^FTAI

133.49

▲ +1.79%

Stock Index

FTSE AIM All-Share

Index Symbol: ^FTAI

Total Market Capitalization (USD): $83.40 Billion

format_list_bulleted FTSE AIM All-Share Companies List

FTSE AIM All-Share Data & Tools

FTSE AIM All-Share Index - 1 Year Evolution

1 Year Return

▲ +184.63%

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Daily close values, with moving averages and volumes
Moving averages:

  • — EMA20
  • — SMA50
  • — SMA200

FTSE AIM All-Share Index Description

Top 1-year algo backtest: +265.99%

$10,000 in October 2023 would now be $36,599 by following this algorithm daily at market close.

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FTSE AIM All-Share Index Data

Open 129.37
High 135.12
Low 128.66
Close 133.49
Volume 2,518,600
Previous Close 131.14
1-Day Change 2.35
1-Year Change 86.59
Average Daily Volume 1,070,640
52-Week High 174.96
52-Week Low 44.75

Top 10 FTSE AIM All-Share Companies by Market Cap as of July 1, 2024

Company Stock(s) Sector Industry Market Cap (USD)
Jet2 plc JET2 Consumer Discretionary Travel Services $3.56 B
HUTCHMED Ltd. HCM Healthcare Biotechnology $2.87 B
Burford Capital Limited BUR Financials Asset Management $2.82 B
Keywords Studios plc KWS Communication Services Electronic Gaming & Multimedia $2.42 B
GlobalData plc DATA Industrials Consulting Services $2.19 B
Gamma Communications plc GAMA Communication Services Telecom Services $1.76 B
Yellow Cake plc YCA Energy Uranium $1.56 B
Fevertree Drinks plc FEVR Consumer Staples Beverages—Non-Alcoholic $1.55 B
GB Group plc GBG Technology Software—Application $1.14 B
Renew Holdings plc RNWH Industrials Engineering & Construction $1.09 B
format_list_bulleted List of all FTSE AIM All-Share companies

Top 10 FTSE AIM All-Share Companies Concentration by Market Cap

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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.