Market price
What buyers and sellers are trading the stock at, including any premium or discount they give the creator.
I’m Shirumi. I made this because I thought it would be fun to have a market built around the creators and stories we follow on ISEKAI ZERO.
The site uses story activity and earnings evidence to calculate a value for each creator. Players and simulated traders trade around that value, adding a premium or discount based on their own expectations.
I’ve written this guide to explain the numbers, the daily earnings reveal and how the trading works, with examples you can explore along the way.
Start with how the market works →
Thanks for stopping by. ♡Stocks, fair value, and why they don’t always agree.
Let’s look I SAW AN EARNINGS RESULTStory activity, forecasts, and the daily reveal.
Open the notes I WANT TO TRY IT MYSELFYour account, your first position, and the useful bits.
Take a peekFollow a creator’s stories, understand their earnings outlook, and learn how your orders become a position.
I made this because I wanted a way to follow ISEKAI ZERO creators beyond checking their rank. You might notice someone’s stories getting busier, see their readers returning for every release, or watch them climb the earnings leaderboard. This site brings those things together and gives you a market to trade your view of what happens next.
The creator page connects their stories with the stock you can trade.
Each creator has a stock. The site estimates how much their stories will earn over the next 30 days, and players trade around that estimate. If you think a creator is doing better than their price suggests, you can buy their stock. If your view changes later, you can sell.
Markets is where you find creators and trade. Creator profiles show their stories and activity. The overview brings together messages, new releases, news, earnings results and the wider market. Your Account page keeps your holdings and orders in one place, while player rankings show how other portfolios are doing.
You can read this guide in order, or open the chapter list and go straight to something you’ve seen on the site. Search works for words like “messages”, “earnings reveal” and “options”.
A creator’s stories are the starting point for their stock value. The algorithm looks at current messages, reader activity, story details and past earnings to estimate how much the creator will earn over the next 30 days. It brings their whole catalogue together into one estimate.
Say a creator’s stories are expected to earn $100 over the next 30 days. That $100 is the model’s calculated value for their stock. More activity, a new hit, stronger reported earnings or regular gifts can change the estimate as the site learns more about the creator.
People can look at the same creator and expect more than the model does. Perhaps their readers spend unusually well, their stories keep making a strong profit, or their fans regularly leave generous tips. You might also know they have a promising release coming that the current numbers barely reflect.
If buyers are willing to pay $150 for a stock with a calculated value of $100, they’re adding a $50 premium. That means the market values the creator 50% above the estimate because it expects more from them. Buyers and sellers trade those views through their orders.
The calculation isThe earnings estimate is $100 for the next 30 days.
The creator is expected to earn $100 over the next 30 days. Buyers willing to pay $150 are adding a $50 premium: they expect stronger earnings from the audience, the stories or continued tips than the model currently projects.
This is the extra layer you’re trading. The model gives you an earnings estimate based on the information it has. The market can give the creator more value because people see a reason for their future earnings to be stronger.
The model already uses the message and gift information the site has collected. There’s still room to disagree about what comes next: will those readers keep spending, will another story do as well, and will the unusually generous support continue?
If people expect a creator’s audience to shrink or a popular story to lose momentum, they may offer less. A $75 price against the same $100 estimate is a $25 discount, or 25% below the calculated value. It tells you the market expects a weaker future than the model currently projects.
It covers the 30 days ahead of the estimate, rather than the next calendar month. Every story in the creator’s catalogue can contribute. An old story still bringing in readers matters alongside a new release.
Both numbers can change. If the estimate rises from $100 to $120 while the stock stays at $150, the premium falls from 50% to 25%. The price is unchanged, but stronger expected earnings now support more of it.
You choose the size of your holding. Buying two units at $150 costs $300 before fees. Selling them later at $170 brings in $340 before fees, a $40 gain. You can also buy fractional units; half a unit gets half the dollar gain or loss from the same price move.
The order-book example shows how buyers’ and sellers’ opinions turn into the prices you can actually trade at.
You’ll often see a stock price, an earnings estimate and an actual earnings result near each other. They’re useful together, but they cover different things.
What buyers and sellers are trading the stock at, including any premium or discount they give the creator.
What the model expects from the creator. The stock reference covers the next 30 days; a daily forecast covers one day.
What ISEKAI ZERO reported for a completed day. These results help us understand how the creator’s activity earned.
For example, a creator earned $7 yesterday, is expected to earn $100 over the next 30 days, and has a stock trading at $150. The $7 tells you what happened yesterday. The $100 tells you what the model expects ahead. The $150 tells you what the market is willing to pay for that outlook.
Valuation compares the price with that $100 estimate. At $150, buyers pay 50% above it. At $75, they pay 25% below it. You can try changing the price here while leaving the earnings estimate alone.
With a $100 earnings estimate, a $150 stock price includes a $50 premium. Changing the price changes the premium while the estimate stays the same.
50% above estimated fair valueAt $150, traders are paying a $50 premium over the $100 calculation.
When the daily leaderboard arrives, compare yesterday’s earnings with yesterday’s forecast. A $7 daily result can beat a $5 daily forecast while the creator’s 30-day estimate is $100. Those numbers fit together once you check the period each one covers.
