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Open source the work of [DyShard: Towards Dynamic Blockchain Sharding via State Migration] modified from Harmony-One
Shardora: A Dynamic Blockchain Sharding System with Resilient and Seamless Shard Reconfiguration
Dealers' gamma exposure (GEX) tracker
Advanced GAS Price Level Indicator combines machine learning-inspired alpha factors with traditional technical analysis, providing adaptive, correlation-weighted signals for high-probability tradin…
The use of Geometric Brownian Motion in modeling stock movements (stochastic methods).
Shardeum is an EVM based autoscaling blockchain
Developing a Real-Time Financial Analysis & Trading System
A collection of PineScript strategies and indicators for TradingView. Ready-to-use scripts for algorithmic trading and technical analysis
Quantitative Trading with Tradingview Pinescript
This repository demonstrates how to create a simple **Moving Average Crossover strategy** in TradingView using Pine Script, send alerts (Buy/Sell signals), and optionally process them using a Pytho…
Hi I'm Gabriel Zenobi, this is a toolkit that I developed for investment funds, banks and traders of all kinds.
Mind Network Token Smart Contract and Audit Report
Smart contract for automated trading on Pump.fun and Raydium DEXs. Features token buying/selling, smart routing between DEXs, and MEV protection against frontrunning attacks. Built on Solana blockc…
Solana Pumpfun smart contract & Frontend & Backend
Code and wrapper to extract Ethereum blockchain functionalities without network/consensus, for building custom blockchain services.
Rithmic (rapi) API Orderbook winforms application futures
NSE Stock Price Prediction & Investment Decision Support A Streamlit-based app that predicts NSE stock prices using an ARIMA model. It provides future price forecasts, interactive charts, date sele…
1. First we fetch data of stocks in realtime from nse India website, perform basis data visualizations using python to analyze the stock. 2. Then we use machine learning LSTM technique to predict t…
Using Transformer deep learning architecture to predict stock prices.