多因子に基づいた定量的な傾向戦略
作者: リン・ハーンチャオチャン開催日:2024年01月12日 11:09:40タグ:
概要
この戦略は,取引量,変動,閉値ポジション,トレンドなどなどの要因を包括的に考慮し,取引機会を特定する.これは典型的な多要素定量戦略に属します.
戦略原則
この戦略の主な考え方は,取引量,閉店ポジション,変動幅,その他の要因における異常突破を組み合わせてエントリーとアウトプット点を特定することです.
戦略は,特定の期間の平均取引量を計算する.当期の取引量が異常な突破を示した場合,トレンド逆転を示唆する可能性があります.また,閉じる価格が変動範囲の上限または下限に近い場合,また,潜在的なトレンド逆転を意味しています.取引量と閉じるポジションを組み合わせることで,潜在的なエントリーと出口ポイントを最初判断することができます.
この戦略は,取引シグナルを検証するために,波動範囲も考慮に入れる.現在の波動性が期間中の平均レベルを突破した場合,それは取引シグナルの最初の条件を形成する.次に,アップバーの閉じる価格がボリタリティ範囲の下半部分に減少すると,セールシグナルが生成される.逆に,ダウンバーの閉じる価格がボリタリティ範囲上半部分に減少すると,購入シグナルが生成される.
さらに,この戦略は,全体的な傾向を決定するために移動平均を使用します. 中長期の傾向の逆転も,取引信号の生成の条件として機能します.
この戦略は上記の指標を統合することで,市場への入口と出口を効果的に特定することができます.
利点
この戦略の最大の利点は,意思決定のために複数の要因を考慮し,取引信号をより信頼性のあるものにするということです.主な利点は:
- トレンド逆転の兆候を早期に検出する
- 短期的な騒音を避けるため,波動範囲と閉店ポジションによって実際のトレンドを決定する.
- 中長期移動平均をチェックすることで 戦略を主要動向に合わせる
- 複数の側面からシグナルを検証することで損失を減らす
リスク
この戦略にはいくつかのリスクがあります
- 複数の要素でパラメータを最適化するために複雑です
- 偽信号を完全に回避できない.
- 誤った主要なトレンド判断は 全体的な業績に悪影響を及ぼします
- 変動パラメータは 変動する市場環境に応じて 調整する必要があります
オプティマイゼーションの方向性
この戦略を最適化できる主な側面は:
- 機械学習モデルを使って パーマータを自動調整します
- リスク制御にストップ・ロスのメカニズムを追加します
- 主要な傾向を決定するために 資金の流れのようなより多くの要因を統合します
- 適応性波動性パラメータを設計する
結論
この戦略は,様々な要因を考慮して取引機会を特定する.利点は包括的なシグナルメカニズムと安定したパフォーマンスにあるが,主なリスクはパラメータ調整と不正確な主要なトレンド予測から生じる.機械学習のようないくつかの技術は,将来的にさらなる最適化のために適用できる.全体的に言えば,これは健全な論理性と有望な実用的なパフォーマンスを持つ戦略である.
/*backtest
start: 2023-12-12 00:00:00
end: 2024-01-11 00:00:00
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=3
strategy("volume spread analysis ", overlay=true)
volavg = sma(volume,40)
c= close
l=low
h=high
v=volume
volmean = stdev(volavg,30)
volupband3 = volavg + 3*volmean
volupband2 = volavg + 2*volmean
volupband1 = volavg + 1*volmean
voldnband1 = volavg -1*volmean
voldnband2 = volavg -2*volmean
midprice = (high+low)/2
spread = (high-low)
avgspread = sma(spread,80)
avgspreadbar = spread > avgspread
widerangebar = spread>(1.5*avgspread)
narrowrangebar = spread<(0.7*avgspread)
lowvolume = volume<volume[1] and volume<volume[2]
upbar = close>close[1]
downbar = close<close[1]
highvolume = volume>volume[1] and volume[1]>volume[2]
closefactor = close-low
clsposition = spread/closefactor
closeposition = iff(closefactor==0,avgspread,clsposition)
vb = volume>volavg or volume>volume[1]
upclose = close>=((spread*0.7)+low)// close is above 70% of the bar
downclose = close<=((spread*0.3)+low)// close is below the 30% of the bar
aboveclose = close>((spread*0.5)+low)// close is between 50% and 70% of the bar
belowclose = close<((spread*0.5)+low)// close is between 50% and 30% of the bar
midclose = close>((spread*0.3)+low) and c<((spread*0.7)+l)// close is between 30% and 70% of the bar
verylowclose = closeposition>4//close is below 25% of the bar
veryhighclose = closeposition<1.35// close is above 80% of the bar
closepos = iff(close<=((spread*0.2)+low),1,iff(close<=((spread*0.4)+low),2,iff(close<=((spread*0.6)+low),3,iff(close<=((spread*0.8)+low),4,5))))
// 1 = downclose, 2 = belowclose, 3 = midclose, 4 = aboveclose, 5 = upclose
volpos = iff(volume>volavg*2,1,iff(volume>volavg*1.3,2,iff(volume>volavg,3,iff(volume<volavg and volume>volavg*0.7,4,5))))
//// 1 = very high, 2 = high, 3 = above average, 4 = less than average, 5 = low
freshgndhi = close > highestbars(h,5)
freshgndlo = close < lowestbars(l,5)
//========================trend estimation =========================
//jtrend=sma(close,5)
//trendlongterm = linreg(jtrend,40)
//trendmediumterm = linreg(jtrend,10)
//trendshortterm = linreg(jtrend,3)
//tls=linreg(jtrend,3)
