crescita dal 2024
-5%
Per vedere i trade in tempo reale, nome utente o registrati
- Equità
- Drawdown
Trade:
13
Profit Trade:
6 (46.15%)
Loss Trade:
7 (53.85%)
Best Trade:
57.47 USD
Worst Trade:
-72.76 USD
Profitto lordo:
200.70 USD
(144 345 pips)
Perdita lorda:
-294.93 USD
(160 045 pips)
Vincite massime consecutive:
4 (147.32 USD)
Massimo profitto consecutivo:
147.32 USD (4)
Indice di Sharpe:
-0.17
Attività di trading:
60.75%
Massimo carico di deposito:
1.98%
Ultimo trade:
1 giorno fa
Trade a settimana:
6
Tempo di attesa medio:
16 ore
Fattore di recupero:
-0.39
Long Trade:
6 (46.15%)
Short Trade:
7 (53.85%)
Fattore di profitto:
0.68
Profitto previsto:
-7.25 USD
Profitto medio:
33.45 USD
Perdita media:
-42.13 USD
Massime perdite consecutive:
3 (-154.06 USD)
Massima perdita consecutiva:
-154.06 USD (3)
Crescita mensile:
-4.71%
Algo trading:
92%
Drawdown per saldo:
Assoluto:
94.23 USD
Massimale:
241.55 USD (11.25%)
Drawdown relativo:
Per saldo:
11.25% (241.55 USD)
Per equità:
3.61% (77.55 USD)
Distribuzione
Simbolo | Operazioni | Sell | Buy | |
---|---|---|---|---|
XAUUSD_i | 7 | |||
XAGUSD_i | 6 | |||
1
2
3
4
5
6
7
|
1
2
3
4
5
6
7
|
1
2
3
4
5
6
7
|
Simbolo | Profitto lordo, USD | Perdita, USD | Profitto, USD | |
---|---|---|---|---|
XAUUSD_i | -142 | |||
XAGUSD_i | 47 | |||
25
50
75
100
125
150
175
200
225
250
275
300
|
25
50
75
100
125
150
175
200
225
250
275
300
|
25
50
75
100
125
150
175
200
225
250
275
300
|
Simbolo | Profitto lordo, pips | Perdita, pips | Profitto, pips | |
---|---|---|---|---|
XAUUSD_i | -41K | |||
XAGUSD_i | 25K | |||
25K
50K
75K
100K
125K
150K
175K
200K
225K
250K
275K
300K
|
25K
50K
75K
100K
125K
150K
175K
200K
225K
250K
275K
300K
|
25K
50K
75K
100K
125K
150K
175K
200K
225K
250K
275K
300K
|
- Carico di deposito
- Drawdown
Best Trade:
+57.47
USD
Worst Trade:
-73
USD
Vincite massime consecutive:
4
Massime perdite consecutive:
3
Massimo profitto consecutivo:
+147.32
USD
Massima perdita consecutiva:
-154.06
USD
Lo slippage medio basato sulle statistiche di esecuzione sugli account reale dei vari broker è specificato in pip. Dipende dalla differenza tra le quotazioni del fornitore da "Weltrade-Real" e le quotazioni dell'abbonato, nonché dai ritardi nell'esecuzione dell'ordine. Valori più bassi indicano una migliore qualità di copiatura.
Nessun dato
This fully automated signal broadcasts the trading process of our innovative trading bot, which was created using neural network learning technology on large-scale market data. The built-in artificial intelligence mathematical model searches for the potential impulse of each subsequent market bar and uses the emerging divergence and convergence patterns between predictive indicators and price to form highly accurate reversal points for opening trading positions.
To solve the task of predicting the bar impulse, we used a Recurrent Neural Network (RNN) with a complex and modern architecture that combines an LSTM layer for analyzing dependencies in time series, BatchNormalization and Dropout for stabilizing learning and preventing overfitting, as well as fully connected layers for extracting higher-level features from the data. Training such a model enables it to capture complex temporal dependencies in historical trading instrument data and make predictions based on these dependencies.
The trading strategy incorporates an adaptive risk management system that dynamically adjusts to the current market volatility, structure, and conditions. It takes into account both short-term and long-term market trends to accurately assess risks at every stage of trading. Unlike many other strategies, our bot does not use position averaging, which allows for risk minimization in the event of unfavorable developments. A strict drawdown control ensures capital protection, effectively preventing significant losses even in force majeure situations, such as sudden market swings or unexpected economic events. This well-thought-out risk management system not only preserves but also grows capital under any market conditions.
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