| name | varrd-search |
| description | Find saved strategies by keyword or natural language query. Use when the user wants to look up or browse previously validated trading strategies. |
| version | 1.0.0 |
| tools | ["Bash"] |
| homepage | https://varrd.com |
| metadata | {"openclaw":{"requires":{"bins":["varrd"]},"emoji":"🔎"}} |
VARRD Search — Find Saved Strategies
Use this skill when a user wants to find strategies in their library by topic, keyword, or market.
Command
varrd search "<query>"
varrd search "RSI oversold" --market ES
varrd search "momentum strategies" --limit 5
How It Works
Searches all saved strategies using keyword and semantic matching. Returns matches ranked by relevance with key stats (win rate, Sharpe, edge status).
Options
| Flag | Description |
|---|
--market ES | Filter results to a specific market |
--limit N | Max results to return (default 10) |
Examples
varrd search "momentum strategies"
varrd search "RSI oversold"
varrd search "corn seasonal"
varrd search "mean reversion" --market ES
varrd search "volatility" --limit 20
Reading the Output
Each result includes:
- Strategy name and hypothesis ID
- Formula — the pattern expression
- Market and direction
- Edge status — whether a validated edge was found
- Win rate and Sharpe ratio
- Similarity score — how closely it matches your query
Tips
- Use natural language: "strategies that work on crude oil" works just as well as "CL"
- Use the hypothesis ID from results with
varrd hypothesis <id> for full details
- Search is free — no credits consumed
Cost
Free. No credits consumed.
Python SDK Equivalent
from varrd import VARRD
v = VARRD()
results = v.search("momentum on grains", limit=5)
for r in results.results:
print(f"{r.name} ({r.market}) — edge: {r.has_edge}, WR: {r.win_rate}")
