S&P/TSX Composite Index - 1 Year Evolution

1 Year Return

▲ +10.68%

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

  • EMA20
  • SMA50
  • SMA200

S&P/TSX Composite Index Description

Top 1-year algo backtest: +313.24%

$10,000 in May 2023 would now be $41,324 by following this algorithm daily at market close.

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S&P/TSX Composite Index Data

Open 22,326.00
High 22,468.60
Low 22,301.10
Close 22,465.40
Volume 243,629,500
Previous Close 22,299.80
1-Day Change 165.60
1-Year Change 2168.30
Average Daily Volume 211,538,390
52-Week High 22,465.40
52-Week Low 18,737.40

S&P/TSX Composite index trading signals - May 17, 2024 close

trending_up

Index [Trending Up]

Position to Moving Averages Cross Moving Averages Positions Support / Resistance
Trading signals of S&P/TSX Composite 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 22467.02
+0.75%
20598.88
±913.15
0.04%
±0.70%
11 11 128 1.33
±0.58%
. 126 115 96 22156.61
-1.38%
None
1Y-High

Top 10 S&P/TSX Composite 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.