Sniper Trade Pro (ES 15-Min) - Topstep Optimized🔹 Overview
Sniper Trade Pro is an advanced algorithmic trading strategy designed specifically for E-mini S&P 500 (ES) Futures on the 15-minute timeframe. This strategy is optimized for Topstep 50K evaluations, incorporating strict risk management to comply with their max $1,000 daily loss limit while maintaining a high probability of success.
It uses a multi-confirmation approach, integrating:
✅ Money Flow Divergence (MFD) → To track liquidity imbalances and institutional accumulation/distribution.
✅ Trend Confirmation (EMA + VWAP) → To identify strong trend direction and avoid choppy markets.
✅ ADX Strength Filter → To ensure entries only occur in trending conditions, avoiding weak setups.
✅ Break-Even & Dynamic Stop-Losses → To reduce drawdowns and protect profits dynamically.
This script automatically generates Buy and Sell signals and provides built-in risk management for automated trading execution through TradingView Webhooks.
🔹 How Does This Strategy Work?
📌 1. Trend Confirmation (EMA + VWAP)
The strategy uses:
✔ 9-EMA & 21-EMA: Fast-moving averages to detect short-term momentum.
✔ VWAP (Volume-Weighted Average Price): Ensures trades align with institutional volume flow.
How it works:
Bullish Condition: 9-EMA above 21-EMA AND price above VWAP → Confirms buy trend.
Bearish Condition: 9-EMA below 21-EMA AND price below VWAP → Confirms sell trend.
📌 2. Liquidity & Money Flow Divergence (MFD)
This indicator measures liquidity shifts by tracking momentum changes in price and volume.
✔ MFD Calculation:
Uses Exponential Moving Average (EMA) of Momentum (MOM) to detect changes in buying/selling pressure.
If MFD is above its moving average, it signals liquidity inflows → bullish strength.
If MFD is below its moving average, it signals liquidity outflows → bearish weakness.
Why is this important?
Detects when Smart Money is accumulating or distributing before major moves.
Filters out false breakouts by confirming momentum strength before entry.
📌 3. Trade Entry Triggers (Candlestick Patterns & ADX Filter)
To avoid random entries, the strategy waits for specific candlestick confirmations with ADX trend strength:
✔ Bullish Entry (Buy Signal) → Requires:
Bullish Engulfing Candle (Reversal confirmation)
ADX > 20 (Ensures strong trending conditions)
MFD above its moving average (Liquidity inflows)
9-EMA > 21-EMA & price above VWAP (Trend confirmation)
✔ Bearish Entry (Sell Signal) → Requires:
Bearish Engulfing Candle (Reversal confirmation)
ADX > 20 (Ensures strong trending conditions)
MFD below its moving average (Liquidity outflows)
9-EMA < 21-EMA & price below VWAP (Trend confirmation)
📌 4. Risk Management & Profit Protection
This strategy is built with strict risk management to maintain low drawdowns and maximize profits:
✔ Dynamic Position Sizing → Automatically adjusts trade size to risk a fixed $400 per trade.
✔ Adaptive Stop-Losses → Uses ATR-based stop-loss (0.8x ATR) to adapt to market volatility.
✔ Take-Profit Targets → Fixed at 2x ATR for a Risk:Reward ratio of 2:1.
✔ Break-Even Protection → Moves stop-loss to entry once price moves 1x ATR in profit, locking in gains.
✔ Max Daily Loss Limit (-$1,000) → Stops trading if total losses exceed $1,000, complying with Topstep rules.
อินดิเคเตอร์และกลยุทธ์
30 Göstergeli Strateji (BAKİ REİS)Önemli Uyarılar:
Sinyal Çakışmaları: 30 gösterge aynı anda kullanıldığında sinyaller birbirini iptal edebilir.
Optimizasyon: ta.wpr() parametrelerini (14 yerine 20) test edin.
Performans: Bu kadar çok gösterge, grafikte yavaşlamaya neden olabilir.
RSI INPROFIT StrategyEstrategia basada en RSI compra en niveles de sobre venta y vende en niveles de sobre compra. Hay que optimizarla usando filtro de tendencias MTF EMA 50 y EMA200. Si alguien sabe como hacerlo, bienvenida la ayuda. Saludos.-
Adaptive Trading StrategyTrend-Following Strategy: Buys when the fast moving average crosses above the slow moving average and sells when it crosses below.
