Trade Smarter.
Systematically.
Quant Market Lab focuses on educational trading content, quantitative analysis, and algorithmic trading systems. Build robust trading structure with disciplined risk management.
Markets Covered
- 🇮🇳 Indian Markets — NSE / Bank Nifty / India VIX
- 🇺🇸 US Markets — SPY / QQQ / VIX
- 🇦🇺 Australian Markets — ASX / A-VIX
- 📊 Options Strategies
- 🤖 Algorithmic Trading
- 📐 Quantitative Analysis
What You'll Learn
Six pillars covering everything from reading company financials to deploying systematic algos in production.
Fundamental Analysis
Financials, valuation, sector context, earnings setup.
Stock Analysis
Finding quality names worth trading, peer comps, screeners.
Technical Analysis
RSI, MACD, Stochastic, divergence, candlestick patterns.
Options Strategies
Bear Call, Bull Put, Iron Condor, Calendar — defined risk.
Algo Trading
Python automation, backtesting, IBKR paper-to-live workflows.
Quantitative Analysis
IV filters, statistical edge, position sizing, risk caps.
Latest Research
Backtests and write-ups with the assumptions stated — including the results that got weaker on a bigger sample.
15-Minute Divergence — The 1-Year Refresh on 5,073 Trades
Two months after the first intraday backtest, the same strategy re-run on a 4.5× larger sample: 5,073 trades across 144 symbols. The noise-stop fix worked, the profit factor held at 1.50× — and the data says this is not a day-trading strategy at all.
Read Post →15-Minute Divergence on NASDAQ 100 — What a Full Year of Intraday Data Shows
A 1-year backtest of a multi-indicator divergence strategy on 15-minute IBKR bars across NASDAQ 100 stocks — 1,116 trades, a Sharpe of 2.99, and the one mechanical flaw that nearly buried the edge.
Read Post →Backtesting Divergence on NASDAQ 100 — What 5 Years of Data Shows
A systematic backtest of a multi-indicator divergence strategy across NASDAQ 100 stocks over five years — win rates, profit factors, drawdown, and the structural lessons that change how you think about divergence trading.
Read Post →Join The Community
Follow market analysis, educational content, algo trading research, and options strategies.