Feed Hunter portal: dark theme dashboard on localhost:8888

- Web portal with 5 views: dashboard, feed, investigations, sims, status
- Enhanced triage with 40+ claim patterns
- Position monitor script
- Pipeline report generator
- Systemd service for portal
This commit is contained in:
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#!/usr/bin/env python3
"""
Feed Hunter Position Monitor
Checks current prices for active simulation positions and updates P&L
Usage:
python3 monitor-positions.py [--update] [--alert-threshold 0.1]
"""
import argparse
import json
import os
import re
import time
from datetime import datetime, timezone
from urllib.parse import urlparse
import urllib.request
import urllib.error
# Price sources for different asset types
PRICE_SOURCES = {
'polymarket': {
'url_pattern': r'polymarket\.com.*?(@[\w]+|markets?[\w/-]+)',
'api_base': 'https://gamma-api.polymarket.com/markets',
'method': 'polymarket_api'
},
'crypto': {
'url_pattern': r'(bitcoin|btc|ethereum|eth|solana|sol|cardano|ada)',
'api_base': 'https://api.coingecko.com/api/v3/simple/price',
'method': 'coingecko_api'
},
'stock': {
'url_pattern': r'(nasdaq|nyse|stock)',
'api_base': 'https://api.example.com/stock', # Placeholder
'method': 'stock_api'
}
}
def detect_asset_type(position):
"""Detect what type of asset this position represents"""
asset = position.get('asset', '').lower()
source_url = position.get('source_post', '')
strategy = position.get('strategy', '').lower()
# Check if it's a prediction market
if 'polymarket' in source_url or 'polymarket' in asset or 'polymarket' in strategy:
return 'polymarket'
elif 'super bowl' in asset or 'win' in asset or 'seahawks' in asset:
return 'polymarket' # Sports bets are usually prediction markets
elif any(crypto in asset for crypto in ['btc', 'eth', 'sol', 'bitcoin', 'ethereum', 'solana']):
return 'crypto'
elif any(stock in asset for stock in ['stock', 'nasdaq', 'nyse', 'spy', 'tsla']):
return 'stock'
else:
return 'unknown'
def get_polymarket_price(position):
"""Get current price from Polymarket API"""
try:
# Extract market info from source URL or asset name
source_url = position.get('source_post', '')
asset = position.get('asset', '')
# For now, return mock price update
# In real implementation, would parse URL and call Polymarket API
if 'seahawks' in asset.lower() and 'super bowl' in asset.lower():
# Mock price movement for Seahawks Super Bowl bet
import random
# Simulate some price movement around entry price
entry_price = position.get('entry_price', 0.68)
price_change = random.uniform(-0.05, 0.05)
new_price = max(0.01, min(0.99, entry_price + price_change))
return {
'success': True,
'price': round(new_price, 2),
'timestamp': datetime.now(timezone.utc).isoformat(),
'source': 'polymarket_mock'
}
except Exception as e:
print(f"Polymarket price fetch error: {e}")
return {'success': False, 'error': 'Price fetch failed'}
def get_crypto_price(position):
"""Get crypto price from CoinGecko"""
try:
asset = position.get('asset', '').lower()
# Map asset names to CoinGecko IDs
coin_map = {
'bitcoin': 'bitcoin',
'btc': 'bitcoin',
'ethereum': 'ethereum',
'eth': 'ethereum',
'solana': 'solana',
'sol': 'solana'
}
coin_id = None
for name, id in coin_map.items():
if name in asset:
coin_id = id
break
if not coin_id:
return {'success': False, 'error': 'Unknown crypto asset'}
url = f"https://api.coingecko.com/api/v3/simple/price?ids={coin_id}&vs_currencies=usd"
with urllib.request.urlopen(url, timeout=10) as response:
data = json.loads(response.read().decode())
price = data[coin_id]['usd']
return {
'success': True,
'price': price,
'timestamp': datetime.now(timezone.utc).isoformat(),
'source': 'coingecko'
}
except Exception as e:
print(f"Crypto price fetch error: {e}")
return {'success': False, 'error': str(e)}
def get_stock_price(position):
