Happy 2⃣0⃣2⃣1⃣ to all.🎇

For any Learning machines out there, here are a list of my fav online investing resources. Feel free to add yours.

Let's dive in.
⬇️⬇️⬇️

Investing Services

✔️ @themotleyfool - @TMFStockAdvisor & @TMFRuleBreakers services

✔️ @7investing

✔️ @investing_city
https://t.co/9aUK1Tclw4

✔️ @MorningstarInc Premium

✔️ @SeekingAlpha Marketplaces (Check your area of interest, Free trials, Quality, track record...)
General Finance/Investing

✔️ @morganhousel
https://t.co/f1joTRaG55

✔️ @dollarsanddata
https://t.co/Mj1owkzRc8

✔️ @awealthofcs
https://t.co/y81KHfh8cn

✔️ @iancassel
https://t.co/KEMTBHa8Qk

✔️ @InvestorAmnesia
https://t.co/zFL3H2dk6s

✔️ @mastersinvest
https://t.co/2XxBzxxrYb
Tech focused

✔️ @stratechery
https://t.co/VsNwRStY9C

✔️ @bgurley
https://t.co/NKXGtaB6HQ

✔️ @CBinsights
https://t.co/H77hNp2X5R

✔️ @benedictevans
https://t.co/nyOlasCY1o

✔️ @ARKInvest
https://t.co/VwZuh8aYNw
Tech Deep dives

✔️ @StackInvesting
https://t.co/WQ1yBYzT2m

✔️ @hhhypergrowth
https://t.co/kcLKITRLz1

✔️ @Beth_Kindig
https://t.co/CjhLRdP7Rh

✔️ @SeifelCapital
https://t.co/CXXG5PY0xX

✔️ @borrowed_ideas
https://t.co/yswPHiLeia
Investing Concepts

✔️ @IntrinsicInv
https://t.co/lQOBSNv1Nh

✔️ @JohnHuber72
https://t.co/QslJlfCejm

✔️ Gary Mishuris
https://t.co/9CqfJDNJix

✔️ @GavinSBaker
https://t.co/WTCpxNXvfW

✔️ @NovelInvestor
https://t.co/Wd3E3HxT4D

✔️ @10kdiver
https://t.co/5vjYRdinWV
Investing (Stock Ideas) Articles

✔️ @themotleyfool
https://t.co/4IuGintjK6

✔️ @CatanaCapital
https://t.co/QvNIwRFIZm

✔️ The Good Investors - Singapore
https://t.co/n2sUNyI5MM

✔️ New Academy of Finance
https://t.co/2X8y4jaUDa
Seeking Alpha (most articles open for subscribers only).

✔️ @FromValue
https://t.co/lBCoTv9Pyf

✔️ @andrescardenal
https://t.co/1iDCN57C5p

✔️ Integrator
https://t.co/rdmpWNFnMs

✔️ @EconomyApp
https://t.co/daJxFnp3ie

✔️ Bert Hochfeld
https://t.co/zh6nxNsafF
Substacks

✔️ @BrianFeroldi
https://t.co/u89relRji3

✔️ @richard_chu97
https://t.co/T0cXm0fXbd

✔️ @jaminball
https://t.co/e6nNnOJf3K

✔️ @adventuresinfi
https://t.co/v5fs3jFKmF

✔️ @JonahLupton
https://t.co/uKgYhwDFUe

✔️ @GetBenchmarkCo
https://t.co/HTybVNu5tX

cont...
✔️ @mrjivraj
https://t.co/TWNuSVdy4H

✔️ @chitchatmoney
https://t.co/tPyfYXPdPT

✔️ @reshoftc
https://t.co/L4fwdFfpoQ

✔️ @StockNovice
https://t.co/UXk4nbRH0D

✔️ @InvestmentTalkk
https://t.co/mM2f1rZNLx

✔️ @MazwoodCap
https://t.co/nJkHFVSrtq

✔️ @packyM
https://t.co/ezXi2S7IEm
Very resourceful folks from their work on/off Twitter👏

@DavidGFool @TMFJMo @TMFStoffel @danielsparks @dannyvena @aaronbush100

@saxena_puru @dmuthuk @Gautam__Baid @dhaval_kotecha @SagaPartners @FocusedCompound @LiviamCapital @bluff_capital @Post_Market @BluegrassCap
Podcasts 🎙️ ⬇️

https://t.co/bkLk58VBy1
Of course it's impossible to read every update on so many different websites/blogs, but checking out some of these every week and then rotating your reading/listening should make you a more balanced and well-informed investor.

