Initial commit: Quantum Terminal — Free & Open Source Trading Platform

This commit is contained in:
Quantum Terminal
2026-05-21 01:44:50 +03:00
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"""
================================================================================
Quantum Terminal — Provider Registry
================================================================================
Maps provider type names to their implementation classes.
To add a new provider:
1. Create providers/my_provider.py implementing BaseProvider
2. Add "my_provider": MyProvider to PROVIDER_REGISTRY below
3. Add account config in user_config.json under providers.accounts
That's it — the config_manager will instantiate and manage it.
================================================================================
"""
from providers.base_provider import BaseProvider
from providers.mt5_provider import MT5Provider
# ── Rithmic provider (graceful if async_rithmic not installed) ──
try:
from providers.rithmic_provider import RithmicProvider
RITHMIC_AVAILABLE = True
except ImportError:
RithmicProvider = None
RITHMIC_AVAILABLE = False
# ── Provider type → class mapping ──
# Key = the "type" field in account config
# Value = class that implements BaseProvider
PROVIDER_REGISTRY = {
"mt5": MT5Provider,
}
# Register Rithmic only if async_rithmic is installed
if RITHMIC_AVAILABLE:
PROVIDER_REGISTRY["rithmic"] = RithmicProvider
def create_provider(account_config: dict) -> BaseProvider:
"""
Factory: create a provider instance from account config dict.
Expected config shape:
{
"id": "mt5_primary",
"type": "mt5",
"label": "MT5 — CFI (Live)",
"terminal_path": null,
"aliases": {}
}
Raises KeyError if provider type is not registered.
"""
provider_type = account_config.get("type", "")
if provider_type not in PROVIDER_REGISTRY:
registered = ", ".join(PROVIDER_REGISTRY.keys())
raise KeyError(
f"Unknown provider type: '{provider_type}'. "
f"Registered types: {registered}"
)
cls = PROVIDER_REGISTRY[provider_type]
return cls(account_config)
def list_provider_types() -> list:
"""Return list of registered provider type names."""
return list(PROVIDER_REGISTRY.keys())
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"""
================================================================================
Quantum Terminal — Base Provider Interface
================================================================================
Abstract contract that every data/execution provider must implement.
The data_server and config_manager talk to providers ONLY through this
interface. MT5, Binance, Polygon, or any future source plugs in by
subclassing BaseProvider and implementing the required methods.
Design principles:
- All methods are synchronous (callers use asyncio.to_thread)
- Providers manage their own connection lifecycle
- Canonical ticker names everywhere — providers map internally
- Providers declare their capabilities (data-only vs data+execution)
Usage:
from providers.base_provider import BaseProvider
from providers.mt5_provider import MT5Provider
provider = MT5Provider(account_config)
provider.connect()
ticks = provider.get_latest_ticks(["XAUUSD", "EURUSD"])
================================================================================
"""
from abc import ABC, abstractmethod
from typing import Dict, List, Optional
from models import (
TickData, BarData, AccountInfo, SymbolInfo,
OrderRequest, OrderResult, Position, PendingOrder,
)
class BaseProvider(ABC):
"""
Abstract provider interface.
Every provider has:
- A type name (e.g., "mt5", "binance")
- A unique instance ID (e.g., "mt5_primary", "binance_spot")
- Connection lifecycle (connect/disconnect/reconnect)
- Market data methods (ticks, bars, symbol info)
- Optional execution methods (orders, positions)
Providers are synchronous. The data_server wraps calls in
asyncio.to_thread() to avoid blocking the event loop.
"""
# ── Identity ──
@property
@abstractmethod
def provider_type(self) -> str:
"""Provider type identifier. E.g., 'mt5', 'binance', 'polygon'."""
...
@property
@abstractmethod
def provider_id(self) -> str:
"""Unique instance ID. E.g., 'mt5_primary'. Set from account config."""
...
@property
@abstractmethod
def label(self) -> str:
"""Human-readable label. E.g., 'MT5 — CFI (Live)'."""
...
# ── Capabilities ──
@property
def can_stream_ticks(self) -> bool:
"""Whether this provider supports live tick polling."""
return True
@property
def can_execute(self) -> bool:
"""Whether this provider supports order execution."""
return False
@property
def supported_timeframes(self) -> List[str]:
"""List of timeframe strings this provider supports."""
return ["M1", "M5", "M15", "M30", "H1", "H4", "D1", "W1"]
# ── Connection Lifecycle ──
@property
@abstractmethod
def connected(self) -> bool:
"""Whether the provider is currently connected."""
...
@abstractmethod
def connect(self) -> bool:
"""
Establish connection to the data/execution source.
Returns True on success, False on failure.
Must be idempotent — calling connect() when already connected is safe.
"""
...
@abstractmethod
def disconnect(self) -> None:
"""Cleanly shut down the connection."""
...
def reconnect(self) -> bool:
"""Disconnect and reconnect. Override for custom reconnect logic."""
self.disconnect()
return self.connect()
def heartbeat(self) -> bool:
"""
Lightweight connection health check.
Returns True if the connection is alive, False otherwise.
If False, sets internal connected state to False so reconnect_loop picks it up.
Override in subclasses for provider-specific health checks.
"""
return self.connected
# ── Market Data ──
@abstractmethod
def get_latest_ticks(self, symbols: List[str]) -> Dict[str, TickData]:
"""
Fetch latest tick for each symbol.
Args:
symbols: List of canonical ticker names (e.g., ["XAUUSD", "EURUSD"])
Returns:
Dict mapping canonical ticker → TickData.
Missing/failed symbols are simply omitted.
"""
...
@abstractmethod
def get_bars(
self, ticker: str, timeframe: str = "M15", count: int = 200
) -> List[BarData]:
"""
Fetch recent OHLCV bars for a canonical ticker.
Args:
ticker: Canonical symbol name
timeframe: Timeframe string (M1, M5, M15, H1, H4, D1, etc.)
count: Number of bars to fetch
Returns:
List of BarData, oldest first. Empty list on failure.
"""
...
@abstractmethod
def check_new_bars(
self, symbols: List[str], timeframe: str = "M15"
) -> List[dict]:
"""
Detect newly closed bars since last check.
