The problem
Most retail traders in India trade on tips, headlines and gut feel, because actually testing an idea is hard. Doing it properly needs three things almost nobody has together: clean historical market data, the programming skill to simulate trades against it, and the statistics to judge the result honestly. So ideas go untested, and money gets risked on hope.
What EdgeTest does
EdgeTest removes all three barriers. Describe a strategy in plain English, like "buy when RSI drops below 30 and sell at a 10 percent target", and the AI builds it and backtests it across more than a decade of end-of-day market data in seconds. You get a professional report: CAGR, drawdown, win rate, profit factor, a full trade log, and every rupee of brokerage, taxes and slippage already deducted. No code, no spreadsheets, no fantasy numbers.
Around the backtester we publish free market pages - Market Today, Options Today, per-stock deep dives, a plain-English screener - because we think market data should be readable by humans.
What EdgeTest is not
EdgeTest does not execute trades, does not connect to your broker, does not manage money, and does not give investment advice or recommendations. It is not registered with SEBI as an investment adviser or research analyst - it is a research tool that tests YOUR ideas. Every result is a historical simulation, not a promise. Read the full Risk Disclosure.
The team
Three founders, one obsession.
Yash Arya
FounderYash is an active trader and engineer. Before EdgeTest, he built a private algorithmic trading system for his own trading - the data pipelines, backtesting engine and cost models that power EdgeTest grew out of that system. EdgeTest is that same engineering, rebuilt so any trader can use it in plain English.
Jainam Shah
FounderJainam is a founder of EdgeTest and works across the product. A fuller introduction is coming soon.
Kalp Patel
FounderKalp Patel is the founder of Imperial Quant and one of the driving forces behind this backtesting platform. With a strong interest in systematic trading and quantitative research, he has spent considerable time exploring how trading ideas can be tested more objectively.
The platform was created with a simple goal: to make strategy testing accessible to anyone, without requiring advanced programming knowledge. Kalp believes that traders should be able to evaluate their ideas using data, understand the risks involved, and make more informed decisions before deploying real capital.
Get in touch
We answer everything ourselves - no outsourced support, no ticket mazes.