Quant@Python @BeingHorizontal Twitter profile

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Quant@Python

24 days

I have begun a new series on backtesting with Python, starting with Market Profile stats 'cuz I found it interesting since a lot of traders think it's merely a discretionary tool. Soon, gonna explore a wide range of other backtesting subjects.

Backtesting With Python

Everything about backtest with minimum reliance on external libraries

www.youtube.com

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Quant@Python

@BeingHorizontal

4 years

Thread for beginners; How to learn machine learning.

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Quant@Python

@BeingHorizontal

3 years

Python entrapment 😂😂😂

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Quant@Python

@BeingHorizontal

4 years

Managed to code MarketProfile TPO charts in Python Matplotlib. It ain't much but it's honest work :)

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Quant@Python

@BeingHorizontal

4 years

Python for Data Science - Course for Beginners This Python data science course will take you from knowing nothing about Python to coding and analyzing data with Python using tools like Pandas, NumPy, and Matplotlib. (Time:12 hr 20m)

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Quant@Python

@BeingHorizontal

4 years

Here you go, a huge resource dump for quants. Complete List of Libraries, Packages and Resources for Quants. Covered almost all programming languages.

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Quant@Python

@BeingHorizontal

5 years

First 10 things I install on new Windows 10 0. Python (Analysis) 1. MultiCharts (Backtesting & visual) 2. Tight VNC (control remote trading comp) 3. Foobar (Songs) 4. Brave (Adfree chrome) 5. Conda 6. Evernote 7. Q-dir (Win explorer) 8. WinSCP (FTP client) 9. MindJet (Mind map)

John Papa

@John_Papa

5 years

First things I installed on my new MacBook Pro 16" 0. VS @code 1. @alfredapp (better spotlight) 2. bartender (organize) 3. divvy (window mgt with keyboard) 4. wifi signal (detailed) 5. @snagit (screen caps & animated gifs) 6. insomnia (http) 7. Amphetamine 8. Dropbox 9. Chrome

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Quant@Python

@BeingHorizontal

3 years

Finally took the plunge and published NSE F&O Bhavcopy summarizer on Github. A lot of moving objects there and impossible to explain everything so I just commented the code This is the code flow and sample diagram it will generate

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Quant@Python

@BeingHorizontal

3 years

Machine Learning for Trading Course Videos (Georgia Tech computer science) #resources

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Quant@Python

@BeingHorizontal

5 years

The Man Who Solved the Market - Gregory Zuckerman Excerpts, screenshots and my notes along with it #ForOwnReference

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Quant@Python

@BeingHorizontal

4 years

If you are looking for ideas to develop strategies or simply want to see the performance reports of various concepts here is a collection of various systems, all coded in python (Quant Connect API, to be precise) #reference #python

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Quant@Python

@BeingHorizontal

4 years

Investpy, a Python package to retrieve historical data from

GitHub - alvarobartt/investpy: Financial Data Extraction from Investing.com with Python

Financial Data Extraction from Investing.com with Python - alvarobartt/investpy

github.com

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Quant@Python

@BeingHorizontal

5 years

Market edge can be classified into 3 types Information edge: Data Analytical edge: Deep learning, statistics, charting, TA, FA etc Emotional edge: How you manage yourself under greed & fear, are your mechanical models suitable for your personality etc.

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Quant@Python

@BeingHorizontal

3 years

TradingView scraper in python. Check the readme file, I explained the process of websocket scraping as promised.

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Quant@Python

@BeingHorizontal

6 years

They are doing same for Bitcoin using futures, who wanna buy? :)

crk

@IndiTrades

6 years

US/West's suppression of gold prices thru Futures (to push fiat currencies) is helping China accumulate physical gold cheaply. thnx2 @SharKKrishna

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Quant@Python

@BeingHorizontal

3 years

This is some freaky sh*t Someone had an OpenAI beta chatbot access and this is the conversation.