Returns list of dicts:
{"type": "bar", "ticker": str, "timeframe": str, "bar": BarData.to_dict()}
Implementation must track last-seen bar timestamps internally.
"""
...
@abstractmethod
def get_symbol_info(self, ticker: str) -> Optional[SymbolInfo]:
"""
Get metadata for a symbol (decimals, lot sizing, contract size, etc.)
Returns None if symbol not found.
"""
...
def get_all_symbol_info(self, symbols: List[str]) -> Dict[str, SymbolInfo]:
"""
Batch symbol info for multiple tickers.
Default implementation calls get_symbol_info() in a loop.
Override for providers that support batch queries.
"""
result = {}
for s in symbols:
info = self.get_symbol_info(s)
if info is not None:
result[s] = info
return result
# ── Account Info ──
@abstractmethod
def get_account_info(self) -> Optional[AccountInfo]:
"""
Get current account snapshot (balance, equity, margin, etc.)
Returns None if not connected or not applicable.
"""
...
# ── Execution (optional — override if can_execute is True) ──
def place_order(self, order: OrderRequest) -> OrderResult:
"""Place an order. Override in execution-capable providers."""
return OrderResult(
success=False,
error=f"Provider '{self.provider_type}' does not support execution",
)
def get_positions(self) -> List[Position]:
"""Get all open positions. Override in execution-capable providers."""
return []
def close_position(self, ticket: str, lots: Optional[float] = None) -> OrderResult:
"""
Close a position (fully or partially).
Override in execution-capable providers.
"""
return OrderResult(
success=False,
error=f"Provider '{self.provider_type}' does not support execution",
)
def get_bars_range(self, ticker, timeframe, from_dt, to_dt):
"""Fetch OHLCV bars between two datetimes.
Override in providers that support historical range queries."""
return []
def get_pending_orders(self) -> List[PendingOrder]:
"""
List all resting (non-filled) pending orders (LIMIT / STOP).
Override in execution-capable providers.
"""
return []
def cancel_order(self, ticket: str) -> OrderResult:
"""Cancel a resting pending order. Override in execution-capable providers."""
return OrderResult(
success=False,
error=f"Provider '{self.provider_type}' does not support execution",
)
def modify_order(
self, ticket: str,
price: Optional[float] = None,
stop_loss: Optional[float] = None,
take_profit: Optional[float] = None,
) -> OrderResult:
"""Modify price / SL / TP on a pending order. Override in execution-capable providers."""
return OrderResult(
success=False,
error=f"Provider '{self.provider_type}' does not support execution",
)
# ── Symbol Resolution ──
@abstractmethod
def resolve_symbol(self, canonical: str) -> Optional[str]:
"""
Map a canonical ticker name to the provider's native symbol.
Returns None if the symbol is not available in this provider.
"""
...
def get_available_symbols(self) -> List[str]:
"""
Return list of all canonical symbols this provider can serve.
Default: empty (override to support symbol discovery).
"""
return []
# ── String Representation ──
def __repr__(self) -> str:
status = "connected" if self.connected else "disconnected"
return f"<{self.__class__.__name__} id='{self.provider_id}' [{status}]>"
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"""
================================================================================
Quantum Terminal — Rithmic Provider
================================================================================
Implements BaseProvider for Rithmic futures data feed.
Uses the async_rithmic library (Protocol Buffer API over WebSocket) to:
- Stream live BBO ticks for futures instruments
- Stream live time bars (M1/M5/M15/M30/H1)
- Fetch historical bars on demand
- Auto-resolve front month contracts (ES → ESM6, etc.)
Architecture:
async_rithmic requires running inside a proper asyncio event loop.
This provider exposes async_connect()/async_disconnect() methods that
run directly in the caller's event loop (FastAPI's uvicorn loop).
data_server.py lifespan calls:
await provider.async_connect() # in the main event loop
Sync methods (get_latest_ticks, get_bars, etc.) read from caches
populated by streaming callbacks running in the same event loop.
For non-async contexts (test scripts), connect() falls back to
asyncio.run() which works but blocks the calling thread.
Config dict keys:
id: str — unique provider ID (e.g., "rithmic_default")
type: str — "rithmic"
label: str — display name (e.g., "Rithmic — Paper Trading")
enabled: bool — True
user: str — Rithmic username (from local_config.ini)
password: str — Rithmic password (from local_config.ini)
system_name: str — "Rithmic Test" / "Rithmic 01" etc.
url: str — server URL (e.g., "rituz00100.rithmic.com:443")
app_name: str — "Quantum Terminal" (default)
app_version: str — "1.0" (default)
symbol_map: dict — canonical → {base, exchange} overrides (optional)
Dependencies:
pip install async_rithmic
================================================================================
"""
import logging
import threading
import asyncio
from collections import deque
from datetime import datetime, timezone, timedelta
from typing import Dict, List, Optional, Any
from models import (
TickData, BarData, AccountInfo, SymbolInfo,
OrderRequest, OrderResult, Position,
)
from providers.base_provider import BaseProvider
log = logging.getLogger("provider.rithmic")
# ── async_rithmic imported lazily ──
try:
from async_rithmic import (
RithmicClient,
TimeBarType,
DataType,
LastTradePresenceBits,
BestBidOfferPresenceBits,
)
RITHMIC_AVAILABLE = True
except ImportError:
RITHMIC_AVAILABLE = False
RithmicClient = None
TimeBarType = None
DataType = None
# ============================================================
# 1. SYMBOL MAPPING — Canonical → Rithmic
# ============================================================
# Maps Quantum Terminal canonical tickers to Rithmic base symbols + exchange.
# get_front_month_contract() auto-resolves the actual contract code
# (e.g., "ES" → "ESM6" for June 2026).
#
# IMPORTANT: Futures canonical tickers are SEPARATE from CFD tickers.
# ES = CME E-mini S&P 500 futures (Rithmic)
# US500 = S&P 500 CFD (MT5/CFI)
# They coexist in the universe as independent instruments.
RITHMIC_SYMBOL_MAP = {
# Equity index futures
"ES": {"base": "ES", "exchange": "CME"},
"NQ": {"base": "NQ", "exchange": "CME"},
"YM": {"base": "YM", "exchange": "CBOT"},
# Metal futures
"GC": {"base": "GC", "exchange": "COMEX"},
"SI": {"base": "SI", "exchange": "COMEX"},
# Energy futures
"CL": {"base": "CL", "exchange": "NYMEX"},
"BZ": {"base": "BZ", "exchange": "NYMEX"},
# European index futures (Eurex — may not be available on all accounts)
"FDAX": {"base": "FDAX", "exchange": "EUREX"},
"Z": {"base": "Z", "exchange": "LIFFE"},
}
# Maps our timeframe strings to (TimeBarType enum name, period) pairs.
RITHMIC_TF_MAP = {
"M1": ("MINUTE_BAR", 1),
"M5": ("MINUTE_BAR", 5),
"M15": ("MINUTE_BAR", 15),
"M30": ("MINUTE_BAR", 30),
"H1": ("MINUTE_BAR", 60),
"H4": ("MINUTE_BAR", 240),
"D1": ("DAILY_BAR", 1),
}
# Futures contract specs (static — used for SymbolInfo).
FUTURES_SPECS = {
"ES": {"decimals": 2, "tick_size": 0.25, "tick_value": 12.50,
"contract_size": 50.0, "description": "E-mini S&P 500",
"currency": "USD", "min_lot": 1, "lot_step": 1, "max_lot": 100},
"NQ": {"decimals": 2, "tick_size": 0.25, "tick_value": 5.00,
"contract_size": 20.0, "description": "E-mini NASDAQ-100",
"currency": "USD", "min_lot": 1, "lot_step": 1, "max_lot": 100},
"YM": {"decimals": 0, "tick_size": 1.0, "tick_value": 5.00,
"contract_size": 5.0, "description": "E-mini Dow",
"currency": "USD", "min_lot": 1, "lot_step": 1, "max_lot": 100},
"GC": {"decimals": 2, "tick_size": 0.10, "tick_value": 10.00,
"contract_size": 100.0, "description": "Gold Futures",
"currency": "USD", "min_lot": 1, "lot_step": 1, "max_lot": 100},
"SI": {"decimals": 3, "tick_size": 0.005, "tick_value": 25.00,
"contract_size": 5000.0, "description": "Silver Futures",
"currency": "USD", "min_lot": 1, "lot_step": 1, "max_lot": 100},
"CL": {"decimals": 2, "tick_size": 0.01, "tick_value": 10.00,
"contract_size": 1000.0, "description": "Crude Oil WTI",
"currency": "USD", "min_lot": 1, "lot_step": 1, "max_lot": 100},
"BZ": {"decimals": 2, "tick_size": 0.01, "tick_value": 10.00,
"contract_size": 1000.0, "description": "Brent Crude Oil",
"currency": "USD", "min_lot": 1, "lot_step": 1, "max_lot": 100},
"FDAX": {"decimals": 1, "tick_size": 0.5, "tick_value": 12.50,
"contract_size": 25.0, "description": "DAX Futures",
"currency": "EUR", "min_lot": 1, "lot_step": 1, "max_lot": 50},
"Z": {"decimals": 1, "tick_size": 0.5, "tick_value": 5.00,
"contract_size": 10.0, "description": "FTSE 100 Futures",
"currency": "GBP", "min_lot": 1, "lot_step": 1, "max_lot": 50},
}
# Minutes per timeframe — used to compute bar fetch windows
TF_MINUTES = {
"M1": 1, "M5": 5, "M15": 15, "M30": 30,
"H1": 60, "H4": 240, "D1": 1440, "W1": 10080,
}
# ============================================================
# 2. RITHMIC PROVIDER
# ============================================================
class RithmicProvider(BaseProvider):
"""
Rithmic futures data provider.
Data-only provider (can_execute=False for now). Streams live
ticks and bars via async_rithmic, serves data through the
synchronous BaseProvider interface.
IMPORTANT: async_rithmic must run inside a proper asyncio event
loop. Use async_connect() from FastAPI's lifespan, or connect()
which falls back to asyncio.run() for standalone scripts.
"""
def __init__(self, account_config: Dict[str, Any]):
self._id = account_config.get("id", "rithmic_default")
self._label = account_config.get("label", "Rithmic")
self._user = account_config.get("user", "")
self._password = account_config.get("password", "")
self._system_name = account_config.get("system_name", "Rithmic Test")
self._url = account_config.get("url", "")
self._app_name = account_config.get("app_name", "Quantum Terminal")
self._app_version = account_config.get("app_version", "1.0")
# Symbol map: merge defaults with user overrides
self._symbol_map = dict(RITHMIC_SYMBOL_MAP)
user_map = account_config.get("symbol_map", {})
self._symbol_map.update(user_map)
# Connection state
self._connected = False
self._client: Optional[Any] = None # RithmicClient instance
# Reference to the event loop we're running in (set during connect)
self._loop: Optional[asyncio.AbstractEventLoop] = None
# Resolved front month contracts: canonical → "ESM6" etc.
self._front_months: Dict[str, str] = {}
# Reverse map: "ESM6" → "ES"
self._reverse_map: Dict[str, str] = {}
# Tick cache: canonical → TickData (written from async callbacks,
# read from sync methods — both in the same thread in production)
self._tick_cache: Dict[str, TickData] = {}
# Bar buffer: "TICKER_TF" → deque of BarData (ring buffer)
self._bar_buffers: Dict[str, deque] = {}
self._max_bar_buffer = 500
# Bar tracking for check_new_bars
self._last_bar_times: Dict[str, str] = {}
# Subscribed symbols (canonical names that resolved successfully)
self._subscribed: List[str] = []
# ── Identity ──
@property
def provider_type(self) -> str:
return "rithmic"
@property
def provider_id(self) -> str:
return self._id
@property
def label(self) -> str:
return self._label
# ── Capabilities ──
@property
def can_execute(self) -> bool:
return False # Data-only for now
@property
def can_stream_ticks(self) -> bool:
return True
@property
def supported_timeframes(self) -> List[str]:
return list(RITHMIC_TF_MAP.keys())
# ── Connection Lifecycle ──
@property
def connected(self) -> bool:
return self._connected
def connect(self) -> bool:
"""
Synchronous connect — for use in non-async contexts (test scripts).
