c762564d40
- Fix 71 invalid-syntax files (class-body newline-broken assignments) - Add from/None chain to 307 B904 raise-without-from sites - Add B008 ignore to ruff.toml (already in pyproject.toml) - Noqa F401 on __init__.py re-exports (137 sites) - Noqa E402 on deferred imports (63 sites) - Bulk-add stdlib/FastAPI/project imports for F821 (127 sites) - Replace ×→x, –→-, …→... in docstrings (4093 chars) - Manual refactor of 5 SIM103/SIM116 patterns Tests: 791 passed (66 deselected due to pre-existing Redis issues in test_rag.py) Co-authored-by: opencode <opencode@rugmunch.io>
1590 lines
62 KiB
Python
1590 lines
62 KiB
Python
"""
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Market Intelligence Router - /api/v1/market/*
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Aggregates real data from CoinGecko, DexScreener, Polymarket, alternative.me, Binance.
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All endpoints have in-memory caching and graceful fallbacks.
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"""
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import json
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import logging
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import os
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import time
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from datetime import UTC, datetime, timedelta
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import httpx
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from fastapi import APIRouter, Query, Request
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logger = logging.getLogger(__name__)
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router = APIRouter(prefix="/api/v1/market", tags=["market-intel"])
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# ── API Keys from env ──────────────────────────────────────
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COINGECKO_API_KEY = os.getenv("COINGECKO_API_KEY", "")
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COINGECKO_BASE = "https://api.coingecko.com/api/v3"
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DEXSCREENER_BASE = "https://api.dexscreener.com"
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# ── In-Memory Cache ────────────────────────────────────────
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_cache: dict[str, tuple[float, any]] = {}
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def _cget(key: str, ttl: float):
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entry = _cache.get(key)
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if entry and (time.time() - entry[0]) < ttl:
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return entry[1]
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return None
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def _cset(key: str, data):
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_cache[key] = (time.time(), data)
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# Prevent cache from growing unbounded
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if len(_cache) > 200:
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oldest = min(_cache, key=lambda k: _cache[k][0])
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del _cache[oldest]
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# ── HTTP helpers ───────────────────────────────────────────
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async def _aget(url: str, params=None, headers=None, timeout=10):
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try:
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async with httpx.AsyncClient(timeout=timeout) as c:
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r = await c.get(url, params=params, headers=headers or {})
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if r.status_code == 200:
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return r.json()
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except Exception as e:
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logger.warning(f"HTTP GET {url} failed: {e}")
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return None
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# ── CoinGecko ─────────────────────────────────────────────
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async def _cg(path: str, params=None, ttl=120):
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key = f"cg:{path}:{json.dumps(params or {}, sort_keys=True)}"
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cached = _cget(key, ttl)
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if cached is not None:
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return cached
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headers = {}
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if COINGECKO_API_KEY:
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headers["x-cg-demo-api-key"] = COINGECKO_API_KEY
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data = await _aget(f"{COINGECKO_BASE}{path}", params=params, headers=headers)
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if data:
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_cset(key, data)
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return data
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# ── Alternative.me Fear & Greed ───────────────────────────
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async def _fng(ttl=300):
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cached = _cget("fng", ttl)
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if cached is not None:
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return cached
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data = await _aget("https://api.alternative.me/fng/?limit=1")
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if data:
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_cset("fng", data)
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return data
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# ── Polymarket ────────────────────────────────────────────
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async def _polymarket(limit=6, ttl=300):
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cached = _cget("pm", ttl)
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if cached is not None:
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return cached
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data = await _aget(
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"https://gamma-api.polymarket.com/markets",
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params={"limit": limit, "active": "true", "closed": "false"},
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)
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if data:
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_cset("pm", data)
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return data
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# ── DexScreener ───────────────────────────────────────────
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async def _ds(path: str, params=None, ttl=60):
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key = f"ds_{path}_{params}"
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cached = _cget(key, ttl)
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if cached is not None:
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return cached
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data = await _aget(f"{DEXSCREENER_BASE}{path}", params=params)
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if data:
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_cset(key, data)
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return data
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# ── Binance ────────────────────────────────────────────────
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async def _binance_funding(ttl=120):
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cached = _cget("bn_funding", ttl)
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if cached is not None:
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return cached
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data = await _aget("https://fapi.binance.com/fapi/v1/premiumIndex", params={"limit": 20})
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if data:
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_cset("bn_funding", data)
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return data
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# ── Hyperliquid ────────────────────────────────────────────
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async def _hyperliquid_markets(limit=50, ttl=120):
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"""Hyperliquid perp markets with price, change, volume, OI, funding."""
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cached = _cget("hl_markets", ttl)
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if cached is not None:
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return cached[:limit]
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try:
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async with httpx.AsyncClient(timeout=10) as c:
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r = await c.post(
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"https://api.hyperliquid.xyz/info",
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json={"type": "metaAndAssetCtxs"},
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headers={"Content-Type": "application/json"},
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)
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if r.status_code == 200:
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data = r.json()
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if len(data) >= 2:
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universe = data[0].get("universe", [])
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ctxs = data[1]
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markets = []
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for i, asset in enumerate(universe):
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if i < len(ctxs):
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ctx = ctxs[i]
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prev_px = float(ctx.get("prevDayPx", 1))
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mark_px = float(ctx.get("markPx", 0))
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change_24h = ((mark_px - prev_px) / prev_px * 100) if prev_px > 0 else 0
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markets.append(
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{
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"symbol": asset.get("name", ""),
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"price": mark_px,
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"change_24h": round(change_24h, 2),
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"volume_24h": _safe_float(ctx.get("dayNtlVlm")),
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"open_interest": _safe_float(ctx.get("openInterest")),
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"funding_rate": _safe_float(ctx.get("funding")),
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"funding_rate_pct": round(_safe_float(ctx.get("funding")) * 100, 4),
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}
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)
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# Sort by volume descending by default
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markets.sort(key=lambda x: x["volume_24h"], reverse=True)
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_cset("hl_markets", markets)
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return markets[:limit]
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except Exception as e:
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logger.warning(f"Hyperliquid markets fetch failed: {e}")
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return []
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async def _hyperliquid_action(limit=10, ttl=60):
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"""Hyperliquid 'Gain/Loss Porn': Biggest movers and funding squeezes."""
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cached = _cget("hl_action", ttl)
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if cached is not None:
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return cached
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markets = await _hyperliquid_markets(limit=100)
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if not markets:
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return {}
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# Filter out low volume noise (min $1M 24h volume)
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active = [m for m in markets if m["volume_24h"] >= 1_000_000]
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action_data = {
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"top_gainers": sorted([m for m in active if m["change_24h"] > 0], key=lambda x: x["change_24h"], reverse=True)[
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:limit
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],
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"top_losers": sorted([m for m in active if m["change_24h"] < 0], key=lambda x: x["change_24h"])[:limit],
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"long_squeeze_highest_funding": sorted(
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[m for m in active if m["funding_rate"] > 0],
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key=lambda x: x["funding_rate"],
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reverse=True,
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)[:limit],
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"short_squeeze_lowest_funding": sorted(
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[m for m in active if m["funding_rate"] < 0], key=lambda x: x["funding_rate"]
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)[:limit],
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"highest_volume": sorted(active, key=lambda x: x["volume_24h"], reverse=True)[:limit],
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}
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_cset("hl_action", action_data)
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return action_data
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async def _hyperliquid_funding(limit=10, ttl=120):
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"""Top Hyperliquid funding rates (highest absolute)."""
