Guided tour walkthrough Elite trial to build primitive algo trading system
Here it is for the 2 month trial to my Quant Elite membership. Get complete details here if interested.
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!
Can u develop an algo trading system in an hour ?
I explain this in a Facebook QuantLabsnet page.
In short, I plan to add some exclusive content for my Elite members
I will post all the details in an upcoming event on my Quantlabsnet Facebook page
As always, you follow me on that page for live notification alerts.
I also did another topic on why I focus on hosting my own courses vs being with something Udemy. Also, I answered a question on my thoughts on machine learning here.
If you are interested in any my services, you can visit my store
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!
I have received an article that ‘lit up’ my Facebook group. That is nit really tnot rue but relatively speaking, this article does show how these algos with machine learning/artificial intelligence/data science has an impact on the world of quant and algo trading. I would pay attention to the first pick at this article as it shows how influential the first pick is. Also, I find he is a great Youtube video resource if you are new to this space. I am to but I plan to learn more of this stuff later once the cold weather kicks in here in Canada.
https://thenextweb.com/contributors/2018/08/04/ai-experts-favorite-algorithms-siraj-raval/?amp=1
I also made a video here.
I want to highlight the benefits of my Quant Analytics service. Note that I will not be posting generous tales of of my crypto currency nor forex trading adverntures anymore.
Check out my ‘trailer’ of this service.
If you have been an active reader of this list, most of my services are going up. Here is one noted response:
I’m an EMT/student studying python as an amateur programmer with 10 years trading experience. I love quantlabs courses.
What is the least expensive first few classes you suggest for someone on my budget?
I would typically respond with that there are 2 ‘legacy’ product you will find on my store that are under $250 each. These might be older, but they are still useful to work from for those on a budget.
Just remember I want to be one of the only resources out there who odes live trades, has 3rd party certification of website traffic, and online courses/services for those interested in what I teach. I am also just going into the premium market now as there are lots of free resouces out there for newbies in this space.
Lastly,
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!
First, a message from our sponsor:
I am keeping the Python Infrastructure course pretty affordable for the next few days. I am continuing to let you know that this course will potentially double in coming days! If things work out as described below, you will find this material will become pretty valuable. If you click the link, you can find ALL the details in this course. I will also be adding the latest learnings of crypto and Forex (for Oanda for USA residents) to get you running to have your own ‘crude algo trading system.’ One popular request is a simple video to showcase a very very primitive but simple system capturing data, set up a simple strategy, and do the automated trading. Again, just click the link below to get further details or if you want to proceed learning more.
New course!! Building Python algo trading system with Bitcoin an crypto currency focus
And now for todays set of important messages and updates ….
First, I put out an analysis and two crypto currency pairs for potential increase with a combined combination of expected return of 1.9%. Here is that link:
And now for todays set of important messages and updates ….
https://quantlabs.net/blog/2018/07/cryptocurrency-hot-potential-buys-jul-23-xzc-bnb-bch-binance/
This morning I then posted the results of these two crypto currency repairs. Here is the Facebook Live vide I posted:
SIDE NOTE: IF you want to get alerts of when I do these Facebook LIVE sessions, just goto my Facebook Quantlabsnet page to either Like or Follow to be notified when I go live. I will be doing more of these as I find the engagement is much higher than Youtube these days.
What I found was interesting where BCHBNB was up 5.1% over 24 hours while ZCHBNB was down 4.1. When you net it all out, you are still up 1% which meets the desired daily move. I still find 0.5% is more realistic but I will take 1% for sure. Also, I might just focus on the best selected pair instead of combining various crypto currencies for a potential elevated return. Who knows? This all needs to be tested over the next weeks to figure that out.
The second item is to remind you all about my upcoming webinar topic I emailed out over the last few days. Details of this can be found here:
https://quantlabs.net/blog/2018/07/webinar-funded-bitcoin-automated-trades-binance/
I have worked on my Positions Manager which is working out nice. I can also have both the Watchlist work with the Positions Manager when they open up positions. I even got working with closing/exiting the position. Keep your eyes peeled for this nice integration. But it don’t stop there….. I will be working to automatically submit the picked crypto currency pairs into the Watchlist. All I need to do is integrate everything to occasionally run this daily or every few hours. Pretty cool huh? I will keep you updated on this.
Thanks for reading, have a profitable day ok?
Bryan
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!
Intro to crude position manager for cyrpto currency algo trading
This video focuses on a crude ‘position manager’ which I have shown many examples, I say crude, this is because there are so many bugs still in this. There also so many various conditions to factor in but most of my focus will be in this area. I would think this part of the entire will be the most valuable as it will:
This is fully explained in my video.
Note that I do stress this is theoretical with the ranges explained above.
As you know, I like using this method to protect your account especially if your broker/exchange has a market making division. If you signal back your stop losses, your broker/exchange can prematurely kick you out of a potentially very profitable trade. With this virtual way, you can pretty well guarantee this will not happen as many brokers are corrupt in manipulating your trading potential. I have many videos on this exact topic.
This position manager will have some very helpful into on the latest info on your pricing targets once your positions is put on. This will be very useful if you plan to use the Analytics service.
Thanks Bryan
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!
