Overview

This strategy combines multiple technical indicators to generate more precise and reliable trading signals. It consists of two parts: the first part uses 123 reversal strategy, and the second part uses TEMA indicator. The trading signals generated by both are combined to filter out wrong signals and improve signal quality.

Strategy Logic

The first part uses 123 reversal strategy. It is based on the stochastic indicator. When the closing price shows reversal for two consecutive days (e.g. turning from rise to fall), and the stochastic indicator shows overbought or oversold signal, it generates buy or sell signals.

Specifically, when the closing price is higher than the previous day's and the stochastic slow line is below 50, it generates a buy signal. When the closing price is lower than the previous day's and the stochastic fast line is above 50, it generates a sell signal.

The second part uses the TEMA indicator. TEMA stands for Triple Exponential Moving Average, and is calculated as:

TEMA = 3EMA(CLOSE, N) - 3EMA(EMA(CLOSE, N), N) + EMA(EMA(EMA(CLOSE, N), N), N)

Where N is the parameter length. If closing price is above TEMA value, it generates a buy signal. If closing price is below TEMA value, it generates a sell signal.

Finally, the signals from the two indicators are combined. Only when both indicators generate consistent signals (both buy or both sell), actual trading signals are generated.

Advantages

• Combining multiple indicators helps filter out some wrong signals and improves signal quality.
• 123 reversal strategy avoids chasing high prices and panic selling by reacting to actual price reversals.
• TEMA's multiple smoothing reduces noise and generates more reliable signals.
• Combining two different types of indicators largely ensures the reliability of trading signals.

Risks and Improvement

• Reversal strategies have inherent risks of missing major upward trends in a bull market. Fine tuning parameters could reduce missing out probability.
• TEMA as a trend following indicator can also generate wrong signals sometimes. Adjusting TEMA parameters could optimize indicator sensitivity.
• If parameters are improperly set, both indicators could generate too few signals. Parameters need to be tuned for proper trade frequency.
• Adding filters to disable strategies in certain market environments could help control risks.

Summary

This strategy improves signal quality through reasonable combination of multiple indicators, making it a very effective quantitative trading strategy. But risk management is still needed, like fine tuning parameters or adding other components for optimization, so that the strategy can keep stable performance across different markets.