058ef57d8f
- Restore XAU/USD (Pro plan), drop USD/CAD, raise rate limit to 55/min - Reduce signal engine to 4 uncorrelated pillars (EMA, RSI, BB, Candlestick) with regime-adaptive weights (trending boosts EMA, ranging boosts RSI+BB) - Add structure-based S/R (swing highs/lows) for trade setup targeting - Fix confidence death spiral: all adjustments now additive, not multiplicative - Dynamic R:R trade setup: SL behind swing level, TP at next structure level, reject if R:R < 1.5 - Fix news engine for all 4 pairs (was hardcoded to USDJPY) - Add WebSocket monitor: streams live ticks, triggers M15 scan on level breach with 5-min cooldown per pair — catches breakouts between candle boundaries - Add correlation filter (EUR/USD+GBP/USD, XAU/USD+USD/JPY exposure warnings)
714 lines
25 KiB
Python
Executable File
714 lines
25 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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ForexBot2 — Telegram Bot
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========================
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Async Telegram interface with candle-boundary auto-scanner and
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real-time WebSocket level-breach monitor.
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Manual scan: 4 pairs × 4 timeframes via inline buttons.
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Auto-scan: Starts automatically on boot if TELEGRAM_CHAT_ID is set.
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/autoscan toggles for additional chats or to stop.
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M5 fires at :00/:05/:10/… + 10s buffer.
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M15 fires at :00/:15/:30/:45 + 10s buffer.
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H1 fires at :00 + 10s buffer.
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H4 fires at :00 every 4 hours + 10s buffer.
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WebSocket: Streams live ticks from TwelveData for all 4 pairs.
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When price crosses a key structure level (swing S/R, BB,
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EMA200) cached from the last boundary scan, triggers an
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immediate M15 scan and sends a Level Break Alert.
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5-minute cooldown per pair prevents spam.
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Plan: TwelveData Pro (55 credits/min, 1500 WS credits).
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Credit budget (worst case, 4-hour boundary):
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Unique fetches: 4 pairs × ~6 TFs = ~24 calls (rest cached) → fits in 55/min.
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WebSocket: 4 symbols = 4 credits (one-time on connect).
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Level breach scans: ~3 REST calls each, ~10/hour worst case.
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Usage:
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python telegram_bot.py
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TELEGRAM_TOKEN=<token> TELEGRAM_CHAT_ID=<id> python telegram_bot.py
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"""
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import asyncio
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import json
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import logging
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import os
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import sys
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import time
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from concurrent.futures import ThreadPoolExecutor
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from datetime import datetime, timezone
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from typing import Dict, List, Optional
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import websockets
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from telegram import InlineKeyboardButton, InlineKeyboardMarkup, Update
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from telegram.constants import ParseMode
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from telegram.ext import (
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Application,
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CallbackQueryHandler,
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CommandHandler,
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ContextTypes,
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)
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from config import (
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PlatformConfig, SignalStrength, Timeframe,
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EURUSD, USDJPY, GBPUSD, XAUUSD, PAIR_INFO,
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)
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from data_provider import ForexDataProvider
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from signal_aggregator import SignalAggregator, SignalReport
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# ── Force UTF-8 on Windows ────────────────────────────────────────────
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if hasattr(sys.stdout, "reconfigure"):
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sys.stdout.reconfigure(encoding="utf-8")
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logging.basicConfig(
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format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
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level=logging.INFO,
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datefmt="%H:%M:%S",
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)
