P.S. I did not think I will be announcing this so early but
here we are:
Whatapp chat group and Facebook so move to private
chat server
Just a forewarning, i am no longer using Facebook or
anything including Whatsapp or Instagrm or Messenger as of today.I will not
replying on anything on any of those. If you want to join my private community,
join here for a life access with a private chat server with no track or
logging.
Ok, I have done enough solo
work… I’m ready to jump in the Quant Lab team!
Last fall summer didn’t
quite exactly answer the question that I have.
The Python scripts that you
do show in the video,
ccxt_market_data2.py
reportTA.py
I am interested in learning
in the indicators that you do use:
The Fibonacci levels
Bollinger bands
The green Trend line that
you draw in the *Trend.png
So do you confirm that in
the “DVD” product, you will teach those topics (and perhaps also
maybe share those 2 scripts)?
Beside the purchase of the
DVD, what else do I need to purchase to be granted access to the signal
service?
And why 2 distinct sets of
signals? Binance ones arent good on Kraken and vice-versa??
BTW, after having viewed
your video yesterday, I did create a ArchLinux VM with Vultr in the LAX region.
It did reduce my latency
with Kraken from 140ms RTT with my Montreal server to something between 20-30ms
RTT!
Lately, I was getting
front-runned systematically on most of my triangular arbitrage trades, that was
not fun…
I feel like now it is going
much more profitable…
My setup is up and running
but it hasn’t been triggered yet…(This strategy gets triggered in burst. It
can be very quiet and start trading like crazy for short periods)
I’m very eager to see it in
action! I did refine my system since last email exchange… I was struggling to
reach $xx monthly trade volume. I got that milestone in the first few days of
2021 and I am about break the $xxx level… However, there is more volume than
profit… (Not good)…
I need help from a team of
liked minded individuals… I’m ready to join your team
Bottomline, I benefitted
big time of that video. Thanks a lot! (I didn’t know about Vultr and they are
much better than AWS…)
And, this is to be
considered… I have way too much power on the VM. I took the 3 CPU High
frequency setup. This thing is a beast. In fact, you don’t have 3 CPUs, you get
6 with the Hypethread thing… Despite processing millions of updates, I do use
less than 10% CPU out of 600%!
If you have a hard time
finding the right environment… Setting you an account on my VM could maybe be
an option…
Hi Bryan,
Ok, I have done enough solo
work… I’m ready to jump in the Quant Lab team!
Last fall summer didn’t
quite exactly answer the question that I have.
The Python scripts that you
do show in the video,
ccxt_market_data2.py
reportTA.py
I am interested in learning
in the indicators that you do use:
The Fibonacci levels
Bollinger bands
The green Trend line that
you draw in the *Trend.png
So do you confirm that in
the “DVD” product, you will teach those topics (and perhaps also
maybe share those 2 scripts)?
Beside the purchase of the
DVD, what else do I need to purchase to be granted access to the signal
service?
And why 2 distinct sets of
signals? Binance ones arent good on Kraken and vice-versa??
BTW, after having viewed
your video yesterday, I did create a ArchLinux VM with Vultr in the LAX region.
It did reduce my latency
with Kraken from 140ms RTT with my Montreal server to something between 20-30ms
RTT!
Lately, I was getting
front-runned systematically on most of my triangular arbitrage trades, that was
not fun…
I feel like now it is going
much more profitable…
My setup is up and running
but it hasn’t been triggered yet…(This strategy gets triggered in burst. It
can be very quiet and start trading like crazy for short periods)
I’m very eager to see it in
action! I did refine my system since last email exchange… I was struggling to
reach $xx monthly trade volume. I got that milestone in the first few days of
2021 and I am about break the $xxx level… However, there is more volume than
profit… (Not good)…
I need help from a team of
liked minded individuals… I’m ready to join your team
Bottomline, I benefitted
big time of that video. Thanks a lot! (I didn’t know about Vultr and they are
much better than AWS…)
And, this is to be
considered… I have way too much power on the VM. I took the 3 CPU High
frequency setup. This thing is a beast. In fact, you don’t have 3 CPUs, you get
6 with the Hypethread thing… Despite processing millions of updates, I do use
less than 10% CPU out of 600%!
