Advanced Stock Prediction Analysis with Amazon Chronos

by tonicco.huggingface.tonic/stock-predictions

stock prediction with Amazon/Chronos

  • Remote endpoint
  • 5 tools
  • MIT

Uptime

Checked  · every day

100%from 4 days of checks

Up without downtime on 3 of 3 days with data.

  • No downtime
  • Degraded
  • Down over 5 minutes
  • No data
  • Not checked yet

Response time

Median 1063 ms, slowest 5% 1295 ms for the handshake and the tool list, over 30 days.

1500 ms750 ms0

How far each check got

  • Reached the address 100%
  • Completed the handshake 100%
  • Listed its tools 100%

5 tools at the last answer.

Every day
DayResultChecksMedian
3 Nov (today)No verdict yet0–
2 NovNo downtime1of 11073 ms
1 NovNo downtime1of 11285 ms
31 OctNo downtime21064 ms

A failure counts as down time only when a second check five minutes later fails too. How we check

Connect to the publisher's own endpoint

Run in a terminal:

claude mcp add --transport sse stock-predictions https://tonic-stock-predictions.hf.space/gradio_api/mcp/sse
For agents: the install prompt

Every step above as one Markdown text, for an assistant installing it for you.

# Install the MCP server Advanced Stock Prediction Analysis with Amazon Chronos (`co.huggingface.tonic/stock-predictions`)

Its page: https://plug.directory/servers/co.huggingface.tonic/stock-predictions

It runs on the publisher's servers; the client connects to its URL.

Use the section for the person's client.

## Claude Desktop

Paste into Settings › Connectors › Add custom connector:

```text
https://tonic-stock-predictions.hf.space/gradio_api/mcp/sse
```

## Claude Code

Run in a terminal:

```sh
claude mcp add --transport sse stock-predictions https://tonic-stock-predictions.hf.space/gradio_api/mcp/sse
```

## Cursor, Devin Desktop, LM Studio, Gemini CLI, oterm, ECA

Merge into the place for the person's client:

- Cursor: ~/.cursor/mcp.json
- Devin Desktop: ~/.config/devin/mcp_config.json
- LM Studio: mcp.json (Program › Install › Edit mcp.json)
- Gemini CLI: ~/.gemini/settings.json
- oterm: config.json in oterm's data folder (~/Library/Application Support/oterm on macOS, ~/.local/share/oterm on Linux, %APPDATA%\oterm on Windows)
- ECA: ~/.config/eca/config.json (global) or .eca/config.json in the project

```json
{
  "mcpServers": {
    "stock-predictions": {
      "url": "https://tonic-stock-predictions.hf.space/gradio_api/mcp/sse"
    }
  }
}
```

## VS Code

Merge into .vscode/mcp.json:

```json
{
  "servers": {
    "stock-predictions": {
      "type": "sse",
      "url": "https://tonic-stock-predictions.hf.space/gradio_api/mcp/sse"
    }
  }
}
```

## Zed

This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.

## Cline, AnythingLLM, Augment Code

Merge into the place for the person's client:

- Cline: cline_mcp_settings.json (MCP Servers › Configure › Configure MCP Servers)
- AnythingLLM: anythingllm_mcp_servers.json in the AnythingLLM storage plugins directory
- Augment Code: Augment Settings Panel – MCP section – Import from JSON (VS Code extension)

```json
{
  "mcpServers": {
    "stock-predictions": {
      "type": "sse",
      "url": "https://tonic-stock-predictions.hf.space/gradio_api/mcp/sse"
    }
  }
}
```

## Continue

Merge into ~/.continue/config.yaml:

```yaml
mcpServers:
  - name: "stock-predictions"
    type: sse
    url: "https://tonic-stock-predictions.hf.space/gradio_api/mcp/sse"
```

## Goose

This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.

## Codex

This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.

## mcp-client-cli, TUUI, BoltAI, Bob Shell, Kiro, Kiro CLI

This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.

## Agenvoy

This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.

## Amp

Merge into ~/.config/amp/settings.json (user) or .amp/settings.json (workspace):

```json
{
  "amp.mcpServers": {
    "stock-predictions": {
      "url": "https://tonic-stock-predictions.hf.space/gradio_api/mcp/sse"
    }
  }
}
```

Then restart the client, or reload its MCP servers, and ask it to list the server's tools to confirm it started.

Tools 5

  • stock_predictions_check_market_status_simple Simple function to check market status for a specific market. Returns: Formatted market status information
  • stock_predictions_daily_analysis Process daily timeframe stock analysis with enhanced features. This function performs comprehensive stock analysis using daily data with support for multiple prediction strategies, ensemble methods, regime detection, stress testing, covariate data, and sentiment analysis. It's designed for medium to long-term investment analysis with up to 365 days of prediction. Returns: Analysis results containing:, Trading Signals - Output value for the "Trading Signals" Json component, Contains RSI, MACD, Bollinger Bands, SMA, and overall trading signals, Analysis and Prediction - Output value for the "Analysis and Prediction" Plot component, Interactive plot with historical data, predictions, and confidence intervals, Product Metrics - Output value for the "Product Metrics" Json component, Structured product metrics including Market Cap, P/E ratios, and financial ratios, Risk Metrics - Output value for the "Risk Metrics" Json component, Advanced risk metrics including Sharpe ratio, VaR, drawdown,
  • stock_predictions_hourly_analysis Process hourly timeframe stock analysis with enhanced features. This function performs high-frequency stock analysis using hourly data, ideal for short to medium-term trading strategies. It includes intraday volatility analysis, volume-price trends, momentum indicators, covariate data, and sentiment analysis optimized for hourly timeframes. Returns: Analysis results containing:, Trading Signals - Output value for the "Trading Signals" Json component, Basic trading signals optimized for hourly timeframes, Analysis and Prediction - Output value for the "Analysis and Prediction" Plot component, Interactive plot with hourly data, predictions, and intraday patterns, Product Metrics - Output value for the "Product Metrics" Json component, Product metrics including intraday volatility and volume analysis, Risk Metrics - Output value for the "Risk Metrics" Json component, Risk metrics adjusted for hourly data frequency, Sector Metrics - Output value for the "Sector Metrics" Json component, Sec
  • stock_predictions_min15_analysis Process 15-minute timeframe stock analysis with enhanced features. This function performs ultra-high-frequency stock analysis using 15-minute data, ideal for scalping and very short-term trading strategies. It includes micro-volatility analysis, volume-price relationships, momentum indicators, covariate data, and sentiment analysis optimized for 15-minute timeframes. Returns: Analysis results containing:, Trading Signals - Output value for the "Trading Signals" Json component, Basic trading signals optimized for 15-minute timeframes, Analysis and Prediction - Output value for the "Analysis and Prediction" Plot component, Interactive plot with 15-minute data, predictions, and micro-patterns, Product Metrics - Output value for the "Product Metrics" Json component, Product metrics including high-frequency volatility and volume analysis, Risk Metrics - Output value for the "Risk Metrics" Json component, Risk metrics adjusted for 15-minute data frequency, Sector Metrics - Output value for t
  • stock_predictions_update_market_summary Update market summary with enhanced yfinance data

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