Short research loops
Move from market observation to hypothesis, backtest and live evidence. See how models behave after costs, latency and changing regimes enter the picture.

Why Dolat
Dolat brings algorithmic trading research, machine learning, high-performance software and market execution into one tight feedback loop.
The Dolat difference
More than seven decades in Indian markets give us context. Our quantitative teams add a modern research discipline: clean data, explicit hypotheses, reproducible experiments and systems engineered for live conditions.
Move from market observation to hypothesis, backtest and live evidence. See how models behave after costs, latency and changing regimes enter the picture.
Probability, statistics and machine learning work alongside C++, Python and market microstructure.
Follow ideas from data quality and experimental design through production code, risk controls and post-trade analysis.
What we value
A useful model is statistically honest, technically reproducible and resilient enough to meet the market.
Your next move