EMA + RSI Forex StrategyHere is a complete and ready-to-use Pine Strategy Script v5 trading strategy. It’s designed for forex pairs and uses combination of EMA crossover and RSI confirmation to identify high-probability entries. The script includes backtesting capability and adjustable parameters for optimization.
Medie mobili
RSI + 55 EMA + Volume (SL Marked, No Engulfing)This is to help entering in trades by considering 50 EMA and RSI indicators, Volume is used for confirmations
ParabolicSAR+EMA[TS_Indie]🚀 EMA + Parabolic SAR Reversal Trading Strategy
This trading system effectively combines the use of Exponential Moving Averages (EMA) with the Parabolic SAR to identify both price trends and key reversal points. The EMA Fast is used to signal the primary short-term trend, while the EMA Slow acts as a filter for the long-term trend direction. The Parabolic SAR then helps to confirm the reversal signals.
🛠️ Tools Used
1. EMA Fast – Primary Short-Term Trend
2. EMA Slow – Long-Term Trend Filter
3. Parabolic SAR – Reversal Confirmation
🎯 Entry Rules
📈 Buy Setup
1. Trend Filter: EMA Fast > EMA Slow → Uptrend
2. Pullback: Price pulls back and closes below the EMA Fast line.
3. Reversal: Price reverses/pulls back up and closes above the EMA Fast line.
4. SAR Confirmation: The previous Parabolic SAR dot is above the high, and the dot in the current candle is below the low → Reversal signal confirmed.
5. Entry: Enter Buy immediately.
📉 Sell Setup
1. Trend Filter: EMA Fast < EMA Slow → Downtrend
2. Pullback: Price pulls back and closes above the EMA Fast line.
3. Reversal: Price reverses/pulls back down and closes below the EMA Fast line.
4. SAR Confirmation: The previous Parabolic SAR dot is below the low, and the dot in the current candle is above the high → Reversal signal confirmed.
5. Entry: Enter Sell immediately.
💰 Exit Management (Entry, Stop Loss, Take Profit)
1. Entry: Enter the order at the closing price of the signal candle.
2. Stop Loss (SL): Set the Stop Loss at the Parabolic SAR dot.
3. Take Profit (TP): Calculated from the Entry and Stop Loss points, multiplied by the Risk Reward Ratio.
⚙️ Optional Parameters
➭ Custom Risk/Reward Ratio for Take Profit.
➭ Option to add an ATR buffer to the Stop Loss.
➭ Adjustable EMA Fast period.
➭ Adjustable EMA Slow period.
➭ Adjustable Parabolic SAR parameters.
➭ Option to enable Long-only / Short-only positions.
➭ Customizable Backtest start and end date.
➭ Customizable trading session time.
🔔 Alert Function
Alerts display:
➭ Entry Price
➭ Stop Loss Price
➭ Take Profit Price
💡 This strategy allows for many parameter adjustments, such as the MA type, adding/subtracting from the Stop Loss using ATR, and selecting specific sessions for backtesting. If you find interesting or profitable results after adjusting the parameters, please share your comments with other traders!
⚠️ Disclaimer
This indicator is designed for educational and research purposes only. It does not guarantee profits and should not be considered financial advice. Trading in financial markets involves significant risk , including the potential loss of capital.
Dami's HMA Strategy"Dami's HMA Strategy: Dynamic Crossover with Momentum Filter"
Key Points to Include:
Foundation: The strategy is based on the Hull Moving Average (HMA), noted for its speed and reduced lag, making it ideal for identifying trend inflection points early.
Enhanced Logic: Unlike a simple moving average crossover, this strategy incorporates a momentum filter. A signal is only triggered if the HMA crossover coincides with a candle moving in the direction of the new trend (bullish candle for Long, bearish candle for Short). This aims to confirm the impulse and avoid false entries during consolidation periods or 'weak' crossovers.
100% Market Coverage System: It is a continuous reversal system. Every new signal (Long or Short) closes the opposite position, ensuring the trader is always positioned in the direction indicated by the HMA.
Complementary Visualization: It includes the 8-Period High/Low Bands (Dami's Bands) to provide visual context of the recent price range, although they do not affect trading orders.
