providers: floor every live fetch at 1000 bars (H4/D1 indicator-seeding parity)
The engine's EMAs use ewm(adjust=False), so the first bar of a fetched frame keeps weight (1-2/201)^n in the 200-bar trend EMA. With the 60-day lookback the live H4 frame had 380 bars (seed weight 2.3%) and D1 300 (5%), while the backtester seeds from its whole cached history. Measured on the deepest Oanda caches (267 H4 / 313 D1 bars sampled over two years, raw and cleaned frames): ema_trend flipped on 2/267 H4 and 1/313 D1 bars at those depths (composite off by up to 9.5 points) and on none from 600 bars up. MIN_LIVE_BARS = 1000 leaves a seed weight of e^-10; M5/M15 (5000) and H1 (1460) already exceed it and are unchanged. One request either way. The backtester never calls fetch_ohlcv, so no book changes. Tests: new Module 16 depth test; the Module 21 cache test's 300-bar expectation becomes 1000. Suite 500 passed. Claude-Session: https://claude.ai/code/session_01NQDjW8rXYrJR4JDWMWKUij
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+21
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@@ -96,6 +96,20 @@ class BaseDataProvider(ABC):
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#: Hard per-request bar cap shared by Twelve Data and Oanda.
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MAX_BARS_PER_REQUEST = 5000
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#: Minimum bars per LIVE fetch on every timeframe (2026-09-10,
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#: indicator-seeding parity with the backtester). The engine's EMAs
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#: use ewm(adjust=False), so the first bar of the fetched frame keeps
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#: weight (1-2/201)^n in the 200-bar trend EMA. With the 60-day
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#: lookback, H4 fetched 380 bars (seed weight 2.3%) and D1 300 (5%)
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#: while the backtester seeds from its whole cached history. Measured
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#: on the deepest Oanda caches (267 H4 / 313 D1 bars sampled over two
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#: years, raw and cleaned frames alike): ema_trend flipped on 2/267 H4
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#: and 1/313 D1 bars at those depths (composite off by up to 9.5
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#: points) and on none from 600 bars up; 1000 leaves a seed weight of
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#: e^-10. M5/M15 (5000) and H1 (1460) already exceed it and are
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#: unchanged. One request either way (cap 5000).
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MIN_LIVE_BARS = 1000
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# Grace wait before the one retry when a fresh response at a candle
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# boundary is missing the just-closed bar (feed latency).
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FRESH_FETCH_RETRY_SECONDS = 3.0
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@@ -140,6 +154,12 @@ class BaseDataProvider(ABC):
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# ── Public API ─────────────────────────────────────────────────
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def _live_outputsize(self, timeframe: Timeframe, lookback_days: int) -> int:
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"""Bars requested for one live fetch: the lookback in bars, floored
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at MIN_LIVE_BARS (indicator seeding) and capped at the request cap."""
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wanted = int(lookback_days * self.BARS_PER_DAY[timeframe]) + 20
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return max(self.MIN_LIVE_BARS, min(wanted, self.MAX_BARS_PER_REQUEST))
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def fetch_ohlcv(
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self,
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symbol: str = XAUUSD,
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@@ -151,11 +171,7 @@ class BaseDataProvider(ABC):
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lookback_days = self.config.data_lookback_days
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cache_key = f"{symbol}_{timeframe.value}"
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outputsize = max(
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300,
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min(int(lookback_days * self.BARS_PER_DAY[timeframe]) + 20,
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self.MAX_BARS_PER_REQUEST),
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)
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outputsize = self._live_outputsize(timeframe, lookback_days)
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while True:
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now = time.time()
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