- Equity
- Drawdown
Trades:
9
Profit Trades:
4 (44.44%)
Loss Trades:
5 (55.56%)
Best trade:
3.94 USD
Worst trade:
-7.06 USD
Gross Profit:
7.48 USD
(746 pips)
Gross Loss:
-18.35 USD
(1 834 pips)
Maximum consecutive wins:
1 (3.94 USD)
Maximal consecutive profit:
3.94 USD (1)
Sharpe Ratio:
-0.33
Trading activity:
97.66%
Max deposit load:
27.31%
Latest trade:
22 hours ago
Trades per week:
9
Avg holding time:
1 day
Recovery Factor:
-0.70
Long Trades:
4 (44.44%)
Short Trades:
5 (55.56%)
Profit Factor:
0.41
Expected Payoff:
-1.21 USD
Average Profit:
1.87 USD
Average Loss:
-3.67 USD
Maximum consecutive losses:
3 (-10.23 USD)
Maximal consecutive loss:
-10.23 USD (3)
Monthly growth:
-10.93%
Algo trading:
100%
Drawdown by balance:
Absolute:
13.87 USD
Maximal:
15.48 USD (15.23%)
Relative drawdown:
By Balance:
15.31% (15.48 USD)
By Equity:
7.48% (6.93 USD)
Distribution
| Symbol | Deals | Sell | Buy | |
|---|---|---|---|---|
| EURUSD | 9 | |||
|
1
2
3
4
5
6
7
8
9
|
1
2
3
4
5
6
7
8
9
|
1
2
3
4
5
6
7
8
9
|
| Symbol | Gross Profit, USD | Loss, USD | Profit, USD | |
|---|---|---|---|---|
| EURUSD | -11 | |||
|
5
10
15
20
25
30
|
5
10
15
20
25
30
|
5
10
15
20
25
30
|
| Symbol | Gross Profit, pips | Loss, pips | Profit, pips | |
|---|---|---|---|---|
| EURUSD | -1.1K | |||
|
250
500
750
1K
1.3K
1.5K
1.8K
2K
2.3K
2.5K
2.8K
3K
|
250
500
750
1K
1.3K
1.5K
1.8K
2K
2.3K
2.5K
2.8K
3K
|
250
500
750
1K
1.3K
1.5K
1.8K
2K
2.3K
2.5K
2.8K
3K
|
- Deposit load
- Drawdown
Best trade:
+3.94
USD
Worst trade:
-7
USD
Maximum consecutive wins:
1
Maximum consecutive losses:
3
Maximal consecutive profit:
+3.94
USD
Maximal consecutive loss:
-10.23
USD
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 "Forex.com-Live 536" and the subscriber's quotes, as well as on order execution delays. Lower values mean better quality of copying.
These signals are generated by a proprietary AI framework purpose-built for forex, integrating deep neural networks with structural market analysis across multiple timeframes. Trained on extensive historical and streaming data, the system models non-linear dynamics and evolving market regimes to surface statistically high-confidence trade setups. The result is an adaptive, multi-horizon signal engine engineered to convert complex data flows into precise, execution-ready insights.
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