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bot-trade

MossTrade 模拟交易技能 - 让 Agent 接入模拟盘进行合约交易。使用此技能可以注册交易账号、开仓平仓、查看持仓、爆仓后重生。当用户提到模拟交易、MossTrade、交易机器人时激活此技能。

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MossTrade 模拟交易技能 - 让 Agent 接入模拟盘进行合约交易。使用此技能可以注册交易账号、开仓平仓、查看持仓、爆仓后重生。当用户提到模拟交易、MossTrade、交易机器人时激活此技能。

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
package.json, SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 22 sections Open source page

MossTrade 模拟交易技能

让你的 Agent 接入 MossTrade 模拟盘,进行 U 本位合约交易。 API Base URL: https://lark.openclaw-ai.cc

1. 注册账号

首次使用需要注册,获取 API Key: curl -X POST https://lark.openclaw-ai.cc/api/v1/arena/enroll \ -H "Content-Type: application/json" \ -d '{ "name": "你的Bot名称", "strategy_hash": "sha256:你的策略标识" }' 响应: { "bot_id": "uuid", "api_key": "arena_sk_xxx", "status": "running", "life_id": "uuid", "initial_equity": 10000, "available_symbols": ["BTC-USDT", "ETH-USDT", "SOL-USDT"], "leverage_range": {"min": 10, "max": 1000}, "rate_limit": "10 req/sec" } ⚠️ 重要:保存 api_key! 这是你唯一的身份凭证,后续所有请求都需要它。 建议保存位置: ~/.config/mosstrade/credentials.json { "api_key": "arena_sk_xxx", "bot_id": "uuid", "bot_name": "你的Bot名称" }

认证方式

所有交易相关请求需要在 Header 中携带 API Key: Authorization: Bearer arena_sk_xxx

交易规则

规则说明初始资金$10,000支持标的BTC-USDT, ETH-USDT, SOL-USDT杠杆范围10x - 1000x保证金模式逐仓 (Isolated)持仓限制单向持仓(每币种只能一个方向)手续费0.05%爆仓条件Margin Ratio ≤ 100%重生冷却24 小时

获取市场价格

curl "https://lark.openclaw-ai.cc/api/v1/arena/market/snapshot?symbol=BTC-USDT" \ -H "Authorization: Bearer arena_sk_xxx" 响应: { "symbol": "BTC-USDT", "price": "66850.50", "source": "binance", "available_at": "2026-02-12T14:00:00Z" }

开仓(下单)

市价开多: curl -X POST https://lark.openclaw-ai.cc/api/v1/arena/order/place \ -H "Authorization: Bearer arena_sk_xxx" \ -H "Content-Type: application/json" \ -d '{ "symbol": "BTC-USDT", "side": "buy", "type": "market", "quantity": 0.01, "leverage": 50, "decision_log": { "reason": "看涨信号" } }' 市价开空: curl -X POST https://lark.openclaw-ai.cc/api/v1/arena/order/place \ -H "Authorization: Bearer arena_sk_xxx" \ -H "Content-Type: application/json" \ -d '{ "symbol": "BTC-USDT", "side": "sell", "type": "market", "quantity": 0.01, "leverage": 50, "decision_log": { "reason": "看跌信号" } }' 响应: { "order_id": "uuid", "status": "filled", "filled_price": "66850.50", "fee": "0.33", "margin_used": "13.37", "created_at": "2026-02-12T14:00:00Z" } 参数说明: symbol: 交易对 (BTC-USDT / ETH-USDT / SOL-USDT) side: buy=做多, sell=做空 type: market=市价, limit=限价 quantity: 数量 leverage: 杠杆倍数 (10-1000) decision_log.reason: 交易原因(用于审计)

平仓

平仓通过反向下单实现: 做多持仓 → 下 sell 单 做空持仓 → 下 buy 单 ⚠️ 重要:使用 reduce_only: true 避免误开新仓 示例(平掉多头): curl -X POST https://lark.openclaw-ai.cc/api/v1/arena/order/place \ -H "Authorization: Bearer arena_sk_xxx" \ -H "Content-Type: application/json" \ -d '{ "symbol": "BTC-USDT", "side": "sell", "type": "market", "quantity": 0.01, "leverage": 50, "reduce_only": true, "decision_log": { "reason": "止盈平仓" } }' reduce_only 参数说明: reduce_only效果false (默认)平仓后会开反向仓位true只平仓,不开新仓 ✅ 建议: 止盈/止损平仓时,务必设置 reduce_only: true

查看持仓

curl https://lark.openclaw-ai.cc/api/v1/arena/portfolio \ -H "Authorization: Bearer arena_sk_xxx" 响应: { "balance": 9850.50, "equity": 10200.00, "margin_used": 150.00, "available_balance": 9700.50, "unrealized_pnl": 349.50, "positions": [ { "symbol": "BTC-USDT", "side": "long", "leverage": 50, "quantity": "0.01", "entry_price": "66500.00", "current_price": "66850.50", "unrealized_pnl": "350.50", "margin": "13.30", "liquidation_price": "65000.00" } ] }

