▼ -2.05%

Stock Index

NASDAQ Composite

Index Symbol: ^IXIC

Total Market Capitalization (USD): $24.995 Trillion

NASDAQ Composite Index - 1 Year Evolution

1 Year Return

▲ +26.72%


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

  • EMA20
  • SMA50
  • SMA200

NASDAQ Composite Index Description

Common stocks and similar securities listed on the Nasdaq Stock Market are aggregated to form the Nasdaq Composite index, often simply referred to as the Nasdaq index, one of the three key indices of the US financial markets with the Dow Jones and S&P 500.

It is measured through the evolution of all the stocks and other securities quoted solely on the Nasdaq stock exchange: Common Stock, American Depositary Receipts (ADRs), Limited Partnership Interests, Ordinary Shares, Real Estate Investment Trusts (REITs), Shares of Beneficial Interest (SBIs) and Tracking Stocks.

The Nasdaq Composite (and the Nasdaq-100, which only tracks about 100 of the largest Nasdaq companies) are usually only considered to be rough benchmarks for US innovative and tech companies, not for the broader American stocks and economy, for which the S&P 500 index is generally preferred.

Top 1-year algo backtest: +298.72%

$10,000 in April 2023 would now be $39,872 by following this algorithm daily at market close.

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NASDAQ Composite Index Data

Open 15,547.10
High 15,576.70
Low 15,222.78
Close 15,282.01
Volume 5,316,010,000
Previous Close 15,601.50
1-Day Change -319.49
1-Year Change 3222.45
Average Daily Volume 4,994,248,531
52-Week High 16,442.20
52-Week Low 11,799.16

Top 10 NASDAQ Composite Companies Concentration by Market Cap



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...).

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