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@pyquantnews Avatar @pyquantnews PyQuant News 🐍

PyQuant News 🐍 posts on X about finance, stocks, realtime, nasdaq the most. They currently have XXXXXXX followers and XX posts still getting attention that total XXXXX engagements in the last XX hours.

Engagements: XXXXX #

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Mentions: XX #

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Followers: XXXXXXX #

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CreatorRank: XXXXXXX #

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Social Influence #

Social category influence finance XXXXX% stocks XXXX% exchanges XXXX% technology brands XXXX% social networks XXXX%

Social topic influence finance #1798, stocks 6.56%, realtime #798, nasdaq #763, arb 1.64%, sentiment 1.64%, $170k 1.64%, behind the 1.64%, goldman sachs 1.64%, the black XXXX%

Top accounts mentioned or mentioned by @alifortomorrow @alkem @andres_v_rey @wallstreetkin

Top assets mentioned Goldman Sachs (GS) Alphabet Inc Class A (GOOGL) Morgan Stanley (MS)

Top Social Posts #

Top posts by engagements in the last XX hours

"This guide literally walks you though a TSLA-gasoline arb trade:"
X Link @pyquantnews 2025-10-25T13:09Z 156.7K followers, 7059 engagements

"TradingAgents is a multi-agent trading framework that mirrors the dynamics of real-world trading firms. Fundamental analysis Sentiment experts Technical analysts Risk managers Traders Here's how it works:"
X Link @pyquantnews 2025-10-21T12:57Z 156.7K followers, 1071 engagements

"The math behind the Python Quant Stack: SciPy: $X Zipline: $X Python: $X NumPy: $X PyFolio: $X Pandas : $X OpenBB: $X Empyrical: $X AlphaLens: $X Statsmodels: $X RiskFolio-Lib: $X Top percentile quant jobs start at $170K. Use the same tools"
X Link @pyquantnews 2025-10-23T15:57Z 156.7K followers, 8337 engagements

"Steal this 8-step framework to take an algorithmic trading strategy from idea to execution"
X Link @pyquantnews 2025-10-24T15:54Z 156.7K followers, 12.7K engagements

"If you can't code in 2025 are you really a quant"
X Link @pyquantnews 2025-10-25T15:59Z 156.7K followers, 11.7K engagements

"Algorithmic trading is the domain of secretive hedge funds and banks. Python unlocked these secrets for everyone (even Goldman Sachs has an open-source tool). Use the same tools the professionals use. Here are XX Python libraries that open the black box:"
X Link @pyquantnews 2025-10-26T17:54Z 156.7K followers, 28.1K engagements

"FinancePy A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives including fixed-income equity FX and credit derivatives"
X Link @pyquantnews 2025-10-26T18:03Z 156.7K followers, XXX engagements

"gs-quant Python toolkit for quantitative finance"
X Link @pyquantnews 2025-10-26T18:04Z 156.7K followers, XXX engagements

"By reading this thread youll be able to: X. Get live options data X. Analyze volatility skew X. Analyze volatility structure X. Build an implied volatility surface But first a primer on implied volatility"
X Link @pyquantnews 2025-10-27T13:00Z 156.7K followers, XXX engagements

"If youre not familiar with implied volatility: Markets expectation of volatility Varies across strikes and expirations Where most quants and traders spend their time The input that sets model and market price equal Let's build a volatility surface"
X Link @pyquantnews 2025-10-27T13:01Z 156.7K followers, XXX engagements

"First import the libraries you need. yfinance gives you options data - including implied volatility. Nothing fancy required"
X Link @pyquantnews 2025-10-27T13:02Z 156.7K followers, XXX engagements

"Since the options are in a DataFrame plotting data is easy. Next you can see what the skew looks like"
X Link @pyquantnews 2025-10-27T13:05Z 156.7K followers, XXX engagements

"Youll notice two things: X. The data are messy X. Implied volatility varies by strike In particular it is lowest at the $XXX strike which is right around the stock price. This is known as volatility smile"
X Link @pyquantnews 2025-10-27T13:06Z 156.7K followers, XXX engagements

"Create a chart of the term structure by selecting a strike. Plotting is easy with pandas"
X Link @pyquantnews 2025-10-27T13:07Z 156.7K followers, XXX engagements

"Implied volatility decreases as the expiration dates get further out. The market expectation of volatility is lower in the future than it is today. Big economic news causes spikes in the term structure. Finally lets put the two charts together and look at the surface"
X Link @pyquantnews 2025-10-27T13:08Z 156.7K followers, XXX engagements

"Pivot the DataFrame to arrange strikes on the rows and expirations on the columns. Implied volatility will be in each cell. Use meshgrid to get the surface coordinates. Finally plot the surface with plot_surface. What do you get"
X Link @pyquantnews 2025-10-27T13:09Z 156.7K followers, XXX engagements

"An implied volatility surface You can see that volatility is much higher at the close expirations and higher strikes. Quants use this information to price exotic options and find market mispricings"
X Link @pyquantnews 2025-10-27T13:10Z 156.7K followers, XXX engagements

"Quants use implied volatity surfaces to: Calibrate pricing models Find market mispricings Price exotic derivatives You can build a volatility surface too: X. Get live options data X. Build skew and structure X. Plot the implied volatility surface All in Python"
X Link @pyquantnews 2025-10-27T13:11Z 156.7K followers, 2230 engagements

"On August X 2012 Knight Capital lost $440000000 in XX minutes. Before that it PRINTED money. Here's the mind blowing story of how it happened: Knight was an electronic trading firm that traded over 3300000000 shares daily comprising XX% of total volume on the New York Stock Exchange (NYSE). The rush for new business In October 2011 the NYSE proposed a private market called the RLP. The RLP would allow traders to transact large volumes of shares with each other. The RLP was approved in June 2012 with a go-live date of August X 2012. Knight rushed to update SMARS its trading system in"
X Link @pyquantnews 2025-10-30T12:59Z 156.7K followers, 5784 engagements

