AI-Driven Mobile Trading Platform Creation

@joomextensions

Hi, I build trading systems and can deliver this with Flutter for mobile and web, Spring Boot as the core backend, and a Python service for AI and quant analysis. Features: demo and live modes, broker API integration (Zerodha Kite, Angel One, Upstox or MT5), real-time data over WebSockets, indicator and quant signals, news sentiment via LLM, and a decision engine giving BUY, SELL or NO TRADE with position sizing, stop-loss and daily loss limits. Portfolio P&L, trade history and push alerts. The admin panel controls users, strategies, risk limits, broker keys and reports. The posted budget fits a phased plan, starting with demo mode. Which broker and market? Regards, Harsh Thoriya

@raheel2k29

Hello, I’m interested in developing your AI-powered trading platform for mobile and web, including the trading engine, broker integration, AI analysis, risk management, portfolio tracking, notifications, and administration panel. I understand that this is not just a trading UI. The platform needs a reliable backend capable of handling real-time market data, trading decisions, broker APIs, user accounts, risk controls, trade execution, and detailed activity tracking. I can provide the complete source code, database structure, API documentation and deployment documentation as part of the completed project. One important point: the scope described is a substantial production application, so I would first review the preferred broker, market/data provider, target markets, and exact AI strategy requirements before finalizing the implementation plan and timeline. I’m ready to discuss the architecture and start with the first milestone. Best regards, Raheel

@mrresearcher99

Hello, I’m a full-stack developer with 10 years of experience building secure, scalable applications involving AI integrations, APIs, dashboards, and data-driven workflows. For this trading platform, I recommend Flutter for the mobile experience with Java/Spring Boot for the backend and a dedicated AI/ML layer for market analysis and strategy processing. I would build separate demo and live trading environments, secure broker API integrations, real-time market data handling, technical and quantitative analysis, portfolio/P&L tracking, trade history, risk controls, and notifications. AI workflows can evaluate market and research data while enforcing configurable risk limits before trade execution. The admin panel will provide centralized control over users, strategies, accounts, trades, APIs, and system activity. My focus will be secure coding, clean architecture, performance, scalable APIs, reliable data handling, and cloud deployment. I’d be glad to discuss the trading workflow and technical roadmap. Best regards

@jayantkumar314

As a Senior Software Engineer with over six years of experience, I can assure you that your AI-Powered Mobile Trading Platform is in safe hands. With expertise in cutting-edge technologies such as NestJs, NextJs, ReactJs, Angular, Laravel and Codeigniter - to name just a few - I have successfully built several websites from scratch to hosting, including robust API integrations. Furthermore, my proficiency in Flutter and Java/Spring Boot will be useful for creating a powerful backend AI/ML system – exactly what you want for your project. When developing any platform, efficient risk management and user-friendly UI/UX are of paramount importance. My extensive knowledge of Javascript、Python、SQL and AWS etc uniquely positions me to meet these objectives while adhering to the best security practices. Last but not least, as someone who believes in long-term relationships, I understand the value of delivering not only an exceptional end product but also equipping clients with complete documentation and deployment support for continued success. I am eagerly looking forward to collaborating with you on this project and ensuring it makes a significant impact in the trading sector.

@pinkeegupta

Hi I will be able to help you. Please message me so that we will have detail technical discussion. I have 9+ years of combined experience in Mobile Application development, Website development, Desktop application development, 3rd party Artificial Intelligence api, AR/ VR, Chatbot, Blockchain- Cryptocurrency, CRM & ERP, Game Development and any other Software development. Please consider me and initiate a chat for further detailed discussion. Regards, Anju Logical Soft Tech Pvt Ltd, Indore(M.P)

