AI Stock Day-Trading Bot

@Mahihassi

With my extensive software engineering background, particularly in embedded systems and IoT development, I am well-poised to take on and deliver your AI Stock Day-Trading Bot project to the highest standard. My mastery in C programming further bolsters my ability to create efficient and scalable solutions that your project requires. When it comes to building your AI-powered bot, I am not merely familiar; I am proficient in almost every aspect of its required tech stack: from Python and Linux to NumPy, pandas, scikit-learn, TensorFlow, PyTorch, Interactive Brokers and Alpaca automation. In alignment with your project goal of creating a modular architecture for future enhancements such as integrating Binance, leveraging these technologies ensures we'll meet this aim seamlessly. Working closely together throughout the project cycle is not new to me; my strong communication skills paired with the unwavering quality of my deliverables ensure a smooth collaboration. Moreover, having delivered numerous intricate projects on time and within budget during my career further attests that your project's successful completion is safe in my hands. Leading up to the cut-over for live capital trading will be an exciting journey that I'm fully committed to. So why settle for less? Let me bring my proficiency and expertise to work for you!

@quantumcube

I can deliver a modular, fast intraday trading bot built in C++ (with Python bindings if needed): clean data/strategy/risk/execution layers, real-time dashboard, and backtests matching live logic.

@AwaisChaudhry

Hello, I understand you want a fast, modular stock day-trading bot that can handle intraday data at high speed, generate signals quickly, and enforce clear risk limits with immediate order routing. I will build a maintainable Python stack around NumPy and pandas, with optional ML models via scikit-learn or PyTorch if you want, and adapters for Interactive Brokers or Alpaca. The architecture will separate data intake, strategy logic, and execution so you can swap data sources or add Binance later. Deliverables will include an end-to-end script ready for live trading, a back-testing module with P&L, Sharpe, and drawdown metrics, a real-time dashboard or CLI, minimal risk rules (max position size, hard stop, daily loss cap), and a setup guide for VPS or local machine. I will ensure clean, well-commented code and active communication. What are the exact risk limits (max position size, hard stop, daily loss cap) you want to enforce and how should they be tested in paper trading? Which broker API do you want to start with (Interactive Brokers, Alpaca, or another) and do you require fast order routing speed? Which intraday timeframes and data frequency should we target (e.g., 1m, 5m bars)? Do you want the architecture ready for Binance integration and what data adapters should be abstracted first? What deployment setup do you prefer (local machine vs VPS) and any security constraints?

@LiveExperts

Hello, As a team of talented engineers and developers at Live Experts®, creating an AI-powered trading bot is right up our alley. Our solid experience in Python, including its frameworks such as NumPy, pandas, and scikit-learn will be instrumental in delivering a high-performance stock day-trading bot tailored to your needs. Plus, we’ve had ample exposure to broker APIs like Interactive Brokers and Alpaca. We've focused on creating a modular architecture for your project from day one. This way, we‘ll ensure that the data adapters and strategy layers can be flexibly plugged in the future, just as you intend with Binance. Moreover, we're here to work side-by-side with you just as you requested - refining the logic together through live deployment. On top of our technical prowess, we emphasize clean code and open communication throughout the process—traits crucial for an efficient collaboration. We intend to deliver a comprehensive package for your trading automation journey - starting from the back-testing module to a real-time dashboard or CLI showing open positions and key statistics. After rigorous paper trading, where our bot would maintain all defined risk limits and generate a consistent trade log, we'll be ready for live trading! So, let's get started today on making your AI Stock Day-Trading Bot a profitable reality! Thanks!

@softsolution2000

I can structure the "AI Stock Day-Trading Bot" project by first focusing on designing a modular architecture to accommodate future integration with Binance. Leveraging my skills in C Programming, API, and NumPy, I will prioritize developing a high-frequency data intake system, robust risk management limits, and a real-time dashboard for monitoring key statistics. Once we discuss the full project scope, I am open to adjusting the budget to ensure a successful delivery within your requirements. Let's kick start this project and achieve our goals together. Please go through my profile its 15 years old see the work I did over the years. No Win No Fee means that your satisfaction is my utmost priority. Lets discuss the job details. Moreover, I am willing to start the job and perform tasks without even being hired; it is just to show my commitment to this project. Looking forward to hear from you.