Momentum-Based Strategy: Uses RSI to detect overbought/oversold conditions.
Volatility-Based Strategy: Uses Bollinger Bands to buy near the lower band and sell near the upper band.
It uses moving averages for trend-following, RSI for momentum, and Bollinger Bands for volatility-based strategies. The script dynamically adjusts between different strategies based on market conditions.
This script adapts dynamically based on the prevailing market conditions. Let me know if you want any modifications!
EMA Cross with Stop Loss and Take Profit with HTF ConfirmationEMA based entry signal, using HTFs for verification of trend direction before entry on LTFs
Gold Trading Bot with Robust Risk ManagementMarket Focus:
The script is now clearly labeled for gold trading. When using it, load a gold chart (such as XAUUSD) on TradingView.
Risk Management:
It uses an ATR-based stop loss and take profit mechanism. The stop loss and take profit distances adjust dynamically with market volatility, which is particularly useful in the sometimes volatile gold market.
Strategy Logic:
A simple moving average crossover triggers a long position. This example is a starting point; you might want to experiment with different indicators or add short conditions depending on your approach.
Customization:
While the default values (e.g., ATR period, multipliers, MA lengths) provide a solid foundation, consider optimizing these settings through backtesting specifically for gold to match its price dynamics.
BTC 5-Min Trend Breakout📊 Strategy Overview:
✔ EMA Trend Confirmation → Trades only in the direction of the trend (EMA 50 & EMA 200).
✔ Breakout Strategy → Only buys breakouts above resistance and sells breakdowns below support.
✔ High Volume Filter → Confirms strong moves with high volume.
✔ RSI Check → Prevents entries in overbought/oversold conditions.
✔ Dynamic Stop Loss & Take Profit → Uses ATR to adjust risk levels dynamically.
✔ Alerts & Markers → Provides BUY/SELL signals and triggers alerts.
Hierarchical + K-Means Clustering Strategy===== USER GUIDE =====
Hierarchical + K-Means Clustering Strategy
OVERVIEW:
This strategy combines hierarchical clustering and K-means algorithms to analyze market volatility patterns
and generate trading signals. It uses a modified SuperTrend indicator with ATR-based volatility clustering
to identify potential trend changes and market conditions.
KEY FEATURES:
- Advanced volatility analysis using hierarchical clustering and K-means algorithms
- Modified SuperTrend indicator for trend identification
- Multiple filter options including moving average and ADX trend strength
- Volume-based exit mechanism to protect profits
- Customizable appearance settings
SETTINGS EXPLANATION:
1. SuperTrend Settings:
- ATR Length: Period for ATR calculation (default: 11)
- SuperTrend Factor: Multiplier for ATR to determine trend bands (default: 3)
2. Hierarchical Clustering Settings:
- Training Data Length: Number of bars used for clustering analysis (default: 200)
3. Appearance Settings:
- Transparency 1 & 2: Control the opacity of trend lines and fills
- Bullish/Bearish Color: Colors for uptrend and downtrend visualization
4. Time Settings:
- Start Year/Month: Define when the strategy should start executing trades
5. Filter Settings:
- Moving Average Filter: Uses SMA to filter trades (only enter when price is on correct side of MA)
- Trend Strength Filter: Uses ADX to ensure trades are taken in strong trend conditions
6. Volume Stop Loss Settings:
- Volume Ratio Threshold: Controls sensitivity of volume-based exits
- Monitoring Delay Bars: Number of bars to wait before monitoring volume for exit signals
HOW TO USE:
1. Apply the indicator to your chart
2. Adjust settings according to your trading preferences and timeframe
3. Long signals appear when price crosses above the SuperTrend line (▲k marker)
4. Short signals appear when price crosses below the SuperTrend line (▼k marker)
5. The strategy automatically manages exits based on volume balance conditions
INTERPRETATION:
- Green line/area: Bullish trend - consider long positions
- Red line/area: Bearish trend - consider short positions
- Yellow line: Moving average for additional trend confirmation
- Volume balance exits occur when buying/selling pressure equalizes
RECOMMENDED TIMEFRAMES:
This strategy works best on 1H, 4H, and daily charts for most markets.
For highly volatile assets, shorter timeframes may also be effective.
RISK MANAGEMENT:
Always use proper position sizing and consider setting additional stop losses
beyond the strategy's built-in exit mechanisms.
