AI Trading Assistant Workflow
Use AI to research, structure and pressure-test a trade plan, keeping approval and execution firmly human.
/ quick answer
An assistant that assembles market and on-chain context, drafts a plan with explicit risk parameters, argues the opposite case, and hands it to you for approval. Use AI to research, structure and pressure-test a trade plan, keeping approval and execution firmly human.
- 01Ingest context: price structure, liquidity, on-chain flows, upcoming catalysts and unlocks.
- 02AI analysis: summarise the setup, the assumptions it depends on, and what would falsify it.
- 03Plan generation: entry zone, invalidation level, position size from your risk-per-trade rule, first target.
- 04Adversarial pass: instruct the model to argue against the trade and list what it cannot verify.
- 05Risk gate: reject the plan automatically if size exceeds limits or the invalidation level is undefined.
- 06Human approval: you accept, modify or discard — the assistant never signs.
- 07Execution and logging: execute manually from your wallet or CEX, log plan versus outcome for later review.
Can the AI trade for me?
Technically yes, and it is a bad default. Language models are non-deterministic and can act on fabricated inputs. Keep signing human, or restrict execution to deterministic code with allowlists and spend caps.
/ continue exploring
Related concepts
The vocabulary this page depends on.
- →On-chain Agent
An on-chain agent is an AI agent with read access to blockchain data and a tightly scoped ability to propose or execute transactions.
- →Stop Loss & Take Profit
Stop loss and take profit are pre-committed exit rules that convert a discretionary decision into an executable instruction.
- →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.
- →Autonomous Workflow
An autonomous workflow runs end-to-end without a human triggering each step — an agent decides the path, while humans set goals and approve exceptions.
Related workflows
Turn this into a repeatable process.
- →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.
- →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.
- →DEX Trading Workflow
Execute an on-chain swap deliberately: research, liquidity check, route comparison, sized order, then position monitoring.
Related tool stacks
The tools that run it in production.
- →AI Trading Stack
Adds an AI analysis and risk-review layer on top of a trading stack, keeping approval and execution human.
- →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.
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.
- →Trading Assistant Agent Prompt
System prompt for an assistant that drafts trade plans, argues against them, and never executes.
- →Position Sizing Prompt
Calculates defensible position size from risk-per-trade, invalidation distance and real exit liquidity.
- →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.