@Softeria

✅ Proposal for AI Stock Day-Tradi With a solid background in developing AI-driven financial applications, I am ideally suited to construct a cost-effective intraday trading bot tailored to high-frequency equities trading. My proficiency in Python, coupled with extensive use of libraries such as NumPy, pandas, and TensorFlow, aligns perfectly with your technology stack preferences. I have implemented similar strategies with Interactive Brokers and Alpaca APIs, ensuring a smooth integration and robust trading execution. My approach includes clear, well-commented code and a commitment to open communication, essential for working closely through each project phase. Lets refine the strategy and achieve seamless live deployment together.

@PINESCRIPTERR

Hi there, I’ve built AI‑powered trading bots before and can share examples directly in chat. I will deliver: 1. End‑to‑end Python trading package for intraday equities 2. Back‑testing module with P&L, Sharpe, and drawdown metrics 3. Real‑time dashboard/CLI showing positions and exposure 4. Risk‑management rules (max size, hard stop, daily loss cap) 5. Setup guide for redeployment on VPS or local machine Please feel free to reach out so we can discuss price and timeline. Best regards, Houssame

@hireageek

Hi there, I’m excited about the opportunity to create an AI-powered day-trading bot tailored to your unique needs! With my extensive experience as a top California freelancer, I have successfully completed numerous projects that involve high-frequency trading and robust algorithm design, consistently receiving 5-star reviews. I fully understand the critical requirements of a fast-paced trading environment, focusing on rapid data intake, signal generation, and tight risk management. I plan to leverage Python’s ecosystem—NumPy, pandas, and scikit-learn—along with broker APIs like Interactive Brokers or Alpaca to ensure seamless integration. It’s great to hear that you value clean, well-commented code, as I prioritize open communication and collaboration throughout the project. The modular architecture you envision for potential future integration with Binance is certainly achievable, and I’d love to finalize the details with you. Let’s discuss this further—I'm keen to hear how you envision the project structure and the technologies you prefer! What specific metrics are you looking to track on the real-time dashboard?

@zeljkoi6

Hi there, I'm excited about the opportunity to build an AI-powered day-trading bot tailored to your needs. With recent experience in developing similar trading algorithms using Python, NumPy, and broker APIs like Interactive Brokers, I'm confident in delivering a robust solution that handles high-frequency data intake and risk management. We'll work collaboratively to ensure clean, commented code and maintain open communication throughout the project phases for optimal performance. I can start by structuring the project around a modular design, ensuring future adaptability for Binance integration, and aim to deliver the initial version in a timely manner.

@djsmoothy

Hi there, I can help you build a clean, modular trading bot that handles fast intraday stock data, generates signals quickly, and routes orders with tight risk controls. I’ll structure the system so each layer—data intake, strategy logic, execution, and risk—stays separate, making it easy to plug in brokers now and Binance later. You’ll get clear, well-commented Python code, a back-tester that mirrors live logic, and a simple dashboard to track positions and exposure. We’ll refine the strategy side-by-side and move from paper trading to live once everything proves stable.

@ZohaibRoy

⭐⭐⭐⭐⭐ Build an AI-Powered Bot for Intraday Stock Trading ❇️ Hi My Friend, I hope you are doing well. I’ve reviewed your project needs and see you are looking for a solid AI-powered trading bot. You have no need to look any further; Zohaib is here to help you! My team has completed over 50 similar projects for trading bots. I will create a bot that handles high-frequency data, generates rapid signals, and manages risks effectively. ➡️ Why Me? I can easily build your AI trading bot as I have 5 years of experience in Python development, focusing on data analysis, algorithm design, and API integration. My expertise includes using libraries like NumPy, pandas, and TensorFlow. I also have a strong grip on broker APIs like Interactive Brokers and Alpaca, ensuring a seamless trading experience. ➡️ Let's have a quick chat to discuss your project in detail. I’d love to show you samples of my previous work! Looking forward to discussing this with you. ➡️ Skills & Experience: ✅ Python Development ✅ AI & Machine Learning ✅ Data Analysis ✅ Algorithm Development ✅ API Integration ✅ Risk Management ✅ Back-Testing ✅ Real-Time Dashboards ✅ Trading Strategies ✅ NumPy & Pandas ✅ TensorFlow & PyTorch ✅ Financial Metrics Waiting for your response! Best Regards, Zohaib

