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Name: Jamel Harvey
Type: User
Bio: Cloud Architect | [email protected]
Location: Philadelphia
Name: Jamel Harvey
Type: User
Bio: Cloud Architect | [email protected]
Location: Philadelphia
In this project, I will use tools such as Deep Learning by incorporating sentiment from social media and news articles to help guide trading predictions.
I did a case study on the WeBull investment platform. This study looked at the technologies stacked behind the platform, the idea that spawned its creation, and the history of the founder.
In this project, I will use time series models to forecast the future outcome of the yen versus the US dollar.
In this project, I will apply natural language processing to understand the sentiment in the latest article featuring Bitcoin & Ethereum
In this project, the tools used are unsupervised learning (K-Means Clustering) accompanied by 3-D HVPlot visualizations to group cryptocurrencies by feature
In this project, I will use Python to convert the data into a script, I can manipulated the information on current & future Profit/Loss statements
For The Cause is a project based using a ERC20 token for crowd funding
In this project, I will use quantitative analysis techniques, such as Sharpe Ratio's to leverage algorithmic trading strategies
An optimized portfolio of crypto and stocks
Building an application using the Solidity software, results were tested on an Eth test network(Kovan)
In this project, I will use credit risk models to assess the credit risk using peer-to-peer lending. Algorithms such as SMOTE, Naive Random Sampling, etc.
For this analysis, we used computational linguistics and biometrics to systematically identify the trend using various news articles and closing prices using the "CoinGecko CSV & Crypto News API"!
In this project, I will use a Monte Carlo function to run a series of transactions for future portfolio results using their cryptocurrency and stock portfolio. Additional portfolio projections added.
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