Batch of the pre-launch audit campaign (BUG-01…14 plus three new features):
Pricing / TP-SL protection
- Add app/services/hl_price_feed.py: supplemental HL allMids poller for
HL-native assets (HYPE, PURR) not listed on Binance. Pumps price_store +
tp_sl_monitor.on_price_tick so bot trades on these assets keep full
stop-loss / take-profit / trailing protection instead of max-hold only.
- Wire feed into main.py lifespan (startup task + graceful shutdown cancel).
Telegram
- Add format_trump_mention + PATH B in _dispatch: crypto-relevant Trump
posts with no directional signal (relevant=True, signal=hold) now alert
the public channel only (no per-subscriber noise).
- Rate limiter (slowapi) on the API; assorted bot/digest fixes.
KOL on-chain
- seed_kol_wallets.py: KOL_FEEDS coverage cross-check; reversibly deactivate
orphaned wallets (handle not in KOL_FEEDS → can never produce divergence)
so the scanner stops burning cycles on them.
Tests / misc
- Fix brittle test_macro_ahr999_uses_same_formula_as_scanner: mock now uses
realistic ms timestamps so the in-progress-day drop fires, matching the
fetcher's bar count (was 0.3179 vs 0.3178 off-by-one).
- Refresh stale notify_signal comment in truth_social.py.
Frontend reduce-action type fix lives in the sibling repo.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Why
Trading BTC on every actionable signal leaves alpha on the table.
The same Trump post moves different assets very differently:
• "Strategic Reserve including SOL" → BTC +8%, SOL +33%
• "Tokenize Treasuries on ETH" → ETH +5%, BTC +2%
• "$TRUMP coin is GREATEST" → TRUMP +50%+, BTC ~0%
Picking the wrong asset is silent alpha leak.
What changed
• SYSTEM_PROMPT: new ASSET ROUTING section with 6 named categories
(direct_named / crypto_policy / macro_risk_on / macro_risk_off /
defi_thematic / meme_named) + asset-pick rules per category.
• Few-shot examples now show category + target_asset + expected_move.
• Output JSON adds: category, target_asset, target_chain,
expected_move_pct.
• Python normalization:
- HL_PERPS whitelist (current Hyperliquid perp universe).
- CHAIN_FALLBACK map: meme not on HL → trade chain native
(e.g. $FLOKI on Solana → SOL; ETH-chain meme not on HL → ETH).
- Safe default → BTC if everything else fails.
- expected_move_pct < 0.8 → coerce to hold (not worth fees).
- Legacy `asset` field kept aligned to BTC/ETH for the existing
price_impact tracker; alts leave it null until tracker is upgraded.
Note
Bot routing (bot_engine.py) NOT yet updated — it still trades whatever
`price_impact_asset` is, which is BTC/ETH only. The new fields are
emitted and stored in DB but consumed downstream in a follow-up.
This commit is "AI says the right thing" — making the bot ACT on it
is the next step.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Why
v4 was firing buy/short on 13% of posts, but only 9% of those had a
≥1% move within the hour. Median move on 'actionable' was 0.298% vs
0.258% on 'hold' — a 1.15× signal-to-noise ratio (random would be 1.0).
The model was confabulating transmission chains to please the user
rather than holding when uncertain.
Separately: 'sell' meant 'close longs / de-risk' in the prompt but
was traded as 'open short' by bot_engine.py, producing systematically
negative results on sell signals (27% win rate vs 57% on real shorts).
What changed
• analysis.py rewritten as v5-extreme-alpha:
- Asymmetric error costs framing (false positive = -$30, FN = $0)
- 7-item checklist that MUST all pass before buy/short
- Only 4 named transmission paths (a/b/c/d); anything else = HOLD
- 5 positive + 5 negative few-shot examples
- UTC hour injected with liquidity context (Asia thin → stricter)
- Adversarial steelman self-check before final output
- confidence < 80 + checklist failure both force-collapse to HOLD
in code, regardless of what the model returns (defense-in-depth)
- 'sell' removed from output schema entirely
• bot_engine.py: stop trading 'sell' signals (treat as hold)
• Case-insensitive normalization on checklist values so model
returning 'None'/'True' (capitalized) doesn't slip through
Expected impact (to validate over next 2-3 weeks of new posts)
• actionable rate: 13% → 2-4%
• signal/hold MFE ratio: 1.15× → 3-5×
• ≥1% hit rate among actionable: 9% → 40-60%
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- New migrations for daily_budget, active_window, and bottrade snapshot
- Add trumpstruth scraper and price_impact_monitor service
- Expand bot_engine, hyperliquid, recovery, and tp_sl_monitor logic
- Update API/schemas/models for new features
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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