Financial Data API and Apps

$250-750 USD

In Progress

Posted about 2 months ago

$250-750 USD

Paid on delivery

I need a robust Python backend that exposes live financial data using stock exchange API and feeds three client surfaces: a lightweight HTML web portal, a native iOS app, and a native Android app. The app has to be fast and secure, supporting user authentication out of the box and streaming real-time market prices as JSON. AI APIs will also plug-in and analyze the data giving feedback based on scans. Beyond simply broadcasting numbers, I want to capture usage metrics and run concise data analytics on the traffic and behaviour we see. When any pre-set threshold is crossed, the system must trigger automated alerts—email for the web portal, push notifications for the mobile apps. Mobile users expect immediacy, so both the iOS and Android builds must show: • Real-time data updates pulled directly from the API (WebSockets or Server-Sent Events welcome). • Interactive charts that visualise price movement clearly on small screens. • Push notifications tied into the alert engine described above. Please make the stack explicit in your proposal: the Python framework you prefer (FastAPI, Django Rest Framework, or similar), the charting library you have in mind for the apps, and how you would deploy the solution end-to-end so it scales cleanly under load. I am open to AWS, GCP, or another cloud as long as the path to production is realistic and well documented. Acceptance will hinge on: 1. A Git repo with backend code, Dockerfile, and instructions. 2. A working HTML front end served by the backend. 3. Approved TestFlight build for iOS and an APK (or Play Console track) for Android, both hitting the same staging API. 4. Demonstration of an alert being fired when a price rule is violated. If you have released finance-related apps before, or have benchmarks to show throughput on a live data feed, that will carry extra weight.

Mobile App Development

JavaScript

Project ID: 40194396

About the project

104 proposals

Remote project

Active 2 mos ago

Looking to make some money?

Email address

Benefits of bidding on Freelancer

Set your budget and timeframe

Get paid for your work

Outline your proposal

It's free to sign up and bid on jobs

Awarded to:

@jovani81

Hello, I’m a Machine Learning Engineer with 8+ years building real-time data and analytics systems. For a trading analytics platform, I handled high-frequency feeds and latency issues; I solved it using FastAPI, WebSockets, optimized pipelines, and alert models that triggered instant notifications. Delivered scalable backend, mobile-ready APIs, and usage analytics. I focus on performance, security, and production reliability.

$500 USD in 7 days

4.9

(4 reviews)

5.3

104 freelancers are bidding on average $503 USD for this job

@ZohaibRoy

⭐⭐⭐⭐⭐ Build a Robust Python Backend for Live Financial Data ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for a Python backend to handle live financial data. You don't need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for financial applications. I will create a fast and secure backend that streams real-time market prices and includes user authentication. ➡️ Why Me? I can easily build your robust Python backend as I have 5 years of experience in Python development, API integration, and data analytics. My skills include real-time data handling, user authentication, and responsive design. Additionally, I have a strong grip on cloud deployment, ensuring your application scales effectively under load. ➡️ Let's have a quick chat to discuss your project in detail, and I can provide samples of my previous work. I'm excited to explore how I can help you achieve your goals! ➡️ Skills & Experience: ✅ Python Development ✅ API Integration ✅ Data Analytics ✅ User Authentication ✅ WebSockets ✅ Docker ✅ FastAPI or Django ✅ Charting Libraries ✅ Mobile App Development ✅ Cloud Deployment (AWS/GCP) ✅ Real-Time Data Streaming ✅ Alert Systems Waiting for your response! Best Regards, Zohaib

$350 USD in 2 days

4.9

(147 reviews)

7.9

@LiveExperts

Hello, As a team at Live Experts, we possess an expansive range of expertise that is directly applicable to your Financial Data API and Apps project. With comprehensive knowledge in Python, Android, iOS development, JavaScript, and Data Analytics, we can craft a robust backend for you that not only supplies real-time financial data but also performs concise data analytics on the traffic.  Our proficiency in Python presents multiple options for your backend framework like FastAPI or Django Rest Framework. Moreover, we are well-versed with technology stacks like AWS and GCP. Thus, ensuring a well-documented,<html><head></head><body><p></p></body></html> resilient end-to-end solution. In addition to these, our concise understanding of machine learning gives us the unique ability to seamlessly integrate AI APIs into the system Thanks!

