Commit Graph

13 Commits

Author SHA1 Message Date
dennisthiessen 2f21c685e8 feat: always-fresh sentiment for top picks, watchlist & open trades
Tiered, uncapped sentiment scope so the names that matter are never shown
without sentiment.

- Priority (always fully refreshed): top-pick feeders — momentum leaders with a
  tradeable long setup over the R:R floor (the tickers that are, or could become
  with positive sentiment, the dashboard top pick) — plus the curated watchlist
  and open paper trades.
- Filler: top-N by composite, a discovery net, fetched after the priority set so
  a mid-run rate limit lands the important names first.
- Removed the per-run cap (sentiment_max_per_run): the relevant set is naturally
  bounded (watchlist <= 20, composite <= top_composite), so a full refresh stays
  inside the free tier. extra="ignore" keeps a stale env var from breaking startup.
- Refresh window 72h -> 120h (5 days): sentiment shifts slowly, score window is 7d.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-27 15:59:58 +02:00
dennisthiessen ebff19940b feat: add standalone AI/Tech regime-change monitor tab
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A new /regime tab scoring how far the AI/Tech bull regime has deteriorated
toward a re-rating as a single 0-100 index with per-signal breakdown and a
7/30-day trend. Intentionally decoupled: nothing reads its output to gate or
score trades — the daily-pipeline membership is scheduling only.

- regime_monitor_service: price sub-scores (P1-P6 via Alpaca, like
  market_regime), VIX + HY credit spreads via a small FRED helper, weighted
  aggregation over available signals (missing source -> n/a, dropped from the
  denominator), one snapshot row/day, and a ~90-day history backfill by
  replaying the already-fetched series as-of each past day.
- F1/F3 fundamentals proposed by the configured grounded LLM (reuses
  sentiment_provider_service config resolution), with a manual override + lock.
- regime_snapshots table (migration 011); endpoints on the existing market
  router; admin-editable weights/threshold; standalone /regime page.

Data needs: prices via Alpaca, VIX/credit via FRED (optional key — signals show
n/a without it). No LLM needed for history.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-26 11:51:45 +02:00
dennisthiessen 7060b9a019 parallelize the backtest across worker processes (true multi-core)
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The replay was CPU-bound and single-core: the earlier asyncio.to_thread offload
kept the API responsive but, because of the GIL, ran on one core. Per-ticker
replay is independent, so fan it out across worker processes (which sidestep the
GIL) for real multi-core speedup.

- New `settings.backtest_workers` (default 4), capped to cpu_count-1 so a core
  stays free for the web server.
- Uses a `forkserver` context (workers forked from a clean single-threaded
  server — avoids the fork-with-threads deadlock); falls back to `fork`. On
  spawn-only platforms (Windows) and for 1-ticker runs it uses the thread path,
  so dev/tests are unaffected.
- Worker takes primitive column arrays (cheap to pickle), rebuilds bars, and
  returns (candidates, plain-dict signal series) — both picklable across the
  process boundary. Bars are still fetched in the event loop (ORM-safe).
- Pool creation is guarded: if the pool can't start, the job falls back to the
  sequential thread path instead of failing.

334 backend tests pass (parallel path is POSIX/server-only, so it's covered by
construction + the picklability/worker-count tests; the thread fallback is
exercised by the run_backtest smoke test).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-23 23:20:20 +02:00
dennisthiessen 099846513b deepen OHLCV history + make the factor-IC pass honest about overlap/regime
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Two changes so the cross-sectional signal results can actually be trusted.

(a) History depth — the binding constraint. Ingestion defaulted to 365 days, so
long-lookback factors (12-month momentum, 52-week high) were only computable on a
handful of weeks at the tail, and every IC reflected a single market regime.
- New `settings.ohlcv_history_days` (default 1825 ≈ 5y); new tickers backfill this
  far instead of 1 year.
- New manual "data_backfill" job (Admin → Jobs) re-fetches the full window for
  every ticker, ignoring incremental resume — run once to deepen existing
  1-year histories. Idempotent (upsert); resumes after rate limits.

(b) Factor-IC honesty. The IC was averaged over weekly rebalances whose 30-day
forward windows overlap, inflating the t-stat ~sqrt(6)x.
- IC now measured on NON-OVERLAPPING windows (weeks thinned to ~HORIZON apart).
- Each signal carries a `reliable` flag (>= 12 independent windows); BacktestPanel
  greys out and de-stars thin signals so a lucky 9-week IC of 0.3 can't masquerade
  as an edge.

332 backend tests pass; frontend build clean. No migration (config + job + an
added JSON field on the cached backtest report).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-23 18:20:59 +02:00
dennisthiessen 9008865d75 run fundamentals weekly, not daily — it's quarterly-ish data
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Pulled the fundamental collector out of the daily pipeline (where it re-fetched
near-identical numbers every day and burned free-tier API quota) and made it an
independent weekly job. P/E/market-cap drift with price but the score buckets
them coarsely; revenue growth and earnings surprise only change at quarterly
earnings. Added "weekly" to the frequency map; fundamental_fetch_frequency now
defaults to weekly (configurable).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-17 11:23:16 +02:00
dennisthiessen e5166ed668 sentiment: LLM buy/hold/avoid + full analysis, and search-budget scoping
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Richer LLM output (same grounded call, ~no extra cost):
- All providers now also return a recommendation (buy/hold/avoid) and a thorough
  reasoning paragraph; Gemini now actually captures reasoning + grounding
  citations (it was dropping them). Stored on sentiment_scores (migration 008),
  exposed in the API; display-only — NOT fed into the composite/EV.
- Ticker Sentiment panel shows an "LLM view" badge and a "Full analysis & sources"
  expander with the complete reasoning + citations.

