^AIM1
3,240.67
0.00%
Stock Index
FTSE AIM 100
Index Symbol: ^AIM1
Total Market Capitalization (USD): $69.85 Billion
FTSE AIM 100 Data & Tools
FTSE AIM 100 Index - 1 Year Evolution
1 Year Return
▼ -11.51%
Daily close values, with moving averages and volumes
Moving averages:
- — EMA20
- — SMA50
- — SMA200
FTSE AIM 100 Index Description
Top 1-year algo backtest: +327.04%
$10,000 in March 2024 would now be $42,704 by following this algorithm daily at market close.
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FTSE AIM 100 Index Data
| Open | 3,214.80 |
| High | 3,240.67 |
| Low | 3,214.80 |
| Close | 3,240.67 |
| Volume | 0 |
| Previous Close | 3,240.67 |
| 1-Day Change | 0.00 |
| 1-Year Change | -421.47 |
| Average Daily Volume | 0 |
| 52-Week High | 3,937.12 |
| 52-Week Low | 2,997.24 |
Top 10 FTSE AIM 100 Companies by Market Cap as of Jan. 1, 2025
| Company | Stock(s) | Sector | Industry | Market Cap (USD) |
|---|---|---|---|---|
| Jet2 plc | JET2 |
Consumer Discretionary
|
Travel Services
|
$3.95 B |
| Abcam plc | ABC |
Healthcare
|
Biotechnology
|
$3.58 B
(Dec. 1, 2022) |
| Burford Capital Limited | BUR |
Financials
|
Asset Management
|
$3.00 B |
| HUTCHMED Ltd. | HCM |
Healthcare
|
Biotechnology
|
$2.43 B |
| Keywords Studios plc | KWS |
Communication Services
|
Electronic Gaming & Multimedia
|
$2.42 B
(July 1, 2024) |
| GlobalData plc | DATA |
Industrials
|
Consulting Services
|
$1.84 B |
| Breedon Group plc | BREE |
Basic Materials
|
Building Materials
|
$1.82 B |
| Secure Income REIT Ord | SIR |
Real Estate
|
REIT—Diversified
|
$1.81 B
(July 1, 2022) |
| Blue Prism Group plc | PRSM |
Technology
|
Software—Infrastructure
|
$1.66 B
(March 1, 2022) |
| Smart Metering Systems plc | SMS |
Industrials
|
Electrical Equipment & Parts
|
$1.65 B
(Jan. 1, 2024) |
Top 10 FTSE AIM 100 Companies Concentration by Market Cap
Disclaimer
All information and data available on Disfold is NOT FINANCIAL ADVICE. Invest at your own risk!
Past performance is not a guarantee of future performance. Patterns tend to repeat themselves, but they don't necessarily have to.
Successful backtests on past data do not guarantee the future success of the strategy backtested, especially as backtest overfitting may occur: when the price of a stock may fit particularly well a given trading strategy over a given period, but not necessarily outside of that period. Besides, backtests do not account for exact market conditions and may yield significantly different results in real trading practice (fees, slippage...).
Furthermore, even though Disfold strives to provide the best and most accurate data, errors can occur in Disfold's systems, or in our data providers' systems.
Please conduct your own due diligence to verify insights.