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- 게시됨:
- 2019.02.23 17:01
- 업데이트됨:
- 2019.02.23 22:17
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이 코드를 기반으로 한 로봇이나 지표가 필요하신가요? 프리랜스로 주문하세요 프리랜스로 이동
Usage of the class
1. Set up an array of column descriptions in an MqlParam array.
CCsvReader infile; MqlParam example_column_desc[] = { { TYPE_STRING, 0, 0.0, "symbol" }, // 1. field is string { TYPE_DOUBLE, 0, 0.0, "contractsize" }, // 2. field is double { TYPE_DATETIME, 0, 0.0, "expiration" } // 3. field is datetime }; infile.FieldDesc(example_column_desc);
2. Open the file with the Open() function
infile.Open(InpFileName, FILE_READ);
2a. When the file has a header and your are not interested in the contents of the headerline skip it with Readline(void).
infile.ReadLine();
3. With ReadLine(MqlParam arr) a MqlParam array is filled with values of one text line of the CSV file.
MqlParam dataline[]; int fieldsread; fieldsread = infile.ReadLine(dataline);
Disadvantages of this class
- this code is not very fast
- handles only handle Unicode files at the moment. Single byte files are not a development priority.
- It is possible this code reads a line and notices that EOF is reached at the end of the line.If possible do not test with IsEnding(), use the return value of the ReadLine functions instead. The return value will only return FILE_STATE_EOF after the next read. So all records will be processed.
Using the samples
I provided a LibreCalc spreadsheet with 3 sheets. It is a sample that calculate some orders of a pyramid system. The first sheet as exported as CSV file with "Save As...". Use format CSV file with Tab as separator and to use Unicode. Put the CSV file in your <MQL5>\Files directory. The script Sample.mq5 will read the CSV file and print the values of the CSV file.
![Adaptive moving average - double smoothed](https://c.mql5.com/i/code/indicator.png)
Adaptive moving average - double smoothed
![Normalized MACD - of averages](https://c.mql5.com/i/code/indicator.png)
Normalized MACD of averages