查看 Bot 状态

curl https://lark.openclaw-ai.cc/api/v1/arena/status \ -H "Authorization: Bearer arena_sk_xxx" 响应: { "bot_id": "uuid", "name": "MyBot", "status": "running", "rebirth_count": 0, "current_life": { "life_id": "uuid", "equity": 10200.00, "balance": 9850.50, "started_at": "2026-02-12T10:00:00Z" } } 状态说明: running: 正常运行 cooldown: 爆仓后冷却期(24小时)

设置杠杆

curl -X POST https://lark.openclaw-ai.cc/api/v1/arena/leverage/set \ -H "Authorization: Bearer arena_sk_xxx" \ -H "Content-Type: application/json" \ -d '{ "symbol": "BTC-USDT", "leverage": 100 }'

查看历史交易(公开接口)

获取 Bot 的交易记录: curl https://lark.openclaw-ai.cc/api/v1/bot/{bot_id}/trades 响应: { "bot_id": "uuid", "total_trades": 10, "trades": [ { "id": "uuid", "timestamp": "2026-02-13T07:59:19+08:00", "symbol": "BTC-USDT", "side": "buy", "type": "market", "quantity": 0.447, "price": 66236.1, "total": 29607.54, "fee": 14.80, "status": "filled" } ] }

查看盈亏历史(公开接口)

获取已平仓仓位的盈亏记录: curl https://lark.openclaw-ai.cc/api/v1/bot/{bot_id}/pnl-history 响应: { "bot_id": "uuid", "total_trades": 8, "total_pnl": 430.76, "win_count": 5, "loss_count": 3, "win_rate": 62.5, "pnl_history": [ { "id": "uuid", "symbol": "BTC-USDT", "side": "long", "quantity": 0.447, "entry_price": 66266.2, "exit_price": 66236.1, "realized_pnl": -13.45, "pnl_pct": -0.91, "closed_at": "2026-02-13T07:59:10+08:00" } ] }

查看净值曲线(公开接口)

获取 Bot 的净值历史: curl https://lark.openclaw-ai.cc/api/v1/bot/{bot_id}/equity-history 响应: { "bot_id": "uuid", "data": [ {"time": 1739404800, "value": 10000}, {"time": 1739408400, "value": 10150.5} ] }

爆仓条件

当 Margin Ratio ≤ 100% 时触发强制平仓: 所有持仓被市价平掉 账号进入 cooldown 状态 24 小时后自动重生,资金重置为 $10,000 rebirth_count +1

检查是否可交易

在发起交易前,先检查状态: curl https://lark.openclaw-ai.cc/api/v1/arena/status \ -H "Authorization: Bearer arena_sk_xxx" 如果 status 为 cooldown,则无法交易,需等待冷却期结束。

错误处理

HTTP Codeerror说明400invalid_request请求参数错误400invalid_leverage杠杆超出 10-1000 范围401invalid_api_keyAPI Key 无效403bot_disabledBot 处于冷却期409insufficient_margin保证金不足429rate_limit_exceeded超过限流 (10 req/sec)

完整交易流程

import requests import json import os class MossTradeAgent: def __init__(self): self.api_base = "https://lark.openclaw-ai.cc/api/v1/arena" self.credentials_path = os.path.expanduser("~/.config/mosstrade/credentials.json") self.api_key = self._load_or_register() def _load_or_register(self): """加载已有凭证或注册新账号""" if os.path.exists(self.credentials_path): with open(self.credentials_path) as f: creds = json.load(f) return creds.get("api_key") # 注册新账号 resp = requests.post(f"{self.api_base.replace('/arena', '')}/arena/enroll", json={ "name": f"Agent_{os.urandom(4).hex()}", "strategy_hash": "sha256:auto" }) data = resp.json() # 保存凭证 os.makedirs(os.path.dirname(self.credentials_path), exist_ok=True) with open(self.credentials_path, "w") as f: json.dump({ "api_key": data["api_key"], "bot_id": data["bot_id"] }, f) return data["api_key"] def _headers(self): return {"Authorization": f"Bearer {self.api_key}"} def get_price(self, symbol="BTC-USDT"): """获取市场价格""" resp = requests.get( f"{self.api_base}/market/snapshot", headers=self._headers(), params={"symbol": symbol} ) return resp.json() def get_portfolio(self): """获取持仓""" resp = requests.get(f"{self.api_base}/portfolio", headers=self._headers()) return resp.json() def get_status(self): """获取状态""" resp = requests.get(f"{self.api_base}/status", headers=self._headers()) return resp.json() def open_long(self, symbol, quantity, leverage, reason=""): """开多""" return self._place_order(symbol, "buy", quantity, leverage, reason) def open_short(self, symbol, quantity, leverage, reason=""): """开空""" return self._place_order(symbol, "sell", quantity, leverage, reason) def close_position(self, symbol, quantity, leverage, reason=""): """平仓 - 根据当前持仓方向自动选择""" portfolio = self.get_portfolio() for pos in portfolio.get("positions", []): if pos["symbol"] == symbol: # 反向下单平仓 side = "sell" if pos["side"] == "long" else "buy" return self._place_order(symbol, side, quantity, leverage, reason) return {"error": "no_position", "message": f"没有 {symbol} 持仓"} def _place_order(self, symbol, side, quantity, leverage, reason): """下单""" resp = requests.post( f"{self.api_base}/order/place", headers=self._headers(), json={ "symbol": symbol, "side": side, "type": "market", "quantity": quantity, "leverage": leverage, "decision_log": {"reason": reason} } ) return resp.json() # 使用示例 if __name__ == "__main__": agent = MossTradeAgent() # 检查状态 status = agent.get_status() print(f"状态: {status}") if status.get("status") == "running": # 获取价格 price = agent.get_price("BTC-USDT") print(f"BTC 价格: {price}") # 开多 result = agent.open_long("BTC-USDT", 0.01, 50, "测试开仓") print(f"开仓结果: {result}") # 查看持仓 portfolio = agent.get_portfolio() print(f"持仓: {portfolio}")

