Stop Loss & Take Profit
Stop loss and take profit are pre-committed exit rules that convert a discretionary decision into an executable instruction.
/ quick answer
A stop loss caps loss on an invalidated thesis; a take profit realises gains at a planned level. Defining both before entry is what makes position sizing meaningful. On-chain, these are not native: they require a venue with conditional orders or an automation that monitors price and submits a swap — with gas, slippage and failure handling to account for.
/ frequently asked
What is Stop Loss & Take Profit?
A stop loss caps loss on an invalidated thesis; a take profit realises gains at a planned level. Defining both before entry is what makes position sizing meaningful. On-chain, these are not native: they require a venue with conditional orders or an automation that monitors price and submits a swap — with gas, slippage and failure handling to account for.
What is an example of Stop Loss & Take Profit?
Entering with a documented invalidation level and a first take-profit at 2R, both written down before the trade.
Why does Stop Loss & Take Profit matter?
Stop loss and take profit are pre-committed exit rules that convert a discretionary decision into an executable instruction.
What should I learn after Stop Loss & Take Profit?
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 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.
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.
- →AI Trading Assistant Workflow
Use AI to research, structure and pressure-test a trade plan, keeping approval and execution firmly human.
- →Crypto Portfolio Monitoring
Aggregate positions across wallets and chains, compute real exposure, and alert on drift instead of checking balances manually.
- →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 Trading Stack
Adds an AI analysis and risk-review layer on top of a trading stack, keeping approval and execution human.
- →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.
- →Crypto Risk Analysis Prompt
Runs a pre-mortem on a position or protocol: enumerates failure modes, likelihood, impact and observable early warnings.
- →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.
- →Monitor A Crypto Portfolio
Aggregating six addresses across three chains revealed that a portfolio believed to hold 14 positions actually held one concentrated bet.
- →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 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.
- →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.
- →CEX vs DEX
Centralised exchanges optimise for liquidity, fiat access and convenience; DEXs optimise for custody, permissionless listing and on-chain transparency.
- →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.
- →DeFi vs Traditional Finance
DeFi offers open access, composability and transparent rules; traditional finance offers legal recourse, insurance and stability.