TARK by 5paisaFrom Idea to Algo!

TARK is an algorithmic trading platform by 5paisa designed for both beginners and advanced traders. It allows users to research, build, test, and automate trading strategies — with or without coding knowledge.

No. TARK offers no-code tools like Ready-to-use Strategies and drag-and-drop templates for non-coders.

These are ready-made, expert-built strategies that can be launched instantly — no customization or coding needed.

Just browse the list, pick a strategy that suits your style, and deploy it in a few clicks.

They are flexible, no-code frameworks where you build your own strategies by selecting indicators or setting other parameters.

Choose a template, set your parameters using the Option Wizard, preview the logic, and launch — all without writing code.

Yes. TARK offers an in-browser coding environment where you can write, test, and deploy fully custom strategies using Python.

Explore the Strategy Lab inside TARK — it includes documentation, code snippets, and sample notebooks to help you build and learn.

Yes. You’ll find tutorials, editable strategy templates, and guided walkthroughs built into the platform.

Backtesting lets you test your trading strategy on past market data to see how it would have performed historically.

It helps validate your logic, optimize parameters, and reduce risk before going live.

TARK provides Quick Backtest (for rapid testing) and Full Backtest (for deep simulations) for both no-code and code-based strategies.

TARK has 10+ years of historical data, including expired Futures & Options contracts, giving you a highly realistic testing environment.

The Strategy Lab is TARK’s advanced research workspace — where traders can write Python code, analyse data, and develop complex strategies.

It’s a sandbox environment where you can explore market data, test hypotheses, and simulate ideas before deploying them live.

No. Everything runs in the cloud — directly from your browser.

Yes. TARK is India’s only algorithmic trading platform with built-in fundamental data like P/E ratios, earnings, and balance sheets.

You can apply filters in the no-code tools or integrate fundamentals directly in your Python strategy within the Strategy Lab.

It allows you to build smarter, long-term equity strategies based on real business performance — not just technical indicators.

Yes. TARK supports hybrid strategies that blend market signals with financial metrics.