Davit Beridze / Профиль
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5+ лет
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47
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115
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I have been actively trading Forex since 2009, with an extensive background in managing both corporate and private investment portfolios. Having experienced firsthand the limitations of discretionary trading and the psychological toll of emotional decision-making, I shifted my focus toward building robust, data-driven systems.
My Approach:
I combine deep market experience with quantitative analysis to engineer high-performance trading tools. My core philosophy is simple: the market doesn't answer to intuition—it answers to statistical edges. My custom indicators and Expert Advisors (EAs) are designed to minimize lag, auto-optimize for changing market volatility, and eliminate emotional interference from the trading process.
Now an Author:
I recently published my book, “My Trading Way: Turning Market Chaos into Statistical Order,” where I share the complete algorithmic framework I use to build and validate my systems—from modular architecture to Walk-Forward Optimization. You can find it here: https://www.amazon.com/dp/B0H6VF2GQ5
Services:
If you are looking to turn your trading ideas into a fully automated, statistically verified Expert Advisor, let’s collaborate. I specialize in translating manual strategies into professional-grade MQL5 code with a focus on risk management and dynamic performance.
Connect with Me:
MQL5: Send me a direct message for custom development inquiries.
Telegram: https://t.me/dato896
My Tools & Portfolio: https://davits-tools.lovable.app
MT5🔗 https://www.mql5.com/en/market/product/170394
MT4🔗 https://www.mql5.com/en/market/product/170623
Most trend indicators fail for one simple reason: markets change, but static parameters don't. As quantitative developers, we know that relying on rigid settings in shifting volatility regimes is a losing game. Statistical robustness is the only thing that works long-term.
Introducing the ChandraSAR Optimizer for MetaTrader 5—a dynamic trend-following system that solves the problem of shifting volatility by embedding a highly efficient, array-based Walk-Forward optimization engine directly into your chart.
By merging the precision of a Chandelier Exit with the momentum-tracking of Parabolic SAR, ChandraSAR doesn’t just generate signals. It continuously tests, scores, and adapts its own parameters to the current market regime without any manual intervention.
Here is how it secures a quantitative edge:
• ⚙️ Dynamic Walk-Forward Engine: Automatically re-optimizes parameters on a rolling schedule (Daily/Weekly/Monthly) using your defined objectives (like Minimum Drawdown or Max Profit Factor) to stay perfectly synced with current conditions.
• 🛡️ Strict Anti-Overfitting Logic: Applies a stringent Out-Of-Sample penalty and custom "Stability Score" to validation data, preventing erratic parameter jumping and ensuring robust, out-of-sample survival.
• ✂️ Chop-Killing Volatility Filter: An integrated, higher-timeframe ATR base filter evaluates market conditions before any signal is validated, actively keeping the trend-following logic out of flat, noisy, ranging markets.
• 📊 Advanced Trade Simulation: Features a built-in virtual backtester tracking realistic trading conditions with customizable ATR-based SL/TP zones, displaying live virtual PnL directly on your screen.
• ⚡ Zero-Lag Architecture: Engineered entirely with lightweight, raw array mathematics to perform brute-force parameter sweeps and tick-optimized calculations without freezing your terminal.
The Proof is in the Data:
Check the attached Strategy Tester report. This is the backtest of the automated EA based directly on the ChandraSAR indicator logic, running on BTC M1 from 2025.01.02 to today. It executed over 53,000 trades, demonstrating a massive, stable equity curve with a high recovery factor. (Note: This logic is highly adaptable and performs exceptionally well on Gold and other major assets).
🎁 Special Bonus Offer:
Contact me directly after your purchase to receive the fully automated EA based on this indicator as a FREE bonus. Stop curve-fitting and get the analytical edge of a quantitative firm on your own charts.
🔗 https://www.mql5.com/en/market/product/176308
Here is the link to the indicator: https://www.mql5.com/en/market/product/176308
Contact me after purchase to get Bonus EA.
Here is the link to the indicator: https://www.mql5.com/en/market/product/176308
Contact me after purchase to get Bonus EA.
