- Equity
- Drawdown
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
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.
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.