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Robust EA Funded Francisco
分配
| 交易品种 | 交易 | Sell | Buy | |
|---|---|---|---|---|
| XAUUSD | 12 | |||
| .USTECHCash | 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 | |
|---|---|---|---|---|
| XAUUSD | 206 | |||
| .USTECHCash | -8 | |||
|
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
|
| 交易品种 | 毛利, pips | 损失, pips | 利润, pips | |
|---|---|---|---|---|
| XAUUSD | 21K | |||
| .USTECHCash | -3.9K | |||
|
2.5K
5K
7.5K
10K
13K
15K
18K
20K
23K
25K
28K
30K
|
2.5K
5K
7.5K
10K
13K
15K
18K
20K
23K
25K
28K
30K
|
2.5K
5K
7.5K
10K
13K
15K
18K
20K
23K
25K
28K
30K
|
- 入金加载
- 提取
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-Prime 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。
|
ICMarketsSC-Live20
|
0.00 × 2 | |
|
Exness-Real26
|
0.00 × 10 | |
|
ICMarketsSC-Live23
|
0.00 × 1 | |
|
RoboMarketsLLC-ECN-2
|
0.50 × 10 | |
|
IronFXBM-Real10
|
0.53 × 345 | |
|
RoboForex-ECN-3
|
0.96 × 26 | |
|
Hankotrade-Live
|
1.40 × 5 | |
|
Alpari-Pro.ECN
|
1.53 × 17 | |
|
RoboForex-Prime
|
2.61 × 3275 | |
|
FXChoice-Pro Live
|
3.79 × 19 | |
|
CMCMarkets1-Europe
|
4.50 × 2 | |
|
RoboForex-Pro-2
|
4.67 × 12 | |
|
EightcapLtd-Real-4
|
5.60 × 5 | |
|
ICMarketsSC-Live32
|
6.63 × 8 | |
|
ICMarketsEU-Live17
|
6.69 × 16 | |
|
OctaFX-Real
|
7.69 × 52 | |
|
Tickmill-Live08
|
7.91 × 65 | |
|
RoboForex-Pro-5
|
8.76 × 255 | |
|
BlackBullMarkets-Live
|
9.10 × 87 | |
|
ICMarketsSC-Live12
|
9.78 × 291 | |
|
XMGlobal-Real 8
|
13.75 × 560 | |
|
XMGlobal-Real 18
|
14.88 × 1663 | |
|
Pepperstone-Edge12
|
16.00 × 1 | |
|
Just2Trade-Real
|
17.09 × 64 | |
|
XBTFX-Real
|
18.15 × 97 | |
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):
-
Exhaustive Backtesting - 10 years of historical data analyzed to identify significant statistical edges
-
Market-Specific Conditions - Strategies designed to adapt to real market dynamics
-
Robustness Testing - 15,000 Monte Carlo simulations evaluating market condition variations and spreads
-
Final Optimization - Fine-tuning for maximum operational efficiency
Key Features:
-
Automated trading ready for live accounts
-
Data-driven quantitative approach
-
Individual development (one-man team)
-
Intensive computational power utilization
-
Mathematically grounded risk management
Technology: Strategy Quant + Advanced Statistical Analysis