Screenshot 26 7 2026 232718 hormuz.group How to Read Iran’s Industries with Hormuz
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⁦How to Read Iran’s Industries with Hormuz⁩

⁦An industry can be visible in the stock market without being well understood in the real economy⁩.

⁦Market capitalization may show where listed value is concentrated⁩, ⁦but not where production takes place⁩. ⁦Heavy trading may signal rising attention⁩, ⁦but not whether anything fundamental has changed⁩. ⁦A map of companies may reveal geographic concentration⁩, ⁦yet say little about liquidity⁩, ⁦valuation or investor behaviour⁩.

⁦The Hormuz Industries workspace brings these layers together through two complementary views⁩:

⁦Industry Pulse⁩ ⁦shows how Iran’s listed industries are being valued⁩, ⁦traded and followed by domestic investors⁩.

⁦Industry Map⁩ ⁦shows where those industries operate and how they connect to companies⁩, ⁦infrastructure⁩, ⁦product chains and Market Cases⁩.

⁦One reads the industry through the capital market⁩. ⁦The other reads it through the operating economy⁩.

⁦The purpose is not to treat market activity as proof of industrial strength⁩. ⁦It is to move from signal to structure⁩, ⁦and from structure to a clearer decision⁩.

⁦Choosing the right view⁩

⁦Use⁩ ⁦Industry Pulse⁩ ⁦when the question concerns the listed market⁩:

  • ⁦Which industries hold the greatest listed value⁩?
  • ⁦Where is liquidity concentrated⁩?
  • ⁦Which groups are trading above their normal level⁩?
  • ⁦Where are individual investors buying or selling⁩?
  • ⁦Is an industry large but relatively inactive⁩?
  • ⁦Is current attention unusual only in the short term⁩, ⁦or also against a longer history⁩?

⁦Use⁩ ⁦Industry Map⁩ ⁦when the question concerns operating reality⁩:

  • ⁦Where is the industry concentrated⁩?
  • ⁦Which companies are connected to it⁩?
  • ⁦What infrastructure supports it⁩?
  • ⁦Which provinces and product chains matter⁩?
  • ⁦Are there specific Market Cases that show how the industry works in practice⁩?

⁦The two views answer different questions⁩. ⁦A strong market signal does not automatically imply a strong industry thesis⁩, ⁦and a strategically important industry may have limited representation on the exchange⁩.

⁦Industry Pulse⁩: ⁦reading the listed side of an industry⁩

⁦Industry Pulse organises the latest synchronized market data into industry groups⁩.

⁦It brings together listed market value⁩, ⁦daily trading⁩, ⁦activity against recent norms and net individual-investor flow⁩. ⁦Values can be viewed in IRR or USD⁩, ⁦using the same shared Hormuz Market Data Hub rate applied across the platform⁩.

⁦The Pulse is best read as a view of the listed portion of an industry⁩. ⁦It does not measure the full size⁩, ⁦output or productive capacity of that industry⁩.

⁦Listed market value⁩

⁦Listed market value is the combined capitalization of the companies included in each covered group⁩.

⁦It shows where visible public-equity value is concentrated and which industries have the greatest weight in Iran’s listed market⁩.

⁦This is useful for comparing sector scale⁩, ⁦understanding which groups influence the broader index and identifying industries with meaningful public representation⁩.

⁦It should not be confused with total industry size⁩. ⁦Private companies⁩, ⁦state-controlled assets⁩, ⁦informal activity and unlisted operators may represent a large part of the real economy without appearing in the figure⁩.

⁦The correct reading is therefore⁩:

⁦How large is this industry inside the listed market⁩?

⁦Not⁩:

⁦How large is this industry inside Iran’s economy⁩?

⁦Daily trade value⁩

⁦Daily trade value shows how much equity changed hands within each industry during the latest session⁩.

⁦Its main value is in measuring participation and liquidity⁩.

⁦A large industry with little daily trading may have substantial headline value but limited practical depth⁩. ⁦A smaller industry with heavy trading may be undergoing active repricing or unusual investor attention⁩.

⁦Daily trade value does not represent new investment in productive capacity⁩. ⁦It reflects transactions between market participants⁩.

⁦Net individual flow⁩

⁦Net individual flow measures purchases by Iranian individual-investor accounts after subtracting their sales⁩.

⁦It shows where domestic individuals were net buyers or sellers during the session⁩.

⁦The figure becomes more useful when read beside price performance and trading activity⁩.

⁦An industry may rise while individual investors are selling⁩. ⁦Another may decline while attracting net buying⁩. ⁦These differences can reveal whether price momentum and investor positioning are moving together or diverging⁩.

