Compare commits
7 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| 9ac3b885c3 | |||
| 823cb5b0a4 | |||
| 1c57be5c44 | |||
| f1ada55bce | |||
| d292fbb9d9 | |||
| 8e53212a24 | |||
| b878a61c07 |
+14
-12
@@ -99,18 +99,20 @@ diagrams.
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These helpers implement broker-facing calculations only. They do not encode
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strategy entries, exits, Kelly sizing, or signal logic.
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| Symbol | Role |
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| -------------------------------------------------------------------------------------------------- | --------------------------------------------- |
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| `get_account_snapshot`, `get_symbol_snapshot`, `get_tick_snapshot`, `get_positions_frame` | Normalized account/symbol/tick/position views |
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| `detect_position_side` | Net long / short / flat from open positions |
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| `calculate_spread_ratio` | Relative bid-ask spread |
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| `calculate_margin_and_volume`, `calculate_volume_by_margin`, `calculate_new_position_margin_ratio` | Margin budget and volume sizing |
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| `normalize_order_volume`, `estimate_order_margin`, `calculate_positions_margin` | Broker volume normalization and margin totals |
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| `determine_order_limits` | SL/TP price levels from ratios |
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| `ensure_symbol_selected` | Select/verify Market Watch visibility |
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| `place_market_order`, `close_open_positions`, `update_sltp_for_open_positions` | Order execution helpers (`dry_run` supported) |
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| `MarginVolume`, `OrderLimits`, `OrderExecutionResult` | Typed return contracts for order helpers |
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| `OrderSide`, `OrderFillingMode`, `OrderTimeMode`, `PositionSide`, `ExecutionStatus` | Typed enums for order helpers |
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| Symbol | Role |
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| -------------------------------------------------------------------------------------------------- | ----------------------------------------------------------- |
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| `get_account_snapshot`, `get_symbol_snapshot`, `get_tick_snapshot`, `get_positions_frame` | Normalized account/symbol/tick/position views |
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| `detect_position_side` | Net long / short / flat from open positions |
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| `calculate_spread_ratio` | Relative bid-ask spread |
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| `calculate_margin_and_volume`, `calculate_volume_by_margin`, `calculate_new_position_margin_ratio` | Margin budget and volume sizing |
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| `normalize_order_volume`, `estimate_order_margin`, `calculate_positions_margin` | Broker volume normalization and margin totals |
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| `calculate_positions_margin_by_symbol` | Per-symbol margin map (resilient, first-seen order) |
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| `calculate_positions_margin_safe` | Summed total margin across symbols (failed symbols skipped) |
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| `determine_order_limits` | SL/TP price levels from ratios |
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| `ensure_symbol_selected` | Select/verify Market Watch visibility |
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| `place_market_order`, `close_open_positions`, `update_sltp_for_open_positions` | Order execution helpers (`dry_run` supported) |
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| `MarginVolume`, `OrderLimits`, `OrderExecutionResult` | Typed return contracts for order helpers |
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| `OrderSide`, `OrderFillingMode`, `OrderTimeMode`, `PositionSide`, `ExecutionStatus` | Typed enums for order helpers |
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`MT5Client.order_send()` and CLI `order-send --yes` are live execution paths.
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@@ -119,6 +119,8 @@ from .trading import (
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calculate_margin_and_volume,
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calculate_new_position_margin_ratio,
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calculate_positions_margin,
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calculate_positions_margin_by_symbol,
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calculate_positions_margin_safe,
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calculate_spread_ratio,
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calculate_volume_by_margin,
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close_open_positions,
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@@ -188,6 +190,8 @@ __all__ = [
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"calculate_margin_and_volume",
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"calculate_new_position_margin_ratio",
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"calculate_positions_margin",
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"calculate_positions_margin_by_symbol",
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"calculate_positions_margin_safe",
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"calculate_spread_ratio",
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"calculate_volume_by_margin",
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"call_with_normalized_errors",
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@@ -31,6 +31,8 @@ STABLE_SDK_EXPORTS: frozenset[str] = frozenset({
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"calculate_margin_and_volume",
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"calculate_new_position_margin_ratio",
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"calculate_positions_margin",
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"calculate_positions_margin_by_symbol",
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"calculate_positions_margin_safe",
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"calculate_spread_ratio",
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"calculate_volume_by_margin",
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"call_with_normalized_errors",
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+160
-56
@@ -2,13 +2,14 @@
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from __future__ import annotations
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import logging
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from contextlib import contextmanager
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from math import floor, isfinite
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from numbers import Integral, Real
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from typing import TYPE_CHECKING, Literal, TypedDict, cast
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import pandas as pd
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from pdmt5 import Mt5Config, Mt5TradingClient, Mt5TradingError
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from pdmt5 import Mt5Config, Mt5RuntimeError, Mt5TradingClient, Mt5TradingError
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from .history import drop_forming_rate_bar
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from .sdk import build_config
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@@ -16,7 +17,9 @@ from .utils import coerce_login as _coerce_login
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from .utils import parse_timeframe
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if TYPE_CHECKING:
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from collections.abc import Iterator, Sequence
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from collections.abc import Iterator, Mapping, Sequence
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_logger = logging.getLogger(__name__)
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PositionSide = Literal["long", "short"]
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OrderSide = Literal["BUY", "SELL"]
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@@ -128,6 +131,8 @@ __all__ = [
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"calculate_margin_and_volume",
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"calculate_new_position_margin_ratio",
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"calculate_positions_margin",
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"calculate_positions_margin_by_symbol",
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"calculate_positions_margin_safe",
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"calculate_spread_ratio",
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"calculate_volume_by_margin",
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"close_open_positions",
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@@ -423,6 +428,30 @@ def _optional_price(value: object) -> float | None:
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return price
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def _valid_tick_price(tick: Mapping[str, object], key: str) -> float | None:
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"""Return a positive finite float from tick[key], or None if invalid.
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Accepts int, float, or numeric string values. Returns None when the key is
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missing, the value is None, non-numeric, NaN, infinite, zero, or negative.
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Booleans are treated as non-numeric and return None.
