I am bringing out Oanda’s forex and CFD eventually. Here is one analysis using Friday’s prediction to today. I just find crypto gives way better success compared to forex and CFD. No leverage need neither.
Get the analytics service while it is affordable
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!
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Here is the latest forward looking macro economic data coming out of the USA. This can be tracked from theĀ St Louis Fed.It seems the manufacturing data is something to watch for. It seems there are early indicators of the global trade wars are starting to take effect. This includes from the new orders and rising inventories.
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!
You can get this as part of my valuable course from below which include crypto for Python
https://quantlabs.net/academy/python-algo-trading-infrastructure-with-crypto-currency/
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 visualization is great to show you where most money is being made in which market sector. As for the latest sector, you can clearly see it was Info Technology. Some call it FAANG which includes Facebook, Apple, Amazon, Netflix, and Google. It also allows you to clearly see what sectors do well based on the changing regimes of global stock markets. I am very fascinated by this so it helps to know where to deploy capital for an optimal portfolio.
The Analytics now has the ability to track best of research from Bloomberg. I always tell newbies that this is the best process to learn when it comes to enhancing your trading skills. In fact, I say it is essential! Why spend literally thousands of dollars on āgurusā who do the same thing to teach you the same skills? Do the same to save to dollars but spend it on the time to understand the nuances of the markets. This is also covered all across all asset classes globally.
I have a special section dedicated in my Analytics section for this analysis. As my 4 minute showcases, you get a links to the research and even a custom video for it.
Just as a note, I have removed the $100 discount. I am still holding a Ā½ price of sales until Thur or Fri this week. This means you can get an annual ANALYTICS subscription for half price.
Get immediate access here
https://quantlabs.net/mkt/introduction-to-quant-analytics/
>>>Ā https://quantlabs.net/mkt/introduction-to-quant-analytics-2-for-1/Ā <<<
I will assess the new updated price after the expiry date!
Thanks for reading
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!
This visualization is great to show you where most money is being made in which market sector. As for the latest sector, you can clearly see it was Info Technology. Some call it FAANG which includes Facebook, Apple, Amazon, Netflix, and Google. It also allows you to clearly see what sectors do well based on the changing regimes of global stock markets. I am very fascinated by this so it helps to know where to deploy capital for an optimal portfolio.
The Analytics now has the ability to track best of research from Bloomberg. I always tell newbies that this is the best process to learn when it comes to enhancing your trading skills. In fact, I say it is essential! Why spend literally thousands of dollars on āgurusā who do the same thing to teach you the same skills? Do the same to save to dollars but spend it on the time to understand the nuances of the markets. This is also covered all across all asset classes globally.
I have a special section dedicated in my Analytics section for this analysis. As my 4 minute showcases, you get a links to the research and even a custom video for it.
Just as a note, I have removed the $100 discount. I am still holding a Ā½ price of sales until Thur or Fri this week. This means you can get an annual ANALYTICS subscription for half price.
Get immediate access here
https://quantlabs.net/mkt/introduction-to-quant-analytics/
I will assess the new updated price after the expiry date!
Thanks for reading
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!
This visualization is great to show you where most money is being made in which market sector. As for the latest sector, you can clearly see it was Info Technology. Some call it FAANG which includes Facebook, Apple, Amazon, Netflix, and Google. It also allows you to clearly see what sectors do well baed on the changing regimes of stock markets. I am very fascinated by this so it helps to know where to deploy capital for an optimal portfolio.
http://digg.com/2018/who-is-responsible-market-growth?amp=true
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 is part of my data process and analytical tools.I can deliver this in near real time as demonstrated in this video. I plan to put this type of access behind my Analytics service.Ā
You can check my 7 Day trial to this service.
New split of downloading duties to speed. I also focused on the top 30 crypto currencies based on volume.
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!
Hi Bryan, I have readĀ https://www.youtube.com/watch?v=A07CBHXq75AĀ I was wondering, are there any codes on github where one could execute an indicator from MT4 or Tradingview via Java, or instead of executing orders, receiving buy sell signals via sms from an MT4 or tradingview indicator, via java, on an sms? How would you construct such indicator?
My answer is in the video but in a nutshell: always use the market data of where you trade or submit orders.
Everything described is in this future.
Also, in this video I addressed the changing situation of brokers due to their Python API support. One example is how Dukascopy seems to become irrelevant since more people want machine learning in their trading. It seems they seek Python for this. You can find all these answers towards the end of the video .
I teach this in my Python course
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 i have measured this ‘risk’ for thresholds and daily target moves, it is critical to minimize your loss and protect daily profit. You can always do this with market data. You do not want to over trade as I call it. I have shown many examples of achieving a profit level but find you can lose within a few minutes. So why do that? You can now figure why pro readers or the gurus finish their trading within a hour. Now you know why.
In this video, you will find how I am able to quantify the risk. I set different trading ‘modes’ based on the risk results I see. It helps to meet the trading goals Ā I mention above. Some people have difficulties to figure this out. Uh…are they pro traders? Probably not. Let’s put it this way I have learned how many 7-8 digit traders who lead desks do it. This is it! Also, it is very effective and simple. Plus you get more time off if you wanted.
As for me, I am not going to argue with folks who do not generate logs nor analyze them to understand the nuances of the asset class they want to trade. Nor do they focus on trading execution on this same market data. All they do is base it on hunch or do some back test in a severe negative period like 2008/2009. Seriously, they will be surprised when they see how their strategy/algo does against current market data. If you want a conversation, show me a current set of logs of your market data with real trades. Until then, you most likely will wasting all involved with their time.
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!
