الحصول على بيانات تداول اللحظية خلال الجلسة باستخدام SAHMK ‏(SDK + MCP)

import os
import pandas as pd
import matplotlib.pyplot as plt
from sahmk import SahmkClient

client = SahmkClient(api_key=os.environ["SAHMK_API_KEY"])

series = client.historical(
    "2222",
    from_date="2026-05-01",
    to_date="2026-05-15",
    interval="60m",
)

rows = getattr(series, "data", None) or series.get("data", [])
df = pd.DataFrame(rows)
df["timestamp"] = pd.to_datetime(df["timestamp"])
df = df.sort_values("timestamp")
df["ma_fast"] = df["close"].rolling(5).mean()
df["ma_slow"] = df["close"].rolling(12).mean()

plt.figure(figsize=(10, 4))
plt.plot(df["timestamp"], df["close"], label="Close")
plt.plot(df["timestamp"], df["ma_fast"], label="MA(5)")
plt.plot(df["timestamp"], df["ma_slow"], label="MA(12)")
plt.title("2222 Intraday Momentum (60m)")
plt.legend()
plt.tight_layout()
plt.savefig("intraday-momentum.png", dpi=140)

pip install -U sahmk

import os
from sahmk import SahmkClient

client = SahmkClient(api_key=os.environ["SAHMK_API_KEY"])

# 30m candles for Aramco in a fixed date range
series_30m = client.historical(
    "2222",
    from_date="2026-05-01",
    to_date="2026-05-15",
    interval="30m",
)

# 60m candles with same shape
series_60m = client.historical(
    "2222",
    from_date="2026-05-01",
    to_date="2026-05-15",
    interval="60m",
)

# Safe extraction for both typed and dict-like responses
rows = getattr(series_30m, "data", None) or series_30m.get("data", [])
latest = rows[-1] if rows else None
print("rows:", len(rows))
print("latest:", latest)