Changes in a data track record of some trading broker.

@softsolution2000

I understand you need a reliable way to track changes in a trading broker's data feed, focusing on execution-related fields. I will create a script in Python to connect to the selected broker's API, take snapshots, and compare records to generate an easy-to-read change log. I will provide clear documentation for installation and interpretation. Clean code, clear comments, and a concise report of findings will be delivered. If the budget needs adjustment, we can discuss after a full project scope review. My priority is to work efficiently within your budget. Please review my profile for 15 years of experience. Let's discuss the details and get started on the project. Looking forward to your response.

@extreamcode

Hello, I’ve designed a robust, flexible data-audit solution tailored to capture every change in a broker data feed, with an architecture that plugs into Interactive Brokers, TD Ameritrade, or E*TRADE via public APIs or downloadable reports. The core of the workflow is a repeatable, cross-language script (Python recommended) that can connect to the selected broker, pull regular snapshots or historical records, and compare them to generate a clear, human-friendly audit trail of changes in timestamps, prices, volumes, and any additional columns you add later. What you’ll get: - A modular data-capture layer with adapter templates for each broker API or report format - A delta-based change log that highlights added, removed, or modified rows and fields, with timestamps and provenance - Optional data validation, error handling, and retry strategies to ensure reliability - Lightweight, well-commented codebase with install docs, a simple scheduler setup (cron or Windows Task Scheduler), and a concise results report - Clear, extendable documentation for adding new fields and new data sources I’ve shared an initial estimate based on your description, and once we go over a few technical or functional details, I’ll confirm the exact cost and delivery schedule. What is your preferred primary broker among Interactive Brokers, TD Ameritrade, and E*TRADE for an initial proof-of-concept, and do you have a preferred scheduling cadence (e.g., every 5 minutes, hourly, or daily) for the change-l

@Milvetti

Hi, we can help you with your broker-agnostic data feed change-audit tool (Python). We offer lifetime bug fix guarantee. As Milvetti, we help traders automate their strategies. Price is an estimate and may vary by scope.

@kamran2012

Hi, I will build a Python script that connects to your chosen broker's API — Interactive Brokers, TD Ameritrade, or E*TRADE — takes periodic snapshots of execution data, and generates a structured change log highlighting every alteration in timestamps, prices, and volumes. I will design the schema so adding new columns later requires only a config update — no code changes. Each snapshot gets hashed, so tampered or missing records surface immediately in the audit trail. Questions: 1) Do you need real-time streaming diffs or are scheduled interval snapshots (e.g., every 5 minutes) sufficient? 2) Where should the change log live — local SQLite, CSV files, or a hosted database? Looking forward to talking through the details. Kamran

@Muhammadzeesha59

Hello Sir/Mam I'm a developer of MT4 and MT5 platforms with 10 years of experience , I can also code trading platform , Pine scripts , Ninja Trader , Quant Trading System, Trading View, Forex , Cryptocurrencies , Koucoin , Binance.I'm very interested in this project, and I would like to implement it. Please contact me for further discussion. Note: time and price are negotiable! Best regards

@Herculesz

Hi I can build a broker-agnostic audit pipeline in Python that connects to API or export sources, stores regular snapshots, and produces a clear diff log for every field change. The main technical challenge is that the broker is not fixed yet, so the solution must avoid hard-coding one provider and instead use a connector-based design with a normalized schema and immutable audit records. I can solve that by creating separate adapters for the selected source, then routing all records through one comparison layer that tracks timestamps, prices, volumes, and any future columns you decide to monitor. Interactive Brokers supports API-based market and account access, and E*TRADE provides a REST API; if TD Ameritrade is chosen, I would first confirm the current Schwab-side developer path before wiring the connector. I would also include snapshot scheduling, field-level change detection, readable audit outputs, and brief documentation so you can install, run, and interpret the results without extra support. My background with Python data pipelines, API integrations, PostgreSQL/CSV-based audit storage, and repeatable reporting workflows fits this kind of compliance-oriented monitoring well. The result would be clean, documented code that is easy to extend if you later add more broker fields, more exports, or stricter reconciliation rules. Thanks, Hercules

@mohjib092

hi there, Expert here, I am python hub , i have read the project description final source code will be deliver with documentation after final testing , Thank you

@juanjosec63

Hi, I have strong experience in Python, API integration, data analysis, and audit-focused data pipelines for financial and trading workflows, with clean logging, snapshot comparison, and scheduled automation. I can build a flexible monitoring script that connects to the selected broker, captures regular snapshots of execution data like timestamps, prices, volumes, and any future fields you need, then compares changes automatically and produces a clear audit trail that is easy to review and maintain. You can expect clear communication, fast turnaround, and a high-quality result that fits seamlessly into your existing workflow. Best regards, Juan

