Multi-Timeframe Analysis

GET /v1/multi?symbols=EURUSD&indicators=RSI_14,MACD_hist,ADX,SMA_200&timeframe=M30,H1,H4,D1

import requests

def mtf_analysis(symbol, api_key):
    """Multi-timeframe analysis using 4 timeframes."""
    url = "https://tickatlas.com/v1/multi"
    headers = {"X-API-Key": api_key}
    params = {
        "symbols": symbol,
        "indicators": "RSI_14,MACD_hist,ADX,SMA_200",
        "timeframe": "M30,H1,H4,D1"
    }

    response = requests.get(url, headers=headers, params=params)
    data = response.json()

    # Analyze each timeframe
    analysis = {}
    for tf in ["D1", "H4", "H1", "M30"]:
        tf_data = data.get(symbol, {}).get(tf, {})
        rsi = tf_data.get("RSI_14", 50)
        macd = tf_data.get("MACD_hist", 0)
        adx = tf_data.get("ADX", 0)

        bias = "BULLISH" if rsi > 50 and macd > 0 else "BEARISH" if rsi < 50 and macd < 0 else "NEUTRAL"
        trending = adx > 25

        analysis[tf] = {"bias": bias, "trending": trending, "rsi": rsi, "adx": adx}

    # Confluence check: higher TFs must agree
    d1_bias = analysis["D1"]["bias"]
    h4_bias = analysis["H4"]["bias"]
    h1_bias = analysis["H1"]["bias"]

    if d1_bias == h4_bias == h1_bias and d1_bias != "NEUTRAL":
        signal = "STRONG_" + d1_bias
    elif d1_bias == h4_bias and d1_bias != "NEUTRAL":
        signal = d1_bias
    else:
        signal = "NO_TRADE"

    return {"symbol": symbol, "signal": signal, "timeframes": analysis}

result = mtf_analysis("EURUSD", "YOUR_API_KEY")
print(f"Signal: {result['signal']}")
for tf, data in result["timeframes"].items():
    print(f"  {tf}: {data['bias']} (RSI: {data['rsi']:.1f}, ADX: {data['adx']:.1f})")