Transparent multi-strategy trading built around real execution.

Strategy Idea

The Open Range Breakout (ORB) strategy is based on the observation that markets often establish a price range during a defined time window. Once this range is broken, directional momentum frequently develops.

The system identifies this initial range and executes trades when price breaks above or below the defined levels, aiming to capture structured intraday movements rather than predicting market direction.

Markets Traded

The strategy is applied across several liquid markets including Nasdaq, Gold, USDJPY, GBPUSD and additional liquid instruments when suitable.

The system is adaptable and can be deployed across different assets depending on volatility and market conditions.

Entry Logic

The strategy defines a price range during a predefined session window. The high and low of this range form the breakout levels.

Trades are triggered when price exceeds these levels. Different entry variants can be used depending on market behavior.

• • Immediate breakout entry when price exceeds the range level
• • Confirmation entry after candle close outside the range
• • Inside bar filter, where trades are only triggered after price exits consolidation structures

These variations help reduce false breakouts and improve trade quality.

Exit Logic

The strategy focuses on controlled trade management rather than fixed profit predictions.

• • Time-based exits
• • Range-based profit targets
• • Opposite range levels
• • Risk-defined stop losses

No trades are normally held overnight in order to reduce gap risk and unexpected volatility exposure.

Risk Management

Risk management is a core part of the system design.

• • Defined stop-loss levels
• • Range-based position sizing
• • Portfolio-based risk allocation
• • Optional break-even logic
• • Optional trailing stop functionality

Trailing stop and break-even mechanisms are implemented but currently not used in live trading, as testing indicated that fixed exits provided more robust results for this strategy.

This reflects the general philosophy of only using features that demonstrate measurable benefits in testing and live trading.

Filters Used

• • Range size filter (minimum and maximum range conditions)
• • News filter (optional trading pause during major events)
• • Inside bar filter
• • Time filters
• • Optional trend filter

The trend filter is built into the system design but is currently not used in live deployment, as testing showed no consistent improvement across the traded assets.

Strategy Philosophy

The ORB strategy focuses on capturing structured market moves rather than predicting direction. The goal is to participate when markets transition from consolidation into movement phases.

• • Simplicity
• • Robust rules
• • Controlled exposure
• • Transparency
• • Only using features that prove their value in testing

Key Characteristics

• • No overnight exposure
• • Clear entry logic
• • Defined risk control
• • Multi-market application
• • Systematic execution

Notes

Like any breakout strategy, performance depends on market conditions. Periods of consolidation may produce smaller results, while strong directional phases typically provide better opportunities.

The strategy is continuously monitored and adjusted when necessary.

Strategy Idea

The Managed Grid Strategy is designed to operate in consolidating market environments where price oscillates within a defined range. The goal of the system is to systematically collect smaller profits during sideways market phases.

Unlike fully automated grid systems, this approach is actively monitored and managed to reduce structural risks typically associated with grid trading.

Markets Traded

The strategy is mainly applied to markets that show stable liquidity and predictable volatility behavior.

• • Indices
• • Oil
• • Selected Forex pairs
• • Other liquid markets during range conditions

Market selection depends strongly on current volatility structure and trend behavior.

Entry Logic

The system places grid orders within a defined price range. Depending on the configuration, the strategy can operate with buy orders only, sell orders only, or both directions.

Orders are typically placed at predefined distance intervals (grid spacing).

If price approaches the upper boundary of a range, sell positions may be opened at defined intervals. When price moves lower toward the next grid level, positions are closed for profit. The same logic applies in the opposite direction for buy setups.

This allows the system to systematically collect profits during sideways market phases.

Risk Considerations

Grid strategies inherently carry structural risks if price leaves the defined trading range. For this reason, this strategy is intentionally not operated as a fully autonomous system.

Instead, it is actively monitored and managed.

• • Active supervision
• • Manual intervention when necessary
• • Avoiding uncontrolled position accumulation
• • Use only in suitable market conditions

This reflects the philosophy that grid systems require experience and supervision rather than blind automation.