Adjustment and Optimization: The HMA length (hma_len=9 by default) is the key parameter to optimize based on the specific pair and timeframe. Higher values will generate fewer signals and be slower, while lower values (like the current 9) make it more sensitive.
EMA Color Flip Strategy Experimenting on SOL 30 min chart, it seems good!
Let me know what you think!
Trio Strategy w EMA Timing Gate, Early Flip, Clouds and Cross AlMomentum Trio Strategy w EMA Timing Gate, Early Flip, Clouds and Cross Alerts
Short title: Trio EMA Strategy
Concept and Originality
This strategy merges three momentum systems – StochRSI, RSI EMA, and MACD – into one coordinated Trio.
It triggers possible entries only (no exits) when all three align within user-defined windows, with an EMA timing gate for precision and an optional early flip feature if the EMA crosses first.
Optional cooldown and filters reduce false signals.
It also shows green and purple markers when all three momentum indicators cross together, and provides alert notifications on every individual and trio crossover event.
StochRSI-based clouds highlight overbought and oversold areas for quick visual context.
Each part has a defined role:
Trio alignment ensures multi-indicator confirmation.
EMA gate refines timing and enables early trend flips.
Cooldown reduces overtrading.
Filters check price, trend, and volume quality.
Clouds visualize momentum extremes.
Markers show where the Trio crosses.
Alerts notify on all key momentum events.
How It Works
Trio confirmation (core):
StochRSI – percent K and D cross within stochGroupWindow.
RSI – RSI crossing its EMA.
MACD – line crossing signal within macdGroupWindow.
When all three cross up, a green marker appears.
When all three cross down, a purple marker appears.
These mark potential entry points only. Exits are not included.
EMA timing gate:
EMA(5) and EMA(9) define short-term trend.
Longs: EMA(5) greater than EMA(9).
Shorts: EMA(5) less than EMA(9).
Early Flip: when EMA crosses before the trio, a one-time flip can trigger after the chosen cooldown.
Cooldown prevents multiple entries in choppy markets.
Filters include:
Price Filter – restricts entries relative to EMA.
Trend Filter – aligns trades with a longer EMA.
Volume Filter – checks for rising volume.
Overbought and Oversold Clouds:
Red cloud when StochRSI is greater or equal to 80 (overbought).
Green cloud when StochRSI is less or equal to 20 (oversold).
Clouds are for context only, not trade signals.
Alerts trigger on every Trio signal and each individual crossover for StochRSI, RSI, and MACD.
Inputs You Can Tune
RSI, StochRSI, and MACD periods and windows.
EMA gate lengths.
Early-flip toggle and cooldown.
Trio cooldowns.
Filters for price, trend, and volume.
Marker visibility (green and purple).
Overbought or oversold cloud display.
Alert toggles for all cross types.
How To Use
1. Apply to any liquid market such as stocks, crypto, or forex.
2. Choose timeframe.
3. Keep default settings first, then fine-tune windows or cooldowns.
4. Use clouds and markers for entry guidance only. Exits are manual or from another strategy.
5. Enable alerts for real-time notifications of indicator and Trio crosses.
Default Properties Used for Publication (Backtest Transparency)
Initial capital: 100,000 USD – necessary for stock testing so one percent sizing produces realistic order size.
Order size: one percent of equity per trade to keep risk small.
Commission: 0.10 percent per side, realistic for brokers and exchanges.
Slippage: 0.05 percent, equal to roughly one to two ticks on stocks.
Pyramiding: 0.
Execution: on close.
Sample dataset: at least 100 trades across multiple timeframes and markets.
The higher initial capital ensures valid fills for stock testing, while risk stays proportional since position size is percentage based.
Why These Components Work Together
Trio confluence confirms momentum alignment.
EMA gate refines entry timing and allows early reversals.
Cooldown and filters reduce false triggers.
Markers confirm when all three indicators cross together.
Clouds and alerts improve awareness and reaction speed.
The result is a robust entry-only framework that adapts to many markets.
Notes and Limitations
Focused on entry detection only. Exits are manual or external.
For educational use only, not financial advice.
Always test with realistic slippage, fees, and several symbols.
Past results do not guarantee future performance.
Attribution
All logic and structure are original to this publication.
Common Pine functions follow official Pine documentation.
