Other orders - Python - new

We are building an BlockEstate-Real-Estate-DApp platform and are seeking developers to join in this innovative project based on Blockchain. This platform offers investors a direct, efficient way to trade securities by simplifying processes, cutting intermediary costs, and increasing transparency. It leverages blockchain for real-time settlement and strong security, while using AI to analyze data and predict market

I have a full trading strategy i want to develop to ctrader cbot, also have many projects that i want to get done. So need a life time developer that can work with me forever

Hey can you help me with our project now? We’re working on a Token DApp built on the Ethereum blockchain, incorporating both Presale and Staking functionalities. The development of the Presale’s front-end and back-end is nearly finalized, and our main priority has now shifted to integrating Staking features into the existing DApp

I have a strategy which i want to convert in Ctrader cbot, and also i have many other projects available. If you are an expert developer of ctrader kindly contact me now

📝 Project Description: I’m looking for an experienced developer to build a High-Frequency Trading bot that runs on TradeLocker . TradeLocker is a web-based trading platform used by multiple prop firms (e.g., MyFundedFX, FundedNext, etc.). The bot must be able to execute trades directly on the TradeLocker platform at high speed and frequency, bypassing the lack of official EA or API support. ✅ Requirements: Build a

Hello I'm building a real-time crypto poker game using React + Node.js (Express), and I need help integrating Verifiable Randomness (VRF) — ideally with Moonbeam or Chainlink. The VRF will be used for: -Card shuffling -Dealer assignment -Other fairness-critical logic If you have experience with Web3, VRF, and understand how to sync randomness with game state securely, I’d love to work with you. ✅ Skills Needed: VRF

develop a bot that will gather statistics for large orderbook densities on the OKX, Bybit, and Binance exchanges. The project can be divided into three stages, one stage per exchange. For development, it is preferable to use Python. The code must operate asynchronously. We will work with both futures and spot markets. For all detected densities, we analyze their lifetime, rebound percentages, and the volume traded at

I am looking for a professional to help me with backtest and optimize the ea perfectly I will also provide the tutoral to watch so you can understand how it works. pls kindly respond if you can do this professionally

O objetivo deste projeto é o de criar uma machine learning para rodar um expert advisor em mql4, usando as estratégias, indicadores e base de dados de diversos ativos financeiros, analisando as estratégias e percentagem de acerto com diversas variáveis, e optimizando os resultados do expert advisor, encontrando padrões no mercado aumentando assim a percentagem de acerto, a machine learning aprende com as estratégias