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"""
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value = tick.get(key)
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if value is None or isinstance(value, bool):
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return None
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if isinstance(value, int | float):
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price = float(value)
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elif isinstance(value, str):
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try:
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price = float(value)
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except ValueError:
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return None
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else:
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return None
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if not isfinite(price) or price <= 0:
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return None
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return price
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def _success_retcodes(mt5: object) -> frozenset[int]:
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values = {
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value
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@@ -461,9 +490,10 @@ def _calculate_min_volume_if_affordable(
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msg = f"Invalid volume constraints for {symbol!r}."
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raise Mt5TradingError(msg)
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side = _normalize_order_side(order_side)
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tick = get_tick_snapshot(client, symbol)
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price = tick["ask"] if side == "BUY" else tick["bid"]
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if not isinstance(price, int | float) or price <= 0:
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price = _valid_tick_price(
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get_tick_snapshot(client, symbol), "ask" if side == "BUY" else "bid"
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)
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if price is None:
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msg = f"Tick price is unavailable for {symbol!r}."
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raise Mt5TradingError(msg)
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order_type = (
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@@ -621,14 +651,14 @@ def estimate_order_margin(
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raise Mt5TradingError(msg)
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side = _normalize_order_side(order_side)
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tick = get_tick_snapshot(client, symbol)
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price = tick["ask"] if side == "BUY" else tick["bid"]
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if not isinstance(price, int | float) or price <= 0 or not isfinite(price):
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price = _valid_tick_price(tick, "ask" if side == "BUY" else "bid")
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if price is None:
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msg = f"Tick price is unavailable for {symbol!r}."
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raise Mt5TradingError(msg)
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order_type = (
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client.mt5.ORDER_TYPE_BUY if side == "BUY" else client.mt5.ORDER_TYPE_SELL
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)
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raw_margin = client.order_calc_margin(order_type, symbol, volume, float(price))
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raw_margin = client.order_calc_margin(order_type, symbol, volume, price)
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try:
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margin = float(raw_margin)
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except (TypeError, ValueError) as exc:
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@@ -682,22 +712,85 @@ def calculate_positions_margin(
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return total
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def calculate_positions_margin_by_symbol(
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client: Mt5TradingClient,
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*,
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symbols: Sequence[str],
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suppress_errors: bool = True,
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) -> dict[str, float]:
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"""Return per-symbol estimated margin for open positions.
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Computes margin for each unique input symbol independently using the strict
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:func:`calculate_positions_margin` helper. Duplicates are deduplicated in
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first-seen order.
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Args:
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client: Connected ``Mt5TradingClient`` instance.
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symbols: Symbols to compute margin for.
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suppress_errors: When ``True``, log and skip symbols that raise
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``Mt5TradingError``, ``Mt5RuntimeError``, or ``AttributeError``.
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When ``False``, re-raise the first failure.
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Returns:
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Mapping of symbol to margin total in first-seen unique-symbol order.
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Returns an empty dict when ``symbols`` is empty or all symbols fail
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with ``suppress_errors=True``.
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Raises:
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Mt5TradingError: When a symbol raises ``Mt5TradingError`` and
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``suppress_errors=False``.
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Mt5RuntimeError: When a symbol raises ``Mt5RuntimeError`` and
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``suppress_errors=False``.
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AttributeError: When a symbol raises ``AttributeError`` and
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``suppress_errors=False``.
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"""
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result: dict[str, float] = {}
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for symbol in dict.fromkeys(symbols):
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try:
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result[symbol] = calculate_positions_margin(client, symbols=[symbol])
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except (Mt5TradingError, Mt5RuntimeError, AttributeError) as exc:
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if not suppress_errors:
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raise
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_logger.warning("Skipping margin for %r: %s", symbol, exc)
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return result
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def calculate_positions_margin_safe(
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client: Mt5TradingClient,
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*,
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symbols: Sequence[str],
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) -> float:
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"""Return the total estimated margin for open positions across symbols.
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Internally calls :func:`calculate_positions_margin_by_symbol` with
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``suppress_errors=True``. Failed symbols are silently skipped.
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Args:
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client: Connected ``Mt5TradingClient`` instance.
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symbols: Symbols to include.
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Returns:
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Sum of per-symbol margins; ``0.0`` when no symbols or all fail.
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"""
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return sum(
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calculate_positions_margin_by_symbol(client, symbols=symbols).values(),
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0.0,
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)
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def calculate_spread_ratio(client: Mt5TradingClient, symbol: str) -> float:
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"""Return ``(ask - bid) / ((ask + bid) / 2)`` for the latest tick.
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Raises:
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Mt5TradingError: If bid or ask is unavailable or non-positive.
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Mt5TradingError: If bid or ask is unavailable.
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"""
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tick = get_tick_snapshot(client, symbol)
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bid = tick.get("bid")
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ask = tick.get("ask")
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if not isinstance(bid, int | float) or not isinstance(ask, int | float):
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bid = _valid_tick_price(tick, "bid")
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ask = _valid_tick_price(tick, "ask")
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if bid is None or ask is None:
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msg = f"Tick bid/ask is unavailable for {symbol!r}."
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raise Mt5TradingError(msg)
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if bid <= 0 or ask <= 0:
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msg = f"Tick bid/ask must be positive for {symbol!r}."
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raise Mt5TradingError(msg)
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return (float(ask) - float(bid)) / ((float(ask) + float(bid)) / 2.0)
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return (ask - bid) / ((ask + bid) / 2.0)
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def calculate_new_position_margin_ratio(
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@@ -720,9 +813,10 @@ def calculate_new_position_margin_ratio(
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margin = float(account.get("margin") or 0.0)
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if new_position_side is not None and new_position_volume > 0:
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side = _normalize_order_side(new_position_side)
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tick = get_tick_snapshot(client, symbol)
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price = tick["ask"] if side == "BUY" else tick["bid"]
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if not isinstance(price, int | float) or price <= 0:
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price = _valid_tick_price(
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get_tick_snapshot(client, symbol), "ask" if side == "BUY" else "bid"
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)
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if price is None:
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msg = f"Tick price is unavailable for {symbol!r}."
