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Demo · Cartera EAs · Summary

Demo Broker Ltd · Demo-Server · MT5 · 1234567

Balance
31,276.66
USD
Equity
31,348.66
USD
Net result
−31.30
−0.10 % in the period
Max drawdown
−2.42 %
Current −2.42 %
Profit factor
0.93
Return/DD −0.04
Expectancy
−4.47
7 trades
Win rate
42.9 %
Payoff 1.23

Balance and equity curve

31,66730,83330,0000 %−2.5 %10/20/202610/21/202610/22/202610/23/202610/24/202610/25/202610/26/2026
Balance Net deposits Equity Equity drawdown

Risk metrics

Sharpe
—
Sortino
—
Calmar
—

On daily returns, annualised (252 days). Sharpe and Sortino need 30 days of data; Calmar, 90. Days with data: 5.

Monthly results

MonthNet%Trades
Oct 2026−31.30−0.10 %7

Return distribution

Daily
1 day between −0.8 % and −0.7 %1 day between −0.4 % and −0.3 %1 day between −0.2 % and −0.1 %1 day between +1.1 % and +1.2 %10Days with trades−0.8 %0 %+1.2 %Daily return

Worst day: −0.7 %. Best day: +1.1 %. Large gains are clearly bigger than large losses.

4 periods with trades · mean −0.02 % · deviation 0.81 %

Each bar counts how many days (or weeks) with closed trades ended in that band of return: left of the 0% line, in loss (red); right of it, in profit (green). Days without trades are left out. Hover a bar for the detail.

Statistics

Trades

Trades
7
Winning trades
3
Win rate
42.9 %
Losing trades
4
Loss rate
57.1 %
Average win
+128.69
Average loss
−104.34
Lots traded
3.10
Average lots per trade
0.44

Result

Net profit
−31.30
Gross profit
+386.07
Gross loss
−417.37
Profit factor
0.93
Expectancy (average per trade)
−4.47
Payoff (average win / average loss)
1.23
Best trade
+232.36
Worst trade
−122.70
Maximum drawdown (valley)
−390.09

Pips

Net pips
+187.5
Pips of winning trades
+268.1
Pips of losing trades
−80.6
Pip profit factor
3.33
Average pips per trade
+26.79
Average pips of winners
+89.37
Average pips of losers
−20.15
Maximum drawdown in pips (valley)
−74.4

MAE/MFE

Average MAE (pips against)
−17.9
Average MFE (pips in favour)
+49.3
MFE capture on winners
60.8 %
Trades with MAE/MFE data
100.0 %

Duration

Average trade length
5.9 h
Average winner length
6.3 h
Average loser length
5.5 h
Longest trade
12.0 h
Shortest trade
1.0 h

Streaks

Maximum consecutive wins
2
Maximum consecutive losses
3
Largest profit in a winning streak
+358.79
Largest loss in a losing streak
−306.24
Pips of the best winning streak
+261.9
Pips of the worst losing streak
−59.1

Activity

Last trade
3 days ago

Pips: FX with 3 or 5 digits, 1 pip = 10 points; gold, 0.1; indices and the rest, 1 point. Win and loss pips are split by their own sign: they measure price movement for or against, before costs. Money statistics (winners, losers, streaks) follow the net result with swap and commission. Comparing the pip PF with the money PF shows how much costs take. MAE: the furthest a trade went against; MFE: the furthest it went in favour; MFE capture: how much of that favourable move it kept at the close.

Streaks follow the close order. Maximum drawdown (valley) is the largest fall of the cumulative result from its previous peak.

Account Monte Carlo cone

The account is at the 25.2 percentile: 25.2% of the simulations ended worse.

50−410/19/202610/19/202610/19/2026
Real 5–95% band Median Outside the band

Band: where 90% of the backtest simulations ended over the same weeks as the real trading. Dashed line: the median. Unit R: each trade is its price move in % divided by the average loss of its EA's backtest. This adds up different instruments and eras, and every EA weighs the same.

Method: 5,000 simulations resampling 4-week blocks of their backtests' shared history (3.5 years), with the trades of all the EAs in those same weeks (keeps the correlation between EAs and the streaks) and at each EA's real pace. Calibration: over that history, normal 1-week windows end below the band 5.5% of the time (5% expected).

EAs included (3): 1001, 1002, 1003. With 7 real trades the result is only indicative.

Requirements: a backtest of 100 trades or more, with prices and 3 years of history shared with the rest. Without an EA filter, EAs marked as “Stopped” do not count.