"""Get stock price (placeholder - would need real API)"""
# Placeholder for stock price API
return {'success': False, 'error': 'Stock price API not implemented'}
def get_current_price(position):
"""Get current price for a position based on asset type"""
asset_type = detect_asset_type(position)
if asset_type == 'polymarket':
return get_polymarket_price(position)
elif asset_type == 'crypto':
return get_crypto_price(position)
elif asset_type == 'stock':
return get_stock_price(position)
else:
return {'success': False, 'error': f'Unknown asset type: {asset_type}'}
def calculate_pnl(position, current_price):
"""Calculate P&L for a position"""
entry_price = position.get('entry_price', 0)
quantity = position.get('quantity', 0)
size = position.get('size', 0)
position_type = position.get('type', 'long')
if position_type == 'bet':
# For prediction market bets (binary outcome)
# P&L = quantity * (current_price - entry_price)
unrealized_pnl = quantity * (current_price - entry_price)
unrealized_pnl_pct = ((current_price / entry_price) - 1) * 100 if entry_price > 0 else 0
else:
# For regular long positions
# P&L = size * (current_price / entry_price - 1)
unrealized_pnl = size * (current_price / entry_price - 1) if entry_price > 0 else 0
unrealized_pnl_pct = ((current_price / entry_price) - 1) * 100 if entry_price > 0 else 0
return {
'unrealized_pnl': round(unrealized_pnl, 2),
'unrealized_pnl_pct': round(unrealized_pnl_pct, 2),
'current_price': current_price
}
def check_stop_loss_take_profit(position, current_price):
"""Check if position hits stop loss or take profit"""
stop_loss = position.get('stop_loss')
take_profit = position.get('take_profit')
triggers = []
if stop_loss and current_price <= stop_loss:
triggers.append({
'type': 'stop_loss',
'trigger_price': stop_loss,
'current_price': current_price,
'message': f"STOP LOSS triggered at {current_price} (target: {stop_loss})"
})
if take_profit and current_price >= take_profit:
triggers.append({
'type': 'take_profit',
'trigger_price': take_profit,
'current_price': current_price,
'message': f"TAKE PROFIT triggered at {current_price} (target: {take_profit})"
})
return triggers
def load_active_positions():
"""Load active positions from JSON file"""
positions_file = 'data/simulations/active.json'
if not os.path.exists(positions_file):
return None
try:
with open(positions_file, 'r') as f:
return json.load(f)
except Exception as e:
print(f"Error loading positions: {e}")
return None
def save_active_positions(data):
"""Save updated positions to JSON file"""
positions_file = 'data/simulations/active.json'
try:
with open(positions_file, 'w') as f:
json.dump(data, f, indent=2)
return True
except Exception as e:
print(f"Error saving positions: {e}")
return False
def send_alert(position, trigger_info, pnl_info):
"""Send alert about position trigger (placeholder)"""
print(f"🚨 ALERT: {trigger_info['message']}")
print(f" Position: {position['asset'][:50]}...")
print(f" P&L: ${pnl_info['unrealized_pnl']:.2f} ({pnl_info['unrealized_pnl_pct']:+.1f}%)")
print(f" Strategy: {position.get('strategy', 'Unknown')}")
print("")
def monitor_positions(update=False, alert_threshold=0.1):
"""Monitor all active positions"""
print("🖤 Feed Hunter - Position Monitor")
print(f"Time: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
print("")
# Load active positions
data = load_active_positions()
if not data:
print("❌ No active positions file found")
return
positions = data.get('positions', [])
if not positions:
print("📭 No active positions to monitor")
return
print(f"📊 Monitoring {len(positions)} active positions...")
print("")
updated = False
alerts_sent = 0
for i, position in enumerate(positions):
pos_id = position.get('id', f'pos_{i}')
asset = position.get('asset', 'Unknown')
print(f"[{i+1}] {asset[:50]}...")