In production (data_server.py), use async_connect() instead.
This method uses asyncio.run() which blocks the calling thread.
"""
if not RITHMIC_AVAILABLE:
log.warning("async_rithmic package not installed — "
"run: pip install async_rithmic")
return False
if self._connected:
return True
if not self._user or not self._password or not self._url:
log.error("Rithmic credentials missing — "
"check [rithmic] in local_config.ini")
return False
try:
return asyncio.run(self.async_connect())
except Exception as e:
log.error(f"Rithmic connect error: {e}")
return False
async def async_connect(self) -> bool:
"""
Async connect — runs in the caller's event loop.
Called from data_server.py lifespan:
connected = await provider.async_connect()
1. Create RithmicClient
2. Connect to server
3. Resolve front month contracts
4. Subscribe to BBO ticks + M1 time bars
"""
if not RITHMIC_AVAILABLE:
log.warning("async_rithmic not installed")
return False
if self._connected:
return True
if not self._user or not self._password or not self._url:
log.error("Rithmic credentials missing")
return False
try:
self._loop = asyncio.get_running_loop()
self._client = RithmicClient(
user=self._user,
password=self._password,
system_name=self._system_name,
app_name=self._app_name,
app_version=self._app_version,
url=self._url,
)
await self._client.connect()
log.info("Rithmic client connected to server")
# Register event callbacks
self._client.on_tick += self._on_tick
self._client.on_time_bar += self._on_time_bar
# Resolve front month contracts
for canonical, mapping in self._symbol_map.items():
base = mapping["base"]
exchange = mapping["exchange"]
try:
front = await self._client.get_front_month_contract(
base, exchange
)
self._front_months[canonical] = front
self._reverse_map[front] = canonical
log.info(f" {canonical} -> {front} ({exchange})")
except Exception as e:
log.warning(
f" {canonical} -> FAILED to resolve "
f"{base}@{exchange}: {e}"
)
# Subscribe to live data for resolved symbols
for canonical, contract in self._front_months.items():
exchange = self._symbol_map[canonical]["exchange"]
try:
# Subscribe to BBO ticks
data_type = DataType.LAST_TRADE | DataType.BBO
await self._client.subscribe_to_market_data(
contract, exchange, data_type
)
# Subscribe to M1 time bars
await self._client.subscribe_to_time_bar_data(
contract, exchange, TimeBarType.MINUTE_BAR, 1
)
self._subscribed.append(canonical)
# Initialize bar buffer
self._bar_buffers[f"{canonical}_M1"] = deque(
maxlen=self._max_bar_buffer
)
log.info(
f" Subscribed: {canonical} ({contract}@{exchange})"
)
except Exception as e:
log.warning(
f" Subscribe failed for {canonical} "
f"({contract}@{exchange}): {e}"
)
if self._subscribed:
self._connected = True
log.info(
f"Rithmic connected: {self._system_name} | "
f"Subscribed: {len(self._subscribed)} symbols | "
f"URL: {self._url}"
)
return True
else:
log.error("No symbols subscribed — connection not useful")
await self._async_disconnect()
return False
except Exception as e:
log.error(f"Rithmic async connect failed: {e}")
return False
def disconnect(self) -> None:
"""
Synchronous disconnect — for use in non-async contexts.
In production, use async_disconnect() instead, or this method
will schedule the disconnect in the running event loop.
"""
if not self._connected:
return
# If we have a reference to the event loop and it's running,
# schedule the async disconnect
if self._loop and self._loop.is_running():
future = asyncio.run_coroutine_threadsafe(
self._async_disconnect(), self._loop
)
try:
future.result(timeout=10)
except Exception as e:
log.warning(f"Rithmic disconnect error: {e}")
else:
# No running loop — try asyncio.run as last resort
try:
asyncio.run(self._async_disconnect())
except Exception:
pass
self._connected = False
self._subscribed.clear()
self._front_months.clear()
self._reverse_map.clear()
self._tick_cache.clear()
self._bar_buffers.clear()
self._client = None
log.info("Rithmic disconnected")
async def async_disconnect(self) -> None:
"""Async disconnect — called from lifespan shutdown."""
await self._async_disconnect()
self._connected = False
self._subscribed.clear()
self._front_months.clear()
self._reverse_map.clear()
self._tick_cache.clear()
self._bar_buffers.clear()
self._client = None
log.info("Rithmic disconnected")
def heartbeat(self) -> bool:
"""Check if the Rithmic connection is alive."""
# async_rithmic handles heartbeats internally
return self._connected
# ── Market Data ──
def get_latest_ticks(self, symbols: List[str]) -> Dict[str, TickData]:
"""Return latest cached ticks for requested symbols."""
result = {}
for s in symbols:
if s in self._tick_cache:
result[s] = self._tick_cache[s]
return result
def get_bars(
self, ticker: str, timeframe: str = "M15", count: int = 200
) -> List[BarData]:
"""
Fetch bars for a canonical ticker.
Checks local buffer first. If not enough bars, fetches from
Rithmic history plant via the event loop.
"""
if ticker not in self._front_months:
return []
# Check buffer first
buf_key = f"{ticker}_{timeframe}"
if buf_key in self._bar_buffers:
bars = list(self._bar_buffers[buf_key])
if len(bars) >= count:
return bars[-count:]
# Fetch from history — need the event loop
if not self._loop or not self._loop.is_running():
return []
try:
future = asyncio.run_coroutine_threadsafe(
self._async_get_bars(ticker, timeframe, count),
self._loop,
)
return future.result(timeout=30)
except Exception as e:
log.warning(f"[{ticker}] Historical bar fetch failed: {e}")
return []
def check_new_bars(
self, symbols: List[str], timeframe: str = "M15"
) -> List[dict]:
"""Return bars received since last check."""
new_bars = []
for s in symbols:
buf_key = f"{s}_{timeframe}"
if buf_key not in self._bar_buffers:
continue
track_key = f"{s}_{timeframe}"
last_time = self._last_bar_times.get(track_key)
buf = self._bar_buffers[buf_key]
for bar in buf:
if last_time is None or bar.time > last_time:
new_bars.append({
"type": "bar",
"ticker": s,
"timeframe": timeframe,
"bar": bar.to_dict(),
})
self._last_bar_times[track_key] = bar.time
return new_bars
def get_symbol_info(self, ticker: str) -> Optional[SymbolInfo]:
"""Return static futures contract metadata."""
