Al Brooks H2/L2 StrategyAl Brooks H2/L2 Trading Strategy Guide
This strategy is only an aid to help traders be disciplined and should be tuned to the market the trader is anticipating will unfold. No automated strategy can replace proper market analysis and risk management.
This is not a 100% automated strategy, it is just a tool to trader price action based on an existing bias.
This strategy will pyramid by default
In strategy settings set the max number of pyramid entries or it will continually add to winning positions.
Note that this strategy does not label the bars, if you want to see the labels use my indicator:
You can trade this strategy automatically using:
1. TradersPost
2. Apex Trader Funding
Overview
The Al Brooks H2/L2 Strategy is based on the price action trading principles of renowned trader Al Brooks. It identifies potential reversal points in the market by locating specific bar patterns that occur after opposing price movement. The strategy looks for H2 (second Higher high) signals for long entries and L2 (second Lower low) signals for short entries.
Key Features
Identifies H2 and L2 signals based on Al Brooks' price action methodology
Optional requirement for consecutive opposing bars for stronger signal quality
Multiple entry types including standard H2/L2, H2+MDB (micro double bottom), L2+MDT (micro double top), and more
Flexible exit strategies including signal-based exits, time-based exits, or trailing stops
Comprehensive risk management with customizable stop loss and take profit levels
Automatic end-of-day liquidation for intraday traders
Signal Generation Logic
The strategy identifies potential entry points by looking for:
Bull signals (H2) - A strong bull bar appearing after a series of bear bars
Price closes near the high of the bar
Preceded by a minimum number of opposing bars (bear bars)
Close above prior high (if enabled)
Bear signals (L2) - A strong bear bar appearing after a series of bull bars
Price closes near the low of the bar
Preceded by a minimum number of opposing bars (bull bars)
Close below prior low (if enabled)
The newly added "Require Consecutive Opposing Bars" option enhances signal quality:
When enabled (default): Opposing bars must be consecutive within the lookback period
When disabled: Any opposing bars within the lookback period are counted
How to Use This Strategy
Setup
Apply the strategy to your chart
Configure Trading Direction settings based on your bias
Select your preferred Entry Signal Type
Choose an Exit Signal Type that matches your trading style
Set Risk Management parameters according to your risk tolerance
Fine-tune Signal Settings for your specific market
Entry Types
Any H/L: Enters on any Higher high or Lower low signal
H2/L2: Enters only on second consecutive signal
H2+MDB/L2+MDT: Enters on second signals combined with micro double bottoms/tops
H2+OO/L2+OO: Enters on second signals combined with outside-outside bars
Any H2 Special/Any L2 Special: Enters on any second signal with special bar patterns
Exit Methods
Any L/H: Exits on any opposing signal
L2/H2: Exits only on second opposing signal
After X Opposing Bars: Exits after a specific number of consecutive opposing bars
After X Bars In Trade: Time-based exit after specified bars
Trailing Exit: Uses a trailing stop to manage exits
Setting Up TradingView Alerts
To create alerts based on this strategy:
Click on the three dots.
Select 'Add Alert on Strategy'
In the alert condition choose ' Order Fills Only'
To fully automate this strategy with TradersPost :
Using Webhooks to Link to Trading Platforms
1. In the TradingView Alert Notification tab, check "Webhook URL"
2. Enter the webhook URL provided by TraderPost.
3. Copy paste the trader post strategy message into the alert text box. (note this message might be different at the time of reading, so copy the message from TradersPost It will look something like:
{
"ticker": "{{ticker}}",
"action": "{{strategy.order.action}}",
"sentiment": "{{strategy.market_position}}",
"quantity": "{{strategy.order.contracts}}",
"price": "{{close}}",
"time": "{{timenow}}"
}
You want the 'TradingView Strategy' Webhook message, Not the indicator message.
Save the alert
The strategy will now send trading signals directly to your connected TradersPost.
Make sure to test thoroughly on a demo account before using with real money.
Fine-Tuning for Your Market
Remember that different markets exhibit different characteristics.
You may need to adjust:
Strength thresholds for bull/bear signals
Lookback period and minimum opposing bars required
Stop loss and take profit percentages
Whether opposing bars need to be consecutive
Monitor the strategy's performance and make adjustments as market conditions change.
The best parameters will vary based on the volatility and trend characteristics of your chosen market.
Risk Management
This strategy includes multiple risk management features:
Stop Loss (percentage-based or signal bar high/low)
Take Profit targets
Trailing exits
Maximum time in trade limits
Auto-liquidation at market close
Always use proper position sizing alongside these automated risk controls. Remember that this tool is meant to assist your trading discipline, not replace your judgment.