$750 USD in 2 days

4.9

(39 reviews)

7.4

@Rekhathakur

Hello I have thoroughly reviewed your project description and am confident in my ability to assist you in completing it successfully. I believe it would be highly beneficial to delve deeper into the specifics of the job to determine the most effective way forward. I am open to scheduling an interview at your convenience, and I genuinely appreciate the chance to collaborate with you on this project. Your response is eagerly anticipated, and I'm excited about the prospect of working together. Thank you for considering my proposal. Looking forward to your prompt reply! Best regards Rekha!!!

$750 USD in 7 days

5.0

(51 reviews)

7.0

@mariakhan73700

With your comprehensive project description, I can already envision a powerful, efficient and secured financial data app that I can build for you. As an experienced mobile and web application developer, I have an extensive skill set that aligns perfectly with your project requirements. From Android and IOS app development to Python programming using Django framework and much more, I tick all the right boxes for this project. In terms of historical relevance, I've had the opportunity to work on finance-related applications in the past. This includes building APIs that extract real-time financial data from the stock exchange to present them to users through fast, secure and intuitive interfaces. Furthermore, you'll be happy to know that my performances have been highly regarded because of my ability to scale clean code solutions under diverse loads - something which perfectly resonates with your cloud flexibility (AWS or GCP) requirement. Ultimately, if you choose me for this job, not only will you get a qualified developer who can leverage the power of market-leading technologies like WebSockets and AI APIs but also a complete package - including approved TestFlight build for iOS and APK

$500 USD in 3 days

4.9

(159 reviews)

7.0

@Herculesz

Hi I can build a fast, secure Python backend that streams live market prices as JSON to your web portal, iOS, and Android apps from a single API surface. I’d use FastAPI for high-performance async endpoints plus WebSockets (or SSE where appropriate) to keep mobile updates truly real-time. The biggest risk in setups like this is bursty market data overwhelming clients (or causing stale updates), so I’d add a buffering/throttling layer with a pub/sub stream (e.g., Redis) to guarantee smooth delivery under load. For auth, I’ll implement JWT/OAuth2 with refresh tokens, and lock down streams per user/session while keeping latency low. For analytics and usage metrics, I’ll instrument requests + stream events (OpenTelemetry-style) and store them for concise behaviour reporting and threshold monitoring. Alerts will run through a rules engine that can trigger email (web) and push notifications (mobile) reliably from the same event pipeline. For charts, I’d use Swift Charts on iOS and MPAndroidChart on Android for crisp interactive visuals on small screens, and deploy on AWS using Docker (ECS/Fargate + ALB) so scaling and staging/production parity are straightforward. Thanks, Hercules

$750 USD in 7 days

5.0

(10 reviews)

7.0

@Feriver

Hi, I will deliver a secure, low-latency Python backend streaming live market data to web, iOS, and Android clients. Using FastAPI with WebSockets, JWT auth, and Dockerized deployment, I’ll expose real-time JSON feeds, analytics, and alerting. The build includes an HTML portal, native mobile apps with interactive charts, push notifications, and AI-driven scans, all versioned in a clean Git repo and ready to scale in cloud production. Regards, Soas

$750 USD in 10 days

4.9

(64 reviews)

6.4

@rbtech1984

Hello There!!! ⚜⭐⭐⭐⭐⚜(( Build a scalable Python backend powering real-time financial data across web, iOS, and Android ))⚜⭐⭐⭐⭐⚜ Your project requires a robust system streaming live stock data, supporting authentication, alerts, analytics, and AI-driven insights, with real-time updates on web and mobile clients. I have experience building FastAPI backends, integrating WebSockets for live updates, and creating native apps with interactive charts. I focus on performance, security, and scalable deployment. Three key features: 1. Real-time data streaming via WebSockets 2. Interactive mobile and web charts for price movement 3. Automated alerts tied to thresholds across platforms I can design the end-to-end architecture and ensure smooth production deployment. Let’s discuss the stack and timeline. Warm Regards, Farhin B.

