open-api-mt5

MetaTrader 5 API service with FastAPI.

Important limitation

This API controls a single MT5 terminal/session instance per running service process.

• A single API instance can be connected to only one account at a time.
• /account/connect switches that single active session.
• If you run multiple API services, use separate MT5 terminal instances/data folders for reliable isolation.

Setup

1. Create a virtual environment:
   • Windows PowerShell: python -m venv .venv
2. Activate it:
   • .\.venv\Scripts\Activate.ps1
3. Install dependencies:
   • python -m pip install -U pip
   • pip install -e .

MT5 startup config

The API initializes MetaTrader 5 when FastAPI starts and closes it when FastAPI stops. It also checks MT5 connection every 5 seconds and tries to reconnect automatically if disconnected.

You can configure startup with a server_config.json file in the project directory:

{
  "path": "C:\\Program Files\\MetaTrader 5\\terminal64.exe",
  "username": "12345678",
  "password": "your-password",
  "server": "YourBroker-Server",
  "account": "12345678",
  "multiTerminal": true,
  "portable": true,
  "port": 8000,
  "apiKey": "optional-api-key"
}

account is required and is always checked against the connected MT5 account after initialization. The API loads MT5 and server startup settings from the JSON config file only; environment variables are not used for these settings. When the connected account does not match, it restarts the configured terminal path and retries up to 3 times; if the account still does not match, the API exits. If path is set, the API starts MT5 with portable=true by default so separate API instances can attach to separate MT5 terminal folders. Set "portable": false only if you intentionally want the normal shared MT5 data-directory behavior.

When running multiple API instances on the same Windows machine, start each process with its own explicit --config file containing a different path, account, and port. Mode, apiKey, apiSecret, and registryUrl are config-file startup settings and are not stored by /account/connect.

Virtual terminal mode

Virtual mode runs the same HTTP market-data API without starting MetaTrader 5. Dukascopy supplies symbols, quotes, ticks, and OHLC bars; POST /orders sends an MT5-shaped order request as JSON through ZeroMQ or Kafka.

{
  "virtual": true,
  "dataSource": "dukascopy",
  "port": 8000,
  "dukascopy": {
    "baseUrl": "https://jetta.dukascopy.com/v1",
    "timeoutSeconds": 15,
    "maxBucketsPerRequest": 400
  },
  "orderTransport": "kafka",
  "zeroMq": {
    "host": "127.0.0.1",
    "port": 5555,
    "topic": "ORDER",
    "socketType": "PUSH",
    "mode": "connect",
    "lingerMilliseconds": 1000
  },
  "kafka": {
    "bootstrapServers": "broker.example.com:9093",
    "topic": "orders",
    "clientId": "open-api-mt5",
    "securityProtocol": "SASL_SSL",
    "saslMechanism": "PLAIN",
    "saslUsername": "your-kafka-username",
    "saslPassword": "your-kafka-password",
    "sslCaBase64": "base64-encoded-ca-pem",
    "acks": "all",
    "deliveryTimeoutSeconds": 10
  }
}

The Dukascopy data path is keyless: it uses the same jetta.dukascopy.com/v1 instrument and compact historical/live bucket infrastructure used by current dukascopy-node, so no Freeserv API key is required. maxBucketsPerRequest prevents a single ranged query from generating an unbounded number of upstream requests.

dataSource accepts both the correct dukascopy spelling and the legacy/requested ducascopy spelling. zeroMq.endpoint may be supplied instead of host and port (for example, "ipc:///tmp/orders.sock"). socketType is any socket type exposed by pyzmq; PUSH with connect is the default. Orders are sent as a multipart ZeroMQ message whose first frame is the configurable ORDER topic and whose second frame is the JSON payload.

orderTransport selects kafka (the default) or zeromq. For Kafka, set bootstrapServers, topic, and SASL credentials in the kafka block. securityProtocol supports the librdkafka values such as SASL_SSL and SASL_PLAINTEXT; saslMechanism can be PLAIN, SCRAM-SHA-256, or SCRAM-SHA-512, depending on the broker. Set sslCaLocation to a CA file path, or omit it and provide the complete PEM certificate encoded as Base64 in sslCaBase64. The location takes priority when both are present; Base64 certificates are decoded in memory and no temporary file is created. Other optional TLS client settings are sslCertificateLocation, sslKeyLocation, and sslKeyPassword. The producer waits up to deliveryTimeoutSeconds for broker acknowledgement and uses the order symbol as the Kafka message key unless messageKey is configured. Set securityProtocol to PLAINTEXT or SSL for a broker that does not use SASL.