Indicatori e strategie
Stochastic RSI & Bollinger Bands Backtest (5 Min)Garpnik Studio, March 2025. Bollinger band strategy mixed with the tasty stochastic RSI
Enhanced Forex Trading SignalsEnhanced Forex Trading Strategy - Usage Instructions
Overview
This improved Pine Script strategy provides clear buy and sell signals for forex trading. The script has been enhanced to offer:
Signal Strength Calculation - A numerical value (0-100%) indicating the strength of buy/sell signals
Visual Dashboard - Real-time display of key trading indicators and current signal
Clear Visual Signals - Large triangles for buy/sell signals and background color changes
Multiple Technical Indicators - Combines moving averages, RSI, MACD, and price position analysis
Key Improvements
The original script has been enhanced with the following improvements:
Signal Strength System: Instead of binary yes/no signals, the strategy now calculates a strength percentage for both buy and sell signals
Signal Filtering: Only generates signals when strength exceeds your chosen threshold
Visual Dashboard: Shows all key information in one place for quick decision making
Clearer Visual Indicators: Background color changes and larger signal markers
Additional Technical Indicators: Added MACD and RSI divergence detection
Smoother Signals: Signal smoothing to reduce false signals and whipsaws
How to Use
Step 1: Load the Script in TradingView
Open TradingView and create a new Pine Script
Copy and paste the entire code from improved_forex_strategy.pine
Click "Save" and then "Add to Chart"
Step 2: Configure Settings
The script includes several customizable parameters:
Moving Average Periods: Adjust short and long MA periods based on your trading timeframe
Signal Threshold: Set the minimum signal strength (0-100) required to generate buy/sell signals
RSI Settings: Customize overbought/oversold levels
Stop Loss/Take Profit: Set your risk management parameters
Dashboard Settings: Enable/disable the dashboard and choose its location
Step 3: Interpreting Signals
Buy Signal (Green Triangle Up)
A buy signal is generated when:
Buy signal strength exceeds your threshold (default 70%)
Buy strength is greater than sell strength
A green triangle appears below the price bar
Background turns light green
Sell Signal (Red Triangle Down)
A sell signal is generated when:
Sell signal strength exceeds your threshold (default 70%)
Sell strength is greater than buy strength
A red triangle appears above the price bar
Background turns light red
Dashboard Information
The dashboard provides at-a-glance information:
Current buy and sell signal strengths (0-100%)
Overall market trend (Bullish/Bearish/Neutral)
RSI status (Overbought/Oversold/Neutral)
Price position relative to 52-week range
Current signal recommendation (Buy/Sell/No Signal)
Signal Strength Calculation
The signal strength is calculated based on multiple factors:
Buy Signal Strength Factors
Trend is up (short MA > long MA): +20%
Bullish MA crossover: +30%
RSI oversold condition: +15%
MACD bullish cross: +15%
MACD line positive: +10%
Price near 52-week low: +15%
Positive sentiment (volume surge with upward momentum): +10%
RSI bullish divergence: +15%
Sell Signal Strength Factors
Trend is down (short MA < long MA): +20%
Bearish MA crossover: +30%
RSI overbought condition: +15%
MACD bearish cross: +15%
MACD line negative: +10%
Price near 52-week high: +15%
Negative sentiment (volume surge with downward momentum): +10%
RSI bearish divergence: +15%
The final strength is smoothed over several periods to reduce noise and false signals.
Recommended Settings for Different Timeframes
Short-term Trading (1h, 4h charts)
Short MA: 5-10
Long MA: 20-30
Signal Threshold: 60-70
RSI Period: 14
Signal Line Period: 3-5
Medium-term Trading (Daily chart)
Short MA: 10-20
Long MA: 30-50
Signal Threshold: 70-80
RSI Period: 14
Signal Line Period: 5-7
Long-term Trading (Weekly chart)
Short MA: 20-30
Long MA: 50-100
Signal Threshold: 80-90
RSI Period: 14
Signal Line Period: 7-10
Best Practices
Adjust the Signal Threshold: Start with 70% and adjust based on your risk tolerance. Lower values generate more signals but include more false positives.
Confirm with Multiple Timeframes: For stronger confirmation, check if signals align across different timeframes.
Use the Dashboard: Pay attention to all information in the dashboard, not just the final signal.
Monitor Signal Strength Trends: Watch how signal strength builds up or fades over time.
Customize for Your Pairs: Different forex pairs may require different settings. Test and adjust accordingly.
Troubleshooting
Too Many Signals: Increase the signal threshold or increase the signal smoothing period
Too Few Signals: Decrease the signal threshold or decrease the signal smoothing period
Delayed Signals: Decrease the moving average periods
False Signals: Increase the signal threshold and ensure you're using an appropriate timeframe for your trading style
[SM-042] EMA 5-8-13 with ADX FilterWhat is the strategy?
The strategy combines three exponential moving averages (EMAs) — 5, 8, and 13 periods — with an optional ADX (Average Directional Index) filter. It is designed to enter long or short positions based on EMA crossovers and to exit positions when the price crosses a specific EMA. The ADX filter, if enabled, adds a condition that only allows trades when the ADX value is above a certain threshold, indicating trend strength.
Who is it for?
This strategy is for traders leveraging EMAs and trend strength indicators to make trade decisions. It can be used by anyone looking for a simple trend-following strategy, with the flexibility to adjust for trend strength using the ADX filter.
When is it used?
- **Long trades**: When the 5-period EMA crosses above the 8-period EMA, with an optional ADX condition (if enabled) that requires the ADX value to be above a specified threshold.
- **Short trades**: When the 5-period EMA crosses below the 8-period EMA, with the ADX filter again optional.