$256 USD in 10 days

4.7

(43 reviews)

6.5

@Sohail748

Hi there, I’m offering a 25% discount for this project. With expertise in fintech and data infrastructure, I will develop a secure Financial Data API and companion applications to aggregate, process, and deliver financial information (market data, fundamentals, news). I specialize in building scalable backend systems with Python or Node.js, creating well-documented RESTful/GraphQL APIs, and developing intuitive web or mobile front-ends for data visualization and analysis. The process includes designing the database schema for financial time-series data, developing the API layer with authentication and rate limiting, integrating with data providers (like IEX Cloud, Alpha Vantage, or custom sources), and building responsive client applications for end-users. I will focus on accuracy, low latency, and robust security. You’ll receive a fully functional financial data ecosystem: a production-ready API and deployable client applications, complete with source code and documentation. My goal is to deliver a powerful, reliable platform that turns raw financial data into actionable insights for your business or customers. Best regards, Sohail

$250 USD in 1 day

4.6

(105 reviews)

6.6

@shanec35

Hello, I have carefully analyzed your requirements and recently delivered a real-time market data backend using FastAPI and WebSockets, feeding a web dashboard and two mobile apps, with authenticated users, streaming JSON prices, alert rules, and push/email notifications in production. Your project requires a fast Python API, secure authentication, real-time streaming, mobile-friendly charting, analytics, and scalable deployment, and I will address this by using FastAPI with JWT auth, WebSockets/SSE for live feeds, PostgreSQL + Redis for persistence and caching, SwiftUI and Kotlin with a lightweight charting library (Charts / MPAndroidChart), and Dockerized deployment on AWS with load-balanced services and CI/CD. My realistic rate is $20/hour, with an estimated 5–7 weeks for a full working MVP meeting your acceptance criteria. I am available to begin work immediately and am committed to delivering the highest quality system within the shortest possible timeframe. Best regards, Elenilson

$500 USD in 7 days

5.0

(9 reviews)

5.8

@kareemmaize

Hi – I can build this as a single, production-ready system where the Python backend is the source of truth and all three clients consume the same real-time API. I d use FastAPI for the core service, with authenticated REST for baseline data and WebSockets for live price streams. Ingestion would pull from your market data provider, normalize ticks, and fan them out efficiently so mobile users see updates immediately without hammering the upstream API. Alerts would sit alongside the stream: price rules evaluated server-side, triggering email for web users and push notifications for iOS/Android. Usage metrics and behaviour analytics would be captured at the API layer so insights are consistent across platforms. AI analysis hooks would consume the same normalized data, keeping scans decoupled from delivery. For clients, I d serve a lightweight HTML portal directly from the backend, and build native iOS/Android apps that render interactive charts optimized for small screens and subscribe to the live stream securely. Deployment would be Dockerized with a clear path to AWS (API + workers, managed DB, push services), fully documented so you can operate it confidently. If this direction aligns, we can discuss in detail in chat.

