Python Algo Trading Developer

@mrresearcher99

Hello Sir, I have 5 years of experience working with Python Development. Let's discuss this further. Thanks, Bhargav.

@KrisuTechkul

Hi Krishna here from Delhi, we are a team of 20+ AI/ML Engineers - have completed 300+ projects with 100% client satisfaction & long term associations. As an AI-driven software development expert with a solid background in python, I am confident that my skills align perfectly with your requirements. My team and I are no strangers to building signal-based systems, having used them extensively across various domains. We've spent significant time developing algorithms to generate real-time actionable insights for decision making, which is precisely what your project demands. Employing libraries like pandas and TA-Lib/ta, we ensure clean, modular code that enables you to add new indicators effortlessly without a full rewrite. In addition to delivering comprehensive AI solutions, we understand the nuances of trading - from position sizing to risk management - which add immense value to your project. Having a well-documented code base and README has always been a priority for us as it facilitates the extension or modification of strategies in the future efficiently. Our track record speaks volumes: we have produced solutions that have consistently reproduced defined entries/exits on diverse datasets while managing multiple symbols simultaneously. Let me assure you of not just providing you with a functioning solution but one that stands up to your acceptance criteria in both test and live-trade simulations.

@Srashtasoft

A Warm Hello! Your requirement for a modular, signal-driven trading execution engine is very clear, and I like the fact that you are prioritizing clean architecture, multi-symbol stability, and future extensibility instead of building a tightly coupled bot. We can develop a production-ready Python trading system with: Real-time signal listener and execution engine Multi-symbol concurrent trade management without blocking Broker/exchange API integration with paper/live modes Position sizing and configurable risk management TP/reversal/exit handling logic Structured logging and audit trails Extensible indicator/plugin architecture for future additions Suggested stack: Python + asyncio/threaded workers pandas + ta/TA-Lib for indicators WebSocket market streams PostgreSQL/SQLite for logs and trade history REST/WebSocket broker integrations Modular strategy and execution layers We also understand the importance of: Order synchronization and retry handling State persistence during failures/restarts Clean separation between signal ingestion and execution Backtesting compatibility using historical datasets Safe paper-trading validation before live deployment Our experience includes real-time dashboards, financial workflows, API orchestration, and scalable backend systems involving concurrency and event-driven architectures. Let's set up a quick call to discuss things better. Let's discuss it more in chat. Best Regards, Jemin Sagar

@loxtic

Hi, how are you doing? I’ve built modular Python trading tools that handle real-time data, multi-symbol management, and broker API execution with clean logging and easy extension for new indicators. I can deliver well-commented code using pandas and TA-lib, plus a setup guide and a test/paper-trade workflow. I can show prior work or a quick demo if needed. Let me know further if interested

@TechWagger2026

As an accomplished and versatile developer with a primary focus on API Development, I am proficient in Python, C programming, Data Analysis, and Software Architecture. My extensive fourteen years of experience have equipped me with expert problem-solving skills and a deep understanding of end-to-end solution development. In particular, my proficiency in Python makes me an ideal candidate for this project as it is one of the pre-eminent languages for algorithmic trading and data processing- two critical components for your bespoke trading system. Lastly, I take client satisfaction more importantly than anything else. My mission as a developer is to precisely meet each client's unique needs and to make their business efficient. Many of my 416 successful projects have been delivered to clients with specific target needs, uniquely tailoring the product to best boost their businesses. I assure you; if selected, I will provide you with well-commented Python source code leveraging widespread libraries including pandas and TA-Lib/ta for 믢ningful data analysis and a clear README file that will simplify any further customization. So let's kick-start your profitable algo trading journey together!

@Sahyadri96

Completed projects till now 1) Python + DhanAPI +Excel + VBA option scalping strategy 2) Python 21 EMA and 9 EMA crossover strategy on DhanAPI 3) Google sheet + FyersAPI trading 4) Google sheet + Algomojo + Upstox 5) Tradetron Banknifty option scalping strategy 6) Excel 2600 NSE 10 years data 7) Copytrading using python 8) Tradetron Supertrend + MACD Crossover Strategy 9) Dhan option chain with Greeks in Google spreadsheet via Google Appscript 10) Backtesting of Nifty options for wait and trade strategy 11) Trigger orders for Dhan Nifty options 12) Shoonya API:- Wait and trade strategy 13) Tradetron: RSI + ADX + EMA strategy 14) Python Moving avarage channel trading Algo 15) Kotak Neo: Turtle scalping strategy for options 16) Fyers Filtered option chain in Excel 17) Binance Bitcoin tradingview strategy python bot 18) Fyers Tradingview python bot 19) Dhan Python order manager I can deliver any project in Trading. Readymade setups for Python available

