信号
/
MetaTrader 5
/
Darwinex
信号
添加小工具
规则成长:
2.73%
利润:
2 730.20 USD
净值:
102 451.19 USD
结余:
102 730.20 USD
初始入金:
100 000.00 USD
出金:
0.00 USD
入金:
0.00 USD
2天内获得80%的增长。这相当于信号整个生命周期79天中的2.53%天。
交易日:
34 (43.04%)
最近交易:
4 几小时前
每周交易:
11
平均持有时间:
9 小时
订阅者:
0
周:
12
已开始:
2024.04.24 10:50:53
观看YouTube上的有关交易信号的视频教程
Darwinex
可靠性
12 周
0
/
0 USD
增长自 2024
3%
交易:
65
盈利交易:
37 (56.92%)
亏损交易:
28 (43.08%)
最好交易:
2 104.89 USD
最差交易:
-1 695.41 USD
毛利:
17 647.62 USD
(12 386 pips)
毛利亏损:
-14 917.42 USD
(8 239 pips)
最大连续赢利:
5 (3 298.81 USD)
最大连续盈利:
3 298.81 USD (5)
夏普比率:
0.07
交易活动:
33.00%
最大入金加载:
35.60%
最近交易:
4 几小时前
每周交易:
11
平均持有时间:
9 小时
采收率:
1.15
长期交易:
32 (49.23%)
短期交易:
33 (50.77%)
利润因子:
1.18
预期回报:
42.00 USD
平均利润:
476.96 USD
平均损失:
-532.77 USD
最大连续失误:
5 (-2 342.04 USD)
最大连续亏损:
-2 342.04 USD (5)
每月增长:
2.38%
算法交易:
100%
结余跌幅:
绝对:
2 319.25 USD
最大值:
2 365.08 USD (2.30%)
相对跌幅:
结余:
2.32% (2 319.25 USD)
净值:
1.43% (1 466.75 USD)
分配
| 交易品种 | 交易 | Sell | Buy | |
|---|---|---|---|---|
| NI225 | 8 | |||
| GBPUSD | 7 | |||
| AUDUSD | 6 | |||
| NDX | 5 | |||
| AUDCAD | 5 | |||
| NZDCAD | 4 | |||
| NZDUSD | 3 | |||
| GBPCAD | 3 | |||
| USDJPY | 3 | |||
| UK100 | 3 | |||
| XTIUSD | 2 | |||
| FCHI40 | 2 | |||
| CADJPY | 2 | |||
| STOXX50E | 2 | |||
| AUS200 | 2 | |||
| GBPJPY | 2 | |||
| EURUSD | 2 | |||
| USDCAD | 2 | |||
| GDAXI | 1 | |||
| SP500 | 1 | |||
|
1
2
3
4
5
6
7
8
|
1
2
3
4
5
6
7
8
|
1
2
3
4
5
6
7
8
|
| 交易品种 | 毛利, USD | 损失, USD | 利润, USD | |
|---|---|---|---|---|
| NI225 | 29 | |||
| GBPUSD | -275 | |||
| AUDUSD | -1.1K | |||
| NDX | 3.1K | |||
| AUDCAD | 645 | |||
| NZDCAD | -1.3K | |||
| NZDUSD | -586 | |||
| GBPCAD | -567 | |||
| USDJPY | 769 | |||
| UK100 | 1.3K | |||
| XTIUSD | -81 | |||
| FCHI40 | -399 | |||
| CADJPY | 141 | |||
| STOXX50E | 558 | |||
| AUS200 | -70 | |||
| GBPJPY | 715 | |||
| EURUSD | -315 | |||
| USDCAD | -267 | |||
| GDAXI | 207 | |||
| SP500 | 208 | |||
|
1K
2K
3K
4K
5K
6K
|
1K
2K
3K
4K
5K
6K
|
1K
2K
3K
4K
5K
6K
|
| 交易品种 | 毛利, pips | 损失, pips | 利润, pips | |
|---|---|---|---|---|
| NI225 | 79 | |||
| GBPUSD | -283 | |||
| AUDUSD | -351 | |||
| NDX | 3.1K | |||
| AUDCAD | 414 | |||
| NZDCAD | -526 | |||
| NZDUSD | -313 | |||
| GBPCAD | -461 | |||
| USDJPY | 890 | |||
| UK100 | 776 | |||
| XTIUSD | -19 | |||
| FCHI40 | -586 | |||
| CADJPY | 134 | |||
| STOXX50E | 290 | |||
| AUS200 | -42 | |||
| GBPJPY | 919 | |||
| EURUSD | -175 | |||
| USDCAD | -122 | |||
| GDAXI | 380 | |||
| SP500 | 90 | |||
|
1K
2K
3K
4K
5K
6K
|
1K
2K
3K
4K
5K
6K
|
1K
2K
3K
4K
5K
6K
|
- 入金加载
- 提取
最好交易:
+2 104.89
USD
最差交易:
-1 695
USD
最大连续赢利:
5
最大连续失误:
5
最大连续盈利:
+3 298.81
USD
最大连续亏损:
-2 342.04
USD
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 Darwinex-Live 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。
|