⁦The signal is not foreign capital flow and does not predict the next price move⁩. ⁦It is a measure of domestic positioning⁩.

⁦Activity against the 30-day norm⁩

⁦Industry Pulse compares the latest trading value of each group with its own 30-day average⁩.

⁦The headline count shows how many industries are trading at or above that recent norm⁩.

⁦This helps distinguish a broadly active market from one in which attention is concentrated in only a few groups⁩.

⁦If many industries are trading above normal⁩, ⁦participation is relatively widespread⁩. ⁦If only a small number are active⁩, ⁦the session may be driven by a specific event⁩, ⁦theme or speculative rotation⁩.

⁦Four ways to explore the Pulse⁩

⁦Industry Pulse offers several views because market size⁩, ⁦liquidity and attention are not the same thing⁩.

⁦Market Footprint⁩

⁦Market Footprint shows where listed value is concentrated⁩.

⁦Larger tiles represent industries with greater listed market capitalization⁩. ⁦Their visual treatment indicates whether trading is below⁩, ⁦near or above the recent norm⁩.

⁦This view is useful for understanding the structure of the listed market at a glance⁩.

⁦It can reveal the difference between⁩:

  • ⁦a large and active industry⁩;
  • ⁦a large but quiet industry⁩;
  • ⁦a small group receiving unusual attention⁩.

⁦The insight comes from reading size and activity together⁩.

⁦Trading Activity⁩

⁦Trading Activity reorganises the view around daily traded value rather than market capitalization⁩.

⁦Industries receiving more trading become more prominent⁩, ⁦even if their total listed value is relatively small⁩.

⁦This view helps identify⁩:

  • ⁦where liquidity was concentrated⁩;
  • ⁦which groups dominated the session⁩;
  • ⁦where sector rotation may be taking place⁩;
  • ⁦which smaller industries are attracting significant participation⁩.

⁦High trading activity is not necessarily positive⁩. ⁦Heavy turnover can occur during both accumulation and selling pressure⁩.

⁦Unusual Attention⁩

⁦Unusual Attention compares the latest session with each industry’s own recent baseline⁩.

⁦A reading of 1.0⁩× ⁦means activity is close to its 30-day average⁩. ⁦A reading of 1.5⁩× ⁦means trading is roughly 50⁩% ⁦above normal⁩. ⁦A figure below 1.0⁩× ⁦indicates quieter-than-usual activity⁩.

⁦This view is designed to answer⁩:

⁦Where is something changing⁩?

⁦It can surface smaller industries that would otherwise remain hidden inside a market-capitalization view⁩.

⁦Unusual attention is an invitation to investigate⁩, ⁦not a conclusion⁩. ⁦It does not explain whether the cause is earnings⁩, ⁦policy⁩, ⁦commodity prices⁩, ⁦currency expectations or temporary speculation⁩.

⁦All Industries⁩

⁦Treemaps are effective for showing concentration⁩, ⁦but small industries can become difficult to inspect⁩.

⁦The All Industries view presents the covered groups in a readable list⁩, ⁦making it easier to compare market value⁩, ⁦trading activity and recent performance directly⁩.

⁦It is the better view for systematic research or for examining industries that occupy only a small part of the treemap⁩.

⁦Reading an individual industry⁩

⁦Selecting an industry opens a more focused panel⁩.

⁦Depending on the available data⁩, ⁦it may show⁩:

  • ⁦listed market value⁩;
  • ⁦daily trade value⁩;
  • ⁦daily turnover⁩;
  • ⁦activity versus the 30-day norm⁩;
  • ⁦activity versus the 200-day norm⁩;
  • ⁦a connection to the corresponding Hormuz industry profile⁩.

⁦Daily turnover relates traded value to market capitalization⁩. ⁦It provides a rough indication of how actively the industry’s listed value changes hands⁩.

⁦The 30-day comparison shows whether attention has changed recently⁩.

⁦The 200-day comparison adds a longer baseline⁩. ⁦An industry can look active against the previous month while remaining ordinary against its longer history⁩. ⁦Reading both periods helps distinguish a temporary change from a genuinely exceptional event⁩.

⁦Where the listed group is mapped to the Hormuz taxonomy⁩, ⁦the panel provides a direct route into the wider industry profile⁩. ⁦This is where the market signal can be tested against operating context⁩.

⁦Industry Map⁩: ⁦seeing where the industry operates⁩

⁦Industry Map approaches the question from the opposite direction⁩.

⁦Instead of beginning with price or liquidity⁩, ⁦it begins with geography and operating relationships⁩.