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raise Mt5TradingError(msg)
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order_type = (
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@@ -780,28 +874,8 @@ def calculate_margin_and_volume(
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"SELL",
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)
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else:
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native_calculate_volume = getattr(client, "calculate_volume_by_margin", None)
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if callable(native_calculate_volume):
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buy_volume = float(
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cast(
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"float | int | str",
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native_calculate_volume(symbol, trade_margin, "BUY"),
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),
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)
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sell_volume = float(
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cast(
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"float | int | str",
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native_calculate_volume(symbol, trade_margin, "SELL"),
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),
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||||
)
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else:
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buy_volume = calculate_volume_by_margin(client, symbol, trade_margin, "BUY")
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sell_volume = calculate_volume_by_margin(
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client,
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symbol,
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trade_margin,
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"SELL",
|
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)
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buy_volume = calculate_volume_by_margin(client, symbol, trade_margin, "BUY")
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sell_volume = calculate_volume_by_margin(client, symbol, trade_margin, "SELL")
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try:
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symbol_info = get_symbol_snapshot(client, symbol)
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volume_min = float(symbol_info.get("volume_min") or 0.0)
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@@ -830,7 +904,9 @@ def calculate_volume_by_margin(
|
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"""Calculate max normalized volume affordable for one side.
|
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|
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Returns:
|
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Affordable volume rounded down to symbol volume constraints.
|
||||
Largest stepped volume whose actual margin (from ``order_calc_margin``)
|
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fits within ``available_margin``, rounded down to symbol volume
|
||||
constraints; ``0.0`` when no affordable step exists.
|
||||
|
||||
Raises:
|
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Mt5TradingError: If symbol volume constraints or tick data are invalid.
|
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@@ -845,9 +921,10 @@ def calculate_volume_by_margin(
|
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msg = f"Invalid volume constraints for {symbol!r}."
|
||||
raise Mt5TradingError(msg)
|
||||
side = _normalize_order_side(order_side)
|
||||
tick = get_tick_snapshot(client, symbol)
|
||||
price = tick["ask"] if side == "BUY" else tick["bid"]
|
||||
if not isinstance(price, int | float) or price <= 0:
|
||||
price = _valid_tick_price(
|
||||
get_tick_snapshot(client, symbol), "ask" if side == "BUY" else "bid"
|
||||
)
|
||||
if price is None:
|
||||
msg = f"Tick price is unavailable for {symbol!r}."
|
||||
raise Mt5TradingError(msg)
|
||||
order_type = (
|
||||
@@ -856,11 +933,38 @@ def calculate_volume_by_margin(
|
||||
min_margin = float(client.order_calc_margin(order_type, symbol, volume_min, price))
|
||||
if min_margin <= 0 or min_margin > available_margin:
|
||||
return 0.0
|
||||
raw_volume = available_margin / min_margin * volume_min
|
||||
capped = min(raw_volume, volume_max) if volume_max > 0 else raw_volume
|
||||
steps = floor(((capped - volume_min) / volume_step) + 1e-12)
|
||||
normalized = volume_min + max(0, steps) * volume_step
|
||||
return round(normalized, 10) if normalized >= volume_min else 0.0
|
||||
lo = 0
|
||||
hi = int(
|
||||
max(
|
||||
0,
|
||||
floor(
|
||||
(
|
||||
(
|
||||
min(available_margin / min_margin * volume_min, volume_max)
|
||||
if volume_max > 0
|
||||
else available_margin / min_margin * volume_min
|
||||
)
|
||||
- volume_min
|
||||
)
|
||||
/ volume_step
|
||||
+ 1e-12
|
||||
),
|
||||
)
|
||||
)
|
||||
best = -1
|
||||
|
||||
while lo <= hi:
|
||||
mid = (lo + hi) // 2
|
||||
normalized = round(volume_min + mid * volume_step, 10)
|
||||
actual = float(client.order_calc_margin(order_type, symbol, normalized, price))
|
||||
|
||||
if actual > 0 and actual <= available_margin:
|
||||
best = mid
|
||||
lo = mid + 1
|
||||
else:
|
||||
hi = mid - 1
|
||||
|
||||
return round(volume_min + best * volume_step, 10) if best >= 0 else 0.0
|
||||
|
||||
|
||||
def determine_order_limits(
|
||||
@@ -896,11 +1000,11 @@ def determine_order_limits(
|
||||
_require_protective_ratio(take_profit_ratio, "take_profit_limit_ratio")
|
||||
normalized_side = _position_side_from_order_side(side)
|
||||
tick = get_tick_snapshot(client, symbol)
|
||||
entry_value = tick["ask"] if normalized_side == "long" else tick["bid"]
|
||||
if not isinstance(entry_value, int | float):
|
||||
entry_key = "ask" if normalized_side == "long" else "bid"
|
||||
entry = _valid_tick_price(tick, entry_key)
|
||||
if entry is None:
|
||||
msg = f"Tick price is unavailable for {symbol!r}."
|
||||
raise Mt5TradingError(msg)
|
||||
entry = float(entry_value)
|
||||
try:
|
||||
symbol_info = get_symbol_snapshot(client, symbol)
|
||||
except (AttributeError, KeyError, TypeError, ValueError):
|
||||
@@ -976,8 +1080,8 @@ def place_market_order(
|
||||
if not dry_run:
|
||||
ensure_symbol_selected(client, symbol)
|
||||
tick = get_tick_snapshot(client, symbol)
|
||||
price = tick["ask"] if side == "BUY" else tick["bid"]
|
||||
if not isinstance(price, int | float) or price <= 0:
|
||||
price = _valid_tick_price(tick, "ask" if side == "BUY" else "bid")
|
||||
if price is None:
|
||||
msg = f"Tick price is unavailable for {symbol!r}."
