Android Trading Signal App + Crypto Data API Integration

@irsolutions

With over 10 years of experience in web and mobile development, specializing in blockchain and AI/ML, I understand the crucial need for a reliable, well-documented API for your Android Trading Signal App. Your project requires real-time market data from Binance, Upbit, and Bithumb, including tick-by-tick prices, historical OHLC data, and technical indicators. I have extensive experience with Python and Node.js, ensuring solid error handling and modular code for easy scalability. In the realm of blockchain development, I have successfully integrated data from various sources, ensuring seamless communication and accurate results. My track record in delivering successful projects in the FinTech and eCommerce industries showcases my ability to meet and exceed your expectations. If you're looking for a skilled developer who can provide a comprehensive solution for your project, let's connect and discuss how I can bring your vision to life. Your project's success is my priority, and I am eager to collaborate with you for long-term success. Let's create something exceptional together.

@ZohaibRoy

⭐⭐⭐⭐⭐ Create a Reliable API Layer for Market Data from Binance, Upbit, Bithumb ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for a clean API layer for market data. You don't need to look any further; Zohaib is here to help you! My team has successfully completed over 50 similar projects for API development. I will create a robust solution that aggregates real-time prices, historical data, and technical indicators efficiently. I will build the API using Python or Node.js based on your preference. ➡️ Why Me? I can easily create your API layer as I have 5 years of experience in API development, specializing in data aggregation, real-time updates, and historical data handling. My expertise includes error handling, modular coding, and working with various data sources, ensuring a comprehensive approach to your project. ➡️ Let's have a quick chat to discuss your project details. I can showcase samples of my previous work and how I can meet your needs. Looking forward to discussing this with you! ➡️ Skills & Experience: ✅ API Development ✅ Python Programming ✅ Node.js Development ✅ Data Aggregation ✅ Real-time Data Streaming ✅ Error Handling ✅ Historical Data Management ✅ Technical Indicators ✅ RESTful Services ✅ WebSocket Communication ✅ Modular Code Design ✅ Documentation Writing Waiting for your response! Best Regards, Zohaib

@softsolution2000

I have extensive experience in Python, Node.js, Git, and JSON which align perfectly with the requirements of the Android Trading Signal App + Crypto Data API Integration project. I am confident in my ability to deliver a clean and well-documented API layer that pulls market data from Binance, Upbit, and Bithumb efficiently. I am open to adjusting the budget based on the full project scope discussion, and my priority is to work within your budget and deliver high-quality results. Let's discuss the details and get started on this exciting project. Please review my 15-year-old profile to see my past work and commitment to client satisfaction. I am eager to begin working on this project and showcase my dedication. Looking forward to hearing from you.

@Herculesz

Hi A reliable market data layer like this usually breaks down at the normalization point, because Binance, Upbit, and Bithumb expose different symbol formats, candle schemas, and stream behaviors. I can build a clean Python-based API layer using FastAPI, WebSocket clients, asyncio, pandas/NumPy, and modular indicator services so the data stays consistent and easy to extend. For real-time pricing, I’d use exchange-native WebSocket feeds with reconnection logic, heartbeat checks, backoff retry, and fail-safe stream handlers to keep latency low and uptime stable. For historical OHLC, I’d create normalized endpoints for 1m, 5m, 1h, and 1d candles with strict timestamp alignment and support for at least the last 1,000 records per interval. Indicator calculation such as SMA, EMA, and RSI would run server-side through a separate computation layer so new indicators can be added without changing the API contract. I also focus heavily on error handling, rate-limit protection, logging, response validation, and well-structured JSON output so other services can consume the data safely. The final handover would include clean Git commits, MIT-style file headers, and a concise README with setup steps, sample requests, and expected responses. Thanks, Hercules

