Rough Rice Live Price, Chart & Factors Free Data & Analytics Access
ZR in our API & Excel add-in to retrieve this data.Rough Rice Forecast
Rough Rice Price Chart
Rough Rice Factors
Factor exposure for Rough Rice — 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 Positive | ||||||
|
Trend
|
1 | signal, −1 to +1 | no factor history — no forward return, and no volatility to measure it against | Strong Positive | ||||||
|
Mean Reversion
|
0.5 | price vs 250d mean | no factor history — no forward return, and no volatility to measure it against | Overbought | ||||||
|
20DVol
|
-0.444 | annualised | no factor history — no forward return, and no volatility to measure it against | Normal | ||||||
Financial Factors
Macroeconomic Factors
Asset Risk Exposure
Global Risk Factors
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 Rough Rice
Explore MacroFinance macro & markets research and analysis.
Statistical Distribution of Returns
Filters
| Factor | Indicator | Criteria | Value | And (for Between) | Action |
|---|
| Statistic | Unfiltered | Filtered |
|---|
About Rough Rice
Rough Rice 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
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Free Rough Rice historical data (last 10 years)
Browse or instantly download the last 10 years of Rough Rice 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)
| Date | Close |
|---|---|
| 2026-09-29 | 16.4 |
| 2026-09-28 | 16.455 |
| 2026-09-25 | 16.62 |
| 2026-09-24 | 16.265 |
| 2026-09-23 | 16.005 |
| 2026-09-22 | 16.01 |
| 2026-09-21 | 16.065 |
| 2026-09-18 | 15.64 |
| 2026-09-17 | 15.79 |
| 2026-09-16 | 15.84 |
Understanding the Statistical Distribution
The histogram shows the frequency of returns for the selected timeframe (1-Day, 1-Week, 1-Month, etc.). Values are expressed in % buckets after applying the corresponding scaling.
- Unfiltered = all observations within the date range.
- Filtered = observations that meet the criteria you add in the Filters panel (e.g., RSI > 60, Bubble Risk = LOW, etc.).
Annualization & Scaling
Means and standard deviations are annualized by the selected timeframe: 252 (daily), 52 (weekly), 12 (monthly), 6 (bi-monthly), 4 (quarterly). Histogram buckets display returns × 100.
Interacting with Filters
- Choose a factor (Momentum, Trend, Bubble Risk, RSI).
- Select a criterion (greater / equal / smaller / between).
- Set the value(s) and the chart & stats recalc instantly.
Use the date inputs to constrain the analysis window. “Clear” resets filters and dates.