Advanced Stock Prediction Analysis with Amazon Chronos
by baokhuongco.huggingface.baokhuong/boltchronosboost
stock prediction with Amazon/Chronos
- Remote endpoint
- 8 tools
- MIT
Uptime
Checked · every day
98.81%from 4 days of checks
Up without downtime on 2 of 4 days with data; down 60 minutes in all, the longest 30 minutes on 31 October.
- No downtime
- Degraded
- Down over 5 minutes
- No data
- Not checked yet
Response time
Median 997 ms, slowest 5% 1164 ms for the handshake and the tool list, over 30 days.
How far each check got
- Reached the address 87.5%
- Completed the handshake 25.0%
- Listed its tools 25.0%
8 tools at the last answer.
Every day
| Day | Result | Checks | Median |
|---|---|---|---|
| 3 Nov (today) | No downtime | 1 | 1016 ms |
| 2 Nov | Down 30 minutes | 7of 1 | 1144 ms |
| 1 Nov | No downtime | 1of 1 | 1008 ms |
| 31 Oct | Down 30 minutes | 7 | 992 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
Paste into Settings › Connectors › Add custom connector:
https://baokhuong-boltchronosboost.hf.space/gradio_api/mcp/sse Run in a terminal:
claude mcp add --transport sse boltchronosboost https://baokhuong-boltchronosboost.hf.space/gradio_api/mcp/sse Add to ~/.cursor/mcp.json:
Add to ~/.config/devin/mcp_config.json:
Add to mcp.json (Program › Install › Edit mcp.json):
Add to ~/.gemini/settings.json:
Add to config.json in oterm's data folder (~/Library/Application Support/oterm on macOS, ~/.local/share/oterm on Linux, %APPDATA%\oterm on Windows):
Add to ~/.config/eca/config.json (global) or .eca/config.json in the project:
{
"mcpServers": {
"boltchronosboost": {
"url": "https://baokhuong-boltchronosboost.hf.space/gradio_api/mcp/sse"
}
}
} Add to .vscode/mcp.json:
{
"servers": {
"boltchronosboost": {
"type": "sse",
"url": "https://baokhuong-boltchronosboost.hf.space/gradio_api/mcp/sse"
}
}
} Add to ~/.config/zed/settings.json:
{
"context_servers": {
"boltchronosboost": {
"url": "https://baokhuong-boltchronosboost.hf.space/gradio_api/mcp/sse"
}
}
} This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.
Add to cline_mcp_settings.json (MCP Servers › Configure › Configure MCP Servers):
Add to anythingllm_mcp_servers.json in the AnythingLLM storage plugins directory:
Add to Augment Settings Panel – MCP section – Import from JSON (VS Code extension):
{
"mcpServers": {
"boltchronosboost": {
"type": "sse",
"url": "https://baokhuong-boltchronosboost.hf.space/gradio_api/mcp/sse"
}
}
} Add to ~/.continue/config.yaml:
mcpServers:
- name: "boltchronosboost"
type: sse
url: "https://baokhuong-boltchronosboost.hf.space/gradio_api/mcp/sse" Add to ~/.config/goose/config.yaml:
extensions:
"boltchronosboost":
type: streamable_http
name: "boltchronosboost"
enabled: true
uri: "https://baokhuong-boltchronosboost.hf.space/gradio_api/mcp/sse"
headers: {}
env_keys: []
envs: {}
timeout: 300 This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.
Run in a terminal:
codex mcp add boltchronosboost --url https://baokhuong-boltchronosboost.hf.space/gradio_api/mcp/sse This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.
Add to ~/.llm/config.json:
Add to resources/assets/config/mcp.json in the installed app:
Add to ~/.boltai/mcp.json:
Add to ~/.bob/settings/mcp.json (global) or .bob/mcp.json (project):
Add to ~/.kiro/settings/mcp.json (user) or .kiro/settings/mcp.json (workspace):
Add to ~/.kiro/settings/mcp.json (user) or .kiro/settings/mcp.json (workspace):
{
"mcpServers": {
"boltchronosboost": {
"url": "https://baokhuong-boltchronosboost.hf.space/gradio_api/mcp/sse"
}
}
} This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.
