Quant Science
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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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):...
In 10 lines of Python code, I can do a full portfolio optimization. This is wild. Let me show how: https://t.co/511JRwqg2A
Python is wild for trading. Example: AutoTrader for automated trading systems. Let's dive in: https://t.co/Jh67vk74UO
The must-have machine learning technique for financial market data analysis: https://t.co/Q5zrVpXffK
Unpopular Opinion: Every investor should learn Python. Here's why 🧵 https://t.co/g01yaOkmr4
Risk management. What is it? (the 3 elements of risk management)🧵 https://t.co/gWqoA8JlnJ
Python is wild for finance. Let's take an example: riskfolio-lib A thread 🧵 https://t.co/JaR52BfTYK
Why Machine Learning in Finance? This is why. 🧵 https://t.co/ZX4mfwMLov
Can data scientists make good algorithmic traders? Let's find out: https://t.co/jovSd0O6L9
The Average True Range (ATR) is a technical analysis indicator used to measure market volatility. What can you do with ATR? 👉Find out in this free training: https://t.co/TcyzEtq...
Average True Range (ATR) is an essential technical indicator for volatility signals. In 3 minutes, I'll teach you what took 3 months to learn. Let's dive in. 🧵 #Quant #Tradin...
Filtering noise is the most challenging part of algorithmic trading. Here are our 10 best filtering strategies. Let's break each down. 🧵 #Quant #Science #Trading #Algorithms h...