Rejoignez notre page de fans
- Vues:
- 97
- Note:
- Publié:
-
Besoin d'un robot ou d'un indicateur basé sur ce code ? Commandez-le sur Freelance Aller sur Freelance
ASQ Trading Journal Export — Your Trades, Your Data, One Click
AlgoSphere Quant — Precision before profit.
ASQ Trading Journal Export is a script that exports your complete trade history to a clean CSV file in one click. Every closed trade is reconstructed from the deal history with full details: ticket, symbol, direction, open/close time, lots, open/close price, SL, TP, gross P/L, swap, commission, net P/L, duration in minutes, magic number, and comment.
The CSV is ready to open in Excel, Google Sheets, or import into Python, R, or any analytics tool. At the bottom of the file you get a summary section with total trades, wins, losses, win rate, gross P/L, and net P/L.
Features
- One-click execution — run the script, get your CSV instantly
- Full trade reconstruction from MT5 deal history
- Configurable date range (last N days or all history)
- Symbol filter and magic number filter
- Optional columns: swap, commission, duration, magic, comment
- Summary section with win/loss count, win rate, gross and net P/L
- Clean CSV format compatible with Excel, Sheets, Python, R
- Auto-generated filename with date stamp
- Output to MQL5/Files/ for easy access

Parameters
Export: filename, days back (0 = all), symbol filter, magic filter. Fields: include swap, commission, duration, magic, comment (each on/off).
Installation
- Download ASQ_TradingJournalExport.mq5
- Place in MQL5/Scripts/
- Compile in MetaEditor
- Drag onto any chart — the export runs immediately
MetaTrader 5, all brokers, all account types. Free and open-source.
ASQ Spread Logger
Real-time spread monitor with statistics panel, CSV logging & alerts
Portfolio Scorer — Multi-EA Correlation and Coverage Analyzer
Portfolio Scorer is a standalone MQL5 script that evaluates the quality of a multi-EA portfolio across three critical dimensions that most algo traders overlook. The script reads daily profit and loss data from CSV files (one per Expert Advisor), computes a full Pearson correlation matrix between every strategy pair, maps trading activity by UTC hour and weekday, detects asset class diversity, and produces a weighted composite score with a letter grade from A+ to F. How it works: The tool runs in four sequential stages. First, the Data Loader reads and validates CSV files containing daily returns for each EA in the portfolio. Second, the Correlation Engine calculates the complete NxN Pearson correlation matrix and flags pairs that exceed a configurable threshold. Third, the Coverage Analyzer maps which hours and weekdays have active trading and identifies blind spots. Fourth, the Scoring Function combines all three dimensions into a single composite score using adjustable weights.
Institutional Gaussian Signal Filter (Zero-Lag ALMA)
A quantitative Gaussian filter designed to replace lagging retail moving averages by applying advanced digital signal processing to eliminate market noise without sacrificing responsiveness.
MACD Signals
Indicator edition for new platform.
