Python Programming
168 Threads
Black Monday: A stock market crash with worldwide loses of $1.71 trillion. Traditional simulation models do not include such crashes. But there is one. Hereβs how it works: htt...
Designing a Profitable Intraday Strategy Using Python and Alpaca We've just released a new article that provides the Python code used to backtest a profitable intraday model on SP...
Build an AI Investment Agent with GPT-4o in just 15 lines of Python Code (step-by-step instructions):
Build a multi-agent LLM app with GPT-4o in just 15 lines of Python Code (step-by-step instructions):
Build an AI Search Assistant with GPT-4o in just 15 lines of Python Code (step-by-step instructions):
FREE Google CERTIFICATION in Data Analysis: Enhance your skills and get a job. [Thread] https://t.co/Vjtk3jXVRM
OpenAI. OpenBB. LangChain. Cutting-edge sentiment analysis using generative pre-trained transformers. All in a few lines of Python. Here's the code:
The 7 best PyQuant News tweets of all time for quant finance, algo trading, and market data analysis (bookmark this thread):
Turn your pandas DataFrame into a Tableau dashboard. β’ Uses Jupyter Notebook β’ Tableau-like visualizations β’ Run right in Kaggle and Colab Tableau is $800+ per user. PyGWalker i...
if you know python, you don't need any LLMops. trust , i've training models and deployed production applications that serve at >350M requests a day. just need `pip install` and s...
Decorators are one of the most powerful feature of Python! π₯ However, understanding them can be a bit overwhelming! Today, I'll clearly explain how decorators work! Let's go! π...
Algorithmic Trading with Python: Quantitative Methods and Strategy Development Quant trading with: β’ NumPy β’ pandas β’ Scikit-learn Code included below: https://t.co/9w0vh25Z8b
Logistic Regression Implemented from scratch in Python π₯ Here is the step by step explanation with code. Threadπ§΅π https://t.co/d468PDLTP1
The most foundational time series analysis tool: Decomposition. Unfortunately, most people forget about it. So instead of spending months and months studying it, just use it. I...
Data Science using Python π§΅:
SABR: The implied volatility model every serious quant uses. Not a (serious) quant? Not a (serious) problem. Hereβs a quick walkthrough (with the Python code): https://t.co/BzS...
Do you want to create custom data apps in pure Python ? https://t.co/Ih9ewnniQj
Most algorithmic traders only focus on the trade signal. Then they wonder why they lose money. It's not the signal that's most important. It's the filter. Here are 9 of the mos...
#DataAnalyst Project on T20 World Cup 2022 using #Pythonππ₯³π It involves collecting & processing #data related to tournament, performing various analyses, & creating visualizations...
vectorbt Simulate 20,000,000 backtests in a few seconds: β’ Optimize order types β’ Optimize portfolio weights β’ Run walk-forward analyses It works like an extension of pandas....
I used to write messy ML training scripts... ... until I discovered these π― ππΆπ½π. Watch this free lecture π¬ and threadπ§΅β https://t.co/tOSjLJqIzz
Matplotlib subplots clearly explained! π Today, we understand: - Regular subplots - Subplot-mosaic π₯ Let's go! π https://t.co/a8LfMLq7wA
How to Analyse Data with Python 101:
Using your broker's API is a pain in the a**. But it's the most powerful way to trade: β’ Automate execution β’ Automate rebalancing β’ Automate position sizing If you're not conne...