Yesterday there were no longs generated after the meltdown of Bitcoin from Friday. it seem that crypto currency was a dead asset class. It got me worried since I had no content for webinar I did earlier. tonight. As a result, I had to rework how I approached using this new script I developed a few weeks ago.
Here are the script changes
1. I reduced the look back period from 1000 to 200 days which makes it more than 6 months.
2. I added some new columns after running a linear regression. 4 new columns were added to ranking spreadsheet which include slope, r-value, p-value, and standard error.
3. A new sorting criteria which is in the order of slope, volume and volatility. Note that I will not report any crypto currency less than a volume of 45 million. This is the latest captured bar of volume with closing price added as well.
There is stlll lots of filtering to do which will makes this more precise as I choose which crypto currency pairs into enter the market via Binance exchange.
Assumption: this focuses on buy signals on the long side for now only
I want to know if I am the only one doing this type of ranking system with so let me know by commenting in the Youtube video from below.
This is site shows how bearish the crypto market has become as found at CoinMarketCap. I have found 4 possible opportunities based on daily timeframe with buy signals. As a result I show with indicator charts to show how these can backup the buy signals.
A few things to note that can impact your entry/buying decision:
Volume is a huge factor but I need to figure out proper thresholds for both daily and hourly timeframes. In order to speed up these reports, I can easily filter out those opportunities based on these thresholds.
We can now factor momentum vs volatility vs valuation and so on based on what the video and spreadsheet data holds
Should I breakout the short and long opportunities which can be properly lined up with the specific harmonic patterns
Once properly implemented, I can determine the correct pairs to buy with proper allocation of capital available for that trading. There are numerous factors to consider but as they say, this data does not lie. There is no more guessing or trading on imitation any more. It all data driven which will eliminate human influence.
You will find this sample spreadsheet file but do understand the data is well over a week old so don’t try trading off it. Also, if that was the case as you should never trade off of a crutch like this.
I also plan to apply some machine learning elements to get further data, figure out the weightings based on the indicators, and build an overall report with charts and logic built in.
It’s true most trading quick rich scheme crap including million dollar claims is rubbish: Forex robots teaching alerts signals
I have posted quite a few articles both here on the blog and forum, it seems no one around this community has no interest in these time wasters. Does that mean you are all professional traders, researchers, instituional pros, etc?
It makes me think so as the topics are not winners in terms of popular viewing. I guess I shall stop this tripe now.
Sorry to waste every ones time including my own.
PS. I will not mention products, people, and other services who make these claims. Don’t be a fool There is no real quick rich schemes.
Q&A on storing real time data ticks from IQFeed into a database while generating quant trading signals from DotNet and Matlab
This came in from a QuantLabs.net Premium Member:
> On top of that I have a quick question. I have both IQ feed and
> Matlab, do you know how to get market depth data work it to get
> trading signals? I’m also finding trouble to store the realtime data
> in a database.
Also, IQFeed only give Level 2 but you can get up to level 9 but that is big bucks (i.e. >$1000 per month. As for storage, you could try QCollector but I am working on a CEP solution to store with SQL Server.As for trading signals, you need to code that up into your trading model or strategy which I am also currently working on.
On 2013-09-11 16:21, Túlio Carnelossi wrote:
Lack of example Multicharts.net Microsoft .NET C# source code for indicators and signals so using Matlab Builder NE toolbox
I was surprised that there is little example code in C#. It seems that there is quite a bit of Easy Language code which is compatible with the Power Language version of Multicharts. I am starting to think it might be better just to switch the algorithms to Matlab M script and build .NET assemblies. I would do this through this the Matlab Builder NE toolbox. I am just thinking there is a bigger and better Matlab community versus the Multicharts. Lets see what happens with this approach. See my demo of integrating Multicharts.NET and Matlab/Simulink together.