Structured Products Corp Stock Price History

KTH Stock  USD 28.72  0.22  0.77%   
Below is the normalized historical share price chart for Structured Products Corp extending back to February 13, 2001. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of Structured Products stands at 28.72, as last reported on the 20th of July, with the highest price reaching 28.72 and the lowest price hitting 28.72 during the day.
IPO Date
12th of February 2001
200 Day MA
28.9097
50 Day MA
28.413
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
If you're considering investing in Structured Stock, it is important to understand the factors that can impact its price. Structured Products is very steady at the moment. Structured Products Corp owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0365, which indicates the firm had a 0.0365 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Structured Products Corp, which you can use to evaluate the volatility of the company. Please validate Structured Products' Semi Deviation of 0.9297, coefficient of variation of 2212.7, and Risk Adjusted Performance of 0.0434 to confirm if the risk estimate we provide is consistent with the expected return of 0.0301%.
Structured Stock price history is provided at the adjusted basis, taking into account all of the recent filings.

Sharpe Ratio = 0.0365

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Estimated Market Risk

 0.82
  actual daily
7
93% of assets are more volatile

Expected Return

 0.03
  actual daily
0
Most of other assets have higher returns

Risk-Adjusted Return

 0.04
  actual daily
2
98% of assets perform better
Based on monthly moving average Structured Products is performing at about 2% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Structured Products by adding it to a well-diversified portfolio.

Structured Products Stock Price History Chart

There are several ways to analyze Structured Stock price data. The simplest method is using a basic Structured candlestick price chart, which shows Structured Products price history and the buying and selling dynamics of a specified period. Many traders also use subjective judgment to their trading calls, avoiding the need to trade based on technical analysis.
Highest PriceJune 2, 202529.5
Lowest PriceMay 14, 202528.1

Structured Products July 20, 2025 Stock Price Synopsis

Various analyses of Structured Products' daily price changes, such as its Balance Of Power or Price Action, are crucial when deciding whether to buy, hold, or sell Structured Stock. It can be used to describe the percentage change in the price of Structured Products from one trading day to the next and could be a valuable metric for traders and investors to gauge the volatility and momentum of Structured Stock.
Structured Products Price Action Indicator 0.11 
Structured Products Price Rate Of Daily Change 1.01 

Structured Products July 20, 2025 Stock Price Analysis

When benchmark price declines in a down market, there may be an uptick in Structured Stock price where buyers come in believing the asset is cheap or selling overdone. The opposite is true when the market is bullish. You can use Structured Products intraday prices and daily technical indicators to check the level of noise trading in Structured Stock and then apply it to test your longer-term investment strategies against Structured.

