setup

Name: setup
Author: marketcalls

177stars45forks

How to install setup?

marketcalls/vectorbt-backtesting-skills/setup

$npx -y skills add marketcalls/vectorbt-backtesting-skills --skill setup

Installs into the current project.

Summary

Set up the Python backtesting environment. Detects OS, creates virtual environment, installs dependencies (openalgo, ta-lib, vectorbt, plotly), and creates the backtesting folder structure.

Files · 1

View on GitHub

SKILL.md

1	Set up the complete Python backtesting environment for VectorBT + OpenAlgo.
2
3	## Arguments
4
5	- `$0` = Python version (optional, default: `python3`). Examples: `python3.12`, `python3.13`
6
7	## Steps
8
9	### Step 1: Detect Operating System
10
11	Run the following to detect the OS:
12
13	```bash
14	uname -s 2>/dev/null \|\| echo "Windows"
15	```
16
17	Map the result:
18	- `Darwin` = macOS
19	- `Linux` = Linux
20	- `MINGW` or `CYGWIN` or `Windows` = Windows
21
22	Print the detected OS to the user.
23
24	### Step 2: Create Virtual Environment
25
26	Create a Python virtual environment in the current working directory:
27
28	macOS / Linux:
29	```bash
30	python3 -m venv venv
31	source venv/bin/activate
32	pip install --upgrade pip
33	```
34
35	Windows:
36	```bash
37	python -m venv venv
38	venv\Scripts\activate
39	pip install --upgrade pip
40	```
41
42	If the user specified a Python version argument, use that instead of `python3`:
43	```bash
44	$PYTHON_VERSION -m venv venv
45	```
46
47	### Step 3: TA-Lib System Dependency (Optional)
48
49	OpenAlgo ta (`from openalgo import ta`) is the default indicator library for this project - it ships 100+ indicators and needs no separate system dependency. TA-Lib is only needed if the user wants to be able to say "use talib" for a specific backtest.
50
51	Ask the user with AskUserQuestion:
52	- "Do you also want TA-Lib installed for when you explicitly request it in a backtest? (Optional - OpenAlgo ta already covers the same indicators plus 90+ more)"
53	- Yes, install TA-Lib too
54	- No, skip it (recommended - install it later if ever needed)
55
56	If the user skips it, skip this entire step and omit `ta-lib` from the Step 4 pip install. If the user wants it, TA-Lib requires a C library installed at the OS level BEFORE `pip install ta-lib`.
57
58	macOS:
59	```bash
60	brew install ta-lib
61	```
62
63	Linux (Debian/Ubuntu):
64	```bash
65	sudo apt-get update
66	sudo apt-get install -y build-essential wget
67	wget http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz
68	tar -xzf ta-lib-0.4.0-src.tar.gz
69	cd ta-lib/
70	./configure --prefix=/usr
71	make
72	sudo make install
73	cd ..
74	rm -rf ta-lib ta-lib-0.4.0-src.tar.gz
75	```
76
77	Linux (RHEL/CentOS/Fedora):
78	```bash
79	sudo yum groupinstall -y "Development Tools"
80	wget http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz
81	tar -xzf ta-lib-0.4.0-src.tar.gz
82	cd ta-lib/
83	./configure --prefix=/usr
84	make
85	sudo make install
86	cd ..
87	rm -rf ta-lib ta-lib-0.4.0-src.tar.gz
88	```
89
90	Windows:
91	```
92	pip install ta-lib
93	```
94	If that fails, download the appropriate .whl file from https://github.com/cgohlke/talib-build/releases and install with:
95	```bash
96	pip install TA_Lib-0.4.32-cp312-cp312-win_amd64.whl
97	```
98
99	### Step 4: Install Python Packages
100
101	Install all required packages (latest versions). `openstatz` replaces QuantStats for tearsheets - always install it, never `quantstats`:
102
103	```bash
104	pip install openalgo vectorbt plotly anywidget nbformat pandas numpy yfinance python-dotenv tqdm scipy numba nbformat ipywidgets openstatz ccxt duckdb psutil
105	```
106
107	If the user opted into TA-Lib in Step 3, append `ta-lib` to this install command (after the C library is installed).
108
109	### Step 5: Create Backtesting Folder
110
111	Create only the top-level backtesting directory. Strategy subfolders are created on-demand when a backtest script is generated (by the `/backtest` skill).
112
113	```bash
114	mkdir -p backtesting
115	```
116
117	Do NOT pre-create strategy subfolders.
118
119	### Step 6: Configure .env File
120
121	6a. Check if `.env.sample` exists at the project root. If it does, use it as a template.
122
123	6b. Ask the user which markets they will be backtesting using AskUserQuestion:
124	- Indian Markets (OpenAlgo) — requires OpenAlgo API key
125	- Indian Markets (DuckDB) — direct database loading, no API needed
126	- US Markets (yfinance) — no API key needed
127	- Crypto Markets (CCXT) — optional API key for private data
128
129	6c. If the user selected Indian Markets, ask for their OpenAlgo API key:
130	- Ask: "Enter your OpenAlgo API key (from the OpenAlgo dashboard):"
131	- If the user provides a key, store it in `.env`
132	- If the user skips, write a placeholder
133
134	6d. If the user selected Indian Markets (DuckDB), ask for the DuckDB database path:
135	- Ask: "Enter the path to your DuckDB database file (e.g., D:/data/market_data.duckdb):"
136	- Auto-detect format: If the database has a `market_data` table with `symbol, exchange, interval, timestamp` columns, it is OpenAlgo Historify format (store as `HISTORIFY_DB_PATH`). Otherwise store as `DUCKDB_PATH`.
137	- If the user also has OpenAlgo Historify, ask: "Is this an OpenAlgo Historify database? (y/n)"
138
139	6e. If the user selected Crypto Markets, ask if they want to configure exchange API keys:
140	- Ask: "Do you have exchange API keys for authenticated data? (Optional — public OHLCV data works without keys)"
141	- If yes, ask for