|
||||
raise Mt5TradingError(msg)
|
||||
request = {
|
||||
@@ -987,7 +1091,7 @@ def place_market_order(
|
||||
"type": (
|
||||
client.mt5.ORDER_TYPE_BUY if side == "BUY" else client.mt5.ORDER_TYPE_SELL
|
||||
),
|
||||
"price": float(price),
|
||||
"price": price,
|
||||
"type_filling": _resolve_mt5_constant(
|
||||
client.mt5,
|
||||
"ORDER_FILLING",
|
||||
|
||||
+1
-2
@@ -1,6 +1,6 @@
|
||||
[project]
|
||||
name = "mt5cli"
|
||||
version = "0.9.0"
|
||||
version = "0.9.2"
|
||||
description = "Generic MT5 data and execution infrastructure for Python applications"
|
||||
authors = [{name = "dceoy", email = "dceoy@users.noreply.github.com"}]
|
||||
maintainers = [{name = "dceoy", email = "dceoy@users.noreply.github.com"}]
|
||||
@@ -124,7 +124,6 @@ ignore = [
|
||||
]
|
||||
|
||||
[tool.ruff.lint.per-file-ignores]
|
||||
"mt5cli/history.py" = ["TC003"]
|
||||
"tests/**/*.py" = [
|
||||
"DOC201", # Missing return documentation
|
||||
"DOC501", # Raised exception missing from docstring
|
||||
|
||||
+417
-33
@@ -2,6 +2,7 @@
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import logging
|
||||
from types import SimpleNamespace
|
||||
from typing import Any, cast
|
||||
from unittest.mock import MagicMock
|
||||
@@ -18,9 +19,12 @@ from mt5cli.trading import (
|
||||
MarginVolume,
|
||||
OrderExecutionResult,
|
||||
OrderLimits,
|
||||
_valid_tick_price, # type: ignore[reportPrivateUsage]
|
||||
calculate_margin_and_volume,
|
||||
calculate_new_position_margin_ratio,
|
||||
calculate_positions_margin,
|
||||
calculate_positions_margin_by_symbol,
|
||||
calculate_positions_margin_safe,
|
||||
calculate_spread_ratio,
|
||||
calculate_volume_by_margin,
|
||||
close_open_positions,
|
||||
@@ -122,12 +126,14 @@ class TestDetectPositionSide:
|
||||
class TestCalculateMarginAndVolume:
|
||||
"""Tests for calculate_margin_and_volume."""
|
||||
|
||||
def test_calculates_margin_budget_and_volumes(self) -> None:
|
||||
def test_calculates_margin_budget_and_volumes(self, mocker: MockerFixture) -> None:
|
||||
"""Test margin budget and buy/sell volumes are derived from ratios."""
|
||||
client = MagicMock()
|
||||
client.account_info_as_dict.return_value = {"margin_free": 1000.0}
|
||||
client.calculate_volume_by_margin.side_effect = [0.3, 0.2]
|
||||
client.symbol_info_as_dict.side_effect = AttributeError("missing")
|
||||
mock_calc_vol = mocker.patch(
|
||||
"mt5cli.trading.calculate_volume_by_margin", side_effect=[0.3, 0.2]
|
||||
)
|
||||
|
||||
result = calculate_margin_and_volume(
|
||||
client,
|
||||
@@ -146,8 +152,8 @@ class TestCalculateMarginAndVolume:
|
||||
"volume_max": 0.0,
|
||||
"volume_step": 0.0,
|
||||
}
|
||||
client.calculate_volume_by_margin.assert_any_call("EURUSD", 400.0, "BUY")
|
||||
client.calculate_volume_by_margin.assert_any_call("EURUSD", 400.0, "SELL")
|
||||
mock_calc_vol.assert_any_call(client, "EURUSD", 400.0, "BUY")
|
||||
mock_calc_vol.assert_any_call(client, "EURUSD", 400.0, "SELL")
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
("account_dict", "expected_margin_free"),
|
||||
@@ -161,11 +167,15 @@ class TestCalculateMarginAndVolume:
|
||||
self,
|
||||
account_dict: dict[str, float | None],
|
||||
expected_margin_free: float,
|
||||
mocker: MockerFixture,
|
||||
) -> None:
|
||||
"""Test missing or zero margin_free yields zero trade margin."""
|
||||
client = MagicMock()
|
||||
client.account_info_as_dict.return_value = account_dict
|
||||
client.calculate_volume_by_margin.return_value = 0.0
|
||||
client.symbol_info_as_dict.side_effect = AttributeError("missing")
|
||||
mock_calc_vol = mocker.patch(
|
||||
"mt5cli.trading.calculate_volume_by_margin", return_value=0.0
|
||||
)
|
||||
|
||||
result = calculate_margin_and_volume(
|
||||
client,
|
||||
@@ -175,14 +185,19 @@ class TestCalculateMarginAndVolume:
|
||||
)
|
||||
|
||||
assert result["margin_free"] == expected_margin_free
|
||||
client.calculate_volume_by_margin.assert_any_call("EURUSD", 0.0, "BUY")
|
||||
client.calculate_volume_by_margin.assert_any_call("EURUSD", 0.0, "SELL")
|
||||
_assert_close(result["buy_volume"], 0.0)
|
||||
_assert_close(result["sell_volume"], 0.0)
|
||||
mock_calc_vol.assert_any_call(client, "EURUSD", 0.0, "BUY")
|
||||
mock_calc_vol.assert_any_call(client, "EURUSD", 0.0, "SELL")
|
||||
|
||||
def test_clamps_negative_margin_free_to_zero(self) -> None:
|
||||
def test_clamps_negative_margin_free_to_zero(self, mocker: MockerFixture) -> None:
|
||||
"""Test negative margin_free is clamped to zero before sizing."""
