Automated Trading Data Import Tool

@AwaisChaudhry

Hello, I understand you want an automated import tool that pulls trade history, balances, and real-time prices from multiple brokers/exchanges, normalizes the data, and feeds it into a near real-time dashboard. I’ll build a modular integration layer (Python/Node) that authenticates with user tokens, supports scheduled jobs or webhooks, and stores data in a query-friendly database. The system will normalize incoming JSON/CSV, standardize fields across sources, and provide clean API endpoints plus a small demo dashboard to prove data flow. I’ll ensure easy onboarding for new prop firms and maintainable code with thorough docs and setup instructions so you can spin up the stack on your server. Deliverables: • Clean, well-documented code that fetches and parses trade history, balances, and price data from the specified sources • A small demo dashboard or API endpoint showing syncing in action • Clear setup instructions to run the stack on your server I’m ready to share a realistic timeline and ballpark quote once we confirm the specific API access levels and any admin constraints. What specific tokens/credentials are required for each provider (TradingView, Tradovate, Tradesea, NinjaTrader), and do you need the system to support webhook-based triggers in addition to scheduled jobs? Which data schema do you prefer for normalized data (e.g., a unified trade history table with fields: id, timestamp, symbol, side, qty, price, account, source)? Do you require historical data im

@Microlent

Hi, I can help you move away from manual CSV uploads by building the automated integration layer you need. Most trading platforms still rely on outdated manual imports. I have built many custom data pipelines and can set this up to pull directly from your brokerage APIs. I will focus on several key areas to make this work. First, I will build an authentication service to handle user tokens for Ninjatrader, Tradovate, and the others you mentioned. Second, I will write a normalization engine. This turns varied data from different sources into a clean format for your database. Finally, I will set up the scheduled jobs or webhooks to keep your dashboard updated in real time. Your plan to include prop firms is smart. I will build the connector logic to be modular. This means you can add new firms later without rewriting the whole system. For similar work and case studies, feel free to check my profile: https://www.freelancer.com/u/microlent I can deliver the Python code and a demo dashboard to prove the data is flowing. Are you looking to store this in a SQL database or something like MongoDB? ~ Rajesh

@OutsourceMan

⭐⭐⭐⭐⭐ • Project Understanding: We understand your requirement for an automated trading data import tool that pulls trade history, account balances, and real-time price data directly from APIs of TradingView, Tradovate, Tradesea, NinjaTrader, and other prop firms, replacing manual CSV uploads. • Proposed Solution: CnELIndia will build a scalable Python/Node.js integration layer with secure user token authentication, scheduled jobs or webhooks, data normalization, and PostgreSQL storage for near real-time front-end queries. Modular design allows easy addition of new firms. • Deliverables: Well-documented code for data fetching/parsing, demo dashboard/API endpoint showing automated flow, and detailed setup instructions for self-hosting. • Steps CnELIndia Team Will Take: 1. Refine requirements and research APIs (Week 1). 2. Develop core integrations and POC with one live account (Weeks 2-3). 3. Implement normalization, DB layer, dashboard, and full testing (Week 4). 4. Provide documentation and deployment support. • Timeline: 4 weeks for functional POC. • Ballpark Quote: $3,200 USD.

@a4logic

Hello, With over a decade of experience in web services, including web design & development and Content Management Systems, rest assured, I understand what it takes to make your project successful. Automating the import process of the necessary data types and establishing a proficient data flow system require technical finesse and attention to detail, which I pride myself on. Using my skills in JavaScript and PHP, I can write clean, well-documented code that will parse JSON/CSV files and store them in an easily accessible database for your frontend queries. To showcase my understanding of your project's needs, I can provide you with a small demo dashboard or API endpoint depicting the synced data flowing from at least one live account. Furthermore, I will ensure your seamless usage post-project completion by providing detailed setup instructions that allow you to independently manage the stack on your server. Beyond my technical capabilities, another valuable trait of mine is my dedication to client satisfaction. Partnering with you means working hand-in-hand to not only meet but exceed expectations. So let's turn your vision into a reality that not only automates your processes but also adds that "WOW" factor you're looking for. Give me the chance to work with you on this project and experience what miracles we can create together! Thanks!

