feat: replace ML optimizer with on-chain accumulation zone monitor

Complete rewrite — replaces the ML-based signal optimizer with a transparent
on-chain metric monitoring dashboard. Scrapes 10 metrics from LookIntoBitcoin
(Playwright) and free APIs, scores each 0-10, composite 0-100.

Metrics: Fear & Greed, Puell Multiple, MVRV Z-Score, Drawdown from ATH,
Price vs 200W SMA, Reserve Risk, RHODL Ratio, NUPL, LTH Realized Price,
Hash Ribbons. Auto-refreshes every 15 minutes. Settings page preserved.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

scrapers/price.py

@@ -0,0 +1,80 @@
+"""BTC price data from CoinGecko API."""
+
+import logging
+import requests
+
+log = logging.getLogger(__name__)
+
+PRICE_URL = "https://api.coingecko.com/api/v3/simple/price?ids=bitcoin&vs_currencies=usd&include_24hr_change=true"
+HISTORY_URL = "https://api.coingecko.com/api/v3/coins/bitcoin/market_chart?vs_currency=usd&days=365"
+ATH_URL = "https://api.coingecko.com/api/v3/coins/bitcoin?localization=false&tickers=false&market_data=true&community_data=false&developer_data=false"
+
+
+def fetch_current():
+    """Fetch current BTC price and 24h change."""
+    try:
+        resp = requests.get(PRICE_URL, timeout=15)
+        resp.raise_for_status()
+        data = resp.json()
+        btc = data.get("bitcoin", {})
+        return {
+            "price": btc.get("usd"),
+            "change_24h": btc.get("usd_24h_change"),
+        }
+    except Exception as e:
+        log.error("Price fetch error: %s", e)
+        return {"price": None, "error": str(e)}
+
+
+def fetch_historical():
+    """Fetch 365 days of BTC price history. Returns list of [timestamp, price]."""
+    try:
+        resp = requests.get(HISTORY_URL, timeout=30)
+        resp.raise_for_status()
+        data = resp.json()
+        prices = data.get("prices", [])
+        return prices
+    except Exception as e:
+        log.error("Historical price fetch error: %s", e)
+        return []
+
+
+def fetch_ath():
+    """Fetch BTC all-time high from CoinGecko."""
+    try:
+        resp = requests.get(ATH_URL, timeout=15)
+        resp.raise_for_status()
+        data = resp.json()
+        market = data.get("market_data", {})
+        ath = market.get("ath", {}).get("usd")
+        ath_change = market.get("ath_change_percentage", {}).get("usd")
+        return {
+            "ath": ath,
+            "ath_change_pct": ath_change,
+        }
+    except Exception as e:
+        log.error("ATH fetch error: %s", e)
+        return {"ath": None, "error": str(e)}
+
+
+def calculate_200d_sma(prices):
+    """Calculate 200-day SMA from historical price data."""
+    if not prices or len(prices) < 200:
+        return None
+    # prices is [[timestamp, price], ...]
+    recent_200 = [p[1] for p in prices[-200:]]
+    return sum(recent_200) / len(recent_200)
+
+
+def calculate_mayer_multiple(current_price, sma_200d):
+    """Mayer Multiple = current price / 200-day SMA."""
+    if not current_price or not sma_200d or sma_200d == 0:
+        return None
+    return current_price / sma_200d
+
+
+def calculate_drawdown(current_price, ath):
+    """Drawdown from ATH as percentage."""
+    if not current_price or not ath or ath == 0:
+        return None
+    return (ath - current_price) / ath * 100