|
||||
client = MagicMock()
|
||||
client.account_info_as_dict.return_value = {"margin_free": -500.0}
|
||||
client.calculate_volume_by_margin.return_value = 0.0
|
||||
client.symbol_info_as_dict.side_effect = AttributeError("missing")
|
||||
mock_calc_vol = mocker.patch(
|
||||
"mt5cli.trading.calculate_volume_by_margin", return_value=0.0
|
||||
)
|
||||
|
||||
result = calculate_margin_and_volume(
|
||||
client,
|
||||
@@ -191,10 +206,11 @@ class TestCalculateMarginAndVolume:
|
||||
preserved_margin_ratio=0.2,
|
||||
)
|
||||
|
||||
expected_margin_free = 0.0
|
||||
assert result["margin_free"] == expected_margin_free
|
||||
client.calculate_volume_by_margin.assert_any_call("EURUSD", 0.0, "BUY")
|
||||
client.calculate_volume_by_margin.assert_any_call("EURUSD", 0.0, "SELL")
|
||||
_assert_close(result["margin_free"], 0.0)
|
||||
_assert_close(result["buy_volume"], 0.0)
|
||||
_assert_close(result["sell_volume"], 0.0)
|
||||
mock_calc_vol.assert_any_call(client, "EURUSD", 0.0, "BUY")
|
||||
mock_calc_vol.assert_any_call(client, "EURUSD", 0.0, "SELL")
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
("unit_ratio", "preserved_ratio"),
|
||||
@@ -412,6 +428,55 @@ class TestDetermineOrderLimits:
|
||||
with pytest.raises(Mt5TradingError, match="Tick price is unavailable"):
|
||||
determine_order_limits(client, "EURUSD", "long")
|
||||
|
||||
def test_accepts_numeric_string_entry(self) -> None:
|
||||
"""Test numeric string ask/bid values are accepted as entry prices."""
|
||||
client = MagicMock()
|
||||
client.symbol_info_tick_as_dict.return_value = {
|
||||
"ask": "1.1010",
|
||||
"bid": "1.1000",
|
||||
}
|
||||
client.symbol_info_as_dict.return_value = {"digits": 4}
|
||||
|
||||
result = determine_order_limits(client, "EURUSD", "long")
|
||||
|
||||
_assert_close(result["entry"], 1.1010)
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
("side", "field", "bad_value"),
|
||||
[
|
||||
("long", "ask", float("nan")),
|
||||
("long", "ask", float("inf")),
|
||||
("long", "ask", float("-inf")),
|
||||
("long", "ask", 0.0),
|
||||
("long", "ask", -1.0),
|
||||
("long", "ask", True),
|
||||
("long", "ask", False),
|
||||
("long", "ask", "invalid"),
|
||||
("short", "bid", float("nan")),
|
||||
("short", "bid", float("inf")),
|
||||
("short", "bid", float("-inf")),
|
||||
("short", "bid", 0.0),
|
||||
("short", "bid", -1.0),
|
||||
("short", "bid", True),
|
||||
("short", "bid", False),
|
||||
("short", "bid", "invalid"),
|
||||
],
|
||||
)
|
||||
def test_rejects_invalid_entry_tick_values(
|
||||
self,
|
||||
side: str,
|
||||
field: str,
|
||||
bad_value: object,
|
||||
) -> None:
|
||||
"""Test invalid entry tick values raise Mt5TradingError."""
|
||||
tick: dict[str, object] = {"ask": 1.1, "bid": 1.0}
|
||||
tick[field] = bad_value
|
||||
client = MagicMock()
|
||||
client.symbol_info_tick_as_dict.return_value = tick
|
||||
|
||||
with pytest.raises(Mt5TradingError, match="Tick price is unavailable"):
|
||||
determine_order_limits(client, "EURUSD", side)
|
||||
|
||||
def test_rejects_stop_loss_inside_broker_stop_level(self) -> None:
|
||||
"""Test stop-loss prices closer than trade_stops_level raise Mt5TradingError."""
|
||||
client = MagicMock()
|
||||
@@ -778,6 +843,50 @@ class TestSnapshotsAndState:
|
||||
with pytest.raises(Mt5TradingError):
|
||||
calculate_spread_ratio(client, "EURUSD")
|
||||
|
||||
def test_calculate_spread_ratio_accepts_numeric_string_tick(self) -> None:
|
||||
"""Test numeric string bid/ask values are accepted."""
|
||||
client = MagicMock()
|
||||
client.symbol_info_tick_as_dict.return_value = {"bid": "99.0", "ask": "101.0"}
|
||||
|
||||
_assert_close(calculate_spread_ratio(client, "EURUSD"), 0.02)
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
("field", "bad_value"),
|
||||
[
|
||||
("bid", None),
|
||||
("bid", float("nan")),
|
||||
("bid", float("inf")),
|
||||
("bid", float("-inf")),
|
||||
("bid", 0.0),
|
||||
("bid", -1.0),
|
||||
("bid", True),
|
||||
("bid", False),
|
||||
("bid", "invalid"),
|
||||
("ask", None),
|
||||
("ask", float("nan")),
|
||||
("ask", float("inf")),
|
||||
("ask", float("-inf")),
|
||||
("ask", 0.0),
|
||||
("ask", -1.0),
|
||||
("ask", True),
|
||||
("ask", False),
|
||||
("ask", "invalid"),
|
||||
],
|
||||
)
|
||||
def test_calculate_spread_ratio_rejects_invalid_tick_values(
|
||||
self,
|
||||
field: str,
|
||||
bad_value: object,
|
||||
) -> None:
|
||||
"""Test invalid bid/ask values raise Mt5TradingError."""
|
||||
tick: dict[str, object] = {"bid": 100.0, "ask": 100.0}
|
||||
tick[field] = bad_value
|
||||
client = MagicMock()
|
||||
client.symbol_info_tick_as_dict.return_value = tick
|
||||
|
||||
with pytest.raises(Mt5TradingError, match="Tick bid/ask is unavailable"):
|
||||
calculate_spread_ratio(client, "EURUSD")
|
||||
|
||||
|
||||
class TestNormalizeOrderVolume:
|
||||
"""Tests for normalize_order_volume."""
|
||||
@@ -1375,6 +1484,67 @@ class TestVolumeAndExecution:
|
||||
with pytest.raises(Mt5TradingError):
|
||||
calculate_volume_by_margin(client, "EURUSD", 100.0, "SELL")
|
||||
|
||||
def test_calculate_volume_by_margin_steps_down_when_margin_exceeds_budget(
|
||||
self,
|
||||
) -> None:
|
||||
"""Tiered margin: binary search returns the largest affordable step."""