LSI Pro - Enhanced Sweep Lines + Trading StrategyThis is a very powerful and sensitive indicator, it embrace the institutional sweep, signaling the high volumes area with the liquidity areas and levels with bear or bull confirmations.
and more ...
It works very good with most instruments such crypto - forex and stocks.
write me to get access.
Trendviewer_Auctheo.Trendviewer 240 is built for traders who want clearer structure and fewer false starts. It reads higher-timeframe trend strength and turns it into a simple visual map on your active chart. You get precise directional bias, dynamic stop zones that adapt to current volatility, and optional filters that help you stay aligned with momentum instead of fighting it.
The script highlights areas where the trend is shifting, shows you when conditions are supportive for entries, and manages exits using a mix of adaptive levels and tiered targets. Everything is designed to keep your decision-making clean without cluttering the chart or revealing unnecessary details.
If you trade with the higher timeframe in mind but want the execution on the lower timeframe to feel controlled and confident, this tool will fit right in.
Please for free to contact us @theauctiontheorist@gmail.com
Semi-Martingala Sicura 1.20x PROIncrements or a maximum amount of 200. If the previous trade is profitable, the count is reset and the initial amount is resumed. Exit management uses fixed percentage stop loss and take profit, set relative to the entry price. In summary, this strategy aims to capitalize on trend and momentum signals, using a semi-martingale system to increase positions in case of losses, but with precise limits to contain risk. Note: This method aims to be "safer" than a classic martingale, respecting increment limits and a maximum amount.
Comment by saying what you think and what I could change.
Jet Stream V1Jet Stream catches the trends. Forgets the noise and allows you to lock into those big moves.
Wed, Nov 19 2025 V3 - Everything but alerts work.
EMA 50/200 Pullback + RSI (BTC/USDT 15m - 2 Bar Logic)I recognize that combining indicators requires clear justification on how the components interact Therefore the new scripts description will explicitly detail the strategys operational logic
Objective The strategy is a Trend Following Pullback System designed for high frequency time frames 15m
Synergy The EMA50 EMA200 defines the primary Trend Direction Trend Filter It then utilizes a 2 Bar Pullback Logic to find an entry point where the price has momentarily reversed against the trendline and the RSI 14 serves as a Momentum Filter RSI greater than 50 for Long RSI less than 50 for Short to minimize false signals
Trinity ATR Strategy (Saty) - Backtest EditionThis is not supposed to be a standalone indicator, but releasing this to give a general overview of what it could do, each commodity and timeframe would need to be back tested. Use in conjunction with other indicators and price action. This is not financial advice and is not a guarantee of financial results.
EMA Cross Strategy v5 (30 lots) (15 min candle only)- safe flip🚀 EMA Cross Strategy v5 (30 Lots) (15 min candle only)— Safe Flip Edition
Fully Automated | Fast | Reliable | Battle-tested
Welcome to a clean, powerful, and automation-friendly EMA crossover system.
This strategy is built for traders who want consistent trend-based entries without the risk of unwanted pyramiding or doubled positions.
🔥 How It Works
This strategy uses a fast EMA (10) crossing a slow EMA (20) to detect trend shifts:
Bullish Crossover → LONG (30 lots)
Bearish Crossover → SHORT (30 lots)
Every opposite signal safely flips the position by first closing the current trade, then opening a fresh position of exactly 30 lots.
No doubling.
No runaway position size.
No surprises.
Just clean, mechanical trend-following.
📈 Why This Strategy Stands Out
Unlike basic EMA crossbots, this version:
✔ Prevents unintended pyramiding
✔ Never over-allocates capital
✔ Works perfectly with webhook-based automation
✔ Produces stable, systematic entries
✔ Executes directional flips with precision
🔍 Backtest Highlights (1-Year)
(Backtests will vary by instrument/timeframe)
1,500+ trades executed
Profit factor above 1.27
Strong trend performance
Balanced long/short behavior
No margin calls
Consistent trade execution
This strategy thrives in trending markets and maintains strict discipline even in choppy conditions.
⚙️ Automation Ready
Designed for automated execution via webhook and API setups on supported platforms.
Just connect, run, and let the bot follow the rules without hesitation.
No emotions.
No overtrading.
No fear or greed.
Pure logic.
