ATR Trend Strategy + KAMA FilterATR Trend Strategy with XMA KAMA Filter
Strategy Description
This strategy combines a dynamic ATR trailing stop with an XMA KAMA filter to precisely detect trends and generate reliable entry signals.
It uses a two-step trend confirmation system:
1️⃣ ATR Trailing Stop
Based on the Average True Range (ATR), this trailing stop automatically adapts to market volatility.
It determines whether the market is in a bullish or bearish phase by comparing the current price to the ATR trailing stop level.
2️⃣ KAMA Filter (XMA Version)
KAMA (Kaufman Adaptive Moving Average) provides an additional trend filter.
This XMA version of KAMA avoids the traditional fast/slow parameters and instead dynamically calculates the ratio of signal to market "noise", helping to reduce false signals and over-sensitivity.
How It Works
Long Signal:
Price is above both the ATR trailing stop and the KAMA (XMA) line.
Short Signal:
Price is below both the ATR trailing stop and the KAMA (XMA) line.
What Makes This Strategy Different?
Unlike many classic strategies that rely on simple moving averages, this system uses an adaptive KAMA filter that responds better to changing market conditions and volatility.
The ATR trailing stop automatically adjusts to current market volatility, providing an extra layer of protection against false breakouts.
By combining these tools, this strategy offers:
Precise trend filtering
Avoidance of false breakouts and noise
Dynamic adjustment to market conditions
How to Use
Apply the strategy to any market chart (Forex, stocks, crypto, indices, etc.)
Adjust the ATR and KAMA parameters to match your trading plan
Use the TradingView Strategy Tester to evaluate performance before live trading
Who Is This For?
Swing traders and trend followers
Traders looking for clean, filtered signals with reduced noise
Medium-term traders seeking a system that adapts to market dynamics
Additional Info: Heikin Ashi Compatibility
This strategy is fully compatible with Heikin Ashi candles.
By applying it to a chart with Heikin Ashi candles, traders can further reduce market noise and enhance trend visualization.
The combination of ATR trailing stop + XMA KAMA filter + Heikin Ashi smoothing provides an even cleaner trend-following system, minimizing false signals and improving decision-making clarity.
指標和策略
LANZ Strategy 5.0 [Backtest]🔷 LANZ Strategy 5.0 — Rule-Based BUY Logic with Time Filter, Session Limits and Auto SL/TP Execution
This is the backtest version of LANZ Strategy 5.0, built as a strategy script to evaluate real performance under fixed intraday conditions. It automatically places BUY and SELL trades based on structured candle confirmation, EMA trend alignment, and session-based filters. The system simulates real-time execution with precise Stop Loss and Take Profit levels.
📌 Built for traders seeking to simulate clean intraday logic with fully automated entries and performance metrics.
🧠 Core Logic & Strategy Conditions
✅ BUY Signal Conditions:
Price is above the EMA200
The last 3 candles are bullish (close > open)
The signal occurs within the defined session window (NY time)
Daily trade limit has not been exceeded
If all are true, a BUY order is executed at market, with SL and TP set immediately.
🔻 SELL Signal Conditions (Optional):
Exactly inverse to BUY (below EMA + 3 bearish candles). Disabled by default.
🕐 Operational Time Filter (New York Time)
You can fully customize your intraday window:
Start Time: e.g., 01:15 NY
End Time: e.g., 16:00 NY
The system evaluates signals only within this range, even across midnight if configured.
🔁 Trade Management System
One trade at a time per signal
Trades include a Stop Loss (SL) and Take Profit (TP) based on pip distance
Trade result is calculated automatically
Each signal is shown with a triangle marker (BUY only, by default)
🧪 Backtest Accuracy
This version uses:
strategy.order() for entries
strategy.exit() for SL and TP
strategy.close_all() at the configured manual closing time
This ensures realistic behavior in the TradingView strategy tester.
⚙️ Flow Summary (Step-by-Step)
On every bar, check:
Is the time within the operational session?
Is the price above the EMA?
Are the last 3 candles bullish?
