Discover Zyra: A Versatile and Customizable EA

Money Management

• Magic Number: Unique identifier to differentiate trades opened by this EA from others or manual operations.
  • Purpose: Ensures independent management of positions, even if multiple EAs are running simultaneously on the same account.
• Use Money Management: Activates or deactivates automated capital management.
  • true: Uses defined management parameters to automatically calculate lot sizes.
  • false: Disables this feature. Lot sizes must then be set manually.
• Number of EA in same time: Limits the number of active EA instances running simultaneously.
  • Purpose: Optimizes diversification and prevents capital overload.
• Risk Percent: Percentage of risk per trade.
  • Example: 10% means a trade can only lose up to 10% of the total capital.
• Decimals: Number of decimals for lot sizes.
  • Example: 2 allows working with lot sizes like 0.01 or 0.10.
• Lots if no Money Management: Lot sizes used if capital management is disabled.
  • Example: If set to 0.01, all trades will have a fixed size of 0.01 lots.
• Max Lots: Upper limit for lot sizes.
  • Example: If set to 200, no trade will exceed this size.
• InitialCapital: Initial capital considered for risk and position calculations.
  • Purpose: Useful for simulating or limiting the use of a specific portion of the total capital.

Trading Options

• Dont Trade On Weekends: Prevents opening or maintaining positions over the weekend.
  • true: Positions are closed before the weekend.
  • false: Positions can remain open.
• Friday Close Time: Specific time to close positions before the weekend.
  • Example: 20:40 closes all positions on Friday at 8:40 PM.
• Sunday Open Time: Time to resume trading on Sunday evening.
  • Example: 00:38 activates trading at 12:38 AM on Sunday night.
• Exit At End Of Day: Forces positions to close at a specific time at the end of the day.
  • true: Positions are closed automatically.
  • false: Positions remain open.
• Exit At End Of Day Time: Exact time to close positions at the end of the day.
  • Example: 23:04 closes all positions at 11:04 PM.
• Exit On Friday: Forces positions to close specifically on Fridays.
  • true: Positions are automatically closed on Friday.
  • false: Positions can remain open.
• Friday Exit Time: Exact time to close positions on Friday.
• Limit Time Range: Restricts the hours during which the EA can open positions.
  • true: Activates this restriction.
  • false: No time restrictions.
• Signal Time Range From / Signal Time Range To: Defines the time ranges during which the EA can open positions.
  • Example: From 08:00 to 16:00 for a specific trading session.
• Exit At End Of Range: Forces positions to close at the end of the defined time range.
  • true: Positions are closed.
  • false: Positions can remain open.
• Max Trades Per Day: Limits the maximum number of trades per day.

The 10 Strategies Integrated into Zyra

Each strategy is independent and can be enabled or disabled. The specific parameters for each strategy are fully customizable, allowing Zyra to adapt to various markets and conditions. Here is a description of the 10 included strategies:

1. Mean-Reversion Strategy

This strategy exploits market reversals after excessive volatility. The EA identifies significant deviations from a moving average and enters a position when the price shows signs of returning to the mean.

• Main Indicators: Simple Moving Averages (SMA), RSI.
• Key Parameters: Overbought/oversold thresholds, average distance.

2. Short-Term Trend Strategy

The EA follows short-term trends using indicators like RSI and CCI to detect moments when a strong trend develops.

• Main Indicators: RSI, CCI.
• Key Parameters: RSI and CCI periods, stop-loss/take-profit adapted to rapid movements.

3. Long-Term Trend Strategy

Designed to capture major trends, this strategy uses long-term indicators like Ichimoku and ATR to detect continuation signals.

• Main Indicators: Ichimoku, ATR.
• Key Parameters: Trend length, ATR thresholds.

4. Breakout Strategy

Targets significant breakouts of key levels. The EA detects support and resistance zones and enters a position when these levels are broken with significant volume.

• Main Indicators: Support/resistance, volumes.
• Key Parameters: Volume threshold, breakout distance.

