wip misc; cleaup launch

This commit is contained in:
Dobromir Popov
2025-08-19 22:51:35 +03:00
parent 6ef1a63054
commit 62fa2f41ae
7 changed files with 510 additions and 195 deletions

178
.vscode/launch.json vendored
View File

@@ -1,42 +1,7 @@
{
"version": "0.2.0",
"configurations": [
{
"name": "📊 Enhanced Web Dashboard (Safe)",
"type": "python",
"request": "launch",
"program": "main_clean.py",
"args": [
"--port",
"8051",
"--no-training"
],
"console": "integratedTerminal",
"justMyCode": false,
"env": {
"PYTHONUNBUFFERED": "1",
"ENABLE_REALTIME_CHARTS": "1"
},
"preLaunchTask": "Kill Stale Processes"
},
{
"name": "📊 Enhanced Web Dashboard (Full)",
"type": "python",
"request": "launch",
"program": "main_clean.py",
"args": [
"--port",
"8051"
],
"console": "integratedTerminal",
"justMyCode": false,
"env": {
"PYTHONUNBUFFERED": "1",
"ENABLE_REALTIME_CHARTS": "1",
"ENABLE_NN_MODELS": "1"
},
"preLaunchTask": "Kill Stale Processes"
},
{
"name": "📊 Clean Dashboard (Legacy)",
"type": "python",
@@ -49,51 +14,7 @@
"ENABLE_REALTIME_CHARTS": "1"
}
},
{
"name": "🚀 Main System",
"type": "python",
"request": "launch",
"program": "main.py",
"console": "integratedTerminal",
"justMyCode": false,
"env": {
"PYTHONUNBUFFERED": "1"
}
},
{
"name": "🔬 System Test & Validation",
"type": "python",
"request": "launch",
"program": "main.py",
"args": [
"--mode",
"test"
],
"console": "integratedTerminal",
"justMyCode": false,
"env": {
"PYTHONUNBUFFERED": "1",
"TEST_ALL_COMPONENTS": "1"
}
},
{
"name": "🧪 CNN Live Training with Analysis",
"type": "python",
"request": "launch",
"program": "training/enhanced_cnn_trainer.py",
"console": "integratedTerminal",
"justMyCode": false,
"env": {
"PYTHONUNBUFFERED": "1",
"ENABLE_BACKTESTING": "1",
"ENABLE_ANALYSIS": "1",
"ENABLE_LIVE_VALIDATION": "1",
"CUDA_VISIBLE_DEVICES": "0"
},
"preLaunchTask": "Kill Stale Processes",
"postDebugTask": "Start TensorBoard"
},
{
"name": "🏗️ Python Debugger: Current File",
"type": "debugpy",
@@ -119,38 +40,7 @@
},
"preLaunchTask": "Kill Stale Processes"
},
{
"name": "🔥 Real-time RL COB Trader (400M Parameters)",
"type": "python",
"request": "launch",
"program": "run_realtime_rl_cob_trader.py",
"console": "integratedTerminal",
"justMyCode": false,
"env": {
"PYTHONUNBUFFERED": "1",
"CUDA_VISIBLE_DEVICES": "0",
"PYTORCH_CUDA_ALLOC_CONF": "max_split_size_mb:256",
"ENABLE_REALTIME_RL": "1"
},
"preLaunchTask": "Kill Stale Processes"
},
{
"name": "🚀 Integrated COB Dashboard + RL Trading",
"type": "python",
"request": "launch",
"program": "run_integrated_rl_cob_dashboard.py",
"console": "integratedTerminal",
"justMyCode": false,
"env": {
"PYTHONUNBUFFERED": "1",
"CUDA_VISIBLE_DEVICES": "0",
"PYTORCH_CUDA_ALLOC_CONF": "max_split_size_mb:256",
"ENABLE_REALTIME_RL": "1",
"COB_BTC_BUCKET_SIZE": "10",
"COB_ETH_BUCKET_SIZE": "1"
},
"preLaunchTask": "Kill Stale Processes"
},
{
"name": " *🧹 Clean Trading Dashboard (Universal Data Stream)",
"type": "python",
@@ -191,52 +81,9 @@
"order": 2
}
},
{
"name": "🌐 COBY Multi-Exchange Data Aggregation",
"type": "python",
"request": "launch",
"program": "COBY/main.py",
"console": "integratedTerminal",
"justMyCode": false,
"env": {
"PYTHONUNBUFFERED": "1",
"COBY_API_HOST": "0.0.0.0",
"COBY_API_PORT": "8080",
"COBY_WEBSOCKET_PORT": "8081"
},
"preLaunchTask": "Kill Stale Processes",
"presentation": {
"hidden": false,
"group": "COBY System",
"order": 1
}
},
{
"name": "🔍 COBY Debug Mode",
"type": "python",
"request": "launch",
"program": "COBY/main.py",
"args": [
"--debug"
],
"console": "integratedTerminal",
"justMyCode": false,
"env": {
"PYTHONUNBUFFERED": "1",
"COBY_API_HOST": "localhost",
"COBY_API_PORT": "8080",
"COBY_WEBSOCKET_PORT": "8081",
"COBY_LOG_LEVEL": "DEBUG"
},
"preLaunchTask": "Kill Stale Processes",
"presentation": {
"hidden": false,
"group": "COBY System",
"order": 2
}
},
{
"name": "🔧 COBY Development Mode (Auto-reload)",
"name": "🔧 COBY Development Mode (Auto-reload) - main",
"type": "python",
"request": "launch",
"program": "COBY/main.py",
@@ -259,24 +106,9 @@
"group": "COBY System",
"order": 3
}
},
{
"name": "🏥 COBY Health Check",
"type": "python",
"request": "launch",
"program": "COBY/health_check.py",
"console": "integratedTerminal",
"justMyCode": false,
"env": {
"PYTHONUNBUFFERED": "1"
},
"presentation": {
"hidden": false,
"group": "COBY System",
"order": 4
}
}
],
"compounds": [
{

