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# TECHNICAL ANALYSIS
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# PREDICTION TECHNIQUES
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This menu aims to perform a technical analysis on a pre-loaded ticker chart, and the usage of the following commands along with an example will be exploited below.
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This menu aims to predict the share price of a pre-loaded stock, and the usage of the following commands along with an example will be exploited below.
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```
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overlap:
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ema exponential moving average
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sma simple moving average
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vwap volume weighted average price
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momentum:
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cci commodity channel index
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macd moving average convergence/divergence
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rsi relative strength index
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stoch stochastic oscillator
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trend:
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adx average directional movement index
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aroon aroon indicator
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volatility:
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bbands bollinger bands
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volume:
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ad chaikin accumulation/distribution line values
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obv on balance volume
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```
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* [sma](#sma)
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- simple moving average
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* [knn](#knn)
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- k-Nearest Neighbors
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* [linear](#linear)
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- linear regression (polynomial 1)
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* [quadratic](#quadratic)
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- quadratic regression (polynomial 2)
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* [cubic](#cubic)
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- cubic regression (polynomial 3)
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* [regression](#regression)
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- regression (other polynomial)
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* [arima](#arima)
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- autoregressive integrated moving average
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* [prophet](#prophet)
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- Facebook's prophet prediction
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* [mlp](#mlp)
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- MultiLayer Perceptron
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* [rnn](#rnn)
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- Recurrent Neural Network
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* [lstm](#lstm)
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- Long-Short Term Memory
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# overlap
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**Note:** _Use this at your own discretion. All of these prediciton techniques rely solely on the closing price of the stock. This means that there are several factors that the models aren't aware of at the time of prediction, and may - drastically - move the price up or down. Examples are: news, analyst price targets, reddit post, tweets from Elon Musk, and so on._
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## ema
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## sma <a name="sma"></a>
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## sma
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## knn <a name="knn"></a>
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## vwap
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## linear <a name="linear"></a>
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# momentum
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## quadratic <a name="quadratic"></a>
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## cci
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## cubic <a name="cubic"></a>
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## macd
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## regression <a name="regression"></a>
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## rsi
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## arima <a name="arima"></a>
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## stoch
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## prophet <a name="prophet"></a>
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# trend
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## mlp <a name="mlp"></a>
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## adx
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## rnn <a name="rnn"></a>
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##aroon
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# volatility
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## bbands
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# volume
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## ad
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## obv
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## lstm <a name="lstm"></a>
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