ChadFi Launches AI Terminal: Analysis and Trading in One

We had just discussed new crypto projects with AI integrations, and now ChadFi launches an AI terminal: analysis and trading in one. It is worth noting that the platform is at an early stage of development, but states that its AI-powered platform’s beta version already implements research, analysis, and execution in a single cycle.

They present the operational sequence as Data Collection – AI Analysis – Insights Generation – Trade Execution – Feedback Loop, that is, the analytical pipeline and the execution loop are closed within a single interface.

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What Is the Actual Working Stage of the Platform?

At the moment, they state three core components: Deep Analysis engine, SpoonFed Setups, and All-in-One Execution. Thus, some functions are already available in the terminal, with the expansion of integrations with centralized venues planned for the next release.

Deep Analysis engine works across five data domains:

• Technical indicators for the detection of chart patterns

• Project fundamentals

• On-chain flows and address activity

• Social sentiment via X metrics

• Smart money activity

Among the specific AI Analysis functions the platform offers:

• AI-Powered Token Analysis

• Personalized Entry and Exit Recommendations

• Advanced Technical Analysis Tools

• Real-Time Market Monitoring

• Customizable Alerts and Notifications

• Sentiment Analysis

AI has been helping major players in market analysis and decision-making long before this became popular and before AI-powered platforms began appearing every week. Learn more about the AI in Cryptocurrency Trading: Technical Review & Market Capabilities.

The output layer forms SpoonFed Setups – predefined scenarios for entry and position management that convert observations across multiple layers into actionable steps. The scenarios are then transferred into the execution loop, and the Feedback Loop feeds the result back into the analytics workspace.

Also, the platform states real-time whale monitoring, comprehensive wallet profiling taking into account historical performance and behavioral characteristics, visualization of liquidity movement between addresses, protocols, and segments, as well as observation of narrative rotation. These signals enter the overall pipeline and are used as one of the sources for SpoonFed Setups.

All-in-One Execution is designed for single-interface operation and supports multiple take-profit and stop-loss orders, and the built-in contract safety scanners serve as a mechanism for preliminary checks for common smart contract risks and the presence of dangerous patterns.

To make all this truly convenient for each individual user, their interface supports layout customization and a Customizable Dashboard with watchlists 2.0 and a set of widgets to assemble data layers on one screen for a specific task.

To avoid missing important signals, the Alerts and Notifications system is configured by conditions and delivery channels. For collaboration and social distribution, sharing of setups and interaction via X, Discord, and Telegram are supported.

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A Good Initiative, but Is It a Worthy Product?

It is too early to state definitively. It is necessary to pass the beta stage and see how this will actually work at the level of a full-fledged system.

Also, they do not provide information about which AI models they use, how they train them, or how data management and model policies are arranged. If there are problems with the AI models, then one of the key functionalities of the platform would be eliminated.

However, even in this case, a focus on a customizable and detailed visibility toolkit, where the activity of influential addresses is concentrated and how market focus shifts across segments, can be valuable on its own. But again, only if data handling is implemented with genuine quality and reliability.