Active Management Approach

When price leaves the defined range, manual management decisions are applied.

• • Monitoring breakout behavior
• • Waiting for pullbacks after breakout attempts
• • Defining protective stop levels if a trend confirms
• • Allowing positions to continue if breakouts fail

This discretionary oversight is based on long-term market experience and aims to reduce structural grid risks.

Trend Usage Variant

A second use case of the strategy involves trading pullbacks within established trends.

If a strong trend is identified, for example through long-term moving averages such as the 200-period average, the grid may be used to accumulate positions in trend direction.

• • Moving average alignment
• • Break of previous swing highs
• • Volatility structure
• • Market structure analysis

In this configuration, the grid is used to scale into pullbacks rather than trade pure ranges.

Risk Management

Risk control is based on a combination of manual supervision, dynamic stop placement when needed, portfolio risk awareness and position sizing control.

Stop losses are not always predefined automatically but may be applied dynamically based on market behavior.

This flexible risk management reflects the discretionary component of the strategy.

Additional System Capabilities

• • Position scaling options
• • Adjustable take profit logic
• • Alternative grid spacing models
• • Automated stop placement options

These options exist within the system design, but the strategy emphasizes controlled deployment rather than maximum automation.

Strategy Philosophy

The Managed Grid Strategy is based on the understanding that grid systems can be effective tools when used selectively and responsibly, but can become dangerous when used without supervision.

• • Selective deployment
• • Active monitoring
• • Risk awareness
• • Experience-based management

The system is intentionally used as a managed strategy rather than a fully automated black-box approach.

Key Characteristics

• • Active supervision
• • Market-condition-dependent usage
• • Flexible configuration
• • Risk-aware deployment
• • Combination of systematic execution and discretionary management

Notes

This strategy is not intended as a fully passive system. It requires monitoring and is only deployed when market conditions are considered suitable.

This reflects a conservative approach focused on risk control rather than aggressive automation.

Strategy Idea

The Scalping Breakout Strategy focuses on capturing short-term momentum moves after price breaks significant local highs or lows.

The system identifies structurally relevant price levels based on recent market structure and places trades when these levels are exceeded. The objective is to capture fast directional moves while maintaining tightly controlled risk.

Markets Traded

The strategy is primarily applied in liquid Forex markets and has also shown strong applicability in Gold.

• • USDJPY
• • GBPUSD
• • EURUSD
• • Gold (XAUUSD)

The system currently operates mainly on the 1-hour timeframe, which has shown stable performance during testing.

Entry Logic

The system identifies local highs and lows based on configurable structural criteria. This includes defining how many candles must form before and after a price level for it to qualify as a valid swing point.

• • Buy orders are placed slightly above significant highs
• • Sell orders are placed slightly below significant lows

This allows the strategy to enter trades when price shows signs of continuation beyond established market structure.

Trade Development Logic

After entry, the system allows some initial room for price movement, recognizing that breakouts often include short pullbacks before continuation.

• • The trade is allowed controlled breathing room
• • No premature exit is triggered
• • Risk remains predefined

This helps avoid early exits caused by normal market noise.

Risk Management

Risk is controlled through structured stop placement and dynamic trade management.

• • Defined initial stop-loss
• • Risk-based position sizing
• • Portfolio-based exposure control

Position sizing can be calculated based on stop distance and account size, allowing consistent risk allocation across trades.

Trade Management

Once a trade moves into profit, the system may activate trailing stop mechanisms to protect gains.

• • Trailing stop functionality
• • Break-even protection logic
• • Progressive risk reduction after profit thresholds

These mechanisms aim to protect capital while allowing winning trades to develop.

Strategy Variations per Market

Different instruments require slightly different parameter configurations due to their volatility characteristics.

• • GBPUSD often requires slightly wider stops due to consolidation behavior
• • USDJPY typically allows tighter stop-loss placement with larger reward potential
• • EURUSD may require longer trade development phases and later trailing activation
• • Gold can show especially strong breakout behaviour during active session transitions

These differences are handled through parameter optimization rather than structural changes to the strategy.

