Chris Amow
d526001742
Verified against a live account before and after writing it. CHART_FUTURES delivers one true-OHLCV minute bar per symbol per minute, LEVEL_ONE_FUTURES reports delayed: false, and consecutive bars arrived sixty seconds apart through the production code path. Yahoo stays. Schwab serves no futures history whatever, so seed_source resolves to Yahoo even when SEED_SOURCE=schwab is asked for — the pairing is the intended configuration rather than a fallback. The symbols differ, ES=F against /ES, so Settings.live_symbol picks the live one while seeding always uses Yahoo's. Three findings worth keeping, each of which cost a round trip: - get_quote() singular returns the wrong instrument entirely. It puts the symbol in the URL path, where the leading slash is normalised away, so /ES resolves to Eversource Energy at $72 and returns HTTP 200 with a populated body. Only get_quotes() plural, which passes symbols as a query parameter, returns the future. A 200 is not evidence; assetMainType is. - Streaming requires the Accounts and Trading product. StreamClient.login() reads /trader/v1/userPreference for its socket URL, and that path does not exist in Market Data Production. - /ES resolves to the active contract on Schwab's side, so the contract roll handling the plan left open needs no code. The stream drops the oldest queued message rather than stalling the socket, and surfaces a dead pump task instead of waiting forever on a queue nothing fills. schwab-py moves into requirements.txt, imported only when LIVE_SOURCE=schwab. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
80 lines
3 KiB
Python
80 lines
3 KiB
Python
from pathlib import Path
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from pydantic_settings import BaseSettings, SettingsConfigDict
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from app.bars.models import Timeframe
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TIMEFRAME_WEIGHT = {
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Timeframe.M1: 1,
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Timeframe.M2: 1,
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Timeframe.M5: 1,
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Timeframe.M15: 2,
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Timeframe.M30: 3,
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Timeframe.H1: 4,
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Timeframe.D1: 16,
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}
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MA_WEIGHT_FACTOR = 0.75
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class Settings(BaseSettings):
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model_config = SettingsConfigDict(env_file=".env", extra="ignore")
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live_source: str = "yahoo"
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seed_source: str = "yahoo"
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yahoo_symbol: str = "ES=F"
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yahoo_poll_seconds: float = 20
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seed_1h_range: str = "730d"
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seed_1m_range: str = "8d"
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timeframes: str = "1m,5m,15m,30m,1h,1d"
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base_timeframes: str = "1m,30m,1d"
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max_bars_per_tf: int = 5000
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ma_sets__1d: str = "sma10,sma20,sma50,sma100,sma200"
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daily_anchor_et: str = "18:00"
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manual_lines_path: Path = Path("./data/manual_lines.json")
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# Schwab. Empty until the app's keys are issued; nothing reads them while
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# live_source is yahoo. The token lives under data/ so it lands on the
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# Coolify persistent volume — a rebuild would otherwise log you out, and
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# re-authenticating is an interactive browser flow.
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schwab_api_key: str = ""
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schwab_app_secret: str = ""
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schwab_callback_url: str = "https://chart.amow.com/api/qt"
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schwab_token_path: Path = Path("./data/.schwab_token.json")
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schwab_symbol: str = "/ES"
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confluence_min_score: float = 28
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# Four hours, chosen from the sweep in scripts/calibrate_alerts.py. Suppression is
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# per price zone, so an unrelated zone still alerts immediately; this only
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# governs how often the *same* area repeats itself.
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alert_cooldown_seconds: int = 14400
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ntfy_topic: str = ""
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ntfy_server: str = "https://ntfy.sh"
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chart_auth_token: str = ""
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replay_file: Path | None = None
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@property
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def live_symbol(self) -> str:
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"""What the live source calls the instrument.
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Yahoo wants ES=F, Schwab wants /ES. Seeding always uses the Yahoo
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symbol, because Yahoo is always the source of history.
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"""
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return self.schwab_symbol if self.live_source == "schwab" else self.yahoo_symbol
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@property
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def enabled_timeframes(self) -> list[Timeframe]:
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return [Timeframe(value.strip()) for value in self.timeframes.split(",") if value.strip()]
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@property
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def ma_sets(self) -> dict[Timeframe, list[tuple[str, int]]]:
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configured = {Timeframe.D1: self.ma_sets__1d}
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result: dict[Timeframe, list[tuple[str, int]]] = {}
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for tf, value in configured.items():
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definitions = []
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for item in filter(None, (part.strip().lower() for part in value.split(","))):
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kind = "sma" if item.startswith("sma") else "ema" if item.startswith("ema") else ""
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if not kind or not item[len(kind) :].isdigit():
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raise ValueError(f"Invalid MA definition: {item}")
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definitions.append((kind, int(item[len(kind) :])))
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result[tf] = definitions
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return result
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