Copy Trading
Copy trading mirrors another trader's or wallet's positions automatically, inheriting both their edge and their risk profile.
/ quick answer
On-chain copy trading watches an address and replicates selected transactions, subject to filters and size limits. Structural problems: you always execute later and worse, you cannot see off-chain hedges, and past performance is heavily survivorship-biased. Filters (token age, liquidity, position size) and a hard per-trade cap matter more than the wallet you choose.
/ frequently asked
What is Copy Trading?
On-chain copy trading watches an address and replicates selected transactions, subject to filters and size limits. Structural problems: you always execute later and worse, you cannot see off-chain hedges, and past performance is heavily survivorship-biased. Filters (token age, liquidity, position size) and a hard per-trade cap matter more than the wallet you choose.
What is an example of Copy Trading?
Copying only swaps above $10k into tokens with more than $2M liquidity, capped at 1% of portfolio per trade.
Why does Copy Trading matter?
Copy trading mirrors another trader's or wallet's positions automatically, inheriting both their edge and their risk profile.
What should I learn after Copy Trading?
Open the related workflows and prompts further down this page: they show how this idea is applied in a real task, step by step.
/ continue exploring
Related concepts
The vocabulary this page depends on.
- →Crypto Automation
Crypto automation is rule-based execution of monitoring, alerting and recurring on-chain actions, so decisions are made once and applied consistently.
- →Wallet Tracking
Wallet tracking is the practice of monitoring specific addresses and getting notified when they trade, transfer or interact with contracts.
Related workflows
Turn this into a repeatable process.
- →Copy Trading Workflow
Copy a wallet with explicit filters and hard risk limits, treating it as one input among several rather than delegation of judgement.
- →Build An On-chain Alert System
Assemble a monitoring pipeline that watches addresses, tokens and contracts and delivers deduplicated, contextual alerts.
- →Smart Money Tracking Workflow
Build a curated wallet watchlist, monitor it for meaningful trades, and use alerts as research triggers rather than buy signals.
- →Automated Crypto Alerts
Define the conditions that would change a decision, monitor them automatically, and receive one clean notification instead of watching charts.
Related tool stacks
The tools that run it in production.
- →Crypto Automation Stack
Automation platform, data APIs, alerting and optional wallet execution — the operational layer for monitoring and recurring actions.
- →Smart Money Stack
Wallet tracker, on-chain analytics, alert delivery and an AI layer that turns raw wallet events into researchable signals.
- →Browser Automation Stack
Run browser agents on a schedule with credentials, retries and screenshots.
- →Research Automation Stack
Search, fetch, extract and synthesise sourced briefs on a schedule.
Related prompts
Reusable prompts for this job.
- →Build An Alert Workflow Prompt
Designs a complete alerting pipeline — events, sources, thresholds, deduplication and delivery — from a plain description.
- →High-Converting Landing Page Copy
Generate a full hero + benefits + objections + CTA section from a one-paragraph brief.
- →No-Code Automation Spec Writer
Turn a vague 'I want to automate X' into a buildable scenario spec for Make / n8n / Zapier.
Related use cases
How people apply it, and what came out.
- →Copy A Wallet
Adding filters and a hard per-trade cap turned an unprofitable copy setup into a break-even one — and revealed the edge was not transferable.
- →Automate Trading Alerts
Encoding invalidation levels as automated alerts removed screen-watching and caught two thesis breaks the trader would have slept through.
- →Create An On-chain Alert System
A purpose-built alert pipeline with enrichment and deduplication achieved a 30% action rate, versus near-zero for off-the-shelf feeds.
- →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.
- →DCA vs Lump Sum
DCA spreads entry over time to reduce timing risk and behavioural error; lump sum maximises exposure time at the cost of concentrated entry risk.
- →Smart Money vs Technical Analysis
Smart money tracking reads who is positioning; technical analysis reads how price behaves. They answer different questions and fail differently.