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RTSI Chart, Factor Exposure & Free Data

RTSI Price, Chart & Factor Exposure Free Data & Analytics Access

RTSI · I.RTS · Russia
Use symbol I.RTS in our API & Excel add-in to retrieve this data.
863.29
(+0.87%)
? Live Prices updated every 5-seconds. Momentum Factor ranges from -100 to +100 and is the mean of four timeframe signals (1 Day, 1 Week, 1 Month, 3 Months), where each timeframe is +1 if return is above 0 and -1 otherwise. Trend Factor ranges from -100 to +100 and is the mean of eight signals across 1-month, 3-months, 6-months, and 1-year, using price vs moving average and moving average slope (+1 or -1). A rollover occurs when trend flips sign. Bubble Risk is the z-score of current price vs 1-year price: (Current Price - 250 trading days SMA) / (250 days price standard deviation). Values above +2.5 indicate overbought; below -2.5 oversold. Realized Volatility (20-days) is the standard deviation of daily returns over the past 20 trading days multiplied by sqrt(252).
Momentum 0%
Trend -75%
Bubble Risk LOW
Volatility (20-Day Rolling) 25.76%

RTSI Forecast

RTSI long-term forecast is aSELL since long-term trend is -75.00%. RTSI price based on realized volatility has a forecasted price between 861.67 to 864.91 on a daily basis, 859.72 to 866.86 on a weekly basis, 855.85 to 870.73 on a monthly basis, and 837.53 to 889.05 on an annual basis.

RTSI Price Chart

MacroFinance.ai

RTSI Factors

Factor exposure for RTSI — signals, relative value, risk-model betas and fundamentals, plus factor models published by contributors.

What each factor says now, and what the next week and month paid when it last said the same thing — annualised, against the volatility it came with.

Quantitative Factors

Factor Value Where in its own range Forward 1 week, annualised Forward 1 month, annualised n · hit Reading
in this state
return / vol
all history
return / vol
Sharpe in this state
return / vol
all history
return / vol
Sharpe
Momentum
-1 signal, −1 to +1 no factor history — no forward return, and no volatility to measure it against Strong Negative
Trend
-1 signal, −1 to +1 no factor history — no forward return, and no volatility to measure it against Strong Negative
Mean Reversion
-1 price vs 250d mean no factor history — no forward return, and no volatility to measure it against Strong Oversold
20DVol
0.645 annualised no factor history — no forward return, and no volatility to measure it against High

Annualised on trading-day offsets — the 1-week forward return is 5 trading days so ×50.4, the 1-month is 20 so ×12.6, volatility by the square root of the same. Sharpe is return ÷ volatility. No t-statistic: daily sampling overlaps these windows, so the observation count overstates the independent evidence behind them.

Research on RTSI

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Statistical Distribution of Returns

Click for a quick guide to Distribution, Filters & Stats.
?

Filters

Factor Indicator Criteria Value And (for Between) Action


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Return Statistics
Statistic Unfiltered Filtered

About RTSI (Russia)

RTSI (Russia) is tracked on MacroFinance with a live and historical price chart, weekly factor-return attribution, statistical analysis (return distribution, drawdowns and seasonality), and free downloadable historical data (the last 10 years as CSV or JSON, no login).

Last updated: October 8, 2026

Frequently asked questions

What is RTSI?
RTSI is a financial market series for Russia. This page shows its live price, historical chart, the factors driving its weekly returns, and statistical analysis.
What factors affect RTSI?
The Factor Analysis section attributes RTSI weekly returns to drivers such as interest rates, inflation, the US dollar, oil, earnings, liquidity and volatility, with a contribution ranking for the latest period.
Where can I download free RTSI historical data?
Yes. The last 10 years of RTSI daily data are free to download as CSV or JSON directly from this page, with no login required. A free account unlocks the full history, an Excel export with factors, and API access.
How is RTSI analysed statistically?
The Statistical Analysis section covers the return distribution, drawdowns, monthly seasonality, volatility clustering and tail-risk metrics.
Is the RTSI data updated in real time?
RTSI shows a live/intraday chart plus end-of-day historical data updated daily.

Free RTSI historical data (last 10 years)

Browse or instantly download the last 10 years of RTSI daily price history. A free account unlocks the full history, an Excel export with factors, and API access.

Download CSV (10y)Download JSON (10y)Full history, Excel & API (free account)

DateClose
2026-09-28838.35
2026-09-25849.31
2026-09-24857.94
2026-09-23863.08
2026-09-22861.92
2026-09-21845.84
2026-09-18852.33
2026-09-17838.3
2026-09-16855.11
2026-09-15874.02
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