Dynamic Trading Strategy Design ( USING PYTHON )
$250-500 USD
货到付款
DUE DATE: MAY 3,2024
Dynamic Trading Strategy Design:
• will provide auxiliary materials ( 2 files ) and Jupyter Notebooks (“ Regression for Pair [login to view URL]” are related to this project.
• Design an improved version of the pairs trading strategy (will share with freelancer chosen) by including more stocks in your strategy.
• You can consider using the top 100 stocks ([login to view URL]) and
their daily close price during the period of 2019 - 2020 [Note: you may not have access
to all the stocks from Yahoo Finance during this period; please explain how you handle
this issue].
• Explain whether dimension reduction techniques are needed.
• Explain how you measure the performance.
• Please show both the in-sample and out-of-sample performance.
• Show evidence that the strategy you develop is profitable.
• Compare the out-of-samp
General Instruction:
• We would like you to on the one hand, approach the problem from a practical perspective,
and on the other hand, have a systematic methodology. You are encouraged to go beyond the
requirements mentioned and use the quantitative techniques you have to solve the problems.
• The final report is expected to contain the following components:
– Introduction to the dataset you use, the data format and the steps you perform for data
pre-processing.
– Brief introduction to the models you use in the project.
– Detailed discussion for the model evaluation: proper choice of evaluation criterion (or
loss function), out-of-sample test, comparison to benchmark models.
– Detailed explanation on how model parameters are selected.
– Detailed explanation of your results.
– Discussion on financial interpretation or economic insights of your model.
– A conclusion paragraph to summarize the methodology and your results.
– *Optional* If you explore some other related aspects for the project of your choice,
extra credits (up to 20 points to the final grade) will be granted based on the quality
of the additional materials. If you decide to do some extra work, please clearly
indicate what is additional in your report.
• Do not include your codes in the report (nor attach them at the end). Codes should be
submitted via a separate submission channel on Blackboard.
• Page limit: minimum of 3 pages and maximum of 10 pages.
• You can use the Python codes on Blackboard or any open-sourced codes you find online.
Please acknowledge the source in your report if you use open-sourced codes.
项目ID： #38030119
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有19名威客正在参与此工作的竞标，均价$528/小时
Hello Good morning , I just finished reading the job description . I see you are looking for someone experienced in developing products using Finance, Financial Research, Financial Analysis, Python and Machine Learning 更多
With over a decade in the industry and an intimate knowledge of Python, I come equipped to take your dynamic trading strategy game up a notch. I understand and value the practical perspective in optimizing your strateg 更多
I am proficient with Python and will assist you perfectly with the requirements, let me know when we can connect to discuss this further and get started working on it ASAP. Looking forward to working with you
Hi Lana A., How are you doing? As a professional developer with expertise in Python, Financial Research, Financial Analysis, Machine Learning (ML) and Finance, I eagerly anticipate the opportunity to complete this proj 更多
You're looking to enhance your pairs trading strategy by incorporating more stocks, utilizing data from the top 100 stocks from 2019 to 2020. To address the potential issue of limited data accessibility, I'll leverage 更多
How are you? I hope this proposal finds you in good spirits and ready for some fun! I have extensive skills at Python, Financial Research, Financial Analysis, Finance and Machine Learning (ML) We are thrilled to submi 更多
Hi Mate, As an IT expert, I can assist in designing an enhanced pairs trading strategy utilizing more stocks, leveraging auxiliary materials and Jupyter Notebooks provided for the project. By incorporating data from t 更多
