Crypto Market Monitor

Comprehensive cryptocurrency market monitoring and economic data analysis. Use when tracking crypto prices, market sentiment, economic data releases, or analyzing how economic indicators impact crypto markets. Supports price alerts, economic calendar management, actual value updates, and automated reporting. After installation, run from your crypto workspace (default path in INSTALL.md).

Complete cryptocurrency market monitoring system with price tracking, economic data releases, and impact analysis.

Installation

Quick install:

bash

clawhub install crypto-market

For manual installation, see INSTALL.md.

Quick Start

Price Monitoring

Monitor 13 major cryptocurrencies (BTC, ETH, XRP, BNB, SOL, ADA, AVAX, DOGE, TRX, LINK, SUI, WLFI, XAUT) with real-time prices, volatility alerts (±5%), market sentiment analysis, and EMA technical indicators.

From your crypto workspace:

bash

cd scripts
python3 crypto_monitor_telegram.py

Economic Data Reports

View upcoming economic data releases (7-day forecast) with importance levels (high/medium) and countdown timers.

From your crypto workspace:

bash

cd economic
python3 daily_economic_report_v2.py

Economic Data Analysis

Update Actual Values

When economic data is released, update actual values to trigger automatic bullish/bearish analysis.

From your crypto workspace:

bash

cd economic
python3 update_economic_data.py update "数据名称" "实际值" --datetime "发布时间"

Examples:

bash

# CPI data (lower is bullish)
python3 update_economic_data.py update "CPI 消费者价格指数" "2.1%" --datetime "2026-03-13 21:30"

# NFP data (higher is bullish)
python3 update_economic_data.py update "非农就业数据" "+280K" --datetime "2026-03-14 21:30"

# GDP data (higher is bullish)
python3 update_economic_data.py update "GDP 季度报告" "1.8%" --datetime "2026-03-20 21:30"

# Unemployment rate (lower is bullish)
python3 update_economic_data.py update "失业率" "4.0%" --datetime "2026-03-14 21:30"

Quick Analysis (No Save)

Analyze data impact without saving to database.

bash

python3 update_economic_data.py analyze "数据名称" "实际值" "预期值" "前值"

Example:

bash

python3 update_economic_data.py analyze "CPI" "2.1%" "2.3%" "2.4%"

View Updated Data

Check all economic data with actual values.

bash

python3 update_economic_data.py list

Bullish/Bearish Analysis

Bullish Indicators (Higher is Bullish) 🟢

• Non-Farm Payrolls (NFP)
• GDP
• Retail Sales
• ADP Employment
• Manufacturing PMI
• Services PMI

Rule: Actual > Expected (+2%+) = Bullish

Bearish Indicators (Lower is Bullish) 🟢

• CPI (Inflation)
• PPI (Prices)
• Unemployment Rate
• Interest Rates (FOMC)

Rule: Actual < Expected (-2%+) = Bullish (pressure relief)

Scheduled Reports

Daily Economic Report

• Time: 08:00 AM daily
• Content: 7-day economic data forecast
• Format: High importance events with expected/previous values and countdown

Comprehensive Monitoring

• Time: Every 30 minutes
• Content: Crypto prices + economic data reminders
• Features: Volatility alerts, market sentiment, EMA indicators

Default Workspace Structure

text

crypto/                    # Your crypto workspace
├── economic/            # Economic data scripts
├── scripts/             # Monitoring scripts
├── data/                # Data storage (actual_data.json)
└── logs/                # Log files

Data Types

High Importance

• Non-Farm Payrolls (NFP) - First Friday monthly, 21:30
• CPI - Mid-month, 21:30
• FOMC Interest Rate - Quarterly, 02:00
• GDP - Quarterly end, 21:30
• Unemployment Rate - First Friday monthly, 21:30

Medium Importance

• ADP Employment - First Wednesday monthly, 21:15
• Retail Sales - Mid-month, 21:30
• Manufacturing PMI - First day monthly, 22:00
• Services PMI - First day monthly, 22:00
• PPI - Mid-month, 21:30

See data-types.md for detailed information on each indicator.

Scripts

Core modules (in economic/):

• economic_calendar.py - Economic calendar management
• economic_analyzer.py - Bullish/bearish analysis engine
• update_economic_data.py - Actual value management

Monitoring (in scripts/):

• crypto_monitor_telegram.py - Price monitoring + economic data

References:

• quick-reference.md - Command cheat sheet
• data-types.md - Economic indicator details
• usage-examples.md - Real-world scenarios

Customization

Change Workspace

Edit paths in scripts or create a config file. See INSTALL.md for details.

Modify Alert Threshold

Edit scripts/crypto_monitor_telegram.py:

python

ALERT_THRESHOLD = 5.0  # Change to your preferred threshold

Add/Remove Tokens

Edit scripts/crypto_monitor_telegram.py TOKENS dictionary.

Important Notes

1. Timezone: All times are Asia/Shanghai (Beijing Time)
2. Data Storage: Actual values saved to data/actual_data.json
3. Impact Analysis: Automatic bullish/bearish determination based on actual vs expected deviation
4. Alert Thresholds: Price volatility alerts trigger at ±5% change

For detailed installation, customization, and usage scenarios, see INSTALL.md and usage-examples.md.