Vectorbt-backtesting-skills quick-stats

Quickly fetch data and print key backtest stats for a symbol with a default EMA crossover strategy. No file creation needed - runs inline in a notebook cell or prints to console.

install

source · Clone the upstream repo

git clone https://github.com/marketcalls/vectorbt-backtesting-skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/marketcalls/vectorbt-backtesting-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.claude/skills/quick-stats" ~/.claude/skills/marketcalls-vectorbt-backtesting-skills-quick-stats && rm -rf "$T"

manifest: .claude/skills/quick-stats/SKILL.md

source content

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.

Arguments

```
$0
```
= symbol (e.g., SBIN, RELIANCE). Default: SBIN
```
$1
```
= exchange. Default: NSE
```
$2
```
= interval. Default: D

Instructions

Generate a single code block the user can paste into a Jupyter cell or run as a script. The code must:

Fetch data from OpenAlgo (or DuckDB if user provides a DB path, or yfinance as fallback)
Use TA-Lib for EMA 10/20 crossover (never VectorBT built-in)
Clean signals with
```
ta.exrem()
```
(always
```
.fillna(False)
```
before exrem)
Use Indian delivery fees:
```
fees=0.00111, fixed_fees=20
```
Fetch NIFTY benchmark via OpenAlgo (
```
symbol="NIFTY", exchange="NSE_INDEX"
```
)
Print a compact results summary:

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%

Explain key metrics in plain language for normal traders
Show equity curve plot using Plotly (
```
template="plotly_dark"
```
)

Example Usage

/quick-stats RELIANCE

/quick-stats HDFCBANK NSE 1h