===== END OF USER GUIDE =====
NDX Scalping StrategySignals Long and Short Entries using moving averages with profit targets on NDX
BRAHIM KHATTARA Components of the Strategy
Input Settings:
RSI Oversold Level: Set at 30, meaning the asset is considered oversold when RSI drops below this level.
RSI Overbought Level: Set at 70, meaning the asset is considered overbought when RSI rises above this level.
Stop Loss: A percentage-based stop loss (default: 1%).
Take Profit: A percentage-based take profit level (default: 2%).
Trade Entry Conditions:
A buy trade (long position) is triggered when the RSI is below 30 and was previously above 30 in the last candle.
A sell trade (short position) is triggered when the RSI is above 70 and was previously below 70 in the last candle.
Risk Management:
When a long position is opened:
The take profit is set 2% above the entry price.
The stop loss is set 1% below the entry price.
When a short position is opened:
The take profit is set 2% below the entry price.
The stop loss is set 1% above the entry price.
Buy and Sell Signals on the Chart:
A "BUY" label appears below the candles when a buy condition is met.
A "SELL" label appears above the candles when a sell condition is met.
Fibonacci Bollinger Bands:
The middle line is calculated using VWMA (Volume-Weighted Moving Average).
The bands are calculated using standard deviation with Fibonacci levels: 0.236, 0.382, 0.5, 0.618, 0.764, and 1.0.
The upper bands act as resistance, while the lower bands act as support.
✅ Advantages of the Strategy
✔️ Simple and easy to understand, relying only on RSI and support/resistance levels.
✔️ Suitable for scalping and swing trading.
✔️ Uses Fibonacci Bollinger Bands to improve entry and exit accuracy.
✔️ Clear risk management with predefined stop loss and take profit levels.
Multi-Timeframe Strategy with Time FiltersLooks at overall trend on 15 minute timeframe and identifies candlestick types on 1 minute time frame to determine entry. Does not execute trades too close to market open or close and doesn't hold any trades past the end of trading day.
My Buy Signal Strategy"My Buy Signal Strategy", teknik analiz göstergeleri ve mum formasyonlarını birleştirerek piyasada alım fırsatlarını tespit etmeyi amaçlayan esnek ve özelleştirilebilir bir stratejidir. 9 koşuluyla, kullanıcıların ihtiyaçlarına göre uyarlanabilir ve TradingView üzerinde kolayca test edilebilir. Strateji, hem trend takip hem de dönüş sinyallerini yakalamak için dengeli bir yaklaşım sunar.
My Buy Signal Strategy"Hugo v.1.0", teknik analiz göstergeleri ve mum formasyonlarını birleştirerek piyasada alım fırsatlarını tespit etmeyi amaçlayan esnek ve özelleştirilebilir bir stratejidir. 9 koşuluyla, kullanıcıların ihtiyaçlarına göre uyarlanabilir ve TradingView üzerinde kolayca test edilebilir. Strateji, hem trend takip hem de dönüş sinyallerini yakalamak için dengeli bir yaklaşım sunar.
Buy/Sell StrategyStrategy Description:
This strategy combines technical analysis with short-term buy and sell signals to help you optimize profits. To enhance your results, it's essential to incorporate additional technical indicators, such as moving averages, for better profitability.
Adaptive Trend Continuation StrategyStrategy Explanation: This is a Trend continuation Strategy that uses directional measures to inform trade decisions.
Trend Identification: The ADX indicator measures trend strength. An ADX value above 25 signifies a strong trend, aligning with research indicating that trends, once established, tend to continue.
Entry Criteria: The strategy detects bullish flag patterns, which are known to have a high success rate in predicting upward continuations.
STRIKE.MONEY (www.strike.money)
A breakout from this pattern, confirmed by higher-than-average volume, serves as the entry signal.
Risk Management: The ATR is employed to set dynamic stop-loss levels, adjusting for market volatility. Position sizing is calculated based on a fixed percentage of capital at risk per trade, ensuring consistent risk management.
Exit Strategy: A stop-loss is placed at 1.5 times the ATR below the entry price, and a take-profit is set at 3 times the ATR above the entry price, establishing a 2:1 reward-to-risk ratio.
5. Known Limitations and Edge Cases:
False Breakouts: Not all breakouts lead to sustained trends. The volume confirmation filter aims to mitigate this risk, but false signals can still occur.
Market Conditions: The strategy may underperform in choppy or sideways markets where clear trends are absent.