If conditions met → A BUY trade is opened:
SL = entry – X pips
TP = entry + Y pips
Trade closes:
If SL or TP is hit
Or at the configured manual close time (e.g., 16:00 NY)
📊 Settings Overview
Timeframe: 1-hour (ideal)
SL/TP: Configurable in pips
Max trades/day: User-defined (default = 99 = unlimited)
Manual close: Adjustable by time
Entry type: Market (not limit)
Visuals: Plotshape triangle for BUY entry
👨💻 Credits:
💡 Developed by: LANZ
🧠 Strategy logic & execution: LANZ
✅ Designed for: Clean backtesting, clarity in execution, and intraday logic simulation
IU Martingale StrategyDESCRIPTION
This strategy is a Martingale-based trading system that enters a long position based on simple candle patterns and doubles the position size after each loss. It tracks the worst-case drawdown using a live risk matrix table to help traders visualize the downside. With clear profit and loss points, auto position sizing, and a risk visualization table, it’s perfect for backtesting the Martingale concept directly on charts.
WHAT IS MARTINGALE SYSTEM?
The Martingale system is a position-sizing strategy where you double your trade size after every loss, aiming to recover all previous losses with a single profitable trade. It assumes that a winning trade will eventually occur. While it can be high-risk, it’s often used in controlled environments or with high probability setups.
USER INPUTS
📦 Starting Position: Initial position size for the first trade
📈 Profit Points: Target profit in price points
📉 Loss Points: Stop loss in price points
📊 Show Risk Matrix Table: Enable or disable a live table showing current streak and risk stats
LONG CONDITION
A long trade is triggered when the current candle closes higher than it opened, and no open position exists. The condition is simple and used to simulate market entry for testing the Martingale logic.
// Entry Condition:
close > open and no existing position
LONG EXIT
Each trade has a fixed stop-loss and take-profit, based on the user's input:
Stop Loss = Entry Price − Loss Points
Take Profit = Entry Price + Profit Points
The exit is handled using strategy.exit() with these dynamic values.
WHY IT IS UNIQUE
🔁 Implements a dynamic Martingale position sizing system
📊 Includes a visual Risk Matrix Table tracking losing streaks, max size, and risk
📈 Automatically resets position size after a win
🧠 Smart use of array to manage loss history and control logic
🎯 Customizable SL and TP for each entry
🎨 Beautiful chart visuals for entry, stop loss, and target levels
HOW USER CAN BENEFIT FROM IT
🧪 Test the sustainability of a Martingale system with real chart data
👁️ Visualize the risks and impact of consecutive losses
📈 Explore risk vs. reward scenarios before deploying in real markets
🧰 Use it as a base template to build more advanced Martingale or grid-based systems
📚 Great for educational purposes to understand the mathematical drawdowns involved in doubling strategies
Disclaimer :
This Video is not financial advice, it's for educational purposes only highlighting the power of coding( pine script) in TradingView, I am not a SEBI-registered advisor. Trading and investing involve risk, and you should consult with a qualified financial advisor before making any trading decisions. I do not guarantee profits or take responsibility for any losses you may incur.
MACD + RSI + SMA Strategy with TP/SLThis strategy combines three technical indicators: MACD, RSI, and Simple Moving Average (SMA) to identify high-probability entry points. It enters trades in the direction of the trend (filtered by SMA), confirms momentum shifts (via MACD crossover), and validates signals with RSI to avoid overbought/oversold conditions.
Key Features:
Directional filter using SMA to align trades with the broader trend.
Momentum validation with MACD crossovers.
Risk control through RSI thresholds and fixed percentage-based Take Profit and Stop Loss levels.
Works for both long and short positions.
Disclaimer: This is a sample strategy for educational purposes only.
Trading involves risk. Use at your own discretion.
You bear full responsibility for any profit or loss.
T3MA Ribbon Strategy (v6 - Fixed HA) by LKALGOT3MA Ribbon Strategy (v6) by LKALGO
The T3MA Ribbon Strategy helps you catch trends with confidence!
