Use ChatGPT, Claude & screeners to build a smarter, faster research process.

Free and paid — from LLMs for research to Finviz & Danelfin for screening.

The 4-stage workflow that cuts research from 5.7 hours to 45 minutes per name.

Extract risk factors and summarize filings & earnings calls in minutes.

Where each excels, where each fails, and how to combine the two.

Filter by P/E, growth & debt with yfinance and pandas — full code.

Scan the S&P 500 for momentum — no API key needed.

1,000 simulations for VaR, drawdown & realistic worst-case outcomes.

Daily RSI + Bollinger Band oversold/overbought signals.

Accruals & cash-conversion straight from 10-K filings.

Detect expansion vs. late-cycle vs. recession risk for an allocation signal.

~80% of the AI training-chip market via CUDA & Blackwell.

AI-driven ad efficiency & the Llama open-source play at ~25x.

AIP-driven 40%+ US commercial growth — and the valuation risk.

AI chip demand vs. Taiwan geopolitical risk & valuation.

The AI memory supercycle — HBM sold out, P/E ~5.7x.

NAND supercycle and the High Bandwidth Flash AI opportunity.

The EUV monopoly underpinning every advanced AI chip.

One returned 77%, another fell 8% — how to tell them apart.

Small/mid-cap picks-and-shovels across the US, Japan, China & Europe.

GE Vernova, Bloom Energy & the SMR plays behind the buildout.

6 practical hedges mapped to each AI-risk scenario.

A hands-on intro to RL for adaptive portfolio allocation.

What RenTech & Two Sigma do — and what retail can actually apply.

How modern quants deploy deep learning & LLMs for signal generation.

The $7T productivity prize and the multi-year capex cycle behind it.