模型策略源码：
input:k(0.7,0.1,1,0.1);

dist1:=barslast(day>ref(day,1))+1;

dist2:=ref(dist1,dist1);

predayhigh:=ref(hhv(high,dist2),dist1);

predaylow:=ref(llv(low,dist2),dist1);

predayclose:=ref(close,dist1);

predayrange:=max(predayhigh-predayclose,predayclose-predaylow);

dayopen:=ref(open,dist1-1);

upperband:=dayopen+k*predayrange;

lowerband:=dayopen-k*predayrange;

if holding=0 then begin

 if high>=upperband then

  buy(1,volunit,limitr,max(open,upperband));

end

if holding=0 then begin

 if low<=lowerband then

  buyshort(1,volunit,limitr,min(open,lowerband));

end

if holding>0 then begin

 if low<=lowerband then begin

  sell(1,holding,limitr,min(open,lowerband));

  buyshort(1,volunit,limitr,min(open,lowerband));

 end

 if time>=closetime(0) then

  sell(1,holding,limitr,close);

end

if holding<0 then begin

 if high>=upperband then begin

  sellshort(1,holding,limitr,max(open,upperband));

  buy(1,volunit,limitr,max(open,upperband));

 end

 if time>=closetime(0) then

  sellshort(1,holding,limitr,close);

end

资产:asset,noaxis,colorred,linethick2;

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源码解析:

输出INPUT:K(0.7,0.1,1,0.1)
DIST1赋值:上次日>昨日日距今天数+1
DIST2赋值:DIST1日前的DIST1
PREDAYHIGH赋值:DIST1日前的DIST2日内最高价的最高值
PREDAYLOW赋值:DIST1日前的DIST2日内最低价的最低值
PREDAYCLOSE赋值:DIST1日前的收盘价
PREDAYRANGE赋值:PREDAYHIGH-PREDAYCLOSE和PREDAYCLOSE-PREDAYLOW的较大值
DAYOPEN赋值:DIST1-1日前的开盘价
UPPERBAND赋值:DAYOPEN+K*PREDAYRANGE
LOWERBAND赋值:DAYOPEN-K*PREDAYRANGE
逻辑判断 HOLDING=0 THEN BEGIN 逻辑判断 最高价>=UPPERBAND THEN  BUY(1,VOLUNIT,LIMITR,开盘价和UPPERBAND的较大值)
ENDIF HOLDING=0 THEN BEGIN 逻辑判断 最低价<=LOWERBAND THEN  BUYSHORT(1,VOLUNIT,LIMITR,开盘价和LOWERBAND的较小值)
ENDIF HOLDING>0 THEN BEGIN 逻辑判断 最低价<=LOWERBAND THEN BEGIN  SELL(1,HOLDING,LIMITR,开盘价和LOWERBAND的较小值)
  BUYSHORT(1,VOLUNIT,LIMITR,开盘价和LOWERBAND的较小值)
 END  逻辑判断 时间>=CLOSETIME(0) THEN   SELL(1,HOLDING,LIMITR,收盘价)
ENDIF HOLDING<0 THEN BEGIN 逻辑判断 最高价>=UPPERBAND THEN BEGIN  SELLSHORT(1,HOLDING,LIMITR,开盘价和UPPERBAND的较大值)
  BUY(1,VOLUNIT,LIMITR,开盘价和UPPERBAND的较大值)
 END  逻辑判断 时间>=CLOSETIME(0) THEN  SELLSHORT(1,HOLDING,LIMITR,收盘价)
输出END资产:ASSET,NOAXIS,画红色,线宽为2


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