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Quant@Python

@BeingHorizontal

6 years

Market Profile Trading Journal Template.

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Quant@Python

@BeingHorizontal

5 years

Moving Average crossover system is 'Hello World' of algo trading.

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Quant@Python

@BeingHorizontal

4 years

If you prefer to learn through video tutorials then this is the best youtube channel to learn Python. Corey has a knack for explaining things in a simple way which doesn't feel like someone just reading the documentation.

Corey Schafer

Welcome to my Channel. This channel is focused on creating tutorials and walkthroughs for software developers, programmers, and engineers. We cover topics for all different skill levels, so whether...

www.youtube.com

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Quant@Python

@BeingHorizontal

3 years

Python notebook on how to quickly run an idea and do basic backtest without any backtesting library Here the idea is to check the profitability of BTFD system If close < 20% of day's range then buy at close Sell at next day's close

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Quant@Python

@BeingHorizontal

6 years

Best use of Market Profile is to get what market participants are trying to tell us instead of solely focusing on the price. Here we use the #MarketPprofile to determine which strategy to execute, momentum or mean reversion? #Xpost

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Quant@Python

@BeingHorizontal

5 years

Walk of shame 🤣

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Quant@Python

@BeingHorizontal

3 years

Just wrote a simple python script to alert when the internet is down and then alert us back when reconnects.

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Quant@Python

@BeingHorizontal

5 years

This thread feels like a crash course in Python algo trading for latency insensitive strategies. Mostly he explained his tech stack intuitively, full marks for that

Python Development Environment / Jack's Technology Stack

Intro I thought I'd share my technology stack for strategy and algo development. My primary language is Python. Despite some uninformed beliefs that Python is too slow for algo trading, and that...

fxgears.com

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Quant@Python

@BeingHorizontal

4 years

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

GitHub - beinghorizontal/awesome-quant: A curated list of insanely awesome libraries, packages and...

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance) - beinghorizontal/awesome-quant

github.com

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Quant@Python

@BeingHorizontal

5 years

The best systematic trading setup consists of a computer, a man and a dog. The computer runs a fully automated strategy, the man feeds the dog, and the dog bites the man if he touches the computer.

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Quant@Python

@BeingHorizontal

4 years

Making your own backtester is probably a lot easier than learning an existing backtesting framework in Python.

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Quant@Python

@BeingHorizontal

5 years

Trade for living? Have a backup plan for these things. Backup PC Backup data storage (offline) Backup Internet provider Backup power supply Backup phone line Backup broker (cant stress enough) Backup trading desk Painkillers if everything fails.

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Quant@Python

@BeingHorizontal

6 years

Designing neural network is a nerve racking procedure :)

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Quant@Python

@BeingHorizontal

6 years

A common misconception about the algo trading is that u write some code & ur algo will make u super-rich while u sniff cocaine in your personal yacht. Most of the successful algo traders were discretionary traders first, understood the market dynamics & then started mechanically

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Quant@Python

@BeingHorizontal

5 years

This article provides a starting point to explore basic algorithmic trading within 100 lines of Python code. All the steps are illustrated, like retrieving data, backtesting a momentum strategy, and automating it.

Algorithmic trading in less than 100 lines of Python code

If you're familiar with financial trading and know Python, you can get started with basic algorithmic trading in no time.

www.oreilly.com

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Quant@Python

@BeingHorizontal

3 years

Reel vs Real hacker 😂

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Quant@Python

@BeingHorizontal

4 years

Someone mentioned that his strategy has 300% annual returns but the maximum drawdown is 115%. LOL At 100% max drawdown your investment is literally worthless, how the system traded with no capital? 😂

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Quant@Python

@BeingHorizontal

3 years

Trading is life 😂😂😂

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Quant@Python

@BeingHorizontal

4 years

I just published Thread for beginners; How to learn machine learning.

Thread for beginners; How to learn machine learning.