@diektech

Hi, This is Elias from Miami. I have gone through your project description and understand you’re looking to create an automated trading data import tool to eliminate manual CSV uploads from platforms like TraderStats and TradeZella. It sounds like a great way to streamline your trading processes! With over 10 years of experience in PHP, JavaScript, and Python, I’ve developed similar automation tools that enhance efficiency and accuracy in data management. I’m confident I can help you build a robust solution. To approach this project, I plan to first understand the data structure of your current CSV files and identify the APIs provided by the trading platforms. Then, I will design an intuitive interface that allows users to configure automation settings easily. Finally, I’ll implement the backend logic to ensure seamless data import into your system. I have a few questions to get a better understanding: Q1 – What specific data fields do you need to import from these platforms? Q2 – Are there any existing systems or databases we need to integrate with? Q3 – What user roles will be accessing this tool, and what permissions should they have? Looking forward to hearing from you.

@n2rtechnologies

Hi, You're tired of manual CSV grind—you want real-time trading data flowing straight into your system. Quick question: are you pulling from brokers' APIs directly, or do you need a middleware layer that normalizes data from multiple sources? Let's talk details. Best Regards, Hasan

@dfordesigners

Hi there, I have extensive experience in building automated data import tools similar to what you are looking for. I have successfully integrated live brokerage and exchange APIs to automate the import of trade history, account balances, and real-time price data into user-friendly dashboards. My approach involves authenticating with user tokens, scheduling jobs, normalizing data, and storing it in a database for real-time querying. I can deliver clean, well-documented code in Python or Node.js, along with a demo dashboard/API endpoint showcasing the synced data. I will also provide setup instructions for easy deployment on your server. Let's discuss further to align on technical approach and requirements. Looking forward to collaborating on this project. Best, Kausar | Full Stack Developer

@kamran2012

Hello, I will build the automated integration layer — token-based auth, scheduled polling (with webhook support where available), JSON/CSV normalization, and a unified database feeding a demo dashboard with near real-time queries. For connecting Tradovate, TradeSea, NinjaTrader, and TradingView, I will design the normalizer as a plugin architecture — each broker gets its own adapter module with a shared interface. This way, adding future prop firms means writing one new adapter without touching the core pipeline or database schema. Questions: 1) Which of the four platforms do you already have API credentials for — and which one should serve as the proof-of-concept target? 2) For the database layer, do you have a preference (PostgreSQL, MongoDB, etc.) or should I recommend based on query patterns? Looking forward to your response. Best regards, Kamran

@seefattechnologi

I checked your project description -------I believe I can do this project in an efficient and professional manner--Automated Trading Data Import Tool I have 8+ years of experience in PYTHON/NODE.JS /REACT.JS /PHP/Full stack Developer. Expertise in: HTML, UI/UX, Bootstrap, JavaScript, React.js, PHP, Laravel, UX, Magento, WordPress, Shopify, MySQL, CMS, and various frameworks to deliver top-notch results I have some queries to give you accurate time and price Best Regards,

@ZohaibRoy

⭐⭐⭐⭐⭐ Automate Data Integration for Trading Platforms Efficiently ❇️ Hi My Friend, I hope you are doing well. I've reviewed your project requirements and see you are looking for a solution to automate data integration from trading platforms. You don’t need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for data integration. I will create an efficient integration layer that pulls data from live brokerage APIs and feeds it into a dashboard seamlessly. ➡️ Why Me? I can easily handle your data automation project as I have 5 years of experience in API integration, data processing, and dashboard development. My expertise includes working with Python and Node, along with strong skills in database management and real-time data handling. I ensure a smooth workflow from data fetching to displaying it in a user-friendly format. ➡️ Let's have a quick chat to discuss your project in detail, and I’ll show you samples of my previous work. I look forward to our conversation! ➡️ Skills & Experience: ✅ API Integration ✅ Data Normalization ✅ Real-time Data Processing ✅ Python Development ✅ Node.js Development ✅ Database Management ✅ JSON/CSV Handling ✅ Scheduling Jobs ✅ Dashboard Development ✅ Documentation ✅ Error Handling ✅ User Authentication Waiting for your response! Best Regards, Zohaib