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logging.getLogger("httpx").setLevel(logging.WARNING)
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logging.getLogger("httpcore").setLevel(logging.WARNING)
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logger = logging.getLogger("telegram_bot")
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TOKEN = os.environ.get("TELEGRAM_TOKEN", "8228251480:AAFW2OAyQ2idMicql2t_CIXk1r9-qfRTfNE")
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CHAT_ID = os.environ.get("TELEGRAM_CHAT_ID", "6025899022")
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# ── Pairs & buttons ───────────────────────────────────────────────────
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SCAN_PAIRS = [EURUSD, USDJPY, GBPUSD, XAUUSD]
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CORRELATION_GROUPS = {
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"usd_negative": {"pairs": {EURUSD, GBPUSD}, "label": "USD-weakness"},
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"risk_sentiment": {"pairs": {XAUUSD, USDJPY}, "label": "Risk-sentiment"},
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}
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_WS_TO_PAIR = {
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"EUR/USD": EURUSD,
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"GBP/USD": GBPUSD,
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"USD/JPY": USDJPY,
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"XAU/USD": XAUUSD,
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}
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_WS_SYMBOLS = list(_WS_TO_PAIR.keys())
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_LEVEL_KEYS = (
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"swing_high_1", "swing_high_2", "swing_high_3",
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"swing_low_1", "swing_low_2", "swing_low_3",
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"bb_upper", "bb_lower", "ema_trend",
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)
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SCAN_BUTTONS = [
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{"cb": "scan_eurusd_m5", "symbol": EURUSD, "tf": Timeframe.M5, "label": "EUR/USD 5M"},
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{"cb": "scan_eurusd_m15", "symbol": EURUSD, "tf": Timeframe.M15, "label": "EUR/USD 15M"},
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{"cb": "scan_eurusd_h1", "symbol": EURUSD, "tf": Timeframe.H1, "label": "EUR/USD 1H"},
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{"cb": "scan_eurusd_h4", "symbol": EURUSD, "tf": Timeframe.H4, "label": "EUR/USD 4H"},
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{"cb": "scan_usdjpy_m5", "symbol": USDJPY, "tf": Timeframe.M5, "label": "USD/JPY 5M"},
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{"cb": "scan_usdjpy_m15", "symbol": USDJPY, "tf": Timeframe.M15, "label": "USD/JPY 15M"},
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{"cb": "scan_usdjpy_h1", "symbol": USDJPY, "tf": Timeframe.H1, "label": "USD/JPY 1H"},
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{"cb": "scan_usdjpy_h4", "symbol": USDJPY, "tf": Timeframe.H4, "label": "USD/JPY 4H"},
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{"cb": "scan_gbpusd_m5", "symbol": GBPUSD, "tf": Timeframe.M5, "label": "GBP/USD 5M"},
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{"cb": "scan_gbpusd_m15", "symbol": GBPUSD, "tf": Timeframe.M15, "label": "GBP/USD 15M"},
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{"cb": "scan_gbpusd_h1", "symbol": GBPUSD, "tf": Timeframe.H1, "label": "GBP/USD 1H"},
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{"cb": "scan_gbpusd_h4", "symbol": GBPUSD, "tf": Timeframe.H4, "label": "GBP/USD 4H"},
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{"cb": "scan_xauusd_m5", "symbol": XAUUSD, "tf": Timeframe.M5, "label": "XAU/USD 5M"},
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{"cb": "scan_xauusd_m15", "symbol": XAUUSD, "tf": Timeframe.M15, "label": "XAU/USD 15M"},
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{"cb": "scan_xauusd_h1", "symbol": XAUUSD, "tf": Timeframe.H1, "label": "XAU/USD 1H"},
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{"cb": "scan_xauusd_h4", "symbol": XAUUSD, "tf": Timeframe.H4, "label": "XAU/USD 4H"},
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]
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SCAN_LOOKUP = {b["cb"]: b for b in SCAN_BUTTONS}
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TF_CONFIRMATIONS = {
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Timeframe.M5: [Timeframe.M15, Timeframe.H1],
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Timeframe.M15: [Timeframe.M5, Timeframe.H1],
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Timeframe.H1: [Timeframe.M15, Timeframe.H4],
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Timeframe.H4: [Timeframe.H1, Timeframe.D1],
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}
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AUTOSCAN_CONFIRMATIONS = {
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Timeframe.M5: [Timeframe.M15, Timeframe.H1],
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Timeframe.M15: [Timeframe.M5, Timeframe.H1],
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Timeframe.H1: [Timeframe.M15, Timeframe.H4],
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Timeframe.H4: [Timeframe.H1, Timeframe.D1],
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}
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_executor = ThreadPoolExecutor(max_workers=2)
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# ── Shared data provider (single cache across all scans) ─────────────
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_shared_dp: Optional[ForexDataProvider] = None
