This strategy uses the RSI indicator to determine overbought and oversold conditions, combined with a trend judgment system constructed with fast, medium and slow moving average lines, to identify opportunities to open long or short positions when prices are leaping.
Use RSI indicator to determine overbought and oversold conditions
Use three SMA lines of different periods to determine the trend
When fast line crosses above medium line, and RSI indicator shows oversold, go long
When fast line crosses below medium line, and RSI indicator shows overbought, go short
Stop loss is set at 4% of entry price
Profit taking is done in batches, first take profit of 20%, then take 15% as price continues to rise, exiting positions gradually
This strategy combines moving average indicators and the overbought/oversold indicator RSI. By capturing price trend changes while judging trading opportunities, it belongs to a commonly used trend tracking strategy. Further optimizations and improved win rate can be achieved through parameter testing and incorporating additional auxiliary judgment indicators.
/*backtest start: 2023-11-13 00:00:00 end: 2023-11-20 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/ // © syfuslokust //@version=4 strategy(shorttitle='CoinruleCombinedCryptoStrat',title='CoinruleCombinedCryptoStrat', overlay=true) // RSI inputs and calculations lengthRSI = 14 RSI = rsi(close, lengthRSI) //Normal oversold = input(30) overbought = input(70) //ALGO //oversold= input(26) //overbought= input(80) //sell pct SellPct = input(20) ExitPct = input(15) //MA inputs and calculations movingaverage_signal = sma(close, input(9)) movingaverage_fast = sma(close, input(50)) movingaverage_slow = sma(close, input(200)) movingaverage_mid= sma(close, input(100)) //Look Back inp_lkb = input(12, title='Lookback Long Period') inp_lkb_2 = input(2, title='Lookback Short Period') perc_change(lkb) => overall_change = ((close[0] - close[lkb]) / close[lkb]) * 100 //Entry //MA bullish = crossover(movingaverage_signal, movingaverage_fast) //Execute buy strategy.entry(id="long", long = true, when = (RSI < oversold and movingaverage_fast < movingaverage_mid)) //when = crossover(close, movingaverage_signal) and movingaverage_signal < movingaverage_slow and RSI < oversold) //Exit //RSI Stop_loss= ((input (4))/100) longStopPrice = strategy.position_avg_price * (1 - Stop_loss) //MA bearish = crossunder(movingaverage_signal, movingaverage_fast) //Execute sell strategy.close("long", qty_percent = SellPct, when = RSI > overbought and movingaverage_fast > movingaverage_mid) //when = (crossunder(low, movingaverage_signal) and movingaverage_fast > movingaverage_slow and RSI > overbought) or (movingaverage_signal < movingaverage_fast and crossunder(low, movingaverage_fast)) or (low < longStopPrice)) //PLOT plot(movingaverage_signal, color=color.black, linewidth=2, title="signal") plot(movingaverage_fast, color=color.orange, linewidth=2, title="fast") plot(movingaverage_slow, color=color.purple, linewidth=2, title="slow") plot(movingaverage_mid, color=color.blue, linewidth=2, title="mid")