Sichuan Jinshi (China) Price History
002951 Stock | 6.21 0.00 0.00% |
Below is the normalized historical share price chart for Sichuan Jinshi Technology extending back to March 15, 2019. 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 Sichuan Jinshi stands at 6.21, as last reported on the 1st of February, with the highest price reaching 6.39 and the lowest price hitting 6.21 during the day.
If you're considering investing in Sichuan Stock, it is important to understand the factors that can impact its price. Sichuan Jinshi Technology owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0842, which indicates the firm had a -0.0842 % return per unit of risk over the last 3 months. Sichuan Jinshi Technology exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Sichuan Jinshi's Variance of 7.26, risk adjusted performance of 0.0045, and Coefficient Of Variation of (35,429) to confirm the risk estimate we provide.
The current year's Other Stockholder Equity is expected to grow to about 242.1 M, whereas Total Stockholder Equity is forecasted to decline to about 1.4 B. . Sichuan Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
200 Day MA 5.9339 | 50 Day MA 6.9056 | Beta 0.257 |
Sichuan |
Sharpe Ratio = -0.0842
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Cash | Small Risk | Average Risk | High Risk | Huge Risk |
Negative Returns | 002951 |
Estimated Market Risk
2.55 actual daily | 22 78% of assets are more volatile |
Expected Return
-0.21 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
-0.08 actual daily | 0 Most of other assets perform better |
Based on monthly moving average Sichuan Jinshi is not performing at its full potential. However, 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 Sichuan Jinshi by adding Sichuan Jinshi to a well-diversified portfolio.
Price Book 1.3706 | Enterprise Value Ebitda -21.4 K | Price Sales 40.1289 | Shares Float 65.6 M | Dividend Share 0.5 |
Sichuan Jinshi Stock Price History Chart
There are several ways to analyze Sichuan Stock price data. The simplest method is using a basic Sichuan candlestick price chart, which shows Sichuan Jinshi 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 Price | December 11, 2024 | 7.59 |
Lowest Price | January 27, 2025 | 6.21 |
Sichuan Jinshi February 1, 2025 Stock Price Synopsis
Various analyses of Sichuan Jinshi's daily price changes, such as its Balance Of Power or Price Action, are crucial when deciding whether to buy, hold, or sell Sichuan Stock. It can be used to describe the percentage change in the price of Sichuan Jinshi from one trading day to the next and could be a valuable metric for traders and investors to gauge the volatility and momentum of Sichuan Stock.Sichuan Jinshi Price Rate Of Daily Change | 1.00 | |
Sichuan Jinshi Price Action Indicator | (0.09) |
Sichuan Jinshi February 1, 2025 Stock Price Analysis
Sichuan Stock Price History Data
The price series of Sichuan Jinshi for the period between Sun, Nov 3, 2024 and Sat, Feb 1, 2025 has a statistical range of 1.38 with a coefficient of variation of 5.27. The prices are distributed with arithmetic mean of 6.97. The median price for the last 90 days is 6.92. The company issued dividends on 2024-10-28.Open | High | Low | Close | Volume | ||
02/01/2025 | 6.21 | 6.39 | 6.21 | 6.21 | ||
01/27/2025 | 6.21 | 6.39 | 6.21 | 6.21 | 3,074,600 | |
01/24/2025 | 6.73 | 6.79 | 6.44 | 6.54 | 3,156,400 | |
01/23/2025 | 6.69 | 6.88 | 6.67 | 6.78 | 652,800 | |
01/22/2025 | 6.75 | 6.75 | 6.43 | 6.67 | 773,700 | |
01/21/2025 | 6.83 | 6.84 | 6.66 | 6.69 | 528,300 | |
01/20/2025 | 6.98 | 6.98 | 6.79 | 6.83 | 489,500 | |
01/17/2025 | 6.81 | 6.90 | 6.73 | 6.88 | 511,908 | |
01/16/2025 | 6.64 | 6.93 | 6.64 | 6.81 | 889,600 | |
01/15/2025 | 6.67 | 6.84 | 6.62 | 6.63 | 393,900 | |
01/14/2025 | 6.58 | 6.68 | 6.44 | 6.68 | 594,100 | |
01/13/2025 | 6.65 | 6.65 | 6.37 | 6.42 | 769,300 | |
01/10/2025 | 6.81 | 6.86 | 6.65 | 6.65 | 522,300 | |
01/09/2025 | 7.09 | 7.13 | 6.80 | 6.82 | 820,400 | |
01/08/2025 | 7.15 | 7.18 | 7.03 | 7.09 | 1,043,700 | |
01/07/2025 | 7.20 | 7.23 | 7.04 | 7.22 | 2,129,300 | |
01/06/2025 | 6.65 | 6.89 | 6.65 | 6.89 | 805,200 | |
01/03/2025 | 6.66 | 6.66 | 6.43 | 6.56 | 549,212 | |