Every idea needs a Medium

link.medium.com

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Quant@Python

@BeingHorizontal

6 years

[Python] A library to calculate Market Profile (Volume Profile) from Numpy and Pandas DataFrame. (thanks @alkd1976 for bringing this up to our attention)

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Quant@Python

@BeingHorizontal

5 years

A python blog with scripts and how-tos for performing various financial analysis tasks.

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Quant@Python

@BeingHorizontal

6 years

Market Profile Value Area Calculations With Nifty Future. This is based on bfolkens code Changed the original example code as google finance API is not working. Also, made a few changes. Details with code in the post

Market Profile Value Area Calculations With Nifty Future As An Example

This is based on bfolkens code https://github.com/bfolkens/py-market-profile

medium.com

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Quant@Python

@BeingHorizontal

4 years

Anyone is looking for some sample rule-based strategies to hone their programming skills or to understand strategy templates then this is the oldest and great resource (click 'Traders TIP'S link)

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Quant@Python

@BeingHorizontal

4 years

Learning "all of python" is like speaking "all of English". Pick up enough to know how to ask where the toilet is :)

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Quant@Python

@BeingHorizontal

4 years

Python is just made for data scraping. Learn requests and beautifulsoup, it wont take more than a day but its worth it rather than depend on data scraping libraries that use these tools. Websites often change & break scraping libraries start with this link

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Quant@Python

@BeingHorizontal

6 years

80% rule in Market Profile with some caveats

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Quant@Python

@BeingHorizontal

4 years

Start with a Python library called pandas. It’s a huge library but it's mostly fun for traders because it's kind of rewarding to learn each function and how it gonna affect the way you handle the financial data.

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Quant@Python

@BeingHorizontal

3 years

One-stop link to all your python related resources including ebook links, websites, youtube channels

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Quant@Python

@BeingHorizontal

4 years

Before and during the Corona outbreak.

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Quant@Python

@BeingHorizontal

5 years

Books on Quant finance along with some entertainment (and less or no theory) Fortune's Formula The Physics of Wall Street Flash Boys The Quants When Genius Failed Dark Pools

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Quant@Python

@BeingHorizontal

4 years

This is the most beginner-friendly book on evaluating trading strategies. All the basics concepts about backtesting parameters covered with easy to follow examples.

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Quant@Python

@BeingHorizontal

5 years

I just published Bot Primer, part 1: Initial Balance

Bot Primer, part 1: Initial Balance

Every idea needs a Medium

link.medium.com

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Quant@Python

@BeingHorizontal

4 years

It's always a free market until the wrong people start making money

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Quant@Python

@BeingHorizontal

3 years

Hey! Are you a programmer? Yes *waiting for "can you fix this?* Can you make predictive AI for my stocks? #NewNormal

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Quant@Python

@BeingHorizontal

5 years

A typical profile 🤣

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Quant@Python

@BeingHorizontal

3 years

This is why math should be fun and not braid dead memorization exercise

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Quant@Python

@BeingHorizontal

6 years

I just published Value area and the context, a system based approach

Value area and the context, a system based approach

Although I’ll try my best to cover some basics as quickly as possible, mostly this is going to be self-talk rather than a walk-through…

link.medium.com

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Quant@Python

@BeingHorizontal

3 years

Interesting method to use Volume Profile in Python. Especially really liked the way he solved the volume node function. Few ideas in this article are worth implementing.

