AI Multi-Asset Trading Bot

@Microlent

Hello, I am an experienced AI developer specializing in quantitative trading systems, with expertise in building ML-driven bots that handle multi-asset signals and executions across equities and crypto using Python, TensorFlow/PyTorch, and modular APIs for seamless integration. What I Offer: A dual-mode trading bot that generates high-probability signals (mode 1) or auto-executes trades (mode 2), powered by a core engine analyzing Volume, Stochastic RSI, VWAP, candlesticks, price action, option Greeks, and OI data. I'll implement quantitative filters for 1:2/1:3 RR ratios, connect to your five APIs (modular for extensibility), include real-time data ingestion/feature engineering/inference, P&L monitoring via a lightweight dashboard, and robust backtesting with Zipline/Backtrader. Scope of Work: Data ingestion and feature engineering from APIs, with ML model training/fine-tuning (transformers for pattern recognition). Build modes for signals/auto-trading with risk management enforcing RR constraints. Develop API connectors, configurable modules, and dashboard for monitoring. Provide full tested code, docs on logic/deployment/maintenance, ready for paper testing. Timeline: 4-6 weeks, with agile milestones for backtesting and live readiness. Ready to review your APIs and dataset—let's align on specifics! Best regards, Vicky Keswani

@OutsourceMan

⭐⭐⭐⭐⭐ Hello Valuable Client, Your project aligns perfectly with our expertise. At CnELIndia, we specialize in building modular, API-driven architectures, ensuring seamless integration with the three equity brokerages and two crypto exchanges. Our team can implement the live data ingestion pipeline, real-time feature engineering, and trading execution modes with latency-sensitive design. Raman Ladhani’s experience in quantitative finance and risk management complements this by developing the RR-focused layer that filters setups, integrates option Greeks and open interest, and enforces 1:2 or 1:3 constraints. Together, we’ll build the deep-learning engine in TensorFlow/PyTorch, wrap it with a robust backtesting framework like Backtrader, and design a dashboard for real-time P&L, drawdown, and RR monitoring. We’ll also deliver fully tested source code, detailed documentation, and a configurable risk module, ensuring the system is scalable, transparent, and production-ready. This joint approach guarantees both technical robustness and financial rigor for your trading bot.

@kamran2012

Hello, I can develop your multi-asset trading bot to handle real-time data streams, execute trades across different markets, and manage strategies with strong risk controls. The bot will be modular so you can plug in multiple exchanges/APIs, and it will include features like backtesting, live strategy execution, and performance dashboards. Security will be prioritized with encrypted API key storage and role-based access if multi-user support is needed. Questions: – Which exchanges or brokers do you want the bot to integrate with first (Binance, Coinbase, Interactive Brokers, etc.)? – Should the MVP include a basic UI/dashboard, or just a command-line/console tool for now? – Do you want AI/ML-based strategy modules from the start, or begin with rule-based trading logic and add AI later? I am a TOP Rated Freelancer, and you can check my reviews here as well: https://www.freelancer.com/u/kamran2012 Looking forward to potentially working together on this project. Thanks and Best regards, Kamran.

@ntsolutions

Dear Client, We, at N&T Negocios y Tecnologias s.r.l., bring over 20 years of experience in the IT industry, specializing in the development of web, mobile, blockchain, and AI projects. We have a proven track record of delivering high-quality solutions to our clients. We have carefully reviewed the project description for the AI Multi-Asset Trading Bot that you are looking to develop. Based on our expertise and experience, we propose the following solutions for this project: 1. Development of a machine-learning-driven trading bot that generates high-probability trade signals and executes trades automatically. 2. Integration with five different APIs from three equity brokerages and two crypto exchanges to ensure modularity and easy scalability. 3. Utilization of Python, TensorFlow or PyTorch for deep learning, and a robust back-testing framework such as Zipline or Backtrader. 4. Real-time data ingestion, feature engineering, model inference, trade suggestion, automated order placement, and continuous monitoring of P&L, draw-down, and risk-to-reward ratios. 5. Delivery of fully tested source code, API connectors for all platforms, a configurable risk-management module, and comprehensive documentation. After considering the requirements of the project, we recommend using Python for development, along with TensorFlow or PyTorch for deep learning capabilities. We believe this combination of technology will best suit the needs of the AI Multi-Asset Trading Bot. We are confident in our ability to deliver a high-quality solution that meets your expectations. We are eager to work on this project and are ready to get started immediately. We look forward to your positive response. Thank you for considering our proposal. Sincerely, N&T Negocios y Tecnologias s.r.l.

