AI-Driven Investment Advisor App -- 2

@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

@mykhaylob4

✋ Hi, there. I can build your AI-powered investment intelligence platform for Indian markets using Python, FastAPI, PostgreSQL, Streamlit, and broker API integrations. ✔️ I have strong experience building financial dashboards, AI research tools, FastAPI backends, PostgreSQL schemas, OpenAI API workflows, Telegram bots, TradingView webhooks, and market data pipelines. I recently built a similar research platform with technical indicators, portfolio review, risk scoring, alerts, watchlists, recommendation history, and daily AI-generated reports. ✔️ I will design the backend with clean APIs, database models, logging, error handling, Docker setup, and API documentation. I will connect Angel One SmartAPI, news/data sources, TradingView alerts, Telegram notifications, and OpenAI-based analysis for recommendations, rankings, sector rotation, IPO review, commodities, SIPs, and risk reports. ✔️ The Streamlit dashboard will include market overview, recommendation modules, portfolio insights, AI discovery watchlist, accuracy tracking, news summary, and morning executive reports. Please click the Chat button so we can discuss data access, API keys, and delivery timeline. Looking forward to working with you! Best regards, Mykhaylo

@ssquare489

I'm Joshi, an experienced Python developer who specializes in AI Development, API Integration, Data Analysis, FastAPI, Machine Learning (ML), PostgreSQL and Software Development. With my expertise and strategies honed by my stints at Google and Apple, I have consistently ushered clients through successful project completions while minimizing risks and accelerating time-to-market. Rest assured that I'll tackle the challenge of building your AI-Powered Investment Intelligence Platform for the Indian markets with the dedicated determination and technical know-how it deserves. Drawing from my extensive experience with FastAPI and PostgreSQL which aligns with your technical stack requirements, I understand that developing this platform entails much more than just coding. It requires a deep understanding of the financial domain, data sourcing, processing and analysis, market indicators, risk management as well as seamless API integration. Having built multiple projects from scratch and integrated broker APIs previously, I'm confident in my ability to provide all the modules your project requires from Long-Term investing to AI discovery watchlist engine to telegram alert systems.

@mrresearcher99

Hello, I have 10+ years of experience in Python development, FastAPI, PostgreSQL, AI-powered applications, financial analytics platforms, and third-party API integrations. I have built data-intensive systems involving recommendation engines, analytics dashboards, automated reporting, notification systems, and cloud-native deployments. Your Investment Intelligence Platform is a strong match for my expertise. I can develop a production-ready solution using FastAPI, PostgreSQL, Streamlit, OpenAI API, Docker, and broker integrations, with a modular architecture that supports investment analysis, portfolio insights, risk management, recommendation tracking, AI-powered watchlists, sector rotation analysis, market regime detection, and automated Telegram reporting. Estimated timeline for a complete production-ready version is 8-12 weeks depending on final scope and data source accessibility. Best regards

@dushyant317

I can develop a production-ready AI Investment Intelligence Platform using FastAPI, PostgreSQL, Streamlit, OpenAI, Angel One SmartAPI, and Telegram integrations, delivering advanced recommendation engines, portfolio analytics, risk assessment, market intelligence, automated reporting, and scalable Docker-based deployment with full source code ownership.

@milanrathod945

An investment platform with 15 AI engines works only when each module feeds structured signals into a shared decision layer, not isolated outputs. That's the architecture I shipped in a production 12-agent stock analysis pipeline producing BUY/SELL/HOLD decisions with entry, target, and stop-loss levels. Each engine here is a typed agent with PostgreSQL-backed state: Angel One SmartAPI drives ingestion, RSI/MACD/ATR/DMA compute at ingest time, and the OpenAI API synthesizes recommendations at the portfolio and risk layers. Streamlit renders pre-computed views for a fast dashboard. Telegram alerts and the morning report are event-driven outputs, same orchestration as the 12-agent system. All 15 modules ship: the six trading engines, portfolio and risk layers, AI discovery watchlist, sector rotation, market regime, recommendation history, accuracy dashboard, alerts, and morning report, with Docker, PostgreSQL schema, full documentation, and GitHub access. Delivery is milestone-driven: core trading engines and portfolio layer first within 2-3 weeks, remaining modules phased behind. Happy to start with a small paid milestone so you can verify the approach. Can you confirm whether the Angel One sandbox is provisioned, or should the first milestone use mock data?

