AI Day Trading Bot Development

@opencollar

Hi, I know how tricky it can be to get the timing right for high-risk trades, especially in fast-moving markets. Your focus on AI and quick decision-making made me recall how we built a multi-vendor marketplace that handles complex user flows smoothly. I will also ensure the bot can test its strategies before going live, to avoid costly mistakes. Do you want the bot to learn from real-time data dynamically or prefer a set of tested strategies? Let's discuss how we can craft a plan and create something bigger together. Regards, Nick.

@ZohaibRoy

⭐⭐⭐⭐⭐ Create an AI Trading Bot for High-Risk Day Trading Success ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project details and see you are looking for an experienced developer to create an AI trading bot for high-risk day trading. You don't need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for AI trading bots. I will use proven strategies and methods to ensure your bot effectively navigates the stocks and options markets. ➡️ Why Me? I can easily create your AI trading bot as I have 5 years of experience in AI and machine learning, specializing in trading algorithms. My expertise includes day trading strategies, backtesting, and working with trading platforms. Additionally, I have a strong grip on using APIs like Alpaca and Tradier to enhance trading performance. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. I look forward to discussing this with you! ➡️ Skills & Experience: ✅ AI & Machine Learning ✅ Day Trading Strategies ✅ High-Risk Trading Algorithms ✅ Python Programming ✅ Financial Market Analysis ✅ Backtesting Strategies ✅ API Integration ✅ Stock Market Knowledge ✅ Options Trading ✅ Algorithm Development ✅ Data Analysis ✅ Trading Platform Familiarity Waiting for your response! Best Regards, Zohaib

@MuhammadUzair16

Hi, I am a software engineer with over 16 years of experience developing Python applications, API integrations, automation systems, and data-driven trading solutions. I have extensive experience with Alpaca and Tradier, including market data, order execution, options workflows, position management, and paper-trading environments. I can build a configurable day-trading bot that combines defined strategy rules with AI/ML signals, then validates them through backtesting before enabling paper or live execution. The system will include risk controls, trade logging, performance reporting, and safeguards for position sizing, daily loss limits, and abnormal market conditions. Since high-risk should still mean controlled and measurable, I would begin by confirming your preferred instruments, timeframes, capital limits, and target strategy style. Similar financial projects contain proprietary client strategies and cannot be shared publicly, but relevant examples can be demonstrated privately. Please contact me to discuss details.

@OutsourceMan

As a seasoned backend developer with a speciality in Python, I'm excited at the prospect of building an AI day trading bot for you. My experience extends beyond simple code writing; I understand how crucial it is for your bot to not only function but thrive in the stocks and options markets. This is why I bring not just my coding acumen to the table, but also my deep understanding of these intricate financial landscapes. I've specifically worked with Alpaca and Tradier APIs, platforms you mentioned. Additionally, I have a solid background in AI and machine learning that aligns perfectly with your project needs. Be assured that my high-risk algorithm development skills have been sharpened over time, enabling me to create trading strategies tailored specifically for day trading. Furthermore, I'm well-versed in backtesting trading strategies which will ensure that your bot undergoes rigorous testing before it's deployed. To give you even more confidence in my capabilities, I would be more than happy to share some completed projects similar to yours for your consideration. Together, we can give your day trading endeavors an extra edge with artificial intelligence at the helm. Let's get started!

@umg536

Hello, With my background in AI, machine learning, and deep understanding of the financial markets, I am the ideal candidate to develop your high-risk day trading bot. Having worked on similar projects in the past, I'm well-versed in Python and proficient in programming AIs for sophisticated analysis and quick decision-making. Moreover, my experience with designing and implementing trading algorithms will be a great asset in delivering an AI bot tailored specifically for day trading. My proficiency with both Alpaca and Tradier APIs will enable me to incorporate real-time market data and relevant indicators into the algorithm. In addition to my technological skills, I bring a strong foundation in risk management. As we both understand, day trading is inherently risky; hence, it's crucial to have a trading system that balances both profit and loss potentials optimally. Overall, my dedication to fast execution, effective communication, and ability to solve complex problems under tight deadlines make me the best candidate for this project. Let's create a comprehensive solution that meets your trading goals while minimizing risks! Thanks!