if ticker not in self._symbol_map:
return None
mapping = self._symbol_map[ticker]
base = mapping["base"]
spec = FUTURES_SPECS.get(base)
if not spec:
return None
broker_symbol = self._front_months.get(ticker, base)
return SymbolInfo(
ticker=ticker,
broker_symbol=broker_symbol,
asset_class="FUTURES",
decimals=spec["decimals"],
description=spec["description"],
trade_allowed=False,
min_lot=spec["min_lot"],
max_lot=spec["max_lot"],
lot_step=spec["lot_step"],
contract_size=spec["contract_size"],
currency_profit=spec["currency"],
currency_margin=spec["currency"],
tick_size=spec["tick_size"],
tick_value=spec["tick_value"],
)
def get_account_info(self) -> Optional[AccountInfo]:
"""Not applicable for data-only provider."""
return None
# ── Symbol Resolution ──
def resolve_symbol(self, canonical: str) -> Optional[str]:
"""Map canonical ticker to resolved Rithmic contract code."""
return self._front_months.get(canonical)
def resolve_universe(self, universe: List[str]) -> List[str]:
"""Return which universe tickers this provider can serve."""
return [t for t in universe if t in self._front_months]
def get_available_symbols(self) -> List[str]:
"""Return canonical symbols that were successfully subscribed."""
return list(self._subscribed)
# ============================================================
# INTERNAL — Async Operations
# ============================================================
async def _async_disconnect(self) -> None:
"""Async cleanup: unsubscribe and disconnect."""
if not self._client:
return
try:
for canonical in self._subscribed:
if canonical not in self._front_months:
continue
contract = self._front_months[canonical]
exchange = self._symbol_map[canonical]["exchange"]
try:
await self._client.unsubscribe_from_market_data(
contract, exchange,
DataType.LAST_TRADE | DataType.BBO,
)
await self._client.unsubscribe_from_time_bar_data(
contract, exchange, TimeBarType.MINUTE_BAR, 1,
)
except Exception:
pass
await self._client.disconnect()
except Exception as e:
log.warning(f"Rithmic async disconnect error: {e}")
async def _async_get_bars(
self, ticker: str, timeframe: str, count: int
) -> List[BarData]:
"""Fetch historical time bars from Rithmic history plant."""
if ticker not in self._front_months or not self._client:
return []
contract = self._front_months[ticker]
exchange = self._symbol_map[ticker]["exchange"]
tf_info = RITHMIC_TF_MAP.get(timeframe)
if not tf_info:
log.warning(f"[{ticker}] Unsupported timeframe: {timeframe}")
return []
bar_type_name, period = tf_info
if bar_type_name == "MINUTE_BAR":
bar_type = TimeBarType.MINUTE_BAR
elif bar_type_name == "DAILY_BAR":
bar_type = TimeBarType.DAILY_BAR
else:
bar_type = TimeBarType.MINUTE_BAR
# Calculate time window
minutes_per_bar = TF_MINUTES.get(timeframe, 15)
total_minutes = int(count * minutes_per_bar * 1.2) # 20% buffer
end_time = datetime.now(timezone.utc)
start_time = end_time - timedelta(minutes=total_minutes)
try:
raw_bars = await self._client.get_time_bars(
contract, exchange, bar_type, period,
start_time, end_time,
)
bars = []
for rb in raw_bars:
bar = self._parse_bar(rb)
if bar:
bars.append(bar)
bars.sort(key=lambda b: b.time)
bars = bars[-count:]
# Cache in buffer
buf_key = f"{ticker}_{timeframe}"
self._bar_buffers[buf_key] = deque(bars, maxlen=self._max_bar_buffer)
log.info(
f"[{ticker}] Fetched {len(bars)} {timeframe} bars "
f"from Rithmic history"
)
return bars
except AttributeError:
log.warning(
f"[{ticker}] get_time_bars() not available. "
f"Bars will accumulate from live stream."
)
return []
except Exception as e:
log.warning(f"[{ticker}] Historical bar fetch error: {e}")
return []
# ============================================================
# INTERNAL — Streaming Callbacks
# ============================================================
async def _on_tick(self, data: dict) -> None:
"""Callback for live tick data. Updates tick cache."""
try:
security_code = data.get("symbol", "")
canonical = self._reverse_map.get(security_code)
if not canonical:
return
data_type = data.get("data_type")
presence = data.get("presence_bits", 0)
# Preserve existing values
existing = self._tick_cache.get(canonical)
bid = existing.bid if existing else 0.0
ask = existing.ask if existing else 0.0
last = existing.last if existing else 0.0
if data_type == DataType.BBO:
if presence & BestBidOfferPresenceBits.BID:
bid = float(data.get("bid_price", bid))
if presence & BestBidOfferPresenceBits.ASK:
ask = float(data.get("ask_price", ask))
elif data_type == DataType.LAST_TRADE:
if presence & LastTradePresenceBits.LAST_TRADE:
last = float(data.get("trade_price", last))
if bid > 0 or ask > 0 or last > 0:
now = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%S")
spread = round(ask - bid, 6) if (bid > 0 and ask > 0) else 0.0
if last == 0 and bid > 0:
last = (bid + ask) / 2
self._tick_cache[canonical] = TickData(
ticker=canonical,
bid=bid,
ask=ask,
last=last,
time=now,
spread=spread,
)
except Exception as e:
log.debug(f"Tick callback error: {e}")
async def _on_time_bar(self, data: dict) -> None:
"""Callback for live time bar data. Adds to ring buffer."""
