Broker API Feed ( Dhan) to Amibroker

@ducthodg

As a seasoned MQL4 and MQL5 developer with over a decade of experience, I have an in-depth understanding of trading algorithms and have worked extensively with various trading platforms including Amibroker. My knowledge in multiple programming languages, such as C#, C++, and Java, enables me to handle complex tasks efficiently. I appreciate the unique aspect of your project- the need for specific data to avoid clutter. I can assure you that I am the right fit for the job. Not only will I create a user-friendly program that fetches data from Dhan API at 30-second intervals but also build an efficient database to filter and save the required data. My expertise with Amibroker will further ensure a seamless connection between the fetched data and the platform. Additionally, my proficiency doesn't end with MQL languages; Pine Script, Easy Language, Python, and more are part of my repertoire, allowing for more diverse options that tailor to your needs. To prove this, I will perform thorough research on different methods to get live data to Amibroker from Dhan API and present the pros and cons for your review. You can also expect excellent customer support should you choose me for this project - so why wait? Let's get started!

@anandan1995

Hello, I have read your job description and I am interested in your job post.I am ready to start now. Please send me a message to discuss more about your project, already worked amibroker bi-bridge with kite api Can you please give me a chance I am a Senior Software Developer with over 8+ years of experience in designing and developing scalable web and desktop applications. I specialize in Microsoft technologies and delivering high-quality, secure, and performance-driven applications. My Expertise: Backend Development:ASP.NET, ASP.NET Core, MVC, Web API, WebForms, WCF Services Programming Languages:C#, Frontend Development:JavaScript, jQuery, AJAX, HTML, CSS Database Technologies:SQL Server, MySQL Reporting Tools:Crystal Reports, RDLC, SSIS, SSRS

@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

@Hemantt841

Integrating a broker API like Dhan with Amibroker to deliver tailored, clean data streams demands a precise balance of data engineering and real-time processing expertise. Your need for a single-click solution fetching data every 30 seconds and filtering it before feeding into Amibroker highlights the importance of an efficient, scalable workflow that minimizes clutter while maximizing relevant insights. Understanding the nuances of API data fetching, database management, and live data integration is crucial to ensure seamless, low-latency updates tailored to your trading strategy. A robust approach involves leveraging PHP or C# for API interaction and data retrieval, combined with MySQL for structured storage and filtering of incoming data. The filtered dataset can then be connected to Amibroker via multiple methods, such as direct database queries, custom DLL plugins, or real-time data streaming through socket communication. Each approach offers distinct trade-offs in latency, complexity, and maintainability, which will be thoroughly researched and documented to help you make an informed decision aligned with your operational preferences and infrastructure. Commitment to delivering a clean, optimized, and user-friendly interface that supports effortless data refresh with a single click is paramount. I will provide a detailed comparison of integration workflows, ensuring transparency and clarity before final implementation. Let’s discuss your specific data filtering criteria and preferred technologies to tailor a solution that elevates your Amibroker experience with precise, clutter-free live data.

@ajittkumark

Hi, I can help build this as a lightweight C# data bridge that fetches live market data from the Dhan API, filters it, stores only required records, and feeds the processed stream into AmiBroker. I have experience building .NET based market data utilities, scheduled API integrations, and data processing tools where low overhead and controlled storage were important. The solution would include: • single click Windows utility • API fetch every 30 seconds • filtered storage into structured database • configurable instrument selection • logging and error handling For database: • SQL Server or lightweight SQLite depending on preferred deployment • filtered schema for only required symbols and fields For AmiBroker integration, I can evaluate and document 3 approaches with pros and cons, for example: • CSV auto export and timed refresh • OLE/ODBC database connection • custom plugin or RTD style feed bridge This will let you choose between simplicity, speed, and long term maintainability before finalizing integration. Deliverables: • working executable • full source code • database setup • integration comparison document • tested feed to AmiBroker Happy to review your target symbols and preferred storage model before starting.

@Sadiyasyeda24

I saw your project and am confident I can deliver on this. I'm currently working on a similar project and will create a seamless program to fetch data from Dhan API every 30 seconds, filter, and connect it to Amibroker. With tailored data, you'll have real-time insights at your fingertips, ensuring efficient trading decisions. This tailored approach will streamline data flow, providing specific, relevant information to Amibroker. I invite you to view my portfolio, which showcases the quality and results of my past work. I look forward to hearing from you. Regards, Sadiya

@ffulb

Fetching Dhan API data every 30 seconds and filtering it for Amibroker is straightforward. I'll build a Python script for data collection, MySQL for storage/filtering, and research the best Amibroker integration methods. Three main approaches exist: DDE plugin, TCP/IP data server, or file-based ASCII import - each has different latency and complexity tradeoffs. Built something similar with my algorithmic trading bot that pulls crypto data via APIs and handles real-time processing. Also created a price aggregation engine tracking 800+ products with automated filtering pipelines. You can see these projects at ffulb.com. Need Dhan API credentials and your Amibroker setup details to assess the best integration path. Can deliver this within a week once I take a look at your environment.