Solutions to Daily Coding Problem questions

A gamified learning platform to help BSc Math students become top 1% Quant Researchers with Ben 10 theme

MLP approach to predict real-time financial market data and select the right trades to execute.

Algorithmic trading client and strategies for a Jane Street–style electronic exchange: pennying market-making, micro-MACD, bond maker, ETF/ADR arbitrage.

An example of web application written in OCAML

Jane Street Real-Time Market Data Forecasting 2025: https://www.kaggle.com/competitions/jane-street-real-time-market-data-forecasting

My answers to problem sets for Aizu, AdventofCode, Janestreet Puzzles, CodeChef, Codeforces, CSES, Deep-ML, DMOJ, EOlymp, HackerRank, Kattis, KiloNova, Leetcode, LibreOJ, Perl Weekly Review, Project Euler, SPOJ and Timus judges.

📉Market Forecasting 🧠ML for Trading 📊Time Series 🧮Ensemble Learning

A hardware-first exploration of Advent of Code 2025, implementing each puzzle as a cycle-accurate FPGA design in Hardcaml, using streaming UART I/O, explicit memory pipelines, and finite-state schedulers instead of software control flow.

Solutions to Jane Street Monthly Puzzles

My attempt at Jane Street's puzzles

This project implements three Advent of Code 2025 puzzles in a single FPGA design, written in Verilog.

🚀 Implement algorithmic trading strategies for a Jane Street-style exchange, featuring market-making, arbitrage, and momentum signals.

Some things may be broken, work has stalled, you know what this is though :)

A statistics display for the Jane Street trading game, Figgie.

Distributed, type-safe, incremental stream processing framework in OCaml. 250ns stabilization, 2M+ events/sec, heap-based dirty propagation, idempotent delta algebra.

jane street's "dropped a neural net" puzzle

Solves a machine learning problem using three different models (XGBoost, Neural Network, Logistic Regression)

Reverse-engineering hidden backdoor triggers in three 671B DeepSeek-V3 language models. Activation-space probing, SVD weight analysis, and absorbed MLA SVD for the Jane Street Dormant LLM Puzzle.

Spring Insight participant Jane Street. Software Engineering Department. Ocaml workshop