Bitcoin (BTC) Scalp / Short-term Short IndicatorThe purpose of this scalping Indicator is to help identifying Sell signals for short term trades on Bitcoin (Spot, Features, etc.) .
This script is working with more indicators and everything is balanced by hard work on (back)testing.
Result for users is a simple signal to SELL.
You can use it as easy indicator in your graph or create alerts.
I have the best results on 1min graph, with leverage and stop-loss feature.
This is my own version of scalping Sell Script / Indicator, which is a combination of few indicators, for example RSI , BB and price levels (actual and average) and works on standard candles.
SELL signal paints above the candle and you can set your target / trailing / stop-loss in the settings and check how it works in Strategy Tester.
Settings of this Indicator:
Take Profit
Stop Loss
Trailing Stop Loss
Trailing Stop Loss Offset
Initial Capital
Base Currency
Order size
Pyramiding
Commissions
Slippage
Average price lines (colors and visibility)
Plot background
These signals can be often observed at the beginning of a strong move, but there is a significant probability that these price levels will be revisited at a later point in time again.
Therefore these are interesting levels to place limit orders.
A Sell signal is defined as the last up candle before a sequence of down candles.
In my trading settings I have more but small positions, one safety limit order (for price averaging = better entry - easier close in profit) and stop-loss.
Sometimes trailing-profit feature have very nice profits.
Settings depends on your own money-management and free capital.
Don't ignore UP / DOWN trend. For UP trend I have an Indicator too (check my profile).
In addition to the upper/lower limits of each line, also average value is marked as this is an interesting area for price interaction and better view.
PM me to obtain access, more informations or support.
NOTICE: By requesting access to this script you acknowledge that you have read and understood that this is for research purposes only and I am not responsible for any financial losses you may incur by using this script.
Search in scripts for "scalping"
Bitcoin (BTC) Scalp / Short-term Long IndicatorThe purpose of this scalping Indicator is to help identifying Buy signals for short term trades on Bitcoin (Spot, Features, etc.) .
This script is working with more indicators and everything is balanced by hard work on (back)testing.
Result for users is a simple signal to BUY .
You can use it as easy indicator in your graph or create alerts.
I have the best results on 1min graph, with leverage and stop-loss feature.
This is my own version of scalping Buy Script / Indicator, which is a combination of few indicators, for example RSI, BB and price levels (actual and average) and works on standard candles .
LONG signal paints below the candle and you can set your target / trailing / stop-loss in the settings and check how it works in Strategy Tester .
Settings of this Indicator:
Take Profit
Stop Loss
Trailing Stop Loss
Trailing Stop Loss Offset
Initial Capital
Base Currency
Order size
Pyramiding
Commissions
Slippage
Average price lines (colors and visibility)
Plot background
These signals can be often observed at the beginning of a strong move, but there is a significant probability that these price levels will be revisited at a later point in time again.
Therefore these are interesting levels to place limit orders.
A Buy signal is defined as the last down candle before a sequence of up candles.
In my trading settings I have more but small positions, one safety limit order (for price averaging = better entry - easier close in profit) and stop-loss.
Sometimes trailing-profit feature have very nice profits.
Settings depends on your own money-management and free capital.
In addition to the upper/lower limits of each line, also average value is marked as this is an interesting area for price interaction and better view.
PM me to obtain access, more informations or support.
NOTICE: By requesting access to this script you acknowledge that you have read and understood that this is for research purposes only and I am not responsible for any financial losses you may incur by using this script.
RSPRO StrategyStrategy for RSPRO indicator
Based on resistance/support and bollinger band fluctuations this indicator also has filter with x bars after RSI overbought/oversell zones from settings.
There are two types of entries and signals: early (usually before trend changes) and main (when trend started to reverse)
Fits for BTC and any altcoins. And any assets. Good for both scalping and position trading (depends on timeframe that you use)
Best use it with big timeframes: 45 and 90min, 2 and 4 hours for position trading.
For scalping 5-30min timeframes are good too.
In Script settings you can specify:
1) RSI period, 14 by default.
2) Show early entries (squares), enabled by defaults.
3) Show main entries (triangles), enabled by defaults.
4) Enable/Disable filter to show main entries only after RSI overbought/oversell regions
Disabled by defaults and RSI is 67 for upper zone and 33 for lower zone.
You can also specify how many bars back before current bar this filter must do. It's 10 by default, you can vary it up to 90.
+With customisable start/end date, take profit and stop-loss.
This is invite only script. PM me if you want to test it.
ck - CryptoSniper Longs Only (Strategy) v1Hey all,
This is a new script I have been working on and is in Beta testing stage.
It is best used for scalping 1/3/5/10/15 minutes.
Default settings are great for scalping, changing the “Period” will allow you to tweak for swing trades.
To use manually, you will get a Green triangle to alert you to be prepared to place an order.
This will happen 1 candle before the strategy paints an “open long” label on the chart.
BB+AO STRATto be used with AO indicator, based on forex strat --
www.forexstrategiesresources.com
works on 1/3/5/15/30 candles, buy signals are best when the black 3 fast ema crosses up through the red mid band
🔥 HYBRID SCALPING Bot - เข้าง่าย ออกแม่นA tool bot that helps analyze charts accurately, focusing on profits.
BB+AO STRATto be used with AO, based on forex strat --
www.forexstrategiesresources.com
works on 1/3/5/15/30 candles
MonkHey all!
I am back again with another script to scalp the ES! "Monk" is my newest scalping script that is the result of several weeks of R&D. This script was designed specifically for trading on 1-minute charts on a specific instrument.
As some of you will remember, I published several scalping scripts months ago that had very favorable profit factors. Of these scripts, the only one to truly stand the test of time was my "Little Scalper" script. In the creation of "Monk" I believe I have come up with another script that has the workings of a strategy that can remain profitable forever.