- **Exits**: The strategy exits a long position when the price falls below the 13-period EMA and exits a short position when the price rises above the 13-period EMA.
Where is it applied?
This strategy is applied on a chart with any asset on TradingView, with the EMAs and ADX plotted for visual reference. The strategy uses `strategy.entry` to open positions and `strategy.close` to close them based on the set conditions.
Why is it useful?
This strategy helps traders identify trending conditions and filter out potential false signals by using both EMAs (to capture short-term price movements) and the ADX (to confirm the strength of the trend). The ADX filter can be turned off if not desired, making the strategy flexible for both trending and range-bound markets.
How does it work?
- **EMA Crossover**: The strategy enters a long position when the 5-period EMA crosses above the 8-period EMA, and enters a short position when the 5-period EMA crosses below the 8-period EMA.
- **ADX Filter**: If enabled, the strategy checks whether the ADX value is above a set threshold (default is 20) before allowing a trade.
- **Exit Conditions**: Long positions are closed when the price falls below the 13-period EMA, and short positions are closed when the price rises above the 13-period EMA.
- **Plotting**: The strategy plots the three EMAs and the ADX value on the chart for visualization. It also displays a horizontal line at the ADX threshold.
This setup allows for clear decision-making based on the interaction between different time-frame EMAs and trend strength as indicated by ADX.
binance BTC event contract in 10m chart 4.0
BINANCE BTC 10minutes event contract
It‘s not a trading strategy ！it is using for binance event contract and btc 10minutes not for eth pair.
just using Engulfing candlestick pattern and then with Rsi and {Gunzo} Trend Sniper (WMA with coefficient) to filter off most of the wrong signals. still not many signals due to it base on specific candlestick pattern. better than none.also seems going Short is more effective than going Long with this indicator.perhaps when I tested it the market is going down.
不要用来交易合约，因为没有设置手续费的，只是用于事件合约！
用在币安的BTCUSDT现货交易对的10分钟图表里，事件合约用的是指数价格现货比合约价格接近点。然后设置成了策略可以看到交易的时间，手续费不用设置因为是事件合约，然后cal on every ticks已经勾选了因为需要实时更新。卖空比较准，买多可能不太准。五个月信号才七八十个，聊胜于无，直接开信号提醒alert，看图的话测试过几率也只有51%左右的概率所以不用看图。逻辑是用的是当出现吞没形状的蜡烛然后内含指标过滤掉假信号
可以在币安联系我
Cyno1
ID: 66102371
Tradingview大号Kyle_Sunyan
www.tradingview.com
Trend Pullback Sniper Final with Visual Signals & AlertsPullback with Sniper final JCheese
Below is a complete script that shows clear BUY/SELL visual signals (using plotshape) on the chart, along with alerts for notifications. This version uses our refined trend and candle conditions with a single TP/SL exit, and it plots large green arrows for BUY signals (below the bar) and large red arrows for SELL signals (above the bar).
RSI Strategy with Backtestingupgraded RSI Strategy with strategy backtesting support included. It places trades when RSI crosses below the oversold level (Buy) and above the overbought level (Sell), and includes adjustable take-profit and stop-loss inputs for more realistic simulation.
Copy's of InSide Bar Strategyit's just a testing.
it's just a testing.
it's just a testing.
it's just a testing.
it's just a testing.
it's just a testing.
Swing Breakout StrategyPrice Action & Bollinger band base indicator.
1. It will mark Swing High & Swing Low.
2. Bollinger band Standard Deviation 2, 3 these are outer band, while 0.2 & 0.3 are inside band.
3. Wait for Extreme Swing High & Extreme Swing Low to form.
4. Entry Two types :
a) For Reversal can entry at Second Swing high or low taking resistance or support at previous Extreme Swing high or low.
b) Take breakout entry on the basis of Price action with proper crossover above 0.2 & 0.3 BB band.
30-Min Trap Reversal Strategy (Long Only, Cleaned)Apply on 30 min charts with any ticker with volatility. Mag 7 usually give good resutls
Follow Line Strategy Version 2.5 (React HTF)Follow Line Strategy v2.5 (React HTF) - TradingView Script Usage
This strategy utilizes a "Follow Line" concept based on Bollinger Bands and ATR to identify potential trading opportunities. It includes advanced features like optional working hours filtering, higher timeframe (HTF) trend confirmation, and improved trend-following entry/exit logic. Version 2.5 introduces reactivity to HTF trend changes for more adaptive trading.
Key Features:
Follow Line: The core of the strategy. It dynamically adjusts based on price breakouts beyond Bollinger Bands, using either the low/high or ATR-adjusted levels.
Bollinger Bands: Uses a standard Bollinger Bands setup to identify overbought/oversold conditions.
ATR Filter: Optionally uses the Average True Range (ATR) to adjust the Follow Line offset, providing a more dynamic and volatility-adjusted entry point.
Optional Trading Session Filter: Allows you to restrict trading to specific hours of the day.
Higher Timeframe (HTF) Confirmation: A significant feature that allows you to confirm trade signals with the trend on a higher timeframe. This can help to filter out false signals and improve the overall win rate.
