Three plumbing fixes + one ops doc that close the gaps from the audit.
scripts/rescore_v5.py
Was overwriting only signal/conf/reasoning/sentiment/relevant/
prefilter_reason/analysis_version. Now also persists target_asset,
category, expected_move_pct — without these the bot can't route
rescored posts correctly (would silently fall back to BTC).
app/schemas.py + app/api/posts.py
TrumpPost response model didn't expose target_asset/category/
expected_move_pct, so the frontend had no way to display "this
signal will trade SOL". Added the three fields + mapping in
_post_to_schema(). Pre-v5 posts return null. No frontend changes
yet — display work is a follow-up.
app/services/hyperliquid.py
HL caps max leverage per asset (BTC/ETH 50×, SOL 20×, memes 3-5×).
set_leverage() always tried to push self._leverage — if user set
30× and bot routed to TRUMP, HL rejected the order and the trade
silently dropped. Added _get_max_leverage() (queries meta()'s
maxLeverage field) and _clip_leverage() that caps to HL's max.
set_leverage now returns the effective leverage so callers can
use it for notional sizing if needed.
deploy/ENCRYPTION_KEY_BACKUP.md
Documented mandatory backup procedure for the symmetric key that
encrypts every user's HL API key. Lost key = all users' bots dead
with no recovery. Includes rotation procedure + quarterly test
step + things-not-to-do list.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
scripts/sweep_500.py:
Parameter grid for capital-preservation oriented configs.
Risk filters: max DD <= 30%, max single loss <= 16% of capital.
scripts/sweep_moonshot.py:
Aggressive grid for one-trade-hits-big strategy.
Looser DD ceiling (50%), prioritizes biggest single-trade upside.
Both run on the local v4 dataset to inform initial subscription
parameter choices for live trading. Re-run after v5 accumulates
enough signals (~6 weeks) to recalibrate.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
After deploying v5 analysis.py, run this once to overwrite v4 scores in
the DB with v5's interpretation. Idempotent — skips rows already at v5.
Has --dry-run mode to preview the change without AI calls or DB writes.
Live mode prompts for confirmation (skipped if stdin is non-tty so it
also works under `docker exec`).
Touches only AI-derived columns (signal, ai_confidence, ai_reasoning,
sentiment, relevant, prefilter_reason, analysis_version). Leaves all
market-derived columns intact (price_at_post, price_impact_*) — those
stay accurate regardless of which prompt version interpreted the post.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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