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Robust EA Funded Francisco
配布
| シンボル | ディール | Sell | Buy | |
|---|---|---|---|---|
| XAUUSD | 62 | |||
| .USTECHCash | 31 | |||
| USDJPY | 22 | |||
|
20
40
60
|
20
40
60
|
20
40
60
|
| シンボル | 総利益, USD | Loss, USD | 利益, USD | |
|---|---|---|---|---|
| XAUUSD | 803 | |||
| .USTECHCash | -81 | |||
| USDJPY | 13 | |||
|
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
|
| シンボル | 総利益, pips | Loss, pips | 利益, pips | |
|---|---|---|---|---|
| XAUUSD | 82K | |||
| .USTECHCash | -17K | |||
| USDJPY | 1.4K | |||
|
25K
50K
75K
100K
125K
150K
175K
200K
|
25K
50K
75K
100K
125K
150K
175K
200K
|
25K
50K
75K
100K
125K
150K
175K
200K
|
- Deposit load
- ドローダウン
いろいろなブローカーのリアルアカウント上で実行統計に基づいたスリッページの平均は、いくつかの点で指定されています。それはオーダー実行の遅れに依るのと同様に、プロバイダーの"RoboForex-Prime"からの引用と購読者の引用の違いに依るものです。値がより低いことがコピーの品質がより良いことを意味しています。
|
ICMarkets-Live05
|
0.00 × 3 | |
|
Exness-Real26
|
0.00 × 10 | |
|
ICMarketsSC-Live23
|
0.00 × 1 | |
|
TickmillUK-Live03
|
0.14 × 7 | |
|
ICMarketsSC-Live25
|
0.17 × 29 | |
|
ICMarketsSC-Live20
|
0.50 × 6 | |
|
RoboMarketsLLC-ECN-2
|
0.50 × 10 | |
|
RoboForex-ECN-2
|
0.50 × 2 | |
|
IronFXBM-Real10
|
0.53 × 345 | |
|
Tickmill-Live04
|
0.60 × 344 | |
|
TMGM.TradeMax-Live7
|
0.64 × 22 | |
|
ICMarketsSC-Live04
|
0.75 × 4 | |
|
RoboForex-ECN-3
|
0.96 × 26 | |
|
AMarkets-Real
|
1.25 × 12 | |
|
ICMarkets-Live22
|
1.27 × 15 | |
|
Hankotrade-Live
|
1.40 × 5 | |
|
Alpari-Pro.ECN
|
1.69 × 29 | |
|
LiteFinance-Demo
|
2.00 × 1 | |
|
VantageInternational-Live 3
|
2.00 × 1 | |
|
CMCMarkets1-Europe
|
2.64 × 122 | |
|
RoboForex-Prime
|
2.67 × 3407 | |
|
ICMarketsSC-Live05
|
2.81 × 81 | |
|
ICMarketsSC-Live09
|
3.00 × 3 | |
|
LiteFinance-Classic.com
|
3.11 × 9 | |
|
FXChoice-Pro Live
|
3.23 × 31 | |
Any kind of spread, H1 market, 500usd min (No grid, No Martingale, All entrys with Stop Loss and Take Profit. Money managament with Trailing Stop)
As an Algo Trader, I have developed algorithmic trading strategies for Gold (XAU) and Nasdaq, with expansion plans to include currency pairs. My methodology combines rigorous statistical analysis with data mining.
Development Process (4 months of intensive work):
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Exhaustive Backtesting - 10 years of historical data analyzed to identify significant statistical edges
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Market-Specific Conditions - Strategies designed to adapt to real market dynamics
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Robustness Testing - 15,000 Monte Carlo simulations evaluating market condition variations and spreads
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Final Optimization - Fine-tuning for maximum operational efficiency
Key Features:
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Automated trading ready for live accounts
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Data-driven quantitative approach
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Individual development (one-man team)
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Intensive computational power utilization
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Mathematically grounded risk management
Technology: Strategy Quant + Advanced Statistical Analysis