@Jennycreation

Hello Sir, I have already worked on similar types of website and software development projects and I am confident that I can successfully handle your project. I am a full-time freelancer with **17+ years of experience** in web development, software development, automation, and API integrations. My expertise includes: * Android app development * ASP.NET C# web and software development * Python automation and web scraping (Amazon, Instagram, Facebook, Google Maps, LinkedIn, Telegram, and other custom scraping solutions) * JavaScript, jQuery, AJAX, Bootstrap, HTML5 * Microsoft SQL Server database development * Payment gateway integration * SMS, Email, Banking, Financial, and Insurance API integration * Custom automation bots and workflow automation software I focus on delivering **high-quality, scalable, and reliable solutions** with clean code and long-term support. Please contact me in private chat so we can discuss your requirements in detail. I can also show you a **demo of similar projects** I have completed. Looking forward to working with you. Thanks & Regards

@ssquare489

For an autonomous BUY/SELL/NO TRADE platform, I’d keep AI market analysis separate from the execution and risk engine so every live order must pass deterministic limits before reaching the broker API. My priorities would be scalability and integrations. Flutter fits well for mobile/web, with Spring Boot handling users, portfolios, orders, broker integrations, strategies, risk rules, and audit trails. I’d use a separate Python AI/ML service for technical, quantitative, news, and research analysis, while WebSockets handle real-time market data and position/P&L updates. Demo and Live modes should share the same strategy pipeline but use isolated execution adapters, preventing simulated activity from ever reaching live broker accounts. The admin panel would provide control over users, strategies, API settings, risk limits, trades, notifications, reports, and system activity, with role-based permissions and complete logging. A relevant project is a live stock-market analysis website I developed using the GDFL WebSocket API for real-time market data and analysis workflows.

@nikkibraiam

Hi, I'm an AI-powered trading platform developer with 11+ years of experience in Flutter, Java/Spring Boot and production ML pipelines (Software Architect background). I understand the real challenge here: a full trading platform with broker integration, AI decision logic and an admin panel is a serious build — to get it right and production-ready, I recommend a focused Phase 1 first (core trading engine, demo mode, and basic admin controls) rather than compressing the entire scope into one pass. What I'll deliver in Phase 1: ✓ Flutter app with demo trading mode + broker API integration ✓ AI-based signal engine (technical + basic quant analysis) ✓ Risk management and P&L/portfolio tracking ✓ Core admin panel (users, strategies, risk limits) ✓ Documentation & deployment guide I've built this type of system before. I work fast (12 days for Phase 1), don't ask questions mid-project, and deliver exactly what you need—nothing less. Let's build this right.

@albert1025dev

==== Hi - Albert here ==== "AI-POWERED AUTONOMOUS TRADING APP" — you need a secure mobile platform that connects market data, broker APIs, AI analysis, automated decisions, risk controls, and portfolio management in one reliable flow. I’d structure Flutter for the mobile clients, Spring Boot for authentication, trading orchestration and broker integrations, and a separate AI service for technical, quantitative, and news-based analysis. I’d keep risk checks server-side before any live order, isolate Demo and Live modes, and add audit logs around every decision and trade for traceability. Can you confirm which broker APIs and market-data providers you plan to integrate first? Looking forward to work with you

@ayushsoftcare

As an experienced developer trained in a variety of coding languages, including Flutter, iPhone, Java, PHP, and more, I am confident in my ability to bring your AI-powered trading platform to life. From the ground up, I will create a professional and secure mobile/web app that satisfies all your outlined project requirements. One of the standout assets I bring to this project is my knack for high performance at friendly prices. This not only pertains to actual code-writing, but also extends to timelines and comprehensive documentation. Ensuring the project remains on track and that you understand the processes is as important as delivering quality work. Having worked with startups and small businesses before, I'm also well-versed in lead generation and communication. I understand the importance of staying ahead of the curve in this increasingly tech-driven world – your business needs an asset like this AI-driven mobile trading platform. The app I build will be not only production ready and scalable but crafted with a keen focus on end-user experience so it's suitable for commercial publishing. Consider me as your perfect partner for this venture.

