BlueCore DAX

Lukasz Kaczmarczyk
Lukasz Kaczmarczyk
Professional discretionary trader focused on structured capital allocation and disciplined risk management.
0 reviews
Reliability
1 week
0 / 0 USD
growth since 2026 0%
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  • Equity
  • Drawdown
Trades:
21
Profit Trades:
14 (66.66%)
Loss Trades:
7 (33.33%)
Best trade:
31.11 USD
Worst trade:
-23.07 USD
Gross Profit:
171.93 USD (10 618 pips)
Gross Loss:
-78.68 USD (4 017 pips)
Maximum consecutive wins:
9 (105.94 USD)
Maximal consecutive profit:
105.94 USD (9)
Sharpe Ratio:
0.34
Trading activity:
91.78%
Max deposit load:
3.70%
Latest trade:
14 hours ago
Trades per week:
21
Avg holding time:
15 hours
Recovery Factor:
1.89
Long Trades:
1 (4.76%)
Short Trades:
20 (95.24%)
Profit Factor:
2.19
Expected Payoff:
4.44 USD
Average Profit:
12.28 USD
Average Loss:
-11.24 USD
Maximum consecutive losses:
3 (-42.12 USD)
Maximal consecutive loss:
-42.12 USD (3)
Monthly growth:
0.09%
Algo trading:
4%
Drawdown by balance:
Absolute:
46.94 USD
Maximal:
49.44 USD (0.05%)
Relative drawdown:
By Balance:
0.00% (0.24 USD)
By Equity:
0.28% (282.89 USD)

Distribution

Symbol Deals Sell Buy
GDAXI 21
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
GDAXI 93
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
Symbol Gross Profit, pips Loss, pips Profit, pips
GDAXI 6.6K
2.5K 5K 7.5K 10K 13K 15K 18K 20K
2.5K 5K 7.5K 10K 13K 15K 18K 20K
2.5K 5K 7.5K 10K 13K 15K 18K 20K
  • Deposit load
  • Drawdown
Best trade: +31.11 USD
Worst trade: -23 USD
Maximum consecutive wins: 9
Maximum consecutive losses: 3
Maximal consecutive profit: +105.94 USD
Maximal consecutive loss: -42.12 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 "Darwinex-Live" and the subscriber's quotes, as well as on order execution delays. Lower values mean better quality of copying.

Darwinex-Live
4.39 × 727
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BlueCore DAX is a discretionary trading strategy focused exclusively on the German DAX index — one of the most liquid and institutionally traded equity indices in Europe.

The strategy combines two complementary execution approaches:

• controlled DCA position management
• short-term directional trades with predefined stop-loss protection and asymmetric risk-to-reward positioning

The objective of the strategy is to achieve stable long-term capital growth while maintaining disciplined exposure control and structured risk management.

Unlike aggressive speculative systems, BlueCore DAX focuses on selective execution, controlled scaling, and capital preservation.

Market Universe

The strategy trades exclusively the DAX index.

The DAX was selected due to its:

• high liquidity
• deep derivatives market
• strong institutional participation
• efficient price discovery
• consistent intraday volatility structure

By specializing in a single market, the strategy prioritizes deep market familiarity and execution consistency over broad diversification.

Investment Process

BlueCore DAX follows a fully discretionary trading process.

All positions are opened and managed manually based on:

• market structure analysis
• liquidity behavior
• volatility conditions
• intraday and higher timeframe market context

The strategy does not use:

• automated execution systems
• martingale techniques
• high-frequency trading
• uncontrolled averaging systems

Execution decisions remain adaptive to changing market conditions rather than mechanically rule-based.

Position Management

The strategy utilizes two distinct trade management frameworks.

DCA Exposure Management

Selected positions may be managed using a structured DCA (Dollar Cost Averaging) methodology.

Additional entries can be deployed at predefined market zones to improve average positioning while maintaining controlled exposure limits.

This approach is designed to:

• reduce entry timing risk
• improve positioning flexibility
• manage volatility more efficiently

All scaling activity occurs within predefined exposure parameters.

Short-Term Directional Trades

In parallel, the strategy also executes short-term directional trades using predefined stop-loss protection and asymmetric reward targeting.

These trades are typically based on lower timeframe market structure and are generally closed within the same trading day.

The objective of these trades is to capture short-term market opportunities while maintaining disciplined downside control.

Trade Horizon

BlueCore DAX combines both short-term intraday execution and medium-term position management depending on market conditions.

Short-term directional trades are typically executed and closed intraday.

DCA-managed positions may remain open longer when market structure supports gradual position building and controlled exposure management.

Trade duration therefore varies dynamically based on:

• volatility conditions
• liquidity behavior
• market structure
• directional conviction

Capital Allocation

The recommended capital allocation is approximately aligned with the capital currently deployed by the strategy provider.

Maintaining proportional account sizing helps preserve execution consistency and intended exposure levels within copy-trading environments.

Subscribers using significantly different account sizes may experience variations in trade replication and exposure efficiency.

Users are encouraged to:

• maintain proportional risk allocation
• avoid excessive risk multipliers
• preserve exposure consistency relative to the provider

Execution Environment

The strategy is currently executed under Tickmill trading conditions.

Performance differences between accounts may occur due to:

• spreads
• slippage
• execution speed
• broker infrastructure
• liquidity conditions

Subscribers using alternative brokers may therefore experience small pricing deviations.

Leverage Framework

BlueCore DAX utilizes conservative exposure management relative to available account equity.

Broker leverage should be treated primarily as a margin efficiency tool rather than a mechanism for excessive position sizing.

Increasing exposure beyond proportional scaling materially changes the intended risk profile of the strategy.

Risk Management

Risk management is based on:

• controlled portfolio exposure
• predefined downside protection on selected trades
• disciplined capital allocation
• continuous market reassessment

The strategy deliberately avoids:

• uncontrolled leverage escalation
• aggressive compounding
• high-risk recovery systems
• unbounded grid expansion

The long-term objective is sustainable equity growth with controlled drawdown characteristics.

Monitoring

Markets are monitored daily, and all trading decisions remain discretionary.

This flexible framework allows the strategy to adapt dynamically to changing market conditions while maintaining strict adherence to exposure management principles.

Risk Disclosure

Trading financial markets involves substantial risk and may not be suitable for all investors.

Past performance does not guarantee future results.

While the strategy prioritizes disciplined risk management and controlled exposure, periods of drawdown may occur due to normal market volatility.

Subscribers should fully understand the mechanics of leveraged trading, copy trading, and proportional exposure before allocating capital.


No reviews
2026.05.26 08:21
Removed warning: Low trading activity - not enough trades detected during the last month
2026.05.25 08:46
Share of trading days is too low
2026.05.25 08:46
Share of days for 80% of trades is too low
2026.05.25 07:44
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.
2026.05.25 07:44
80% of trades performed within 0 days. This comprises 0% of days out of the 1 days of the signal's entire lifetime.
2026.05.25 07:44
Low trading activity - only 0 trades detected in the last month
2026.05.25 07:44
This is a newly opened account, and the trading results may be of random nature
2026.05.25 07:44
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
0%
0
0
USD
100K
USD
1
4%
21
66%
92%
2.18
4.44
USD
0%
1:200
Copy