SDK Module¶

def account_info(*, config: Mt5Config | None = None) -> pd.DataFrame:
    """Return account information."""
    return _make_client(config=config).account_info()

def build_config(
    *,
    path: str | None = None,
    login: int | None = None,
    password: str | None = None,
    server: str | None = None,
    timeout: int | None = None,
) -> Mt5Config:
    """Build an ``Mt5Config`` from optional connection parameters.

    Returns:
        Configured ``Mt5Config`` instance.
    """
    return Mt5Config(
        path=path,
        login=login,
        password=password,
        server=server,
        timeout=timeout,
    )

def collect_history(
    output: Path,
    symbols: list[str],
    date_from: datetime | str,
    date_to: datetime | str,
    *,
    datasets: set[Dataset] | None = None,
    timeframe: int | str = 1,
    flags: int | str = 1,
    if_exists: IfExists = IfExists.FAIL,
    with_views: bool = False,
    config: Mt5Config | None = None,
) -> None:
    """Collect historical datasets into a single SQLite database.

    Args:
        output: SQLite database path.
        symbols: Symbols to collect.
        date_from: Start date.
        date_to: End date.
        datasets: Datasets to include (defaults to all).
        timeframe: Rates timeframe as integer or name (e.g. ``M1``).
        flags: Tick copy flags as integer or name (e.g. ``ALL``).
        if_exists: Behavior when a target table already exists.
        with_views: Create ``cash_events`` and ``positions_reconstructed`` views.
        config: MT5 connection configuration.
    """
    start = _require_datetime(date_from)
    end = _require_datetime(date_to)
    selected = datasets if datasets is not None else set(Dataset)
    tf = _coerce_timeframe(timeframe)
    tick_flags = _coerce_tick_flags(flags)
    mt5_config = config or build_config()
    with _connected_client(mt5_config) as client, sqlite3.connect(output) as conn:
        conn.execute("PRAGMA journal_mode=WAL")
        conn.execute("PRAGMA synchronous=NORMAL")
        written_tables, written_columns = write_collected_datasets(
            conn,
            client,
            symbols,
            selected,
            tf,
            tick_flags,
            start,
            end,
            if_exists,
        )
        create_history_indexes(conn, written_columns)
        if with_views and Dataset.history_deals in written_tables:
            create_cash_events_view(conn, written_columns[Dataset.history_deals])
            create_positions_reconstructed_view(
                conn,
                written_columns[Dataset.history_deals],
            )
        elif with_views:
            logger.warning(
                "--with-views ignored: history_deals table was not written",
            )
    logger.info(
        "Collected %s for %d symbol(s) into %s",
        ", ".join(sorted(ds.value for ds in selected)),
        len(symbols),
        output,
    )

def copy_rates_from(
    symbol: str,
    timeframe: int | str,
    date_from: datetime | str,
    count: int,
    *,
    config: Mt5Config | None = None,
) -> pd.DataFrame:
    """Return rates starting from a date."""
    return _make_client(config=config).copy_rates_from(
        symbol,
        timeframe,
        date_from,
        count,
    )

def copy_rates_from_pos(
    symbol: str,
    timeframe: int | str,
    start_pos: int,
    count: int,
    *,
    config: Mt5Config | None = None,
) -> pd.DataFrame:
    """Return rates starting from a bar position."""
    return _make_client(config=config).copy_rates_from_pos(
        symbol,
        timeframe,
        start_pos,
        count,
    )

def copy_rates_range(
    symbol: str,
    timeframe: int | str,
    date_from: datetime | str,
    date_to: datetime | str,
    *,
    config: Mt5Config | None = None,
) -> pd.DataFrame:
    """Return rates for a date range."""
    return _make_client(config=config).copy_rates_range(
        symbol,
        timeframe,
        date_from,
        date_to,
    )

def copy_ticks_from(
    symbol: str,
    date_from: datetime | str,
    count: int,
    flags: int | str,
    *,
    config: Mt5Config | None = None,
) -> pd.DataFrame:
    """Return ticks starting from a date."""
    return _make_client(config=config).copy_ticks_from(
        symbol,
        date_from,
        count,
        flags,
    )

