AI Trading Stack
Adds an AI analysis and risk-review layer on top of a trading stack, keeping approval and execution human.
/ quick answer
Generate structured, pressure-tested trade plans consistently, so execution quality stops depending on mood or attention. Adds an AI analysis and risk-review layer on top of a trading stack, keeping approval and execution human.
- LLM with a strong reasoning model — analysis, plan drafting, adversarial review
- Market data API — price, volume and derivatives context
- On-chain analytics — flows and holder behaviour
- Risk calculator (spreadsheet or script) — deterministic position sizing
- Web3 wallet or exchange account — human-executed signing only
- Plan-versus-outcome log — process evaluation independent of PnL
- Fully deterministic rule bots when execution must be repeatable
/ frequently asked
What is the AI Trading Stack stack for?
Generate structured, pressure-tested trade plans consistently, so execution quality stops depending on mood or attention.
Which tools are in this stack?
LLM with a strong reasoning model — analysis, plan drafting, adversarial review, Market data API — price, volume and derivatives context, On-chain analytics — flows and holder behaviour, Risk calculator (spreadsheet or script) — deterministic position sizing, Web3 wallet or exchange account — human-executed signing only, Plan-versus-outcome log — process evaluation independent of PnL.
Are there alternatives to this stack?
Yes — Fully deterministic rule bots when execution must be repeatable.
/ continue exploring
Related concepts
The vocabulary this page depends on.
- →Crypto Risk Management
Risk management in crypto is position sizing plus custody hygiene: deciding what you can lose per trade and what a single compromise can reach.
- →Stop Loss & Take Profit
Stop loss and take profit are pre-committed exit rules that convert a discretionary decision into an executable instruction.
- →Copy Trading
Copy trading mirrors another trader's or wallet's positions automatically, inheriting both their edge and their risk profile.
Related workflows
Turn this into a repeatable process.
- →AI Trading Assistant Workflow
Use AI to research, structure and pressure-test a trade plan, keeping approval and execution firmly human.
- →AI Crypto Research Workflow
A repeatable research loop: turn a question into market data, on-chain evidence and a written risk view before any position is considered.
- →Automated Crypto Alerts
Define the conditions that would change a decision, monitor them automatically, and receive one clean notification instead of watching charts.
- →Automated DCA Workflow
Set a recurring buy schedule that runs without your attention, with sizing and frequency chosen so fees stay negligible.
Related tool stacks
The tools that run it in production.
- →AI Crypto Research Stack
A read-only research stack combining an AI assistant, web search, market data and on-chain analytics to screen assets quickly.
- →Crypto Trading Stack
Market data, charting, DEX access and a Web3 wallet — the minimum toolset for deliberate on-chain trade execution.
- →Agent Architecture Stack
The minimum tooling to design, run and observe a production agent.
- →Multi-Agent Orchestration Stack
Tooling for coordinating several specialised agents with reliable handoffs.
Related prompts
Reusable prompts for this job.
- →Trading Strategy Generation Prompt
Converts a market view into a written, testable strategy with entry rules, invalidation, sizing and explicit failure conditions.
- →Position Sizing Prompt
Calculates defensible position size from risk-per-trade, invalidation distance and real exit liquidity.
- →Trading Assistant Agent Prompt
System prompt for an assistant that drafts trade plans, argues against them, and never executes.
- →Crypto Market Analysis Prompt
Produces a structured market brief: regime, liquidity conditions, sector rotation, catalysts and what would change the view.
Related use cases
How people apply it, and what came out.
- →Build An AI Trading Assistant
An assistant that drafts and attacks its own trade plans raised plan completeness to 100% and rejected a fifth of setups on liquidity grounds.
- →Automate Trading Alerts
Encoding invalidation levels as automated alerts removed screen-watching and caught two thesis breaks the trader would have slept through.
- →Build An AI Crypto Research Agent
A read-only research agent produced daily briefings on a 30-token watchlist, cutting a 90-minute manual routine to a 10-minute review.
- →Get Token Alerts
Replacing price-only alerts with condition-based rules cut notifications by 80% and caught a liquidity withdrawal before price reflected it.
Comparisons & alternatives
Pick between the options.
- →Manual Trading vs Automated Trading
Manual trading adapts to context; automation enforces consistency. Most durable setups automate monitoring and keep judgement human.
- →AI Agent vs Trading Bot
A trading bot executes fixed rules deterministically; an AI agent interprets context and decides which steps to take — powerful for research, risky for execution.
- →CEX vs DEX
Centralised exchanges optimise for liquidity, fiat access and convenience; DEXs optimise for custody, permissionless listing and on-chain transparency.
- →AI Research vs Traditional Research
AI research compresses breadth and drafting; traditional research supplies verification and accountability for the claims you act on.