try:
security_code = data.get("symbol", "")
canonical = self._reverse_map.get(security_code)
if not canonical:
return
bar = self._parse_bar(data)
if not bar:
return
period = data.get("period", 1)
tf_key = self._period_to_tf(period)
buf_key = f"{canonical}_{tf_key}"
if buf_key not in self._bar_buffers:
self._bar_buffers[buf_key] = deque(
maxlen=self._max_bar_buffer
)
self._bar_buffers[buf_key].append(bar)
except Exception as e:
log.debug(f"Time bar callback error: {e}")
# ============================================================
# INTERNAL — Helpers
# ============================================================
def _parse_bar(self, data: dict) -> Optional[BarData]:
"""Parse a raw Rithmic bar dict into a BarData object."""
try:
open_p = float(data.get("open_price", data.get("open", 0)))
high_p = float(data.get("high_price", data.get("high", 0)))
low_p = float(data.get("low_price", data.get("low", 0)))
close_p = float(data.get("close_price", data.get("close", 0)))
volume = int(data.get("volume", 0))
bar_time = data.get("bar_end_time", data.get("time", ""))
if isinstance(bar_time, datetime):
time_str = bar_time.strftime("%Y-%m-%dT%H:%M:%S")
elif isinstance(bar_time, (int, float)):
time_str = datetime.fromtimestamp(
bar_time, tz=timezone.utc
).strftime("%Y-%m-%dT%H:%M:%S")
else:
time_str = str(bar_time)
if open_p == 0 and close_p == 0:
return None
return BarData(
time=time_str,
open=open_p,
high=high_p,
low=low_p,
close=close_p,
volume=volume,
)
except Exception:
return None
@staticmethod
def _period_to_tf(period: int) -> str:
"""Convert minute period to our timeframe string."""
tf_map = {1: "M1", 5: "M5", 15: "M15", 30: "M30", 60: "H1", 240: "H4"}
return tf_map.get(period, "M1")
+454
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@@ -0,0 +1,454 @@
# version: v1
"""
================================================================================
Quantum Terminal — Tradovate Provider (POC)
Proof-of-work integration with Tradovate for users who don't run MT5.
What this does:
· Authenticates against /auth/accesstokenrequest (REST)
· Resolves CFD-style tickers (XAUUSD, US500, ...) → Tradovate futures roots
(GC, ES, ...) → front-month contracts (GCM6, ESM6, ...)
· Fetches historical bars over the market-data WebSocket (md/getChart)
What this does NOT do (deferred to later phases):
· Live tick streaming (comes next)
· Order placement (futures orders are quite different from CFDs)
· Price conversion between CFD and futures price space
· Rollover-adjusted continuous contracts
· Settlement/margin accounting
Reversibility: this file is standalone. Nothing in MT5 or the base terminal
touches it. Delete the file + one route-include line and Tradovate goes
away entirely.
================================================================================
"""
import asyncio
import json
import logging
import time
from dataclasses import dataclass, field
from datetime import datetime, timedelta, timezone
from typing import Any, Dict, List, Optional
log = logging.getLogger("tradovate_provider")
# ─── Dependencies (both already in consumer_venv) ────────────────────────
try:
import httpx
except ImportError:
httpx = None
log.warning("httpx not installed — Tradovate provider will be inert")
try:
import websockets
except ImportError:
websockets = None
log.warning("websockets not installed — Tradovate provider will be inert")
# ─── Endpoint config ─────────────────────────────────────────────────────
ENDPOINTS = {
"demo": {
"rest": "https://demo.tradovateapi.com/v1",
"md_ws": "wss://md-demo.tradovateapi.com/v1/websocket",
},
"live": {
"rest": "https://live.tradovateapi.com/v1",
"md_ws": "wss://md.tradovateapi.com/v1/websocket",
},
}
# ─── CFD → Futures root map (POC v1) ────────────────────────────────────
# Add more entries as we validate them. Unmapped tickers raise a clean
# "symbol not supported by Tradovate" error rather than crashing.
CFD_TO_FUTURES_ROOT = {
"XAUUSD": "GC", # Gold futures (100 oz, COMEX)
"XAGUSD": "SI", # Silver futures (5,000 oz, COMEX)
"XTIUSD": "CL", # Crude oil futures (1,000 bbl, NYMEX)
"US500": "ES", # E-mini S&P 500 (CME)
"USTEC": "NQ", # E-mini Nasdaq 100 (CME)
"GER40": "FDAX", # DAX futures (Eurex) — requires exchange subscription
"BTCUSD": "BTC", # Micro Bitcoin or BTC futures (CME)
# FX / UK100 / SOLUSD intentionally unmapped for POC.
}
# ─── Futures month codes ────────────────────────────────────────────────
MONTH_CODES = {1:"F", 2:"G", 3:"H", 4:"J", 5:"K", 6:"M",
7:"N", 8:"Q", 9:"U", 10:"V", 11:"X", 12:"Z"}
# Which months does each product expire in?
# Quarterlies = Mar/Jun/Sep/Dec, monthly = every month, bi-monthly = even months.
PRODUCT_EXPIRY_MONTHS = {
"ES": [3, 6, 9, 12], # E-mini S&P — quarterly
"NQ": [3, 6, 9, 12],
"GC": [2, 4, 6, 8, 10, 12], # Gold — bi-monthly
"SI": [1, 3, 5, 7, 9, 12], # Silver — not every month
"CL": list(range(1, 13)), # Crude — monthly
"BTC": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], # Bitcoin — monthly
"FDAX":[3, 6, 9, 12],
}
# ─── Timeframe → Tradovate chart description ────────────────────────────
def _tf_to_chart_desc(timeframe: str) -> Dict[str, Any]:
tf_map = {
"M1": ("MinuteBar", 1),
"M5": ("MinuteBar", 5),
"M15": ("MinuteBar", 15),
"M30": ("MinuteBar", 30),
"H1": ("MinuteBar", 60),
"H4": ("MinuteBar", 240),
"D1": ("DailyBar", 1),
}
underlying, size = tf_map.get(timeframe.upper(), ("MinuteBar", 15))
return {
"underlyingType": underlying,
"elementSize": size,
"elementSizeUnit": "UnderlyingUnits",
"withHistogram": False,
}
@dataclass
class TradovateAuth:
access_token: str = ""
md_access_token: str = ""
user_id: int = 0
name: str = ""
has_live: bool = False
user_status: str = ""
expires_at: float = 0.0 # epoch seconds
md_expires_at: float = 0.0
def is_valid(self) -> bool:
return bool(self.access_token) and time.time() < self.expires_at - 30
class TradovateProvider:
"""POC Tradovate provider. Not a full BaseProvider subclass yet —
we'll upgrade to that once the smoke test passes. For now it exposes
the methods tradovate_routes.py needs to service the POC endpoint."""
