Overview

This strategy identifies market trend direction based on the crossover of TEMA indicator across multiple timeframes, and uses TEMA crossover in lower timeframe to find specific entry and exit points. The strategy can be configured for long only, short only or both directions.

Strategy Logic

The strategy employs two TEMA indicators, one with fast and slow line based on 5 and 15 periods, the other based on user-defined higher timeframe such as daily or weekly. The crossover of higher timeframe TEMA determines overall trend bias, with fast line crossing above slow line indicating bullish view, and below indicating bearish view. The lower timeframe TEMA crossover is used to find concrete entry and exit timing.

When higher timeframe TEMA fast line crosses above slow line, a long entry can be triggered when lower timeframe TEMA fast line crosses above slow line; An exit signal is given when fast line crosses below slow line. Similarly, when higher timeframe fast line drops below slow line, a short entry is triggered on lower timeframe TEMA bearish crossover and exit when a bullish crossover happens.

Advantages

1. Based on TEMA crossover, avoids noise interference
2. Multi timeframe design combines high and lower cycles, improving accuracy
3. Flexible configuration for long only, short only or both directions
4. Simple rules, easy to understand and implement

Risk Analysis

1. TEMA has lagging effect, may miss initial price change
2. Short term corrections on higher TF may cause unnecessary reverse trades
3. Improper higher TF setting fails to reflect real trend
4. Improper lower TF setting increases stop loss risk

Risk Solutions:

1. Fine tune TEMA parameters for balance
2. Relax stop loss margin moderately
3. Optimize high low cycle settings
4. Test parameter robustness across products

Enhancement Opportunities

1. Dynamically adjust TEMA parameters for sensitivity optimization
2. Add momentum filter to avoid missing trends
3. Add volatility index for dynamic stop loss sizing
4. Machine learning for parameter optimization

Summary

The strategy overall is simple and clear in logic, identifying trend bias via TEMA crossover on multiple timeframes, and relying on additional crossover on lower TF to time entries. It has certain merits while also has some space for improvements. On the whole, it provides valuable reference for quant trading practices.