No-code builder
Assemble preset rules.
Backtesting Enginefor Claude & ChatGPT
Use your AI Agent to research and backtest trading ideas
Get Started for Free
No credit card required
Set up Volrix with your agent.
Give your agent the setup skill to connect to the Volrix backtesting engine. It can help configure MCP and verify access after you sign in.
Paste this link into your agent and ask it to set up Volrix. In a hosted chat app, add Volrix through its connector settings.
Why Volrix?
Research & Backtest with confidence.
Low-code builder
Write and maintain strategy code.
Volrix AI
Your agent. Our backtesting engine.
Describe your strategy
Volrix runs the backtest
Methodology
Describe your idea.
Tell ChatGPT or Claude the strategy you want to test, including your entry and exit rules.
Run the backtest.
Your AI agent turns those rules into code and runs it on historical data through Volrix.
Inspect the results.
Explore trade logs, returns, drawdowns, and transaction costs. Ask questions about any run.
Refine and compare.
Adjust your rules, test another version, and compare the results before choosing what to explore next.
What can you do with Volrix?
Ask ChatGPT or Claude to research, backtest, and analyze strategies through Volrix MCP.
Backtest an opening-range breakout. Enter when price breaks the first 15-minute range and close all trades before the session ends.
Test a Supertrend strategy that enters on a bullish crossover and exits when the trend reverses.
Compare a short strangle with a short straddle using the same entry time, stop-loss rules, and test period.
Works with your favorite AI harness
Connect Volrix to the AI tools you already use for research, prompts, and strategy iteration.
Community
Traders are already researching with Volrix.
It is incredible and so useful. I can talk to market history data and get answers. Thank you so much Volrix team for putting so much power in our hands. Truely amazes with this. Will use it for long time
Tried it out Niraj and I must say, it is impressive. Just started with backtesting a couple of strategies and hopefully it impresses me enough to buy your subscription. Great job!
Gratitude. This too is brilliant - exactly what traders like me needed. Thank you! Started exploring.
Awesome concept.
Congratulations. Going to try it now
This is really amazing product, any strategy can be tested. I rely on rotations and it backtested those trades as well! Impressive, will recommend this to my trader friends. Do add stocks data it would be really helpful
Super. Will be the first customer
Super
I had used this Volrix MCP server along with Claude. I could be able to backtest some of positional ideas clearly. All price action and TBS you can backtest just by prompting your ideas.
Volrix is a good signal for finance agents: chat-native backtesting for real derivatives strategies. The hard layer is the decision record around each run: regime, assumptions, exposure, thesis, and failure conditions before execution.
As a option trader, i was always dependent on backtesting platform's rules and entry exit conditions for building strategies and backtesting. But this can be a game changer. You have an idea with whatever rules, you can backtest it for years of data with just a prompt.
Been using this for a week now, and I gotta say, it's a real banger!
Excellent, backtesting has entered in new era.
Very useful for backtesting indicator based strategy on Index options.
This is real use of AI in Trading. Everyone should try
He has pretty much simplified the entire backtesting process. Just add the connector to Claude Code and ask it to backtest almost anything you can think of. No need to download data, manage datasets, or run code separately. Everything happens in one place.
Niraj is the one who helped us initially to look into the ZMQ based architecture for common websockets. Else openalgo will not be possibly streaming right now or we might be using a completely different architecture right now.
Very Good work bro.
Been using Volrix AI's MCP heavily over the last few weeks. One thing I didn't expect was how much it would speed up strategy research. Instead of spending time pulling data and running repetitive tests, I could focus on evaluating ideas and refining systems. Great product.
Simple, transparent pricing
Start free and scale as your research needs grow. No hidden fees.
Free
₹0/month
- 500 tool calls
- 2 parallel backtests
- Last 6 months only
- Index derivatives + MCX commodities
Most Popular
Max
₹1,999/month
- Unlimited tool callsdaily and minute rate-limits apply
- 8 parallel backtests
- All available data
- Index derivatives + MCX commodities
Pro
₹999/month
- 10,000 tool callsdaily and minute rate-limits apply
- 4 parallel backtests
- Complete index-derivatives data
- Index derivatives
Enterprise
For Teams, Trading Desks & BrokersNeed higher rate limits and more concurrent backtests? Let's tailor a plan to your team's needs.
All plans include access to 22 specialized tools and comprehensive documentation
Public strategy research
Check the strategy openly. Then make it better.
Browse public strategies, compare their results, and open the full report behind each ranking. When you find one worth testing, use it with your AI agent to adjust the strategy and optimize the result.
Explore Strategy Library
Historical backtests do not guarantee future returns.
Before your first backtest.
Read the setup guideCan my agent connect just by reading the skill?
The skill explains setup. An agent with access to its client's MCP configuration can help add Volrix. In hosted chat apps, you may need to add the connector yourself. You always complete account sign-in and approval.
Do I need to write code?
You can describe a strategy in plain language. Your agent can write and validate the strategy code, then use Volrix to run it. Review the entry, exit, sizing, and execution assumptions before testing.
Which agents can use Volrix?
Volrix uses remote MCP over Streamable HTTP with OAuth. Codex, Claude Code, and clients with compatible remote connector support can connect. Hosted-app availability depends on your plan and workspace policy; your AI client may require its own subscription.
What markets and historical data can I test?
Volrix has tools for Indian index derivatives, MCX commodities, and supported crypto perpetuals. Coverage varies by market, engine, and plan. Ask your connected agent to check available_duration for your market before choosing a test period.
How should I interpret costs and results?
Review each report's test period, capital, brokerage, transaction charges, and slippage settings. Public equity strategy rankings include government transaction costs and exclude brokerage by default. Historical results are simulations and do not guarantee future performance.
How do I check my access and limits?
After connecting, ask your agent to call user_plan_info. It returns your current quota period, rate limits, and parallel backtest capacity. The connection check does not run a strategy.
Latest from our Blog
Insights on trading strategies, backtesting, and more.
general
Beginner's guide to Volrix
New to Volrix? This guide walks you through the basics of using Volrix MCP, connecting it with your AI agent, running your first backtest, and understanding the results.
Volrix Team18 Jun 2026
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How the Volrix Backtesting Engine Works
Sharing some key concepts and methodologies we've used with the backtesting engine of Volrix. This would help you to understand the concepts in a better way.
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Why I Stopped Building a Web App and Turned the Product Into an MCP Server?
How a trading product went from dashboards and no-code builders to an MCP server built for AI-native research workflows.
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