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FTAD
+0.46 · +7.39%
£6.66 · LSE
SPDR® FTSE UK All Share UCITS ETF GBP (Dist) | UK Large-Cap Equity
State Street Global Advisors Europe Limited · Ireland
AUM:£124.8M
#– of – in UK Large-Cap Equity ETFs
ℹ️
Reward Rating
69
Good
24.98% 1Y return
ℹ️
Risk Rating
46
Moderate
Risk Assessment
ℹ️

Educational tool only – Scores are based on historical data, holdings and expense metrics for informational purposes. This is not financial advice or a recommendation to buy or sell any security. Always conduct your own research or consult a qualified financial adviser.

Market Performance

📈 Up 25.0% over the past year, reflecting strong price momentum.

Cost Efficiency

💰 Ongoing charge of 0.20% — competitive for the exposure provided.

What is FTAD?

SPDR® FTSE UK All Share UCITS ETF GBP (Dist) tracks Morningstar UK All Cap TME NR GBP, providing diversified exposure across 50 holdings. Its ongoing charge is 0.20%.

Performance Highlights

Investment Breakdown

Strong Recent Performance
FTAD delivered 25.0% over the past year. Historical returns only — past performance is not indicative of future results.
Competitive Ongoing Charge
Ongoing charge of 0.20% — reasonable for the index exposure provided.
Moderate Concentration
Top 10 holdings make up 41.5% of the ETF — a moderate level of name concentration.

Openbook Analysis

Performance: Good (69)

The scoring profile reflects moderate historical performance, with a 25.0% 1-year return (historical). The ongoing charge of 0.20% is reasonable for this exposure. Risk indicators are moderate, in line with typical market exposure (historical).

For informational and educational purposes only. Not financial advice. Past performance is not indicative of future results.

ETF Information
AUM£124.8M
Ongoing Charge0.20%
Dividend Yield3.51%
Holdings50
Inception DateApr 2018
DomicileIreland
DistributionHalf-yearly
IndexMorningstar UK All Cap TME NR GBP
ProviderState Street Global Advisors Europe Limited
Beta–
CategoryUK Large-Cap Equity
CurrencyGBP
Portfolio Impact

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6168
+7 points · better diversified
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Uses ISF.L (iShares FTSE 100 ETF)
Indicators

Performance Metrics

Historical returns

6M
+7.6%
1Y
+18.4%
3Y
+36.3%
5Y
+38.6%
OpenBook InsightIf you had invested £10,000 in FTAD 5 years ago, it would have grown to £13,862 — a gain of £3,862.

Annual Returns

Calendar year performance

FTAD delivered positive returns in 4 of the last 5 calendar years.
YearFTAD
2026 YTD+5.1%
2025+18.2%
2024+5.4%
2023+3.0%
2022-4.6%
CAGR 4yr+5.2%
4/5 positive yearsAvg return: +5.4%Worst year: -4.6% (2022)

Technical Analysis Summary

Automated insights from historical price action and indicators

Technical Regime: MIXED
Trend Strength
100%
Positive
Volatility
13.8%
Low
Momentum
-0.9%
30-day change
Support Level
6.60
Key floor
Key Insights
  • Price is currently trading above all key moving averages.
  • Price is consolidating, with low momentum over the recent period.
  • Low volatility environment with a narrower recent trading range.

Reward Rating Breakdown

Our reward rating analyses FTAD's attractiveness using 4 weighted factors. Each factor is scored 0-100, then combined using the weights shown below. Past performance does not guarantee future results.

Overall Reward Rating
69
Good REWARD
Data Coverage: %
Factor Framework
Performance
Has the ETF delivered strong historical returns versus similar ETFs?
Cost Efficiency
Is the ETF cheap to own over long periods?
Income
Does it provide attractive and consistent distributions?
Diversification Quality
Does it spread exposure across holdings, sectors, and regions?

📈 Performance

Weight: 30%
68/100

Has the ETF delivered strong historical returns versus similar ETFs? Combines 1/3/5/10-year returns with the Sharpe ratio (risk-adjusted return).

1Y Return
24.98%
Very Good
3Y Return
13.76%
Very Good
5Y Return
12.47%
Very Good
10Y Return
0.00%
Weak
Sharpe Ratio
—
No Data

Solid historical performance: 1-year return of 24.98%, 3-year annualised 13.76%, 5-year annualised 12.47%. Past performance is not indicative of future results.