⁦The map connects⁩:

  • ⁦industries⁩;
  • ⁦product chains⁩;
  • ⁦provinces⁩;
  • ⁦companies⁩;
  • ⁦infrastructure⁩;
  • ⁦Market Cases⁩.

⁦This allows users to move beyond the national industry label and inspect where activity is actually concentrated⁩.

⁦Filtering the operating landscape⁩

⁦The map can be filtered by industry⁩, ⁦product chain and province⁩.

⁦These filters can be used separately or combined⁩.

⁦A user might begin with a broad industry⁩, ⁦narrow it to a specific product chain and then focus on one province⁩. ⁦The resulting view shows the companies⁩, ⁦infrastructure and cases connected to that combination⁩.

⁦This can reveal⁩:

  • ⁦regional industrial clusters⁩;
  • ⁦concentration of operators⁩;
  • ⁦dependence on particular infrastructure⁩;
  • ⁦the relationship between production and logistics⁩;
  • ⁦gaps in the currently indexed value chain⁩.

⁦A national industry can contain very different regional realities⁩. ⁦Production⁩, ⁦processing⁩, ⁦transport and demand may be spread across separate provinces⁩. ⁦The map helps make those differences visible⁩.

⁦Search and Current Intelligence View⁩

⁦The workspace also supports direct search across companies⁩, ⁦Market Cases⁩, ⁦cities and infrastructure⁩.

⁦This is useful when the user already knows an entity and wants to understand the surrounding context⁩.

⁦Rather than opening a company as an isolated profile⁩, ⁦the map can show the province⁩, ⁦infrastructure⁩, ⁦product chains and cases connected to it⁩.

⁦The Current Intelligence View summarises the active selection and shows the number of matched entities and mapped locations⁩.

⁦These figures describe Hormuz’s current coverage⁩. ⁦They should not be read as a complete census of every Iranian company or asset⁩.

⁦The three map layers⁩

⁦The map separates Companies⁩, ⁦Infrastructure and Market Cases so that each can be inspected independently⁩.

⁦Companies⁩

⁦Company markers represent indexed producers⁩, ⁦operators⁩, ⁦suppliers⁩, ⁦service providers and other commercial participants⁩.

⁦This layer can help users⁩:

  • ⁦identify potential counterparties⁩;
  • ⁦locate operating clusters⁩;
  • ⁦find producers and suppliers⁩;
  • ⁦understand where visible commercial capacity is concentrated⁩;
  • ⁦continue into individual company profiles⁩.

⁦A marker confirms a connection inside the Hormuz graph⁩. ⁦It does not by itself verify current capacity⁩, ⁦product quality or counterparty reliability⁩.

⁦Infrastructure⁩

⁦Infrastructure markers show the physical systems that support or constrain the industry⁩.

⁦These may include ports⁩, ⁦railways⁩, ⁦industrial zones⁩, ⁦energy assets⁩, ⁦logistics facilities and processing infrastructure⁩.

⁦This layer can explain why an industry is concentrated in a particular place⁩. ⁦It can also reveal dependence on a limited number of assets or corridors⁩.

⁦Infrastructure should therefore be read in two ways⁩:

  • ⁦as an enabler of industrial activity⁩;
  • ⁦as a potential source of concentration risk⁩.

⁦Market Cases⁩

⁦Market Cases provide a more concrete commercial layer⁩.

⁦They connect an anchor⁩—⁦such as a province⁩, ⁦city⁩, ⁦company or infrastructure asset⁩—⁦to an industry⁩, ⁦market⁩, ⁦product chain or challenge⁩.

⁦Their purpose is to move the user from a broad question such as⁩:

⁦Where does this industry exist⁩?

⁦to a more practical one⁩:

⁦What commercial or investment situation can be examined here⁩?

⁦Market Cases can add context around demand⁩, ⁦market access⁩, ⁦execution conditions and operating risk⁩.

⁦Connected product chains⁩

⁦The sidebar shows the product chains connected to the current view⁩.

⁦This is important because broad industry categories often contain several very different economic systems⁩.

⁦Mining and Metals may include iron ore⁩, ⁦steel⁩, ⁦copper⁩, ⁦aluminium and cement⁩.

⁦Energy may include crude oil⁩, ⁦refined petroleum products⁩, ⁦gas⁩, ⁦petrochemicals and electricity⁩.

⁦Agriculture and Food may span production⁩, ⁦processing⁩, ⁦packaging⁩, ⁦cold storage and consumer distribution⁩.

⁦The product-chain layer helps reveal⁩:

  • ⁦which products dominate an industry or province⁩;
  • ⁦whether activity is concentrated upstream or downstream⁩;
  • ⁦which companies and infrastructure connect the chain⁩;
  • ⁦where potential gaps may exist⁩.