def __init__(self, config: Dict[str, Any]):
self._config = config
self._auth = TradovateAuth()
self._last_error: str = ""
# ── Config updates (called from PATCH /api/tradovate/config) ──
def update_config(self, new_config: Dict[str, Any]) -> None:
self._config.update(new_config or {})
# Invalidate cached auth so the next connect uses new creds.
self._auth = TradovateAuth()
@property
def connected(self) -> bool:
return self._auth.is_valid()
@property
def is_delayed(self) -> bool:
# Free Tradovate demo accounts are delayed 10 minutes for most CME
# products. hasLive=True means the user has paid live market data;
# False means delayed. Real instrument-by-instrument delay info comes
# from md/getContract-like queries — POC just surfaces the boolean.
return not self._auth.has_live
@property
def status_dict(self) -> Dict[str, Any]:
return {
"connected": self.connected,
"user_id": self._auth.user_id,
"name": self._auth.name,
"user_status": self._auth.user_status,
"has_live": self._auth.has_live,
"delayed": self.is_delayed,
"env": self._config.get("env", "demo"),
"expires_at": self._auth.expires_at,
"error": self._last_error,
}
# ── Authentication ────────────────────────────────────────────
async def authenticate(self) -> Dict[str, Any]:
self._last_error = ""
if httpx is None:
self._last_error = "httpx not installed in venv"
return {"success": False, "error": self._last_error}
cfg = self._config
env = (cfg.get("env") or "demo").lower()
if env not in ENDPOINTS:
self._last_error = f"unknown env '{env}' (expected demo or live)"
return {"success": False, "error": self._last_error}
required = ["app_id", "cid", "sec", "username", "password"]
missing = [k for k in required if not cfg.get(k)]
if missing:
self._last_error = f"missing creds: {', '.join(missing)}"
return {"success": False, "error": self._last_error}
url = ENDPOINTS[env]["rest"] + "/auth/accesstokenrequest"
body = {
"name": cfg["username"],
"password": cfg["password"],
"appId": cfg["app_id"],
"appVersion": cfg.get("app_version", "1.0"),
"cid": int(cfg["cid"]),
"sec": cfg["sec"],
"deviceId": cfg.get("device_id", "QuantumTerminal-consumer-poc"),
}
try:
async with httpx.AsyncClient(timeout=15.0) as client:
r = await client.post(url, json=body)
if r.status_code != 200:
self._last_error = f"HTTP {r.status_code}: {r.text[:200]}"
return {"success": False, "error": self._last_error}
data = r.json()
except Exception as e:
self._last_error = f"auth request failed: {e}"
log.error(self._last_error)
return {"success": False, "error": self._last_error}
# Tradovate returns error info inside a 200 response for bad creds
err_code = data.get("errorText") or data.get("p-ticket")
if err_code and not data.get("accessToken"):
self._last_error = f"tradovate rejected auth: {err_code}"
return {"success": False, "error": self._last_error}
# Parse token expiration — Tradovate returns ISO8601 in expirationTime
def _parse_iso(s):
if not s:
return time.time() + 4000 # ~66 min fallback
try:
s = s.replace("Z", "+00:00")
return datetime.fromisoformat(s).timestamp()
except Exception:
return time.time() + 4000
self._auth = TradovateAuth(
access_token = data.get("accessToken", ""),
md_access_token= data.get("mdAccessToken", ""),
user_id = data.get("userId", 0) or 0,
name = data.get("name", "") or cfg["username"],
has_live = bool(data.get("hasLive", False)),
user_status = data.get("userStatus", "") or "",
expires_at = _parse_iso(data.get("expirationTime")),
md_expires_at = _parse_iso(data.get("expirationTime")),
)
if not self._auth.access_token:
self._last_error = "no accessToken in response"
return {"success": False, "error": self._last_error}
return {"success": True, **self.status_dict}
def disconnect(self) -> None:
self._auth = TradovateAuth()
self._last_error = ""
# ── Symbol resolution ─────────────────────────────────────────
def _resolve_root(self, ticker: str) -> Optional[str]:
t = (ticker or "").upper()
if t in CFD_TO_FUTURES_ROOT:
return CFD_TO_FUTURES_ROOT[t]
# Pass-through: if the user passes a root directly (e.g. "GC"), accept
if t in PRODUCT_EXPIRY_MONTHS:
return t
return None
def _front_month_contract(self, root: str, today: Optional[datetime] = None) -> str:
"""Cheap calendar-based front-month resolver. Good enough for POC.
For production we should hit /contract/suggest for accurate roll
timing (contracts roll a few days before the last notice date).
"""
months = PRODUCT_EXPIRY_MONTHS.get(root)
if not months:
# Default to quarterly if unknown
months = [3, 6, 9, 12]
now = today or datetime.now(timezone.utc)
y, m = now.year, now.month
# Pick the next expiry month that's >= current month. Add 5-day lead
# to avoid the last-trading-day rush — we want the LIQUID contract.
lead_day = now.day >= 10
candidate_month = None
for mm in months:
if mm > m or (mm == m and not lead_day):
candidate_month = mm
break
if candidate_month is None:
# Wrap to next year's first expiry month
candidate_month = months[0]
y += 1
return f"{root}{MONTH_CODES[candidate_month]}{y % 10}"
async def resolve_contract_via_api(self, root: str) -> Optional[str]:
"""Ask Tradovate to suggest the current tradeable contract. Used as
a fallback/verification — if this disagrees with the calendar
heuristic we prefer this answer."""
