Options Trading ML

@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

@prashanpatel557

Hello, I am a Machine Learning engineer with hands-on experience building trading systems, including options and futures, where ML models are used for signal generation, regime detection, and execution support rather than academic-only predictions. Relevant experience • Designed hybrid ML systems combining: • Supervised models for signal probability & volatility estimation • Reinforcement Learning for position sizing, entry timing, and trade management • Worked with options-specific features: Greeks, IV skew, term structure, OI change, realized vs implied volatility • Built pipelines using live + historical market data, proper train/validation splits, walk-forward testing, and leakage control • Strong focus on practical execution logic (slippage, latency, risk limits), not just model accuracy How I would approach your module 1. Define the role of ML clearly (signal, filter, sizing, or execution) 2. Feature engineering aligned with market microstructure 3. Offline backtesting + forward validation 4. RL layer for adaptive decision-making under constraints 5. Clear performance metrics (PnL, drawdown, Sharpe, stability) Tech stack Python, NumPy, Pandas, PyTorch / Stable-Baselines, scikit-learn, vectorized backtesting I only take serious trading ML work where models are judged on real performance, not theory. Happy to discuss your current system and where ML/RL fits best.

@loxtic

Hi, how are you doing? I have solid hands-on work with ML and RL in trading setups, including design, backtesting, and live deployment of scalable models on futures and options data. I’ve built and tuned modules around market data feeds, latency-aware execution logic, and risk controls, with practical experience integrating proxy/vpn access where needed. I can demo relevant projects on request and share code structure, experiments, and results. Let me know what specifics you want to review.

@YashveerRathore

Hi, I have worked on similar ML-driven trading system projects before, where practical market behavior, execution logic, and model robustness matter more than theoretical models alone. Please check my profile and recent reviews for that I will design and optimise ML and reinforcement-learning–based trading modules with a clear focus on real trading constraints, data integrity, and performance stability across market conditions. Let us quickly align on expectations and move ahead.

@mohd25naseem

As an experienced data scientist with a focus on machine learning, I am confident in my ability to take on your advanced algorithmic trading project. Not only am I well-versed in ML and RL, but I also possess the hands-on expertise you need when it comes to stock, futures, and options trading systems. Using my comprehensive understanding of market data and execution logic, I will design an optimized ML-based trading model customized to your specific needs. Throughout my career, I have successfully completed numerous projects similar to yours that involve complex data analysis, model fitting, and precise prediction-making. My proficiency in Python (including tools like pandas, numpy, scikit learn), R (ggplot2, tidyverse), and Excel will allow me to provide powerful solutions while ensuring efficient data management. Additionally, with my knack for creating interactive dashboards, I can guarantee that the generated reports will offer clear insights useful for decision-making. Your project deserves someone who can not just crunch numbers but can also provide meaningful context from the results. I can do both efficiently. Let's work together on creating a state-of-the-art trading system that maximizes profit by leveraging innovative machine learning techniques.

@dushyant317

Hello, I’ve carefully reviewed your project requirements and clearly understand the tasks involved. I have 13 years of experience and strong expertise in the exact skills this project requires. I have successfully delivered similar projects before and can share relevant samples if needed. I will complete this within your expected timeline while maintaining quality and clear communication. I look forward to working with you and contributing sincerely to your project’s success.

@karthik809

Hi, I’m an ML practitioner with experience in ML/RL-based modeling for trading systems, including market data handling, strategy optimization, and execution-aware design. I focus on robust, data-driven trading modules and can contribute immediately. Best, Karthikeya

@Thabs9

I understand your need for a Machine Learning expert for the [options trading ML project]. With my strong expertise in Machine Learning and Reinforcement Learning, along with hands-on experience in trading systems, I am well-equipped to design and optimize ML-based trading models. My skills in Python and C Programming align perfectly with your project requirements. As you require only ML experts with trading module experience, I believe I am the right fit. I'm excited about the potential collaboration and the opportunity to contribute to your advanced trading system. Regards, TM MOHALE

@MaithriW

I’ve worked with ML-based trading systems before, including combining machine learning with reinforcement learning for real trading decisions. I understand how market data behaves and how models break in real conditions if execution and risk logic aren’t handled properly. I’m comfortable working directly with price data, building and tuning models, testing them with realistic assumptions, and turning signals into actual trading logic. I focus on what works in practice, not theory. I can jump in, review what you have, improve or redesign the model, and keep communication clear while we iterate. Let me know what market and data you’re using and we can take it from there.