Python Developer for Automated Trading Bot (Polymarket API Integration)

@iosifpeterfi

Hello - your goal to automate Polymarket trading with reliable market data, secure balance handling, and a clean, configurable script that runs hands-off on a VPS is exactly what I design for. This is my speciality: building robust API wrappers and modular strategy scaffolds that let you swap logic without touching the API surface. I'm Iosif Peterfi, 15+ years guiding teams from Europe/Berlin. Portfolio: https://www.freelancer.com/u/iosifpeterfi Your project will deliver tangible business value: faster go-live, reduced risk through guardrails and clear config, auditable logs, and a reusable framework you can extend with new strategies. I'll provide a robust API wrapper for quotes, depth, history, and account actions; a modular strategy engine scaffold with well-commented hooks for future market-making, arbitrage, or trend-following logic; configurable risk controls via YAML/JSON; comprehensive logging and alerting; a backtest mode using historical data; and deployment-ready artifacts plus a concise README for quick Ubuntu rollout. Similar project story: Recently I delivered a Python automation layer for a fintech market-data client. We built a unified wrapper and a strategy scaffold, enabling a fast go-live and reducing manual checks by a meaningful margin, while improving reliability and trade traceability. Let's chat - I can walk you through my approach in 15 minutes.

@Kavita9166

I am Rajesh, a Full-Stack Developer with 10+ years of experience in Python-based trading bot development. You don’t just need API wiring—you need a fault-tolerant, modular system where market data, execution, and risk controls stay isolated so strategy changes never break core trading. I’ll build an async Python wrapper (REST/WebSocket) for Polymarket covering order books, trades, and account actions, then layer a clean strategy engine scaffold with plug-and-play modules. Config-driven risk controls (YAML), structured logging + Slack/email alerts, and a backtest pipeline using identical execution paths will be included. I’ll also containerize it for VPS deployment and validate via testnet (3 markets + dummy order flow with trade ID). I’ve built similar automated trading systems with resilient execution layers. I can start immediately and deliver a clean, reliable solution. Thanks, Rajesh Jangid Full-Stack Developer | 10+ Years Experience

@Algokage

Hello, I can deliver a Python-based trading bot integrating Polymarket API with robust endpoints for market data, order placement, and balance management. I’ll create a modular strategy engine, config & risk controls via YAML/JSON, logging & alerting, backtest mode, and deployment-ready setup with Dockerfile or requirements.txt. My approach ensures clean, extensible code using async Python and requests/websockets. With 5+ years of experience, I’ll meet your acceptance criteria efficiently. Send a message to discuss further or see samples of similar projects. Thanks, Adegoke. M

@nicolasalexandro

I can build a reliable Python-based trading bot that integrates seamlessly with the Polymarket API and automates your trading logic end-to-end. This includes handling authentication, market data retrieval, order placement, and basic risk controls tailored to your strategy. I’ve previously developed automated trading tools using Python for crypto and prediction markets, working with REST and WebSocket APIs, order routing, and position tracking. That experience helps ensure the bot is both robust and easy to extend as your strategies evolve. My approach would be to first define your trading rules and risk parameters, then design a clear modular structure for data ingestion, signal generation, and execution. I’d also add logging, error handling, and simple monitoring so you can trust the bot in live conditions. I would love to chat more about your project! Regards

@Hemantt841

Your project to build a Python trading bot that integrates with Polymarket’s API caught my attention because you need a clean, modular script that can handle live data, orders, and balance management reliably. I understand you want a hands-off solution that’s easy to configure and extend with various trading strategies later. You’re looking for a robust API wrapper supporting REST or WebSocket calls for quotes, order book depth, trade history, and account actions, plus a strategy engine scaffold with clear, well-commented functions. The config and risk control via YAML/JSON and logging with alerts for fills and errors are key, along with a backtest mode to validate strategies before live deployment on a VPS using Docker. I recently built a similar async Python bot for a crypto exchange that included modular strategy integration, real-time WebSocket data handling, and extensive risk management controls. I delivered a Dockerized application with detailed logging and alerting through Slack and email, plus a backtesting feature using historical CSV data. This experience aligns directly with your needs, especially the clean separation of API and strategy layers. I can have a working prototype connected to Polymarket’s test environment within 10 days, including all the features you listed. Let’s discuss how to tailor the bot’s structure and controls to your specific requirements.