|
||||
client = _mock_trade_client()
|
||||
client.symbol_info_as_dict.return_value = {
|
||||
"volume_min": 0.1,
|
||||
"volume_max": 1.0,
|
||||
"volume_step": 0.1,
|
||||
}
|
||||
client.symbol_info_tick_as_dict.return_value = {"ask": 100.0, "bid": 99.0}
|
||||
# min_margin (0.1): 25.0 -> hi=4.
|
||||
# Search: mid=2 (0.3)->75<=130, mid=3 (0.4)->100<=130, mid=4 (0.5)->150>130.
|
||||
client.order_calc_margin.side_effect = [25.0, 75.0, 100.0, 150.0]
|
||||
|
||||
result = calculate_volume_by_margin(client, "EURUSD", 130.0, "BUY")
|
||||
|
||||
_assert_close(result, 0.4)
|
||||
|
||||
def test_calculate_volume_by_margin_returns_zero_when_all_steps_unaffordable(
|
||||
self,
|
||||
) -> None:
|
||||
"""If all binary-search probes exceed budget, returns zero."""
|
||||
client = _mock_trade_client()
|
||||
client.symbol_info_as_dict.return_value = {
|
||||
"volume_min": 0.1,
|
||||
"volume_max": 0.5,
|
||||
"volume_step": 0.1,
|
||||
}
|
||||
client.symbol_info_tick_as_dict.return_value = {"ask": 100.0, "bid": 99.0}
|
||||
# min_margin (0.1): 10.0 -> hi=4.
|
||||
# Search: mid=2 (0.3)->150>130->hi=1, mid=0 (0.1)->150>130->hi=-1.
|
||||
client.order_calc_margin.side_effect = [10.0, 150.0, 150.0]
|
||||
|
||||
result = calculate_volume_by_margin(client, "EURUSD", 130.0, "BUY")
|
||||
|
||||
_assert_close(result, 0.0)
|
||||
|
||||
def test_calculate_volume_by_margin_binary_search_is_bounded(self) -> None:
|
||||
"""Binary search finds the largest affordable volume in O(log n) MT5 calls."""
|
||||
client = _mock_trade_client()
|
||||
client.symbol_info_as_dict.return_value = {
|
||||
"volume_min": 0.01,
|
||||
"volume_max": 1000.0,
|
||||
"volume_step": 0.01,
|
||||
}
|
||||
client.symbol_info_tick_as_dict.return_value = {"ask": 100.0, "bid": 99.0}
|
||||
# Steps 0-50000 cost 0.001 (affordable); steps 50001+ cost 2000.0 (not).
|
||||
# Total range: 99999 steps. Linear scan: ~50000 calls; binary search: ~17.
|
||||
affordable_step = 50000
|
||||
|
||||
def _margin(_ot: int, _sym: str, volume: float, _px: float) -> float:
|
||||
step = round((volume - 0.01) / 0.01)
|
||||
return 0.001 if step <= affordable_step else 2000.0
|
||||
|
||||
client.order_calc_margin.side_effect = _margin
|
||||
result = calculate_volume_by_margin(client, "EURUSD", 200.0, "BUY")
|
||||
|
||||
_assert_close(result, 500.01) # 0.01 + 50000 * 0.01
|
||||
assert client.order_calc_margin.call_count <= 25
|
||||
|
||||
def test_calculate_margin_and_volume_without_native_helper(self) -> None:
|
||||
"""Test margin helper uses module volume calculation when needed."""
|
||||
|
||||
@@ -1401,7 +1571,7 @@ class TestVolumeAndExecution:
|
||||
) -> float:
|
||||
assert order_type in {10, 11}
|
||||
assert symbol == "EURUSD"
|
||||
_assert_close(volume, 0.1)
|
||||
assert 0.1 <= volume <= 1.0
|
||||
_assert_close(price, 100.0)
|
||||
return 10.0
|
||||
|
||||
@@ -1553,18 +1723,34 @@ class TestVolumeAndExecution:
|
||||
preserved_margin_ratio=0.0,
|
||||
)
|
||||
|
||||
def test_calculate_margin_and_volume_positive_ratio_uses_existing_behavior(
|
||||
def test_calculate_margin_and_volume_positive_ratio_avoids_oversized_native_volume(
|
||||
self,
|
||||
) -> None:
|
||||
"""Test positive unit ratios keep proportional native sizing."""
|
||||
"""Regression: module path is used even when native helper is present.
|
||||
|
||||
The pdmt5 linear estimate (floor(40/10)*0.1 = 0.4) would overstate
|
||||
affordable volume because order_calc_margin returns 45.0 for 0.4 lots,
|
||||
exceeding the 40.0 budget. The module's verified binary search returns
|
||||
0.3 (margin=30.0), which is safe.
|
||||
"""
|
||||
client = _mock_trade_client()
|
||||
client.account_info_as_dict.return_value = {"margin_free": 100.0}
|
||||
client.calculate_volume_by_margin.side_effect = [0.4, 0.3]
|
||||
client.symbol_info_as_dict.return_value = {
|
||||
"volume_min": 0.1,
|
||||
"volume_max": 1.0,
|
||||
"volume_step": 0.1,
|
||||
}
|
||||
client.symbol_info_tick_as_dict.return_value = {"ask": 100.0, "bid": 99.0}
|
||||
client.calculate_volume_by_margin.return_value = 0.4 # pdmt5 linear oversized
|
||||
|
||||
def _mock_calc_margin(
|
||||
_order_type: int, _symbol: str, volume: float, _price: float
|
||||
) -> float:
|
||||
if volume <= 0.3:
|
||||
return round(volume * 100.0, 10) # 0.1→10, 0.2→20, 0.3→30
|
||||
return round(volume * 112.5, 10) # 0.4→45 — exceeds 40.0 budget
|
||||
|
||||
client.order_calc_margin.side_effect = _mock_calc_margin
|
||||
|
||||
result = calculate_margin_and_volume(
|
||||
client,
|
||||
@@ -1574,30 +1760,25 @@ class TestVolumeAndExecution:
|
||||
)
|
||||
|
||||
_assert_close(result["trade_margin"], 40.0)
|
||||
_assert_close(result["buy_volume"], 0.4)
|
||||
_assert_close(result["buy_volume"], 0.3)
|
||||
_assert_close(result["sell_volume"], 0.3)
|
||||
client.calculate_volume_by_margin.assert_any_call("EURUSD", 40.0, "BUY")
|
||||
client.calculate_volume_by_margin.assert_any_call("EURUSD", 40.0, "SELL")
|
||||
client.calculate_volume_by_margin.assert_not_called()
|
||||
|
||||
def test_calculate_margin_and_volume_handles_missing_symbol_snapshot(
|
||||
def test_calculate_margin_and_volume_positive_ratio_raises_on_missing_symbol_info(
|
||||
self,
|
||||
) -> None:
|
||||
"""Test missing symbol metadata falls back to zero volume constraints."""