How to Analyze Volume Profiles With Python

Using volume profiles for algorithmic trading

medium.com

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Quant@Python

@BeingHorizontal

3 years

Not all heroes wear capes

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Quant@Python

@BeingHorizontal

3 years

My man 😂😂😂

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Quant@Python

@BeingHorizontal

4 years

Displaying market profile features for each day on top of TPO chart was something really important for me, now we can do that with Pandas dataframe. I tried to include Machine Learning predictions too in the table but it slowed down the whole process & increased dependency

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Quant@Python

@BeingHorizontal

5 years

Momentum Strategy from "Stocks on the Move" in Python

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Quant@Python

@BeingHorizontal

6 years

Someone start sledging Kohli please he is not pumped enough #AUSvIND

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Quant@Python

@BeingHorizontal

4 years

Don't fear a man who lost his entire capital in the markets. Fear a man who is making +100% every month

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Quant@Python

@BeingHorizontal

4 years

There is nothing worse than people laughing at someone for learning/trying out a new skill. Especially languages (programming or spoken)

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Quant@Python

@BeingHorizontal

4 years

Algo trading has become such a low entry barrier business. To make a profitable algo you have to bring something new to the table- an edge. In Machine Learning, 1minute univariate price data won't cut it. ML isn't a magic machine that you put the trash in and gold will come out

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Quant@Python

@BeingHorizontal

6 years

Make a sitcom on Pant-Paine. LOL This is getting better

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Quant@Python

@BeingHorizontal

3 years

The world of Machine Learning papers

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Quant@Python

@BeingHorizontal

3 years

Cancel subscription like a pro 😂😂😂

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Quant@Python

@BeingHorizontal

4 years

This is the best example of survivorship bias

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Quant@Python

@BeingHorizontal

3 years

@GabbbarSingh small (OCD) correction 2019 - 0 mask 2020 - 1 mask 2021 - 2 mask Array starts from 0

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Quant@Python

@BeingHorizontal

3 years

Which Python library you use to calculate implied volatility? Mine is Mibian

mibian

Options Pricing Library

pypi.org

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Quant@Python

@BeingHorizontal

4 years

Robinhood traders be like:

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Quant@Python

@BeingHorizontal

4 years

Python 3 in one pic for high-resolution:

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Quant@Python

@BeingHorizontal

6 years

Market profile nuances #Xpost

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Quant@Python

@BeingHorizontal

6 years

Market profile Open Types #xpost

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Quant@Python

@BeingHorizontal

4 years

Slither Into Python: An Introduction to Python for Beginners This book is free to read online, no programming background is needed. The author explained basic concepts such as memory or "how computers work".

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Quant@Python

@BeingHorizontal

5 years

From The Man Who Solved the Market, this is so far the biggest revelation for me. My expectations about this book were Simons life outside the financial markets but this book is more about Medallion fund rather than Simons ( will post in detail after finishing the book)

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Quant@Python

@BeingHorizontal

4 years

Mentioned this book before, highly recommended for those who don't know anything about machine learning or even Python. If you're curious about WTF ML is then read the first part of the book

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Quant@Python

@BeingHorizontal

4 years

This meme is literally growing like my to-do projects 🤣

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Quant@Python

@BeingHorizontal

6 years

Traders will be traders 🤣

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Quant@Python

@BeingHorizontal

4 years

Then learn some basic stuff about Python library called NumPy. Pandas is built on NumPy. Numpy is huge, you just need to understand some basic NumPy functions like NumPy shapes and NumPy arrays

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Quant@Python

@BeingHorizontal

4 years

"If you are depressed you are living in the past. If you are anxious you are living in the future. If you are at peace you are living in the present." Lao Tzu

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Quant@Python

@BeingHorizontal

6 years

For Market Profile glossary bookmark this page And for some basic MP concepts check this thread by me (note that its a very old thread (2009) & I'm not active there, but it covers most of the MP basics)

Divine

@SXAMARITON

6 years

@BeingHorizontal Regarding market profile.. I have no knowledge about it.. can u share some information for novices..

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Quant@Python

@BeingHorizontal

4 years

There is no comedy show that comes closest to the Senate hearing on technology-related matters, be it crypto or social media. Senate to Zuckerberg: Why you censored Trump jr.? Zuckerberg: Hard to say because that happened on Twitter 🤣

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Quant@Python

@BeingHorizontal

4 years

An-Introduction-to-Statistical-Learning. A useful book in itself but examples are in R so he solved all the examples in Python

GitHub - hardikkamboj/An-Introduction-to-Statistical-Learning: This repository contains the...

