META
Meta Platforms · us_equity · Technology
What the AI does on every META request
- Fundamentals analyst reads SEC EDGAR XBRL (US) or akshare (A-share) for point-in-time financials — no current-snapshot lookahead.
- Sentiment analyst mines Reddit (r/wallstreetbets / r/CryptoCurrency) and 东方财富股吧 for retail attention and bull/bear keyword skew.
- News analyst pulls real timestamped headlines (Reddit / yfinance / akshare).
- Technical analyst computes SMA 20/50/200, RSI 14, MACD, plus 10 Alpha158-inspired quant factors (ROC, STD, BIAS, RSV, MA_DIFF, KMID).
- Macro analyst reads FRED via OpenBB (CPI, Fed funds, yield curve, M2) — top-down context.
- Bull vs Bear debate across multiple rounds, then 3-way risk committee (Aggressive / Neutral / Conservative), then Fund Manager final call.
Why this is more useful than vanilla ChatGPT
- ✅ Real cited data — every claim ties back to a public source.
- ✅ Lookahead-free for backtests (zero leakage from current data).
- ✅ Cross-validated with Backtrader (14k★) so engine bugs surface fast.
- ✅ 5 analysts, structured debate, 3-way risk committee — not a single prompt.
- ✅ Decision history that learns from your past calls (reflection memory).
Run a META decision now
2 free decisions/day on mock LLM, no signup. Real LLM via Pro ($29/mo).