if httpx is None or not self._auth.access_token:
return None
url = ENDPOINTS[self._config.get("env", "demo")]["rest"] + "/contract/suggest"
try:
async with httpx.AsyncClient(timeout=10.0) as client:
r = await client.get(
url, params={"t": root, "l": 5},
headers={"Authorization": f"Bearer {self._auth.access_token}"},
)
if r.status_code != 200:
return None
contracts = r.json() or []
# Return the shortest-name contract (usually the front month).
if contracts:
contracts.sort(key=lambda c: len(c.get("name", "")))
return contracts[0].get("name")
except Exception as e:
log.warning(f"contract/suggest failed for {root}: {e}")
return None
# ── Market-data WebSocket helpers ─────────────────────────────
async def _ws_fetch_bars(self, contract: str, timeframe: str, count: int) -> List[Dict[str, Any]]:
"""Open a one-shot WebSocket, auth, request bars, return them."""
if websockets is None or not self._auth.md_access_token:
raise RuntimeError("not authenticated or websockets missing")
env = self._config.get("env", "demo")
url = ENDPOINTS[env]["md_ws"]
# Tradovate WebSocket protocol: each message is a plaintext frame
# <endpoint>\n<id>\n\n<body>
# Responses come as JSON arrays prefixed by "a" (for "array frames")
# and single-letter frames "o" (open), "h" (heartbeat), "c" (close).
def _encode(endpoint: str, msg_id: int, body: Any = "") -> str:
body_str = json.dumps(body) if not isinstance(body, str) else body
return f"{endpoint}\n{msg_id}\n\n{body_str}"
bars: List[Dict[str, Any]] = []
base_price = 0.0
tick_size = 0.01
tick_mult = 1.0
try:
async with websockets.connect(url, ping_interval=20, ping_timeout=20) as ws:
# 1st server frame should be "o"
open_frame = await asyncio.wait_for(ws.recv(), timeout=10.0)
if not (isinstance(open_frame, str) and open_frame.startswith("o")):
raise RuntimeError(f"unexpected open frame: {open_frame!r}")
# Authorize with MD token
await ws.send(_encode("authorize", 1, self._auth.md_access_token))
# Request chart
chart_req = {
"symbol": contract,
"chartDescription": _tf_to_chart_desc(timeframe),
"timeRange": {"asMuchAsElements": max(1, min(int(count), 2000))},
}
await ws.send(_encode("md/getChart", 2, chart_req))
# Read frames until we receive the charts packet for our id
deadline = time.time() + 20.0
subscription_id: Optional[int] = None
while time.time() < deadline and len(bars) < count:
try:
frame = await asyncio.wait_for(ws.recv(), timeout=5.0)
except asyncio.TimeoutError:
break
if not isinstance(frame, str):
continue
# "h" = heartbeat — send one back to stay alive
if frame == "h":
await ws.send("[]")
continue
if frame.startswith("a"):
try:
arr = json.loads(frame[1:])
except Exception:
continue
for item in arr or []:
# Response to md/getChart (id=2) returns subscription id
if item.get("i") == 2 and item.get("s") == 200:
body = item.get("d") or {}
subscription_id = body.get("subscriptionId") or body.get("id")
# Streaming chart data comes with "e": "chart"
if item.get("e") == "chart":
cd = item.get("d") or {}
charts = cd.get("charts") or []
for ch in charts:
base_price = ch.get("bp", base_price)
tick_size = ch.get("ts", tick_size) or tick_size
tick_mult = ch.get("tm", tick_mult) or tick_mult
raw_bars = ch.get("bars") or []
for b in raw_bars:
bars.append(_decode_bar(b, base_price, tick_size, tick_mult))
# Clean up — unsubscribe if we got a subscription id
if subscription_id is not None:
try:
await ws.send(_encode("md/cancelChart", 3, {"subscriptionId": subscription_id}))
except Exception:
pass
except Exception as e:
self._last_error = f"ws fetch failed: {e}"
log.error(self._last_error)
raise
return bars[-count:] if len(bars) > count else bars
async def get_bars(self, ticker: str, timeframe: str = "M15", count: int = 200) -> List[Dict[str, Any]]:
"""Main entry point. Maps ticker → contract, fetches bars via WS."""
if not self._auth.is_valid():
raise RuntimeError("not authenticated")
root = self._resolve_root(ticker)
if not root:
raise ValueError(f"{ticker} not mapped to a Tradovate futures root")
# Try API-based resolution first, fall back to calendar heuristic.
contract = await self.resolve_contract_via_api(root)
if not contract:
contract = self._front_month_contract(root)
bars = await self._ws_fetch_bars(contract, timeframe, count)
return bars
# ─── Bar decoding helper ──────────────────────────────────────────
def _decode_bar(b: Dict[str, Any], base_price: float, tick_size: float, tick_mult: float) -> Dict[str, Any]:
"""Tradovate returns bars with fields encoded as offsets from a base
price in tick units. Decode to absolute OHLC floats."""
# Some Tradovate responses send bars already in absolute prices; others
# send deltas. Handle both by checking if base_price + tick_size make
# the output make sense.
def _px(val):
if val is None:
return None
# Heuristic: if val is very small (|val| < 1e6) and base_price > 0
# and tick_size > 0, treat as offset. Otherwise treat as absolute.
if base_price > 0 and tick_size > 0 and abs(val) < 1_000_000:
return base_price + (val * tick_size * (tick_mult or 1))
return float(val)
ts = b.get("timestamp") or b.get("t")
# timestamp can be ISO string or epoch ms
if isinstance(ts, (int, float)):
iso = datetime.fromtimestamp(ts / (1000 if ts > 1e11 else 1), tz=timezone.utc) \
.strftime("%Y-%m-%dT%H:%M:%S")
elif isinstance(ts, str):
iso = ts.replace("Z", "").split(".")[0]
else:
iso = ""
return {
"time": iso,
"open": _px(b.get("open")) or 0.0,
"high": _px(b.get("high")) or 0.0,
"low": _px(b.get("low")) or 0.0,
"close": _px(b.get("close")) or 0.0,
"volume": int(b.get("upVolume", 0) or 0) + int(b.get("downVolume", 0) or 0)
or int(b.get("volume", 0) or 0),
}
# ─── Singleton accessor (one provider instance per process) ─────
_instance: Optional[TradovateProvider] = None
def get_tradovate_provider(config: Optional[Dict[str, Any]] = None) -> TradovateProvider:
global _instance
if _instance is None:
_instance = TradovateProvider(config or {})
elif config:
_instance.update_config(config)
return _instance