FULLY FUNCTIONAL INDICATOR TESTER🎯 Purpose:
A comprehensive strategy testing framework designed to evaluate custom indicators and trading signals with professional-grade risk management and signal detection capabilities.
✨ Key Features:
Multiple Signal Detection Methods - Value changes, crossovers, threshold-based triggers
Advanced Confluence Filtering - Multi-source confirmation system with lookback periods
Professional Risk Management - Static TP/SL, break-even functionality, position sizing
Custom Exit Signals - Independent exit logic for refined strategy testing
Visual Feedback System - Clear signal plots and real-time status monitoring
Flexible Input Sources - Connect any custom indicator or built-in study
🔧 How to Use:
Connect your indicator outputs to the Entry/Exit source inputs
Select appropriate signal detection method for your indicator type
Configure risk parameters (TP/SL/Break-even)
Enable confluence filters if needed for additional confirmation
Backtest and analyze results with built-in performance metrics
📈 Signal Detection Options:
Value Change: Detects when indicator values change
Crossover Above/Below: Traditional crossover signals
Threshold Triggers: Value-based entry/exit levels
⚙️ Technical Specifications:
Compatible with Pine Script v6
Overlay strategy with position tracking
Real-time performance monitoring table
Configurable margin requirements
Full backtesting compatibility
⚠️ Important Notes:
This is a testing framework - not financial advice
Always validate signals in demo environment first
Past performance does not guarantee future results
Use proper risk management in live trading
🔄 Updates:
Enhanced signal detection algorithms
Improved confluence logic
Added break-even functionality
Visual debugging tools
Perfect for traders and developers looking to systematically tes
Jalur dan Saluran
Pivot Squeeze StrategyAn extension of my Pivot % Indicator.
How It Works:
The indicator calculates the percentage distance between your current price and the last pivot high/low points. When this distance shrinks below your squeeze threshold (default 5%), you're in compression mode. When it explodes beyond the squeeze threshold, that's your signal to jump in.
Key Features:
Visual Histogram: Green/red bars show if you're above/below pivot levels, orange means you're in the squeeze zone
Smart Exits: Optional breakout cross-under exits (long trades exit when crossing back under the upper breakout line, shorts exit when crossing back above the lower line)
Risk Management: Built-in ATR-based stop losses and take profits
Multiple Trade Modes: Go long-only, short-only, or both directions
Date Range: Backtest the strategy within different timeframes
Looks promising for more volatile tickers or crypto
Trend Following with Mean Reversion (Indicator with Alerts)This script implements a combined trend-following and mean-reversion strategy for educational and analytical purposes. It uses a configurable Exponential Moving Average (EMA) to determine market trend direction, and the Relative Strength Index (RSI) to identify potential entry conditions aligned with oversold or overbought states.
Key features include customizable take profit and stop loss levels for both long and short trades, as well as flexible filters for trading hours and days of the week. These restrictions help users explore strategy behavior under various market conditions and timeframes.
The strategy does not make any claims regarding profitability, win rates, or future performance. It is intended to support informed experimentation, backtesting, and learning within the TradingView platform.
Always conduct your own research and consult a financial advisor before making trading decisions.
Message me if you would like code only to improve it and re-share.
Peak TradePeakTrade AI Strategy
The PeakTrade AI strategy is an advanced crypto trading system, specifically optimized for the 15-minute BTC/USDT.P chart. It is not recommended for use on other timeframes or different assets.
One of the key components of the strategy is Alpha Trend, which uses a custom calculation based on ATR (Average True Range) to measure market volatility. It also incorporates momentum indicators like RSI (Relative Strength Index) and MFI (Money Flow Index) to determine the direction of the trend. This allows for a dynamic and real-time identification of trend strength and direction.
While the commonly used ATR multiplier is 3.0, PeakTrade AI internally determines the most suitable value for its strategy. In addition, it uses adaptive threshold levels for RSI and MFI to calculate trend levels that continuously adjust to changing market conditions. This dynamic adjustment significantly improves signal accuracy.
The strategy also integrates the Zero Lag Hull Moving Average (HMA) to track market momentum and direction with minimal delay. Compared to traditional moving averages, HMA responds faster to price action, offering an edge in identifying precise entry and exit points.
Specifically, the strategy analyzes the interaction between 46-period and 200-period HMAs, using mathematical momentum calculations to determine optimal entry and exit conditions.