It combines a fast and slow T3 moving average to create a color-filled ribbon that clearly shows bullish (green) and bearish (red) momentum.
✅ Key features:
Smooth trend signals using powerful T3 MAs
Optional Heikin Ashi smoothing for even cleaner trends
Simple, clear BUY and SELL signals on the chart
Alerts included for easy automation
How it works:
Enter long when the ribbon turns green (fast T3 crosses above slow T3)
Exit when it turns red (fast T3 crosses below slow T3)
Works on all timeframes and markets. Perfect for traders who want a simple but effective trend-following system.
Buy Dip Multiple Positions🎯 Objective
This strategy aims to capture aggressive dip-buying opportunities during volume-confirmed price reversals in short term downtrending markets. It is optimized for multi-entry precision, adaptive stop management, and real-time trade monitoring.
It allows traders to execute multiple long entries and dynamically trail stops to maximize gains while capping risk. Designed with modular inputs, this strategy is ideal for intraday momentum scalping and swing trading alike.
🔧 How It Operates
The strategy triggers buy entries when three conditions align:
Reversal Candle: Current close < prior low × 0.998
Volume Confirmation: Current volume exceeds average of prior 2 bars × 1.2
Price Surge Threshold: Current close below user-defined % of close from N bars ago
Once a reversal candle is confirmed, the strategy:
Calculates position size based on user-defined risk parameters
Allows up to a max number of simultaneous trades
Trailing Stop kicks in 2 bars after entry, climbing by a user-defined % each bar
Exit occurs when price hits either the trailing stop or target price
🛠️ Inputs
Users can customize all major aspects of the strategy:
Max Simultaneous Trades: Default 20
Trailing Stop Increase per Bar (%): Default 1%
Initial Stop (% of Reversal Low): Default 85%
Target Price (% Above Reversal Low): Default 60%
Price Surge Threshold (% of Past Close): Default 89%
Surge Lookback Bars: Default 14
Show Active Trade Dot: Toggle to display green trade status dot
📊 Visual Overlays
The chart displays the following:
Marker Description
🟢 Green Dot Active trade (toggleable)
🔴 Red Dot Max trades reached
📈 Trailing Stop Applied internally but not plotted (can be added)
📊 Metrics Plots of win rate, winning/losing trade counts
📎 Notes
Strategy uses strategy.cash allocation logic
Entry size adapts to account equity and risk per trade
All parameters are accessible via the settings panel
Built entirely in Pine Script v5
This strategy balances flexibility and precision, giving traders control over entry timing, capital allocation, and stop behavior. Ideal for those looking to automate dip-buy setups with tactical overlays and visual alerts.
80% Rule BacktestStrategy Overview: 80% Rule Backtest Tool
This strategy tester is designed to validate the classic 80% Rule setup within a defined ETH futures session. Signals are triggered when price reenters the prior day's value area and holds for a qualified duration — targeting the Point of Control (POC) for primary exits, while tracking full value area traversals for research purposes.
- 📅 Session Logic: Anchored to a true 22-hour ETH futures window (5PM–3PM Pacific), with global time zone support
- 🧠 Signal Confirmation: Price must reenter and hold inside value area for ≥ 45 minutes to validate entry
Note: Optimized for 15-minute charts — aligns exactly with traditional rule definition (3-bar hold)
- 🎯 Targets: Primary TP at POC; visual logs for full VAH/VAL reach
- 🔍 Manual Override Mode: Precise SVP-level control when auto logic isn’t preferred
- 🔧 Debug Mode: Single-bar diagnostic labels for development and forward testing
This tool supports both auto-calculated and manually anchored value areas, allowing traders to blend systematic backtesting with discretionary insight.
working on this tool to be used as a strategy tester
StockMarketWolf 9/20 EMA VWAP MACD StrategyThis strategy is all about catching momentum in the market by combining some of the most trusted technical indicators—moving averages, VWAP, and MACD—to help you spot better trade opportunities with more confidence.
Here’s the simple idea:
Use the 9 and 20 EMA crossover to spot when the short-term trend is turning up or down.
