No-code backtesting
Backtest a trading strategy without writing code
Backtesting used to mean Python, pandas, and a long argument with your own data-cleaning bugs. It doesn’t have to. Thuztra lets you build a rule-based Nifty 50 strategy in a visual editor and backtest it on real NSE data — no programming, and no flattering numbers either.
Who it’s for
For the investor who has a clear idea — “hold the top three Nifty momentum names, rebalance monthly” — but no desire to learn a programming language to test it. You bring the rules; Thuztra handles the simulation, the costs, the tax, and the statistics. You stay in control of every rule and can see exactly what each one does.
How it works
Build
Compose a strategy as a visual rule tree — allocators decide weights, filters narrow the universe, conditions branch on signals. Read the whole thing back in plain English. No formulas to memorise, no syntax errors.
Backtest
Run it on real NSE daily data over the window you choose. The same engine applies transaction costs, estimates capital-gains tax, checks for survivorship bias, and runs a Monte Carlo luck test — automatically.
Read the results
See pre- and after-tax equity, drawdown, alpha versus the Nifty and a plain 7% fixed deposit, and a p-value telling you whether the edge is real or a lucky window. Tune a rule and run it again.
No-code doesn’t mean low-rigour
The easy thing for a no-code tool to do is make backtesting feel effortless by hiding the hard parts — costs, taxes, survivorship, luck. Thuztra does the opposite. A visual strategy runs through the very same engine, and reports the same four confessions, as everything else on the site. See the methodology for exactly what the engine does, or compare Thuztra with other Indian backtesting tools.
Build your first strategy — no code, free during beta.
Join the waitlist and backtest a Nifty strategy on real NSE data, with the numbers most platforms hide.
Join the waitlistFrequently asked questions
Can I backtest a trading strategy without coding?
Yes. With Thuztra you compose a strategy as a visual rule tree — allocators, filters and conditions — and backtest it on real NSE daily data without writing any Python or scripts. The strategy reads back in plain English so you always know exactly what it does.
What is no-code backtesting?
No-code backtesting is testing a trading strategy against historical data using a visual builder instead of a programming language. You assemble the strategy's rules through a point-and-click interface, and the platform handles the simulation — letting non-programmers run rigorous backtests.
Do I need to know Python to use Thuztra?
No. Thuztra is fully no-code — there is no Python, no scripting, and no formula language to learn. Everything is built by combining visual blocks into a strategy tree.
Is no-code backtesting accurate?
It is exactly as accurate as the engine behind it. Thuztra runs every no-code strategy through the same backtest engine — real NSE data, transaction costs, estimated FIFO capital-gains tax, a survivorship-bias diagnostic, and a luck test. No-code changes how you build the strategy, not how honestly it is measured.
What strategies can I build without code?
Rule-based equity strategies on the Nifty universe — momentum and factor rankings, moving-average and threshold conditions, multi-asset weight allocations, and scheduled rebalancing. If you can describe the rules, you can build and backtest them.
Thuztra is an educational backtesting and research tool — not investment advice. Backtests are simulations; past performance does not predict future results, and investments in securities are subject to market risk.