People play a story, its message count grows, and some of that activity produces earnings for the creator. The model learns the relationship from published earnings results, then uses it to estimate earnings for stories across the site.
The relationship varies. Two stories can have the same message count and earn different amounts, so the calculation also looks at reader or chat activity, likes, saves, comments, story age and available story features.
The stories give us a lot to work with.The site records message activity, story details and published earnings.
Those results help the model learn how different stories turn activity into income.
The story estimates and expected gift income contribute to the next-30-day value.
The model starts with the stories. It estimates their earning rate and current activity, then projects how that activity may grow or slow. Their earnings are brought together, checked against reported creator results and combined with expected gift income.
The history matters too. A story that has been busy for several days gives a different picture from one that had a very busy hour. The 30-day projection considers how long the current pace is likely to last.
A new story can still get an estimate. The model uses the details already known about it and what it has learned from other earnings examples. As the site collects more of the story’s activity and features, it has more to work with.
A fresh message count or a leaderboard result can update the forecast using the current model. Training happens separately: new earnings examples help improve what the model has learned, and a checked update replaces the active version.
The messages, readers and gifts chapter explains why some activity earns more. When forecasts change follows how that information changes the value you see.
One story can be busy and earn modestly; another can have fewer messages but earn much more. Messages tell us how much people are playing. Earnings tell us what that activity was worth to the creator.

Reader spending changes the earning rate.
Gifts and tips contribute too.
These example earnings use different learned earning rates. Messages alone don’t give a universal dollar amount.
The model learns from actual published earnings. It looks at message and chat activity, engagement, story age and the details the site knows about the story. That lets it estimate different earning rates instead of assigning every message on the site the same dollar value.
How a story is built can help explain those differences too. Its format, persistent story content, character or codex material and Functions are among the details the model can use. A feature is an input to the estimate; its presence doesn’t give every story an identical earnings boost.
If you follow a creator, you may notice that their regular readers stay for long conversations, spend consistently or turn up for each new release. Public totals don’t fully describe that relationship. You can value those readers more highly than the model currently does.
That’s one reason a stock can carry a premium. Traders may believe the creator has a stronger audience than the current estimate captures. A creator who repeatedly earns well can also give people more confidence in their next story.
Supporter gifts add another source of income. A $100 gift received today is $100 earned today. When forecasting the next 30 days, the question is how much further support the creator is likely to receive.
Regular gifts and one exceptional gift give different clues. The model uses the support it has seen to estimate how often more gifts may arrive and how large they might be. A big gift can change that view, but repeating it every day for a month would assume thirty more gifts.
So when a creator has a strong earnings day, look at where it came from. Were their stories consistently busy? Did they receive unusual support? Both matter, but they can lead to different expectations for next week.
The estimate can change whenever the site learns something new: a story gets busier, a release finds readers, gifts arrive, or the daily leaderboard tells us what the creator actually earned.
It doesn’t need to be trained again for every new message count. The active model can apply what it has already learned to the latest story activity and earnings. Training changes the relationships it has learned; a fresh observation changes the information it applies them to.
A creator’s catalogue is the starting point. In this example, two stories are expected to earn $60 and $40 over the next 30 days. A new story has its own $25 estimate. Add it below and see how the combined outlook changes.
These three stories have their own 30-day estimates. The creator’s total changes when the new release joins the catalogue.
The two existing stories contribute $100.
The live calculation also uses reported creator earnings and gifts to put the catalogue in context. A story appearing on the public leaderboard can tell us something about its creator even if the creator’s exact total isn’t published.
A sudden burst gives the model a reason to reconsider the story. If the stronger activity keeps going, there’s more reason to expect it to continue. If it fades after a few hours, the picture changes again.
The 30-day window moves forward as time passes. Earlier days become history and later days enter the forecast. That’s why today’s estimate can differ from yesterday’s even though both say “next 30 days”.
Check the price alongside the new estimate. If both rise, the stock’s premium might still shrink when the earnings estimate rises faster.
You trade the creator’s stock, so it helps to look beyond the story getting attention today. Their older stories, recent releases and regular readers all contribute to the account’s earning outlook.
The new story adds to the existing catalogue. Reported creator earnings help reconcile the combined outlook.
A release gives the creator another way to earn. Early messages and reader activity help estimate its contribution. Over the following hours and days, you can see whether the opening excitement grows into a regular audience or starts to fade.
The model can estimate a story while its history is still short. It uses the activity and details already known, then updates as more information arrives.
If the creator has a release pattern the site can learn from, the outlook may already include some expected income from future stories. When one of those stories actually arrives, its observed performance updates that expectation. The anticipated release and the same published story should count as one contribution.
A creator can keep earning without releasing something every day. Regular readers may keep playing older stories, and several moderately busy stories can add up to a strong account.
A new release can also draw readers from those stories. If the new story gains activity while the older ones slow down, the creator’s overall growth may be smaller than the new story’s message count suggests.
If a story is confirmed unavailable, its future contribution can stop until it returns. One failed read or an unsuccessful search doesn’t tell us that it has disappeared. The site needs to distinguish those cases when estimating the catalogue.
Open the creator’s stories and see which ones are bringing in activity. It’s a useful way to tell whether the stock’s outlook is supported by one hit or by the wider catalogue.