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cached = _cget("hl_funding", ttl)
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if cached is not None:
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return cached[:limit]
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try:
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async with httpx.AsyncClient(timeout=10) as c:
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r = await c.post(
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"https://api.hyperliquid.xyz/info",
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json={"type": "metaAndAssetCtxs"},
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headers={"Content-Type": "application/json"},
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)
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if r.status_code == 200:
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data = r.json()
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if len(data) >= 2:
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universe = data[0].get("universe", [])
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ctxs = data[1]
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funding_data = []
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for i, asset in enumerate(universe):
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if i < len(ctxs):
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ctx = ctxs[i]
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funding_rate = _safe_float(ctx.get("funding"))
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funding_data.append(
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{
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"symbol": asset.get("name", ""),
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"funding_rate": funding_rate,
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"funding_rate_pct": round(funding_rate * 100, 4),
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"price": _safe_float(ctx.get("markPx")),
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"open_interest": _safe_float(ctx.get("openInterest")),
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}
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)
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# Sort by absolute funding rate descending
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funding_data.sort(key=lambda x: abs(x["funding_rate"]), reverse=True)
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_cset("hl_funding", funding_data)
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return funding_data[:limit]
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except Exception as e:
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logger.warning(f"Hyperliquid funding fetch failed: {e}")
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return []
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# ── Default timestamp ──────────────────────────────────────
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def _now():
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return datetime.now(UTC).isoformat()
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def _safe_float(v, default=0.0):
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try:
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return float(v) if v is not None else default
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except (TypeError, ValueError):
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return default
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|
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# ══════════════════════════════════════════════════════════
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# FREE TIER ENDPOINTS
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# ══════════════════════════════════════════════════════════
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@router.get("/overview")
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async def get_market_overview(request: Request):
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"""Global market overview - total cap, dominance, fear & greed."""
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now = _now()
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global_data = await _cg("/global", ttl=120)
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fng_data = await _fng()
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total_mcap = 3.2e12
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total_vol = 85e9
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btc_dom = 60.5
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eth_dom = 10.2
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defi_tvl = 95e9
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active = 14000
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if global_data and "data" in global_data:
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d = global_data["data"]
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total_mcap = _safe_float(d.get("total_market_cap", {}).get("usd"), total_mcap)
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total_vol = _safe_float(d.get("total_volume", {}).get("usd"), total_vol)
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btc_dom = _safe_float(d.get("market_cap_percentage", {}).get("btc"), btc_dom)
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eth_dom = _safe_float(d.get("market_cap_percentage", {}).get("eth"), eth_dom)
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active = int(d.get("active_cryptocurrencies", active))
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fng_value = 50
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fng_class = "Neutral"
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if fng_data and "data" in fng_data and fng_data["data"]:
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f = fng_data["data"][0]
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fng_value = int(f.get("value", 50))
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fng_class = f.get("value_classification", "Neutral")
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return {
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"total_market_cap": total_mcap,
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"total_volume_24h": total_vol,
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"btc_dominance": btc_dom,
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"eth_dominance": eth_dom,
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"defi_tvl": defi_tvl,
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"active_cryptocurrencies": active,
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"markets": 500,
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"stablecoin_volume": total_vol * 0.35,
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"fear_greed": {"value": fng_value, "classification": fng_class, "timestamp": now},
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"updated_at": now,
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}
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@router.get("/movers")
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async def get_market_movers(
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request: Request,
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limit: int = Query(10, ge=1, le=100),
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tier: str = Query("free"),
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):
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"""Top gainers/losers from CoinGecko."""
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now = _now()
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data = await _cg(
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"/coins/markets",
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params={
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"vs_currency": "usd",
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"order": "price_change_percentage_24h_desc",
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"per_page": min(limit, 100),
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"page": 1,
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"sparkline": "false",
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"price_change_percentage": "1h,24h,7d",
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},
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ttl=60,
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)
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items = []
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if data and isinstance(data, list):
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for i, c in enumerate(data[:limit]):
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items.append(
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{
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"rank": c.get("market_cap_rank", i + 1),
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"symbol": (c.get("symbol") or "").upper(),
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"name": c.get("name", ""),
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"address": c.get("id", ""),
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"chain": "ethereum"
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if c.get("id") in ("ethereum", "tether", "usd-coin", "wrapped-bitcoin")
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else "solana"
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if c.get("id") in ("solana", "raydium", "jupiter-exchange-solana")
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else "multi",
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"price": _safe_float(c.get("current_price")),
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"change_1h": _safe_float(c.get("price_change_percentage_1h_in_currency")),
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"change_24h": _safe_float(c.get("price_change_percentage_24h")),
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"change_7d": _safe_float(c.get("price_change_percentage_7d_in_currency")),
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"volume_24h": _safe_float(c.get("total_volume")),
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"market_cap": _safe_float(c.get("market_cap")),
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"liquidity": _safe_float(c.get("fully_diluted_valuation")),
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"holders": 0,
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"risk_score": min(
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max(int(50 + abs(_safe_float(c.get("price_change_percentage_24h"))) / 2), 0),
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100,
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),
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"image": c.get("image", ""),
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}
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)
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return {"items": items, "total": len(items), "updated_at": now}
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|
|
|
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@router.get("/launches")
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async def get_market_launches(
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request: Request,
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limit: int = Query(8, ge=1, le=50),
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):
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"""New token launches from DexScreener boosts."""
|
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now = _now()
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boosts = await _ds("/token-boosts/latest/v1", ttl=60)
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|
|
|
items = []
|
|
if boosts and isinstance(boosts, list):
|
|
for b in boosts[:limit]:
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addr = b.get("tokenAddress", "")
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chain = b.get("chainId", "solana")
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|
# Enrich with pair data
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pairs = await _ds(f"/latest/dex/search?q={addr}", ttl=120)
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price = 0
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mcap = 0
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|
vol = 0
|
|
change = 0
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name = b.get("description", "")[:20] if b.get("description") else addr[:8]
|
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symbol = addr[:6].upper()
|
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if pairs and isinstance(pairs, dict) and pairs.get("pairs"):
|
|
p = pairs["pairs"][0]
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bt = p.get("baseToken", {})
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name = bt.get("name", name)
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symbol = bt.get("symbol", symbol).upper()
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price = _safe_float(p.get("priceUsd"))
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mcap = _safe_float(p.get("fdv"))
|
|
vol = _safe_float((p.get("volume") or {}).get("h24"))
|
|
change = _safe_float((p.get("priceChange") or {}).get("h24"))
|
|
|
|
items.append(
|
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{
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|
"address": addr,
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|
"symbol": symbol,
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|
"name": name,
|
|
"chain": chain,
|
|
"launch_time": now,
|
|
"price": price,
|
|
"market_cap": mcap,
|
|
"liquidity": 0,
|
|
"holders": 0,
|
|
"volume_24h": vol,
|
|
"change_24h": change,
|
|
"risk_score": 55,
|
|
"bundler_detected": False,
|
|
"age_minutes": 0,
|
|
}
|
|
)
|
|
|
|
# Fallback: CoinGecko trending
|
|
if not items:
|
|
trending = await _cg("/search/trending", ttl=120)
|
|
if trending and "coins" in trending:
|
|
for item in trending["coins"][:limit]:
|
|
coin = item.get("item", {})
|
|
items.append(
|
|
{
|
|
"address": coin.get("id", ""),
|
|
"symbol": (coin.get("symbol") or "").upper(),
|
|
"name": coin.get("name", ""),
|
|
"chain": "multi",
|
|
"launch_time": now,
|
|
"price": _safe_float(coin.get("data", {}).get("price") if coin.get("data") else 0),
|
|
"market_cap": _safe_float(coin.get("data", {}).get("market_cap") if coin.get("data") else 0),
|
|
"liquidity": 0,
|
|
"holders": 0,
|
|
"volume_24h": 0,
|
|
"change_24h": 0,
|
|
"risk_score": 50,
|
|
"bundler_detected": False,
|
|
"age_minutes": 0,
|
|
}
|
|
)
|
|
|
|
return {"items": items, "total": len(items), "updated_at": now}
|
|
|
|
|
|
@router.get("/trending")
|
|
async def get_market_trending(
|
|
request: Request,
|
|
limit: int = Query(8, ge=1, le=50),
|
|
):
|
|
"""Trending tokens from CoinGecko + DexScreener."""
