Daichi Narushima 5b44318d55 Add programmatic SDK and refactor mt5cli into cli, sdk, and utils (#15)
* Refactor cli.py into cli and utils modules

Extract constants, enums, Click parameter types, and parse/export utility
functions into a new mt5cli/utils.py module, keeping the typer app, commands,
and collect-history SQLite helpers in cli.py.

https://claude.ai/code/session_016JwSEhPyq6phXySktQ1FGU

* Address review comments

* Add programmatic SDK layer for read-only MT5 data collection.

Expose Mt5CliClient and collect_history through the package API while keeping CLI commands as thin adapters over the SDK.

Co-authored-by: Cursor <cursoragent@cursor.com>

* Harden SDK connection lifecycle and scope internal helpers as private.

Co-authored-by: Cursor <cursoragent@cursor.com>

* Export build_config in the public API and bump version to 0.4.0.

Co-authored-by: Cursor <cursoragent@cursor.com>

* Remove duplicate scripts/ in favor of local-qa skill script.

Co-authored-by: Cursor <cursoragent@cursor.com>

---------

Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-08 22:54:53 +09:00
2026-05-25 01:48:43 +09:00
2026-03-28 21:09:14 +09:00
2026-03-28 21:09:14 +09:00

mt5cli

CI/CD

Command-line tool for exporting MetaTrader 5 data to CSV, JSON, Parquet, and SQLite3.

Built on top of pdmt5, a pandas-based data handler for MetaTrader 5.

Features

  • Multi-format export: CSV, JSON, Parquet, and SQLite3 output formats
  • Auto-detection: Format detection from file extensions
  • Comprehensive data access: Rates, ticks, account info, symbols, orders, positions, and trading history
  • Flexible timeframes: Named timeframes (M1, H1, D1, etc.) and numeric values
  • Connection management: Optional credentials, server, and timeout configuration

Installation

pip install -U mt5cli MetaTrader5

Usage

# Export account information to CSV
mt5cli -o account.csv account-info

# Export EURUSD M1 rates to Parquet
mt5cli -o rates.parquet rates-from --symbol EURUSD --timeframe M1 \
  --date-from 2024-01-01 --count 1000

# Export ticks to JSON
mt5cli -o ticks.json ticks-from --symbol EURUSD \
  --date-from 2024-01-01 --count 500 --flags ALL

# Export symbols to SQLite3 with custom table name
mt5cli -o data.db --table symbols symbols --group "*USD*"

# Export with connection credentials
mt5cli --login 12345 --password mypass --server MyBroker-Demo \
  -o positions.csv positions

Run as a Python module:

python -m mt5cli -o account.csv account-info

Commands

Command Description
rates-from Export rates from a start date
rates-from-pos Export rates from a start position
rates-range Export rates for a date range
ticks-from Export ticks from a start date
ticks-range Export ticks for a date range
account-info Export account information
terminal-info Export terminal information
version Export MetaTrader 5 version information
last-error Export the last error information
symbols Export symbol list
symbol-info Export symbol details
symbol-info-tick Export the last tick for a symbol
market-book Export market depth (order book)
orders Export active orders
positions Export open positions
history-orders Export historical orders
history-deals Export historical deals
order-check Check funds sufficiency for a trade request
order-send Send a trade request to the trade server (--yes required)
collect-history Bundle rates, ticks, history-orders, and history-deals for one or more symbols into a single SQLite database

Use order-check to validate a request payload before running order-send --yes.

collect-history

Collect several historical datasets per symbol into one SQLite database in a single MT5 session. Pick datasets with repeatable --dataset (default: all four), choose conflict behavior with --if-exists append|replace|fail (default: fail), and optionally derive cash_events / positions_reconstructed views from history_deals via --with-views.

mt5cli -o history.db collect-history \
  --symbol EURUSD --symbol GBPUSD \
  --date-from 2024-01-01 --date-to 2024-02-01 \
  --dataset rates --dataset history-deals \
  --timeframe M1 --flags ALL --if-exists append --with-views

History orders and deals are fetched per symbol and concatenated, so the symbol filter is applied consistently across all datasets. The cash_events view is derived from symbol-filtered history_deals, so account-level cash events with empty or non-matching symbols may be excluded. The rates table records the requested timeframe so appended runs at different timeframes remain distinguishable. The positions_reconstructed view aggregates trade deals by position_id, excludes positions without closing deals, and uses volume-weighted open/close prices; reversal deals (DEAL_ENTRY_INOUT) are reported via volume_reversal / reversal_count columns and do not contribute to the weighted prices.

Requirements

  • Python 3.11+
  • Windows OS (MetaTrader 5 requirement)
  • MetaTrader 5 platform installed

Development

git clone https://github.com/dceoy/mt5cli.git
cd mt5cli
uv sync

License

MIT

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