dennisthiessenandClaude Opus 5
333989eeab
The Warning study measured a fitted percentile crossing that nothing consumes. What reaches Telegram is a quadrant change: fixed 50/40 dividers, hysteresis, two-session confirmation, 3-day cooldown. Those thresholds are constants, not fits, so there is no training set to protect and all 11 detected corrections are evaluable instead of the 4 that fell in a holdout. Replaying it: 1/10 corrections, 0.9 false alarms/year. Random alarms at the same firing rate match or beat that in 65% of draws. The panel now carries ablations (does the quadrant machinery earn its place?), external baselines (does the score earn its complexity?), and that null, because a bare "2 of 4" was unreadable in either direction. Nothing in the alert path was retuned on the strength of it. Fundamentals become a third channel rather than a term in either score. v3 cut them arguing 12+8 of 100 points "could not change any published conclusion" -- true only when every technical sensor reads zero; weighted they moved the bar for the 40 divider from 40 to 25. But no fusion weight is measurable either: with ~10 events and no fundamental history, any weight is a policy preference presented as a measurement. So the read is a categorical state (supportive/neutral/adverse/ unknown) with an evidence grade, derived by fixed rules from stored facts, read by confluence. The LLM extracts and explains; it does not score. Absence stays absence throughout. `unknown` is unreachable by averaging, a stale or empty observation may display but never confirm, extraction failures map to `unknown` rather than `mixed`, and the study rows are coverage-matched and marked not-measurable until enough corrections are covered -- otherwise a fortnight of observations renders as 0/10 and reads as a failed test. Observations become a real time series (migration 033); they lived in a single overwritten settings slot, so no history existed to replay. Pre-rename snapshots are adapted rather than discarded. METHODOLOGY stays v4 -- no score changed -- so no reseed; STUDY_SCHEMA moves to 3 and discards the cached report. Post-deploy: re-run Event Study from Admin -> Jobs. The panel reads "not run yet" until then. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
50 lines
1.6 KiB
Python
50 lines
1.6 KiB
Python
from app.models.ticker import Ticker
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from app.models.ohlcv import OHLCVRecord
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from app.models.user import User
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from app.models.sentiment import SentimentScore
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from app.models.fundamental import FundamentalData
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from app.models.fundamental_snapshot import FundamentalSnapshot
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from app.models.earnings_event import EarningsEvent
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from app.models.data_import_run import DataImportRun
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from app.models.score import DimensionScore, CompositeScore
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from app.models.sr_level import SRLevel
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from app.models.trade_setup import TradeSetup
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from app.models.watchlist import WatchlistEntry
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from app.models.settings import SystemSetting, IngestionProgress
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from app.models.alert import AlertLog
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from app.models.paper_trade import PaperTrade
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from app.models.regime_snapshot import RegimeSnapshot
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from app.models.regime_fundamental_observation import RegimeFundamentalObservation
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from app.models.benchmark_price import BenchmarkPrice
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from app.models.signal_context_snapshot import SignalContextSnapshot
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from app.models.system_event import SystemEvent
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from app.models.sec_filing_gap import SecFilingGap
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from app.models.job_run_state import JobRunState
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__all__ = [
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"Ticker",
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"OHLCVRecord",
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"User",
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"SentimentScore",
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"FundamentalData",
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"FundamentalSnapshot",
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"EarningsEvent",
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"DataImportRun",
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"DimensionScore",
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"CompositeScore",
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"SRLevel",
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"TradeSetup",
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"WatchlistEntry",
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"SystemSetting",
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"IngestionProgress",
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"AlertLog",
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"PaperTrade",
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"RegimeSnapshot",
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"RegimeFundamentalObservation",
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"BenchmarkPrice",
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"SignalContextSnapshot",
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"SystemEvent",
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"SecFilingGap",
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"JobRunState",
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]
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