The earnings estimate gives everyone a number to start from. People then decide what they believe about that creator: whether their readers will stay, whether their next release will do well, and whether recent earnings will keep coming.
The stock’s response comes through trading. The same news can meet different expectations and liquidity.
Players and simulated traders turn those opinions into orders. Their available cash, stock holdings and prices determine how much they’re willing to buy or sell.
A buyer can accept a seller’s asking price. If more buyers keep accepting higher offers, the price can rise. Sellers accepting lower bids can move it down. The amount of stock offered near the current price affects how far an order has to go to fill.
A new forecast changes what traders know. They still have to decide how much they believe it and place orders, so the traded price can sit above or below the estimate.
Suppose a creator earns $7 after a $5 forecast. That’s a better day than expected, and traders may raise their view of future earnings. But if they were already expecting $9, the same $7 result would disappoint them.
The price can already include a lot of optimism too. A stock with a large premium may need a particularly strong result to persuade buyers to pay more. Look at the earlier expectation and the current premium alongside the earnings headline.
You trade alongside simulated participants. They have their own cash and holdings, and they don’t all see a creator the same way. That gives the market buying and selling activity while people are waiting for the next story update or earnings reveal.
“Their new story is finding readers. I expect it to keep growing.”
“I like the earnings, but this price already includes a big premium.”
“I’ll watch the orders around tonight’s reveal.”
These are example viewpoints. Each trader’s funds, holdings and orders affect what they can actually trade.
Some pay more attention to the earnings estimate. Others react more to recent price moves, the crowd or gains and losses on what they already hold. They can respond to the same news at different speeds and with different confidence.
A participant holding a lot of stock may be keen to sell some. Another may still be building a position. The participants posting bids and asks consider their inventory too, which changes how much stock is available near the current price.
A strong reveal can meet plenty of sellers in one market and very little supply in another. One creator’s growth may already be expected, while another’s result surprises people. Existing holdings and the cash left to trade also differ.
Those differences affect how orders meet and how far the price moves. A beat gives traders a reason to reconsider the creator; it doesn’t assign every stock an identical percentage gain.
A filled stock order trades with the market’s available supply and becomes a recorded transaction. A resting order adds your price and quantity for someone else to accept.
Leveraged positions use a separate book that pairs funded players. An active stock market doesn’t automatically supply the opposite player needed to open one of those contracts.
ISEKAI ZERO has a daily rhythm: readers play stories, the homepage rankings start over at midnight, and the earning leaderboard later reveals the previous day’s results. Those are different moments, and each gives us different information about a creator.
The earnings reveal is when we get to see how the day actually turned out. Until then, we’re working with message counts and estimates. This example follows a creator from their story activity to the result.

The story has reached 4,000 messages, and the model expects 6,000 by midnight. This activity contributes to its creator’s earnings estimate alongside their other stories.
The story cards show how many messages have been recorded and how many are expected by the end of the day. The earnings model uses that activity to update the creator’s outlook. Traders can watch the same stories and decide whether the price reflects what they’re seeing.
At midnight Malaysia time (00:00 MYT), the ISEKAI ZERO homepage’s daily Trending, Most Messages and Most Liked rankings reset and start counting the new day. A story that led yesterday has to build its place again from today’s activity. Its lifetime messages and likes are still there, and the stock market keeps its recorded history.
The reset starts a new daily ranking; yesterday’s earnings are revealed separately, usually later in the night. The market compares that result with the forecast saved before it was known.

Lifetime story totals and recorded market history remain.
The daily homepage rankings reset at midnight. The earning leaderboard arrives separately and reports the day that just ended.
Usually around 01:00–02:00 MYT, ISEKAI ZERO publishes the completed day’s results. The creator top ten can reveal an exact account total. The story top ten can tell us a creator earned more than expected even when they aren’t on the creator list.
Now we have something we didn’t know while those messages were coming in: how much they actually earned. The model can update its earning outlook, and traders can decide what that result means for the coming days.
The stock keeps trading around those changing expectations. A strong result might support a higher valuation; its effect depends on what people expected and how much of that strength they think will last.
“Messages today” counts the messages recorded so far. “Estimated messages today” is the expected total by the end of the day. A story can have 4,000 messages already and still be on course to finish at 6,000.
Its daily rank reflects activity from the day that is ending.
The daily count is 5,000. These messages are also part of the story’s 120,000 lifetime messages.
The same midnight reset starts a new day for Trending, Most Messages and Most Liked. These numbers demonstrate the reset for an example story.
Trending, Most Messages and Most Liked on the ISEKAI ZERO homepage start over at midnight Malaysia time. That reset applies to the daily ranking. A story’s lifetime messages and likes remain, so check whether a number describes today or the story’s whole history.
The arrow compares today’s expected finish with yesterday’s recorded total. If yesterday ended at 5,000 and today is expected to finish at 6,000, that’s 20% more. The green arrow points up. If the estimate is lower, the red arrow points down.
A new story hasn’t got a comparable yesterday. It gets a purple new-story marker and its available estimate, rather than a percentage calculated from zero.
Messages can increase because new people arrive or because existing readers play longer conversations. Reader and chat counts help describe the audience, but they don’t tell us that everyone spends the same amount.
An older story can have an enormous lifetime total and be quiet today. A new story can have a much smaller total and be growing quickly right now. That current pace matters when estimating what comes next.