@manoval09

Dear Client, Thank you for posting this project. I have extensive experience in AI, Python. I'm confident I can deliver high-quality results: - Technical expertise: Proven track record with similar automation projects - Timeline: Efficient delivery with minimal delays - Support: Full testing and debugging included I'm ready to start immediately and am flexible with communication. I would appreciate the opportunity to discuss your specific requirements in detail. Best regards, Petrovich

@Mayanks010

Hi there, You’re absolutely in the RIGHT PLACE. I’ve delivered SIMILAR PROJECTS multiple times and know EXACTLY how to execute this efficiently and correctly from day one. To lock down the SCOPE, TIMELINE, AND PRICING, I’ll need to ask you a few key questions. Unfortunately, Freelancer’s 1500 CHARACTER LIMIT doesn’t allow me to break everything down properly here. Let’s jump on CHAT so I can show you my PROVEN PAST WORK, walk you through the REAL RESULTS I’ve delivered, and outline a CLEAR ACTION PLAN for your project. You’ll immediately see why my approach is DIFFERENT and EFFECTIVE. If you’re serious about getting this done RIGHT, I’m ready to move forward. Looking forward to CONNECTING and WINNING TOGETHER. Cheers, Mayank Sahu

@NEHABHAT92

As an experienced Python developer with a specialization in AI development and software, I believe I'm the perfect fit for your AI-Driven Investment Advisor App project. Over the past 9+ years, my team and I have created several high-quality web and mobile applications using our proficiency in technologies similar to your project stack. Moreover, my familiarity with FastAPI, PostgreSQL, OpenAI API and smartAPI, opens doors to forging robust integrations and APIs essential for your application's seamless functionality with data sources like Angel One Smart API and various news platforms to meet real-time market insights requirements. My gitHub projects reflect my commitment to leaving clients highly satisfied. For instance, my previous work with ROS Analytics delved into leveraging machine learning models like RSI, MACD together with market sentiments to offer intelligent trade recommendations. This project demonstrates not only my proficiency but also how I prioritize accuracy and feature-richness to deliver value. Handling big datasets, designing DB schemas are strengths garnered from my domain knowledge which perfectly align URI:s#JHIBA reported with the scale of your project. I assure clean code ownership and on-time delivery. Let's turn your dream of an intelligent advisor application into reality!

@mengw3

Hi, I build exactly this: a Python + ML investment-research assistant (not auto-trading). For your Indian-markets platform: - Data pipeline: ingest market/fundamental data for Indian equities, clean and store in PostgreSQL, scheduled refresh. - Research engine: rankings and recommendations from a weighted scoring model over fundamentals, momentum and risk; portfolio insights and risk assessment (volatility, drawdown, concentration). - Alerts: rule-based + ML signals pushed daily (price moves, rebalancing nudges, risk flags). - Optional LLM layer: plain-language explanations of why a stock ranks where it does, and Q&A grounded in your data - not generic advice. - Clean API + dashboard, with documentation. I'm a full-stack Python dev with ML and financial-data experience. Two questions: (1) Which data source for Indian market data (NSE/BSE, a vendor API)? (2) MVP equities only, or also mutual funds/ETFs? Profile: https://www.freelancer.com/u/mengw3. I can start this week.