@ApieTech

An AI-assisted trading platform with demo and live modes, broker API integration, real-time data, automated BUY/SELL/NO TRADE decisions, risk management, P&L and an admin panel over users, strategies, risk limits and broker settings. The architecture point that matters most: demo and live must run the exact same decision and execution path, differing only in the broker adapter. If demo is a separate simplified code path, results will not transfer and users lose trust the first week. Order placement also needs idempotency keys and a server-side kill switch per user and globally, so a bad strategy or a stuck loop cannot keep firing orders. On risk management - position sizing, daily loss caps and max exposure belong server-side, enforced before the broker call, never in the app. That is what makes this commercially publishable rather than a liability. Stack: Flutter fits well for mobile. We would suggest Node or Python for the backend rather than Spring Boot, purely because the AI and quant tooling ecosystem is stronger there - happy to use Java if you have a reason to prefer it. Experience: we built a crypto trading platform for BrightFunded, and ML work for an EdTech client under NDA. Team of 20. One question: which broker, and does its API support the order types your strategies need? - APIE Technologies

@DeMit19

Your trading app has one job: make fast decisions without turning risk management into an afterthought. I have 10 years of software engineering experience with Java, Python, cloud systems, and Azure OpenAI. That fits your preferred Spring Boot stack and the AI layer needed for market, technical, quantitative, and news analysis. I’d separate execution, AI signals, broker integrations, and risk controls so Demo and Live modes stay isolated and testable. The admin panel would manage strategies, limits, users, trades, API settings, and system activity from one place. For a production-ready first release, I’d estimate $15,000–$20,000 and 10–12 weeks including testing, documentation, and deployment support. Which broker APIs do you want supported in the first release?

@liamc081

Hi, Liam here from Dallas. I understand you need a production-ready AI trading platform for mobile and web with demo/live trading, broker APIs, market data, AI analysis, automated trade decisions, and portfolio tracking. It also needs a separate admin panel for users, strategies, risk controls, trades, APIs, reports, and system management. The main priorities are secure trading execution and reliable real-time data. Risk management, scalability, auditability, and stable AI decision workflows are also critical. I’ll build the platform with Flutter, Java/Spring Boot, and a suitable AI/ML backend. I’ll integrate broker APIs, market data, analysis, risk controls, notifications, database, admin panel, testing, deployment, and documentation. I have experience with Python AI applications, APIs, databases, automation, and data-processing workflows. I also work with authentication, third-party integrations, debugging, testing, Git, and production deployment. A few questions to better understand the scope: Q1. Which brokers and markets should be supported first? Q2. Which AI strategies or trading rules should guide decisions? Q3. Will live trading require fully automated order execution? Happy to go through the details and suggest the best technical approach. Looking forward to hearing from you.

@Weiw71

I can take care of ‘AI-Driven Mobile Trading Platform Creation’. I’ll reproduce the integration flow, implement the required endpoint/auth/error handling, and verify the happy path plus failure cases, then deliver working source/configuration with test evidence and concise setup notes. The listed stack (PHP, Java, Mobile App Development) fits that delivery path. I can start immediately; proposed turnaround is 2 days. If you have one priority sample or edge case, I’ll use it as the acceptance check.

@ramasht

An AI trading platform needs more than smart predictions. It needs disciplined risk controls, reliable data, and a system that knows when not to trade. Hello, I’m an experienced freelance developer with hands on experience building mobile apps, backend systems, API integrations, and AI powered features. Your project caught my attention because it combines trading, automation, real time data, and risk management into one serious product. I can build the Flutter mobile application with Java Spring Boot backend, broker integrations, market data, portfolio tracking, trade history, notifications, and a separate admin panel. The AI layer can combine technical, quantitative, and news based analysis while keeping Demo and Live Trading clearly separated. My workflow includes modular development, secure API handling, sandbox testing, automated testing, deployment support, and clear documentation. I’ll also design the system so strategies and risk limits can evolve without rebuilding the entire platform. For extra value, I’d add detailed decision logging so every automated BUY, SELL, or NO TRADE decision can be reviewed later. Let’s build a production ready platform with safety and transparency at its core.

