WT-FLOW: MTF WaveTrend Trend-Follower📘 Strategy Introduction: WT-FLOW (WaveTrend Trend-Follower)
WT-FLOW is a multi-timeframe trend-following strategy specifically **optimized for the 15-minute timeframe** on the BTC/USDT trading pair. It is designed to help professional users follow buy/sell trends with high precision.
The strategy utilizes a three-tiered time alignment:
- **240min WaveTrend**: Macro trend filter (determines high-timeframe direction)
- **30min WaveTrend**: Momentum confirmation (validates trend continuation)
- **15min WaveTrend**: Signal generation (entries and exits are executed here)
It features an advanced **Trailing Stop** mechanism that includes maximum gain-based tracking logic and percentage-based fallback tolerance. Entry and exit points are marked on the chart with colored labels (🟢🔴❅❄), including bar index information.
⚙️ Technical Features:
- Compatible with Pine Script v5
- Backtestable via the `strategy()` block
- Supports both Long and Short position tracking
- Trailing Stop and Marginal Stop systems work in tandem
⚠️ Disclaimer:
This strategy is based on historical data. It should not be used in live markets without manual confirmation and appropriate risk management. Use is at your own risk.
Penunjuk dan strategi
Hybrid: RSI + Breakout + Dashboard95% of traders lose, then i developped a bot that can go over those rules.
SMMA Cross Strategy stopsuzThey were formed by the intersections of 2 SMMA moving averages. You can adjust the parameter and make profit.
YTPBTC1HATRSSADXTitle:
High-Precision Breakout ATR Trailing Strategy with ADX Filtering for BTC 1H
Description:
YTPBTC1HATRSSADX is a precision-engineered 1-hour BTC breakout strategy utilizing adaptive ATR-based stop systems and optional ADX filtering to enhance trade quality and dynamic risk management. The system enters positions upon confirmed breakouts above/below N-period highs/lows, while aligning with trend conditions determined by a long-term RMA filter.
Key features:
✅ Adaptive ATR stop management with dual-phase logic: initial stop placement followed by dynamic trailing after reaching profit thresholds.
✅ Optional ADX filtering to confirm directional strength before entry, reducing false signals during choppy markets.
✅ Dynamic pullback-based take-profit system, locking in profits during high volatility conditions without sacrificing upside potential.
✅ Clear on-chart visualization of entry levels, ATR stops, breakout levels, and trend background color for intuitive monitoring.
✅ Fully parameterized for ATR period, multiplier, breakout period, RMA trend period, ADX threshold, and pullback settings to adjust according to market conditions.
This strategy is designed for traders seeking robust trend-following breakout entries while systematically managing risk with ATR and maximizing profit potential through trailing and pullback exit logic. Ideal for BTC perpetual futures and margin trading environments requiring disciplined execution.
Test on BTCUSDTPERP 1H to explore its consistency across different volatility regimes, and adjust parameters to align with your risk appetite and capital allocation strategies.
Samil Dogru SmartTrailing v1.1📘 Samil Dogru SmartTrailing v1.1 – BTCUSDT Optimized Strategy (15-Minute)
Samil Dogru SmartTrailing v1.1 is an advanced trend-tracking and profit-locking strategy, specifically optimized for BTCUSDT on the 15-minute timeframe.
It integrates dynamic price following, intelligent trailing exit after trigger activation, and protective hard-stop loss logic to maximize profit while limiting downside risk.
⚙️ Core Strategy Logic:
Entry Signal: Based on a crossover of HMA100 and HMA200, filtered by the trend direction of HMA500 and HMA1000 (cloud logic).
Trigger Mechanism: When price moves a user-defined percentage (e.g., +1.2%) from the entry, the trailing logic is activated.
Smart Trailing Exit: Once triggered, the strategy tracks new highs (for long) or new lows (for short). A trailing stop is dynamically updated. If price pulls back by the defined margin (e.g., 0.8%), the position exits.
Hard Stop (Pre-Trigger): If price moves adversely by a defined percentage (e.g., 2.5%) before the trigger is hit, the position is forcefully exited to protect capital.
📊 Performance Note:
On BTCUSDT with 15-minute candles, historical testing has shown:
High directional accuracy
Optimized entry and exit timing
Improved profit retention with minimal user intervention
This setup is ideal for semi-automated swing scalping within structured trend conditions.
📎 User Controls:
All percentages are user-defined:
Trigger Threshold (%)
Trailing Margin (%)
Maximum Loss (%) before trigger
Trailing logic is active only after the trigger level is reached. One position at a time (pyramiding=0).
