Tim Roman Zierer / News feed

Fuji Wave X — 30-Day Performance Snapshot
The latest 30-day Strategy Tester snapshot for Fuji Wave X shows a positive net result from a $100 starting balance.

Initial Deposit: $100.00

Total Net Profit: $26.19

Gross Profit: $61.51

Gross Loss: -$35.32

Net Growth: +26.19%

Fuji Wave X continues to focus on structured execution and disciplined trade management—built for traders who value measured, data-driven automation.

https://www.mql5.com/en/market/product/190402?source=Site+Profile+Seller

This post reflects a historical Strategy Tester snapshot for the most recent 30-day period. Historical performance is not indicative of future results. Trading involves risk.

Fuji Wave X — Year-to-Date Strategy Tester Snapshot

From a $100 initial deposit, this historical test produced $1,071.07 in net profit, with a 4.01 profit factor across 439 trades.

Net Profit: +971.07%

Profit Factor: 4.01

Profit Trades: 68.56%

Max Equity Drawdown: 17.83%

Built for systematic execution with a focus on structured trade management and measurable performance.

Strategy Tester results are historical and do not guarantee future performance. Trading involves risk.
https://www.mql5.com/en/market/product/190402?source=Site+Profile+Seller

Gold Dust X Update: Custom Order Comments
✨ Gold Dust X for XAUUSD H1 has received a new customization update.

The latest version adds Custom Order Comment Inputs, giving traders more control over how Gold Dust X positions are labeled inside MetaTrader 5.

You can now define a custom order comment directly in the EA inputs, making it easier to identify Gold Dust X trades in your terminal, account history, reports, screenshots, and account-management workflow.

What’s New
New custom order-comment input in the Gold Dust X settings

Personalize the comment attached to new Gold Dust X orders

Easier identification of EA trades in the Trade and History tabs

Improved organization when running several EAs, strategies, or charts

Cleaner reporting, journaling, and strategy tracking

Helpful for separating Gold Dust X orders from manual trades or other automated systems

Why It Matters
Custom order comments give you a clearer view of which positions belong to Gold Dust X. This is particularly useful when you run multiple automated systems on the same MT5 account, use account-history exports, or maintain a detailed trading journal.

The update complements Gold Dust X’s intelligent entry and exit engine by improving visibility and organization—not by changing your chosen risk settings or requiring any additional trading action.

How to Use It
Update Gold Dust X to the latest version.

Attach it to your intended XAUUSD H1 chart.

Open the EA Inputs tab.

Find the new Custom Order Comment setting.

Enter the label you want applied to new orders, such as Gold Dust X H1, GDX Live, or Gold Strategy 01.

Enable Algo Trading and allow the EA to operate normally.

✅ Review your input settings after updating.
✅ Use one clear naming format if you run multiple EAs.
✅ Test the setting on a demo account first to confirm it appears as expected with your broker.
https://www.mql5.com/en/market/product/190375?source=Site+Profile+Seller

Neural Networks in Trading: A Cross-Domain Time Series Forecasting Framework (Conclusion) - https://www.mql5.com/en/articles/18447

Gold Dust X — 3-Year Historical Performance
Gold Dust X has demonstrated strong historical performance across the last three years of testing, growing a $100 starting account to $1,192.93—a net gain of $1,092.93, or +1,092.93%.

3-year results at a glance
Starting deposit: $100.00

Net profit: $1,092.93

Ending balance: $1,192.93

Historical return: +1,092.93%

Total trades: 312

Winning trades: 214 of 312 — 68.59% win rate

Profit factor: 2.11

Expected payoff: $3.50 per trade

Maximum equity drawdown: $60.66 — 15.66%

Recovery factor: 18.02

Largest winning trade: $9.96

Largest losing trade: -$10.47

Across the test, Gold Dust X generated $2,076.45 in gross profit against -$983.52 in gross loss. Long positions produced a 73.65% win rate, while short positions achieved a 64.02% win rate, showing that the system was able to participate in opportunities on both sides of the gold market.

What stands out
The strategy recorded gains across all months represented in the report, with 214 profitable trades compared with 98 losing trades. Its reported 2.11 profit factor means that, historically, it generated approximately $2.11 in gross profit for every $1.00 of gross loss.

With a maximum reported equity drawdown of 15.66%, the test shows a historical balance between return generation and downside control. Still, a drawdown of that size should be considered carefully when selecting lot size and determining whether the system fits your individual risk tolerance.

