- Equity
- Drawdown
Trades:
10
Profit Trades:
9 (90.00%)
Loss Trades:
1 (10.00%)
Best trade:
24.32 USD
Worst trade:
-2.03 USD
Gross Profit:
120.25 USD
(9 371 pips)
Gross Loss:
-2.03 USD
(96 pips)
Maximum consecutive wins:
5 (56.71 USD)
Maximal consecutive profit:
63.54 USD (4)
Sharpe Ratio:
1.37
Trading activity:
75.56%
Max deposit load:
70.88%
Latest trade:
4 days ago
Trades per week:
9
Avg holding time:
3 days
Recovery Factor:
58.24
Long Trades:
10 (100.00%)
Short Trades:
0 (0.00%)
Profit Factor:
59.24
Expected Payoff:
11.82 USD
Average Profit:
13.36 USD
Average Loss:
-2.03 USD
Maximum consecutive losses:
1 (-2.03 USD)
Maximal consecutive loss:
-2.03 USD (1)
Monthly growth:
29.20%
Algo trading:
100%
Drawdown by balance:
Absolute:
0.00 USD
Maximal:
2.03 USD (0.44%)
Relative drawdown:
By Balance:
0.44% (2.03 USD)
By Equity:
5.37% (28.09 USD)
Distribution
| Symbol | Deals | Sell | Buy | |
|---|---|---|---|---|
| AVGO | 2 | |||
| MSFT | 1 | |||
| GOOGL | 1 | |||
| NVDA | 1 | |||
| JPM | 1 | |||
| AAPL | 1 | |||
| AMZN | 1 | |||
| V | 1 | |||
| WMT | 1 | |||
|
1
2
|
1
2
|
1
2
|
| Symbol | Gross Profit, USD | Loss, USD | Profit, USD | |
|---|---|---|---|---|
| AVGO | 42 | |||
| MSFT | 5 | |||
| GOOGL | 3 | |||
| NVDA | 20 | |||
| JPM | 4 | |||
| AAPL | -2 | |||
| AMZN | 18 | |||
| V | 16 | |||
| WMT | 12 | |||
|
10
20
30
40
50
|
10
20
30
40
50
|
10
20
30
40
50
|
| Symbol | Gross Profit, pips | Loss, pips | Profit, pips | |
|---|---|---|---|---|
| AVGO | 4.2K | |||
| MSFT | 554 | |||
| GOOGL | 278 | |||
| NVDA | 1K | |||
| JPM | 408 | |||
| AAPL | -96 | |||
| AMZN | 913 | |||
| V | 1.7K | |||
| WMT | 301 | |||
|
1K
2K
3K
4K
5K
|
1K
2K
3K
4K
5K
|
1K
2K
3K
4K
5K
|
- Deposit load
- Drawdown
Best trade:
+24.32
USD
Worst trade:
-2
USD
Maximum consecutive wins:
4
Maximum consecutive losses:
1
Maximal consecutive profit:
+56.71
USD
Maximal consecutive loss:
-2.03
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 "Tickmill-Live" and the subscriber's quotes, as well as on order execution delays. Lower values mean better quality of copying.
No data
This signal applies robust medium-term strategies to large-cap U.S. stocks. It is built around simple, time-tested market behavior, not over-optimized models. The system uses only a small number of parameters and was designed with long-term stability in mind. Compared with noisy intraday Forex trading, medium-term stock strategies are generally more resilient, more transparent, and less dependent on execution speed. The focus here is on disciplined, repeatable trading in liquid American equities.
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