def copy_ticks_range(
    symbol: str,
    date_from: datetime | str,
    date_to: datetime | str,
    flags: int | str,
    *,
    config: Mt5Config | None = None,
) -> pd.DataFrame:
    """Return ticks for a date range."""
    return _make_client(config=config).copy_ticks_range(
        symbol,
        date_from,
        date_to,
        flags,
    )

def history_deals(
    date_from: datetime | str | None = None,
    date_to: datetime | str | None = None,
    group: str | None = None,
    symbol: str | None = None,
    ticket: int | None = None,
    position: int | None = None,
    *,
    config: Mt5Config | None = None,
) -> pd.DataFrame:
    """Return historical deals."""
    return _make_client(config=config).history_deals(
        date_from=date_from,
        date_to=date_to,
        group=group,
        symbol=symbol,
        ticket=ticket,
        position=position,
    )

def history_orders(
    date_from: datetime | str | None = None,
    date_to: datetime | str | None = None,
    group: str | None = None,
    symbol: str | None = None,
    ticket: int | None = None,
    position: int | None = None,
    *,
    config: Mt5Config | None = None,
) -> pd.DataFrame:
    """Return historical orders."""
    return _make_client(config=config).history_orders(
        date_from=date_from,
        date_to=date_to,
        group=group,
        symbol=symbol,
        ticket=ticket,
        position=position,
    )

def last_error(*, config: Mt5Config | None = None) -> pd.DataFrame:
    """Return the last error information."""
    return _make_client(config=config).last_error()

def market_book(
    symbol: str,
    *,
    config: Mt5Config | None = None,
) -> pd.DataFrame:
    """Return market depth for a symbol."""
    return _make_client(config=config).market_book(symbol)

def minimum_margins(
    symbol: str,
    *,
    config: Mt5Config | None = None,
) -> pd.DataFrame:
    """Return minimum-volume buy and sell margin requirements.

    See ``Mt5CliClient.minimum_margins`` for return details.
    """
    return _make_client(config=config).minimum_margins(symbol)

def orders(
    symbol: str | None = None,
    group: str | None = None,
    ticket: int | None = None,
    *,
    config: Mt5Config | None = None,
) -> pd.DataFrame:
    """Return active orders."""
    return _make_client(config=config).orders(
        symbol=symbol,
        group=group,
        ticket=ticket,
    )

def positions(
    symbol: str | None = None,
    group: str | None = None,
    ticket: int | None = None,
    *,
    config: Mt5Config | None = None,
) -> pd.DataFrame:
    """Return open positions."""
    return _make_client(config=config).positions(
        symbol=symbol,
        group=group,
        ticket=ticket,
    )

def recent_ticks(
    symbol: str,
    seconds: float,
    *,
    date_to: datetime | str | None = None,
    count: int = 10000,
    flags: int | str = "ALL",
    config: Mt5Config | None = None,
) -> pd.DataFrame:
    """Return ticks from a recent time window ending at ``date_to`` or now.

    See ``Mt5CliClient.recent_ticks`` for parameter and return details.
    """
    return _make_client(config=config).recent_ticks(
        symbol,
        seconds,
        date_to=date_to,
        count=count,
        flags=flags,
    )

def symbol_info(
    symbol: str,
    *,
    config: Mt5Config | None = None,
) -> pd.DataFrame:
    """Return details for one symbol."""
    return _make_client(config=config).symbol_info(symbol)

def symbol_info_tick(
    symbol: str,
    *,
    config: Mt5Config | None = None,
) -> pd.DataFrame:
    """Return the last tick for a symbol."""
    return _make_client(config=config).symbol_info_tick(symbol)

def symbols(
    group: str | None = None,
    *,
    config: Mt5Config | None = None,
) -> pd.DataFrame:
    """Return the symbol list."""
    return _make_client(config=config).symbols(group=group)

def terminal_info(*, config: Mt5Config | None = None) -> pd.DataFrame:
    """Return terminal information."""
    return _make_client(config=config).terminal_info()