streaming_indicators
Unverified Trend strategy on Multi by mr-easy. BotFinder score 18 out of 100.
A python library for computing technical analysis indicators on streaming data.
Source: github
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streaming_indicators
Streaming Indicators A python library for computing technical analysis indicators on streaming data. Installation Why another TA library? There are many other technical analysis python packages, most notably ta-lib, then why another library? All other libraries work on static data, you can not add values to any indicator. But in real-time trading system, price values (ticks/candles) keeps streaming, and indicators should update on real-time. This library is for that purpose. Usage Each indicator is a class, and is statefull. It will have 3 main functions: 1. Constructor: initialise all parameters such as period. 2. update: To add new data point in the indicator computation. Returns the new value of the indicator. 3. compute: Compute indicator value with a new data point, but don't update it's state. This is useful in some cases, for example, compute indictor on ltp, but don't update it. List of indicators (and usage) - Simple Moving Average (SMA) - Exponential Moving Average (EMA) - Weighted Moving Average (WMA) - Smoothed Moving Average (SMMA) - RMA (RMA) RMA is used in trading view
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