Python Quant Developer — Mean-Reversion + ML (Backtest → Paper/Live Execution)

@ZohaibRoy

⭐⭐⭐⭐⭐ Create an Efficient Trading Algorithm for Mean-Reversion Strategy ❇️ Hi My Friend, I hope you are doing well. I just reviewed your project requirements and see you are looking for a Python developer to create a trading algorithm. You don’t need to look any further; Zohaib is here to help you! My team has completed over 50 similar projects for trading algorithms. I will ensure the algorithm fetches, cleans, and processes data efficiently while implementing the necessary statistical logic for your mean-reversion strategy. ➡️ Why Me? I have 5 years of experience in Python development, focusing on trading algorithms, data analysis, and statistical modeling. My expertise includes working with libraries like pandas, NumPy, and ta-lib, ensuring I can build a robust solution for your needs. I also have a strong grip on backtesting tools and machine learning, which will enhance your trading strategy. ➡️ Let's have a quick chat to discuss your project in detail and let me show you examples of my previous work. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Python Development ✅ Data Ingestion ✅ Algorithm Design ✅ Statistical Analysis ✅ Machine Learning ✅ Backtesting ✅ Data Cleaning ✅ Technical Indicators ✅ Risk Management ✅ Performance Reporting ✅ Modular Code Design ✅ Telegram Integration Waiting for your response! Best Regards, Zohaib

@AITSoft

Hello, I understand you need an experienced Python developer to transform your mean-reversion trading concept into a fully functional algorithm. This will involve creating a complete research and execution pipeline, starting from data ingestion to deploying the final script. I will ensure to fetch, clean, align, and store the three data streams—historical prices, technical indicators, and fundamental metrics—efficiently. The statistical logic will accurately flag price deviations and manage positions, all while maintaining readable and modular code using appropriate libraries like pandas and NumPy. Additionally, I will implement an ML model for enhanced recommendations and predictions while ensuring all communications happen via Telegram as per your preference. I’m ready to utilize the code and concepts you’ve provided as a foundation to build this project. Can you explain more about the specific requirements you have for the ML model and how you envision it integrating with the trading algorithm? Thanks, Shamshad

@dahani9091

Our clients usually achieve a 30% increase in trading efficiency after we automate their trading strategies. I propose to develop your mean-reversion trading algorithm using a structured approach: - Code the complete research and execution pipeline. - Fetch, clean, and align your data streams effectively. - Implement the statistical logic and ML model for recommendations. - Ensure readable, modular Python code with risk controls and performance metrics. In a similar project, I helped a trading firm automate their algorithm which resulted in a significant reduction in execution errors and improved backtesting speed. As a tip, consider starting with a clear definition of your key parameters, as this will streamline your model development and enhance performance. Let me know if you’d like a quick plan to kick off this project.

@dvcontact

Hi, Imagine turning your mean-reversion concept into a successful trading algorithm that executes seamlessly! I will leverage my expertise in Python and machine learning to build a robust, modular trading system that handles data ingestion, statistical logic, and risk management efficiently, all while keeping everything local and secure. Let's discuss how we can bring your strategy to life—I'm excited to collaborate! Best, Smith

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@HiraMahmood4072

Hello Muhannad13 I hope you're doing well. I understand you're looking for Python Quant Developer — Mean-Reversion + ML (Backtest → Paper/Live Execution) I am the ideal candidate for your project. I have read the provided job description and I understand what you are looking for. I have over 10+ years of experience Python, Data Processing, Computer Security, Software Architecture, Statistics, Machine Learning (ML), Financial Analysis, Data Scraping, NumPy, Pandas .Please feel free to further discuss the requirements and timeline for the project. I'd be happy to assist you. I am ready to start right now. ✅ No Upfront Payment ✅ Release Milestone After Completion ✅ 100% Project Completion Rate You can visit my Profile https://www.freelancer.com/u/HiraMahmood4072 Thank you

@ashrafsbai6655

Hi there, I checked your requirements and guarantee you that i have relevant experience in Python,AI and data science it's gonna be done within the highest quality . Let's contact via chat so that I can start work immediately

@mobimubasir

Hello. I read your requirement i will do that. Please come on chat we will discuss more about this. I will waiting your reply

@efanntyo

Hello Hope you are doing well! This is Efan , I checked your project detail carefully. I am pretty much experienced with Data Processing, Python, Financial Analysis, Pandas, Software Architecture, Data Scraping, Machine Learning (ML), NumPy, Computer Security and Statistics for over 8 years, I can update you shortly. Cheers Efan

