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add balance/mean-reversion signal and Cloudflare visitor logging

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Balance signal (15% weight) favors under-represented chairs over last 50
games. Visitor middleware captures real IPs from CF headers, batched into
ClickHouse with 90-day TTL.
This commit is contained in:
Junaid Saeed Uppal
2026-02-26 09:59:27 +05:00
parent 5fd4894599
commit 86865166ef
4 changed files with 135 additions and 9 deletions
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6
static/predictions.html
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@@ -456,7 +456,7 @@ function renderPrediction(data) {
// Signal table
const tbody = $('signal-table').querySelector('tbody');
const sigNames = {'base_rate':'Base Rate','markov_1':'Markov-1','markov_2':'Markov-2','recent_20':'Recent 20','streak':'Streak'};
const sigNames = {'base_rate':'Base Rate','markov_1':'Markov-1','markov_2':'Markov-2','recent_20':'Recent 20','streak':'Streak','balance':'Balance'};
tbody.innerHTML = Object.entries(data.signals).map(([key, sig]) =>
`<tr><td style="text-align:left">${sigNames[key]||key}</td><td>${(sig.weight*100).toFixed(0)}%</td>` +
CHAIRS.map(c => `<td style="color:${CHAIR_COLORS[c]}">${pct(sig.probs[c])}</td>`).join('') + '</tr>'
@@ -914,7 +914,7 @@ function renderRunsTest(runs) {
function renderBacktest(bt) {
if (bt.error) { $('backtest-cards').innerHTML = `<div style="color:var(--text2)">${bt.error}</div>`; return; }
const names = {base_rate:'Base Rate',markov_1:'Markov-1',markov_2:'Markov-2',recent_20:'Recent 20',streak:'Streak',combined:'Combined'};
const names = {base_rate:'Base Rate',markov_1:'Markov-1',markov_2:'Markov-2',recent_20:'Recent 20',streak:'Streak',balance:'Balance',combined:'Combined'};
$('backtest-cards').innerHTML = Object.entries(bt.accuracy).map(([key, acc]) => {
const fh = bt.full_hits?.[key] ?? '?';
const sh = bt.semi_hits?.[key] ?? '?';
@@ -925,7 +925,7 @@ function renderBacktest(bt) {
}).join('');
if (bt.rolling_accuracy) {
const ctx = $('backtest-chart').getContext('2d');
const colors = {base_rate:'#8b8fa3',markov_1:'#3b82f6',markov_2:'#ec4899',recent_20:'#f59e0b',streak:'#10b981',combined:'#6c5ce7'};
const colors = {base_rate:'#8b8fa3',markov_1:'#3b82f6',markov_2:'#ec4899',recent_20:'#f59e0b',streak:'#10b981',balance:'#f472b6',combined:'#6c5ce7'};
const datasets = Object.entries(bt.rolling_accuracy).map(([key, data]) => ({
label: names[key]||key, data, borderColor: colors[key]||'#fff', backgroundColor: 'transparent',
borderWidth: key === 'combined' ? 3 : 1.5, pointRadius: 0, tension: 0.3,