|
||||
"""Test missing symbol info propagates an error when ratio is positive."""
|
||||
client = MagicMock()
|
||||
client.account_info_as_dict.return_value = {"margin_free": 1000.0}
|
||||
client.calculate_volume_by_margin.side_effect = [0.3, 0.2]
|
||||
client.symbol_info_as_dict.side_effect = AttributeError("missing")
|
||||
|
||||
result = calculate_margin_and_volume(
|
||||
client,
|
||||
"EURUSD",
|
||||
unit_margin_ratio=0.5,
|
||||
preserved_margin_ratio=0.2,
|
||||
)
|
||||
|
||||
_assert_close(result["volume_min"], 0.0)
|
||||
_assert_close(result["volume_max"], 0.0)
|
||||
_assert_close(result["volume_step"], 0.0)
|
||||
with pytest.raises(AttributeError, match="missing"):
|
||||
calculate_margin_and_volume(
|
||||
client,
|
||||
"EURUSD",
|
||||
unit_margin_ratio=0.5,
|
||||
preserved_margin_ratio=0.2,
|
||||
)
|
||||
|
||||
def test_new_position_margin_ratio_adds_hypothetical_margin(self) -> None:
|
||||
"""Test hypothetical order margin is added to account margin."""
|
||||
@@ -2895,3 +3076,206 @@ class TestFetchLatestClosedRatesIndexed:
|
||||
assert "open" in result.columns
|
||||
assert "close" in result.columns
|
||||
assert isinstance(result.index, pd.DatetimeIndex)
|
||||
|
||||
|
||||
class TestValidTickPrice:
|
||||
"""Tests for the _valid_tick_price internal helper (#49)."""
|
||||
|
||||
def test_valid_positive_float(self) -> None:
|
||||
"""Returns a positive float value unchanged."""
|
||||
_assert_close(_valid_tick_price({"bid": 1.1000}, "bid"), 1.1000)
|
||||
|
||||
def test_valid_positive_int(self) -> None:
|
||||
"""Accepts an integer value and returns it as float."""
|
||||
result = _valid_tick_price({"bid": 2}, "bid")
|
||||
_assert_close(result, 2.0)
|
||||
assert isinstance(result, float)
|
||||
|
||||
def test_valid_numeric_string(self) -> None:
|
||||
"""Accepts a numeric string and returns the parsed float."""
|
||||
_assert_close(_valid_tick_price({"bid": "1.5"}, "bid"), 1.5)
|
||||
|
||||
def test_missing_key(self) -> None:
|
||||
"""Returns None when the key is absent from the tick dict."""
|
||||
assert _valid_tick_price({}, "bid") is None
|
||||
|
||||
def test_none_value(self) -> None:
|
||||
"""Returns None when the stored value is None."""
|
||||
assert _valid_tick_price({"bid": None}, "bid") is None
|
||||
|
||||
def test_invalid_string(self) -> None:
|
||||
"""Returns None for a non-numeric string."""
|
||||
assert _valid_tick_price({"bid": "not_a_number"}, "bid") is None
|
||||
|
||||
def test_nan(self) -> None:
|
||||
"""Returns None for a NaN float."""
|
||||
assert _valid_tick_price({"bid": float("nan")}, "bid") is None
|
||||
|
||||
def test_positive_infinity(self) -> None:
|
||||
"""Returns None for positive infinity."""
|
||||
assert _valid_tick_price({"bid": float("inf")}, "bid") is None
|
||||
|
||||
def test_negative_infinity(self) -> None:
|
||||
"""Returns None for negative infinity."""
|
||||
assert _valid_tick_price({"bid": float("-inf")}, "bid") is None
|
||||
|
||||
def test_zero(self) -> None:
|
||||
"""Returns None for zero (not a valid price)."""
|
||||
assert _valid_tick_price({"bid": 0.0}, "bid") is None
|
||||
|
||||
def test_negative_value(self) -> None:
|
||||
"""Returns None for a negative price."""
|
||||
assert _valid_tick_price({"bid": -1.0}, "bid") is None
|
||||
|
||||
def test_unsupported_type(self) -> None:
|
||||
"""Returns None for unsupported value types such as list."""
|
||||
assert _valid_tick_price({"bid": [1.0]}, "bid") is None
|
||||
|
||||
|
||||
class TestCalculatePositionsMarginBySymbol:
|
||||
"""Tests for calculate_positions_margin_by_symbol (#50)."""
|
||||
|
||||
def test_all_symbols_succeed(self, mocker: MockerFixture) -> None:
|
||||
"""Returns one entry per symbol in first-seen order when all calls succeed."""
|
||||
client = _mock_trade_client()
|
||||
mocker.patch(
|
||||
"mt5cli.trading.calculate_positions_margin",
|
||||
side_effect=[12.5, 30.0],
|
||||
)
|
||||
|
||||
result = calculate_positions_margin_by_symbol(
|
||||
client, symbols=["EURUSD", "GBPUSD"]
|
||||
)
|
||||
|
||||
assert list(result.keys()) == ["EURUSD", "GBPUSD"]
|
||||
_assert_close(result["EURUSD"], 12.5)
|
||||
_assert_close(result["GBPUSD"], 30.0)
|
||||
|
||||
def test_one_symbol_fails_suppress_errors_true(
|
||||
self, mocker: MockerFixture, caplog: pytest.LogCaptureFixture
|
||||
) -> None:
|
||||
"""Skips the failing symbol, emits a warning, and returns the successful one."""