This chart adds recorded message changes across the tracked catalogue. Pick a day to see its count, zoom in for a closer look or move left to read earlier days. The platform prediction counter uses the same message-counting method.
For earnings, the model takes another step: estimating how that story activity turns into revenue. That’s why a message total and a dollar estimate can tell you different things about the same story.
Every day, ISEKAI ZERO reveals its creator and story earnings top tens. It’s our chance to compare what we expected with what actually happened.
The creator earned at least this much.
The creator is absent from the complete list.
At least $1.90 above the earlier $5 forecast.
A story result and a complete creator leaderboard can prove an earnings beat, even when the account’s exact total is not published.
If a creator earned more than their forecast for that day, they beat it. If they earned less, they missed it. The site uses the forecast saved before the reveal, so the comparison keeps the expectation people had before learning the result.
Before the reveal, the creator was expected to earn $5. The leaderboard then shows they actually earned $7.
That’s $2, or 40%, above the earlier $5 forecast. The comparison is for the same completed day.

The creator list reveals account earnings. The story list reveals earnings for individual stories. A creator’s account total includes their stories, so those figures help explain one another.
A $7 result after a $5 forecast is $2 better than expected, or 40% above it. That stronger result can change the model’s view of the creator’s earnings and traders’ expectations for the coming days.
The result needs a little context. Was the creator’s catalogue busier? Did a new release take off? Did a supporter give an unusually large gift? Those can mean different things for how much they’ll earn next.
Suppose one of their stories earns $6.90. Their account has earned at least that much. If the complete creator top ten ends at $8 and they’re absent, their total can be narrowed to $6.90–$8, allowing for a tie at the cutoff.
If their earlier forecast was $5, that range already proves a beat. Read what the top ten tells us for the full example and the reveal walkthrough to see how it changes the market’s information.
When the creator’s exact total is published, it already includes their stories. We use that account total rather than adding the story results a second time.
The day ends at midnight Malaysia time (UTC+8). Its leaderboard usually arrives around 01:00–02:00 MYT, and the site compares the result with the forecast made before the reveal.
You can learn quite a lot about a creator even if they don’t make the earnings top ten. The story leaderboard tells us part of what they earned, and the creator leaderboard can tell us how high their account total could be.
The $6 story sits inside the $10 creator result. Use the creator total when it is available.
If their listed story earned $6.90, the account earned at least $6.90. If another listed story earned $0.80, those two together establish at least $7.70. Their other stories and included income may add more.
Say the complete creator top ten ends at $8 and this creator isn’t listed. Their total can’t be above that cutoff, though a tie at $8 is possible. With one $6.90 story, we can place their total between $6.90 and $8.
Against a $5 forecast, even the bottom of that range is a beat. They earned at least $1.90 more than expected, which is at least 38% above the forecast. We don’t need the exact account total to establish that much.
The model can use it to improve the creator’s earning estimate. Traders also have a reason to reconsider the stock: the account has clearly done better than the earlier forecast suggested.
The cutoff only supplies an upper bound when the creator board is complete. If part of the list failed to load, absence alone doesn’t tell us where someone ranked. A published story result still tells us the creator earned at least that story’s amount.
A $10 creator result that includes a $6 story result means the account earned $10. Adding the story again would make it $16 and count the same earnings twice. The exact account total takes precedence when it’s published.
Let’s follow a creator through a reveal. Yesterday, their saved forecast was $5. Today, one of their stories appears with $6.90 in earnings. The creator doesn’t appear in the complete creator top ten, which ends at $8.
The story leaderboard and creator cutoff put actual earnings between $6.90 and $8. How that compares with the earlier forecast decides whether we can call it a beat or a miss.
Actual earnings are at least $1.90 above the $5.00 forecast, a beat of at least 38%.
The creator earned between $6.90 and $8 yesterday, allowing for a tie at the cutoff. That’s at least $1.90 better than the $5 forecast. The story result gives us a clear beat even though the creator’s exact total isn’t shown.
The model now has a stronger earnings result to learn from. If the activity for that day is known, the result also helps explain how well those messages earned. It can revise how much the creator is expected to earn over the coming period.
Yesterday’s $6.90 isn’t added straight onto the stock price. It tells us something about earning performance, which changes the view of future earnings. The stock’s reference still covers the next 30 days.
A trader who thinks the stronger performance will last might raise their bid. Someone who sees a one-day launch burst or an unusual gift may be less convinced. Their orders meet the supply in the book and produce the next trades.
Try changing the earlier forecast in the example. At $5, the result proves a beat. Inside the $6.90–$8 range, we need the exact total to decide. Above $8, it proves a miss. The earnings are the same; what changes is how they compare with the expectation before the reveal.
The news section helps you connect what’s happening on ISEKAI ZERO with a creator’s changing outlook. You’ll see things such as new stories, earnings surprises and changes in activity. Each item names the creator so you can look at the rest of their account.

The story alone proves the account earned more than expected. The creator page shows the rest of the catalogue and how the future outlook changes.
Traders still decide how much of that stronger performance will continue. The headline supplies new information, and their orders determine the stock’s response.

A $7 result after a $5 forecast is $2 better than expected. The next question is whether the creator’s stories and readers will keep earning at that stronger pace.