In this script I have employed the use of VWAP but in a very non-conventional way. I have also employed several other filters that will remain under wraps. Unlike my other scripts, "Monk" has a defined profit target AND a defined stop loss (Little Scalper has no stop loss). As always, this script DOES NOT repaint. If you would like access, please leave a comment. I will open up access to this script for the next 1-2 weeks for parties who are interested.
On another note, many users have messaged me about access to "Little Scalper". I am considering selling access to "Little Scalper" on a monthly basis for those who are interested.
Best,
-Ian
ADX Phantom SniperADX Phantom Sniper is a precision trend-following tool that combines three powerful forces:
1. ADX & DI Crossover Trigger – Detects strong directional moves only when the trend strength exceeds a defined threshold.
2. Multi-Timeframe (MTF) Confirmation – Executes on the current chart timeframe (e.g., M15) only if the higher timeframe (H1) confirms the same trend direction.
3. Force Index Momentum Filter – Filters entries based on bullish/bearish momentum to avoid weak signals.
Signal Logic:
BUY: EMA14 > EMA100, price above EMA14, +DI crosses above -DI, ADX > threshold, Stochastic crosses above signal line in the bullish zone (>50), MTF trend aligned, Force Index > 0 (optional).
SELL: EMA14 < EMA100, price below EMA14, -DI crosses above +DI, ADX > threshold, Stochastic crosses below signal line in the bearish zone (<50), MTF trend aligned, Force Index < 0 (optional).
Features:
Noise filtering with trend structure + higher timeframe alignment
On-chart BUY/SELL labels for easy signal spotting
Optional Force Index filter toggle
Adjustable ADX threshold, EMA lengths, Stochastic settings, and higher timeframe choice
Suitable for scalping and swing entries depending on timeframe
Recommended Setup:
Primary chart: M15
Higher timeframe confirmation: H1
Combine with your preferred risk management rules.
Disclaimer:
This tool is for educational purposes only and is not financial advice. Past performance does not guarantee future results. Use at your own risk.
EMATREND+HEIKENASHIENTRY"See the Market Before It Moves."
This is more than just an indicator—it’s your personal market scout. quietly scans the charts, dissecting price movement with surgical precision, and alerts you when opportunity is at its ripest.
Forget laggy signals and noise-filled charts. This tool thrives on clarity, showing you only what matters—those moments when momentum, volatility, and precision align for potentially explosive moves.
It’s built for speed and discipline:
Pinpoint Entry Zones – Be ready before the crowd notices the shift.
Intelligent Risk Guard – Integrated stop and target logic keeps you protected while letting profits run.
Higher Timeframe Insight – Trade in sync with the market’s dominant forces, even if you’re scalping on lower timeframes.
Hull Suite Strategy – 1% Risk, No SL/TP Catch trends early. Exit only on reversal.
This Hull Suite Strategy uses ultra-smooth HMA, EHMA, or THMA signals to ride big moves with minimal noise. Risk just 1% per trade, keep positions open until the market truly flips — no premature exits, no guesswork.
Hull Suite Strategy – 1% Risk (No SL/TP)
A clean trend-following system built on the Hull Moving Average and its powerful variations (HMA, EHMA, THMA) for fast, smooth, and low-lag signals. The strategy automatically flips between long and short positions based on trend reversals, using just 1% equity risk per trade.
Features:
Hull Variations – test HMA, EHMA, or THMA for your market.
Automatic Trend Switching – enter and exit only on confirmed reversals.
No Fixed SL/TP – ride trends as long as they last.
Optional Trend-Colored Candles – for quick, visual market direction.
Clear Bull/Bear Line Coloring – instantly see the trend bias.
Perfect for traders who prefer to let winners run and avoid fixed take profit limits, with a focus on pure trend action and minimal lag.
MarketTouch Pro – BankNifty & Nifty Toolkit🛍️ MarketTouch Pro – BankNifty & Nifty Toolkit
🎯 Perfect entries start with precision.
MarketTouch Pro is an advanced TradingView indicator designed for serious intraday traders in BankNifty and Nifty. This all-in-one toolkit combines dynamic pivot detection, VWAP/EMA analysis, candlestick pattern signals, and OI-based support/resistance – all optimized with custom touch detection, alerts, and time filters.
Whether you're scalping breakouts or catching reversals, MarketTouch Pro gives you clean levels, smart confirmations, and actionable alerts – before the move happens.
🔍 Key Features
🔸 VWAP + Dual EMA System
Track real-time momentum with optional VWAP and two customizable EMAs (ideal for 9/21 settings).
🔸 Dynamic Pivot System with Touch Logic
Auto-detect price interaction with Pivot, R1–R5, and S1–S5 zones. Includes breakout, reversal, and extreme touch-only filters.
🔸 OHLC + OI Level Lines (Manual & Auto)
Use previous session highs/lows or define your own manual support/resistance. Plus, add Open Interest levels as actionable zones.
🔸 Smart Candlestick Signals
Get alerts on classic price action patterns like:
Bullish/Bearish Engulfing
Hammer & Inverted Hammer
Bullish/Bearish Harami
🔸 Touch-Only Pattern Filtering
Avoid noisy signals – only see patterns when they happen near key levels.
🔸 Time Filtered Zones
Limit plots/signals to specific market hours or sessions for intraday clarity.
🔸 BankNifty & Nifty Auto Detection
No need to switch settings – script intelligently adapts to symbol.
🔸 Clean UI with Modular Toggles
Control every component: show/hide pivots, levels, patterns, and labels with ease.
🔸 In-Built Alerts Ready
Supports:
Pivot breakout / touch
OHLC interaction
OI level signals
Candlestick confirmations near levels
💼 Who is it for?
📉 Scalpers & Intraday Traders
💡 Price Action & Level-Based Traders
🧠 Algo Strategists building rule-based entries/exits
🛡️ Traders using VWAP / Pivots / OI confluence
📦 What's Included?