@manoval09

Hi, I see you need a signal-based trading algorithm that covers generation, validation, and execution—the full pipeline, not just the signal code. I've built trading systems using Python with event-driven signal architecture, backtesting validation via backtrader or VectorBT, and live execution through broker APIs (IB, Alpaca). For this scope, I'd structure it as a modular pipeline: signal generator → validation layer with historical drawdown/Sharpe checks → execution engine with order management. I'd use asyncio for the execution loop to handle real-time updates cleanly. Given the budget, this timeline works: Day 1 I'd set up the core architecture and get your signal logic running in backtest mode. That gives us a concrete foundation to discuss execution details—which broker API, position sizing rules, risk constraints—before wiring live orders. Should I start with a specific signal type you have in mind, or do you want me to build a generalized framework first? Best regards, Val

@techmadigital

Hi, I’ve developed Bank Nifty Futures strategies using Kite API and also built pivot based strategies for Sensex, Nifty, and Bank Nifty using Fyers API. Let’s chat. I’ll show you live strategies and working systems I’ve already built. Cannot share link or repo over here. Let's connect on Chat.

@ziedb4

Hello, I’m a Python developer with experience building trading automation systems and Binance API bots. I already work with real-time order execution, signal processing, and API integrations, so your project fits very well with my background. I can build a clean and modular architecture that supports: Multi-symbol concurrent trading Technical indicator signal execution Position sizing and risk controls Broker/exchange API integration Detailed logging and audit tracking Easy future extension for additional indicators or sentiment modules I focus on writing maintainable Python code with clear structure and documentation, using tools such as pandas, TA-Lib, asyncio, and reliable API wrappers. I also already have experience with Binance bot workflows, which helps speed up development and testing significantly. I’d be happy to discuss the execution logic and overall architecture in more detail.

@snath88

Hi, Drop me a message — I'll share a quick prototype based on what I understood. If it matches your expectations, we can move forward. Thanks!

@Br1je5h

Your algo-trading engine needs Python's signal processing reliability—I built fintech integrations at BP on AWS Lambda, same architecture patterns you need here. Built RiskPro CRM handling 100K+ transactions/day with Python + real-time APIs. This breaks down cleanly: signal validation (Day 3), broker API wrapper with pandas + TA-Lib (Day 7), multi-symbol orchestration + backtesting framework (Day 12), audit logging & documentation (Day 14). Risk reversal: code passes your test dataset before payment. Quick question: are you backtesting against live tick data or OHLC bars, and what broker API (Interactive Brokers, Alpaca, custom)?

@Prynicp

Hello, We at Prynic Innovation specialize in building scalable Python-based trading automation systems and would love to help you develop this signal-driven trading bot. Your requirement for multi-symbol execution, external signal handling, clean modular architecture, and reliable order management is exactly the kind of system we have experience delivering. What we will deliver: • Python-based modular trading engine with clean architecture • Real-time signal processing for entry, exit, TP, and reversal logic • Simultaneous multi-symbol trade execution without blocking • Broker/API integration with paper-trading support • Risk management, logging, and audit trail system • Well-documented, extendable codebase for future indicators/features • README with setup, customization, and deployment instructions Tech Stack: Python, Pandas, TA-Lib/ta, WebSockets, Async Processing, Broker APIs (Binance/MT5/IBKR etc.) We focus on stable, production-ready automation with scalability in mind, ensuring future additions like sentiment or volume analysis can be integrated without major rewrites. Ready to start immediately and can share relevant automation/trading project experience during discussion. Looking forward to collaborating with you. — Prynic Innovation

@kibetk6

As an experienced full stack developer, I possess the strong coding skills in Python that your signal-based trading algorithm requires. My ability to consume real-time market data quickly and accurately positions me as a dependable option for this project. Having worked on similar projects in the past, I am also well-acquainted with libraries such as pandas, TA-Lib/ta that are commonly needed for signal analysis and processing in trading systems. My skillset extends beyond simply writing the code; I am adept at keeping my work clean, modular, and easy to extend - a quality that you highlighted as important. This will allow you to effortlessly integrate new indicators or data sources in the future without needing a full rewrite. Additionally, as a seasoned software engineer, I fully appreciate the significance of logging and audit trails to provide transparency and accountability and will ensure that feature is included in the final deliverables.

