S&P/ASX 200 Index - 1 Year Evolution

1 Year Return

▲ +6.53%

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

  • EMA20
  • SMA50
  • SMA200

S&P/ASX 200 Index Description

Top 1-year algo backtest: +207.50%

$10,000 in July 2023 would now be $30,750 by following this algorithm daily at market close.

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S&P/ASX 200 Index Data

Open 7,963.70
High 7,963.70
Low 7,882.30
Close 7,887.00
Volume 119,312,454
Previous Close 7,963.70
1-Day Change -76.70
1-Year Change 483.40
Average Daily Volume 7,551,530
52-Week High 8,057.90
52-Week Low 6,772.90

S&P/ASX 200 index trading signals - July 24, 2024 close

trending_up

Index [Trending Up]

Position to Moving Averages Cross Moving Averages Positions Support / Resistance
Trading signals of S&P/ASX 200 stocks Last Close / Change 1-Year Mean / Standard Deviation 1-Year Return Mean / Standard Deviation 1. Price/EMA20
2. Price/SMA50
3. Price/SMA200
20-Day Z-Score / 20-Day StD. Golden / Death Cross 1. EMA20/SMA50
2. EMA20/SMA200
3. SMA50/SMA200
Support / Downside Resistance / Upside
Stock Index Closing
Price
1-Y Mean
StD.
1-Y Ret. Mean
StD.
Pos. to Mov. Avg. 20D Z-Score
20D StD.
Golden/Death Cross Cross Mov. Avg. Pos. Support
Downside
Resistance
Upside
trending_up Stocks Trending Up trending_down Stocks Trending Down 7959.70
-0.14%
7464.98
±323.13
0.03%
±0.68%
12 15 158 0.48
±0.61%
. 48 151 136 7905.71
-0.68%
8057.90
1.23%

Top 10 S&P/ASX 200 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.