Trading strategy Jesse LivermoreLong only trading strategies based on Jesse Livermore's trading philosophy
Educational
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.
########################################################################################
Ready to Elevate Your Trading? Explore many strategies
for traders who seek to refine their edge further to amplify consistency precision and more importantly greately minimising losses. 🚀
Visit lyrobtics.in
Contact: lyrobtics@gmail.com
#######################################################################################################
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
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.
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.
My strategyThe Combination 1 strategy is a precision-based breakout and retest setup designed for the EUR/USD 2-minute chart, operating during the Asia and London sessions (UTC-4). It identifies a unique consolidation zone where price, the 20-period SMA, and the 200-period SMA all align within a tight 2-pip range, signaling potential buildup. Once price breaks 10 to 15 pips above this consolidation area, the strategy waits for a retest—specifically, a wick that touches the zone, followed by a bullish close. This confirms buyer strength and triggers a BUY alert, with the take profit set at the breakout high and the stop loss at the recent swing low. This strategy filters for clean trends and disciplined breakouts, minimizing noise and maximizing precision.
Gaussian/Stoch-RSI Breakout Strategy🧠 Overview
The Gaussian/Stoch-RSI Breakout Strategy is a trend-following breakout strategy that combines a Gaussian Moving Average Channel with a Stochastic RSI filter. It identifies bullish breakouts when price exceeds statistically significant volatility bands and momentum confirms the move.
This strategy is best suited for trend initiation points and works across various asset classes (e.g., Forex, indices, crypto) and timeframes.
⚙️ Strategy Logic
🎯 Entry Conditions (Long Only)
A long position is triggered when both of the following conditions are met:
The closing price crosses above the upper Gaussian channel.
The Stoch RSI K line crosses above the D line (indicating bullish momentum).
❌ Exit Conditions
The long position is closed when:
The closing price falls back below the upper Gaussian channel.
🧮 Indicators & Calculations
📈 Gaussian Moving Average Channel
A Gaussian-weighted moving average is used to smooth price.
Standard deviation is computed using Gaussian weights to construct a volatility-based channel.
The channel is defined by:
Midline: Gaussian-weighted moving average
Upper Band: Midline + (Standard Deviation × Multiplier)
Lower Band: Midline − (Standard Deviation × Multiplier)
🔁 Stochastic RSI
Combines RSI with a Stochastic calculation to identify momentum shifts.
Used as a filter to confirm the strength of a breakout.
The following plots are displayed on the chart:
Gaussian Midline – Red line: core trend anchor
Upper & Lower Bands – Blue lines: breakout thresholds
Stochastic RSI is not plotted by default but used internally
🛠️ Notes & Best Practices
Timeframe: Strategy can be used on intraday or higher timeframes. For reduced noise, consider using it on 1H or higher.
No Short Trades: This version is long-only.
No Stop Loss / Take Profit: The strategy relies on a trailing exit via the Gaussian channel.
📌 Disclaimer
This strategy is intended for educational and research purposes only. Past performance does not guarantee future results. Always test strategies in a simulated environment before deploying them on a live account. This is not financial advice.
Ultimate Poker Bluff Strategy🎲 Ultimate Poker Bluff Strategy (Intraday Trading)
This strategy integrates multiple sophisticated concepts into a dynamic intraday trading system designed to identify and capitalize on short-term market inefficiencies (fake pumps and fakeouts).
The fake pump indicator can be found here:
📌 Core Concepts & Logic
This TradingView (Pine Script) strategy combines:
Poker principles:
Pot Odds: Ensures a positive risk-reward ratio (at least 2:1).
Bluff Detection: Identifies fake pumps or unnatural price movements using arbitrage detection methods relative to a benchmark (e.g., DXY).
Blackjack "Forbidden Strategy" principles:
Dynamically adjusts the position size based on the profitability of recent trades, scaling up slightly after wins and scaling down after losses.
Devil’s Game (Risk Management):
Implements strict capital protection rules by capping the maximum allowed position size, safeguarding your capital against rare and extreme market events.
⚙️ Detailed Explanation of Parameters
🎛 Strategy Inputs
Basis Risk % per Trade (baseRiskPercent): The baseline percentage of capital risked per trade (default is 1%).
TP ATR Multiplier (atrTPMultiplier = 3.0): Defines the profit target as a multiple of the ATR (Average True Range).
SL ATR Multiplier (atrSLMultiplier = 0.5): Defines the stop-loss level as a multiple of ATR. A tight SL ensures high Reward/Risk.
ATR Length (atrLength = 10): Period for ATR calculation to measure volatility.
Max Position per Trade ($) (maxAbsolutePosition): Maximum allowed position size in USD to protect from catastrophic losses (default is $100,000).
