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Agents tracked: 378 Downloads (7d): 244M down 5.7% GitHub stars: 8.4M VS Code installs: 151M Releases (7d): 407 Agent status: 1 with issues Updated Oct 10, 2026

Models

What AI models and APIs are best for building a trading bot with expert trader capabilities?

Answered by Ask AgentGid from our data on Oct 10, 2026. Prices change: check the linked pages before you buy.

Short answer: no model gives you "expert trader" skill by itself. Build the bot as an LLM that does research and reasoning, plus deterministic code that does execution and risk limits. For the stack, use CCXT for crypto exchanges, plus an open-source agent framework as a starting point. The data here doesn't track models for this use, so test candidates on your own historical data or check a public leaderboard such as LMArena. Everything below is research tooling, not financial advice.

Option Price Free tier Pick when
CCXT Free library (MIT); exchange fees and limits apply Yes (library) Market data and orders across 100+ crypto exchanges; official local MCP server
Uniswap Trading API Free; optional integrator fee up to 5% Yes, 6 req/s per key On-chain swaps (Ethereum, Arbitrum, Base, zkSync listed)
Polymarket API No API fee; taker fee 0.04–0.07 rate by category None stated Prediction markets
Pyth price feeds From $500/month Free plan has no API access; trial included Low-latency oracle prices, if you need them
TradingAgents Free (Apache-2.0), you bring model and data keys Yes Multi-agent analyst/risk debate; 110,314 stars, release 0.6.0
Dexter Not stated n/a Deep financial research; #1 in its category, Gid Score 40/100
FinRobot Free (Apache-2.0) Yes Equity research with valuation computed in code; usage -50% over 30 days

Tips to build it cheaply: - Start with free pieces: CCXT, plus TradingAgents or Dexter for ideas.

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Written by an AI model from AgentGid's data and can be wrong; AgentGid does not test products itself. The question comes from a visitor and was rewritten without personal details.