Check that the price is trading above or below the VWAP (the average price weighted by volume for the day) to confirm the overall market sentiment.
Use the MACD to make sure momentum is supporting your trade—no point jumping in if momentum isn’t backing it up.
How it works:
Go long when the 9 EMA crosses above the 20 EMA, price is above VWAP, and MACD is signaling positive momentum.
Go short when the 9 EMA crosses below the 20 EMA, price is below VWAP, and MACD shows bearish momentum.
Exit the trade when these signals flip or momentum fades.
Why it’s useful:
It helps you avoid trading against the trend by using the VWAP filter.
The MACD momentum check cuts down on fake breakouts.
It’s straightforward and works well on popular day trading charts like the 5-minute timeframe.
Great for high-volume stocks and futures like SPY, QQQ, or ES futures.
Things to keep in mind:
It doesn’t throw out signals all day — you get quality over quantity.
Like any strategy, it’s not perfect and can struggle during sideways markets.
Sticking to the rules and having patience is key.
All in all, this is a solid, no-nonsense strategy that mixes trend and momentum in a way that makes trading feel a bit more clear and less noisy. Perfect if you want a systematic approach without overcomplicating things.
Nidnoi 89 TheoryNidnoi Morning Trading style
// This strategy is based on a reversal logic applied to the 8AM candle (Bangkok Time, UTC+7).
// The logic is:
// - If the 8AM candle is bullish (green), it indicates potential exhaustion — enter a SELL at the 9AM open.
// - If the 8AM candle is bearish (red), it suggests a possible bounce — enter a BUY at the 9AM open.
// All trades are closed at the 10AM open, limiting exposure to 1 hour.
//
// This strategy is designed for XAUUSD on a 1-hour chart and aligns with short-term intraday reversal patterns.
// The actual time used in code (UTC+7) is 9PM for the 8AM candle, and 10PM for the exit at 10AM.
//
// Highlights are shown on the 8AM candle for visual confirmation.
// Make sure your chart is set to 1H timeframe and uses XAUUSD.
BTC 15m Range Breakout Strategy
This is a **BTC 15-minute Range Breakout Strategy** designed for Most Simple Bitcoin Trading Strategy | Bitcoin Trading Strategy | Theta Gainers
Here's a brief overview:
## Strategy Overview
**Core Concept**: The strategy identifies a narrow 15-minute range during low volatility and trades breakouts from that range.
**Key Components**:
- **Range Definition**: Creates a price range based on the high/low between 19:15-19:30 IST (Indian Standard Time)
- **Trading Session**: Operates from 19:00 to 05:30 IST (covers both Asian and early European sessions)
- **Entry Signals**:
- **Long**: When price breaks above the range high
- **Short**: When price breaks below the range low
- **Risk Management**: Uses the opposite range boundary as stop loss with a customizable risk-reward ratio (default 2:1)
**Logic**: This targets the common pattern where Bitcoin consolidates during low-volume periods, then breaks out with momentum as major trading sessions begin. The 19:15-19:30 IST window likely captures a quiet period before increased activity.
**Features**:
- Visual range box display
- Automatic alerts for entries/exits
- Session-based position management
- Only one position per session
- Positions close automatically at session end
The strategy is designed for systematic breakout trading with clear risk parameters and automated execution.
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거래량 지표 전략 (최종)"Leverage 100x, 10% of capital committed, 0.3% profit target, 0.2% stop loss."
레버리지 100배 이용, 10프로 자본금 투입, 0.3프로 수익 , 0.2프로 손해
"Volume Indicator Strategy (Final)" Summary
This Pine Script strategy is designed to integrate volume data from multiple cryptocurrency exchanges (Binance, Bitget, OKX, Bybit) across spot and futures markets. It then uses this consolidated volume data to identify volume spikes and apply an RSI filter to generate buy/sell signals.
Key Features and Logic:
Multi-Exchange/Asset Volume Consolidation:
Based on user settings, it fetches and sums up spot and perpetual futures volume data from Binance, Bitget, OKX, and Bybit.