Search-budget scoping (Gemini grounding free tier = 5000/mo):
- collect_sentiment now targets only watchlist + open paper trades + top-N by
  composite, skips tickers refreshed within sentiment_fresh_hours (72h), and caps
  per run (sentiment_max_per_run). Once the relevant set is fresh, runs spend 0
  searches until it ages out — bounding monthly usage well under the free tier.
- Widened sentiment lookback to 7d (scoring + display) so sparser collection
  still feeds the dimension score.

Deploy: alembic upgrade (sentiment_scores.recommendation). Switch provider to
Gemini Flash in Admin for the cost win (grounded, cheapest).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-16 16:34:19 +02:00
dennisthiessen f24e5070ee fix bulk fundamentals: rate limits masked by partial FMP success
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Root cause of "price plan needed in bulk but fine on manual reload": on free
tiers FMP returns only market cap (others 402) and the chain merged that as a
partial success — so when the Finnhub/Alpha Vantage fallbacks were rate-limited
during a bulk run, the chain silently returned market-cap-only and the
collector's backoff never engaged. Manual single fetches worked because the
fallbacks weren't throttled at that moment.

Fixes:
- Chain distinguishes RateLimitError from other failures: if a fallback is
  rate-limited and fields are still missing, raise RateLimitError (unless
  allow_partial=True) so the collector backs off and retries.
- Bulk job paces requests (fundamental_request_spacing_seconds, default 3s) to
  stay under Finnhub's ~60/min, and on retry-exhaustion stores partial data and
  continues instead of aborting the whole run.
- Manual fetch passes allow_partial=True so a lone 429 doesn't fail the refresh.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-14 21:18:32 +02:00
dennisthiessen 5d41ccac1c add Telegram alerts: qualified setups, S/R proximity, score drops, daily digest
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Closes the action loop — instead of polling the dashboard, the platform pushes
actionable signals to Telegram. New hourly 'alerts' job dispatches four
toggleable triggers, deduped via a new alert_log table (cooldown-based for
qualified/S-R/digest, watermark-based for score deterioration). Admin → Settings
gains a Telegram panel (write-only bot token, chat ID, per-trigger toggles, Send
Test). Credentials follow DB > env precedence (TELEGRAM_BOT_TOKEN / _CHAT_ID).

Backend: alert_service + AlertLog model + migration 005, scheduler job, admin
endpoints/schema. Frontend: AlertSettings panel, hooks, api, types.

Deploy: run alembic upgrade (new alert_log table).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-14 19:42:18 +02:00
dennisthiessen 126c3b3c17 Add DeepSeek/xAI/OpenAI-compatible sentiment providers; custom dark dropdown
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Providers (admin-switchable, no redeploy):
- DeepSeek and any OpenAI-compatible endpoint (OpenRouter, Together,
  Groq, local Ollama) via a generic Chat Completions adapter + base_url
- xAI Grok with Live Search (search_parameters web+X, citations) —
  grounded tier alongside OpenAI and Gemini
- DeepSeek / generic compatible endpoints are ungrounded (no web
  search); UI shows an amber warning and labels each provider's grounding
- Optional env fallbacks DEEPSEEK_API_KEY / XAI_API_KEY

UI: replace native <select> (unstyleable white popup on Windows) with a
custom dark Dropdown component everywhere — sentiment provider, scanner
filters, market sort, indicators, admin universe, user role.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-06-13 12:42:04 +02:00
dennisthiessen 21ed83c56c Add trade setup outcome tracking and performance stats
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Closes the feedback loop on R:R scanner signals:

- Nightly outcome_evaluator job replays unresolved setups against daily
  OHLCV bars: target_hit / stop_hit / ambiguous (same-bar, counted as
  loss) / expired after OUTCOME_EVALUATION_MAX_BARS (default 30)
- Migration 004: evaluated_at + outcome_date on trade_setups
- GET /trades/performance: hit rate, expectancy (avg R), total R with
  breakdowns by direction, recommended action, and confidence bucket
- New Performance page (stat cards, breakdown tables, Evaluate Now,
  methodology disclosure) wired into sidebar and mobile nav
- 17 new unit tests for evaluation logic and stats aggregation

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-06-10 19:23:57 +02:00
Dennis Thiessen 0a011d4ce9 Big refactoring
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2026-03-03 15:20:18 +01:00
Dennis Thiessen 181cfe6588 major update
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2026-02-27 16:08:09 +01:00
Dennis Thiessen 61ab24490d first commit
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2026-02-20 17:31:01 +01:00