Setup guide + usage examples
Personal support for activation & onboarding
IMACD SniperIMACD Sniper
Description:
This strategy is designed for scalping with precision using the Impulse MACD and dynamic price ranges. It is especially optimized for traders with low capital and a fixed contract size, offering clear visual representation of Take Profit (TP) and Stop Loss (SL) targets for each trade.
Key Features:
Capital-efficient: Initial capital set at $1000, operating with a contract size of 0.1 (fully adjustable).
Clear Entry Logic: Based on Impulse MACD crossovers with distance filters, strong candles, and volume confirmation.
Dynamic TP/SL: Targets are calculated based on average candle range over the last N bars, with customizable multipliers.
Visual Clarity: Each trade displays a clean box showing both TP and SL prices as floating text without labels, reducing chart clutter.
Exit Conditions:
TP or SL is hit (whichever comes first).
MACD crosses in the opposite direction, triggering an early exit.
Inputs:
MACD Fast / Slow / Signal Length
MACD Minimum Distance
Zero Line Proximity Filter
EMA Length (default 20)
Dynamic Range Settings (TP/SL multipliers and lookback)
Volume Filter
How to Use:
Apply this strategy to assets with good volume and clear trends (e.g., XAUUSD, BTCUSD, NASDAQ). Best suited for timeframes between 5 and 15 minutes. Ensure spread and slippage are considered if trading manually.
Important Notes:
This script does not repaint.
All visual and capital parameters are configurable via input fields.
Backtest results may vary depending on the asset and timeframe. Always validate before going live.
VWAP-RSI Scalper FINAL v1Description
This script implements a robust, battle-tested intraday scalping strategy designed for prop firm challenges, funded trader programs, and serious futures scalpers.
It combines VWAP, RSI, EMA trend, and ATR-based risk management to capture high-probability mean reversion and momentum moves during the most liquid hours of the trading day.
Core Logic
RSI (Relative Strength Index):
Trades are triggered when the RSI is either oversold or overbought using a short lookback (default: 3). This ensures only the strongest intraday reversals or exhaustion moves are considered.
VWAP Filter:
Longs are only taken above VWAP, shorts only below VWAP, aligning trades with the session’s dominant bias.
EMA Filter:
Additional trend quality filter—longs require price above EMA, shorts below EMA.
Session Control:
Only trades between user-defined session hours (default: US cash session), eliminating overnight/illiquid action.
ATR-based Dynamic Stops & Targets:
Every trade uses a stop loss at 1x ATR and a take profit at 2x ATR for a positive risk/reward ratio.
Max Trades Per Day:
Prevents overtrading and controls risk exposure (default: 3).
Performance (Sample Backtest)
Profit Factor: 1.37+ (prop-firm quality)
Drawdown: <1% (very conservative risk)
Win Rate: 37–48% (RR > 1, so high edge)
Consistency: Smooth, steady equity curve over hundreds of trades.
Best For:
ES/NQ/CL/GC intraday traders
Prop firm evaluation challenges (Tradeify, Topstep, Apex, etc.)
Anyone needing robust, no-nonsense systematic edge for futures or indices.
How to Use & Tune
Apply to 3min, 5min, or 15min charts of liquid futures or indices.
Change parameters in the settings panel to suit your asset, volatility, or session hours.
Use “Strategy Tester” to validate P&L, win rate, and drawdown.
How to Optimize
Raise/lower RSI length or bands to make signals more/less frequent.
Adjust stop/target multiples for your preferred risk/reward profile.
Change session hours to match your broker or market.
Disclaimer
This is not financial advice. Use on a demo or sim account first. Results will vary by market, slippage, and execution speed. Past performance does not guarantee future results.
If you find this useful, please give it a like, follow for more strategies, and comment your results or questions!
Good luck and safe trading!
Aroon, Velocity & RMS Volume Strategy📊 Gabriel's Aroon, Velocity & RMS Volume Strategy
🔎 Description
Gabriel's Aroon, Velocity & RMS Volume Strategy is a sophisticated and adaptive trend-following system that combines directional bias detection using the Aroon indicator, momentum assessment via RMS-scaled volume velocity, and signal confirmation through a Super Smoother filter. This multi-layered strategy is optimized for dynamic position sizing and tailored risk management based on both time and volatility.
It includes:
Aroon Oscillator Logic for trend reversal detection.
Super Smoother as a trend filter.
RMS-Scaled Volume Velocity to capture powerful momentum shifts.
Adaptive ATR-based Stop Loss and Take Profit with customizable multipliers.
Dynamic risk & TP adjustment by hour, enabling time-sensitive strategy tuning.
Position sizing using volatility and price structure.
This strategy is well-suited for both intraday and swing trading on various assets such as stocks, futures, and crypto.
⚙️ Core Components & Logic
🔁 1. Signal Filters
Aroon Oscillator:
Aroon Up = (highestbars + length) / length * 100
Aroon Down = (lowestbars + length) / length * 100
A bullish crossover of Aroon Up over Aroon Down signals a long entry.
A bearish crossunder signals a short entry.
Super Smoother:
A zero-lag trend filter to confirm the overall trend.
Trade is only taken if price (src) is above the smoother (long) or below (short).
Velocity of RMS Volume:
A custom momentum oscillator based on root mean square of bandpassed volume.
Entry condition requires that momentum is increasing (velocity > velocity ).
🧠 2. Strategy Logic
Entry Conditions:
✅ Long: Aroon Up crosses above Aroon Down + Price above smoother + Volume momentum rising.
✅ Short: Aroon Down crosses above Aroon Up + Price below smoother + Volume momentum rising.
Exit Conditions:
📌 Stop Loss: Based on ATR * SL multiplier.
🎯 Take Profit: Based on ATR * TP multiplier.
📏 Position Size: Based on user-defined risk % and real-time stop distance.
⏰ 3. Time Filter & Dynamic Risk
The strategy allows filtering trades to specific hours (optional).
