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My gold-trading automation is already 50 % finished, but the critical “last mile” still misbehaves. All core pieces are in place—YouTube monitor, Telethon listener, and an OANDA back-tester—yet real-world runs expose two stubborn faults that appear randomly during normal usage: • the YouTube module sometimes misses or mis-parses Entry / SL / TP whenever the channel goes live • the Telethon listener posts the same Paradise-channel trade more than once Here’s exactly what I need from you: 1. Harden the YouTube Live watcher – Detect every new live session from one specific channel via Google API v3, rotating keys as limits approach – Stream descriptions and live-chat in real time, then run the text through Gemini (or another LLM if you prefer) to extract the three fields with rock-solid accuracy – Return a clean Python object so the rest of the pipeline can consume it immediately 2. Repair and de-duplicate the Telegram listener – Work inside my existing Telethon script that already monitors five channels (three of them Paradise) – Ensure each signal is published to my downstream queue once and only once, regardless of edits or reposts 3. Validate each incoming signal against OANDA – Grab the last six months of 5-minute XAUUSD candles on demand – Compute win-rate statistics for the proposed Entry / SL / TP before the trade goes live – Fail gracefully on “peer/entity” disconnects and reconnect automatically Acceptance criteria • Zero duplicate trades from any monitored Telegram source over a 24-hour soak test • 100 % capture of Entry / SL / TP from at least ten consecutive YouTube live streams run back-to-back • No unhandled exceptions after a continuous 48-hour run with forced API-limit throttling The stack is pure Python 3.11 with Telethon, google-api-python-client, openai-python (for Gemini), pandas and a lightweight FastAPI endpoint for status checks. I’ll share the private repo and current .env once we kick off. If bulletproofing scrapers, juggling API quotas, and blending LLMs with market data is your idea of fun, let’s get this bot over the finish line.
ID do Projeto: 40332108
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You’ve already built the system, so this is really about making the last mile reliable under live conditions: fixing missed YouTube signal extraction, eliminating Telegram duplicates, and making the OANDA validation layer resilient. I can harden the Python pipeline around Telethon, Google API, FastAPI, and pandas, with proper de-dup logic, reconnect handling, quota-safe live monitoring, and structured signal output the rest of your bot can trust. I’ve worked on fragile real-time automation where the difference is in edge-case handling, soak-test stability, and clean fault recovery rather than rebuilding from scratch. Ready to jump into the repo and get this over the line properly.
₹12.500 INR em 3 dias
4,6
4,6
6 freelancers estão ofertando em média ₹26.500 INR for esse trabalho

Hi Mate , Good evening! I’ve carefully checked your requirements and really interested in this job. I’m full stack node.js developer working at large-scale apps as a lead developer with U.S. and European teams. I’m offering best quality and highest performance at lowest price. I can complete your project on time and your will experience great satisfaction with me. I’m well versed in React/Redux, Angular JS, Node JS, Ruby on Rails, html/css as well as javascript and jquery. I have rich experienced in PHP, Software Architecture, API, Pandas, FastAPI, Data Analysis, Data Processing, C++ Programming, API Development and Python. For more information about me, please refer to my portfolios. I’m ready to discuss your project and start immediately. Looking forward to hearing you back and discussing all details.. Best Regards
₹27.750 INR em 4 dias
4,5
4,5

Hi, I can help you make this pipeline stable under real-world conditions (API limits, live streams, Telegram quirks). ? How I’ll Fix It 1. YouTube Live Watcher (Accuracy + Resilience) • Reliable live detection via YouTube Data API v3 + polling fallback • Key rotation with quota-aware scheduler • Stream: – Live description + chat (async ingestion) • Extraction: – Structured parsing + LLM fallback (Gemini/OpenAI) – Add validation layer (regex + sanity checks) • Output: → Clean, typed Python object (Entry/SL/TP guaranteed or flagged) 2. Telethon Deduplication (Critical Fix) • Implement idempotency layer: – Hash (message text + channel + timestamp) – Track message IDs + edits • Handle: – Reposts – Edits – Multi-channel duplicates • Guarantee: exactly-once delivery to queue 3. OANDA Validation Engine • Fetch 6 months XAUUSD M5 candles (cached + on-demand) • Backtest: – Entry hit → SL/TP outcome – Compute win-rate quickly • Add: – Timeout + retry + reconnect logic – Graceful failure handling ⚙️ Reliability Layer (Key Upgrade) • Async architecture (no blocking) • Retry + exponential backoff • Health checks via FastAPI • Logging + traceability ✅ Acceptance Alignment ✔ Zero duplicate Telegram trades (24h soak) ✔ 100% structured extraction across live streams ✔ 48h stable run (no crashes under throttling) ✅ Why Me • Experience with scrapers + real-time pipelines • Strong in idempotency + fault-tolerant systems • Practical use of LLMs for structured extraction
₹35.000 INR em 7 dias
4,6
4,6

Achieving flawless automation in high-stakes environments like gold trading demands a meticulous approach to real-time data integrity and resilient API handling. The challenges you've outlined—ensuring no missed or mis-parsed trading signals from YouTube live streams and eliminating duplicate Telegram trade posts—are classic pain points requiring both precision parsing and robust event deduplication strategies. Addressing these will unlock the final critical phase of your automation pipeline, ensuring reliable, actionable trade signals under varied real-world conditions. The solution involves enhancing the YouTube Live watcher by leveraging the Google API v3 with dynamic key rotation to circumvent quota limits, coupled with streaming live chat and descriptions for continuous LLM analysis (Gemini or equivalent) to extract Entry, SL, and TP fields with high fidelity. The Telegram listener will be fortified within your existing Telethon framework by implementing idempotency checks and stateful deduplication to guarantee exactly-once message processing. Integrating OANDA data retrieval and win-rate computation will be designed for efficient on-demand queries with robust error handling and automatic reconnection logic to maintain uninterrupted validation workflows. The full stack will utilize Python 3.11, with pandas for data analysis and FastAPI for lightweight status monitoring, ensuring seamless integration with your current architecture. Commitment to quality means delivering a hardened system that passes rigorous 24- to 48-hour soak tests with zero duplicates, perfect signal capture, and graceful API limit management. Clear communication and prompt iteration will drive the project to completion, with immediate access to your
₹33.750 INR em 7 dias
3,3
3,3

I saw your project and am confident I can deliver on this. I'm currently working on a similar project and understand the importance of ensuring accurate data extraction and seamless integration. By hardening the YouTube Live watcher to extract trade details accurately and repairing the Telegram listener to prevent duplicate signals, I will ensure a smooth flow of data through your automation system. With my expertise, I guarantee zero duplicate trades from Telegram sources, accurate capture of trade details from YouTube live streams, and seamless validation against OANDA data. Let's ensure your gold-trading automation reaches its full potential. 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
₹25.000 INR em 7 dias
0,0
0,0

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