ai-agent

Artificial-Intelligence-for-Trading: Boost Your Trading Algorithms

Name: Artificial-Intelligence-for-Trading: Boost Your Trading Algorithms
Author: udacity

A Jupyter notebook suite that teaches AI-driven trading concepts, perfect for founders building data‑centric fintech products.

From the repo · “Content for Udacity's AI in Trading NanoDegree.”

777 stars+1★ this week574 forksJupyter NotebookGuide quality 8/10 · reviewed Oct 12Updated 4/9/2023100% free · open source

What it does

This tool provides a set of Jupyter Notebooks and exercises to help users learn and apply artificial intelligence and machine learning concepts to trading and finance

When to use it

•When you want to learn how to use AI and ML to make informed trading decisions
•When you need to analyze and visualize large financial datasets
•When you want to backtest and evaluate trading strategies using historical data

Ready-to-paste prompt

Run the following cell in the '002_data_preprocessing' notebook: `data = pd.read_csv('stock_data.csv', index_col='Date', parse_dates=['Date'])` to load and preprocess historical stock data

Heads up: Make sure you have the required libraries installed, including 'pandas', 'numpy', and 'matplotlib', and that you have the necessary dependencies installed, such as 'backtrader', before running the notebooks

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

⚡ Runs out of the box

A prompt/skill package — nothing to install beyond adding it to your AI tool.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/artificial-intelligence-for-trading && curl -fsSL https://workflowstacks.com/api/skills/artificial-intelligence-for-trading/claude-skill -o ~/.claude/skills/artificial-intelligence-for-trading/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Artificial-Intelligence-for-Trading: Boost Your Trading Algorithms works

Codeflow

Free to inspect

Artificial-Intelligence-for-Trading: Boost Your Trading Algorithms is mostly documents (21 doc files, 58 small scripts) — something you read, not something you run. There is nothing to install. Last commit 43 months ago, no license file.

Size

Mostly documents

21 documents · 58 small scripts · 7 min skim

Setup

Nothing to install

A course / notebook collection. Read it; run cells if you like.

Runs on

Nowhere — you read it

A reading resource, not a program.

Jupyter Notebook 99%Python 1%

Where to start reading

1
README.md
Start here — what it does and how to install it

What's in each folder

quiz/m4_multifactor_models/Folder73 files

project/Folder39 files

quiz/m7/Folder28 files

quiz/m1_quant_basics/Folder21 files

quiz/m3_funds_etfs_portfolio_optimization/Folder17 files

quiz/m5_financial_statements/Folder17 files

quiz/m2_advanced_quants/Folder12 files

quiz/m8/Folder8 files

READMEDocumentedCI checksNo licenseLast update 43 mo ago

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

⚡ Runs out of the box

A prompt/skill package — nothing to install beyond adding it to your AI tool.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/artificial-intelligence-for-trading && curl -fsSL https://workflowstacks.com/api/skills/artificial-intelligence-for-trading/claude-skill -o ~/.claude/skills/artificial-intelligence-for-trading/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions

Details

Creator

udacity

Language

Jupyter Notebook