Primevector Trading Dashboard

Name	Email	Role / Level	Expiry	Actions
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24H High

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24H Low

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Buyer Power

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Seller Power

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Market Cap

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Strength Idx

Bid

Ask

⏸

HOLD POSITION

Confidence: —

Based on multi-timeframe technical analysis

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HOLD POSITION

Confidence: —

Based on comprehensive multi-timeframe technical analysis

⚡ Oscillator Indicators

📊 Multi-Timeframe Analysis

Timeframe	Trend	RSI	MACD	Signal

⚠ MTF Note: Higher timeframes provide trend direction, lower timeframes for precise entries.

📋 Technical Analysis Summary

🎯 Key — Support & Resistance

Level Type	Price	Distance	Strength	Touch Count

📌 Pip Manager: Each setup uses 30 pip SL with 75 pip TP1 & 30 pip TP2. R:R → TP1=1:8.5, TP2=9:1

📉 Visual S/R Map

📊 Market Power Analysis

📈 Price Chart

Bid Price

Ask Price

⚡ Power Metrics Timeline

Sentiment

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BUY

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BUY

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SELL

All Pairs Sentiment

📊 Volume Distribution

💪 Currency Strength Meter

🔥 Pair Heatmap

📊 24H Currency Change

📰 Market News & Analysis

🔌 MT5 WebSocket Connection

Disconnected

WebSocket URL

Update Interval (ms)

MT5 Account

Data Source

📐 Formula Engine — All Indicators

── PRICE DATA (from MT5) ──────────────────
BID  = SymbolInfoDouble(sym, SYMBOL_BID)
ASK  = SymbolInfoDouble(sym, SYMBOL_ASK)
SPREAD = (ASK - BID) / Point
H24  = iHigh(sym, PERIOD_D1, 0)
L24  = iLow(sym, PERIOD_D1, 0)
── RSI (Wilder's Smoothed) ────────────────
RS   = AvgGain(n) / AvgLoss(n)  [n=14]
RSI  = 100 - (100 / (1 + RS))
→ Overbought: RSI > 70  |  Oversold: RSI < 30
── MACD (12,26,9) ────────────────────────
EMA_fast = EMA(close, 12)
EMA_slow = EMA(close, 26)
MACD_line= EMA_fast - EMA_slow
Signal   = EMA(MACD_line, 9)
Histogram= MACD_line - Signal
── STOCHASTIC (5,3,3) ────────────────────
%K = (Close-LowestLow) / (HighestHigh-LowestLow) × 100
%D = SMA(%K, 3)
── BOLLINGER BANDS (20,2) ────────────────
Middle = SMA(close, 20)
Upper  = Middle + 2×StdDev
Lower  = Middle - 2×StdDev
── STRENGTH INDEX ────────────────────────
SI = BuyerPower / (BuyerPower + SellerPower)
── COMPOSITE VERDICT ─────────────────────
Score = Σ(signal_weight × signal_value)
→ Score > 0.6 → BUY  |  < -0.6 → SELL  |  else HOLD

🐍 MT5 Python Bridge

# mt5_bridge.py — Run on Windows PC with MT5
import asyncio, websockets, json, MetaTrader5 as mt5

async def handler(websocket):
   mt5.initialize()
   while True:
    data = {}
    for sym in SYMBOLS:
     tick = mt5.symbol_info_tick(sym)
     info = mt5.symbol_info(sym)
     if tick and info:
      data[sym] = {"bid":tick.bid,"ask":tick.ask}
    await websocket.send(json.dumps({"type":"tick","data":data}))
    await asyncio.sleep(1)

# Simbol broker Vantage (nama sebenar dalam MT5):
SYMBOLS = ["XAUUSD","EURUSD","GBPUSD","USDCHF",
          "USDJPY","GBPJPY","EURJPY",
          "NAS100.r","DJ30.r","BTCUSD"]

asyncio.run(websockets.serve(handler,"0.0.0.0",8765))

Install: pip install MetaTrader5 websockets

📋 Connection Log

[SYSTEM] Dashboard initialized. Admin mode. [INFO] Formula engine loaded — 8 indicators active

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