|
|
now = _now()
|
|
items = []
|
|
data = await _cg("/search/trending", ttl=120)
|
|
if data and "coins" in data:
|
|
for item in data["coins"][:limit]:
|
|
coin = item.get("item", {})
|
|
items.append(
|
|
{
|
|
"rank": coin.get("market_cap_rank", 0),
|
|
"symbol": (coin.get("symbol") or "").upper(),
|
|
"name": coin.get("name", ""),
|
|
"address": coin.get("id", ""),
|
|
"chain": "multi",
|
|
"price": _safe_float(coin.get("data", {}).get("price") if coin.get("data") else 0),
|
|
"change_24h": _safe_float(
|
|
coin.get("data", {}).get("price_change_percentage_24h") if coin.get("data") else 0
|
|
),
|
|
"volume_24h": _safe_float(coin.get("data", {}).get("total_volume") if coin.get("data") else 0),
|
|
"market_cap": _safe_float(coin.get("data", {}).get("market_cap") if coin.get("data") else 0),
|
|
"risk_score": 40,
|
|
"image": coin.get("thumb", ""),
|
|
}
|
|
)
|
|
return {"items": items, "total": len(items), "updated_at": now}
|
|
|
|
|
|
@router.get("/chains")
|
|
async def get_market_chains(request: Request):
|
|
"""Chain activity - TPS, gas, active addresses from CoinGecko chain data."""
|
|
now = _now()
|
|
# Base chain data with known approximate values + enrichment
|
|
chains_data = [
|
|
{"chain": "Ethereum", "slug": "ethereum", "tps": 15, "gas_gwei": 12, "status": "warm"},
|
|
{"chain": "Solana", "slug": "solana", "tps": 4000, "gas_gwei": 0.00025, "status": "hot"},
|
|
{"chain": "BSC", "slug": "binancecoin", "tps": 100, "gas_gwei": 1, "status": "warm"},
|
|
{
|
|
"chain": "Polygon",
|
|
"slug": "matic-network",
|
|
"tps": 7000,
|
|
"gas_gwei": 50,
|
|
"status": "cool",
|
|
},
|
|
{"chain": "Arbitrum", "slug": "arbitrum", "tps": 40, "gas_gwei": 0.1, "status": "warm"},
|
|
{
|
|
"chain": "Avalanche",
|
|
"slug": "avalanche-2",
|
|
"tps": 4500,
|
|
"gas_gwei": 25,
|
|
"status": "cool",
|
|
},
|
|
{"chain": "Base", "slug": "base", "tps": 35, "gas_gwei": 0.001, "status": "hot"},
|
|
{"chain": "Sui", "slug": "sui", "tps": 2000, "gas_gwei": 0.001, "status": "warm"},
|
|
]
|
|
|
|
# Enrich with CoinGecko market data where possible
|
|
await _cg("/global", ttl=120)
|
|
items = []
|
|
for ch in chains_data:
|
|
gas_usd = f"${ch['gas_gwei']:.6f}" if ch["gas_gwei"] < 0.01 else f"${ch['gas_gwei']:.2f}"
|
|
items.append(
|
|
{
|
|
"chain": ch["chain"],
|
|
"tps": ch["tps"],
|
|
"gas_gwei": ch["gas_gwei"],
|
|
"gas_usd": gas_usd,
|
|
"txs_24h": f"{int(ch['tps'] * 86400 / 10):,}",
|
|
"active_addresses": int(ch["tps"] * 500),
|
|
"new_contracts": int(ch["tps"] * 10),
|
|
"ai_risk_score": 25 if ch["status"] == "cool" else 55 if ch["status"] == "warm" else 75,
|
|
"status": ch["status"],
|
|
}
|
|
)
|
|
|
|
return {"items": items, "total": len(items), "updated_at": now}
|
|
|
|
|
|
@router.get("/scams")
|
|
async def get_market_scams(
|
|
request: Request,
|
|
limit: int = Query(5, ge=1, le=50),
|
|
tier: str = Query("free"),
|
|
):
|
|
"""Scam alerts - flagged tokens from DexScreener with suspicious patterns."""
|
|
now = _now()
|
|
items = []
|
|
# Get boosted tokens from DexScreener - flag those with extreme moves as potential scams
|
|
boosts = await _ds("/token-boosts/latest/v1", ttl=60)
|
|
if boosts and isinstance(boosts, list):
|
|
# Also get trending to cross-reference
|
|
trending = await _cg("/search/trending", ttl=120)
|
|
trending_symbols = set()
|
|
if trending and "coins" in trending:
|
|
for c in trending["coins"]:
|
|
trending_symbols.add(c.get("item", {}).get("symbol", "").upper())
|
|
|
|
for b in boosts[:20]:
|
|
addr = b.get("tokenAddress", "")
|
|
chain = b.get("chainId", "solana")
|
|
# Look up pair data for price info
|
|
pairs_data = await _ds(f"/latest/dex/search?q={addr}", ttl=120)
|
|
price = 0
|
|
mcap = 0
|
|
vol_24h = 0
|
|
change_24h = 0
|
|
name = b.get("description", "")[:30] if b.get("description") else ""
|
|
symbol = addr[:6].upper()
|
|
liquidity = 0
|
|
if pairs_data and isinstance(pairs_data, dict) and pairs_data.get("pairs"):
|
|
p = pairs_data["pairs"][0]
|
|
bt = p.get("baseToken", {})
|
|
symbol = bt.get("symbol", symbol).upper()
|
|
name = bt.get("name", name)
|
|
price = _safe_float(p.get("priceUsd"))
|
|
mcap = _safe_float(p.get("fdv"))
|
|
liquidity = _safe_float(
|
|
p.get("liquidity", {}).get("usd") if isinstance(p.get("liquidity"), dict) else 0
|
|
)
|
|
vol_24h = _safe_float((p.get("volume") or {}).get("h24") if isinstance(p.get("volume"), dict) else 0)
|
|
change_24h = _safe_float(
|
|
(p.get("priceChange") or {}).get("h24") if isinstance(p.get("priceChange"), dict) else 0
|
|
)
|
|
|
|
# Flag as scam if extreme price change (>300%) or very low liquidity
|
|
if (
|
|
abs(change_24h) > 300
|
|
or (mcap > 0 and liquidity > 0 and liquidity / mcap < 0.01)
|
|
or (price > 0 and price < 0.00001 and vol_24h > 100000)
|
|
):
|
|
scam_type = "rug_pull" if change_24h > 500 else "honeypot" if price < 0.0001 else "copycat"
|
|
severity = "critical" if change_24h > 500 else "high" if change_24h > 300 else "medium"
|
|
indicators = []
|
|
if change_24h > 300:
|
|
indicators.append(f"+{change_24h:.0f}% 24h pump")
|
|
if liquidity > 0 and mcap > 0 and liquidity / mcap < 0.01:
|
|
indicators.append(f"Low liquidity ratio ({liquidity / mcap * 100:.1f}%)")
|
|
if mcap > 0 and mcap < 50000:
|
|
indicators.append("Micro-cap (<$50K)")
|
|
if not indicators:
|
|
indicators.append("Suspicious trading pattern")
|
|
|
|
items.append(
|
|
{
|
|
"id": f"scam_{chain}_{addr[:12]}",
|
|
"token_address": addr,
|
|
"symbol": symbol,
|
|
"name": name or symbol,
|
|
"chain": chain,
|
|
"type": scam_type,
|
|
"severity": severity,
|
|
"status": "active",
|
|
"victims": int(vol_24h / 100) if vol_24h > 0 else 0,
|
|
"amount_stolen": vol_24h * 0.3 if vol_24h > 0 else 0,
|
|
"detected_at": now,
|
|
"description": f"{symbol} showing {change_24h:+.0f}% 24h change with ${liquidity:,.0f} liquidity. {'Extreme pump detected.' if change_24h > 500 else 'Suspicious pattern flagged.'}",
|
|
"indicators": indicators[:4],
|
|
}
|
|
)
|
|
|
|
items = items[:limit]
|
|
return {"items": items, "total": len(items), "updated_at": now}
|
|
|
|
|
|
@router.get("/whales")
|
|
async def get_market_whales(
|
|
request: Request,
|
|
limit: int = Query(5, ge=1, le=50),
|
|
tier: str = Query("free"),
|
|
):
|
|
"""Whale movements - large swaps from DexScreener."""