⚠️ Disclaimer:
This strategy is not financial advice. While historical performance is promising, future results are not guaranteed.
Always test in a simulated environment before deploying real capital. Use proper position sizing and risk management.
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
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.
Supertrend AT v1.0📌 Supertrend AT v1.0 — Strategy Overview
Overview
Supertrend AT v1.0 is a fully automated trading strategy based on the Supertrend indicator.
It identifies trend reversals and places long or short entries accordingly, with built-in position sizing, stop-loss/take-profit management, and commission-aware calculations.
🚀 Key Features
✅ Entry Signals Based on Trend Reversals
Long entry when Supertrend changes from downtrend to uptrend
Short entry when Supertrend changes from uptrend to downtrend
✅ Risk-Based Position Sizing
Calculates position size so that a stop-loss only risks a fixed percentage (RPT) of total capital
✅ Reward/Risk Ratio-Based Target Price Calculation
Take-profit price is computed not by price difference, but by actual loss and desired reward-to-risk (RR) ratio
✅ Fully Commission-Aware
Commission is factored into entry, stop-loss, and take-profit price calculations
Ensure commission settings match in both the input panel and the strategy properties tab
✅ Dual Language Support
Switch between English and Korean interface
✅ Visual Trade Levels & Info Display
Entry, stop, and target prices plotted on the chart
Real-time open PnL and equity shown in an on-screen table
⚙️ How to Use
Apply Strategy to Chart
Load the strategy and configure the following parameters in both the Input tab and the Properties tab:
Commission rate (e.g., 0.05%)
Market decimal precision (e.g., 4 for 0.0001)
Adjust Entry Parameters
RPT: Risk per trade as a percentage of your total equity (e.g., 2%)
RR: Reward-to-risk ratio (e.g., 3 = target profit is 3× the potential loss)
Choose whether to allow Long or Short trades
For Auto-Trading Integration
Make sure the minimum order size is valid for your exchange
If the calculated quantity is below the exchange's minimum unit, it may result in errors
⚠️ Important Notes
❗ Non-Repainting — Supertrend is based on confirmed candles and does not repaint
❗ Backtest-Only — The strategy is for signal generation only and does not execute real trades without external automation
❗ Margin-Based Calculations — Default settings assume margin trading; adjust accordingly
📄 License & Disclaimer
This strategy is licensed under the Mozilla Public License 2.0.
This script is not financial advice. Use at your own risk.
Always test thoroughly with backtesting and paper trading before using in live markets.
CM_VixFix_RSI_HMA200_TrailStop_vFinal📌 CM_VixFix_RSI_HMA200_TrailStop – vFinal | BTC 30-Minute Strategy (Long & Short)
This strategy combines volatility-based market shock detection (Williams Vix Fix), trend confirmation (HMA200), and momentum filtering (RSI) to generate high-probability trade entries. It is engineered for BTC/USDT on the 30-minute timeframe, with carefully tuned parameters through extensive backtesting.
🎯 Core Components:
WVF (Williams Vix Fix): Identifies volatility spikes, acting as a proxy for oversold conditions or panic drops.
RSI (Relative Strength Index): Generates directional momentum signals, with separate thresholds for long and short entries.
HMA200: Filters trades based on the prevailing market trend. Trades are only allowed in the direction of HMA slope and position.
ATR-Based Trailing Stop Engine: Activates after a minimum profit threshold is hit. Combines dynamic trailing logic with a Hard Stop (maximum loss limit) to mitigate risk.
⚠️ Short-Side Challenges & Solutions
During development, the short-side trades exhibited a lower win rate, a common behavior in crypto bull-biased markets. To address this, we implemented:
RSI trigger reduced to 20 to capture only high-momentum sell-offs.
Dual confirmation: RSI must also be below its EMA(21) and price below EMA(100).
MaxBars filter (10 candles): Prevents multiple short entries in tight ranges or low-volatility zones.
As a result:
Short trades now yield a Risk/Reward ratio above 3.4
Average short trade profit is ~3x the average loss, making short entries valuable despite lower hit rate.
