Exness Trade History Data Extraction - phase 2

@AwaisChaudhry

Hello, I understand you need a reliable, repeatable way to pull the full Exness trade history and deliver it in a clean, analyzable format (CSV or JSON) with all fields like ticket, symbol, open/close times, side, volume, price, profit, commission, swap, comment, etc. The goal is accuracy and on-demand refresh without manual login, while respecting Exness security rules. I will build a compact, cross-platform extractor in Python that uses the official Exness API where available; if API access is restricted, I'll implement a secure login automation flow with strict credential handling to avoid account locks. The tool will fetch the complete history for a requested date range, ensure no missing rows, and output both CSV and JSON with all fields. It will run on Windows or Linux with minimal dependencies, and can be scheduled via Windows Task Scheduler or cron for on-demand refresh. It will include an initial sample batch to prove feasibility and provide clear docs on installing, scheduling, and changing credentials or date ranges. The plan includes incremental runs and a delta option to refresh only new records. 1) Do you have API access for Exness or should I rely on a secure login automation approach? 2) Any constraints on API rate limits or IP restrictions? 3) What date range should the initial pull cover, and how often should you refresh? 4) Do you need timezone alignment for timestamps in the export? 5) How do you want credentials stored and rotated for repeated runs?

@LiveExperts

Hello, "As a dedicated team of experienced engineers and developers at Live Experts, we have all the necessary skills to not only pull the Exness trade history data for you but also deliver it in a clean, analyzable format just the way you need. Our proficiency with tools such as Python, API, and web scraping perfectly aligns with your project requirements ensuring accuracy and repeatability for on-demand data refreshes. Our vast expertise in Data Analysis and Data Processing is especially relevant to your project, as the extracted data needs to be comprehensive yet unharmed in any manner. Moreover, being seasoned developers allows us to handle different technology stacks proficiently, so we are proud to offer tailored solutions that best address your unique needs while following the Exness security rules meticulously. Lastly, we firmly believe in complete client satisfaction and assure you that we will provide clear instructions enabling easy automation and future customization of the solution. Our goal is to not just meet your demands but exceed your expectations in every aspect of this project. Let's get started with a small batch sample test so you can see our capabilities firsthand." Thanks!

@Herculesz

Hi I can build a reliable Exness trade-history exporter that outputs complete, repeatable CSV/JSON with all fields (ticket, symbol, open/close times, side, volume, prices, P/L, commission, swap, comments). The main technical risk is data completeness and stability over time, especially when portal pages paginate/virtualize rows or security controls block automation and cause missing records. I solve this by prioritizing an official/terminal-based data source (API where available, or MT4/MT5 account history export) and validating counts/fields against the Exness portal to prevent truncation. If portal extraction is required, I’ll implement robust session handling, pagination capture, and field-by-field normalization with retries and rate-safe throttling to avoid account locks. The tool will be delivered as a Python package or Node CLI with configurable date ranges and a single command to refresh history on demand. You’ll get clear install/run docs plus optional scheduling instructions (cron/Task Scheduler) so refreshes can be automated without manual steps. I’ll also provide a sample export from a small batch and a reconciliation report showing row counts and key totals match what you see in Exness. Thanks, Hercules

@ASSAMWEB

Greetings, I have read the project description I have been working on a similar project in recent time. am interested in the work open a chat to discuss requirements in details.

@dfordesigners

Hi Harnnull K. I’m your web developer, ready to turn your project Exness Trade History Data Extraction - phase 2 into reality! I’d love to discuss the details and create something amazing together. Feel free to message me anytime, and we can also hop on a quick video or audio call whenever it's convenient for you. I’ve developed many projects exactly like what you’re looking for. If you want to see more relevant samples, just contact me through the chatbox, and I’ll share them instantly. ★ Why Clients Trust Me 500+ successful web projects delivered 430+ positive client reviews Expert in Python, Data Processing, Web Scraping, Data Extraction, API, Data Analysis WordPress, Shopify, PHP, JavaScript, HTML, CSS, Plugin/Theme Development, Laravel, WebApp Clean, modern, responsive and SEO-optimized designs Fast delivery, great communication, and long-term support Available during EST hours for smooth collaboration If you want a professional developer who delivers quality work on time and stress-free, let’s connect. I’m excited to help build something amazing for you. Best regards, Kausar Parveen

