A local logging utility that appends confirmed trade signals and execution data to a persistent JSONL file for history tracking.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install trade-memory
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install trade-memory using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Trade Memory is a robust utility designed to provide a persistent memory layer for trading activities. It enables AI agents to systematically record trade signals, entry points, and exit strategies into a local trades.jsonl file. This ensures that every confirmed action—whether triggered by a manual command or an automated analysis tool—is captured for future reference, auditing, and performance review.
By serving as a dedicated data bridge, Trade Memory allows users of Openclaw Skills to build a comprehensive ledger of their market interactions. The skill handles file management automatically, ensuring that directories and log files are created on the fly, while maintaining an append-only structure to protect historical data integrity.
The Trade Memory skill requires Python 3 to be installed on the local system. The script is automatically managed as part of the Openclaw Skills ecosystem.
# Verify Python installation
python3 --version
# The skill executes the following internal command structure
python3 ~/.npm-global/lib/node_modules/openclaw/skills/trade-memory/save.py '<JSON_DATA>'
Trades are stored in a line-delimited JSON format (JSONL). Each entry represents a single trade event with the following structure:
| Field | Type | Description |
|---|---|---|
| symbol | String | Trading pair identifier (e.g., BTCUSDT) |
| side | String | Direction of the trade (BUY or SELL) |
| entry | Number | The execution or entry price |
| sl | Number | Stop loss price level |
| tp | Number | Take profit price level |
| note | String | Optional metadata or reasoning for the trade |
| source | String | The origin of the signal (e.g., manual, analyzer) |
| ts | ISO8601 | UTC timestamp of the log entry |
Loading
A local Python-powered skill for retrieving and filtering recorded trade logs from a structured JSONL file.

A professional-grade technical analysis tool that fetches live Bitcoin data and generates trading signals using EMA and RSI indicators.

A conversational AI agent for launching and managing Solana tokens on Pump.fun with built-in fee sharing and portfolio tracking.

A comprehensive CLI tool for generating AI-powered UGC videos, featuring talking heads, lip-sync, and automated B-roll assembly.

An automation tool for managing Hytale dedicated servers via the official downloader and screen sessions.

A MetaID-based toolkit for creating AI agents, managing digital identities, and broadcasting on-chain Buzz messages.








































