Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Trade Memory
Save a trade or signal event to local memory log file (trades.jsonl). Use when a trade signal is confirmed and needs to be recorded, saved, or logged for fut...
skill openclawclawhub Free
Save a trade or signal event to local memory log file (trades.jsonl). Use when a trade signal is confirmed and needs to be recorded, saved, or logged for fut...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- newbienodes
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Trade Memory
Append confirmed trade signals or executed trades to a local JSONL log file for persistent memory and history tracking.
When to Use
User says: "simpan trade ini" User says: "catat sinyal BTC tadi" User says: "log trade BUY BTC entry 94500" Agent wants to record a signal after btc-analyzer returns a result User says: "tambahkan ke trade history"
How It Works
This skill runs a local Python script that: Accepts a JSON object as input (symbol, side, entry, sl, tp, note, source, ts). Validates the input is proper JSON. Appends the trade as a single line to trades.jsonl (creates file and directory if not exists). Returns a JSON confirmation object.
Workflow
Step 1 β Collect trade data from user or agent: symbol: trading pair (e.g. BTCUSDT) side: BUY or SELL entry: entry price (number) sl: stop loss price (number) tp: take profit price (number) note: optional description or reason source: origin of signal (e.g. btc-analyzer, manual, telegram) ts: ISO timestamp (auto-filled if not provided) Step 2 β Run the save script via bash tool: python3 ~/.npm-global/lib/node_modules/openclaw/skills/trade-memory/save.py '<JSON_INPUT>' Step 3 β Confirm to user that trade was saved successfully.
Input Format
{ "symbol": "BTCUSDT", "side": "BUY", "entry": 94500, "sl": 94000, "tp": 95500, "note": "sweep+fvg signal, RSI 58", "source": "btc-analyzer", "ts": "2026-02-23T00:00:00Z" }
Output Format
{"ok": true, "path": "/home/windows_11/.openclaw/polymarket-workspace/trades.jsonl", "appended": 1, "trade": {...}}
Log File Location
/home/windows_11/.openclaw/polymarket-workspace/trades.jsonl Each line is one JSON object representing one trade event.
Error Handling
If input is not valid JSON: {"ok": false, "error": "Invalid JSON: <error detail>"}
Guardrails
Always APPEND to the file, never overwrite existing trades. Create directory and file automatically if they do not exist. Always run the script β never simulate or fake a save confirmation. Timestamp (ts) is auto-generated in UTC if not provided by user. Output must be JSON only.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md