You can define:
Allowed hours (e.g., 10am, 11am, 12pm)
Custom risk % per hour
Custom TP multipliers per hour
This allows adapting to session volatility and optimizing for high-liquidity periods.
🔧 Inputs Overview
📁 Strategy Settings
Trade Direction: Long / Short / Both
User Risk : How much capital you're willing to risk per trade (default 100%)
🧮 Strategy Entry Settings
Src: Price source (default: hl2)
Super Smoother Length: Filter for trend confirmation
Velocity Length: Lookback period for RMS momentum
Aroon Length: Lookback for trend reversal detection
💣 Strategy TP/SL Settings
ATR Length: Volatility basis
SL Multiplier: How far the stop loss is placed from entry
TP Multiplier: How far the take profit is placed
🕒 Time Filter Settings
Enable/Disable trade hours
Select up to 3 active trading hours (by exchange time)
⏳ Hourly Risk & TP Settings
Set dynamic risk and TP multiplier per hour.
🧪 How to Use
Add the Script to a Chart (preferably on a trending timeframe like 15m, 1h, or 4h).
Choose your Trade Direction (Long/Short/Both).
Tune Aroon Length:
Shorter for faster signals (e.g., 14)
Longer for smoother entries (e.g., 23–50)
Adjust Velocity Length if momentum feels noisy or delayed.
Set ATR Multipliers for stop loss and take profit distance.
Activate Time Filters if you want to trade only specific hours.
Backtest and Optimize using TradingView's Strategy Tester to find your best parameters.
🧠 Best Practices
Use with volume-rich assets (e.g., SPY, BTC, AAPL) to get accurate momentum readings.
Combine with HTF trend filter or macro bias for added confirmation.
Use longer Super Smoother periods to reduce whipsaws in sideways markets.
Monitor the velocity area plot — teal = bullish momentum, red = bearish momentum.
Consider optimizing settings per asset using Sharpe, Sortino, or Omega metrics.
📈 Visual Components
🔸 Orange Line: Aroon Up (normalized)
🔹 Blue Line: Aroon Down (normalized)
🔴 Red Line: Super Smoother of Price
🌊 Teal/Red Area Plot: RMS-scaled volume momentum (Velocity)
🛠 Strategy Example Config (Scalping on 5m)
Super Smoother: len = 55
Velocity Length: 12
Aroon Length: 14
ATR Length: 3
SL Mult: 1.0
TP Mult: 2.5
Trade Hours: Enabled for 9am–12pm
Dynamic Hour Risk: e.g., Hour 9 = 5%, Hour 10 = 3%
✅ Summary
This strategy is a robust adaptive trading system for traders looking to combine trend direction (Aroon), price confirmation (Super Smoother), and volume strength (RMS velocity). With built-in support for time-based optimization, dynamic risk, and volatility-based exits, it’s ideal for those who want precise control over entries and exits in algorithmic trading.
Let me know if you'd like a multi-asset version, alerts, or a visual dashboard added.
Starter Edge StrategyStarter Edge Strategy
A clean and rule-based scalping strategy using ZLEMA, MACD and EMA filters.
Description
The Starter Edge Strategy is a structured technical trading system that combines trend-following and momentum indicators to identify potential entries on both the long and short side.
This script is intended for educational and research purposes only. It provides a clear visual framework for understanding basic momentum setups, with pre-defined risk/reward parameters and a focus on clarity of execution.
It is especially designed for beginner traders or small account investors who want to learn how to apply disciplined entries and exits with clear visual feedback. The strategy uses small position sizing and a low initial capital ($1000), making it more accessible to those just starting out.
All logic is fully transparent, with no repainting or subjective components.
Key Indicators
ZLEMA (Zero-Lag Exponential Moving Average)
MACD (based on ZLEMA)
EMA 100 for trend filtering
RSI for directional strength confirmation
Long Entry Conditions
Price above EMA 100
MACD crosses above the signal line
Histogram is rising
MACD and signal lines are not parallel
RSI > 50
Short Entry Conditions
Price below EMA 100
MACD crosses below the signal line
Histogram is falling
MACD and signal lines are not parallel
RSI < 50
Exit Logic
Take Profit: +2% from entry
Stop Loss: -1% from entry
Visual elements (optional): trade box, TP/SL lines, 2:1 risk/reward label
Strategy Settings
ZLEMA Length: 34
MACD: 12 / 26 / 9
EMA 100 Length: adjustable
RSI Period: 14
TP: 2% (default)
SL: 1% (default)
Position size: 0.1
Initial capital: $1000
Notes
This script is not financial advice.
Designed to help beginner traders study technical setups with clear visuals.
Backtesting and further validation are strongly recommended before live use.
Options Strategy V2.0📈 Options Strategy V2.0 – Intraday Reversal-Resilient Momentum System
Overview:
This strategy is designed specifically for intraday SPY, TSLA, MSFT, etc. options trading (0DTE or 1DTE), using high-probability signals derived from a confluence of technical indicators: EMA crossovers, RSI thresholds, ATR-based risk control, and volume spikes. The strategy aims to capture strong directional moves while avoiding overtrading, thanks to a built-in cooldown logic and optional time/session filters.
⚙️ Core Concept
The strategy executes trades only in the direction of the prevailing trend, determined by short- and long-term Exponential Moving Averages (EMA). Entry signals are generated when the Relative Strength Index (RSI) confirms momentum in the direction of the trend, and volume spikes suggest institutional activity.
To increase adaptability and user control, it includes a highly customizable parameter set for both long and short entries independently.
📌 Key Features
✅ Trend-Following Logic
Long entries are only allowed when EMA(short) > EMA(long)
Short entries are only allowed when EMA(short) < EMA(long)
✅ RSI Confirmation
Long: Requires RSI crossover above a configurable threshold
Short: Requires RSI crossunder below a configurable threshold
Optional rejection filters: Entry blocked above/below specific RSI extremes
✅ Volume Spike Filter
Confirms institutional participation by comparing current volume to an average multiplied by a user-defined factor.
