analyze_fng_trend
Analyze Crypto Fear & Greed Index trends over a specified period to identify market sentiment patterns and direction.
Instructions
Analyze trends in Crypto Fear & Greed Index over specified days.
Parameters: days (int): Number of days to analyze (must be a positive integer).
Returns: str: A string containing the analysis results, including latest value, average value, trend direction, and number of data points analyzed.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| days | Yes |
Implementation Reference
- main.py:85-129 (handler)The main handler function for the 'analyze_fng_trend' tool. It fetches historical Fear & Greed Index data for the specified number of days, computes statistics like average value and trend direction, and returns a formatted analysis string.async def analyze_fng_trend(days: int, ctx: Context) -> str: """ Analyze trends in Crypto Fear & Greed Index over specified days. Parameters: days (int): Number of days to analyze (must be a positive integer). Returns: str: A string containing the analysis results, including latest value, average value, trend direction, and number of data points analyzed. """ if days <= 0: return "Error: Days must be a positive integer" ctx.info(f"Fetching {days} days of FNG data") try: async with httpx.AsyncClient() as client: response = await client.get(API_URL, params={"limit": days}) response.raise_for_status() data = response.json()["data"] if not data: return "Error: No data available" values = [int(entry["value"]) for entry in data] total_entries = len(values) # Calculate statistics avg = sum(values) / total_entries trend = "rising" if values[0] > values[-1] else "falling" if values[0] < values[-1] else "stable" latest = data[0] # Most recent entry result = [ f"Fear & Greed Index Analysis ({days} days):", f"Latest Value: {latest['value']} ({latest['value_classification']}) " f"at {datetime.fromtimestamp(int(latest['timestamp']))} UTC", f"Average Value: {avg:.1f}", f"Trend: {trend}", f"Data points analyzed: {total_entries}" ] return "\n".join(result) except httpx.HTTPStatusError as e: return f"Error fetching data: {str(e)}" except Exception as e: return f"Unexpected error: {str(e)}"
- main.py:85-85 (registration)The @mcp.tool() decorator registers the 'analyze_fng_trend' function as an MCP tool.async def analyze_fng_trend(days: int, ctx: Context) -> str:
- main.py:86-95 (schema)The docstring provides the input schema (days: int) and output description for the tool.""" Analyze trends in Crypto Fear & Greed Index over specified days. Parameters: days (int): Number of days to analyze (must be a positive integer). Returns: str: A string containing the analysis results, including latest value, average value, trend direction, and number of data points analyzed. """