HTF Selection Method: Choose between Auto and Manual HTF selection:
Auto: The script automatically determines the appropriate HTF based on the current chart timeframe (e.g., 1min -> 15min, 5min -> 4h, 1h -> 1D, Daily -> Monthly).
Manual: Allows you to select a specific HTF using the Manual Higher Timeframe input.
Trend-Following Entries/Exits: The strategy aims to enter trades in the direction of the established trend, using the Follow Line to define the trend.
Reactive HTF Trend Changes: v2.5 exits positions not only based on the trade timeframe (TTF) trend changing, but also when the higher timeframe trend reverses against the position. This makes the strategy more responsive to larger market movements.
Alerts: Provides buy and sell alerts for convenient trading signal notifications.
Visualizations: Plots the Follow Line for both the trade timeframe and the higher timeframe (optional), making it easy to understand the strategy's logic.
How to Use:
Add to Chart: Add the "Follow Line Strategy Version 2.5 (React HTF)" script to your TradingView chart.
Configure Settings: Customize the strategy's settings to match your trading style and preferences. Here's a breakdown of the key settings:
Indicator Settings:
ATR Period: The period used to calculate the ATR. A smaller period is more sensitive to recent price changes.
Bollinger Bands Period: The period used for the Bollinger Bands calculation. A longer period results in smoother bands.
Bollinger Bands Deviation: The number of standard deviations from the moving average that the Bollinger Bands are plotted. Higher deviations create wider bands.
Use ATR for Follow Line Offset?: Enable to use ATR to calculate the Follow Line offset. Disable to use the simple high/low.
Show Trade Signals on Chart?: Enable to show BUY/SELL labels on the chart.
Time Filter:
Use Trading Session Filter?: Enable to restrict trading to specific hours of the day.
Trading Session: The trading session to use (e.g., 0930-1600 for regular US stock market hours). Use 0000-2400 for all hours.
Higher Timeframe Confirmation:
Enable HTF Confirmation?: Enable to use the HTF trend to filter trade signals. If enabled, only trades in the direction of the HTF trend will be taken.
HTF Selection Method: Choose between "Auto" and "Manual" HTF selection.
Manual Higher Timeframe: If "Manual" is selected, choose the specific HTF (e.g., 240 for 4 hours, D for daily).
Show HTF Follow Line?: Enable to plot the HTF Follow Line on the chart.
Understanding the Signals:
Buy Signal: The price breaks above the upper Bollinger Band, and the HTF (if enabled) confirms the uptrend.
Sell Signal: The price breaks below the lower Bollinger Band, and the HTF (if enabled) confirms the downtrend.
Exit Long: The trade timeframe trend changes to downtrend or the higher timeframe trend changes to downtrend.
Exit Short: The trade timeframe trend changes to uptrend or the higher timeframe trend changes to uptrend.
Alerts:
The script includes alert conditions for buy and sell signals. To set up alerts, click the "Alerts" button in TradingView and select the desired alert condition from the script. The alert message provides the ticker and interval.
Backtesting and Optimization:
Use TradingView's Strategy Tester to backtest the strategy on different assets and timeframes.
Experiment with different settings to optimize the strategy for your specific trading style and risk tolerance. Pay close attention to the ATR Period, Bollinger Bands settings, and the HTF confirmation options.
Tips and Considerations:
HTF Confirmation: The HTF confirmation can significantly improve the strategy's performance by filtering out false signals. However, it can also reduce the number of trades.
Risk Management: Always use proper risk management techniques, such as stop-loss orders and position sizing, when trading any strategy.
Market Conditions: The strategy may perform differently in different market conditions. It's important to backtest and optimize the strategy for the specific markets you are trading.
Customization: Feel free to modify the script to suit your specific needs. For example, you could add additional filters or entry/exit conditions.
Pyramiding: The pyramiding = 0 setting prevents multiple entries in the same direction, ensuring the strategy doesn't compound losses. You can adjust this value if you prefer to pyramid into winning positions, but be cautious.
Lookahead: The lookahead = barmerge.lookahead_off setting ensures that the HTF data is calculated based on the current bar's closed data, preventing potential future peeking bias.
Trend Determination: The logic for determining the HTF trend and reacting to changes is critical. Carefully review the f_calculateHTFData function and the conditions for exiting positions to ensure you understand how the strategy responds to different market scenarios.
Disclaimer:
This script is for informational and educational purposes only. It is not financial advice, and you should not trade based solely on the signals generated by this script. Always do your own research and consult with a qualified financial advisor before making any trading decisions. The author is not responsible for any losses incurred as a result of using this script.
SuperTrend & MTF [vivekm8955]The SuperTrend MTF is made out of SuperTrend with new level of accuracy. This indicator allows you to select different moving averages, apply it to various chart types, and fine-tune every key parameter without repainting issues, avoiding signal distortions.
Multi-MA SuperTrend:
customizable SuperTrend calculation by choosing from different moving averages:
Multiple Chart Types:
Different chart format support
If you find this indicator useful every feedback helps to continuously improve the tool.
Just for sample - there are >80% of trade successfully executed having good profit accuracy. Better back test the indicator and use based on your own will of timeframe.
