- indicator_summary_job.py imported its own copies of _month_spend and
_latest_quotes_by_group; _market_context.py already exposes these.
Switched to the canonical imports. Also fixed _market_context's
latest_quotes_by_group to actually filter null prices (it claimed to
in its docstring but lacked the WHERE clause).
- api.py duplicated REFERENCE_LINE as CHAT_REFERENCE_LINE — same string,
two sources of truth. Now imports REFERENCE_LINE.
- Chat endpoint used the deprecated `call_openrouter` alias and passed
an explicit `model=` that bypassed the provider chain. Switched to
`call_llm` with default model selection, then removed the alias.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Server no longer holds portfolios. Holdings live in the browser
(localStorage); the server publishes an anonymous ticker_universe and a
gzipped /api/universe payload identical for every authenticated user, so
access patterns can't betray which tickers a user holds. AI commentary
is generated ephemerally from the browser-supplied pie and the cost
ledger row records no positions. Migrations 0009-0011 added the
universe table and dropped positions / portfolio_snapshots /
portfolios.
Authentication is now e-mail OTP only. Migration 0010 dropped
password_hash and email_verified (every active session is by
construction proof of email control). The /signup endpoint is gone;
signup and login share a single email-entry page. Email rendering is
HTML+plain-text multipart with a shared brand palette (app/branding.py)
asserted in sync with the CSS by a drift-detection test.
LLM provider defaults to DeepSeek-direct (cheaper, api.deepseek.com)
with OpenRouter as automatic fallback if DeepSeek fails. ai_log_job and
indicator_summary_job now iterate the two tones (NOVICE, INTERMEDIATE)
per cycle so the dashboard's tone toggle is instant; PROMPT_VERSION
bumped to 6 with an educational anti-TA / anti-gambling stance baked
into _CORE. NOVICE mode renders a curated glossary inline (CBOE VIX,
yield curve, HY OAS, etc.) with JS-positioned tooltips that survive
viewport edges and sticky bars. Model name and tokens hidden from the
user UI; still recorded in StrategicLog.model and AICall for admin.
Layout adds a sticky top nav, a sticky bottom markets bar (one chip per
exchange with status LED + headline index + 1d change), and
Phase H feedback reporting is queued in tasks/todo.md.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Two changes that together cut OpenRouter spend ~50% and give the daily
log temporal awareness.
1. CadencePolicy (app/services/cadence.py): expensive AI jobs only
fire hourly during the EU/US active window (Mon-Fri 07-21 UTC).
Off-hours weekdays throttle to every 4h; weekends to every 12h.
ai_log_job and indicator_summary_job both consult the policy before
doing real work; market/news/portfolio ingest jobs stay hourly
(cheap, no API cost). Skipped runs land in job_runs with status
'skipped' and the throttle reason in error.
2. Update mode for ai_log_job: when an earlier log exists for the
current UTC day, it's passed to the model as 'Earlier log from
today (generated HH:MM UTC)'. The system prompt grows an Update
mode section instructing the model to revise — not restart — and
anchor on what has CHANGED since the earlier draft. The TL;DR
leads with intra-day change when meaningful, the watch list evolves
rather than restarts. PROMPT_VERSION bumped to 5.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
DeepSeek occasionally regurgitates the system prompt verbatim
("Constraints: ≤60 words...", "Example good: ..."). Three-pronged fix:
1. Removed the inline good/bad example blocks from the per-group and
aggregate system prompts — DeepSeek was treating them as templates
to copy. The hard constraints alone are clear enough.
2. Expanded the LEAK_PATTERNS list to catch the prompt-label echoes
that still occasionally slip through ("Key observations:", "The
indicators are:", "Must cite ...", "Should give ...", bare "Key:").
Cleanup now runs up to 6 passes for compound leakage.
3. Added looks_like_leakage() — if the cleaned output still contains
tell-tale phrases ("≤60 words", "instructions:", etc.), the summary
is skipped rather than persisted. Logs a 'leakage_detected' warning
and an ai_calls row with status=leaked so we can see the failure
rate over time. The previous good summary stays visible.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Three new data sources hooked into the existing SOURCES registry. All
open APIs, no keys:
- EUROSTAT: prefix EUROSTAT:dataset?dim=val&... — current EU bond
yields (Bund/OAT/BTP/EZ) and Eurozone economic indicators that
FRED's OECD-mirror series stopped updating in 2022-2023.
- ONS: prefix ONS:topic/cdid/dataset — current UK CPI, unemployment,
GDP, industrial production. Replaces the 5+ month-stale FRED
LRHUTTTTGBM156S mirror.
New indicator groups in default.toml feed the strategic/fundamental
lens we converged on: valuation (CAPE/Buffett anchors), bubble_watch
(SKEW/VVIX/RSP vs SPY/HYG vs TLT/IPO/crypto), economy (multi-region,
ALL current-or-stale-flagged), bonds (UK/EU/US/JPN sovereign yields).
Indicator panel now opens with an AI "read" interpretation per group
(generated hourly at :07 UTC alongside an aggregate cross-group read
shown in the dashboard header). The aggregate is grounded by a markets
strip — NYSE/LSE/Frankfurt/Tokyo/HK/Shanghai with open/closed LEDs and
next-open countdown, computed locally from each exchange's tz.
Other UX bits: indicator-row tooltips populated from TOML notes;
rows whose last observation is >90 days old get a 'stale' chip;
ghost symbols (in DB but no longer in TOML) filtered out of the
panel; Eurostat/ONS symbols display as short codes rather than the
full API path.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
