Shoonya Trend-Following Trading Bot

@quan9824

As a seasoned Full-Stack Developer known for delivering projects on time and with utmost accuracy, I'm the perfect candidate to develop your Shoonya Trend-Following Trading Bot. My web application creativity and vast understanding of Python will enable me to efficiently create a Python package or repository that encompasses all your requirements. Having prior experience developing sophisticated AI systems, I'm well-versed in acquiring, processing, and analyzing real-time market data. This will be invaluable in developing your bot's rock-solid strategy execution, integrating moving-average crossover logic and addressing any future modifications.I am also adept at working with websockets, giving me a significant advantage in connecting to Shoonya’s websocket feed. You're not just hiring someone who can deliver the project; you're welcoming someone who can offer continuous support even after completion. Complete with a comprehensive README file and logging system, my work is designed to help you comfortably run the bot on a Linux VPS using only Python, pip, and your Shoonya credentials. I would also ensure you gain a deep understanding of this system through a detailed hand-over call or recorded walkthrough. Trust me to optimize your trading strategies into fruition.

@prabhathk5

Thanks for sharing the details. I’ve reviewed your requirement and would be glad to discuss it further. I’m Prabhath, an experienced MQL4/MQL5, Pine Script, Python, and C++ developer specializing in automated trading systems and institutional-grade algorithmic solutions. I develop Expert Advisors, indicators, dashboards, data tools, and custom trading utilities for MT4/MT5, TradingView, and standalone platforms. Along with MQL5 systems, I also build fully automated trading software in Python and C++ for Indian stock markets and global exchanges (US, EU, and others). These solutions can be tailored for stocks, indices, futures, forex, and crypto based on project needs. As an active trader, I work with ICT, SMT, market structure, liquidity models, order blocks, FVGs, VWAP, and volume-based logic, ensuring each strategy follows the client’s trading methodology. My expertise includes institutional-grade EA and indicator development, ICT/SMT-based trading systems, Pine Script automation, Python and C++ systems for Indian and global markets, backtesting, paper trading and live trade integration, strategy optimization, and low-latency execution. I also fix, optimize, and enhance existing trading systems to make them stable and production-ready. Where permitted, I can share demos or walkthroughs of previously completed projects while respecting client confidentiality. Thank you for your time and consideration.

@tobiask5

Hi there, I hope you are doing well I can develop a Python trend-following bot that starts in paper-trading mode and switches seamlessly to live trading via the Shoonya API. The bot will subscribe to Shoonya’s websocket feed, execute your moving-average crossover logic, and manage orders with real-time position sizing, risk checks, and session handling. Paper-trading will simulate fills, log P&L, and record latency, while the live mode will follow identical rules. The package will include authentication, strategy loop, order management, CLI/configurable symbols, timeframes, lot sizes, and a paper-to-live toggle. Logs will be stored in CSV or SQLite, and the code will be clean, commented, and ready to run on a Linux VPS. A short hand-over session or recorded walkthrough will ensure you can adjust strategy rules later. Estimated timeline: 1 weeks. Fixed price: $1500 Best regards, Tobias

@craigd43

As a veteran developer well-versed in Python and C programming, my skill set equips me to craft the cutting-edge Shoonya Trend-Following Trading Bot you seek. With proficiency in websockets, data analysis, and handling brokerage APIs, I am primed to create a robust and efficient Python package or repo that encompasses every aspect of your project's needs. Drawing from my extensive experience in the financial industry, I have cultivated an acute awareness of the importance of strategies in driving trading bot performance. My expertise in Python guarantees clean and dependable code that adheres meticulously to your trend-following logic. Additionally, my mastery of data management with Python will help shape a structure that allows you to fluidly add features as needed - even including sophisticated dashboards should you decide to incorporate them later on. In prompting seamless transitions from paper-trading mode to live execution, I understand the significance of identical position sizing, risk checks, and session handling. To supplement this efficiency, I'm also well-versed in basic logging systems – useful for insightful reviews post-trade. Ultimately, by choosing me for your Shoonya Trend-Following Trading Bot project, you're selecting a professional dedicated to providing you not just with clean, functional code but with an endeavor for your success and satisfaction every step of the way. Let's discuss how we can turn your vision into reality!

@reactnodepython

Hello, I'm a Python developer with over 10 years of experience in building trading bots and financial applications. We'll discuss the details in a chat. I can create a robust trend-following bot using your specific requirements. The bot will connect to Shoonya’s websocket to gather real-time market data. It will implement your moving-average crossover strategy, ensuring reliability and accuracy. I can provide two options for the data handling. Option A: The bot logs all fills and outcomes to SQLite for ease of access. Option B: The bot records details in CSV format, which can be analyzed later. The package will include a clear README so anyone can run the bot with minimal setup. I will also conduct a walkthrough to ensure you are comfortable with extending the strategy as needed. I have experience working with Shoonya and similar APIs, which allows me to ensure smooth and efficient integration. Below is my project proposal.

