この戦略は,2つの量化取引戦略の組み合わせで,より正確な信頼性の高い取引シグナルを生成することを目的としています.最初の戦略は価格反転に基づいており,第二の戦略は取引量分析に基づいています.組み合わせのシグナルは,利益の確率を効果的に向上させます.
この戦略は2つの部分から構成されています.
STO指数を使用して逆転信号を判断する. 2日間の閉盘価格が上昇し,STOスローラインが50を下回ったときに多行; 2日間の閉盘価格が低下し,STOスローラインが50を超えたときに空行する.
周期内での取引量と価格の関係を計算し,多空方向を判断し,均線平滑処理を行う.
この2つの戦略は,多ければ多,空ければ空である.
組合せ信号は信号の質を向上させ,いずれの戦略も偽信号の発生確率を大幅に低減する.
リスクは以下の方法で軽減できます.
この戦略は以下の点で最適化できます.
K値,D値などのパラメータを調整して最適の組み合わせを見つける
MACD,BOLLなどの指標の補助判断
異なる周期パラメータをテストすることで,より安定した判断が得られます.
例えば 変形が起きた時に再入場
異なる品種のパラメータは必ずしも同じではないので,別々にテストする必要があります.
この戦略は,反転と交差量の2つの異なるタイプの戦略を組み合わせて,相互検証することで,信号の質と正確性を効果的に向上させることができる.しかし,パラメータ最適化,補助技術指標などの戦略効果を改善するために,注意が必要である.私たちは,リターン結果を継続的にテストし,パラメータルールを調整し,実用で検証することで,真に安定した信頼性の高い組み合わせの戦略を得ることができます.これは多くの時間と精力を投入する必要がありますが,リターンも顕著になります.
/*backtest
start: 2023-09-13 00:00:00
end: 2023-09-20 00:00:00
period: 15m
basePeriod: 5m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=4
////////////////////////////////////////////////////////////
// Copyright by HPotter v1.0 21/10/2020
// This is combo strategies for get a cumulative signal.
//
// First strategy
// This System was created from the Book "How I Tripled My Money In The
// Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
// The strategy buys at market, if close price is higher than the previous close
// during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
// The strategy sells at market, if close price is lower than the previous close price
// during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
//
// Second strategy
// This is another version of FVE indicator that we have posted earlier
// in this forum.
// This version has an important enhancement to the previous one that`s
// especially useful with intraday minute charts.
// Due to the volatility had not been taken into account to avoid the extra
// complication in the formula, the previous formula has some drawbacks:
// The main drawback is that the constant cutoff coefficient will overestimate
// price changes in minute charts and underestimate corresponding changes in
// weekly or monthly charts.
// And now the indicator uses adaptive cutoff coefficient which will adjust to
// all time frames automatically.
//
// WARNING:
// - For purpose educate only
// - This script to change bars colors.
////////////////////////////////////////////////////////////
Reversal123(Length, KSmoothing, DLength, Level) =>
vFast = sma(stoch(close, high, low, Length), KSmoothing)
vSlow = sma(vFast, DLength)
pos = 0.0
pos := iff(close[2] < close[1] and close > close[1] and vFast < vSlow and vFast > Level, 1,
iff(close[2] > close[1] and close < close[1] and vFast > vSlow and vFast < Level, -1, nz(pos[1], 0)))
pos
FVI(Samples,Perma,Cintra,Cinter) =>
pos = 0
xhl2 = hl2
xhlc3 = hlc3
xClose = close
xIntra = log(high) - log(low)
xInter = log(xhlc3) - log(xhlc3[1])
xStDevIntra = stdev(sma(xIntra, Samples) , Samples)
xStDevInter = stdev(sma(xInter, Samples) , Samples)
xVolume = volume
TP = xhlc3
TP1 = xhlc3[1]
Intra = xIntra
Vintra = xStDevIntra
Inter = xInter
Vinter = xStDevInter
CutOff = Cintra * Vintra + Cinter * Vinter
MF = xClose - xhl2 + TP - TP1
FveFactor = iff(MF > CutOff * xClose, 1,
iff(MF < -1 * CutOff * xClose, -1, 0))
xVolumePlusMinus = xVolume * FveFactor
Fvesum = sum(xVolumePlusMinus, Samples)
VolSum = sum(xVolume, Samples)
xFVE = (Fvesum / VolSum) * 100
xEMAFVE = ema(xFVE, Perma)
pos :=iff(xFVE > xEMAFVE, 1,
iff(xFVE < xEMAFVE, -1, nz(pos[1], 0)))
pos
strategy(title="Combo Backtest 123 Reversal & Volatility Finite Volume Elements", shorttitle="Combo", overlay = true)
Length = input(14, minval=1)
KSmoothing = input(1, minval=1)
DLength = input(3, minval=1)
Level = input(50, minval=1)
//-------------------------
Samples = input(22, minval=1)
Perma = input(40, minval=1)
Cintra = input(0.1)
Cinter = input(0.1)
reverse = input(false, title="Trade reverse")
posReversal123 = Reversal123(Length, KSmoothing, DLength, Level)
posFVI = FVI(Samples,Perma,Cintra,Cinter)
pos = iff(posReversal123 == 1 and posFVI == 1 , 1,
iff(posReversal123 == -1 and posFVI == -1, -1, 0))
possig = iff(reverse and pos == 1, -1,
iff(reverse and pos == -1 , 1, pos))
if (possig == 1)
strategy.entry("Long", strategy.long)
if (possig == -1)
strategy.entry("Short", strategy.short)
if (possig == 0)
strategy.close_all()
barcolor(possig == -1 ? #b50404: possig == 1 ? #079605 : #0536b3 )