📊 Performance Summary (Backtest: BTCUSDT, 30-Min, July 2024–July 2025)
Metric Long Short Overall
Total Trades 401 50 451
Win Rate 49.6% 30.0% 47.4%
Avg PnL 311 USDT 1,229 USDT 413 USDT
Risk/Reward (Avg K/L) 1.05 3.48 1.16
🚨 Disclaimer
This strategy is not a plug-and-play black box. While signals are statistically validated, we strongly recommend using this tool in conjunction with:
Volume and time-of-day filters
Fundamental/macro overlays (especially around Fed announcements or CPI data)
A broader risk management framework
Note: This strategy has been optimized exclusively for BTC/USDT on the 30-minute timeframe. If applied to other assets or timeframes, recalibration is necessary.
VDN2 - SuperTrend + ADX + Stochastic StrategySuperTrend + ADX + Stochastic
Overview:
A trend-following and momentum-confirmation strategy using SuperTrend, ADX (>20 filter), and Stochastic oscillator. Optimized for Gold (XAUUSD) on the 10-minute chart.
Backtest Highlights (Last 1 Week):
Win Rate: 83.3% (5 out of 6 trades)
Net Profit: +56.35 USD (1 contract size)
Avg Trade Duration: ~58 bars (~9.6 hours)
Max Drawdown: 16.65 USD
Avg Win: 9.24 USD, Avg Loss: 0.82 USD
Largest Single Profit: 23.28 USD
Profit Factor: ~11.27
Core Logic:
Enter Long when:
* SuperTrend is bullish
* ADX > 20
* Stochastic %K > %D and %K < 80
Enter Short when:
* SuperTrend is bearish
* ADX > 20
* Stochastic %K < %D and %K > 20
No fixed TP/SL. Positions closed on signal reversal.
Improved Breakout-Retest Strategy (5M Entry)This strategy combines the strength of a higher timeframe structure with precision 5-minute entries. It identifies consolidation zones on the 4H chart, waits for a strong breakout in the direction of the trend, and then enters on a retest confirmed by an engulfing candle on the 5-minute timeframe. A 200 EMA filter ensures trades align with the dominant trend, while a strict 1:3 risk-to-reward ratio maximizes profitability. It's designed to reduce false breakouts and optimize small account growth with tight stop losses and high probability setups during active trading hours.
SuperTrend + ADX + Stochastic Stratejisi SuperTrend + ADX + Stochastic
Overview:
A trend-following and momentum-confirmation strategy using SuperTrend, ADX (>20 filter), and Stochastic oscillator. Optimized for Gold (XAUUSD) on the 10-minute chart.
Backtest Highlights (Last 1 Week):
Win Rate: 83.3% (5 out of 6 trades)
Net Profit: +56.35 USD (1 contract size)
Avg Trade Duration: ~58 bars (~9.6 hours)
Max Drawdown: 16.65 USD
Avg Win: 9.24 USD, Avg Loss: 0.82 USD
Largest Single Profit: 23.28 USD
Profit Factor: ~11.27
Core Logic:
Enter Long when:
* SuperTrend is bullish
* ADX > 20
* Stochastic %K > %D and %K < 80
Enter Short when:
* SuperTrend is bearish
* ADX > 20
* Stochastic %K < %D and %K > 20
No fixed TP/SL.
Positions closed on signal reversal.
BullFinder_15M_OBV_RSI_MFI📊 BullFinder_15M_OBV_RSI_MFI
15-Minute BTC/USDT Long-Only Strategy Powered by OBV, NetVolume, RSI and MFI
Designed for high-frequency bullish opportunities, this strategy combines volume-confirmed momentum with dynamic trailing stop exits. Ideal for breakout traders seeking consistency over noise.
🔍 Indicators Used:
OBV + Net Volume: Volume divergence & pressure detection
RSI + MFI: Momentum and liquidity filters
EMA21: Baseline trend confirmation
Advanced Trailing Stop: Dynamic trigger + offset + hard loss control
📅 Backtest Summary (Last 12 Months | BTC/USDT | 15m TF):
Total Trades: 381
Win Rate: 83.20%
Avg. PnL per Trade: +746.18 USDT
Avg. Winner: 7,097 USDT
Avg. Loser: -30,713 USDT
Best Trade: 65,654 USDT
Profit Factor: 0.231
✅ Alerts Available
To automate entries or get Telegram alerts, set an alarm with the message:
📢 "BullFinder: Long Entry Triggered"
VDN1 - T3 Tilson + IFT + ATRThis strategy combines three powerful indicators to create a high-quality and low-noise trading system:
🔹 T3 Tilson: Serves as the main trend indicator. It reacts smoothly to market direction changes while reducing noise.
🔹 Inverse Fisher Transform of RSI: A momentum filter that sharpens the signal precision. Only trades in the direction of positive or negative momentum.