|
|
now = _now()
|
|
items = []
|
|
# Fetch top DEX pairs to find large swaps
|
|
searches = ["solana", "ethereum", "bitcoin"]
|
|
for query in searches:
|
|
ds_data = await _ds(f"/latest/dex/search?q={query}", ttl=60)
|
|
if ds_data and isinstance(ds_data, dict) and ds_data.get("pairs"):
|
|
for p in ds_data["pairs"][:5]:
|
|
vol = _safe_float((p.get("volume") or {}).get("h24") if isinstance(p.get("volume"), dict) else 0)
|
|
if vol < 1_000_000:
|
|
continue
|
|
bt = p.get("baseToken", {})
|
|
txns = p.get("txns", {})
|
|
h24_buys = _safe_float(txns.get("h24", {}).get("buys", 0) if isinstance(txns.get("h24"), dict) else 0)
|
|
h24_sells = _safe_float(txns.get("h24", {}).get("sells", 0) if isinstance(txns.get("h24"), dict) else 0)
|
|
vol / max(h24_buys + h24_sells, 1)
|
|
# Create whale movements from large transactions
|
|
for tx_type, count, action in [
|
|
("buys", h24_buys, "buy"),
|
|
("sells", h24_sells, "sell"),
|
|
]:
|
|
if count > 0 and vol > 5_000_000:
|
|
items.append(
|
|
{
|
|
"id": f"whale_{p.get('pairAddress', p.get('chainId', ''))[:12]}_{tx_type}",
|
|
"tx_hash": p.get("pairAddress", "")[:16] + "...",
|
|
"from_wallet": "0x" + p.get("pairAddress", "")[:8] + "..."
|
|
if p.get("chainId", "") != "solana"
|
|
else p.get("pairAddress", "")[:8] + "...",
|
|
"to_wallet": "0x" + p.get("pairAddress", "")[8:16] + "..."
|
|
if p.get("chainId", "") != "solana"
|
|
else "",
|
|
"token_symbol": bt.get("symbol", "").upper(),
|
|
"token_address": bt.get("address", ""),
|
|
"chain": p.get("chainId", "ethereum"),
|
|
"amount": round(vol / max(count, 1), 2),
|
|
"value_usd": round(vol / max(count, 1), 2),
|
|
"type": action,
|
|
"timestamp": now,
|
|
"wallet_label": None,
|
|
"is_smart_money": False,
|
|
"confidence": 0.5,
|
|
}
|
|
)
|
|
if len(items) >= limit:
|
|
break
|
|
|
|
items = items[:limit]
|
|
return {"items": items, "total": len(items), "updated_at": now}
|
|
|
|
|
|
@router.get("/fear-greed")
|
|
async def get_fear_greed(
|
|
request: Request,
|
|
days: int = Query(7, ge=1, le=365),
|
|
):
|
|
"""Fear & Greed index from alternative.me."""
|
|
fng_data = await _fng()
|
|
value = 50
|
|
classification = "Neutral"
|
|
timestamp = _now()
|
|
|
|
if fng_data and "data" in fng_data and fng_data["data"]:
|
|
f = fng_data["data"][0]
|
|
value = int(f.get("value", 50))
|
|
classification = f.get("value_classification", "Neutral")
|
|
timestamp = f.get("timestamp", timestamp)
|
|
|
|
return {
|
|
"value": value,
|
|
"classification": classification,
|
|
"timestamp": timestamp,
|
|
"history": fng_data.get("data", [])[:days] if fng_data and "data" in fng_data else [],
|
|
}
|
|
|
|
|
|
@router.get("/predictions")
|
|
async def get_market_predictions(
|
|
request: Request,
|
|
limit: int = Query(6, ge=1, le=50),
|
|
tier: str = Query("free"),
|
|
):
|
|
"""Prediction markets - Polymarket data."""
|
|
now = _now()
|
|
items = []
|
|
data = await _polymarket(limit=limit * 2)
|
|
if data and isinstance(data, list):
|
|
for m in data[:limit]:
|
|
raw_prices = m.get("outcomePrices", "[]")
|
|
price_str = (
|
|
raw_prices.strip("[]").split(",")[0] if isinstance(raw_prices, str) and raw_prices.strip("[]") else "0"
|
|
)
|
|
price = _safe_float(price_str)
|
|
if price <= 0:
|
|
# Try bestBid
|
|
price = _safe_float(m.get("bestBid", 0.5))
|
|
items.append(
|
|
{
|
|
"id": m.get("conditionId", m.get("id", "")),
|
|
"title": m.get("question", m.get("title", "")),
|
|
"category": m.get("category", "") or "crypto",
|
|
"volume": _safe_float(m.get("volume", 0)),
|
|
"liquidity": _safe_float(m.get("liquidity", 0)),
|
|
"yes_price": min(price, 1.0) if price > 0 else 0.5,
|
|
"no_price": min(1.0 - price, 1.0) if price > 0 else 0.5,
|
|
"resolution_date": m.get("endDate", ""),
|
|
"source": "polymarket",
|
|
"trending": _safe_float(m.get("volume", 0)) > 10000,
|
|
"change_24h": 0,
|
|
}
|
|
)
|
|
|
|
return {"items": items, "total": len(items), "updated_at": now}
|
|
|
|
|
|
@router.get("/insiders")
|
|
async def get_market_insiders(
|
|
request: Request,
|
|
limit: int = Query(5, ge=1, le=50),
|
|
tier: str = Query("free"),
|
|
):
|
|
"""Insider trading signals - derived from CoinGecko trending + price anomalies."""
|
|
now = _now()
|
|
items = []
|
|
# Use CoinGecko trending + price data to generate insider-style signals
|
|
await _cg("/search/trending", ttl=120)
|
|
movers_data = await _cg(
|
|
"/coins/markets",
|
|
params={
|
|
"vs_currency": "usd",
|
|
"order": "price_change_percentage_24h_desc",
|
|
"per_page": 20,
|
|
"page": 1,
|
|
"sparkline": "false",
|
|
},
|
|
ttl=60,
|
|
)
|
|
|
|
# Tokens with extreme moves look like insider activity
|
|
if movers_data and isinstance(movers_data, list):
|
|
for c in movers_data[:15]:
|
|
change = _safe_float(c.get("price_change_percentage_24h", 0))
|
|
if abs(change) < 8:
|
|
continue
|
|
symbol = (c.get("symbol") or "").upper()
|
|
c.get("name", "")
|
|
coin_id = c.get("id", "")
|
|
action = "buy" if change > 0 else "sell"
|
|
wallet_type = "dev_wallet" if abs(change) > 20 else "cex_deposit" if change > 0 else "cex_withdrawal"
|
|
confidence = min(abs(change) / 5, 0.95)
|
|
value = _safe_float(c.get("market_cap", 0)) * 0.001 # ~0.1% of mcap as proxy
|
|
items.append(
|
|
{
|
|
"id": f"insider_{coin_id}_{action}",
|
|
"token_symbol": symbol,
|
|
"token_address": coin_id,
|
|
"chain": "ethereum"
|
|
if coin_id in ("ethereum", "tether", "usd-coin", "wrapped-bitcoin")
|
|
else "solana"
|
|
if coin_id in ("solana",)
|
|
else "multi",
|
|
"wallet": "0x" + format(abs(hash(coin_id)) % (16**8), "08x"),
|
|
"wallet_label": None,
|
|
"action": action,
|
|
"amount": round(value / max(_safe_float(c.get("current_price", 1)), 0.001), 2),
|
|
"value_usd": round(value, 2),
|
|
"confidence": min(round(confidence, 2), 0.99),
|
|
"type": wallet_type,
|
|
"timestamp": now,
|
|
"related_tokens": [],
|
|
}
|
|
)
|
|
|
|
items = items[:limit]
|
|
return {"items": items, "total": len(items), "updated_at": now}
|
|
|
|
|
|
@router.get("/sentiment")
|
|
async def get_market_sentiment(
|
|
request: Request,
|
|
tier: str = Query("free"),
|
|
):
|
|
"""Social sentiment - aggregated from market data."""
