Rocket Sloth
0 reviews
Reliability
3 weeks
0 / 0 USD
growth since 2025 9%
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  • Equity
  • Drawdown
Trades:
116
Profit Trades:
81 (69.82%)
Loss Trades:
35 (30.17%)
Best trade:
12.49 USD
Worst trade:
-10.38 USD
Gross Profit:
209.45 USD (29 368 pips)
Gross Loss:
-39.03 USD (4 802 pips)
Maximum consecutive wins:
12 (24.05 USD)
Maximal consecutive profit:
33.36 USD (6)
Sharpe Ratio:
0.53
Trading activity:
82.01%
Max deposit load:
2.24%
Latest trade:
21 minutes ago
Trades per week:
71
Avg holding time:
1 day
Recovery Factor:
16.42
Long Trades:
66 (56.90%)
Short Trades:
50 (43.10%)
Profit Factor:
5.37
Expected Payoff:
1.47 USD
Average Profit:
2.59 USD
Average Loss:
-1.12 USD
Maximum consecutive losses:
4 (-0.67 USD)
Maximal consecutive loss:
-10.38 USD (1)
Monthly growth:
8.52%
Algo trading:
100%
Drawdown by balance:
Absolute:
0.00 USD
Maximal:
10.38 USD (0.49%)
Relative drawdown:
By Balance:
0.49% (10.38 USD)
By Equity:
7.52% (156.56 USD)

Distribution

Symbol Deals Sell Buy
GBPJPY 27
NZDUSD 17
EURUSD 14
EURNZD 12
EURAUD 12
AUDCAD 8
GBPAUD 8
GBPNZD 7
AUDUSD 4
GBPUSD 4
GBPCHF 2
USDCHF 1
5 10 15 20 25 30
5 10 15 20 25 30
5 10 15 20 25 30
Symbol Gross Profit, USD Loss, USD Profit, USD
GBPJPY 38
NZDUSD 14
EURUSD 18
EURNZD 21
EURAUD 42
AUDCAD 0
GBPAUD 19
GBPNZD 10
AUDUSD -1
GBPUSD 4
GBPCHF 5
USDCHF 0
20 40 60
20 40 60
20 40 60
Symbol Gross Profit, pips Loss, pips Profit, pips
GBPJPY 6.3K
NZDUSD 1.4K
EURUSD 1.8K
EURNZD 3.5K
EURAUD 6.5K
AUDCAD -59
GBPAUD 2.9K
GBPNZD 1.7K
AUDUSD -65
GBPUSD 422
GBPCHF 235
USDCHF -21
2K 4K 6K 8K 10K
2K 4K 6K 8K 10K
2K 4K 6K 8K 10K
  • Deposit load
  • Drawdown
Best trade: +12.49 USD
Worst trade: -10 USD
Maximum consecutive wins: 6
Maximum consecutive losses: 1
Maximal consecutive profit: +24.05 USD
Maximal consecutive loss: -0.67 USD

The average slippage based on execution statistics on real accounts of various brokers is specified in pips. It depends on the difference between the provider's quotes from "ICMarketsSC-Live25" and the subscriber's quotes, as well as on order execution delays. Lower values mean better quality of copying.

ICMarketsSC-Live33
0.00 × 1
Exness-Real3
0.00 × 1
ICMarketsSC-Live17
0.00 × 1
ICMarketsSC-Live32
0.17 × 12
ICMarketsSC-Live19
0.33 × 18
VantageFXInternational-Live 2
0.38 × 8
ICMarketsSC-Live24
0.43 × 23
ForexClub-MT4 Market Real 4 Server
0.50 × 8
Exness-Real17
0.64 × 22
ICMarketsEU-Live17
0.67 × 9
ICMarketsSC-Live16
0.67 × 585
ICMarketsSC-Live22
0.70 × 145
ICMarkets-Live22
0.73 × 226
ICMarketsSC-Live05
0.77 × 65
ICMarketsSC-Live25
0.80 × 3969
EGMSecurities-Live
0.82 × 214
ICMarketsSC-Live18
0.87 × 315
Tickmill-Live09
0.92 × 38
ICMarketsSC-Live09
0.93 × 423
ICMarketsSC-Live26
0.94 × 721
ICMarketsSC-Live23
0.94 × 11199
FPMarkets-Live
1.00 × 3
ICMarketsSC-Live10
1.15 × 657
VantageInternational-Live 14
1.17 × 6
ICMarketsSC-Live27
1.20 × 441
80 more...
To see trades in realtime, please log in or register

My CFD trading algorithm has been live for over three years, showing consistent performance with controlled drawdowns. It's a multi-currency system, actively managing 8–11 currency pairs selected based on volatility, macro trends, and pair dynamics. The strategy emphasizes capital preservation over aggressive forecasting, with floating loss treated as a critical health metric—not a byproduct.

At its core is a three-layer hedging framework: correlation hedging across pairs, volatility hedging for expansion/compression phases, and intra-pair long/short directional hedging. These layers work together to maintain market neutrality when needed, buffering against shocks and directional bias. The system avoids martingale tactics and instead uses intelligent, structured hedging aligned with real-time market behavior.

Risk controls are deeply embedded. The algorithm continuously monitors trades, deploying successor orders and defensive layers when necessary. In chaotic conditions, it issues context-based hard stop-losses—not as a sign of failure, but as a deliberate capital-preservation measure. This removes emotion from decision-making and ensures strategic consistency.

To measure performance, I created a proprietary Capital Efficiency Ratio (CER): monthly return divided by average floating loss. A high CER reflects not just profitability, but efficiency in risk deployment and capital use.

The algorithm has proven resilient during major market crises since 2020, including COVID-19, Brexit volatility, the Russia–Ukraine war, JPY depreciation, and trade wars. Through all phases—calm or chaotic, trending or range-bound—it has remained disciplined, adaptable, and focused on long-term sustainability.

No reviews
2025.05.21 14:53
Removed warning: The number of deals on the account is too small to evaluate trading
2025.05.20 06:32
Removed warning: Low trading activity - not enough trades detected during the last month
2025.05.20 05:32
Removed warning: Low trading activity - not enough trades detected during the last month
2025.05.16 05:53
Share of trading days is too low
2025.05.16 05:53
Share of days for 80% of trades is too low
2025.05.16 04:48
Share of trading days is too low
2025.05.16 04:48
Share of days for 80% of trades is too low
2025.05.15 04:01
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.
2025.05.15 04:01
80% of trades performed within 0 days. This comprises 0% of days out of the 1 days of the signal's entire lifetime.
2025.05.15 04:01
Low trading activity - only 0 trades detected in the last month
2025.05.15 04:01
This is a newly opened account, and the trading results may be of random nature
2025.05.15 04:01
The number of deals on the account is too small to evaluate trading quality
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Signal
Price
Growth
Subscribers
Funds
Balance
Weeks
Expert Advisors
Trades
Win %
Activity
PF
Expected Payoff
Drawdown
Leverage
30 USD per month
9%
0
0
USD
2.2K
USD
3
100%
116
69%
82%
5.36
1.47
USD
8%
1:500
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