trumpsignal-backend

T

k 8fd9da3c8d feat(ai): asset routing — categorize post → trade the right perp

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>

2026-05-08 15:25:27 +08:00