Important disclaimer
These are historical strategy-tester results over the last three years using a $100 initial deposit. They are not investment advice and do not guarantee future performance. Actual live-trading results may differ because of spreads, commissions, slippage, execution quality, broker conditions, market volatility, account leverage, and changing market behavior.

https://www.mql5.com/en/market/product/190375?source=Site+Profile+Seller

#GoldDustX #XAUUSD #GoldTrading #ForexEA #MT5 #AlgorithmicTrading #AutomatedTrading #TradingResults #BacktestResults #ExpertAdvisor #RiskManagement

Gold Dust X — Year-to-Date Performance
Gold Dust X has delivered a substantial historical backtest gain so far this year, turning a $100 starting account into $312.05—a net increase of $212.05, or +212.05%.

Year-to-date snapshot
Starting deposit: $100.00

Net profit: $212.05

Ending balance: $312.05

Historical return: +212.05%

Total trades: 81

Winning trades: 52 of 81 — 64.20% win rate

Profit factor: 1.72

Expected payoff: $2.62 per trade

Maximum equity drawdown: $60.66 — 21.08%

Largest winning trade: $9.96

Largest losing trade: -$10.47

Gold Dust X produced $505.23 in gross profit versus -$293.18 in gross loss across the testing period. The system maintained positive performance across both directions, with long positions closing at a 73.53% win rate and short positions achieving a 57.45% win rate.

The year-to-date report shows a system designed to actively participate in gold-market opportunities across multiple trading sessions, with the strongest entry activity appearing early in the Asia session and again during the late European/US transition period.

What the results show
A $100 account would have grown by more than three times its starting size in this historical test, while the reported maximum equity drawdown remained near 21%. That return-to-drawdown profile is reflected in a 3.50 recovery factor.

As always, growth should be evaluated alongside risk: the strategy’s historical drawdown means appropriate position sizing and risk tolerance remain essential.

Important disclaimer
This post reports historical strategy-tester results for the current year to date. It is not investment advice or a promise of future results. Live trading performance can vary due to spreads, slippage, commissions, execution conditions, market volatility, broker differences, and changing market behavior.

https://www.mql5.com/en/market/product/190375?source=Site+Profile+Seller

#GoldDustX #XAUUSD #GoldTrading #ForexEA #MT5 #AutomatedTrading #AlgorithmicTrading #TradingResults #ExpertAdvisor #Backtest

Gold Dust X — 30-Day Performance Update
Gold Dust X delivered a strong 30-day backtest result on a modest $100 starting account, demonstrating disciplined performance and controlled drawdown.

Performance snapshot
Starting deposit: $100.00

Net profit: $36.25

Ending balance: $136.25

Return: +36.25%

Total trades: 10

Winning trades: 7 of 10 — 70% win rate

Profit factor: 2.19

Maximum equity drawdown: $19.11 — 14.42%

Largest winning trade: $9.93

Largest losing trade: -$10.18

Gold Dust X generated $66.80 in gross profit against -$30.55 in gross loss, with an average winning trade of $9.54. Long trades performed particularly well, achieving an 80% win rate, while short trades closed at a 60% win rate.

The result reflects an approach focused on extracting opportunity from gold-market movement while keeping drawdown measured relative to the account size. With a 2.19 profit factor, each $1 lost was matched by approximately $2.19 in gross profit during this testing period.

Important note
These are historical strategy-tester results for the reported 30-day period, not a guarantee of future performance. Trading involves risk, and live results can differ because of spreads, slippage, execution conditions, market changes, and account settings.

https://www.mql5.com/en/market/product/190375?source=Site+Profile+Seller

#GoldDustX #XAUUSD #GoldTrading #ForexEA #MT5 #AlgorithmicTrading #AutomatedTrading #TradingPerformance #ExpertAdvisor

Gold Dust X – XAUUSD H1 300-Strategy Gold Trading System
Gold Dust X is a high-output automated trading system designed exclusively for the XAUUSD H1 chart in MetaTrader 5. Powered by a diversified 300-strategy portfolio, this Expert Advisor is built to deliver structured, rules-based trade execution for traders focused on the gold versus U.S. dollar market.

Created for traders looking for an XAUUSD H1 automated gold trading robot, Gold Dust X combines a broad portfolio of strategy logic within one streamlined MetaTrader 5 Expert Advisor. The system is configured for the one-hour gold chart, giving users a dedicated approach to automated XAUUSD execution without the need for constant manual chart analysis.

