Initial commit: Trading skills collection

- OKX交易自动化 (okx-auto-position, okx-crypto, okx-exchange)
- 交易信号处理 (signal-confirmation-templates, trading-signal-aggregator)
- 量化因子挖掘 (quant-factor-mining)
- 长桥集成 (longbridge-cli, longbridge-python-sdk)
- 六合彩分析 (lottery-hk)
- 股息投资 (dividend-investing, dividend-scanner)
- 日内交易 (intraday-trading)
- 同花顺 (tonghuashun)

longbridge-cli/references/execute-code-pattern.py

@@ -0,0 +1,44 @@
+# LongPort Python SDK via execute_code — reliable pattern
+# Use this instead of terminal + source ~/.bashrc for Python SDK calls.
+# The execute_code sandbox inherits LONGPORT_* env vars, so Config.from_env() works.
+#
+# Pitfalls:
+#   - execute_code sandbox does NOT inherit bashrc; LONGPORT_* must already be in
+#     the host env (they are, from ~/.bashrc on this system).
+#   - If Config.from_env() throws "missing environment variable", the sandbox
+#     couldn't find the var. Fall back to reading from bashrc via subprocess.
+#   - Decimal fields (market_cap, last_done, etc.) need float() conversion.
+#   - candlesticks() returns list sorted oldest-first; [-1] is latest.
+#   - adjust_type is required for candlesticks: use openapi.AdjustType.NoAdjust
+#     for raw data or openapi.AdjustType.ForwardAdjust for adjusted.
+
+import os
+
+# Safety net: if LONGPORT_* not in sandbox env, load from bashrc
+if not os.environ.get("LONGPORT_APP_KEY"):
+    import subprocess
+    result = subprocess.run(
+        ["bash", "-c", "source ~/.bashrc && env"],
+        capture_output=True, text=True
+    )
+    for line in result.stdout.split("\n"):
+        if "=" in line and "LONGPORT_" in line:
+            key, val = line.split("=", 1)
+            os.environ[key] = val
+
+from longport import openapi
+
+config = openapi.Config.from_env()
+ctx = openapi.QuoteContext(config=config)
+
+# --- Quote ---
+resp = ctx.quote(["AAPL.US"])
+q = resp[0]
+print(f"Latest: {float(q.last_done)}, Open: {float(q.open)}, High: {float(q.high)}, Low: {float(q.low)}")
+
+# --- Candlesticks (daily, 30 bars) ---
+candles = ctx.candlesticks("AAPL.US", openapi.Period.Day, 30, openapi.AdjustType.NoAdjust)
+first_close = float(candles[0].close)
+last_close = float(candles[-1].close)
+change_pct = (last_close - first_close) / first_close * 100
+print(f"30d change: {first_close} -> {last_close} ({change_pct:+.2f}%)")