Fake Pump Scale (k) (k = 0.25): Sensitivity setting for detecting unusual price discrepancies (fake pumps).
Benchmark Asset (benchmarkTicker = "DXY"): The asset used as a reference benchmark for arbitrage detection.
📈 Indicators & Calculations
Volatility Measurement (ATR)
Uses the ATR indicator to set dynamic take-profit and stop-loss levels:
Take Profit = current price + (ATR × 3)
Stop Loss = current price − (ATR × 0.5)
Fake Pump Detection (Arbitrage Indicator)
Measures deviations from expected asset price based on a constant relation with a benchmark (e.g., DXY).
Generates EMAs (arb_ema_fast and arb_ema_slow) to detect abnormal short-term movements.
Defines upper and lower thresholds (arb_threshold) to identify potential fake pumps or unsustainable price spikes.
Gamma Stability Check
Ensures stable market conditions by confirming that the difference between fast and slow EMAs (arb_ema_fast and arb_ema_slow) remains small. Trades are entered only during stable conditions to avoid high volatility periods.
🔄 Dynamic Blackjack Position Sizing
Adjusts position sizing dynamically based on previous trade results:
Profitable last trade → Increase risk slightly (up to a cap of 3%).
Losing last trade → Reduce risk to 75% of base risk, enhancing capital protection.
🚨 Entry & Exit Logic
Long Entry Conditions:
Fast EMA crosses above Slow EMA (bullish crossover).
Market is stable (gamma_stable condition true).
Previous candle indicated a downward fake pump (isFakePumpDown ).
Short Entry Conditions:
Fast EMA crosses below Slow EMA (bearish crossover).
Market is stable (gamma_stable condition true).
Previous candle indicated an upward fake pump (isFakePumpUp ).
Risk-Reward Validation: Only enters trades when the risk-reward ratio is at least 2:1.
🛡️ Capital Protection (Devil’s Game Principle)
Ensures no single trade exceeds the absolute maximum allowable position size, providing protection against rare, catastrophic events.
🖥️ Visual Plots for Analysis
Triangles: Visual indications of detected fake pumps:
🔻 Red down arrow: Potential fake upward spike.
🔺 Green up arrow: Potential fake downward spike.
🎯 Strategy Goals & Benefits
Identifies high-probability intraday trades using a rigorous probabilistic framework inspired by professional gambling strategies.
Limits exposure effectively, scaling position size strategically to capitalize on profitable sequences and minimize the impact of losing streaks.
Ensures long-term capital growth with disciplined risk and reward management.
This is just an experiment on how to identify fake moves in the market which works especially in lower timeframe. This is not financial advice.
MULTI INDICATOR BY DEEPANINDIAThis TradingView strategy combines EMA, SuperTrend, and swing high/low to identify trend breakouts. A long trade is triggered when the previous candle closes above the EMA High and the current candle breaks the prior high. A short trade occurs (if not in Long Only mode) when the opposite happens with the EMA Low. The SuperTrend confirms trend direction, while swing points act as dynamic stop-loss levels. The script includes customizable inputs for EMA lengths, SuperTrend settings, and swing lookback. It helps traders capture strong trends with defined entries and exits using a rules-based, multi-indicator approach.
MULTI INDICATOR BY DEEPANINDIAThis TradingView strategy combines EMA, SuperTrend, and swing high/low to identify trend breakouts. A long trade is triggered when the previous candle closes above the EMA High and the current candle breaks the prior high. A short trade occurs (if not in Long Only mode) when the opposite happens with the EMA Low. The SuperTrend confirms trend direction, while swing points act as dynamic stop-loss levels. The script includes customizable inputs for EMA lengths, SuperTrend settings, and swing lookback. It helps traders capture strong trends with defined entries and exits using a rules-based, multi-indicator approach.
Random Coin Toss Strategy📌 Overview
This strategy is a probability-based trading simulation that randomly decides trade direction using a coin-toss mechanism and executes trades with a customizable risk-reward ratio. It's designed primarily for testing entry frequency and risk dynamics, not predictive accuracy.
🎯 Core Concept
Every N bars (configurable), the strategy performs a pseudo-random coin toss.
Based on the result:
If heads → Buy
If tails → Sell
Once a position is opened, it sets a Stop-Loss (SL) and Take-Profit (TP) based on a multiple of the current ATR (Average True Range) value.
⚙️ Configurable Inputs
ATR Length Period for ATR calculation, determines volatility basis.
SL Multiplier SL distance = ATR × multiplier (e.g., 1.0 means 1x ATR) .
TP Multiplier TP distance = ATR × multiplier (e.g., 2.0 = 2x ATR) .
Entry Frequency Bars to wait between each new coin toss decision.