01/02/2025 | 6.61 | 6.78 | 6.42 | 6.56 | 408,373 | |
12/31/2024 | 6.86 | 6.93 | 6.65 | 6.68 | 649,600 | |
12/30/2024 | 6.54 | 6.85 | 6.52 | 6.68 | 498,500 | |
12/27/2024 | 6.43 | 6.75 | 6.42 | 6.64 | 544,100 | |
12/26/2024 | 6.46 | 6.52 | 6.42 | 6.44 | 456,800 | |
12/25/2024 | 6.78 | 6.79 | 6.42 | 6.44 | 1,400,008 | |
12/24/2024 | 6.93 | 6.93 | 6.66 | 6.76 | 785,500 | |
12/23/2024 | 7.22 | 7.28 | 6.92 | 6.92 | 1,178,480 | |
12/20/2024 | 7.36 | 7.38 | 7.25 | 7.28 | 608,489 | |
12/19/2024 | 7.45 | 7.49 | 7.34 | 7.35 | 669,379 | |
12/18/2024 | 7.47 | 7.53 | 7.40 | 7.47 | 462,100 | |
12/17/2024 | 7.50 | 7.55 | 7.38 | 7.48 | 938,638 | |
12/16/2024 | 7.37 | 7.77 | 7.37 | 7.52 | 1,030,000 | |
12/13/2024 | 7.49 | 7.52 | 7.31 | 7.47 | 1,299,000 | |
12/12/2024 | 7.60 | 7.60 | 7.45 | 7.46 | 1,505,929 | |
12/11/2024 | 7.41 | 7.61 | 7.32 | 7.59 | 2,581,600 | |
12/10/2024 | 7.36 | 7.59 | 7.36 | 7.53 | 3,344,700 | |
12/09/2024 | 6.92 | 7.23 | 6.87 | 7.23 | 2,541,456 | |
12/06/2024 | 6.91 | 6.92 | 6.79 | 6.89 | 660,688 | |
12/05/2024 | 6.84 | 7.01 | 6.51 | 6.90 | 2,190,282 | |
12/04/2024 | 7.05 | 7.05 | 6.82 | 6.84 | 539,900 | |
12/03/2024 | 7.08 | 7.12 | 6.90 | 6.98 | 810,856 | |
12/02/2024 | 7.17 | 7.20 | 7.05 | 7.14 | 805,782 | |
11/29/2024 | 7.06 | 7.15 | 6.97 | 7.13 | 921,000 | |
11/28/2024 | 7.00 | 7.07 | 6.99 | 7.05 | 454,632 | |
11/27/2024 | 7.10 | 7.16 | 6.76 | 6.99 | 630,700 | |
11/26/2024 | 6.98 | 7.17 | 6.95 | 7.09 | 691,408 | |
11/25/2024 | 7.02 | 7.02 | 6.88 | 6.98 | 617,900 | |
11/22/2024 | 7.06 | 7.16 | 6.88 | 6.91 | 661,300 | |
11/21/2024 | 7.03 | 7.15 | 7.00 | 7.06 | 695,400 | |
11/20/2024 | 6.93 | 7.09 | 6.81 | 7.03 | 824,400 | |
11/19/2024 | 7.10 | 7.10 | 6.77 | 6.90 | 1,329,439 | |
11/18/2024 | 7.48 | 7.50 | 7.13 | 7.13 | 1,443,000 | |
11/15/2024 | 7.39 | 7.63 | 7.39 | 7.51 | 1,932,500 | |
11/14/2024 | 7.39 | 7.39 | 7.26 | 7.39 | 1,675,300 | |
11/13/2024 | 7.45 | 7.45 | 7.02 | 7.04 | 2,056,200 | |
11/12/2024 | 7.45 | 7.60 | 7.33 | 7.39 | 1,026,600 | |
11/11/2024 | 7.52 | 7.52 | 7.31 | 7.40 | 1,128,632 | |
11/08/2024 | 7.54 | 7.59 | 7.36 | 7.54 | 922,332 | |
11/07/2024 | 7.36 | 7.54 | 7.29 | 7.54 | 1,424,200 | |
11/06/2024 | 7.29 | 7.40 | 7.16 | 7.36 | 1,387,200 | |
11/05/2024 | 7.34 | 7.57 | 7.23 | 7.28 | 2,196,781 | |
11/04/2024 | 6.96 | 7.22 | 6.93 | 7.22 | 1,930,331 |
About Sichuan Jinshi Stock history
Sichuan Jinshi 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 Sichuan is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Sichuan Jinshi Technology 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 Sichuan Jinshi stock prices may prove useful in developing a viable investing in Sichuan Jinshi
Last Reported | Projected for Next Year | ||
Common Stock Shares Outstanding | 465.8 M | 431.4 M | |
Net Loss | -32.9 M | -31.3 M |
Sichuan Jinshi Quarterly Net Working Capital |
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Sichuan Jinshi Stock Technical Analysis
Sichuan Jinshi 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.
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Sichuan Jinshi Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Sichuan Jinshi's price direction in advance. Along with the technical and fundamental analysis of Sichuan Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Sichuan 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.
Risk Adjusted Performance | 0.0045 | |||
Jensen Alpha | (0.01) | |||
Total Risk Alpha | (0.24) | |||
Treynor Ratio | 0.4391 |
Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
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When running Sichuan Jinshi's price analysis, check to measure Sichuan Jinshi's 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 Sichuan Jinshi is operating at the current time. Most of Sichuan Jinshi's value examination focuses on studying past and present price action to predict the probability of Sichuan Jinshi's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sichuan Jinshi's price. Additionally, you may evaluate how the addition of Sichuan Jinshi to your portfolios can decrease your overall portfolio volatility.
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