Integration via API TradingView, ChatGPT, Python script, ElevenLabs API for creating REELS

Good day, I am ready to complete this project. I have extensive experience in developing various applications.

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Greetings! The task of creating an autonomous video content generation system is completely clear to me. I specialize in Python scripts and the integration of various APIs, so developing such a pipeline is my expertise.

Technical implementation plan:

Data collection: I will set up the retrieval of charts and current quotes through the TradingView API (or data export via Pine Script).

Content generation: I will integrate the ChatGPT API for script writing and the ElevenLabs API for high-quality, lifelike voiceovers (with correct intonations).

Automatic assembly (Rendering): I will write a script based on the MoviePy / FFmpeg libraries. The system will programmatically combine the background, dynamic charts, overlay the audio track, and generate subtitles. No manual editing — everything is done by code.
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Scalability: I will prepare the project in a Docker container, which will allow you to run it on a server in 24/7 mode and generate any number of videos per day.

Important point regarding generation costs:
The system will operate on your API keys (OpenAI, ElevenLabs, etc.). This will give you full control over the budget, transparency of expenses, and independence — all access remains with you. Rendering will take place on the server's resources, which is significantly cheaper than using ready-made online services.

What you will receive in the end:
A fully operational tool. You provide a text request (prompt) — and you receive a ready MP4 file with metadata (titles, hashtags), ready for publication.

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Hello!
I am interested in your Reels generation project.
I am a student developer (Python), currently actively building my rating on the freelance platform, so I am ready to complete this project for 50% of the market price — for your review and a case in my portfolio.

Why you should choose me:
I already have ready-made developments specifically for TradingView. I wrote a bot that accesses the chart, sets up indicators, and takes screenshots. Most performers will stumble on this (the official TradingView API does not provide charts, you need to emulate a browser), but I have already solved this part.

How I will implement the rest:

… Script: ChatGPT API (text generation based on a prompt).

Voiceover: ElevenLabs API (we get mp3).

Video assembly: MoviePy library or FFmpeg. The script will automatically stitch the chart, overlay the sound, and generate subtitles.

It will be a complete pipeline: you provide the topic -> and the output is a ready mp4 file.
I am ready to show examples of work with TradingView and start assembling the system.

💡 Technical advice:
For video assembly (point 4 in the task), you will need the MoviePy library. It allows you to edit with code:

ImageClip (you set the screenshot of the chart as the background).

AudioFileClip (you add the voiceover from ElevenLabs).

TextClip (you generate subtitles).
It is not as difficult as it seems, but it looks very impressive.

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Good day!
I have the technical base and practical experience necessary for creating automated systems in Python. My specialization in FastAPI and Flask allows me to design architecture that will reliably handle requests to various APIs and coordinate their operation.
My approach to solving your tasks:
Integration with TradingView: I can set up the retrieval of market data via API, using your Pine Script strategies for visualizing charts.
API orchestration: I have experience working with external services, so I can easily set up the chain: ChatGPT (script generation) → ElevenLabs (voice synthesis).
Video editing automation: For assembling MP4, I can use Python libraries (for example, MoviePy), which allow programmatically overlaying subtitles, graphics, and sound according to a template.
Working with databases: Using PostgreSQL or MongoDB will allow storing metadata (titles, hashtags) and the history of generations for convenient bulk launching.

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Hello! The task is clear: You need a stable "conveyor" system that turns dry data into viral content. Abandoning TradingView parsing in favor of direct exchange APIs (via CCXT) is the right decision. This will make the system ten times more stable and allow for video generation on an industrial scale without the risk of bans.

How I will implement this project:

1. Data & Graphics: I will use the CCXT library to obtain accurate candlestick data from any exchange (Binance, Bybit, etc.) and mplfinance for chart rendering. We can customize any style: from classic TV to your unique branding.

2. AI Engine: I will integrate the ChatGPT API for script creation and ElevenLabs for premium voiceover. I will set up emotion transmission so that the voice sounds lively.

3. Video Rendering: Assembling in MoviePy / FFmpeg. I will implement automatic overlay of dynamic subtitles (with highlighting of the current word) and synchronization of charts with the voiceover.
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4. Mass Launch: The code will support batch processing. You simply provide a list of tickers — and you receive a folder with ready MP4 files and a metadata file (titles, hashtags).