Time Filters

The system includes configurable trading windows. This allows exclusion of time periods with historically weaker performance or lower liquidity.

News Handling

The system supports optional news filters to pause trading during major events.

However, news trading can also produce strong momentum moves. Therefore, this filter is configurable and may be enabled or disabled depending on market behavior.

Strategy Monitoring

Like all strategies in the portfolio, performance is continuously monitored.

If a system enters a weaker performance phase, risk exposure may be temporarily reduced through lower position sizing.

Likewise, when favorable market conditions appear, the strategy may benefit from strong directional moves such as breakout phases in metals or Forex markets.

Strategy Philosophy

The Scalping Breakout Strategy focuses on structured participation in momentum moves rather than frequent trading.

• • Controlled risk per trade
• • Structural entries
• • Systematic execution
• • Continuous performance monitoring
• • Adaptive risk exposure

The strategy is designed to generate consistent opportunities while keeping downside risk controlled.

Key Characteristics

• • Structural breakout entries
• • Tight risk control
• • Configurable time filters
• • Risk-based position sizing
• • Multi-market applicability
• • Active performance monitoring

Notes

Performance may vary depending on market volatility and structural conditions. The system is continuously evaluated and adjusted when necessary.

The goal is consistent long-term performance rather than short-term optimization.

Strategy Idea

The ATR Breakout Strategy is designed to capture strong momentum moves following unusually large price movements.

The core concept is based on volatility expansion: when price moves significantly more than average, it often indicates the beginning of directional continuation.

The system identifies these abnormal price movements using the Average True Range (ATR) and enters trades in the direction of the move.

Markets Traded

The strategy is currently applied to several liquid markets including Nasdaq, Gold, USDJPY and GBPUSD.

The approach is designed to work best in markets that show strong momentum behavior after volatility expansion.

Entry Logic

The strategy identifies unusually large candles relative to recent volatility.

• • A candle exceeds a defined multiple of the ATR
• • Candle structure meets predefined criteria
• • Momentum characteristics are confirmed

Typical structural filters may include candle body size relative to total range, wick structure requirements and volatility expansion thresholds. Trades are typically entered at the open of the following candle after the signal is confirmed.

Risk–Reward Structure

The strategy follows an asymmetric risk model.

• • Small predefined stop-loss
• • Significantly larger take profit
• • High reward-to-risk ratio

The system is designed to accept multiple small losses while relying on occasional strong winners to generate overall profitability. This reflects a probability-based trading approach rather than win-rate optimization.

Trend Filter

An additional trend filter is included to improve trade selection.

This allows trades to be taken only in the direction of the prevailing market trend.

The filter parameters such as timeframe and moving average periods are configurable. This improves the probability of capturing continuation moves rather than counter-trend noise.

Time Filters

The strategy includes configurable trading windows.

This allows exclusion of historically weak periods such as low liquidity hours and helps improve signal quality.

Risk Management

Risk is controlled through predefined stop-loss placement and position sizing logic.

• • Risk-based position sizing
• • Fixed stop-loss distance
• • Portfolio-based exposure control

The strategy emphasizes capital preservation through small controlled losses rather than large drawdowns.

Strategy Behavior

Due to its asymmetric risk structure, the strategy naturally produces frequent small losses and occasional larger winners.

This behaviour is typical for momentum breakout strategies and reflects a mathematically driven trading approach.

Strategy Philosophy

The ATR Breakout Strategy focuses on exploiting volatility expansion rather than predicting price direction.

• • Volatility-based entries
• • Asymmetric risk structure
• • Statistical edge
• • Systematic execution
• • Robust parameter logic

The goal is to participate in strong market moves while maintaining controlled downside risk.

Key Characteristics

• • ATR-based entry logic
• • High reward-to-risk structure
• • Trend filtering capability
• • Configurable time filters
• • Multi-market deployment
• • Risk-based position sizing

Notes

Performance depends on the presence of momentum conditions. Periods of low volatility may produce fewer opportunities, while strong market phases typically provide the best results.

The strategy is continuously monitored and adjusted when necessary.