ZH1/5-Min Opening Range Breakout Strategy with Market Biasx.com
"ZH1/5-Min Opening Range Breakout Strategy with Market Bias"
Golden Cross 50/200 EMATrend-following systems are characterized by having a low win rate, yet in the right circumstances (trending markets and higher timeframes) they can deliver returns that even surpass those of systems with a high win rate.
Below, I show you a simple bullish trend-following system with clear execution rules:
System Rules
-Long entries when the 50-period EMA crosses above the 200-period EMA.
-Stop Loss (SL) placed at the lowest low of the 15 candles prior to the entry candle.
-Take Profit (TP) triggered when the 50-period EMA crosses below the 200-period EMA.
Risk Management
-Initial capital: $10,000
-Position size: 10% of capital per trade
-Commissions: 0.1% per trade
Important Note:
In the code, the stop loss is defined using the swing low (15 candles), but the position size is not adjusted based on the distance to the stop loss. In other words, 10% of the equity is risked on each trade, but the actual loss on the trade is not controlled by a maximum fixed percentage of the account — it depends entirely on the stop loss level. This means the loss on a single trade could be significantly higher or lower than 10% of the account equity, depending on volatility.
Implementing leverage or reducing position size based on volatility is something I haven’t been able to include in the code, but it would dramatically improve the system’s performance. It would fix a consistent percentage loss per trade, preventing losses from fluctuating wildly with changes in volatility.
For example, we can maintain a fixed loss percentage when volatility is low by using the following formula:
Leverage = % of SL you’re willing to risk / % volatility from entry point to stop loss
And when volatility is high and would exceed the fixed percentage we want to expose per trade (if the SL is hit), we could reduce the position size accordingly.
Practical example:
Imagine we only want to risk 15% of the position value if the stop loss is triggered on Tesla (which has high volatility), but the distance to the SL represents a potential 23.57% drop. In this case, we subtract the desired risk (15%) from the actual volatility-based loss (23.57%):
23.57% − 15% = 8.57%
Now suppose we normally use $200 per trade.
To calculate 8.57% of $200:
200 × (8.57 / 100) = $17.14
Then subtract that amount from the original position size:
$200 − $17.14 = $182.86
In summary:
If we reduce the position size to $182.86 (instead of the usual $200), even if Tesla moves 23.57% against us and hits the stop loss, we would still only lose approximately 15% of the original $200 position — exactly the risk level we defined. This way, we strictly respect our risk management rules regardless of volatility swings.
I hope this clearly explains the importance of capping losses at a fixed percentage per trade. This keeps risk under control while maintaining a consistent percentage of capital invested per trade — preventing both statistical distortion of the system and the potential destruction of the account.
About the code:
Strategy declaration:
The strategy is named 'Golden Cross 50/200 EMA'.
overlay=true means it will be drawn directly on the price chart.
initial_capital=10000 sets the initial capital to $10,000.
default_qty_type=strategy.percent_of_equity and default_qty_value=10 means each trade uses 10% of available equity.
margin_long=0 indicates no margin is used for long positions (this is likely for simulation purposes only; in real trading, margin would be required).
commission_type=strategy.commission.percent and commission_value=0.1 sets a 0.1% commission per trade.
Indicators:
Calculates two EMAs: a 50-period EMA (ema50) and a 200-period EMA (ema200).
Crossover detection:
bullCross is triggered when the 50-period EMA crosses above the 200-period EMA (Golden Cross).
bearCross is triggered when the 50-period EMA crosses below the 200-period EMA (Death Cross).
Recent swing:
swingLow calculates the lowest low of the previous 15 periods.
Stop Loss:
entryStopLoss is a variable initialized as na (not available) and is updated to the current swingLow value whenever a bullCross occurs.
Entry and exit conditions:
Entry: When a bullCross occurs, the initial stop loss is set to the current swingLow and a long position is opened.
Exit on opposite signal: When a bearCross occurs, the long position is closed.
Exit on stop loss: If the price falls below entryStopLoss while a position is open, the position is closed.
Visualization:
Both EMAs are plotted (50-period in blue, 200-period in red).
Green triangles are plotted below the bar on a bullCross, and red triangles above the bar on a bearCross.
A horizontal orange line is drawn that shows the stop loss level whenever a position is open.
