alert-system
Set price alerts, volume alerts, indicator alerts (RSI/MACD), and news alerts for crypto trading.
Skill by Signal-Execution-Labs
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/signal-execution-labs-alert-system
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: finance
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/alert-system
What's inside
- Skill name
alert-system- Description
- Set price alerts, volume alerts, indicator alerts (RSI/MACD), and news alerts for crypto trading.
- License
- MIT
- Instructions
- 260 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (2)
- SKILL.md
- alert_monitor.py · scripts/
SKILL.md (first lines)
# Alert System
Real-time alerts for price movements, technical indicators, and market events.
## Overview
- **Price Alerts** - Trigger when price crosses threshold
- **Volume Alerts** - Unusual volume detection
- **Indicator Alerts** - RSI overbought/oversold, MACD crossovers
- **News Alerts** - Breaking crypto news
## Alert Storage
Alerts stored in `~/.kit/alerts.json`:
```json
{
"alerts": [
{
"id": "alert_001",
"type": "price",
"symbol": "BTC/USDT",
"condition": "above",
"value": 50000,
"active": true,
"notify": ["telegram", "sound"]
}
]
}
```
## Commands
### Price Alert - Above
```bash
python3 -c "
import ccxt
import time
symbol = 'BTC/USDT'
target = 50000
exchange = ccxt.binance()
print(f'⏳ Watching {symbol} for price above \${target:,}...')
while True:
ticker = exchange.fetch_ticker(symbol)
price = ticker['last']
if price >= target:
print(f'🚨 ALERT: {symbol} is now \${price:,.2f} (above \${target:,})')
break
print(f'Current: \${price:,.2f}', end='\\r')
time.sleep(10)
"
```
### Price Alert - Below
```bash
python3 -c "
import ccxt
import time
symbol = 'BTC/USDT'
target = 45000
exchange = ccxt.binance()
print(f'⏳ Watching {symbol} for price below \${target:,}...')
while True:
ticker = exchange.fetch_ticker(symbol)
price = ticker['last']
if price <= target:
print(f'🚨 ALERT: {symbol} dropped to \${price:,.2f} (below \${target:,})')
break
time.sleep(10)
"
```
### Percent Change Alert
```bash
python3 -c "
import ccxt
import time
symbol = 'BTC/USDT'
threshold_pct = 5 # 5% move
exchange = ccxt.binance()
ticker = exchange.fetch_ticker(symbol)
start_price = ticker['last']
print(f'⏳ Watching {symbol} for {threshold_pct}% move from \${start_price:,.2f}...')
while True:
ticker = exchange.fetch_ticker(symbol)
price = ticker['last']
change_pct = ((price - start_price) / start_price) * 100
if abs(change_pct) >= threshold_pct:
direction = '📈' if change_pct > 0 else '📉'
print(f'🚨 {direction} {symbol} moved {change_pct:+.2f}% to \${price:,.2f}')
break
time.sleep(30)
"
```
### Volume Spike Alert
```bash
python3 -c "
import ccxt
import time
symbol = 'BTC/USDT'
volume_multiplier = 2 # 2x average volume
exchange = ccxt.binance()
# Get average volume (last 24 bars)
ohlcv = exchange.fetch_ohlcv(symbol, '1h', limit=24)From Signal-Execution-Labs/forex-trading-ai-agent, MIT.
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Signals
- Stars
- 176
- Forks
- 879
- Open issues
- 1
- Last commit (this folder)
- Feb 9, 2026 (8 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
alert-system skill. Agent Mart. https://agentmart.dev/skills/signal-execution-labs-alert-system (last updated 2026-10-24)