Why you should choose me:

• I understand the specifics of working with video through code (timing, layers, sound overlay).
• I write clean Python code that is easy to maintain and scale.
• I focus on stability: I will implement API error handling so that the process does not get interrupted.

I am ready to discuss the details and start working. If you need a portfolio, I will provide it in private messages. I look forward to collaborating 🌸

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Hello! I studied the task of video generation. I can build a pipeline that will turn dry market data into ready-made content without the involvement of an editor.

How it will work technically:

Data: The script pulls charts and indicators (via API or libraries like Lightweight Charts).

Content: GPT-4 generates a script based on the numbers, and ElevenLabs provides the voiceover.

Assembly: Automatic editing through Python (MoviePy/FFmpeg). The output is a vertical video with dynamic subtitles and an overlay chart.
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Auto-posting: We can immediately integrate uploading to YouTube Shorts, TikTok, or Telegram through their API.

What this provides as an output:
Instead of spending 2 hours on one video, you simply run the script (or schedule it), and in a couple of minutes, you have a ready MP4 in your folder with a description and hashtags. It can be scaled up to 20-30 videos a day on different coins/stocks.

Regarding timelines: I will assemble a basic working prototype (from data to video) in 3-5 days.

If you're interested, let me know — we can discuss the details regarding the style of the charts and the voiceover.

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Hello, Max.

I can implement a content factory and a data parser with TradingView.

Definitely in private messages, I think we will work well together.

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Hello, Maxim

The task is clear as a production pipeline for generating short videos: from a text prompt to a finished vertical mp4 with graphics, voiceover, and metadata. I work with Python automation, API integrations, and media content assembly, so it makes sense to build a robust chain here: obtaining market data and rendering graphics → generating a script through LLM → speech synthesis in ElevenLabs → assembling vertical video according to a template (subtitles, timings, sound) → batch daily launch and saving results to the cloud or local storage.

From a technical standpoint, it is better to implement this as a modular service in Python: separate layers for data, text, audio, and video rendering, with the ability to scale mass generation without manual involvement. It is important to immediately ensure the stability of the API, task queues, and retries so that the system can produce content daily without failures.

I am ready to discuss the details regarding the source of the graphics (TradingView/Pine/alternatives), the format of the video templates, and the required volume of generation — this will affect the timelines and architecture.

Regarding timelines: a basic working version of such a pipeline can usually be assembled in 5–10 days if all API accesses are available and no complex custom video design is required. If we add fault tolerance, mass generation, task queue, and a more refined visual template — a realistic timeframe is 2–3 weeks.
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Regarding the budget:
• a minimal working system (one video template, basic automation) — approximately $300–500
• a full-fledged stable tool for daily content production — in the range of $700–1200 depending on the complexity of the graphics, generation logic, and scaling.

I will be able to provide an exact figure after a couple of clarifications regarding the volume of video per day, the format of the templates, and whether a web interface is needed or if scheduling is sufficient.

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Hello! Having reviewed your project, I am ready to start working on it. Let's discuss the details for the best result.

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Good evening! I am ready to implement this project.

It fully corresponds to my stack (Python + working with neural network APIs + content generation and without unnecessary complexities (without heavy backend that needs constant maintenance).

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I can implement such a turnkey solution: from data acquisition to finished mp4.

I propose the architecture:
- Backend in Python (FastAPI)
- Obtaining quotes through TradingView / alternative API
- Generating scripts through OpenAI API
- Voiceover through ElevenLabs
- Generating charts + rendering vertical video through ffmpeg
- Automatic assembly of titles and subtitles
… - Scheduler (cron) for daily mass launches
- Saving to the cloud (S3 / Google Drive) + generating title/hashtags

I will make the system modular so that it can be scaled and new video templates can be added.

I am ready to discuss:
- Where will the deployment be (VPS / AWS / GCP)?
- How many videos per day are planned?
- Is auto-posting needed on TikTok / YouTube Shorts?

I can start with MVP, I am happy to discuss the project details.

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