This strategy is based on the Wavetrend indicator and establishes long positions when the price reaches multiple oversold and overbought levels. It closes positions for profit when the price rebounds to the overbought level. This is a grid trading strategy designed to capture oversold rebound opportunities in the market, suitable for 15-minute cycles of cryptocurrencies such as Bitcoin and Solana.
The Wavetrend Large Amplitude Oversold Rebound Grid Trading Strategy is a quantitative strategy based on oversold and overbought signals. It attempts to capture rebound opportunities after a sharp fall through batch position building and automatic profit-taking, aiming to profit from the price difference. The advantage of this strategy lies in its strong adaptability and flexible parameter adjustment. However, it also faces risks such as continued market decline and improper parameter settings. In practical applications, trend filtering, dynamic positioning, profit-taking, and stop-loss optimization methods can be considered to improve the strategy’s stability and profitability. However, it still needs to be noted that this strategy is a high-risk strategy that requires strict position control and cautious use.
/*backtest start: 2024-03-25 00:00:00 end: 2024-04-24 00:00:00 period: 1h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=5 // © And Isaac, all rights reserved. If there is any piracy, please call the police immediately. strategy(title='wavetrend',shorttitle='DCA-High win rate quantitative trading') n1 = input(40,'channel length') n2 = input(60,'average length') Oblevel1 = input(40,'over bought level 1') Oblevel2 = input(50,'over bought level 1') Oblevel3 = input(70,'over bought level 1') Oblevel4 = input(80,'over bought level 1') Oblevel5 = input(100,'over bought level 2') oslevel1 = input(-40,'over sold level 1') oslevel2 = input(-45,'over sold level 1') oslevel3 = input(-50,'over sold level 1') oslevel4 = input(-55,'over sold level 1') oslevel5 = input(-65,'over sold level 1') oslevel6 = input(-75,'over sold level 1') oslevel7 = input(-85,'over sold level 1') oslevel8 = input(-100,'over sold level 2') ap = input(title="source",defval=hlc3) esa =ta.ema(ap, n1) d =ta.ema(math.abs(ap - esa),n1) ci = (ap - esa)/ (0.015 * d) tci = ta.ema(ci,n2) wt1 = tci wt2 = ta.sma(wt1, 4) plot(0,color=color.new(#787b86, 0 )) plot(Oblevel1, color=color.new(#89ff52, 53), linewidth = 2) plot(oslevel1, color=color.new(#89ff52, 53), linewidth = 2) plot(oslevel2, color=color.new(#89ff52, 53), linewidth = 2) plot(oslevel3, color=color.new(#89ff52, 53), linewidth = 2) plot(oslevel4, color=color.new(#89ff52, 53), linewidth = 2) plot(oslevel5, color=color.new(#89ff52, 53), linewidth = 2) plot(oslevel6, color=color.new(#89ff52, 53), linewidth = 2) plot(oslevel7, color=color.new(#89ff52, 53), linewidth = 2) plot(oslevel8, color=color.new(#89ff52, 53), linewidth = 2) plot(oslevel2, color=color.new(#89ff52, 53), linewidth = 2) plot(wt1, color=color.new(#ff5252,0)) plot(wt2, color=color.new(#ffffff,0)) plot(wt1 - wt2, color=color.new(#00bcd4, 30),style=plot.style_area) plot(ta.cross(wt1, wt2) ? wt2 : na, color=color.new(#ff5252,0) , style=plot.style_circles, linewidth=4 ) // barcolor(cross(wt1, wt2) ? (wt2 - wt1 > 0 ? aqua : yellow) : na) barcolor(ta.cross(wt1, wt2) ? (wt2 - wt1 > 0 ? color.new(#ffffff,0) : color.new(#89ff52, 53)) : na) ///////////// Long1 = wt2 < oslevel1 and wt1 < oslevel1 and wt1>wt2 and wt2 > oslevel3 and wt1>oslevel3 Long5 = wt2 < oslevel5 and wt1 < oslevel5 and wt1>wt2 and wt2 > oslevel6 and wt1>oslevel6 Long7 = wt2 < oslevel7 and wt1 < oslevel7 and wt1>wt2 and wt2 > oslevel8 and wt1>oslevel8 Long8 = wt2 < oslevel8 and wt1 < oslevel8 and wt1>wt2 LS1 = wt2 > Oblevel1 and wt1 > Oblevel1 and wt1<wt2 if Long1 strategy.entry("L",strategy.long,comment = "做多1") if Long5 strategy.entry("L",strategy.long,comment = "做5") if Long7 strategy.entry("L",strategy.long,comment = "做多7") if Long8 strategy.entry("L",strategy.long,comment = "做多8") if LS1 strategy.close("L", qty_percent = 70,comment = "平多")