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Quant Science Profile picture
Quant Science
@quantscience_
Develop profitable trading strategies, build a systematic trading process, and trade your ideas with Python—even if you’ve never done it before.
17 subscribers
Mar 3 • 12 tweets • 4 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
Mar 2 • 12 tweets • 3 min read
Stop trading in Excel like it’s 2009.

Start using Python + ChatGPT.

Here's 7 small steps: Image 1. Pick ONE strategy rule (keep it boring)

Start with something simple like moving averages or a 12-1 momentum.

Your goal is execution and learning, not “printing money.”
Feb 28 • 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
Feb 26 • 16 tweets • 3 min read
Top 10 Algorithmic Trading Strategies (and how they work) 🧵 Image 1. Pairs Trading

Trades two correlated instruments simultaneously. It goes long on one asset and short on the other to profit from deviations from their historical relationship, expecting the correlation to eventually resume.
Feb 26 • 10 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
Feb 24 • 16 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.
Feb 23 • 9 tweets • 3 min read
🚨BREAKING: A new open-source multi-agent LLM trading framework in Python

It's called TradingAgents.

Here's what it does (and how to get it for FREE): 🧵 Image 1. What is TradingAgents

TradingAgents is a multi-agent trading framework that mirrors the dynamics of real-world hedge funds.
Feb 23 • 10 tweets • 3 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
Feb 22 • 18 tweets • 5 min read
12 Python libraries for free market data everyone should know: Image yfinance

Data for stocks (historic, intraday, fundamental), FX, crypto, and options. Uses Yahoo Finance so any data available through Yahoo is available through yfinance.

github.com/ranaroussi/yfi…
Feb 22 • 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…
Feb 19 • 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
Feb 17 • 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
Feb 12 • 17 tweets • 5 min read
No one made more money in trading than Jim Simons.

Not Buffett. Not Soros. Not Dalio.

His hedge fund was so powerful that he shut it down to outsiders.

$100 in 1988 grew to $400M in 30 years.

Here’s how a mathematician became the world’s greatest trader: Image Jim Simons was no ordinary investor.

Before conquering Wall Street, he was:

• A math professor at MIT and Harvard
• A Cold War code-breaker for the NSA
• A pioneer in quantum computing

But none of this satisfied him.

"Some people like to paint, others like to cook. I like to make money."Image
Feb 10 • 14 tweets • 4 min read
A strategy with a Sharpe of 0.94 (and 513.8% cumulative return): Image A strategy only Goldman Sachs can trade?

Nope.

It's a VIX-based futures strategy that demolishes the benchmark just like the pros.

Here's how:
Feb 6 • 10 tweets • 3 min read
How to make your own algorithmic trading system in Python (a complete roadmap): Image Step 1: Learn Python

- Pandas: Data Analysis
- Scikit Learn: Machine Learning
- SQLAlchemy: Databases
Feb 2 • 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.
Feb 1 • 11 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
Feb 1 • 17 tweets • 5 min read
12 Python libraries for free market data everyone should know: Image yfinance

Data for stocks (historic, intraday, fundamental), FX, crypto, and options. Uses Yahoo Finance so any data available through Yahoo is available through yfinance.

github.com/ranaroussi/yfi…
Jan 30 • 6 tweets • 3 min read
How to bootstrap your own mini hedge fund in 2026 (Learn these skills): Image Skills to begin with (ranked in order of importance):

1. Python
2. Pandas
3. Numpy
4. Plotly
5. Scikit Learn

This is your Python foundation.

Then learn these: 👇 Image
Jan 29 • 16 tweets • 3 min read
Top 10 Algorithmic Trading Strategies (and how they work) 🧵 Image 1. Pairs Trading

Trades two correlated instruments simultaneously. It goes long on one asset and short on the other to profit from deviations from their historical relationship, expecting the correlation to eventually resume.
Jan 28 • 10 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