@Apponn

Hey There, I went through your project and understand that you need an AI-driven investment advisor application with a user-friendly interface, reliable analytics, and secure performance. I have good experience in Python, AI/ML, financial applications, data analysis, APIs, and full-stack development. I can build a scalable solution that delivers accurate insights, smooth user experience, and clean, maintainable code. I will provide the best solution according to your budget and ensure high-quality work, clear communication, and timely delivery. Thanks, Rohit

@radheys40

Hi, For the AI‑driven advisor, should the recommendation engines pull real‑time quotes from Angel One only, or also from the other market data feeds you listed (Reuters, Moneycontrol, etc.)? My plan would be to build the core services as FastAPI micro‑services in Python, each handling one engine (Long‑Term, SIP, Swing, Intraday, etc.). They’ll consume data via the Angel One SmartAPI, TradingView webhooks, and the news sources you mentioned, store normalized results in PostgreSQL, and expose endpoints for the Streamlit dashboard and Telegram bot. The dashboard will be modular—using Streamlit’s layout components—to display market overview, engine‑specific recommendations, risk metrics, and the AI accuracy panel. Docker will bundle each service, the DB and the dashboard, with proper logging, error handling and OpenAPI docs generated by FastAPI. We'll set up CI/CD pipelines for automated builds and daily health checks. Our team at D&D Technology has 15+ years of experience delivering full‑stack AI and fintech solutions, and we’ve recently shipped a risk‑analysis platform for a brokerage that used FastAPI, PostgreSQL and OpenAI in a similar architecture, finishing the MVP within 48 hours of clear scope. Could you share any preferred data refresh intervals for the engines, and whether you need the Telegram alerts to be triggered on specific signal thresholds? Looking forward to discussing the timeline and milestones. Best regards, Dinesh Kumar Design & Development Tech

@Geetam00

As a top-rated freelancer, I firmly believe that my extensive experience in full-stack development not only aligns perfectly with your project's requirements but also helps me to quickly understand and implement complex solutions. My specialty in Python, coupled with my proficiency in FastAPI and PostgreSQL, will empower me to build the AI-driven Investment Intelligence Platform you envision for the Indian markets. Having prior exposure to OpenAI API and smartifying webhooks like those from Angel One, I grasp the significance of these integrations and will accomplish them both efficiently and effectively. What truly sets me apart from the competition is my unwavering emphasis on end-to-end delivery and client satisfaction. With over 5 years of hands-on experience across various industries, I possess an exceptional skill set that encompasses not just software development but also AI, data analysis, and data visualization. I'm proud to have served clients across 42+ countries, lending me distinct insights into diverse market trends and designs that work. Understanding that your project requires a production-ready architecture with impeccable error handling and logging provisions,I will ensure all this is delivered on time while maintaining a complete sense of ownership for the entire source code.

@udaantechy

As an experienced Python developer, proficient in the exact Tech Stack and Modules you outlined, I am confident in delivering impeccable results for your AI-driven Investment Intelligence Platform project. True to my claim of being a trusted partner, I can guarantee production-ready, PostgreSQL-integrated, error-free, and dockerized architecture with meticulous logging. My portfolio showcases numerous successful projects incorporating FastAPI to deliver high-performing applications. My expertise with OpenAI API would be particularly valuable in implementing the AI Discovery Watchlist Engine and ensuring data from Angel One SmartAPI is efficiently used in your TradingView Webhooks-powered system. You'd also benefit from my experience managing large-scale data sources like Reuters Markets or Chittorgarh IPO with 100% data integrity. Regarding timeframe, considering the scale and complexity of the project at hand, I estimate the full development to take around 4 months accompanied by regular updates to ensure transparency and align expectations. With me, you won't need to trade-off quality for speed. Let's join hands to create an investment assistant par excellence which is reliable and profitable for its Indian users!

@letswork92

I understand that you’re seeking a robust AI-driven Investment Intelligence Platform tailored for the Indian market. Your goal to create a professional research assistant, rather than an auto-trading platform, is crucial to delivering insightful investment recommendations. With over 12 years of experience in full-stack development and expertise in Python, I have successfully built similar platforms using FastAPI and PostgreSQL, ensuring high performance and scalability. My experience with OpenAI API and broker integrations like Angel One SmartAPI will enable the implementation of advanced features such as risk assessments and portfolio insights. I can also leverage Docker for seamless deployment, ensuring that your architecture is production-ready with proper logging and error handling in place. Could you share more about your preferred data update frequency for the market insights? This information will help me align my approach to meet your needs effectively.

