cfastfile: A Class for Efficient Data Handling
Info
The cfastfile: A Class for Efficient Data Handling is a Library for MetaTrader 5 that the cfastfile class offers a powerful approach to data management, eliminating the need for intermediate disk writes and significantly enhancing performance. This class introduces functions akin to standard filewritexxx/filereadxxx, enabling seamless migration from physical files to 'virtual' in-memory files.
Usage
This tool is typically used for enhancing chart analysis and decision making.
Platform
This Library works exclusively on MetaTrader 5 (both build 600+ and newer versions).
Setup
Place the downloaded file in MQL5/Libraries folder via File ? Open Data Folder in MetaTrader 5.
How to Install and Use cfastfile: A Class for Efficient Data Handling
1. Storage: Place library files in the MQL/Libraries directory to ensure they are accessible to your projects.
2. Implementation: Include the library in your code using the #import directive, ensuring you match the exact function names and parameters.
3. Compilation: Ensure the library is present in the directory before you compile your main EA or script, as the compiler links them during this phase.
4. Management: Keep libraries organized in sub-folders if you manage many custom functions to maintain a clean project structure.
Frequently Asked Questions
Q: What is a library file used for? A: Libraries store reusable code modules, allowing you to centralize common logic used by multiple EAs or indicators.
Q: Is a library executable? A: No, libraries are non-executable files containing functions; they must be imported into an EA, indicator, or script to function.
Q: Can I update a library while the platform is running? A: You should compile your EA or script after updating a library to ensure the latest code changes are integrated.
What this tool does
The cfastfile class offers a powerful approach to data management, eliminating the need for intermediate disk writes and significantly enhancing performance.
Typical Use Case
This Library excels in automated trading and technical analysis on MetaTrader 5.
Compatible Platform & Setup
This Library works on MetaTrader 5. Place the file in the MQL5/Libraries folder and restart the terminal.
Description & Settings
Related: simplified order management class for mt4/mt5 - another powerful library for MetaTrader 5 traders.
The cfastfile class offers a powerful approach to data management, eliminating the need for intermediate disk writes and significantly enhancing performance.Also recommended: class calc frac - custom bar count for fractal detection - similar library with strong performance on MetaTrader 5.
This class introduces functions akin to standard filewritexxx/filereadxxx, enabling seamless migration from physical files to 'virtual' in-memory files. By utilizing uchar arrays instead of physical files for data storage and I/O, cfastfile ensures efficient data handling.
Functions include:
- cfastfile_write_uchar
- cfastfile_write_int
- cfastfile_write_double
- cfastfile_read_uchar
- cfastfile_read_int
- cfastfile_read_double
Transitioning from real files is straightforward. Instead of opening a file and obtaining a handle, create a cfastfile class instance:
cfastfile cff;
Then, replace conventional file functions with their cfastfile equivalents:
cff.cfastfile_write_uchar(data);
For added convenience, save/load functions are provided to transfer 'virtual' file data to/from real files on disk.
A demo example is included for reference.
You may also like: cgv class for global variables - excellent alternative for library users on MetaTrader 5.
Source Code
#property copyright "robotfx"
#property link "https://robotfx.org"
#property version "1.00"
#include <fastfile.mqh>
void onstart()
{
cfastfile *h=new cfastfile; // creating "virtual file" object
h.writedouble(123); // write double (8 bytes)
h.writeinteger(456, int_value); // write integer (4 bytes)
h.writechar(char(100)); // write char (1 byte).......
⚠ Limitations & Risk Warning
- This tool is provided for educational and testing purposes only.
- Past performance does not guarantee future results.
- Trading involves substantial risk of loss. Use on a demo account first.
- Results may vary depending on market conditions, broker, and settings.
- We recommend thorough backtesting and forward testing before using with real funds.