It uses the request.security function to query volume data from each specified exchange.
NA (Not Available) data points are safely handled and treated as 0 to prevent calculation errors.
Volume Spike Detection:
It calculates the Simple Moving Average (avg_volume) of the combined_volume over a lookback period (default 70 bars).
A vol_7x condition is met when the combined_volume is equal to or greater than 7 times (vol_multiplier_7x, user-configurable) the avg_volume.
RSI Filter (Optional):
An RSI (Relative Strength Index) filter (enable_rsi_filter, user-configurable) can be applied in conjunction with the volume spike condition.
Short Entry Condition: vol_7x (volume spike) & price_up (current bar's close is higher than the previous close) & RSI is 73 or greater (if filter is enabled).
Long Entry Condition: vol_7x (volume spike) & price_down (current bar's close is lower than the previous close) & RSI is 28 or less (if filter is enabled).
Strategy Entry/Exit:
When entry conditions are met, the strategy enters a position at market price.
It includes a re-entry cooldown period (default 10 bars) to prevent immediate re-entry in the same direction.
Fixed Take Profit and Stop Loss percentages (0.3% Take Profit, 0.2% Stop Loss) are set to manage open positions.
Visualization:
The combined_volume is plotted as columns (plot.style_columns) in a lower pane, changing color when the 7x volume spike condition is met.
The avg_volume is plotted as a line.
Volume values on the plot (and intended for the Y-axis scale) are formatted using format=format.volume to display in K (thousands), M (millions), B (billions) units.
The chart background color changes to indicate RSI overbought (>= 70, red) and oversold (<= 30, blue) zones.
Labels are displayed on the chart for individual trade P/L (Profit/Loss), and an info panel shows the total P/L over a user-defined period.
This strategy aims to capture significant market movements by aggregating volume data across various sources and combining it with price action and momentum (RSI) analysis to generate automated trading signals.
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"거래량 지표 전략 (최종)" 요약
이 전략은 여러 암호화폐 거래소(바이낸스, 비트겟, OKX, 바이비트)의 현물(Spot) 및 선물(Futures) 거래량 데이터를 통합하여 사용하는 것을 핵심으로 합니다. 통합된 거래량 데이터를 바탕으로 거래량 급등을 포착하고 RSI 필터를 적용하여 매수/매도 신호를 생성하는 전략입니다.
주요 기능 및 로직:
다중 거래소/자산 거래량 통합:
사용자 설정에 따라 바이낸스, 비트겟, OKX, 바이비트의 현물 및 선물(무기한) 거래량을 개별적으로 가져와 합산합니다.
request.security 함수를 사용하여 각 거래소의 거래량 데이터를 요청합니다.
데이터가 없는 경우(NA)는 0으로 처리하여 계산 오류를 방지합니다.
거래량 급등 감지:
통합된 거래량(combined_volume)의 lookback 기간(기본 70봉) 이동평균(avg_volume)을 계산합니다.
combined_volume이 avg_volume의 7배(vol_multiplier_7x, 사용자 설정 가능) 이상으로 급등하면 vol_7x 조건을 만족합니다.
RSI 필터 (옵션):
거래량 급등 조건과 함께 RSI(상대 강도 지수) 필터(enable_rsi_filter, 사용자 설정 가능)를 적용할 수 있습니다.
매도(Short) 진입 조건: vol_7x (거래량 급등) & price_up (현재 봉 종가가 이전 봉보다 상승) & RSI가 73 이상일 때.
매수(Long) 진입 조건: vol_7x (거래량 급등) & price_down (현재 봉 종가가 이전 봉보다 하락) & RSI가 28 이하일 때.
전략 진입/청산:
위 진입 조건이 충족되면 시장가로 포지션에 진입합니다.
동일 방향으로 10봉 이내 재진입을 제한합니다.
고정 익절(Take Profit) 및 손절(Stop Loss) 비율(각각 0.3%, 0.2%)을 설정하여 포지션을 관리합니다.