Alerts:
Alerts are created for:Long entry
Exit on bearish crossover (Death Cross)
Exit triggered by stop loss
Favorable Conditions:
Tesla (45-minute timeframe)
June 29, 2010 – November 17, 2025
Total net profit: $12,458.73 or +124.59%
Maximum drawdown: $1,210.40 or 8.29%
Total trades: 107
Winning trades: 27.10% (29/107)
Profit factor: 3.141
Tesla (1-hour timeframe)
June 29, 2010 – November 17, 2025
Total net profit: $7,681.83 or +76.82%
Maximum drawdown: $993.36 or 7.30%
Total trades: 75
Winning trades: 29.33% (22/75)
Profit factor: 3.157
Netflix (45-minute timeframe)
May 23, 2002 – November 17, 2025
Total net profit: $11,380.73 or +113.81%
Maximum drawdown: $699.45 or 5.98%
Total trades: 134
Winning trades: 36.57% (49/134)
Profit factor: 2.885
Netflix (1-hour timeframe)
May 23, 2002 – November 17, 2025
Total net profit: $11,689.05 or +116.89%
Maximum drawdown: $844.55 or 7.24%
Total trades: 107
Winning trades: 37.38% (40/107)
Profit factor: 2.915
Netflix (2-hour timeframe)
May 23, 2002 – November 17, 2025
Total net profit: $12,807.71 or +128.10%
Maximum drawdown: $866.52 or 6.03%
Total trades: 56
Winning trades: 41.07% (23/56)
Profit factor: 3.891
Meta (45-minute timeframe)
May 18, 2012 – November 17, 2025
Total net profit: $2,370.02 or +23.70%
Maximum drawdown: $365.27 or 3.50%
Total trades: 83
Winning trades: 31.33% (26/83)
Profit factor: 2.419
Apple (45-minute timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $8,232.55 or +80.59%
Maximum drawdown: $581.11 or 3.16%
Total trades: 140
Winning trades: 34.29% (48/140)
Profit factor: 3.009
Apple (1-hour timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $9,685.89 or +94.93%
Maximum drawdown: $374.69 or 2.26%
Total trades: 118
Winning trades: 35.59% (42/118)
Profit factor: 3.463
Apple (2-hour timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $8,001.28 or +77.99%
Maximum drawdown: $755.84 or 7.56%
Total trades: 67
Winning trades: 41.79% (28/67)
Profit factor: 3.825
NVDA (15-minute timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $11,828.56 or +118.29%
Maximum drawdown: $1,275.43 or 8.06%
Total trades: 466
Winning trades: 28.11% (131/466)
Profit factor: 2.033
NVDA (30-minute timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $12,203.21 or +122.03%
Maximum drawdown: $1,661.86 or 10.35%
Total trades: 245
Winning trades: 28.98% (71/245)
Profit factor: 2.291
NVDA (45-minute timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $16,793.48 or +167.93%
Maximum drawdown: $1,458.81 or 8.40%
Total trades: 172
Winning trades: 33.14% (57/172)
Profit factor: 2.927
ATR Trend + RSI Pullback Strategy [Profit-Focused]This strategy is designed to catch high-probability pullbacks during strong trends using a combination of ATR-based volatility filters, RSI exhaustion levels, and a trend-following entry model.
Strategy Logic
Rather than relying on lagging crossovers, this model waits for RSI to dip into oversold zones (below 40) while price remains above a long-term EMA (default: 200). This setup captures pullbacks in strong uptrends, allowing traders to enter early in a move while controlling risk dynamically.
To avoid entries during low-volatility conditions or sideways price action, it applies a minimum ATR filter. The ATR also defines both the stop-loss and take-profit levels, allowing the model to adapt to changing market conditions.
Exit logic includes:
A take-profit at 3× the ATR distance
A stop-loss at 1.5× the ATR distance
An optional early exit if RSI crosses above 70, signaling overbought conditions
Technical Details
Trend Filter: 200 EMA – must be rising and price must be above it
Entry Signal: RSI dips below 40 during an uptrend
Volatility Filter: ATR must be above a user-defined minimum threshold
Stop-Loss: 1.5× ATR below entry price
Take-Profit: 3.0× ATR above entry price
Exit on Overbought: RSI > 70 (optional early exit)
Backtest Settings
Initial Capital: $10,000
Position Sizing: 5% of equity per trade
Slippage: 1 tick
Commission: 0.075% per trade
Trade Direction: Long only
Timeframes Tested: 15m, 1H, and 30m on trending assets like BTCUSD, NAS100, ETHUSD
This model is tuned for positive P&L across trending environments and volatile markets.