@kamran2012

Hey, I will build your unified API layer — aggregating real-time prices, historical OHLC, and technical indicators from Binance, Upbit, and Bithumb behind a single WebSocket and REST interface. One key design decision: I will normalize each exchange's WebSocket streams into a common event schema with a unified symbol format and server-side timestamp reconciliation. Bithumb and Upbit use different ticker naming conventions and push data at varying frequencies, so aligning these at the adapter level keeps your downstream consumers simple and makes adding a fourth exchange later a matter of writing one new adapter module. Questions: 1) Do you prefer Python (asyncio/FastAPI) or Node.js for this service? Send me a message and we can go over the details. Best regards, Kamran

@ykarora26

Hello there, I am excited about the opportunity to work on your project. I propose to develop a robust and well-documented API layer that pulls market data from Binance, Upbit, and Bithumb, focusing solely on data aggregation and serving functionalities. The API will provide tick-by-tick real-time prices with minimal latency, historical OHLC data at various intervals, and common technical indicators like SMA, EMA, and RSI. I will ensure solid error handling, reconnection logic, and modular code to facilitate easy extension, either in Python or Node.js. The final deliverable will include a user-friendly REST or WebSocket interface and a comprehensive README for seamless integration with other services. The acceptance criteria outlined align perfectly with my expertise, and I am confident in meeting and exceeding your expectations. Regards, Yogesh Kumar

@mubeenm5026

I'm Mubeen Khan, founder and CEO of Web Crest, equipped with a variety of skills including API Development, Data Integration, Git, Node.js, and Python. I'm truly excited about your project revolving around creating an Android Trading Signal App along with Crypto Data API Integration. With my decade-long experience, I've successfully built intelligent and scalable systems; this includes robust error handling and reconnection logic parallel to the requirement of your project. My proficiency in building clean modular codes in both Python and Node.js aligns perfectly with the task at hand. I clearly understand your need for aggregated data (real-time prices, historical OHLC data, technical indicators) without any order execution or account functions. My prior experience in normalizing and serving disparate exchange data will significantly enable me to serve you better. Moreover, I assure you clear documentation—concise README covering example calls and expected JSON responses alongside handing over source code through a private Git repository. My ultimate goal is to construct a system that not only meets your specific requirements but also grows parallel to your business- something we can continue in the long run. So if you're looking for reliability, scalability and practical innovation throughout this project,

@iosifpeterfi

I'm Iosif Peterfi, 15+ years... ich bin Senior Systems & Security Engineer in Europa/Berlin, pragmatisch, direkt und zuverlässig - bereit, Ihre API-Projekte mit Klarheit, Stabilität und messbarem Geschäftsnutzen zu gestalten. This is my speciality: Echtzeit-Datenaggregation mehrerer Börsen, konsistente Normalisierung und eine robuste, erweiterbare API-Schicht. Sie benötigen eine saubere, gut dokumentierte API, die Markt-Daten von Binance, Upbit und Bithumb sammelt, Tick-by-tick Updates mit geringer Latenz, historische OHLC-Daten (mindestens 1 m, 5 m, 1 h, 1 d) und serverseitig berechnete Indikatoren (SMA, EMA, RSI), plus Erweiterbarkeit. Mein Ansatz liefert modulare Endpunkte, robuste Fehlerbehandlung, Wiederverbindung, klare Dokumentation und Tests, damit Ihr Team einfach erweitern kann. Kurze Projekterfahrung: Für eine Finanzplattform stabilisierte ich Live-Datenströme, Verfügbarkeit lag über 99%, Latenz unter einer Sekunde; OHLC-Endpunkte lieferten konsistente 1000+ Candles, was präzise Analysen ermöglichte. Lassen Sie uns chatten - ich erkläre in einem kurzen Gespräch, wie ich die Umsetzung strukturiere und welchen Wert Sie zeitnah sehen.

@Mobilehead

Hello I once struggled to keep websocket streams from Binance and Upbit synchronized during reconnects which caused missed ticks, but I solved it with robust reconnect, replay, and de-duplication logic. I will build a modular Python or Node.js service that aggregates Binance, Upbit, and Bithumb market data with solid error handling and reconnection logic to keep live streams >99% up and deliver updates under one second. The API will expose websocket tick streams and REST endpoints for 1m, 5m, 1h, and 1d candles with at least 1,000 aligned historical candles per interval. Server-side indicator calculations (SMA, EMA, RSI) will be returned in the same response and the code will be easy to extend for more indicators. I will deliver clean, documented source in a private Git repo with setup steps, example requests and responses, and an MIT-style license header for handoff and long-term collaboration.

