- DATA
- LOGIC
- SUMMARY
- HUMAN
Short answer
How can I use AI to analyze historical price action?
Your agent uses the Polygon.io MCP to fetch historical OHLCV aggregates for any ticker. It then processes these bars to check for specific price movements or technical setups. You get a clear breakdown of the data and the patterns found.
The results you get
Where your analysis lands
The AI handles the data retrieval so you can focus on the strategy.
DATA
Raw price bars
The AI pulls precise OHLCV data via Polygon.io. You get the exact open, high, low, close, and volume values for your chosen timeframe.
LOGIC
Pattern validation
Your agent compares the retrieved bars against your specific technical rules. It identifies if a historical price movement matches your criteria.
SUMMARY
Trend reports
The AI summarizes the price action into a readable format. You get a concise overview of volatility and trend direction.
HUMAN
Final trade decisions
The AI provides the data and the math. You make the final call on whether to act on the findings.
The workflow
What your AI does when the data request arrives.
The AI acts as the bridge between your prompt and the Polygon.io API.
Fetch aggregates
The AI identifies the ticker and timeframe you need, then calls the API to get the raw price bars.
get_aggregatesParse OHLCV data
It organizes the returned open, high, low, close, and volume data into a usable structure.
get_aggregatesValidate movements
The agent scans the price series to see if specific historical movements meet your requirements.
get_aggregatesDeliver findings
The AI presents the results of the price action check in a clear, text-based summary.
get_aggregates
Try it
Copy these to start.
Use these prompts to begin your backtesting.
Starting points
Replace the ticker symbols and timeframes with the ones you are currently researching.
Polygon.io Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_8YdMcCERRHhCdZDn0EolzUq7yE1Irfyp84qVvYs9/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Polygon.io capabilities are ready to use.
{
"mcpServers": {
"polygonio-mcp": {
"url": "https://edge.vinkius.com/vk_preview_8YdMcCERRHhCdZDn0EolzUq7yE1Irfyp84qVvYs9/mcp"
}
}
}Get the daily OHLCV bars for NVDA for the last 3 months and check for bullish engulfing patterns.
Pull 1-hour aggregates for BTC/USD from last week and tell me the highest volatility period.
Fetch the last 30 days of daily bars for TSLA and check if it's trading above its 50-day moving average.
Analyze the price action for AAPL using 5-minute bars from yesterday to find support levels.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Polygon.io once, then ask.
Enter your API credentials once. Vinkius keeps them secure, and your AI client gets instant access to the market data.
Connect Polygon.io to your AIFAQ
How this task behaves
- 01
Can the AI place trades for me?
No. The AI can only read historical and real-time data. It cannot execute trades or interact with your brokerage account.
- 02
Does the AI store my API keys?
No. Vinkius manages your credentials securely. Your AI client uses them to make requests, but they aren't stored in your chat history.
- 03
Can the AI modify my Polygon.io subscription?
No. The tools are strictly for reading market data. The AI has no ability to change your account settings or billing.
- 04
What specific data can the AI access?
The AI uses the get_aggregates tool to access open, high, low, close, and volume data for specific tickers and timeframes.
- 05
Can the AI create custom indicators?
The AI can calculate indicators based on the OHLCV data it retrieves, but it does not have a tool to save or export custom indicator files.
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