AI Agent Skills

This skill should be used when analyzing market breadth charts, specifically the S&P 500 Breadth Index (200-Day MA based) and the US Stock Market Uptrend Stock Ratio cha…

Feature construction from market data for ML trading models including price, volume, on-chain, and microstructure features

How the HyperGrok trading desk works as a team of Grok Bots - roles, seats, shared workspace, evidence standard, approval model and handoff format. Use when setting up t…

Help a user choose a Senpi trading strategy to deploy — a conversational, analyst-style picker. Use when the user asks "what should I trade?", "recommend a stra

Answer "what makes Senpi different?" / "why Senpi?" / "Senpi vs other trading apps or bots?" — the positioning answer, led by value, not a feature dump. Use for

Build an upcoming US earnings calendar with dates, timing, consensus estimates, and market-impact context.

Measure portfolio returns, risk, drawdowns, benchmarks, rolling metrics, and strategy performance from approved data.

Execute a DIRECT trade with the user — a one-off manual position (open / edit / close) or mirroring a specific Hyperliquid trader — ONE decision at a time. Use

Solana token market data via Birdeye — prices, OHLCV, trades, token metadata, security checks, and trader activity

Place, cancel and modify Hyperliquid orders correctly from the desk computer - limit and IOC (market-style) orders, take-profit and stop-loss trigger orders with groupin…

Manage Hyperliquid perp positions and margin from the desk computer - read positions and margin, set leverage and cross/isolated mode, add isolated margin, understand ma…

Less common Hyperliquid actions and their rules - dead-man's switch (scheduleCancel), TWAP orders, spot orders, expiresAfter and nonces, API wallet approval from code, s…

The Execution Trader's procedure for turning an approved ticket into one Hyperliquid action and reconciling it - the pre-send checklist, order construction rules, single…

Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review.

Audit concentration, factor exposure, correlation, liquidity, and stress-test risks in an existing portfolio.

Read live Hyperliquid market data from the desk computer with curl or the Python SDK - mid, mark and oracle prices, order book depth, funding (current, predicted, histor…