yllvar
I like to build Excited with Blockchain | Algo Trading | Solidity | Javascript | Rust | Typescript | Python | Machine Learning, Defi,
DecentralisedBangkok- Kuala Lumpur
Pinned Repositories
-SUI-BatchPayment-
Another walkaround to perfrom bundling tx on SUI network using Move. Group multiple payment transfers into a single transaction to reduce gas fees.
Brownian-Market-Maker
Adapting Avellaneda & Stoikov market making using ccxt for KuCoin
compound-leverage
smart contract of leveraging yield farming on compound.finance
gmgn_analyst
Analyze Pump.Fun Token Using GMGM.AI
JupiterBot
Using Temporal to execute Solana Trade on Jupiter
Pump-Launch-Analysis
Analysis Tool is designed to monitor and analyze new token launches on the Solana blockchain, with a specific focus on detecting potential scams or risky tokens. The tool performs automated analysis of token metrics, website content, and social media presence to help identify red flags commonly associated with fraudulent projects.
pump-meta
Using NLTK to analyze the trending Meta from recent Pump.Fun launch, applying sentiment analysis and time series analysis to capture current meme hype
Pump.Fun-With-Pump-Portal
Pump Portal is a 3rd party websocket provider to interact with Pump.fun, a Solana Meme token trading ecosytem
Smart_Money_Follower
Using GMGN Smart Degen to analyze top performing wallet and rank it based on profitability and honeypot evaluation
Snipe_PumpFun
Algorihmic method to execute sniping, perfom buy and sell using Pump Portal 3rd Part API
yllvar's Repositories
yllvar/AiTweet
Twitter Bot for Cannabis Industry Insights uses openAi API to generate crypto, cannabis and nft related content to twitter
yllvar/Deep-Probabilistic-Modelling-
Deep Probabilistic Modelling of Price Movements for High-Frequency Trading
yllvar/MEV-FRONTRUN-BOT-BSC
This MEV Front Run searches for large transactions in the BSC mempool using wss provider pending Promise
yllvar/ob-imbalance-signal
Kucoin Futures trading signal using Weighted Order Book Imbalance With ATR and RSI to filter false signals
yllvar/WHAT-TO-TRADE
this flask project uses data from ccxt to analyse ohlcv for all symbol on kucoin futures market and printed oversolf and overbought symbols tht ready to be traded
yllvar/ai-notebooks
Some ipython notebooks implementing AI algorithms
yllvar/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.
yllvar/ai_readme_generator
AI Readme Generator reads any Git repository and suggests a README.md or a Pytest-based test file from the repository code, using Langchain and OpenAI GPT-4 or GPT-3.5-turbo.
yllvar/binance-public-data
Details on how to get Binance public data
yllvar/BTC_LTSM_Fear_Greed_Prediction
BTC_LTSM_Fear_Greed_Prediction
yllvar/Bursa-Malaysia
yllvar/CCXT-Algo-Generator
LangChain CCXT Code Generator and Deployment on Vercel is a project designed to simplify the process of creating cryptocurrency trading algorithms
yllvar/escrow-service-bot
Cryptocurrency-Escrow-Telegram
yllvar/Financial-Machine_Learning
A curated list of practical financial machine learning tools and applications.
yllvar/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
yllvar/HFT_MM
HFT Market Making Model for Multiple Exchange Using CCXT
yllvar/High-Frequency-Trading---Pair-Trading
This project includes two different methods in pair trading, The first part will introduce the strategy and the model fitted, following by finding optimal trading weights and optimal wealth process. There will be also the comparison between the optimal and the static control pair.
yllvar/j4nt4n
to build something awesome
yllvar/KLSE_LTSM_Autoencoder
This project uses historical data of Kuala Lumpur Stock Exchange to identify trade anomalies using LTSM
yllvar/Kucoin_Logistic_Regression
Yes, the code provided is suitable for use in a Jupyter Notebook environment. You can run this code cell by cell in your Jupyter Notebook just like any other Python code.
yllvar/Limit_Pancake_GUI
it should be awesome for Pancakeswap automation
yllvar/OBI_RFclassifier
Random Forest Classifier over Kucoin Futures Order Book Imbalance Data and RSI
yllvar/pancakswap-prediction
bot uses machine learning to predict pancakeswap prediction
yllvar/Quant_V1
Protoptye V1
yllvar/Solana-Shitcoin-Analyzer
Analyse the token using the pair name or pair address
yllvar/Statistical-Arbitrage
High-frequency statistical arbitrage
yllvar/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.
yllvar/test-ton
testing ton telegram twa
yllvar/vanilla-js-boilerplate
vanilla-js-boilerplate
yllvar/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.