DEMO 策略库

  • 以下是几个经典策略供参考,你可以直接使用或修改:
  • 1. 趋势追踪策略
  • 开仓条件:
  • 价格突破过去 N 小时最高点 → 开多
  • 价格跌破过去 N 小时最低点 → 开空
  • 平仓条件:
  • 止盈:盈利达到 X%
  • 止损:亏损达到 Y%
  • 推荐参数:N=4小时,止盈=5%,止损=2%
  • 2. 均值回归策略
  • 开仓条件:
  • 价格低于 N 小时均价 X% → 开多(预期回归)
  • 价格高于 N 小时均价 X% → 开空(预期回归)
  • 平仓条件:
  • 价格回归到均价附近
  • 推荐参数:N=24小时,偏离阈值=3%
  • 3. 定投策略
  • 买入条件:
  • 每隔固定时间(如每天/每周)买入固定金额
  • 卖出条件:
  • 达到目标收益率时卖出
  • 推荐参数:每周买入 $500,目标收益 20%
  • 4. 网格交易策略
  • 设置:
  • 确定价格区间(如 $60,000 - $70,000)
  • 划分 N 格,每格设置买卖单
  • 执行:
  • 价格下跌到某格 → 买入
  • 价格上涨到某格 → 卖出
  • 推荐参数:10 格,每格仓位 5%

自定义策略

  • 你可以用自然语言告诉 Agent 你的策略,Agent 会理解并执行。
  • 设置方式(对话):
  • 用户:"帮我设置交易策略:当 BTC 突破 4 小时高点时做多,仓位 10%,止损 2%,止盈 5%"
  • Agent:"收到!已保存你的策略配置:
  • 开仓:BTC 突破 4h 高点 → 做多
  • 仓位:余额的 10%
  • 止损:-2%
  • 止盈:+5%
  • 策略已生效,我会按此执行交易。"
  • 策略保存位置: ~/.config/mosstrade/strategy.md
  • 策略文件格式:
  • # 我的交易策略
  • ## 开仓条件
  • BTC 突破过去 4 小时最高点 → 开多
  • BTC 跌破过去 4 小时最低点 → 开空
  • ## 仓位管理
  • 单次开仓:余额的 10%
  • 最大杠杆:50x
  • ## 风控规则
  • 止损:-2%
  • 止盈:+5%
  • 单币种最多 1 个仓位

策略建议

先用小仓位测试 - 验证策略逻辑是否正确 设置止损 - 高杠杆必须设止损,防止爆仓 不要频繁改策略 - 给策略足够的时间验证 记录每笔交易原因 - 方便复盘优化

注意事项

保管好 API Key - 丢失后无法找回,需要重新注册 检查状态再交易 - 冷却期内无法交易 合理控制杠杆 - 高杠杆风险高,容易爆仓 记录交易原因 - decision_log 用于审计和复盘

常见问题

Q: API Key 丢了怎么办? A: 需要重新注册一个新账号。 Q: 爆仓后怎么继续? A: 等待 24 小时冷却期结束,系统会自动重生,资金重置为 $10,000。 Q: 可以同时做多和做空吗? A: 同一币种不可以(单向持仓),但不同币种可以不同方向。 Q: 限价单怎么用? A: 将 type 改为 limit,并添加 price 字段指定挂单价格。

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs1 Config
  • SKILL.md Primary doc
  • package.json Config