@cindyviorinar

Hi, I’ve read your brief and I’m confident I can turn your trend-following idea into a clean, production-ready Python bot that starts in paper mode and flips to live Shoonya execution with a single flag. I’ve built secure, well-structured trading backends and real-time data pipelines using websockets and REST APIs; I focus on clear architecture, reliable order management, and rigorous risk checks so execution is predictable under live conditions. I will deliver a single Python repo with config/CLI, auth, websocket subscription, strategy loop (MA crossover), simulated paper fills, identical live routing, CSV/SQLite logging, and graceful shutdown. I’ll provide clear comments, a README for Linux VPS setup, and a short hand-over walkthrough. Do you have preferred symbols/timeframes and desired lot-sizing rules I should include in the initial config? Sincerely, Cindy Viorina

@Hemantt841

With over 15 years of experience in software development and digital solutions, I have collaborated with startups, mid-size companies, and enterprise-level clients, successfully delivering more than 200 projects across various industries. My background includes strong expertise in Python programming and API integration, which aligns perfectly with your project's need for a robust trading bot using the Shoonya API. I can design a Python package that effectively connects to the Shoonya websocket feed, implementing your trend-following logic with clean and dependable code. The solution will focus on seamless execution in both paper and live modes, ensuring precise order management and logging capabilities. The structure will be straightforward, allowing you to adjust parameters easily, while also maintaining room for future enhancements. Let's discuss how I can help bring your trading bot vision to life.

@TheDesignBloke

Hello, I went through your project carefully, and the core challenge is clear: you need a reliable Python bot to implement your trend-following strategy via the Shoonya API. This isn’t a surface-level task , it requires someone who understands API integration, real-time data handling, and seamless transition from paper to live trading. I’ve handled similar work where precision and efficiency mattered. My approach is straightforward: I will connect to Shoonya’s websocket feed, implement your moving-average crossover logic, and ensure robust order management. The solution will include a simple config setup for customization and clear logging for review. No guesswork, just clean, dependable code ready for immediate deployment. If this aligns, I can start immediately and deliver the complete package within a week. One quick question before I proceed: What specific risk checks do you want integrated in the initial phase? Best regards, Muskan

@Sbwinwin6000

Hi there—thanks for the detailed spec; I can build you a clean, reliable Python trading bot that runs in paper mode first and then switches to live execution via a single config/flag, with the exact same strategy + risk + session logic in both modes. I’ve built real-time websocket-driven trading/market-data systems in Python (stream ingestion, event loops, order state machines, logging, fault tolerance); while I haven’t personally shipped a production bot on Shoonya yet, I’m comfortable ramping quickly on new broker SDKs and will validate behavior against Shoonya’s websocket/order endpoints early so there are no surprises. The repo will include Shoonya auth, websocket subscription, tick aggregation (if needed), MA-crossover signal generation, an order manager (place/modify/exit), risk checks, and graceful shutdown/reconnect handling, plus CSV/SQLite logging for every tick→signal→order→fill→PnL event. You’ll get a straightforward config (YAML/JSON) + CLI args for symbols, timeframe, lot size, risk limits, and paper/live toggle, along with a Linux VPS-ready README (venv + pip + run command) and commented code. I’m available to start immediately, can deliver an initial working paper-trading prototype within a few days, and can do a short handover call or recorded walkthrough once you’ve run it end-to-end on your VPS. If you’d like, I can also provide a small “strategy rules” interface so you can tweak crossover settings without touching the execution/risk modules. Best regards!

@soarlogic449

As a seasoned Full-Stack Developer known for delivering projects on time and with utmost accuracy, I'm the perfect candidate to develop your Shoonya Trend-Following Trading Bot. My web application creativity and vast understanding of Python will enable me to efficiently create a Python package or repository that encompasses all your requirements. Having prior experience developing sophisticated AI systems, I'm well-versed in acquiring, processing, and analyzing real-time market data. This will be invaluable in developing your bot's rock-solid strategy execution, integrating moving-average crossover logic and addressing any future modifications.I am also adept at working with websockets, giving me a significant advantage in connecting to Shoonya’s websocket feed. You're not just hiring someone who can deliver the project; you're welcoming someone who can offer continuous support even after completion. Complete with a comprehensive README file and logging system, my work is designed to help you comfortably run the bot on a Linux VPS using only Python, pip, and your Shoonya credentials. I would also ensure you gain a deep understanding of this system through a detailed hand-over call or recorded walkthrough. Trust me to optimize your trading strategies into fruition.

@zacharyd78

I'm definitely in for this. Having just completed a EMA deviation bot using python which I have running from a droplet set up in singapore. I have a clear understanding and just need your parameters to start (which can be tweeked as we go). The basic frame work will take about 2 days.. But should be quick enough.