A Guide to Popular TradingView Strategies and Indicators

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TradingView is a powerful platform offering numerous trading strategies and indicators developed by its community. These tools help traders identify potential opportunities, manage risk, and execute systematic trades. This guide provides an overview of several popular scripts, explaining their core methodologies and unique features.

KST Strategy by Skyrexio

This strategy utilizes the Know Sure Thing (KST) momentum oscillator in combination with the Williams Alligator and a moving average to identify high-probability long setups.

Core Components:

This systematic approach aims to enter trends early with managed risk. 👉 Explore more strategies

Aftershock Playbook: Stock Earnings Drift Engine

This is an event-driven strategy designed to capitalize on the momentum, or "drift," that often follows a stock's earnings announcement.

How It Works:

This strategy is built for traders looking to systematically trade earnings events in stocks and ADRs.

Price Statistical Strategy – Z Score

This strategy employs statistical analysis using the Z-Score to detect potential mean reversion opportunities.

Methodology:

As a pure price-based strategy, it focuses solely on statistical deviations without using volume or other trend indicators.

Parabolic RSI Strategy

This innovative strategy combines the Relative Strength Index (RSI) with Parabolic SAR logic, applying the SAR to the RSI line itself rather than the price.

Key Features:

This approach provides a unique momentum-based system that works in both trending and mean-reverting markets.

Adaptive Fibonacci Pullback System (AFPS)

This sophisticated strategy combines Fibonacci retracement levels with adaptive moving averages and multi-timeframe confirmation for identifying high-probability pullback entries.

Core Innovations:

This institutional-grade system requires all components to align for a trade, aiming for high-quality, high-confluence signals.

Frequently Asked Questions

What is the main advantage of using an ATR-based stop loss?
An ATR-based stop loss adjusts to market volatility. In high-volatility periods, the stop is wider to avoid being whipsawed out of a trade. In low-volatility periods, it tightens, helping to protect profits. This dynamic approach is often more effective than a fixed-percentage stop.

How do I know which strategy is right for my trading style?
Consider your risk tolerance, time horizon, and preferred market. Trend-following strategies like the KST or THMA work well in sustained trends, while mean-reversion strategies like the Z-Score perform better in ranging markets. Always thoroughly backtest a strategy on your chosen instrument and timeframe before using it.

Are these strategies guaranteed to be profitable?
No. All strategies, no matter how robust, are based on historical performance and cannot guarantee future results. Market conditions change, and all trading involves risk. These tools should be used for education and as part of a comprehensive trading plan that includes strict risk management.

What does "non-repainting" mean?
A non-repainting indicator means that once a bar closes and a signal appears, that signal will not change or disappear in the future. This is crucial for reliable backtesting and execution. All strategies mentioned here are designed to be non-repainting.

Can I use these strategies on any market?
While many are adaptable, most are optimized for specific markets. For example, the SOXL Trend Surge is designed for leveraged ETFs, while the Aftershock Playbook is for equities. Always check the strategy's description for its intended use and test it extensively on your chosen asset.

Why is a trend filter important in a mean-reversion strategy?
A trend filter, like an EMA, prevents you from taking counter-trend reversal trades. For example, a mean-reversion buy signal in a strong downtrend is often a trap. A filter ensures you are only taking reversals that are aligned with the broader higher-timeframe trend, increasing the probability of success. 👉 Get advanced methods