74
core/coingecko_client.py Normal file
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@@ -0,0 +1,74 @@
"""
CoinGecko client (public free endpoints) to fetch BTC/ETH prices for plotting.
Rules:
- No synthetic data. Return empty structures or None when unavailable.
- Use shared RateLimiter for polite access and retries.
- Default to public endpoints that do not require API key; if a key is provided via env, include it.
"""
from __future__ import annotations
import logging
import os
from typing import Any, Dict, List, Optional, Tuple
from .api_rate_limiter import get_rate_limiter
logger = logging.getLogger(__name__)
class CoinGeckoClient:
def __init__(self,
api_base_url: str = "https://api.coingecko.com/api/v3",
api_key_env: str = "COINGECKO_API_KEY",
user_agent: str = "gogo2-dashboard/1.0") -> None:
self.api_base_url = api_base_url.rstrip("/")
self.api_key = os.environ.get(api_key_env) or ""
self.user_agent = user_agent
self._rl = get_rate_limiter()
def get_simple_price(self, ids: List[str], vs_currency: str = "usd") -> Dict[str, Any]:
if not ids:
return {}
url = f"{self.api_base_url}/simple/price"
params = {
"ids": ",".join(ids),
"vs_currencies": vs_currency,
}
headers = {"User-Agent": self.user_agent}
# Optional key
if self.api_key:
params["x_cg_pro_api_key"] = self.api_key
resp = self._rl.make_request("coingecko_api", url, method="GET", params=params, headers=headers)
if resp is None:
return {}
try:
return resp.json() # type: ignore
except Exception as ex:
logger.error("CoinGecko simple price JSON error: %s", ex)
return {}
def get_market_chart(self, coin_id: str, vs_currency: str = "usd", days: int = 5, interval: str = "hourly") -> Dict[str, Any]:
if not coin_id:
return {}
url = f"{self.api_base_url}/coins/{coin_id}/market_chart"
params = {
"vs_currency": vs_currency,
"days": str(max(1, int(days))),
"interval": interval,
}
headers = {"User-Agent": self.user_agent}
if self.api_key:
params["x_cg_pro_api_key"] = self.api_key
resp = self._rl.make_request("coingecko_api", url, method="GET", params=params, headers=headers)
if resp is None:
return {}
try:
return resp.json() # type: ignore
except Exception as ex:
logger.error("CoinGecko market_chart JSON error: %s", ex)
return {}