Show TP/SL Zones Toggle on/off for drawing visual TP and SL zones.
Box Size Number of bars used to define the width of the TP/SL boxes.
🔁 Entry & Exit Logic
Entry:
Happens only when no current position exists and it's the correct bar interval.
Entry direction is randomly decided.
Exit:
Positions exit at either:
Take-Profit (TP) level
Stop-Loss (SL) level
Both are calculated using the configured ATR-based distances.
🖼️ Visual Features
TP and SL zones:
Rendered as shaded rectangles (boxes) only once per trade.
Green box for TP zone, red box for SL zone.
Automatically deleted and redrawn for each new trade to avoid chart clutter.
ATR Display Table:
A minimal info table at the top-right shows the current ATR value.
Updates every few bars for performance.
🧪 Use Cases
Ideal for risk-reward modeling, strategy prototyping, and understanding how volatility-based SL/TP behavior affects results.
Great for backtesting frequency, RR tweaks (e.g., 2:5 or 3:1), and execution structure in random conditions.
⚠️ Disclaimer
Since the trade direction is random, this script is not meant for predictive trading but serves as a powerful experiment framework for studying how SL, TP, and volatility interact with random chance in a controlled, repeatable system.
Holy GrailThis is a long-only educational strategy that simulates what happens if you keep adding to a position during pullbacks and only exit when the asset hits a new All-Time High (ATH). It is intended for learning purposes only — not for live trading.
🧠 How it works:
The strategy identifies pullbacks using a simple moving average (MA).
When price dips below the MA, it begins monitoring for the first green candle (close > open).
That green candle signals a potential bottom, so it adds to the position.
If price goes lower, it waits for the next green candle and adds again.
The exit happens after ATH — it sells on each red candle (close < open) once a new ATH is reached.
You can adjust:
MA length (defines what’s considered a pullback)
Initial buy % (how much to pre-fill before signals start)
Buy % per signal (after pullback green candle)
Exit % per red candle after ATH
📊 Intended assets & timeframes:
This strategy is designed for broad market indices and long-term appreciating assets, such as:
SPY, NASDAQ, DAX, FTSE
Use it only on 1D or higher timeframes — it’s not meant for scalping or short-term trading.
⚠️ Important Limitations:
Long-only: The script does not short. It assumes the asset will eventually recover to a new ATH.
Not for all assets: It won't work on assets that may never recover (e.g., single stocks or speculative tokens).
Slow capital deployment: Entries happen gradually and may take a long time to close.
Not optimized for returns: Buy & hold can outperform this strategy.
No slippage, fees, or funding costs included.
This is not a performance strategy. It’s a teaching tool to show that:
High win rate ≠ high profitability
Patience can be deceiving
Many signals = long capital lock-in
🎓 Why it exists:
The purpose of this strategy is to demonstrate market psychology and risk overconfidence. Traders often chase strategies with high win rates without considering holding time, drawdowns, or opportunity cost.
This script helps visualize that phenomenon.
Tuga SupertrendDescription
This strategy uses the Supertrend indicator enhanced with commission and slippage filters to capture trends on the daily chart. It’s designed to work on any asset but is especially effective in markets with consistent movements.
Use the date inputs to set the backtest period (default: from January 1, 2018, through today, June 30, 2025).
The default input values are optimized for the daily chart. For other timeframes, adjust the parameters to suit the asset you’re testing.
Release Notes
June 30, 2025
• Updated default backtest period to end on June 30, 2025.
• Default commission adjusted to 0.1 %.
• Slippage set to 3 ticks.
• Default slippage set to 3 ticks.
• Simplified the strategy name to “Tuga Supertrend”.
Default Parameters
Parameter Default Value
Supertrend Period 10
Multiplier (Factor) 3
Commission 0.1 %
Slippage 3 ticks
Start Date January 1, 2018
End Date June 30, 2025
Ticker Pulse Meter + Fear EKG StrategyDescription
The Ticker Pulse Meter + Fear EKG Strategy is a technical analysis tool designed to identify potential entry and exit points for long positions based on price action relative to historical ranges. It combines two proprietary indicators: the Ticker Pulse Meter (TPM), which measures price positioning within short- and long-term ranges, and the Fear EKG, a VIX-inspired oscillator that detects extreme market conditions. The strategy is non-repainting, ensuring signals are generated only on confirmed bars to avoid false positives. Visual enhancements, such as optional moving averages and Bollinger Bands, provide additional context but are not core to the strategy's logic. This script is suitable for traders seeking a systematic approach to capturing momentum and mean-reversion opportunities.
How It Works
The strategy evaluates price action using two key metrics:
Ticker Pulse Meter (TPM): Measures the current price's position within short- and long-term price ranges to identify momentum or overextension.
