The $100,000 experiment
What people do with $100,000 of fake money
Our stock market game gives every new player $100,000 that isn't real, and no rules about what to do with it. So far 4.9 million accounts have made 65 million trades. This is a close look at a random sample of them: 62,000 players and the 800,000 trades they made.
The short version. Tap a card to read more, or share the one that surprises you.
XRP▲ up100x59 sec−$99
S&P 500▲ up20x73 min−$10
Bitcoin▼ down20x76 sec+$29
US Cotton▲ up20x39 sec+$28Nasdaq 100▲ up20x37 sec+$83Crude oil▲ up20x18 sec+$35
MU▲ up100x26 sec+$371Bitcoin▲ up5x81 min−$15
Litecoin▲ up20x2 hours−$355
FTSE 100▲ up20x44 hours−$461
Meta▲ up10x15 hours+$81Stellar▲ up19 hours+$366Virgin Galactic▲ up20x79 sec−$7
Gold▲ up20x3 hours+$34NEO▲ up20x5 min+$597Silver▲ up20x21 hours+$3,670UBER▲ up20x25 hours+$82Bitcoin▲ up100x7 min−$2,664Natural gas▲ up100x3 min+$6Nvidia▲ up20x4 days+$2,003Bitcoin▲ up10x4 min+$8Bitcoin▼ down20x5 hours+$138Dow Jones▼ down100x53 sec+$19Bitcoin▲ up20x23 sec−$5Nasdaq 100▼ down20x21 hours−$1,834Brent oil▲ up100x13 hours+$3,360SNAP▲ up9 min−$16Litecoin▲ up100x17 sec−$143
Natural gas▼ down20x10 days+$7,629Netflix▼ down20x6 min+$30FTSE 100▲ up20x25 hours+$617Stellar▲ up20x5 min+$48
Bitcoin▲ up5x23 days+$101Silver▲ up100x41 sec+$1,017Bitcoin▲ up100x69 sec+$61Bitcoin▲ up20x8 days−$169Bitcoin▼ down100x21 sec+$124Platinum▲ up20x10 sec+$76Bitcoin▲ up100x22 sec+$411Bitcoin▲ up20x10 min+$28Bitcoin▼ down100x20 sec+$22Ethereum▲ up20x2 hours+$309GameStop▲ up20x65 sec+$108Crude oil▼ down20x37 min−$6
Virgin Galactic▼ down19 hours+$107Ethereum▲ up20x12 sec+$7GE▲ up100x19 hours+$3,952AMC▲ up20x11 days+$45,034Nasdaq 100▼ down100x20 sec+$8XRP▲ up100x34 hours+$11,785Bitcoin▲ up20x3 min+$138Nasdaq 100▼ down20x58 min+$183Bitcoin▲ up100x20 hours+$5,200Bitcoin Cash▲ up20x23 min+$207Gold▲ up100x4 min+$42Tron▲ up100x76 sec+$285Ethereum▲ up34 days+$158Gold▼ down20x10 min+$158FR40▲ up8 days+$8Ethereum▼ down20x12 sec−$18The scoreboard
Most players made money. Fewer than one in five beat an index fund.
64% of the players who traded are ahead of the $100,000 they started with. That sounds good until you compare it with doing nothing.
Put the same $100,000 into an S&P 500 index fund on the day of the first trade, never look at it again, and you beat four players in five. The players had tools an index fund doesn't have: 100x leverage, bets on falling prices, and a game that never forces them to sell.
$95is what the typical player has made on their $100,000
How many players beat buying one thing and leaving it
19 of 100 players did better than putting the $100,000 into the S&P 500 on day one.
Each player is compared with putting the whole $100,000 into one thing on the day of their first trade and never touching it. "Made" is the gain for the typical player's start date.
One reason is that most of the money never leaves the wallet. A single trade can stake $5,000 at most, and the typical player stakes $10,000 in total, across everything they ever do. Only 13% put as much as $100,000 to work.
So most accounts barely move: 69% ended within 10% of where they started. The extremes are lopsided. One player in 48 turned $100,000 into more than a million, and about one in 22 lost more than half.
