Stock Market Prediction Using Python

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Title: Stock Market Prediction Using Python

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Title: Stock Market Prediction Using Python SENIOR DESIGN PROJECT PROPOSAL REQUIREMENTS Note: For senior projects involving more than one student, a proposal is required of each participant. In order to develop the proposal, it is necessary to perform a research/review of the technical literature. This review is your responsibility and is to be done independent of your senior project advisor. You will continue this review in EEGR 491, Senior Project II, as required by your project advisor. 1. Objectives: The proposal should provide sufficient information to persuade your project advisor that the proposed work represents an approach to a design project that satisfies the objectives for the Senior Project, EEGR 491, described in the syllabus. The proposal should reflect work that the student and advisor agree to and are prepared to accomplish, and have the resources to complete. 2. Proposal Formatting: Proposals should be processed on standard 8.5"X 11" paper using Microsoft Word and the IEEE Project Report Template. Please utilize the times roman font, size 10 or 12. 3. Format: a. Cover Sheet. A cover sheet should be provided using the attached format. b. Table of Contents c. Project Abstract. On page 2 of the proposal, a technical abstract should include a brief description of the project objectives and description of the effort. Anticipated social or economic benefits, and technical advancements from the proposed work should also be summarized. NOTE: Project summaries may be compiled and published for Department and/or unlimited distribution, as may the follow-on effort. The summary should be as informative as possible without exceeding a limit of about 250-300 words. d. Body. The body of the proposal shall include the following sections in the order shown. 1. Identification & Significance of the Problem or Study Focus Area. Define the specific technical problem or study opportunity and its importance or relevance to society, technology, product development, etc. 2. Technical Objectives. Enumerate the specific objectives of the work, including the questions it will try to answer and/or it will attempt to demonstrate. 3. Project Plan, Trade Offs, & Schedule. Provide a description of the design project work and approach. The effort should attempt to determine technical feasibility and demonstrate or otherwise meet outlined objectives. The methods planned to achieve each objective or task should be discussed. The plan shall include a schedule of activities and events that include as appropriate: Initiation of the effort by student and advisor Additional research/review of technical literature Outline for project report Ordering necessary supplies or equipment with timeline for procurement Begin/end design activity Begin fabrication/test/evaluation/analysis Begin/end draft report Begin/end of final report Begin/end of Presentation Approval of project report Dry Run of presentation Schedule reserve Estimate of the amount of hours per week needed to complete the task or subtask The Project Plan shall be implemented in a format agreed upon by your instructor and advisor (Preferably MS Project). Your final project report must effectively address design trade-offs and evaluation including at least five of the following: economic; environmental; sustainability; manufacturability; ethical; health and safety; social; and political considerations. Be sure to include in the proposal as appropriate. **NOTE: Items to be delivered in EEGR491 include: a comprehensive technical report (fit for publication), the project design/model/prototype, the design project checklist, and the senior project presentation. 4. Qualifications. A concise resume of the student investigator must be included. The resume shall contain both academic and practical experience in desired area necessary to accomplish the proposed work. Provide a brief narrative of key qualifications that will allow you to do the proposed activity. If this is a collaborative effort, the responsibilities of each participant shall be identified. Technical support other than the advisor shall be identified. 5. Facilities/Equipment. Describe available instrumentation, physical facilities, and supplies necessary to carry out the effort. 6. Budget. List items of equipment/supplies to be purchased to support the effort and include the funding source (i.e. provided by advisor or self sponsored) 7. References. Cite all papers, texts, and other technical documentation you will use to support your work, at least half of which must be non-URL sources. 8. Appendix. In order to develop the proposal, it is necessary to perform a research/review of the technical literature. This review is your responsibility and is to be done primarily independent of your senior project advisor. Attach copies and/or summaries of your literature review in the appendix Abstract “This project is to build a model to predict the future stock market movement’s (up and down) by using one of the machine language.” Hassan Alqahtani, Mohammed Endris & Yonas Yimer (Advisor: Dr. Mulugata Dugda), B.S.E.E., School of Engineering, Morgan State University, Baltimore, MD 21251.Stock market prediction is the art of determining the future value of a company stock or other financial instrument traded on an exchange. It is a real challenge for analysts and traders to predict the trends of stock market due to its uncertain nature. Stock prices are likely to be influenced by the factors like product demand, sale, manufacture, investor’s sentiments, ruling government, recession etc. The successful prediction of a stock’s future price could yield significant profit. The main idea is to use world major stock indices as input features for the machine learning based predictor. We used the previous stock market history to predict the future prices of the stock markets. The factors that cause up and down of the stock price are main inputs to our model. The main aim of this paper is to design an efficient model which will accurately predict the trend of stock market using computer programing language. This model will make easy for the investors and individual who want to know the future stock market movement. Trade offs Project – model to predict the stock market Which computer programming language is better for designing the model of stock market prediction? Trade offs • Python • Java • C++ Opportunity cost 1. Concise Python can express much in a few programs than java. Java requires developers to write longer lines of code to accomplish common programming tasks.so, selecting python than java in our project gives us a concise use of code. 2. Dynamic typing Python uses dynamic typing, which allows us to change the type of variables, by replacing an integer with a string. on the other hand, java uses static typing which will not allow to change the type in the program. We decided to use python on our project because python allows us to use many variables dynamically. 3. Speed Python has clean object-oriented design, provides enhanced process control capabilities, and possesses strong integration and text processing capabilities and its own unit testing framework, all of which contribute to the increase in its speed and productivity. Python programs run faster than java programs. 4. Complexity Python is extremely easy to learn and read. Python code is not that far off from actual English. Python offers excellent readability and uncluttered simple-to-learn syntax which helps beginners to utilize this programming language. 5. Extensive Support Libraries: Python provides large standard libraries that include the areas like string operations, Internet, web service tools, operating system interfaces and protocols. Most of the highly used programming tasks are already scripted into it that limits the length of the codes to be written in Python. we chose python to access to this extended support libraries. 6. Integration Feature Python processes XML and other markup languages as it can run on all modern operating systems through same byte code. It makes python able to run in all programming environments. Conclusion The decision of using python as our programming language was made after looking the advantage and disadvantage of a major computer programming languages.Python is a robust programming language and provides an easy usage of the code lines, maintenance can be handled in a great way, and debugging can be done easily too. It has gained importance across the globe. Title: Stock Market Prediction Using Python Take a look at the following web links: (Make sure to look at all the 6 parts) 1) http://francescopochetti.com/stock-market-prediction-part-introduction/ 2) http://francescopochetti.com/stock-market-prediction-part-ii-feature-generation/ 3) http://francescopochetti.com/part-iii-scikit-classification-algorithms/ 4) http://francescopochetti.com/part-iv-modelfeature-selection/ 5) http://francescopochetti.com/part-iv-results-test-set/ 6) http://francescopochetti.com/part-vii-backtest-portfolio-performance/
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hope this is enoughI have given you early so that you may correct mefeel free to consultthank you for trusting in me