Fear EKG: Detects extreme selling pressure (akin to "irrational selling") by analyzing price behavior relative to historical lows, inspired by volatility-based oscillators.
Entry signals are generated when specific conditions align, indicating potential buying opportunities. Exits are triggered based on predefined thresholds or partial position closures to manage risk. The strategy supports customizable lookback periods, thresholds, and exit percentages, allowing flexibility across different markets and timeframes. Visual cues, such as entry/exit dots and a position table, enhance usability, while optional overlays like moving averages and Bollinger Bands provide additional chart context.
Calculation Overview
Price Range Calculations:
Short-Term Range: Uses the lowest low (min_price_short) and highest high (max_price_short) over a user-defined short lookback period (lookback_short, default 50 bars).
Long-Term Range: Uses the lowest low (min_price_long) and highest high (max_price_long) over a user-defined long lookback period (lookback_long, default 200 bars).
Percentage Metrics:
pct_above_short: Percentage of the current close above the short-term range.
pct_above_long: Percentage of the current close above the long-term range.
Combined metrics (pct_above_long_above_short, pct_below_long_below_short) normalize price action for signal generation.
Signal Generation:
Long Entry (TPM): Triggered when pct_above_long_above_short crosses above a user-defined threshold (entryThresholdhigh, default 20) and pct_below_long_below_short is below a low threshold (entryThresholdlow, default 40).
Long Entry (Fear EKG): Triggered when pct_below_long_below_short crosses under an extreme threshold (orangeEntryThreshold, default 95), indicating potential oversold conditions.
Long Exit: Triggered when pct_above_long_above_short crosses under a profit-taking level (profitTake, default 95). Partial exits are supported via a user-defined percentage (exitAmt, default 50%).
Non-Repainting Logic: Signals are calculated using data from the previous bar ( ) and only plotted on confirmed bars (barstate.isconfirmed), ensuring reliability.
Visual Enhancements:
Optional moving averages (SMA, EMA, WMA, VWMA, or SMMA) and Bollinger Bands can be enabled for trend context.
A position table displays real-time metrics, including open positions, Fear EKG, and Ticker Pulse values.
Background highlights mark periods of high selling pressure.
Entry Rules
Long Entry:
TPM Signal: Occurs when the price shows strength relative to both short- and long-term ranges, as defined by pct_above_long_above_short crossing above entryThresholdhigh and pct_below_long_below_short below entryThresholdlow.
Fear EKG Signal: Triggered by extreme selling pressure, when pct_below_long_below_short crosses under orangeEntryThreshold. This signal is optional and can be toggled via enable_yellow_signals.
Entries are executed only on confirmed bars to prevent repainting.
Exit Rules
Long Exit: Triggered when pct_above_long_above_short crosses under profitTake.
Partial exits are supported, with the strategy closing a user-defined percentage of the position (exitAmt) up to four times per position (exit_count limit).
Exits can be disabled or adjusted via enable_short_signal and exitPercentage settings.
Inputs
Backtest Start Date: Defines the start of the backtesting period (default: Jan 1, 2017).
Lookback Periods: Short (lookback_short, default 50) and long (lookback_long, default 200) periods for range calculations.
Resolution: Timeframe for price data (default: Daily).
Entry/Exit Thresholds:
entryThresholdhigh (default 20): Threshold for TPM entry.
entryThresholdlow (default 40): Secondary condition for TPM entry.
orangeEntryThreshold (default 95): Threshold for Fear EKG entry.
profitTake (default 95): Exit threshold.
exitAmt (default 50%): Percentage of position to exit.
Visual Options: Toggle for moving averages and Bollinger Bands, with customizable types and lengths.
Notes
The strategy is designed to work across various timeframes and assets, with data sourced from user-selected resolutions (i_res).
Alerts are included for long entry and exit signals, facilitating integration with TradingView's alert system.
The script avoids repainting by using confirmed bar data and shifted calculations ( ).
Visual elements (e.g., SMA, Bollinger Bands) are inspired by standard Pine Script practices and are optional, not integral to the core logic.
Usage
Apply the script to a chart, adjust input settings to suit your trading style, and use the visual cues (entry/exit dots, position table) to monitor signals. Enable alerts for real-time notifications.
Designed to work best on Daily timeframe.
S4_IBS_Mean_Rev_3candleExitOverview:
This is a rules-based, mean reversion strategy designed to trade pullbacks using the Internal Bar Strength (IBS) indicator. The system looks for oversold conditions based on IBS, then enters long trades , holding for a maximum of 3 bars or until the trade becomes profitable.
