Sharekhan Trade Tiger API Developer

@rohitpatidar001

With over 9+ years of hands-on experience in Java and J2EE technologies, I have successfully designed and implemented complex applications with a particular emphasis on distributed systems. My diverse background also includes working with financial APIs and integrating them into existing platforms, two key elements required for your project. My expertise in Spring Boot-based microservices and RESTful APIs aligns perfectly with your need for data handling and integration. Moreover, my experience with PostgreSQL, MySQL, and MongoDB would prove valuable in managing and extracting data from the Trade Tiger API which would in turn assist you in accessing the 20 years of historical data. Appreciating your preference for Python or Java, my proven skills coupled with my strong command over both languages will ensure that the resultant integration is robust yet user-friendly. Drawing from my experience of developing backend architectures end-to-end or smoothly assimilating with an existing team and codebase, I'm confident that I can expedite the integration seamlessly while maintaining clean system boundaries, ease of use, reliability, and most importantly scalability. Given the trust you place in this crucial task, I assure you that I'll treat this project as my own and ensure its success.

@ducthodg

As a 10+ year seasoned financial software developer specializing in MQL4 and MQL5, I possess a deep understanding of trading algorithms, making me the perfect fit for your Sharekhan Trade Tiger API integration and data access project. Not only have I written Expert Advisors and Indicators for both MT4 and MT5 platforms, but I've also successfully crafted scripts, utilities, licensing systems, copy bots, and even integrated news feeds to enable real-time tracking - skills that align perfectly with your project's needs. Moreover, my proficiency extends beyond MQL to languages including Python, C++, C, Java, VBA and more; granting me the flexibility to proficiently work on multiple project facets simultaneously. My ability to create synergy between algorithmic trading systems and the data handling capabilities within makes me a powerful asset. Ask for examples of my past work? Sure thing! In recent times, I have integrated various platforms with Meta Trader using different APIs (including Jforex, Amibroker, ProRealTime etc.) displaying my competence in tackling complex financial tasks with ease. So brace yourself for capacity driven by experience when we take this maiden flight together. Looking forward to working on this exciting project while relieving you of any technical hiccups there may be.

@antonk52

Hello, I hope you're having a great day. I have Java and Python skills and I have delivered multiple projects integrating financial APIs, including historical and real-time equity feeds. In a recent project I integrated a broker API to store tick and minute-level data into PostgreSQL and S3, using WebSocket for live ticks and batch pulls for historical ranges, and I handled normalization and indexing for fast queries. I would begin by reviewing Sharekhan auth and data endpoints, prototype a Python client with requests and websockets, normalize data with pandas, and stream updates via Kafka or Redis if needed. I'd appreciate the chance to discuss the specifics with you. Thank you, Anton

@Hrolgar

Trade Tiger's docs don't cover token refresh timing, websocket reconnect behavior on session drop, or how order field errors surface versus silent drops. Those gaps mean most integrations assume behavior that differs from runtime reality. Plan: Python client with proactive token refresh (not reactive-on-401), websocket quotes in a background thread, order layer validates margin and position before every send, request/response logging for audit, rate limiter queues bursts. M1: Auth + session client, INR 2625, 2d. M2: WebSocket + data pulls, INR 2625, 3d. M3: Order layer + pre-send validation, INR 2625, 3d. M4: Rate limiter, logging, tests, INR 2625, 2d. Equity, F&O, or both, and do you have sandbox credentials ready or should M1 include setup?

