The strategy is named “RSI Dual-track Breakthrough Strategy”. It utilizes the dual tracks of the RSI indicator for judgment to achieve the goal of buy low and sell high. When the RSI indicator falls below the set lower track (default 40), it is considered as a buy signal. At this time, if RSI10 is less than RSI14, it further confirms the buy; When the RSI indicator rises above the set upper track (default 70), it is considered as a sell signal. At this time, if RSI10 is greater than RSI14, it further confirms the sell. The strategy also sets the mechanisms of moving stop loss and take profit.
The core logic of this strategy is to use the dual tracks of the RSI indicator for judgment. The RSI indicator is generally set to 14 periods, representing the strength and weakness of the stock in recent 14 days. This strategy adds RSI10 as an auxiliary judgment indicator.
When the RSI14 breaks below the 40 track, it is believed that the stock price has broken through the weak side and there may be a chance of support rebound. At this time, if RSI10 is less than RSI14, it means that the short-term trend is still downward, which can further confirm the sell signal. So when “RSI14 <= 40 and RSI10 <RSI14” is met, a buy signal is generated.
When RSI14 breaks above the 70 track, it is believed that the stock price has entered a short-term strong area and there may be a chance for a pullback adjustment. At this time, if RSI10 is greater than RSI14, it means the short-term trend continues upward, which can further confirm the buy signal. So when “RSI14 >= 70 and RSI10> RSI14” is met, a sell signal is generated.
Thus, the combination judgment of RSI14 and RSI10 constitutes the core logic of the dual-track strategy.
To fully utilize this strategy, RSI parameters can be adjusted properly, stop loss position should be strictly controlled, avoid over-frequent operations, and pursue steady profitability.
This strategy makes judgment based on the dual-track idea of RSI and filters out some noisy signals to some extent. But no single indicator strategies can be perfect, RSI indicator is prone to mislead and should be viewed cautiously. This strategy incorporates moving stop loss and take profit mechanisms to control risks, which is essential. Future optimizations could be continued to make strategy parameters and stop loss methods more intelligent and dynamic.
/*backtest start: 2023-12-31 00:00:00 end: 2024-01-07 00:00:00 period: 1m basePeriod: 1m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ // This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/ // © DojiEmoji //@version=4 strategy("[KL] RSI 14 + 10 Strategy",overlay=true) backtest_timeframe_start = input(defval = timestamp("01 Jan 2015 13:30 +0000"), title = "Backtest Start Time", type = input.time) //backtest_timeframe_end = input(defval = timestamp("19 Mar 2021 19:30 +0000"), title = "Backtest End Time", type = input.time) TARGET_PROFIT_MODE = input(false,title="Exit when Risk:Reward met") REWARD_RATIO = input(3,title="Risk:[Reward] (i.e. 3) for exit") // Trailing stop loss { TSL_ON = input(true,title="Use trailing stop loss") var entry_price = float(0) ATR_multi_len = 26 ATR_multi = input(2, "ATR multiplier for stop loss") ATR_buffer = atr(ATR_multi_len) * ATR_multi plotchar(ATR_buffer, "ATR Buffer", "", location = location.top) risk_reward_buffer = (atr(ATR_multi_len) * ATR_multi) * REWARD_RATIO take_profit_long = low > entry_price + risk_reward_buffer take_profit_short = low < entry_price - risk_reward_buffer var bar_count = 0 //number of bars since entry var trailing_SL_buffer = float(0) var stop_loss_price = float(0) stop_loss_price := max(stop_loss_price, close - trailing_SL_buffer) // plot TSL line trail_profit_line_color = color.green showLine = strategy.position_size == 0 if showLine trail_profit_line_color := color.black stop_loss_price := close - trailing_SL_buffer plot(stop_loss_price,color=trail_profit_line_color) // } // RSI RSI_LOW = input(40,title="RSI entry") RSI_HIGH = input(70,title="RSI exit") rsi14 = rsi(close, 14) rsi10 = rsi(close, 10) if true// and time <= backtest_timeframe_end buy_condition = rsi14 <= RSI_LOW and rsi10 < rsi14 exit_condition = rsi14 >= RSI_HIGH and rsi10 > rsi14 //ENTRY: if strategy.position_size == 0 and buy_condition entry_price := close trailing_SL_buffer := ATR_buffer stop_loss_price := close - ATR_buffer strategy.entry("Long",strategy.long, comment="buy") bar_count := 0 else if strategy.position_size > 0 bar_count := bar_count + 1 //EXIT: // Case (A) hits trailing stop if TSL_ON and strategy.position_size > 0 and close <= stop_loss_price if close > entry_price strategy.close("Long", comment="take profit [trailing]") stop_loss_price := 0 else if close <= entry_price and bar_count strategy.close("Long", comment="stop loss") stop_loss_price := 0 bar_count := 0 // Case (B) take targeted profit relative to risk if strategy.position_size > 0 and TARGET_PROFIT_MODE if take_profit_long strategy.close("Long", comment="take profits [risk:reward]") stop_loss_price := 0 bar_count := 0 // Case (C) if strategy.position_size > 0 and exit_condition if take_profit_long strategy.close("Long", comment="exit[rsi]") stop_loss_price := 0 bar_count := 0