CFA L1 Graduate · Quantamental Research
Finance, Strategy & Markets
Partner at Magnetars Wealth. I engineer systematic alpha — where rigorous quantitative research meets fundamental conviction.
I'm Keyur Lalwala, Partner at Magnetars Wealth and a CFA Level I graduate with 2+ years of active market experience. My work lives at the intersection of systematic research and fundamental judgement — what practitioners call quantamental.
I don't just study markets. I build systems that trade them — backtested engines, live strategy deployments, regime classifiers, and client advisory frameworks that run with institutional precision.
Fusing quantitative signals with fundamental conviction. I screen markets through a proprietary multi-factor framework — isolating setups where price behaviour, breadth momentum, and thesis alignment converge into high-conviction trades. Not noise. Signal.
Full pipeline — idea to execution. Python-powered backtesting engines, TradingView Pine scripts with dynamic TP/SL logic, and live position trackers monitoring entry price, current P&L, and holding duration. Every edge is validated before a single rupee of real capital is committed.
Strategies leave the lab and enter the market. Intraday focus on the first 30-minute volatility window in Nifty & Bank Nifty — exploiting premium spikes and order-flow imbalances before time decay sets in. Research meets real capital, every session.
Risk is engineered, not managed reactively. Volatility-adjusted position sizing, regime-aware capital allocation, and drawdown guardrails are built into every system from day one. Capital preservation is what enables long-term compounding.
Context determines the playbook. I analyse RBI monetary policy, FII/DII flow dynamics, global liquidity cycles, and cross-asset risk appetite to classify the macro regime before any strategy deploys. Trade with the wind, never against it.
As Partner at Magnetars Wealth, I guide clients through a precision 6-step framework: Data Gathering → Objective Setting → Deep Analysis → Total Plan → Implementation → Monitoring. Every recommendation is deliberate. Every relationship is built on transparency and results.
A proprietary swing strategy that systematically identifies stocks where institutional accumulation is occurring beneath the surface — and enters before the breakout becomes obvious. R² Alpha uses a multi-factor signal engine to filter only the highest-conviction setups. Deployed in Python with full TP/SL logic, live P&L tracking, and entry-date logging. Not a screener. A conviction engine with memory.
Real-time classification of the market into three regimes: Trending Bullish, Trending Bearish, or Sideways Accumulation. Reads structural price behaviour, volume breadth, and momentum context. Answers the one question most traders ignore — what is the market actually trying to do? — and ensures every strategy runs only in the right environment.
As Partner, I co-architected the operational framework behind Magnetars Wealth. A structured 6-step client journey: Data Gathering → Objective Setting → Deep Analysis → Total Plan Recommendation → Implementation → Continuous Monitoring. Built for precision, transparency, and scale — without sacrificing the quality of individual advice.
A Python script converting TradingView strategy signals into a live dashboard — tracking every open position with entry date, buy price, current market price, unrealised P&L, and holding duration. Built to eliminate manual tracking and maintain clean, real-time visibility on what's working and what isn't.
Let's Work Together
Whether you're a prospective client, a collaborator, or just curious about quantamental research — I'm always open to the right conversations.