Dmitry Bely
Winning proposal- Projects 233
- Rating -
- Rating 1 741
Budget: 1950 RUB Deadline: 1 day
Good day
We are prepared to discuss the details of cooperation within this project.
Budget: 370 UAH Deadline: 1 day
Good day ! I am professional in SEO optimization, so I have experience writing interesting texts. He has translated many scientific and other articles into English. I have semantic nuclei. The collaboration will be interesting.
Viber: +380985124400
by Skype: hrom.ri
Email: [email protected]
Budget: 1000 RUB Deadline: 1 day
Hello to you! I carried out such projects. Free English .
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Current freelance projects in the category Cryptocurrency & Blockchain
It is important to start - TODAY I need a person who has experience in writing trading bots on DEXs (needed on the BSC network) with an understanding of transaction costs, gas, etc. I want to test several trading strategies on a real trading agent I need to quickly develop an autonomous trading agent that uses the Trust Wallet and CoinMarketCap APIs to execute trades on the BNB Chain (BSC) based on 3–5 embedded strategies. Technology stack (mandatory) - Trust Wallet Agent Kit (TWAK) — for self-custodial signing and executing transactions (https://portal.trustwallet.com) - CoinMarketCap AI Agent Hub — for obtaining market data and signals (https://coinmarketcap.com/api/agent) - BNB AI Agent SDK — for quick integration (https://github.com/bnb-chain/bnbagent-sdk) Functional requirements Data (CMC AI Agent Hub) - Data retrieval via MCP or x402 (https://coinmarketcap.com/api/agent) - Use of ready-made Skills for RSI, MACD, Fear & Greed, volumes Execution (Trust Wallet Agent Kit) - Local signing of transactions — keys remain with the user (https://portal.trustwallet.com) - Autonomous mode: the agent signs and sends trades by itself - Limitations: drawdown, daily limit, stop-loss, token whitelist - Use of x402 for payment of data/computations Strategies - Implement 3–5 described strategies with the ability to switch between them - Examples: combination of funding rates + Fear & Greed, DCA based on sentiments with filters Technical requirements - Language: Python (preferred) or TypeScript/JavaScript - Tools: TWAK CLI, CMC CLI, BNB AI Agent SDK Who can take this on?