stock selection method in stock exchange is an important issue for investors in such markets. investors will gain benefits more than market average provided that they make logical decisions while selecting stocks. the issue of stock selection in markets like tehran stock exchange (that are not so efficient) is requires more attention of the investors as there is not a suitable equilibrium betwe...

technical analysis is the forecasting of future price movement based on an examination of past prices. some scientist found that the study of historical prices cannot predict future prices. in this research we intend to study which technical analysis tool is better for prediction of future price movement, for this purpose we are studying two the most strongest technical analysis tools is called...

The present research proposes an automatic system based on moving average (MA) and fuzzy logic to recognize technical analysis patterns including head and shoulder patterns, triangle patterns and broadening patterns in the Tehran Stock Exchange. The automatic system was used on 38 indicators of Tehran Stock Exchange within the period 2014-2017 in order to evaluate the effectiveness of technical...

In this research, we proposed a new metaheuristic technique for stock portfolio multi-objective optimization employing the combination of Strength Pareto Evolutionary Algorithm (SPEA), Adaptive Neuro-Fuzzy Inference System (ANFIS) and Arbitrage Pricing Theory (APT). To generate the more precise model, ANFIS has implemented to envisage long-term movement values of the Tehran Stock Exchange (TSE)...

the stock selection problem is one of the major issues in the investment industry, which is mainlysolved by analyzing financial ratios. however, considering the complexity and imprecise patterns ofthe stock market, obvious and easy-to-understand investment rules, based on fundamental analysis,are difficult to obtain. fundamental and technical analyses are two common methods for predictingthe fu...

The indian stock market is highly volatile and complex by nature. However, notion of price predictability typical, many researchers suggest that the Buy & Sell prices are predictable investor can make above-average profits using efficient Technical Analysis (TA).Most earlier prediction models predict individual stocks results mostly influenced company’s reputation, news, sentiments other fu...

One of the most important problems in modern finance is finding efficient ways to summarize and visualize the stock exchange market. This research proposes a smart algorithm by means of valuable big data that is generated by stock exchange market and different kinds of methodology to present a smart model.In this paper, we investigate relationships between the data and access to their lat...

In this paper we try to apply Technical Analysis methodology into the Behavior Theory for the large capitalization firms of the Athens Stock Exchange (ASE). In Behavioural and in Technical Theory we observe a combination between fundamental (rational) and psychological – emotional (irrational) factors. We use standards tests in combination with bootstrap methodology under the AR(1) & GARCH(1,1)...