If you have a hard time
finding the right environment… Setting you an account on my VM could maybe be
an option…
NOTE I now post myTRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!
Ok, I have done enough solo work… I’m ready to jump in the Quant Lab team!
Ok, so based on what you wrote,
without having the exact implementation details that you do use,
your python algo trading class is covering :
Fibonacci, Bollingers and how to calculate a trend line like the
one your script reportTA generates (and much more, I assume)
and the course would give good knowledge on how to do it myself.
Correct?
2. I did ask Kraken reps themselves about what someone could do to
have good latency with their service and they told me the following:
Low Latency Options
For our exchange REST and WebSocket APIs, we recommend hosting your API client
at AWS in California.
Of course, as you know, AWS sucks. They offer only old platforms
like CentOS 6 (based on 2.6.32 kernel!)
The problem is that Kraken is behind Cloudflare. When you do a DNS
lookup on their servers, you get a Cloudflare IP. Their network topology is
totally opaque to regular net tools. You either have insider knowledge from
Cloudflare, or you figure it out with trial and errors. Let me show you
something.
ping numbers from MTL:
$ ping ws-auth.kraken.com
PING ws-auth.kraken.com (104.16.212.191) 56(84) bytes of data.
64 bytes from 104.16.212.191 (104.16.212.191): icmp_seq=1 ttl=60
time=0.652 ms
64 bytes from 104.16.212.191 (104.16.212.191): icmp_seq=2 ttl=60
time=12.8 ms
64 bytes from 104.16.212.191 (104.16.212.191): icmp_seq=3 ttl=60
time=0.430 ms
64 bytes from 104.16.212.191 (104.16.212.191): icmp_seq=4 ttl=60
time=0.449 ms
64 bytes from 104.16.212.191 (104.16.212.191): icmp_seq=5 ttl=60
time=0.488 ms
64 bytes from 104.16.212.191 (104.16.212.191): icmp_seq=6 ttl=60
time=0.461 ms
64 bytes from 104.16.212.191 (104.16.212.191): icmp_seq=7 ttl=60
time=0.484 ms
^C
— ws-auth.kraken.com ping statistics —
7 packets transmitted, 7 received, 0% packet loss, time 6010ms
rtt min/avg/max/mdev = 0.430/2.258/12.844/4.322 ms
ping from vultr LAX site:
$ ping ws-auth.kraken.com
PING ws-auth.kraken.com (104.16.215.191) 56(84) bytes of data.
64 bytes from 104.16.215.191 (104.16.215.191): icmp_seq=1 ttl=58
time=0.783 ms
64 bytes from 104.16.215.191 (104.16.215.191): icmp_seq=2 ttl=58
time=0.860 ms
64 bytes from 104.16.215.191 (104.16.215.191): icmp_seq=3 ttl=58
time=0.794 ms
64 bytes from 104.16.215.191 (104.16.215.191): icmp_seq=4 ttl=58
time=0.412 ms
^C
— ws-auth.kraken.com ping statistics —
4 packets transmitted, 4 received, 0% packet loss, time 3004ms
rtt min/avg/max/mdev = 0.412/0.712/0.860/0.175 ms
That looks like pretty solid #s right, they fool you. They
represent the ping time you get from the nearest Cloudflare proxy.
I use Kraken WS updates ts and I measure the difference between a
book entry introduction and the order open timestamp as reported by the
exchange ack msg (assuming my bot reaction time is negligeable. it is by being
less than 1ms).
From Montreal, I was having interval of 140ms
So far since this morning, the best RTT that I did measure from
LAX was 60ms.
It is much better but I’m not yet 100% satisfied as, again with
the help of Kraken updates timestamps, I know that some traders are able to get
roughly a 35-40ms RTT…
If there is more than 1 trader doing triangular arbitrage, the
fastest one reap it all…
Yes, it is very tough… The concept is simple but there is a lot
of problems in the details…
I have been on it for the last year and it starts to work… I
have worked out most of the pitfalls.