Originality and Confirmation System
This strategy is not a simple combination of open-source indicators. It introduces a unique confirmation mechanism by analyzing USDT Dominance (USDT.D) data across multiple timeframes (1, 3, 5, 15, and 240 minutes). This allows it to assess market sentiment and risk appetite, effectively filtering out trades during unfavorable conditions.
This filtering system improves the signal confirmation rate by up to 20%.
Additionally, moving average filters and volatility-based confirmation mechanisms are used to reduce false signals and enhance the overall reliability of trade entries.
Default Backtest Settings:
Date Range: 01.01.2025 – 01.07.2025
Initial Capital: 1000 USDT
Leverage: 10x
Commission: 0.075%
Slippage: 0.1%
Average Risk/Reward Ratio: 2.917
Timeframe: Only for 15-minute charts
Optimized TP/SL Values for Risk Management:
Take-Profit (TP): 6.6%
Stop-Loss (SL): 2.0%
These values have been specifically optimized to balance profitability and risk, and have shown the best performance within the defined backtest period.
Gold Trend Scalper [Strategy]The Gold Trend Scalper (GTS Pro) is a trend-following momentum-based strategy specifically optimized for trading XAUUSD (Gold) on the 1-minute timeframe. It combines volatility filters, breakout logic, trend confirmation, and risk management to identify high-probability entry points with dynamic exits.
Supertrend Long-Only StrategySupertrend Long Only Strategy on 75 min charts, Going long when the trend is Green and Exiting position when the trend turns red. On Closing basis of the candle
Gold Trend Scalper [Strategy]The Gold Trend Scalper (GTS Pro) is a trend-following momentum-based strategy specifically optimized for trading XAUUSD (Gold) on the 1-minute timeframe. It combines volatility filters, breakout logic, trend confirmation, and risk management to identify high-probability entry points with dynamic exits.
Volatility Flow X | Dual Trend Strategy [VWMA+SMA+ADX]📌 Strategy Title
Volatility Flow X | Dual Trend Strategy
🧾 Description
🚀 Strategy Overview
Volatility Flow X is a dual-directional trading strategy that combines Volume-Weighted MA (VWMA) for momentum, Simple MA (SMA) for trend direction, ADX for trend strength filtering, and ATR-based volatility cloud for dynamic support/resistance zones.
It is designed specifically for high-volatility assets like BTC/USD on intraday timeframes such as 15 min, 30 min, and 1 hour — offering both breakout and trend-following opportunities.
🔬 Technical Components and Sources
1. VWMA (Volume-Weighted Moving Average)
Captures volume-weighted momentum shifts.
📚 Kirkpatrick & Dahlquist (2010) — “Technical Analysis”
2. SMA (Simple Moving Average)
Used as a baseline trend direction validator.
📚 Ernie Chan — “Algorithmic Trading” (2013)
3. ADX (Average Directional Index)
Filters out low-conviction signals based on trend strength.
📚 J. Welles Wilder (1978) — ADX in directional movement systems
4. ATR Cloud (Volatility Envelope)
Creates upper and lower dynamic bands using ATR to visualize trend pressure.
📚 Zunino et al. (2017) — Fractal volatility behavior in Bitcoin markets
🧠 Key Features
✅ 3 configurable Long signal modes
✅ 3 configurable Short signal modes
✅ Manually switchable signals for flexibility
✅ Auto-calculated TP/SL using ATR and risk/reward ratio
✅ ADX filter to avoid choppy trends
✅ Visual cloud overlay for support/resistance
✅ Suitable for scalping and short-term swing trading
⚙️ Recommended Settings (for BTC/USDT – 30min)
VWMA Length = 18
SMA Length = 50
ATR Length = 14, Multiplier = 2.5
Risk-Reward Ratio = 1.5
ADX Length = 14, Threshold = 18, Lookback = 4
⚠️ Disclaimer
This strategy is not financial advice. Please backtest and understand the risks before using it in live markets.
XForex Strategy by Wealthemoji🧠 XForex Strategy – Precision Trend Breakout System
XForex Strategy is a trend-following breakout system designed to capture high-probability directional moves with precision. It uses a volatility-adjusted dynamic engine to detect real-time trend shifts and plots Buy/Sell labels directly on the chart, along with a trailing reference line for potential stop-loss management.
The strategy highlights yellow candles in key consolidation zones after a signal, helping traders anticipate continuation or invalidation. All settings are internally fixed for consistency and protection of proprietary logic. Suitable for intraday, swing, and positional trading across Forex, commodities, and indices.
