InAI AdvancesbyNikhil Adithyan·6d agoDo Stocks Recover After CEOs Buy the Dip? I Tested It With PythonA Python workflow for combining Form 4 insider transactions, historical prices, drawdowns, and matched control eventsA response icon1A response icon1
InLevel Up CodingbyNikhil Adithyan·Jun 29Real-Time Market Data Fails Quietly. Here’s How to Make It RecoverableA practical guide to stale price detection, REST fallback, and WebSocket recovery for trading applications
InDataDrivenInvestorbyNikhil Adithyan·Jun 23I Subtracted the Market From Every S&P 500 Stock. Here’s What Was LeftA Python scanner that flags beta-adjusted abnormal moves using SPY, volume spikes, and news catalysts
InAI AdvancesbyNikhil Adithyan·Jun 16What Analyst Consensus Really Looks Like Beyond the AverageTwo companies can have the same average estimate but completely different levels of agreement behind itA response icon1A response icon1
InPredictbyNikhil Adithyan·Jun 10Geopolitical Risk Is Not One Thing. I Built a Python Framework to Prove ItWhat Python, options skew, and news sentiment revealed about how markets price fear
InAI AdvancesbyNikhil Adithyan·May 25Beyond NVIDIA: Where the AI Infra Trade Actually Shows UpA Python analysis of the companies turning AI capex into real infrastructureA response icon3A response icon3
InDataDrivenInvestorbyNikhil Adithyan·May 19Best Stock APIs in 2026: A Practical GuideA decision-focused guide for developers, fintech teams, quants, and AI builders evaluating market data APIsA response icon1A response icon1
InAI AdvancesbyNikhil Adithyan·May 15Building A Powerful Earnings Surprise Radar with PythonA step-by-step tutorialA response icon1A response icon1
InAI AdvancesbyNikhil Adithyan·May 5Build a Daily Watchlist Tracker in Minutes Using Claude + MCPTurn a daily watchlist into a prioritized trading briefA response icon1A response icon1
InDataDrivenInvestorbyNikhil Adithyan·May 3The Complete Guide to Building a Live Options Database in PythonBuilding an Options IV and Greeks Database