@VirasatSolutions

Hello, I’d be glad to assist with building your machine-learning–driven trading bot that can operate in both signal-generation and auto-trading modes. With strong expertise in Python, TensorFlow/PyTorch, and quantitative finance, I specialize in creating scalable, low-latency trading systems across equities and crypto. ++ What I’ll deliver: • Modular trading engine with two modes (signals + auto-execution). • API connectors for three brokerages and two crypto exchanges. • Real-time data ingestion, feature engineering, and inference pipeline. • Risk-to-reward filtering layer (1:2 or 1:3 enforced) before trade execution. • Back-testing and paper-trading setup with Backtrader/Zipline. • Configurable risk management module for P&L and drawdown monitoring. • Lightweight dashboard for live trade and performance tracking. • Clean, documented code with deployment + maintenance guidelines. Why choose me? I’ve successfully delivered AI-driven trading solutions with modular architectures, robust risk controls, and scalable performance. My approach is detail-oriented and built for both immediate testing and long-term maintainability. Looking forward to collaborating and bringing your trading bot vision to life. Best regards, VS

@Mahihassi

As an accomplished Electrical Engineer with a Master’s degree in Embedded Systems, I possess the unique amalgamation of skills you need for this AI Multi-Asset Trading Bot project. With expertise in Microcontrollers, FPGAs, Machine Learning and Deep Learning I will be instrumental in designing a Python-based deep-learning logic incorporating TensorFlow or PyTorch to build a robust back-testing framework tailored specifically to your needs. In addition to my technical skills, I have a deep understanding of multiple trading platforms, risk management and a passion for quantitative finance. This provides me the ability to fully leverage raw data including Volume, Stochastic RSI, VWAP, candlestick patterns and option Greeks for precise decision-making and rewarding performance ratios. But why choose me? Beyond my technical savvy lies my commitment to deliver not just under defined requirements but beyond what is expected. I am also well-known for my efficient problem-solving approach and guarantee to deliver fully tested source code with clear setup instructions, API connectors for all five platforms and comprehensive documentation covering all aspects of the project.

@webmasters486

Hey, I understand you’re building a machine-learning–driven trading bot with modular architecture that connects to multiple brokerages and exchanges. Having worked with Python, TensorFlow/PyTorch, and back-testing frameworks like Backtrader and Zipline, I can help design a robust system that handles real-time data ingestion, feature engineering, and model inference while keeping risk-to-reward ratios consistent at 1:2 or 1:3. I’ll ensure the bot runs smoothly in both signal-generation and auto-trading modes with a clean, extendable structure for future API integrations. Risk management will be baked in with configurable modules, and I’ll provide connectors for your chosen equity and crypto platforms. A lightweight dashboard will display live P&L, draw-downs, and performance metrics so you always have clarity on system behavior. My focus is clean, modular code and well-documented workflows so your testing and eventual deployment run without friction. I’m confident I can deliver a trading bot that aligns with your strategy and scales effectively. Looking forward to your response. Best regards, Muhammad Adil Portfolio: [https://www.freelancer.com/u/webmasters486

@pablomontoro040

I hope this message finds you well. We are confident that our expertise and experience align perfectly with the requirements of this project. Please find attached all relevant documentation, including a detailed outline of our approach, timeline, and cost breakdown. Should you require any further information or have any questions, feel free to contact us at your earliest convenience. Thank you for considering our proposal. We look forward to the possibility of working together. Sincerely

@adnank30

Hi, As a seasoned financial analyst, my skill set is perfectly aligned with your project needs. I have a deep understanding of the quantitative finance concepts and tools that your trading bot requires, including dataset incorporation and analysis such as Volume, Stochastic RSI, VWAP, candlestick patterns, and pricing dynamics. Through the use of Python and frameworks like TensorFlow or PyTorch, I will ensure that your core technology harnesses the power of AI effectively for real-time trading decisions. Moreover, my experience in statistical analysis has conditioned me to maintain a sharp eye on risk management and maintain optimal reward ratios - exactly what you need for this bot. I have also previously worked on similar projects in cryptocurrency trading, equipping me with a unique ability to connect your trading bot to five different APIs seamlessly. Finally, my commitment to robust testing coincides with your requirement of thoroughly vetting the bot through paper testing before going live. With me on board, expect nothing less than an exceptional deliverable: fully-tested source code complete with comprehensive documentation. Let's maximize your trading profits and minimize risk together with this multi-asset trading bot project. Thanks.

@pavlob747

I HAVE READ YOUR JOB DETAIL CAREFULLY AND UNDERSTOOD ALMOST. I have done a lot trading bot before so I have deep knowledge about this field. I will share you my trading bots while discussing . I will wait for your response. Thanks.

@shrigenesiss

Hello, I came across your project for a multi-asset AI trading bot, and your requirements are very clear. The concept of modular signal generation and automated trading with robust risk management is compelling. With 12+ years of experience in AI and trading system development and 1000+ projects delivered worldwide, I can build a secure, scalable, and high-performance bot that integrates multiple broker/exchange APIs and implements advanced quantitative strategies. Happy to discuss bringing your trading bot to life efficiently.

@Visharaa2024

As an experienced and passionate developer with a background in AI implemention and software architecture, I believe I'm the ideal candidate for your project. Over the past 8+ years, I've successfully delivered over hundreds of mobile and web applications, many requiring customizable and complex integrations with APIs, similar to what you're aiming for. I strongly believe my expertise puts me in a prime position to take on this task and complete it to your utmost satisfaction. Your project relies heavily on TensorFlow or PyTorch for the deep-learning logic as well as a durable back-testing framework. These are areas in which I have prominent knowledge and command, having used similar technology stacks in a plethora of projects before. Whether it's Python, TensorFlow, PyTorch or another stack that meets your needs best, rest assured that I can adapt to any environment without compromising on the latency and reliability that you require for both stocks and crypto.

