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With the waitlist now closed, 3Commas has launched QuantPilot to the public as an end-to-end platform for AI-assisted trading strategy development. The platform gives users one environment for market research, backtesting, strategy optimization, and planned live execution.
QuantPilot is intended to support trading research, strategy testing, and execution workflows, not to guarantee trading outcomes. Any strategy created or reviewed with AI tools may result in losses, and backtested performance should not be treated as an indication of future results.
More than 5,000 users tried QuantPilot before open registration began, testing its research and backtesting functions, sending product feedback, and joining earlyQuantPilot Arena events. Arena is also part of the wider launch. It gives QuantPilot users a public format for strategy testing through competitions and special events. The first event, Backtesting Season 1, is now live and runs through July 15, with rankings based on the backtest performance of strategies created with QuantPilot AI.
At launch, QuantPilot covers several stages of the strategy process:
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market research through connected data and information sources,
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plain-language strategy creation without coding,
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historical backtesting for strategy review,
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cloud-based progress updates through the QuantPilot app and Telegram,
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planned one-click deployment through Hyperliquid.
The product is meant to replace a workflow that usually feels fragmented. A user may start with a trading idea, check market data in one place, look for news or on-chain signals somewhere else, build the logic separately, and then use another system to test it. QuantPilot puts those steps closer together, so the user can move through the process without rebuilding the same idea across several tools.
The platform’s AI agents are designed to take on the more technical parts of that work. Users can ask QuantPilot to check relevant market information, prepare a strategy setup, test it against past data, and compare changes. That gives traders a clearer way to review an idea before deciding whether it belongs in a live trading environment.
QuantPilot’s World Model connects the product to sources such as CoinMarketCap, DefiLlama, CryptoQuant, CryptoNews API, and Tavily. These integrations give the system access to market data, analytics, news, and research inputs that can be used while a strategy is being prepared or reviewed.
Backtesting is one of the first practical checkpoints inside QuantPilot. Users can see how a setup would have behaved under past market conditions, then test adjusted versions of the same strategy. The comparison can show whether performance changes when timing, entries, exits, or other settings are changed.
QuantPilot also continues working after a user leaves the workspace. Research and testing tasks can run in the cloud, with updates sent through the app and Telegram. This gives users a way to follow progress without manually watching each backtest or adjustment.
The next planned step is live execution through Hyperliquid. Once the integration is available, users will be able to move QuantScript-based strategies into live trading directly from QuantPilot. The integration is expected to cover crypto, equities, commodities, and prediction markets from one place.
About 3Commas
Founded in 2017, 3Commas develops crypto trading automation software used by a global community of more than 117,000 active members. Its products support automated trading, portfolio management, analytics, backtesting, and trade execution across major exchanges. The company has built many of its tools around feedback from active traders, with QuantPilot marking its latest move into AI-assisted strategy research, testing, and execution.
Disclaimer: This is a sponsored press release and is for informational purposes only. It does not reflect the views of Crypto Daily, nor is it intended to be used as legal, tax, investment, or financial advice.
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