Pattern Recognition: The simplified detection of bullish flag patterns may not capture all valid patterns or might identify false ones.
OB-MSS-FVG StrategyStrategy Explanation:
Identify the Order Block
Look for the last bearish (red) candle before a sustained rally. This candle represents the Order Block, signaling institutional buying/selling activity.
Confirm the Order Block is validated by a liquidity sweep (price briefly wicks into a prior swing high/low to trigger stop orders before reversing).
Confirm Market Structure Shift (MSS)
A ChoCh (Change of Character) occurs when price breaks a prior swing high in a downtrend (or low in an uptrend).
Validate with upward displacement: A strong bullish candle closing above the Order Block, confirming trend reversal.
Locate High-Probability FVGs
FVG Definition: A 3-candle pattern where the middle candle gaps above/below adjacent candles (e.g., bullish FVG in a downtrend).
Conditions for FVG:
a. Unmitigated: Price hasn’t retested the FVG zone.
b. No close below: If tested, price should not close below the FVG (bullish confirmation).
c. Confluence: FVG aligns with a key level (e.g., trendline, Order Block, or Fibonacci retracement).
d. Prioritize farthest FVG: The earliest FVG after the ChoCh is stronger (less likely to be a retracement trap).
e. Fibonacci Filter: Draw Fib (0–100%) from the swing low to high of the rally. Strong FVGs lie between 0–50%; avoid those above 50%.
f. BOS/ChoCH Confirmation: FVG must form after a Break of Structure (BOS) or ChoCh, alongside a liquidity sweep (e.g., stop runs).
Entry, Stop Loss, and Take Profit
Entry: Enter long when price retests the FVG (preferably in the 0–50% Fib zone) and shows rejection (e.g., bullish pin bar, engulfing).
Stop Loss: Place below the FVG’s low or the Order Block’s low, whichever is lower.
Take Profit: Target the next liquidity zone (prior swing high) or use a trailing stop after a BOS.
Example Scenario
Downtrend: Price sweeps liquidity below a swing low.
MSS: Price rallies, breaks the prior swing high (ChoCh).
FVG Formation: A bullish FVG appears during the rally.
Fib Confluence: FVG lies between 0–50% of the rally’s Fib retracement.
Entry: Price retraces to FVG, bounces with a bullish candle.
Exit: Profit at next swing high or liquidity pool.
5 Dakika Özel AL-SAT5 Dakikalık Performans Optimizasyonları:
Hızlı EMA Kesmeleri: 20/50 EMA kombinasyonu
Agresif Risk Yönetimi: %0.25 SL / %0.50 TP
Hacim Spike Filtresi: 1.5x ortalama hacim zorunlu
Dar Bollinger Bandı: 1.8 standart sapma ile
RSI Thresholds: 38/62 seviyelerinde
Kullanım Önerileri:
Zaman Seçimi:
Londra Açılışı (08:00 TSİ)
New York Açılışı (14:30 TSİ)
Enstrüman Seçimi:
EUR/USD, GBP/USD, BTC/USDT gibi yüksek likidite çiftleri
Risk Yönetimi:
Maksimum pozisyon büyüklüğü: %2-5 sermaye
Günde maksimum 5 işlem kuralı
TMA StrategyThe **TMA Strategy** is a trend-following strategy that leverages **Smoothed Moving Averages (SMMA)** and **candlestick patterns** to identify high-probability trading opportunities. It is designed for traders who want to capture strong trends while minimizing noise from short-term fluctuations.
**Key Features:**
✔ **Multiple Smoothed Moving Averages (SMMA):** Uses 21, 50, 100, and 200-period SMMAs to identify market trends and key support/resistance zones.
✔ **Candlestick Pattern Confirmation:** Incorporates **3-line strike** and **engulfing candle** patterns to confirm trade entries.
✔ **Dynamic Trend Filter:** A **2-period EMA** ensures that trades align with the dominant trend, reducing false signals.
✔ **Customizable Session Filter:** Allows users to enable/disable trading within specific market sessions (New York, London, Tokyo, etc.), ensuring trades are executed only during high-liquidity hours.
✔ **Risk Management:** Uses predefined exit conditions based on EMA/SMMA crossovers to lock in profits and minimize losses.
**Trading Logic:**
📌 **Long Entry:**
- Bullish Engulfing or 3-Line Strike pattern appears.
- Price is above the 200 SMMA.
- 2 EMA confirms an uptrend.