✅ ATR-Based Risk Management
Both Stop Loss (SL) and Take Profit (TP) are dynamically calculated using ATR × a multiplier.
TP/SL ratio is fully configurable.
✅ Cooldown Control
After every trade, the system waits for a set number of bars before allowing new entries.
This prevents overtrading and increases signal quality.
Optionally, cooldown is ignored for reversal trades, ensuring the system can react immediately to a confirmed trend change.
✅ Candle Body Filter (Noise Control)
Avoids trades on candles with too small bodies relative to wicks (often noise or indecision candles).
✅ VWAP Confirmation (Optional)
Ensures price is trading above VWAP for long entries, or below for short entries.
✅ Time & Session Filters
Trades only during regular market hours (09:30–16:00 EST).
No-trade zone (e.g., 14:15–15:45 EST) to avoid low-liquidity traps or late-day whipsaws.
✅ End-of-Day Auto Close
All open positions are force-closed at 15:55 EST, protecting against overnight risk (especially relevant for 0DTE options).
📊 Visual Aids
EMA plots show trend direction
VWAP line provides real-time mean-reversion context
Stop Loss and Take Profit lines appear dynamically with each trade
Alerts notify of entry signals and exit triggers
🔧 Customization Panel
Nearly every element of the strategy can be tailored:
EMA lengths (short and long, for both sides)
RSI thresholds and length
ATR length, SL multiplier, and TP/SL ratio
Volume spike sensitivity
Minimum EMA distance filter
Candle body ratio filter
Session restrictions
Cooldown logic (duration + reversal exception)
This makes the strategy extremely versatile, allowing both conservative and aggressive configurations depending on the trader’s profile and the market context.
📌 Example Use Case: SPY Options (0DTE or 1DTE)
This system was designed and tested specifically for SPY and other intraday options trading, where:
Delta is around 0.50 or higher
Trades are short-lived (often 1–5 candles)
You aim to trade 1–3 signals per day, filtering out weak entries
🚫 Important Notes
It is not a scalping strategy; it relies on confirmed breakouts with trend support
No pyramiding or re-entries without cooldown to preserve risk integrity
Should be used with real-time alerts and manual broker execution
📈 Alerts Included
📈 Long Entry Signal
📉 Short Entry Signal
⚠️ Auto-closed all positions at 15:55 EST
✅ Proven Settings – Real Trades + Backtest Results
The current version of the strategy includes the optimal settings I’ve arrived at through extensive backtesting, as well as 3 months of real trading with consistent profitability. These results reflect real-world execution under live market conditions using 0DTE SPY options, with disciplined trade management and risk control.
🧠 Final Thoughts
Options Strategy V2.0 is a robust, highly tunable intraday strategy that blends momentum, trend-following, and volume confirmation. It is ideal for disciplined traders focused on SPY or other 0DTE/1DTE options, and it includes guardrails to reduce false signals and improve execution timing.
Perfect for those who seek precision, flexibility, and risk-defined setups—not blind automation.
Game Theory Trading StrategyGame Theory Trading Strategy: Explanation and Working Logic
This Pine Script (version 5) code implements a trading strategy named "Game Theory Trading Strategy" in TradingView. Unlike the previous indicator, this is a full-fledged strategy with automated entry/exit rules, risk management, and backtesting capabilities. It uses Game Theory principles to analyze market behavior, focusing on herd behavior, institutional flows, liquidity traps, and Nash equilibrium to generate buy (long) and sell (short) signals. Below, I'll explain the strategy's purpose, working logic, key components, and usage tips in detail.
1. General Description
Purpose: The strategy identifies high-probability trading opportunities by combining Game Theory concepts (herd behavior, contrarian signals, Nash equilibrium) with technical analysis (RSI, volume, momentum). It aims to exploit market inefficiencies caused by retail herd behavior, institutional flows, and liquidity traps. The strategy is designed for automated trading with defined risk management (stop-loss/take-profit) and position sizing based on market conditions.
Key Features:
Herd Behavior Detection: Identifies retail panic buying/selling using RSI and volume spikes.
Liquidity Traps: Detects stop-loss hunting zones where price breaks recent highs/lows but reverses.
Institutional Flow Analysis: Tracks high-volume institutional activity via Accumulation/Distribution and volume spikes.
Nash Equilibrium: Uses statistical price bands to assess whether the market is in equilibrium or deviated (overbought/oversold).
Risk Management: Configurable stop-loss (SL) and take-profit (TP) percentages, dynamic position sizing based on Game Theory (minimax principle).
Visualization: Displays Nash bands, signals, background colors, and two tables (Game Theory status and backtest results).
Backtesting: Tracks performance metrics like win rate, profit factor, max drawdown, and Sharpe ratio.
Strategy Settings:
Initial capital: $10,000.
Pyramiding: Up to 3 positions.
Position size: 10% of equity (default_qty_value=10).
Configurable inputs for RSI, volume, liquidity, institutional flow, Nash equilibrium, and risk management.
Warning: This is a strategy, not just an indicator. It executes trades automatically in TradingView's Strategy Tester. Always backtest thoroughly and use proper risk management before live trading.
2. Working Logic (Step by Step)
The strategy processes each bar (candle) to generate signals, manage positions, and update performance metrics. Here's how it works:
a. Input Parameters
The inputs are grouped for clarity:
Herd Behavior (🐑):
RSI Period (14): For overbought/oversold detection.
Volume MA Period (20): To calculate average volume for spike detection.
Herd Threshold (2.0): Volume multiplier for detecting herd activity.
Liquidity Analysis (💧):
Liquidity Lookback (50): Bars to check for recent highs/lows.
Liquidity Sensitivity (1.5): Volume multiplier for trap detection.
