选择运行方式

K-Liquidity Confluence

同一个策略版本,选择本地或托管后,系统再匹配它需要的运行组件与控制边界。

LOCAL RUNTIME · PAPER

在自己的设备与 AI Harness 中运行

不需要注册。配置和状态留在本地;交易凭证只进入操作系统密钥库。

  1. 1
    下载策略配置

    它固定策略 ID、框架版本和默认参数,并始终从 Paper 开始。

  2. 2
    选择 Headless 或本地控制台

    后台 Runtime 持续运行;网页关闭后策略不会停止,也可以完全不开网页。

  3. 3
    让 AI 读取脱敏上下文

    Codex、OpenClaw 等 Harness 通过受控 CLI 查看状态和运行事件,不接触 Secret。

查看所有平台、版本与 SHA-256 →
terminal
quantelse-local validate --config k-pub-1784680462279-jvwl7a.runner.json
quantelse-local run --config k-pub-1784680462279-jvwl7a.runner.json --offline
quantelse-local run --config k-pub-1784680462279-jvwl7a.runner.json --ui --offline
查看生成的 JSON 配置
{
  "config_version": 4,
  "workspace_mode": "managed",
  "interval_seconds": 60,
  "client": {
    "bootstrap_enabled": false,
    "bootstrap_url": "https://quantelse.trade/v1/client/bootstrap",
    "telemetry": "off",
    "heartbeat_seconds": 21600
  },
  "bots": [
    {
      "local_id": "k-pub-1784680462279-jvwl7a-paper-v1",
      "owner_id": "local",
      "exchange": "paper",
      "signal_source": "paper",
      "signal_connector": "quantelse.connector.paper",
      "execution_connector": "quantelse.connector.paper",
      "start_immediately": true,
      "strategy": {
        "id": "k-pub-1784680462279-jvwl7a",
        "version": "0.3.0",
        "kind": "trend",
        "framework_id": "technical-indicators",
        "framework_version": "0.1.0",
        "strategy_plugin": "quantelse.strategy.trend",
        "name": "K-Liquidity Confluence",
        "symbol": "HYPE/USDC",
        "timeframe": "1h",
        "risk_level": "high",
        "capital": 1000,
        "signal_definition": {
          "type": "builtin",
          "strategy_kind": "trend"
        },
        "parameters": {
          "fast_period": 20,
          "slow_period": 50,
          "signal_connector": "quantelse.connector.hyperliquid-public",
          "default_execution_route": {
            "mode": "paper",
            "exchange": "hyperliquid",
            "market": "linear_perpetual",
            "connector_id": "quantelse.connector.paper",
            "account_ref": null,
            "settlement_asset": "USDC",
            "margin_mode": "isolated",
            "position_mode": "one_way",
            "leverage": 1
          },
          "default_position_policy": {
            "allow_short": true,
            "reduce_only_on_exit": true,
            "sizing_mode": "signal_scaled",
            "normalization_multiplier": 2.0,
            "normalization_floor_ratio": 0.0
          },
          "composition": {
            "schema_version": 1,
            "combination_mode": "weighted_average",
            "signal_threshold": 0.05,
            "quorum_ratio": 0.5,
            "deadband": 0.05,
            "children": [
              {
                "child_id": "ema-trend-1",
                "source_type": "system",
                "role": "alpha",
                "name": "EMA 趋势方向",
                "summary": "用快慢 EMA 和收盘位置输出连续多空方向。",
                "catalog_slug": null,
                "catalog_version": null,
                "system_template_id": "system-ema-trend",
                "kind": "trend",
                "signal_definition": null,
                "symbol": "HYPE/USDC",
                "timeframe": "1h",
                "weight": 1.0,
                "parameters": {
                  "fast_period": 20,
                  "slow_period": 50
                },
                "parameter_schema": [
                  {
                    "id": "fast_period",
                    "label": "快速 EMA",
                    "description": "用于捕捉较快价格方向。",
                    "value_type": "integer",
                    "default": 20,
                    "minimum": 2.0,
                    "maximum": 500.0,
                    "step": 1.0,
                    "options": []
                  },
                  {
                    "id": "slow_period",
                    "label": "慢速 EMA",
                    "description": "用于确认较慢市场趋势。",
                    "value_type": "integer",
                    "default": 50,
                    "minimum": 3.0,
                    "maximum": 1000.0,
                    "step": 1.0,
                    "options": []
                  }
                ],
                "origin_slug": "k-pub-1784680462279-jvwl7a",
                "origin_version": "0.3.0",
                "system_default": false
              }
            ]
          },
          "third_party_migration": {
            "source_platform": "Minara",
            "published_strategy_id": "pub_1784680462279_jvwl7a",
            "source_url": "https://minara.ai/zh/app/strategy/detail/pub_1784680462279_jvwl7a",
            "source_claims": "self_reported",
            "curve_replace_required": true
          }
        },
        "enabled": true,
        "execution_mode": "paper"
      }
    }
  ]
}