For quantitative trading,the most important thing is the establishment of models.Generally speaking,it is to use modern statistics and mathematical methods,use computer technology to find laws that can bring excess returns from massive historical data to formulate strategies,and use mathematical models to verify and solidify these laws and strategies,and then strictly implement them through programmed trading 機(jī)器人內(nèi)置多種交易策略，從“保守-”到“激進(jìn)+”，滿足不同的風(fēng)險(xiǎn)類型。設(shè)置策略后，機(jī)器人將智能分配每次進(jìn)單的倉位和條件，嚴(yán)格執(zhí)行交易策略，交易補(bǔ)單策略，根據(jù)當(dāng)前行情，云大數(shù)據(jù)實(shí)時(shí)調(diào)整。 Calibration::Calibration(MNN::NetT*model,uint8_t*modelBuffer,const int bufferSize,const std::string&configPath) :_originaleModel(model){ //when the format of input image is RGB/BGR,channels equal to 3,GRAY is 1 int channles=3; //解析json rapidjson::Document document; {功能及詳細(xì)邏輯I35源碼7O98設(shè)計(jì)O7I8 std::ifstream fileNames(configPath.c_str()); std::ostringstream output; output<<fileNames.rdbuf(); auto outputStr=output.str(); document.Parse(outputStr.c_str()); if(document.HasParseError()){ MNN_ERROR("Invalid jsonn"); return;開發(fā)需求及案例：MrsFu123 } } auto picObj=document.GetObject(); //構(gòu)造ImageProcess::config對象,將json內(nèi)容傳入 ImageProcess::Config config; config.filterType=BILINEAR; config.destFormat=BGR; { if(picObj.HasMember("format")){ auto format=picObj["format"].GetString(); static std::map<std::string,ImageFormat>formatMap{{"BGR",BGR},{"RGB",RGB},{"GRAY",GRAY}}; if(formatMap.find(format)!=formatMap.end()){ config.destFormat=formatMap.find(format)->second; } } } if(config.destFormat==GRAY){ channles=1; } config.sourceFormat=RGBA; std::string imagePath; _imageNum=0; { if(picObj.HasMember("mean")){ auto mean=picObj["mean"].GetArray(); int cur=0; for(auto iter=mean.begin();iter!=mean.end();iter++){ config.mean[cur++]=iter->GetFloat(); } } if(picObj.HasMember("normal")){ auto normal=picObj["normal"].GetArray(); int cur=0; for(auto iter=normal.begin();iter!=normal.end();iter