Swing Module AOT

Thi Ngoc Tram Le
Thi Ngoc Tram Le
你好,我是Le——来自越南的专业算法交易员。

我设计和开发先进的交易策略,将它们转化为MetaTrader 5的强大算法机器人。
我的热情在于将市场洞察与技术相结合,创建精确且稳定的自动化交易系统。
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7
0 / 0 USD
增长自 2026 -37%

订阅信号杠杆不允许超过1:500

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  • 净值
  • 提取
交易:
250
盈利交易:
101 (40.40%)
亏损交易:
149 (59.60%)
最好交易:
187.61 USD
最差交易:
-253.35 USD
毛利:
2 507.78 USD (1 568 218 pips)
毛利亏损:
-4 381.38 USD (2 132 685 pips)
最大连续赢利:
12 (248.37 USD)
最大连续盈利:
354.63 USD (7)
夏普比率:
-0.15
交易活动:
100.00%
最大入金加载:
118.38%
最近交易:
1 几小时前
每周交易:
71
平均持有时间:
4 天
采收率:
-0.83
长期交易:
250 (100.00%)
短期交易:
0 (0.00%)
利润因子:
0.57
预期回报:
-7.49 USD
平均利润:
24.83 USD
平均损失:
-29.41 USD
最大连续失误:
12 (-405.15 USD)
最大连续亏损:
-522.52 USD (11)
每月增长:
-17.92%
算法交易:
100%
结余跌幅:
绝对:
2 263.02 USD
最大值:
2 263.02 USD (45.26%)
相对跌幅:
结余:
45.39% (2 273.58 USD)
净值:
6.20% (266.53 USD)

分配

交易品种 交易 Sell Buy
JP225 12
US500 12
USTEC 12
DE40 10
US30 10
GBPJPY 10
TSM.NYSE-24 9
USDJPY 9
XAUUSD 8
XTIUSD 8
AMZN.NAS 6
BTCUSD 6
ASML.NAS 6
XAGUSD 6
GOOG.NAS 5
BAC.NYSE 5
ZM.NAS 5
GS.NYSE 5
C.NYSE 5
AAPL.NAS 4
BABA.NYSE 4
MSFT.NAS 4
SPG.NYSE 4
ETN.NYSE 4
AMD.NAS 4
CAT.NYSE 4
FDX.NYSE 4
TSLA.NAS 4
ETHUSD 4
AVGO.NAS 4
MU.NAS 4
MAR.NAS 3
PSA.NYSE 3
JPM.NYSE 3
NVDA.NAS 3
PLD.NYSE 3
CP.NYSE 3
MA.NYSE 3
INTC.NAS 3
SE.NYSE 3
PM.NYSE 3
BLK.NYSE 3
MELI.NAS 2
AZO.NYSE 2
RCL.NYSE 2
BA.NYSE 2
CVNA.NYSE 2
HMC.NYSE 2
IRM.NYSE 2
NFLX.NAS 2
PH.NYSE 1
GM.NYSE 1
SBAC.NAS 1
TM.NYSE 1
5 10 15 20
5 10 15 20
5 10 15 20
交易品种 毛利, USD 损失, USD 利润, USD
JP225 -57
US500 7
USTEC 62
DE40 30
US30 38
GBPJPY -43
TSM.NYSE-24 72
USDJPY 9
XAUUSD -388
XTIUSD -528
AMZN.NAS -36
BTCUSD -17
ASML.NAS -52
XAGUSD 45
GOOG.NAS 21
BAC.NYSE -26
ZM.NAS 32
GS.NYSE -82
C.NYSE -101
AAPL.NAS -2
BABA.NYSE -101
MSFT.NAS -30
SPG.NYSE -106
ETN.NYSE -189
AMD.NAS 92
CAT.NYSE -74
FDX.NYSE -60
TSLA.NAS 36
ETHUSD -53
AVGO.NAS -62
MU.NAS 151
MAR.NAS -16
PSA.NYSE -67
JPM.NYSE -17
NVDA.NAS 55
PLD.NYSE -2
CP.NYSE 1
MA.NYSE -108
INTC.NAS 41
SE.NYSE 15
PM.NYSE -21
BLK.NYSE -21
MELI.NAS -23
AZO.NYSE -71
RCL.NYSE -29
BA.NYSE -55
CVNA.NYSE 4
HMC.NYSE 23
IRM.NYSE -39
NFLX.NAS -27
PH.NYSE -47
GM.NYSE 40
SBAC.NAS -10
TM.NYSE -87
250 500 750 1K 1.3K 1.5K 1.8K 2K
250 500 750 1K 1.3K 1.5K 1.8K 2K
250 500 750 1K 1.3K 1.5K 1.8K 2K
交易品种 毛利, pips 损失, pips 利润, pips
JP225 -75K
US500 16K
USTEC 75K
DE40 33K
US30 62K
GBPJPY -1.7K
TSM.NYSE-24 2.8K
USDJPY 146
XAUUSD -39K
XTIUSD -1.1K
AMZN.NAS -12K
BTCUSD -129K
ASML.NAS -60K
XAGUSD 4.6K
GOOG.NAS 445
BAC.NYSE -1.6K
ZM.NAS 3.7K
GS.NYSE -4.8K
C.NYSE -8.5K
AAPL.NAS 8.9K
BABA.NYSE -2.6K
MSFT.NAS -2.2K
SPG.NYSE -9.3K
ETN.NYSE -83K
AMD.NAS 66K
CAT.NYSE -54K
FDX.NYSE -5.4K
TSLA.NAS 4.1K
ETHUSD -19K
AVGO.NAS -35K
MU.NAS 26K
MAR.NAS 130
PSA.NYSE -11K
JPM.NYSE -647
NVDA.NAS 1.8K
PLD.NYSE 1K
CP.NYSE 551
MA.NYSE -4.1K
INTC.NAS 956
SE.NYSE 490
PM.NYSE -519
BLK.NYSE -18K
MELI.NAS -3.8K
AZO.NYSE -239K
RCL.NYSE -5.4K
BA.NYSE -13K
CVNA.NYSE 2.6K
HMC.NYSE 1.2K
IRM.NYSE -4.7K
NFLX.NAS -520
PH.NYSE -35K
GM.NYSE 2.8K
SBAC.NAS -143
TM.NYSE -962
200K 400K 600K 800K
200K 400K 600K 800K
200K 400K 600K 800K
  • 入金加载
  • 提取
最好交易: +187.61 USD
最差交易: -253 USD
最大连续赢利: 7
最大连续失误: 11
最大连续盈利: +248.37 USD
最大连续亏损: -405.15 USD

