EquityEdgemachine intelligence · us stocks

AI that speaks Nasdaq & S&P 500

Deep learning models parsing SEC filings, earnings calls, and alternative data — built for modern US equity investors.

Transformer models

Earnings call NLP

Fine-tuned LLMs detect tone shifts, uncertainty, and forward guidance before the market reacts. Backtested alpha: +4.7% annual.

Reinforcement learning

Optimal execution

RL agents reduce slippage by 23% on Russell 2000 names. Real‑time level‑2 orderbook embeddings.

Graph neural nets

Supply chain contagion

Map supplier/customer links to predict sector spillovers. Identified semiconductor swings 48h early.

Quant Lab: AI Factor library

Alternative data

Satellite imagery, job postings, consumer sentiment — all transformed into investable signals.

Explainable AI for compliance

SEC‑friendly models: every prediction attributed to fundamental factors (value, momentum, volatility). SHAP values integrated into risk reports.

Recent backtest: combined sentiment + RL portfolio outperformed SPY by 9.3% (2023–2024) with lower max drawdown.

Smart Advisor · personalized

Multi‑arm bandit algorithms tailor ETF/stock recommendations to your risk profile. Tax‑loss harvesting via AI.

Demo portfolio

Conservative: 65% BND / 20% VOO / 15% gold miners ETF (AI hedge). Aggressive: 70% QQQ / 20% crypto‑equity basket / 10% AI stock picks.

AI + US equities — deep insight

More than 70% of US equity volume is now algorithmic. Machine learning models are no longer optional: they decode FOMC language, parse 10‑Qs in milliseconds, and detect abnormal options flow. Our research unit focuses on three frontiers:

Generative scenarios: GANs simulate flash crashes to stress test portfolios.
Cross‑asset ML: correlation between treasury yields and tech stocks learned via LSTM with attention.
ESG integrity: computer vision reads corporate sustainability reports to detect greenwashing.

All signals are for educational purposes; always verify with your advisor.