#print(df1) x = [datetime.datetime.strptime(d,’%m-%d-%Y’).date() for d in df1.Date] #https://pythonprogramming.net/loading-file-data-matplotlib-tutorial/ plt.plot(x, df1.Close, label=’AAPL’) plt.plot(x, df2.Close, label=’AMZN’) plt.xlabel(‘x’) plt.ylabel(‘y’) plt.title(‘AAPL vs AMZN’) plt.legend(loc=2) plt.show()
Will OpenGL and Qt with C++ and Python lead the way for next generation 3D surface plot charting in heavy quant trading platform or HFT environment ?
I dare you do any search on yYoutube to tsee the ese libraries techniques. I aare you do any search to see how flawless the redering capabilities are as well as the the ingegious touch capaibilities. Who knew these were so entrenched in gaming and mobile platforms especially Android and now Tizen (Samsung OS choice). It is quite incredible but it really has advanced in the last year of 2013. These advanced videos dates posted reflect this. So…it brings me to the conclusion that this could be the choice of future devrelopment for highly advanced trading systems with a 3d effect. I think this will be the resting spot with the exception of how Microsoft progresses in the future. Knowing Satya Nadella will most likely integrate these libraries into future core eidtions of .NET and Windows. Hey, Apple for IOS and OSX supports it. Check out the videos but most of all it is somewhat tue open source but I hope I don’t come across these about in my currrent view of my recent experience with open source..
My experience with Python is a complete mess with all these IDEs and how to confusion with no set standard. I really hope it matures. There is also
Not sure why you are having issues. You just need to reference the mat locations. The only issues that you should have is that Matlab is slow as shit through the .NET interface. —
We have test this with tick processing which seems that it is able to keep up no problem. We cannot guarantee which depends on the complexity of your algorithm in Matlab. Using Matlab Coder could help or GSL if needed.
Due to popular demand, I’m doing a second quant trading video posting featuring crucial R scripts you need in your HFT (and other quant) trading arsenal. Altogether, it’s composed of R sample scripts and the source PDF with a 25 minute video presentation too.
The most recent posting covers portfolios, statistics and strategy creation and execution. This one gets into finer details including how to:
1. Apply a strategy
2. Update a current portfolio
3. Plot moving average crossover performance
4. Manage position size
5. Plot fixed dollar moving average crossover performance
6. Show strategy transactions
7. Plot average crossover with percent equity entries
8. Pass parameters at the time of application
9. Plot an X month simple moving average system
10. Optimize parameters and plot performance metric
It’s all covered in this free video posting. And as before, this is available to the public only once.
P.S. The videos recording will be permanently available to Premium Members
only. Ensure your long-term access to all Premium materials now:
R trading workflow to build strategy, plot, P&L, rules, indicator, signal, portfolio summary ,compute trade/signal statistics Pt 1
R trading including complete workflow to build strategy, plot, P&L, rules, indicator, signal, portfolio summary ,compute trade/signal statistics Pt 1
This contains the following steps:
create the porfolio and account
Plot something like simple moving average
Create your Buy-Sell rules from creating potential short/long positions to exit position
Calculate P&L and resulting equity
Plot the performance
Initialize your set of orders
Crate a new strategy
Add a potential indicator to the strategy
Add a rule to the strategy
Add a signal to the strategy
Execute the strategy
Update the P&L
Plot the portfolio summary time series
Compute return and trade statistics