Stock Market Prediction Using Python

Stock Market Prediction Using Python
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Institution

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Stock Market Prediction Using Python

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TABLE OF CONTENTS
PAGE
Acknowledgement ..........................................................................................................................3
Project summary ..............................................................................................................................4
Project aims .................................................................................................................................. 4-5
Background ................................................................................................................................. 6-7
Analysis of need ..............................................................................................................................8
Design Criteria .......................................................................................................................... 9-10
Analysis of alternative solutions ...................................................................................................10
Research plans ..............................................................................................................................11
Reference ......................................................................................................................................12

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Acknowledgement

I would like to give my special gratitude to my lecturer (include name) who gave me the
encouragement to write the program. The support I received was intensive and very helpful. I
cannot forget my fellow class mates who helped me in coming up with the idea and created it
to the point where it is today.

I would also like to thank my parents and several other friends who participated and helped a
lot in finalizing this project

In simple words, thank you.

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Project summary
The main purpose of this is to that we want to create a model in which we will be able
to predict the financial market's progress. The model that we wish to create will enable us to
be able to predict the futures exchange closing prices and whether they are increasing or they
are decreasing. It is also used to make sure that we
The idea at the base of this project is to build a model to predict financial market's
movements. The forecasting algorithm aims to foresee whether the price has the potential of
increasing with time. We will do this by increasing our study and making sure that we come
up with the required formats using our python program. The reason we chose python is that it
a very efficient program and is relatively easy to understand. It is very clear and the results
that it yields are always to be trusted and to be trusted.
Project aims
We all have to agree that human being is prone to becoming tired and...


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