@niveditaj1

Hello There, You want a robust integration with the Sharekhan Trade Tiger API to extract 20 years of historical data and stream live equity market updates. 1) Have you already secured the API access keys and specific historical data permissions from Sharekhan? 2) What is your preferred storage format for the 20 year dataset such as a SQL database or local flat files? 3) Do you need a custom dashboard to visualize the real time feed or just the underlying data stream? We will turn your trading terminal into a powerful data engine that feeds you the exact information you need to build winning strategies. By automating the retrieval of two decades of market history we eliminate the manual grind and give you a clean organized dataset ready for deep analysis. You will gain peace of mind knowing your live market feed is stable and fast allowing you to focus on your trading decisions while the technology handles the heavy lifting in the background. I will build the integration using Python to leverage its superior financial libraries and ease of data handling. I will implement a multi threaded architecture to manage the high volume of historical records while maintaining a low latency WebSocket connection for real time equity quotes. The solution will include automated error recovery to handle session timeouts and a structured data pipeline that ensures every tick is captured and logged correctly for your future backtesting needs. Best regards, Nivedita Joshi

@Ritesh11gupta

I'm excited about the opportunity to work on 'Sharekhan Trade Tiger API Developer'. I bring technical expertise, a problem-solving mindset, and a commitment to delivering beyond expectations. I'm available right now and happy to jump on a call to discuss scope. Looking forward to collaborating with you!

@manoval09

Hi, Your Trade Tiger integration is missing the second half of the brief — "the primary function is..." cuts off — so I want to make sure I'm solving the right problem before we go further. That said, Trade Tiger's API has a well-known shape: session-token authentication, order placement endpoints (equity, F&O), market data streaming, and portfolio/position fetching. My approach would be to wrap the session auth in a refresh-safe layer first, since expired tokens mid-session are the most common failure point in Trade Tiger integrations, then build the core order and data endpoints on top with structured error handling that distinguishes broker rejections from network failures — both need different retry logic. Before scoping the full timeline, one question: is this a backend service feeding your own UI/algo, or are you piping data into a third-party platform? That determines whether I build a REST wrapper, a WebSocket feed handler, or both — and it moves the estimate by roughly 40%. Reply with the full description and I can give you a concrete delivery plan, starting with a working auth + one order endpoint within 24 hours of kickoff. Best regards, Val

@vertechsolutions

Hi, I just finished a 5-star project solving exactly the integration of financial APIs to fetch long-range historical market data and stream real-time equity data. Here is what I will do: Implement the Sharekhan Trade Tiger API and configure it to retrieve 20 years of historical equity data with clean, structured output. Develop the real-time market data streaming module for equities with stable, low-latency performance. Build a robust data integration pipeline in Python or Java to ensure reliable processing, storage, and analysis. 10 days free support after delivery Milestone-based payment Reply "YES" and I will share a similar sample within 1 hour. Best regards, Ribal Ali

@arshadn34

Hello, I have strong experience in API integrations, backend systems, and data-driven applications. I can integrate the Sharekhan Trade Tiger API to fetch both **20 years of historical market data** and **real-time equity market data** efficiently. ### What I can deliver: ✔ Historical data extraction, storage, and processing ✔ Real-time equity market feed integration ✔ Clean Python or Java based solution ✔ Fast and secure API integration ✔ Data export to CSV / Excel / Database ✔ Error handling and stable architecture ### My Relevant Experience: * Financial / third-party API integrations * Real-time data systems * Backend development with Node.js / Python * Large dataset handling and automation * Dashboard / analytics systems ### Approach: 1. Connect Trade Tiger API securely 2. Fetch and structure 20 years historical data 3. Implement real-time equity stream 4. Store data in database / file format 5. Testing and deployment support I can start immediately and deliver a reliable solution quickly. Please share API documentation or access details. Regards, Arshad Nasir

@gundacharankumar

I have very good experience in creating REST API. I have copilot to work on this requirement. So I can complete the task in 1 or 2 day.

