Develop profitable trading strategies, build a systematic trading process, and trade your ideas with Python—even if you’ve never done it before.
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Jul 25 • 7 tweets • 3 min read
🚨 Introducing Goldman Sachs GS-Quant
A Python quant toolkit made by Goldman Sachs.
This is what you need to know: (a thread 🧵) 1. GS Quant:
GS Quant is a Python toolkit for quantitative finance, created on top of one of the world’s most powerful risk transfer platforms.
Jul 25 • 9 tweets • 3 min read
🚨BREAKING: A new Python library for algorithmic trading.
Introducing TensorTrade: An open-source Python framework for trading using Reinforcement Learning (AI)
TensorTrade is an open source Python framework for building, training, evaluating, and deploying robust trading algorithms using reinforcement learning leveraging:
- numpy
- pandas
- gym
- keras
- tensorflow
Jul 24 • 11 tweets • 3 min read
🚨 BREAKING: I just stumbled upon this Machine Learning Python library for Algorithmic Trading that looks insane.
It's called AlphaPy.
This is what it does:
AlphaPy is a machine learning framework for both speculators and data scientists.
It is written in Python with the scikit-learn and pandas libraries, as well as many other helpful libraries for feature engineering and visualization.
Here's some of what it does:
Jul 19 • 10 tweets • 3 min read
FinViz: A financial Visualization and Screening Tool
Available in Python.
This is how:
Meet finvizfinance:
A Python package that collects financial information from the FinViz website.
12 Python libraries for free market data everyone should know:
yfinance
Data for stocks (historic, intraday, fundamental), FX, crypto, and options. Uses Yahoo Finance so any data available through Yahoo is available through yfinance.
Stock Prediction AI: Using Machine Learning and Deep Learning to predict stock price movements in Python.
The Python code is 100% free on GitHub.
Let's dive in (bookmark this): 1. The Python Machine Learning and Deep Learning Libraries:
- mxnet
- gluon
- sklearn
- xgboost
Jul 12 • 10 tweets • 3 min read
🚨BREAKING: A new Python library for algorithmic trading.
Introducing TensorTrade: An open-source Python framework for trading using Reinforcement Learning (AI)
TensorTrade is an open source Python framework for building, training, evaluating, and deploying robust trading algorithms using reinforcement learning leveraging:
- numpy
- pandas
- gym
- keras
- tensorflow
Jul 11 • 9 tweets • 2 min read
In investing, your track record is everything.
In 2 minutes, I'll uncover the secrets hedge funds use to track their portfolio performance: 🧵
There are 3 main areas that smart investors care about:
1. Profits (Returns) 2. Risks 3. Drawdowns
Let's break them down using the snapshot:
Jul 10 • 10 tweets • 3 min read
How to create a Black-Litterman portfolio in Python.
A thread: 🧵 1. What is Black-Litterman?
Black-Litterman starts with market equilibrium returns (from CAPM) and lets you add your views (e.g., “Tesla will outperform”).
It balances both to create optimal weights. No overfitting, just math.
Jul 6 • 10 tweets • 3 min read
This guy made a real-world AI Hedge Fund Team in Python.
Then he made it available for everyone for free.
Here's how he did it (and how you can too).
@virattt is doing something incredible.