I still find thi s broker really tough to understand as explained below. As a result, my views of Oanda API has not changed. I am trying to help out those Americans who want to do algo trading. It seems Oanda is the last broker of it’s kind to support Python API for forex and CFD for US residents. Also, they are still a market maker so watch out in terms of trusting them. Based on my experience below, nothing huge has improved in terms of getting things working via their API. As you will read, the second link was helpful to make it work. The question is how long will these examples will still work until Oanda decide to change their API functionality yet again.
I think I finally got Oanda v20 running with Python. This broker is a complete nightmare with the various document (or lack of) to install/implement via GitHub. I tried many different ways but you may want to visit these links below:
https://github.com/oanda/v20-python-samples
You will need to ensure that you create your broker account and API tokens. These will be needed for the examples below. The link above provides a convenient Python script to create your V20.conf file. You may want to follow that process. There are also mentions of needing different virtual environments. I found this is not needed with the example code below.
https://github.com/hootnot/oanda-api-v20
The examples found in this link seems to work as long as your provide a valid V20 API token and account Id. One confusing part is use the AccountID which is the active_account found in the .conf file. I never used the username in any of the example above. As I am using Mac OS where the .v20.conf is created and stored in /Users/currentuser
The next though part is to filter through the response data.
As for the backtrader Python package, I did not find a Quickstart Tutorial for how to implement Oanda. Either that or it was too involved. I found another forum posting so I just decided to go native Oanda instead of using another Python package for access.
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!Warning on your sleazy forex broker account and crypto currency exchange
Working on this automation code for a watchlist for both entry and exit. This includes monitoring for open positions.
#***watchlist for entries
#query for watchist
#iterate through based on each stock pick combo (from report) with no open positions
#use parameter to meet condition of market order
#if met, put position and flag combo as open position since it is put on (check rick management using tool like Kelly Criterion)
#****watchlist for exit
#query for open positions
#iterate open positions where ATR needs to be met in order to close/exit
Let maximise our crypto currency asset class trading positions with portfolio optimization
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!
As explained in this Uber engineering article, it seems that this Convolutional Neural Networks has failed them. Some folks have come to asking about this. If you saw yesterdays email, it seems that Long Short Term Memory was more effective. I am not machine learning expert but I am asking for anyone’s experience here. Let me know how you find these two methodologies can be used for which algorithmic trading asset class. Here is the article
https://eng.uber.com/coordconv/
This 15 (approx) minute video showcases my portfolio optimizer which I have shown before. Do realize this can be applied to any asset class. You can always search on my Youtube channel for ‘portfolio’ as hinted in this video. The idea here is to showcase you could triple your expected return by using the appropriate strategy type with proper optimally weighted positions. This is all shown in the video. I would say this is one of the biggest reasons to automate your strategy and trading. No human can do this if you were to allocate a higher number of positions across multiple asset classes for the day. You could even run this script every few hours if I wanted to allocate positions every X hours. I would have to feel pretty lucky to do that.
Do understand your analysis look back also matters depending on your overall asset class performance. As of now, crypto currency has taken a major beating so it might be wise lower the loopback to let’s say 7 days vs 30 as shown in the earlier part of the video.
Note that this can be used on any asset class based on the historical performance of standard open, high, low, and close market data. I use Binance exchange which only allows long only but could also include portfolio strategy methodology of Markovian Long/Short, Markovian market neutral, and Markovian Market Neutral.
Let me know what you think of this.
Let maximise our crypto currency asset class trading positions with portfolio optimization
As usual, this will be part of the Quant Analytics service to enhance your profits so see below if interested
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!
This 15 (approx) minute video showcases my portfolio optimizer which I have shown before. Do realize this can be applied to any asset class. You can always search on my Youtube channel for ‘portfolio’ as hinted in this video. The idea here is to showcase you could triple your expected return by using the appropriate strategy type with proper optimally weighted positions. This is all shown in the video. I would say this is one of the biggest reasons to automate your strategy and trading. No human can do this if you were to allocate a higher number of positions across multiple asset classes for the day. You could even run this script every few hours if I wanted to allocate positions every X hours. I would have to feel pretty lucky to do that.
Do understand your analysis look back also matters depending on your overall asset class performance. As of now, crypto currency has taken a major beating so it might be wise lower the loopback to let’s say 7 days vs 30 as shown in the earlier part of the video.
Note that this can be used on any asset class based on the historical performance of standard open, high, low, and close market data. I use Binance exchange which only allows long only but could also include portfolio strategy methodology of Markovian Long/Short, Markovian market neutral, and Markovian Market Neutral.
Let me know what you think of this.
As usual, this will be part of the Quant Analytics service to enhance your profits so see below if interested
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!
It seems that deep learning has been questioned when it comes to financial modelling. A decent article came out from a WorldQuant. This Medium article covers how to improve your forecasting using both in and out samples. It also covers:
1. Return Prediction comparing ARIMA, VAR, Deep Regression, Convoluted Neural Networks, and Long Short Term Memory.
2. Portfolio Construction with deep learning and deep index.
I also tried to implement a GUI Python project that sat on top of backtrader. It seems I did not get anywhere after an hour. Sorry for the spoiler alert but you can learn how to install backtrader by watching the first part of the video.
That is here with helpful links
Lastly, I have managed to put up the purchase button for my Quant Analytics service which will be frequently updated with all the Crypto Currency reports I have been working over the last few months.
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!