The strategy includes:
✅ Strict entry rules based on IBS
✅ Hardcoded exit conditions for risk management
✅ A clean visual table summarizing key performance metrics
How It Works:
1. Internal Bar Strength (IBS) Setup:
The IBS is calculated using the previous bar’s price range:
IBS = (Previous Close - Previous Low) / (Previous High - Previous Low)
IBS values closer to 0 indicate price is near the bottom of the previous range, suggesting oversold conditions.
2. Entry Conditions:
IBS must be ≤ 0.25, signaling an oversold setup.
Trade entries are only allowed within a user-defined backtest window (default: 2024).
Only one trade at a time is permitted (long-only strategy).
3. Exit Conditions:
If the price closes higher than the entry price, the trade exits with a profit.
If the trade has been open for 3 bars without showing profit, the trade is forcefully exited.
All trades are closed automatically at the end of the backtest window if still open.
Additional Features:
📊 A real-time performance metrics table is displayed on the chart, showing:
- Total trades
- % of profitable trades
- Total P&L
- Profit Factor
- Max Drawdown
- Best/Worst trade performance
📈 Visual markers indicate trade entries (green triangle) and exits (red triangle) for easy chart interpretation.
Who Is This For?
This strategy is designed for:
✅ Traders exploring systematic mean reversion approaches
✅ Those who prefer strict, rules-based setups with no subjective decision-making
✅ Traders who want built-in performance tracking directly on the chart
Note: This strategy is provided for educational and research purposes. It is a backtested model and past performance does not guarantee future results. Users should paper trade and validate performance before considering real capital.
Random State Machine Strategy📌 Random State Machine Strategy (Educational)
This strategy showcases a randomized entry model driven by a finite state machine, integrated with user-defined exit controls and a full-featured moving average filter.
🧠 Trade Entry Logic
Entries occur only when:
A random trigger occurs (~5% probability per bar)
The state machine accepts a new transition (sm.step())
Price is:
Above the selected MA for long entries
Below the selected MA for short entries
This ensures that entries are both stochastically driven and trend-aligned, avoiding frequent or arbitrary trades.
⚙️ How It Works
Randomized Triggers
A pseudo-random generator (seeded with time and volume) attempts to trigger state transitions.
Finite State Machine
Transitions are managed using the StateMachine from robbatt/lib_statemachine — credit to @robbatt for the modular FSM design.
Controlled Reset
The state machine resets every N bars (default: 100) if at least two transitions have occurred. This prevents stale or locked states.
Backtest Range
Define a specific test window using Start and End Date inputs.
Risk & Exits
Specify risk in points and a target risk/reward ratio. TP is auto-computed. Timed and MA-based exits can be toggled.
🧪 How to Use
Enable Long or Short trades
Choose your Moving Average type and length
Set Risk per trade and R/R ratio
Toggle TP/SL, timed exit, or MA cross exit
Adjust the State Reset Interval to suit your signal frequency
📘 Notes
Educational use only — not financial advice
Random logic is used to model structure, not predict movement
Thanks to @robbatt for the lib_statemachine integration
Multi-Indicator Trend-Following Strategy v6Multi-Indicator Trend-Following Strategy v6
This strategy uses a combination of technical indicators to identify potential trend-following trade entries and exits. It is intended for educational and research purposes.
How it works:
Moving Averages (EMA): Entry signals are generated on crossovers between a fast and slow exponential moving average.
RSI Filter: Confirms momentum with a threshold above/below 50 for long/short entries.
Volume Confirmation: Requires volume to exceed a moving average multiplied by a user-defined factor.
ATR-Based Risk Management: Stop loss and take profit levels are calculated using the Average True Range (ATR), allowing for dynamic risk control based on market volatility.
Customizable Inputs:
Fast/Slow MA lengths
RSI length and levels
MACD settings (used in calculation, not directly in signal)
Volume MA and multiplier
ATR period and multipliers for stop loss and take profit
Notes:
This strategy does not guarantee future results.
It is provided for analysis and backtesting only.
Alerts are available for buy/sell conditions.
Feel free to adjust parameters to explore different market conditions and asset classes.
magic wand STSM"Magic Wand STSM" Strategy: Trend-Following with Dynamic Risk Management
Overview:
The "Magic Wand STSM" (Supertrend & SMA Momentum) is an automated trading strategy designed to identify and capitalize on sustained trends in the market. It combines a multi-timeframe Supertrend for trend direction and potential reversal signals, along with a 200-period Simple Moving Average (SMA) for overall market bias. A key feature of this strategy is its dynamic position sizing based on a user-defined risk percentage per trade, and a built-in daily and monthly profit/loss tracking system to manage overall exposure and prevent overtrading.
