I have been busy for the past 8 months learning Python, a computer programming language. Having access to historical & live trading data and been able to utilize it to its fullest is certainly an advantage only programmers have.
It is no wonder that the most profitable hedge funds are always on the lookout for Data Scientist, Data Engineers and Data Analyst more so than looking for new traders.
As of right now I am capable of accessing price information, past and current, create indicator functions such as all the indicators I have included in the ZScore Indicator Suite, create a symbol scanner/screener which it can scan the entire market, whether it be forex, crypto, stocks, indices or commodities and look for symbols that meet a certain trading condition. Such scans’s results are then posted into a simple Google Sheet for further analysis saving me hundreds of hours from looking at each symbol’s bar charts.
I am also able to backtest any trading strategy against historical data and be able to analyze the results with ease. I am not capable yet, but hopefully soon, to connect to a broker and use the signals to enter/exit trades. The process is not that complicated and honestly I haven’t put much time into it yet since I am prioritizing other aspects first as I get more comfortable/confident with writing Python code.
Need a Programmer for your trading ideas?
Below is a simple example of a project I did for a client who was interested in running a scan against a list of 400 stock’s symbols in order to find out which one are currently showing a ZScore equal or below -1.86 on the 50 period Daily moving average for him to enter Longs. This is the kind of work I can do for you if you are interested. If so reach out to me at email@example.com
TRADING SIGNALS DELIVERED TO YOUR GOOGLE SHEET!
Like in the example above, I have plans to put together a set of strategies that can be delivered to your Google account for a small fee. If you are interested in this kind of service please register your interest below so that you can be notified when it goes live