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PyQuant News 🐍
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Turn $1 into $14,000,000.

(You could have if you invested with Jim Simmons in 1988.)

The most successful hedge fund ever, trading bots, and the 9 steps to build an automated trading system.

The 6 blog posts to read now:
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The Top 5 Algorithmic Trading Strategies You Should Know

The author covers momentum, mean reversion, sentiment, stat arb, and market-making strategies.

medium.com/@Skyllarx/the-…
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The Most Successful Hedge Fund Ever

Renaissance Technologies' main fund recorded performance of 66% per annum over a period of 30 years before fees - $1 invested in the fund in 1988 would now be worth in excess of $ 14 million.

wire.insiderfinance.io/the-most-succe…
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Build a Bot to Beat the Bear Market

When the markets are crashing, it becomes harder and harder to keep your emotions in check and stick to your plan. That’s you should take a systematic trading approach.

medium.com/raposa-technol…
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Grid Trading Bot Deployment and Automation

In this article, the author builds and deploys a grid trading bot using a Linode server.

medium.com/@craigmariani4…
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3 Ways to smooth the Price Waves (with Python)

When developing trading strategies it's helpful to reduce the noise in your price series. Learn how to do it with Python.

medium.com/@chris_42047/3…
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9 Simple Steps to Create an Automated Trading system

Here is a 9-step guide from the initial idea through to system activation.

medium.com/@foalefamily/9…
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That's a wrap!

β€’ Grid trading
β€’ Build a bear bot
β€’ Automated systems
β€’ Smooth price waves
β€’ Top 5 algo strategies
β€’ Most successful hedge fund
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Check out the 46-Page Ultimate Guide to Pricing Options and Implied Volatility With Python.

Here's why:

β€’ Compute Black-Scholes, the greeks and implied volatility
β€’ Includes a Jupyter Notebook with the code
β€’ How to use Python to analyze the results

pyquantnews.gumroad.com/l/46-page-ulti…
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PyQuant News writes about resources for using Python for quantitative and data analysis.

β€’ Reply to this thread with any questions
β€’ Follow me @pyquantnews for more of these
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