@DeveloperStation

Hi, We’ve built similar products that pull data from multiple exchanges and deliver it to mobile apps, so we understand the importance of reliable data. We can create a robust API that connects to Binance, Upbit, and Bithumb to provide real-time price updates, historical OHLC data, and technical indicators like SMA, EMA, and RSI. We can also add advanced features like webhooks for price alerts and a user management system to allow users to set their own alerts. We’ve developed several successful apps with similar features, including a crypto trading app that integrated with Binance and CoinMarketCap. We also have extensive experience with web and mobile development, so we can handle both backend and frontend tasks efficiently. Let’s schedule a 10-minute introductory call to discuss your project in more detail and see if I’m the right fit for your needs. I’m looking forward to hearing more about your exciting project. Best regards, Adil

@OscarMozo

Hi, I can help you with this. I am a developer with extensive experience with automations and integrations. I've helped clients with similar projects. Let me know your interest, Sincerely, Nicolas

@temoberishvili

Hello, I can build a clean, modular API in Python or Node.js that aggregates real-time and historical data from Binance, Upbit, and Bithumb. The API will provide tick-by-tick prices, OHLC candles, and server-side technical indicators like SMA, EMA, and RSI, with the ability to extend later. I’ll implement robust error handling, automatic reconnections, and low-latency streaming (<1s). A simple REST/WebSocket interface will allow easy integration, and I’ll provide a clear README with examples and an MIT-style license.

@maxscender

I can help you. The critical technical challenge is managing the aggressive rate limits and distinct timestamp formats of Upbit and Bithumb while maintaining a low-latency Binance stream in the same event loop. I will implement a multi-provider WebSocket manager with independent reconnection logic to ensure a single exchange’s downtime doesn't freeze your entire feed. To keep your Android app performant, I will normalize the disparate JSON schemas from all three exchanges into a unified internal format before they hit your API. I’ll also use an in-memory cache for the technical indicators (RSI/EMA) so that the math is only calculated once per candle interval regardless of request volume, ensuring your <1s delivery requirement even during peak market volatility.

@mahig47

Hello! As per your project post, you’re looking to build an Android trading signal app backend with a clean API layer that aggregates crypto market data from Binance, Upbit, and Bithumb with real time pricing and technical indicators. The goal is to create a reliable and modular data aggregation system that delivers low latency tick data, historical OHLC information, and technical indicators through a well documented REST or WebSocket API. My focus will be on delivering a robust crypto data API layer, featuring: real time price aggregation with WebSocket streams and minimal latency, historical OHLC data across 1m 5m 1h and 1d intervals, technical indicators such as SMA EMA RSI with modular extension support, reconnection logic and strong error handling for exchange APIs, clean REST and WebSocket endpoints for Android app integration, and well documented README with JSON response examples and usage guide. I specialize in API development, real time data streaming systems, crypto exchange integrations, and scalable backend architectures with focus on reliability, performance, and clean modular code. My focus will be on building a structured and maintainable crypto data service that integrates smoothly with your Android trading signal application. Let’s connect to review your expected data volume, hosting preference, and indicator calculation logic so we can finalize the API architecture. Best regards, Nikita Gupta.

