Building an AI crypto trading tool, in the open.
Plain-English guides on LLM-driven crypto trading — what these tools actually are, how they differ from rule-based bots, and how to turn a thesis into a strategy you control. Plus a running log of how KAI gets made.
Educational content only. Not investment advice. Crypto trading carries significant risk of loss.
Guides
13 / READ-
01 / PRIMER
What is an AI crypto trading bot?
What an LLM-driven bot actually is, how it differs from rule-based automation, and the four things it does not do — including hold your funds.
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02 / COMPARE
LLM vs rule-based trading bots
Deterministic rules vs context-aware reasoning: how each decides, where each breaks, and a side-by-side on adaptability, cost, and failure mode.
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03 / HOW-TO
How to build an LLM trading strategy
A six-step walkthrough: write your edge as plain rules, turn it into a prompt, set hard limits, validate on paper, then iterate and swap the model.
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04 / MODELS
Claude for crypto trading
What Claude reads well in a trading loop, where it fails, the Opus vs Sonnet trade-off, and how to run it safely against a live market.
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05 / MODELS
Can ChatGPT trade crypto?
What a chat window can and cannot do for a trader, why it is not a trading loop, and which models actually run strategies autonomously.
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06 / MODELS
DeepSeek as a trading bot brain
What order-of-magnitude cheaper inference changes about loop design, where DeepSeek is strong, and the weak spots to design around.
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07 / MODELS
Gemini for crypto trading
The long-context play: whole candle histories and news digests in one prompt, fast cheap tiers, and where Gemini slips.
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08 / COMPARE
Which LLM is best for trading?
Claude, Gemini, DeepSeek and MiniMax side by side — reasoning depth, context, cost, latency — and how to test the question for yourself.
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09 / HOW-TO
LLM trading prompt examples
The anatomy of a trading prompt, plus entry and manage templates you fill with your own criteria — templates, not turnkey strategies.
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10 / VENUES
AI trading bot for Hyperliquid
Running an LLM strategy on an API-first perp DEX: the non-custodial agent-key model, funding and liquidity caveats, leverage caps.
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11 / HOW-TO
Paper trading with an AI bot
Prove the strategy before it costs you: what to measure beyond PnL, how long to run, and what simulation cannot tell you.
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12 / HOW-TO
How an AI bot manages positions
Take-profit ladders, breakeven snaps, trailing and time stops — and why mechanical exits belong in code, not in the prompt.
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13 / HONEST
Is AI crypto trading profitable?
Sometimes, for some strategies, for some periods — and nobody can promise which. What determines outcomes and how to find out for yours.
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Building in the open
Posts from @buildingkai. Not investment advice.
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