Where the accounts ended up
The first move
Almost half of all first trades are Bitcoin
Hand a hundred people $100,000 and 47 of them buy Bitcoin before anything else. Apple, the most popular share, is the first pick of 9. The opening move is rarely a careful one.
1 in 8first trades is placed at 100x, the highest leverage the game allows
A hundred first trades
Bitcoin first, by a distance. Apple is the most popular share. Each dot is one real first trade, chosen so that the hundred match all 38,000 in the sample. Tap or point at a dot to see it.
Speed
Three trades in ten are over within a minute
Only 8% of trades are held for more than a week. With nothing real to lose, most people don't invest. They click.
Clicking has a price. Buy something with no leverage and sell it within a minute, and you end in profit 39% of the time: the price has hardly moved, and the gap between the buying and the selling price is already gone. A trade held for between a day and a week ended in profit 74% of the time.
7 minis how long the middle trade lasts before it is closed
How long a trade was held, and how often it won
Point at or tap a column to read it. Prices mostly rose over these years, which favours anyone who waited.
Leverage
Three trades in four are made with borrowed money
Leverage means trading with more money than you put in. At 20x, a 1% move in the price changes your stake by 20%, in either direction. The game opens every order with no leverage selected. Only 25% of trades leave it that way. The most common choice is 20x, the highest setting that is always free.
Leverage does not make trades win more often so much as it makes them end further from where they started. At 100x, a third of trades gained half the stake or more, and one in ten lost nearly all of it.
100xis the setting on 16% of all trades. A 1% move the wrong way takes the whole stake, and the game lets it keep going.
How 100 trades ended, by leverage
16% of all trades use 100x.
- Lost nearly all of the stake, or more10
- Lost some20
- Gained some37
- Gained half the stake or more33
100 squares for every 100 trades made at this leverage. Drag the slider to change it. The game never closes a losing trade for you, so high leverage looks kinder here than it would at a real broker.
Nobody starts out this way. On their first trade, 52% of players use no leverage at all. By their thirtieth, only 27% of the same players still go without. The rush to 100x comes early, around the fifth trade. Bets on falling prices and the size of the stake keep creeping up after that.
The same players, trade by trade
The same 5,593 players throughout: everyone in the sample who went on to make at least 30 trades. Move across the chart to read any trade.
After a loss
After a loss, people come back faster and bet more
Poker players call it tilt. Traders call it revenge trading: the urge to win it back at once. It shows up plainly here. The trade after a loss starts sooner, more often carries more leverage and a bigger stake than the one before, and ends in profit less often.
65%of the trades that follow a loss are opened within a minute of it
155,138 trades that followed a loss and 237,883 that followed a win. Comparing each player only with themselves (2,454 players with at least ten of each), the pattern holds: after a loss they raise the leverage more often (+3.2 points), raise the stake more often (+2.3), and the next trade wins less often (−4.9 points).
Getting out
People take their wins and sit on their losses
Finance has a name for this, the disposition effect, and it is one of the best documented habits there is: sell what has gone up, hold on to what has gone down.
It is easy to see here. Take the trades people closed by hand within a day. Over a single day a price is about as likely to be 1% up as 1% down, so if people closed their trades without looking at the result, gains and losses of the same size would turn up equally often. They don't.
2.7×as many trades are closed at a small gain as at an equally small loss
Trades closed by hand within a day, by how far the price had moved
289,220 trades that were closed by hand between a minute and a day after they were opened. Moves smaller than 0.1% are left out: there the gap between the buying and the selling price decides the result.
The losses nobody takes don't go away. They sit in trades that are still open: 19% of the open trades have lost more than their whole stake. Among the trades people chose to close, it is 1.8%.
Stops and noise
A stop 0.08% from the entry lasts about six minutes
Every entry and every exit in the sample is a price at a moment. Put Bitcoin's 360,000 fills in order and you have a tick chart, and a tick chart lets you measure noise: how far the price typically is from where it was a minute ago (0.03%), an hour ago (0.25%), a day ago (1.3%).
Sixty times the time, eight times the distance: noise grows with the square root of time. That turns a stop into a statement about time. A random walk first touches a level about when its typical move has grown to that distance, so how far away the stop is says how long the trade is likely to last, before the idea behind it has had any say.
6 minis how long the stopped-out 20x Bitcoin trades lasted. The stop's distance alone predicts 6.