@strdmgrblr

I’m confident we can build a Python bot that automates your Polymarket trading goals with a clean, configurable script that runs smoothly on a VPS. I’ve crafted solutions for various service-based platforms, ensuring seamless data flow and automated actions. With strong off-platform experience, I understand your need for a robust API wrapper featuring REST and WebSocket endpoints, paired with a modular strategy engine scaffolded for easy swapping. My approach emphasizes clean, well-commented code, integrated logging and alerting, and flexible config controls in YAML or JSON. Key skills include async Python programming, API integration, containerization with Docker, and automated backtesting. We can chat more about your priorities and timeline. Ready to trade ideas as well as trades? Let's have a chat, Alicia

@Lazarone1

Hi, that’s great to hear! Your project closely aligns with one I recently completed. In that project, I built an automated trading framework integrating multiple financial APIs using async Python, WebSocket feeds, and structured REST endpoints with modular strategy layers, configurable risk settings, and Docker-based deployment support. I can apply the same structured approach to your Polymarket bot by building a clean API wrapper, scaffolding a plug-and-play strategy engine, adding YAML/JSON config handling, and ensuring solid logging, alerting, and backtest utilities. I’d be glad to connect and share my experience in more detail over chat. Thank you. Best regards, Lazar

@tanithk

Hey — saw your post about needing a Python bot for Polymarket API trading. The tricky part with these bots is making sure orders are executed reliably under changing market conditions, without getting stuck or timing out on API calls. Quick question before I suggest an approach: Do you already have a defined strategy/logic for when the bot should enter and exit trades, or do you need help structuring that as well? I’ve built Python trading bots around exchange APIs before, handling authentication, rate limits, order placement, and monitoring open positions. If you send the Polymarket API docs you’re using, plus any notes on your strategy, I can review and tell you what’s realistic and how I’d structure the bot.

@hannas62

Hello, As a qualified developer with a robust experience in Python for over 5 years, my specialized skillset aligns perfectly with your project requirements. Having previously developed trading bots and data analysis scripts capable of interacting seamlessly with various APIs, including Polymarket, I can guarantee you a product of high quality that surpasses your expectations. One area I specialize in is constructing solid API wrappers as per your need, whether it's utilizing REST or WebSocket calls. I have also worked on several modular programs that allow for seamless plug-ins of different strategies and configurations. My familiarity with YAML/JSON format will ensure ease of use when managing position limits and maximum exposure. Additionally, I understand the importance of extensive logging and timely alerting in trading systems to facilitate prompt responses to fills, errors, and breaches - all elements I'll integrate into your bot. Another shining aspect of my offer is setting up the system for backtesting before going live. This ensures that strategies are not only well-thought out but also give desirable results. I am well-versed in containerizing applications (Docker) and can produce clear documentation (README) to give you a smooth time spinning it up on Ubuntu. By choosing me, you'd be selecting not just competency but efficiency in actualizing the plan on time. Thanks!

@mharianto164

Hello, Creating an automated trading bot for the Polymarket API is an exciting challenge that requires a blend of reliability and flexibility in design. The main technical decision here is ensuring robust API interactions, as seamless communication with market data and order management is crucial for the bot's performance. This choice impacts everything from how quickly the bot can respond to market changes to the integrity of the trades it executes. In previous projects, I have developed Python applications that integrated with various APIs, focusing on creating modular and maintainable code. For instance, I built an investment tool that handled multiple data sources, achieving a 30% increase in response times and significantly reducing error rates. My experience with async Python, along with a solid understanding of RESTful services and WebSocket protocols, positions me well to meet your needs for a configurable and efficient trading bot. My approach would involve defining the API wrapper first, ensuring reliable data retrieval and order execution. I would then scaffold the strategy engine, allowing for easy integration of various trading strategies. Testing will be a priority; I'll implement backtesting functionality to validate strategies against historical data before deployment. Finally, I will ensure that logging and alerting systems are in place for transparency and operational control, packaging everything within Docker for easy deployment. Could you clarify how you envision the strategy engine's customization? - Are there specific trading strategies you plan to implement? - What are your preferences for logging and alerting formats? Best regards, Moh Harianto

@alfatrade2

Создам для вас полноценный торговый бот с Polymarket API интеграцией используя Python с asyncio для REST/WebSocket соединений, модульной архитектурой где strategy engine будет полностью отделён от API layer через абстрактные классы. Настройки через YAML включат position limits, max exposure, polling intervals с валидацией в runtime, risk management система с автоматическими stop-loss и position sizing, логирование через structlog с ротацией файлов для production мониторинга. Архитектура позволит легко добавлять market-making, arbitrage или trend-following стратегии через простое наследование базового класса Strategy. В отличие от конкурентов добавлю встроенную систему бэктестинга на исторических данных Polymarket и health-check эндпоинты для мониторинга состояния бота на VPS, плюс автоматическое восстановление WebSocket соединений с экспоненциальным backoff при обрывах связи.

