#!/usr/bin/env python3
"""Generate standalone correlation.html"""
import json, sys, os
_ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.insert(0, _ROOT)
from tools.macro_correlation import analyze
def generate():
data = analyze()
syms = data.get('symbols', [])
labels = data.get('labels', {})
matrix = data.get('correlation_matrix', {})
prices = data.get('prices', {})
vols = data.get('volatilities', {})
hedge = data.get('hedge_suggestions', [])
# Correlation matrix rows
rows = ''
for si in syms:
rows += '| %s | ' % labels.get(si, si)
for sj in syms:
v = matrix.get(si, {}).get(sj, 0)
a = abs(v)
bg = 'rgba(63,185,80,%s)' % str(round(a,2)) if v>0 else 'rgba(248,81,73,%s)' % str(round(a,2))
rows += '%.3f | ' % (bg, v)
rows += '
'
# Volatility rows
vol_rows = ''
for s in sorted(vols, key=lambda x: -vols[x]):
vol_rows += '| %s | %.1f%% |
' % (labels.get(s, s), vols[s])
# Hedge rows
hedge_rows = ''
for h in hedge[:10]:
c = '#22c55e' if h['quality']=='Excellent' else '#f59e0b' if h['quality']=='Good' else '#64748b'
hedge_rows += '| %s | %.3f | %s | %.1f%% |
' % (
h['label'], h['corr'], c, h['quality'], h['weight'])
# Price rows
price_rows = ''
for s in syms:
p = prices.get(s, 0)
price_rows += '| %s | $%.2f |
' % (labels.get(s, s), p)
html = '''
Correlation & Hedge
← Dashboard
Multi-Asset Correlation & Hedge
1-Week 1H Bars · Generated: ''' + data['timestamp'] + ''' BJT · ''' + str(len(syms)) + ''' assets
Correlation Matrix
| ''' + ''.join('%s | ' % labels.get(s, s) for s in syms) + '''
|---|
''' + rows + '''
Hedge Allocation vs BTC
| Asset | Corr | Quality | Weight |
|---|
''' + hedge_rows + '''
Asset Prices & Volatility
Prices
| Asset | Price |
|---|
''' + price_rows + '''
Volatility (Ann.)
| Asset | Vol % |
|---|
''' + vol_rows + '''
'''
out_path = os.path.join(_ROOT, 'dashboard', 'correlation_static.html')
with open(out_path, 'w', encoding='utf-8') as f:
f.write(html)
print('Generated correlation_static.html (%d KB)' % (os.path.getsize(out_path)//1024))
if __name__ == '__main__':
generate()