|
||||
client = _mock_trade_client()
|
||||
mocker.patch(
|
||||
"mt5cli.trading.calculate_positions_margin",
|
||||
side_effect=[Mt5TradingError("tick unavailable"), 30.0],
|
||||
)
|
||||
|
||||
with caplog.at_level(logging.WARNING, logger="mt5cli.trading"):
|
||||
result = calculate_positions_margin_by_symbol(
|
||||
client, symbols=["EURUSD", "GBPUSD"], suppress_errors=True
|
||||
)
|
||||
|
||||
assert result == {"GBPUSD": 30.0}
|
||||
assert any(
|
||||
"EURUSD" in record.getMessage() and record.levelno == logging.WARNING
|
||||
for record in caplog.records
|
||||
)
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"exc",
|
||||
[
|
||||
Mt5TradingError("trading error"),
|
||||
Mt5RuntimeError("runtime error"),
|
||||
AttributeError("missing attr"),
|
||||
],
|
||||
)
|
||||
def test_one_symbol_fails_suppress_errors_false(
|
||||
self, mocker: MockerFixture, exc: Exception
|
||||
) -> None:
|
||||
"""Re-raises the first failure for each caught exception type."""
|
||||
client = _mock_trade_client()
|
||||
mocker.patch(
|
||||
"mt5cli.trading.calculate_positions_margin",
|
||||
side_effect=[exc, 30.0],
|
||||
)
|
||||
|
||||
with pytest.raises(type(exc)):
|
||||
calculate_positions_margin_by_symbol(
|
||||
client, symbols=["EURUSD", "GBPUSD"], suppress_errors=False
|
||||
)
|
||||
|
||||
def test_all_symbols_fail_suppress_errors_true(self, mocker: MockerFixture) -> None:
|
||||
"""Returns an empty dict when all symbols fail with suppress_errors=True."""
|
||||
client = _mock_trade_client()
|
||||
mocker.patch(
|
||||
"mt5cli.trading.calculate_positions_margin",
|
||||
side_effect=[Mt5TradingError("err1"), Mt5TradingError("err2")],
|
||||
)
|
||||
|
||||
result = calculate_positions_margin_by_symbol(
|
||||
client, symbols=["EURUSD", "GBPUSD"], suppress_errors=True
|
||||
)
|
||||
|
||||
assert result == {}
|
||||
|
||||
def test_empty_symbol_list(self, mocker: MockerFixture) -> None:
|
||||
"""Returns an empty dict for an empty input list without any broker calls."""
|
||||
client = _mock_trade_client()
|
||||
mock_calc = mocker.patch("mt5cli.trading.calculate_positions_margin")
|
||||
result = calculate_positions_margin_by_symbol(client, symbols=[])
|
||||
assert result == {}
|
||||
mock_calc.assert_not_called()
|
||||
|
||||
def test_duplicate_symbols_preserve_first_seen_order(
|
||||
self, mocker: MockerFixture
|
||||
) -> None:
|
||||
"""Processes each unique symbol once in first-seen order."""
|
||||
client = _mock_trade_client()
|
||||
mock_calc = mocker.patch(
|
||||
"mt5cli.trading.calculate_positions_margin",
|
||||
return_value=12.5,
|
||||
)
|
||||
|
||||
result = calculate_positions_margin_by_symbol(
|
||||
client, symbols=["EURUSD", "GBPUSD", "EURUSD"]
|
||||
)
|
||||
|
||||
assert list(result.keys()) == ["EURUSD", "GBPUSD"]
|
||||
assert mock_calc.call_count == 2
|
||||
|
||||
|
||||
class TestCalculatePositionsMarginSafe:
|
||||
"""Tests for calculate_positions_margin_safe (#50)."""
|
||||
|
||||
def test_returns_summed_total(self, mocker: MockerFixture) -> None:
|
||||
"""Returns the sum of all per-symbol margins."""
|
||||
client = _mock_trade_client()
|
||||
mocker.patch(
|
||||
"mt5cli.trading.calculate_positions_margin",
|
||||
side_effect=[12.5, 30.0],
|
||||
)
|
||||
|
||||
total = calculate_positions_margin_safe(client, symbols=["EURUSD", "GBPUSD"])
|
||||
|
||||
_assert_close(total, 42.5)
|
||||
|
||||
def test_partial_failure_skips_and_sums(self, mocker: MockerFixture) -> None:
|
||||
"""Sums only successful margins when one symbol raises."""
|
||||
client = _mock_trade_client()
|
||||
mocker.patch(
|
||||
"mt5cli.trading.calculate_positions_margin",
|
||||
side_effect=[Mt5TradingError("tick unavailable"), 30.0],
|
||||
)
|
||||
|
||||
total = calculate_positions_margin_safe(client, symbols=["EURUSD", "GBPUSD"])
|
||||
|
||||
_assert_close(total, 30.0)
|
||||
|
||||
def test_all_symbols_fail_returns_zero(self, mocker: MockerFixture) -> None:
|
||||
"""Returns 0.0 when every symbol raises."""
|
||||
client = _mock_trade_client()
|
||||
mocker.patch(
|
||||
"mt5cli.trading.calculate_positions_margin",
|
||||
side_effect=[Mt5TradingError("err1"), Mt5RuntimeError("err2")],
|
||||
)
|
||||
|
||||
total = calculate_positions_margin_safe(client, symbols=["EURUSD", "GBPUSD"])
|
||||
|
||||
_assert_close(total, 0.0)
|
||||
|
||||
def test_empty_symbols_returns_zero(self) -> None:
|
||||
"""Returns 0.0 for an empty symbol list."""
|
||||
client = _mock_trade_client()
|
||||
total = calculate_positions_margin_safe(client, symbols=[])
|
||||
_assert_close(total, 0.0)
|
||||
|
||||
Reference in New Issue
Block a user