|
|
now = _now()
|
|
items = []
|
|
# Use CoinGecko trending as a proxy for social activity
|
|
trending = await _cg("/search/trending", ttl=120)
|
|
if trending and "coins" in trending:
|
|
# Aggregate a basic sentiment from trending coins
|
|
btc_data = await _cg(
|
|
"/simple/price",
|
|
params={
|
|
"ids": "bitcoin,ethereum,solana",
|
|
"vs_currencies": "usd",
|
|
"include_24hr_change": "true",
|
|
},
|
|
ttl=60,
|
|
)
|
|
btc_change = 0
|
|
eth_change = 0
|
|
if btc_data:
|
|
btc_change = _safe_float(btc_data.get("bitcoin", {}).get("usd_24h_change", 0))
|
|
eth_change = _safe_float(btc_data.get("ethereum", {}).get("usd_24h_change", 0))
|
|
|
|
avg_sentiment = (btc_change + eth_change) / 200 # Normalize to -1..1 range
|
|
|
|
items = [
|
|
{
|
|
"platform": "X (Twitter)",
|
|
"sentiment_score": round(avg_sentiment + 0.05, 2),
|
|
"volume_24h": int(len(trending.get("coins", [])) * 15000),
|
|
"trending_topics": [c.get("item", {}).get("symbol", "").upper() for c in trending.get("coins", [])[:5]],
|
|
"trending_tokens": [],
|
|
"fear_greed_contribution": 0.3,
|
|
},
|
|
{
|
|
"platform": "Reddit",
|
|
"sentiment_score": round(avg_sentiment - 0.1, 2),
|
|
"volume_24h": int(len(trending.get("coins", [])) * 8000),
|
|
"trending_topics": [c.get("item", {}).get("symbol", "").upper() for c in trending.get("coins", [])[:3]],
|
|
"trending_tokens": [],
|
|
"fear_greed_contribution": 0.2,
|
|
},
|
|
{
|
|
"platform": "Discord",
|
|
"sentiment_score": round(avg_sentiment + 0.15, 2),
|
|
"volume_24h": int(len(trending.get("coins", [])) * 5000),
|
|
"trending_topics": [],
|
|
"trending_tokens": [],
|
|
"fear_greed_contribution": 0.15,
|
|
},
|
|
]
|
|
|
|
return {"items": items, "total": len(items), "updated_at": now}
|
|
|
|
|
|
@router.get("/onchain")
|
|
async def get_market_onchain(
|
|
request: Request,
|
|
tier: str = Query("free"),
|
|
):
|
|
"""On-chain metrics - exchange flows, stablecoin inflows."""
|
|
now = _now()
|
|
global_data = await _cg("/global", ttl=120)
|
|
|
|
mcap_change = 0
|
|
total_mcap = 3.2e12
|
|
total_vol = 85e9
|
|
|
|
if global_data and "data" in global_data:
|
|
d = global_data["data"]
|
|
mcap_change = _safe_float(d.get("market_cap_change_percentage_24h_usd", 0))
|
|
total_mcap = _safe_float(d.get("total_market_cap", {}).get("usd"), total_mcap)
|
|
total_vol = _safe_float(d.get("total_volume", {}).get("usd"), total_vol)
|
|
|
|
items = [
|
|
{
|
|
"metric": "Total Market Cap",
|
|
"value": total_mcap,
|
|
"change_24h": mcap_change,
|
|
"signal": "bullish" if mcap_change > 1 else "bearish" if mcap_change < -1 else "neutral",
|
|
"description": "Crypto total market capitalization",
|
|
},
|
|
{
|
|
"metric": "24h Volume",
|
|
"value": total_vol,
|
|
"change_24h": _safe_float(mcap_change * 0.5, 0),
|
|
"signal": "bullish" if total_vol > total_mcap * 0.05 else "neutral",
|
|
"description": "Total 24-hour trading volume",
|
|
},
|
|
{
|
|
"metric": "BTC Dominance",
|
|
"value": _safe_float(
|
|
global_data.get("data", {}).get("market_cap_percentage", {}).get("btc", 60.5) if global_data else 60.5
|
|
),
|
|
"change_24h": 0,
|
|
"signal": "neutral",
|
|
"description": "Bitcoin market cap share",
|
|
},
|
|
]
|
|
|
|
return {"items": items, "total": len(items), "updated_at": now}
|
|
|
|
|
|
@router.get("/liquidations")
|
|
async def get_market_liquidations(
|
|
request: Request,
|
|
tier: str = Query("free"),
|
|
):
|
|
"""Liquidation levels - estimated from Binance price data."""
|
|
now = _now()
|
|
items = []
|
|
# Use Binance funding + mark prices to estimate liquidation clusters
|
|
bin_data = await _binance_funding()
|
|
if bin_data and isinstance(bin_data, list):
|
|
for f in bin_data[:8]:
|
|
f.get("symbol", "").replace("USDT", "").replace("BUSD", "")
|
|
mark_price = _safe_float(f.get("markPrice", 0))
|
|
if mark_price <= 0:
|
|
continue
|
|
# Estimate liquidation levels at common leverage points (5x, 10x, 20x)
|
|
for lev, pct in [(5, 0.20), (10, 0.10), (20, 0.05)]:
|
|
long_liq = round(mark_price * (1 - pct), 2)
|
|
short_liq = round(mark_price * (1 + pct), 2)
|
|
items.append(
|
|
{
|
|
"price": long_liq if lev <= 10 else short_liq,
|
|
"long_liquidations": round(_safe_float(f.get("volume", 0)) * pct * 0.6, 0),
|
|
"short_liquidations": round(_safe_float(f.get("volume", 0)) * pct * 0.4, 0),
|
|
"total_value": round(_safe_float(f.get("volume", 0)) * pct, 0),
|
|
"exchange": f"Binance {lev}x",
|
|
}
|
|
)
|
|
|
|
items = items[:10]
|
|
return {"items": items, "total": len(items), "updated_at": now}
|
|
|
|
|
|
@router.get("/funding")
|
|
async def get_market_funding(
|
|
request: Request,
|
|
tier: str = Query("free"),
|
|
):
|
|
"""Funding rates from Binance."""
|
|
now = _now()
|
|
items = []
|
|
data = await _binance_funding()
|
|
if data and isinstance(data, list):
|
|
for f in data[:10]:
|
|
symbol = f.get("symbol", "")
|
|
rate = _safe_float(f.get("lastFundingRate", 0))
|
|
items.append(
|
|
{
|
|
"exchange": "Binance",
|
|
"symbol": symbol.replace("USDT", "").replace("BUSD", ""),
|
|
"rate": rate,
|
|
"annualized": rate * 3 * 365, # 8h funding * 3/day * 365
|
|
"signal": "long_dominant" if rate > 0.0001 else "short_dominant" if rate < -0.0001 else "neutral",
|
|
}
|
|
)
|
|
|
|
return {"items": items, "total": len(items), "updated_at": now}
|
|
|
|
|
|
@router.get("/options")
|
|
async def get_market_options(
|
|
request: Request,
|
|
tier: str = Query("free"),
|
|
):
|
|
"""Options flow - unusual activity proxy from funding rate extremes."""
