AI crypto trading platforms automate different decisions. For traders who want to configure bots, the comparison includes 3Commas, Cryptohopper, Bitsgap, and Gainium. Pionex combines bots with an exchange account. Stoic offers managed strategies, AlphaNet offers deep learning futures strategies, and Hummingbot provides software that users operate themselves.
The useful distinction is who determines the trades. An AI assistant may help someone set up a bot; a trained model may score its signals; another service may run a strategy after the user chooses an allocation. Those arrangements require different levels of control and monitoring.
This guide compares eight platforms using their published features, account arrangements and fee models. It does not rank investment returns. The categories overlap, and a product’s inclusion does not mean that every trading mode uses AI.
Eight platforms at a glance
| Platform | Trading workflow | Platform fee model | Main decision for the user |
|---|---|---|---|
| 3Commas | Configured DCA, grid and signal bots | Subscription plans | Choose and monitor the bot settings and supported exchange |
| Cryptohopper | Rules, signals and Algorithm Intelligence | Subscriptions and optional paid products | Select the signal method and a plan that supports it |
| Bitsgap | Configured grid and DCA workflows | Subscription plans | Match the bot type to the venue and market |
| Gainium | Grid, DCA, combo and signal tools | Plans; Hyperliquid also offers a builder-fee mode | Choose the settings and pricing mode for the expected activity |
| Pionex | Bots within an exchange account | Trading fees without a separate bot subscription | Accept exchange custody and configure the selected bot |
| Stoic | Managed strategies on supported venues | Portfolio-size plans and an excess portfolio-value fee | Choose a strategy available for the connected account |
| AlphaNet | Deep learning strategies for perpetual futures | Dynamic trading fees | Choose a strategy and allocation; check its venue and cost basis |
| Hummingbot | Configurable or custom trading software | Free client; implementation and operating costs can apply | Operate the software and maintain its exchange connection |
Platform charges are separate from any applicable venue fees, funding and execution costs. Availability depends on the specific product, account, and market.
Configurable bots and AI features
3Commas combines DCA, grid and signal workflows with an AI assistant for setup and refinement. It suits users who want to build and adjust automation on connected exchanges. The user still needs to choose the trading logic and risk settings; access to an assistant does not establish that a model determines every trade.
Cryptohopper’s Algorithm Intelligence can use trained scores to influence buy and sell signals. That is a different role for AI from helping configure a bot. Readers comparing the two should examine what generates a signal, which settings remain under their control, and whether the required features are included in their plan.
Bitsgap offers hosted grid and DCA workflows, including a documented Hyperliquid DCA Futures setup. Gainium combines configurable automation with backtesting and paper trading. These tools let users evaluate settings before using real funds, although simulated fills and costs may differ from live execution. Neither service removes the need to define and monitor a trading approach.
Pionex combines bots and an exchange account
Pionex provides configurable spot and futures bots inside its exchange. There is no separate bot subscription or activation charge, but trades still incur fees. An integrated setup reduces the need to connect an external bot provider. Funds remain subject to the exchange’s custody arrangements, and the user selects the bot’s market and trading parameters.
Managed and model-driven strategies
Stoic runs managed strategies on supported centralised exchanges and Hyperliquid. Its available strategies and markets vary by venue. Stoic’s pricing is based on the connected portfolio’s size, with an additional fee on portfolio value above the stated plan threshold and no performance fee. A reader comparing managed services should check both the strategy offered on the chosen exchange and the balance that the service will manage.
AlphaNet offers deep learning strategies for crypto perpetual futures. Users choose a strategy and allocation; the strategy determines individual trading decisions. AlphaNet charges dynamic trading fees and publishes strategy performance on its website in real time. This makes it relevant to readers comparing model-driven futures strategies. The comparison should use the selected strategy’s venue, measurement period, and applicable charges.
AlphaNet’s company history dates its first live strategies on Orderly to January 2026 and its Hyperliquid rollout to September 2026. Readers seeking Hyperliquid access should confirm current availability: its public homepage still presents that rollout with a waitlist. The Orderly start date does not establish a Hyperliquid trading record of the same length.
Hummingbot gives users control over the software
Hummingbot is an open-source framework for configurable and custom strategies. Users can start with prebuilt strategies and guided tools; custom development may require coding. Someone must also run and monitor the software. Its Hyperliquid documentation distinguishes the free client’s builder-fee treatment from Condor’s. Hosting, maintenance, and venue costs also belong in the comparison.
Compare the account as well as the bot
With a connected centralised exchange, the exchange holds the funds even if the bot’s API key cannot withdraw them. On Hyperliquid, integrations can use delegated trading permissions. The venue holding the assets, the application placing orders, and the key authorising those orders are separate parts of the setup.
A practical shortlist starts with the account and workflow a trader wants to use. Configurable tools require a defined trading approach. Managed and model-driven services require a choice of strategy and allocation. Software frameworks require ongoing operation. For each candidate, compare the exact strategy, account permissions, and total cost, then examine results covering the same period. An attractive example return says little about a different configuration or entry date.
Disclaimer: This is a paid post and should not be treated as news/advice.
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