A release gives the creator another story to earn from. Look at who turns up, how quickly messages grow, and whether readers stay after the opening rush. Fans may follow the creator from an older story, or the release may find a new audience.
A good day matters most when it tells us more than we already expected. If traders have been buying in anticipation of a hit, some of that success may already be in the stock’s premium. Compare the headline with the earlier forecast and the current price.
The site may discover an event after it happened upstream. Check which day an earnings result belongs to and when the item appeared here. Then open the creator’s chart and catalogue to see what was happening around it.
A headline is a useful starting point. The creator page helps you work out whether it reflects one story, the wider catalogue or a change in support from readers.
Category cards show where the counted story messages are going. They’re useful if you want to find busy kinds of stories or see which ones are driving activity.
25,000 out of 100,000 messages gives romance a 25% share.
The denominator is all messages counted in that category calculation. Whole-platform totals can cover a wider catalogue.
If the counted stories produced 100,000 messages and romance produced 25,000 of them, romance has 25% of the counted messages. The card groups stories by their recorded category. Only some of those groups are displayed, so the percentages you see needn’t add up to 100%.
A large total means plenty of activity in the stories counted. To tell whether a category is growing, compare it with an earlier period covering the same stories. To tell how much it earns, you also need the earning rate of that activity.
The category cards and the whole-platform chart can cover different groups. Market Trend and the platform prediction counter use the wider recorded catalogue. The category cards use the stories included in their category calculation.
The NTR and Female Audience indices follow up to thirty selected matching stories and combine their earnings outlooks. Those dollar totals answer how much the group is expected to earn. The category cards’ message totals answer how much conversation activity it received.
Open a leading story to find its creator, then look at their other stories and stock value. That lets you connect a busy category with the creator’s complete earning outlook.
Before comparing two numbers, check when they’re from. Today’s messages, yesterday’s earnings and the next-30-day forecast can all appear on the same page.
Compare a daily result with the forecast for that same day. Use the 30-day estimate for the forward stock value.
Daily activity follows Malaysia time, UTC+8. At 00:00 MYT, ISEKAI ZERO’s Trending, Most Messages and Most Liked daily rankings reset and begin counting again. Lifetime story totals remain. The earning leaderboard published later reports the previous day. If you’re elsewhere, this reset may happen at a different hour from your local midnight.
The update time next to story activity tells you how recent that observation is. A stock price has its own update time, because trading continues between reads from ISEKAI ZERO. Reloading the page doesn’t make an older observation new.
You can therefore see a fresh stock price beside an earlier message count. Or a new earnings estimate beside a last trade that happened before the result arrived. The dates help you understand the sequence.
Zooming changes how much history you see. Move left for older candles; the chart loads earlier pages as you approach them. Latest brings you back to the current window.
A close view helps you follow a release or reveal. A wider view helps you see whether its effect lasted. Compare the candle dates when switching between them.
Message totals come from recorded changes in story counters. A reset, source correction or incomplete read can make a period harder to measure. A missing measurement isn’t a recorded zero. The earnings model can still use the other information it has to estimate the story.
An index lets you follow a group in one chart. Here, the values are based on the group’s earnings outlook over the next 30 days.
SP groups include each selected creator’s whole catalogue. NTR and Female Audience include the selected matching stories’ own next-30-day estimates.
| Index | What’s included |
|---|---|
| All Creator Index | The combined 30-day valuations of tracked creators. Current earnings estimates are used where a traded price isn’t available. |
| SP&10 | The ten most active creators today by messages, including their whole story catalogues. |
| SP&50 | The same group idea, across fifty of today’s most active creators. |
| NTR / Female Audience | Up to thirty of the most active matching stories in each group, using those stories’ own earnings estimates. |
The All Creator Index, SP&10 and SP&50 bring together creator valuations. Where a traded valuation is available, it’s used; a current model estimate supports a creator without a quote. SP&10 and SP&50 select creators by today’s message activity and include their whole catalogues.
Two included creators valued at $100 and $200 contribute $300 together. If the second rises to $220, the group gains $20 even if the first is unchanged. Larger contributors can have more influence on the total.
NTR and Female Audience follow up to thirty of the most active matching stories. They add those stories’ own earnings estimates. The creator’s other stories stay outside that particular category total.
A creator index can rise because earnings estimates improve or because traders pay bigger premiums. Its members can change as the activity ranking changes too. Look at both the group and its valuations when a move catches your attention.
Fear & Greed gives you a quick look at how the measured creator stocks are moving together. It considers how many are rising or falling and how large those moves are.
A higher score means stronger upward movement across the group. A lower one means weaker movement. Near the middle, the picture is more mixed. Very large individual returns have a limited contribution so one extreme stock doesn’t take over the score.
Your creator can fall while the wider score is high, or rise while it’s low. Their news, activity and available buyers and sellers still matter. The score gives you the wider context around that individual market.
It’s calculated from price behaviour, rather than asking readers how they feel. For the creator’s earnings, use the forecast; for the price relative to that forecast, use Valuation.
A candle collects the prices traded during one interval. The body shows where the price started and ended. The thin wick reaches the highest and lowest prices in that interval.
Hover, tap or focus a label to see what that part means.
Close: the last recorded price in the interval.