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def _get_shared_dp() -> ForexDataProvider:
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global _shared_dp
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if _shared_dp is None:
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_shared_dp = ForexDataProvider(PlatformConfig())
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return _shared_dp
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# ── Signal formatting ─────────────────────────────────────────────────
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_SIGNAL_EMOJI = {
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SignalStrength.STRONG_BUY: "🟢",
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SignalStrength.BUY: "🟩",
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SignalStrength.NEUTRAL: "⬜",
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SignalStrength.SELL: "🟥",
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SignalStrength.STRONG_SELL: "🔴",
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}
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_QUALITY_EMOJI = {
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"A+": "🏆", "A": "🥇", "B": "🥈", "C": "🥉", "D": "⚠️", "F": "❌",
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}
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_ARROW = {
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SignalStrength.STRONG_BUY: "⬆️",
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SignalStrength.BUY: "↗️",
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SignalStrength.NEUTRAL: "➡️",
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SignalStrength.SELL: "↘️",
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SignalStrength.STRONG_SELL: "⬇️",
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}
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def _signal_label(sig: SignalStrength) -> str:
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return sig.name.replace("_", " ")
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def _mtf_line(report: SignalReport) -> str:
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if not report.mtf_signals:
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return ""
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parts = []
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for tf, sig in report.mtf_signals.items():
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score = report.mtf_scores.get(tf, 0)
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parts.append(f"{tf}: {_signal_label(sig)} {score:+.1f}")
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return " | ".join(parts)
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def _indicator_line(name: str, ind) -> str:
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arrow = _ARROW.get(ind.signal, "➡️")
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short = ind.description.split(" | ")[0] if " | " in ind.description else ind.description
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return f"{arrow} *{ind.name}*: {short}"
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def format_signal_message(report: SignalReport) -> str:
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sig = report.final_signal
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emoji = _SIGNAL_EMOJI.get(sig, "⬜")
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qe = _QUALITY_EMOJI.get(report.signal_quality, "")
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label = _signal_label(sig)
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mtf_tag = "✅ MTF aligned" if report.mtf_agreement else "❌ MTF diverged"
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lines: list[str] = []
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now = datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M UTC")
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lines += [
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f"🔍 *{report.display_name} Signal Analysis* ({report.primary_analysis.timeframe if report.primary_analysis else ''})",
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f"🕐 {now}",
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"",
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f"💰 Price: *{report.current_price:.5f}*" if report.current_price < 10 else f"💰 Price: *{report.current_price:.3f}*",
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f"📊 Regime: {report.market_regime.replace('_', ' ').title()} | Vol: {report.volatility_regime}",
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"",
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"━━━━━━━━━━━━━━━━━━━━",
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f"{emoji} *{label}* {qe}{report.signal_quality} | Score: {report.final_score:+.1f} | {report.final_confidence:.0f}% conf",
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f"_{report.action_recommendation}_",
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f"{mtf_tag}",
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]
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mtf = _mtf_line(report)
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if mtf:
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lines += ["", f"📈 *MTF*: {mtf}"]
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if report.primary_analysis:
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lines += ["", "━━━━━━━━━━━━━━━━━━━━", "📋 *Indicators*"]
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for name, ind in report.primary_analysis.indicators.items():
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if name.startswith("_") or ind.weight == 0:
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continue
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lines.append(_indicator_line(name, ind))
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if report.warnings:
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lines.append("")
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for w in report.warnings:
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lines.append(f"⚠️ {w}")
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if report.trade_setup and sig in (SignalStrength.STRONG_BUY, SignalStrength.STRONG_SELL):
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ts = report.trade_setup
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dir_emoji = "📈" if ts.direction == "BUY" else "📉"
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lines += [
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"",
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"━━━━━━━━━━━━━━━━━━━━",
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f"🚀 *TRADE SETUP*",
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f"{dir_emoji} Direction: *{ts.direction}*",
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f"▶ Entry: `{ts.entry_price:.3f}`",
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f"🛑 SL: `{ts.stop_loss:.3f}` ({ts.risk_pips:.1f} pips)",
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f"🎯 TP1: `{ts.take_profit_1:.3f}` ({ts.reward_pips:.1f} pips)",
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]
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if ts.take_profit_2:
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lines.append(f"🎯 TP2: `{ts.take_profit_2:.3f}`")
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lines.append(f"⚖️ RR: 1:{ts.risk_reward:.1f}")
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lines += ["", "━━━━━━━━━━━━━━━━━━━━",
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"_Educational / research use only._"]
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return "\n".join(lines)
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# ── Correlation filter ───────────────────────────────────────────────
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def _detect_correlated_exposure(reports: List[SignalReport]) -> List[str]:
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warnings = []
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for group_info in CORRELATION_GROUPS.values():
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group_pairs = group_info["pairs"]
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group_label = group_info["label"]
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active = [
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r for r in reports
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if r.symbol in group_pairs
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and r.final_signal not in (SignalStrength.NEUTRAL,)
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]
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if len(active) >= 2:
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directions = set()
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for r in active:
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if r.final_signal in (SignalStrength.BUY, SignalStrength.STRONG_BUY):
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directions.add("BUY")
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else:
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directions.add("SELL")
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if len(directions) == 1:
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names = ", ".join(r.display_name for r in active)
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warnings.append(
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f"⚠️ Same exposure ({group_label}): {names} both {directions.pop()}"
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)
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return warnings
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# ── Auto-scan summary format ─────────────────────────────────────────
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def _format_scan_summary(reports: List[SignalReport], tf: Timeframe) -> str:
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now = datetime.now(timezone.utc).strftime("%H:%M UTC")
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lines = [
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f"📊 *{tf.value} Auto-Scan* | {now}",
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"━━━━━━━━━━━━━━━━━━━━",
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]
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for r in reports:
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emoji = _SIGNAL_EMOJI.get(r.final_signal, "⬜")
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sig = _signal_label(r.final_signal)
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mtf = "✅" if r.mtf_agreement else "❌"
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lines.append(
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f"{emoji} *{r.display_name}* {sig} "
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f"{_QUALITY_EMOJI.get(r.signal_quality, '')}{r.signal_quality} "
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f"{r.final_score:+.1f} {r.final_confidence:.0f}% {mtf}MTF"
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)
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lines.append("━━━━━━━━━━━━━━━━━━━━")
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actionable = [r for r in reports if r.signal_quality in ("A+", "A", "B")]
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if actionable:
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names = ", ".join(r.display_name for r in actionable)
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lines.append(f"🔔 Actionable: {names}")
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else:
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lines.append("No actionable signals this cycle.")