@rohitpatidar001

Hello, I have **11 years of software development experience** designing and building scalable backend systems, API integrations, and high-performance enterprise applications using Java and Python. Your project is very interesting because it combines AI, financial market analysis, and automated trading. I have strong experience developing robust backend architectures, integrating third-party APIs, and building maintainable systems that can process data efficiently in real time. I can assist with: * AI-powered trading architecture * Integration with brokerage APIs * Real-time market data processing * Trading signal generation * Risk management modules * Strategy backtesting framework * Performance analytics * Clean, modular, and well-documented code My strengths include: * Java & Python development * REST API integration * Backend architecture * Database optimization * Financial data processing * Docker and cloud deployment * Scalable system design I believe in writing production-quality code with a strong focus on reliability, maintainability, and performance. Throughout development, I provide regular updates and milestone-based delivery to ensure transparency. I would be happy to discuss your preferred trading strategies, AI approach, brokerage integrations, and deployment requirements before starting development. I look forward to working with you. Best regards, Rohit Patidar

@ShaikhAneesa

Hi there, I understand you need an AI-powered trading bot for high-risk day trading in stocks and options, with seamless integration to Alpaca and Tradier for execution, market data, and automated decision-making. I am confident I can build a robust, data-driven trading system that emphasizes speed, reliability, and measurable performance. My approach will be to develop a modular trading engine using Python with AI/ML models, technical indicators, and risk-management rules tailored for day trading. I'll integrate Alpaca and Tradier APIs for real-time market data, order execution, and portfolio management, implement backtesting on historical data, optimize strategies using performance metrics, and build configurable trade parameters, logging, and monitoring to evaluate and refine performance before live deployment. The deliverable will be a production-ready AI trading bot with Alpaca and Tradier integration, automated trade execution, backtesting framework, configurable strategies, performance reporting, documentation, and a scalable architecture for future enhancements. Do you already have a trading strategy you'd like automated, or would you like me to help design and validate the strategy before implementation? I'm ready to start immediately. Warm Regards, Aneesa.

@devendrathakur12

Hello I have gone through your specific requirement for AI trading bot. I built something like this for a quantitative trading client with 50 plus live trading strategies. I would use event driven execution instead of polling because fast market moves can miss fills and create bad entries. I will build a Python trading service with Alpaca and Tradier integration plus backtesting before any live trades, at least that is where I would start. And I will validate every strategy with Backtrader because paper profits often fail in live markets. I can show private strategy reports and execution logs. Will this trade cash accounts or margin accounts? I want to get clear on your risk rules before starting. Free for a quick call today? Devendra Singh

@InterconnectBPO

I can develop a high-risk AI trading bot tailored for day trading in stocks and options, leveraging machine learning techniques to enhance decision-making and performance. Your focus on expertise in AI and day trading strategies aligns perfectly with my background. I understand the importance of creating algorithms that can adapt to the fast-paced market environment. With proficiency in Python and extensive experience in financial markets, I have successfully completed similar projects, including integrations with platforms like Alpaca and Tradier. We have 20+ 5-star reviews on similar projects! Looking forward to collaborating on this exciting venture. Regards, InterconnectBPO

@kabirchy

Hi there, I understand you're looking for a high-performance AI day trading bot capable of handling fast-paced stock and options markets. I’ve built several algorithmic trading systems using Python and C++ with real-time data integration from platforms like Alpaca, Interactive Brokers, and Polygon. My approach combines machine learning models (LSTM, Random Forest) for price prediction with robust risk management logic and backtesting frameworks to validate performance across market conditions. I’ll ensure the bot supports live strategy execution, adaptive position sizing, stop-loss mechanisms, and detailed trade logging. The architecture will be modular—scalable, maintainable, and optimized for speed. I’ll use Python for rapid prototyping and critical components in C++ for latency-sensitive operations. All code will be well-documented, version-controlled, and include clear instructions for deployment and monitoring. I'll also provide a comprehensive backtest report with metrics like Sharpe ratio, max drawdown, and win rate. Best Regards, Khorshed Alam, RS Software

@C0RETECHIES

Hi there, I understand you need an AI bot for high-risk day trading. The system will ingest live market data (stocks/options) via Alpaca or Tradier APIs, use an ML model to generate trade signals based on your strategy, and execute orders automatically. It will also manage positions with predefined stop-loss and take-profit triggers. Technical approach: Python backend (FastAPI) with Pandas and TensorFlow/PyTorch. We'll use broker SDKs for low-latency data streams and order execution, all containerized in Docker and run on a cloud server for reliability. Core modules: - Real-time Data Pipeline - ML Signal Generation Core - Trade Execution & Management Engine - Risk Control Module (position sizing, stop-loss) - Backtesting Framework Implementation strategy: First, we build a robust backtester to validate the core strategy. Next, we integrate with the live broker feed for paper trading. After performance validation, we proceed to a controlled live deployment with a small initial capital. 1. Do you have specific technical indicators (e.g., RSI, volatility metrics) that should form the basis of the initial strategy? 2. What is the target latency from signal generation to order execution? Are we aiming for sub-second performance? 3. For backtesting, will you provide historical tick-level data, or should data sourcing be included in the scope? Regards, Rohit

