- Equity
- Rückgang
Verteilung
Symbol | Trades | Sell | Buy | |
---|---|---|---|---|
GOLD | 57 | |||
10
20
30
40
50
60
|
10
20
30
40
50
60
|
10
20
30
40
50
60
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Symbol | Bruttoprofit, USD | Loss, USD | Profit, USD | |
---|---|---|---|---|
GOLD | 697 | |||
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
|
Symbol | Bruttoprofit, pips | Loss, pips | Profit, pips | |
---|---|---|---|---|
GOLD | 2K | |||
2.5K
5K
7.5K
10K
13K
15K
18K
20K
23K
25K
28K
30K
|
2.5K
5K
7.5K
10K
13K
15K
18K
20K
23K
25K
28K
30K
|
2.5K
5K
7.5K
10K
13K
15K
18K
20K
23K
25K
28K
30K
|
- Deposit load
- Rückgang
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 "XMGlobal-MT5 13" und des Abonnenten sowie von Verzögerungen in der Ausführung von Orders ab. Je kleiner der Wert ist, desto besser ist die Qualität des Kopierens.
Keine Angabe
ATFNet is an advanced deep learning model specifically crafted for long-term time series forecasting by seamlessly integrating time and frequency domain modules. Developed by Reza Yazdanfar, this innovative model introduces a unique weighting mechanism that adjusts weights according to periodicity, enhances the Discrete Fourier Transform, and employs a Complex-valued Spectrum Attention mechanism for identifying intricate relationships. ATFNet is designed to surpass existing methods in long-term time series forecasting by effectively addressing the challenge of mixed periodic properties in real-world time series data.
ATFNet, a model leveraging the Advanced Discrete Fourier Transform, offers significant benefits in Forex trading:
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In-Depth Time Series Analysis: ATFNet provides a more thorough analysis of time series data by accounting for the frequency characteristics of input data, leading to more accurate modeling and prediction of market trends.
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Enhanced Forecasting Precision: Utilizing the Advanced Discrete Fourier Transform, ATFNet improves the accuracy of market movement predictions, resulting in more efficient trading decisions.
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Versatility: ATFNet is adaptable to various tasks, including market movement forecasting, trend identification, and generating trading signals.
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Quicker Market Response: ATFNet's ability to quickly react to market changes allows traders to promptly address market fluctuations and maximize profits.
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Improved Noise Resistance: With enhanced resistance to noise in market data, ATFNet increases model stability under uncertain conditions, leading to more reliable forecasts.
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Multi-Strategy Capability: ATFNet supports simultaneous trading across multiple strategies, enabling traders to diversify their portfolios and boost profitability.
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Consistency in Backtesting and Live Trading: ATFNet ensures that backtesting results are aligned with real trading performance, helping traders evaluate strategy effectiveness and achieve better returns.