deep-learningmonte-carlotrading-botlstmstock-marketstock-price-predictionseq2seqlearning-agentsstock-price-forecastingevolution-strategieslstm-sequencestock-prediction-modelsdeep-learning-stockstrategy-agentmonte-carlo-markov-chain UpdatedApr 16, 2023
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Table 3. Forecasting stock market implied volatility with financial reports tone disagreement: In-sample analysis with regime breaks. Table 4. Forecasting stock market implied volatility with financial reports tone disagreement: Out-of-sample analysis with the ENCNEW test. Table 5. Forecasting stock...
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Stock market forecasting is one of the biggest challenges in the financial market since its time series has a complex, noisy, chaotic, dynamic, volatile, and non-parametric nature. However, due to computing development, an intelligent model can help investors and professional analysts reduce the ri...
Big data has large volume, velocity and variety. The data is taken from social network, sensor, internet etc. It has stream of information and has both structured and unstructured and one petabyte of information is generated daily and the data's is not in an order. Stock market analysis is...
Forecasting directional movements of stock prices for intraday trading using LSTM and random forest - pushpendughosh/Stock-market-forecasting
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Forecasting is an important activity in finance. Traditionally, forecasting has been done with in-depth knowledge in finance and the market. Advances in computational intelligence have created opportunities that were never there before. Computational finance techniques, machine learning in particular, can ...
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