@robertor99

Your platform needs a dependable trading workflow connecting market data, strategy decisions, risk checks and broker execution, with clear separation between demo and live accounts. My skills cover Flutter, Java/Spring Boot, Python, AI/ML and API integration. I propose Flutter for mobile/web, Spring Boot for accounts and trading services, a Python analysis service, and PostgreSQL for portfolio, trade and audit records. The complete delivery would cover: • Demo/live modes and one agreed broker/market-data integration. • Technical, quantitative and news analysis using agreed data sources and strategy rules. • BUY/SELL/NO TRADE signals gated by configurable position and loss limits. • Portfolio/P&L, trade history and notifications. • An admin panel for users, strategies, risk limits, API settings, activity and reports. • Source code, database migrations, API documentation and deployment handover. I’ll deliver in milestones: core platform and demo trading; analysis and risk controls; broker execution and admin; then testing, deployment and handover. Testing will cover duplicate orders, rejected orders, stale data, reconnects and reconciliation, with a live-trading stop control. I’ll validate strategies in simulation before live enablement; no profit guarantee is implied. Share the selected broker, markets, strategy requirements and deployment targets, and I’ll confirm the full delivery schedule and acceptance criteria.

@shahbazzzkhan

Hello, I have experience developing Flutter applications with secure backend integrations and scalable architectures. I can help build your AI-powered trading platform with Demo & Live Trading modes, broker API integration, real-time market data, portfolio tracking, notifications, and a comprehensive admin panel. ✔ Demo & Live Trading modes ✔ Broker API integration and real-time market data ✔ AI-based market analysis and trading signals ✔ Automated BUY / SELL / NO TRADE decision workflows ✔ Risk management and portfolio tracking ✔ Trade history, reports, and notifications ✔ Admin panel for user, strategy, and system management ✔ Secure, scalable Flutter + Spring Boot architecture ✔ Complete source code, documentation, and deployment support I can start immediately and would be happy to discuss the project requirements in detail.

@nabeeli18

Greetings I understand you're seeking a skilled team to develop an AI-driven trading platform for mobile/web with extensive features and robust functionality. We have successfully completed similar projects, ensuring high performance and user satisfaction. Your project goals are clear: creating a comprehensive trading experience that combines demo and live modes, broker API integration, and advanced analytical capabilities. We can address all your requirements by implementing a secure, scalable, and user-friendly solution tailored to your specifications. I bring experience in developing complex applications using Flutter and Java/Spring Boot, alongside expertise in AI/ML integration, ensuring the final product is production-ready and meets industry standards. I'd love to chat about your project and suggest a follow-up discussion to explore how we can bring your vision to life. Regards, Nabeel Ismail

@krnishant16

Hello, I’m Nishant Kumar, I have 9+ years of experience, I am a Java/Spring Boot developer with hands-on experience building REST APIs, microservices, AI-powered applications, financial-data systems, PostgreSQL databases and cloud-deployed solutions. My latest project, **Stock Intelligence V1**, is a Spring Boot financial market intelligence platform for NSE/BSE stocks. It integrates market-data and news APIs and provides AI-powered stock analysis, scheduled daily/weekly/monthly reports, critical alerts, monitoring, API rate-limit handling, fallback mechanisms, PostgreSQL/Flyway, Swagger APIs, Docker and cloud deployment. I have experience with Java 21, Spring Boot, REST, gRPC, Kafka, PostgreSQL, AI/LLM integration, third-party APIs, scheduled processing, Docker and production-oriented backend architecture. For your project, I can contribute to the backend for broker/API integration, market data, AI market analysis, technical/quantitative analysis, news analysis, BUY/SELL/NO-TRADE workflows, risk management, portfolio/P&L, trade history, notifications and Admin Panel APIs. I can also build clean APIs for Flutter integration and design the system modularly for future brokers, strategies and AI models. I focus on secure, scalable and maintainable implementation with proper validation, logging, risk controls and error handling. Regards, Nishant Kumar