@nishtha506

Hi, I can integrate the Sharekhan Trade Tiger API and deliver a robust solution for both 20 years of historical data and real-time equity market feeds. ✔ Strong experience with financial APIs and large-scale data pipelines ✔ Expertise in Python/Java for high-performance integrations ✔ Built real-time and historical data ingestion systems with validation and failover handling What you’ll get: Clean API integration with secure authentication Efficient extraction & storage of 20 years historical data Real-time market data streaming with low latency Structured, analysis-ready datasets (CSV/DB/time-series) Error handling, retries, and logging for reliability I’ve worked on similar API-driven systems involving high-volume data processing, automation, and cloud-based pipelines (AWS/Azure), ensuring performance and scalability. I can start immediately and deliver a stable, production-ready solution quickly. Let’s connect to discuss your exact data requirements and timeline. Best, Nishtha

@adrian1a

Hi I can integrate the Sharekhan Trade Tiger API for your project. I have worked with the Mirae Asset Sharekhan REST APIs in Python and Java, so I know how to handle the JWT authentication and WebSocket streaming for real-time equity data. I can pull the EOD historical data since inception and the last 7 days of intraday data as per the API limits. I will set up a clean data pipeline to handle the JSON responses and ensure your equity feeds are stable. I have built similar financial integrations before and can get this running quickly. Are you using a personal customer account or a vendor/partner account for the API access

@wggorking6

一、历史数据（20年）接入 通过 Trade Tiger API 接口，分批拉取历史K线数据（日线/分钟线） 设计数据分片与增量同步机制，避免单次请求超限 使用本地缓存 + 数据库（PostgreSQL/ClickHouse）构建高性能历史数据仓库 支持按股票代码、时间区间、周期灵活查询 二、实时行情数据 建立 WebSocket 长连接或轮询机制（根据API能力） 实现断线重连、心跳检测、消息队列缓冲（Kafka / Redis Stream） 提供标准化行情数据结构（tick、bid/ask、OHLC） 三、系统架构 Java（Spring Boot + Netty） 数据层：ClickHouse / MySQL / Redis 服务层：行情服务 + 历史数据服务分离设计 支持API化输出，便于策略系统或前端调用 四、类似项目经验 曾完成券商行情API对接系统，实现A股/美股实时数据接入与K线生成 构建过10年以上历史行情数据库，用于量化回测系统 开发过基于spring的实时行情推送系统（日处理百万级tick数据） 参与金融数据清洗与对齐（复权、缺失修复、异常过滤） 五、交付能力 稳定API服务 + 数据同步任务 完整文档与接口说明 可扩展架构，支持后续量化或AI分析接入

@sonrajlabs

Hi, I've worked with financial APIs like Zerodha Kite and Upstox — Trade Tiger follows a similar structure, so I can integrate it quickly. I'll deliver: 20-year historical data downloader Real-time equity market feed Clean, documented Python code Quick question — do you need the data stored in a database or fed into an existing application? Ready to start immediately!

@priyankak382

Hi, I'm Priyanka — Python & Java developer with hands-on experience in financial API integration and market data pipelines. I'll integrate the Sharekhan Trade Tiger API to pull 20 years of historical data and stream real-time equity market data — clean, structured, and ready for analysis or trading logic. What you get: Full API integration · Historical data pipeline · Real-time market feed · Clean data storage · Well-documented code Python-based. Fast delivery. Production-ready. Worked on similar financial data integrations — happy to discuss specifics on a quick call.

@bhagwatij

Hi there, My proposal is always to the point. I have good experience working with finanical api like Plaid, Pentadata , Fiserv and Coinbase to name a few. On a different freelancing platform I have a stellar profile. Websockets can take care of the real time events, while historical can be an api call. My skillsets are Java/spring eco system. If you would like to discuss this further lets connect. Thanks, bhagawathi

@DanielGarac

Hi, I can integrate the Sharekhan Trade Tiger API for both historical and real-time data access. I have experience building financial data pipelines and API integrations using Python, handling authentication, rate limiting, data normalization, and storage. For your project I will deliver a clean Python integration with the Trade Tiger API, access to 20 years of historical equity data with efficient pagination and storage, real-time market data feed for equities with proper connection management, structured data output in CSV, Excel, or database format, and clear documentation covering setup, API keys, and how to extend for additional data points. I work with REST APIs, WebSockets, pandas for financial data processing, and can set up automated data refresh schedules. 14 plus years delivering technical projects for enterprise clients at Globant and J and J. Clean code, professional communication. Happy to discuss your specific data requirements. Daniel Garac