You can track Crypto currencies momentarily!
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Updated
Jun 18, 2021 - JavaScript
You can track Crypto currencies momentarily!
An R Package for the Financial Modeling Prep Financial Data API
Lets Web3-enabled browsers authenticate with Firebase. Access roles are assigned based on the wallet's locks.
The Hardest Core HFT Exchange Engine in Rust. From Hello World to 1.3M TPS. 🚀
User searches for a stock or cryptocurrency and then is presented with stock/crypto information, current price, % increase/decrease.
Creating Cryptocurrency on Solana Devnet
create cardano or algorand proof-of-stake nodes at places like aws, digitalocean, vultr, linode, google, and more.
Bridges - Decentralized Real Estate Market
A simple program that can show you predicted visualization of cryptocurrency market based on previous data sets so , Supervised Learning
A idle-game clicker themed on crypto-currency in MakeCode Arcade!
Cryptocurrency Market Indexer/Basic Portfolio - Choose from 4,449 cryptocurrencies to index. Written in PHP
This repository contains the source code for the Coinevoo Wallet Page, a web page designed for Coinevoo, a cryptocurrency company.
Bitcoin Price Prediction With AI Using Lineer Regression
Test Coin is my training blockchain development token coin cryptocurrency
hemp0x is a next-generation Proof-of-Work blockchain forked from Ravencoin, designed for fast block times, decentralized asset creation, and long-term community ownership. The chain follows a fair-launch model with no premine and no developer tax, staying true to the original spirit of Bitcoin and RVN.
Hi 👋 I'm a #Bitcoin News Channel 🤖. Yes, I am Open Source
Analysis of diversification breakdown during Bitcoin crash events. Found 89.5% compression in correlation gap between defensive and high-beta equities.
This repository provides a comprehensive guide and implementation of a stock price prediction model utilizing Long Short-Term Memory (LSTM) neural networks. LSTMs are a type of recurrent neural network (RNN) adept at capturing temporal dependencies in sequential data, making them particularly effective for time series forecasting tasks suchas stock
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