desk-strategy-lab
FeaturedHow the Strategist works with the user to turn their own trading idea into explicit rules, backtest it honestly on Hyperliquid candle and funding history, and paper-trade it on testnet through the desk lifecycle. Method only - the desk ships no strategies and makes no return claims. Use when the user wants to design, test, compare or paper-trade an idea.
Install
Quality Score: 88/100
Skill Content
Details
- Author
- galleonlabs
- Repository
- galleonlabs/hypergrok-trading-desk
- Created
- 3 weeks ago
- Last Updated
- yesterday
- Language
- Python
- License
- MIT
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
desk-strategy-lab
How the Strategist turns the user's own trading idea into explicit rules, tests it honestly on Strike candle and funding history without fooling anybody, and runs it forward at minimum size through the desk lifecycle. Method only - the desk ships no strategies and makes no claims about returns. Use when the user wants to design, test, compare or forward-test an idea.
desk-trade-lifecycle
How one trade travels the StrikeGrok desk from first idea to written review - the seven stages, who owns each, the proposal file, the ticket format, what counts as approval, and when a proposal is live, closed or void. Use whenever the user wants to open, adjust or close a position, and whenever any Bot is about to write to the exchange.
strategy-generation
Turn a natural-language trading idea into a disciplined, testable strategy spec and implementation. Trigger for "帮我生成一个动量策略", "写一个BTC均值 回归策略", "设��多因子选股", "做一个ETF轮动", "generate a momentum strategy", "build me a trading strategy", "turn this idea into code", or whenever the user (1) describes a trading idea and wants it made concrete, (2) asks for strategy code, (3) wants strategy variants compared, or (4) asks to improve an existing strategy. Fire even for vague asks ("有什么好策略推荐吗" — the answer is a disciplined spec, not a tip). Do NOT trigger for validating an already-backtested result (backtest-validation) or for pure factor evaluation (factor-research).