Stock market prediction

fundamental analysispredicting stock valuesstock price prediction
Stock market prediction is the act of trying to determine the future value of a company stock or other financial instrument traded on an exchange.wikipedia
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Stock

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Stock market prediction is the act of trying to determine the future value of a company stock or other financial instrument traded on an exchange.

Financial instrument

financial instrumentsinstrumentinstruments
Stock market prediction is the act of trying to determine the future value of a company stock or other financial instrument traded on an exchange.

Exchange (organized market)

exchangeexchangestrading venue
Stock market prediction is the act of trying to determine the future value of a company stock or other financial instrument traded on an exchange.

Efficient-market hypothesis

efficient market hypothesisefficient marketmarket efficiency
The efficient-market hypothesis suggests that stock prices reflect all currently available information and any price changes that are not based on newly revealed information thus are inherently unpredictable.

Burton Malkiel

Burton G. MalkielBurton Gordon Malkiel
Burton Malkiel, in his influential 1973 work A Random Walk Down Wall Street, claimed that stock prices could therefore not be accurately predicted by looking at price history.

A Random Walk Down Wall Street

Burton Malkiel, in his influential 1973 work A Random Walk Down Wall Street, claimed that stock prices could therefore not be accurately predicted by looking at price history.

Fundamental analysis

fundamentalfundamentalseconomic fundamentals
They are fundamental analysis, technical analysis (charting) and technological methods.

Technical analysis

Technical analysis softwaretechnicaltechnical analyst
They are fundamental analysis, technical analysis (charting) and technological methods.

Account (bookkeeping)

accountaccountsaccompts
They evaluate a company's past performance as well as the credibility of its accounts.

Price–earnings ratio

P/E ratioprice-to-earnings ratioP/E
Many performance ratios are created that aid the fundamental analyst with assessing the validity of a stock, such as the P/E ratio.

Warren Buffett

Warren E. BuffettWarren BuffetWarren Edward Buffett
Warren Buffett is perhaps the most famous of all Fundamental Analysts.

Text mining

text analyticsTextminingtext and data mining
Another meaning of fundamental analysis is beyond bottom-up company analysis, it refers to top-down analysis from first analyzing the global economy, followed by country analysis and then sector analysis, and finally the company level analysis.

Time series

time series analysistime-seriestime-series analysis
They seek to determine the future price of a stock based solely on the trends of the past price (a form of time series analysis).

Head and shoulders (chart pattern)

head and shouldershead and shoulders formationsHead and shoulders top and bottom
Numerous patterns are employed such as the head and shoulders or cup and saucer.

Moving average

exponential moving averagesimple moving averageWeighted moving average
Alongside the patterns, techniques are used such as the exponential moving average (EMA), oscillators, support and resistance levels or momentum and volume indicators.

Computer

computerscomputer systemdigital computer
With the advent of the digital computer, stock market prediction has since moved into the technological realm.

Artificial neural network

artificial neural networksneural networksneural network
The most prominent technique involves the use of artificial neural networks (ANNs) and Genetic Algorithms(GA).

Function (mathematics)

functionfunctionsmathematical function
Scholars found bacterial chemotaxis optimization method may perform better than GA. ANNs can be thought of as mathematical function approximators.

Feedforward neural network

feedforwardfeedforward neural networksfeedforward networks
The most common form of ANN in use for stock market prediction is the feed forward network utilizing the backward propagation of errors algorithm to update the network weights.

Backpropagation

back-propagationback propagationbackpropagate
The most common form of ANN in use for stock market prediction is the feed forward network utilizing the backward propagation of errors algorithm to update the network weights.

Recurrent neural network

recurrent neural networksrecurrentSimple recurrent network
Another form of ANN that is more appropriate for stock prediction is the time recurrent neural network (RNN) or time delay neural network (TDNN).

Time delay neural network

time-delay neural networkTime-lag recurrent network
Another form of ANN that is more appropriate for stock prediction is the time recurrent neural network (RNN) or time delay neural network (TDNN).

Tobias Preis

Tobias Preis et al. introduced a method to identify online precursors for stock market moves, using trading strategies based on search volume data provided by Google Trends.

Google Trends

GoogleGoogle Hot TrendsGoogle Music Trends
Tobias Preis et al. introduced a method to identify online precursors for stock market moves, using trading strategies based on search volume data provided by Google Trends.

Google

Google Inc.Google, Inc.Google LLC
Their analysis of Google search volume for 98 terms of varying financial relevance, published in Scientific Reports, suggests that increases in search volume for financially relevant search terms tend to precede large losses in financial markets.