FereAI

What is FereAI?

FereAI is an AI crypto agent designed for traders with live positions. It runs strategies using a “live wallet,” monitors multiple chains in real time, and executes trading actions when predefined conditions are met.

Its core purpose is to bridge strategy intent and execution: it decomposes complex instructions into ordered tasks, pulls live data (on-chain and sentiment), and records an execution audit so users can see what ran and why.

Key Features

• Wallet-native strategy execution (live wallet): The agent runs strategies, monitors every chain it covers, and executes while you’re not actively watching.
• Multi-step, conditional execution with sub-agents: Complex strategies are broken into ordered tasks handled by specialist sub-agents (e.g., scanning, filtering, then routing to execution).
• Live-data decisioning: It evaluates conditions against live prices, on-chain data, and sentiment at the moment of execution rather than relying on hardcoded static rules.
• Full execution audit / logging: The system logs each step, data point, and decision so you can trace what it found and whether it traded or held.
• Automatic fallbacks and retry logic: If a trade route fails during peak demand, it retries with alternatives to avoid missed entries during volatility.
• Scope confirmation before execution: It flags ambiguity upfront and confirms the intended scope before placing trades.

How to Use FereAI

1. Describe your strategy in terms of the scan/execution rules (token range, on-chain filters, sentiment thresholds, and trade parameters such as TP/SL).
2. Select the relevant chains the strategy should run on (the product description references Base and Solana, and mentions multiple chains covered).
3. Deploy the strategy so the agent runs on a schedule (hourly, daily, weekly, etc., depending on your defined cadence).
4. Review outputs and history: use the provided market pulse and the full run history/audit to see what the agent did on each cycle.
5. Pause or cancel anytime if you need to stop execution immediately.

Use Cases

• Whale-gated entry for new tokens: Scan Base and Solana for tokens in a stated market-cap range, cross-reference whale net-buy thresholds over the last 24 hours, apply a sentiment score cutoff, and only execute when both conditions clear.
• Volatility-adjusted portfolio rebalancing: Run a weekly routine (e.g., every Sunday) to rotate part of alts into USDC based on dominance thresholds for ETH or BTC.
• Drawdown risk management on open positions: Check open positions on a fixed cadence (e.g., every 4 hours); if a position drops a given percentage from ATH entry, reduce exposure and set a re-entry level relative to current price.
• Smart-money mirroring (size-capped): Monitor tracked wallets; when a wallet opens a new position above a set size threshold, mirror with a capped amount and apply TP targets.
• Pre-market “alpha scout” reporting: Run a scheduled daily scan (e.g., 5:30am) to surface high-conviction setups across chains, with scoring based on sentiment and on-chain signals—returning a report rather than placing trades.

FAQ

• Does FereAI place trades automatically? Yes. The product is described as a wallet-native agent that runs strategies and executes with precision based on the rules and conditions you define. You can also create report-only workflows such as the “Pre-Market Alpha Scout.”

• What data does the agent use to make decisions? The agent uses live prices, on-chain data, and sentiment at the time of execution, rather than hardcoded static rules.

• Can I see what the agent did? Yes. It provides a full execution audit with logs of steps, data points, and decisions, so you can review what was found and why it traded or held.

• What happens if a trade route fails? The product describes automatic fallbacks: if a route fails at peak demand, it retries with alternatives to avoid missed entries.

• Can I stop a running strategy? The site states you can pause or cancel any strategy instantly and that each cycle includes full run history.

Alternatives

• Signal bots / dashboards (manual execution): Instead of wallet-native execution and an audit trail for each step, these tools typically provide alerts or dashboards and require you to place trades yourself.
• Rules-based trading bots (stateless or limited data sources): Some bots automate execution but may rely more heavily on predefined rules and less on live sentiment and end-to-end logged reasoning across multi-step tasks.
• On-chain analytics platforms + manual workflows: Platforms can help you review whale activity, TVL, and narratives, but they don’t necessarily execute trades from a live wallet or provide a full multi-step execution audit.
• Other AI assistants for research (no execution): Generic AI research tools may synthesize information, but without wallet execution and trade retry/scope-confirmation behaviors described for FereAI.