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setup

177stars45forks

View on GitHub

How to install setup?

marketcalls/vectorbt-backtesting-skills/setup

$npx -y skills add marketcalls/vectorbt-backtesting-skills --skill setup

Installs into the current project.

Summary

Set up the Python backtesting environment. Detects OS, creates virtual environment, installs dependencies (openalgo, ta-lib, vectorbt, plotly), and creates the backtesting folder structure.

Files · 1

View on GitHub

SKILL.md

1	Set up the complete Python backtesting environment for VectorBT + OpenAlgo.
2
3	## Arguments
4
5	- `$0` = Python version (optional, default: `python3`). Examples: `python3.12`, `python3.13`
6
7	## Steps
8
9	### Step 1: Detect Operating System
10
11	Run the following to detect the OS:
12
13	```bash
14	uname -s 2>/dev/null \|\| echo "Windows"
15	```
16
17	Map the result:
18	- `Darwin` = macOS
19	- `Linux` = Linux
20	- `MINGW` or `CYGWIN` or `Windows` = Windows
21
22	Print the detected OS to the user.
23
24	### Step 2: Create Virtual Environment
25
26	Create a Python virtual environment in the current working directory:
27
28	macOS / Linux:
29	```bash
30	python3 -m venv venv
31	source venv/bin/activate
32	pip install --upgrade pip
33	```
34
35	Windows:
36	```bash
37	python -m venv venv
38	venv\Scripts\activate
39	pip install --upgrade pip
40	```
41
42	If the user specified a Python version argument, use that instead of `python3`:
43	```bash
44	$PYTHON_VERSION -m venv venv
45	```
46
47	### Step 3: TA-Lib System Dependency (Optional)
48
49	OpenAlgo ta (`from openalgo import ta`) is the default indicator library for this project - it ships 100+ indicators and needs no separate system dependency. TA-Lib is only needed if the user wants to be able to say "use talib" for a specific backtest.
50
51	Ask the user with AskUserQuestion:
52	- "Do you also want TA-Lib installed for when you explicitly request it in a backtest? (Optional - OpenAlgo ta already covers the same indicators plus 90+ more)"
53	- Yes, install TA-Lib too
54	- No, skip it (recommended - install it later if ever needed)
55
56	If the user skips it, skip this entire step and omit `ta-lib` from the Step 4 pip install. If the user wants it, TA-Lib requires a C library installed at the OS level BEFORE `pip install ta-lib`.
57
58	macOS:
59	```bash
60	brew install ta-lib
61	```
62
63	Linux (Debian/Ubuntu):
64	```bash
65	sudo apt-get update
66	sudo apt-get install -y build-essential wget
67	wget http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz
68	tar -xzf ta-lib-0.4.0-src.tar.gz
69	cd ta-lib/
70	./configure --prefix=/usr
71	make
72	sudo make install
73	cd ..
74	rm -rf ta-lib ta-lib-0.4.0-src.tar.gz
75	```
76
77	Linux (RHEL/CentOS/Fedora):
78	```bash
79	sudo yum groupinstall -y "Development Tools"
