Create a Market Screener

import requests

API_KEY = "YOUR_API_KEY"
BASE = "https://tickatlas.com/v1"
headers = {"X-API-Key": API_KEY}

symbols = ["EURUSD", "GBPUSD", "USDJPY", "AUDUSD", "XAUUSD",
           "USDCAD", "EURGBP", "EURJPY", "GBPJPY", "BTCUSD"]

def screen(symbols, timeframe="H1"):
    results = []
    for sym in symbols:
        rsi = requests.get(f"{BASE}/indicator",
            headers=headers,
            params={"symbol": sym, "indicator": "RSI_14", "timeframe": timeframe}
        ).json()["data"]

        if rsi["value"] < 30:
            results.append({"symbol": sym, "rsi": rsi["value"], "signal": "OVERSOLD"})
        elif rsi["value"] > 70:
            results.append({"symbol": sym, "rsi": rsi["value"], "signal": "OVERBOUGHT"})

    return results

hits = screen(symbols)
for h in hits:
    print(f"{h['symbol']}: RSI={h['rsi']:.1f} ({h['signal']}")

# More efficient: use the /v1/multi endpoint
params = {
    "symbols": ",".join(symbols),
    "indicators": "RSI_14,ADX,MACD_hist",
    "timeframe": "H1"
}
resp = requests.get(f"{BASE}/multi", headers=headers, params=params).json()

# data.data maps each symbol to a flat {indicator_name: float} dict.
for sym, indicators in resp["data"]["data"].items():
    rsi = indicators.get("RSI_14", 50)
    adx = indicators.get("ADX", 0)
    macd = indicators.get("MACD_hist", 0)

    if rsi < 30 and adx > 25 and macd > 0:
        print(f"STRONG BUY: {sym} (RSI={rsi:.1f}, ADX={adx:.1f})")
    elif rsi > 70 and adx > 25 and macd < 0:
        print(f"STRONG SELL: {sym} (RSI={rsi:.1f}, ADX={adx:.1f})")