$500 USD in 7 days

5.0

(5 reviews)

5.9

@codefusion53

Hi I can deliver a production ready financial data platform with a Python backend streaming live quotes to a web portal plus iOS and Android apps, with authentication, analytics, and an alert engine that triggers email and push notifications. I have experience building real time APIs with WebSockets and designing systems that stay fast under load. I recommend FastAPI for the backend with WebSockets for live ticks, Postgres for core data, Redis for caching and pub sub, and Celery or RQ for background alerts and AI scan jobs. The web portal can be served by the same backend with a lightweight UI and secure auth. For mobile I can build a single codebase in React Native and use a proven chart library to render responsive price charts and indicators on small screens. Deployment would be Dockerized with a simple CI pipeline and a scalable setup on AWS or GCP using a managed database, autoscaled app services, and monitoring with structured logs and metrics. You will get a Git repo with Dockerfile, clear run instructions, working TestFlight build, Android build, and a demo showing an alert firing on a price rule breach. Best, Justin

$500 USD in 7 days

4.9

(3 reviews)

6.0

@amir672

As a Full-Stack Developer, my repertoire matches your project's scope remarkably well. Combining my expertise in Cross-Platform Mobile Development (especially in Flutter) and Web & Backend Development, I guarantee a streamlined, effective solution that matches your expectations to the letter. My command over Python, with frameworks like Django Rest Framework or FastAPI, ensures your backend will be secure, robust and capable of utilizing the financial data API to its fullest. To enhance user experience, I'll employ powerful frontend technologies like HTML5, CSS3 and charting libraries that best visualize price movement on smaller screens. Implementing real-time data updates from WebSockets or Server-Sent Events is a niche skill that I've honed considerably over the years. To ensure the project scales seamlessly under load, I propose deploying the solution on AWS or GCP, leveraging their robustness and scalability. In regards to notifications, I have an innate understanding of users' demands for immediacy- I will seamlessly integrate push notifications powered by the alert engine and ensure an email system for web portal alerts. Finally, my dedication to code quality and long-term maintenance means you can rely on an end-to-end solution marked by stability, security and optimal performance. As you'd expect, all required code for backend with a Dockerfile will be managed via a documented Git repo; a working HTML front end will be served by it;

$500 USD in 15 days

5.0

(15 reviews)

5.2

@kishanbwts

Hello, For your financial data platform, I recommend using FastAPI for the Python backend due to its speed and straightforward async support for real-time WebSocket streams. This will power your lightweight HTML portal and native apps efficiently. In a recent project for a healthcare client needing real-time patient data, I implemented FastAPI with async WebSockets and integrated secure user authentication frameworks, achieving sub-second data updates. For your mobile apps, I suggest using React Native with Victory or lightweight native chart libraries like MPAndroidChart and Charts for iOS to render interactive price charts clearly on smaller screens. For deployment, I’ve successfully used AWS Elastic Container Service with Docker for scalable backend hosting, plus AWS Lambda for alert processing and Amazon SNS for push notifications and email alerts tied into your threshold triggers. Could you clarify if the AI APIs will be custom models or third-party services? That will help design the integration smoothly. I’ll provide a complete Git repo with Dockerfile and deployment docs, working frontend, and test builds on TestFlight and Play Console, demonstrating alert triggers as required. Ready to start building your robust, real-time financial data platform immediately. Let’s get it done. Thank you!

$750 USD in 7 days

5.0

(23 reviews)

5.2

@ssquare489

I am Sumit Joshi from Sacesta Technologies. I can build a fast Python backend that streams live market data as JSON and powers your HTML portal plus native iOS and Android apps, with alerts, analytics, and AI scan hooks. • Backend stack and realtime • FastAPI with WebSockets (primary) and SSE fallback • PostgreSQL for users, rules, alerts, and audit logs, plus Redis for caching and rate-limit protection • Background workers for rule evaluation, AI scan jobs, and notification fanout • Auth: JWT with refresh tokens, device tokens, and scoped access per app • Client surfaces • HTML portal served by the backend with login, watchlists, live feed, and alert testing • iOS native (Swift) with charts via Swift Charts or DGCharts • Android native (Kotlin) with charts via MPAndroidChart • Both apps consume the same staging API and receive push alerts via APNs and FCM • Analytics and alerting • Capture usage events and API metrics, then roll up daily, weekly, monthly views • Alert engine triggers email for web users and push for mobile users when thresholds breach Relevant work • Built real-time market dashboards using WebSockets with indicator computation, scoring logic, and production monitoring patterns. Regards, Sumit Joshi