- Trade executes if session filter allows.
📌 **Short Entry:**
- Bearish Engulfing or 3-Line Strike pattern appears.
- Price is below the 200 SMMA.
- 2 EMA confirms a downtrend.
- Trade executes if session filter allows.
📌 **Exit Conditions:**
- Long trades exit when EMA(2) crosses **below** SMMA(200).
- Short trades exit when EMA(2) crosses **above** SMMA(200).
**Ideal Markets & Timeframes:**
✅ Best suited for **Forex, Stocks, and Crypto** markets.
✅ Works well on **higher timeframes (15m, 1H, 4H, Daily)** for stronger trend confirmation.
📢 **Disclaimer:**
This strategy is for educational purposes only. Backtest results do not guarantee future performance. Always use proper risk management and test in a demo account before live trading.
🚀 **Try the TMA Strategy now and enhance your trend-following approach!**
MY3 ADX+StokastikBu strateji, ADX’nin manuel hesaplaması ve Stokastik göstergesinin sinyallerini kullanarak potansiyel alım ve satım noktalarını belirlemeyi amaçlar.
Divergence IQ [TradingIQ]Hello Traders!
Introducing "Divergence IQ"
Divergence IQ lets traders identify divergences between price action and almost ANY TradingView technical indicator. This tool is designed to help you spot potential trend reversals and continuation patterns with a range of configurable features.
Features
Divergence Detection
Detects both regular and hidden divergences for bullish and bearish setups by comparing price movements with changes in the indicator.
Offers two detection methods: one based on classic pivot point analysis and another that provides immediate divergence signals.
Option to use closing prices for divergence detection, allowing you to choose the data that best fits your strategy.
Normalization Options:
Includes multiple normalization techniques such as robust scaling, rolling Z-score, rolling min-max, or no normalization at all.
Adjustable normalization window lets you customize the indicator to suit various market conditions.
Option to display the normalized indicator on the chart for clearer visual comparison.
Allows traders to take indicators that aren't oscillators, and convert them into an oscillator - allowing for better divergence detection.
Simulated Trade Management:
Integrates simulated trade entries and exits based on divergence signals to demonstrate potential trading outcomes.
Customizable exit strategies with options for ATR-based or percentage-based stop loss and profit target settings.
Automatically calculates key trade metrics such as profit percentage, win rate, profit factor, and total trade count.
Visual Enhancements and On-Chart Displays:
Color-coded signals differentiate between bullish, bearish, hidden bullish, and hidden bearish divergence setups.
On-chart labels, lines, and gradient flow visualizations clearly mark divergence signals, entry points, and exit levels.
Configurable settings let you choose whether to display divergence signals on the price chart or in a separate pane.
Performance Metrics Table:
A performance table dynamically displays important statistics like profit, win rate, profit factor, and number of trades.
This feature offers an at-a-glance assessment of how the divergence-based strategy is performing.
The image above shows Divergence IQ successfully identifying and trading a bullish divergence between an indicator and price action!
The image above shows Divergence IQ successfully identifying and trading a bearish divergence between an indicator and price action!
The image above shows Divergence IQ successfully identifying and trading a hidden bullish divergence between an indicator and price action!
The image above shows Divergence IQ successfully identifying and trading a hidden bearish divergence between an indicator and price action!
The performance table is designed to provide a clear summary of simulated trade results based on divergence setups. You can easily review key metrics to assess the strategy’s effectiveness over different time periods.
Customization and Adaptability
Divergence IQ offers a wide range of configurable settings to tailor the indicator to your personal trading approach. You can adjust the lookback and lookahead periods for pivot detection, select your preferred method for normalization, and modify trade exit parameters to manage risk according to your strategy. The tool’s clear visual elements and comprehensive performance metrics make it a useful addition to your technical analysis toolbox.
The image above shows Divergence IQ identifying divergences between price action and OBV with no normalization technique applied.
While traders can look for divergences between OBV and price, OBV doesn't naturally behave like an oscillator, with no definable upper and lower threshold, OBV can infinitely increase or decrease.
With Divergence IQ's ability to normalize any indicator, traders can normalize non-oscillator technical indicators such as OBV, CVD, MACD, or even a moving average.
In the image above, the "Robust Scaling" normalization technique is selected. Consequently, the output of OBV has changed and is now behaving similar to an oscillator-like technical indicator. This makes spotting divergences between the indicator and price easier and more appropriate.