@shaktistanwar

Subject: Proposal for Trading Data Integration Platform – TechPro Compsoft Hello, I’m Shakti Singh from TechPro Compsoft, an ISO & CMMI-certified IT consulting company with 70+ experts and 100+ global clients. We specialize in building scalable API-driven platforms and real-time data systems. Your requirement to eliminate manual CSV uploads and build an automated integration layer for trading platforms aligns perfectly with our expertise. We can develop a robust backend service that securely connects with TradingView, Tradovate, NinjaTrader, and other prop firms using APIs, tokens, and webhooks. What we will deliver: ✔ Automated data ingestion (trades, balances, real-time prices) ✔ Secure authentication & token-based access ✔ Data normalization (JSON/CSV → structured DB) ✔ Scalable architecture to add more brokers/prop firms ✔ Scheduled jobs + webhook-based syncing ✔ Demo dashboard/API to visualize live data Our team has strong experience in Node.js/Python, financial data systems, and real-time architectures using queues, caching, and optimized APIs. We ensure clean, documented code and easy deployment on your server. I’d be happy to discuss your preferred integrations and suggest the best architecture for scalability and performance. Looking forward to collaborating. Regards, Shakti Singh TechPro Compsoft

@DeveloperStation

Hi, We’ve built similar automated trading tools that connect with multiple broker APIs to fetch trade data, including real-time price updates and account balances. We also developed a dedicated dashboard for users to view their trading statistics, which aligns perfectly with your idea of a stats-style dashboard. For your project, we can use a combination of Python and Node.js to create a robust backend that handles multiple broker connections and processes large volumes of data efficiently. We can also implement webhooks for real-time updates, ensuring that users receive the latest information without delay. Let’s schedule a quick 10-minute call to discuss your project in more detail and see if I’m the right fit for your needs. I’m eager to learn more about your exciting project. Best regards, Adil

@Herculesz

Hi I can build an automated brokerage and prop-firm integration layer that pulls trade history, balances, and real-time price data without relying on manual CSV uploads. The main technical challenge is normalizing different API formats from platforms like Tradovate, NinjaTrader, TradingView-related sources, and future prop firms into one clean database structure. I can develop this using Python or Node.js with secure token authentication, scheduled sync jobs, webhook support where available, API rate-limit handling, and clean error logging. The backend can include reusable connector modules so new brokers or prop firms can be added later without rebuilding the full system. I can also create a small demo dashboard or API endpoint to show synced trades, account balances, and live/near real-time pricing in action. The system will be structured with clear documentation, environment setup instructions, and a database schema ready for your front-end dashboard. My focus will be a reliable proof of concept that connects to at least one live account and proves automated data flow from broker API to dashboard. Thanks, Hercules

@corpmember29

I HAVE BUILT MULTI-LLM BACKEND SYSTEMS WITH INTELLIGENT ROUTING, FAILOVER LOGIC, AND PRODUCTION-GRADE API ORCHESTRATION. I can integrate OpenAI, Grok, and additional AI services into your existing backend, delivering a secure, scalable AI-powered search and response system with clean architecture and high reliability. Core Deliverables: • Multi-API routing engine (ChatGPT + Grok + fallback logic) • RESTful backend (Node.js or Python) with structured JSON responses • Secure authentication handling (API keys, OAuth2, JWT) • Request validation, error handling, retries, and rate-limit management • Middleware layer for orchestration and response normalization • Logging & monitoring for API usage and performance Technical Approach: • Smart query routing based on rules, cost, latency, or response type • Async processing with webhook support where required • Caching layer (Redis) to reduce API cost and latency • Scalable deployment (AWS/DigitalOcean/VPS) with security best practices Relevant Experience: • Built LLM-powered tools using OpenAI APIs in production • Developed multi-service API orchestration systems • Designed secure, high-availability backend architectures Deliverables include full source code, API documentation, and deployment support. Timeline: 2–4 weeks depending on complexity Open to fixed or hourly engagement I also provide 2 YEARS FREE SUPPORT post-delivery for maintenance, scaling, and enhancements.