minperiodsrwist = input(title="short term min periods", defval=2, minval=1)
maxperiodsrwist = input(title="short term max periods", defval=8, minval=1)
minperiodsrwilt = input(title="long term min periods", defval=10, minval=1)
maxperiodsrwilt = input(title="long term max periods", defval=40, minval=1)
rwhmins = (high - nz(low[minperiodsrwist])) / (atr(minperiodsrwist) * sqrt(minperiodsrwist))
rwhmaxs = (high - nz(low[maxperiodsrwist])) / (atr(maxperiodsrwist) * sqrt(maxperiodsrwist))
rwhs = max( rwhmins, rwhmaxs )
rwlmins = (nz(high[minperiodsrwist]) - low) / (atr(minperiodsrwist) * sqrt(minperiodsrwist))
rwlmaxs = (nz(high[maxperiodsrwist]) - low) / (atr(maxperiodsrwist) * sqrt(maxperiodsrwist))
rwls = max( rwlmins, rwlmaxs )
rwhminl = (high - nz(low[minperiodsrwilt])) / (atr(minperiodsrwilt) * sqrt(minperiodsrwilt))
rwhmaxl = (high - nz(low[maxperiodsrwilt])) / (atr(maxperiodsrwilt) * sqrt(maxperiodsrwilt))
rwhl = max( rwhminl, rwhmaxl )
rwlminl = (nz(high[minperiodsrwilt]) - low) / (atr(minperiodsrwilt) * sqrt(minperiodsrwilt))
rwlmaxl = (nz(high[maxperiodsrwilt]) - low) / (atr(maxperiodsrwilt) * sqrt(maxperiodsrwilt))
rwll = max( rwlminl, rwlmaxl )
ground = rwhs
sky = rwls
j = rwhs-rwls
k = rwhl-rwll
j2 = rwhl
k2 = rwll
ja = cross(j,1)
jb = cross(1,j)
jc = cross(-1,j)
jd = cross(j,-1)
j2a = cross(j2,1)
j2b = cross(1,j2)
k2a = cross(k2,1)
k2b = cross(1,k2)
upmajoron = j > 1 and ja[1]
upmajoroff = j < 1 and jb[1]
upminoron = j2 > 1 and j2a[1]
upminoroff = j2 < 1 and j2b[1]
dnmajoron = j < -1 and jc[1]
dnmajoroff = j > -1 and jd[1]
dnminoron = k2 > 1 and k2a[1]
dnminoroff = k2 < 1 and k2b[1]
upimd = iff(ground > 1, 1,0)
dnimd = iff(sky > 1, 1, 0)
upmajor = iff(j>1,1,iff(j<(-1),-1,0))
upminor = iff(j2>1,1,-1)
dnminor = iff(k2>1,1,-1)
//======================================================================|
Buy_stop = lowest(low[1],5) - atr(20)[1]
plot(Buy_stop, color=red, title="buy_stoploss")
Sell_stop = highest(high[1],5) + atr(20)[1]
plot(Sell_stop, color=green, title="sell_stoploss")
//======================================================================|
//upthrustbar = widerangebar and downclose and upimd==1 and high>high[1] //wrb and uhs and fresh ground
nut = widerangebar and downclose and freshgndhi and highvolume // new signal
bc = widerangebar and aboveclose and volume == highest(volume,60) and upmajor==1 // new signal
upthrustbar = widerangebar and (closepos==1 or closepos==2) and upminor>0 and high>high[1] and (upimd>0or upmajor>0) and volpos <4// after minor up trend
upthrustbartrue = widerangebar and closepos==1 and upmajor>0 and high>high[1] and volpos <4//occurs after a major uptrend
upthrustcond1 = upthrustbar[1] and downbar and not narrowrangebar
upthrustcond2 = upthrustbar[1] and downbar and volpos == 2
upthrustcond3 = upthrustbar and volpos ==1
toprevbar = volume[1]>volavg and upbar[1] and widerangebar[1] and downbar and downclose and widerangebar and upmajor>0 and high==highest(high,10)
pseudoupthrust = upbar[1] and high>high[1] and volume[1]>1.5*volavg and downbar and downclose and not upthrustbar
pseudoutcond = pseudoupthrust[1] and downbar and downclose and not upthrustbar
trendchange = upbar[1] and high==highest(high,5) and downbar and (downclose or midclose) and volume>volavg and upmajor>0 and upimd>0 and not widerangebar and not pseudoupthrust
nodemandbarut = upbar and narrowrangebar and lowvolume and closepos> 3 and ((upminor>0 and upimd>0)or (upminor<0 and upminor>0))//in a up market