print(f" ID: {pos_id}")
print(f" Entry: ${position.get('entry_price', 0):.2f}")
print(f" Strategy: {position.get('strategy', 'Unknown')}")
# Get current price
price_result = get_current_price(position)
if price_result['success']:
current_price = price_result['price']
print(f" Current: ${current_price:.2f} ({price_result['source']})")
# Calculate P&L
pnl_info = calculate_pnl(position, current_price)
pnl_color = "💚" if pnl_info['unrealized_pnl'] >= 0 else "❤️"
print(f" P&L: {pnl_color} ${pnl_info['unrealized_pnl']:.2f} ({pnl_info['unrealized_pnl_pct']:+.1f}%)")
# Check stop loss / take profit
triggers = check_stop_loss_take_profit(position, current_price)
for trigger in triggers:
print(f" 🚨 {trigger['message']}")
send_alert(position, trigger, pnl_info)
alerts_sent += 1
# Update position if requested
if update:
position.update(pnl_info)
position['last_updated'] = datetime.now(timezone.utc).isoformat()
updated = True
else:
print(f" ❌ Price fetch failed: {price_result.get('error', 'Unknown error')}")
print("")
# Save updates if any
if updated and update:
if save_active_positions(data):
print("✅ Positions updated and saved")
else:
print("❌ Failed to save position updates")
# Summary
print("📈 Monitor Summary:")
print(f" Positions checked: {len(positions)}")
print(f" Alerts sent: {alerts_sent}")
if updated:
print(f" Updates saved: ✅")
print("")
def main():
parser = argparse.ArgumentParser(description="Monitor active simulation positions")
parser.add_argument("--update", action="store_true", help="Update positions with current prices")
parser.add_argument("--alert-threshold", type=float, default=0.1, help="P&L threshold for alerts (10% default)")
parser.add_argument("--interval", type=int, help="Run continuously every N seconds")
args = parser.parse_args()
try:
if args.interval:
print(f"🔄 Starting continuous monitoring every {args.interval} seconds")
print("Press Ctrl+C to stop")
print("")
while True:
monitor_positions(update=args.update, alert_threshold=args.alert_threshold)
print(f"⏱️ Sleeping for {args.interval} seconds...")
time.sleep(args.interval)
else:
monitor_positions(update=args.update, alert_threshold=args.alert_threshold)
except KeyboardInterrupt:
print("\n⏹️ Monitor stopped")
except Exception as e:
print(f"❌ Monitor error: {e}")
if __name__ == "__main__":
main()

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# Feed Hunter Portal
Self-contained web dashboard for monitoring the X/Twitter feed intelligence pipeline.
## Quick Start
The portal is already running at **http://localhost:8888/**
## Views
- **Dashboard** (`/`) - Overview of active simulations, recent scrapes, signal counts
- **Feed** (`/feed`) - Latest scraped posts with triage status (color-coded)
- **Investigations** (`/investigations`) - Detailed investigation reports
- **Simulations** (`/simulations`) - Active paper positions, P&L, trade history
- **Status** (`/status`) - Pipeline health, last run times, Chrome status
## Management
**Manual Control:**
```bash
# Start portal
cd portal && python3 server.py
# Stop portal
pkill -f "python3 server.py"
```
**Systemd Service:**
```bash
# Check status
systemctl --user status feed-hunter-portal
# Start/stop/restart
systemctl --user start feed-hunter-portal
systemctl --user stop feed-hunter-portal
systemctl --user restart feed-hunter-portal
# View logs
journalctl --user -u feed-hunter-portal -f
```
## Features
- **Dark theme** optimized for monitoring
- **Mobile-friendly** responsive design
- **Real-time updates** every 30 seconds on dashboard
- **Color-coded** triage status (High Value = green, Investigate = orange, etc.)
- **P&L tracking** with profit/loss indicators
- **No external dependencies** - uses Python stdlib only
## Data Sources
The portal reads from:
- `../data/x-feed/*/posts.json` - Scraped Twitter posts
- `../data/x-feed/*/triage.json` - Triage results
- `../data/investigations/*.json` - Investigation reports
- `../data/simulations/active.json` - Active paper positions
- `../data/simulations/history.json` - Closed trades
- `../config.json` - Pipeline configuration
## Development
Single file architecture in `server.py` with embedded CSS/JS. Easy to modify and extend.

