Daichi Narushima
78c49238cf
* feat: add stable MT5Client public API and infrastructure layer Introduce a reusable public API for downstream trading applications: - MT5Client as the primary client abstraction with order_check/order_send - schemas module with DataKind contracts, validation, and normalization - converters, exceptions, retry, and storage facade modules - CLI order commands now route through MT5Client - connected_client made public; retry logic centralized - Contract tests for API surface, schemas, and storage round-trips - README and docs updated with Python API usage examples Co-authored-by: Daichi Narushima <dceoy@users.noreply.github.com> * fix: correct time coercion, broker-safe symbols, and execution docs - Normalize MT5 time columns with correct second/millisecond units - Coerce all present known MT5 time fields, including optional order times - Preserve broker symbol casing in normalize_symbol() - Document order_send() as a live execution primitive with clear scope boundaries - Add contract tests for timestamp and symbol normalization behavior Co-authored-by: Daichi Narushima <dceoy@users.noreply.github.com> --------- Co-authored-by: Cursor Agent <cursoragent@cursor.com> Co-authored-by: Daichi Narushima <dceoy@users.noreply.github.com>
54 lines
2.8 KiB
Markdown
54 lines
2.8 KiB
Markdown
# API Reference
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This section documents the mt5cli public Python API and CLI modules.
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## Public API layers
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| Module | Purpose |
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| ----------------------------------------- | ------------------------------------------------------------------------- |
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| [Client](client.md) | `MT5Client` session abstraction for data access and order primitives |
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| [Schemas](schemas.md) | Canonical DataFrame contracts and normalization helpers |
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| [Storage](storage.md) | CSV/JSON/Parquet/SQLite export and history collection helpers |
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| [Converters](converters.md) | Symbol, timeframe, timezone, and date-range utilities |
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| [Exceptions](exceptions.md) | Stable mt5cli exception types and MT5 error normalization |
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| [SDK](sdk.md) | Module-level fetch helpers, multi-account collectors, incremental history |
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| [Trading](trading.md) | Trading-capable sessions and operational helpers |
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| [History Collection (SQLite)](history.md) | SQLite schema, incremental writes, dedup, and rate views |
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| [CLI](cli.md) | Typer commands that delegate to the Python API |
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| [Utils](utils.md) | Parsing helpers and Click parameter types |
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## Architecture overview
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```mermaid
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flowchart TD
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App["Downstream application"] --> Client["MT5Client"]
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CLI["mt5cli CLI"] --> Client
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Client --> SDK["sdk / pdmt5"]
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Client --> Schemas["schemas"]
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Storage["storage"] --> History["history SQLite"]
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Storage --> Utils["utils export"]
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SDK --> PDMT5["pdmt5.Mt5DataClient"]
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```
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Downstream packages should depend on the package root exports (`MT5Client`, `DataKind`, `normalize_dataframe`, `export_dataframe`, `collect_history`, etc.) rather than private modules.
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`MT5Client.order_send()` is a live execution primitive that can place real trades. mt5cli exposes minimal execution helpers only; strategy logic, signals, backtests, and optimization remain out of scope and must be implemented downstream with explicit execution gating.
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## Quick start
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```python
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from mt5cli import MT5Client, build_config, mt5_session
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with mt5_session(build_config(login=12345)) as client:
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rates = client.copy_rates_range("EURUSD", "H1", "2024-01-01", "2024-02-01")
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positions = client.positions()
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```
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```bash
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mt5cli -o account.csv account-info
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mt5cli -o rates.parquet rates-range --symbol EURUSD --timeframe H1 \
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--date-from 2024-01-01 --date-to 2024-02-01
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```
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See individual module pages for detailed usage examples.
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