Gold EMA + CHOCH StrategyStrategy Logic:
Higher Timeframe (15 min):
Bullish: HTF_20EMA > HTF_100EMA and forming H.H
Bearish: HTF_20EMA < HTF_100EMA and Forming L.L
Lower Timeframe (1 min):
Entry when 20 EMA crosses 100 EMA:
Buy if 20 EMA crosses above 100 EMA and 1 min CHOCH and HTF trend is bullish
Sell if 20 EMA crosses below 100 EMA and1 minCHOCH and HTF trend is bearish
JEANIUS PRO (XXX GHOST)JEANIUS PRO (XXX GHOST) is a high-precision, low-noise automated trend-following system built for scalpers, day traders, and EA-integration power users.
This version is optimized for full PineConnector/MT5 deployment and executes directional bias trades using triple-stacked WMA structure + smart momentum divergence.
🔐 Core Features:
Triple WMA alignment (MA 1, 2, 3) for multi-frame trend confirmation
Proprietary impulse detection via JEANIUS momentum delta (n1 vs n2)
Smart trade lock system — avoids overfiring / overtrading
Built-in webhook alerts for full MT5 EA execution with SL, TP, BE, Trail
Works best on USDJPY, GBPUSD, EURUSD, XAUUSD (tested)
Configurable TP/SL structure and equity % risk control
💡 Designed for real-time execution — backtest it, tweak it, deploy it. GHOST version runs silent, strikes smart, and fades into the chart.
EMA+SMA+VWAP Trading Strategy This strategy is for COINBASE:ETHUSD 15min. Tweak the INPUTS as per requirement.
Note: The strategy will give different results for different sources(Binance, Bitstamp) and symbols.
For more accurate P&L in "Strategy Tester" modify the settings as below:
Under "Properties" tab
--Change "Order Size" value (default is 1) and type from "% of equity" to "Contract".
--Add "Commission". For me commission was "0.07 %".
Strategy Explanation
Trend Following: The strategy uses EMA crossovers (17 vs. 31) to detect momentum shifts, with VWAP and SMA (69) acting as filters to confirm the broader trend.
Reversal Mechanism: It allows switching directly from long to short (or vice versa) by closing the existing position before entering the new one.
Exit Strategy: Faster EMAs (8 and 9) are used for exits, making the strategy sensitive to short-term reversals while avoiding premature exits during strong trends.
Risk Management: The use of multiple filters (VWAP, SMA) reduces false signals, though it may delay entries in fast-moving markets.
How It Works:
Bullish Scenario: If the 17-period EMA crosses above the 31-period EMA, and the price is above both VWAP and the 69-period SMA, a long position is opened. It exits when the 8-period EMA crosses below the 9-period EMA.
Bearish Scenario: If the 17-period EMA crosses below the 31-period EMA, and the price is below both VWAP and the 69-period SMA, a short position is opened. It exits when the 8-period EMA crosses above the 9-period EMA.
Reversal: If a short position is active and a long signal triggers, the short is closed before entering the long (and vice versa).
Potential Strengths
Combines momentum (EMA crossovers) with trend confirmation (VWAP, SMA).
Reversal logic allows flexibility in choppy markets.
Visual indicators make it easy to monitor signals.
Potential Weaknesses
Multiple conditions may reduce trade frequency, missing some opportunities.
Sensitivity to EMA periods; defaults (17, 31, 8, 9, 69) may not suit all assets or timeframes.
No explicit stop-loss or take-profit logic, relying solely on EMA exits.
EMA Crossover (New Trailing Stop)This strategy utilizes a combination of Exponential Moving Averages (EMA) to generate entry and exit signals for both long and short positions. The core of the strategy is based on the 13-period EMA (short EMA) crossing the 33-period EMA (long EMA) for entering long trades, while a 13-period EMA crossing the 25-period EMA (mid EMA) generates short trade signals. The strategy aims to capitalize on trend reversals and momentum shifts in the market.
A key enhancement in this strategy is the inclusion of slippage, set at 5 ticks, to simulate more realistic trading conditions. Slippage accounts for the difference between the expected price of a trade and the actual price, providing a more accurate representation of real-world trading scenarios.
Stack Overflow
To address the issue of overlapping exit orders, the strategy incorporates a flag (isExiting) to track whether an exit has been processed. This ensures that only one exit order is generated per bar, preventing multiple exits from overlapping and resulting in clearer trade execution.
The strategy is designed to execute trades swiftly, emphasizing real-time entry when conditions align. For long entries, the strategy initiates a buy when the 13 EMA is greater than the 33 EMA, indicating a bullish trend. For short entries, the 13 EMA crossing below the 33 EMA signals a bearish trend, prompting a short position. Importantly, the code includes built-in exit conditions for both long and short positions. Long positions are exited when the 13 EMA falls below the 33 EMA, while short positions are closed when the 13 EMA crosses above the 25 EMA.
A notable feature of the strategy is the use of trailing stops for both long and short positions. This dynamic exit method adjusts the stop level as the market moves favorably, locking in profits while reducing the risk of losses. The trailing stop for long positions is based on the high price of the current bar, while the trailing stop for short positions is set using the low price, providing flexibility in managing risk. This mechanism helps capture profits from favorable market movements while ensuring positions are exited if the market moves against them.
