feat(longbridge): 602315 mainland CN geo-block bypass + stock_t通用脚本
- SKILL.md: 加 602315 bypass 章节(三件套 LONGBRIDGE_REGION + proxychains + Clash HK)
- longbridge-python-sdk/SKILL.md: Python SDK 路径同样需要 bypass
- references/longbridge-602315-bypass.md: 完整方案+验证步骤
- references/longbridge-cn-vs-com-endpoint.md: cn vs com 域名区别
- references/clash-node-switching.md: Clash 切香港节点操作
- references/stock-t-trading-workflow.md: 通用持仓脚本用法
- intraday-trading/SKILL.md: 同步 602315 限制说明
- scripts/{daily_t_analysis,t_monitor}.py: 之前漏提交,补上
验证: 2026-07-09 下单 RGTI 15股@15.50 订单ID 1259547163696824320 成功
背景: longport SDK 通过 is_cn() 自动探测 geotest.lbkrs.com 选 cn/com endpoint
net_mode下 cn 域(阿里云深圳)被拒,com 域(AWS香港)需绕
唯一可行: LONGBRIDGE_REGION=ap 强制走 com + proxychains + Clash 香港出口
Co-Authored-By: Claude <noreply@anthropic.com>
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#!/usr/bin/env python3
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"""
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持仓做T价格监控 - 支撑位低吸、阻力位高抛
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监控所有持仓(OKX+长桥),价格接近关键位时提醒
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无提醒时静默输出(cron no_agent模式不推送)
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"""
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import os, sys, json, math, subprocess, re
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from datetime import datetime
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# Load creds
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okx_creds = {}
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with open(os.path.expanduser('~/.bashrc')) as f:
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for line in f:
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m = re.match(r'export\s+(OKX_\w+)=(.*)', line.strip())
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if m:
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okx_creds[m.group(1)] = m.group(2).strip().strip('"').strip("'")
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line = line.strip()
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if line.startswith('export LONGPORT_') or line.startswith('export LONGBRIDGE_'):
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parts = line.replace('export ', '').split('=', 1)
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if len(parts) == 2:
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os.environ[parts[0]] = parts[1]
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def okx_get(endpoint, params=""):
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import hmac, base64, hashlib
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ts = datetime.utcnow().strftime('%Y-%m-%dT%H:%M:%S.') + f"{datetime.utcnow().microsecond // 1000:03d}Z"
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path = endpoint + ('?' + params if params else '')
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msg = ts + 'GET' + path
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sig = base64.b64encode(hmac.new(okx_creds['OKX_SECRET'].encode(), msg.encode(), hashlib.sha256).digest()).decode()
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cmd = ['curl', '-s', '--proxy', 'http://127.0.0.1:7890',
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'-H', f'OK-ACCESS-KEY: {okx_creds["OKX_API_KEY"]}', '-H', f'OK-ACCESS-SIGN: {sig}',
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'-H', f'OK-ACCESS-TIMESTAMP: {ts}', '-H', f'OK-ACCESS-PASSPHRASE: {okx_creds["OKX_PASSPHRASE"]}',
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'-H', 'Content-Type: application/json', f'https://www.okx.com{path}']
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r = subprocess.run(cmd, capture_output=True, text=True, timeout=15)
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return json.loads(r.stdout)
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def monitor():
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alerts = []
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# OKX positions
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try:
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pos = okx_get('/api/v5/account/positions', 'instType=SWAP')
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for p in pos.get('data', []):
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if float(p.get('pos', 0)) == 0:
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continue
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sym = p['instId'].replace('-USDT-SWAP', '')
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try:
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ticker = okx_get('/api/v5/market/ticker', f'instId={sym}-USDT-SWAP')
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price = float(ticker['data'][0]['last'])
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candles = okx_get('/api/v5/market/candles', f'instId={sym}-USDT-SWAP&bar=4H&limit=20')
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data = candles.get('data', [])
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if len(data) >= 10:
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closes = [float(d[4]) for d in data]
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highs = [float(d[2]) for d in data]
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lows = [float(d[3]) for d in data]
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atr_sum = sum(max(highs[-i]-lows[-i], abs(highs[-i]-closes[-i-1]), abs(lows[-i]-closes[-i-1])) for i in range(1, min(15, len(data))))
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atr = atr_sum / min(14, len(data)-1)
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support = min(lows[-5:])
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resistance = max(highs[-5:])
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sma20 = sum(closes) / len(closes)
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buy_zone = min(support, sma20) + atr * 0.2
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sell_zone = max(resistance, sma20) - atr * 0.2
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dist_buy = abs(price - buy_zone) / price * 100
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dist_sell = abs(price - sell_zone) / price * 100
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if dist_buy < 1.5:
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alerts.append(f"🟢 {sym} 接近低吸位! 现价{price:.2f} → 低吸{buy_zone:.2f} (差{dist_buy:.1f}%)")
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elif dist_sell < 1.5:
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alerts.append(f"🔴 {sym} 接近高抛位! 现价{price:.2f} → 高抛{sell_zone:.2f} (差{dist_sell:.1f}%)")
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elif price < support:
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alerts.append(f"⚠️ {sym} 跌破支撑! 现价{price:.2f} < 支撑{support:.2f}")
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elif price > resistance:
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alerts.append(f"🚀 {sym} 突破阻力! 现价{price:.2f} > 阻力{resistance:.2f}")
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except:
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pass
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except:
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pass
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# LongBridge positions
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try:
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from longport import openapi
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cfg = openapi.Config.from_env()
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trade_ctx = openapi.TradeContext(config=cfg)
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quote_ctx = openapi.QuoteContext(config=cfg)
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resp = trade_ctx.stock_positions()
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lb_syms = []
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lb_pos = {}
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for ch in resp.channels:
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for p in ch.positions:
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if int(p.quantity) > 0:
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lb_syms.append(p.symbol)
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lb_pos[p.symbol] = {'cost': float(p.cost_price), 'qty': int(p.quantity)}
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if lb_syms:
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quotes = quote_ctx.quote(lb_syms)
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for q in quotes:
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price = float(q.last_done)
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cost = lb_pos[q.symbol]['cost']
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buy_zone = cost * 0.95
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sell_zone = cost * 1.05
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dist_buy = abs(price - buy_zone) / price * 100
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dist_sell = abs(price - sell_zone) / price * 100
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if dist_buy < 2:
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alerts.append(f"🟢 {q.symbol} 接近低吸位! 现价{price:.2f} → 低吸{buy_zone:.2f}")
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elif dist_sell < 2:
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alerts.append(f"🔴 {q.symbol} 接近高抛位! 现价{price:.2f} → 高抛{sell_zone:.2f}")
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except:
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pass
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if alerts:
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print("📊 做T监控提醒\n")
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print("\n".join(alerts))
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print(f"\n⏰ {datetime.now().strftime('%H:%M')}")
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# 无输出=静默
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if __name__ == '__main__':
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monitor()
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