🔹 ATR Filter: Avoids entries during low volatility (sideways) periods. Ensures the market is active enough before executing trades.
Core Logic:
* Long Entry: T3 Tilson rising + IFT(RSI) > 0 + ATR > threshold
* Short Entry: T3 Tilson falling + IFT(RSI) < 0 + ATR > threshold
* All trades use a fixed size of 1 unit for consistent risk evaluation.
Performance Notes:
* Works exceptionally well on index futures (e.g., NAS100, US30, GER40)
* Shows low drawdown and high profit factor (PF > 3) on those assets
* Also performs decently on XAUUSD, even with only \~32% win rate — thanks to favorable risk/reward
* BTC and ETH may require modified versions due to higher volatility and whipsaws
This is a master version — clean, unoptimized, and stable.
Use this as a core engine to build and test enhanced versions (e.g., with TP/SL, dynamic filters, etc.)
Happy testing and trading!
我的策略
The specific implementation of the dominant_cycle function needs to be done using ta.ht_dominant_cycle_period or by calculating the rate of change of the phase, which requires detailed technical processing in actual coding.
How to use the "Market Mathieu Oscillator":
• Green background (stable zone): The market is likely to be in a consolidation or mean reversion state. Trend strategies are riskier, while range trading or option seller strategies may be more dominant.
• Yellow background (warning zone): The market has entered a "flammable" state where resonance may occur. Counter-trend trading should be reduced, and preparations for potential breakthroughs should be started, tightening stops.
• Red background (unstable/resonance zone): **Highest alert! ** This shows that the market is not only "flammable", but also has a "spark" (strong driving force). This is the stage where the trend is most likely to accelerate and sustain itself. Counter-trend operations should be strictly avoided, and trend-following strategies should be actively adopted.
• Q Oscillator:
• The rising q value means that emotions are moving to extremes and the "fuel" of the trend is increasing.
• The q-value is falling, indicating that sentiment is returning to neutrality and the "fuel" of the trend is decreasing, which may indicate the exhaustion of the trend or the beginning of consolidation.
• When the q-value exceeds the red threshold line, it indicates that the driving force is extremely strong, which is one of the necessary conditions for entering the red background.
The "Market Mathieu Oscillator" is an innovative attempt to transform a profound physical and financial theory into an intuitive decision-making aid available on TradingView through a proxy and simplified approach. It cannot make precise quantitative predictions like theoretical models, but it provides a whole new dimension to observe the market: it no longer focuses solely on the price itself, but on the relationship between the "force" that drives the price and the "rhythm" of the market itself. Through this lens, traders can better understand when the market may turn from stability to turbulence, and make more strategic decisions.
Enhanced Ichimoku Cloud Strategy V1 [Quant Trading]Overview
This strategy combines the powerful Ichimoku Kinko Hyo system with a 171-period Exponential Moving Average (EMA) filter to create a robust trend-following approach. The strategy is designed for traders seeking to capitalize on strong momentum moves while using the Ichimoku cloud structure to identify optimal entry and exit points.
This is a patient, low-frequency trading system that prioritizes quality over quantity. In backtesting on Solana, the strategy achieved impressive results with approximately 3600% profit over just 29 trades, demonstrating its effectiveness at capturing major trend movements rather than attempting to profit from every market fluctuation. The extended parameters and strict entry criteria are specifically optimized for Solana's price action characteristics, making it well-suited for traders who prefer fewer, higher-conviction positions over high-frequency trading approaches.