Gold Dust X Features
300-strategy portfolio for XAUUSD H1 trading
Dedicated MetaTrader 5 automated gold trading EA
Built specifically for the XAUUSD one-hour timeframe
Portfolio-based trade selection and automated execution
Designed for systematic gold versus U.S. dollar trading
Default-ready settings for simple installation
Adjustable lot sizing for personalized account risk settings
Recommended Setup
Symbol: XAUUSD / Gold
Timeframe: H1 / 60 Minutes
Platform: MetaTrader 5
Setup: Attach Gold Dust X to a single XAUUSD H1 chart, select a lot size appropriate for your account, and enable Algo Trading.
Portfolio-Based Gold Trading Automation
Gold Dust X is designed for traders searching for a MetaTrader 5 XAUUSD portfolio Expert Advisor, a fully automated gold forex robot for H1 charts, a 300 strategy XAUUSD trading system, or an algorithmic gold trading EA for the one-hour timeframe. Its pair-specific configuration focuses on automated execution for XAUUSD rather than applying generic settings across unrelated instruments.

The diversified 300-strategy structure is intended to provide a broader framework for XAUUSD algorithmic trading on MetaTrader 5. Gold Dust X is suited to users who prefer systematic execution, a dedicated gold-market trading robot, and a simple workflow centered on choosing an appropriate lot size.

Important Risk Disclosure
Trading gold, forex, and leveraged instruments involves substantial risk. XAUUSD price movements can be volatile, and leverage may magnify both potential gains and losses. Gold Dust X does not guarantee profits, funded-account qualification, or protection from drawdown. Historical testing, optimization results, and past performance do not guarantee future live-trading outcomes. Always test carefully, use responsible position sizing, and trade only with capital you can afford to lose.
https://www.mql5.com/en/market/product/190375?source=Site+Profile+Seller

Measuring broker execution quality in MQL5: Why your live account doesn't match the backtest - https://www.mql5.com/en/articles/22998

MCMC Sampling Methods: The Slice Sampling Algorithm -
https://www.mql5.com/en/articles/20163

A Reinforcement Learning System for Algorithmic Trading in MQL5 -
https://www.mql5.com/en/articles/20122

How We Built the Most Powerful Machine Learning-Powered Trading Platform: The Evolution of MQL and MetaTrader Through Archives, Forums, and Releases - https://www.mql5.com/en/articles/22768

Neural Networks in Trading: A Cross-Domain Time Series Forecasting Framework (TimeFound) -
https://www.mql5.com/en/articles/18414

Exporting Custom Indicator Buffers to CSV for Python Backtesting Pipelines -
https://www.mql5.com/en/articles/23499

Building a Volume-Based Liquidity Heatmap Indicator in MQL5 -
https://www.mql5.com/en/articles/23550

Amaterasu X is a USDJPY-focused Expert Advisor designed specifically for the H1 chart. It combines a 200-strategy internal framework with key-level analysis, Bollinger Band context, and selective entry filters to identify deeper trade opportunities with clearly defined objectives.

Built for traders who prefer a structured automated approach, Amaterasu X prioritizes trade-location quality and disciplined entry conditions rather than reacting to every short-term price movement. The EA evaluates USDJPY H1 conditions through its internal framework before a position is considered, with the objective of targeting meaningful market movement when the required conditions align.

Core Trading Concept
USDJPY can move through sustained trends, sharp pullbacks, broad ranges, volatility expansion, central-bank reactions, and changes in global risk sentiment. Amaterasu X is designed to evaluate these changing environments through a diversified internal decision framework rather than relying on one isolated signal.

The system focuses on three core ideas:

Trade location: Identify price areas near relevant internal key levels instead of chasing extended movement.
Volatility context: Use Bollinger Bands as part of the analysis framework to assess price position, expansion, contraction, and relative market conditions.
Selective confirmation: Require additional internal filters before a new USDJPY H1 trade is allowed.
The objective is not to trade every visible market move. The objective is to wait for a combination of price location, volatility context, market structure, and internal confirmation conditions that meet the system’s rules.

Designed for USDJPY H1
Amaterasu X is built for USDJPY on the H1 timeframe. The H1 chart is intended to provide a balanced environment for structured trade evaluation: it can filter some of the noise seen on lower timeframes while still allowing the EA to respond to meaningful changes in price structure and volatility.

For intended operation, attach Amaterasu X only to:

Symbol: USDJPY
Timeframe: H1
Platform: MetaTrader 5
USDJPY can be affected by U.S. economic releases, Federal Reserve policy, Japanese economic data, Bank of Japan decisions, interest-rate expectations, and broader risk-sentiment changes. High-impact events can affect price, spread, liquidity, and execution quality.

200-Strategy Framework
Amaterasu X uses a diversified internal framework of 200 strategy components. These components are designed to evaluate different forms of USDJPY H1 behavior and operate as a coordinated decision process before a trade is opened.