Institutional Flow (🏦):
Institutional Volume Multiplier (2.5): For detecting large volume spikes.
Institutional MA Period (21): For Accumulation/Distribution smoothing.
Nash Equilibrium (⚖️):
Nash Period (100): For calculating price mean and standard deviation.
Nash Deviation (0.02): Multiplier for equilibrium bands.
Risk Management (🛡️):
Use Stop-Loss (true): Enables SL at 2% below/above entry price.
Use Take-Profit (true): Enables TP at 5% above/below entry price.
b. Herd Behavior Detection
RSI (14): Checks for extreme conditions:
Overbought: RSI > 70 (potential herd buying).
Oversold: RSI < 30 (potential herd selling).
Volume Spike: Volume > SMA(20) x 2.0 (herd_threshold).
Momentum: Price change over 10 bars (close - close ) compared to its SMA(20).
Herd Signals:
Herd Buying: RSI > 70 + volume spike + positive momentum = Retail buying frenzy (red background).
Herd Selling: RSI < 30 + volume spike + negative momentum = Retail selling panic (green background).
c. Liquidity Trap Detection
Recent Highs/Lows: Calculated over 50 bars (liquidity_lookback).
Psychological Levels: Nearest round numbers (e.g., $100, $110) as potential stop-loss zones.
Trap Conditions:
Up Trap: Price breaks recent high, closes below it, with a volume spike (volume > SMA x 1.5).
Down Trap: Price breaks recent low, closes above it, with a volume spike.
Visualization: Traps are marked with small red/green crosses above/below bars.
d. Institutional Flow Analysis
Volume Check: Volume > SMA(20) x 2.5 (inst_volume_mult) = Institutional activity.
Accumulation/Distribution (AD):
Formula: ((close - low) - (high - close)) / (high - low) * volume, cumulated over time.
Smoothed with SMA(21) (inst_ma_length).
Accumulation: AD > MA + high volume = Institutions buying.
Distribution: AD < MA + high volume = Institutions selling.
Smart Money Index: (close - open) / (high - low) * volume, smoothed with SMA(20). Positive = Smart money buying.
e. Nash Equilibrium
Calculation:
Price mean: SMA(100) (nash_period).
Standard deviation: stdev(100).
Upper Nash: Mean + StdDev x 0.02 (nash_deviation).
Lower Nash: Mean - StdDev x 0.02.
Conditions:
Near Equilibrium: Price between upper and lower Nash bands (stable market).
Above Nash: Price > upper band (overbought, sell potential).
Below Nash: Price < lower band (oversold, buy potential).
Visualization: Orange line (mean), red/green lines (upper/lower bands).
f. Game Theory Signals
The strategy generates three types of signals, combined into long/short triggers:
Contrarian Signals:
Buy: Herd selling + (accumulation or down trap) = Go against retail panic.
Sell: Herd buying + (distribution or up trap).
Momentum Signals:
Buy: Below Nash + positive smart money + no herd buying.
Sell: Above Nash + negative smart money + no herd selling.
Nash Reversion Signals:
Buy: Below Nash + rising close (close > close ) + volume > MA.
Sell: Above Nash + falling close + volume > MA.
Final Signals:
Long Signal: Contrarian buy OR momentum buy OR Nash reversion buy.
Short Signal: Contrarian sell OR momentum sell OR Nash reversion sell.
g. Position Management
Position Sizing (Minimax Principle):
Default: 1.0 (10% of equity).
In Nash equilibrium: Reduced to 0.5 (conservative).
During institutional volume: Increased to 1.5 (aggressive).
Entries:
Long: If long_signal is true and no existing long position (strategy.position_size <= 0).
Short: If short_signal is true and no existing short position (strategy.position_size >= 0).
Exits:
Stop-Loss: If use_sl=true, set at 2% below/above entry price.
Take-Profit: If use_tp=true, set at 5% above/below entry price.
Pyramiding: Up to 3 concurrent positions allowed.
h. Visualization
Nash Bands: Orange (mean), red (upper), green (lower).
Background Colors:
Herd buying: Red (90% transparency).
Herd selling: Green.
Institutional volume: Blue.
Signals:
Contrarian buy/sell: Green/red triangles below/above bars.
Liquidity traps: Red/green crosses above/below bars.
Tables:
Game Theory Table (Top-Right):
Herd Behavior: Buying frenzy, selling panic, or normal.
Institutional Flow: Accumulation, distribution, or neutral.
Nash Equilibrium: In equilibrium, above, or below.
Liquidity Status: Trap detected or safe.
Position Suggestion: Long (green), Short (red), or Wait (gray).
Backtest Table (Bottom-Right):
Total Trades: Number of closed trades.
Win Rate: Percentage of winning trades.
Net Profit/Loss: In USD, colored green/red.
Profit Factor: Gross profit / gross loss.
Max Drawdown: Peak-to-trough equity drop (%).
Win/Loss Trades: Number of winning/losing trades.
Risk/Reward Ratio: Simplified Sharpe ratio (returns / drawdown).
Avg Win/Loss Ratio: Average win per trade / average loss per trade.
Last Update: Current time.
i. Backtesting Metrics
Tracks:
Total trades, winning/losing trades.
Win rate (%).
Net profit ($).
Profit factor (gross profit / gross loss).
Max drawdown (%).
Simplified Sharpe ratio (returns / drawdown).
Average win/loss ratio.
Updates metrics on each closed trade.
Displays a label on the last bar with backtest period, total trades, win rate, and net profit.
j. Alerts
No explicit alertconditions defined, but you can add them for long_signal and short_signal (e.g., alertcondition(long_signal, "GT Long Entry", "Long Signal Detected!")).
Use TradingView's alert system with Strategy Tester outputs.
3. Usage Tips
Timeframe: Best for H1-D1 timeframes. Shorter frames (M1-M15) may produce noisy signals.
