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  1. Algoverse Platform Demo
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Algoverse Platform Demo

Hardik Prajapati

Feb 208 PM - 9 PM
YouTube Live
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About this Webinar

The markets aren’t just fast anymore, they’re automated. As per the NSE 2025 report, nearly 70% of F&O trades are executed by algorithms.

These systems don’t hesitate. They don’t overthink. They don’t panic. They trade with speed, discipline, and zero emotional bias.

So the question is: can you compete with these algorithms? With the all-new Algoverse by Upstox, you can.

Now you can automate your trades, without writing a single line of code.

To help you shift from manual execution to a rule-based, no-code approach, we’re hosting a detailed walkthrough of Algoverse.

Key Takeaways

1
Detailed walkthrough of Algoverse, including all its tools & features
2
Ready-made option strategies built by experts
3
Building multi-leg F&O strategies using 90+ indicators, smart risk controls, and zero coding
4
Backtest and optimise your strategies with up to 8 years of historical data
5
Automate entries, exits, re-entry, and trailing SL with precision
6
Gain platform expertise to independently build, deploy, and even train others on Algoverse

Sessions

No. of days - 11 Sessions

This webinar is for

1
Beginners looking for a simple yet powerful no-code platform to build, backtest, and deploy algorithmic strategies.
2
Advanced F&O traders looking to avoid emotional errors in multi-leg strategies with built-in risk control.
3
High-frequency traders looking for a no-code platform that can backtest on 8 years of historical data with automatic re-execution.

Meet your Mentor

Hardik Prajapati

Hardik Prajapati

Founder - AI Trade Lab | Algo & Options Trader
10+ years experience
Hardik is an algorithmic trader and educator with 10+ years of experience across engineering, IT, and financial markets. He builds systematic options strategies for Nifty, Bank Nifty, and Sensex with a focus on risk management and automation, has trained 5,000+ traders across India, and works on AI-driven trading tools to make structured trading accessible.

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