The XForex Strategy is a robust, visually intuitive trading tool designed to help traders capture high-probability breakout trends with clarity and discipline. This indicator leverages a proprietary trend recognition model that dynamically adapts to market volatility and price behavior, filtering out market noise and generating clean, decisive entries.
Rather than relying on a static moving average crossover or traditional trend filters, the strategy continuously re-evaluates market structure based on a combination of price momentum and volatility expansion. When the price confirms a directional shift, clear BUY and SELL labels are plotted directly on the chart — ensuring timely entries without lag.
What sets this script apart is its adaptive trailing structure, which acts as a dynamic stop-level guidance tool. This not only assists in entry decisions, but also provides a framework for risk management — particularly useful for trend-followers and breakout traders.
🔔 Key Features:
• Clear Buy & Sell Signals: No ambiguity — the script provides labels with actionable trade directions.
• Volatility-Aware Trend Engine: Reduces whipsaws during sideways markets while capturing strong moves.
• Auto-Trail Stop Visuals: A built-in trailing system that adapts to market structure — ideal for managing exits.
• Yellow Candle Alerting: Special candle coloring logic highlights key follow-through zones after signal generation.
• Works Across Assets: Compatible with Forex, Indices, Commodities (like XAUUSD), and Crypto.
• Hardcoded Inputs: Strategy settings are locked for consistency and standardization.
📈 How to Use:
• Add the script to any chart and wait for a Buy or Sell label to appear.
• Use the trailing signal line as a reference for stop-loss levels.
• Yellow candles indicate zones where a signal is active but price has yet to break out — offering early positioning insights.
• Backtest across various timeframes like 15min, 1hr, and 4hr to fit your trading style.
Limitations of XForex Strategy
1. Late Entries: Signals often appear after the trend has already started.
2. False Signals in Sideways Markets: Prone to whipsaws during low volatility.
3. Fixed Parameters: No flexibility to adjust for different assets or timeframes.
4. No Take-Profit Logic: Only stop-loss is defined; TP must be managed manually.
5. Not Ideal for Ranging Markets: Performs best in trending conditions.
6. No Volume Filter: May enter weak trends without confirmation.
7. Sensitive to News Events: Can react to sudden price spikes with false triggers.
Breakout with ATR & Volume Filter🚀 Introducing Our New Breakout Strategy: Powerful Signals with ATR & Volume Filters
Designed specifically for the fast and volatile crypto markets, this breakout strategy delivers robust signals on Bitcoin’s 15-minute charts.
🌟 Key Features:
ATR filter ensures entries only during high volatility periods, reducing false signals.
Volume confirmation captures strong and reliable breakouts.
20-period support/resistance breakout levels identify early trend moves.
Scientifically optimized stop loss and take profit levels provide effective risk management.
Simple, clear, and effective — ideal for both beginners and professional traders.
🔥 Why Choose This Strategy?
It filters out market noise and focuses on genuine momentum moves, increasing your chances of success by leveraging real-time volatility and volume conditions.
📈 How to Use
Easily deploy on TradingView with customizable parameters. Perfect for traders who need quick, confident decisions in crypto markets.
Get closer to success in BTC trading with reliable signals and smart risk management!
Asset master - POCKET Pro + Range Bounce Strategy with ScreenerPOCKET Pro + Range Bounce Strategy with Screener
Smart Trend-Powered Long-Only Entry System with Asset Screener
This invite-only script combines two of the most reliable long-entry systems — our POCKET Pro Strategy and a dynamic Range Bounce — to deliver high-quality long setups on breakout-ready assets only. It includes:
✅ Smart Trend Confirmation
✅ Volatility-Driven Entries when price is near Range Lows
✅ filter to avoid choppy trends
✅ Automated Screener Logic that pre-selects assets
✅ Built-in ATR-based SL/TP + Optional Trailing Profit
✅ CryptoHopper-compatible alert format for automation
Access Instructions:
Follow me on TradingView
Message me with your username and intended use , i will send u link to join
For faster access, join the Telegram Bot @PocketVaultAlertsBot
EMA 9/21 Crossover Strategy w/ Reversals + Shading9 and 21 EMA cross over. Buy and sell signals on cross over
Gold Trend Scalper [Strategy]This strategy identifies the main trend using a 200-period moving average and enters trades on pullbacks to a 21-period moving average. It automatically calculates position size based on a fixed percentage risk and sets a volatility-based stop-loss and take-profit using the Average True Range (ATR).
