marketing

Hedge-Fund-stock-market-analysis: Smarter Trading

Analyze stock market data for better returns with Hedge-Fund-stock-market-analysis, a deep learning model for trading firms, built with Python.

From the repo · “Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutations to increase returns and reduce risk. Trained the model using a Multilayer Perceptron Neural Network on a vast set of features that influence the stock market indices. Performed technical analysis using historical stock prices and fundamental analysis using social media dat”

68 stars28 forksPythonGuide quality 8/10 · reviewed Jul 25Updated 6/30/2019100% free · open source
What it does

Analyzes large patterns of stock market data to identify possible permutations for increasing returns and reducing risk using a deep learning model

When to use it
  • •When a trading firm needs to make data-driven decisions to optimize their investment portfolio
  • •When analyzing historical stock prices and social media data to predict market trends
  • •When a founder wants to leverage machine learning to gain a competitive edge in the stock market
Ready-to-paste prompt
Run `python multilayer_perceptron.py --stock_SYMBOL=AAPL --start_date=2020-01-01 --end_date=2020-12-31` to analyze the stock market data for Apple (AAPL) between 2020-01-01 and 2020-12-31
Heads up: Ensure you have the necessary Python libraries installed, including `numpy`, `pandas`, and `sklearn`, and that your Python version is compatible with the project requirements, as specified in the `requirements.txt` file
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mkdir -p ~/.claude/skills/hedge-fund-stock-market-analysis && curl -fsSL https://workflowstacks.com/api/skills/hedge-fund-stock-market-analysis/claude-skill -o ~/.claude/skills/hedge-fund-stock-market-analysis/SKILL.md
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How Hedge-Fund-stock-market-analysis: Smarter Trading works
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Hedge-Fund-stock-market-analysis: Smarter Trading is a tiny Python project (~150 lines across 1 code files). Setup is light: small project — see the README for how to run it. Last commit 89 months ago, no license file, no tests found.

Size
Tiny codebase
~150 lines · 1 code files · 2 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
READMENo tests foundThin docsNo CINo licenseLast update 89 mo ago
Quick Actions
Details
Creator
arshpreet
Language
Python
Category
marketing
Published
12/2/2017

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