Iqbal 18 Zainal (yllvar)

yllvar

Geek Repo

Company:Decentralised

Location:Bangkok- Kuala Lumpur

Home Page:https://iqbal.uwu.ai/

Github PK Tool:Github PK Tool

Iqbal 18 Zainal's repositories

Snipe_PumpFun

Algorihmic method to execute sniping, perfom buy and sell using Pump Portal 3rd Part API

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Smart_Money_Follower

Using GMGN.ai API to analyze top performing SOLANA wallets.

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Deep-Probabilistic-Modelling-

Deep Probabilistic Modelling of Price Movements for High-Frequency Trading

gmgn_analyst

Analyze Pump.Fun Token Using GMGM.AI

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Pump.Fun-With-Pump-Portal

Pump Portal is a 3rd party websocket provider to interact with Pump.fun, a Solana Meme token trading ecosytem

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Ai_Pdf_Reseach

Using LangChain to create a Streamlit web application for querying and analyzing content from a PDF document. The application allows users to input questions related to the PDF content, and it provides relevant answers along with additional analysis.

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AiTweet

Twitter Bot for Cannabis Industry Insights uses openAi API to generate crypto, cannabis and nft related content to twitter

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aws-deployment-framework

The AWS Deployment Framework (ADF) is an extensive and flexible framework to manage and deploy resources across multiple AWS accounts and regions based on AWS Organizations.

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Brownian-Market-Maker

Adapting Avellaneda & Stoikov market making using ccxt for KuCoin

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buy-and-hold-vs-rsi

Compares the performance of a buy-and-hold strategy against a Relative Strength Index (RSI) based trading strategy using historical stock data from Yahoo Finance. The script analyzes the performance of these two strategies on Coca-Cola (KO) stock. Providing insights into their returns and risks.

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CCXT-Algo-Generator

LangChain CCXT Code Generator and Deployment on Vercel is a project designed to simplify the process of creating cryptocurrency trading algorithms

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deeplearning4j

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch,

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Financial-Machine_Learning

A curated list of practical financial machine learning tools and applications.

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FXCM_ML

Implements a deep learning-based forex trading algorithm designed to make buy and sell decisions in financial markets based on historical price data and real-time streaming data

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Interactive-Broker-SMA-Crossover

Trading On IKBR: SMA (Simple Moving Average) crossover. By analyzing the moving averages of asset prices, we can determine entry and exit points for our trades. The goal is to buy when the short-term moving average crosses above the long-term moving average and sell when the opposite occurs.

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j4nt4n

to build something awesome

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Kucoin-Futures-With-Finta-RSI

Kucoin Futures trading algorithm meant to execute LONG and SHORT order for Cryptocurrency Futures Market using RSI Threshold and RSI Divergency while dynamically setting SL and TP using BBands

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Kucoin_CryptoDataDownload

This Python script offers a streamlined solution for fetching historical data for cryptocurrencies traded on the KuCoin exchange, making it easier than ever to access the information you need to analyze market trends and make informed trading decisions.

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Limit_Pancake_GUI

it should be awesome for Pancakeswap automation

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multimodal-generative-ai-for-bpm

Contains dataset and source code for the thesis "Generative AI for Business Process Management - Suitability of Modalities". Aims to evaluate feasibility of generating structured process models from unstructured documents containing images and texts using multimodal LLMs

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mytonctrl

A tool to run and maintain a TON node/validator

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pytonapi

TonAPI SDK allows developers to build decentralized applications on top of the TON blockchain without having to deal with the complexity of the underlying technology.

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rag-tutorial-v2

An Improved Langchain RAG Tutorial (v2) with local LLMs, database updates, and testing.

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snekmate

State-of-the-art, highly opinionated, hyper-optimised, and secure 🐍Vyper smart contract building blocks.

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Stock-Prediction-LTSM

This project utilizes LSTM (Long Short-Term Memory) neural networks to predict stock prices for four different symbols: Apple (AAPL), Nvidia (NVDA), Google (GOOGL), and Amazon (AMZN). The LSTM models are trained using historical stock price data fetched from Yahoo Finance and evaluated based on various performance metrics.

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SWE-agent

SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4. It solves 12.29% of bugs in the SWE-bench evaluation set (comparable to Devin) and take just 1.5 minutes to run (7x faster than Devin).

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U2U-Chain-RPC-Scripts

This repository contains JavaScript scripts to interact with the U2U chain network using RPC (Remote Procedure Call) methods. Whether you're querying block information, executing contract calls, fetching chain IDs, or estimating gas for transactions, these scripts demonstrate how to achieve these tasks programmatically. WIP all the time

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U2U-Smart-Contract

In this tutorial, you'll learn to create your first smart contract with Hardhat – a full-featured development environment for contract compilation, deployment and verification.

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yew_solana_daap

Utilizing Yew, a Rust framework for client-side web applications, the project constructs interactive and reactive components. Key components include `PhantomConnect`, managing the connection to the Phantom wallet, and various UI elements like buttons.

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