시각화:
통합 거래량(combined_volume)은 차트 하단에 막대그래프(plot.style_columns)로 표시되며, 7배 급등 시 색상이 변경됩니다.
평균 거래량(avg_volume)은 선으로 표시됩니다.
거래량 값은 format=format.volume을 사용하여 K(천), M(백만), B(십억) 단위로 간소화되어 표시됩니다.
차트 배경색으로 RSI 과매수(70 이상, 빨간색) 및 과매도(30 이하, 파란색) 구간을 시각적으로 표시합니다.
개별 거래의 P/L(손익) 라벨과 지정된 기간 동안의 총 P/L을 차트 상단에 표시합니다.
이 전략은 여러 거래소의 거래량 데이터를 취합하여 시장의 전반적인 거래 활동을 파악하고, 이를 바탕으로 특정 패턴(거래량 급등 + 가격 방향 + RSI 필터)에 따라 매매 결정을 내리도록 설계되었습니다.
ZYTX RSI SuperTrendZYTX RSI SuperTrend
ZYTX RSI + SuperTrend Strategy
The definitive integration of RSI and SuperTrend trend-following indicators, delivering exemplary performance in automated trading bots.
ZYTX CCI SuperTrendZYTX CCI SuperTrend
The definitive integration of CCI and SuperTrend trend-following indicators, delivering exemplary performance in automated trading bots.
ZYTX SuperTrend V1ZYTX SuperTrend V1 Indicator
Multi-strategy intelligent rebalancing with >95% win rate
Enables 24/7 automated trading
ZYTX GKDDThe ZYTX High-Sell Low-Buy Indicator Strategy is a trend-following indicator that integrates multiple indicator resonances. It demonstrates the perfect performance of an automated trading robot, truly achieving the high-sell low-buy strategy in trading.
ADX GatekeeperADX Gatekeeper is an original strategy that combines three classic filters to improve trend-following accuracy and avoid choppy markets.
Combines RSI, OBV, and ADX filters to catch stronger trends and avoid sideways markets. RSI confirms momentum extremes, OBV confirms volume flow, and ADX filters low-trend conditions. Fully configurable for different market conditions.
RSI Filter: Avoids overbought/oversold traps by requiring RSI < 35 for longs and > 70 for shorts.
OBV Filter: Confirms directional volume with positive OBV changes for longs and negative for shorts.
ADX Filter: Filters out low-volatility sideways conditions by requiring ADX above a configurable threshold (default 45).
The combined conditions aim to identify stronger trend moves while avoiding choppy markets. All filters can be toggled on or off for flexibility.
Default risk: 10% of equity per trade. Users can adjust this.
Ideal for trend traders looking to filter noise and improve entry quality.
High Win Rate XAUUSD Strategy (EMA21 + RSI + Volume MA20)Buy Conditions:
Price above EMA 21
EMA 21 is rising
RSI > 55 and RSI increasing
Close is above EMA 21
Current candle is green (close > open)
Volume > MA20 of volume
Price below EMA 21
EMA 21 is falling
RSI < 45 and RSI decreasing
Close is below EMA 21
Current candle is red (close < open)
Volume > MA20 of volume
IU Grid Trading StrategyDESCRIPTION
The IU Grid Trading Strategy is designed to take advantage of ranging or sideways market conditions using a price-based grid system. This strategy automatically places long orders at predefined intervals below a starting grid level, creating a structured buy-the-dip approach. As price moves down, new long positions are opened at each level, and each position exits with a fixed profit target.
This is an ideal tool for traders who believe price will fluctuate between levels and eventually return to mean or higher ground. The script also includes a clean visual representation of grid levels and supports deep customization.
