
Tag Archives: Google

Stock predicting with Google TensorFlow 2 Colab Python
Check out this article I posted yesterday which lit up my Facebook. This was the new Google Colab that work with TensorFflow really nice.
Stock predictor with Google TensorFlow 2 Colab Python
Add in the Google Colab environment, you will have fun working with this stuff. Here is a video demonstrating both the TensorFlow 2 for stock predicting. This is most the likely future of machine learning for the quant finance world.
https://quantlabs.net/blog/2019/04/stock-predictor-with-google-tensorflow-2-colab-python/
Fun with Binance CCXT API trading
I got a live Binance trade with their latest API. This tuff is not fun as I accidentally put at $100 + trade instead of $2 trade. You need to be careful when playing with this fire. I have all of this documented in my a NEW private 48 minute video for my ELITE level members.
The deal is still on for $997 for everything I do including the Python Infrastructure course to lay down your foundation for both systematic trading and the lucrative trading bots.
https://quantlabs.net/academy/introduction-quant-elite-membership/
Thanks and much will be coming.
Bryan
P.S. The future will be very exciting with what I am discovering from these Google free open source machine learning tools.
NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!

Google Colab will lead the future of machine learning and Python
I don’t even think Microsoft Azure is going to be as competitive compared to what is Google is pumping out Google owns the mobile with Android, Google has the market leadership with the machine learning framework like TensorFlow, Now this Colab puts them ahead in the integrated development environment market even compared to any thing Microsoft puts out including Visual Code.
https://qz.com/1113999/nerds-rejoice-google-just-released-its-internal-tool-to-collaborate-on-ai/amp/
https://dev.to/arpitgogia/azure-notebooks-vs-google-colab-from-a-novices-perspective-3ijo
NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!
Stock predictor with Google TensorFlow 2 Colab Python
Add in the Google Colab environment, you will have fund working with this stuff. Here is a video demonstrating both the TensorFLow 2 for stock predicting. This is most likely future in machine learning for the quant finance world.
Here is the Colab environment tool
https://colab.research.google.com/notebooks/welcome.ipynb
NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!
test another #instagram post # #google #test #instagram Link: https://quantlabs.net/blog/2019/02/test-another-instagram-post/
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Google releases open source reinforcement learning framework for training AI models
This article explains why Google is leading the way in machine learning, deep learning, and eventual artificial intelligence. Here is a summary:
“Inspired by one of the main components in reward-motivated behavior in the brain and reflecting the strong historical connection between neuroscience and reinforcement learning research, this platform aims to enable the kind of speculative research that can drive radical discoveries,” Pablo Samuel Castro and Marc G. Bellemare, researchers on the Google Brain Team, wrote in a blog post. “This release also includes a set of colabs that clarify how to use our framework.”
It is the word ‘easy’ that attracts me to this framework to dig into in terms of machine learning. Also, this repository is written in Python which is an extra nice bonus as well.
Just a reminder of the latest events:
Adjusting Your Trading Algo Paremeters via Logs
For next Saturday Sept 8, I will be running an private event for my Elite members on the topic of:
This is becoming an important phase that I feel should be taught for any trading researcher in terms to tweek the performing of your trading ideas.
I am still yet to determine the time.
More sent out yesterday:
Webinar event: Build a baby automated trading system with algos require streaming
This is a very typical conversation I have with online strangers who want to control their own future. This will help those automated trading with altos require streaming.
A Twitter followed opened up with this conversation which created the idea to do this webinar topic.
I am thinking it may be better to pay someone to do the programming? I just don’t have the time. Do all algos require streaming from IQFEED or a third party service. I am looking at kairos have you heard of the program and any thoughts/ recommendations?
Ok I am very motivated . Sounds like python is the way to go. I have tried IBridgePy but didn’t get Far….My system is very simple .
Understanding your own coding is most predictable. I have many folks who lost thousands dues to bad programmers. This is what I have experienced among folks like yourself.
I am thinking it may be better to pay someone to do the programming? I just don’t have the time. Do all algos require streaming from IQFEED or a third party service. I am looking at kairos have you heard of the program and any thoughts/ recommendations?
Thanks. How long would you say it will take someone like myself to get a system up and running and what services do you offer to get me to where I need to be?
It depends on your motivational level. It could take a couple of months with Python. If you try with a lower level like C++ or Java, it would be probably years but most people give up on it.
Here are some topics for the event
Understanding your own coding is most predictable. I have many folks who lost thousands dues to bad programmers. This is what I have experienced among folks like yourself.
- Here is what I will cover to build your ‘baby algo trading system’:
- 1. It depends on your asset class and broker of choice.
- 2. Sample way to download data with 3rd party solutions ranging from Excel to Java ion source source scanners.
- 3. How to use a Python package to do quick analysis using a popular technical analysis library
- 4. Analysis the results to assess trading order decisions
- 5. Which brokers with packages to execute orders
This will take place:
Note that this takes place on Tues Sep 4 dues to Labour Day!
You are invited to a Zoom webinar.
When: Sep 4, 2018 11:00 AM Eastern Time (US and Canada)
Topic: My WebinarWebinar event: Build a baby automated trading system with algos require streaming
Please click the link below to join the webinar:
https://zoom.us/j/309454798
Or iPhone one-tap :
US: +16465588656,,309454798# or +16699006833,,309454798#
Or Telephone:
Dial(for higher quality, dial a number based on your current location):
US: +1 646 558 8656 or +1 669 900 6833
Webinar ID: 309 454 798
International numbers available: https://zoom.us/u/xPHi0HZj

Google says machine learning AI reduce data center energy consumption by 30%
\Another claim of fame. This is good for mankind but there are the other nefarious. I just talked to a content editor of a large book publisher who told me most banking/hedge fund managers are not real believers in machine learning stuff for the company. They will however put together small teams to research to appease their clients who expect them to explore these topics. This is the result of a hyped industry. Also, remember these same managers are the ones who are ultimately signing the paychecks of these researchers.
Anyhow, this is the general concept until some team comes up with an entire approach to machine learning working for the automated space. As you know many of us can be wrong. I made some videos on this below.
Don’t forget this Monday Aug 27, I will be doing my webinar on this topic. I just been asked to ass Easy Language for Tradestation as well.
NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!
#google ai deep mind reduces energy by 30 %
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C++ new cheat sheet out for newbie may help with #google tensorflow to enhance your #machinelearning for #algorithm and #cryptocurrency #bitcoin
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Another record fine for #Google #Europe Union biggest antitrust penalty to date
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