@vladang

You’re trying to eliminate the fragile CSV step and replace it with a continuous, reliable data pipeline from broker APIs into a live dashboard—that’s where most trading tools still break. I’d structure this as a modular ingestion layer: each platform (TradingView, Tradovate, etc.) gets its own connector handling auth, rate limits, and schema quirks. A scheduler/webhook listener pulls trades, balances, and price data, then normalizes everything into a unified format before storing it (likely Postgres). I’ll also add idempotency checks to prevent duplicate trades and a lightweight caching layer for near real-time reads. Small improvement: a connector interface so adding new prop firms later is plug-and-play, not a rewrite. I’ve built similar backend systems (Aras) using Python/PHP, handling external API inconsistencies and real-time sync reliability. Happy to map this into a working PoC quickly. Q1: Which broker/API has the highest priority for the first live connection? Q2: Do you already have a preferred database schema or should I define one? Q3: How real-time does “near real-time” need to be (seconds vs minutes)?

@teodorgeorge

Hello, I can help you build a clean and reliable integration layer that automatically pulls trade history, balances, and price data from sources like TradingView, Tradovate, Tradesea, and Ninjatrader. I’ve worked with token-based authentication and scheduled syncs, and I can keep the architecture simple so it’s easy for you to maintain. I’ll set up the normalisation and database flow so your dashboard or API can read everything in near real time, plus provide a small demo to show the automated pipeline running smoothly. Thanks, Teo

@taimoorkhan311

Hello, With 4 years of experience in Node.js, PHP, and Automation, I am well-equipped to handle your Automated Trading Data Import Tool project. I understand your requirement for building an integration layer to automatically pull data from live brokerage or exchange APIs and feed it into a stats-style dashboard. I have expertise in PHP, JavaScript, Python, Software Architecture, Node.js, Automation, Database Management, and API Development to ensure a professional and efficient solution. I have carefully read the project requirements and am confident in my ability to deliver this project with perfection. Let's discuss further details in chat to align on the specifics. I am open to discussing the budget and timeline to meet your needs. Looking forward to connecting and discussing this project further. Best regards, Taimoor from Pixels Soft

@ShaikhAneesa

Hi there, I understand you want to eliminate the friction of manual CSV uploads by building a dedicated integration layer that synchronizes trade history, balances, and market data directly from brokerage APIs into a normalized database. My approach is to develop a modular middleware service using Python or Node.js that interfaces with the specific authentication protocols of platforms like Tradovate and NinjaTrader. I will implement a worker-based architecture using scheduled jobs or webhooks to poll these APIs, extracting the raw payloads and normalizing them into a unified schema. This ensures that whether the data originates from a prop firm or a standard exchange, it is stored in a consistent format that your dashboard can query in near real time. I prioritize "extensibility" in the architecture. By using a provider-pattern design, I can build a standard interface for the initial platforms TradingView, Tradovate, and others making it simple for you to "plug in" additional prop firms or exchanges in the future without rewriting the core logic. The system will be designed for secure token management and will include a robust error-handling layer to manage API rate limits or connectivity issues. Are you planning to use a specific database (like PostgreSQL or InfluxDB for time-series data), and do any of your target prop firms require a specific bridge like an Rithmic or CQG connection? I’m ready to help you automate your trading data pipeline. Warm Regards, Aneesa.

@durgesh8527

With over 12 years of experience in full-stack development, I'm confident that I can bring your project to life. My proficiency in JavaScript, Node.js, PHP, and Python aligns perfectly with your requirements for this project. I've built numerous solutions that involve API integrations, and have worked extensively with financial data, making me comfortable with the nature and sensitivity of the information we'll be working with. One of my core strengths is my ability to understand client requirements quickly and deliver on point with minimal back-and-forth. This skill will prove invaluable as we go through the process of automating the import and normalization of trade history, account balances, and real-time price data for multiple prop firms. My strong grasp of RESTful APIs, GraphQL and solid experience in handling JSON/CSV data will ensure a smooth flow of information into our databases. I don't just build software; rather, I build relationships that foster efficiency throughout the development process. In line with this principle, I'll provide you not only with clean and well-documented code but also thorough setup instructions that enable you to deploy and run your new tool hassle-free on your server. Together, we can make your vision of a seamless, real-time trading dashboard a reality. Let's discuss how we can put my extensive skill set to work for you!