@jackson325

Hello there! I understand that you're seeking a reliable method to extract complete trade-history data from the Exness platform, ensuring accuracy and repeatability. My experience in data extraction projects ensures I can meet your requirements effectively. In my previous work, I developed a custom data extraction tool for a financial client that successfully automated the retrieval of trade history, delivering data in both CSV and JSON formats. This not only streamlined their reporting process but also ensured data accuracy. ✅My Plan: - Utilize Python and Selenium for automated web scraping, adhering to Exness's security protocols. - Format the output as required, including all specified fields. - Provide clear installation instructions for running the script on both Windows and Linux. - Supply a sample data file showing successful extraction for your review. Could you let me know what specific access credentials you'll provide, and do you have a preferred scheduling method for running the script? Best regards, Hongqiang Chen

@mattafareed4848

Hello I can build a reliable, repeatable solution to extract full trade-history data directly from Exness using a secure, broker-compliant approach (API where supported, otherwise controlled automation), delivering complete CSV or JSON outputs with all available fields and no truncation. The setup will run on Windows or Linux with minimal dependencies, include clear instructions for credential updates, date-range changes, and scheduling, and I’ll provide a working sample file plus concise documentation so you can refresh the data on demand without manual logins. Regards Muhammad

@muneeb6767

I can build a reliable Python tool to pull your full Exness trade history into clean CSV/JSON using API where possible or safe automation, fully repeatable on Windows/Linux with zero data loss and clear setup docs.

@abdf2010

Hello there, I reviewed your project Exness Trade History Data Extraction - phase 2 and understood the requirements at a high level. I focus on delivering clear, stable, and maintainable solutions aligned with the actual scope, I can work with Python, Data Processing, Web Scraping and follow a clean development process with proper structure and error handling. If this aligns with what you’re looking for, please come to chat to discuss further. Best regards

@techsty2014

Dear Client, I am excited about your project "Exness Trade History Data Extraction - phase 2" and confident I can deliver excellent results. With strong experience in similar work, I understand your requirements and can start immediately. I would love to discuss your project further and answer any questions. Thanks and best regards, Faizan

@dragomira2

Hello Harnnull, Thank you for outlining your requirements so clearly. I understand your need for a robust, reliable solution to extract your full trade history from Exness, ensuring data completeness and easy refresh without manual logins. With extensive experience in Python, data extraction, and automating financial data workflows—including similar projects involving brokerage platforms—I am confident I can deliver a tool that meets your criteria. My proposed approach is to leverage the Exness API (if available for your account type) for secure, direct data retrieval. This ensures accuracy, avoids web interface limitations, and reduces the risk of account security issues. If API access is not possible, I can implement an automated browser workflow using Python and Selenium, carefully mimicking human behavior to avoid triggering security locks. All sensitive information (credentials, tokens) will be securely handled via configuration files or environment variables, with clear guidance for updating them. The final solution will output your full trade history—including all fields you specified—in clean CSV or JSON files, matching exactly what you see on the Exness portal. I’ll provide straightforward setup instructions for both Windows and Linux, and include options to easily adjust credentials, date ranges, and output formats. As proof of concept, I will share a sample extract from your account once access is arranged. Please let me know your preferred method and what access details are needed to proceed. I am ready to get started and ensure you have a repeatable, accurate data pipeline for your trading analysis.

@thomasb726

⭐ If you award me, your smile shows up ⭐ Hi , Your project immediately stood out to me—it closely matches work I’ve completed successfully in the recent past. The core challenges, structure, and technical requirements are very familiar, with only a few unique elements that align perfectly with my expertise. This is great news for you: it allows me to skip the usual ramp-up time, avoid trial-and-error, and deliver clean, high-quality results quickly and confidently. I bring hands-on experience with Data Extraction, API, Data Processing, Web Scraping, Python and Data Analysis, along with proven workflows and best practices refined through multiple similar projects. You can view a directly relevant example in my portfolio here: https://www.freelancer.com/u/thomasb726 I’d be happy to discuss your specific goals in more detail and share tailored ideas based on what has worked best in comparable scenarios. Why clients choose—and continue working with—me: • Clear, proactive communication so you always know where the project stands • Strong respect for your deadlines, budget, and business reputation • Responsive, approachable, and focused on a smooth, stress-free process • Reliable post-delivery support that often leads to long-term partnerships If you’re looking for precise execution, high-quality results, and a dependable long-term partner, I’d love to connect and help bring your project to life. Best regards, Tom

