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PV Solar Cell PolySilicon Mono price index
This post is a summary of the PV Solar Cell PolySilicon – Prime for Mono price developments since 2018. The price developments are expressed as a price index in US$ prices converted at current FX rates, which are the FX rates applicable at the time the price was valid. PV Solar Cell PolySilicon Prime for Mono price index developments are calculated from multiple separate sources of data to ensure statistical accuracy.
Polysilicon, also known as polycrystalline silicon or multicrystalline silicon, is a type of silicon that is used in the production of solar cells and microelectronic devices. It is called “prime” when it is of high purity and can be used to produce solar cells with high efficiency.
Mono-crystalline silicon is another type of silicon that is used in the production of solar cells. It is made from a single crystal of silicon, which gives it high purity and efficiency. Polysilicon prime for mono solar cells refers to high-purity polysilicon that is used to produce mono-crystalline solar cells.
Solar cells are made by slicing thin wafers from a block of silicon and then coating them with a thin layer of conducting material, such as aluminum or copper. The quality of the silicon used in the production of solar cells plays a significant role in the overall efficiency of the cells. High-purity polysilicon or mono-crystalline silicon is more expensive than lower-purity silicon, but it can produce solar cells with higher efficiency and longer lifetimes.
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BusinessAnalytiq provides a database of hundreds of market & price trend data, as well as online tools to set up benchmarks and leading indicators.
Where does the data come from?
- The source of the data are exclusively public non-confidential sources. We have no access to primary data
- This the index trend of the price trend of the "product category" in general, and not a single specification of the product in particular
- The data is a combination of contract and spot pricing
- Our algorithms are set up to eliminate significant product mix impact on the reported price
- We combine public publications, import/export records, trading prices, company announcements, magazine articles, tweets, and other sources of ad-hoc public information.
- The chart shows the our best approximation of the market trend based on our algorithm interpretation of the signals
- For most indexes we have multiple sources and we focus on using statistically-correlated sources
- As a function of our automation, it is likely that recent trends will be adjusted as we discover more information. So, for example, the price trend for February 2024 will be first calculated in February 2024 and adjusted in March, April and May 2024.
- We will update the data trend as more information becomes available, and this means that recent trends will always be adjusted as we get more data available
- The algorithm will regularly revise our understanding of market trends, and indicated market trends may change
- The data is presented in US$. The UOM of measure is shown in the Index list table
- Our automated software and we do our best to create an accurate representation of the trend
Where does the data NOT come from?
- We do not purchase data from any other source and republish it.
- We will not purchase data from any other source and republish it
- We do not extrapolate trends, even for the forecast. We look for other market signals and leading indicators
What data should our company use?
- If you are making decisions driving significant share of profit, we always recommend that you buy data from the companies who invest in direct primary market access such as ICIS, amongst many others
- Our data, at best, represents an estimate of the market trend based on public information
- We have no direct access to the market, and we do not interview suppliers and customers
- Our automated analysis tools in the online software are set up to combine our data with other sources of data
- We do not recommend that you use our data for direct price mechanisms, as we may change and improve the data trends over time, including historical data
What does the quality indication in the main menu mean?
- Quality level A: Data is from a reliable and confirmed source
- Quality level B: Data is from multiple credible sources and there are no major statistical inconsistencies between them
- Quality level C: Data is from multiple credible sources and there are some statistical inconsistencies between them
- Quality level D: Data is from a single credible source, but we cannot verify the data
- Quality level E: Data is either:
- From a single source, which we consider reliable, but we cannot verify the data.
- From 2 or more sources which have some periods of contradicting trends.
- Quality level F: Data is from a single source which we consider indicatively correct, but the data is anecdotal and we cannot verify the data.
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- The information is provided on an “as is” basis with no guarantee of completeness, accuracy, usefulness, fitness for purpose or timeliness.
- By their nature, outlooks are always uncertain
How often do we update the data?
- We aim to update the data series on the 9th and 24th of each month (but we do not always make it for each chart)
- The data for the current month and recent history are fine-tuned over time.
What are we doing to improve the data?
- We are continually improving our data collection and processing methods
- Pricing data will be updated from time to time as we improve the accuracy
- We are reviewing all data sources in the first half of 2024.
- There will be continuous fine-tuning of the trend and forecast algorithm as part of that.
- The key focus in 2024 is to add many additional indexes
How can i give feedback on the data or request for new indexes
- Feel free to contact us if you have a specific request. You can reach us via the Contact us page