Professor Algo Strategy-26

I made this Strategy-26 is a price-action–based trading strategy focused on market structure, supply and demand zones, and trend confirmation. The strategy is designed to provide structured and rule-based trade signals while maintaining non-repainting behavior on historical data.

It combines swing-based structure analysis with adaptive moving averages and higher-timeframe bias to support both discretionary and systematic trading styles.

Automatic identification of supply and demand zones using swing highs and lows

Break of Structure (BOS) detection when price invalidates a zone

Non-repainting logic for reliable backtesting

Adaptive moving average crossover signals (ALMA, Hull MA, TEMA)

Optional higher-timeframe trend confirmation

Clear buy and sell signals plotted on the chart

Compatible with TradingView’s strategy backtesting engine

How the Strategy Works

Market structure is derived from pivot-based swing points.
Supply zones are created from significant swing highs, while demand zones are created from swing lows.
When price breaks a zone, it is marked as a Break of Structure, indicating a possible change in market direction.

Trade signals are generated when the selected moving average crosses in the direction of the prevailing trend. Higher-timeframe bias and momentum filters are used to reduce low-quality signals.

How to Use

This strategy can be applied to liquid markets such as Forex, cryptocurrencies, indices, and commodities.

Recommended timeframes:

Intraday trading: 5-minute to 15-minute charts

Swing trading: 30-minute to 1-hour charts

For best results, use supply and demand zones as contextual levels and trade in alignment with the higher-timeframe trend.

Risk Management

The strategy supports configurable stop-loss and take-profit settings. Pyramiding is disabled by default to control risk exposure. Users should always apply proper position sizing and risk management techniques.

Disclaimer

This script is provided for educational and research purposes only. It does not constitute financial advice. Trading involves risk, and past performance does not guarantee future results. Always test strategies using paper trading before applying them to live markets.