MT5🔗 https://www.mql5.com/en/market/product/170394
MT4🔗 https://www.mql5.com/en/market/product/170623

Название: Quantitative Divergence Pro: Самооптимизирующийся механизм поиска дивергенций Краткое описание: Хватит полагаться на статические параметры. Используйте возможности рынка с помощью самооптимизирующегося мульти-осцилляторного индикатора дивергенций, построенного на основе форвардного статистического анализа. Описание: Рынок динамичен; ваши индикаторы не должны быть статичными. Quantitative Divergence Pro (v5.7) обходит жесткие настройки по умолчанию
MT4: https://www.mql5.com/en/market/product/161154
MT5: https://www.mql5.com/en/market/product/163078
Buy EA today to start building StressLess Auto Trading environment
https://www.mql5.com/en/market/product/177128
Название: Quantitative Divergence Pro: Самооптимизирующийся механизм поиска дивергенций Краткое описание: Хватит полагаться на статические параметры. Используйте возможности рынка с помощью самооптимизирующегося мульти-осцилляторного индикатора дивергенций, построенного на основе форвардного статистического анализа. Описание: Рынок динамичен; ваши индикаторы не должны быть статичными. Quantitative Divergence Pro (v5.7) обходит жесткие настройки по умолчанию, выполняя непрерывную фоновую
MT5🔗 https://www.mql5.com/en/market/product/170394
MT4🔗 https://www.mql5.com/en/market/product/170623
Get indicator here: https://www.mql5.com/en/market/product/176308 and contact me after purchase to get EA.
ChandraSAR Optimizer for MT5 uses a built-in Walk-Forward optimization engine to constantly adapt its parameters to current volatility. It combines Chandelier Exits and Parabolic SAR, automatically adjusting itself to find the mathematical edge without any manual tuning.
✅ Auto-adapts to shifting markets
✅ Built-in ATR filter to avoid chop
✅ Live virtual PnL & metrics on-chart
🎁 BONUS: Contact me after purchase to get the fully automated EA version for FREE!
Get it here: https://www.mql5.com/en/market/product/176308
Свяжитесь со мной после покупки, чтобы бесплатно получить советник (EA) на базе этого индикатора в качестве бонуса. ChandraSAR Optimizer: Самоадаптирующийся количественный трендовый алгоритм Большинство трендовых индикаторов терпят неудачу по одной простой причине: рынки меняются, а статические параметры — нет. ChandraSAR Optimizer устраняет разрыв между простой генерацией сигналов и продвинутым алгоритмическим тестированием. Это динамическая трендовая система для MetaTrader 5, которая решает
MT4: https://www.mql5.com/en/market/product/161154
MT5: https://www.mql5.com/en/market/product/163078
Buy EA today to start building StressLess Auto Trading environment
MT5🔗 https://www.mql5.com/en/market/product/170394
MT4🔗 https://www.mql5.com/en/market/product/170623
you can try it through next links:
MT4: https://www.mql5.com/en/market/product/175086
MT5: https://www.mql5.com/en/market/product/174634
MT5🔗 https://www.mql5.com/en/market/product/170394
MT4🔗 https://www.mql5.com/en/market/product/170623

MT4: https://www.mql5.com/en/market/product/161154
MT5: https://www.mql5.com/en/market/product/163078
Buy EA today to start building StressLess Auto Trading environment
MT4: https://www.mql5.com/en/market/product/161154
MT5: https://www.mql5.com/en/market/product/163078
Buy EA today to start building StressLess Auto Trading environment
Свяжитесь со мной после покупки, чтобы получить бонусный EA на основе этого индикатора. Self Optimizing Double MA Strategy — это торговый инструмент профессионального уровня, созданный для того, чтобы исключить необходимость угадывать параметры. Оснащенный встроенным механизмом автооптимизации, он непрерывно адаптируется к меняющимся рыночным условиям, моделируя тысячи комбинаций параметров в фоновом режиме для сохранения статистического преимущества. Вместо того чтобы полагаться на