@valentinp10

Hello! I have already reviewed your description fully. You’re building an AI-powered investment research platform for Indian markets that generates insights, rankings, alerts, and reports (not auto-trading). ⚡The key challenge is integrating multiple financial data sources (Angel One, news APIs, indicators) into a consistent and reliable recommendation system without noisy or conflicting signals. ✅To solve this, I will build a modular FastAPI backend with PostgreSQL and Docker, structured into separate engines for SIP, long-term, swing, intraday, IPO, and portfolio analysis. Market data and news will be processed using technical indicators (RSI, MACD, DMA, volume ratios), then unified into a scoring layer. OpenAI will generate explanations and summaries, while Streamlit will power the dashboard (recommendations, risk view, portfolio insights, and history). Telegram integration will handle alerts and daily reports. The architecture will be fully production-ready with logging, API docs, and scalable services. A key insight is that splitting signal calculation from AI interpretation keeps results more accurate and easier to audit. Q1: Do you want the system to start with rule-based scoring before adding AI weighting? Q2: How frequently should data refresh (real-time, hourly, or daily)? Q3: Should the dashboard focus more on traders or long-term investors first? Looking forward to discussing more in detail on chat!

@sahil6207

Hello, Your project stands out because it is not a trading bot but a complete AI-powered Investment Intelligence Platform. My expertise in Python, FastAPI, PostgreSQL, AI integrations, dashboard development, Telegram bots, and Docker makes me a strong fit for building such a system. Key capabilities: • AI-powered recommendations with explainable insights • Technical analysis using RSI, MACD, ATR, DMA, Relative Strength, and Volume metrics • Portfolio health and risk assessment • Recommendation tracking and AI Accuracy Dashboard • Sector Rotation and Market Regime analysis • Telegram alerts and Morning Executive Reports • News aggregation with AI-generated summaries • Production-ready FastAPI backend, PostgreSQL database, Docker deployment, logging, and documentation Technology Stack: Python, FastAPI, PostgreSQL, Streamlit, OpenAI API, Angel One SmartAPI, TradingView Webhooks, Telegram Bot, Docker. Deliverables include complete source code, database schema, dashboard, API documentation, deployment setup, README, and full ownership of the project. Estimated timeline: 6–8 weeks depending on integration complexity and final scope. I would be happy to discuss the architecture, scoring methodology, and AI evaluation framework in detail. Best Regards, Sahil

@ryantaylor016

WE'VE JUST COMPLETED A SIMILAR PROJECT!! After reading your project, it sounds like you're looking for more than just someone who can complete a task. You need a solution that is reliable, professional, and actually helps move your business forward. We've recently completed a very similar project in the same space and helped the client turn their idea into a polished product that was easier for customers to use and easier for the business to manage. What caught my attention was your focus on quality and user experience. That's exactly where we spend most of our time, making sure everything feels clean, intuitive, fast, and built for long term growth. We handle the entire process from planning and design through development, automation, integrations, testing, and ongoing support. A quick question. If we spoke now and this project was considered a complete success, what would need to happen for you to feel it was one of the best investments you've made? I'd love to chat about your project! The worst that can happen is you walk away with a free consultation! Regards, Ryan.

@nabeeli18

I feel that our team would be the right fit for your project since we have plenty of experience in delivering complex web and mobile apps. We specialize in building AI-driven platforms like the Investment Intelligence App you require, equipped with sophisticated features for professional investment research and analysis. I understand the importance of a clean user-friendly UI for high-end customers and am confident in our ability to meet your expectations. I'd love to chat about your project and ensure you walk away with a free consultation. Regards, Nabeel Ismail