Gamitin ang Smart Money API kasabay ng CCXT

import os
import ccxt
import requests

API_KEY = os.environ["SMA_API_KEY"]            # never hard-code
SMA_BASE = "https://api.smartmoneyapi.com"

exchange = ccxt.binance()                       # any CCXT exchange

def confirm(symbol: str, direction: str) -> dict:
    """Ask Smart Money API for market-context confirmation."""
    r = requests.get(
        f"{SMA_BASE}/v1/confirm",
        params={"symbol": symbol, "direction": direction, "source": "ccxt-bot"},
        headers={"X-API-Key": API_KEY},
        timeout=10,
    )
    r.raise_for_status()
    return r.json()

# 1. Read market data with CCXT and pick a candidate direction
ticker = exchange.fetch_ticker("BTC/USDT")
direction = "long" if ticker["percentage"] and ticker["percentage"] > 0 else "short"

# 2. Confirm with Smart Money API before acting
sig = confirm("BTC", direction)
print(sig["action"], sig["confidence"], "size_mult", sig["size_mult"])

# 3. Act on the recommendation (CCXT executes; the API only advises)
if sig["action"] == "CONFIRM":
    base_qty = 0.01
    qty = base_qty * sig["size_mult"]          # scale by suggested multiplier
    # exchange.create_order("BTC/USDT", "market", direction, qty)
    print(f"Would place {direction} {qty} BTC/USDT")
elif sig["action"] == "REDUCE":
    print("Context is mixed -> trade smaller or wait for a cleaner setup")
else:  # SKIP
    print("Context does not support this trade -> stand aside")

{
  "ts": 1710940821,
  "symbol": "BTC",
  "direction": "long",
  "composite": 0.74,
  "confidence": "HIGH",
  "action": "CONFIRM",
  "size_mult": 1.5,
  "deriv_score": 0.81,
  "onchain_score": 0.68,
  "whale_score": 0.73,
  "reasons": [
    "Funding rate positive across all venues",
    "LSR favors longs: 1.42",
    "Whales: 67% long consensus",
    "MVRV above 1.0 — on-chain bullish"
  ]
}