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Investment App

₹12500-37500 INR

Closed
Posted about 5 years ago

₹12500-37500 INR

Paid on delivery
The app will look at the stock market use data analytics and sentimental analytics and do prediction and also suggest investment in the stock and connect with trading platform and do investment on behalf of the Customer. It needs to be build in Python, Perform Sentiment analysis from news articles posted on web about individual companies/sectors. The scope of data collection would also include BSE corporate announcements, earning transcripts of companies and price-volume information about the stock. Once the trading parameters are met with confidence above a threshold, the python code would handshake with zerodha/other API based platform to place trade vs manual interference which would prevent human emotion based actions
Project ID: 18656180

About the project

8 proposals
Remote project
Active 5 yrs ago

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8 freelancers are bidding on average ₹30,757 INR for this job
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Hello! I am a python developer. I looked at your project and it seems interesting. I have all necessary skills required for this project. Ping me to discuss in detail.
₹25,000 INR in 2 days
4.7 (34 reviews)
5.6
5.6
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We specialize and have 20 years of experience in Desktop/Web/Mobile application development. We provide our expert service in the following areas: • Artificial Intelligence • Automation Solutions • Data Science • Machine Learning • Web Development • Software development Technologies/Languages: Python, C#, Mongodb, Mysql, MS Sql, Aws, Azure etc. We do possess a proficient in-house team working for us having expertise in Python , Analytics, and software development . We are capable to work on your project.
₹37,500 INR in 10 days
4.9 (2 reviews)
4.6
4.6
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Hello, I have extensive experience in python, machine learning, financial markets, working for hedge funds, and would love to help you out on this project. I also obtain a Masters in financial mathematics. Credentials are below: My alternate page, where I conduct many other ongoing client projects, can be viewed at: https://www. f i v e r r .com/maysamk19 * Responsible for creating proprietary quantitative models and algorithmic trading strategies for long/short equity optimization models with specific risk and return parameters specified by the investor profile, utilizing machine/deep learning, along with Q reinforcement learning agents. •Created predictive vectorized/event-based machine learning models utilizing multivariate/logistic regression, lasso/ridge regression, linear/quadratic discriminant analysis, decision trees, K neighbors, Naive Bayes, random forest, support vector machine, Adaptiveboost, GradientBoost, XGB, and portfolio optimization to maximize return and minimize volatility for various investor risk profiles. •Responsible for deep learning modeling using recurrent neural networks, Tensorflow, nltk, sentiment analyzer, Keras LSTM, and convolutional neural networks, in attempt to predict specific asset class forecasted prices through stocks, forex, bonds, futures, ETFs, and other derivatives. •Designed a proprietary machine/deep learning long/short intraday algorithm utilizing the Interactive Brokers API, IB_Insync python library. Speak soon!
₹37,444 INR in 10 days
5.0 (8 reviews)
4.1
4.1
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Saludos pretendo ayudarte con tu proyecto de manera rápida y te lo explicare como se lo realizo paso a paso .
₹27,777 INR in 10 days
0.0 (0 reviews)
0.0
0.0

About the client

Flag of INDIA
Kanchepuram, India
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Member since May 11, 2013

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