The three normalization techniques included will change the indicator's final output to be more compatible with divergence detection.
This feature can be used with almost any technical indicator.
Stop Type
Traders can select between ATR based profit targets and stop losses, or percentage based profit targets and stop losses.
The image above shows options for the feature.
Divergence Detection Method
A natural pitfall of divergence trading is that it generally takes several bars to "confirm" a divergence. This makes trading the divergence complicated, because the entry at time of the divergence might look great; however, the divergence wasn't actually signaled until several bars later.
To circumvent this issue, Divergence IQ offers two divergence detection mechanisms.
Pivot Detection
Pivot detection mode is the same as almost every divergence indicator on TradingView. The Pivots High Low indicator is used to detect market/indicator highs and lows and, consequently, divergences.
This method generally finds the "best looking" divergences, but will always take additional time to confirm the divergence.
Immediate Detection
Immediate detection mode attempts to reduce lag between the divergence and its confirmation to as little as possible while avoiding repainting.
Immediate detection mode still uses the Pivots Detection model to find the first high/low of a divergence. However, the most recent high/low does not utilize the Pivot Detection model, and instead immediately looks for a divergence between price and an indicator.
Immediate Detection Mode will always signal a divergence one bar after it's occurred, and traders can set alerts in this mode to be alerted as soon as the divergence occurs.
TradingView Backtester Integration
Divergence IQ is fully compatible with the TradingView backtester!
Divergence IQ isn’t designed to be a “profitable strategy” for users to trade. Instead, the intention of including the backtester is to let users backtest divergence-based trading strategies between the asset on their chart and almost any technical indicator, and to see if divergences have any predictive utility in that market.
So while the backtester is available in Divergence IQ, it’s for users to personally figure out if they should consider a divergence an actionable insight, and not a solicitation that Divergence IQ is a profitable trading strategy. Divergence IQ should be thought of as a Divergence backtesting toolkit, not a full-feature trading strategy.
Strategy Properties Used For Backtest
Initial Capital: $1000 - a realistic amount of starting capital that will resonate with many traders
Amount Per Trade: 5% of equity - a realistic amount of capital to invest relative to portfolio size
Commission: 0.02% - a conservative amount of commission to pay for trade that is standard in crypto trading, and very high for other markets.
Slippage: 1 tick - appropriate for liquid markets, but must be increased in markets with low activity.
Once more, the backtester is meant for traders to personally figure out if divergences are actionable trading signals on the market they wish to trade with the indicator they wish to use.
And that's all!
If you have any cool features you think can benefit Divergence IQ - please feel free to share them!
Thank you so much TradingView community!
Double Bollinger Bands Strategy with Signals (By Rolwin)Double Bollinger Bands Strategy with Signals 1.0 (By Rolwin)
📌 Overview
The Double Bollinger Bands Strategy is a trend-following system that utilizes two sets of Bollinger Bands (2 standard deviations and 3 standard deviations) to identify high-probability entry and exit points. This strategy helps traders capitalize on strong price movements and potential reversals by detecting overbought and oversold conditions more effectively.
📊 How It Works
• Bollinger Bands Setup:
o Middle Band: 20-period Simple Moving Average (SMA)
o Upper & Lower Bands (2 SD): Standard Bollinger Bands (±2 standard deviations)
o Extreme Bands (3 SD): Additional Bollinger Bands (±3 standard deviations) for extreme price moves
• Entry Signals:
✅ Buy (Long Entry): When the price crosses above the lower 3SD band (oversold zone)
❌ Sell (Short Entry): When the price crosses below the upper 3SD band (overbought zone)
• Exit Signals:
🔼 Exit Long: When the price reaches the upper 2SD band
🔽 Exit Short: When the price reaches the lower 2SD band
• Additional Features:
✅ Buy & Sell Signals plotted directly on the chart
🎨 Candles turn white when price touches the extreme 3SD band
🔥 Why Use This Strategy?
✔️ Clear Entry & Exit Points: Based on strong statistical levels
✔️ Effective in Trending & Reversal Markets: Captures both momentum & mean reversion setups
✔️ Easy-to-Use Visualization: Signals & bands make it beginner-friendly
✔️ Customizable: Adjust Bollinger Band length and multipliers to fit different assets & timeframes
⚠️ Risk Management Tip
While this strategy provides high-probability trade signals, it is essential to use stop-loss orders (e.g., ATR-based) and proper position sizing to manage risk effectively.
