Full-Stack Developer — Stock Analysis & Scoring Application

@augurstech

A Warm Hello! We are readily available to start working on this project! We are confident to provide you robust, data-driven stock analysis platform that combines disciplined investment frameworks with AI-powered insights. This is exactly the kind of complex, high-impact product our agency specializes in—where financial logic, scalable architecture, and clean user experience must come together seamlessly. We will provide you sophisticated application that: - Automates a 12-point investment scoring framework across US and ASX equities - Provides actionable tools like a stock screener, portfolio tracker, and watchlist with alerts - Leverages AI (Anthropic Claude API) to generate deeper analysis from financial data and IR sources - Delivers a cross-platform experience via web and mobile apps We would be excited to help you bring it to market with speed and precision. Best regards, Ana

@irsolutions

With over a decade of experience in full-stack architecture and high-scale systems, I understand your goal of building a stock analysis application that automates a rigorous 12-point investment scoring framework across ASX and US equities. My background in developing high-complexity systems, such as serving over 1 million users and working on FinTech projects, directly applies to the challenges of this project. One strategic insight I can offer is to prioritize data security and scalability from the outset to ensure seamless performance and user satisfaction. In a past project, I successfully built and scaled a Telegram Mini App serving over 1 million users, showcasing my ability to handle complex systems with efficiency. I invite you to reach out to discuss how we can collaborate on bringing your vision to life. Let's connect to explore the roadmap for your stock analysis and scoring application, ensuring it meets your expectations and exceeds industry standards.

@diektech

Hi, This is Elias from Miami. I checked your project description and understand you’re building a stock analysis platform that combines a structured 12-point scoring system, screener, portfolio tracking, alerts, and an AI analysis layer using Claude, across web and mobile. I would approach this by structuring a clean FastAPI backend with a reliable data ingestion + calculation engine, then layering the scoring logic, alerts, and AI module on top, while keeping the React/Expo apps tightly aligned with the same API for consistency and speed. I’ve worked on data-heavy platforms involving APIs, analytics pipelines, and AI integrations where accuracy, performance, and clean architecture were critical. I’d be happy to go through the details and suggest the best technical approach. I have a few questions to get a better understanding: Q1 – Are the 12 scoring rules already fully defined with exact formulas and thresholds, or will part of the build involve refining and standardizing them across data sources? Q2 – Which data provider are you leaning toward initially (Refinitiv vs Morningstar), and do you already have API access ready? Q3 – For the AI analysis layer, do you want deterministic outputs (structured scoring + explanation), or more flexible narrative insights alongside the scoring engine? Looking forward to hearing from you.

@Herculesz

Hi I can build your stock analysis platform end-to-end using FastAPI, PostgreSQL, Redis, and a React/React Native stack, with strong focus on data integrity, performance, and scalable architecture. My experience with Python backends, financial/data-heavy systems, API integrations, React-based frontends, and LLM integrations aligns directly with your v1 scope. A key challenge in systems like this is ensuring consistent, accurate financial calculations and syncing real-time data, scoring logic, and AI outputs without creating unreliable insights. I would solve that by building a structured ingestion pipeline, a reliable ratio engine, and a clean scoring framework that feeds both the screener and AI analysis layer consistently. I’m comfortable integrating financial APIs, building portfolio tracking systems, implementing alert mechanisms with Redis, and connecting Claude API for contextual analysis. The frontend can be delivered as a responsive React app with shared logic for mobile via Expo, ensuring consistent user experience across devices. The result would be a scalable, production-ready system that supports screening, tracking, and AI-driven insights in a clean and maintainable way. Thanks, Hercules

@pinkeegupta

Hi, I have reviewed your project requirements and I’m confident I can deliver accurate, data-driven, and scalable solutions for your needs. I bring 9+ years of combined experience in Python development, Data Science, Data Analytics, and Business Intelligence, helping clients turn raw data into meaningful insights and actionable dashboards. My Core Expertise Includes: Node js , React Js, Mongo , Blockchain, crypto currency Python Development: Pandas, NumPy, Scikit-learn, FastAPI, Flask, Django Data Science & Machine Learning: Data cleaning, EDA, predictive modeling, AI/ML solutions Data Analytics: Statistical analysis, reporting, automation, data mining Power BI: Interactive dashboards, DAX, Power Query, data modeling, KPI reporting Databases & Big Data: SQL, NoSQL, SparkML AI & Frameworks: TensorFlow, PyTorch, Cursor, Calude, gemini, nano, chatgpt. I focus on clean code, clear insights, performance optimization, and business-oriented outcomes. I ensure timely delivery and transparent communication throughout the project lifecycle. Let’s connect to discuss your requirements in detail and define the best approach for your project. Looking forward to working with you. Regards, Anju

