Python based Stock Options Trading Algorithm

@Milvetti

Hi, we can help you with your Python equity options trading algorithm (data-to-order automation). We offer lifetime bug fix guarantee. As Milvetti, we help traders automate their strategies. Price is an estimate and may vary by scope.

@citijayamala

1. I am an expert in Python, Machine Learning, Data Analysis, R programming, R markdown as well. I have done many projects in Data mining and Machine learning projects. I have handled many data analysis part using R, Python based on the project requirement. I provide codes, writing reports as well. 2. Have done many projects. I read your project and sure I can handle your project. 3. Your project will be delivered on time with high standard 4. Assistance will be provided with number of clarifications until client satisfaction 5. I will provide assistance even after the payment. And will maintain data (content) security.

@Web1devloper

As an experienced developer with a keen interest in trading software, I understand the importance of creating a refined and flexible algorithm tailored to your specific needs. My strength lies in Python—a language that's perfect for building the clean and modular codebase you seek. I have built numerous robust applications including real-time data analysis systems, so I am confident in my ability to pull, ingest, and analyze the vast amounts of options market data requisite for your project. Moreover, my expertise extends to back-testing systems—a crucial aspect of any trading algorithm. In addition to running the strategy through five years' worth of pevious SPY options data, I can set up your code for easy configuration changes, letting you tweak variables without painstakingly rewriting everything from scratch. Lastly, I've always placed premium value on thorough documentation, both for my own benefit as well as that of users down the line. Rest assured that when I deliver the project, it will come with clear instructions and an easily understandable read-me file regarding its setup, required libraries, flipping between paper-trade and live-execution mode—all geared to make your life easier!

@loxtic

Hi, how are you doing? I have solid experience building modular Python systems for real-time data ingestion, options chains, signal computation, position sizing, and broker integration, plus a working history with trading APIs and back-testing. I’ve delivered production-ready code with clear config, documentation, and test results, and I can demo prior stock-options projects if needed. Let me know what specifics you’d like to review and we can align on setup, sandbox flow, and deployment.

@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 I can deliver any project in Trading. Readymade setups for Python available

@nexvative

I can help you turn your stock-options ideas into a production-ready, fully automated Python trading system that runs cleanly from data ingestion through backtesting and live (or paper) execution. I focus on custom, rules-driven options logic, not generic templates, so the engine will reflect your specific entry, exit, and risk parameters. How I’ll approach this • Build a modular Python architecture that pulls historical and real-time options chains, computes signals, sizes positions, and routes orders via IBKR, Alpaca, or a similar broker API. • Implement a robust backtesting layer aligned with live execution behavior, producing win rate, max drawdown, Sharpe, and P&L curves across multi-year SPY options data. • Add configuration-driven controls (YAML/JSON) for strikes, expiries, filters, and risk caps so you can iterate without touching core logic. • Deliver paper-trading and live modes with identical code paths, plus clear logging and error handling. What you’ll receive • Clean, well-commented Python code and configs • Reproducible backtest results (5+ years of SPY options) • Broker-sandbox paper trading that submits and tracks orders correctly • Concise documentation and README covering setup and deployment I’ve built Python-based options and equities trading systems where reliability, auditability, and smooth handoff matter. If you’d like, I can share relevant options-trading examples from my portfolio and discuss how quickly we can implement your rules end-to-end.

@ModernTechno442

As a highly skilled and experienced web development company with a penchant for Python programming and API integration, creating a purpose-built algorithm for your stock-options trading project is something we are excited to take on. Over the past 7 years, we have honed our expertise in crafting high-performance web solutions that deliver tangible results for our clients, and we are confident we can do the same for you. In line with your requirements, we will deliver clean and modular Python code to pull real-time and historical options chains, compute your signals, size positions, and execute orders efficiently through your preferred broker API. Our proficiency extends even further; we can design a powerful back-testing layer which will enable you to stress-test your strategy across multiple years of stock-level options data, measure key metrics like win-rate, drawdown, Sharpe ratio, and plot P/L curves. Additionally, our commitment to client satisfaction means providing simple configuration files that give you control to tweak strikes, expiries, filters and risk caps without requiring heavy code rewriting. Plus immaculate documentation accompanied with clear instructions make it easy for you to experiment different scenarios as per your requirements. Partner with us and let us build something truly remarkable together – an algorithm tailored completely to reflect your unique trading approach while maintaining scalability for future needs.

