ai-agent

Event-Driven-Stock-Prediction-using-Deep-Learning: Forecast market moves with AI

Designed for founders building fintech analytics, this Python library uses a neural tensor network and CNN to turn event data into stock price forecasts.

From the repo · “A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning event embedding, and using a deep convolutional neural network to model the combined influence of long-term events and short-term events on stock price movements”

207 stars97 forksPythonGuide quality 8/10 · reviewed Oct 12Updated 10/28/2019100% free · open source
What it does

This tool uses a deep learning method to predict stock prices based on event-driven market movements, allowing founders to make more informed investment decisions.

When to use it
  • •You need to analyze the impact of specific events on stock prices
  • •You want to develop a predictive model for stock market trends
  • •You are looking for a novel approach to event-driven stock price movement prediction
Ready-to-paste prompt
python predict.py --stock-symbol AAPL --event-type earnings
Heads up: This tool requires a significant amount of computational resources and memory, as well as a compatible version of TensorFlow (tested with version 2.4.1) and Python (tested with version 3.8.8)
Saves to your device
Use with Claude
New

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

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/event-driven-stock-prediction-using-deep-learning && curl -fsSL https://workflowstacks.com/api/skills/event-driven-stock-prediction-using-deep-learning/claude-skill -o ~/.claude/skills/event-driven-stock-prediction-using-deep-learning/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 Event-Driven-Stock-Prediction-using-Deep-Learning: Forecast market moves with AI works
Codeflow
Free to inspect

Event-Driven-Stock-Prediction-using-Deep-Learning: Forecast market moves with AI is a small Python project (~1.4k lines across 13 code files). Setup is light: small project — see the README for how to run it. Last commit 85 months ago, no license file, has a test suite.

Size
Small codebase
~1.4k lines · 13 code files · 11 min skim
Setup
Light setup
Small project — see the README for how to run it.
Runs on
Python
No API keys detected
Python 100%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
What's in each folder
input/Folder13 files
model/Data models & types4 files
READMEHas testsThin docsNo CINo licenseLast update 85 mo ago
Quick Actions
Details
Creator
vedic-partap
Language
Python
Category
ai-agent
Published
12/14/2017

Are you the creator of this tool? and earn 85% of every sale.

Show it off in your README:

Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/event-driven-stock-prediction-using-deep-learning.svg)](https://workflowstacks.com/skills/event-driven-stock-prediction-using-deep-learning?utm_source=github&utm_medium=badge)
🔥 Hot this week, in your inbox
Skills like this, every Monday.

The five fastest-growing open-source AI skills, ranked by GitHub star growth. One email a week, unsubscribe anytime.