Where the stop and the target go, and how long the stop lasts
- typical move after that long
- each leverage: its stop distance, and how long its stopped-out trades lasted
At 20x, the stop sits 0.08% away. Bitcoin typically moves that far in 5.9 min. The trades that were stopped out lasted 5.5 min.
364,668 Bitcoin entries and exits, read as a tick chart. The typical move is the median distance between one fill and the fill nearest that much later; both axes are logarithmic, so a square-root law is a straight line. Stop and target distances are read off the trades that reached them (3,734 stopped out and 2,804 at target for this leverage; 46% were closed by hand first).
A stop-loss closes a trade once it has lost a set amount; a target closes it at a set gain. At 20x the typical Bitcoin plan puts the stop 0.08% below the entry and the target 0.25% above: 3 to 1, a plan that only has to work 25% of the time. Noise covers 0.08% in 5.9 minutes. The stopped-out trades lasted 5.5 minutes.
It holds along the ladder. At 100x the curve predicts 9.4 minutes and the stopped-out trades lasted 8.7 minutes; at 5x it is 44 minutes against 41 minutes. Only 10x strays: 60 minutes predicted, 26 minutes lasted. For scale, Bitcoin's ordinary daily range is 2.7%, so a 0.08% stop is about 1/32 of a normal day. The reward-to-risk ratios are sound. The distances are the size of the noise.
Plans are the exception in any case: 15% of trades carry a stop, and 46% of the trades that have both a stop and a target are closed by hand before either is reached.
Betting on falls
A third of Bitcoin bets are on a fall, whatever the price does
Players can bet that a price will drop as easily as that it will rise. Bitcoin went from $16,966 to a peak of $122,569 over these years, and through all of it roughly 32 in every 100 Bitcoin trades kept betting it would fall.
1 in 4trades is a bet that the price will drop
Bitcoin, week by week
Move or drag across the chart to read any week. 196 weeks, 184,401 Bitcoin trades.
In markets that mostly rose, that was the expensive habit. Among players with five or more trades, those who almost never bet on falls are far more likely to be ahead.
Players in profit, by how often they bet on falls
Timing
Their timing is no better than picking a day at random
Did the price go the way they bet? We checked every bet a week after it was made. Bets on a rise were right 52.9% of the time, and bets on a fall 47.1%.
That looks like a small edge for the buyers until you compare it with no skill at all. Make the same bets on a random day of the same month and you are right 53.1% and 47.3% of the time. Choosing the moment added nothing.
53%of bets on a rise were right a week later. A random day scores 53% too.
Did the price go their way?
676,180 bets on 45 widely traded assets. A bet counts as right if the price was higher (for a bet on a rise) or lower (for a bet on a fall) seven days later, whenever the trade itself was closed. "A random day" is the same bet made on a random day of the same month.
The one moment when timing clearly mattered is just after a sharp fall, and the crowd got it backwards. When a price has dropped 10% in a week, more people bet on a further fall (30% of trades, against 25% in a quiet week), and they are right only 39% of the time. Buying that same dip was right 59% of the time.
On Bitcoin's twenty worst days, 38% of Bitcoin trades were bets on a fall. On its twenty best days it was 26%. People bet on a fall after it has already happened.
Loved and hated
Boring won. Bitcoin and the meme stocks did worst.
Put every widely traded asset on one chart and two things stand out. The dull ones had the best record: trades in the Russell 2000, the FTSE 100, the S&P 500 and Microsoft ended in profit about three times in four.
The exciting ones had the worst. Virgin Galactic, Plug Power and AMC sit at the bottom, and Bitcoin, the most traded asset of all, is not far above them. Crypto is also what people most like to bet against. Almost nobody bets against Microsoft.
60%of Bitcoin trades ended in profit. For the S&P 500 it was 73%.
Every widely traded asset, by how it was traded and how that went
- Crypto
- Shares
- Indexes
- Commodities
- Currencies
Every asset with at least 2,000 trades in the sample (53 of them). The bigger the circle, the more it was traded. Tap or point at one to read it.
Forgotten trades
One trade in ten was never closed. Those did best of all.
People bought something, wandered off and never came back.