EMA Cross Strategy only Long📈 EMA Cross Strategy – Only Long
Simple. Clean. Powerful. Designed for strong uptrends.
This is a long-only trend-following strategy based on the classic crossover of Exponential Moving Averages (EMAs). It’s designed for growth stocks and trending assets where upward momentum dominates.
⚙️ How it works:
Entry: when the Fast EMA crosses above the Slow EMA
Exit: when the Fast EMA crosses below the Slow EMA
No shorts, no reversals – just pure trend riding.
By default, the strategy uses 50/100 EMA, which has performed exceptionally well on stocks like NVIDIA (NVDA). These settings can be easily customized to fit your preferred asset or timeframe.
📊 Backtest Example – NVIDIA (NVDA, 1D timeframe)
Test parameters:
Initial capital: $10,000
Order size: 50% of equity per trade (adjustable in settings)
Results:
Net profit: +$2,037,563.63 USD
Gross profit: $2,127,432.33
Gross loss: $89,868.70
Max equity growth: $2,708,648.75 (+99.63%)
Drawdown: 20.00%
Buy & Hold profit: +$30,636,000 USD (but with far more exposure)
The strategy dramatically outperformed passive holding on a risk-adjusted basis, while keeping drawdowns and trade count under control.
🔧 Customization & Risk Management
In the Strategy Settings, you can adjust:
EMA lengths (default: 50 fast, 100 slow)
Order size as a % of equity (e.g., reduce below 50% to lower drawdown)
Backtest range and asset type (works well on growth stocks and trending commodities)
Try this on assets with strong bullish cycles like NVDA, AAPL, MSFT, or Gold (XAU/USD).
⚠️ Disclaimer
This script is for educational and backtesting purposes only. It is not financial advice. Please do your own research and test carefully before trading live.
Civan Ali'nin Sihirli Çizgisi🧙♂️ Civan Ali’s Magic Line
Sense the trends, don’t miss the moves!
This strategy is built on two magically effective foundations:
📏 Moving Averages (WMA 50 & 200) and
🧠 CCI signals powered by the IFT Combo filter.
How It Works
🔹 When price starts accelerating upward and the short-term average (WMA50) crosses above the long-term (WMA200), a potential long signal forms.
🔻 If it crosses downward, a short signal is considered.
But it doesn’t jump in immediately!
🎯 To avoid “noisy” market moves, the system uses an Inverse Fisher Transform (IFT) filter.
Only when momentum is truly strong does it allow trades.
Why It’s Different
✅ Detects trend direction
✅ Filters out weak signals
✅ Manages risk and profit intelligently
And while doing all that, it warns you with magical labels and emojis on the chart.
In short: It’s both effective and entertaining. 🎯
[D] SLH W3MCT⏱ Purpose & Market Regime
SLH W3MCT is a swing-trading strategy engineered for liquid spot or perpetual markets (crypto, FX, indices, high-volume equities) on 30 min – 4 h charts. It seeks to capture the transition from consolidation to expansion by aligning trend, momentum, and volatility while tightly controlling risk.
🧩 Core Logic (high-level)
Component
Role in the Decision Stack
Default Inputs
SuperTrend
Primary trend filter. A new Up/Down flip triggers directional bias.
ATR 21 × Factor 8
SSL Hybrid Baseline
Determines whether price has cleared a dynamic Keltner channel derived from a user-selectable MA (EMA by default).
Length 30, Mult 0.20
QQE-MOD (two-speed)
Confirms momentum by requiring synchronized bullish/bearish conditions on fast (RSI-6) and slow (RSI-11) lines.
See Inputs
Optional Filters
• ATR surge• EMA slope• ADX/-DI / +DI dominance• Second SuperTrend layer
Toggle individually
Risk Engine
Position sizing and exit rules (see below).
—
Entry:
Long = ST flips ↑ AND Close > Upper SSL band AND dual-QQE bullish AND all enabled filters true
Short = ST flips ↓ AND Close < Lower SSL band AND dual-QQE bearish AND all enabled filters true
⚖️ Risk & Money Management
Feature
Choices
Default
Stop-Loss
• % of price• ATR multiple• Previous swing Low/High
ATR 14 × 3
Take-Profit
R-multiple derived from SL (RR default = 1.8). Partial scale-out (i_tpQuantityPerc) supported.
TP 50 % @ 1.8 R
Trailing / Break-Even
Optional true trailing stop or BE move after first TP hit.
Off
Position Size
Risks a fixed % of equity (default 3 %) based on distance to SL.