nodemandbardt = upbar and narrowrangebar and lowvolume and closepos> 3 and (upminor<=0or upimd<=0)// in a down or sidewayss market
nosupplybar = downbar and narrowrangebar and lowvolume and closepos<3 and ((upminor<1 and upimd<1)or (upminor>0 and upimd<1))
lowvoltest = low==lowest(low,5) and upclose and lowvolume//lowvolume and l<low[1] and upclose
lowvoltest1 = low==lowest(low,5) and volume<volavg and low<low[1] and upclose and upminor>0 and upmajor>0// and widerangebar
lowvoltest2 = lowvoltest[1] and upbar and upclose
sellcond1 = (upthrustcond1 or upthrustcond2 or upthrustcond3)
sellcond2 = sellcond1[1]==0
sellcond = sellcond1 and sellcond2
strengthdown0 = upmajor<0 and volpos<4 and downbar[1] and upbar and closepos>3 and upminor<0 and upimd<=0// strength after a long down trend
strengthdown = volpos<4 and downbar[1] and upbar and closepos>3 and upimd<=00 and upminor<0// strength after a down trend
strengthdown1 = upmajor<0 and volume>(volavg*1.5) and downbar[1] and upbar and closepos>3 and upminor<0 and upimd<=0//strength after downtrend . high volume
strengthdown2 = upimd<=0 and volume[1]<volavg and upbar and veryhighclose and volpos<4
buycond1 = strengthdown or strengthdown1
buycond = upbar and buycond1[1]
stopvolume = low==lowest(low,5) and (upclose or midclose) and v>1.5*volavg and upmajor<0
revupthrust = upmajor<0 and upbar and upclose and volume>volume[1] and volume>volavg and widerangebar and downbar[1] and downclose[1] and upminor<0
effortup = high>high[1] and low>low[1] and close>close[1] and close>=((high-low)*0.7+low) and spread>avgspread and volpos<4//and open<=((high-low)*0.3+low)
effortupfail = effortup[1] and (upthrustbar or upthrustcond1 or upthrustcond2 or upthrustcond3 or (downbar and avgspreadbar))
effortdown = high<high[1] and low<low[1] and close<close[1] and close<=((high-low)*0.25+low) and widerangebar and volume>volume[1]//o>=((high-low)*0.75+
effortdownfail = effortdown[1] and ((upbar and avgspreadbar)or revupthrust or buycond1)
upflag = (sellcond or buycond or effortup or effortupfail or stopvolume or effortdown or effortdownfail or revupthrust or nodemandbardt or nodemandbarut or nosupplybar or lowvoltest or lowvoltest1 or lowvoltest2 or bc)
bullbar = (volume>volavg or volume>volume[1]) and closeposition <2 and upbar and not upflag
bearbar = vb and downclose and downbar and spread>avgspread and not upflag
buy = (upbar and revupthrust[1])or lowvoltest2
burely = strengthdown1 and stopvolume[1]or (upbar and revupthrust[1])or lowvoltest2
//buy = effortup and lowvoltest2[1]
//sell = upthrustbartrue
sell = effortup[1] and effortupfail and upthrustcond3 and upthrustbartrue and toprevbar
strategy.entry("simpleBuy", strategy.long, when= (upbar and revupthrust[1])or lowvoltest2 )
strategy.close("simpleBuy",when=upthrustbartrue )
//strategy.entry("simpleSell", strategy.short,when= upthrustbartrue )
//strategy.close("simpleSell",when= (upbar and revupthrust[1])or lowvoltest2)
//|============================================================================================|
//data = close >= open
//plotshape(true, style=shape.flag, color=data ? green : red)
plotshape((upthrustbar or upthrustbartrue) ,title="upthrustbaro" ,style=shape.arrowdown ,size=size.huge,color=red )
//plotshape(toprevbar ,title="toprevbar" ,style=shape.flag ,size=size.small,color=blue )
//plotshape((pseudoupthrust) ,title="(pseudoupthrus" ,style=shape.circle ,size=size.small,color=blue )
