Multi-Indicator Trend Tracking Strategy
Overview
The strategy is named Multi-Indicator Trend Tracking Strategy. It utilizes multiple indicators including Fisher Transform, Weighted Moving Average (WMA), Relative Strength Index (RSI) and On-Balance Volume (OBV) to determine the trend direction of the market and track the trend for trading.
Strategy Logic
- Fisher Transform to detect price change trend and momentum. Trading signals are generated when four Fisher lines change color synchronously .
- WMA to determine the major trend direction. RSI filters out fake signals.
- OBV to confirm the trend.
Specifically, Fisher Transform contains four lines - 1x, 2x, 4x and 8x. When four lines turn green simultaneously, a long signal is generated. When four lines turn red simultaneously, a short signal is generated. WMA determines if the major trend is bullish or bearish. OBV confirms the trend direction. RSI filters out false signals.
Advantage Analysis
The advantages of this strategy:
- Fisher Transform is momentum-sensitive, when four Fisher lines change color synchronously, it ensures a high probability of trend reversal.
- WMA determines the major trend to avoid trading against the trend.
- OBV confirms the real trend, avoids false breakout in trendless market.
- RSI filters out false signals to ensure reliability of trading signals.
Through the combination of multiple indicators, it ensures accuracy and reliability of trading signals and capable of catching trends, leading to good strategy performance.
Risk Analysis
Risks of this strategy:
- Fisher lines may generate false signals if market is in consolidation. RSI helps filter out false signals in this case.
- Improper WMA parameter setting may impact trend accuracy.
- Fisher Transform does not perform well in ultra short-term trends.
- Waterfall decline can lead to huge losses.
To mitigate the risks, RSI parameter can be adjusted accordingly. WMA period can be optimized. Stop loss can also be set to avoid huge losses.
Optimization Directions
This strategy can be further optimized from the following aspects:
- Test the effectiveness across different timeframes to find the optimal parameter combination.
- Add stop loss mechanism. Set stop loss when loss reaches a certain level.
- Further adjust Fisher Transform parameters based on backtest results to find the optimal parameter combination with best accuracy.
- Attempt to add other filtering indicators such as strength index, bias index etc.
- Test different strategies for setting position sizing.
Conclusion
This strategy integrates Fisher Transform, WMA, OBV and RSI to determine the trend direction. It generates precise trading signals with strong confirmation capability, allowing to effectively lock in profits along the trend. With further parameter optimization, profit factor can be improved. In conclusion, through the combination of multiple indicators, this strategy effectively tracks the trend with good performance.
/*backtest
start: 2022-12-20 00:00:00
end: 2023-12-26 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=5
//author Sdover0123
strategy(title='FTR, WMA, OBV & RSI Strat', shorttitle='FTR WMA, OBV, RSI',overlay=false, default_qty_type=strategy.percent_of_equity, initial_capital = 100, default_qty_value=100, commission_value = 0.06, pyramiding = 3)
Len = input.int(10, minval=1, group ="Fisher Transform")- 1