基于有关不同交易商真实账户的执行统计的平均滑移点按点数指定。它取决于 ICMarketsSC-MT5-6 提供商以及订阅者之间不同的报价,以及订单执行的延迟。值越低意味着复制的质量越高。

RoboForex-Pro
0.00 × 1
Exness-MT5Real39
0.00 × 3
ICMarketsSC-MT5-2
0.00 × 2
ICMarketsSC-MT5-6
1.07 × 151
TradeMaxGlobal-Live
6.00 × 1
FusionMarkets-Live
8.00 × 44
ICMarketsEU-MT5-5
10.32 × 286
FPMarkets-Live2
14.00 × 1
ICMarketsSC-MT5-4
18.76 × 21
Exness-MT5Real7
26.13 × 153
DooTechnology-Live
29.20 × 2061
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This swing‑module strategy is not widely familiar to most traders. It often requires patience—sometimes months or even years—to see results.
However, it has been our core trading style for many years.



Information:

Each trade risks only 0.5% to 1% of capital.

The AoT Swing Module follows a Trend Following approach. This strategy is based on fat‑tail statistical theory, which recognizes that markets occasionally produce large, outsized moves far more frequently than a normal distribution would suggest. The bot is designed to capture these rare but significant trends.

What this means for your trades:

  • Trend following strategies typically have a lower win rate.

  • Losses are frequent but small.

  • R:R > 1

  • The edge comes from the size of the wins, not their frequency.


没有评论
2026.04.28 12:05
Removed warning: The number of deals on the account is too small to evaluate trading
2026.04.21 18:04
Removed warning: Low trading activity - not enough trades detected during the last month
2026.04.19 22:44
Share of trading days is too low
2026.04.19 22:44
Share of days for 80% of trades is too low
2026.04.17 16:08
Trading operations on the account were performed for only 0 days. This comprises 0% of days out of the 1 days of the signal's entire lifetime.
2026.04.17 16:08
80% of trades performed within 0 days. This comprises 0% of days out of the 1 days of the signal's entire lifetime.
2026.04.17 16:08
Low trading activity - only 0 trades detected in the last month
2026.04.17 16:08
This is a newly opened account, and the trading results may be of random nature
2026.04.17 16:08
The number of deals on the account is too small to evaluate trading quality
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