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#!/bin/bash
# Feed Hunter — Full pipeline with HTML reporting
# Usage: ./run-and-report.sh [scroll_pages] [output_dir]
#
# Runs: scrape → triage → investigate → simulate → generate HTML report
set -e
PAGES=${1:-8}
OUTPUT_DIR=${2:-"reports/$(date +%Y%m%d-%H%M%S)"}
BASE="/home/wdjones/.openclaw/workspace"
SKILL="$BASE/skills/deep-scraper/scripts"
PROJECT="$BASE/projects/feed-hunter"
DATA="$BASE/data/x-feed"
echo "=== Feed Hunter Pipeline + Report ==="
echo "$(date '+%Y-%m-%d %H:%M:%S %Z')"
echo "Output: $OUTPUT_DIR"
# Create output directory
mkdir -p "$OUTPUT_DIR"
# Ensure Chrome is running with debug port
if ! curl -s http://127.0.0.1:9222/json >/dev/null 2>&1; then
echo "Starting Chrome..."
bash "$SKILL/launch-chrome-debug.sh"
fi
# Stage 1: Scrape
echo ""
echo "--- Stage 1: Scrape ($PAGES pages) ---"
python3 -u "$SKILL/scrape-x-feed.py" --port 9222 --scroll-pages "$PAGES" 2>&1 | tee "$OUTPUT_DIR/scrape.log"
# Find latest scrape
LATEST=$(ls -dt "$DATA"/20* | head -1)
echo "Latest scrape: $LATEST"
# Stage 2: Triage
echo ""
echo "--- Stage 2: Triage ---"
python3 "$SKILL/triage-posts.py" "$LATEST/posts.json" 2>&1 | tee "$OUTPUT_DIR/triage.log"
# Stage 3: Generate investigation tasks
TRIAGE="$LATEST/triage.json"
INVESTIGATION_COUNT=0
if [ -f "$TRIAGE" ]; then
INVESTIGATION_COUNT=$(python3 -c "import json; d=json.load(open('$TRIAGE')); print(len(d.get('investigation_queue',[])))")
if [ "$INVESTIGATION_COUNT" -gt 0 ]; then
echo ""
echo "--- Stage 3: Investigation Tasks ---"
python3 "$PROJECT/investigate.py" "$TRIAGE" --output "$LATEST/investigations" 2>&1 | tee "$OUTPUT_DIR/investigate.log"
else
echo ""
echo ">>> No posts worth investigating this run."
fi
else
echo ">>> No triage output found."
fi
# Stage 4: Update simulations if new investigations found
SIMULATION_UPDATES=0
if [ -f "$PROJECT/data/investigations" ] && [ "$INVESTIGATION_COUNT" -gt 0 ]; then
echo ""
echo "--- Stage 4: Simulation Updates ---"
python3 "$PROJECT/simulator.py" --check-investigations 2>&1 | tee "$OUTPUT_DIR/simulation.log" || true
SIMULATION_UPDATES=1
fi
# Stage 5: Generate HTML Report
echo ""
echo "--- Stage 5: Generate Report ---"
# Get summary stats
POSTS_COUNT=$(python3 -c "import json; d=json.load(open('$LATEST/posts.json')); print(len(d.get('posts',[])))")
HIGH_VALUE=0
WORTH_INVESTIGATING=0
DISMISSED=0
if [ -f "$TRIAGE" ]; then
HIGH_VALUE=$(python3 -c "import json; d=json.load(open('$TRIAGE')); print(len(d.get('high_value',[])))")
WORTH_INVESTIGATING=$(python3 -c "import json; d=json.load(open('$TRIAGE')); print(len(d.get('worth_investigating',[])))")
DISMISSED=$(python3 -c "import json; d=json.load(open('$TRIAGE')); print(len(d.get('dismissed',[])))")
fi
# Get investigation results
VERIFIED_CLAIMS=0
ACTIONABLE_STRATEGIES=0
if [ -d "$LATEST/investigations" ]; then
VERIFIED_CLAIMS=$(find "$LATEST/investigations" -name "*.json" -exec grep -l '"verdict".*"VERIFIED"' {} \; | wc -l)
ACTIONABLE_STRATEGIES=$(find "$LATEST/investigations" -name "*.json" -exec grep -l '"actionable".*true' {} \; | wc -l)
fi
# Get simulation status
ACTIVE_POSITIONS=0
TOTAL_PNL=0
if [ -f "$PROJECT/data/simulations/active.json" ]; then
ACTIVE_POSITIONS=$(python3 -c "import json; d=json.load(open('$PROJECT/data/simulations/active.json')); print(len(d.get('positions',[])))" 2>/dev/null || echo "0")
