ArrayCopy复制一组数组到另一组数组函数 ArrayFill以指定值填充数组数组函数 ArrayFree解放任意动态数组的缓冲 区并建立0维度大小 数组函数 ArrayGetAsSeries检测数组标引的导向数组函数 ArrayInitialize给数字数组所有元素一个 单独的值 数组函数 ArrayIsDynamic检测是否数组是动态的数组函数 ...
MQL5函数列表 MQL5 函数列表
FileReadDatetime FileReadDouble FileReadFloat FileReadInteger FileReadLong FileReadNumber 文件函数 文件函数 从文件指针当前位置读取 文件函数 整型, 短整型或者字符型值 从文件指针当前位置读取 一个长整型值 文件函数 从CSV 类型文件读取当前 文件函数 位置字符串直到定界符 (或 者直到文本行末端) 并且转 ...
FileMove移动或者重命名文件文件函数FileOpen打开指定名字和标记的文件 文件函数FileReadArray读取除了BIN类型文件字符串外的任何类型数组文件函数FileReadBool读取CSV类型文件当前位置字符串直到定界符(或者直到文本行末端)和转换读取的字符串到布尔型值文件函数FileReadDatetime读取CSV类型文件以"YYYY.MM.DD HH:MI:SS", "...
FileReadArray Reads arrays of any type except for string from the file of the BIN type FileReadBool Reads from the file of the CSV type a string from the current position till a delimiter (or till the end of a text line) and converts the read string to a value of bool type ...
Import CSV Bar Data Simply NOT Working(1112) I've read a few articles, and still have yet to find a working solution for this, while also trying not to deviate too far from what the documentation says to do. I'm trying to create my own custom SPY symbol ( different than the default...
FileReadArray 读取除了BIN类型文件字 □□□ 文件函数 FileReadBool 读取CSV□□□ □□□ □□□和转换读 □□□ 文件函数 FileReadDatetime 读取CSV类型文件以"YYYY.MM.DDHH:MI:SS",“YYYY.MM.DD"or“HH:MI:SS”格式字符串并□□□ 文件函数 FileReadDouble □□□双精度值 文件函数 FileReadFloat □...
Import CSV Bar Data Simply NOT Working(1112) I've read a few articles, and still have yet to find a working solution for this, while also trying not to deviate too far from what the documentation says to do. I'm trying to create my own custom SPY symbol ( different than the default...
{ string filename="company.sqlite"; //--- create or open the database in the common terminal folder int db=DatabaseOpen(filename, DATABASE_OPEN_READWRITE | DATABASE_OPEN_CREATE |DATABASE_OPEN_COMMON); if(db==INVALID_HANDLE) { Print("DB: ", filename, " open failed with code ", ...
#Read in our market data brent = pd.read_csv("/home/volatily/market_data/Market Data UK Brent Oil.csv", sep="\t") 我们需要标记数据。 #Preparing to label the data look_ahead = 20 #Defining the target brent["Target"] = brent["Close"].shift(-look_ahead) #Drop missing values bren...