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Where finance practitioners get started with Python for quant finance, algorithmic trading, and data analysis | Tweets & threads with free Python code & tools.
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5 pro tips for algorithmic traders armed with Python:
Myth: You need a computer science degree to get started with Python, NumPy, and pandas. Reality: You need these 9 YouTube videos:
Time series are made up of level, trend, seasonality, and noise. If your forecast is broken, it may be time to take a new approach. Decomposing time series into those parts can h...
The harsh truth about being a quant: You have to read a lot. The 4 books every aspiring quant needs on their bookshelf: https://t.co/Ko4uS8xj6M
Exotic options. They’re what makes derivatives traders truckloads of money. Reserved for only the richest institutional traders. The purview of Ph.D. quants. The good news?
On March 12, 121 people will join the March cohort of Getting Started With Python for Quant Finance. In 30 days they will be using Python to price options, backtest strategies, a...
Successful trading is not: • A top-secret strategy • Technical analysis • Complex math It’s much more simple: Making the right size bets. Here’s how you can get started:
20 Python libraries for market data everyone should know:
The recession. The news talks about it. Investors cry over it. And in the end, we’re the ones that lose money. But you can prepare. Here’s how:
I asked 91.3K people why they struggle getting started with Python: 556 people responded. Top 3: 1. Lost where to even start 2. Overwhelmed with information 3. Confused how to a...
Python, SQL, and Excel: Use them together and you have a potent combination for working with data. Here are the 17 Python libraries to help you unlock the power:
Quants spend a lot of time selling complex derivatives like barrier options to institutional clients. Unfortunately, people like you and me can’t trade them. But you can still us...