Add to ~/.config/agenvoy/mcp.json:
{
"servers": {
"boltchronosboost": {
"url": "https://baokhuong-boltchronosboost.hf.space/gradio_api/mcp/sse"
}
}
} This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.
Add to ~/.config/amp/settings.json (user) or .amp/settings.json (workspace):
{
"amp.mcpServers": {
"boltchronosboost": {
"url": "https://baokhuong-boltchronosboost.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.baokhuong/boltchronosboost`)
Its page: https://plug.directory/servers/co.huggingface.baokhuong/boltchronosboost
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://baokhuong-boltchronosboost.hf.space/gradio_api/mcp/sse
```
## Claude Code
Run in a terminal:
```sh
claude mcp add --transport sse boltchronosboost https://baokhuong-boltchronosboost.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": {
"boltchronosboost": {
"url": "https://baokhuong-boltchronosboost.hf.space/gradio_api/mcp/sse"
}
}
}
```
## VS Code
Merge into .vscode/mcp.json:
```json
{
"servers": {
"boltchronosboost": {
"type": "sse",
"url": "https://baokhuong-boltchronosboost.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": {
"boltchronosboost": {
"type": "sse",
"url": "https://baokhuong-boltchronosboost.hf.space/gradio_api/mcp/sse"
}
}
}
```
## Continue
Merge into ~/.continue/config.yaml:
```yaml
mcpServers:
- name: "boltchronosboost"
type: sse
url: "https://baokhuong-boltchronosboost.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": {
"boltchronosboost": {
"url": "https://baokhuong-boltchronosboost.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 8
BoltChronosBOOST_check_market_status_simpleSimple function to check market status for a specific market. Returns: str: Formatted market status informationBoltChronosBOOST_daily_analysisProcess 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: Tuple[Dict, go.Figure, Dict, Dict, Dict, Dict, Dict, Dict, Dict, Dict, Dict]: Analysis results containing:, [0] Dict: Trading Signals - Output value for the "Trading Signals" Json component, Contains RSI, MACD, Bollinger Bands, SMA, and overall trading signals, [1] go.Figure: Analysis and Prediction - Output value for the "Analysis and Prediction" Plot component, Interactive plot with historical data, predictions, and confidence intervals, [2] Dict: Product Metrics - Output value for the "Product Metrics" Json component, Structured product metrics including Market Cap, P/E ratios, and financial ratios, [3] Dict: RiskBoltChronosBOOST_hourly_analysisProcess 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: Tuple[Dict, go.Figure, Dict, Dict, Dict, Dict, Dict, Dict, Dict, Dict, Dict]: Analysis results containing:, [0] Dict: Trading Signals - Output value for the "Trading Signals" Json component, Basic trading signals optimized for hourly timeframes, [1] go.Figure: Analysis and Prediction - Output value for the "Analysis and Prediction" Plot component, Interactive plot with hourly data, predictions, and intraday patterns, [2] Dict: Product Metrics - Output value for the "Product Metrics" Json component, Product metrics including intraday volatility and volume analysis, [3] Dict: Risk Metrics - Output value for the "Risk Metrics" Json component,BoltChronosBOOST_min15_analysisProcess 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: Tuple[Dict, go.Figure, Dict, Dict, Dict, Dict, Dict, Dict, Dict, Dict, Dict]: Analysis results containing:, [0] Dict: Trading Signals - Output value for the "Trading Signals" Json component, Basic trading signals optimized for 15-minute timeframes, [1] go.Figure: Analysis and Prediction - Output value for the "Analysis and Prediction" Plot component, Interactive plot with 15-minute data, predictions, and micro-patterns, [2] Dict: Product Metrics - Output value for the "Product Metrics" Json component, Product metrics including high-frequency volatility and volume analysis, [3] Dict: Risk Metrics - Output value forBoltChronosBOOST_update_market_summaryUpdate market summary with enhanced yfinance dataBoltChronosBOOST_update_system_monitorBoltChronosBOOST_update_system_monitor_1BoltChronosBOOST_update_system_monitor_2
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