quick-stats

Name: quick-stats
Author: marketcalls

177stars45forks

How to install quick-stats?

marketcalls/vectorbt-backtesting-skills/quick-stats

$npx -y skills add marketcalls/vectorbt-backtesting-skills --skill quick-stats

Installs into the current project.

Summary

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.

Files · 1

View on GitHub

SKILL.md

1	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.
2
3	## Arguments
4
5	- `$0` = symbol (e.g., SBIN, RELIANCE). Default: SBIN
6	- `$1` = exchange. Default: NSE
7	- `$2` = interval. Default: D
8
9	## Instructions
10
11	Generate a single code block the user can paste into a Jupyter cell or run as a script. The code must:
12
13	1. Fetch data from OpenAlgo (or DuckDB if user provides a DB path, or yfinance as fallback)
14	2. Use OpenAlgo ta for EMA 10/20 crossover by default (never VectorBT built-in); only use TA-Lib if the user explicitly says "talib"/"TA-Lib"
15	3. Clean signals with `ta.exrem()` (always `.fillna(False)` before exrem)
16	4. Use Indian delivery fees: `fees=0.00111, fixed_fees=20`
17	5. Fetch NIFTY benchmark via OpenAlgo (`symbol="NIFTY", exchange="NSE_INDEX"`)
18	6. Print a compact results summary:
19
20	```
21	Symbol: SBIN \| Exchange: NSE \| Interval: D
22	Strategy: EMA 10/20 Crossover
23	Period: 2023-01-01 to 2026-02-27
24	Fees: Delivery Equity (0.111% + Rs 20/order)
25	-------------------------------------------
26	Total Return: 45.23%
27	Sharpe Ratio: 1.45
28	Sortino Ratio: 2.01
29	Max Drawdown: -12.34%
30	Win Rate: 42.5%
31	Profit Factor: 1.67
32	Total Trades: 28
33	-------------------------------------------
34	Benchmark (NIFTY): 32.10%
35	Alpha: +13.13%
36	```
37
38	7. Explain key metrics in plain language for normal traders
39	8. Show equity curve plot using Plotly (`template="plotly_dark"`)
40
41	## Example Usage
42
43	`/quick-stats RELIANCE`
44	`/quick-stats HDFCBANK NSE 1h`

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quick-stats

177stars45forks

View on GitHub

How to install quick-stats?

marketcalls/vectorbt-backtesting-skills/quick-stats

$npx -y skills add marketcalls/vectorbt-backtesting-skills --skill quick-stats

Installs into the current project.

Summary

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.

Files · 1

View on GitHub

SKILL.md

1	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.
2
3	## Arguments
4
5	- `$0` = symbol (e.g., SBIN, RELIANCE). Default: SBIN
6	- `$1` = exchange. Default: NSE
7	- `$2` = interval. Default: D
8
9	## Instructions
10
11	Generate a single code block the user can paste into a Jupyter cell or run as a script. The code must:
12
13	1. Fetch data from OpenAlgo (or DuckDB if user provides a DB path, or yfinance as fallback)
14	2. Use OpenAlgo ta for EMA 10/20 crossover by default (never VectorBT built-in); only use TA-Lib if the user explicitly says "talib"/"TA-Lib"
15	3. Clean signals with `ta.exrem()` (always `.fillna(False)` before exrem)
16	4. Use Indian delivery fees: `fees=0.00111, fixed_fees=20`
17	5. Fetch NIFTY benchmark via OpenAlgo (`symbol="NIFTY", exchange="NSE_INDEX"`)
18	6. Print a compact results summary:
19
20	```
21	Symbol: SBIN \| Exchange: NSE \| Interval: D
22	Strategy: EMA 10/20 Crossover
23	Period: 2023-01-01 to 2026-02-27
24	Fees: Delivery Equity (0.111% + Rs 20/order)
25	-------------------------------------------
26	Total Return: 45.23%
27	Sharpe Ratio: 1.45
28	Sortino Ratio: 2.01
29	Max Drawdown: -12.34%
30	Win Rate: 42.5%
31	Profit Factor: 1.67
32	Total Trades: 28
33	-------------------------------------------
34	Benchmark (NIFTY): 32.10%
35	Alpha: +13.13%
36	```
37
38	7. Explain key metrics in plain language for normal traders
39	8. Show equity curve plot using Plotly (`template="plotly_dark"`)
40
41	## Example Usage
42
43	`/quick-stats RELIANCE`
44	`/quick-stats HDFCBANK NSE 1h`

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6 picks

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