The transport message contains the same request keys sent to MetaTrader5.order_send, including action, symbol, volume, type, price, deviation, magic, comment, type_time, type_filling, and optional sl, tp, or stoplimit. After a successful publish, the API returns an MT5-shaped mock result with retcode: 10009, success: true, and message: "order created". Transport details and the transmitted request remain available in the result. A delivery failure is returned as an error and is never reported as a created order.

The Kafka value JSON Schema is stored at schemas/order.schema.json. When registering it with Aiven Schema Registry, use schema type JSON and the conventional subject name orders-value.

Stateless virtual account

Virtual mode does not simulate or retain trading state. /account always returns an MT5-shaped account with a 100000 balance and equity. /tickets, /positions/open, /orders/pending, /exposure, and /trades/history return empty collections. Orders are still delivered through the configured Kafka or ZeroMQ transport, then acknowledged with an MT5-shaped mock creation result.

Trading dashboard

Open http://127.0.0.1:8000/trading for the responsive trading dashboard. The page uses the public REST API only and therefore works in normal MT5 and virtual modes. Select a symbol, timeframe, and bar count to display OHLC candles together with open-position, SL/TP, pending-order, and historical-deal overlays. The tables show the same MT5-compatible position, order, and history payloads returned by the API. Swagger always links to this dashboard; in virtual mode the dashboard also links to the transport message monitor.

Virtual mode returns MT5-shaped mock successes for position stop modifications and money-based adjustments. It returns HTTP 501 for close operations, MT5 calendar data, market depth, news-close jobs, and the open-positions WebSocket. Position details return HTTP 404 because virtual state is always empty. The Fair Economy calendar remains available. Dukascopy virtual market-data responses keep the existing /symbols, /quotes, /ticks, and /bars schemas.

Run

open-api-mt5

Optional flags:

open-api-mt5 --reload
open-api-mt5 --config C:\path\to\server_config.json

Default port is 8000. Set host and port in the config file to change the bind address.

Run unit tests with coverage:

pip install -e ".[test]"
pytest

The calendar, bars, and trade services require 100% statement coverage.

Run only the mocked news-close integration scenarios:

pytest -m integration --no-cov

API docs:

• Swagger UI: http://127.0.0.1:8000/docs
• WebSocket docs in Swagger:
  • GET /ws/positions/open/docs

Health endpoint:

• GET http://127.0.0.1:8000/health

Bars endpoints:

• GET http://127.0.0.1:8000/bars/{symbol}?timeframe=M1&n=100
• GET http://127.0.0.1:8000/bars/{symbol}/range?timeframe=M1&fromDate=2026-03-20T08:00:00Z&toDate=2026-03-20T12:00:00Z
• GET http://127.0.0.1:8000/quotes/{symbol}
• GET http://127.0.0.1:8000/ticks/{symbol}?count=100
• GET http://127.0.0.1:8000/market-depth/{symbol}
• GET http://127.0.0.1:8000/exposure
• GET http://127.0.0.1:8000/exposure/{symbol}

MT5/Dukascopy spread tracing

In normal MT5 mode, GET /spread-trace/{symbol} fetches both quotes and records bidSpread, askSpread, and closeSpread. Each spread is signed and calculated as MT5 - Dukascopy. The response also includes avarageBidSpread and avarageAskSpread, calculated from samples taken during the preceding 60 seconds. For tick quotes without a last-traded price, closeSpread uses the quote midpoint.

Samples are collected only when the fresh-sample endpoint is called, retained in memory, and reset when the service restarts. The only spread-trace configuration is symbolMap, which supports broker-specific MT5 symbol suffixes.

{
  "spreadTrace": {
    "symbolMap": {"GBPUSD.a": "GBPUSD"}
  }
}

• GET /spread-trace/{symbol} records and returns a fresh sample.
• GET /spread-trace/{symbol}/history?limit=100 returns retained samples in chronological order.