The 200 internal strategies do not mean that the EA will open 200 positions or trade every market movement. They act as internal analysis, validation, and filtering components that help determine whether a potential opportunity meets the current requirements of the system.

The framework is designed to evaluate conditions such as:

Directional market structure and trend behavior.
Pullback, retracement, and deeper price-location conditions.
Key-level interaction and support or resistance context.
Bollinger Band position, width, expansion, and contraction.
Range behavior, boundary interaction, and rejection conditions.
Breakout, retest, continuation, and follow-through conditions.
Volatility-aware entry filtering.
Risk and execution checks before a position is opened.
This multi-strategy design is intended to reduce reliance on a single pattern, single indicator, or one-candle signal. Amaterasu X is designed to wait for internal alignment before taking a USDJPY H1 trade.

Key Levels and Trade Entry Areas
Amaterasu X prioritizes trade entry areas around relevant internal key levels. These levels can provide structure for evaluating whether price is extended, retracing, testing an important area, or developing a potential continuation or reversal condition.

Entering after price has already moved far from a planned location can change the quality of the trade. The logical stop-loss may become farther away while the remaining reward to the next market obstacle may become smaller. For this reason, Amaterasu X is designed to focus on selective price areas instead of chasing every rapid move.

The trade-location framework is designed to assess:

Price interaction with internal support and resistance areas.
Pullbacks into potential value zones.
Range boundaries and possible rejection areas.
Breakout retests and continuation locations.
Distance from recent price extension.
Available room toward a realistic target area.
Key-level analysis does not guarantee that price will reverse or continue. It provides structured context that can be combined with the EA’s Bollinger Band and internal confirmation filters.

Bollinger Bands With Selective Filters
Bollinger Bands are widely used volatility-based technical tools. They can help show relative price location, volatility compression, volatility expansion, and price interaction with a dynamic range.

A Bollinger Band touch by itself is not a complete trading signal. During strong trends, USDJPY can remain near an outer band for an extended period. During ranges, price can react at a band but still continue through the area. A robust system needs context, confirmation, and risk control.

Amaterasu X uses Bollinger Bands as part of its internal entry framework together with additional filters designed to assess:

Current USDJPY price structure and directional context.
Price location relative to internal key levels.
Band width and volatility environment.
Potential trend continuation versus reversal behavior.
Pullback and retracement quality.
Internal trade confirmation before execution.
Risk and execution conditions before entry.
The purpose is to make Bollinger Band analysis more selective. Rather than treating every upper-band or lower-band interaction as an entry, Amaterasu X waits for its internal requirements to align.

Accuracy-Focused Trade Selection
Amaterasu X is designed with an accuracy-focused trade-selection process. The system prioritizes quality of entry area and internal confirmation over the goal of taking every possible trade.

Its entry process is designed to emphasize:

USDJPY H1 market context.
Price location near relevant internal levels.
Bollinger Band volatility context.
Additional internal confirmation filters.
Trend, pullback, range, and breakout-condition evaluation.
Defined risk before an order is placed.
Consistent rule-based execution.
No Expert Advisor can guarantee accurate entries, a specific win rate, profitable trades, or future performance. Accuracy can change with market regime, volatility, broker spread, commission, slippage, swap, execution quality, account settings, and the period evaluated.

Amaterasu X should be judged using a complete performance view that includes win rate, average win, average loss, drawdown, consecutive losses, risk-to-reward, trading costs, and broker-specific execution—not accuracy alone.

Deep Targets and Meaningful Trade Development
Amaterasu X is designed to pursue deeper targets when its USDJPY H1 entry conditions and trade-location framework provide sufficient room for a meaningful move. The focus is on allowing qualified trades to target broader price objectives rather than relying only on very small short-term movements.

Deeper targets require realistic expectations. A target should reflect internal trade logic and available market structure, not an arbitrary large number selected to make a trade appear attractive.

The system’s trade-development approach is designed to consider:

Entry location relative to key levels.
Distance to relevant support or resistance areas.
Trend and volatility conditions.
Risk-to-reward structure before entry.
Internal exit and trade-management rules.
Deep targets do not guarantee large profits. A trade can still reach its protective stop-loss, experience slippage, or be affected by changing conditions. Proper risk settings remain essential.
https://www.mql5.com/en/market/product/193283?source=Site+Market+My+Products+Page#description

Implementing and Benchmarking Bag-of-SFA-Symbols (BOSS) Against Dynamic Time Warping (DTW) - https://www.mql5.com/en/articles/23491

European Union Consumer Price Expectations - https://www.mql5.com/en/economic-calendar/european-union/consumer-price-expectations
(for more indicators by source code - look at this channel: https://www.mql5.com/en/channels/forecast )