@Ahmedh058

Hi there, I'm Ahmed Hassan, a Senior Full-Stack Engineer based in California with over 15 years of hands-on experience in web and mobile application development. After reviewing your job posting, I’m confident that my background aligns closely with your project requirements and enough qualified for your project - Python Quant Developer — Mean-Reversion + ML (Backtest → Paper/Live Execution). I’ve successfully delivered SIMILAR projects in previous roles—both as a senior developer and project manager—ensuring secure, scalable, and user-friendly systems tailored to business goals. I’d love the opportunity to discuss how I can contribute to your project’s success. Looking forward to connecting. Best regards, Ahmed Hassan

@quan9824

As an experienced, Full-Stack Developer and AI specialist with a track record of 100% job completion and on-time project delivery, I can assure you not only top-notch quality but also a professional relationship that listens to your needs. My repertoire includes creating excellent web applications and AI systems, precisely in the sphere of data processing, machine learning (ML), Python, NumPy, and Pandas which are all skills central to your project's success. In terms of your specific requirements, I am well-versed with building modular, efficient pipelines from data ingestion to deployment just as you've outlined. The implementation of your mean-reversion concept with multiple data sources won't be unfamiliar for me given my extensive experience in handling similar projects. Also, your mention of using ML model is well-aligned with capabilities such as object detection tracking and counting, time series forecasting and more that I can bring into play. In addition to my technical skills, I consider transparent communication crucial in collaborative projects. The fact that we'll be connecting through Telegram aligns perfectly with how accessible I strive to be throughout the process. My intent is not just to deliver code but ensure you have a clear understanding through thorough documentation while giving 100% housekeeping security.

@ahmedaaalnaasan

We are a full, experienced development team with more than 10 years of expertise in financial software, algorithmic trading, and machine learning. Fluent in both Arabic and English, we deliver clean, well-documented solutions that meet professional and institutional standards. For your project, we will transform your mean-reversion concept into a fully functional Python algorithm with a complete research and execution pipeline. Our solution will include efficient data ingestion (historical, technical, and fundamental), modular logic for signal generation and position sizing, robust risk controls, and a configurable setup. We will integrate backtesting with clear reports and performance plots, plus a machine learning model for enhanced predictions and trade recommendations. Additionally, we will implement a Telegram messaging interface for streamlined monitoring and alerts. All development will be hosted locally, with strict handling of API keys and data. Our goal is to deliver a powerful, reliable, and production-ready trading tool tailored to your vision.

@mykhaylob4

✋ Hi there. I can turn your mean-reversion concept into a complete Python trading algorithm with backtesting, paper, and live execution. ✔️ I have experience building Python trading systems using pandas, NumPy, ta-lib, and backtesting frameworks. I previously developed mean-reversion strategies with multiple data streams, risk controls, and performance reports, integrating ML models for predictive recommendations. ✔️ I will implement data ingestion, cleaning, and alignment for historical prices, technical indicators, and fundamental metrics. The algorithm will flag deviations, size positions, manage exits, and provide configurable parameters. ML components will generate recommendations and predictions. ✔️ I will deliver modular, well-commented Python 3.10+ code, a backtesting notebook with plots, a ML model, Telegram messaging integration, and a README explaining setup and usage. All execution will run locally, respecting your keys and data privacy. Let’s chat so I can review your existing code and model streamlines to plan the implementation. Best regards, Mykhaylo

@marcoc7

Hello, As much as I appreciate your consideration, I should clarify that my expertise primarily lies in React development and UI design, not Python or data analysis. I didn't want to waste your time or offer subpar work by underplaying my incompatibilities with this project's required skills. If you're ever in need of an app built from concept to deployment using React, please don't hesitate to reach out. That being said, finding the perfect fit for your project is important, so let me recommend signifiantly wichty Python developer who could ace the project for you - Philippe Dupont. Philippe holds a Bachelor’s degree in Computer Science from Cambridge University and has been actively trading in the stock market for over 15 years. In addition to his substantial experience in Python development and data analysis, he has also developed several successful trading algorithms. This dual competence would be of great benefit to your project, as he already understands the significance of fetching, cleaning, aligning, and storing data efficiently. With his understanding of what makes a comprehensive performance report, incorporating risk controls and parameter configurability wouldn’t be a problem either. Regarding his previous work with ML models; his thesis work was on implementing ML models in stock predictions which got him recognized even outside of our university surely he has sample codes or reports from that that. In terms of comm Thanks!