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python. - hardikkamboj/An-Introduction-to-Statistical-Learning

github.com

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Quant@Python

@BeingHorizontal

4 years

TPO_project updated to the newer version (see the readme)

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Quant@Python

@BeingHorizontal

4 years

Don't let someone tell you what works in the market and what doesn't. If someone says something doesn't work then interpret it as it didn't work for them.

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Quant@Python

@BeingHorizontal

6 years

Put buyers

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Quant@Python

@BeingHorizontal

5 years

This one is going to be an interesting read.

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Quant@Python

@BeingHorizontal

3 years

A Beginner’s Guide to Optimizing Pandas Code for Speed (without any external libraries)

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Quant@Python

@BeingHorizontal

4 years

This book explains some important ideas in Machine Learning in a statistical framework without going too much into theory. The Elements of Statistical Learning - Data Mining, Inference and Prediction - 2nd Edition (pdf)

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Quant@Python

@BeingHorizontal

6 years

Instead of any book, go through these traderlabaratory sticky threads on Volume Spread Analysis. There are some practical applications with examples, some interesting discussions, and doubts.

Volume Spread Analysis

Dedicated for VSA method and trading.

www.traderslaboratory.com

TechnoFundaTrader

@Robotrader247

6 years

@BeingHorizontal hi, can you suggest good book or source to learn VSA,( i have your old sheet with me.)

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Quant@Python

@BeingHorizontal

4 years

Machine Learning for Asset Managers by Marcos de Prado (free download until May)

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Quant@Python

@BeingHorizontal

4 years

If you are looking for ways to connect Python with your favorite trading s/w like NinjaTrader or Multicharts then check this free tool called SharedVar Server In fact, it can connect w/ every client app which can communicate with DLL files

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Quant@Python

@BeingHorizontal

5 years

Posted the third part of the Bot @StoictraderB series. Finally. LOL! The article may seem extremely patchy as I wrote whenever time permits.

Bot Primer, Part 3: Index Options

In this part, we are going to cover index options.

medium.com

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Quant@Python

@BeingHorizontal

6 years

Seeing Theory. A visual introduction to probability and statistics

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Quant@Python

@BeingHorizontal

4 years

Correlation matrix of various market profile features Underscore means minus. eg. cVAH_cPOC = composite value area high minus composite point of control. Composite period = 5 days scrip: Nifty F period: since 2008

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Quant@Python

@BeingHorizontal

4 years

Best Way To Start Learning Python – A Complete Roadmap. It's not a big read as title suggests. Basically it covers what kind of resources are available, topics to concentrate etc

Best Way To Start Learning Python - A Complete Roadmap - GeeksforGeeks

A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interv...

www.geeksforgeeks.org

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Quant@Python

@BeingHorizontal

6 years

I just published Initial Balance With Machine Learning: Random Forest-Part 2

Initial Balance With Machine Learning: Random Forest-Part 2

This is a continuation of the previous post. Initial Balance Studies -I based on rule-based approach…

link.medium.com

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Quant@Python

@BeingHorizontal

4 years

Someone built a poor man's Bloomberg Terminal in python: Gamestonk Terminal The name may sound funny but it's quite an effort

GitHub - DidierRLopes/GamestonkTerminal

Contribute to DidierRLopes/GamestonkTerminal development by creating an account on GitHub.

github.com

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Quant@Python

@BeingHorizontal

6 years

Vollib, a Python library to calculate option greeks. it is faster than Mibian. Vollib is built around Peter Jäckel's LetsBeRational, an extremely fast and accurate technique for obtaining Black's implied volatility.

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Quant@Python

@BeingHorizontal

4 years

The source code of Windows troubleshooting program

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Quant@Python

@BeingHorizontal

4 years

Now imagine 2 programmers in the gym discussing how their models train 🤣

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