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REPO : https://github.com/rvndbalaji/StockMarketPrediction
Stock Market Prediction using Machine
This is a presentation on Stock Market Prediction application built using R.
This is a part of final year engineering project
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Stock Market Prediction using Machine LearningAravind Balaji
REPO : https://github.com/rvndbalaji/StockMarketPrediction
Stock Market Prediction using Machine
This is a presentation on Stock Market Prediction application built using R.
This is a part of final year engineering project
An intelligent scalable stock market prediction systemHarshit Agarwal
Comparitive study of stock market prediction system using ANN and GONN. Sentiment analysis also done on yahoo news feed. Deployment done on hadoop cluster.
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its a presentation on stock market analysis using Genetic algorithm with Neural networks ,based on a scientific paper
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A LINEAR REGRESSION APPROACH TO PREDICTION OF STOCK MARKET TRADING VOLUME: A ...ijmvsc
Predicting daily behavior of stock market is a serious challenge for investors and corporate stockholders and it can help them to invest with more confident by taking risks and fluctuations into consideration. In this paper, by applying linear regression for predicting behavior of S&P 500 index, we prove that our proposed method has a similar and good performance in comparison to real volumes and the stockholders can invest confidentially based on that.
its a presentation on stock market analysis using Genetic algorithm with Neural networks ,based on a scientific paper
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Software for Stock Market Prediction
1. <Эмблема>
SOFTWARE FOR STOCK
MARKET PREDICTION
Alexander MAKARENKO, Prof.,
Valeriy SOLIYA,
Institute of Applied System Analysis at National Technical University
of Ukraine (KPI),
37, Pobedy Avenue, 03056, Kiev- 56, UKRAINE
makalex@i.com.ua
2. MARKET PREDICTION
(CONTENT)
Model
We represent
Model Variants
the learning Advantage
software for Input parameters
modeling and Input data formats
prediction of Results of modeling
stock market Interface
behavior
3. MARKET PREDICTION
(MODEL)
ORIGINAL MODEL
FOR LARGE SOCIAL,
ECONOMICAL, POLITICAL,
SYSTEMS PROPOSED BY
prof. A.MAKARENKO
E-mail: makalex@i.com.ua ;
makalex@mmsa.ntu-kpi.kiev.ua
4. MARKET PREDICTION
(MODELS MODIFICATION)
Four model types for stock market prediction:
• multiplicative form of threshold function and constant
broker’s reputation matrix
• multiplicative form of threshold function and variable
broker’s reputation matrix
• additive form of threshold function and constant
broker’s reputation matrix
• additive form of threshold function and variable
broker’s reputation matrix
5. MARKET PREDICTION
(ADVANTAGES)
NEW!
Advantages
Predicting power
Accounting the collection of brokers behavior
Concrete results on brokers interaction in dynamics
Can easy operate with many brokers situation
Functional dependences which adequate
to real processes of broker interaction
6. MARKET PREDICTION
(INPUT PARAMETYERS)
• Brokers number at stock market;
• Broker’s reputation matrix;
• Broker’s financial resources ;
• Influence of broker’s intention on request;
• Initial requests vector;
• The training velocity and forgetting velocity
(for case of variable reputation matrix);
• Prediction horizon.
7. MARKET PREDICTION
(INPUT DATA FORMATS)
Dynamics of stock course
30
25
max
min
Closed
20
15
8. MARKET PREDICTION
(MODELING RESULTS)
• Broker’s request matrix for all time of negotiation
• Reputation matrix with changes (for model with variable
reputation matrix)
• Picture of requests dynamics at the time interval of
negotiation
• Picture of the ‘network energy’