ICMarketsSC-MT5-2
|
0.00 × 2 | |
|
ICMarketsSC-MT5
|
0.00 × 2 | |
|
RoboForex-ECN
|
0.15 × 33 | |
|
FXOpen-MT5
|
0.20 × 5 | |
|
VantageFXInternational-Live
|
0.47 × 17 | |
|
AmanaCapital-Live
|
0.63 × 875 | |
|
ForexTimeFXTM-Live01
|
0.94 × 17 | |
|
Darwinex-Live
|
0.95 × 4177 | |
|
Pepperstone-MT5-Live01
|
1.06 × 142 | |
|
PrimeCodex-MT5
|
1.08 × 429 | |
|
FXChoice-MetaTrader 5 Pro
|
1.40 × 5 | |
|
Ava-Real 1-MT5
|
2.00 × 5 | |
|
SMCapitalMarkets-Live2
|
2.00 × 1 | |
|
BlackBullMarkets-Live
|
3.00 × 1 | |
|
XMGlobal-MT5 2
|
3.04 × 28 | |
|
AdmiralMarkets-Live
|
3.31 × 271 | |
|
FPMarkets-Live
|
4.00 × 2 | |
|
BCS5-Real
|
4.50 × 4 | |
|
GBEbrokers-LIVE
|
4.50 × 2 | |
|
TickmillUK-Live
|
4.80 × 5 | |
|
Binary.com-Server
|
5.22 × 9 | |
|
XMGlobal-MT5 4
|
5.69 × 663 | |
|
FBS-Real
|
6.50 × 20 | |
|
SCFMLimited-Live2
|
7.43 × 7 | |
|
FxPro-MT5
|
12.00 × 2 | |
My method is based on the composition of a portfolio of trading systems applied to different financial instruments and different markets, to try to have as much diversification as possible, thus reducing the risk of the portfolio and minimizing the periods of stagnation.
As a first step we have the creation of trading systems. It all stems from a very simple trading idea based on input triggers. As stop loss I use a certain number of pips calculated on the basis of the average volatility of the existing financial instrument.
As a second step we backtest the strategy in the past, using very high quality data.
As a third step we proceed with the optimization of the various parameters that make up our trading system. In this phase we must be very careful not to over-optimize our trading system too much as by doing so we will go against the famous "overfitting"
Before going live with our trading sytems we must carefully choose which systems to use, in order to have the most balanced portfolio possible and avoid all the various correlations.
没有评论
Removed warning: This is a newly opened account. Trading results may be of random nature
Removed warning: The number of deals on the account is too small to evaluate trading
80% of growth achieved within 2 days. This comprises 4% of days out of 50 days of the signal's entire lifetime.
Share of days for 80% of growth is too low
80% of growth achieved within 2 days. This comprises 4.55% of days out of 44 days of the signal's entire lifetime.
Share of days for 80% of growth is too low
80% of growth achieved within 2 days. This comprises 4.76% of days out of 42 days of the signal's entire lifetime.
This is a newly opened account, and the trading results may be of random nature
The number of deals on the account is too small to evaluate trading quality
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