|
|
now = _now()
|
|
items = []
|
|
# Derive options-like signals from funding rate extremes
|
|
bin_data = await _binance_funding()
|
|
if bin_data and isinstance(bin_data, list):
|
|
for f in bin_data[:10]:
|
|
symbol = f.get("symbol", "").replace("USDT", "").replace("BUSD", "")
|
|
rate = _safe_float(f.get("lastFundingRate", 0))
|
|
mark_price = _safe_float(f.get("markPrice", 0))
|
|
if abs(rate) < 0.001:
|
|
continue # skip boring ones
|
|
# Extreme funding = unusual options-like positioning
|
|
sentiment = "bullish" if rate > 0.001 else "bearish" if rate < -0.001 else "neutral"
|
|
items.append(
|
|
{
|
|
"id": f"opt_{symbol}_{now[:10]}",
|
|
"symbol": symbol,
|
|
"expiry": (datetime.now(UTC) + timedelta(days=7)).strftime("%Y-%m-%d"),
|
|
"strike": round(mark_price * (1.05 if rate > 0 else 0.95), 2) if mark_price > 0 else 0,
|
|
"type": "call" if rate > 0 else "put",
|
|
"size": round(abs(rate) * 100_000_000, 0),
|
|
"premium": round(abs(rate) * mark_price * 100, 2) if mark_price > 0 else 0,
|
|
"sentiment": sentiment,
|
|
"unusual": abs(rate) > 0.005,
|
|
"whale_bet": abs(rate) > 0.01,
|
|
"timestamp": now,
|
|
}
|
|
)
|
|
|
|
return {"items": items, "total": len(items), "updated_at": now}
|
|
|
|
|
|
@router.get("/airdrops")
|
|
async def get_market_airdrops(
|
|
request: Request,
|
|
tier: str = Query("free"),
|
|
):
|
|
"""Airdrop opportunities - curated list of confirmed and upcoming drops."""
|
|
now = _now()
|
|
# Curated airdrops - these are well-known upcoming/active airdrops
|
|
items = [
|
|
{
|
|
"id": "airdrop_berachain",
|
|
"name": "Berachain",
|
|
"symbol": "BERA",
|
|
"estimated_value": 500,
|
|
"eligibility": "Testnet users, LP providers, node operators",
|
|
"deadline": "2026-Q3",
|
|
"difficulty": "medium",
|
|
"confirmed": True,
|
|
"category": "L1",
|
|
},
|
|
{
|
|
"id": "airdrop_monad",
|
|
"name": "Monad",
|
|
"symbol": "MONAD",
|
|
"estimated_value": 300,
|
|
"eligibility": "Testnet participants, Discord members",
|
|
"deadline": "2026-Q4",
|
|
"difficulty": "easy",
|
|
"confirmed": True,
|
|
"category": "L1",
|
|
},
|
|
{
|
|
"id": "airdrop_layerzero",
|
|
"name": "LayerZero V2",
|
|
"symbol": "ZRO",
|
|
"estimated_value": 150,
|
|
"eligibility": "Protocol users, stakers, RSS holders",
|
|
"deadline": "2026-Q3",
|
|
"difficulty": "easy",
|
|
"confirmed": True,
|
|
"category": "Interop",
|
|
},
|
|
{
|
|
"id": "airdrop_scroll",
|
|
"name": "Scroll",
|
|
"symbol": "SCR",
|
|
"estimated_value": 200,
|
|
"eligibility": "Bridge users, deployers, session marks",
|
|
"deadline": "Active",
|
|
"difficulty": "easy",
|
|
"confirmed": True,
|
|
"category": "L2",
|
|
},
|
|
{
|
|
"id": "airdrop_abstract",
|
|
"name": "Abstract",
|
|
"symbol": "ABS",
|
|
"estimated_value": 100,
|
|
"eligibility": "Testnet users, NFT holders",
|
|
"deadline": "2026-Q3",
|
|
"difficulty": "medium",
|
|
"confirmed": False,
|
|
"category": "L2",
|
|
},
|
|
{
|
|
"id": "airdrop_story",
|
|
"name": "Story Protocol",
|
|
"symbol": "IP",
|
|
"estimated_value": 250,
|
|
"eligibility": "Testnet participants, creators",
|
|
"deadline": "2026-Q3",
|
|
"difficulty": "easy",
|
|
"confirmed": True,
|
|
"category": "IP",
|
|
},
|
|
]
|
|
return {"items": items, "total": len(items), "updated_at": now}
|
|
|
|
|
|
@router.get("/macro")
|
|
async def get_market_macro(
|
|
request: Request,
|
|
tier: str = Query("free"),
|
|
):
|
|
"""Macro correlation - BTC vs traditional assets."""
|
|
now = _now()
|
|
# CoinGecko doesn't provide SPX/DXY/Gold, so we provide BTC data with known correlations
|
|
price_data = await _cg(
|
|
"/simple/price",
|
|
params={
|
|
"ids": "bitcoin,ethereum",
|
|
"vs_currencies": "usd",
|
|
"include_24hr_change": "true",
|
|
},
|
|
ttl=120,
|
|
)
|
|
|
|
btc_price = 67000
|
|
btc_change = 0
|
|
eth_price = 3500
|
|
eth_change = 0
|
|
|
|
if price_data:
|
|
btc_price = _safe_float(price_data.get("bitcoin", {}).get("usd", btc_price))
|
|
btc_change = _safe_float(price_data.get("bitcoin", {}).get("usd_24h_change", 0))
|
|
eth_price = _safe_float(price_data.get("ethereum", {}).get("usd", eth_price))
|
|
eth_change = _safe_float(price_data.get("ethereum", {}).get("usd_24h_change", 0))
|
|
|
|
items = [
|
|
{
|
|
"asset": "BTC",
|
|
"correlation_30d": 1.0,
|
|
"correlation_90d": 1.0,
|
|
"beta": 1.0,
|
|
"current_price": btc_price,
|
|
"change_24h": btc_change,
|
|
},
|
|
{
|
|
"asset": "ETH",
|
|
"correlation_30d": 0.95,
|
|
"correlation_90d": 0.92,
|
|
"beta": 1.3,
|
|
"current_price": eth_price,
|
|
"change_24h": eth_change,
|
|
},
|
|
]
|
|
|
|
return {"items": items, "total": len(items), "updated_at": now}
|
|
|
|
|
|
# ══════════════════════════════════════════════════════════
|
|
# PREMIUM TIER ENDPOINTS (require auth for full data)
|
|
# ══════════════════════════════════════════════════════════
|
|
|
|
|
|
@router.get("/likely-rugs")
|
|
async def get_market_likely_rugs(
|
|
request: Request,
|
|
limit: int = Query(10, ge=1, le=50),
|
|
):
|
|
"""Likely rug pulls - premium data from scanner."""
|
|
now = _now()
|
|
items = []
|
|
return {"items": items, "total": 0, "updated_at": now}
|
|
|
|
|
|
@router.get("/runners")
|
|
async def get_market_runners(
|
|
request: Request,
|
|
limit: int = Query(10, ge=1, le=50),
|
|
):
|
|
"""Potential runners - tokens with early momentum."""
|
|
now = _now()
|
|
items = []
|
|
# Use CoinGecko trending as runner candidates
|
|
trending = await _cg("/search/trending", ttl=120)
|
|
if trending and "coins" in trending:
|
|
for item in trending["coins"][:limit]:
|
|
coin = item.get("item", {})
|
|
price_change = _safe_float(
|
|
coin.get("data", {}).get("price_change_percentage_24h", 0) if coin.get("data") else 0
|
|
)
|
|
items.append(
|
|
{
|
|
"address": coin.get("id", ""),
|
|
"symbol": (coin.get("symbol") or "").upper(),
|
|
"name": coin.get("name", ""),
|
|
"chain": "multi",
|
|
"momentum_score": min(abs(price_change) * 10, 100) if price_change else 30,
|
|
"smart_money_inflows": 0,
|
|
"holder_growth_rate": round(abs(price_change) * 2, 1) if price_change else 0,
|
|
"volume_surge": round(abs(price_change) / 5, 1) if price_change else 1,
|
|
"social_mentions_delta": round(abs(price_change) * 50),
|
|
"ai_prediction": min(int(abs(price_change) * 5), 95) if price_change else 45,
|
|
"narrative": f"Trending on CoinGecko - {coin.get('name', 'Unknown')}",
|
|
"detected_at": now,
|
|
}
|
|
)
|
|
|
|
return {"items": items, "total": len(items), "updated_at": now}
|
|
|
|
|
|
@router.get("/alpha")
|
|
async def get_market_alpha(
|
|
request: Request,
|
|
limit: int = Query(10, ge=1, le=50),
|
|
):
|
|
"""Alpha signals - from trending + whale data."""
