RTSI

The RTS Index (RTSI) is a benchmark stock market index that tracks the performance of the largest and most liquid Russian companies listed on the Moscow Exchange (MOEX). Launched in 1995, it serves as a key indicator of Russia's economic health and investor sentiment. The index is calculated in US dollars, making it accessible to international investors and reflecting currency dynamics alongside stock performance. Its composition includes major sectors like energy, finance, and materials, providing a broad view of the Russian corporate landscape. Historically, the RTSI has shown sensitivity to global commodity prices, geopolitical events, and domestic economic policies, offering insights into emerging market trends.

The RTS Index is a market-capitalization-weighted index comprising about 50 of the largest Russian stocks traded on MOEX. It is denominated in US dollars, which distinguishes it from the ruble-based MOEX Russia Index. Key sectors represented include energy (e.g., Gazprom, Lukoil), financials (e.g., Sberbank), and materials. The index is rebalanced quarterly to maintain liquidity and relevance. As an emerging market index, it exhibits higher volatility compared to developed market indices, influenced by factors like oil prices and international sanctions.

The RTS Index's price movements are driven by a mix of macroeconomic and sector-specific factors. Key influences include global oil and commodity prices, as Russia's economy is heavily reliant on energy exports. Geopolitical events, such as sanctions or international relations, can impact investor confidence and capital flows. Domestic economic policies, including interest rates set by the Central Bank of Russia and fiscal measures, also play a role. Technically, the index is analyzed using historical price patterns, volume trends, and volatility indicators, with support and resistance levels helping identify potential turning points in market sentiment.

Trading Way analyzes the RTS Index using AI models that process historical price data, trading volumes, and macroeconomic indicators. The platform employs neural networks (BiLSTM + CNN + Attention) to identify patterns and generate forecasts. These models assess probability distributions for price directions and calculate analytical levels like entry points, take-profit, and stop-loss. It's important to note that all forecasts are based on historical data and statistical models, which have inherent limitations and do not guarantee future outcomes.

On Trading Way, users can access AI-powered price forecasts for the RTS Index, including calculated entry points, take-profit, and stop-loss levels with probability assessments. The platform provides interactive price charts with historical data and pivot points (support and resistance levels) for technical analysis. Analytical signals are generated with notifications to keep users informed. Trading Way is an AI-powered financial analytics platform designed for educational purposes and does not offer investment, brokerage, or advisory services.