该策略是一个基于做市商行为和机构级流动性分析的交易系统。它通过追踪市场流动性指标、订单簿失衡和做市商足迹来识别高概率交易机会。策略融合了动态成本平均(DCAA)方法与对冲流动性系统,以实现风险最小化和收益最大化。该系统完全摒弃了传统技术指标,转而依赖于机构级别的市场微观结构分析。
策略的核心是通过多维度数据来追踪做市商行为: 1. 使用VWAP(成交量加权平均价格)来确认机构吸筹/出货位置 2. 通过CVD(累计成交量差)来检测多空双方的实际力量对比 3. 结合订单簿数据来识别流动性陷阱和止损猎杀区域 4. 通过动态成本平均方法在关键支撑位建立分批建仓系统 5. 配合对冲系统在市场剧烈波动时进行风险管理
这是一个建立在市场微观结构基础上的机构级交易策略。通过对做市商行为的深入分析,结合动态成本平均和对冲系统,策略能够在不同市场环境下保持稳定性。虽然策略实施需要克服一些技术和操作上的挑战,但其核心理念和方法论具有扎实的市场微观结构基础,具备长期稳定盈利的潜力。
/*backtest
start: 2024-12-12 00:00:00
end: 2025-02-18 08:00:00
period: 1d
basePeriod: 1d
exchanges: [{"eid":"Binance","currency":"ETH_USDT"}]
*/
//@version=6
strategy("EDGE Market Maker Strategy – DCAA & HedgeFlow", overlay=true)
// ✅ Import Indicators
vwapLine = ta.vwap
superTrend = ta.sma(close, 10) // Replace with actual Supertrend formula if needed
volData = volume // Volume from current timeframe
cvdData = ta.cum(close - close[1]) // Approximation of CVD (Cumulative Volume Delta)
orderBlockHigh = ta.highest(high, 20) // Approximate Order Block Detection
orderBlockLow = ta.lowest(low, 20)
// ✅ Market Maker Buy Conditions
longCondition = ta.crossover(close, vwapLine) and cvdData > cvdData[1] and volData > volData[1]
if longCondition
strategy.entry("BUY", strategy.long)
// ✅ Market Maker Sell Conditions
shortCondition = ta.crossunder(close, vwapLine) and cvdData < cvdData[1] and volData > volData[1]
if shortCondition
strategy.entry("SELL", strategy.short)
// ✅ Order Block Confirmation (For Stronger Signals)
longOB = longCondition and close > orderBlockHigh
shortOB = shortCondition and close < orderBlockLow
if longOB
label.new(bar_index, high, "BUY (Order Block)", color=color.green, textcolor=color.white, style=label.style_label_down)
if shortOB
label.new(bar_index, low, "SELL (Order Block)", color=color.red, textcolor=color.white, style=label.style_label_up)
// ✅ DCAA Levels – Adaptive Re-Entry Strategy
dcaaBuy1 = close * 0.97 // First re-entry for long position (3% drop)
dcaaBuy2 = close * 0.94 // Second re-entry for long position (6% drop)
dcaaSell1 = close * 1.03 // First re-entry for short position (3% rise)
dcaaSell2 = close * 1.06 // Second re-entry for short position (6% rise)
if longCondition
strategy.entry("DCAA_BUY_1", strategy.long, limit=dcaaBuy1)
strategy.entry("DCAA_BUY_2", strategy.long, limit=dcaaBuy2)
if shortCondition
strategy.entry("DCAA_SELL_1", strategy.short, limit=dcaaSell1)
strategy.entry("DCAA_SELL_2", strategy.short, limit=dcaaSell2)
// ✅ HedgeFlow System – Dynamic Hedge Adjustments
hedgeLong = ta.crossunder(close, superTrend) and cvdData < cvdData[1] and volData > volData[1]
hedgeShort = ta.crossover(close, superTrend) and cvdData > cvdData[1] and volData > volData[1]
if hedgeLong
strategy.entry("HEDGE_LONG", strategy.long)
if hedgeShort
strategy.entry("HEDGE_SHORT", strategy.short)
// ✅ Take Profit & Stop Loss
tpLong = close * 1.05
tpShort = close * 0.95
slLong = close * 0.97
slShort = close * 1.03
strategy.exit("TP_Long", from_entry="BUY", limit=tpLong, stop=slLong)
strategy.exit("TP_Short", from_entry="SELL", limit=tpShort, stop=slShort)
// ✅ Plot VWAP & Supertrend for Reference
plot(vwapLine, title="VWAP", color=color.blue, linewidth=2)
plot(superTrend, title="Supertrend", color=color.orange, linewidth=2)