How it Works (Underlying Concepts):
Multi-Timeframe Trend Confirmation (Supertrend):
The strategy uses two Supertrend indicators: one on the current chart timeframe and another on a higher timeframe (e.g., if your chart is 5-minute, the higher timeframe Supertrend might be 15-minute).
Trend Identification: The Supertrend's direction output is crucial. A negative direction indicates a bearish trend (price below Supertrend), while a positive direction indicates a bullish trend (price above Supertrend).
Confirmation: A core principle is that trades are only considered when the Supertrend on both the current and the higher timeframe align in the same direction. This helps to filter out noise and focus on stronger, more confirmed trends. For example, for a long trade, both Supertrends must be indicating a bearish trend (price below Supertrend line, implying an uptrend context where price is expected to stay above/rebound from Supertrend). Similarly, for short trades, both must be indicating a bullish trend (price above Supertrend line, implying a downtrend context where price is expected to stay below/retest Supertrend).
Trend "Readiness": The strategy specifically looks for situations where the Supertrend has been stable for a few bars (checking barssince the last direction change).
Long-Term Market Bias (200 SMA):
A 200-period Simple Moving Average is plotted on the chart.
Filter: For long trades, the price must be above the 200 SMA, confirming an overall bullish bias. For short trades, the price must be below the 200 SMA, confirming an overall bearish bias. This acts as a macro filter, ensuring trades are taken in alignment with the broader market direction.
"Lowest/Highest Value" Pullback Entries:
The strategy employs custom functions (LowestValueAndBar, HighestValueAndBar) to identify specific price action within the recent trend:
For Long Entries: It looks for a "buy ready" condition where the price has found a recent lowest point within a specific number of bars since the Supertrend turned bearish (indicating an uptrend). This suggests a potential pullback or consolidation before continuation. The entry trigger is a close above the open of this identified lowest bar, and also above the current bar's open.
For Short Entries: It looks for a "sell ready" condition where the price has found a recent highest point within a specific number of bars since the Supertrend turned bullish (indicating a downtrend). This suggests a potential rally or consolidation before continuation downwards. The entry trigger is a close below the open of this identified highest bar, and also below the current bar's open.
Candle Confirmation: The strategy also incorporates a check on the candle type at the "lowest/highest value" bar (e.g., closevalue_b < openvalue_b for buy signals, meaning a bearish candle at the low, suggesting a potential reversal before a buy).
Risk Management and Position Sizing:
Dynamic Lot Sizing: The lotsvalue function calculates the appropriate position size based on your Your Equity input, the Risk to Reward ratio, and your risk percentage for your balance % input. This ensures that the capital risked per trade remains consistent as a percentage of your equity, regardless of the instrument's volatility or price. The stop loss distance is directly used in this calculation.
Fixed Risk Reward: All trades are entered with a predefined Risk to Reward ratio (default 2.0). This means for every unit of risk (stop loss distance), the target profit is rr times that distance.
Daily and Monthly Performance Monitoring:
The strategy tracks todaysWins, todaysLosses, and res (daily net result) in real-time.
A "daily profit target" is implemented (day_profit): If the daily net result is very favorable (e.g., res >= 4 with todaysLosses >= 2 or todaysWins + todaysLosses >= 8), the strategy may temporarily halt trading for the remainder of the session to "lock in" profits and prevent overtrading during volatile periods.
A "monthly stop-out" (monthly_trade) is implemented: If the lres (overall net result from all closed trades) falls below a certain threshold (e.g., -12), the strategy will stop trading for a set period (one week in this case) to protect capital during prolonged drawdowns.
Trade Execution:
Entry Triggers: Trades are entered when all buy/sell conditions (Supertrend alignment, SMA filter, "buy/sell situation" candle confirmation, and risk management checks) are met, and there are no open positions.
Stop Loss and Take Profit:
Stop Loss: The stop loss is dynamically placed at the upTrendValue for long trades and downTrendValue for short trades. These values are derived from the Supertrend indicator, which naturally adjusts to market volatility.
Take Profit: The take profit is calculated based on the entry price, the stop loss, and the Risk to Reward ratio (rr).
Position Locks: lock_long and lock_short variables prevent immediate re-entry into the same direction once a trade is initiated, or after a trend reversal based on Supertrend changes.
Visual Elements:
The 200 SMA is plotted in yellow.
Entry, Stop Loss, and Take Profit lines are plotted in white, red, and green respectively when a trade is active, with shaded areas between them to visually represent risk and reward.
Diamond shapes are plotted at the bottom of the chart (green for potential buy signals, red for potential sell signals) to visually indicate when the buy_sit or sell_sit conditions are met, along with other key filters.
A comprehensive trade statistics table is displayed on the chart, showing daily wins/losses, daily profit, total deals, and overall profit/loss.