Settings:
Risk Management: Adjust sl_percent (e.g., 1% for volatile markets) and tp_percent (e.g., 3% for scalping).
Herd Threshold: Increase to 2.5 for stricter herd detection in choppy markets.
Liquidity Lookback: Reduce to 20 for faster markets (e.g., crypto).
Nash Period: Increase to 200 for longer-term analysis.
Backtesting:
Use TradingView's Strategy Tester to evaluate performance.
Check win rate (>50%), profit factor (>1.5), and max drawdown (<20%) for viability.
Test on different assets/timeframes to ensure robustness.
Live Trading:
Start with a demo account.
Combine with other indicators (e.g., EMAs, support/resistance) for confirmation.
Monitor liquidity traps and institutional flow for context.
Risk Management:
Always use SL/TP to limit losses.
Adjust position_size for risk tolerance (e.g., 5% of equity for conservative trading).
Avoid over-leveraging (pyramiding=3 can amplify risk).
Troubleshooting:
If no trades are executed, check signal conditions (e.g., lower herd_threshold or liquidity_sensitivity).
Ensure sufficient historical data for Nash and liquidity calculations.
If tables overlap, adjust position.top_right/bottom_right coordinates.
4. Key Differences from the Previous Indicator
Indicator vs. Strategy: The previous code was an indicator (VP + Game Theory Integrated Strategy) focused on visualization and alerts. This is a strategy with automated entries/exits and backtesting.
Volume Profile: Absent in this strategy, making it lighter but less focused on high-volume zones.
Wick Analysis: Not included here, unlike the previous indicator's heavy reliance on wick patterns.
Backtesting: This strategy includes detailed performance metrics and a backtest table, absent in the indicator.
Simpler Signals: Focuses on Game Theory signals (contrarian, momentum, Nash reversion) without the "Power/Ultra Power" hierarchy.
Risk Management: Explicit SL/TP and dynamic position sizing, not present in the indicator.
5. Conclusion
The "Game Theory Trading Strategy" is a sophisticated system leveraging herd behavior, institutional flows, liquidity traps, and Nash equilibrium to trade market inefficiencies. It’s designed for traders who understand Game Theory principles and want automated execution with robust risk management. However, it requires thorough backtesting and parameter optimization for specific markets (e.g., forex, crypto, stocks). The backtest table and visual aids make it easy to monitor performance, but always combine with other analysis tools and proper capital management.
If you need help with backtesting, adding alerts, or optimizing parameters, let me know!
0-5 Box Strategy Tester v4🟩 0-5 Box Strategy Tester v4 — Explained Simply
This script is a modular hourly breakout strategy designed to help traders test and trade breakouts (or pullbacks) from the first 5-minute range of any selected hour. It supports both long and short positions and is optimized for scalping or intraday strategies.
🔑 Core Strategy Logic
Box Formation: At the start of every hour, the script tracks the high and low of the first 5 minutes (e.g., from 9:00 to 9:04).
Trade Trigger: Once price breaks out above or below this 5-minute box (either instantly or after a pullback), it can trigger a long or short entry depending on your settings.
Entry Type: Supports two main styles:
Breakout entry: Buy/sell as soon as price breaks the box.
Pullback re-entry: Wait for price to break the box, pull back, then re-enter on a limit order.
🧪 Smart Entry Filters (Optional but Powerful)
You can refine your trades using several filters:
✅ Previous Hour Direction – Only trade in the direction of the last hour’s candle (bullish/bearish).
🔄 Reversal Filter – Only trade against the previous hour’s direction.
💧 Liquidity Sweep – Require the previous hour’s high or low to be swept first (liquidity-based entry).
🔁 Q2 Confirmation (15–30 min logic) – Confirm price action in the second quarter of the hour (like retests or wick-based logic).
🕒 Max Entry Time – Prevent late trades within the hour (e.g., no entries after minute 45).
📦 Max Range % – Avoid trading during overly volatile hours by filtering out wide boxes.
🕘 Flexible Hour Selection
You can choose to:
Trade all hours
Or select specific hours manually (like 4AM, 9AM, etc.)
📉 Risk & Position Sizing Options
Supports stop-loss and take-profit by:
Points
Percentage
Risk:Reward Ratio
Choose fixed contract size or auto-size based on dollar risk.
📊 Built-In Analytics
The strategy tracks and displays:
Win rate
PnL (total, by hour, by day)
Average drawdown
Risk metrics (Expectancy, Profit Factor, Payoff Ratio)
Hour-by-hour stats (how each hour performs historically)
Day-of-week performance
Visual tables on chart for easy analysis
🧠 Use Cases
This strategy is ideal for:
Futures traders (like NQ/ES/GC) who trade specific sessions (e.g., NY open, London)
Scalpers looking for tight breakouts or pullbacks
Systematic traders backtesting precision setups
Traders using confluence like session breaks, liquidity sweeps, and inside-hour confirmations
NAS100 and gold Smart Scalping Strategy PRO [Enhanced v2]It works on both Gold, Platinum and USTEC100. Profit factor between 6-9. Great Profit making with risk management
Parallax Momentum MNQ Strategy# 📈 Parallax Momentum MNQ Strategy
## Overview
The Parallax Momentum MNQ Strategy is a sophisticated support/resistance breakout system specifically designed for Micro Nasdaq futures (MNQ) trading (also works on minis). This strategy combines dynamic level detection with momentum confirmation to identify high-probability entry opportunities while maintaining strict risk management protocols.