When the close is above the open, the candle rises. When it’s below, the candle falls. Hover or tap a candle to read its date and values.
A close at $150 means the creator stock finished that interval at $150. That price is the market’s valuation of the next-30-day outlook. The creator’s actual daily earnings and the model’s estimate appear separately.
Volume shows how much traded during the interval. A move with plenty of trading can have a different context from a move through very thin supply. Shorter candle intervals show more detail; longer ones group the trades into a wider picture.
Zoom in around the event to see the nearby trades, then zoom out to see whether the change lasted. Move left through older history and use Latest when you want to return to what’s happening now.
The prediction board asks questions about future ISEKAI ZERO results. Will today’s messages exceed yesterday’s? Will the published top-ten earnings total rise? Each question explains what result will decide the answer.
18,000 more messages reaches yesterday’s total.
The stated measurement rule decides the final answer.
Daily activity resets at midnight. The question follows the specified day and public measurement, then settles when that result is available.
Check the story, creator or platform group, the comparison it makes and the time it measures. A question about messages uses a counter; one about earnings uses the stated published result. Those can follow different parts of the site.
The current progress helps you follow a question while it’s open. A message count can keep increasing through the day. An earnings question waits for its leaderboard to be published.
The measurement time identifies the result we’re looking for. Settlement is when the board can read that result and finalize the answer. A late public reveal can make those times differ. The question’s rule explains how delays or missing results are handled.
The current board is paper and read-only: you can follow questions and their probabilities. Creator stocks, perpetual positions and options are the instruments you can trade through your account.
You can buy creator stocks directly, open a long or short position, or trade an option with a fixed strike and expiry. Each uses your account funds in a different way.
Your Account page shows the holdings, reserved funds and positions that result.
Spot trading buys units you can hold and sell later. Your result comes from the difference between purchase and sale prices, the quantity you own and the fees. This is the simplest place to start if you’re learning the site.
A long gains as the price rises; a short gains as it falls. You put up collateral, and leverage sets how much exposure that collateral supports. Funding and the margin left in the position also affect the result.
A call benefits from the stock finishing above a strike price; a put benefits from it finishing below. Buyers pay a premium and both sides reserve what they need for stock delivery at expiry.
The following chapters explain the order book, placing a stock order and fees, then walk through a complete purchase and sale. The position and option chapters follow those if you want to go further.
Before you buy, there are sellers offering stock at particular prices. Before you sell, there are buyers making offers. The order book shows those prices and how much is available.
An offer to buy is a bid; an offer to sell is an ask. If the best bid is $99 and the best ask is $100, the spread is $1. Buying immediately starts with that $100 ask, while selling immediately starts with the $99 bid.
The first seller offers one unit at $100. A larger buy reaches the next sellers, at $102 and $105. A $100 limit keeps the rest of the order waiting instead.
the fills add up here.2 units fill at an average of $101.00. The first unit costs $100 and the second costs $102.
The cheapest seller may only have a little stock. Once you buy that quantity, the next part of your order reaches a more expensive offer. Your average price includes both. A larger sale works through buyers from their highest bids downwards.
Liquidity is how much is available near the current price. Plenty of nearby orders can absorb a trade more smoothly. With little supply, an order has to move farther through the book.
The last price is the most recent trade. The mark uses prices from both sides of the market to value positions. Your fill is the price your own order actually receives. Offers can change between those observations.
The earnings estimate gives buyers and sellers another number to consider when setting their prices. Their orders determine what is available for you to trade.
Open a creator’s trading page, choose Spot, then Buy or Sell. Enter how many units you want. You can buy part of a unit, so a stock above your account balance can still be traded in a smaller quantity.
$100 · 1 unit
$102 · 2 units
1 unit fills at $100
2 units wait for offers at $100 or less.
A market buy could continue into the $102 offer. The limit keeps the remaining order at your chosen maximum.
A market order uses the available offers now. A buy starts with the cheapest sellers; a sale starts with the highest bids. If the order reaches several prices, the receipt shows the fills that make up your total.
The current spot system checks that the book can fill the requested quantity and rejects a worst fill more than 25% away from the mark. If there isn’t enough supply, you can reduce the quantity or choose a limit order.
A buy limit is the most you’re willing to pay. A sell limit is the least you’re willing to accept. A $100 buy limit can fill at $100 or below. If no suitable seller is there, it waits for one.
You can get a partial fill. An order for two units might buy one now and leave the other waiting. Cancelling removes the part still waiting; the unit already bought stays in your holdings.
An open buy reserves cash for the remaining quantity and fees. An open sell reserves stock. That keeps the same money or units from being used twice. Cancelling or completing the order releases anything no longer needed.
Read the receipt after submitting: how much filled, at which prices, with what fee, and how much remains open. The first-trade example follows a purchase all the way through to a sale.
The current fee is 0.10% for a taker and 0.05% for a maker. You take liquidity when you accept an offer already in the book. You make liquidity when your order waits there and someone else accepts it.
Your resting order supplies the offer.
Your order accepts an existing offer.
The fee applies to the value that actually fills. A limit order can have taker and maker portions.