View File

@@ -1183,16 +1183,21 @@ class DataProvider:
price = tick.get('price')
if not price:
price = tick.get('mid_price') or stats.get('mid_price', 0)
# Derive a volume proxy if not provided (use bid+ask volume from stats)
# Strict: if still falsy or non-finite, skip
try:
price = float(price)
except Exception:
price = 0.0
# Volume: do not synthesize from other stats; use provided value or 0.0
volume = tick.get('volume')
if volume is None:
bid_vol = stats.get('bid_volume', 0) or 0
ask_vol = stats.get('ask_volume', 0) or 0
volume = float(bid_vol) + float(ask_vol)
# Do not create synthetic volume; keep zero if not available
try:
volume = float(volume) if volume is not None else 0.0
except Exception:
volume = 0.0
else:
continue
# Normalize timestamp; support seconds or milliseconds since epoch and tz-aware datetimes
if not timestamp or not price or price <= 0:
continue
@@ -1200,7 +1205,16 @@ class DataProvider:
if isinstance(timestamp, (int, float)):
import pytz
utc = pytz.UTC
# Handle ms epoch inputs by thresholding reasonable ranges
try:
# If timestamp looks like milliseconds (e.g., > 10^12), convert to seconds
if timestamp > 1e12:
tick_time = datetime.fromtimestamp(timestamp / 1000.0, tz=utc)
else:
tick_time = datetime.fromtimestamp(timestamp, tz=utc)
except Exception:
# Skip bad timestamps cleanly on Windows
continue
# Keep in UTC to match COB WebSocket data
elif isinstance(timestamp, datetime):
import pytz
@@ -1208,7 +1222,14 @@ class DataProvider:
tick_time = timestamp
# If no timezone info, assume UTC and keep in UTC
if tick_time.tzinfo is None:
try:
tick_time = utc.localize(tick_time)
except Exception:
# Fallback: coerce via fromtimestamp using naive seconds
try:
tick_time = datetime.fromtimestamp(tick_time.timestamp(), tz=utc)
except Exception:
continue
# Keep in UTC (no timezone conversion)
else:
continue
@@ -1267,23 +1288,24 @@ class DataProvider:
return df
except Exception as e:
# Handle Windows-specific invalid argument (e.g., bad timestamps) gracefully
# Handle invalid argument or bad timestamps gracefully (Windows-safe)
try:
import errno
if hasattr(e, 'errno') and e.errno == errno.EINVAL:
logger.warning(f"Invalid argument while generating 1s candles for {symbol}; trimming tick buffer and falling back")
try:
if hasattr(self, 'cob_raw_ticks') and symbol in getattr(self, 'cob_raw_ticks', {}):
buf = self.cob_raw_ticks[symbol]
drop = max(1, len(buf)//2)
for _ in range(drop):
buf.popleft()
except Exception:
pass
else:
logger.error(f"Error generating 1s candles from ticks for {symbol}: {e}")
except Exception:
logger.error(f"Error generating 1s candles from ticks for {symbol}: {e}")
# Always trim a small portion of tick buffer to recover from corrupt front entries
try:
if hasattr(self, 'cob_raw_ticks') and symbol in getattr(self, 'cob_raw_ticks', {}):
buf = self.cob_raw_ticks[symbol]
drop = max(1, min(50, len(buf)//10)) # drop up to 10% or 50 entries
for _ in range(drop):
buf.popleft()
except Exception:
pass
return None
def _fetch_from_binance(self, symbol: str, timeframe: str, limit: int) -> Optional[pd.DataFrame]:

253
core/polymarket_client.py Normal file
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@@ -0,0 +1,253 @@
"""
Polymarket client for discovering relevant BTC/ETH price markets and fetching live data.
Notes:
- Uses public Gamma API for market discovery. Endpoints can change; keep URLs configurable.
- Avoids any synthetic data. Returns empty lists when nothing is found.
- Windows-safe ASCII logging only.
Responsibilities:
- Search active markets relevant to BTC and ETH price over the next N days
- Extract scalar market metadata when available (lower/upper bounds) to derive implied price from share price
- Optionally fetch order book or last prices for outcomes using CLOB REST if available
This module focuses on read-only public data. Trading functionality is out of scope.
"""
from __future__ import annotations
import logging
import time
import threading
from dataclasses import dataclass
from datetime import datetime, timedelta, timezone
from typing import Any, Dict, List, Optional, Tuple
from .api_rate_limiter import get_rate_limiter
logger = logging.getLogger(__name__)
@dataclass
class ScalarMarketInfo:
market_id: str
title: str
end_date: Optional[datetime]
lower_bound: Optional[float]
upper_bound: Optional[float]
last_price: Optional[float]
slug: Optional[str]
url: Optional[str]
asset: str # "BTC" or "ETH" when detected, else ""
class PolymarketClient:
"""Simple Polymarket data client using public HTTP endpoints.
The exact endpoints can change. By default, we use Gamma API for discovery.
"""
def __init__(self,
gamma_base_url: str = "https://gamma-api.polymarket.com",
clob_base_url: str = "https://clob.polymarket.com",
user_agent: str = "gogo2-dashboard/1.0",
) -> None:
self.gamma_base_url = gamma_base_url.rstrip("/")
self.clob_base_url = clob_base_url.rstrip("/")
self.user_agent = user_agent
self._rl = get_rate_limiter()
# In-memory cache; no synthetic values, just last successful responses
self._last_markets: List[Dict[str, Any]] = []
self._last_scalar_infos: List[ScalarMarketInfo] = []
self._lock = threading.Lock()
# ----------------------------
# Public API
# ----------------------------
def discover_btc_eth_scalar_markets(self, days_ahead: int = 5) -> List[ScalarMarketInfo]:
"""Discover scalar markets about BTC/ETH price ending within days_ahead.
Strategy:
- Query markets with a search filter for keywords (BTC/Bitcoin/ETH/Ethereum)
- Keep markets with endDate within now+days_ahead
- Attempt to parse scalar bounds and last price
Return empty list when nothing suitable is found.
"""
try:
raw_markets = self._fetch_markets()
cutoff = datetime.now(timezone.utc) + timedelta(days=max(0, int(days_ahead)))
scalar_infos: List[ScalarMarketInfo] = []
for m in raw_markets:
try:
title = str(m.get("title") or m.get("question") or "")
if not title:
continue
title_l = title.lower()
asset = ""
if "btc" in title_l or "bitcoin" in title_l:
asset = "BTC"
elif "eth" in title_l or "ethereum" in title_l:
asset = "ETH"
else:
continue
# Parse end date
end_dt = self._parse_datetime(m.get("endDate") or m.get("closeDate"))
if end_dt and end_dt > cutoff:
# Only next N days
continue
# Heuristic: detect scalar markets and bounds
lower_bound, upper_bound = self._extract_bounds(m)
last_price = self._extract_last_price(m)
# Only accept if appears scalar (has bounds)
if lower_bound is None or upper_bound is None:
continue
scalar_infos.append(ScalarMarketInfo(
market_id=str(m.get("id") or m.get("_id") or ""),
title=title,
end_date=end_dt,
lower_bound=lower_bound,
upper_bound=upper_bound,
last_price=last_price,
slug=m.get("slug"),
url=self._compose_market_url(m),
asset=asset,
))
except Exception as inner_ex:
logger.debug("Polymarket market parse error: %s", inner_ex)
with self._lock:
self._last_scalar_infos = scalar_infos
