AlphaTradeMaster

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9
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增长自 2025 -1%
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  • 净值
  • 提取
交易:
45
盈利交易:
17 (37.77%)
亏损交易:
28 (62.22%)
最好交易:
8.21 EUR
最差交易:
-6.08 EUR
毛利:
73.38 EUR (12 608 pips)
毛利亏损:
-77.37 EUR (13 197 pips)
最大连续赢利:
5 (17.25 EUR)
最大连续盈利:
21.50 EUR (4)
夏普比率:
-0.02
交易活动:
62.14%
最大入金加载:
14.78%
最近交易:
8 几小时前
每周交易:
6
平均持有时间:
1 一天
采收率:
-0.16
长期交易:
38 (84.44%)
短期交易:
7 (15.56%)
利润因子:
0.95
预期回报:
-0.09 EUR
平均利润:
4.32 EUR
平均损失:
-2.76 EUR
最大连续失误:
5 (-15.63 EUR)
最大连续亏损:
-15.63 EUR (5)
每月增长:
2.25%
算法交易:
95%
结余跌幅:
绝对:
21.52 EUR
最大值:
24.37 EUR (4.93%)
相对跌幅:
结余:
4.93% (24.37 EUR)
净值:
1.39% (6.76 EUR)

分配

交易品种 交易 Sell Buy
USDJPY 15
EURJPY 10
GBPJPY 9
GBPUSD 6
AUDJPY 5
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
USDJPY 11
EURJPY 4
GBPJPY -15
GBPUSD -6
AUDJPY 2
10 20 30 40 50 60
10 20 30 40 50 60
10 20 30 40 50 60
交易品种 毛利, pips 损失, pips 利润, pips
USDJPY 1.6K
EURJPY 591
GBPJPY -2.4K
GBPUSD -540
AUDJPY 231
2K 4K 6K 8K
2K 4K 6K 8K
2K 4K 6K 8K
  • 入金加载
  • 提取
最好交易: +8.21 EUR
最差交易: -6 EUR
最大连续赢利: 4
最大连续失误: 5
最大连续盈利: +17.25 EUR
最大连续亏损: -15.63 EUR

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 RoboForex-Pro 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。

FPMarketsLLC-Live
0.00 × 1
VantageInternational-Live 6
0.00 × 16
PhillipNova-Server
0.00 × 2
SCFMLimited-Live2
0.00 × 23
PlexyTrade-Server01
0.00 × 4
VantageInternational-Live 3
0.00 × 7
xChief-MT5
0.00 × 1
CudraniaCapital-Real
0.00 × 1
STMarket-Live
0.00 × 4
DerivSVG-Server
0.00 × 14
ICTrading-MT5-4
0.00 × 514
BeirmanCapital-Server
0.00 × 1
Deriv-Server-02
0.00 × 1
ICMarkets-MT5-2
0.00 × 84
XMAU-MT5
0.00 × 1
HedgeHood-MT5
0.00 × 75
OnePrime-Live01
0.00 × 1
SolidECN-Server
0.00 × 8
EverestCM-Live
0.00 × 16
ImperialMarkets-Live
0.00 × 2
FinexBisnisSolusi-Real
0.00 × 135
ACYSecurities-Live
0.00 × 35
Tradestone-Real
0.00 × 10
Exness-MT5Real17
0.00 × 4
Exness-MT5Real29
0.00 × 7
181 更多...
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Donchian-Breakout

Overview

This algorithmic trading strategy is a price action-based breakout system using Donchian Channels to define key high/low breakout levels. The system is built and validated using over 30 years of historical Forex data, specifically designed for the H1 timeframe. Robustness is ensured through rigorous multi-layer validation, including Out-of-Sample (OOS) testing, Monte Carlo simulations, Holdout testing, and Walk Forward Analysis.