If your buy limit immediately meets a seller, that fill pays the taker rate. If it waits and someone later sells into it, that fill pays the maker rate. The role comes from how the trade fills.
| Example fill | Fee |
|---|---|
| $50 taker purchase | $50 × 0.10% = $0.05; total purchase cost $50.05. |
| $50 maker purchase | $50 × 0.05% = $0.025 before display rounding. |
| $60 taker sale | $60 × 0.10% = $0.06; sale proceeds $59.94. |
For example, buy $50 of stock as a taker and the fee is $0.05. Sell it later for $60 as a taker and the fee is $0.06. Your profit is $9.89 after both fees.
The account keeps more precision than a two-decimal display, so tiny fees may round differently on screen.
The spread and the prices your order reaches affect what you pay too. A low fee doesn’t mean a large order through a thin book will get the first displayed ask for every unit.
Perpetual fees apply to the position value traded, and open positions can pay or receive hourly funding. Option trading fees apply to the premium. Options also reserve separate cash or stock for delivery at expiry.
The order form shows what you’re committing. The fill receipt and account history show what was actually charged.
Here’s a complete stock trade using the $100 opening balance. The creator’s 30-day earnings estimate is $100, and the stock is offered at $100. The purchase is half a unit.
Trading result after these fees: +$9.89
The stock price moves from $100 to $120. Half a unit produces a $10 gross gain; buy and sell fees total $0.11.
You’ve followed their stories and think their regular audience will spend more than the model currently expects. With the stock near its $100 calculated value, you decide to buy 0.5 unit.
A seller has at least 0.5 unit offered at $100. The purchase costs $50, plus a $0.05 taker fee. Your account now has $49.95 cash and 0.5 unit of stock.
The mark reaches $120, making the half unit worth $60. Against its $50.05 purchase cost, that is a $9.95 unrealized gain. Together with the $49.95 cash, the account is worth $109.95 before an exit.
The earnings estimate has risen to $110. At a $120 stock price, the premium is now $10, or about 9.09%. You can reconsider whether that price still fits what you expect from the creator.
The half unit sells at $120 for $60, less a $0.06 taker fee. The $59.94 proceeds bring cash to $109.89. The trade has made $9.89 after both fees.
If the price falls to $80 instead and you sell there, the half unit brings in $40 less a $0.04 taker fee. You finish with $89.91 cash, a $10.09 loss after the entry and exit fees.
With a limit order, check that the purchase actually filled before following the holding through these steps. An order still waiting means the cash is reserved and that part of the stock hasn’t been bought yet.
A long position gains when the creator’s price rises. A short gains when it falls. You reserve collateral for the position, and its gain or loss changes with the market mark.
At 3× leverage, $50 of margin supports a $150 position. If you enter at $100, that’s 1.5 units. A move to $110 gives the long a $15 price gain before fees and funding. The same move gives the short a $15 loss.
Both sides start with $50 margin and a $100 entry price. The price change is the same; leverage changes how much it means for the position.
The $15 gain is 30% of the $50 starting margin.
The example leaves out fees and funding. It stops at the liquidation trigger if either side uses 90% of its starting margin.Here, an opening long needs a funded short from another player, and a short needs a funded long. A limit order can wait for that match. A market order needs a matching player already available.
The exchange supports 1–100× leverage with separate collateral for each position. Losses use that position’s margin. Liquidation begins when its equity falls to about 10% of the original margin, with fees and funding also affecting what remains.
Before other costs, a 30% adverse move at 3× uses about 90% of the starting margin. At 10×, a 9% adverse move does the same. Increasing leverage makes a smaller price move matter much more to the money supporting your trade.
The two players fund the pair. Settlement transfers what the opposite side’s collateral can cover. If a price gap creates a larger theoretical gain, the funded settlement can be smaller; the settled receipt shows what was paid.
Your account shows the direction, quantity, entry price, current mark, margin and result of each position. You can reduce part of it, close it, or set an exit trigger.
A negative rate reverses who pays. The payment changes the margin remaining in each paired position.
Funding transfers money between the paired long and short each hour. With a positive rate, the long pays the short. With a negative one, the short pays the long.
The rate comes from the difference between the last traded price and the two-sided mark, limited to ±2% per hourly period. A +0.10% rate on $150 of marked exposure means the long pays $0.15 for that period. Repeated payments affect the margin left in the position.
A reduction settles part of the pair at the current fresh mark. The corresponding quantity closes for both players. Reducing a 1.5-unit position by 0.5 unit leaves 1 unit open; closing the full quantity ends it.
For a long, take-profit triggers when the mark rises to your chosen level and stop-loss triggers when it falls to your level. For a short, those directions reverse. These exits reduce the existing position.
The trigger is checked when the market is processed. A jump past the level settles at the mark then available, which can differ from the trigger price you chose. If the position reaches its liquidation condition first, it can close through liquidation.
When a fresh mark is missing, the position waits for a new one before processing. Check its update time when following an exit or funding payment.
An option agrees a strike price and an expiry. A call benefits its buyer if the creator stock finishes above the strike. A put benefits its buyer if it finishes below. The buyer pays a premium for that contract.
One contract covers 0.01 stock unit. Ten cover 0.10 unit; one hundred cover a whole unit. The covered units multiplied by the strike give the cash needed for delivery.
Ten contracts cover 0.10 stock unit. With a $100 strike and $0.50 total premium, the result depends on where the stock finishes.