@ianb65

Hello, there! I can deliver a reliable and repeatable way to export complete trade-history data from Exness with accuracy as the top priority and without risky portal scraping. The safest and most stable method is to use your Exness MT4/MT5 trading account via the official MetaTrader API, which is designed specifically for programmatic access to historical trades and does not require manual logins once configured. This approach avoids account locks, mirrors the broker’s own records, and supports on-demand refreshes. I’ll provide a lightweight Python script that runs on Windows (and on Linux via a Windows VM if needed) and exports full trade history to CSV and JSON, including all available fields such as ticket, symbol, open and close times, side, volume, price, profit, commission, swap, and comments. The script will be easy to re-run, configurable for different date ranges, and documented so you can update credentials or scheduling without guesswork. I’ll also include clear instructions for running it manually or scheduling automated refreshes, plus a sample export file proving that records match what you see in the Exness portal with no missing or truncated data. To get started, I’ll need your Exness MT4 or MT5 login credentials, the server name, confirmation of whether the account is real or demo, and your preferred date range for the initial export. Best regards, Ian Brown

@Penmate

With meticulous precision and a solid background in data management, I'm confident I can you're your goals for this project. My skills in Data Analysis, Extraction, Processing and Web Scraping align perfectly with the task of pulling and delivering complete trade-history data from Exness brokerage platform. I understand your need for absolute accuracy and repeatability—I'm familiar with a variety of technical approaches including Python + Selenium, Node.js, API calls, etc. We will ensure that we respect Exness security rules to avoiding any account locks. My decade-long experience in Graphic Design and Writing has taught me the importance of delivering clear instructions and error-free output. This is exactly what I aim to do with your project by making sure there are no missing rows or truncated fields while formatting the extracted data into a CSV or JSON format. Lastly, your project's acceptance criteria aligns well with my ability to produce bespoke solutions that run seamlessly on both Windows and Linux machines, with minimal dependencies. I have a methodical approach to my work and believe in providing all-round assistance – not just completing the job but also ensuring that you are equipped to update credentials for future runs. Look no further: I'm ready to get started on this project!

@krisk63

Hi there, I'm Kristopher Kramer from McKinney, Texas. I’ve worked on similar projects before, and as a senior full-stack and AI engineer, I have the proven experience needed to deliver this successfully, so I have strong experience in Python, API, Data Processing, Web Scraping, Data Analysis and Data Extraction. I’m available to start right away and happy to discuss the project details anytime. Looking forward to speaking with you soon. Best regards, Kristopher Kramer

@MSaadJaved

Hi Harnnull K., I am very interested in building a repeatable exporter for full Exness trade history and delivering clean CSV or JSON files with all fields you listed. I have several years’ experience with broker APIs, Python scripting and safe web automation, and I have built similar export tools for trading platforms. I plan to use the Exness API if available; otherwise I will implement secure Python web automation with careful session handling to avoid locks. The tool will run on Windows or Linux with minimal dependencies, include clear install notes, instructions to update credentials and change date ranges, and a sample file showing a small batch of records. Please tell me whether you can share API keys or a test account and your preferred output format. Best regards, Saad J.

@volodymyrkoval

Hi there, I understand your need for a robust solution to extract complete trade history data from the Exness platform efficiently and reliably. With over 10 years of experience in API services and data extraction, I can implement a seamless process that ensures accuracy and allows for repeatable data retrieval without manual logins. I propose using Python with Selenium to automate the data extraction while adhering to Exness's security protocols. This approach will not only pull the required fields such as ticket, symbol, open/close times, and more, but also provide a clean output in CSV or JSON format. I'll deliver clear installation instructions and ensure the solution runs with minimal dependencies on both Windows and Linux. Additionally, I will provide a sample file to validate the extraction process. Could you please let me know if there are any specific access details you might need? Best regards, Volodymyr

@Vsion2

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@waqaswebmaster

I can deliver a repeatable, accurate Exness trade-history extractor that outputs a clean CSV/JSON with full fields (ticket, symbol, open/close times, side, volume, prices, profit, commission, swap, comment, etc.) and can be refreshed on demand. Best approach (to avoid locks + stay reliable): pull history directly from MetaTrader (MT5/MT4) via a local terminal + script, rather than brittle portal scraping. This gives you complete, untruncated records and consistent results across date ranges. What you’ll get: A script/tool (Python or Node—your choice) that runs on Windows or Linux Config-driven date range + output format (CSV/JSON) Exact field mapping + normalization (timezones, decimals, symbol formatting) A “one command” run + optional scheduler (cron/Task Scheduler) Sample export proving a batch pull works Clear documentation for updating credentials and changing date ranges If the MT route is blocked in your setup, I can fall back to portal automation with anti-lock best practices (low frequency, session reuse, no aggressive crawling), but I’ll prioritize the MT/API-style method first for accuracy and stability. Best regards, Waqas Ahmed