Educational Use Only
This strategy is for educational purposes only and should not be considered financial advice. Past performance does not guarantee future results. Always validate performance on multiple markets and timeframes before using it in live trading.
Bitcoin & Ethereum Profitable Crypto Investor – FREE EditionBitcoin & Ethereum Profitable Crypto Investor – FREE Edition
by RustyTradingScripts
This is the free, simplified edition of my long-term crypto trend-following strategy designed for Bitcoin, Ethereum, and other major assets. It provides an accessible introduction to the core concepts behind the full version while remaining easy to use, transparent, and beginner-friendly.
This FREE edition focuses on a single technical component: a 102-period Simple Moving Average trend model. When price moves above the SMA, the script considers it a potential long trend environment. When the slope begins to turn down, the strategy exits the position. This creates a straightforward, rules-based framework for identifying trend shifts without emotional or discretionary decision-making.
The goal of this simplified version is to help users understand how a structured trend approach behaves during different market conditions. It demonstrates how using a slow, objective indicator can reduce noise and provide clearer long-term directional context on higher timeframes such as the 10-hour BTC chart shown in the backtest example.
What This FREE Version Includes
- Trend-based entries using a 102-period SMA
- Automatic exits when the SMA slope turns down
- Clean visual plot of the moving average
- No repainting — signals are based on confirmed bar data
- Works on BTC, ETH, and other major crypto assets
- User-adjustable SMA length for customization
What’s Not Included in This Version:
This edition intentionally focuses on the essential trend logic only.
It does NOT include the following components found in the full investor strategy:
- Linear regression smoothing
- Seasonal filters
- Price-extension filtering
- Volume-based protection
- Partial stop-loss and partial take-profit systems
- Cooldown logic after profitable trades
- RSI-based extended exits
- Multi-layered trade management modules
The purpose of this free version is to provide a clear, functional introduction to the underlying trend concept without the advanced filters and risk-management features that are part of the complete system.
How to Use It
Apply the script to your preferred asset and timeframe (commonly higher timeframes such as 4H, 8H, 10H, 12H, or 1D). The script will enter long positions when the market is trading above the SMA and exit when the slope of the average begins to point downward. Users may adjust the SMA length to match their preferred level of responsiveness.
Important Notes
This script is for educational and analytical purposes.
Historical results are not guarantees of future performance.
Always practice proper risk management and perform your own testing.
This script does not repaint.
This FREE version is meant as a helpful starting point for those exploring long-term crypto trend strategies. If you find it useful and wish to explore more advanced tools, feel free to reach out for additional information.
BTC EMA 5-9 Flip Strategy AutobotThis strategy is designed for fast and accurate trend-following trades on Bitcoin.
It uses a crossover between EMA 5 and EMA 9 to detect instant trend reversals and automatically flips between Long and Short positions.
How the strategy works
EMA 5 crossing above EMA 9 → Long
EMA 5 crossing below EMA 9 → Short
Automatically closes the opposite trade during a flip
Executes trades only on candle close
Prevents double entries with internal position-state logic
Fully compatible with automated trading via webhooks (Delta Exchange)
Why this strategy works
EMA 5–9 is extremely responsive for BTC’s volatility
Captures trend reversals early
Works best on 15-minute timeframe
Clean, simple logic without over-filtering reduces missed opportunities
Performs well in both uptrends and downtrends
Automation Ready
This strategy includes alert conditions and webhook-ready JSON for automated execution.
This is a fast-reacting BTC bot designed for intraday and swing crypto trend trading.
CongTrader Strategy V1📈 CongTrader Strategy V1 — Official Overview
CongTrader Strategy V1 is a precision-built algorithm designed for intraday and swing traders who want a structured, rules-driven approach to capturing directional momentum while avoiding low-quality market conditions.
