growth since 2026
-4%
- Equity
- Drawdown
Trades:
15
Profit Trades:
6 (40.00%)
Loss Trades:
9 (60.00%)
Best trade:
0.69 USD
Worst trade:
-3.87 USD
Gross Profit:
2.62 USD
(656 pips)
Gross Loss:
-7.08 USD
(1 768 pips)
Maximum consecutive wins:
3 (1.11 USD)
Maximal consecutive profit:
1.11 USD (3)
Sharpe Ratio:
-0.28
Trading activity:
90.96%
Max deposit load:
10.10%
Latest trade:
22 hours ago
Trades per week:
16
Avg holding time:
5 hours
Recovery Factor:
-0.97
Long Trades:
8 (53.33%)
Short Trades:
7 (46.67%)
Profit Factor:
0.37
Expected Payoff:
-0.30 USD
Average Profit:
0.44 USD
Average Loss:
-0.79 USD
Maximum consecutive losses:
3 (-1.19 USD)
Maximal consecutive loss:
-4.33 USD (2)
Monthly growth:
-4.46%
Algo trading:
100%
Drawdown by balance:
Absolute:
4.53 USD
Maximal:
4.59 USD (4.59%)
Relative drawdown:
By Balance:
4.60% (4.60 USD)
By Equity:
4.79% (4.77 USD)
Distribution
| Symbol | Deals | Sell | Buy | |
|---|---|---|---|---|
| EURUSD | 15 | |||
|
5
10
15
20
|
5
10
15
20
|
5
10
15
20
|
| Symbol | Gross Profit, USD | Loss, USD | Profit, USD | |
|---|---|---|---|---|
| EURUSD | -4 | |||
|
2
4
6
8
10
|
2
4
6
8
10
|
2
4
6
8
10
|
| 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:
+0.69
USD
Worst trade:
-4
USD
Maximum consecutive wins:
3
Maximum consecutive losses:
2
Maximal consecutive profit:
+1.11
USD
Maximal consecutive loss:
-1.19
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 "Trading.comMarkets-MT5" 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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