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A dashboard developed to visualize Stocks with multiple interactive plots.

Home Page: https://findash1729.herokuapp.com/

Python 10.31% HTML 1.80% JavaScript 47.74% CSS 40.15%

algorithms data-science machine-learning python python3

findash's Introduction

Hi :)

🤔 About Me

🚀 Have a thing for Full stack dev. Digging into OSS and COSS
🔭 Contributing work in Web Dev, Web3 & Blockchain, ML, Data Science applications.
👯 Would love to go for a competition, collaborate and work on exciting stuff with other people

Projects	Hackathons	Description
BlockBatch SDK	ETHGlobal, Superhack'24, Won Blockscout bounty 🏅	Environment agnostic SDK for enabling native and ERC20 batch transactions over EVM chains
LensMaxi	ETHIndia'22, Won Lens Protocol Best Use 🏅	Maximizing content impact with token streaming
XStream	ETHForAll'23, Won Superfluid + Connext Best Overall and Best Cross-chain dapp 🏅	A cross-chain token streaming solution
Blockoverflow	ETHernals'22, Top 10 projects, Won ETHIndia Grants 🏅	Real-time incentive payment system with streams for contributions and work among peers
Macha SDK	FVM Dataverse Hack'23, Spheron track winner 🏅	Indexer coupled SDK that simplifies data access from EVM chains

Top/Recent Articles

Articles	Description
AAVEv3 Price Change Simulation Project Tutorial	Simulation of sudden price change on the AAVE v3 liquidity protocol and see how it affects the users health factor in the market
State Channels- Off Chain Transactions?	Workings of a state-channel to process transactions off-chain
Ethereum Gas: What is it? How does it work?	Giving inside understanding of how Gas works in a blockchain transaction
Why are miners rewarded?	Understanding mining in PoW mechanism and rewards.

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You can reach me at the email in my github profile. Follow my socials!

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findash's People

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rohan337 webclinic017

findash's Issues

Add scripts for Algorithmic Trading Strategies

Create, refer and develop to contribute algorithms for trading strategies in your project folder.

Add Scripts for Machine Learning applications

Alternative of downloading the stock data every time from yfinance python module.

Currently we have to download the stock data every time we refresh the page or relaunch the server. Instead we could save it as a CSV file and read it using pandas.

Resizing the plots

How do I resize and change the styling of the plots which are rendered in the Django webpage. Figure out a way to use CSS or some styling property in Plotly plots like candlesticks, scatter etc.

How to plot multiple graphs on the same webpage without rendering the whole page again?

Initially say we plot the candlestick graph for a dataframe and now I want to plot a rolling mean graph below without rendering the whole page again. The reason behind this is as I already have the DataFrame data loaded from yfinance, it will be a waste of time if I do it again for every plot.

Consider something asynchronous solution, possibly using AJAX to plot the graphs.

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