@alizain721

You asked for tick-by-tick prices under one second from Binance, Upbit and Bithumb and an easy REST or WebSocket interface — that exact latency and multi-exchange normalization is my specialty. I’ll keep the API data-only, modular, and well documented so your mobile app can plug in without surprises. One issue I often see that wasn’t called out is clock drift and out-of-order ticks across exchanges; handling monotonic timestamps and sequence deduplication is critical to keep historical candles aligned and indicators correct. I built a Node.js market-data aggregator for a crypto signals mobile app that normalized Binance and Coinbase Pro websockets, stored 1000+ candles per interval in PostgreSQL, and exposed SMA/EMA/RSI endpoints consumed by the mobile client. My approach: build modular exchange adapters, a central normalizer that emits monotonic ticks, a WebSocket broadcast for live ticks plus REST historical and indicator endpoints, and robust reconnection with exponential backoff and health checks. I’ll include a concise README, example JSON responses, tests, and MIT-style headers, and deliver source in a private Git repo. Do you want the API to return per-exchange ticks only, or also an aggregated best-price stream across exchanges? If you’re available I can jump on a quick call to scope symbols and hosting. Regards, Zweidevs

@johibkhan

Hi, As an experienced software application developer, I’m confident that I can masterfully execute your project. Over the past 15+ years, I've worked with numerous big-name companies like Avaya, Pramati, CGI, and more to build complex trading platforms and SaaS systems resilient enough to handle intricate, real-time workloads. My grasp of efficient coding and performance optimization aligns perfectly with your need for clean, well-documented API layer capable of aggregating and serving real-time market data from disparate exchanges. My consolidation of these invaluable experiences over the years led me to specialize in API development utilizing Node.js and Python - precisely what your project entails. Furthermore, my successful history in upholding tick-by-tick real-time prices with minimal latency makes the delivery of live prices at least 99% of the time under one second a guarantee. I understand that you need more than just API development - a larger mobile app project awaits. My proficiency extends to mobile app development (Android & iOS); with a knack in building Trading & fintech mobile apps that offer features such as real-time data, charts,and alerts. Think long-term, think collaboration; let’s commence our partnership on this project and explore even greater heights together.

@pinkeegupta

Hi, I have reviewed your project requirements and I’m confident I can deliver accurate, data-driven, and scalable solutions for your needs. May I know you Mobile app or web based system? Please message me. 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

@waqaswebmaster

I specialize in high-concurrency financial data architecture, specifically engineering low-latency aggregation layers that normalize disparate exchange payloads (Binance, Upbit, Bithumb) into a single, unified stream. Normalization Engine: Developing a Node.js/Python adapter pattern to sync tick-by-tick WebSockets and REST OHLC data into a standardized JSON schema. Server-Side Analytics: Implementing a TA-Lib or Pandas-driven indicator layer to calculate RSI, EMA, and SMA in real-time before serving the response to your frontend. Resilience Logic: Architecting an automated reconnection & heartbeat system to ensure >99% uptime and sub-second latency across all three exchange streams. I utilize Redis-based caching and Asynchronous non-blocking I/O to ensure your historical 1,000-candle payloads are delivered without throttling your live price updates. I’ve built several "Exchanged-Agnostic" API layers for high-frequency trading applications—let’s get this moving.

@Hemantt841

Delivering real-time and historical cryptocurrency market data with precision and reliability demands a robust and scalable API architecture. Your goal to aggregate tick-by-tick prices, well-aligned OHLC data, and common technical indicators from Binance, Upbit, and Bithumb aligns perfectly with a modular, fault-tolerant backend design that prioritizes minimal latency and high availability. Ensuring seamless integration with your larger mobile app requires clear, standardized data structures and comprehensive documentation, which will be central to this project’s success. The approach will leverage either Python or Node.js to build a clean API layer, focusing on resilient WebSocket connections for live price streaming and REST endpoints for historical data and indicator calculations. Advanced error handling and automatic reconnection mechanisms will guarantee over 99% uptime with sub-second update delivery. The system will normalize data across exchanges to provide consistent time-aligned OHLC candles and compute SMA, EMA, and RSI server-side, with extensibility for future indicators. The API’s design will emphasize modularity and clarity, facilitating easy maintenance and enhancements. Commitment to quality includes delivering well-documented, fully tested source code in a private Git repository, complete with setup instructions and an MIT license header. The provided README will include example API calls and expected JSON responses, ensuring straightforward adoption. Ready to collaborate closely and ensure your data aggregation needs are met with precision and scalability—let’s discuss the next steps to get this vital infrastructure powering your trading app.