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ArthaQuant
Backtest labSimulated market · 5 years · daily
200
BacktestUnseen data
Best backtest Sharpe
1.95
Luck alone gives
1.48
Same rule, unseen
−1.75

None of these rules has an edge. Test enough of them and the best backtest looks brilliant, then fails on data it never saw.

Trading systems,tested honestly

We design, backtest and deploy custom trading algorithms for stocks, futures, crypto and prediction markets, and hand you the full source code.

About the work

Markets reward nerve and punish hope. We build systems that survive unseen data and real costs.

How we work

The New York Stock Exchange trading floor seen from above, crowded with booths, screens and cables
The New York Stock Exchange floor, before the machines took over
The curved tower of the Bombay Stock Exchange in Mumbai with its red LED ticker sign
The Bombay Stock Exchange, Mumbai

Runs where you trade

Systems connect to your own broker or exchange account. Pick one to see how.

  • NSE and BSE stocks, F&O · India

    Kite Connect for orders and live ticks over WebSocket. With no paper endpoint, paper trading runs on a simulated book fed by live quotes.

How a build works

Strategy spec · Breakout v1Draft 3
Universe
NIFTY 50 stocks, daily bars
Entry
Close above its 50-day high
Exit
Trailing stop at 2 × ATR(14)
Size
1% of equity at risk per trade
Limits
Max 6 positions, 2% daily loss
Costs
0.05% per side + 2 bps slippage
No step left to judgement

First, pin
the rules down

An idea becomes rules precise enough to code. If a step needs judgement, it is not finished.

Fees

$1,200from, fixed fee

A complete system built from your idea: data, signals, position sizing, risk limits and order execution, tested out of sample, paper traded, then deployed on your server and broker. Full source code and 30 days of support after go-live.

  • Full source code, yours to keep
  • Backtest and paper-trading reports
  • Risk limits and a runbook
  • 30 days of support after launch
Book a call: trading algorithm

Straight answers

Can you guarantee my strategy will make money?

No, and be careful of anyone who does. We can tell you how likely it is that a backtest result is luck, build the system properly and test it on data it never saw. Markets decide the rest.

Who owns the code?

You do. Every engagement ends with the full source code, the tests and the documentation in your repository. There is no licence fee and nothing phones home.

Will you keep my strategy confidential?

Yes. We sign an NDA before you share any rules, and we never reuse a client’s strategy logic in other work.

Which brokers and exchanges do you work with?

Anything with a documented API. Typical ones are Interactive Brokers, Alpaca, Zerodha Kite, Binance, Bybit, Polymarket and Kalshi. If yours has an API, it can be connected.

I only have an idea, not exact rules. Is that enough?

Yes. The first step of every build is turning an idea into rules precise enough to code. Often that step alone shows whether the idea is worth testing.

Do you manage money or run the system for me?

No. We build, test and hand over. The system runs on your account and your server, under your control.

Can you fix or review a bot I already have?

Yes. A backtest audit or a few consulting hours is usually the right start: we read the code, rerun the tests and tell you what we find.

How do payments work?

Fixed-fee work is split in two: half when the specification is agreed, half at handover. Consulting is billed monthly by the hour.

Start with
the rules

Send the idea as it is. We reply within 24 hours with questions and a fixed quote, and nothing is shared without an NDA.

New strategy brief

How far along is it?