Automated Strategy Generation (Randomized, Not Genetic)

Unlike strategies developed through genetic or evolutionary algorithms, this system is constructed using a fully randomized logic generation process:

  • Entry/exit rules, signal filters, and conditions are randomly combined within predefined structural boundaries

  • This approach avoids overfitting commonly seen in genetic algorithms and allows for greater logic diversity

  • Only strategies that pass extensive robustness filters and perform well across multiple symbols are retained

Each week, over 100 million randomized strategies are generated and tested on a selected Forex pair.
During the build phase, each candidate strategy is also validated on 9 additional Forex symbols to ensure cross-market reliability and eliminate symbol-specific curve fitting.


Breakout Entry Logic via Donchian Channels

The strategy identifies breakout levels based on Donchian Channels, which track the highest high and lowest low over a specified number of bars:

  • A Buy Stop is placed slightly above the Donchian Upper Band

  • A Sell Stop is placed slightly below the Donchian Lower Band

  • An ATR-based pip buffer is added to both directions to reduce false triggers due to short-term volatility

The Donchian period (e.g. 20–80 bars) is dynamically selected during strategy generation and lightly optimized within constrained ranges.


Entry Conditions: EMA Filter

To improve breakout quality and filter out noise, the strategy requires an EMA-Filter to be valid before any Stop Order is placed.


Risk Management & Trade Protection

Every trade is executed with strict risk controls, including:

  • Stop Loss (SL) and Take Profit (TP) — often dynamically based on ATR or Donchian range

  • Trailing Stop or Break-Even logic (with buffer) to protect profits

  • Automatic Friday Close to avoid weekend gaps and exposure

Optional risk features:

  • Time-of-day filters

  • Trade frequency caps

  • Maximum open trades

  • Session-based filters


Robustness & Validation Process

To ensure high confidence and long-term stability, each strategy passes through extensive testing procedures:

  • Out-of-Sample (OOS) validation on 30–40% of data

  • Monte Carlo simulations (random order delay, slippage variation, data shuffling)

  • Walk Forward Optimization and Validation

  • Cross-Market Testing during the build phase (on 9 additional Forex symbols)

  • Timeframe robustness checks (for generalization across market types)


Execution Parameters

  • Timeframe: H1 (Hourly)

  • Markets: Up to 10 Forex Major and Minor Pairs (still in Building Phase)

  • Entry Type: Stop Orders at Donchian Channel breakouts with ATR-based pip buffer

  • Execution: Fully automated mit MT4 VPS

  • Strategy Logic: Randomly generated logic blocks under strict robustness and structure constraints



没有评论
2025.11.28 19:40
Removed warning: The number of deals on the account is too small to evaluate trading
2025.11.21 16:23
Share of days for 80% of growth is too low
2025.11.20 05:49
80% of growth achieved within 1 days. This comprises 2.86% of days out of 35 days of the signal's entire lifetime.
2025.10.30 14:57
Removed warning: Low trading activity - not enough trades detected during the last month
2025.10.30 13:57
Removed warning: Low trading activity - not enough trades detected during the last month
2025.10.17 12:31
Share of trading days is too low
2025.10.17 12:31
Share of days for 80% of trades is too low
2025.10.17 11:31
Share of trading days is too low
2025.10.17 11:31
Share of days for 80% of trades is too low
2025.10.13 08:24
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.
2025.10.13 08:24
80% of trades performed within 0 days. This comprises 0% of days out of the 1 days of the signal's entire lifetime.
2025.10.13 08:24
Low trading activity - only 0 trades detected in the last month
2025.10.13 08:24
This is a newly opened account, and the trading results may be of random nature
2025.10.13 08:24
The number of deals on the account is too small to evaluate trading quality
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信号
价格
成长
订阅者
资金
结余
EA交易
交易
赢%
活动
PF
预期回报
提取
杠杆
每月30 USD
-1%
0
0
USD
487
EUR
9
95%
45
37%
62%
0.94
-0.09
EUR
5%
1:50
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