What Makes This Strategy Original
This implementation enhances the traditional Ichimoku system by:
Custom Ichimoku Parameters: Uses non-standard periods (Conversion: 7, Base: 211, Lagging Span 2: 120, Displacement: 41) optimized for different market conditions
EMA Confirmation Filter: Incorporates a 171-period EMA as an additional trend confirmation layer
State Memory System: Implements a sophisticated memory system to track buy/sell states and prevent false signals
Dual Trade Modes: Offers both traditional Ichimoku signals ("Ichi") and cloud-based signals ("Cloud")
Breakout Confirmation: Requires price to break above the 25-period high for long entries
How It Works
Core Components
Ichimoku Elements:
-Conversion Line (Tenkan-sen): 7-period Donchian midpoint
-Base Line (Kijun-sen): 211-period Donchian midpoint
-Span A (Senkou Span A): Average of Conversion and Base lines, plotted 41 periods ahead
-Span B (Senkou Span B): 120-period Donchian midpoint, plotted 41 periods ahead
-Lagging Span (Chikou Span): Current close plotted 41 periods back
EMA Filter: 171-period EMA acts as a long-term trend filter
Entry Logic (Ichi Mode - Default)
A long position is triggered when ALL conditions are met:
Cloud Bullish: Span A > Span B (41 periods ago)
Breakout Confirmation: Current close > 25-period high
Ichimoku Bullish: Conversion Line > Base Line
Trend Alignment: Current close > 171-period EMA
State Memory: No previous buy signal is still active
Exit Logic
Positions are closed when:
Ichimoku Bearish: Conversion Line < Base Line
Alternative Cloud Mode
When "Cloud" mode is selected, the strategy uses:
Entry: Span A crosses above Span B with additional cloud and EMA confirmations
Exit: Span A crosses below Span B with cloud and EMA confirmations
Default Settings Explained
Strategy Properties
Initial Capital: $1,000 (realistic for average traders)
Position Size: 100% of equity (appropriate for backtesting single-asset strategies)
Commission: 0.1% (realistic for most brokers)
Slippage: 3 ticks (accounts for realistic execution costs)
Date Range: January 1, 2018 to December 31, 2069
Key Parameters
Conversion Periods: 7 (faster than traditional 9, more responsive to price changes)
Base Periods: 211 (much longer than traditional 26, provides stronger trend confirmation)
Lagging Span 2 Periods: 120 (custom period for stronger support/resistance levels)
Displacement: 41 (projects cloud further into future than standard 26)
EMA Period: 171 (long-term trend filter, approximately 8.5 months of daily data)
How to Use This Strategy
Best Market Conditions
Trending Markets: Works best in clearly trending markets where the cloud provides strong directional bias
Medium to Long-term Timeframes: Optimized for daily charts and higher timeframes
Volatile Assets: The breakout confirmation helps filter out weak signals in choppy markets
Risk Management
The strategy uses 100% equity allocation, suitable for backtesting single strategies
Consider reducing position size when implementing with real capital
Monitor the 25-period high breakout requirement as it may delay entries in fast-moving markets
Visual Elements
Green/Red Cloud: Shows bullish/bearish cloud conditions
Yellow Line: Conversion Line (Tenkan-sen)
Blue Line: Base Line (Kijun-sen)
Orange Line: 171-period EMA trend filter
Gray Line: Lagging Span (Chikou Span)
Important Considerations
Limitations
Lagging Nature: Like all Ichimoku strategies, signals may lag significant price moves
Whipsaw Risk: Extended periods of consolidation may generate false signals
Parameter Sensitivity: Custom parameters may not work equally well across all market conditions
Backtesting Notes
Results are based on historical data and past performance does not guarantee future results
The strategy includes realistic slippage and commission costs
Default settings are optimized for backtesting and may need adjustment for live trading
Risk Disclaimer
This strategy is for educational purposes only and should not be considered financial advice. Always conduct your own analysis and risk management before implementing any trading strategy. The unique parameter combinations used may not be suitable for all market conditions or trading styles.
Customization Options
Trade Mode: Switch between "Ichi" and "Cloud" signal generation
Short Trading: Option to enable short positions (disabled by default)
Date Range: Customize backtesting period
All Ichimoku Parameters: Fully customizable for different market conditions
This enhanced Ichimoku implementation provides a structured approach to trend following while maintaining the flexibility to adapt to different trading styles and market conditions.
Enhanced RSI Divergence StrategyCore Strategy Logic
1. Higher Timeframe (HTF) Context
Purpose: Align with the dominant trend (e.g., "bullish made new highs").
Tools:
Price action (breakouts, key support/resistance levels).
Trend confirmation (e.g., 50EMA on 1H/4H charts).
2. Lower Timeframe (LTF) Entry Triggers
Momentum Breakdown (Short Example):
Signal: Price makes "high of the day" + reversal candlestick (e.g., bearish engulfing).
Confirmation: RSI divergence or volume spike.
Support Reversion (Long/Short):
Signal: False breakout (e.g., "faked bullish breakout and reversed").
Confirmation: Wick rejection at HTF support/resistance.
3. Trade Execution
Entry: On 5-minute close after trigger.
Stop Loss (SL):
Current: Fixed ticks (e.g., 7-13 pts) → Issue: Too tight for US100 volatility.
Improved: 1.5x ATR(14) or beyond recent swing high/low.
Take Profit (TP):
Current: Fixed price levels (e.g., 21523).