Account connection endpoints:

• POST http://127.0.0.1:8000/account/connect
  • Body: username, password, server, optional path, optional portable
  • Example body:

    {
      "username": "12345678",
      "password": "your-password",
      "server": "YourBroker-Server",
      "path": "C:\\Program Files\\MetaTrader 5\\terminal64.exe",
      "portable": true,
      "account": "12345678"
    }
    

• POST http://127.0.0.1:8000/account/disconnect
• If registryUrl is set in config, the API sends a POST call to that URL with JSON body fields address, port, apiKey, and accountId

Security modes:

• Set mode in config to standalone, secure, or secure-client
• Set apiKey in config and, for secure-client, apiSecret
• Set the registry target with registryUrl in config
• standalone: default mode, no X-apiKey or X-apiSecret header checks
• secure: every HTTP endpoint and the open positions WebSocket require X-apiKey to match the locally stored apiKey
• secure-client: every HTTP endpoint and the open positions WebSocket require both X-apiKey and X-apiSecret to match the locally stored values

Server info endpoint:

• GET http://127.0.0.1:8000/api/server/info
• Returns JSON with the locally stored apiKey and the detected machine ipAddress

Trade history endpoint:

• GET http://127.0.0.1:8000/trades/history
• Optional query params: fromDate, toDate (ISO datetime, UTC recommended)
• If omitted, it returns the last 7 days by default

Trade MAE/MFE endpoint:

• GET http://127.0.0.1:8000/trades/{positionId}/mae-mfe?timeframe=M5&horizonBars=12
• Available only in MT5 mode; virtual/Dukascopy mode returns HTTP 501.
• Reconstructs a closed position from its MT5 deals and calculates directional MAE/MFE from OHLC bars.
• tradePeriod covers entry through exit. extendedPeriod treats the trade as if it remained open for the requested bars after exit.
• postExit.potentialGain and postExit.potentialLoss measure the favorable/adverse move from the actual exit price during those bars.
• extendedRRR is extended MFE money divided by extended MAE money. postExit.potentialRRR is potential gain divided by potential loss from the exit price. A ratio is null when no adverse excursion occurred.
• Excursions include price distance, points, percent, and estimated account-currency value. Because OHLC bars do not contain the tick path, the entry and exit candles can include extremes that occurred outside the exact trade timestamps; use a smaller timeframe for greater precision.

Modify an open position's stop loss / take profit:

• POST http://127.0.0.1:8000/positions/modify
  • Body: ticket, optional sl, optional tp, optional comment
  • At least one of sl or tp is required. If one is omitted, its current MT5 value is kept.
  • Example body:

    {
      "ticket": 123456789,
      "sl": 1.0825,
      "tp": 1.095
    }
    

Open position details:

• GET http://127.0.0.1:8000/positions/{ticket}/details
• Returns entryPrice, stopLossPrice, takeProfitPrice, volume, contractSize, stopLossValue, and takeProfitValue
• Value formula:
  • Buy stop loss: (entryPrice - stopLossPrice) * volume * contractSize
  • Buy take profit: (takeProfitPrice - entryPrice) * volume * contractSize
  • Sell stop loss: (stopLossPrice - entryPrice) * volume * contractSize
  • Sell take profit: (entryPrice - takeProfitPrice) * volume * contractSize

Adjust an open position's stop loss / take profit by money values:

• POST http://127.0.0.1:8000/positions/adjust-by-money
  • Body: ticket, optional stopLossValueInMoney, optional takeProfitValueInMoney, optional comment
  • Defaults: stopLossValueInMoney = 10, takeProfitValueInMoney = 30
  • The API converts money values to SL/TP price distances in account currency using MT5 profit calculation when available, falling back to position entry price, volume, and symbol contract size.
  • If the exact value cannot be represented by the symbol price step, the API uses the nearest lower value.
  • Example body:

    {
      "ticket": 123456789,
      "stopLossValueInMoney": 10,
      "takeProfitValueInMoney": 30
    }
    

  • Response includes stopLossPrice, takeProfitPrice, stopLossValueInMoney, and takeProfitValueInMoney after rounding.