return scalar_infos
except Exception as ex:
logger.error("Polymarket discovery error: %s", ex)
return []
def get_cached_scalar_markets(self) -> List[ScalarMarketInfo]:
with self._lock:
return list(self._last_scalar_infos)
def derive_implied_price(self, market: ScalarMarketInfo) -> Optional[float]:
"""For scalar markets with last_price in [0,1] and known bounds, derive implied USD price.
implied = lower + (upper - lower) * last_price
Returns None if data insufficient.
"""
try:
if market is None:
return None
if market.last_price is None:
return None
if market.lower_bound is None or market.upper_bound is None:
return None
p = float(market.last_price)
lb = float(market.lower_bound)
ub = float(market.upper_bound)
if ub <= lb:
return None
if p < 0 or p > 1:
# Some APIs might provide unscaled price; ignore if out of [0,1]
return None
return lb + (ub - lb) * p
except Exception as ex:
logger.debug("Implied price calc error: %s", ex)
return None
# ----------------------------
# Internal helpers
# ----------------------------
def _fetch_markets(self) -> List[Dict[str, Any]]:
"""Fetch active markets from Gamma API.
Uses conservative params to get recent/active markets and includes descriptions.
Returns empty list if any error occurs.
"""
url = f"{self.gamma_base_url}/markets"
params = {
"limit": 200,
"active": "true",
"withDescription": "true",
# Some gamma deployments support search param; we do broader fetch then filter locally
}
headers = {"User-Agent": self.user_agent}
resp = self._rl.make_request("polymarket_gamma", url, method="GET", params=params, headers=headers)
if resp is None:
return []
if resp.status_code != 200:
logger.warning("Polymarket markets status: %s", resp.status_code)
return []
try:
data = resp.json() # type: ignore
except Exception as ex:
logger.error("Polymarket markets JSON error: %s", ex)
return []
# Gamma may return object with `data` or direct list
markets: List[Dict[str, Any]]
if isinstance(data, dict) and isinstance(data.get("data"), list):
markets = data.get("data", [])
elif isinstance(data, list):
markets = data
else:
markets = []
with self._lock:
self._last_markets = markets
return markets
def _parse_datetime(self, value: Any) -> Optional[datetime]:
if not value:
return None
try:
# Common ISO-8601 variants
s = str(value)
# Ensure Z -> +00:00 for Python <3.11 compatibility
if s.endswith("Z"):
s = s.replace("Z", "+00:00")
return datetime.fromisoformat(s)
except Exception:
return None
def _extract_bounds(self, market: Dict[str, Any]) -> Tuple[Optional[float], Optional[float]]:
"""Attempt to extract scalar bounds from various field names used in Polymarket responses."""
lb = market.get("lowerBound") or market.get("min") or market.get("lower")
ub = market.get("upperBound") or market.get("max") or market.get("upper")
try:
return (float(lb) if lb is not None else None, float(ub) if ub is not None else None)
except Exception:
return (None, None)
def _extract_last_price(self, market: Dict[str, Any]) -> Optional[float]:
"""Attempt to extract last traded share price in [0,1] for scalar markets."""
# Some APIs expose price under `price`, some under `outcomePrices` or `lastPrice`
price_candidates: List[Any] = []
price_candidates.append(market.get("lastPrice"))
price_candidates.append(market.get("price"))
# If outcomePrices is present and scalar, the first could be used as indicator
op = market.get("outcomePrices")
if isinstance(op, list) and op:
price_candidates.append(op[0])
for val in price_candidates:
try:
if val is None:
continue
f = float(val)
if 0.0 <= f <= 1.0:
return f
except Exception:
continue
return None
def _compose_market_url(self, market: Dict[str, Any]) -> Optional[str]:
slug = market.get("slug")
if slug:
return f"https://polymarket.com/event/{slug}"
return None

