Topic: Preferred tools for analysis (Read 1453 times)
One suggestion: Learn about, familiarize yourself and work with with different types of moving averages. If your background is in signal processing or statistics anyway, this will probably be a given, but it took me a while to see the importance in this, and get a (slightly) deeper understanding beyond "hur dur let's use the SMA with different parameters".
yes, i'd just code them up myself as well. the functions are easy enough to find.
also, dont be afraid to change the settings of parameters. ex, macd (12, 26) and (9). they are certainly not the most optimal choices, but rather just default settings typically based on stocks traded mon-fri, 9:30-4pm etc...
imo, one is not helping themselves by using default settings for bitcoin or other crypto trading. find the parameters that best describe your market. backtest. etc...
also, dont be afraid to change the settings of parameters. ex, macd (12, 26) and (9). they are certainly not the most optimal choices, but rather just default settings typically based on stocks traded mon-fri, 9:30-4pm etc...
imo, one is not helping themselves by using default settings for bitcoin or other crypto trading. find the parameters that best describe your market. backtest. etc...
Recently, I started to mess with python to plot BTC/USD data. I am familiar with R and Rattle, and want to play around with predictive models for fun. I know there is a quantmod package for R, but I am more familiar with python code. Do people know of a package that includes functions like MACD() and Stochastic shit? Any suggestions?
Also, what do you use for your Gann angles and trendline nonsense? I am open to playing around with a user interface, but in the long run I want to deal with hard statistics and modeling.
Also, what do you use for your Gann angles and trendline nonsense? I am open to playing around with a user interface, but in the long run I want to deal with hard statistics and modeling.
I know there are libraries out there for technical indicators, but not sure if there is anything for python specifically. You might be better off just writing your own functions to calculate indicators.
MACD is just a pair of exponential moving averages (12, 26), the difference between the two, and an EMA of that (9).
Recently, I started to mess with python to plot BTC/USD data. I am familiar with R and Rattle, and want to play around with predictive models for fun. I know there is a quantmod package for R, but I am more familiar with python code. Do people know of a package that includes functions like MACD() and Stochastic shit? Any suggestions?
Also, what do you use for your Gann angles and trendline nonsense? I am open to playing around with a user interface, but in the long run I want to deal with hard statistics and modeling.
Also, what do you use for your Gann angles and trendline nonsense? I am open to playing around with a user interface, but in the long run I want to deal with hard statistics and modeling.
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