2G AI Algorithm: Advanced AI for Trading
Predictive Analysis Powered by AI
Our cutting-edge artificial intelligence algorithm leverages deep learning to analyze financial markets and accurately predict the probability of an asset’s rise or fall over the next 20 trading days.
By utilizing massive datasets and real-time market information, the algorithm continuously adapts and refines its predictive models. It assesses patterns, price movements, and historical trends to generate accurate probability scores for various financial instruments. This approach allows traders and investors to make data-driven decisions with higher confidence and reduced emotional bias.
- Binary Approach: Each financial instrument is classified as “long” (recommended buy) or “flat” (wait). This ensures that only the most promising opportunities are highlighted.
- Adaptive Learning: The AI continuously refines its predictions by integrating the latest market data, ensuring relevance and precision.
- Sentiment Analysis: By processing news sources, social media trends, and macroeconomic indicators, the algorithm gains deeper insights into market psychology and potential shifts.
- No Short Strategies: To minimize risk, the algorithm avoids short trades, focusing only on well-calculated, lower-risk opportunities.
- Historical Performance Tracking: The AI compares past performance of assets in similar market conditions, providing enhanced forecasting accuracy.
This predictive approach enhances decision-making by eliminating guesswork and offering an advanced, systematic, and quantitative way of analyzing the market.
The Cyclical Model: Trading with a Time-Based Logic
The algorithm employs a market clock model divided into 12 phases, synchronized with movements between highs and lows.
๐น Key Cycle Points:
- 12:00 โซ – Relative High: Identifies strategic buying opportunities.
- 6:00 โฌ – Relative Low: Optimal entry signal at the first occurrence.
- 3:00 ๐ – Strategic selling point to optimize profits.
- Stop Loss ๐จ – Automatic sell if a predefined risk threshold is reached.
Dynamic Trading Strategy
The algorithm updates its parameters daily based on the latest market data and optimizes trading decisions with a limited annual turnover.
๐น Key Indicators: โ
5-Year Performance โ Growth | Value | Lack
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Trend โ Buy | Long | Sell | Out
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Risk โ Scale 1-9 (based on ESMA SRRI methodology)
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Rating โ Scale 1-9 (from minimum to maximum)
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Liquidity โ Scale 1-9
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Cyclical Phase โ Value between 1 and 12
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Entry Price โ Only if “Long” signal is triggered
Why Choose 2G AI Algorithm?
๐ก Decisions based on advanced AI
๐ Highly accurate predictive analysis
๐ Optimized risk management
โณ Cyclical approach to maximize opportunities
Embrace the future of trading with artificial intelligence. ๐