@sekai1116

Hi there, ✅ I have read your job detail carefully. ✅ I can build your AI-powered intraday stock trading bot end-to-end, focusing on fast data intake, rapid signal generation, and strict risk controls. I work primarily in Python with NumPy, pandas, scikit-learn/TensorFlow/PyTorch and have experience integrating with broker APIs like Interactive Brokers and Alpaca, plus modular architectures that can later extend to Binance via pluggable data/trading adapters. What I’ll deliver: Production-ready day-trading bot (modular core + clean strategy layer) Backtesting module with P&L, Sharpe, and drawdown metrics Real-time CLI or lightweight dashboard (open positions, exposure, stats) Built-in risk rules: max position size, hard stops, daily loss cap Deployment guide for low-cost VPS or local machine I’ll keep the codebase clean, well-commented, and work closely with you from strategy refinement to paper trading and live cut-over. The goal is at least one solid week of unattended paper trading with a reproducible trade log matching the backtest. Looking forward to collaborating on this build, Jiayin

@Zawiya3

As a tech savvy and multi-skilled professional, I can certainly build the AI Stock Day-Trading Bot of your dreams. Drawing upon my robust expertise in Python, I will leverage high-fidelity libraries like NumPy, pandas, scikit-learn or TensorFlow/PyTorch that are pivotal for creating and analyzing deep learning neural networks that your stock day-trading bot will be reliant on. Furthermore, my proficiency in utilizing broker APIs such as Interactive Brokers and Alpaca are absolutely in tune with your project requirements. In the unfortunate situation where alternative APIs become necessary, I assure you my adaptability and communication skills will keep our work flowing seamlessly throughout the process. In terms of project structure, I believe in maintaining open lines of communication and encouraging an iterative approach. We’ll work side by side refining the core logic while simultaneously introducing checks and balances for risk management. Mindful of your requirement to ensure future compatibility, we will focus on designing a modular architecture that allows for easy integration with platforms like Binance. My mastery over not just Python but also C++ can contribute significantly to this objective.

@draganm59

Hey jeramiah7, How are you! I've carefully checked your requirements and really interested in this job. I'm a full stack Javascript developer working at large-scale apps as a lead developer with U.S. and European teams. I'm offering best quality and highest performance at lowest price. I can complete your project on time and your will experience great satisfaction with me. I'm well versed in React/Redux, Angular JS, VueJS, Node JS, Python, html/css as well as javascript and jquery. Simply, I have rich experienced in C Programming, API, NumPy as you enumrated. For more information about me, please refer to my portfolios. I'm ready to discuss your project and start immediately. Looking forward to hearing you back and discussing all details. Thanks for giving opportunity, Dragan M.

@Engumer480

Having immersed myself in web and mobile development, as well as online marketing and advertising services, I'm now ready to venture into the thrilling world of AI Stock Day-Trading. Equipped with an impressive stack of skills including Python, Flask, AWS and Selenium among others, I've already laid the groundwork and I'm confident that this knowledge will be invaluable for your project. My proficiency with NumPy further guarantees exceptional data management- essential given the high-frequency nature of stock day-trading. Collaboration is key during such intense projects and I assure you, I'm no stranger to it. From refining the logic through live deployment, we'll progress side-by-side- a great advantage when it comes to iterating in Python. I am willing to adapt my approach to the solution according to your preferences. If you are open to using a different API than Interactive Brokers or Alpaca, we can have a detailed discussion about viable options. Lastly, while the first milestone concerns stock trading, my ability to separate data adapters from the strategy layer signifies that a modular architecture which can accommodate Binance and its unique data structure in future is well within my expertise. Stay ahead of time with me as we bring efficiency and accuracy to your stock day-trading operations. Let's get started!

