TbTrading Portfolio

Torbjoern Brenden
Torbjoern Brenden
QUANTITATIVE DEVELOPER & MQL5 SOFTWARE ENGINEER
M.Sc. Information Systems | Institutional Quality Algorithmic Trading
0 Bewertungen
1 Woche
0 / 0 USD
Wachstum seit 2026 10%
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  • Equity
  • Rückgang
Trades insgesamt:
7
Gewinntrades:
4 (57.14%)
Verlusttrades:
3 (42.86%)
Bester Trade:
103.94 USD
Schlechtester Trade:
-28.00 USD
Bruttoprofit:
150.55 USD (150 801 pips)
Bruttoverlust:
-53.10 USD (37 229 pips)
Max. aufeinandergehende Gewinne:
2 (134.04 USD)
Max. Gewinn aufeinanderfolgender Gewinntrades:
134.04 USD (2)
Sharpe Ratio:
0.34
Trading-Aktivität:
59.13%
Max deposit load:
12.77%
Letzter Trade:
2 Tage
Trades pro Woche:
7
Durchschn. Haltezeit:
12 Stunden
Erholungsfaktor:
2.66
Long-Positionen:
3 (42.86%)
Short-Positionen:
4 (57.14%)
Profit-Faktor:
2.84
Mathematische Gewinnerwartung:
13.92 USD
Durchschnittlicher Profit:
37.64 USD
Durchschnittlicher Verlust:
-17.70 USD
Max. aufeinandergehende Verluste:
2 (-25.02 USD)
Max. Verlust aufeinanderfolgender Verlusttrades:
-28.00 USD (1)
Wachstum pro Monat :
9.74%
Algo-Trading:
85%
Rückgang/Kontostand:
Absolut:
36.59 USD
Maximaler:
36.59 USD (3.66%)
Relativer Rückgang:
Kontostand:
3.66% (36.59 USD)
Kapital:
1.45% (15.50 USD)

Verteilung

Symbol Trades Sell Buy
USTEC 5
XAUUSD 2
1 2 3 4 5
1 2 3 4 5
1 2 3 4 5
Symbol Bruttoprofit, USD Loss, USD Profit, USD
USTEC 114
XAUUSD -17
25 50 75 100 125 150 175 200
25 50 75 100 125 150 175 200
25 50 75 100 125 150 175 200
Symbol Bruttoprofit, pips Loss, pips Profit, pips
USTEC 115K
XAUUSD -1.7K
25K 50K 75K 100K 125K 150K 175K 200K
25K 50K 75K 100K 125K 150K 175K 200K
25K 50K 75K 100K 125K 150K 175K 200K
  • Deposit load
  • Rückgang
Bester Trade: +103.94 USD
Schlechtester Trade: -28 USD
Max. aufeinandergehende Gewinne: 2
Max. aufeinandergehende Verluste: 1
Max. Gewinn aufeinanderfolgender Gewinntrades: +134.04 USD
Max. Verlust aufeinanderfolgender Verlusttrades: -25.02 USD

Der durchschnittliche Slippage anhand der Statistik der Ausführung auf echten Konten verschiedener Broker ist in Punkten angegeben. Er hängt von der Differenz zwischen den Währungskursen des Anbieters von "ICMarketsEU-MT5-5" und des Abonnenten sowie von Verzögerungen in der Ausführung von Orders ab. Je kleiner der Wert ist, desto besser ist die Qualität des Kopierens.

ICMarketsSC-MT5-4
0.00 × 2
VantageMarkets-Live 14
0.00 × 1
GOMarketsMU-Live
0.00 × 1
TickmillEU-Live
0.00 × 2
DerivSVG-Server
0.00 × 1
VantageMarkets-Live 4
0.00 × 1
Opogroup-Server1
0.00 × 1
ICMarketsSC-MT5-2
0.90 × 149
TNFX-Live
1.00 × 1
FBS-Real
1.00 × 1
ICMarketsSC-MT5-3
2.03 × 281
TradeMaxGlobal-Live
2.28 × 61
FusionMarkets-Live
2.55 × 99
ICMarketsEU-MT5-5
2.86 × 654
RoboForex-ECN
3.25 × 2071
KeyToMarkets-Server
3.56 × 27
Exness-MT5Real23
3.61 × 66
VantageMarkets-Live 3
4.00 × 34
Exness-MT5Real12
4.33 × 6
CapitalPointTrading-MT5-4
4.36 × 101
TitanFX-MT5-01
4.36 × 28
Exness-MT5Real33
5.13 × 70
Exness-MT5Real7
5.17 × 63
Exness-MT5Real43
5.25 × 12
VantageMarkets-Live 19
5.72 × 204
noch 27 ...
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TbTrading Live

This signal follows my personal live trading account and reflects my approach to systematic, rule-based trading.

Strategies and Approach

My strategy development explores session breakouts, momentum, trend continuation and recurring market patterns. Examples include London opening-range breakouts in gold, closing momentum in equity indices and structure-based setups in Bitcoin. The strategies and instruments traded on the signal account may change over time.

Each strategy is built around defined entry and exit rules. My aim is to combine approaches that complement one another while keeping overall exposure and margin requirements manageable.

Backtesting and Validation

Historical testing is an important part of my development process. I use MetaTrader 5 backtests to examine simulated trade execution, alongside Python-based analysis for further evaluation.

My research process includes multi-year backtesting, trading-cost analysis, out-of-sample checks and parameter sensitivity testing. I look beyond net profit to examine drawdowns, trade frequency and whether results depend too heavily on a particular market period or a narrow parameter choice.

These checks form part of an ongoing research process; they do not mean every strategy has passed every validation stage. Backtests help assess an idea, but they cannot guarantee future performance.

Trading Philosophy

I prefer clear rules and repeatable decisions. Before optimising a strategy, I try to understand where it fails and whether its assumptions remain realistic after spreads, execution costs and changing market conditions.

Capital efficiency also matters to me. I consider whether a strategy’s trading opportunities justify the margin and risk it uses. Combining strategies can help spread exposure, but correlations can rise and several strategies can lose at the same time.

The account history on this signal page shows actual live performance. Research results and historical simulations should be considered separately.

Watch My Trading Live

You can also watch my trading on YouTube when I am streaming. Follow the account in real time and see how my strategies operate in live market conditions.

Watch live trading on YouTube

For Subscribers

Your results may differ from mine due to broker conditions, spreads, slippage and copying settings. Before subscribing, review the account’s trading history, drawdown and open positions. Choose an allocation that suits your own risk tolerance.

Risk Disclosure

Trading involves the risk of losing capital. Losing trades and drawdowns are part of trading. Past performance, whether live or backtested, does not guarantee future results. No returns are promised or guaranteed.


Keine Bewertungen
2026.11.05 22:16
Low trading activity - only 6 trades detected in the last month
2026.11.05 22:16
This is a newly opened account, and the trading results may be of random nature
2026.11.05 22:16
The number of deals on the account is too small to evaluate trading quality
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Signal
Preis
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Wochen
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30 USD pro Monat
10%
0
0
USD
1.6K
USD
1
85%
7
57%
59%
2.83
13.92
USD
4%
1:30
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