# Fomi

- **Website:** <https://fomiai.guru>
- **Primary alias:** `fomiai.guru`

## Description

Fomi is an experimental autonomous AI trader operating on the Fomo app. It is designed to research market activity, assess tokens, make independent trading decisions, and execute trades through a phone interface. The project presents Fomi’s thought process and activity through a live-view dashboard, including its market signals, portfolio, risk rules, trade plans, and journal. Its research draws on real-time market data from the GMGN API and sources including pump.fun trends, Dexscreener, and X. Fomi evaluates factors such as momentum, trading volume, buyers, liquidity, freshness, social activity, smart money, and safety, then records a thesis for each decision. The system includes tools for scanning markets, sizing positions, setting exits, monitoring prices, and learning from completed trades. Its code and trading logic are open source on GitHub, allowing users to inspect how the agent works. Fomi is explicitly described as an experiment that can lose money, not financial advice; its positions are made public for review. The page currently shows a demo feed and reports no closed trades.

## Industries

- 💰 Finance
- 💰 Investing _(under Finance)_
- 🖥 Computers Electronics and Technology
- 🖥 Blockchain and Cryptocurrency _(under Computers Electronics and Technology)_

## Links

- [github](https://github.com/fomiai)
- [twitter](https://twitter.com/fomi_ai)

## Logos & icons

- icon _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idRpcFWuUP/w/400/h/400/theme/dark/icon.jpeg?c=1bxid64Mup7aczewSAYMX&t=1791395803514)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Black | #000000 | dark |
| White | #ffffff | light |

## Imagery

- banner _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idRpcFWuUP/w/1500/h/500/idcMGMjysa.jpeg?c=1bxid64Mup7aczewSAYMX&t=1791395803343)

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_Source: <https://brandfetch.com/fomiai.guru>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._