@AlexDeveloper911

Hey, I am ready when you are.✅ I’ve worked on something very similar. Capturing and tracking data changes in trading brokers can be tricky. What really matters here is ensuring a dependable way to capture alterations and maintain a clear audit trail. I recently worked on a project where I developed a script in Python to connect to a financial data provider's API, take regular snapshots, and compare them to identify changes effectively. While I haven't worked with Interactive Brokers, TD Ameritrade, or E*TRADE specifically, I have experience handling similar data feeds and executing similar tasks. I would approach this project by leveraging my expertise in API integration, data comparison, and script automation to create a flexible and efficient solution. Let's chat! -Oleksandr

@manojmalviya93

Hi, I noticed your project 'Changes in a data track record of some trading broker.' and I believe I can provide the dependable solution you're looking for. As an experienced Python developer with expertise in automation and API integration, I can create a system to reliably capture and record every change that occurs in your trading broker's data feed. I've successfully tackled similar challenges before and am confident in delivering clean, well-tested code. If you have any questions or areas you'd like to discuss before making a decision, please do not hesitate to ask. Looking forward to potentially collaborating with you.

@letswork92

I understand that you need a reliable solution to monitor and document changes in a trading broker's data feed, ensuring an accurate audit trail. This is crucial for maintaining transparency and accountability in trading activities. With over 12 years of experience in full-stack development and automation, I can design a flexible script that seamlessly integrates with the APIs of Interactive Brokers, TD Ameritrade, or E*TRADE. Utilizing Python for its versatility in data manipulation, the solution will regularly capture snapshots of execution-related fields like timestamps, quoted prices, and volumes. I’ll incorporate libraries such as Pandas for data comparison and logging changes clearly. The final deliverable will include clean code with detailed comments, making it easy for you to install dependencies and schedule jobs without additional support. As I tailor this script to your specific needs, could you clarify if there are any additional data fields beyond the execution-related ones that you think might be beneficial to track?

@billybryan98

Hello there, I read your need for a dependable, flexible data-trail capture from broker data feeds. I build repeatable, scheduler-friendly scripts (Python recommended) that connect to a chosen broker API or export, take regular snapshots, and diff them to generate an easy audit log. The solution is modular to support Interactive Brokers, TD Ameritrade, or E*TRADE, with hooks to add any future columns. I’ll provide clean code with comments and a short doc for dependencies, scheduling, and interpreting results. Next steps: I can start with a small proof-of-concept connecting to your preferred broker and show a diff log within 2-3 days. Best regards, Billy Bryan

@DngPhgNam

⭐⭐⭐⭐⭐ ✅Hi there, hope you are doing well! I recently developed a similar solution that captures real-time changes from a financial data feed, enabling seamless tracking and comparison of execution-related data with clear audit trails. The most crucial aspect for success is designing a flexible, modular script that adapts easily to various broker APIs while maintaining reliable data integrity. Approach: ⭕ Connect the script to your chosen broker's API or data export. ⭕ Implement scheduled snapshots and historical data pulls. ⭕ Compare snapshots to generate an easy-to-read change log. ⭕ Write clean, well-commented Python code with clear installation and usage documentation. ⭕ Ensure extensibility for monitoring additional data fields as needed. ❓ Could you please confirm which broker you will prioritize first or if they will be rotated? I am confident my expertise in trading APIs, data analysis, and scripting will deliver a dependable, maintainable solution that meets your specifications perfectly. Looking forward to collaborating with you. Best regards, Nam

@Georgeoustar

Hi, I can build a flexible audit trail system that captures changes in your broker data feed, stores timestamped snapshots, and produces a clear change log for execution fields like time, price, volume, and any additional columns you decide to monitor later. I have worked on Python based data pipelines, API integrations, scheduled jobs, and comparison workflows where the goal was reliable traceability, clean logs, and maintainable reporting. For broker coverage, I would structure this as a broker adapter layer so the same core audit engine can work with Interactive Brokers, ETRADE, or Charles Schwab’s developer APIs, with snapshot pulls, field normalization, and diff reporting separated cleanly. Interactive Brokers currently supports both TWS and Web API access, ETRADE still provides its developer platform, and TD Ameritrade has effectively been replaced by Schwab’s developer portal, so I would design the solution around whichever live integration you choose without locking you into one broker. Best regards, George

@loxtic

Hi, how are you doing? I have solid hands-on work with data feeds, audit trails, and repeatable pull-and-compare scripts in Python and R, plus experience adapting to multiple broker APIs and export formats. I’ve built structured change logs, scheduled jobs, and lightweight docs so you can install, run, and interpret results with minimal guidance. I can deliver a modular solution that sockets into any chosen broker (IB, TD Ameritrade, or E*TRADE), snapshots data regularly, and surfaces diffs clearly with an easy-to-read report. If you’d like, I can demo a prior project and tailor the workflow to your specific fields and future extensions. Let me know more details to align scope and timeline.

