> ## Documentation Index
> Fetch the complete documentation index at: https://docs.quantspace.limex.pro/llms.txt
> Use this file to discover all available pages before exploring further.
# Parallax ExtremeHurst Server
> ExtremeHurst signal generation from OHLCV data.
## Overview
The Parallax ExtremeHurst Server generates ExtremeHurst signals from OHLCV data. It can run directly on prepared bars or pull data through the Dataloader Server before running the local signal engine.
## Connection
Add this server to your MCP client configuration.
```json theme={null}
{
"mcpServers": {
"parallax-extreme-hurst": {
"url": "coming soon"
}
}
}
```
```json theme={null}
{
"mcpServers": {
"parallax-extreme-hurst": {
"url": "coming soon",
"headers": {
"Authorization": "Bearer ${env:PARALLAX_EXTREME_HURST_MCP_TOKEN}"
}
}
}
}
```
Restart the client after changing MCP configuration. The server tools appear automatically after the connection is established.
## Transport
| Property | Value |
| ---------------- | ----------------------------------------------------------------- |
| Protocol | MCP over Streamable HTTP |
| MCP URL | `coming soon` |
| Health URL | `https://parallax-hurst-signals-production.up.railway.app/health` |
| MCP path | `/mcp/parallax-extreme-hurst-mcp-server` |
| Request envelope | `{"request": {...}}` |
| Auth | Optional bearer token when enabled for the endpoint |
## Best-Fit Workflows
* Generate ExtremeHurst signals from ticker/date-range input.
* Analyze a shared-workspace Parallax TXT file.
* Run the signal engine on prepared bar arrays.
* Inspect or download large signal payloads with shared result/artifact tools.
## Recommended Tools
* pull\_and\_generate\_signals
* generate\_signals\_from\_workspace\_file
* generate\_signals
* deployment\_info
* runtime\_health
* ping
## Tools
| Tool | Description | Returns |
| -------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- |
| `ping` | Health check endpoint that returns the server's current UTC time. Params: none Returns: Any | `Any` |
| `generate_signals` | POST /api/v1/Signals/generate - Run the ExtremeHurst engine to produce trading signals from OHLCV data. Returns signal metadata, processing stats, and CRC validation. Params: payload: Any - JSON request body containing OHLCV bars and config; example: \{"security": "AAPL", "interval": "DAILY", "bars": \[...]} Returns: Any | `Any` |
| `generate_signals_from_workspace_file` | Read a Parallax TXT OHLCV file from the scoped workspace and generate signals using the local ExtremeHurst backend. Use this for workspace-relative files created via fs\_write\_file or already present in shared storage. Params: path, security?, quality?, preferences?, last\_signal\_only?, history\_bars?. | `dict[str, Any]` |
| `pull_and_generate_signals` | Call dataloader-mcp-server fetch-ohlcvs directly, convert the returned rows into OHLCV arrays, and generate Parallax signals locally. This returns signals and provenance, not a raw-data export file. If the user wants a local CSV/Parquet download, use dataloader-mcp-server save-dataframe instead of manually writing rows. Params: ticker, start\_date, end\_date, source?, quality?, preferences?, last\_signal\_only?, history\_bars?, refresh?. `refresh` is retained for compatibility and is not currently forwarded to the dataloader. | `dict[str, Any]` |
| `load_bars_from_txt` | Parses a server-local .txt OHLCV data file into separate arrays of timestamps, opens, highs, lows, closes, and volumes. This reads filesystem paths visible to the Parallax server process, not workspace-relative files created via fs\_write\_file. Params: path: file path to the .txt data file (e.g., 'data/samples/sample.txt') Returns: Any | `Any` |
| `print_signal` | Prints a formatted SignalSummary object showing trading signal details including name, direction, rank, edge, price, and timing information. Params: i (int): Signal index; sig (SignalSummary): Signal data object with title, type, rank, edge, price, dates, and other fields Returns: Any | `Any` |
| `run_sample` | Loads a server-local sample OHLCV file, calls the Parallax API, prints trading signals and metadata, and also returns a structured summary object with ok, ticker, date range, CRC, processing time, and signals. This expects a filesystem path visible to the Parallax server process and is mainly for bundled samples or debugging, not workspace-relative files. Params: filepath (str): path to sample OHLCV text file, e.g., 'data/samples/sample\_spy\_daily.txt' Returns: Any | `Any` |
| `build_request` | Builds an EhSignalRequest payload for daily bars to query ExtremeHurst signals. Params: Inputs: ticker (security symbol), timestamps, opens, highs, lows, closes, volumes (OHLCV arrays) Returns: Any | `Any` |
## Examples
### Run the end-to-end workflow
```json theme={null}
{
"request": {
"ticker": "MSFT",
"start_date": "2025-01-01",
"end_date": "2025-12-31",
"source": "yahoo",
"refresh": true,
"last_signal_only": true,
"history_bars": 252
}
}
```
### Analyze an existing workspace file
```json theme={null}
{
"request": {
"path": "parallax/daily/MSFT/MSFT_2025-01-01_2025-12-31.txt",
"last_signal_only": true,
"history_bars": 252
}
}
```
## Notes
* The composite workflow uses Dataloader for OHLCV retrieval, then runs the signal engine locally.
* If protected endpoints are enabled, configure bearer auth in the client or gateway that calls this server.
Configure this endpoint in Cursor, Claude Desktop, or a generic MCP client.
Use health, result, artifact, environment, and table helper tools.
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