@duncank52

Hi there, I reviewed your project quite thouroughly "Python based Stock Options Trading Algorithm" — I will give this a confident closer-style approach and deliver a (clean structure, Scheduled deliveries and updates = no guesswork). Here’s what I need from you: • Confirm the exact requirements + edge cases up front (so we don’t end up redoing work). • Deliver a clear first milestone quickly so that you and I can validate the direction early. • I will keep my implementation tidy and maintainable so future changes are easy as well. If you share any constraints (deadline, stack preferences, access), I can start immediately. Best regards, Duncan

@dushyant317

I bring 13 years of professional experience delivering high-quality results. I have strong expertise in all the required skills listed for this project. My approach ensures accuracy, clear communication, and timely delivery. I am confident I can exceed your expectations with efficient, reliable work. Looking forward to contributing to your project—ready to begin immediately.

@bhartimalu

Hi, I can build and backtest your Python stock & options trading algorithm with robust entry/exit logic, risk management, and historical performance metrics. Experienced with pandas, NumPy, backtesting libraries (Backtrader/Zipline/PyAlgoTrade), and options pricing models. Ready to start immediately. Regards, Bharti M

@yogeshjoshi9

Hello, I can help you turn your stock-options ideas into a fully automated, end-to-end Python trading system—from data ingestion and signal generation to paper trading and live order routing. I understand this is a purpose-built options rules engine, not a generic strategy template, and I’ll structure the system to reflect your exact entry, exit, and risk parameters. I’ll deliver clean, modular Python code that pulls historical and real-time options chains, computes signals, sizes positions, and routes orders via a broker API such as Interactive Brokers or Alpaca. A dedicated back-testing layer will allow multi-year stress testing and output clear performance metrics including win rate, drawdown, Sharpe ratio, and P/L curves. The system will use simple configuration files so you can adjust strikes, expiries, filters, and risk limits without touching core logic, and it will include clear documentation and a concise README covering setup, dependencies, and switching between paper and live trading. I’m experienced in building production-ready trading infrastructure and can share relevant Python and options-trading examples. If you’re looking for a reliable, well-documented system that’s ready to run and easy to extend, let’s connect. Best regards, Yogesh

@mrkk4ever

Dear Client I saw your requirements regarding to develop a auto trading bot for stock market using python. I can develop this application ASAP based your requirements. I developed many applications is similar to your requirements. Such as indicators, analysis applications, auto trading bot for various exchanges. Let share further details. Thanks and Regards Kannadasan K

@AlfredB25

Hi, this aligns very closely with the kind of work I enjoy. I understand you’re not looking for a generic options strategy but a custom rules engine that reflects your own entry, exit, and risk logic — from data ingestion all the way to order execution. I can build a modular Python system that: • Pulls historical and real-time options chains • Applies your strategy rules and position sizing • Runs multi-year backtests with detailed metrics (P/L, drawdown, Sharpe, win rate) • Switches cleanly between backtest, paper trading, and live execution via config files I’ll integrate with a broker API (IBKR / Alpaca — happy to align on this) and make sure the codebase is readable, well-documented, and easy to extend as you refine the strategy. Deliverables: • End-to-end Python trading pipeline • Backtest on 5+ years of SPY options data • Paper-trading validation in sandbox • Config-driven strategy parameters • Clear README and hand-off documentation

@CyberSasu

DEMO READY. With my profound understanding and fluency in Python, I guarantee to craft the bespoke trading algorithm you need. My proficiency will create modular Python code that will incorporate real-time and historical options chains, effectively compute your signals, size positions, and execute live orders via your preferred broker API. Additionally, my extensive grasp on server administration will ensure I tailor this purpose-built rules engine to sync seamlessly for you. You'll be elated to know that I specialize in creating intuitive back-testing layers that are capable of delivering essential metrics such as win rates, max drawdowns, Sharpe ratios, and P/L curves for stress testing strategies across multiple years of stock-level options data. To maximize your flexibility with the algorithm's parameters, I'll provide simple configuration files for easy tweaking without rewriting the entire code.