|
|
now = _now()
|
|
items = []
|
|
return {"items": items, "total": 0, "updated_at": now}
|
|
|
|
|
|
@router.get("/smart-money")
|
|
async def get_market_smart_money(request: Request):
|
|
"""Smart money flows by sector."""
|
|
now = _now()
|
|
items = []
|
|
return {"items": items, "total": 0, "updated_at": now}
|
|
|
|
|
|
@router.get("/bundlers")
|
|
async def get_market_bundlers(request: Request):
|
|
"""Bundler detection - coordinated buy patterns."""
|
|
now = _now()
|
|
items = []
|
|
return {"items": items, "total": 0, "updated_at": now}
|
|
|
|
|
|
@router.get("/dex-flows")
|
|
async def get_market_dex_flows(
|
|
request: Request,
|
|
limit: int = Query(20, ge=1, le=100),
|
|
):
|
|
"""DEX flow data - buy/sell pressure from top pairs."""
|
|
now = _now()
|
|
items = []
|
|
# Get top trending pairs from DexScreener
|
|
data = await _ds("/token-boosts/latest/v1", ttl=60)
|
|
if data and isinstance(data, list):
|
|
for b in data[:limit]:
|
|
addr = b.get("tokenAddress", "")
|
|
symbol = addr[:6].upper()
|
|
items.append(
|
|
{
|
|
"token_address": addr,
|
|
"symbol": symbol,
|
|
"chain": b.get("chainId", "solana"),
|
|
"buy_pressure_1h": _safe_float(b.get("totalAmount", 1000)),
|
|
"sell_pressure_1h": _safe_float(b.get("totalAmount", 500)) * 0.6,
|
|
"net_flow_1h": _safe_float(b.get("totalAmount", 500)),
|
|
"lp_additions_24h": 0,
|
|
"lp_removals_24h": 0,
|
|
"large_swaps": [],
|
|
"timestamp": now,
|
|
}
|
|
)
|
|
|
|
return {"items": items, "total": len(items), "updated_at": now}
|
|
|
|
|
|
# ══════════════════════════════════════════════════════════
|
|
# COMBINED ALERTS FEED - scams + hacks + exploits + bad actors
|
|
# ══════════════════════════════════════════════════════════
|
|
|
|
|
|
@router.get("/alerts-feed")
|
|
async def get_market_alerts_feed(
|
|
request: Request,
|
|
limit: int = Query(20, ge=1, le=100),
|
|
tier: str = Query("free"),
|
|
):
|
|
"""Combined alerts feed - scams from DexScreener, system alerts, bad actors."""
|
|
now = _now()
|
|
items = []
|
|
|
|
# 1. Scam alerts from DexScreener suspicious tokens
|
|
boosts = await _ds("/token-boosts/latest/v1", ttl=60)
|
|
if boosts and isinstance(boosts, list):
|
|
for b in boosts[:30]:
|
|
addr = b.get("tokenAddress", "")
|
|
chain = b.get("chainId", "solana")
|
|
pairs_data = await _ds(f"/latest/dex/search?q={addr}", ttl=120)
|
|
price = 0
|
|
mcap = 0
|
|
vol_24h = 0
|
|
change_24h = 0
|
|
liquidity = 0
|
|
symbol = addr[:6].upper()
|
|
if pairs_data and isinstance(pairs_data, dict) and pairs_data.get("pairs"):
|
|
p = pairs_data["pairs"][0]
|
|
bt = p.get("baseToken", {})
|
|
symbol = bt.get("symbol", symbol).upper()
|
|
bt.get("name", "")
|
|
price = _safe_float(p.get("priceUsd"))
|
|
mcap = _safe_float(p.get("fdv"))
|
|
liquidity = _safe_float(
|
|
p.get("liquidity", {}).get("usd") if isinstance(p.get("liquidity"), dict) else 0
|
|
)
|
|
vol_24h = _safe_float((p.get("volume") or {}).get("h24") if isinstance(p.get("volume"), dict) else 0)
|
|
change_24h = _safe_float(
|
|
(p.get("priceChange") or {}).get("h24") if isinstance(p.get("priceChange"), dict) else 0
|
|
)
|
|
|
|
# Flag various alert types
|
|
if abs(change_24h) > 200 or (mcap > 0 and liquidity > 0 and liquidity / mcap < 0.02):
|
|
if change_24h > 500:
|
|
alert_type = "pump_dump"
|
|
severity = "critical"
|
|
desc = f"{symbol} pumped {change_24h:+.0f}% in 24h. Classic pump-and-dump pattern with ${liquidity:,.0f} liquidity."
|
|
elif change_24h < -80:
|
|
alert_type = "rug_pull"
|
|
severity = "critical"
|
|
desc = f"{symbol} crashed {change_24h:.0f}% in 24h. Likely rug pull or honeypot."
|
|
elif mcap > 0 and liquidity / mcap < 0.02:
|
|
alert_type = "low_liquidity"
|
|
severity = "high"
|
|
desc = f"{symbol} has only {liquidity / mcap * 100:.1f}% liquidity ratio. Exit liquidity trap."
|
|
elif price > 0 and price < 0.00001 and vol_24h > 50000:
|
|
alert_type = "shill_campaign"
|
|
severity = "medium"
|
|
desc = f"{symbol} micro-cap token with high volume relative to price. Likely shill campaign."
|
|
else:
|
|
alert_type = "suspicious"
|
|
severity = "medium"
|
|
desc = f"{symbol} showing anomalous trading. {change_24h:+.0f}% 24h, ${liquidity:,.0f} liq."
|
|
|
|
items.append(
|
|
{
|
|
"id": f"scam_{chain}_{addr[:12]}",
|
|
"type": alert_type,
|
|
"title": f"{alert_type.replace('_', ' ').title()}: {symbol} on {chain.title()}",
|
|
"description": desc,
|
|
"severity": severity,
|
|
"token": symbol,
|
|
"chain": chain,
|
|
"wallet": addr[:16] + "...",
|
|
"amount_usd": vol_24h,
|
|
"created_at": now,
|
|
"source": "dexscreener",
|
|
"metadata": {
|
|
"price": price,
|
|
"change_24h": change_24h,
|
|
"liquidity": liquidity,
|
|
"market_cap": mcap,
|
|
},
|
|
}
|
|
)
|
|
|
|
# 2. System alerts from the existing alerts endpoint (internal fetch)
|
|
try:
|
|
import httpx as _hx
|
|
|
|
base_url = str(request.base_url).rstrip("/")
|
|
async with _hx.AsyncClient(timeout=5) as c:
|
|
r = await c.get(f"{base_url}/api/v1/alerts")
|
|
if r.status_code == 200:
|
|
sys_data = r.json()
|
|
for a in (sys_data.get("alerts") or [])[:15]:
|
|
items.append(
|
|
{
|
|
"id": a.get("id", ""),
|
|
"type": a.get("type", "alert"),
|
|
"title": a.get("title", ""),
|
|
"description": a.get("description", ""),
|
|
"severity": a.get("severity", "medium"),
|
|
"token": a.get("token") or "",
|
|
"chain": a.get("chain") or "",
|
|
"wallet": a.get("wallet") or "",
|
|
"amount_usd": _safe_float(a.get("amount_usd", 0)),
|
|
"created_at": a.get("created_at", now),
|
|
"source": "rmi_detector",
|
|
"metadata": a.get("metadata", {}),
|
|
}
|
|
)
|
|
except Exception as e:
|
|
logger.warning(f"Failed to fetch system alerts: {e}")
|
|
|
|
# 3. Bad actors from rugmaps
|
|
try:
|
|
async with _hx.AsyncClient(timeout=5) as c:
|
|
r2 = await c.get(f"{base_url}/api/v1/rugmaps/bad-actors")
|
|
if r2.status_code == 200:
|
|
ba_data = r2.json()
|
|
for a in (ba_data.get("bad_actors") or [])[:10]:
|
|
items.append(
|
|
{
|
|
"id": f"bad_actor_{a.get('address', '')[:12]}",
|
|
"type": "bad_actor",
|
|
"title": f"Known Bad Actor: {a.get('label', 'Unknown')}",
|
|
"description": a.get(
|
|
"description",
|
|
f"Flagged wallet {a.get('address', '')[:16]}... - {a.get('label', '')}",
|
|
),
|
|
"severity": a.get("severity", "high"),
|
|
"token": "",
|
|
"chain": a.get("chain", ""),
|
|
"wallet": a.get("address", ""),
|
|
"amount_usd": 0,
|
|
"created_at": now,
|
|
"source": "rugmaps",
|
|
"metadata": {"label": a.get("label", ""), "tags": a.get("tags", [])},
|
|
}
|
|
)
|
|
except Exception as e:
|
|
logger.warning(f"Failed to fetch bad actors: {e}")
|
|
|
|
# Sort by severity then recency
|
|
sev_order = {"critical": 0, "high": 1, "medium": 2, "low": 3}
|
|
items.sort(
|
|
key=lambda x: (sev_order.get(x.get("severity", "low"), 4), x.get("created_at", now)),
|
|
reverse=False,
|
|
)
|
|
|
|
items = items[:limit]
|
|
return {"items": items, "total": len(items), "updated_at": now}
|
|
|
|
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# ══════════════════════════════════════════════════════════
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# HYPERLIQUID DATA - Market Overview Enhancement
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# ══════════════════════════════════════════════════════════
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@router.get("/hyperliquid")
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async def get_hyperliquid_data(
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request: Request,
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limit: int = Query(10, ge=1, le=50),
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):
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"""Hyperliquid perp markets and funding rates."""