@starttechno

AI day trading bot development for stocks and options is a strong fit for my Python, AI integration, financial data, API, and backtesting experience. I can build a focused MVP around Alpaca and Tradier with market-data ingestion, options-chain handling, configurable entry/exit rules, position sizing, stop-loss/take-profit logic, and paper-trading execution before any live deployment. I’ll use Python with a modular strategy engine, broker adapters, pandas/NumPy for data processing, and a backtesting layer that accounts for commissions, slippage, spread, and realistic order fills. The bot can generate AI-assisted signals, but deterministic risk rules will remain in control. I’ll also include daily loss limits, maximum exposure, duplicate-order protection, a trade log, alerts, and an emergency kill switch—especially important for a high-risk day-trading system. My relevant work includes Python financial-data integrations, automated analytics, API-driven execution workflows, and backtesting prototypes. I’ll first validate the strategy on historical data, then connect Alpaca and Tradier paper accounts and provide clear configuration instructions and test results. The initial delivery will be structured so additional strategies can be added without rewriting the broker or risk layers. Do you already have a specific day-trading strategy or should I implement the initial rules from your risk preferences? Muhammad Saad

@gotucat

Hi, I reviewed the project to build an AI day trading bot for high-risk stocks and options, connected to Alpaca and Tradier, with robust backtesting and strategy validation. I’ll design the trading system using Software Architecture and API Integration in Python, implement data analysis pipelines, then create backtesting workflows to evaluate strategies before live execution in trading platforms. I can deliver clean, well-structured code with reliable API handling and fast iteration so you can trust results under changing market conditions. Let’s discuss here now.

@ykarora26

With a deep understanding of AI and machine learning, as well as hands-on experience in developing high-risk trading algorithms, I am well-equipped to create a custom AI trading bot for high-risk day trading in stocks and options markets. Could you share more details about the specific trading platforms you intend to integrate with for this project? Thank you. Regards, Yogesh Kumar

@sufyanasmat38

Hi, this is a solid fit — Python-based trading systems with Alpaca/Tradier integration are exactly the kind of build I focus on. Approach: Strategy engine in Python, backtested against historical intraday data before any live capital touches it — no strategy goes live without a documented backtest showing edge, drawdown, and win-rate stats. Alpaca/Tradier API integration for both paper and live execution, with clean abstraction so strategy logic isn't tightly coupled to either broker (useful if you want to compare execution quality between them later). Risk management built in as a hard constraint, not an afterthought: position sizing rules, per-trade and daily loss limits, and an automatic kill-switch if drawdown thresholds are breached — critical for high-risk day trading where a single bad session can wipe out gains. ML component (if the strategy is signal-based) trained and validated on out-of-sample data to avoid overfitting to historical noise — a common failure point in trading bots that look great backtested and fall apart live. Logging and monitoring dashboard so every trade decision is auditable after the fact. Happy to share relevant algorithmic trading/backtesting work and walk through the risk-management architecture in more detail on a call.

@Muhammadzeesha59

Hello Sir/MAM I am a Skilled Full Stack Developer. Having rich experience in Java , C++ , C , C# , Python , Eclipse , Sql , Mysql , .Net ,Oracle , Object Oriented Programming , Data Structure , Algorithms, Linux , Windows , Cloud , Azure . I have a perfect grip on “Artificial Intelligence” “Automation” , and work in “Machine Learning” Deep Learning “Computer Vision ” Object Detection”. My track record as demonstrated in my 100% job completion and 5-star review rating showcases My ability to deliver exceptional results on time and with utmost quality I believe that my skill set makes me the ideal candidate for this project Please come on chat we will discuss more about this I will be waiting for your reply . Thanks and Best Regards

@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

@PINESCRIPTERR

Hi, I can develop a modular Python trading system integrating Alpaca for market data/equity execution and Tradier for options chains, Greeks, order placement, and account events. The workflow would separate data ingestion, signal generation, position sizing, execution, portfolio state, and monitoring. Rather than treating “AI” as a black box, I would compare rule-based baselines with validated ML models using walk-forward testing, out-of-sample evaluation, realistic spreads, slippage, commissions, and safeguards against look-ahead bias. For high-risk intraday trading, the system still needs strict controls: maximum position size, daily loss limit, exposure caps, liquidity filters, stale-data checks, duplicate-order prevention, options spread validation, emergency shutdown, and mandatory end-of-session liquidation. Every signal, order, fill, rejection, and model decision will be recorded in an audit log. Delivery would include paper-trading support, reproducible backtests, configurable strategies, secure API-key handling, documentation, and a dashboard or reports showing P/L, drawdown, win rate, exposure, and execution quality. Live activation would occur only after paper validation; no profitability can be guaranteed. Relevant work samples can be shared where confidentiality permits. Question 1: Will the bot trade equities, single-leg options, spreads, or all three? Question 2: What maximum daily loss and account exposure limits should be enforced? Regards, Houssame

@teodorgeorge

Hello, I have worked on trading automation using Python, broker API Integration, and backtesting workflows for fast market decisions. Your need for an AI day trading bot, stocks and options logic, and Alpaca or Tradier connectivity is clear. I will structure the strategy engine, risk rules, and order flow so high-risk settings are controlled and testable before live use. If Java components are needed around data services or execution, I can keep them clean and connected to the main system. Best regards, Teo