"Practical Python code to help you get started with quant finance algorithmic trading and market data analysis. Grab it all for free:"
X Link @pyquantnews 2025-10-30T18:06Z 156.7K followers, 2542 engagements

"Alpha Vantage Alpha Vantage delivers a free API for real-time financial data and most used finance indicators in a simple JSON or CSV format"
X Link @pyquantnews 2025-10-31T18:11Z 156.7K followers, 1155 engagements

"Nasdaq Data Link (formerly Quandl) Get millions of financial and economic datasets from hundreds of publishers directly into Python"
X Link @pyquantnews 2025-10-31T18:12Z 156.7K followers, 1044 engagements

"Twelve Data Access 100000+ symbols for stock forex index and fundamental data from global markets"
X Link @pyquantnews 2025-10-31T18:13Z 156.7K followers, 1000 engagements

"Polygon .io Real-time and historical data for stocks FX and crypto"
X Link @pyquantnews 2025-10-31T18:14Z 156.7K followers, XXX engagements

"vollib vollib is a Python library for calculating option prices implied volatility and greeks"
X Link @pyquantnews 2025-10-26T17:57Z 156.7K followers, 1316 engagements

"yfinance Data for stocks (historic intraday fundamental) FX crypto and options. Uses Yahoo Finance so any data available through Yahoo is available through yfinance"
X Link @pyquantnews 2025-10-31T18:08Z 156.7K followers, 1372 engagements

"IBApi The official API for Interactive Brokers provides access to all the data available through IB. Replaces IBPy"
X Link @pyquantnews 2025-10-31T18:10Z 156.7K followers, 1271 engagements

"Tiingo End-of-day stock price data API that emphasizesredundancytransparency andcompleteness"
X Link @pyquantnews 2025-10-31T18:19Z 156.7K followers, XXX engagements

"Here's what we covered: IBApi Tiingo Tradier Alpaca Finnhub yfinance Polygon .io marketstack Twelve Data Alpha Vantage Nasdaq Data Link pandas-datareader"
X Link @pyquantnews 2025-10-31T18:20Z 156.7K followers, 2172 engagements

"pandas-datareader pandas-datareader used to be part of the pandas project. Now an independent project. Includes data for stocks FX economic indicators Fama-French factors and many others"
X Link @pyquantnews 2025-10-31T18:09Z 156.7K followers, 1292 engagements

"A free 698-page PDF ebook with everything you need to know about math:"
X Link @pyquantnews 2025-10-22T15:52Z 156.7K followers, 76.8K engagements

"Options models are wrong. Implied volatility is not the same over the life of an option. Prove it with volatility surfaces. Here's how to do it in Python (step by step):"
X Link @pyquantnews 2025-10-27T12:59Z 156.7K followers, 14.5K engagements

"This website literally has XXX free Python tutorials for trading"
X Link @pyquantnews 2025-10-30T18:05Z 156.7K followers, 13.5K engagements

"Google and quant finance have one thing in common: TensorFlow. And you don't need to work at Google to use it. You can get it here free:"
X Link @pyquantnews 2025-10-31T15:54Z 156.7K followers, 6337 engagements

"Some market data costs $1400 per month. The oil that makes the world's financial markets operate. Unaffordable for XX% of us. A profit center for countless Wall Street firms. Fight back. Here are the XX Python libraries that give it to you free:"
X Link @pyquantnews 2025-10-31T18:07Z 156.7K followers, 21.1K engagements

"My master's degree completely failed to teach me Python for quant finance (they taught me MATLAB). And Octave (WTF) So I watched XXX YouTube videos. And the truth is XX% of them were a complete waste of time. But these X taught me more than all my PhD professors combined:"
X Link @pyquantnews 2025-11-01T17:58Z 156.7K followers, 18.3K engagements

"Algorithmic Trading Using Python (4.5 hours) Learn how to perform algorithmic trading using Python in this complete course. Algorithmic trading means using computers to make investment decisions"
X Link @pyquantnews 2025-11-01T17:59Z 156.7K followers, 2005 engagements

"Quantitative Stock Price Analysis with Python (25 minutes) We look at some quantitative analytical methods of stock price changes using Python and pandas"
X Link @pyquantnews 2025-11-01T18:00Z 156.7K followers, 1740 engagements

"How to Create & Test Trading Algorithm in Python (20 minutes) Learn how to download and manipulate data then develop a momentum strategy trading algorithm with Python"
X Link @pyquantnews 2025-11-01T18:01Z 156.7K followers, 1657 engagements

"Python for Quant Finance (50 minutes) The talk discusses and illustrates why Python might be the right choice for implementing ambitious quant finance applications and projects"
X Link @pyquantnews 2025-11-01T18:02Z 156.7K followers, 1474 engagements

"Get a step-by-step Python guide to build a statistical arbitrage trading strategy:"
X Link @pyquantnews 2025-11-02T13:56Z 156.7K followers, 8881 engagements

"Pairs trading traces back to the 1980s at Morgan Stanley when computer-driven statistical arbitrage began outperforming traditional trading approaches. You don't need to work at Morgan Stanley to trade pairs. Get the code:"
X Link @pyquantnews 2025-11-02T13:56Z 156.7K followers, 2565 engagements

"There has never been a better time to get started with Python. And in X months the same will be true. But in X months thousands of people will have passed you by. The future belongs to those that can leverage skills with Python"
X Link @pyquantnews 2025-11-02T16:57Z 156.7K followers, 6131 engagements