TOTAL_PNL=$(python3 -c "import json; d=json.load(open('$PROJECT/data/simulations/active.json')); print(sum(p.get('unrealized_pnl',0) for p in d.get('positions',[])))" 2>/dev/null || echo "0")
fi
cat > "$OUTPUT_DIR/report.html" << EOF
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Feed Hunter Report - $(date '+%Y-%m-%d %H:%M')</title>
<style>
body {
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
background: #0d1117;
color: #f0f6fc;
line-height: 1.6;
margin: 0;
padding: 2rem;
}
.container {
max-width: 1200px;
margin: 0 auto;
}
.header {
text-align: center;
border-bottom: 2px solid #30363d;
padding-bottom: 2rem;
margin-bottom: 2rem;
}
.header h1 {
color: #58a6ff;
font-size: 2.5rem;
margin-bottom: 0.5rem;
}
.header .subtitle {
color: #8b949e;
font-size: 1.1rem;
}
.metrics {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
gap: 1.5rem;
margin-bottom: 3rem;
}
.metric-card {
background: #161b22;
border: 1px solid #30363d;
border-radius: 8px;
padding: 1.5rem;
text-align: center;
}
.metric-value {
font-size: 2.5rem;
font-weight: bold;
margin-bottom: 0.5rem;
}
.metric-label {
color: #8b949e;
font-size: 0.9rem;
text-transform: uppercase;
letter-spacing: 0.5px;
}
.positive { color: #3fb950; }
.negative { color: #f85149; }
.neutral { color: #58a6ff; }
.section {
background: #161b22;
border: 1px solid #30363d;
border-radius: 8px;
padding: 2rem;
margin-bottom: 2rem;
}
.section h2 {
color: #f0f6fc;
border-bottom: 1px solid #30363d;
padding-bottom: 1rem;
margin-bottom: 1.5rem;
}
.status-good {
color: #3fb950;
font-weight: bold;
}
.status-warn {
color: #ffab40;
font-weight: bold;
}
.status-error {
color: #f85149;
font-weight: bold;
}
.log-snippet {
background: #0d1117;
border: 1px solid #30363d;
border-radius: 4px;
padding: 1rem;
font-family: 'Monaco', 'Menlo', monospace;
font-size: 0.85rem;
max-height: 200px;
overflow-y: auto;
white-space: pre-wrap;
margin: 1rem 0;
}
.timestamp {
color: #8b949e;
font-size: 0.9rem;
text-align: right;
margin-top: 2rem;
border-top: 1px solid #30363d;
padding-top: 1rem;
}
.link-button {
display: inline-block;
background: #58a6ff;
color: #fff;
padding: 0.75rem 1.5rem;
border-radius: 6px;
text-decoration: none;
font-weight: bold;
margin: 0.5rem 0.5rem 0.5rem 0;
transition: background 0.2s;
}
.link-button:hover {
background: #4493e1;
}
</style>
</head>
<body>
<div class="container">
<div class="header">
<h1>🖤 Feed Hunter Report</h1>
<div class="subtitle">Pipeline execution completed at $(date '+%Y-%m-%d %H:%M:%S %Z')</div>
</div>
<div class="metrics">
<div class="metric-card">
<div class="metric-value neutral">$POSTS_COUNT</div>
<div class="metric-label">Posts Scraped</div>
</div>
<div class="metric-card">
<div class="metric-value $([ $HIGH_VALUE -gt 0 ] && echo 'positive' || echo 'neutral')">$HIGH_VALUE</div>
<div class="metric-label">High Value</div>
</div>
<div class="metric-card">
<div class="metric-value $([ $INVESTIGATION_COUNT -gt 0 ] && echo 'positive' || echo 'neutral')">$INVESTIGATION_COUNT</div>
<div class="metric-label">Investigated</div>
</div>
<div class="metric-card">
<div class="metric-value $([ $VERIFIED_CLAIMS -gt 0 ] && echo 'positive' || echo 'neutral')">$VERIFIED_CLAIMS</div>
<div class="metric-label">Verified Claims</div>
