Stock Liquidity
Analyze how liquid a stock is using Yahoo Finance data (yfinance): bid-ask spreads...
Install
npx skills add himself65/finance-skills --skill stock-liquidity -g -a claude-code -y- Repository
- himself65/finance-skills3.5k
- Category
- Business
- Updated
- 10d ago
- License
- MIT
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- No, instructions only
What it does
Analyze how liquid a stock is using Yahoo Finance data (yfinance): bid-ask spreads, volume and dollar volume (ADTV), top-of-book and options depth, square-root market impact and slippage estimates, turnover ratio, and Amihud illiquidity, rolled into a liquidity grade. Use this skill whenever the user asks about liquidity or trading costs, how easily a position can be entered or exited, what a large order would do to the price, spread or execution-cost estimates, order book depth, volume patterns, or liquidity comparisons, especially for small caps, penny stocks, and thinly traded names.
Stock Liquidity Analysis Skill
If your host has not already executed the shell probes below (for example, in Codex), run the commands inside the ! wrappers with its shell tool before choosing a setup path. Use the actual output; if shell access is unavailable, report that limitation.
Analyzes stock liquidity across multiple dimensions, bid-ask spreads, volume patterns, order book depth, estimated market impact, and turnover ratios, using data from Yahoo Finance via yfinance.
Liquidity matters because it determines the real cost of trading. The quoted price is not what you actually pay, spreads, slippage, and market impact all eat into returns, especially for larger positions or less liquid names.
Important: This is for research and educational purposes only. Not financial advice. yfinance is not affiliated with Yahoo, Inc.
Step 1: Ensure Dependencies Are Available
Current environment status:
!`python3 -c "exec('try:\n import yfinance, pandas, numpy\n print(f\'yfinance={yfinance.__version__} pandas={pandas.__version__} numpy={numpy.__version__}\')\nexcept Exception:\n print(\'DEPS_MISSING\')')"`
If DEPS_MISSING, install required packages:
import subprocess, sys
subprocess.check_call([sys.executable, "-m", "pip", "install", "-q", "yfinance", "pandas", "numpy"])
If already installed, skip and proceed.
Step 2: Route to the Correct Sub-Skill
Classify the user's request and jump to the matching section. If the user asks for a general liquidity assessment without specifying a particular metric, run Sub-Skill A (Liquidity Dashboard) which computes all key metrics together.