A background color indicates the active trading session.
Ideal Usage:
This strategy is best applied to instruments with clear trends and sufficient liquidity. Users should carefully adjust the Your Equity, Risk to Reward, and risk percentage inputs to align with their individual risk tolerance and capital. Experimentation with different ATR Length and Factor values for the Supertrend might be beneficial depending on the asset and timeframe.
Hybrid: RSI + Breakout + DashboardHybrid RSI + Breakout Strategy
Adaptive trading system that switches modes based on market regime:
Ranging: Buys when RSI < 30 and sells when RSI > 70.
Trending: Enters momentum breakouts only in the direction of the 200-EMA bias, with ADX confirming trend strength.
Risk Management: Trailing stop locks profits and caps drawdown.
Optimized for BTC, ETH, and SOL on 1 h–1 D charts; back-tested from 2017 onward. Educational use only—run your own tests before deploying live funds.
Anomaly Counter-Trend StrategyA mean-reversion style strategy that automatically spots unusually large price moves over a configurable lookback period and takes the opposite side, with full risk-management, commission and slippage modeling—built in Pine Script® v6.
🔎 Overview
ACTS monitors the percent-change over the past N minutes and, when that move exceeds your chosen threshold, enters a counter-trend position (short on a strong rise; long on a sharp fall). It’s ideal for markets that often “overshoot” and snap back, and can be applied on any symbol or timeframe.
⚙️ Key Features
Anomaly Detection: Detect abnormal price swings based on a user-defined % change over a lookback period.
Counter-Trend Entries: Auto-enter short on rise anomalies, long on fall anomalies (with seamless flat↔reverse transitions).
Risk Management: Configurable stop-loss and take-profit in ticks per trade.
Realistic Modeling: Simulates commissions (0.05 % default), slippage (2 ticks), and percent-of-equity sizing.
Immediate Bar-Close Execution: Orders processed on bar close for faster fills.
Visual Aids: Optional on-chart BUY/SELL triangles and background highlights during anomaly periods.
⚙️ Inputs
Input Default Description
Percentage Threshold (%) 2.00 Min % move over lookback to trigger an anomaly.
Lookback Period (Minutes) 15 Number of minutes over which to measure change.
Stop Loss (Ticks) 100 Distance from entry for stop-loss exit.
Take Profit (Ticks) 200 Distance from entry for take-profit exit.
Plot Trade Signal Shapes (on/off) true Show BUY/SELL triangles on chart.
Highlight Anomaly Background true Shade background during anomaly bars.
📊 How to Use
Add to Chart: Apply the script to any ticker & timeframe.
Tune: Adjust your percentage threshold and lookback to match each instrument’s volatility.
Review Backtest: Check built-in strategy performance (drawdown, Sharpe, etc.) under the Strategy Tester tab.
Go Live: Once optimized, link to alerts or your trade execution system.
⚠️ Disclaimer
This script is provided “as-is” for educational purposes and backtesting only. Past performance does not guarantee future results. Always backtest thoroughly, manage your own risk, and consider market conditions before live trading.
Enjoy experimenting—and may your counter-trend entries catch the next big snapback!
Timeframe StrategyThis is a multi-timeframe trading strategy inspired by Ross Cameron's style, optimized for scalping and trend-following across various timeframes (1m, 5m, 15m, 1h, and 1D). The strategy integrates a comprehensive set of technical indicators, dynamic risk management, and visual tools.
Core Features
Dynamic Take Profit, Stop Loss & Trailing Stop
> Separate settings per timeframe for:
-TP% (Take Profit)
-SL% (Stop Loss)
-Trailing Stop %
-Cooldown bars
> Configurable via UI inputs.
>Smart Entry Conditions
Bullish entry: EMA9 crossover EMA20 and EMA50 > EMA200
Bearish entry: EMA9 crossunder EMA20 and EMA50 < EMA200
>Additional confirmation filters:
-Volume Filter (enabled/disabled via UI)
-Time Filter (e.g., only between 15:00–20:00 UTC)
-Spike Filter: rejects high-volatility candles
-RSI Filter: above/below 50 for trend confirmation
-ADX Filter (only applied on 1m, e.g., ADX > 15)
-Micro-Volatility Filter: minimum range percentage (1m only)
-Trend Filter (1m only): price must be above/below EMA200
>Trailing Stop Logic
-Configurable for each timeframe.
- Optional via toggle (use_trailing).
>Trade Cooldown Logic
-Prevents consecutive trades within X bars, configurable per timeframe.
>Technical Indicators Used
-EMA 9 / 20 / 50 / 200
-VWAP
-RSI (14)
-ATR (14) for volatility-based spike filtering
-Custom-calculated ADX (14) (manually implemented)
>Visual Elements
🔼/🔽 Entry signals (long/short) plotted on the chart.