USER INPUTS
• Start Time – Strategy activation time to avoid historical noise
• Grid Start Level – The price level where the grid starts
• Grid Width – Distance between each grid level (in points)
• Number of Grids – Total number of grid levels below the start level
• Show Grid Levels – Option to display grid lines on the chart
LONG CONDITION
• The first long entry is triggered at the Grid Start Level
• Additional long entries are placed below the previous one, at each grid level
• Only one new long is added at a time, depending on the number of open trades
• All orders are placed as limit orders and managed dynamically
• Order comments and IDs help track positions clearly in the strategy tester
LONG EXIT
• Each long position has a fixed profit target
• The profit level is determined using:
Grid Width / Tick Size
• Once a position hits the defined profit, it is closed individually
• All open trades are actively monitored for exit triggers
WHY IT IS UNIQUE
• Supports up to 100 pyramiding trades to fully exploit grid setups
• Automatically cancels previous orders and manages each leg cleanly
• Smart time filter avoids backtesting from irrelevant historical data
• Cleanly plotted grid lines for better visual control
• High degree of customization to adapt to any instrument or timeframe
• Designed with realistic slippage, commission, and margin settings
HOW USER CAN BENEFIT FROM IT
• Ideal for range-bound markets or assets with mean-reverting behavior
• Helps accumulate positions at better prices without emotional bias
• Provides structured entries and exits with automated management
• Suitable for traders who prefer non-directional strategies
• Highly visual and educational for those learning about grid trading mechanisms
• Can be modified to support short trades or hybrid strategies
DISCLAIMER
This strategy is not financial advice, it's for educational purposes only highlighting the power of coding( pine script) in TradingView, I am not a SEBI-registered advisor. Trading and investing involve risk, and you should consult with a qualified financial advisor before making any trading decisions. I do not guarantee profits or take responsibility for any losses you may incur.
Marcin Bitcoin📊 Core Logic and Conditions
✅ Entry Condition (Long):
Buy signal occurs when all of the following are true:
🔼 Uptrend — The centerline of the Gaussian filter (filt) is going up.
💥 Breakout — The current price is above the upper band of the Gaussian channel (close > hband).
⚡ Momentum — The Stochastic RSI %K is greater than 80, meaning the price is in a strong overbought zone (indicating strong momentum).
📅 Within the Date Range — The current bar is within the selected backtest window.
➡️ If all are true, the strategy enters a long position.
❌ Exit Condition (Close Position):
Sell signal (close position) occurs when:
The price crosses below the upper band (crossunder(close, hband))
Within the selected time window
➡️ This acts as a trailing stop — the position is held as long as the price stays above the breakout band.
🧠 Why It Might Work
The strategy tries to catch strong upward breakouts with high momentum.
It avoids chop and sideways moves by requiring:
Trend confirmation (filter rising),
Momentum confirmation (Stoch > 80),
Breakout (price > upper band)
PC UpdatedThis indicator identifies a high-probability breakout setup using a simple but powerful 3-candle formation. It works on lower timeframes (like 5m) and is ideal for scalping or short-term intraday setups.
NASDAQ Liquidity Breaker Bot1. Define session time (7:20 PM – 7:40 PM BD time / 9:20–9:40 AM EST)
2. Detect 15M swing high/low zones
3. On 1M chart: Detect strong bullish/bearish break
4. Identify breaker candle zone
5. Trigger entry based on break + retest logic
6. Set SL and TP logic (dynamic if needed)
7. Plot everything visually (entries, exits, zones)
MACD EMA + Time FilterStrategy Description: MACD EMA + Time Filter
This strategy combines MACD momentum, EMA trend filtering, and an optional time-based session filter (GMT+7) to generate high-probability trading signals. It is designed for intraday or short-term trading on small timeframes, and allows both Buy and Sell setups with fixed Risk-Reward (RR) control.
✅ Key Components:
EMA Filter: Uses a 21-period Exponential Moving Average (EMA) to determine the trend direction.
MACD Confirmation: Entries are confirmed using MACD crossover signals with customizable fast, slow, and signal periods.
Time Filter: Trades are only taken during a defined session (e.g., 19:00–22:00 GMT+7), ideal for high-liquidity trading hours.
RR Management: Entry signals include automatic Stop Loss (SL) and Take Profit (TP) levels, based on a pip buffer and RR multiplier.
Custom Options:
Enable/disable Buy or Sell signals
Show/hide SL/TP labels
Optionally display EMA on chart