80	wget http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz
81	tar -xzf ta-lib-0.4.0-src.tar.gz
82	cd ta-lib/
83	./configure --prefix=/usr
84	make
85	sudo make install
86	cd ..
87	rm -rf ta-lib ta-lib-0.4.0-src.tar.gz
88	```
89
90	Windows:
91	```
92	pip install ta-lib
93	```
94	If that fails, download the appropriate .whl file from https://github.com/cgohlke/talib-build/releases and install with:
95	```bash
96	pip install TA_Lib-0.4.32-cp312-cp312-win_amd64.whl
97	```
98
99	### Step 4: Install Python Packages
100
101	Install all required packages (latest versions). `openstatz` replaces QuantStats for tearsheets - always install it, never `quantstats`:
102
103	```bash
104	pip install openalgo vectorbt plotly anywidget nbformat pandas numpy yfinance python-dotenv tqdm scipy numba nbformat ipywidgets openstatz ccxt duckdb psutil
105	```
106
107	If the user opted into TA-Lib in Step 3, append `ta-lib` to this install command (after the C library is installed).
108
109	### Step 5: Create Backtesting Folder
110
111	Create only the top-level backtesting directory. Strategy subfolders are created on-demand when a backtest script is generated (by the `/backtest` skill).
112
113	```bash
114	mkdir -p backtesting
115	```
116
117	Do NOT pre-create strategy subfolders.
118
119	### Step 6: Configure .env File
120
121	6a. Check if `.env.sample` exists at the project root. If it does, use it as a template.
122
123	6b. Ask the user which markets they will be backtesting using AskUserQuestion:
124	- Indian Markets (OpenAlgo) — requires OpenAlgo API key
125	- Indian Markets (DuckDB) — direct database loading, no API needed
126	- US Markets (yfinance) — no API key needed
127	- Crypto Markets (CCXT) — optional API key for private data
128
129	6c. If the user selected Indian Markets, ask for their OpenAlgo API key:
130	- Ask: "Enter your OpenAlgo API key (from the OpenAlgo dashboard):"
131	- If the user provides a key, store it in `.env`
132	- If the user skips, write a placeholder
133
134	6d. If the user selected Indian Markets (DuckDB), ask for the DuckDB database path:
135	- Ask: "Enter the path to your DuckDB database file (e.g., D:/data/market_data.duckdb):"
136	- Auto-detect format: If the database has a `market_data` table with `symbol, exchange, interval, timestamp` columns, it is OpenAlgo Historify format (store as `HISTORIFY_DB_PATH`). Otherwise store as `DUCKDB_PATH`.
137	- If the user also has OpenAlgo Historify, ask: "Is this an OpenAlgo Historify database? (y/n)"
138
139	6e. If the user selected Crypto Markets, ask if they want to configure exchange API keys:
140	- Ask: "Do you have exchange API keys for authenticated data? (Optional — public OHLCV data works without keys)"
141	- If yes, ask for

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6 picks

Type