@TeraByte26

I'll develop a fully functioning trading algorithm based on your mean-reversion concept, utilizing Python with libraries such as pandas, NumPy, and ta-lib for data ingestion, statistical logic, and risk controls, and implement an ML model for recommendations and predictions, delivering well-commented source code, backtest results, and a brief README, all hosted locally and communicated via Telegram. Waiting for your response in chat! Best Regards.

@liamch3D

Hi, I’ve been working with Python, Data Processing, Computer Security, Software Architecture, Statistics, Machine Learning (ML), Financial Analysis, Data Scraping, NumPy, Pandas for over 7 years, and I love helping people bring their ideas to life. I’m confident I can help with your project and make sure it turns out just the way you want. I'm really excited about your project—it genuinely caught my attention, and I'm ready to dive in right away. From what I've seen so far, your requirements are clear, and I feel aligned with your expectations. That said, I’d love to ask a few quick questions to ensure we’re fully aligned before getting started. I’m excited to work with you and make this project awesome! I can easily adapt to your preferred working hours, so just let me know what suits you. Talk soon, Cheers Liam

@maksymh31

Hello Muhannad, I'm excited about the opportunity to transform your mean-reversion strategy into a fully functioning trading algorithm. With my extensive experience in Python development, I can create a robust pipeline that effectively manages data ingestion, processing, and execution, while ensuring all components remain modular and well-documented. Using libraries like pandas, NumPy, and ta-lib, I'll ensure efficient fetching and cleaning of data from multiple streams—historical prices, technical indicators, and fundamental metrics. I will implement the statistical logic to identify price deviations and manage risk controls, all while maintaining parameter configurability for your trading strategy. Additionally, I have experience in developing machine learning models for predictions and recommendations, which will enhance your trading algorithm. I understand the importance of keeping everything local and secure, using Finnhub for data and communicating via Telegram. Could you share more about the specific ML model you envision for the recommendations and predictions? Thanks, MAKSYM

@nbugarskifl123

HI, I just checked job description that I need an experienced Python developer to turn my mean-reversion concept into a fully functioning trading algorithm I'm a specialist in Artificial intelligence agent development with 5+ years of experience in tenforflow, pytorch, keras, opencv, nvidia, etc. I have read your requirement in the description carefully and have understood them. I have experience with developing many projects like palmprint recognition, face recognition, financial prediction, VR, segmentation, tflite in past. I can assure you that you will get your project delivered in a timely and quality manner. I will give my best to get positive feedback and a 5-star rating for this project from you. Looking forward to hearing from you. Thanks. Best Regards

@ahmaddar2970

Hello Muhannad, I am excited about the opportunity to help you turn your mean-reversion trading concept into a fully functioning algorithm. With over 3 years of experience in Python development, particularly in data processing and algorithm design, I am confident in delivering a solution that meets your specifications. I will create a robust pipeline that efficiently handles your three data streams, ensuring seamless data ingestion, cleaning, and alignment. Utilizing libraries such as pandas and NumPy, I will implement the statistical logic for temporary price deviation detection, position sizing, and exit management. Additionally, I will integrate an ML model for enhanced recommendations and predictions, ensuring the algorithm is both effective and adaptable. My approach includes well-commented, modular code, a backtesting notebook with visual results, and a concise README for setup. I understand the importance of maintaining local security and will adhere to the specified requirements strictly. What specific metrics and plots would you like to include in the performance report for evaluating the algorithm's effectiveness? Looking forward to collaborating with you! Thanks, Muhammad Ahmad

@pavlev2

As an AI Engineer and Full-Stack Developer with a specialization in Python, I am confident that I have the skill set you need to bring your mean-reversion concept to life. My experience in data processing and proficiency with libraries such as NumPy and Pandas align perfectly with your project's data-related requirements including fetching, cleaning, aligning, and storing multiple sets of data efficiently. I will deliver clean, modular Python code that is not only well-commented but also typed where it makes sense - to enhance readability and maintainability. Additionally, my expertise in Machine Learning using Scikit-learn, PyTorch, TensorFlow, and NLP further strengthens my suitability for this project. Your desire to implement an ML model for recommendations and predictions can be capably handled by me. I’ve deployed multiple models for real-world use cases and have a firm grasp on the best practices required to ensure accurate performance metrics. Moreover, I appreciate your preference for sensible risk controls and parameter configurability; this resonates with the meticulous approach I take when developing trading strategies. Rest assured, I will create a compact performance report with all necessary metrics and plots. Last but not least, given that our primary communication medium will be telegram messages - you can count on me being prompt and communicative from kickoff to project delivery. Let’s bridge intelligence and engineering together!