In summary, this strategy combines EMA crossovers with realistic trading conditions, including slippage and non-overlapping exits, to effectively identify and act upon market trends. This strategy works best on the 4H/Daily timeframe and is optimized for major cryptocurrency pairs. The 4H/Daily chart allows for the EMAs to provide more reliable signals, as the strategy is designed to capture broader trends rather than short-term market fluctuations. Using it on major crypto pairs increases its effectiveness as these assets tend to have strong and sustained trends, providing better opportunities for the strategy to perform well.
Trend Strategy + Impulse FilterThis is a Trend Strategy + Impulse Filter designed for trading in a dynamic market using both Simple Moving Average (SMA) and MACD indicators for trend and momentum analysis. The strategy includes risk management features like Stop Loss, Take Profit, and Trailing Stop to secure gains and limit losses. Additionally, it uses a Breakout Filter for confirmation, ensuring trades are taken only when the price breaks out from a specified range.
Key Features:
Trend Filter: Enter long when the price is above the SMA and MACD line crosses above the signal line. Enter short when the price is below the SMA and MACD line crosses below the signal line.
Breakout Filter: Only takes trades if the price breaks the previous high (for long) or low (for short) within a defined lookback period.
Risk Management: Set stop-loss and take-profit levels based on ATR for dynamic risk management.
Trailing Stop: Locks profits as the price moves in favor of the trade.
Position Sizing: Trade size is based on a percentage of the current equity.
Customizable Parameters: All indicators and risk management settings are adjustable to fit individual preferences.
This strategy is suitable for traders looking for a comprehensive approach that combines trend-following, momentum, and breakout filtering with solid risk management.
Ukrainian Description:
Це стратегія Trend + Impulse Filter, розроблена для торгівлі на динамічному ринку, використовуючи індикатори Простого ковзаючого середнього (SMA) та MACD для аналізу тренду та імпульсу. Стратегія включає в себе функції управління ризиками, такі як Stop Loss, Take Profit та Trailing Stop, щоб забезпечити прибутки та обмежити збитки. Крім того, вона використовує Breakout Filter для підтвердження, забезпечуючи виконання угод лише тоді, коли ціна пробиває визначений діапазон.
Основні характеристики:
Фільтр тренду: Вхід у лонг, коли ціна вище SMA, і MACD лінія перетинає сигнальну лінію знизу вгору. Вхід у шорт, коли ціна нижча за SMA, і MACD лінія перетинає сигнальну лінію зверху вниз.
Фільтр пробою: Торгові угоди відкриваються лише в разі пробою попереднього максимуму (для лонга) або мінімуму (для шорта) протягом заданого періоду.
Управління ризиками: Стоп-лосс та тейк-профіт визначаються на основі ATR для динамічного управління ризиками.
Trailing Stop: Фіксує прибутки, коли ціна рухається в бік угоди.
Розмір позиції: Розмір угоди залежить від відсотка від поточного балансу.
Налаштовувані параметри: Усі індикатори та налаштування управління ризиками можна відкоригувати відповідно до індивідуальних уподобань.
Ця стратегія підходить для трейдерів, які шукають комплексний підхід, що поєднує слідкування за трендом, імпульсом та фільтрацією пробоїв із надійним управлінням ризиками.
Enhanced Elliott Wave + SMCThe Pine Script you provided is a sophisticated trading strategy called "Enhanced Elliott Wave + SMC" (Smart Money Concepts) that combines multiple technical analysis concepts to generate trade signals. Here's a breakdown of its key components and functionality:
1. Core Concepts
Elliott Wave Theory: Identifies potential wave patterns using a 50-period SMA to determine trend direction and Fibonacci extensions (1.618 ratio) for price targets.
Smart Money Concepts (SMC): Focuses on institutional trading patterns like liquidity sweeps, supply/demand zones, and fair value gaps (FVGs).
2. Key Features
Liquidity Sweep Detection:
Identifies false breakouts where price briefly exceeds recent highs/lows before reversing.
Confirms institutional "stop hunts" to trap retail traders.
Supply/Demand Zones:
Marks areas of concentrated buying/selling pressure.
Zones persist on the chart (up to max_zones_displayed) and are triggered by liquidity sweeps.
Fair Value Gaps (FVG):
Detects price voids between candles, indicating potential reversal zones.
Bullish FVG (gap below) and Bearish FVG (gap above) highlighted.
Market Structure Lines:
Horizontal lines showing recent swing highs/lows (10-period extremes).
3. Indicators & Filters
RSI & CMO: Momentum filters (RSI >50/<50, CMO positive/negative).
Volume Confirmation: Optional filter requiring volume spikes (1.5x 20-period average).
ATR-Based Risk Management: Dynamic stop-loss and take-profit levels based on volatility.
4. Entry Conditions
Long Entry:
Price crosses above demand zone.
Bullish momentum (RSI >50, CMO >0).
Confirmed bullish liquidity sweep.
Volume spike (if enabled).
Short Entry:
Price crosses below supply zone.
Bearish momentum (RSI <50, CMO <0).
Confirmed bearish liquidity sweep.