3. I’ll take a look at Lnode but TBH, I don’t really care about
customer service… I mostly care about the product and I have been impressed a
lot by vultr. In less than in an hour, I was up and running with a fresh server
install with exactly the same environment than my dev env. My previous server
in mtl was CentOS 7 (My webserver) and it was pain to rebuild my bot for that
different env. With vultr machine, I just need to upload the binary that I have
compiled on my desktop and it works out of the box with the added security
benefit of not having to move my source code containing my secret sauce and my
exchange accoutn keys on a different machine.
I need to find the data center that is going to provide me a
latency that is less than 10ms… If I can find that, I’ll do my own customer
service 😉
Hey, I have found this blog:
https://www.sissoftwarefactory.com/blog/
very interesting stuff…
To wrap things up:
1. Is your python algo trading course is going to meet my needs of
learning the indicators that you show in your videos?
2. What is the product granting access to your signal service?
Last fall summer didn’t
quite exactly answer the question that I have.
The Python scripts that you
do show in the video,
ccxt_market_data2.py
reportTA.py
I am interested in learning
in the indicators that you do use:
The Fibonacci levels
Bollinger bands
The green Trend line that
you draw in the *Trend.png
So do you confirm that in
the “DVD” product, you will teach those topics (and perhaps also
maybe share those 2 scripts)?
Beside the purchase of the
DVD, what else do I need to purchase to be granted access to the signal
service?
And why 2 distinct sets of
signals? Binance ones arent good on Kraken and vice-versa??
BTW, after having viewed
your video yesterday, I did create a ArchLinux VM with Vultr in the LAX region.
It did reduce my latency
with Kraken from 140ms RTT with my Montreal server to something between 20-30ms
RTT!
Lately, I was getting
front-runned systematically on most of my triangular arbitrage trades, that was
not fun…
I feel like now it is going
much more profitable…
My setup is up and running
but it hasn’t been triggered yet…(This strategy gets triggered in burst. It
can be very quiet and start trading like crazy for short periods)
I’m very eager to see it in
action! I did refine my system since last email exchange… I was struggling to
reach $xx monthly trade volume. I got that milestone in the first few days of
2021 and I am about break the $xxx level… However, there is more volume than
profit… (Not good)…
I need help from a team of
liked minded individuals… I’m ready to join your team
Bottomline, I benefitted
big time of that video. Thanks a lot! (I didn’t know about Vultr and they are
much better than AWS…)
And, this is to be
considered… I have way too much power on the VM. I took the 3 CPU High
frequency setup. This thing is a beast. In fact, you don’t have 3 CPUs, you get
6 with the Hypethread thing… Despite processing millions of updates, I do use
less than 10% CPU out of 600%!
If you have a hard time
finding the right environment… Setting you an account on my VM could maybe be
an option…
NOTE I now post myTRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!
Based on my last Youtube video, some alt coins have returned 4-12x return
regardless of the recent Bitcoin crash. As a result, there are lots opportunity
out there. The big news is that this message queue is back to working with a
production ready Python web server. I have also tried out a better grade cloud
provider I promoted on my blog in the last few days.
I have decided to go with Vultr Cloud Compute virtual machine server as at vultr.com. It is only $20 per month! Digital Ocean has customer service problems with their virtual machines are slow and can be corrupted easily.
It is quite affordable but here are some instructions to set up your virtual machine. I also chose Ubuntu 20.1 for the Linux distribution.
Add user https://linuxize.com/post/how-to-create-users-in-linux-using-the-useradd-command/
Set user password
https://www.cyberciti.biz/faq/linux-set-change-password-how-to/
You should be able to ssh in as any other server
sudo apt-get update
To install an exact version of Python
https://unix.stackexchange.com/questions/332641/how-to-install-python-3-6
Ubuntu server
Add user to sudoers
https://www.digitalocean.com/community/tutorials/how-to-create-a-sudo-user-on-ubuntu-quickstart
There are basically 3 server deployment options as explained below. The Linux set option is horrendous. Cloud is better but still complicated. Screw it, I will be lazy to just set up a remote desktop environment via an Ubuntu Linux server on Digital Ocean.
