There are many different technical #indicators that traders in #Algorithmic #Trading with #python use to decide whether to enter or exit a position. In this guide, we will learn how to easily calculate some of these indicators using the TA-Lib library, which is the most popular library for this purpose.
Let's start by briefly introducing a few selected indicators.
Bollinger Bands are a statistical method used to gather information about the prices and volatility of an asset over time. To calculate the Bollinger Bands, we need to find the moving average and standard deviation of the price data over a specified period (usually 20 days). Then, we set the upper and lower bands at a certain multiple (typically 2) of the moving standard deviation above and below the moving average. The interpretation of the bands is simple: they widen with increased volatility and contract with decreased volatility.
The Relative Strength Index (RSI) is an indicator that uses the closing prices of an asset to identify overbought or oversold conditions. The RSI is usually calculated using a 14-day period and is measured on a scale from 0 to 100. Traders typically buy an asset when it is oversold (RSI below 30) and sell when it is overbought (RSI above 70). More extreme levels such as 80-20 are used less frequently but indicate stronger momentum.
The MACD line is the difference between the fast (short period) and slow (long period) Exponential Moving Averages (EMAs). Lastly, we calculate the MACD signal line as a 9-day EMA of the MACD line. When the MACD line crosses above the signal line, it can be considered a buy signal.
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NLTK: https://www.nltk.org/
spaCy: https://spacy.io/
Gensim: https://radimrehurek.com/gensim/
Stanford CoreNLP: https://stanfordnlp.github.io/CoreNLP/
TextBlob: https://textblob.readthedocs.io/en/dev/
PyTorch-Transformers: https://github.com/huggingface/transf...
AllenNLP: https://allennlp.org/
Polyglot: https://polyglot.readthedocs.io/en/la...
FastText: https://fasttext.cc/
Hugging Face Transformers: https://github.com/huggingface/transf...
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NLTK: https://www.nltk.org/
spaCy: https://spacy.io/
Gensim: https://radimrehurek.com/gensim/
Stanford CoreNLP: https://stanfordnlp.github.io/CoreNLP/
TextBlob: https://textblob.readthedocs.io/en/dev/
PyTorch-Transformers: https://github.com/huggingface/transf...
AllenNLP: https://allennlp.org/
Polyglot: https://polyglot.readthedocs.io/en/la...
FastText: https://fasttext.cc/
Hugging Face Transformers: https://github.com/huggingface/transf...
CONTACT: RENJITHR@YMAIL.COM
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