PureFunds ISE Cyber Security ETF Price, Chart & Factor Exposure Free Data & Analytics Access
I.HACK in our API & Excel add-in to retrieve this data.PureFunds ISE Cyber Security ETF Forecast
PureFunds ISE Cyber Security ETF short-term price forecast is aBUY since short-term momentum is 50.00%. PureFunds ISE Cyber Security ETF long-term forecast is aBUY since long-term trend is 100.00%. PureFunds ISE Cyber Security ETF price based on realized volatility has a forecasted price between 125.05 to 130.27 on a daily basis, 121.92 to 133.40 on a weekly basis, 115.72 to 139.60 on a monthly basis, and 86.29 to 169.03 on an annual basis.
PureFunds ISE Cyber Security ETF Price Chart
PureFunds ISE Cyber Security ETF Factors
Factor exposure for PureFunds ISE Cyber Security ETF — 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
|
0.75 | 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 | ||||||
|
Realised Volatility (20D)
|
0.571 | annualised | no factor history — no forward return, and no volatility to measure it against | Elevated | ||||||
Country 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 | |||||
|
Manufacturing PMI
|
55.3 | no factor history — no forward return, and no volatility to measure it against | ||||||||
|
S&P 500
|
7,704.13 | no factor history — no forward return, and no volatility to measure it against | ||||||||
|
United States 10-Year Bond Yield
|
5.253 | no factor history — no forward return, and no volatility to measure it against | ||||||||
|
US 2-year bond yield
|
4.904 | no factor history — no forward return, and no volatility to measure it against | ||||||||
|
US Services PMI
|
50.9 | no factor history — no forward return, and no volatility to measure it against | ||||||||
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 PureFunds ISE Cyber Security ETF
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Statistical Distribution of Returns
Filters
| Factor | Indicator | Criteria | Value | And (for Between) | Action |
|---|
| Statistic | Unfiltered | Filtered |
|---|
About PureFunds ISE Cyber Security ETF (United States)
PureFunds ISE Cyber Security ETF (United States) 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 PureFunds ISE Cyber Security ETF?
What factors affect PureFunds ISE Cyber Security ETF?
Where can I download free PureFunds ISE Cyber Security ETF historical data?
How is PureFunds ISE Cyber Security ETF analysed statistically?
Is the PureFunds ISE Cyber Security ETF data updated in real time?
Free PureFunds ISE Cyber Security ETF historical data (last 10 years)
Browse or instantly download the last 10 years of PureFunds ISE Cyber Security ETF 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 |
|---|---|
| 2026-09-30 | 121.24 |
| 2026-09-29 | 119.81 |
| 2026-09-28 | 119.46 |
| 2026-09-25 | 118.35 |
| 2026-09-24 | 122.18 |
| 2026-09-23 | 124.07 |
| 2026-09-22 | 121.98 |
| 2026-09-21 | 122.98 |
| 2026-09-18 | 118.67 |
| 2026-09-17 | 120.48 |
See how this market's returns behaved when a factor was in a given state, for example when Momentum was strong or bond yields were above 4%, and compare that with all periods.
Reading the chart
- Each bar is a return bucket; its height is the share of periods that landed there.
- All periods: every return in the date range.
- Matching periods: only the periods where all your filters were true. If orange shifts right of the grey, returns were better in that regime.
- Each period's return is the return over the following day, week or month (set by Timeframe), measured from the day the factor was read, so there is no look-ahead.
Adding a filter
- Factor: grouped the same way as the Factors section on this page (Quantitative, Country, Sector, …). Locked factors are listed but greyed out.
- Criteria: greater (>), greater or equal (≥), equal (=), smaller or equal (≤), smaller (<) or between two values.
- Value: depends on the factor.
- Momentum and Trend are signals from −1 to +1, picked as −100 to +100 in steps of 25.
- Mean Reversion is a z-score of price against its 250-day mean, picked in σ from −3 to +3.
- Everything else is a number you type. The line under the box shows the latest reading and its typical range over the last 10 years.
Add several filters to combine conditions; a period must pass every one. Narrow the window with the From/To dates or the 1Y / 5Y / 10Y / MAX buttons; Clear resets filters and dates.
Return statistics
- Unfiltered vs Filtered: all periods vs matching periods.
- Average return, Std dev and Sharpe are annualised (252 days, 52 weeks, 12 months, 6 two-month periods, 4 quarters).
- Maximum drawdown compounds non-overlapping periods; in the Filtered column it assumes you held only while the condition was true.
- Min, 25th percentile, median, 75th percentile and max are per period, not annualised.