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Kalash-Somnathe/README.md

Kalash Somnathe

Quantitative research on energy futures — mostly the WTI crude curve: calendar spreads, butterflies, relative value, and the market microstructure underneath them.

Six months on a systematic energy futures desk. Currently reading for two degrees: B.E. in AI & Data Science at RTMNU and a B.Sc. in Data Science at IIT Madras.

kalash-somnathe.netlify.app


Selected work

spreads-lab · live ↗ Built to teach myself how the WTI forward curve behaves. 421 exchange-quoted calendar spreads over 8 years of 1-minute data: a time-slider through the curve including the April-2020 super-contango, term-structure PCA into level, slope and curvature, a box/butterfly/cash-and-carry playbook, and a playable market-making game with Glosten–Milgrom adverse selection. A study, not a strategy.

mm-lab Market-making simulator. Quote around a jump-diffusion fair value; uninformed flow pays you the half-spread, informed flow arrives ahead of the jumps. P&L decomposes into spread capture, inventory risk, adverse selection and liquidation — an identity asserted to 1e-6 across 34 tests. The finding worth the build: the naive quoter captures more gross spread than Avellaneda–Stoikov and keeps none of it.

crude-butterfly-spreads Streamlit backtester trading six butterflies simultaneously along the curve, with thresholds adjustable live so the sensitivity is visible instead of hidden.

pca-statistical-arbitrage Rolling PCA strips the common factor from crude spreads; the residual trades on multi-horizon z-scores, with an Ornstein–Uhlenbeck half-life turning the signal into a holding period.

market-regime-detection Shannon and Rényi entropy, Lyapunov exponents, correlation dimension and Markov transitions — used to size and gate other strategies rather than to trade on their own.

wti-opening-range-breakout Session-aware ORB with VWAP-relative bias classification and MFE/MAE trade-path analysis. Results are withheld pending a fill-logic fix — the README says exactly why.


Working on

Python, C#/.NET, SQL. Market-data pipelines, backtesting engines that don't lie to you, and execution and pre-trade risk plumbing.

LinkedIn · somnathekalash@gmail.com

Pinned Loading

  1. crude-butterfly-spreads crude-butterfly-spreads Public

    Interactive Streamlit backtester for butterfly spreads on WTI crude futures: six simultaneous flies along the curve, threshold-based entries, and a full risk panel (Sharpe, Sortino, Calmar, VaR, CV…

    HTML

  2. market-regime-detection market-regime-detection Public

    Market state classification from information theory and nonlinear dynamics: Shannon and Renyi entropy, Lyapunov exponents, correlation dimension, and a Markov regime-transition model.

    HTML

  3. mm-lab mm-lab Public

    Market-making simulator: quote against informed and uninformed flow, with P&L decomposed into spread capture, inventory risk and adverse selection. Avellaneda-Stoikov vs naive quoting.

    Python

  4. pca-statistical-arbitrage pca-statistical-arbitrage Public

    Cross-sectional mean reversion on crude spreads: rolling PCA to remove the common factor, multi-horizon z-scores, Ornstein-Uhlenbeck half-life estimation, and volatility-regime-scaled thresholds.

    HTML

  5. spreads-lab spreads-lab Public

    Interactive study of the WTI crude forward curve: 421 exchange-quoted calendar spreads, term-structure PCA (level/slope/curvature), box and butterfly arbitrage, and a playable Glosten-Milgrom marke…

    HTML

  6. wti-opening-range-breakout wti-opening-range-breakout Public

    Session-aware opening-range breakout study on WTI crude futures: VWAP-relative bias classification across four trading sessions, with MFE/MAE trade-path analysis for exit calibration.

    Jupyter Notebook