## 🎯 Key Features
### Core Strategy Logic
- **Dynamic Support/Resistance Detection**: Automatically identifies key levels using configurable lookback periods
- **Momentum Confirmation**: Volume-based filtering ensures trades align with market momentum
- **ATR-Based Risk Management**: Adaptive stop losses and take profits based on market volatility
- **Dual Entry System**: Both long and short opportunities with limit order execution
### Risk Management
- **ATR-Adaptive Stops**: Stop losses and take profits automatically adjust to market volatility
- **Reward-to-Risk Ratios**: Configurable R:R ratios with default 2:1 minimum
- **Maximum Loss Protection**: Optional daily loss limits to prevent overtrading
- **Session Time Filtering**: Trade only during specified market hours
### Strategy Modes
- **Conservative Mode**: 0.8x risk multiplier for cautious trading
- **Balanced Mode**: Standard 1.0x risk multiplier (default)
- **Aggressive Mode**: 1.2x risk multiplier for active trading
## 📊 Visual Features
### Dashboard Display
- Real-time strategy status and performance metrics
- Current support/resistance levels and ATR values
- Live risk-to-reward ratios for potential trades
- Win rate, profit factor, and drawdown statistics
- Adjustable dashboard size and positioning
### Chart Indicators
- Support and resistance lines with labels
- ATR-based levels (+/-1 ATR and +/-2 ATR)
- Dynamic visual updates as levels change
- Configurable line extensions and styling
## ⚙️ Configuration Options
### Entry Filters
- **Volume Filter**: Optional volume confirmation above SMA
- **Session Time Filter**: 12-hour format time restrictions
- **ATR vs Fixed Stops**: Choose between adaptive or fixed tick-based exits
### Risk Controls
- **ATR Period**: Default 14-period ATR calculation
- **Stop Loss Multiplier**: ATR-based stop distance (default 1.5x)
- **Take Profit Multiplier**: ATR-based target distance (default 1.5x)
- **Secondary Take Profit**: Optional TP2 with position scaling
## 📋 How It Works
### Entry Conditions
**Long Trades**: Triggered when price closes above support buffer but low touches support level, with volume and session confirmation
**Short Trades**: Triggered when price closes below resistance buffer but high touches resistance level, with volume and session confirmation
### Exit Strategy
- **Primary Take Profit**: ATR-based target with 2:1 R:R minimum
- **Stop Loss**: ATR-based protective stop
- **Optional TP2**: Extended target for partial profit taking
- **One Trade at a Time**: No overlapping positions
## 🎛️ Default Settings
- **Lookback Period**: 20 bars for support/resistance detection
- **ATR Period**: 14 bars for volatility calculation
- **Stop Loss**: 1.5x ATR from entry
- **Take Profit**: 1.5x ATR with 2:1 reward-to-risk ratio
- **Session**: 7:30 AM - 2:00 PM (configurable)
## ⚠️ Important Notes
### Risk Disclaimer
- This strategy is for educational and informational purposes only
- Past performance does not guarantee future results
- Always use proper position sizing and risk management
- Test thoroughly on historical data before live trading
- Consider market conditions and volatility when using
### Best Practices
- Backtest on sufficient historical data
- Start with conservative mode for new users
- Monitor performance regularly and adjust parameters as needed
- Use appropriate position sizing for your account
- Consider broker commissions and slippage in live trading
## 🔧 Customization
The strategy offers extensive customization options including:
- Adjustable time sessions with AM/PM format
- Configurable ATR and risk parameters
- Optional maximum daily loss limits
- Dashboard size and position controls
- Visual element toggles and styling
## 📈 Ideal For
- MNQ (Micro Nasdaq) futures traders
- Intraday momentum strategies
- Traders seeking systematic entry/exit rules
- Risk-conscious traders wanting automated stops
- Both beginner and experienced algorithmic traders
---
**Version**: Pine Script v5 Compatible
**Timeframe**: Works on multiple timeframes (test on 1m, 3m, 5m, 15m)
**Market**: Optimized for MNQ but adaptable to other instruments
**Strategy Type**: Trend following with momentum confirmation
BTC 1m Chop Top/Bottom Reversal (Stable Entries)Strategy Description: BTC 5m Chop Top/Bottom Reversal (Stable Entries)
This strategy is engineered to capture precise reversal points during Bitcoin’s choppy or sideways price action on the 5-minute timeframe. It identifies short-term tops and bottoms using a confluence of volatility bands, momentum indicators, and price structure, optimized for high-probability scalping and intraday reversals.
Core Logic:
Volatility Filter: Uses an EMA with ATR bands to define overextended price zones.
Momentum Divergence: Confirms reversals using RSI and MACD histogram shifts.
Price Action Filter: Requires candle confirmation in the direction of the trade.
Locked Signal Logic: Prevents repaints and disappearing trades by confirming signals only once per bar.
Trade Parameters:
Short Entry: Above upper band + overbought RSI + weakening MACD + bearish candle
Long Entry: Below lower band + oversold RSI + strengthening MACD + bullish candle
Take Profit: ±0.75%
Stop Loss: ±0.4%
This setup is tuned for traders using tight risk control and leverage, where execution precision and minimal drawdown tolerance are critical.
Wolf ScalperWolf Scalper Strategy
An ultra-aggressive, high-frequency scalping system rigorously back-tested on major crypto pairs (BTC/USD, ETH/USD, etc.). It runs on a 30-second chart, with trend confirmation coming from 5-minute and 15-minute Super-trend indicators. Entries occur when the 30-second RSI(7) crosses 50 in the direction of the prevailing trend; exits use ATR-based stops (1.7×ATR(5)), profit targets (5.5×ATR(5)), and an optional trailing stop that kicks in at 10% of the target and moves in 10% increments. The strategy allows up to three concurrent positions (20% equity each) and is built for maximum intraday volatility capture in crypto markets.
TPC Strategy XAUUSD - M5 with Fixed SL/TPThis script implements a trend-following strategy for XAUUSD on the 5-minute chart, using 200 EMA and 21 EMA to filter direction. Entries are triggered based on RSI, MACD crossovers, and price action alignment. It includes fixed Stop Loss (15 pips) and Take Profit (22.5 pips) with visual SL/TP lines, BUY/SELL labels, and alert conditions for automated notifications. Designed for intraday scalping and low-risk entries during trending conditions.