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分配
| 交易品种 | 交易 | Sell | Buy | |
|---|---|---|---|---|
| GBPUSD | 399 | |||
| NZDCAD | 365 | |||
| AUDNZD | 361 | |||
| AUDCAD | 338 | |||
| GBPCAD | 337 | |||
| EURGBP | 251 | |||
| NZDUSD | 167 | |||
| EURUSD | 162 | |||
| USDJPY | 160 | |||
| AUDUSD | 154 | |||
| USDCAD | 105 | |||
| EURJPY | 96 | |||
| EURCAD | 96 | |||
| USDCHF | 88 | |||
| EURCHF | 26 | |||
| EURAUD | 21 | |||
| GBPAUD | 19 | |||
| XAUUSD | 18 | |||
| CADCHF | 11 | |||
| BTCUSD | 4 | |||
| CHFJPY | 3 | |||
| AUDJPY | 3 | |||
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| 交易品种 | 毛利, USD | 损失, USD | 利润, USD | |
|---|---|---|---|---|
| GBPUSD | 573 | |||
| NZDCAD | 3.9K | |||
| AUDNZD | -300 | |||
| AUDCAD | 6.6K | |||
| GBPCAD | -2.9K | |||
| EURGBP | 144 | |||
| NZDUSD | 681 | |||
| EURUSD | 129 | |||
| USDJPY | 1.1K | |||
| AUDUSD | 1.1K | |||
| USDCAD | 583 | |||
| EURJPY | 8 | |||
| EURCAD | 356 | |||
| USDCHF | -318 | |||
| EURCHF | -241 | |||
| EURAUD | 36 | |||
| GBPAUD | 62 | |||
| XAUUSD | 307 | |||
| CADCHF | 57 | |||
| BTCUSD | -14 | |||
| CHFJPY | 4 | |||
| AUDJPY | 8 | |||
|
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| 交易品种 | 毛利, pips | 损失, pips | 利润, pips | |
|---|---|---|---|---|
| GBPUSD | 16K | |||
| NZDCAD | 27K | |||
| AUDNZD | 20K | |||
| AUDCAD | 63K | |||
| GBPCAD | -173K | |||
| EURGBP | 20K | |||
| NZDUSD | 17K | |||
| EURUSD | 9.4K | |||
| USDJPY | 20K | |||
| AUDUSD | 27K | |||
| USDCAD | 25K | |||
| EURJPY | -121 | |||
| EURCAD | 15K | |||
| USDCHF | -1.4K | |||
| EURCHF | -2.1K | |||
| EURAUD | 1.2K | |||
| GBPAUD | 1.7K | |||
| XAUUSD | 19K | |||
| CADCHF | 777 | |||
| BTCUSD | -30K | |||
| CHFJPY | 122 | |||
| AUDJPY | 184 | |||
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提取
MFE和 MAE分布点图
在使用期内为每个持仓订单记录最大利润 (MFE) 值和最大亏损(MAE)值。这些参数使用最大未实现的潜在值和最大容许风险额外表现每个封闭位置。MFE/利润和MAE/利润分布图显示每个位置为沿X轴绘制的收到利润/亏损值的一个点，而潜在利润（MFE）和潜在亏损（MAE）的最大显示值则是沿Y轴绘制。
将光标放在参数/图说明上可以看到最佳和最糟的交易系列。在文章交易中的数学：如何评估交易结果中了解更多有关MAE和MFE分布的信息。
基于有关不同交易商真实账户的执行统计的平均滑移点按点数指定。它取决于 ICMarketsSC-MT5 提供商以及订阅者之间不同的报价，以及订单执行的延迟。值越低意味着复制的质量越高。
|
ICTrading-MT5-4
|
0.00 × 6 | |
|
ICMarkets-MT5-2
|
0.00 × 5 | |
|
PUPrime-Live
|
0.00 × 2 | |
|
TengriSecurities-Server
|
0.00 × 1 | |
|
GoMarkets-Demo
|
0.00 × 2 | |
|
FairForex-LIVE
|
0.67 × 3 | |
|
ICMarketsEU-MT5
|
0.94 × 1462 | |
|
CapitalXtend-MetaTrader5
|
1.00 × 2 | |
|
ScopeMarkets-Live
|
1.33 × 3 | |
|
ICMarketsSC-MT5-2
|
1.37 × 19685 | |
|
ICMarketsSC-MT5
|
1.62 × 68196 | |
|
ICMarketsEU-MT5-2
|
1.75 × 426 | |
|
ICMarkets-MT5
|
1.79 × 12461 | |
|
Darwinex-Live
|
2.07 × 324 | |
|
PepperstoneUK-Live
|
2.08 × 888 | |
|
ForexTime-Live01
|
2.34 × 126 | |
|
VantageFX-Live
|
2.42 × 36 | |
|
TickmillEU-Live
|
2.45 × 11 | |
|
Exness-MT5Real3
|
2.57 × 969 | |
|
Exness-MT5Real2
|
2.61 × 195 | |
|
FXOpen-MT5
|
2.67 × 6 | |
|
GOMarketsMU-Live
|
2.67 × 9 | |
|
FocusMarkets-Real
|
2.67 × 1184 | |
|
Hankotrade-Live
|
3.09 × 946 | |
|
LiteFinance-MT5
|
3.13 × 23 | |
This signal is very stable and backtested in 10 years with a maximal DD of 15% on its current settings.
This signal had two previous risky configurations that gave us three big lessons:
1) Lineal optimizations always fails, do not expect a long term survival of a forced recovery grid/martin system
2) Lots should be limited to a worse-case 50% historical max of 10 years at least: check EUR fall 2021 and GBP fall 2022.
3) Any trade should have a time limit (expiration), market comes in pulses, black-swan events are always preceded by a similar direction previous pulse.
We decided then to include a new volatility-based approach to our strategy starting in September 2022.
Update: In 2022 we had a huge DD due to a black swan event related to GBP, several signals in MQL5 went to zero, fortunately our strategy was more cautionary, even that, we decided to cut risks and asume a partial lose but not entire capital, this event gave us a lesson, now we incorporated a lot limit algorithm, some small negative months can occur, but the signal is now safer than before.