Budapest SE Price, Chart & Factor Exposure Free Data & Analytics Access
I.BUX in our API & Excel add-in to retrieve this data.Budapest SE Forecast
Budapest SE short-term price forecast is aSELL since short-term momentum is -50.00%. Budapest SE long-term forecast is aBUY since long-term trend is 50.00%. Budapest SE price based on realized volatility has a forecasted price between 143,681.64 to 143,683.46 on a daily basis, 143,680.54 to 143,684.56 on a weekly basis, 143,678.37 to 143,686.73 on a monthly basis, and 143,668.06 to 143,697.04 on an annual basis.
Budapest SE Price Chart
Budapest SE Factors
Factor exposure for Budapest SE — 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 | price vs 250d mean | no factor history — no forward return, and no volatility to measure it against | Neutral | ||||||
|
20DVol
|
0.097 | annualised | no factor history — no forward return, and no volatility to measure it against | Normal | ||||||
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 Budapest SE
Explore MacroFinance macro & markets research and analysis.
Statistical Distribution of Returns
Filters
| Factor | Indicator | Criteria | Value | And (for Between) | Action |
|---|
| Statistic | Unfiltered | Filtered |
|---|
About Budapest SE (Hungary)
Budapest SE (Hungary) 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 Budapest SE?
What factors affect Budapest SE?
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Is the Budapest SE data updated in real time?
Free Budapest SE historical data (last 10 years)
Browse or instantly download the last 10 years of Budapest SE 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 |
|---|---|
| 2026-09-28 | 149155 |
| 2026-09-25 | 151272 |
| 2026-09-24 | 151508 |
| 2026-09-23 | 152002 |
| 2026-09-22 | 151343 |
| 2026-09-21 | 152997 |
| 2026-09-18 | 152754 |
| 2026-09-17 | 154173 |
| 2026-09-16 | 154182 |
| 2026-09-15 | 153518 |
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.