Popular indicators from TA-Lib Python wrapper

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(Last Updated On: February 12, 2018)

Different analytical indicators

Popular indicators were introduced from 2 recent videos. These were from the TA-Lib package Python wrapper.  I further tested to see which indicators could be found useful. Although, I would give you a different answer from my recent analysis video where I demonstrated popular indicators Williams R% and Stochastic, you would think everything looks clean. This is just another way of saying they do not lag when they change direction at fast timeframes like Tick or 1 Minute. I really emphasized the importance of this in the videos.

Different results vs Dukascopy JForex

I went ahead to start analyzing the same indicator with exact timeframes using TA-Lib within Python. As compared from within Dukascopy JForex, It seems I got different results so I tested a complete pile of them. This included:

1. Stochastics was just to jumpy to work with any form of trend.

2. Beta was more consistent which did not move around as much.

3. Williams R was again to volatile (in short periods) moving between in upper and lower ranges

4. Linear Regression and Chaikin A/D Oscillator was the same effect as Williams R

The only ones that seem to work were the popular indicators which include:

1. Normalized ATR

2. SMA

3. Bollinger Bands

4. Rate of Change Percentage

As a result, I will stick these 4 above to find out the magical combination. There are others to pick from within TA-LIB but I find you want to keep the combination simple. This also is important to really understand how properly interpret the unpredictable indicators I list above.

Next steps and considerations

I need to show how to  properly implement these but it depends when there data stored eg. database vs flat file. It looks the simplest is to use CSV with multiple instrument access is less utilized on the computer hardware front. You can obviously understand hoq critical these decisions are for when using an interpreted scripting language like Python.

There will be lots more to report as I continue along. Do note I find working with Python is much more product than Java within Dukascopy Jforex API.

Package info https://github.com/mrjbq7/ta-lib

Williams % and Stochastics most reliable Matlab technical indicator

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About caustic

Hi i there My name is Bryan Downing. I am part of a company called QuantLabs.Net This is specifically a company with a high profile blog about technology, trading, financial, investment, quant, etc. It posts things on how to do job interviews with large companies like Morgan Stanley, Bloomberg, Citibank, and IBM. It also posts different unique tips and tricks on Java, C++, or C programming. It posts about different techniques in learning about Matlab and building models or strategies. There is a lot here if you are into venturing into the financial world like quant or technical analysis. It also discusses the future generation of trading and programming Specialties: C++, Java, C#, Matlab, quant, models, strategies, technical analysis, linux, windows P.S. I have been known to be the worst typist. Do not be offended by it as I like to bang stuff out and put priorty of what I do over typing. Maybe one day I can get a full time copy editor to help out. Do note I prefer videos as they are much easier to produce so check out my many video at youtube.com/quantlabs