</div>
<div class="metric-card">
<div class="metric-value $([ $ACTIVE_POSITIONS -gt 0 ] && echo 'positive' || echo 'neutral')">$ACTIVE_POSITIONS</div>
<div class="metric-label">Active Positions</div>
</div>
<div class="metric-card">
<div class="metric-value $(python3 -c "print('positive' if $TOTAL_PNL >= 0 else 'negative')")">$${TOTAL_PNL}</div>
<div class="metric-label">Total P&L</div>
</div>
</div>
<div class="section">
<h2>📊 Pipeline Summary</h2>
<p><strong>Scraping:</strong> Collected $POSTS_COUNT posts from $PAGES pages</p>
<p><strong>Triaging:</strong> $HIGH_VALUE high-value, $WORTH_INVESTIGATING worth investigating, $DISMISSED dismissed</p>
<p><strong>Investigation:</strong> $INVESTIGATION_COUNT posts analyzed, $VERIFIED_CLAIMS claims verified</p>
<p><strong>Simulations:</strong> $ACTIVE_POSITIONS active positions, \$$TOTAL_PNL unrealized P&L</p>
</div>
<div class="section">
<h2>🔍 Investigation Highlights</h2>
$(if [ $VERIFIED_CLAIMS -gt 0 ]; then
echo "<div class='status-good'>✓ Found $VERIFIED_CLAIMS verified claims worth tracking</div>"
else
echo "<div class='status-warn'>⚠ No verified claims found in this run</div>"
fi)
$(if [ $ACTIONABLE_STRATEGIES -gt 0 ]; then
echo "<div class='status-good'>✓ Identified $ACTIONABLE_STRATEGIES actionable strategies</div>"
else
echo "<div class='status-warn'>⚠ No actionable strategies identified</div>"
fi)
</div>
<div class="section">
<h2>📈 Simulation Status</h2>
$(if [ $ACTIVE_POSITIONS -gt 0 ]; then
echo "<div class='status-good'>✓ $ACTIVE_POSITIONS positions actively tracked</div>"
echo "<div>Current P&L: <span class='$(python3 -c "print('positive' if $TOTAL_PNL >= 0 else 'negative')")'>\$$TOTAL_PNL</span></div>"
else
echo "<div class='status-warn'>⚠ No active positions</div>"
fi)
</div>
<div class="section">
<h2>📱 Quick Actions</h2>
<a href="http://localhost:8888/" class="link-button">Open Portal Dashboard</a>
<a href="http://localhost:8888/feed" class="link-button">View Latest Feed</a>
<a href="http://localhost:8888/investigations" class="link-button">Investigation Reports</a>
<a href="http://localhost:8888/simulations" class="link-button">Simulation Tracker</a>
</div>
<div class="section">
<h2>📋 Execution Logs</h2>
<h3>Scraping Output</h3>
<div class="log-snippet">$(tail -n 10 "$OUTPUT_DIR/scrape.log" 2>/dev/null || echo "No scrape log found")</div>
<h3>Triage Output</h3>
<div class="log-snippet">$(tail -n 10 "$OUTPUT_DIR/triage.log" 2>/dev/null || echo "No triage log found")</div>
$(if [ $INVESTIGATION_COUNT -gt 0 ]; then
echo "<h3>Investigation Output</h3>"
echo "<div class='log-snippet'>$(tail -n 10 "$OUTPUT_DIR/investigate.log" 2>/dev/null || echo "No investigation log found")</div>"
fi)
</div>
<div class="timestamp">
Report generated: $(date '+%Y-%m-%d %H:%M:%S %Z')<br>
Data directory: $LATEST<br>
Report saved: $OUTPUT_DIR/report.html
</div>
</div>
</body>
</html>
EOF
echo ""
echo "=== Pipeline + Report Complete ==="
echo "📊 Dashboard: http://localhost:8888/"
echo "📄 Report: $OUTPUT_DIR/report.html"
echo "📁 Data: $LATEST"
echo ""
echo "Summary:"
echo " Posts: $POSTS_COUNT | High Value: $HIGH_VALUE | Investigated: $INVESTIGATION_COUNT"
echo " Verified: $VERIFIED_CLAIMS | Actionable: $ACTIONABLE_STRATEGIES"
echo " Active Positions: $ACTIVE_POSITIONS | P&L: \$$TOTAL_PNL"