@durgesh8527

As an experienced AI developer and full-stack engineer, I have the comprehensive skillset and proficiency in Python that you need for this project. Having built multiple high-frequency trading systems integrated with broker APIs like Interactive Brokers, I am well-versed in the complexities of market data processing, signal generation, and order routing. My expertise extends to using AI frameworks such as NumPy, pandas, scikit-learn, and TensorFlow/PyTorch which are essential for your project requirements. Furthermore, the modularity aspect you mentioned is where my abilities truly shine. I have prior experience designing trading architecture that can be easily adapted to different exchanges. Whether it's Binance or other platforms your strategies might diversify into in the future, I understand how to thoroughly separate the data adapters from the strategy layer for seamless integration with different APIs. This approach ensures that your system remains agile and adaptable regardless of changing preferences or scale. Lastly, my commitment to on-time delivery, transparent communication, and flexible mindset align perfectly with your need for clean code and open collaboration. As we refine the bot's logic together through live deployment, you can expect concise documentation, a user-friendly setup guide, a robust back-testing framework, and a sleek real-time dashboard reflecting all key metrics that allow you to make informed decisions.

@duncank52

Hi there — I’ve built live intraday trading bots in Python using broker APIs (IBKR/Alpaca), with modular architectures, strict intraday risk rules, and matching backtest/live logic. I’m very comfortable co-developing this with you, step by step, from idea to live deployment. You need: • AI-driven intraday equities bot (Python, NumPy, pandas, ML/DL stack) • Clean separation: data adapters, signal/AI layer, execution, risk • Backtesting with P&L, Sharpe, drawdown metrics • Real-time dashboard/CLI + robust logging • Tight risk controls (max size, hard stops, daily loss cap) Here’s how I’ll solve it: I’d structure the project as a package: data/ (broker + Binance-ready adapters), signals/ (ML models, features), execution/ (orders, throttling), risk/ (limits), and monitoring/ (dashboard + logs). Tech stack: Python 3.x, pandas, NumPy, scikit-learn/PyTorch, Alpaca or IB (ib_insync), plus a lightweight Streamlit or TUI dashboard. You’ll get a VPS-ready setup guide and a bot that runs unattended in paper mode for validation.

@Alesha1018

Hello, I have built production-ready intraday trading systems that combine high-frequency data ingestion, backtesting, and live broker integration with Alpaca and Interactive Brokers. My experience covers signal generation with Python (pandas/NumPy), robust risk-management layers, and reliable paper-to-live deployment workflows. I will deliver a modular Python package with separate data adapters, a strategy engine, a backtester that reports P&L/Sharpe/drawdown, a paper-trading harness for a full-week unattended run, a broker connector, a minimal realtime dashboard, and deployment instructions for a low-cost VPS. The plan includes unit and integration tests, Optuna-style hyperparameter hooks for strategy tuning, a one-week paper-trade acceptance phase, and clear cutover steps to go live while enforcing hard risk limits. Looking forward to working with you! Can we discuss this further via private chat? Warm regards, Alesha

@ayesha86664

Hi there! I see you need an AI-powered stock day-trading bot that handles fast intraday data, generates signals quickly, and manages risk tightly. Many trading bots fail when data handling, risk rules, or API integration aren’t robust. I can build a Python-based bot with modular architecture, separating data adapters from strategy logic for easy future expansion (e.g., Binance). It will include back-testing with clear P&L, Sharpe, and drawdown metrics, a real-time dashboard/CLI, and built-in risk management rules for safe live trading. Do you want me to start by designing the data and strategy modules for back-testing first? Let’s start now and develop a reliable AI day-trading bot ready for live deployment!