growth since 2026
38%
- Equity
- Drawdown
Trades:
9
Profit Trades:
8 (88.88%)
Loss Trades:
1 (11.11%)
Best trade:
17.34 USD
Worst trade:
-1.45 USD
Gross Profit:
39.86 USD
(2 643 pips)
Gross Loss:
-1.45 USD
(145 pips)
Maximum consecutive wins:
5 (26.76 USD)
Maximal consecutive profit:
26.76 USD (5)
Sharpe Ratio:
0.75
Trading activity:
98.15%
Max deposit load:
53.41%
Latest trade:
12 hours ago
Trades per week:
11
Avg holding time:
10 hours
Recovery Factor:
26.49
Long Trades:
4 (44.44%)
Short Trades:
5 (55.56%)
Profit Factor:
27.49
Expected Payoff:
4.27 USD
Average Profit:
4.98 USD
Average Loss:
-1.45 USD
Maximum consecutive losses:
1 (-1.45 USD)
Maximal consecutive loss:
-1.45 USD (1)
Monthly growth:
38.39%
Algo trading:
100%
Drawdown by balance:
Absolute:
0.00 USD
Maximal:
1.45 USD (1.14%)
Relative drawdown:
By Balance:
1.14% (1.45 USD)
By Equity:
3.45% (4.38 USD)
Distribution
| Symbol | Deals | Sell | Buy | |
|---|---|---|---|---|
| EURUSD.FX | 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.FX | 38 | |||
|
10
20
30
40
50
|
10
20
30
40
50
|
10
20
30
40
50
|
| Symbol | Gross Profit, pips | Loss, pips | Profit, pips | |
|---|---|---|---|---|
| EURUSD.FX | 2.5K | |||
|
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:
+17.34
USD
Worst trade:
-1
USD
Maximum consecutive wins:
5
Maximum consecutive losses:
1
Maximal consecutive profit:
+26.76
USD
Maximal consecutive loss:
-1.45
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 "tastyfx-LIVE" and the subscriber's quotes, as well as on order execution delays. Lower values mean better quality of copying.
No data
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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