@softwarelinkerrs

With over a decade of experience in PHP and MySQL backend development, I have a strong foundation in building secure and data-driven web applications. My expertise extends to RESTful API development and seamless integration with mobile and web platforms, a skill crucial to this project's backend requirements. My client base diverse enough to know the specific needs of education, finance, logistics, and corporate sectors. Your financial inclination for this project perfectly aligns with my experience in creating data-heavy applications for insurance and finance industries. Besides having hands-on proficiency with React.js, the tech stack you desire, I'm continuously exploring new technologies like Flutter to ensure my skills are contemporary. Though I haven't worked with Refinitiv or Morningstar API specifically, I've extensively integrated third-party APIs with financial or data-heavy projects. Our history of high client retention combined with a 96% job success rate is testament to our commitment, reliable approach, on-time delivery, and clear communication. My team at SoftwareLinkers understands the importance of building reliable applications that meet business goals. To us, it’s not just about writing code but also about developing solutions that are secure, scalable, and future-ready — philosophy that perfectly compliments your long-term goals for this project

@managersingh

Hi I can build your stock analysis app end-to-end using FastAPI, PostgreSQL, and React/Expo, working within your defined architecture. I’ll implement the scoring engine, API integrations, portfolio tracking, alerts, and AI analysis layer with clean, scalable code. I’ve handled data-heavy systems and third-party APIs, ensuring reliability and performance from day one. This will give you a robust, production-ready v1 that delivers accurate insights and a smooth user experience across web and mobile. Available to start within 2 weeks and happy to share work samples and discuss details. Thanks, Singh

@Microlent

Hi, The core challenge here isn’t just building the app, it’s designing a reliable scoring engine that can consistently evaluate stocks across multiple financial parameters. I recently built a deterministic scoring engine for financial analysis that aligns closely with what you’re describing here, where multiple inputs are processed into structured scoring outputs. You can see it here: https://www.freelancer.com/portfolio-items/11337466-python-deterministic-scoring-engine On the stack side, I’m comfortable with Python (FastAPI), PostgreSQL and building structured APIs, along with React-based frontends. I’ve also worked with API integrations and data-heavy systems where accuracy and performance matter. My approach would be to first stabilise the scoring logic layer, then build the ingestion and calculation pipeline, followed by screener, portfolio and alert systems. The AI layer can then sit on top for analysis and interpretation without affecting core logic. I’m available to start within the next 1-2 weeks and can commit full-time for the duration. I can also review your 12 point framework and suggest how to structure it for consistent scoring before development begins. Would you like me to outline how I would structure the scoring engine and data flow before we proceed? Best regards, Jenifer

@MashoodurRehman1

I am a seasoned full-stack developer with over 3 years of experience in building robust applications using Python and React frameworks. My background includes integrating financial and data APIs, making me well-equipped for your Stock Analysis & Scoring Application project. My recent work on a financial analysis tool involved designing RESTful APIs and implementing real-time data processing using FastAPI and PostgreSQL. I have extensive experience with Python for backend development and leverage React and React Native for creating dynamic, responsive user interfaces on web and mobile platforms. I am familiar with Expo for app deployment, ensuring seamless code sharing across iOS and Android. My knowledge of AI-driven models and APIs like Anthropic Claude makes me confident in creating intelligent features for your application. I am available for full-time work starting within the next two weeks and would be interested in discussing your project's specifics, such as expected outcomes and budget details, to ensure a successful collaboration. Looking forward to potentially contributing to your team.