Structured Stock Price History Data

The price series of Structured Products for the period between Mon, Apr 21, 2025 and Sun, Jul 20, 2025 has a statistical range of 1.73 with a coefficient of variation of 0.85. The daily prices for the period are spread out with arithmetic mean of 28.37. The median price for the last 90 days is 28.38. The company issued dividends to stockholders on 2025-04-30.
OpenHighLowCloseVolume
07/20/2025
 28.72  28.72  28.72  28.72 
07/18/2025 28.72  28.72  28.72  28.72  99.00 
07/17/2025
 28.72  28.72  28.72  28.72  328.00 
07/16/2025
 28.32  28.50  28.32  28.50  200.00 
07/15/2025
 28.48  28.50  28.26  28.50  2,200 
07/14/2025
 28.61  28.61  28.50  28.50  870.00 
07/11/2025
 28.15  28.15  28.15  28.15  238.00 
07/10/2025
 28.70  28.70  28.02  28.15  1,034 
07/09/2025
 28.56  28.56  28.56  28.56  335.00 
07/08/2025
 28.56  28.56  28.56  28.56  140.00 
07/07/2025
 28.20  28.50  28.20  28.50  800.00 
07/03/2025
 28.38  28.78  28.22  28.78  853.00 
07/02/2025
 28.45  28.45  28.42  28.42  363.00 
07/01/2025
 28.38  28.38  28.38  28.38  1.00 
06/30/2025
 28.38  28.38  28.38  28.38  56.00 
06/27/2025
 28.38  28.38  28.38  28.38  100.00 
06/26/2025
 28.34  28.34  28.34  28.34  200.00 
06/25/2025
 28.43  28.45  28.28  28.44  2,441 
06/24/2025
 28.17  28.50  28.07  28.50  3,462 
06/23/2025
 28.48  28.48  28.48  28.48  500.00 
06/20/2025
 28.60  28.60  28.60  28.60  966.00 
06/18/2025
 28.35  28.35  28.20  28.20  738.00 
06/17/2025
 28.48  28.48  28.48  28.48  270.00 
06/16/2025
 28.69  28.69  28.08  28.40  3,000 
06/13/2025
 28.46  28.46  28.46  28.46  212.00 
06/12/2025
 28.47  28.47  28.47  28.47  40.00 
06/11/2025
 28.47  28.47  28.47  28.47  217.00 
06/10/2025
 28.45  28.45  28.45  28.45  144.00 
06/09/2025
 28.52  28.52  28.52  28.52  1.00 
06/06/2025
 28.63  28.63  28.52  28.52  1,164 
06/05/2025
 28.50  28.50  28.50  28.50  1.00 
06/04/2025
 28.50  28.50  28.50  28.50  16.00 
06/03/2025
 28.90  28.90  28.50  28.50  693.00 
06/02/2025
 28.25  29.50  28.25  29.50  1,854 
05/30/2025
 28.16  28.41  28.04  28.41  518.00 
05/29/2025
 28.31  28.31  28.31  28.31  470.00 
05/28/2025
 28.46  28.46  28.31  28.46  964.00 
05/27/2025
 28.15  28.25  28.14  28.14  1,248 
05/23/2025
 28.32  28.46  28.32  28.40  955.00 
05/22/2025
 28.26  28.31  28.26  28.31  1,607 
05/21/2025
 28.09  28.19  28.09  28.19  888.00 
05/20/2025
 28.29  28.30  28.11  28.15  1,800 
05/19/2025
 28.22  28.24  28.22  28.24  785.00 
05/16/2025
 28.11  28.22  28.11  28.22  1,132 
05/15/2025
 28.18  28.18  28.18  28.18  177.00 
05/14/2025
 28.10  28.10  28.09  28.10  1,200 
05/13/2025
 28.22  28.22  28.22  28.22  167.00 
05/12/2025
 28.11  28.30  28.11  28.27  800.00 
05/09/2025
 28.20  28.31  28.11  28.11  1,476 
05/08/2025
 28.22  28.22  28.22  28.22  100.00 
05/07/2025
 28.19  28.19  28.19  28.19  131.00 
05/06/2025
 28.25  28.37  28.25  28.37  304.00 
05/05/2025
 28.46  28.46  28.46  28.46  191.00 
05/02/2025
 28.31  28.40  28.12  28.40  4,397 
05/01/2025
 28.15  28.31  28.15  28.16  414.00 
04/30/2025
 28.44  28.44  28.09  28.13  1,440 
04/29/2025
 28.25  28.25  28.25  28.25  566.00 
04/28/2025
 28.32  28.32  28.07  28.30  2,061 
04/25/2025
 28.17  28.17  28.17  28.17  119.00 
04/24/2025
 28.30  28.30  28.17  28.17  1,330 
04/23/2025
 28.22  28.22  28.22  28.22  160.00 

About Structured Products Stock history

Structured Products investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Structured is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Structured Products Corp will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Structured Products stock prices may prove useful in developing a viable investing in Structured Products

Structured Products Stock Technical Analysis

Structured Products technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
A focus of Structured Products technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Structured Products trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

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Structured Products Technical and Predictive Indicators

Predictive indicators are helping investors to find signals for Structured Products' price direction in advance. Along with the technical and fundamental analysis of Structured Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Structured to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.

Complementary Tools for Structured Stock analysis

When running Structured Products' price analysis, check to measure Structured Products' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Structured Products is operating at the current time. Most of Structured Products' value examination focuses on studying past and present price action to predict the probability of Structured Products' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Structured Products' price. Additionally, you may evaluate how the addition of Structured Products to your portfolios can decrease your overall portfolio volatility.
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