Volume spike (if enabled).
5. Risk Management
Stop-Loss: Fixed percentage (2%) of price or ATR-based.
Risk/Reward Ratio: 3:1 profit targets derived from stop-loss distance.
6. Visualization
Colored lines/zones for Elliott Wave projections, FVGs, supply/demand areas, and market structure.
Labels and alerts for key events (liquidity sweeps, zone entries).
7. Strategy Logic
Bullish Scenario:
After a bearish liquidity sweep (trap shorts), enter long when price reclaims demand zone with momentum.
Target Fibonacci extension levels or supply zones.
Stop below recent swing low/ATR level.
Bearish Scenario:
After a bullish liquidity sweep (trap longs), enter short when price breaks below supply zone.
Target demand zones or Fibonacci projections.
Stop above recent swing high/ATR level.
8. Use Case
This strategy aims to:
Identify institutional order blocks (liquidity sweeps).
Catch reversals at key supply/demand zones.
Use Elliott Wave principles for profit targets.
Filter false signals with volume/momentum confirmation.
It's designed for swing trading and requires combining price action confirmation with the automated signals. The visual elements help traders quickly assess market structure and key levels.
Scalping 15min: EMA + MACD + RSI + ATR-based SL/TP📈 Strategy: 15-Minute Scalping — EMA + MACD + RSI + ATR-based SL/TP
This scalping strategy is designed for 15-minute charts and combines trend-following and momentum confirmation with dynamic stop loss and take profit levels based on volatility.
🔧 Indicators Used:
EMA 50 — identifies the main trend
MACD Histogram — confirms momentum direction
RSI (14) — filters overbought/oversold conditions
ATR (14) — dynamically sets SL and TP based on market volatility
📊 Entry Conditions:
Long Entry:
Price is above EMA 50
MACD histogram is positive
RSI is above 50 but below 70
Short Entry:
Price is below EMA 50
MACD histogram is negative
RSI is below 50 but above 30
🛑 Risk Management:
Stop Loss: 1×ATR (user-configurable)
Take Profit: 2×ATR (user-configurable)
These values can be adjusted in the script inputs depending on your risk/reward preference or market conditions.
⚠️ Notes:
Strategy is optimized for scalping fast-moving pairs (e.g. crypto, forex).
Works best in trending markets.
Use backtesting and forward testing before live trading.
Dskyz Adaptive Futures Edge (DAFE)imgur.com/a/igj9lFj
Dskyz Adaptive Futures Edge (DAFE) is a futures trading strategy designed to adapt dynamically to market volatility and price action using a blend of technical indicators. The strategy combines adaptive moving averages, optional RSI filtering, candlestick pattern recognition, and multi-timeframe trend analysis to generate long and short trade signals. It incorporates robust risk management techniques including ATR-based stop-losses and trailing stops, ensuring trades are sized and managed within sustainable risk limits.
Key Components and Logic
-Adaptive Moving Averages
Dynamic Calculation: Fast and slow Simple Moving Averages (SMAs) adapt to changing volatility, making them sensitive to high-momentum shifts and smoothing during quieter price action.
Signal Generation: Entry signals are triggered when the fast SMA crosses the slow SMA in conjunction with price direction confirmation (e.g., price above both for long positions).
-RSI Filtering (Optional)
Momentum Confirmation: The RSI filter provides momentum confirmation to avoid overextended entries. It can be toggled on or off for both long and short conditions.
User Control: Adjustable parameters such as lookback period, oversold/overbought thresholds, and enable/disable switches give full control over its influence.
-Candlestick Pattern Recognition
Engulfing Logic: Recognizes strong bullish or bearish engulfing patterns with configurable strength criteria like range and volume. Patterns are filtered by trend direction and strength for confirmation.
Signal Conflict Handling: When both bullish and bearish engulfing patterns occur within the lookback window, the strategy avoids entry to reduce whipsaws in indecisive markets.
-Multi-Timeframe Trend Filter
Higher Timeframe Filtering: Incorporates 15-minute trend direction as a macro-level filter to align intrabar trades with larger trend momentum.
Smoothed Entry Logic: Prevents entering trades that go against the broader market structure, reducing false signals in choppy or low-conviction moves.
-Trade Execution and Risk Management
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Entry Logic
Priority System: Users can define whether moving average signals or candlestick patterns should take priority when both are present.
Volume & Volatility Checks: Ensures sufficient market participation and action before entering a position, improving the odds of reliable follow-through.
Stop-Loss and Trailing Exit
ATR-Based Initial Stops: Dynamically adjusts stop-loss distance based on market volatility using a multiple of ATR (Average True Range), keeping risk proportional to price swings.
Trailing Stop: Protects open profits and enables winners to run by following price action at a set distance (also ATR-based).
-Cooldown Period & Minimum Bar Hold (Trade Discipline Logic)
Cooldown Bars: After an exit, the strategy imposes a mandatory pause before opening a new position.
Why: This avoids rapid-fire re-entries triggered by minor fluctuations that could lead to overtrading and degradation of profitability.
Minimum Bar Hold: A trade must be held for a minimum number of bars before it can be exited.