5. Momentum Strategy

Exploits rapid market accelerations. The EA enters a position when a strong directional movement is detected using the Momentum indicator.

• Main Indicators: Momentum, Exponential Moving Average (EMA).
• Key Parameters: Momentum period, EMA confirmation.

6. Volatility Strategy

Ideal for turbulent markets, this strategy uses indicators like Keltner Channels and ATR to detect opportunities during periods of high volatility.

• Main Indicators: Keltner Channels, ATR.
• Key Parameters: ATR thresholds, channel width.

7. Range Strategy

Exploits periods when the market moves within a defined channel. The EA identifies range extremes using Bollinger Bands and places trades near the limits.

• Main Indicators: Bollinger Bands.
• Key Parameters: Band width, reversal confirmation.

8. Price Action Strategy

Analyzes price patterns and fractals to capture significant moves when critical levels are breached.

• Main Indicators: None (based solely on price).
• Key Parameters: Candle patterns, reversal thresholds.

9. Statistical Anomalies Strategy

Identifies unusual price situations based on statistical averages. The EA exploits unusual divergences to open positions.

• Main Indicators: Statistical mean, standard deviation.
• Key Parameters: Standard deviation thresholds, analysis periods.

10. Reflex Vortex Strategy

Analyzes sudden market movements using the Vortex indicator. This strategy enters a position when the Vortex lines show a reversal signal.

• Main Indicators: Vortex, RSI for confirmation.
• Key Parameters: Vortex period, RSI confirmation level.

Each of these strategies can be individually enabled or disabled. This allows full customization to adapt to different markets, instruments, and trading styles.

Pre-configured Sets for Major Forex Pairs

To simplify your experience and get you started quickly, Zyra comes with 7 pre-configured sets tailored for the 7 major Forex pairs (EURUSD, AUDUSD, GBPUSD, USDCHF, USDCAD, USDJPY, NZDUSD) on the H1 timeframe.

These sets are optimized using robust data and are designed to balance risk and profitability, giving you a strong foundation to customize further or start trading immediately.

Each set has been carefully tested to ensure compatibility and performance across diverse market conditions. Simply load the sets and watch Zyra work for you!

Optimizations: Classic vs. Sequential

Zyra offers two types of optimization methods to suit your trading preferences:

• Classic Optimization: This method focuses on finding the best combination of parameters by testing them simultaneously. It aims to maximize metrics like profit, drawdown, and Sharpe ratio while ensuring a balanced configuration.
• Sequential Optimization: This method avoids over-optimization by refining parameters one at a time. It systematically improves each parameter based on the best results from previous iterations, creating a more stable and less curve-fitted setup.

Data Selection: All Data vs. Last 5 Years

Zyra provides optimized sets based on two data ranges:

• All Data: These sets are optimized using historical data spanning from 2004 to 2025. They aim to perform consistently over a long-term horizon, accommodating various market conditions.
• Last 5 Years: These sets focus only on data from the past 5 years. They are designed for traders who prioritize recent market trends and want strategies tailored to current conditions.

How to Choose? If you’re looking for long-term stability, the “All Data” sets are a great choice. For those who prefer adapting to the latest market conditions, the “Last 5 Years” sets might be more appropriate.

An Optimization Focused on Balance

Zyra’s optimizations are not solely focused on maximizing profits but are carefully designed to strike a balance between multiple performance metrics. The goal is to create a robust and stable trading strategy that performs well across various market conditions.

Our optimization process takes into account:

• Net Profit: Ensures strategies remain profitable over time.
• Drawdown (DD): Limits the maximum equity drop, prioritizing capital protection.
• Sharpe Ratio: Measures the risk-adjusted returns of each strategy, providing a better understanding of profitability relative to risk.
• Profit Factor: Evaluates the ratio of gross profits to gross losses, ensuring a favorable profit-loss balance.
• Recovery Factor: Tracks the ability of the strategy to recover from drawdowns, highlighting its resilience.

This holistic optimization approach ensures that Zyra’s strategies are not only profitable but also reliable and secure for long-term trading success.