增长自 2024
-3%
交易:
7
盈利交易:
4 (57.14%)
亏损交易:
3 (42.86%)
最好交易:
112.14 USD
最差交易:
-172.05 USD
毛利:
237.13 USD
(184 424 pips)
毛利亏损:
-288.81 USD
(409 629 pips)
最大连续赢利:
1 (112.14 USD)
最大连续盈利:
112.14 USD (1)
夏普比率:
-0.06
交易活动:
77.14%
最大入金加载:
6.31%
最近交易:
25 几分钟前
每周交易:
7
平均持有时间:
2 天
采收率:
-0.22
长期交易:
3 (42.86%)
短期交易:
4 (57.14%)
利润因子:
0.82
预期回报:
-7.38 USD
平均利润:
59.28 USD
平均损失:
-96.27 USD
最大连续失误:
1 (-172.05 USD)
最大连续亏损:
-172.05 USD (1)
每月增长:
-2.58%
算法交易:
87%
结余跌幅:
绝对:
121.48 USD
最大值:
233.62 USD (11.06%)
相对跌幅:
结余:
11.06% (233.62 USD)
净值:
10.29% (215.99 USD)
分配
交易品种 | 交易 | Sell | Buy | |
---|---|---|---|---|
BTCUSD | 4 | |||
ETHUSD | 3 | |||
1
2
3
4
|
1
2
3
4
|
1
2
3
4
|
交易品种 | 毛利, USD | 损失, USD | 利润, USD | |
---|---|---|---|---|
BTCUSD | -12 | |||
ETHUSD | -39 | |||
50
100
150
200
250
300
350
400
|
50
100
150
200
250
300
350
400
|
50
100
150
200
250
300
350
400
|
交易品种 | 毛利, pips | 损失, pips | 利润, pips | |
---|---|---|---|---|
BTCUSD | -224K | |||
ETHUSD | -1.1K | |||
100K
200K
300K
400K
500K
600K
|
100K
200K
300K
400K
500K
600K
|
100K
200K
300K
400K
500K
600K
|
- 入金加载
- 提取
最好交易:
+112.14
USD
最差交易:
-172
USD
最大连续赢利:
1
最大连续失误:
1
最大连续盈利:
+112.14
USD
最大连续亏损:
-172.05
USD
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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