📉 Table in bottom-left:
Displays current values of EMA/VWAP/volume/ATR/ADX.
> Optional "Tab info" panel in top-right (toggleable):
-Timeframe & strategy settings
-Live status of filters (volume, time, cooldown, spike, RSI, ADX, range, trend)
-Uses emoji (✅ / ❌) for quick diagnostics.
>User Customization
-Inputs per timeframe for all key parameters.
-Toggle switches for:
-Trailing stop
-Volume filter
-Info table visibility
This strategy is designed for active traders seeking a balance between momentum entry, risk control, and adaptability across timeframes. It's ideal for backtesting quick reversals or breakout setups in fast markets, especially at lower timeframes like 1m or 5m.
External Signals Strategy Tester v5External Signals Strategy Tester v5 – User Guide (English)
1. Purpose
This Pine Script strategy is a universal back‑tester that lets you plug in any external buy/sell series (for example, another indicator, webhook feed, or higher‑time‑frame condition) and evaluate a rich set of money‑management rules around it – with a single click on/off workflow for every module.
2. Core Workflow
Feed signals
Buy Signal / Sell Signal inputs accept any series (price, boolean, output of request.security(), etc.).
A crossover above 0 is treated as “signal fired”.
Date filter
Start Date / End Date restricts the test window so you can exclude unwanted history.
Trade engine
Optional Long / Short enable toggles.
Choose whether opposite signals simply close the trade or reverse it (flip direction in one transaction).
Risk modules – all opt‑in via check‑boxes
Classic % block – fixed % Take‑Profit / Stop‑Loss / Break‑Even.
Fibonacci Bollinger Bands (FBB) module
Draws dynamic VWMA/HMA/SMA/EMA/DEMA/TEMA mid‑line with ATR‑scaled Fibonacci envelopes.
Every line can be used for stops, trailing, or multi‑target exits.
Separate LONG and SHORT sub‑modules
Each has its own SL plus three Take‑Profits (TP1‑TP3).
Per TP you set line, position‑percentage to close, and an optional trailing flag.
Executed TP/SLs deactivate themselves so they cannot refire.
Trailing behaviour
If Trail is checked, the selected line is re‑evaluated once per bar; the order is amended via strategy.exit().
3. Inputs Overview
Group Parameter Notes
Trade Settings Enable Long / Enable Short Master switches
Close on Opposite / Reverse Position How to react to a counter‑signal
Risk % Use TP / SL / BE + their % Traditional fixed‑distance management
Fibo Bands FIBO LEVELS ENABLE + visual style/length Turn indicator overlay on/off
FBB LONG SL / TP1‑TP3 Enable, Line, %, Trail Rules applied only while a long is open
FBB SHORT SL / TP1‑TP3 Enable, Line, %, Trail Rules applied only while a short is open
Line choices: Basis, 0.236, 0.382, 0.5, 0.618, 0.764, 1.0 – long rules use lower bands, short rules use upper bands automatically.
4. Algorithm Details
Position open
On the very first bar after entry, the script checks the direction and activates the corresponding LONG or SHORT module, deactivating the other.
Order management loop (every bar)
FBB Stop‑Loss: placed/updated at chosen band; if trailing, follows the new value.
TP1‑TP3: each active target updates its limit price to the selected band (or holds static if trailing is off).
The classic % block runs in parallel; its exits have priority because they call strategy.close_all().
Exit handling
When any strategy.exit() fires, the script reads exit_id and flips the *_Active flag so that order will not be recreated.
A Stop‑Loss (SL) also disables all remaining TPs for that leg.
5. Typical Use Cases
Scenario Suggested Setup
Scalping longs into VWAP‐reversion Enable LONG TP1 @ 0.382 (30 %), TP2 @ 0.618 (40 %), SL @ 0.236 + trailing
Fade shorts during news spikes Enable SHORT SL @ 1.0 (no trail) and SHORT TP1,2,3 on consecutive lowers with small size‑outs
Classic trend‑follow Use only classic % TP/SL block and disable FBB modules
6. Hints & Tips
Signal quality matters – this script manages exits, it does not generate entries.
Keep TV time zone in mind when picking start/end dates.
For portfolio‑style testing allocate smaller default_qty_value than 100 % or use strategy.percent_of_equity sizing.
You can combine FBB exits with fixed‑% ones for layered management.
7. Limitations / Safety
No pyramiding; the script holds max one position at a time.
All calculations are bar‑close; intra‑bar touches may differ from real‑time execution.
The indicator overlay is optional, so you can run visual‑clean tests by unchecking FIBO LEVELS ENABLE.