View File

@@ -16,3 +16,4 @@ seaborn>=0.12.0
asyncio-compat>=0.1.2
wandb>=0.16.0
pybit>=5.11.0
requests>=2.31.0

View File

@@ -99,6 +99,8 @@ from NN.models.standardized_cnn import StandardizedCNN
# Import layout and component managers
from web.layout_manager import DashboardLayoutManager
from web.component_manager import DashboardComponentManager
from core.polymarket_client import PolymarketClient
from core.coingecko_client import CoinGeckoClient
try:
@@ -405,8 +407,116 @@ class CleanTradingDashboard:
threading.Thread(target=self._delayed_training_check, daemon=True).start()
logger.debug("Clean Trading Dashboard initialized with HIGH-FREQUENCY COB integration and signal generation")
logger.info("🌙 Overnight Training Coordinator ready - call start_overnight_training() to begin")
logger.info("Universal model toggle system initialized - supports dynamic model registration")
logger.info("Overnight Training Coordinator ready - call start_overnight_training() to begin")
logger.info("Universal model toggle system initialized - supports dynamic model registration")
# Initialize Polymarket/CoinGecko clients
try:
self.polymarket_client = PolymarketClient()
self.coingecko_client = CoinGeckoClient()
except Exception as init_ex:
logger.error("Failed to initialize external data clients: %s", init_ex)
def _build_polymarket_vs_coingecko_figure(self):
"""Build a figure comparing Polymarket scalar implied prices vs CoinGecko real prices.
- Queries Polymarket for BTC/ETH scalar markets ending in next 5 days
- Derives implied price when possible
- Fetches CoinGecko last 5 days hourly price series
- Returns a Plotly figure with two subplots (BTC and ETH)
"""
try:
# Discover markets
markets = []
if hasattr(self, 'polymarket_client') and self.polymarket_client:
markets = self.polymarket_client.discover_btc_eth_scalar_markets(days_ahead=5)
# Partition by asset
btc_markets = [m for m in markets if m.asset == 'BTC']
eth_markets = [m for m in markets if m.asset == 'ETH']
# Compute implied prices (pick most recent by end_date if multiple)
def pick_latest_implied(mkts):
implied = None
chosen = None
if not mkts:
return (None, None)
# Sort by end_date ASC and take last with valid implied
mkts_sorted = sorted(mkts, key=lambda x: (x.end_date is None, x.end_date))
for m in mkts_sorted:
ip = self.polymarket_client.derive_implied_price(m) if self.polymarket_client else None
if ip is not None:
implied = ip
chosen = m
return (implied, chosen)
btc_implied, btc_market = pick_latest_implied(btc_markets)
eth_implied, eth_market = pick_latest_implied(eth_markets)
# Fetch CoinGecko market charts
cg_btc = {}
cg_eth = {}
if hasattr(self, 'coingecko_client') and self.coingecko_client:
cg_btc = self.coingecko_client.get_market_chart('bitcoin', days=5, interval='hourly') or {}
cg_eth = self.coingecko_client.get_market_chart('ethereum', days=5, interval='hourly') or {}
# Extract prices arrays: each entry [timestamp_ms, price]
def extract_series(obj):
arr = obj.get('prices') if isinstance(obj, dict) else None
if not isinstance(arr, list):
return []
result = []
for it in arr:
if isinstance(it, list) and len(it) >= 2:
ts = it[0]
val = it[1]
try:
result.append((ts, float(val)))
except Exception:
continue
return result
btc_series = extract_series(cg_btc)
eth_series = extract_series(cg_eth)
fig = make_subplots(rows=1, cols=2, subplot_titles=("BTC", "ETH"))
# Plot CoinGecko series
if btc_series:
fig.add_trace(
go.Scatter(x=[pd.to_datetime(ts, unit='ms') for ts, _ in btc_series],
y=[v for _, v in btc_series],
name='BTC Price (CG)',
mode='lines',
line=dict(color='royalblue')), row=1, col=1)
if eth_series:
fig.add_trace(
go.Scatter(x=[pd.to_datetime(ts, unit='ms') for ts, _ in eth_series],
y=[v for _, v in eth_series],
name='ETH Price (CG)',
mode='lines',
line=dict(color='seagreen')), row=1, col=2)
# Overlay Polymarket implied point (as marker at end_date)
def add_implied_point(asset_name, implied, market, col_idx):
if implied is None or market is None:
return
dt = market.end_date
x_val = pd.to_datetime(dt) if dt else (pd.to_datetime('now'))
label = f"{asset_name} implied: {implied:.2f}"
fig.add_trace(
go.Scatter(x=[x_val], y=[implied], name=label,
mode='markers+text', text=["PM"], textposition='top center',
marker=dict(color='orange', size=8)), row=1, col=col_idx)
add_implied_point('BTC', btc_implied, btc_market, 1)
add_implied_point('ETH', eth_implied, eth_market, 2)
fig.update_layout(margin=dict(l=20, r=20, t=30, b=20), legend=dict(orientation='h'))
return fig
except Exception as ex:
logger.error("Polymarket vs CG figure error: %s", ex)
return go.Figure().add_annotation(text="Error building figure", x=0.5, y=0.5, showarrow=False)
def _on_cob_data_update(self, symbol: str, cob_data: dict):
"""Handle COB data updates from data provider"""
@@ -1303,6 +1413,21 @@ class CleanTradingDashboard:
xref="paper", yref="paper",
x=0.5, y=0.5, showarrow=False)
# NOTE: Removed duplicate callback registration for 'polymarket-eth-btc-chart'
# Polymarket vs CoinGecko panel (slow interval)
@self.app.callback(
Output('polymarket-eth-btc-chart', 'figure'),
[Input('slow-interval-component', 'n_intervals')]
)
def update_polymarket_vs_prices(n):
try:
return self._build_polymarket_vs_coingecko_figure()
except Exception as ex:
logger.error("Polymarket panel error: %s", ex)
return go.Figure().add_annotation(text="Polymarket panel error", x=0.5, y=0.5, showarrow=False)
# Display state label for pivots toggle
@self.app.callback(
Output('pivots-display', 'children'),

View File

@@ -371,6 +371,14 @@ class DashboardLayoutManager:
html.Div([
dcc.Graph(id="price-chart", style={"height": "500px"})
]),
html.Hr(className="my-2"),
html.Div([
html.H6([
html.I(className="fas fa-chart-line me-2"),
"Polymarket vs CoinGecko (BTC/ETH, next 5 days)"
], className="card-title mb-2"),
dcc.Graph(id="polymarket-eth-btc-chart", style={"height": "350px"})
])
], className="card-body p-2")
], className="card")