6DuckLearn Skills

wangwang v3 strategy

Wang Wang Wang · V3 Stable Trend Strategy. Automated execution of ADX momentum trend tracking (entry threshold 0.28, ADX greater than or equal to 25 for double confirmation, 18x leverage, 2.5x ATR stop loss with trailing stop loss, rolling compounding). Triggered when users mention "V3 strategy", "Wang Wang Wang strategy", "trend tracking strategy", "ADX strategy", "cryptocurrency quantification", "contract strategy backtesting". Provides capabilities for backtesting, parameter adjustment, strategy explanation, real-time signals, etc.

finance Tags: okx, trading, community, okx-marketplace, finance

6DuckLearn provenance: Community skill by 133***1625, mirrored from the OKX Skills Marketplace (https://www.okx.com/en-sg/agent-tradekit/skills/wangwang-v3-strategy). It is not curated, verified, or endorsed by 6DuckLearn or represented as an official OKX publication.

Financial safety boundary: Never request secrets in chat. Before any external API call or action that places, cancels, or amends an order; changes leverage; transfers funds; creates or stops a bot; subscribes to or redeems an earn product; or signs/broadcasts a transaction, show the exact live/demo profile, instrument, side, size, price constraints, fees, and worst-case loss, then obtain explicit user approval. Default to read-only or demo mode when uncertain. Treat all analysis as research, not investment advice.

汪汪汪·V3稳健趋势策略

核心概念

V3策略是汪汪汪的核心交易系统:少交易、抓趋势、稳复利

信号逻辑

入场信号 = 0.7×趋势信号 + 0.2×动量信号 + 0.1×波动率信号
          趋势信号 = EMA(40%) + Supertrend(30%) + DI方向(30%)

入场条件:
  composite > 0.28 → 做多(ADX>25时全额信号,ADX<25时信号削弱70%)
  composite < -0.28 → 做空

核心参数

参数 默认值 说明
基础杠杆 15x 可上调至18x
ATR止损 2.5x 止损距离
盈亏比 4:1 止盈/止损比
移动止损 浮盈5.5%激活 ATR 2.0x追踪
滚仓复利 浮盈10%触发 50%加仓,最多3次

历史回测(BTCUSDT 15m,148天)

指标 结果
总收益 +25.47%
Sharpe 0.622
最大回撤 24.52%
胜率 21.58%
盈亏比 1.151
交易次数 760笔
爆仓次数 0

使用方式

回测

from strategy import V3StrategyParams, run_backtest
import pandas as pd

params = V3StrategyParams.from_json("config/v3_default.json")
df = pd.read_csv("data.csv")  # 需要 [timestamp, open, high, low, close, volume]

result = run_backtest(df, params, initial_capital=10000)
print(result.to_dict())

命令行回测

python scripts/run_backtest.py --symbol BTCUSDT --timeframe 15m --days 148

修改策略参数

编辑 config/v3_default.json,推荐调节范围:

  • entry_threshold: 0.20~0.40(越小越敏感,交易越多)
  • trend_strength_min: 20~30(ADX阈值,越高越保守)
  • trailing_activation_pct: 0.04~0.08(移动止损激活点)
  • rolling_trigger_pct: 0.08~0.15(滚仓触发点)

参数调整建议

场景 建议调整
牛市 降低 trend_strength_min 至 20,增加交易机会
熊市 提高 trend_strength_min 至 30,减少假信号
高波动 提高 sl_atr_mult 至 3.0,放宽止损
低波动 降低 entry_threshold 至 0.22,更快反应
保守 设置 rolling_enabled: false,禁用滚仓

策略原理

详见 references/strategy_guide.md

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