@paruls154

Hi Drawing from my decade-long experience as a full-stack web developer with core expertise in Python and API development, I can confidently say that I am an ideal candidate for your AI Multi-Asset Trading Bot project. Python is the backbone of my tech stack, and I'm well-versed in using Python libraries such as TensorFlow and PyTorch to implement deep-learning logic. On top of that, my knowledge of building robust back-testing frameworks will ensure that your bot functions with utmost reliability and accuracy. Let's not forget the crucial aspect of "Big Picture." Your mention of paper testing for significant samples aligns perfectly with my belief in responsible development. Assuring code quality and functionality is second nature to me, thus paving the path for successful live implementation. With aspect-aligned skill sets and a strong commitment to delivering impactful work in a timely manner, I'm ready to hit "BUY" on this exciting project! Regards Parul Saini

@bilal0356

With my solid understanding of API development, particularly in Python, I feel confident in being able to take on your AI Multi-Asset Trading Bot project. I have experience working with a wide range of APIs and am comfortable navigating multiple platforms simultaneously. This adaptability will prove vital considering your requirement for the bot to connect to five different APIs. In addition to API development, my background in quantitative finance and data analysis allows me to leverage crucial insights from various channels, getting the trade signals and executing them profitably. Furthermore, I’ve worked extensively with deep learning frameworks such as TensorFlow and PyTorch, which aligns with your preference for core tech stack choices. Finally, my commitment to delivering fully tested, scalable and reliable applications - paired with documented instructions for setup, deployment and maintenance - will ensure that not only is the project delivered successfully but is also future-ready. Let's adopt a paper-testing first approach, haute it matches defined return-to-risk ratios statistically significantly over a sustainable time frame before transitioning to live trading. I'm ready to be the catalyst in turning your concept into a functioning AI trading system.

@Ravindra975

As a software engineer with a vast array of skills and experiences, I believe I am an ideal candidate for your AI Multi-Asset Trading Bot project. Despite not having specific experience in finance and trading, my knack for understanding clients' unique needs and delivering personalized solutions will be highly valuable in creating exactly what you're looking for. I have a deep-rooted passion for developing robust, secure, scalable architectures where Python and related technology stacks are my forte. My strong grip on languages like PHP and .NET infuses stability in the backend systems. On the other hand, my flair for HTML, CSS, JavaScript, React, etc., ensures your frontend interface is dynamic and neatly aligned with your vision. Regarding your project's operational flow—I am already tuned into working with Live data, Feature engineering, Risk management operations through my expertise. Also proficient in API connectors across various platforms (though I do not have direct experience with your primary APIs), adhering to your strict RR ratio constraints is aligned with my core mission - exceeding client's expectations by delivering excellent results that drive success. While finance-specific technical skills may be essential in some roles, what I lack I make up for in my passion to learn quickly, adapt to new domains and develop skill sets where required. This combined with my consistent drive to ensure clear communication eCommerce/shopify

@azharjafri

I've successfully built similar ML-driven trading bots using PyTorch and Backtrader, achieving consistent 1:3 risk-reward ratios on comparable datasets. Your project's modularity requirement aligns perfectly with my experience in designing scalable, API-integrated systems for financial markets. I'm confident I can deliver a robust solution. My approach involves a microservices architecture in Python, leveraging PyTorch for deep learning, Backtrader for backtesting, and REST APIs for seamless integration with your five brokerage/exchange platforms. Real-time data ingestion will be handled efficiently using asynchronous programming, ensuring low latency. The risk management module will be built-in, enforcing your 1:2/1:3 RR constraints. To ensure we're on the same page, could you clarify your preferred deployment environment (cloud, on-premise)? Also, what's your preferred method for data visualization on the dashboard? Let's schedule a brief chat to discuss this further; a quick call would be great if that works for you.

@digitrixsoftware

Hello, I can build your ML-driven trading bot with two modes: signal generation and automated execution. The core engine will be modular, connecting to three equity brokerages and two crypto exchanges, while staying extendable for future platforms. Deliverables Real-time API connectors for all five platforms Python-based ML engine (TensorFlow/PyTorch) with feature engineering on Volume, Stochastic RSI, VWAP, candlesticks, option Greeks, open interest Configurable risk-management module enforcing 1:2–1:3 risk/reward ratios Dashboard for continuous P&L, drawdown, and RR monitoring Fully tested source code, setup instructions, and detailed documentation I’ll implement a robust backtesting framework (Backtrader/Zipline) to validate strategies before live deployment. Clean, maintainable code with modular architecture ensures you can update or expand the bot easily. I’m ready to start immediately and deliver a production-ready, paper-tested bot meeting all your RR and reliability requirements. Best Regards, Bhavik Patel