refactor(V2): get_historical & get_indicators are common-only on /mcp

Consolidate the cross-cutting data tools onto the unified interface and
remove their per-exchange duplicates.

- /mcp/tools/get_historical: single call, `exchange` now optional. Set →
  that venue's candles (native symbol); omitted → cross-exchange consensus
  (canonical symbol, median OHLC + div_pct). Folds in the former
  /mcp-cross consensus, whose router is deleted.
- /mcp/tools/get_indicators: new common tool computing sma/rsi/atr/macd/adx
  over the single-or-consensus series. Computation centralized in
  common/indicators.py::compute_indicators (was duplicated per exchange).
- Remove get_historical from /mcp-deribit and /mcp-hyperliquid; remove
  get_technical_indicators (deribit) and get_indicators (hyperliquid),
  including the now-dead client methods, Req schemas and tool wrappers.
  The client get_historical METHODS stay (used by the unified dispatch).

Tests: rewrite cross tests into test_unified (instruments, historical
single + consensus + failures, indicators single + consensus); drop the
old CrossClient test; tighten app-boot surface assertions (/mcp owns the
data tools; no /mcp-cross, no per-exchange historical/indicators).

Docs: API_REFERENCE / README / CLAUDE updated; smoke run_unified.sh now
covers consensus + indicators.

324 passed, ruff clean. Verified live against Deribit/Hyperliquid.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

src/cerbero_mcp/exchanges/deribit/client.py

@@ -8,7 +8,6 @@ from typing import Any
 
 from fastapi import HTTPException
 
-from cerbero_mcp.common import indicators as ind
 from cerbero_mcp.common import microstructure as micro
 from cerbero_mcp.common import options as opt
 from cerbero_mcp.common.candles import validate_candles
@@ -1602,37 +1601,6 @@ class DeribitClient:
             "testnet": self.testnet,
         }
 
-    async def get_technical_indicators(
-        self,
-        instrument: str,
-        indicators: list[str],
-        start_date: str,
-        end_date: str,
-        resolution: str = "1h",
-    ) -> dict:
-        historical = await self.get_historical(instrument, start_date, end_date, resolution)
-        candles = historical.get("candles", [])
-        closes = [c["close"] for c in candles]
-        highs = [c["high"] for c in candles]
-        lows = [c["low"] for c in candles]
-
-        result: dict[str, Any] = {}
-        for indicator in indicators:
-            name = indicator.lower()
-            if name == "sma":
-                result["sma"] = ind.sma(closes, 20)
-            elif name == "rsi":
-                result["rsi"] = ind.rsi(closes)
-            elif name == "atr":
-                result["atr"] = ind.atr(highs, lows, closes)
-            elif name == "macd":
-                result["macd"] = ind.macd(closes)
-            elif name == "adx":
-                result["adx"] = ind.adx(highs, lows, closes)
-            else:
-                result[name] = None
-        return result
-
     # ── Write tools ──────────────────────────────────────────────
 
     async def place_order(