This strategy combines volatility-based logic, trend confirmation filters, and a market-conditioning engine to produce high-probability long and short signals with strictly candle-close confirmed entries (no intrabar repainting).
🔍 Core Philosophy
Modern markets move in bursts of volatility that are often preceded by subtle shifts in momentum and structure.
CongTrader V1 is engineered to:
identify emerging directional pressure early
filter out noise, consolidation, and choppy environments
only execute when multiple conditions align
maintain consistent, disciplined trade management
The result is a strategy that aims to trade quality over quantity, focusing on clear, structured setups rather than impulsive, intrabar signals.
🧠 Key Components (High-Level Explanation)
1️⃣ Directional Signal Engine (Trigger System)
The strategy uses a custom momentum-oscillation model to detect potential turning points and trend continuations.
This engine smooths price action, measures pressure extremes, and generates trigger crossovers that signal potential long or short opportunities.
(The exact formula and coefficients are proprietary and not displayed.)
2️⃣ ATR-Based Risk Management
Each trade is automatically paired with:
a volatility-adaptive stop loss, and
a volatility-adaptive profit target
This allows the strategy to adjust position management dynamically based on current market movement rather than fixed pip or dollar distances.
3️⃣ Trend Confirmation Filter (EMA)
A long-term EMA trend filter prevents counter-trend entries by ensuring:
Long positions trade only above trend
Short positions trade only below trend
This keeps signals aligned with higher-timeframe momentum.
4️⃣ VWAP Institutional Bias Filter
VWAP is used as a dynamic market fair-value reference.
The strategy only trades when price action shows favorable positioning relative to VWAP—helping avoid false moves and mean-reversion traps.
5️⃣ Range & Volatility Filter
A volatility/range filter avoids entering during tight consolidations.
If the market is not moving or lacks range expansion, the strategy waits patiently.
This significantly reduces chop and whipsaw trades.
6️⃣ RTH (Regular Trading Hours) Protection
Optionally limits trades to regular exchange hours for traders who avoid low-liquidity overnight sessions.
⏳ Candle-Close Entry Confirmation (No Repainting)
All entries are strictly confirmed after the bar closes, which means:
No intrabar fakeouts
No signal disappearance
No repainting
Cleaner, more realistic backtesting
This ensures the strategy behaves the same in backtests and in live charts.
🎯 Trade Logic Summary
A trade is only taken when:
✔ A directional trigger signal occurs
✔ Price meets VWAP bias conditions
✔ Price aligns with the long-term trend
✔ Sufficient volatility/range is present
✔ (Optional) Within regular trading hours
✔ The candle has fully confirmed
Every trade is managed automatically with ATR-based stop loss and take profit placement.
📊 Who This Strategy Is For
CongTrader V1 works well for:
Intraday traders (1–15m)
Swing traders (30m–4h)
Momentum and trend-followers
Algorithmic traders looking for disciplined, rules-based entries
Traders who want cleaner signals and less noise
Anyone who wants to avoid low-quality, choppy markets
🔔 Alerts Included
Built-in alerts notify you instantly when conditions for long or short entries are met, making it suitable for:
Manual execution
Automated trading systems
Signal services
🧩 Important Note
This strategy is designed for educational purposes and is not financial advice. Performance may vary depending on market conditions, broker feed, and instrument volatility. Always backtest thoroughly and use risk management.
