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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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Nov 3 12 tweets 4 min read
Automate your trading strategies in Python

How to build your first trading bot:

(a thread) Image 1. What is a trading bot?

A trading bot is a software program that automates buying and selling financial assets like stocks and cryptocurrencies based on pre-defined strategies and rules.

These automated systems can manage portfolios without human intervention, operating 24/7.
Nov 3 17 tweets 3 min read
How to create your own "mini" hedge fund with algorithmic trading and Python

A thread 🧵 Image 1. What is a Hedge Fund

Hedge funds pool money from wealthy individuals or institutions to seek higher, risk-adjusted returns across multiple markets.
Nov 2 7 tweets 3 min read
🚨 BREAKING: A new 33-page PDF demystifying how hedge funds create bias-free signals

This is what you need to know (Number 2 is the most important finding): 🧵 Image 1. Signal Sensitivity to Returns

- MOM
- SMA
- EMA
- SMA Crossover
- EMA Crossover
- MACD Image
Nov 2 8 tweets 3 min read
🚨BREAKING: Microsoft open-sourced an AI Quant investment platform in Python

This is what you need to know:

(a thread) Image 1. What is Qlib?

Qlib is an open-source, AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing production. Image
Oct 25 8 tweets 3 min read
A 23-page research paper reveals the number 1 method Hedge Funds use to beat the market:

Time Series Momentum

This is how: 🧵 Image 1. What Is Time Series Momentum?

Time Series Momentum (TSMOM) bets on trends continuing. If a stock’s up, buy more; if down, sell. A 2011 study of 58 assets proved it works! Image
Oct 22 17 tweets 3 min read
12 books on algorithmic trading (that every algorithmic trader should know):

Here's a primer: Image 1. Algorithmic Trading and Quantitative Strategies (Velu, Hardy, Nehren):

Practical playbook linking market microstructure to alpha design, execution, and risk with data-driven methods.
Oct 21 11 tweets 3 min read
343+ Quant and Algorithmic Trading Projects in Python

This is how to get your hands on them for free.

(a thread) Image 1. If you're into quantitative finance, check out this insane collection of libraries, packages, and resources.

Covers Python, R, Matlab, Julia, and more—perfect for data gathering, trading, backtesting, and beyond.
Oct 20 17 tweets 3 min read
How to create your own "mini" hedge fund with algorithmic trading and Python

A thread 🧵 Image 1. What is a Hedge Fund

Hedge funds pool money from wealthy individuals or institutions to seek higher, risk-adjusted returns across multiple markets.
Oct 20 6 tweets 2 min read
4 lines of Python code is what it takes to have your own financial advisor.

Fully open source (this is how): Image 2 API keys are needed:

1. OpenAI for the LLM in use
2. OpenBB for access to dozens of different data vendors

Code fully available here: github.com/OpenBB-finance…
Oct 15 12 tweets 4 min read
Automate your trading strategies in Python

How to build your first trading bot:

(a thread) Image 1. What is a trading bot?

A trading bot is a software program that automates buying and selling financial assets like stocks and cryptocurrencies based on pre-defined strategies and rules.

These automated systems can manage portfolios without human intervention, operating 24/7.
Oct 12 11 tweets 4 min read
🚨BREAKING: A new Python library for algorithmic trading.

Introducing TensorTrade: An open-source Python framework for trading using Reinforcement Learning (AI) Image 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
Oct 8 10 tweets 4 min read
How to make a simple algorithmic trading strategy with a 472% return using Python.

A thread. 🧵 Image This strategy takes advantage of "flow effects", which is how certain points in time influence the value of an asset.

This strategy uses a simple temporal shift to determine when trades should exit relative to their entry for monthly boundary conditions. Image
Oct 7 9 tweets 3 min read
A 23-page research paper reveals the number 1 method Hedge Funds use to beat the market:

Time Series Momentum

This is how: 🧵 Image 1. What Is Time Series Momentum?

Time Series Momentum (TSMOM) bets on trends continuing. If a stock’s up, buy more; if down, sell. A 2011 study of 58 assets proved it works! Image
Oct 7 11 tweets 4 min read
Build an End-to-End Python Algorithmic Trading System (complete roadmap + skills + tools)

Bookmark this. Image 1) Foundations (1–2 weeks)

Learn these:

1. Python basics → data/ML
2. Pandas (data wrangling)
3. Scikit-learn (ML)
4. SQLAlchemy (DB access) Image
Oct 1 9 tweets 3 min read
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): Image 1. The Python Machine Learning and Deep Learning Libraries:

- mxnet
- gluon
- sklearn
- xgboost Image
Sep 30 4 tweets 2 min read
Things you don’t need to start quant trading:

• Complex algorithms
• PhD in math
• $10,000,000

Things you do need to start quant trading:

• A $500 laptop
• Interactive Brokers
• Python

Want to learn how? Image 🚨 LIVE Python Algo Trading Workshop: Learn how we built our hedge fund

• QSConnect: Build your quant research database
• QSResearch: Research and run machine learning strategies
• Omega: Automate trade execution with Python

👉 Get the system: learn.quantscience.io/become-a-pro-q…Image
Sep 30 5 tweets 2 min read
OpenBB: A free alternative to the $20,000 Bloomberg Terminal

Available 100% free on GitHub: Image Get OpenBB on Github here: github.com/OpenBB-finance…Image
Sep 29 5 tweets 2 min read
Using Mathematics to Make Money by legend Jim Simons.

8 page PDF free for download: Image The main ingredients of RenTec's success:

• Building and continuously improving investment models
• Fostering collaboration among the company’s workforce
• Hiring scientists who have decided they want to make money

Here's the link:

papers.ssrn.com/sol3/papers.cf…
Sep 27 9 tweets 3 min read
Python is wild for finance.

You can get FinViz in Python for free (this is how):

(a thread) Image 1. What is finvizfinance?

finvizfinance is a package that collects financial information from FinViz website. It has:

- Stock charts, fundamental & technical information
- Insider information
- Stock news
- Forex charts
- Crypto charts

Here's some examples of what you can do: Image
Sep 26 8 tweets 3 min read
🚨BREAKING: Microsoft open-sourced an AI Quant investment platform in Python

This is what you need to know:

(a thread) Image 1. What is Qlib?

Qlib is an open-source, AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing production. Image
Sep 25 10 tweets 4 min read
99% of beginners struggle with learning algorithmic trading.

Let's fix that.

Here's a free 6-step roadmap to learning algo trading: (thread) Image Step 1: Understand Quant Trading Basics (1 week)

Learn what makes quant trading tick: systematic, data-driven strategies.

Read QuantStart's intro:

Key concepts: Data, backtesting, risk management, execution.quantstart.com/articles/Begin…