support overnight logic (no “broken window” edge cases).
MA modularity : SMA/EMA/WMA/RMA selection enables controlled experiments without rewriting logic.
Auditable visuals : SL/TP zones and labels allow fast review of behavior during replays, optimization, and multi-asset scans.
Heikin Ashi Color Flip StrategyManual HA calculation → no repainting
✔ Entry on first green after red
✔ Exit on first red after green
✔ process_orders_on_close = false → orders execute on next bar open
✔ Logic is clean and readable
How to make it your kind of strategy (next step)
Given your past preferences, the best upgrade is:
• Trade only when price > EMA 21
• Or only when SPY > EMA 50 & VIX < 20
• Exit on price close below EMA 21 (your preferred rule)
Consider the following to increase win rate and decrease drawdown:
• Add EMA-21 exit instead of HA red
• Add SPY/VIX regime filter
• Give you real QQQ daily backtest metrics
• Convert this into a scan/alert-only indicator
Disclaimer:
This indicator is provided for educational and informational purposes only and does not constitute financial, investment, or trading advice. The signals generated by this indicator are not guaranteed to be accurate or profitable. Past performance is not indicative of future results. Trading and investing involve substantial risk, and you should perform your own analysis and consult a qualified financial professional before making any trading decisions. The author is not responsible for any financial losses incurred from the use of this indicator.
HMA1//@version=5
strategy("黄金 HMA + SuperTrend 趋势增强策略", overlay=true, initial_capital=10000, default_qty_type=strategy.percent_of_equity, default_qty_value=10)
// --- 1. 输入参数 ---
// HMA 参数
hmaLen = input.int(55, "HMA 长度", minval=1, group="HMA 设置")
// SuperTrend 参数
stFactor = input.float(3.0, "SuperTrend 乘数", step=0.1, group="SuperTrend 设置")
stPeriod = input.int(10, "SuperTrend ATR 周期", group="SuperTrend 设置")
// 离场设置
useAtrSl = input.bool(true, "启用 ATR 动态止损", group="风险管理")
atrSlMult = input.float(2.0, "止损 ATR 倍数", step=0.1, group="风险管理")
// --- 2. 指标计算 ---
// 计算 HMA
hmaValue = ta.hma(close, hmaLen)
// 计算 SuperTrend
= ta.supertrend(stFactor, stPeriod)
// 计算 ATR（用于止损）
atr = ta.atr(14)
// --- 3. 绘图 ---
plot(hmaValue, "HMA 趋势线", color=hmaValue > hmaValue ? color.green : color.red, linewidth=2)
plot(stValue, "SuperTrend 线", color=stDirection < 0 ? color.new(color.teal, 0) : color.new(color.maroon, 0), linewidth=2)
// --- 4. 交易逻辑 ---
// 做多条件：
// 1. 价格在 HMA 之上 且 HMA 正在向上拐头
// 2. SuperTrend 变为看涨方向 (stDirection < 0)
longCondition = close > hmaValue and hmaValue > hmaValue and stDirection < 0
// 做空条件：
// 1. 价格在 HMA 之下 且 HMA 正在向下拐头
// 2. SuperTrend 变为看跌方向 (stDirection > 0)
shortCondition = close < hmaValue and hmaValue < hmaValue and stDirection > 0
// --- 5. 执行与止损逻辑 ---
var float longStop = na
var float shortStop = na
// 入场逻辑
if (longCondition)
longStop := close - (atr * atrSlMult)
strategy.entry("Long", strategy.long, comment="HMA+ST 多")
if (shortCondition)
shortStop := close + (atr * atrSlMult)
strategy.entry("Short", strategy.short, comment="HMA+ST 空")
// 离场逻辑：当 SuperTrend 反转或触及 ATR 止损时离场
if (strategy.position_size > 0)
strategy.exit("Exit Long", "Long", stop=longStop, limit=na, when=stDirection > 0, comment="多单离场")
if (strategy.position_size < 0)
strategy.exit("Exit Short", "Short", stop=shortStop, limit=na, when=stDirection < 0, comment="空单离场")
// 填充背景色以示趋势
fill(plot(stValue), plot(open > close ? open : close), color = stDirection < 0 ? color.new(color.green, 90) : color.new(color.red, 90))
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
The 1 High/Low StrategyThis strategy takes advantage of price Support and Resistance at High and Low level points of the day to enter high Risk to Reward positions with a high win rate.
Opening Range Breakout & Targets [Strategy] (Fixed + Alerts)This strategy backtests a classic Opening Range Breakout approach using a configurable opening range window (time-based OR or custom session). Once the opening range is completed, the strategy waits for price to break above ORH (Opening Range High) or below ORL (Opening Range Low) and enters in the direction of the breakout.
Targets are derived directly from the opening range width:
OR Width = ORH − ORL
Target Step = OR Width × Target %
Take-profit is placed at the selected Target # (T1, T2, etc.)
An optional Daily Bias filter can be enabled to reduce false breakouts by comparing today’s opening range midpoint (ORM) to the previous session’s ORM. When bias is active, breakouts against the bias can require a stronger confirmation (break beyond the first target step).
Risk management is configurable via multiple stop options:
Stop at Opposite OR
Stop at OR Midpoint
Stop at 1× Target Step
Or disable stops for custom management
Includes support for:
Long/Short/Both modes
One trade per session option
Optional exit on opposite breakout
Separate alert conditions (when used with the companion indicator)
Note: This is a backtesting tool. Always validate results across symbols/timeframes and account for slippage/commissions before live use.
Improved Candle Strategy (without daily squared)# Candle Pattern Trading Strategy
## Core Logic
Analyzes the last 5 candlesticks to identify "close at high" and "close at low" patterns, generating long/short signals.
## Trading Conditions
- **Long**: ≥2 bars closed at high in past 5 bars + current bar closes at high → Open long
- **Short**: ≥2 bars closed at low in past 5 bars + current bar closes at low → Open short
- **Filter**: If ≥3 doji patterns detected, skip trading
## Risk Management
- Stop Loss: Based on entry bar's high/low
- Take Profit: Risk × 2x multiplier
- Cooldown: No trading for 2 bars after entry
- Session Filter: No trading for first 5 bars after market open
## Configurable Parameters
- Lookback period, doji threshold, close proximity ratio, TP/SL ratio, cooldown bars, etc.
**Use Cases**: 1-minute and higher timeframes on stocks/futures