📈 Try it out and optimize the settings for your favorite markets! 🚀
TEMA OBOS Strategy PakunTEMA OBOS Strategy
Overview
This strategy combines a trend-following approach using the Triple Exponential Moving Average (TEMA) with Overbought/Oversold (OBOS) indicator filtering.
By utilizing TEMA crossovers to determine trend direction and OBOS as a filter, it aims to improve entry precision.
This strategy can be applied to markets such as Forex, Stocks, and Crypto, and is particularly designed for mid-term timeframes (5-minute to 1-hour charts).
Strategy Objectives
Identify trend direction using TEMA
Use OBOS to filter out overbought/oversold conditions
Implement ATR-based dynamic risk management
Key Features
1. Trend Analysis Using TEMA
Uses crossover of short-term EMA (ema3) and long-term EMA (ema4) to determine entries.
ema4 acts as the primary trend filter.
2. Overbought/Oversold (OBOS) Filtering
Long Entry Condition: up > down (bullish trend confirmed)
Short Entry Condition: up < down (bearish trend confirmed)
Reduces unnecessary trades by filtering extreme market conditions.
3. ATR-Based Take Profit (TP) & Stop Loss (SL)
Adjustable ATR multiplier for TP/SL
Default settings:
TP = ATR × 5
SL = ATR × 2
Fully customizable risk parameters.
4. Customizable Parameters
TEMA Length (for trend calculation)
OBOS Length (for overbought/oversold detection)
Take Profit Multiplier
Stop Loss Multiplier
EMA Display (Enable/Disable TEMA lines)
Bar Color Change (Enable/Disable candle coloring)
Trading Rules
Long Entry (Buy Entry)
ema3 crosses above ema4 (Golden Cross)
OBOS indicator confirms up > down (bullish trend)
Execute a buy position
Short Entry (Sell Entry)
ema3 crosses below ema4 (Death Cross)
OBOS indicator confirms up < down (bearish trend)
Execute a sell position
Take Profit (TP)
Entry Price + (ATR × TP Multiplier) (Default: 5)
Stop Loss (SL)
Entry Price - (ATR × SL Multiplier) (Default: 2)
TP/SL settings are fully customizable to fine-tune risk management.
Risk Management Parameters
This strategy emphasizes proper position sizing and risk control to balance risk and return.
Trading Parameters & Considerations
Initial Account Balance: $7,000 (adjustable)
Base Currency: USD
Order Size: 10,000 USD
Pyramiding: 1
Trading Fees: $0.94 per trade
Long Position Margin: 50%
Short Position Margin: 50%
Total Trades (M5 Timeframe): 128
Deep Test Results (2024/11/01 - 2025/02/24)BTCUSD-5M
Total P&L：+1638.20USD
Max equity drawdown：694.78USD
Total trades：128
Profitable trades:44.53
Profit factor:1.45
These settings aim to protect capital while maintaining a balanced risk-reward approach.
Visual Support
TEMA Lines (Three EMAs)
Trend direction is indicated by color changes (Blue/Orange)
ema3 (short-term) and ema4 (long-term) crossover signals potential entries
OBOS Histogram
Green → Strong buying pressure
Red → Strong selling pressure
Blue → Possible trend reversal
Entry & Exit Markers
Blue Arrow → Long Entry Signal
Red Arrow → Short Entry Signal
Take Profit / Stop Loss levels displayed
Strategy Improvements & Uniqueness
This strategy is based on indicators developed by "l_lonthoff" and "jdmonto0", but has been significantly optimized for better entry accuracy, visual clarity, and risk management.
Enhanced Trend Identification with TEMA
Detects early trend reversals using ema3 & ema4 crossover
Reduces market noise for a smoother trend-following approach
Improved OBOS Filtering
Prevents excessive trading
Reduces unnecessary risk exposure
Dynamic Risk Management with ATR-Based TP/SL
Not a fixed value → TP/SL adjusts to market volatility
Fully customizable ATR multiplier settings
(Default: TP = ATR × 5, SL = ATR × 2)
Summary
The TEMA + OBOS Strategy is a simple yet powerful trading method that integrates trend analysis and oscillators.
TEMA for trend identification
OBOS for noise reduction & overbought/oversold filtering
ATR-based TP/SL settings for dynamic risk management
Before using this strategy, ensure thorough backtesting and demo trading to fine-tune parameters according to your trading style.