⁦It turns a broad industry label into a more precise operating question⁩.

⁦Reading locations correctly⁩

⁦Not every indexed entity has a precise public coordinate⁩.

⁦Hormuz therefore uses the best available geographic relationship⁩, ⁦which may come from a company⁩, ⁦city⁩, ⁦infrastructure asset or broader province assignment⁩.

⁦The legend distinguishes these location types⁩.

⁦A province fallback should be interpreted as an association with that province⁩, ⁦not as the exact location of a factory⁩, ⁦office or asset⁩.

⁦The map aims to preserve useful coverage without creating false precision⁩.

⁦Using both views together⁩

⁦The strongest use of the Industries workspace comes from moving between the Pulse and the Map⁩.

⁦Suppose an industry appears among the unusual-attention leaders⁩.

⁦A disciplined reading would be⁩:

  1. ⁦Open the industry detail⁩.
  2. ⁦Compare market value with daily trade value⁩.
  3. ⁦Review activity against both the 30-day and 200-day norms⁩.
  4. ⁦Check whether individual investors were net buyers or sellers⁩.
  5. ⁦Open the connected Hormuz industry profile⁩.
  6. ⁦Move to Industry Map⁩.
  7. ⁦Inspect companies⁩, ⁦infrastructure and product chains⁩.
  8. ⁦Review relevant Market Cases⁩.
  9. ⁦Identify possible explanations for the market signal⁩.
  10. ⁦Define what still requires verification⁩.

⁦This sequence separates three questions that are often confused⁩:

  • ⁦What is the listed market doing⁩?
  • ⁦What exists in the operating economy⁩?
  • ⁦What does either of them mean for a real decision⁩?

⁦Who can use the workspace⁩?

⁦An investor can use Industry Pulse to compare listed scale⁩, ⁦liquidity⁩, ⁦attention and domestic positioning⁩, ⁦then use Industry Map to test whether the industry has visible operating depth⁩.

⁦A market entrant can begin with the Map to identify regions⁩, ⁦companies⁩, ⁦infrastructure and product chains⁩, ⁦then use the Pulse to understand how the listed part of the industry is currently being valued and traded⁩.

⁦A supplier or buyer can use the map to narrow potential counterparties and understand geographic or logistical dependencies before moving into deeper verification⁩.

⁦An analyst can use unusual attention as an early signal and then test it against operating structure⁩, ⁦connected cases and longer-term activity⁩.

⁦In each case⁩, ⁦the workspace narrows the research question⁩. ⁦It does not replace due diligence⁩.

⁦Why the English and USD layers matter⁩

⁦Iranian industrial information is usually fragmented across Persian-language market systems⁩, ⁦company records⁩, ⁦regional reports and separate geographic sources⁩.

⁦Hormuz brings the market and operating layers into one English-language workflow and applies a consistent USD reference to current listed-market values⁩.

⁦A careful positioning statement is⁩:

⁦To our knowledge⁩, ⁦Hormuz is the first public English-language platform to combine current Iranian listed-industry capital⁩, ⁦liquidity and attention signals⁩, ⁦synchronized USD values⁩, ⁦and a connected map of companies⁩, ⁦infrastructure⁩, ⁦product chains and Market Cases in one workspace⁩.

⁦The claim concerns the combination of these layers⁩, ⁦not the existence of every individual dataset⁩.

⁦What the workspace does not claim⁩

⁦Industry Pulse does not measure the full economic size or productive strength of an industry⁩.

⁦Industry Map does not contain every company⁩, ⁦asset or exact coordinate⁩.

⁦High trading activity does not prove strong fundamentals⁩.

⁦Unusual attention does not predict future returns⁩.

⁦Infrastructure proximity does not guarantee access or available capacity⁩.

⁦A mapped company is not automatically a verified counterparty⁩.

⁦These limitations matter because the purpose of the workspace is not to create false certainty⁩. ⁦It is to organise the evidence clearly enough that the next question becomes easier to identify⁩.

⁦From signal to structure⁩

⁦Industry Pulse shows where listed value⁩, ⁦liquidity and attention are moving⁩.

⁦Industry Map shows what sits behind the industry⁩: ⁦companies⁩, ⁦locations⁩, ⁦infrastructure⁩, ⁦product chains and commercial cases⁩.

⁦One can identify where to look⁩. ⁦The other can help explain what exists there⁩.

⁦That is the central logic of the Hormuz Industries workspace⁩:

⁦Read the market signal⁩, ⁦inspect the operating structure⁩, ⁦and only then decide what the industry may mean⁩.

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