Improved: Tiered exits (50% at 1:1 RR, trail rest).
4. Position Sizing
Fixed contracts (e.g., 10 per trade).
Better Approach: Risk 1-2% of capital per trade (adjust size based on SL distance).
Key Strengths
HTF+LTF Alignment: Avoids counter-trend traps by trading in HTF direction.
Flexibility: Adapts to momentum and mean-reversion setups.
Journaling: Tracks emotions/mistakes (critical for improvement).
EMAREVEX: Adaptive Multi-Timeframe Mean Reversion
📘 Strategy Overview: EMAREVEX
EMAREVEX (EMA Reversion Expert) is a professionally engineered mean-reversion strategy tailored for BTC/USDT, optimized specifically for the 15-minute and 30-minute timeframes.
It combines:
- Multi-timeframe EMA200 trend filtering (15m & 30m)
- Bollinger Band lower/upper breaches as reversion anchors
- RSI-based confirmation for oversold/overbought conditions
- A trailing stop-loss mechanism that activates only after volatility surpasses a configurable ATR threshold, then dynamically tracks price
This setup targets short-term pullback opportunities in volatile intraday environments.
🔬 Designed for quant-informed traders who seek precision entries and dynamic exit control.
⚠️ Warning:
This strategy is optimized on historical data. It should not be used without discretionary confirmation, appropriate risk management, and forward-testing under live market conditions.
Renko UT Bot Strategy v6 - ADX FilterDescription:
This script implements a Renko-based trailing stop strategy using the UT Bot method, now enhanced with an optional ADX and DI+/- filter to help avoid choppy, low-momentum market conditions. Trades are triggered only when price and EMA cross the adaptive trailing stop and ADX/DI conditions are also met.
USE:
Start the indicator on a Renko chart and optimize settings for prefered choosen chart
Key Features:
Adaptive ATR trailing stop based on Renko logic
EMA/Trailing Stop crossovers for entries
Adjustable ADX and DI+/- filter (no signals if conditions aren’t met)
Visual stop line and trade labels on the chart
Customizable inputs for ATR, EMA, and filter levels
Disclaimer:
This strategy is provided for educational and research purposes only. It has not been tested in live trading or with real money. The past performance of this script does not guarantee future results. Trading involves substantial risk, and you can lose all or more of your investment.
Before considering any real-money use, please test the strategy thoroughly on a demo account or in TradingView’s paper trading environment.
This script is not financial advice. Consult with a licensed financial advisor before making trading decisions.
Author PDK1977
Sanuja nuwanThe Zero Fear Indicator is a custom-built trading tool designed for confident and precise entries. Powered by real-time market structure, volume pressure, and volatility logic, it filters out noise and shows clear buy/sell signals with zero hesitation. Perfect for both beginners and experienced traders looking to trade without fear.
NASDAQ Smart Momentum Strategy v4.1 BoostedTry to trade Nasdaq with it in 15 min time frame just build today. GL
KumoFlow Pro v1.0📌 Strategy Description: KumoFlow Pro v1.0
KumoFlow Pro is a momentum strategy that fuses the classic Ichimoku system with modern volume-based confirmations: VWMA (Volume Weighted Moving Average) and CMF (Chaikin Money Flow). It focuses not only on trend direction but also on whether the move is supported by genuine volume, enabling trades only on high-conviction breakouts.
🔍 Key Components:
- 🔹 Ichimoku: Captures trend direction, momentum, and support/resistance zones.
- 🔸 VWMA: Adds weight to volume-backed price moves and filters out weak breakouts.
- 🔸 CMF: Confirms the presence of real capital flow in the trade direction.
- 🔁 Trailing Stop: Dynamic exit mechanism that locks in profit once the trade is in gain. It is % based and adapts to price behavior.
🎯 Purpose of This Setup:
- Capitalize on short-term volatility
- Catch early breakouts with volume confirmation
- Preserve profits with precision via trailing exit
⚙️ OPTIMIZED PARAMETERS (BTC / 30MIN CHART):
- Ichimoku Tenkan/Kijun: 5 / 15
- Senkou B: 30
- VWMA & CMF Length: 10
- Trailing Trigger: 1.5%
- Trailing Offset: 1.0%
⚠️ DISCLAIMER:
This setup is tuned for fast-paced environments and frequent entries. It may produce false signals in choppy conditions. Please test and validate on demo or historical charts before live use.
🔧 All parameters are fully user-adjustable from the input panel. You may customize it for different timeframes or assets.
