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Density Scalper Valutrades
Reliability
22 weeks (since 2019)
0
0 USD
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Growth

Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
YTD
Total:

Balance

Equity

Drawdown

  • Equity
  • Drawdown
Trades:
267
Profit Trades:
206 (77.15%)
Loss Trades:
61 (22.85%)
Best trade:
6.36 CHF
Worst trade:
-12.07 CHF
Gross Profit:
223.19 CHF (6 408 pips)
Gross Loss:
-82.77 CHF (1 765 pips)
Maximum consecutive wins:
15 (7.05 CHF)
Maximal consecutive profit:
23.04 CHF (9)
Sharpe Ratio:
0.30
Trading activity:
5.79%
Max deposit load:
71.29%
Latest trade:
2 days ago
Trades per week:
12
Avg holding time:
53 minutes
Recovery Factor:
11.63
Long Trades:
141 (52.81%)
Short Trades:
126 (47.19%)
Profit Factor:
2.70
Expected Payoff:
0.53 CHF
Average Profit:
1.08 CHF
Average Loss:
-1.36 CHF
Maximum consecutive losses:
4 (-7.28 CHF)
Maximal consecutive loss:
-12.07 CHF (1)
Monthly growth:
4.57%
Annual Forecast:
55.48%
Algo trading:
100%

Distribution

Symbol Deals Sell Buy
EURUSDv 58
USDCHFv 45
EURCHFv 43
AUDUSDv 27
GBPUSDv 26
EURAUDv 25
USDCADv 19
AUDNZDv 15
EURCADv 9
102030405060
102030405060
102030405060
Symbol Gross Profit, USD Loss, USD Profit, USD
EURUSDv 38
USDCHFv 17
EURCHFv 24
AUDUSDv 18
GBPUSDv 10
EURAUDv 11
USDCADv 4
AUDNZDv 12
EURCADv 12
204060
204060
204060
Symbol Gross Profit, pips Loss, pips Profit, pips
EURUSDv 977
USDCHFv 505
EURCHFv 623
AUDUSDv 515
GBPUSDv 328
EURAUDv 650
USDCADv 358
AUDNZDv 488
EURCADv 335
2505007501K1.3K1.5K1.8K2K
2505007501K1.3K1.5K1.8K2K
2505007501K1.3K1.5K1.8K2K

Drawdown

Best trade:
6.36 CHF
Maximum consecutive wins:
15 (7.05 CHF)
Maximal consecutive profit:
23.04 CHF (9)
Worst trade:
-12.07 CHF
Maximum consecutive losses:
4 (-7.28 CHF)
Maximal consecutive loss:
-12.07 CHF (1)
Drawdown by balance:
Absolute:
4.06 CHF
Maximal:
12.07 CHF (3.38%)
Relative drawdown:
By Balance:
2.51% (7.62 CHF)
By Equity:
4.08% (12.34 CHF)

MFE and MAE Distribution Point Graphs

Maximum profit (MFE) and maximum loss (MAE) values are recorded for each open order during its lifetime. These parameters additionally characterize each closed order using the values of the maximum unrealized potential and maximum permitted risk. MFE/Profit and MAE/Profit distribution graphs display each order as a point with received profit/loss value plotted along the X-axis, while maximum displayed values of potential profit (MFE) and potential loss (MAE) are plotted along the Y-axis.

No data
No data

Place your cursor over parameters/graph captions to see the best and worst trading series. Find out more about MAE and MFE distributions in the article Mathematics in Trading: How to Estimate Trade Results.

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 "Valutrades-Real" and the subscriber's quotes, as well as on order execution delays. Lower values mean better quality of copying.

ICMarkets-Live01
0.45 × 51
Valutrades-Real
0.89 × 87
ICMarkets-Live03
2.13 × 23
ICMarkets-Live05
2.27 × 15
JFD-Live02
2.50 × 40
WhittworthInvesting-Real
3.21 × 28
OANDA-v20 Live
5.52 × 33
AtlanticPearl-Live 1
6.64 × 107
FxPro.com-Real02
8.56 × 39
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Copying the signal might cause high slippage because of different spreads during swap time, so I don't recommend to copy it. 

It would be better to buy or rent the EA yourself: https://www.mql5.com/en/market/product/40941

The maximum deposit load was so high because the account only has 1:30 leverage and for some symbols even only 1:20. 

The signal is running at about 30% maximum drawdown risk. It also uses the Breaking News Filter


About the drawdown calculation:


The portfolio backtests I show are usually done with a fixed lot size of 0.1. This means that you have to look at the fixed drawdown, not the percentage one. For NY Close Scalper with all pairs, the drawdown was about $560 for 0.1 lots, which you can use to scale to the desired risk level. For example, using 0.02 lots like this signal on all pairs would have had about $112 maximum drawdown together in the backtest. 

Things to consider:

The maximum backtest drawdown happened in 2008 and never occurred again in later years. In 2008 the spreads were much larger than they are now and the tick data quality is also much worse for early years. So some developers argue against even using data before 2010/2011. However, since optimization usually leads to underestimation of the expected drawdown, I still prefer to use the 2008 drawdown as the best estimate. 2008 was also the year of a global financial crisis, which might be a risk factor to consider for the future.

Please also keep in mind that there is never any guarantee that the future drawdown will be less than the historical one.

No reviews
2020.01.07 22:50
Removed warning: No trading activity detected on the Signal's account for the recent period
2019.12.29 02:17
No trading activity detected on the Signal's account for the last 6 days
2019.12.02 23:11
Removed warning: This is a newly opened account. Trading results may be of random nature
2019.11.25 12:11
This is a newly opened account, and the trading results may be of random nature
To see trades in realtime, please log in or register
Signal
Price
Growth
Subscribers
Funds
Balance
Weeks
Expert Advisors
Trades
Win %
Activity
PF
Expected Payoff
Drawdown
Leverage
40
USD
15%
0
0
USD
1.3K
CHF
22
100%
267
77%
6%
2.69
0.53
CHF
4%
1:30
Copy