Setting up Flask app on Heroku cloud. My traditional don’t have the necessary software (e.g. Gunicorn) nor will support it. It is time to move this.
HIgh level options to deploy  https://blog.miguelgrinberg.com/post/how-to-deploy-a-react–flask-project
As you can see in this mega tutorial chapter 17-19, highlight
the different deployment options of Linux, Heroku, and Docker. I think Heroku
is most logical and easiest with minimal amount of work. Linux is tough like in
my case espescailly if your hosting company offers limited support. It seems
Docker container hosting can be very expensive but easy to deploy from server
to server.
I like the Docker options since the app is in a self
contained container which can be transported from server to server quite
easily. Here are some hosting options:
Heroku got quite a few set up of upvotes when mentioned
which is encouraging. I do like the idea of turning a ‘cheap’ virtual machine
into a Docker container to have it hosted somewhere. I wonder if
Heroku also take Paypal out of convenience.
Heroku vs AWS (just go to the verdict at the bottom)
This guys articles are definitely top notch when it comes to
Flask technology.
(as I hinted before, you would want to stay away from this
proprietary tech so you are no held hostage to AWS. Can your say Parler anyone?)
It is an interesting read though.
From a career perspective, knowing these Python technologies
can help your career since it is the most popular for web development.
Lots of late nights with the code to deployed on any Flask production server
I looked at pretty well at every Flask server for my server
on my hosting company which uses CentOS 7. The only one I got working was this
server was uWSGI. This was using this
I looked at pretty well at every Flask server for my server on my hosting company which uses CentOS 7. The only one I got working was this server was uWSGI. This was using this
Here is a common error I get with Flash Waitress web server I am currently testing: (should I go with Gunicon?)
ERROR:waitress:Socket error Traceback (most recent call last): File “/usr/local/lib/python3.6/site-packages/waitress/channel.py”, line 118, in handle_write flush() File “/usr/local/lib/python3.6/site-packages/waitress/channel.py”, line 207, in _flush_some_if_lockable self._flush_some() File “/usr/local/lib/python3.6/site-packages/waitress/channel.py”, line 227, in _flush_some num_sent = self.send(chunk) File “/usr/local/lib/python3.6/site-packages/waitress/wasyncore.py”, line 433, in send result = self.socket.send(data) TimeoutError: [Errno 110] Connection timed out
I tried to be compliant with LiteSpeed which my hosting provider will support. There are a few ways to do this with:
Host it on Heroku? https://www.heroku.com/pricing
Good general overview:
https://vsupalov.com/flask-web-server-in-production/
I am using Waitress but it seems to time out quite a bit. This above article recommend \s Gunicorn.
https://www.toptal.com/flask/flask-production-recipes

Second article to recommend both Gunicorn but use Nginx instead?
How configure Nginx for Flask
https://www.digitalocean.com/community/tutorials/how-to-serve-flask-applications-with-uswgi-and-nginx-on-ubuntu-18-04
Another Gunicorn with Nginx
https://medium.com/faun/deploy-flask-app-with-nginx-using-gunicorn-7fda4f50066a
A warning about databases for Gunicorn
https://github.com/etianen/django-herokuapp/issues/9
Comparison across other Python web servers
https://www.appdynamics.com/blog/engineering/a-performance-analysis-of-python-wsgi-servers-part-2/
https://www.reddit.com/r/Python/comments/76g3vf/which_wsgi_servers_are_safe_to_expose_to_the/
This says Waitress is safe
https://docs.pylonsproject.org/projects/waitress/en/latest/design.html
Pros for Waitress over Gunicorn
https://www.reddit.com/r/Python/comments/qupyf/waitress_productionquality_purepython_wsgi_server/
Gunicorn vs Waitress https://stackshare.io/stackups/gunicorn-vs-waitress