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corr_warnings = _detect_correlated_exposure(reports)
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for w in corr_warnings:
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lines.append(w)
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return "\n".join(lines)
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# ── Keyboard helper ───────────────────────────────────────────────────
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def scan_keyboard() -> InlineKeyboardMarkup:
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rows = []
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for i in range(0, len(SCAN_BUTTONS), 4):
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rows.append([
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InlineKeyboardButton(b["label"], callback_data=b["cb"])
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for b in SCAN_BUTTONS[i:i + 4]
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])
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return InlineKeyboardMarkup(rows)
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# ── Signal runner (shared data provider for cache reuse) ──────────────
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def _run_signal_sync(
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symbol: str,
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timeframe: Timeframe,
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confirmation_tfs: Optional[List[Timeframe]] = None,
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) -> SignalReport:
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if confirmation_tfs is None:
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confirmation_tfs = TF_CONFIRMATIONS.get(
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timeframe, [Timeframe.M15, Timeframe.H4]
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)
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config = PlatformConfig()
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config.primary_timeframe = timeframe
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config.confirmation_timeframes = confirmation_tfs
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aggregator = SignalAggregator(config)
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aggregator.data_provider = _get_shared_dp()
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return aggregator.analyze_pair(symbol=symbol)
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async def run_signal(
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symbol: str,
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timeframe: Timeframe,
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confirmation_tfs: Optional[List[Timeframe]] = None,
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) -> SignalReport:
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loop = asyncio.get_event_loop()
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return await loop.run_in_executor(
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_executor, _run_signal_sync, symbol, timeframe, confirmation_tfs
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)
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# ── Candle-boundary scheduler ────────────────────────────────────────
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_autoscan_chats: set[int] = set()
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_autoscan_tasks: list[asyncio.Task] = []
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def _seconds_until_boundary(interval_minutes: int, buffer: int = 10) -> float:
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"""Seconds until the next candle close + buffer."""
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now = datetime.now(timezone.utc)
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elapsed_minutes = now.minute % interval_minutes
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elapsed_seconds = elapsed_minutes * 60 + now.second + now.microsecond / 1e6
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interval_seconds = interval_minutes * 60
