信号
/
MetaTrader 5
/
Torth
增长自 2024
29%
交易:
891
盈利交易:
744 (83.50%)
亏损交易:
147 (16.50%)
最好交易:
1 165.97 GBP
最差交易:
-1 877.23 GBP
毛利:
9 363.76 GBP
(99 719 pips)
毛利亏损:
-7 885.42 GBP
(78 807 pips)
最大连续赢利:
73 (562.57 GBP)
最大连续盈利:
1 207.71 GBP (3)
夏普比率:
0.03
交易活动:
13.60%
最大入金加载:
59.02%
最近交易:
1 几天前
每周交易:
53
平均持有时间:
27 分钟
采收率:
0.76
长期交易:
521 (58.47%)
短期交易:
370 (41.53%)
利润因子:
1.19
预期回报:
1.66 GBP
平均利润:
12.59 GBP
平均损失:
-53.64 GBP
最大连续失误:
13 (-241.76 GBP)
最大连续亏损:
-1 877.23 GBP (1)
每月增长:
10.41%
年度预测:
126.32%
算法交易:
99%
结余跌幅:
绝对:
270.86 GBP
最大值:
1 937.61 GBP (25.96%)
相对跌幅:
结余:
23.94% (1 918.89 GBP)
净值:
12.92% (1 029.81 GBP)
分配
交易品种 | 交易 | Sell | Buy | |
---|---|---|---|---|
XAUUSD+ | 847 | |||
XAUAUD+ | 34 | |||
XAUEUR+ | 10 | |||
200
400
600
800
|
200
400
600
800
|
200
400
600
800
|
交易品种 | 毛利, USD | 损失, USD | 利润, USD | |
---|---|---|---|---|
XAUUSD+ | 2K | |||
XAUAUD+ | 701 | |||
XAUEUR+ | -785 | |||
2.5K
5K
7.5K
10K
13K
15K
18K
20K
|
2.5K
5K
7.5K
10K
13K
15K
18K
20K
|
2.5K
5K
7.5K
10K
13K
15K
18K
20K
|
交易品种 | 毛利, pips | 损失, pips | 利润, pips | |
---|---|---|---|---|
XAUUSD+ | 19K | |||
XAUAUD+ | 4.8K | |||
XAUEUR+ | -2.8K | |||
25K
50K
75K
100K
125K
150K
175K
200K
|
25K
50K
75K
100K
125K
150K
175K
200K
|
25K
50K
75K
100K
125K
150K
175K
200K
|
- 入金加载
- 提取
最好交易:
+1 165.97
GBP
最差交易:
-1 877
GBP
最大连续赢利:
3
最大连续失误:
1
最大连续盈利:
+562.57
GBP
最大连续亏损:
-241.76
GBP
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 VantageInternational-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。
无数据
Torth is the Sindarin (Tolkien elvish language) word for control and stewardship
Symbol - XAUUSD
This strategy uses a trend monitor which is updated every 3 months, more if needed. It will also been run as 3 different modules which can be switched on and off individually as needed for maintenance and optimisation.
All positions across all modules have a Stop Loss Level (SL) and also use Trailing stop levels (if beneficial) as well as immediate auto closing should the trend reverse, securing profit made or limiting losses depending on which situation.
As this uses SL there will be times of drawdown, this can't be avoided. The point is to limit this and recover, which Torth does.
All modules are configured for reasonable risk vs reward with some focusing on accuracy, allowing for the use of higher lot sizes rather than amount of deals. Backtests show that any losses are fully recovered by the end of 2 weeks!
Module 1 - The Vanguard (Now available)
This strategy monitors the trend across the 5M timeframe and will place positions of 0.01 per $1000 following the trend with Take Profit levels (TPs) based on the strength of trend. Trades only during the day (If Rogue is running).
This ratio will slowly widen with balance to garner more security and piece of mind without sacrificing too much growth.
Example:
$1,000 = 0.01 lot
$2,000 = 0.02 lot
$10,000 = 0.10 lot
$50,000 = 0.30 lot
Recently added a secondary component that focuses on a couple of hours in the mid afternoon (around 2:30pm GMT) that places 9 separate positions with profit tracking for each individual part that total at 4.5% risk (balance permitting based on SL set). Tuned for high accuracy and with a built in recovery feature.
Module 2 - The Tactician (Now available)
This module focusses on placing slightly larger scaled risk positions (currently set to 1% risk) on the 1H chart with a TP and a time frame filter, the focus is to allow monitoring price movements across different timeframes to increase likelihood of scoring a hit and tuning the Trailing loss level to secure a price backpedal, resulting in a larger profit to hopefully help cover any losses from Vanguard and likely give it some more speed.
Due to the nature of this, it will be tuned to trade infrequently with a heavy focus on positive success rate. Resulting in a nice extra profit with minimal risk.
Module 3 - The Rogue (Now Available)
This module only trades at night and searches for deals across several symbols (XAU vs USD, EUR, AUD) based on the market's tendency to return to average daily values. It will adapt the TP to how the current trend is performing and grabs a few wins whilst the other modules are sleeping.
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