💰 Cost Efficiency

Weight: 30%
85/100

Is the ETF cheap to own over long periods? Low ongoing charges compound into meaningful additional returns over a 10-year horizon.

Ongoing Charge
0.20%
Good
Net Expense Ratio
0.00%
Very Good
Annual Turnover
0.07%
Very Good
Tracking Difference
—
No Data

Low-cost and efficient structure: ongoing charge of 0.20%, net expense ratio of 0.00%, annual turnover of 0.1%.

💵 Income

Weight: 15%
80/100

Does the ETF provide attractive and consistent distributions? Combines the current yield with distribution frequency.

Distribution Yield
3.51%
Good
Distribution Frequency
Half-yearly
No Data

Attractive income profile: distribution yield of 3.51%, half-yearly distributions.

🌐 Diversification Quality

Weight: 25%
44/100

Does the ETF spread exposure across many holdings, sectors, and regions? Concentrated funds can be doing exactly what they're meant to do — treat the score as context, not a verdict.

Holdings
50
Weak
Top 10 Concentration
41.47%
Weak
Top Sector
Financial Services24.2%
Neutral
Top Region
United Kingdom93.8%
Very Weak

Concentrated but typical for its category: 50 holdings, top 10 at 41.5%, Financial Services sector at 24.2%, United Kingdom at 93.8%.

Scores are derived from fund-provider disclosures and historical data. For informational and educational purposes only — not investment advice. Past performance is not indicative of future results.

Risk Rating Breakdown

Our risk rating analyses FTAD using 4 weighted factors. A higher score indicates higher risk. This is a framework for understanding exposure — concentrated funds can still be doing exactly what they're meant to do.

Overall Risk Rating
46
Moderate RISK
Data Coverage: 83%
Factor Framework
Holdings Concentration
How much of the fund sits in its largest positions? Few dominant names mean returns ride on those companies.
Market Exposure
Geographic, sector and cyclical dependencies. High single-country or single-sector weight increases macro sensitivity.
Volatility
Historical price movement, beta and drawdowns — how sharply the fund moves relative to the market.
Income Reliability
How dependable the distribution yield is — cyclical-sector dependency and unusually high yields can flag payout risk.

🎯 Holdings Concentration

Weight: 25%
48/100

How much of the fund sits in a small number of positions? If the top holdings dominate, returns will be driven by those specific companies rather than the broader index.

Top 10 Weight
41.47%
Moderate
Largest Holding
7.81%
Moderate
Number of Holdings
50
Moderate
HHI (weight²)
209
Low Risk

Reasonable spread across positions: top 10 holdings at 41.5%, largest single position at 7.81%, 50 total holdings.

🌍 Market Exposure

Weight: 25%
68/100

How dependent is the fund on a single country, sector or economic cycle? Heavy exposure to one market means a single macro event can drive most of the return.

Top Region
United Kingdom93.8%
High Risk
Top Sector
Financial Services24.2%
Moderate
Top 2 Sectors
39.21%
Moderate
Cyclical Sectors
57.85%
Elevated

Notable regional or sector dependency: United Kingdom at 93.8%, Financial Services sector at 24.2%, 57.9% in cyclical sectors.

📊 Volatility

Weight: 35%
20/100

How sharply does the fund move day-to-day and how deep have its drawdowns been? High volatility means wider return outcomes over short horizons.

1Y Volatility
8.22%
Lower Risk
Beta
—
No Data
Max Drawdown
—
No Data

Below-average volatility: 1Y volatility of 8.22% (historical).

💵 Income Reliability

Weight: 15%
67/100

How dependable is the fund's distribution yield? Heavy cyclical-sector exposure or unusually high yields can flag vulnerability to dividend cuts in a downturn.

Current Yield
3.51%
Moderate
Cyclical Sector Exposure
57.85%
Elevated
Top-Sector Dependency
Financial Services24.2%
Moderate

Income has some cyclical dependency: yield of 3.51%, 57.9% in cyclical sectors (financials, energy, materials, industrials, real estate), Financial Services sector at 24.2%.

Scores are derived from fund-provider disclosures and historical data. For informational and educational purposes only — not investment advice. Risk scoring is model-based and past data does not guarantee future results.
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