- Equity
- Drawdown
Trades:
2
Profit Trades:
1 (50.00%)
Loss Trades:
1 (50.00%)
Best trade:
21.83 USD
Worst trade:
-0.43 USD
Gross Profit:
21.83 USD
(2 183 pips)
Gross Loss:
-0.43 USD
(42 pips)
Maximum consecutive wins:
1 (21.83 USD)
Maximal consecutive profit:
21.83 USD (1)
Sharpe Ratio:
0.97
Trading activity:
97.09%
Max deposit load:
23.95%
Latest trade:
6 hours ago
Trades per week:
3
Avg holding time:
5 days
Recovery Factor:
49.77
Long Trades:
1 (50.00%)
Short Trades:
1 (50.00%)
Profit Factor:
50.77
Expected Payoff:
10.70 USD
Average Profit:
21.83 USD
Average Loss:
-0.43 USD
Maximum consecutive losses:
1 (-0.43 USD)
Maximal consecutive loss:
-0.43 USD (1)
Monthly growth:
21.36%
Algo trading:
100%
Drawdown by balance:
Absolute:
0.00 USD
Maximal:
0.43 USD (0.35%)
Relative drawdown:
By Balance:
0.35% (0.43 USD)
By Equity:
2.23% (2.72 USD)
Distribution
| Symbol | Deals | Sell | Buy | |
|---|---|---|---|---|
| EURUSD | 2 | |||
|
1
2
|
1
2
|
1
2
|
| Symbol | Gross Profit, USD | Loss, USD | Profit, USD | |
|---|---|---|---|---|
| EURUSD | 21 | |||
|
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 | 2.1K | |||
|
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:
+21.83
USD
Worst trade:
-0
USD
Maximum consecutive wins:
1
Maximum consecutive losses:
1
Maximal consecutive profit:
+21.83
USD
Maximal consecutive loss:
-0.43
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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