Why: This prevents the strategy from immediately exiting trades due to fleeting volatility spikes, which previously caused premature exits that often reversed back in favor of the original signal. This ensures trades have adequate time to develop, filtering out noise from true reversals.
-Visual Elements and Transparency Tools
Chart Overlays: Moving averages, RSI values, and trade entry/exit points are shown directly on the chart for complete visibility.
Dashboard UI: Displays critical live metrics—current position, PnL, time held, ATR values, etc.
Debug Logs: Optional toggles allow verbose condition tracking for deep inspection into why a trade occurred (or didn't), useful for both live optimization and debugging.
-Input Parameter Reference Guide
Input Name Function & Suggested Use
Use RSI Filter - Enables or disables RSI-based entry confirmation. Disable if price action alone is desired for entry decisions.
RSI Length - RSI lookback period. Lower values (e.g., 7–14) are more responsive; higher values reduce false signals.
Overbought / Oversold Levels - Used to detect exhaustion zones. E.g., avoid long entries above 70 or short entries below 30.
Use Candlestick Patterns - Enable detection of bullish/bearish engulfing patterns as trade signals. Disable to rely only on trend/MA.
Pattern Strength Thresholds (Range, Volume) - Filters out weak engulfing signals. Higher values require stronger patterns to trigger.
Use 15min Trend Filter - Adds multi-timeframe trend confirmation. Recommended for filtering entries against larger trend direction.
Fast MA - Base Length for fast adaptive moving average. Suggested: 10–25.
Slow MA - Base length for slow adaptive moving average. Suggested: 30–60.
Volatility Sensitivity Multiplier - Multiplies volatility adjustments for adaptive MA length. Higher = more reactive to volatility.
Entry Volume Filter - Filters out trades during low volume. Recommended to prevent entries in illiquid conditions.
ATR Length - Lookback period for ATR calculation. Suggested: 14.
Trailing Stop ATR Offset - Defines how far the stop-loss is from entry. 1.5–2.5 is typical for medium-volatility environments.
Trailing Stop ATR Multiplier - Determines trailing stop distance. 1.5 is tight; 3+ gives more room for trending trades.
Cooldown Bars After Exit - Prevents immediate re-entries. Suggested: 3–10 bars depending on timeframe.
Minimum Bars to Hold Trade - Ensures trades are held long enough to avoid knee-jerk exits. Suggested: 5–10 for intraday strategies.
Trading Hours (Start / End) - Sets the window of allowed trading. Prevents entries outside key session times (e.g., avoid pre-market).
Enable Logging / Debugging - Shows internal trade decision data for tuning and understanding the logic.
Compliance with TradingView Regulations
Realistic Backtesting: The strategy uses proper initial capital, fixed trade quantities, and risk parameters to reflect realistic scenarios.
Transparent Trade Logic: Every condition used for signal generation is documented and controllable by the user. Users can view each signal's rationale.
Risk Mitigation: Cooldown bars, ATR stops, and minimum trade duration ensure the strategy behaves predictably and prevents reckless trade behavior.
Customization: Full control over each module (MA, RSI, Candlestick, Trend, etc.) gives users the ability to tailor the strategy to suit various futures contracts or timeframes.
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Summary
DAFE was built for high-stakes micro futures trading environments such as the MNQ, where milliseconds of volatility matter. This strategy's modular architecture, adaptive logic, and advanced risk controls make it an ideal framework for scalpers and swing traders alike.
BTCUSDT.P
Backtesting: www.dropbox.com
Deep Backtesting:
www.dropbox.com
****Currently testing on a prop account.
Caution Statement
This strategy is designed for educational and experimental purposes and should not be considered financial advice or a guaranteed method of profitability. While the DAFE (Dskyz Adaptive Futures Edge) strategy incorporates advanced filters, adaptive logic, and volatility-based risk management, its performance is subject to market conditions, data accuracy, and user configuration.
Futures trading involves substantial risk, and the leverage inherent in futures contracts can amplify both gains and losses. This strategy may execute trades rapidly and frequently under certain conditions—particularly when filters are disabled or thresholds are set too tightly—potentially leading to increased slippage, commissions, or unanticipated losses.
Users are strongly advised to:
Backtest thoroughly across various market regimes.
Adjust parameters responsibly and understand the implication of each input.
Paper trade in a simulated environment before going live.
Monitor trades actively and use discretion when market volatility increases.
-By using this strategy, you accept all risks and responsibility for any trading decisions made based on its output.
Z-Score + RSI Strategy [JR28]This strategy is designed for intraday futures traders, particularly the MNQ (Micro Nasdaq) on the 15-minute chart. It identifies statistically significant price extremes using the Z-Score, then filters those signals with RSI momentum and a 50 EMA trend filter to trade only in the direction of the prevailing trend.
🔍 Entry Logic:
Long: Z-Score < –Threshold, RSI is oversold, and price is above EMA
Short: Z-Score > +Threshold, RSI is overbought, and price is below EMA
🎯 Exit Logic:
Dynamic Stop Loss and Take Profit based on percentage inputs (customizable)
✅ Key Features:
Combines mean reversion + momentum + trend
Customizable Z-Score and RSI thresholds
Strategy-ready with backtestable performance and visual chart signals