$500 USD in 7 days

4.7

(25 reviews)

5.7

@justinw45

Hello, I noticed the need for a Python backend to provide live financial data through stock exchange APIs to a web portal and native mobile apps. To achieve this, I would use FastAPI for the backend, integrate WebSockets for real-time data updates, and implement interactive charting libraries for clear price visualization on iOS and Android. I have successfully developed similar projects involving real-time data analytics and AI integrations, ensuring fast and secure data delivery. Best regards, Justin

$500 USD in 7 days

5.0

(5 reviews)

5.0

@mobiwebsolutions

Hi There!!! The Goal of the project:- DEVELOP A ROBUST PYTHON BACKEND TO STREAM LIVE FINANCIAL DATA TO WEB AND MOBILE APPS WITH REAL-TIME ALERTS, ANALYTICS, AND AI-DRIVEN INSIGHTS. I have carefully read your project description and understand the need for fast, secure real-time data delivery, multi-platform support, and automated alerts for threshold breaches. I am the best fit because I have extensive experience building finance-related APIs and mobile apps with real-time streaming and analytics. 1. Build a Python backend (FastAPI/Django) with WebSocket support for live updates. 2. Deliver interactive HTML frontend and native iOS and Android apps with push notifications. 3. Implement usage analytics and automated alert system for user-defined thresholds. I offer UI design, database management, testing, and full source code delivery at project completion. I have 9+ years experience as a full stack developer and have completed similar projects with live market data feeds and multi-platform delivery. Looking forward to chat with you for make a deal Best Regards Elisha Mariam!

$251 USD in 16 days

5.0

(5 reviews)

5.1

@Ussama91

I propose building a robust Python backend using FastAPI, exposing live financial data from stock exchange API, and feeding it to a lightweight HTML web portal, native iOS app, and native Android app. I'll use WebSocket for real-time data updates, and a charting library like Matplotlib or Plotly for interactive charts. I'll deploy on AWS or GCP, with a Git repo, Dockerfile, and instructions for acceptance. I'll also provide working front ends, TestFlight build for iOS, and APK for Android, demonstrating alerts and real-time market prices as JSON. Waiting for your response in chat! Best Regards.

$500 USD in 3 days

4.8

(13 reviews)

4.9

@AlexDeveloper911

Hi, We went through your project description and it seems like our team is a great fit for this job. We are an expert team which have many years of experience on JavaScript, Python, Mobile App Development, Android, Data Analytics, iOS Development, API Development, FastAPI Lets connect in chat so that We discuss further. Thank You

$500 USD in 7 days

5.0

(4 reviews)

4.7

@maxscender

I can help you. I will build the backend using FastAPI and an asynchronous Redis pub/sub architecture to ensure real-time WebSockets remain stable and responsive under high-concurrency price updates. A hidden challenge in multi-platform financial apps is "Data Drift," where the web and mobile apps display slightly different prices due to independent socket latencies. I will centralize the price-normalization on the server so all clients receive a synchronized, identical data stream. To prevent AI processing from becoming a cost and latency bottleneck, I will implement a "delta-filter" so the AI only scans data when specific volatility thresholds are crossed, rather than on every tick. For mobile performance, I will use GPU-accelerated charting libraries to ensure the UI remains fluid during high-frequency market bursts.

$500 USD in 7 days

5.0

(9 reviews)

4.7

@dorians2

Hi there, I have 7+ years of experience in Python, FastAPI, iOS Development and can deliver a clean, reliable solution for your project. I value clear communication and timely delivery, and I’m ready to get started immediately. Let’s connect and discuss your goals. Best regards, Dorian

$500 USD in 1 day