@revival786

Greetings! I looked at your stock analysis application project. You need a 12-point investment scoring framework, stock screener, portfolio tracker, watchlist with alerts, AI analysis via Claude API, REST API, React web app, and React Native mobile app (Expo). I provide full-stack and mobile development services. Tech stack: Python FastAPI, PostgreSQL, Redis, React, Expo. I will build v1 with all core features. Send me your data API credentials and scoring logic details. Thanks, Revival

@matheussilva114

Hi there, THE CHALLENGE is ensuring seamless integration of the Anthropic Claude API for AI-powered analysis while maintaining high performance and accuracy in the stock scoring framework. Coordinating the backend Python (FastAPI) with the frontend React components and third-party financial APIs requires meticulous attention to detail and robust error handling to provide users with reliable data insights. In case of any API changes or updates, I will prioritize clear communication and swift adaptation to minimize disruptions and ensure project continuity. Regards, Matheus

@jayprakashyadav

As an experienced Full Stack Developer, I am confident that I can bring significant value to your project. Having worked extensively with similar tech stacks and in-depth integration of third-party financial or data APIs, I'm well-versed with both the backend (Python, FastAPI) and frontend (React, React Native) components needed for this venture. In fact, building an AI analysis module using financial data is something I've already accomplished successfully. Furthermore, my proficiency with all relevant tools such as PostgreSQL, Redis, Refinitiv/Morningstar API, Anthropic Claude API will ensure smooth functionality and effective communication within the system. Additionally, having real-world experience with stock prices, ratios, fundamentals will enable me to comprehend and tackle nuances unique to your project. All my past work like analyzing data through APIs and automation engineering emphasizes my capacity to handle complex financial requirements with precision and efficiency. My rates are competitive and aligned with the value of expertise I bring to every project. Let's collaborate and create a stellar stock analysis application that simplifies investing decisions while maximizing returns. available full-time now, Thanks, Jay

@kamran2012

Hello, I will deliver the FastAPI backend with the 12-point scoring engine, stock screener, dual portfolio tracker, watchlist with alerts, and the Claude-powered analysis module — plus the React web app and Expo mobile app sharing a single codebase. For the scoring framework, I will structure each of the 12 criteria as an independent, configurable scoring module with weighted outputs. This makes it straightforward to adjust thresholds per market — ASX and US equities have different norm ranges for ROE, FCF yield, and valuation ratios — without rewriting logic. Redis will cache API responses from Refinitiv/Morningstar to stay within rate limits and keep screener queries fast. I am happy to share relevant financial application examples in our chat. Send me a message and we can go over the details. Best regards, Kamran

@artur1992123

Hi Pawan, The core challenge here isn't just pulling stock data, it's building a reliable scoring engine that handles 12+ financial metrics (moat quality. ROE. FCF, valuation ratios) across two markets with different data formats and availability. I've built financial dashboards and automated analysis tools before. In the last 2 years I worked on 28 React/Next. js projects and multiple API integrations including real-time data processing. I can architect this with a clean backend (Node. And js/Python for data ingestion + scoring), a React frontend for the dashboard, and proper error handling for missing/delayed data. I'm offering a competitive rate because I'm building my Freelancer profile and need quality reviews. I work fast, this type of project typically takes me days - not weeks. Let me know if you'd like to discuss the scoring logic or data sources in detail. https://www.freelancer.com/portfolio-items/11324131 https://www.freelancer.com/portfolio-items/11324094

@corpmember29

I READ YOUR REQUIREMENTS CAREFULLY AND UNDERSTOOD VERY WELL ABOUT THE PROJECT SCOPE AND START WORKING ACCORDINGLY IN STAGES. I have more than 10+ years of experience as a full-stack developer, and I have worked on data-intensive applications using Python (FastAPI), React, and mobile apps with React Native/Expo. I also have experience integrating third-party financial APIs and building analytics-driven dashboards. I will approach your project by first designing a scalable backend architecture with FastAPI, PostgreSQL, and Redis for efficient data processing and caching. The stock scoring engine (12-point framework) will be modular and configurable, ensuring easy updates to logic and ratios. On the frontend side, I will build a clean, responsive React + Expo codebase for web and mobile using shared components. The AI analysis layer will be integrated using Anthropic Claude API with structured prompts to generate reliable, explainable investment insights based on financial data and ratios. I will also ensure smooth deployment using Railway/Vercel with production-ready configuration. I WILL PROVIDE 2 YEAR FREE ONGING SUPPORT AND COMPLETE SOURC CODE, WE WILL WORK WITH AGILE METHODOLOGY AND WILL GIVE YOU ASSISTANCE FROM ZERO TO DEPLOYMENT AND APP STORE PUBLISHING. I am available to start within 2 weeks and can work full-time on this engagement. I eagerly await your positive response. Thanks.