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remaining = interval_seconds - elapsed_seconds + buffer
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if remaining <= buffer:
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remaining += interval_seconds
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return remaining
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async def _scan_timeframe(
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bot,
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tf: Timeframe,
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confirmation_tfs: List[Timeframe],
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) -> None:
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"""Scan all pairs for one timeframe and broadcast results."""
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reports: List[SignalReport] = []
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for symbol in SCAN_PAIRS:
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try:
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report = await run_signal(symbol, tf, confirmation_tfs)
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reports.append(report)
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except Exception:
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logger.exception(f"Auto-scan failed for {symbol} {tf.value}")
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if not reports:
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return
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_update_level_cache(reports)
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summary = _format_scan_summary(reports, tf)
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actionable = [r for r in reports if r.signal_quality in ("A+", "A", "B")]
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for chat_id in list(_autoscan_chats):
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try:
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await bot.send_message(chat_id, summary, parse_mode=ParseMode.MARKDOWN)
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for report in actionable:
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detail = format_signal_message(report)
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await bot.send_message(chat_id, detail, parse_mode=ParseMode.MARKDOWN)
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except Exception:
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logger.exception(f"Failed to send to chat {chat_id}")
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# ── WebSocket level-breach monitor ──────────────────────────────────
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_level_cache: Dict[str, Dict[str, float]] = {}
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_last_prices: Dict[str, float] = {}
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_scan_cooldowns: Dict[str, float] = {}
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_cfg = PlatformConfig()
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_WS_API_KEY = os.environ.get("TWELVE_DATA_API_KEY") or _cfg.twelve_data_api_key
|
||
_WS_URL = f"wss://ws.twelvedata.com/v1/quotes/price?apikey={_WS_API_KEY}"
|
||
_WS_COOLDOWN = _cfg.ws_cooldown_seconds
|
||
|
||
|
||
def _update_level_cache(reports: List[SignalReport]) -> None:
|
||
for r in reports:
|
||
if r.primary_analysis and r.primary_analysis.key_levels:
|
||
levels = {
|
||
k: v for k, v in r.primary_analysis.key_levels.items()
|
||
if k in _LEVEL_KEYS
|
||
}
|
||
if levels:
|
||
_level_cache[r.symbol] = levels
|
||
|
||
|
||
def _check_level_breach(symbol: str, price: float) -> Optional[str]:
|
||
levels = _level_cache.get(symbol)
|
||
if not levels:
|
||
return None
|
||
|
||
last = _last_prices.get(symbol)
|
||
if last is None:
|
||
return None
|
||
|
||
for name, level in levels.items():
|
||
if (last < level <= price) or (last > level >= price):
|
||
return name
|
||
|
||
return None
|
||
|
||
|
||
async def _handle_breach(bot, ws_symbol: str, pair_symbol: str, price: float, level_name: str) -> None:
|
||
now = time.time()
