Inline backtest runner for Indian equities with EMA crossover strategy and benchmark comparison.
Works with
Fetches OHLC data from OpenAlgo (with yfinance fallback) and runs a TA-Lib EMA 10/20 crossover strategy without file creation
Applies Indian delivery fees (0.111% + Rs 20 per order) and automatically fetches NIFTY benchmark for alpha calculation
Prints compact results summary including total return, Sharpe/Sortino ratios, max drawdown, win rate, and profit factor with plain-language metri
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionquick-statsExecute the skills CLI command in your project's root directory to begin installation:
Fetches quick-stats from marketcalls/vectorbt-backtesting-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate quick-stats. Access via /quick-stats in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Automate repetitive workflows and reduce manual effort
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Save 3-5 hours per week on routine tasks
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Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
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Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Generate a quick inline backtest and print stats. Do NOT create a file - output code directly for the user to run or execute in a notebook.
$0 = symbol (e.g., SBIN, RELIANCE). Default: SBIN$1 = exchange. Default: NSE$2 = interval. Default: DGenerate a single code block the user can paste into a Jupyter cell or run as a script. The code must:
ta.exrem() (always .fillna(False) before exrem)fees=0.00111, fixed_fees=20symbol="NIFTY", exchange="NSE_INDEX")Symbol: SBIN | Exchange: NSE | Interval: D
Strategy: EMA 10/20 Crossover
Period: 2023-01-01 to 2026-02-27
Fees: Delivery Equity (0.111% + Rs 20/order)
-------------------------------------------
Total Return: 45.23%
Sharpe Ratio: 1.45
Sortino Ratio: 2.01
Max Drawdown: -12.34%
Win Rate: 42.5%
Profit Factor: 1.67
Total Trades: 28
-------------------------------------------
Benchmark (NIFTY): 32.10%
Alpha: +13.13%
template="plotly_dark")/quick-stats RELIANCE
/quick-stats HDFCBANK NSE 1h
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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Solid pick for teams standardizing on skills: quick-stats is focused, and the summary matches what you get after install.
I recommend quick-stats for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added quick-stats from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
quick-stats reduced setup friction for our internal harness; good balance of opinion and flexibility.
quick-stats is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
quick-stats fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend quick-stats for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: quick-stats is focused, and the summary matches what you get after install.
Useful defaults in quick-stats — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for quick-stats matched our evaluation — installs cleanly and behaves as described in the markdown.
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