@alizain721

You're building a production-grade stock analysis app: a FastAPI backend that ingests Refinitiv/Morningstar, computes a deterministic 12-point scoring model, exposes a screener, supports two portfolios, a watchlist+alerts pipeline, and an Anthropic Claude layer that reads IR pages and returns scored, explainable verdicts — delivered as a responsive React web app and an Expo mobile build. Primary failure modes: inconsistent fundamentals between providers, unversioned raw data causing score drift, noisy alerts, and LLM hallucinations without provenance. v1 should deliver a tested REST API, a repeatable ratio engine, screener endpoints, working mobile builds, and deployment on Railway/Vercel. Sharp insight: the hard part is data reconciliation and reproducibility — implement a versioned raw_financials store plus reconciliation rules and deterministic unit tests for every ratio so scores are auditable and repeatable when providers change. Proof: no public portfolio link available here; can provide private code samples and a 10–15 minute walkthrough (or NDA access) that show FastAPI ingestion and ratio calculation within 48 hours. Approach (high level): FastAPI + Postgres with raw_financials → processed_ratios (materialized views), background workers (Redis + RQ) for ingestion/alerts, Claude wrapper service that returns JSON verdicts with source URLs, React web + Expo for mobile, deploy on Railway/Vercel and use EAS for app builds. Answers: 1) Relevant experience: built and shipped data-heavy FastAPI + React apps (private samples available). 2) Preferred stack: Python/FastAPI, Postgres, Redis, React/Expo, Anthropic via service layer. 3) GitHub/portfolio: private — can share under NDA. 4) Availability & rate: can start within 2 weeks, near full-time for ~3 months, proposed rate 7,500 AUD/month. Which data provider will you commit to for v1 (Refinitiv or Morningstar), and do you already have the API keys/subscriptions?

@osamak74

Hi, Your project is fully achievable. I understand you are building a stock analysis platform with a 12-point investment scoring system, AI-powered insights via Anthropic Claude API, and full cross-platform support across web and mobile. I will develop a scalable full-stack system with FastAPI backend, PostgreSQL database, and a shared React / React Native (Expo) frontend architecture to ensure performance and maintainability across all platforms. I have experience building data-heavy applications with API integrations, real-time dashboards, and automation systems. The solution will include a robust scoring engine, portfolio and watchlist management, alert system, and an AI analysis layer that processes financial data and generates structured investment insights. I can begin as soon as you're ready and will ensure a clean, scalable architecture suitable for long-term expansion. Best regards, Osama

@UzeeTech

With my robust experience in full-stack development spanning over seven years, I'm confident in my ability to deliver exactly what you need for your stock analysis and scoring application. Technical expertise-wise, I align perfectly with your requirements: I'm well-versed in the entire Python (FastAPI) backend and React (web) + React Native / Expo (iOS & Android) frontend tech stack you mentioned, which is absolutely crucial for successful project delivery. In fact, I've previously built sophisticated applications that incorporate large amounts of financial data and utilize third-party APIs with extreme precision. My breadth of experience goes beyond merely creating functionalities; I actively participate in helping clients make efficient and cost-effective technical decisions - an advantage that’s often overlooked but valuable to building a scalable product. When it comes to delivery and communication, I have a reputation clients consistently appreciate. I ensure daily updates, clear timelines, and zero ghosting. Moreover, my code is clean, extensively documented, and highly testable—something that will aid future developers working on this project. Plus, nearly all of my projects have been delivered on or before the schedule - something that’ll definitely suit your strict timelines. To sum it up, my relevant skills and significant industry experience make me an ideal match for bringing your project to life seamlessly.

@silvernsaka

Hello, I am a verified senior full-stack developer and AI engineer with 10+ years of experience building data-intensive SaaS platforms. Your stock analysis and scoring application aligns closely with my background in financial systems and scalable architecture. I have strong expertise in Python (FastAPI), PostgreSQL, Redis, and React/React Native (Expo), and have integrated third-party financial/data APIs for real-time analytics and scoring engines. I can design your 12-point scoring framework, stock screener, portfolio tracker, and alert system with clean, extensible architecture. I also have experience working with LLM APIs (including Claude-style workflows) to build AI-driven analysis layers that process financial data and generate structured insights. Availability: Full-time (40 hrs/week), can start immediately. Monthly rate: $6,000 Relevant work: • Financial analytics dashboard with ratio engines & alerts • Data-heavy SaaS platform with API integrations & AI insights • Cross-platform mobile app (React Native + Expo, App Store deployment) I focus on performance, scalability, and clean code for long-term growth. I’d be glad to collaborate and bring your v1 to production. Best, Ijeoma