fbpx

journal

Search
Close this search box.
Search
Close this search box.

History shows that the market hasn’t been kind at the thousand level markers

S&P 500 is about to hit the 4,000 price market.

Based on historical data, the equities market has not been kind to traders and investors whenever the S&P 500 encounters the thousand level marker. History has shown that there have been mid- to long term consolidation phases at the S&P 500 1000, 2000 and 3000 price levels.

S&P 500 | AlgoMerchant
S&P 500 index

TAKEAWAY

  • The S&P 500 thousand level markers have historically behaved like a magnet based on the 1,000, 2,000 and 3,000 price levels.
  • We can expect significant market volatility in the days ahead.
  • Significant market volatility presents numerous trading opportunities for all our A.I. robots because drawdowns create volatility and opportunities for securities mispricings. These mispriced events create high reward to risk opportunities for our pattern recognition A.I. robots to exploit.

Key Statistics for S&P 500 1,000 price level

S&P 500 index, 1000 price level | AlgoMerchant
S&P 500 index, 1000 price level
Details
1998-01-26 to 2009-08-31
Days Duration
4,228 days
Max Return above 2,000 price level
+57.8%
Max drawdown below 2,000 price level
-33.11%
Number of times when price closed above 1,000 price level
only to revisit the level again (Weekly Candle)
8

Key Statistics for S&P 500 2,000 price level

S&P 500 index, 2000 price level | AlgoMerchant
S&P 500 index, 1000 price level
Details
2014-08-25 to 2016-06-27
Days Duration
672 days
Max Return above 2,000 price level
+6.79%
Max drawdown below 2,000 price level
-9.48%
Number of times when price closed above 1,000 price level
only to revisit the level again (Weekly Candle)
12

Key Statistics for S&P 500 3,000 price level

S&P 500 index, 3000 price level | AlgoMerchant
TRIDENT trades on Feb 2018
Details
2019-07-08 to 2020-06-29
Days Duration
357 days
Max Return above 2,000 price level
+13.29%
Max drawdown below 2,000 price level
-26.77%
Number of times when price closed above 1,000 price level
only to revisit the level again (Weekly Candle)
6

Conclusion

Based on the 1,000, 2,000 and 3,000 price levels, the S&P 500 thousand level markers have historically behaved like a magnet.

While the range of max returns and max drawdowns are highly variable across the 3 levels, the following trends observations can be made and applied to the S&P 500 4,000 level:

  1. Once the 4,000 price level is broken above, we can expect the 4,000 price level to be revisited again (history suggests 6-12 times).
  2. The consolidation period around the 4,000 level may be shorter than all 3 previous instances.

We can expect significant market volatility in the days ahead, which will present numerous trading opportunities for all our A.I. robots as drawdowns create volatility and opportunities for securities mispricings. These mispriced events create high reward to risk opportunities for our pattern recognition A.I. robots to exploit.

TRI-X A.I INVESTING SOLUTION REBORN SEMINAR

27 Mar 2021 10AM @ AlgoMerchant Studio

JOIN US now for live demo on our new ROBO 2.0 Technology. Witness how it can boost trading performance by manifold!

Today Artificial Intelligence has revolutionized traditional trading by solving the major problems that human traders face:
– Capability to analyze big data and generate insights from thousands of stocks
– Stress test the trading strategy
– Automated and systematic trade execution to achieve consistent results
– Removing emotions

In this event, we will reveal A.I. trading secrets and solutions that has empowered thousands of traders globally.

Share this great article:

About AlgoMerchant

AlgoMerchant is the first to empower stock investors with an artificial intelligent investing solution. We create intelligent trading algorithms by using our novel proprietary Machine Learning framework and BIG DATA processing capabilities. It employs quantitative models that utilize pattern recognition techniques to exploit market inefficiencies and generate non-correlated market returns, also known as ALPHA. The solution facilitates investors to manage their investment accounts like professionals, with no trading knowledge and complete simplicity. AlgoMerchant has a diverse team of traders, engineers and data scientists whose mission is to democratize data-driven and systematic investing. And now we are ready to serve every investors’ needs in their journey to trade.

Recent Posts

Market Outlook

Trump’s Promises Fuel Optimism, But Inflation Threatens a Costly Crash

As President-elect Trump readies for a second term, market optimism is growing, fueled by hopes for corporate tax cuts, regulatory rollbacks, and heightened infrastructure spending. However, unlike in 2016, elevated inflation could restrict the Fed’s flexibility to maintain low interest rates. The Federal Reserve remains cautious about cutting rates due to ongoing inflationary pressures.

Read More »

HEY THERE!

Don’t miss our content! Fill up the form below to receive our series of stock trading insight, monthly market outlook, and latest investing technology update directly in your inbox.