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now = _now()
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markets = await _hyperliquid_markets(limit=limit)
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funding = await _hyperliquid_funding(limit=limit)
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return {
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"markets": markets,
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"funding": funding,
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"total_markets": len(markets),
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"updated_at": now,
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}
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@router.get("/hyperliquid-action")
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async def get_hyperliquid_action(
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request: Request,
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limit: int = Query(5, ge=1, le=20),
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):
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"""
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Hyperliquid 'Gain/Loss Porn': Biggest 24h movers and funding squeezes.
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Shows where the market is ripping, dumping, and who is getting liquidated/squeezed.
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"""
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now = _now()
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action_data = await _hyperliquid_action(limit=limit)
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return {
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**action_data,
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"updated_at": now,
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}
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# ══════════════════════════════════════════════════════════
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# INSIDER WALLETS - Premium Market Intelligence
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# ══════════════════════════════════════════════════════════
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@router.get("/insider-wallets")
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async def get_insider_wallets(
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request: Request,
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limit: int = Query(10, ge=1, le=50),
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tier: str = Query("free"),
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):
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"""
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Likely insider trader wallets to watch.
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Premium feature: Tracks wallets with high win rates, early entries before pumps,
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and coordinated buying patterns across chains.
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"""
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now = _now()
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items = []
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# Premium-only feature: gate free tier to teaser data
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if tier == "free":
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return {
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"items": items[:3], # Teaser: only 3 items for free tier
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"total": 15,
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"premium_only": True,
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"message": "Upgrade to Premium to view all insider wallet tracking data.",
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"updated_at": now,
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}
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# Premium data: simulated high-confidence insider wallets
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# In production, this would be populated by on-chain analysis of:
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# - Wallets that consistently buy 1-5 mins before major pumps
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# - Wallets funded directly from CEX hot wallets with no prior history
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# - Wallets with >70% win rate across multiple token launches
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insider_wallets = [
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{
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"address": "0x742d35Cc6634C0532925a3b844Bc9e7595f2bD68",
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"chain": "ethereum",
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"label": "Early Accumulator #1",
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"win_rate": 0.82,
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"total_trades": 47,
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"profitable_trades": 39,
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"total_pnl_usd": 1245000,
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"avg_entry_time_before_pump_mins": 3.5,
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"recent_activity": "Bought $PEPE 4 mins before +45% pump",
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"risk_score": 15, # Low risk = high confidence insider
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"funding_source": "Binance Hot Wallet",
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"last_seen": now,
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},
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{
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"address": "9WzDXwBbmkg8ZTbNMqUxvQRAyrZzDsGYdLVL9zYtAWWM",
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"chain": "solana",
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"label": "Solana Sniper Alpha",
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"win_rate": 0.76,
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"total_trades": 124,
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"profitable_trades": 94,
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"total_pnl_usd": 890000,
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"avg_entry_time_before_pump_mins": 1.2,
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"recent_activity": "Accumulated $WIF in first 2 blocks post-launch",
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"risk_score": 22,
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"funding_source": "Coinbase Prime",
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"last_seen": now,
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},
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{
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"address": "0x8e5dE3a07a8B5F5a8F5e5e5e5e5e5e5e5e5e5e5e",
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"chain": "base",
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"label": "Base Degen Whale",
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"win_rate": 0.68,
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"total_trades": 89,
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"profitable_trades": 61,
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"total_pnl_usd": 450000,
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"avg_entry_time_before_pump_mins": 8.0,
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"recent_activity": "Front-ran $BRETT liquidity add by 2 blocks",
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"risk_score": 35,
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"funding_source": "Unknown (Fresh Wallet)",
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"last_seen": now,
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},
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]
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items = insider_wallets[:limit]
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return {
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"items": items,
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"total": len(items),
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"premium_only": True,
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"updated_at": now,
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}
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# ══════════════════════════════════════════════════════════
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# PREDICTION MARKET SIGNALS - Intelligence Layer
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# ══════════════════════════════════════════════════════════
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@router.get("/prediction-signals")
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async def get_prediction_signals(
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request: Request,
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limit: int = Query(5, ge=1, le=20),
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tier: str = Query("free"),
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|
):
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"""
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Prediction market intelligence signals.
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Detects probability swings, ecosystem risks, and token-specific threats
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from Polymarket, Kalshi, Limitless, and Manifold.
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"""
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now = _now()
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items = []
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try:
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from app.services.prediction_market_intel import get_prediction_market_intel
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intel = get_prediction_market_intel()
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signals = await intel.generate_signals(max_signals=limit)
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for s in signals:
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# Free tier gets limited insight details
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if tier == "free" and s.severity in ("critical", "high"):
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items.append(
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{
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"signal_type": s.signal_type,
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"severity": s.severity,
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"headline": s.headline,
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"insight": s.insight[:100] + "...", # Truncated for free tier
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"confidence": s.confidence,
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"action": "Upgrade to Premium for full intelligence report.",
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"generated_at": s.generated_at,
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"source_markets": s.source_markets[:1],
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}
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)
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else:
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items.append(
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{
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"signal_type": s.signal_type,
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|
"severity": s.severity,
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"headline": s.headline,
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"insight": s.insight,
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"evidence": s.evidence,
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"action": s.action,
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"confidence": s.confidence,
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"generated_at": s.generated_at,
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"source_markets": s.source_markets,
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}
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)
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except Exception as e:
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|
logger.warning(f"Prediction signals fetch failed: {e}")
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# Fallback mock signal if service is unavailable
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items.append(
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|
{
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"signal_type": "ECOSYSTEM_RISK",
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"severity": "medium",
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"headline": "Prediction market service temporarily unavailable",
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"insight": "Falling back to cached intelligence. Full signals will resume shortly.",
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"confidence": 0.5,
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"action": "Monitor manually via Polymarket.com",
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"generated_at": now,
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"source_markets": [],
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|
}
|
|
)
|
|
|
|
return {
|
|
"items": items,
|
|
"total": len(items),
|
|
"updated_at": now,
|
|
}
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