@MeetPatel9406

Hi, I’d love to help build your signal-based trading bot. I have experience with Python automation systems, real-time data processing, API integrations, Socket/WebSocket workflows, and modular backend architecture. I can build a clean and scalable trading engine that handles multiple symbols simultaneously without interrupting execution flow. I can help with: * Signal-based order execution * Multi-symbol trade management * Broker/exchange API integration * Position sizing and risk controls * Real-time execution handling * Audit logging and tracking * Modular strategy architecture for future indicators * Paper trading and backtesting workflows I focus on building stable, extendable systems with clean code and proper logging/documentation for future scaling. Looking forward to discussing the strategy logic further.

@sidharth284

As a passionate software developer with a strong background in C programming, I bring significant skills and expertise to your Python algo trading project. I have worked on similar signal-driven systems before, and I appreciate the significance of clean, modular code that is also easy to extend with additional indicators in the future - an aspect that aligns seamlessly with your project's requirements. Moreover, my understanding of APIs and experience in dealing with real-time market data make me confident in my ability to effectively integrate your bot to capture signals from different sources neatly and accurately. I’m quite familiar with brokering API wrappers and employing risk controls skillfully while managing multiple symbols simultaneously. I would love the opportunity to showcase my abilities in helping you achieve a precise reproduction of the defined entries/exits on your dataset, as well as accurate placement, modification, and closure of orders during the live trade simulation. My approach is always detail-oriented and documented, so you can expect comprehensive logs for any future audits. With me on board, you'll have a reliable, efficient, and experienced partner who understands your vision well enough to turn it into a reality. Let's get started!

@Kishoreindia

Dear Sir/Madam, I am an experienced Python Developer with strong expertise in building scalable backend systems, APIs, automation tools, and full-stack applications. I specialize in delivering clean, efficient, and production-ready solutions. I have successfully developed and deployed multiple live applications including healthcare platforms, legal service apps, school management systems, fintech apps, and real-time communication systems. My Core Python Expertise ✔ Django & Django REST Framework ✔ FastAPI (High-performance APIs) ✔ Flask ✔ SQLModel / SQLAlchemy ✔ PostgreSQL / MySQL / MongoDB ✔ Supabase Integration ✔ Authentication (JWT, OAuth) ✔ Payment Gateway Integration (PhonePe, Razorpay, Stripe) ✔ Web Scraping (BeautifulSoup, Selenium) ✔ Automation Scripts ✔ WebSocket & Real-time Systems ✔ Docker Deployment ✔ AWS / VPS Deployment ✔ REST API Design & Optimization What I Can Build For You Secure REST APIs SaaS backend architecture Admin dashboards Real-time chat systems Payment systems Data processing systems Microservices architecture AI/ML API integration Custom business logic systems Recent Project Experience Healthcare booking & wallet system Legal consultation backend platform School ERP & management API Fintech wallet & transaction management Real-time chat application (WebSocket + MQTT) Location-based services & geo APIs

@lxeitprofes

I believe you already have this trading application in which want to add mentioned few features/ functionality. I need to discuss it in bit more detail like when the tp matches with a certain price the where to send it out and if you have any api or for this I have to write this logic. also need to know what is written or what way the source data comes up Waiting on your response, please let me know. Thanks Sanjay Gupta

@markdennis19

I’m a Python developer with experience building signal-driven trading systems. I can deliver a clean, modular bot that processes real-time market data, executes multiple symbols concurrently, and routes orders via broker API with position sizing and risk controls. The architecture will be flexible to easily add new indicators later, while capturing logs for auditing. I’ll provide well-commented code leveraging pandas and TA-Lib/ta, with a clear README for setup and customization. The strategy will reproduce test dataset signals and handle live simulations correctly in paper-trade mode. I’ve built similar systems and can share code samples upon request.

@MaazDeveloperDot

Having worked primarily on web development, I understand very well how vital the clarity and structure of code is for seamless execution and future expansion. While I have not dabbled extensively in algo-trading, your project description showcases a need for a developer that can demonstrate adaptability and a strong grasp of technical indicators - two skills I deeply possess. Moreover, my familiarity with API Development and Software Architecture also lends itself seamlessly to developing the system you're envisioning. It's important to highlight that although my background is not specifically tuned to trading, it actually benefits your project offering a fresh perspective and innovative thinking. Delving into algo-trading presents an exciting new challenge for me that I am enthusiastically prepared to take on. My proficiency with languages including C Programming and python will distinguish me as an efficient coder with a deep understanding of data processing. This columnar-prioritized approach makes your subsequent aim at incorporating news sentiment and volume signals easier than ever before. Lastly, my clients continuously choose me because I emphasize fast, responsive communication - something absolutely crucial in complex projects like yours. From my side - you could expect on-time deliveries without any quality compromises because for me your success becomes our success!