@mohamedg101

Hi there,❤️Timeline: 4–6 days || Budget: $300 USD❤️ I know a 2.6⭐ rating might catch your attention. To be transparent, my first project had a misunderstanding that led to a 1-star review, but I quickly learned and my next projects earned 3 ✔️5⭐✔️reviews. I can build a clean, modular Python bot that connects reliably to the Polymarket API, handles market data, order placement, and balance management, and runs smoothly on a VPS. The structure will clearly separate the API layer from the strategy engine, so you can plug in or swap strategies without touching core logic. It will include configurable risk controls (YAML/JSON), logging with alerts, and a backtest mode using the same execution flow. I’ll also provide a simple Docker setup or requirements file with a clear README so deployment is quick and painless. You’ll have a solid, extensible foundation that meets your acceptance criteria and is ready for real strategy development. Warm regards, Mohamed

@apkblack17

As a seasoned full-stack developer, I have expert-level skills in Python - particularly with API integration. I have built numerous applications that required multiple interactions with APIs, such as developing and deploying ERP systems for different industries. These implementations needed seamless and reliable API integrations for tasks like data pull, order placement, and reporting - much in line with your project requirements for the Polymarket API. Additionally, I have extensive experience in developing solutions that can handle heavy data processing and ensure data-integrity, both critical aspects of an automated trading bot. Furthermore, my understanding of databases (MySQL, PostgreSQL, MongoDB) will aid in structuring the trade history appropriately as well as implementing robust logging & reporting mechanisms. Furthermore, I am well-versed with important tools such as Docker, essential for deployment-ready solutions which aligns perfectly with your requirement. My broad experience also means that I am comfortable working on both backend and frontend technologies; hence if there any corresponding frontend needs (like incorporating alerts via Slack/email), I can handle it proficiently. Overall, my proven skill set and experience make me the ideal candidate to bring your vision of an automated trading bot to life.

@mudassirs52

✔ I deliver 100% work — 99.9% is not for me. ✔ Workflow Diagram Requirements Breakdown ⟶⟶ API Wrapper Development ⟶⟶ Strategy Engine Scaffold ⟶⟶ Config & Risk Layer ⟶⟶ Logging & Alerts ⟶⟶ Backtesting Module ⟶⟶ Deployment & Testing Key Highlights ✔ Robust Polymarket API integration — clean wrapper for REST/WebSocket endpoints (market data, orders, balances). ✔ Modular architecture — clear separation between API layer and strategy engine for easy extensibility. ✔ Strategy-ready scaffold — plug-and-play structure for market-making, arbitrage, or trend strategies. ✔ Config-driven system — YAML/JSON-based controls for exposure limits, position sizing, and polling intervals. ✔ Risk management layer — safeguards for max drawdown, order limits, and capital allocation. ✔ Logging & alerting — structured logs (console + file) with Slack/email alerts for trades and errors. ✔ Backtesting mode — reuse core logic with CSV/mock data to validate strategies before live trading. ✔ Async-first design — efficient handling of real-time data using asyncio + websockets where needed. ✔ VPS & Docker ready — lightweight deployment with clear setup instructions. Best Regards, Asad Python Developer | Quant Systems Builder | API & Automation Specialist

@olehz9

Hello, Thank you for the new opportunity. I carefully read your description, and you need a reliable Python trading bot that integrates seamlessly with the Polymarket API, handling market data, order execution, and account management while running autonomously on a VPS. I understand the importance of building a stable API layer with clean architecture, allowing you to plug in different strategies without affecting the core system, and I will deliver a modular, configurable solution designed for both live trading and backtesting. I have strong experience with async Python, REST/WebSocket integrations, and building scalable, production-ready systems. I’m confident in delivering a robust API wrapper with proper error handling, a flexible strategy engine, and well-structured configuration and risk controls, along with logging and alerting to ensure reliability in real-world trading conditions. In a recent project, I developed an automated trading system that integrated multiple financial APIs, handled real-time data streams, and executed trades with strict risk management rules. The system was deployed on a VPS with full logging, alerting, and backtesting capabilities, resulting in a stable, hands-off solution that could be easily extended with new strategies. I look forward to your reply and the opportunity to work together to build a reliable and scalable automated trading system.

@SrChristopher

Hi, I can build a clean, reliable Python bot for Polymarket with a strong focus on structure and stability. My approach is to separate the system into clear layers: API client (REST/WebSocket), execution logic, risk controls, and a modular strategy interface. This keeps the bot easy to extend without touching core logic. What I’ll deliver: – API wrapper for market data, orders, and balances – Strategy scaffold with clear, swappable functions – Config via YAML/JSON (limits, exposure, intervals) – Logging (console + file) + Slack/email alerts – Backtest mode using CSV/mock data – Deployment-ready setup (Dockerfile or requirements + README) I’ll also handle retries, error handling, and rate limits to ensure stable long-running execution on VPS. Acceptance criteria you listed are straightforward: connect to test env, fetch data for 3 markets, place a dummy order, return trade ID — I’ll validate this early. Timeline: 4–6 days Ready to start once API access details are provided.

@zacsin9

Hey — saw your post about needing a Python bot for Polymarket API trading. The tricky part with these bots is making sure orders execute reliably under real-time conditions without breaking on API limits or edge cases. Quick question before I suggest an approach: Do you already have a defined trading strategy, or do you need help translating your logic into code and API calls? I’ve built Python-based trading and automation bots before, including integrations with third-party APIs, handling auth, rate limits, and error recovery. If you send over the Polymarket docs you’re using, plus any notes or specs on your strategy, I can review and tell you what’s realistic and how I’d structure the bot.