The call settles: the buyer pays $10 and receives 0.10 unit worth $12 at the settlement mark. Exercise value less the $0.50 premium is $1.50 before fees.
For a call, the writer reserves stock and the buyer reserves the cash to buy it at the strike. For a put, the buyer reserves stock and the writer reserves the strike cash. The premium is held until settlement, and the trading fee applies too.
In the example, ten $100-strike calls cover 0.10 unit. The buyer sets aside $10 to buy that stock. At a $120 expiry mark, they receive stock worth $12 for the $10 strike payment. Subtract the $0.50 premium and the contract has a $1.50 gain before fees.
Expiry is 16:00 UTC, midnight Malaysia time at the start of the following local day. Check the date and time shown for your contract. A call above its strike or a put below its strike settles automatically by transferring the stock and strike cash.
If the contract finishes out of the money or exactly at the strike, the stock-delivery reserves are released and the writer receives the premium.
Settlement uses the latest two-sided mark recorded at or before expiry, no more than 20 minutes old. If that price is missing or stale, the contract is voided and the premium, fees and collateral are refunded.
You can cancel an unfilled writer order. Once a contract fills, it stays until expiry; this exchange doesn’t offer early exercise or an early-close market. The portfolio uses its current exercise value, which isn’t a price at which you can sell the option to someone else.
Create a player account with a username and password. You get the one-time $100 game balance to use across the creator markets and supported instruments.
Your player account follows you between creator markets. Signing back in restores access to the same holdings.
Registration gives you a code for recovering the account. If you need a new password later, recovery uses that code and your username. Successful recovery gives you a replacement code, so save the new one.
The player username identifies your trading account. You can add your ISEKAI ZERO name as public attribution or hide it with the anonymous setting. Your player profile still shows the portfolio under your player username.
Account is where you review cash, holdings, orders and positions. An order waiting for a match has funds or stock reserved. A completed stock purchase appears in holdings. A filled option stays in positions until it settles.
The same balance follows you across creator pages. Money reserved on one market reduces what’s available for another. Signing out ends the session; signing back in restores access to the stored account.
Your portfolio brings together cash, stocks and open positions. The available cash is what you can use for a new trade now. The total account value also includes holdings and money committed to orders or collateral.
$50 cashAvailable for a new order
$60 stocksStill held at their current value
Selling the stock turns its actual fill proceeds into cash, after trading fees.
If you buy two units at $150 and they rise to $170, they’re worth $340 instead of $300. The $40 change is unrealized while you still hold them. Selling at $170 turns it into a completed result, with the fees included.
Buy one unit at $100 and another at $120, and the average is $110 before fees. The account’s cost basis includes the purchase fees too. When you sell part of the holding, the matching portion of that cost is used to calculate the realized result.
An account with $50 cash and stock worth $60 has $110 of equity. Only $50 is available cash. Selling the stock converts it to cash at the actual fill prices, after fees.
Open orders and instrument collateral reserve some of your funds or stock. Cancelling an unfilled order releases what it no longer needs. Open options can have an exercise value even though they remain held until expiry.
The player rankings chapter explains how those parts are valued when comparing performance.
The player leaderboard follows trading accounts. It’s a different list from the ISEKAI ZERO earnings leaderboard: that one ranks creators by what they earned, while this one compares players’ account values and trading performance.
Creators and stories ranked by their published earnings for a day.
Earning leaderboard →Players compared by account value and trading performance.
Portfolio values →Creator income and a player’s trading result measure different things.
Cash, stocks and funded positions all contribute. Reserved money still belongs in the account value even though you can’t immediately use it for another order.
Stocks use market marks. Perpetual values reflect the funded pair, and option values include their reserved delivery assets and exercise value. Your account can therefore change in value before you close a trade.
All time compares your account value with its recorded grants. Week and month compare it with the valuation saved at the start of that period, adjusting for grants received afterwards.
If you start at $100 and finish at $120 without another grant, you gained $20. If $10 of that increase came from a grant, the trading gain is $10. Adding money isn’t counted as a successful trade.
The week begins on Monday and the month begins on its first day, using Malaysia time. A period comparison needs its starting valuation. If that snapshot wasn’t saved, the current balance alone can’t tell us the exact weekly or monthly result.
Open a player’s profile to see their holdings and positions. A short-term result may come from one concentrated trade or leverage. The portfolio helps explain how they got there.
A story getting busier, a new release, reported earnings or gifts can change what the model expects. A model update can also change how it estimates income from that activity.
Buyers expect more from the creator than the current estimate suggests. They may value the regular readers, future stories or continuing support more highly.
Traders may expect readers to drift away, spending to slow or a recent hit to fade. Their offers can put the price below the estimate.
Their listed stories show the minimum they earned. If they’re absent from a complete creator top ten, its cutoff gives a maximum too. Together, those amounts can narrow the total enough to establish a beat or a miss.
The source may not have published that result, or the site may still need a fresh reading. An earnings estimate can still use the information already known, including learned patterns when story details are incomplete.
I’m Shirumi. I made Isekai Zero Stock Market as an independent project around ISEKAI ZERO creators, their stories and the expectations people have for them.

For a changed price, start with Creator stock. For a reset message ranking, open Midnight. For a published dollar amount, read Earning leaderboard.