Dual R Indicators Strategy
Overview
This strategy uses dual R indicators combined with SMA lines to determine trends and generate trading signals for USDJPY. The dual R indicators include Parabolic SAR trailing stop indicator and RSI overbought-oversold indicator. It judges trends and overbought-oversold situations through dual R indicators, and generates buy and sell signals with SMA lines.
Principles
The strategy mainly utilizes the following three technical indicators:
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Parabolic SAR trailing stop indicator: It shows potential stop loss points and can be used to determine price trends and potential reversal points. The code calculates and plots SAR values based on parameter settings.
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RSI overbought-oversold indicator: It judges whether prices are overbought or oversold. The code sets RSI parameters and overbought/oversold threshold values, and calculates and plots the RSI curve.
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SMA lines: It calculates and plots the 10-day and 20-day SMA lines.
Combining the three indicators, the buy and sell point logic is as follows:
Go long when close goes above 182-day SMA line, 10-day SMA crosses above 20-day SMA, and RSI breaks through 30 oversold line from below.
Go short when close goes below 182-day SMA line, 10-day SMA crosses below 20-day SMA, and RSI breaks through 70 overbought line from above.
Advantages
The strategy has the following advantages:
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Using dual R indicators to determine trend direction can effectively confirm trading signals. RSI for overbought-oversold and SAR for trend reversal work together for more reliability.
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Adding SMA filter helps avoid false breakouts. Relying solely on RSI may miss opportunities, SMA adds confidence.
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15-min timeframe captures short-term breakouts timely. For intraday trading, 15-min is optimal to capitalize on short-term trends.
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2.5 months of 15-min backtest data sufficiently validates strategy. 15-min data over 2.5 months can basically determine reliability.
Risks
There are some risks:
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Limited backtest data cannot fully represent future performance. 2.5 months is insufficient to determine long-term validity.
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RSI may give false signals, deviating from actual price moves.
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SMA has lagging effect. It reacts slower to price changes, missing good entry points.
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Intraday trading has higher risks. More impacted by news and overnight position risks.
Optimization
Some ways to optimize the strategy:
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Expand backtest timeframe to 6 months or 1 year for more sufficient validation.
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Try other indicators like KDJ, MACD to complement or replace RSI for more reliable signals.
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Optimize SMA combinations, like 5-day and 20-day, or adding longer SMAs, for more solid breakouts.
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Add stop loss mechanisms to control single trade loss, like intraday or trailing stop loss.
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Optimize take profit, like trailing stop or partial profits, to lock in more gains.
Conclusion
The strategy overall uses dual R indicators for overbought-oversold and SMA for filters to implement USDJPY intraday trading. It has advantage of catching short-term trends but also risks like insufficient backtest data. It can be further improved by expanding timeframe, optimizing parameters, adding stop loss/take profit.
/*backtest
start: 2023-09-08 00:00:00
end: 2023-10-08 00:00:00
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=3
strategy("Chrome", overlay=false, pyramiding = 1, commission_value = 0.01, currency = currency.USD, initial_capital = 1000)
// Parabolic Support And Resistance- 1