Star hedging EA
Reliability
13 weeks (since 2018)
0
0 USD
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Growth

Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
YTD
Total:

Balance

Equity

Drawdown

  • Equity
  • Drawdown
Trades:
8327
Profit Trades:
5496 (66.00%)
Loss Trades:
2831 (34.00%)
Best trade:
215.17 USD
Worst trade:
-49.45 USD
Gross Profit:
16649.57 USD (920475 pips)
Gross Loss:
-9519.62 USD (702040 pips)
Maximum consecutive wins:
34 (225.62 USD)
Maximal consecutive profit:
527.29 USD (4)
Sharpe Ratio:
0.14
Trading activity:
98.59%
Max deposit load:
20.67%
Recovery Factor:
18.89
Long Trades:
4200 (50.44%)
Short Trades:
4127 (49.56%)
Profit Factor:
1.75
Expected Payoff:
0.86 USD
Average Profit:
3.03 USD
Average Loss:
-3.36 USD
Maximum consecutive losses:
34 (-48.86 USD)
Maximal consecutive loss:
-377.54 USD (17)
Monthly growth:
0.00%
Annual Forecast:
1.89%
Algo trading:
99%

Distribution

Symbol Deals Sell Buy
EURUSD 2123
EURGBP 2055
GBPCHF 1419
USDCHF 1278
EURCHF 962
GBPUSD 489
XAUUSD 1
2505007501K1.3K1.5K1.8K2K2.3K2.5K2.8K3K
2505007501K1.3K1.5K1.8K2K2.3K2.5K2.8K3K
2505007501K1.3K1.5K1.8K2K2.3K2.5K2.8K3K
Symbol Gross Profit, USD Loss, USD Profit, USD
EURUSD 2.4K
EURGBP 849
GBPCHF 1.1K
USDCHF 525
EURCHF 1.1K
GBPUSD 1.2K
XAUUSD -2
2K4K6K8K
2K4K6K8K
2K4K6K8K
Symbol Gross Profit, pips Loss, pips Profit, pips
EURUSD 76K
EURGBP 29K
GBPCHF 44K
USDCHF 9.3K
EURCHF 31K
GBPUSD 29K
XAUUSD -40
100K200K300K400K500K
100K200K300K400K500K
100K200K300K400K500K
Best trade:
215.17 USD
Maximum consecutive wins:
34 (225.62 USD)
Maximal consecutive profit:
527.29 USD (4)
Worst trade:
-49.45 USD
Maximum consecutive losses:
34 (-48.86 USD)
Maximal consecutive loss:
-377.54 USD (17)
Drawdown by balance:
Absolute:
0.00 USD
Maximal:
377.54 USD (2.37%)
Relative drawdown:
By Balance:
2.37% (377.54 USD)
By Equity:
37.66% (6454.28 USD)

MFE and MAE Distribution Point Graphs

Maximum profit (MFE) and maximum loss (MAE) values are recorded for each open order during its lifetime. These parameters additionally characterize each closed order using the values of the maximum unrealized potential and maximum permitted risk. MFE/Profit and MAE/Profit distribution graphs display each order as a point with received profit/loss value plotted along the X-axis, while maximum displayed values of potential profit (MFE) and potential loss (MAE) are plotted along the Y-axis.

No data
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Place your cursor over parameters/graph captions to see the best and worst trading series. Find out more about MAE and MFE distributions in the article Mathematics in Trading: How to Estimate Trade Results.

The average slippage based on execution statistics on real accounts of various brokers is specified in pips. It depends on the difference between the provider's quotes from "USGFX-Live" and the subscriber's quotes, as well as on order execution delays. Lower values mean better quality of copying.

Pepperstone-Edge01
0.00 × 7
RoboForexEU-ECN
0.00 × 4
MYFXMarkets-US03-Live
0.00 × 35
GMT-Server
0.00 × 57
EGlobal-Cent4
0.00 × 12
AFX-Real
0.00 × 4
ICMarkets-Live08
0.00 × 7
OANDA-GMT+2 Live
0.00 × 1
AxiTrader-US06-Live
0.00 × 1
AxiTrader-US09-Live
0.00 × 16
CMXMarkets-Real
0.00 × 6
AlpariUK-Micro-2
0.00 × 5
ICMarkets-Live12
0.00 × 20
FBS-Real
0.00 × 1
HFMarkets-Live Server
0.00 × 3
Exness-Real2
0.00 × 8
XM.COM-Real 6
0.00 × 1
XM.COM-Real 14
0.00 × 17
Alpari-Standard3
0.04 × 55
Pepperstone-Demo02
0.04 × 255
ForexClub-MT4 Real Server
0.05 × 107
FXPRIMUS-Live-3
0.05 × 2238
RoboForexEU-ProCent
0.06 × 36
ICMarkets-Live05
0.09 × 214
FBS-Real-7
0.10 × 142
79 more...
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交易策略原理描述
 
本交易策略为双货币属性对冲套利模型。货币套利策略并非新创,国际上有很多专业投资机构都在使用这个方法获利。双货币对冲套利,主要根据外汇交易市场中所选货币对之间的发散与回归,通过系统自动识别出比较理想的对冲机会进行交易。
 
此交易系统选择了欧元/美元和英镑/美元作为对冲交易标的,因为欧元和英镑的波动关联性很强,一般情况下同涨同跌,当两种货币出现短期分化时则交易机会出现。由于交易模型基于以上货币波动属性,因此一直比较实用和有效,市场也终会存在这样的交易机会。这种交易方式结合良好的资金管理,既可以降低判断单一货币对市场波动方向的不定因素,同时又能相对稳健获利。对于很多经验不足、没有时间、投资收益不稳定、交易量低的投资者和从业者来说是非常好的选择。
 
风险与收益
 
本策略模型主要针对欧元/美元和英镑/美元走势分化后的回归进行交易。在交易过程中,每天会有大量的单子完成对冲,获得收益平仓。当日无法冲出的单子会导致账面一直显示浮动亏损状态。根据欧元和英镑波动幅度的大小,浮亏也可大可小。但最终属性回归会将亏损冲出,实现全部单子整体盈利。预期月收益能达到 15%-25%。
 
无论该交易系统正确率多高,我们还是要以市场的最终走势为准,系统的识别也可能出现失误。一旦出现欧美与镑美大幅度走势分化,该交易模型可能因资金不足导致账户的最终亏 损。因此,在风险控制上,我们采用 100 对(200 单)作为对冲模型的单量上限,这样大大 降低了突发事件和极端行情发生时可能产生的风险。
No reviews
2018.08.27 17:15
High current drawdown in 32% indicates the absence of risk limitation
2018.08.07 11:38
Removed warning: This is a newly opened account. Trading results may be of random nature
2018.07.25 11:12
Removed warning: Too frequent deals may negatively impact copying results
2018.06.05 05:53 2018.06.05 05:53:05 

非常不错 回撤非常小

2018.06.05 04:05
This is a newly opened account, and the trading results may be of random nature
2018.06.05 04:05
Too frequent deals may negatively impact copying results
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