RubberBand Scalp NQ Strategy (V6 - High PF Focus)
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RUBBERBAND SCALP NQ (V6 - HIGH PF FOCUS)
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// STRATEGY OVERVIEW
// -----------------
// Instrument: NQ (Nasdaq 100 E-mini Futures)
// Style: Intraday mean-reversion scalping
// Core Idea: Price "stretches" away from VWAP, then "snaps back" → enter on strong reversal
// Session: 9:00 AM – 2:30 PM CST (America/Chicago)
// Timeframe: 1–5 min (ideal: 2–3 min)
// Position: 2 contracts, pyramiding = 0
// Commission: $2.00 per contract
// Goal: High Profit Factor via asymmetric exits (1R fixed + unlimited runner)
// KEY FILTERS
// -----------
// • Only trade when ATR(15) > 5.0 points (~$100 range) → avoids chop
// • Must be in session → forces flat at 2:30 PM
// • VWAP proximity: price must touch within 0.5 × ATR of VWAP
// ENTRY LOGIC (LONG)
// -----------------
// 1. In session & no position
// 2. Close > Open (bullish bar)
// 3. Close > highest high of last 4 bars → momentum confirmation
// 4. Close > VWAP
// 5. Low < VWAP + (0.5 × ATR) → pullback reached VWAP zone
// 6. ATR > 5.0
// 7. Bar confirmed
// → Plot green triangle below bar
// ENTRY LOGIC (SHORT) – Symmetric
// -----------------
// 1. Close < Open
// 2. Close < lowest low of last 4 bars
// 3. Close < VWAP
// 4. High > VWAP - (0.5 × ATR)
// 5. ATR > 5.0
// → Plot red triangle above bar
// STOP LOSS – DUAL SYSTEM (Widest Stop Wins)
// -----------------------------------------
// VWAP Stop (Long): VWAP - 0.20
// ATR Stop (Long): Close - min(ATR × 1.0, 15.0)
// Final Stop: MAX(VWAP Stop, ATR Stop) → then CAP at Close - 0.20
// Short: MIN of both → FLOOR at Close + 0.20
// → Max buffer: 0.20 pts = $20 (4 ticks)
// → Risk = |Entry – Final Stop|
// PROFIT TAKING – 2 CONTRACTS
// ---------------------------
// Contract #1: Fixed 1R → limit = entry + risk (long) / entry - risk (short)
// Contract #2: Trailing stop only → trail_points = risk, trail_offset = 0
// NO FIXED TAKE PROFIT ON RUNNER → lets 3R, 5R, 10R+ winners run
// BUG: Short runner uses trail_offset = 1.5 → CHANGE TO 0
// V6 IMPROVEMENTS
// ---------------
// 1. ATR_STOP_MULTIPLIER reduced from 1.5 → 1.0 → tighter average loss
// 2. Removed fixed 2R cap on runner → unlimited upside
// 3. Widest-stop logic → prevents premature stop-outs
// TRADE EXAMPLE (LONG)
// -------------------
// Entry: 18,125 (2 contracts)
// Stop: 18,110 → Risk = $300/contract
// 1R: 18,155 → Contract #1 exits (+$600)
// Runner trails by $300 → exits at 18,425 (+$6,000)
// Total P&L: +$6,600
// PERFORMANCE EXPECTATIONS
// ------------------------
// Win Rate: 40–50%
// Avg Winner: >3× avg loser
// Profit Factor: 2.0–3.5+
// Max Drawdown: <5% (with risk controls)
// DAILY CHECKLIST
// ---------------
// 2–3 min NQ chart
// Timezone: America/Chicago
// ATR > 5.0
// Price touched VWAP zone
// 4-bar breakout confirmed
// trail_offset = 0 (both sides)
// Alerts on
// Log R-multiple
// FINAL NOTES
// -----------
// This is a PROFIT FACTOR system — not a high win-rate system.
// Success = discipline + volatility + clean execution.
================================================================================
MSB Trend Breakout Strategy V7**MSB Trend Breakout Strategy V7**
This is the full, high-precision automated strategy designed for disciplined traders who understand directional price action. The script functions as a robust **entry and trade management tool** following two proprietary concepts:
**1. Trend Confirmation:** A customized Moving Average filter is utilized to ensure entries strictly align with the dominant market flow.
**2. Momentum Confirmation:** The system uses a specific short-term **multi-bar breakout range** to pinpoint high-probability entries at the start of a momentum shift, avoiding choppy market conditions.
**Key Features:**
* **Automated Risk Management:** Includes complete dynamic Stop Loss (SL) and Take Profit (TP) order management to ensure capital preservation.
* **Time Filter:** Optimizes performance by filtering signals to the most liquid Forex trading hours (01:00 to 19:00, broker time).
**PREREQUISITE FOR ACCESS:**
This is an advanced tool. To utilize the strategy effectively, the user should have a foundational understanding of directional bias and trade management principles.
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**Important Note & Risk Disclosure:**
This strategy is published under **Invite-only** protection. The script does not provide financial advice or guarantee profits. Past performance is not indicative of future results.






