Close orders before economic news:

• POST /orders accepts optional closeOnNews, for example M15_High, M10_Medium, or M5_Low
• New orders with closeOnNews are rejected with HTTP 409 when a matching event is already inside the configured close window
• GET /orders/news-close/jobs lists the current tagged pending orders and open positions watched by the news-close checker
• The policy is stored in a durable SQLite file at .db/news_close_jobs.sqlite3 under the folder where the API process was started
• Restart the API from the same folder to reuse the existing news-close jobs; set NEWS_CLOSE_DB_PATH only if you need a custom database path
• High closes only for high-impact events; Medium closes for medium/high; Low closes for low/medium/high
• Events are matched against the symbol's base, profit, or margin currency
• Tagged open positions are closed and tagged pending orders are cancelled when an event enters the configured time window
• Modifying SL/TP values, including money-based adjustments, keeps the stored news policy unchanged
• The check runs once at startup and every 60 seconds; orders without closeOnNews are unchanged
• Fair Economy events include an explicit timezone and are compared in UTC. If you test with timezone-less event timestamps, the API also considers the local computer timezone; set LOCAL_TIMEZONE (for example Europe/Paris) only if you need to override the OS timezone.

Calendar events endpoint:

• GET http://127.0.0.1:8000/calendar/events
• The default source is the Fair Economy current-week feed, cached in calendar_cache.json
• The cache is loaded at startup, retried once on startup failure, refreshed every Monday at 00:00 UTC, and loaded lazily when missing or stale
• Optional query params: source (fairEconomy or mt5), fromDate, toDate (ISO datetime), country/currency (example: USD), and impact (Low, Medium, High, or Holiday)
• Fair Economy defaults to the current Monday-through-Sunday UTC week
• Use source=mt5 for the previous MT5 calendar behavior (default range: last 7 days to next 7 days)
• Optional environment variables: FAIR_ECONOMY_CALENDAR_URL and FAIR_ECONOMY_CALENDAR_CACHE_PATH

WebSocket streams

Open positions stream:

• ws://127.0.0.1:8000/ws/positions/open
• Optional query param: intervalSeconds (poll interval, bounded to 0.2..60)
• Events:
  • subscribed
  • positionsSnapshot
  • error
• positionsSnapshot includes:
  • positions[].pnl (position PnL, sourced from MT5 profit)
  • totalPnl (sum of all open positions PnL)

Example JavaScript client:

const ws = new WebSocket("ws://127.0.0.1:8000/ws/positions/open?intervalSeconds=1");
ws.onmessage = (event) => {
  const payload = JSON.parse(event.data);
  console.log(payload.event, payload);
};

Build and publish package

Build distribution files locally:

python -m pip install --upgrade build
python -m build

Install from the local build to smoke-test it:

python -m pip install --force-reinstall dist/*.whl
open-api-mt5 --help

Install from PyPI and run:

pip install open-api-mt5
open-api-mt5 --config C:\path\to\server_config.json

Release to PyPI

The repository includes .github/workflows/publish.yml, which runs tests, builds the package, and publishes to PyPI with a PyPI API token. It only runs from release branches named like release/0.5.

One-time PyPI token setup:

1. Create or open your PyPI account.
2. Create a PyPI API token. If the project already exists on PyPI, prefer a project-scoped token for open-api-mt5; otherwise create an account-scoped token for the first upload.
3. In GitHub, open repository Settings -> Secrets and variables -> Actions.
4. Add a repository secret named PYPI_API_TOKEN with the token value from PyPI. The workflow uses PyPI username __token__ and this secret as the password.
5. Optional: create a GitHub environment named pypi and add required reviewers if you want manual approval before publishing.

Prepare a release:

1. Update version in pyproject.toml.
2. Run tests:

   python -m pip install -e ".[test]"
   python -m pytest
   

3. Build locally:

   python -m pip install --upgrade build
   python -m build
   

4. Commit the version change:

   git add pyproject.toml
   git commit -m "Release 0.6.1"
   

5. Create and push a release branch:

   git checkout -b release/0.6.1
   git push origin release/0.6.1
   

6. The Publish to PyPI workflow runs on pushes to release/**. You can also run it manually from GitHub Actions, but select a release/** branch such as release/0.6.1.

PyPI rejects reused versions, so every release must have a new pyproject.toml version.

Manual upload with a token, if needed:

python -m pip install --upgrade twine
python -m twine upload dist/* -u __token__ -p "<your-pypi-token>"

Optional: standalone executable (no Python required on target machine)

If you want users to run it without installing Python, build an executable:

python -m pip install pyinstaller
pyinstaller --onefile --name open-api-mt5 app/cli.py

The executable will be in dist/open-api-mt5.exe.