A big Thank you🙏 to all those authors.
Overall, this is a golden time (and only improving) for quality online resources for learning Investing (or any other topic for that matter).

All one needs to do is explore, select, filter and then focus.

Good Luck. 👍

More from Ram Bhupatiraju

Phenomenal book summaries of "The Best Investment Books Ever". h/t @Investbythebook 👏👏

cc: @dmuthuk @Gautam__Baid

I would add
@chriswmayer's 100 Baggers,
@Gautam__Baid's The Joys of Compounding and @morganhousel's The Psychology of Money
and this list would be near perfect.


Few of my favs from the list

✅Classics

✔️Common Stocks Uncommon Profits by Philip Fisher
https://t.co/E937mMZ5gH

✔️One Up On Wall Street by Peter Lynch
https://t.co/KwFObdEDvX

✔️The Intelligent Investor by Benjamin

✔️The Most Important Thing by Howard Marks
https://t.co/NSMlErGnxM

✔️The Essays of Warren Buffett by Lawrence Cunningham
https://t.co/IAdVxIn54d

✔️Poor Charlies Almanack by Charlie Munger
https://t.co/NPIXqociQQ

✔️Margin of Safety by Seth

✅Psychology

✔️Reminiscences of a Stock Operator by Edwin Lefèvre
https://t.co/RxOo45NZor

✔️The Crowd by Gustave Le Bon
https://t.co/paZKS8pQYr

✔️Thinking fast and slow by Daniel

More from Machine learning

10 machine learning YouTube videos.

On libraries, algorithms, and tools.

(If you want to start with machine learning, having a comprehensive set of hands-on tutorials you can always refer to is fundamental.)

🧵👇

1⃣ Notebooks are a fantastic way to code, experiment, and communicate your results.

Take a look at @CoreyMSchafer's fantastic 30-minute tutorial on Jupyter Notebooks.

https://t.co/HqE9yt8TkB


2⃣ The Pandas library is the gold-standard to manipulate structured data.

Check out @joejamesusa's "Pandas Tutorial. Intro to DataFrames."

https://t.co/aOLh0dcGF5


3⃣ Data visualization is key for anyone practicing machine learning.

Check out @blondiebytes's "Learn Matplotlib in 6 minutes" tutorial.

https://t.co/QxjsODI1HB


4⃣ Another trendy data visualization library is Seaborn.

@NewThinkTank put together "Seaborn Tutorial 2020," which I highly recommend.

https://t.co/eAU5NBucbm
10 PYTHON 🐍 libraries for machine learning.

Retweets are appreciated.
[ Thread ]


1. NumPy (Numerical Python)

- The most powerful feature of NumPy is the n-dimensional array.

- It contains basic linear algebra functions, Fourier transforms, and tools for integration with other low-level languages.

Ref:
https://t.co/XY13ILXwSN


2. SciPy (Scientific Python)

- SciPy is built on NumPy.

- It is one of the most useful libraries for a variety of high-level science and engineering modules like discrete Fourier transform, Linear Algebra, Optimization, and Sparse matrices.

Ref: https://t.co/ALTFqM2VUo


3. Matplotlib

- Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.

- You can also use Latex commands to add math to your plot.

- Matplotlib makes hard things possible.

Ref: https://t.co/zodOo2WzGx


4. Pandas

- Pandas is for structured data operations and manipulations.

- It is extensively used for data munging and preparation.

- Pandas were added relatively recently to Python and have been instrumental in boosting Python’s usage.

Ref: https://t.co/IFzikVHht4

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