|
||
if now - _scan_cooldowns.get(pair_symbol, 0) < _WS_COOLDOWN:
|
||
return
|
||
|
||
_scan_cooldowns[pair_symbol] = now
|
||
display = PAIR_INFO.get(pair_symbol, {}).get("display", ws_symbol)
|
||
label = level_name.replace("_", " ").title()
|
||
logger.info(f"Level breach: {display} crossed {label} at {price}")
|
||
|
||
try:
|
||
report = await run_signal(pair_symbol, Timeframe.M15)
|
||
_update_level_cache([report])
|
||
text = (
|
||
f"🔔 *Level Break — {display}*\n"
|
||
f"Price crossed *{label}* at `{price}`\n"
|
||
f"━━━━━━━━━━━━━━━━━━━━\n"
|
||
+ format_signal_message(report)
|
||
)
|
||
except Exception as exc:
|
||
logger.exception(f"Breach scan failed for {display}")
|
||
text = f"🔔 *Level Break — {display}*\nPrice crossed {label} at `{price}`\n❌ Scan failed: {exc}"
|
||
|
||
for chat_id in list(_autoscan_chats):
|
||
try:
|
||
await bot.send_message(chat_id, text, parse_mode=ParseMode.MARKDOWN)
|
||
except Exception:
|
||
logger.exception(f"Failed to send breach alert to {chat_id}")
|
||
|
||
|
||
async def _ws_monitor(bot) -> None:
|
||
backoff = 1
|
||
while _autoscan_chats:
|
||
try:
|
||
async with websockets.connect(_WS_URL) as ws:
|
||
subscribe = {
|
||
"action": "subscribe",
|
||
"params": {"symbols": ",".join(_WS_SYMBOLS)},
|
||
}
|
||
await ws.send(json.dumps(subscribe))
|
||
logger.info(f"WebSocket connected, subscribed to {len(_WS_SYMBOLS)} symbols")
|
||
backoff = 1
|
||
|
||
async for raw in ws:
|
||
if not _autoscan_chats:
|
||
break
|
||
|
||
msg = json.loads(raw)
|
||
if msg.get("event") != "price":
|
||
continue
|
||
|
||
ws_symbol = msg.get("symbol")
|
||
pair_symbol = _WS_TO_PAIR.get(ws_symbol)
|
||
if not pair_symbol:
|
||
continue
|
||
|
||
price = float(msg["price"])
|
||
breached = _check_level_breach(pair_symbol, price)
|
||
_last_prices[pair_symbol] = price
|
||
|
||
if breached:
|
||
asyncio.create_task(
|
||
_handle_breach(bot, ws_symbol, pair_symbol, price, breached)
|
||
)
|
||
|
||
except asyncio.CancelledError:
|
||
break
|
||
except Exception:
|
||
logger.exception(f"WebSocket error, reconnecting in {backoff}s")
|
||
await asyncio.sleep(backoff)
|
||
backoff = min(backoff * 2, 60)
|
||
|
||
logger.info("WebSocket monitor stopped")
|
||
|
||
|
||
async def _candle_loop(bot, tf: Timeframe, interval_minutes: int) -> None:
|
||
label = tf.value
|
||
try:
|
||
while _autoscan_chats:
|
||
wait = _seconds_until_boundary(interval_minutes, buffer=10)
|
||
logger.info(f"{label} auto-scan: next in {wait:.0f}s")
|
||
await asyncio.sleep(wait)
|
||
if not _autoscan_chats:
|
||
break
|
||
logger.info(f"{label} auto-scan: firing")
|
||
await _scan_timeframe(
|
||
bot, tf, AUTOSCAN_CONFIRMATIONS[tf]
|
||
)
|
||
except asyncio.CancelledError:
|
||
pass
|
||
finally:
|
||
logger.info(f"{label} auto-scan loop stopped")
|
||
|
||
|
||
_AUTOSCAN_LOOPS = [
|
||
(Timeframe.M5, 5),
|
||
(Timeframe.M15, 15),
|
||
(Timeframe.H1, 60),
|
||
(Timeframe.H4, 240),
|
||
]
|
||
|
||
|
||
_ws_task: Optional[asyncio.Task] = None
|
||
|
||
|
||
def _start_scheduler(bot) -> None:
|
||
global _ws_task
|
||
alive = [t for t in _autoscan_tasks if not t.done()]
|
||
if not alive:
|
||
_autoscan_tasks.clear()
|
||
for tf, interval in _AUTOSCAN_LOOPS:
|
||
_autoscan_tasks.append(
|
||
asyncio.create_task(_candle_loop(bot, tf, interval))
|
||
)
|
||
logger.info("Candle-boundary scheduler started (M5/M15/H1/H4)")
|
||
|
||
if _ws_task is None or _ws_task.done():
|
||
_ws_task = asyncio.create_task(_ws_monitor(bot))
|
||
logger.info("WebSocket level-breach monitor started")
|
||
|
||
|
||
def _stop_scheduler() -> None:
|
||
global _ws_task
|
||
for t in _autoscan_tasks:
|
||
t.cancel()
|
||
_autoscan_tasks.clear()
|
||
if _ws_task and not _ws_task.done():
|
||
_ws_task.cancel()
|
||
_ws_task = None
|
||
logger.info("Candle-boundary scheduler and WebSocket monitor stopped")
|
||
|
||
|
||
# ── Handlers ──────────────────────────────────────────────────────────
|
||
|
||
async def cmd_start(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
|
||
scanning = "running" if _autoscan_chats else "off"
|
||
text = (
|
||
"👋 *ForexBot2 — Signal Intelligence*\n\n"
|
||
"Pick a pair and timeframe to scan.\n"
|