On
All order quantities, SL/TP levels, and dashboard metrics adjust in real time as you change settings.
📊 Default Back-test Properties
Property
Value
Rationale
Initial Capital
$10 000
Reasonable for most retail accounts.
Order Size Type
Percent of Equity = 100 %
Allows Risk Engine to down-scale.
Commission
0.1 % per side
Models typical crypto taker fee.
Slippage
0 ticks (user may override)
Use an estimate if trading thin markets.
Sample Size
Strategy requires ≥ 100 trades for statistical validity; broaden date range if needed.
Disclaimer: Back-testing cannot fully reproduce live fills, funding, or liquidity slippage. Forward-test on paper before deploying capital.
🖥️ How to Use
Add to Chart on your chosen symbol & timeframe.
Define Back-test Window in Time ▶ Start/End Date (UTC +09:00).
Select Directional Bias – enable Long, Short, or both.
Toggle Filters to fit market conditions (e.g., turn on the ATR filter in breakout environments).
Configure Risk: pick SL type, RR ratio, and risk-per-trade %.
Confirm Dashboard Stats in the upper-right corner.
Once satisfied, switch to Alerts → “Any alert() function call” for automation.
🔄 Originality Statement
This script integrates three well-known indicators in a novel gated-stack architecture: trend (SuperTrend), baseline breakout (SSL Hybrid Keltner), and dual-frequency momentum (QQE-MOD). The multi-layer filter matrix plus dynamic risk engine results in fewer, higher-quality trades compared with using any single component alone.
2. Marketing / Investor One-Pager
(tone: Grant-Cardone hustle × Hormozi clarity × Saylor conviction)
Headline:
“Catch the Expansion, Cut the Noise – SLH W3MCT turns sideways chop into asymmetric ROI.”
Why it matters: Markets spend 70 % of their life going nowhere. Breakouts pay the bills – but only if you dodge the head-fakes. SLH W3MCT sniffs out the imminent move with a three-sensor array:
SuperTrend Doppler – spots the regime shift early.
SSL Hybrid Radar – confirms price is breaking the Keltner wall, not just tapping it.
Dual-Speed QQE Thrust – validates momentum across two gear ratios so you’re not caught on a dead cat bounce.
Capital Protection First:
Every position is engineered top-down: you pre-define the % you’re willing to lose, the algo reverse-engineers position size, then stamps in a verifiable ATR stop. Optional trailing logic lets you milk runners; break-even logic lets you sleep.
Proof in Numbers (BTCUSD 4 h, 1-Jan-2019 → 1-Jan-2025):
Net Return: +412 %
Win Rate: 58 %
Max Drawdown: −14.6 %
Avg R / Trade: 0.42 R
(stats shown with 0.1 % commission, 0.05 % slippage, 3 % risk)
Plug-and-Play:
Works on crypto, FX, indices.
Ships with a visual dashboard – no spreadsheet gymnastics.
100 % alert-ready for webhooks & bot routing.
Get Access: DM @SimonFuture2 or visit W3MCT.com for license tiers, white-glove onboarding, and institutional SLA.
Examples:
www.tradingview.com
COINBASE:BTCUSD
NASDAQ:RIOT
BB + Supertrend with One-Time 100 USD Half ExitUse these signals for 4 hour and above time frames. It shows an exit of 50% of your trade after 100 pip profit. This is best for crypto. For gold I would suggest exit half the position at 50 pips profit. You can then trail the rest of manage manually.
Works best with crypto and gold
Keltner Channel + SMI 3-min with RVOLThis strategy is designed for active traders looking to capitalize on short-term price extremes in high-volume environments. Built on a 3-minute chart, it combines the precision of the Keltner Channel with the momentum insights of the Stochastic Momentum Index (SMI), while adding a volume-based filter to enhance the quality of trade signals.
The system aims to identify mean reversion opportunities by monitoring when price overextends beyond key volatility bands and aligns with deeply overbought or oversold momentum readings. However, it only triggers trades when relative volume is elevated, ensuring that signals are backed by significant market activity.
Long positions are initiated when price dips below the lower volatility band, momentum is deeply negative, and volume confirms interest.
Shorts are opened when price spikes above the upper band with overheated momentum and heavy participation.
Positions are exited once the momentum shifts back toward neutrality, helping to lock in gains on reversion.
The result is a tight, reactive strategy that avoids low-volume noise and aims to catch sharp reversals with strong participation. Ideal for SPY or other high-liquidity instruments, especially during peak market hours.
