STRATEGY · CONTROL · EXECUTION
AlphaNet vs 3Commas
Developed model strategies or configurable trading automation?
AlphaNet supplies developed quantitative and deep-learning model strategies. 3Commas gives traders configurable bots, signal automation and AI-assisted tools for building and operating their setups.
Reviewed 21 October 2026 · Published by AlphaNet
The comparison, side by side
Compare the actual strategy and operating workflow. Product availability can vary by venue, account and plan.
| What to compare | AlphaNet | 3Commas |
|---|---|---|
| Core offering | Developed quantitative and deep-learning model strategies. | Configurable DCA, Grid and Signal bots, alongside SmartTrade and AI-assisted setup. |
| Your main decisions | Choose an available strategy, asset and allocation; monitor and adjust or stop it. | Choose bot type, sizing, entry and exit logic, risk settings and any external signal source. |
| Role of AI | Trained models are part of the strategy’s trading decisions. | AI-assisted tools help configure and test bot setups; Signal bots can execute external instructions. |
| Trading venue | AlphaNet on Hyperliquid trades perpetual futures from your own Hyperliquid account. | Supports Hyperliquid wallet connections as well as other exchanges; available bots and markets depend on the product and venue. |
| Permissions and funds | An agent wallet can place trades but cannot withdraw. AlphaNet never receives or holds your funds. | Uses exchange connections with trading permissions. Withdrawal access is not required for bot trading. |
| Platform fees | No AlphaNet fees during the promotional period. Hyperliquid protocol fees still apply. | Subscription plans and product-specific terms apply; exchange trading fees are separate. |
| How to assess results | Review the selected strategy’s research, testing and live periods, drawdown and execution costs. | Review the actual bot settings, signal source, backtest assumptions, execution costs and live results. |
WHERE THE TRADING DECISION COMES FROM
Start with the strategy.
On AlphaNet, you select a strategy whose model and trading process have already been developed. Research spans engineered features, model training, validation and execution. On 3Commas, the bot type, configuration and signal source help determine the trading process. Its AI-assisted tools can reduce setup work, but the chosen configuration still matters.
For an ETH strategy on AlphaNet, you select an available profile and allocation; the deployed strategy determines its trades. A 3Commas DCA setup instead involves selecting the market and defining how entries, additional orders and exits work. A Signal bot can connect a separate decision source. These are different ways to supply the trading logic.
Explore AlphaNet research and documentationWHEN TO EXPLORE ALPHANET
You want developed strategies.
You prefer selecting a researched strategy, profile and allocation over defining each trading rule. Compare Hackworth, Archimedes and Archimedes Pi, subject to current access and availability.
Explore markets and strategy historyWHEN TO EXPLORE 3COMMAS
You prefer this workflow.
You want to define or adapt bot rules, use DCA or grid mechanics, or connect signals you already use.
Questions about AlphaNet vs 3Commas
Is 3Commas only a manual rule builder?
No. It offers bot types, presets and AI-assisted tools, as well as integrations with external signals. The comparison is about the source of the trading logic and the choices the user makes.
Does AlphaNet require users to write a trading strategy?
No. Users choose among available developed strategies and set their capital allocation. They still decide which approach fits their preferences and manage their account.
Is either service the custodian of the trading account?
The account and permission model must be checked for the selected venue. AlphaNet uses a trade-only Hyperliquid agent wallet; 3Commas connects to supported exchange accounts without requiring withdrawal permissions.
CONTINUE YOUR COMPARISON
Choose the approach
that fits your trading.
Explore AlphaNet’s strategies, research and dated market data before choosing an allocation.
Published by AlphaNet using official product descriptions reviewed on 21 October 2026. This comparison describes workflows, not a ranking of returns. Trading involves risk; past performance does not guarantee future results.