//plotshape((upthrustcond1 or upthrustcond2) ,title="upthrustcond1" ,style=shape.triangleup ,size=size.small,color=red )
plotshape(trendchange ,title="trendchange" ,style=shape.xcross ,size=size.small,color=red )
//plotshape((nodemandbardt) ,title="(nodemandbardt" ,style=shape.square ,size=size.small,color=orange )
//plotshape(nosupplybar ,title="nosupplybar" ,style=shape.cross ,size=size.small,color=blue)
plotshape(revupthrust ,title="revupthrust" ,style=shape.arrowup ,size=size.huge,color=green )
//plotshape((upthrustbar or upthrustbartrue) ,title="upthrustbaro" ,style=shape.cross ,size=size.small,color=red )
//plotshape((upthrustcond1 or upthrustcond2) ,title="upthrustcond1" ,style=shape.triangledown ,size=size.small,color=white )
//plotshape((pseudoupthrust) ,title="(pseudoupthrus" ,style=shape.arrowup ,size=size.small,color=blue )
//plotshape(nodemandbarut ,title="nodemandbarut" ,style=shape.labelup ,size=size.small,color=orange )
//plotshape(nodemandbarut ,title="nodemandbarut" ,style=shape.labeldown ,size=size.small,color=yellow )
//plotshape(nodemandbardt ,title="nodemandbardt" ,style=shape.diamond ,size=size.small,color=yellow )
//plotshape(nosupplybar ,title="nosupplybar" ,style=shape.xcross ,size=size.small,color=blue )
plotshape(lowvoltest ,title="lowvoltest" ,style=shape.triangleup ,size=size.small,color=blue )
//plotshape(lowvoltest2 ,title="lowvoltest2" ,style=shape.triangledown ,size=size.small,color=yellow )
//plotshape(strengthdown ,title="strengthdown" ,style=shape.flag ,size=size.small,color=green)
//plotshape(strengthdown ,title="strengthdown" ,style=shape.circle ,size=size.small,color=lime )
//plotshape(strengthdown2 ,title="strengthdown2" ,style=shape.arrowup ,size=size.small,color=silver )
//plotshape(strengthdown2 ,title="strengthdown2" ,style=shape.arrowdown ,size=size.small,color=red )
//plotshape(stopvolume ,title="stopvolume" ,style=shape.labelup ,size=size.small,color=green )
//plotshape(stopvolume ,title="stopvolume" ,style=shape.labeldown ,size=size.small,color=yellow )
plotshape(effortup ,title="effortup" ,style=shape.diamond ,size=size.small,color=lime )
plotshape(effortupfail ,title="effortupfail" ,style=shape.xcross ,size=size.small,color=blue )
//plotshape(effortupfail ,title="effortupfail" ,style=shape.cross ,size=size.small,color=white )
plotshape(effortdown ,title="effortdown" ,style=shape.triangledown ,size=size.small,color=red )
plotshape(effortdownfail ,title="effortdownfail" ,style=shape.xcross ,size=size.small,color=green )
//plotshape(effortdownfail ,title="effortdownfail" ,style=shape.flag ,size=size.small,color=white )
//plotshape(buycond ,title="buycond" ,style=shape.circle ,size=size.small,color=green )
//plotshape(sellcond ,title="sellcond" ,style=shape.arrowup ,size=size.small,color=orange )
//plotshape((nut) ,title="(nut)" ,style=shape.arrowdown ,size=size.small,color=lime )
//plotshape((bc ) ,title="(bc" ,style=shape.labelup ,size=size.small,color=red )
//plotshape(buy ,title="buy" ,style=shape.labeldown ,size=size.small,color=white )
もっと
- トールパワー・トレード戦略
- 黄金の価値の日々の移動平均追跡戦略
- 多期移動平均値と取引時間の組み合わせ 定量的な取引戦略
- マックドに基づいた多期取引戦略
- 熊の力追跡戦略
- 複数の指標に基づく取引戦略の傾向
- 20/50 EMA クロス と スウィング 取引 戦略
- ダイナミック・トレンド・トラッキング 最適化された戦略
- ストカスティック指標と組み合わせた二重移動平均戦略
- 移動平均値と平均値の真の範囲に基づいたトレンド追跡戦略
- デリバティブベースの取引戦略
- MACD ロングのみ戦略
- 移動平均のクロスオーバートレンド戦略
- SMAクロスオーバーに基づく量的な取引戦略
- トレイリングストップ損失戦略
- サポートとレジスタンスの戦略,ボリューム・ブレイクとストップ・ロスの追跡
- ポイントをベースにしたストップ・ロスの戦略を移動する 利益とストップ・ロスのポイント
- % トレイリングストップ損失戦略
- 双動平均クロスオーバーとブル・ベア・パワーバランスの組み合わせ戦略
- シンプルな保有者戦略