||
"Strong signals include a full trade setup with entry, SL and TP.\n\n"
|
||
f"Auto-scan: *{scanning}* — /autoscan to toggle"
|
||
)
|
||
await update.message.reply_text(
|
||
text,
|
||
parse_mode=ParseMode.MARKDOWN,
|
||
reply_markup=scan_keyboard(),
|
||
)
|
||
|
||
|
||
async def cmd_autoscan(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
|
||
chat_id = update.effective_chat.id
|
||
|
||
if chat_id in _autoscan_chats:
|
||
_autoscan_chats.discard(chat_id)
|
||
if not _autoscan_chats:
|
||
_stop_scheduler()
|
||
await update.message.reply_text(
|
||
"⏹ Auto-scan stopped.",
|
||
parse_mode=ParseMode.MARKDOWN,
|
||
)
|
||
return
|
||
|
||
_autoscan_chats.add(chat_id)
|
||
_start_scheduler(context.bot)
|
||
|
||
next_m5 = _seconds_until_boundary(5, buffer=10)
|
||
next_m15 = _seconds_until_boundary(15, buffer=10)
|
||
next_h1 = _seconds_until_boundary(60, buffer=10)
|
||
next_h4 = _seconds_until_boundary(240, buffer=10)
|
||
await update.message.reply_text(
|
||
"✅ *Auto-scan enabled*\n\n"
|
||
f"Scanning {len(SCAN_PAIRS)} pairs on M5/M15/H1/H4 at candle close.\n"
|
||
f"📡 Live price monitoring active — level-break alerts enabled.\n"
|
||
f"Next: M5 {next_m5 / 60:.0f}m | M15 {next_m15 / 60:.0f}m | "
|
||
f"H1 {next_h1 / 60:.0f}m | H4 {next_h4 / 60:.0f}m\n\n"
|
||
"Use /autoscan again to stop.",
|
||
parse_mode=ParseMode.MARKDOWN,
|
||
)
|
||
|
||
|
||
async def cb_scan(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
|
||
query = update.callback_query
|
||
await query.answer()
|
||
|
||
btn = SCAN_LOOKUP.get(query.data)
|
||
if not btn:
|
||
return
|
||
|
||
pair_display = btn["label"]
|
||
await query.edit_message_text(
|
||
f"⏳ Scanning {pair_display}…",
|
||
parse_mode=ParseMode.MARKDOWN,
|
||
)
|
||
|
||
try:
|
||
report = await run_signal(btn["symbol"], btn["tf"])
|
||
text = format_signal_message(report)
|
||
except Exception as exc:
|
||
logger.exception("Signal scan failed")
|
||
text = f"❌ Scan failed: {exc}"
|
||
|
||
await query.edit_message_text(
|
||
text,
|
||
parse_mode=ParseMode.MARKDOWN,
|
||
reply_markup=scan_keyboard(),
|
||
)
|
||
|
||
|
||
# ── Boot-time auto-start ──────────────────────────────────────────────
|
||
|
||
async def _post_init(app: Application) -> None:
|
||
"""Start the candle-boundary scheduler on boot if CHAT_ID is set."""
|
||
if not CHAT_ID:
|
||
logger.info("TELEGRAM_CHAT_ID not set — auto-scan disabled on boot. "
|
||
"Use /autoscan in chat to enable.")
|
||
return
|
||
|
||
chat_id = int(CHAT_ID)
|
||
_autoscan_chats.add(chat_id)
|
||
_start_scheduler(app.bot)
|
||
|
||
next_m5 = _seconds_until_boundary(5, buffer=10)
|
||
next_m15 = _seconds_until_boundary(15, buffer=10)
|
||
next_h1 = _seconds_until_boundary(60, buffer=10)
|
||
next_h4 = _seconds_until_boundary(240, buffer=10)
|
||
logger.info(
|
||
f"Auto-scan started for chat {chat_id} — "
|
||
f"M5 {next_m5:.0f}s, M15 {next_m15:.0f}s, H1 {next_h1:.0f}s, H4 {next_h4:.0f}s"
|
||
)
|
||
|
||
try:
|
||
await app.bot.send_message(
|
||
chat_id,
|
||
f"🤖 *ForexBot2 started*\n\n"
|
||
f"Auto-scanning {len(SCAN_PAIRS)} pairs on M5/M15/H1/H4.\n"
|
||
f"📡 Live price monitoring active — level-break alerts enabled.\n"
|
||
f"Next: M5 {next_m5 / 60:.0f}m | M15 {next_m15 / 60:.0f}m | "
|
||
f"H1 {next_h1 / 60:.0f}m | H4 {next_h4 / 60:.0f}m\n\n"
|
||
f"/autoscan to stop | Manual buttons via /start",
|
||
parse_mode=ParseMode.MARKDOWN,
|
||
)
|
||
except Exception:
|
||
logger.exception("Failed to send boot message")
|
||
|
||
|
||
# ── Entry point ───────────────────────────────────────────────────────
|
||
|
||
def main() -> None:
|
||
if not TOKEN:
|
||
sys.exit("TELEGRAM_TOKEN not set")
|
||
|
||
logger.info("Starting ForexBot2 Telegram bot…")
|
||
|
||
app = (
|
||
Application.builder()
|
||
.token(TOKEN)
|
||
.post_init(_post_init)
|
||
.build()
|
||
)
|
||
|
||
app.add_handler(CommandHandler("start", cmd_start))
|
||
app.add_handler(CommandHandler("autoscan", cmd_autoscan))
|
||
app.add_handler(CallbackQueryHandler(cb_scan, pattern="^scan_"))
|
||
|
||
logger.info("Bot running — press Ctrl+C to stop")
|
||
app.run_polling(allowed_updates=Update.ALL_TYPES)
|
||
|
||
|
||
if __name__ == "__main__":
|
||
main()
|