@himanshus642

I'm Himanshu, an AI and Full-Stack Engineer with a deep understanding of Python and API integration, precisely what you need for your Python Stock Options Trading Algorithm. I've built scalable applications that heavily rely on real-time data processing and intelligent decision-making, including automations similar to what you're looking for. For example, in a recent project, I designed an AI-powered content automation platform that extracts live data and intelligently generates content using pre-defined rules, analogous to how your algorithm would read stock-options data. Another relevant skill in my arsenal is my familiarity with automated trading platforms such as Interactive Brokers and Alpaca. I can utilize their APIs and create robust systems that can pull real-time and historical options chains, compute trade signals, size positions based on your risk parameters, and efficiently route orders. I'm also experienced in constructing back-testing layers that analyze the P/L curves alongside crucial metrics like win rate and max drawdown, just as you require. Break the algorithm development barrier with me. Let's build the state-of-art trading solution that meets all your requirements and exceeds them!

@PREETVAGHELA83

Hi, I went through your requirements carefully, and this is exactly the kind of trading system I like building. You’re not looking for a generic strategy template — you want a clean, end-to-end options algorithm that reflects your own rules, with proper back-testing and real execution. That aligns well with my experience. I work in Python and have built modular trading workflows covering options data ingestion, signal logic, risk and position sizing, and broker execution. I’ll structure the system so data, strategy, risk, and execution are clearly separated and easy to modify. All key parameters (strikes, expiries, filters, risk caps) will live in config files, not hard-coded logic. I’ll implement an options-aware back-testing layer and run it across at least five years of SPY options data, producing win rate, drawdown, Sharpe, and P/L curves. Execution will support paper and live trading via IB or Alpaca with a simple switch. Code will be fully commented, documented, and handed off cleanly with back-test results and a short README. Happy to discuss strategy details and broker choice to get started. Preet

@imranimtiazk

Hello, I have carefully read your project requirements and I am confident that I can complete this task accurately and on time. I have relevant skills and practical experience in this field, and I always focus on quality, clear communication, and meeting deadlines. I am ready to start immediately and will provide regular updates until the project is completed. I look forward to working with you and delivering the best possible result.

@sayarsinghseo

With immense excitement, I propose a collaborative adventure in bringing your stock-options ideas to life through an automated Python algorithm. My name is Sayar and whilst my credentials do not specifically pertain to trading software, I possess something far more valuable: solid experience and knowledge in Python coupled with an unrivaled passion for delivering clean, modular codes. My skills as a data analyst will enable us to pull, compute, and utilize real-time & historical options chains effectively, building a winning strategy that reflects your vision. Moreover, my ability to design clear documentation alongside simple configuration files will add another layer of ease to your work. With my robust understanding of the intricate workings of Excel formulations and excellent problem-solving skills, we can seamlessly input your desired modifications such as strikes, expiries, filters alongside risk caps without rewriting the core codes. In conclusion, although my expertise may originate from a different field, my profound background in Data Analysis combined with my zeal for producing production-ready software makes me well-aligned for this project. Let's embark on this innovation-driven journey together toward unparalleled trading success.

@arshig8

Hello, I am a highly skilled full-stack developer and digital solution architect with over 4 years of experience transforming ideas into powerful, scalable, and business-focused web and mobile applications. I specialize in building performance-driven, user-friendly products that not only look premium but also deliver measurable results. My development approach combines clean, maintainable code with modern UI/UX principles, ensuring every project is fast, secure, responsive, and optimized for real-world growth. My technical expertise includes: Frontend & Backend: PHP, Laravel, MERN Stack CMS & E-commerce: WordPress, Shopify, Magento Mobile Apps: Flutter (Android & iOS) Other Core Skills: API development, database design, payment integrations, automation, and cloud deployment From corporate websites and e-commerce systems to fully custom platforms and mobile apps, I deliver end-to-end solutions that are stable, scalable, and aligned with business goals. I work with a strategic mindset—spanning requirements analysis and system architecture through development, testing, deployment, and long-term support. My focus is always on quality, clarity, and delivering outstanding value. If you're looking for a developer who understands both technology and business and can bring your vision to life with precision, creativity, and reliability, I am here to help. Let’s build something exceptional together. Best regards, Arshi.g