- DOMINANT
- NOISE
- SIGNAL
- HUMAN
Short answer
How can I find repeating price cycles using AI?
Your AI uses the Fourier Transform Engine to convert raw price time series into frequency domains. This reveals the exact number of days or weeks that make up a repeating market cycle. You'll get a clear map of dominant periodicities.
The analysis outcomes
What you get from the analysis
Once the AI processes your data, you get these specific outputs.
DOMINANT
Primary cycle periods
The AI identifies the strongest repeating patterns. You'll see exactly how many days or weeks constitute the main market pulse.
NOISE
Filtered price data
The engine strips away random volatility. You get a cleaner view of the underlying trend and rhythm.
SIGNAL
Frequency spectrum
The AI provides a breakdown of signal strength across different frequencies. This shows which cycles are actually reliable.
HUMAN
Manual strategy check
The AI identifies the math, but you decide if these cycles are tradable. You interpret the frequency data to build your entry rules.
The workflow
What your AI does when the data arrives.
The AI handles the heavy math so you can focus on the interpretation.
Data ingestion
Your AI reads your price history from a CSV or a connected database.
calculate_fftFrequency extraction
The AI runs the math to find the hidden rhythms in the price movement.
calculate_fftPattern isolation
The engine separates the strongest periodic signals from the random market noise.
calculate_fftCycle reporting
The AI summarizes the findings into specific time intervals like 7-day or 30-day cycles.
calculate_fft
Try it
Copy these to start.
Use these prompts to kick off your analysis.
Starting points
Swap out the bracketed text with your specific file names or ticker symbols.
fft.js Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_OgVdcAJ5c4akzqqyOKLcs4VoR2ziukAMExZvS9jD/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 — fft.js capabilities are ready to use.
{
"mcpServers": {
"fourier-transform-engine-mcp": {
"url": "https://edge.vinkius.com/vk_preview_OgVdcAJ5c4akzqqyOKLcs4VoR2ziukAMExZvS9jD/mcp"
}
}
}Run a frequency analysis on my BTC_USD.csv file to find the most dominant weekly cycles.
Use the Fourier Transform Engine to identify repeating monthly patterns in this price sheet.
Analyze the frequency spectrum of the attached price data and tell me the strongest period.
Find the hidden cycles in my historical price data and filter out the high-frequency noise.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Fourier Transform Engine once, then ask.
One click connects this MCP to your AI client. Your credentials stay encrypted and the setup is handled on our end.
Connect Fourier Transform Engine to your AIFAQ
How this task behaves
- 01
Can the AI execute trades based on these cycles?
No. The AI only performs frequency analysis on your data. You must execute all trades yourself.
- 02
Does the AI change my original price data?
No. The AI reads your data to perform calculations but never modifies your source files.
- 03
Can it analyze real-time live feeds?
No. The tool works on the data you provide in the prompt, such as a CSV or a specific data range.
- 04
What kind of files can I use?
You can use any data format your AI client can read, like CSV or Excel files containing price series.
- 05
Will the AI tell me which cycle to trade?
No. The AI identifies the mathematical frequency of the cycles. It does not provide financial advice or trade signals.
More questions about Fourier Transform Engine? The Connector page answers them. See everything the Fourier Transform Engine Connector can do
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