Teesta is an Indian algorithmic trading firm founded in 2021, operating a tech stack heavily weighted toward systems programming (C++, Rust, Go) and quantitative analysis (Python, NumPy, SciPy, MATLAB). The project list—prediction markets, backtesting frameworks accounting for fees and latency, probabilistic pricing models—reveals a research-intensive operation focused on market microstructure. Pain points cluster around operational friction (trade reconciliation, monitoring uptime, execution latency) rather than core modeling, suggesting the firm has solved the algorithmic problem and is scaling execution infrastructure.
Teesta operates an algorithmic trading platform focused on digital assets markets in India. The firm builds and deploys automated trading systems using high-frequency strategies, probability-driven pricing, and systematic research infrastructure. The team spans engineering (systems and quantitative development), operations (trade workflows and reconciliation), and research, concentrated in Kolkata. Active hiring across engineering and ops roles reflects expansion in infrastructure and operational automation.
C++, Python, Rust, Go, SQL, NumPy, Pandas, SciPy, MATLAB, R, Linux, TCP/IP. Primary languages are C++ for performance-critical trading logic and Python for research and prototyping.
Prediction markets trading stack, backtesting and research tooling (accounting for fees, slippage, latency), probabilistic pricing models, systematic trading strategies, and trade operations automation infrastructure.
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