
[trans]
Strategi ini menggunakan MACD dan Stoch RSI untuk menggabungkan kedua-dua indikator, membina sistem perdagangan dua hala, dan membolehkan trend mengikuti dan melampaui keputusan membeli dan membeli. Strategi ini membina penunjuk pada garisan hari dan garisan 4 jam sekaligus, dan membuat keputusan dalam pelbagai jangka masa, untuk mengurangkan kebarangkalian kesalahan.
Portfolio strategi menggunakan MACD dan Stoch RSI, dua jenis indikator teknikal yang berbeza, untuk konfigurasi. MACD adalah indikator pergerakan yang berbeza, yang menilai kelajuan perubahan harga; Stoch RSI adalah indikator overbought dan oversold, yang menilai harga yang agak kuat.
Strategi ini mula membina indikator MACD dan Stoch RSI pada garis harian dan 4 jam, untuk membuat keputusan mengenai trend dan overbought dan oversold. Apabila indikator kedua-dua tempoh masa mengeluarkan isyarat beli / jual pada masa yang sama, lakukan operasi beli / jual yang sesuai.
Khususnya, membina indikator MACD, garis DIF dan garis DEA membentuk garpu emas untuk membuat keputusan; membina indikator Stoch RSI, garis K dan garis D membentuk garpu emas untuk membuat keputusan. Apabila kedua-dua kumpulan indikator menghasilkan isyarat beli ketika garpu emas pada masa yang sama dan menghasilkan isyarat jual ketika garpu emas pada masa yang sama.
Dengan cara ini, strategi menggunakan pengukuran dua hala dan penilaian pelbagai jangka masa untuk menilai secara menyeluruh kelajuan perubahan harga dan kekuatan relatif, yang dapat meningkatkan ketepatan keputusan dan memperoleh hasil yang lebih baik.
Strategi ini mempunyai beberapa kelebihan:
Strategi ini juga mempunyai risiko:
Kaedah pencegahan:
Strategi ini juga boleh dioptimumkan dengan:
Strategi ini menggunakan gabungan indikator dua hala dan penilaian pelbagai kerangka masa, untuk menilai secara menyeluruh kelajuan perubahan harga dan kekuatan relatif, dapat memperoleh trend pasaran dengan berkesan, memperbaiki kekurangan penilaian salah satu indikator. Ia juga mempunyai kelebihan seperti fleksibiliti penyesuaian parameter, mudah difahami dan diperluas.
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This strategy combines the MACD and Stoch RSI indicators to build a dual-rail trading system for trend tracking and oversold/overbought judgment. The strategy also builds indicators on the daily and 4-hour timeframes to make multi-timeframe judgments to reduce misjudgment probability.
The strategy combines the MACD and Stoch RSI indicators, which are different types of technical indicators, for configuration. MACD is a momentum indicator that judges price change velocity; Stoch RSI is an overbought/oversold indicator that judges relative price strength.
The strategy first constructs the MACD and Stoch RSI indicators on the daily and 4-hour timeframes respectively for trend and overbought/oversold judgments. When signals are triggered on both timeframes, corresponding buy/sell operations are performed.
Specifically, the MACD indicator is constructed with the DIF and DEA lines forming golden/dead crosses for judgment; the Stoch RSI indicator is constructed with the K and D lines forming golden/dead crosses for judgment. When both indicator pairs have golden crosses, buy signals are generated; when both have dead crosses, sell signals are generated.
Thus, by comprehensively applying the dual-indicator system and multi-timeframe judgments, the strategy judges price velocity and relative strength thoroughly, which helps improve decision accuracy and gain better returns.
This strategy has the following advantages:
There are also some risks with this strategy:
Countermeasures:
This strategy can also be improved in the following aspects:
By combined application of the dual-indicator system and multi-timeframe judgments, this strategy judges price velocity and relative strength thoroughly, which can effectively capture market trends and improve deficiencies of single indicators. It also has advantages like flexible parameter tuning, easy understanding and expansion. Further expansions by multi-indicator combination, dynamic parameter optimization, sentiment indicator incorporation etc. can help boost strategy performance. [trans]
/*backtest
start: 2023-11-14 00:00:00
end: 2023-11-15 10:00:00
period: 3m
basePeriod: 1m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=2
strategy(title='[RS]Khizon (UWTI) Strategy V0', shorttitle='K', overlay=false, pyramiding=0, initial_capital=100000, currency=currency.USD)
// || Inputs:
macd_src = input(title='MACD Source:', defval=close)
macd_fast = input(title='MACD Fast Length:', defval=12)
macd_slow = input(title='MACD Slow Length:', defval=26)
macd_signal_smooth = input(title='MACD Signal Smoothing:', defval=9)
srsi_src = input(title='SRSI Source:', defval=close)
srsi_rsi_length = input(title='SRSI RSI Length:', defval=14)
srsi_stoch_length = input(title='SRSI Stoch Length:', defval=14)
srsi_smooth = input(title='SRSI Smoothing:', defval=3)
srsi_signal_smooth = input(title='SRSI Signal Smoothing:', defval=3)
// || Strategy Inputs:
trade_size = input(title='Trade Size in USD:', type=float, defval=1)
buy_trade = input(title='Perform buy trading?', type=bool, defval=true)
sel_trade = input(title='Perform sell trading?', type=bool, defval=true)
// || MACD(close, 12, 26, 9): ||---------------------------------------------||
f_macd_trigger(_src, _fast, _slow, _signal_smooth)=>
_macd = ema(_src, _fast) - ema(_src, _slow)
_signal = sma(_macd, _signal_smooth)
_return_trigger = _macd >= _signal ? true : false
// || Stoch RSI(close, 14, 14, 3, 3) ||-----------------------------------------||
f_srsi_trigger(_src, _rsi_length, _stoch_length, _smooth, _signal_smooth)=>
_rsi = rsi(_src, _rsi_length)
_stoch = sma(stoch(_rsi, _rsi, _rsi, _stoch_length), _smooth)
_signal = sma(_stoch, _signal_smooth)
_return_trigger = _stoch >= _signal ? true : false
// ||-----------------------------------------------------------------------------||
// ||-----------------------------------------------------------------------------||
// || Check Directional Bias from daily timeframe:
daily_trigger = security('USOIL', 'D', f_macd_trigger(macd_src, macd_fast, macd_slow, macd_signal_smooth) and f_srsi_trigger(srsi_src, srsi_rsi_length, srsi_stoch_length, srsi_smooth, srsi_signal_smooth))
h4_trigger = security('USOIL', '240', f_macd_trigger(macd_src, macd_fast, macd_slow, macd_signal_smooth) and f_srsi_trigger(srsi_src, srsi_rsi_length, srsi_stoch_length, srsi_smooth, srsi_signal_smooth))
plot(title='D1T', series=daily_trigger?0:na, style=circles, color=blue, linewidth=4, transp=65)
plot(title='H4T', series=h4_trigger?0:na, style=circles, color=navy, linewidth=2, transp=0)
sel_open = sel_trade and not daily_trigger and not h4_trigger
buy_open = buy_trade and daily_trigger and h4_trigger
sel_close = not buy_trade and daily_trigger and h4_trigger
buy_close = not sel_trade and not daily_trigger and not h4_trigger
strategy.entry('sel', long=false, qty=trade_size, comment='sel', when=sel_open)
strategy.close('sel', when=sel_close)
strategy.entry('buy', long=true, qty=trade_size, comment='buy', when=buy_open)
strategy.close('buy', when=buy_close)