@CauaAlves

Hello! I'm a Python developer specialized in building reliable data tracking and audit trail systems for trading and financial data feeds. Understanding your needs: You need a flexible, automated script that connects to a trading broker API (Interactive Brokers, TD Ameritrade, or E*TRADE) or uses their data exports, takes periodic snapshots of execution data (timestamps, prices, volumes, etc.), compares them, and generates a clear change log / audit trail. My plan: Develop a clean Python script using pandas for efficient data comparison and diff detection. Implement flexible connection methods (broker API or CSV import) so it works with any chosen broker. Create scheduled snapshots (via cron or Windows Task Scheduler) with timestamped storage. Generate readable change logs highlighting what changed between snapshots. Support easy extension for additional columns/fields. Include proper error handling, logging, and configuration file. Deliverables: Fully commented, clean Python script Setup and scheduling instructions Sample change log output Brief documentation The solution will be lightweight, maintainable, and ready to run on your machine or VPS. Please let me know which broker you prefer (or if you want to start with CSV exports) so I can tailor the script from the beginning. Looking forward to delivering a solid audit trail system for you. Ready when you are.

@photop2

✅✅ It's My Best Pleasure to SUPPORT You ✅✅ € Cost: €180, ⏱ Duration: 4 days I can build a flexible audit-tracking system that monitors broker data feeds, captures every change, and logs it in a clear, structured way—ready to plug into Interactive Brokers, TD Ameritrade, or E*TRADE. My approach: • Design a broker-agnostic architecture (API or CSV/export compatible) • Capture periodic snapshots of trading data (executions, quotes, volumes, etc.) • Compare snapshots and generate a clean, human-readable change log • Keep everything modular so you can switch brokers easily Core functionality: • API connector layer (pluggable per broker) • Snapshot storage (CSV or lightweight database like SQLite) • Diff engine to detect changes across any selected fields • Output logs showing: – What changed – Previous vs new values – Timestamp of detection Notes (my own comments): • Designed to adapt easily once you finalize the broker • Focus on transparency and auditability (no black-box logic) • Lightweight and reliable—can run continuously without issues • Easy to extend for more fields or analytics later If you already have a preferred broker or sample data, I can tailor the first version immediately. Pier M

@ELGAMLDev

Hi, I went through the brief a couple of times and I think I have a clear picture of what you actually need: not just a script that pulls broker data, but one you can trust to catch every change, explain it plainly, and keep working no matter which broker you end up with. My plan is a small Python package built around a broker adapter layer — the only thing that changes between IBKR, Schwab (TDA's replacement since 2024), or E*TRADE is a single config line. Everything else, the snapshot engine, the diff logic, the audit logو stays the same regardless. For the change log itself, every row will show the detection timestamp, the field that changed, the old value, and the new value. No abbreviations, no guesswork. Adding a new column to monitor later is a one-line edit in the config file, no code changes needed. Deliverables would be: the Python package with all three broker adapters, a YAML config, cron/Task Scheduler wrappers, and a README that walks you through install, scheduling, and reading the output without needing to dig into the code. One thing worth flagging: if TD Ameritrade is still on the table, the original API was shut down permanently — the current replacement is the Schwab Trader API, which I'd cover. Quick question before I start: should the script poll continuously during market hours, or run on a fixed schedule like every 5 minutes? Either is fine, but it affects the structure of the main loop. Thanks for your timeو happy to answer anything.

@Lazarone1

Hi, that’s great to hear! Your project closely aligns with one I recently worked. In that project, I built a cross‑broker data auditing system using Python, R, and modular API connectors with scheduled snapshotting, diff‑comparison logic, and structured audit logging. Your need to track execution-related fields such as timestamps, prices, and volumes across brokers like Interactive Brokers, TD Ameritrade, or E*TRADE fits perfectly with the flexible architecture I’ve delivered before. I can develop a repeatable script that captures snapshots, compares changes, and produces clear, human‑readable logs supported by clean documentation so you can deploy and schedule it easily. I’d be glad to connect and share my experience in more detail over chat. Thank you. Best regards, Lazar