It is the oldest finding in investing, rediscovered by accident: the people who did nothing beat the people who kept busy.
72%of the trades still open were opened more than a year ago
What $10,000 turned into
Ordinary purchases with no leverage: 29,385 that were never closed, valued at today's prices after years in which most markets rose. The thin line marks the $10,000 put in.
Winners
Nearly all of the profit belongs to a few, and they all won it the same way
Add up everyone's profit and it is anything but evenly spread. The top 10% of players hold 92% of it.
39%of all the profit is held by the top 1% of players
Who holds the profit
Drag to widen the group. 64% of players who traded are in profit at all.
What did the winners do that everyone else didn't? Not much that looks like skill. Nearly every one of them used the maximum 100x leverage, they rarely bet on prices falling, and for most of them the trade that made the difference is one they opened and never closed.
In a game with rising markets and no forced selling, a 100x bet on a rise is a lottery ticket that never expires. The leaderboard is the list of people holding a winning one.
The top 1% are 381 players who are each at least $1,479,000 ahead. On average 50% of a top player's profit comes from one trade.
iPhone vs Android
Android players did better than iPhone players, in every year
We did not expect this one. The game, the prices and the starting money are identical on both, yet 65% of Android players are ahead against 62% of iPhone players. The gap is there whichever year people started in.
We don't have a good explanation. Treat it as a curiosity, not as a verdict on anyone's phone.
5.3points separate Android from iPhone players in the United States, where the two groups are the same size
23,789 Android and 13,418 iPhone players who placed at least one trade. "Started in" is the year of the first trade. iPhone players use 100x a little more often (18% of trades against 15%).
Countries
Where you are from matters less than you would think
People in very different places trade in strikingly similar ways, with a few local habits. These are the 17 countries with the most players in the sample. Pick one to see where it sits.
United States stands out for trades in crypto: 46%, the 2nd highest of the 17 countries.
Each dot is a country; the large one is United States. The tick marks the middle country.
The record book
Somebody has held a 100x bet on Bitcoin for five years
Averages hide the people at the edges. These are the extremes of the sample: one player or one trade each, with nothing that identifies anyone.
25,717trades were made by a single player, the busiest in the sample
Which one are you?
Ten kinds of player, and how each one did
Sort the players by what they actually do and ten kinds appear. A third are Tourists, who make a trade or two and never come back. Holders are the most likely to be ahead. Bears are close to a coin flip.
The uncomfortable result is at the top. The Gamblers, who put most of their trades on 100x, beat the index fund far more often than the Purists who never borrow. In a game that never forces anyone to sell, recklessness is rewarded. A real broker would not be so kind.
46%of Gamblers beat the index fund. Of the careful Purists, 4% did.
- The typical one made
- $4,090
- Trades, typically
- 7
Every player is put in the first group that fits, in this order: Tourist, Machine, Gambler, Bear, Sniper, Holder, Bitcoin Loyalist, Collector, Purist. Whoever is left is an All-Rounder. The line on each bar marks all players.
Your turn. Here is $100,000.
It isn't real, so finding out what kind of trader you are costs nothing.
How to read this
- The money is not real
- People take risks with play money that they would not take with their savings. Read this as a study of instinct, not of investing skill.
- The sample
- The game has about 4.9 million accounts and 65 million trades. This page uses a random sample of 62,004 players and all 799,657 trades they made between September 2021 and October 2026. 38,114 of them placed at least one trade.
- The countries
- The sample is limited to 58 Western and other high-income countries, so that the players are broadly comparable. Other countries may behave differently.
- Markets rose
- Shares, gold and crypto all climbed strongly over these years, which flatters anyone who bought and held, and punishes anyone who bet on falls.
- No forced selling
- The game never closes a losing position for you, so a leveraged trade can lose many times its stake and sit there until its owner closes it. A real broker would close it once the stake is gone. Real results at high leverage would be much harsher than these.
- Open trades
- Trades that were never closed are valued at prices from early October 2026, the way the game values them. Every profit figure includes them.
- Stakes
- A trade can stake $100, $500, $1,000 or $5,000. 63% of trades use the maximum. 100x leverage is rationed for players who don't pay; the other settings are free.
- The index comparison
- A player's total result is set against $100,000 put into the index at the middle price of the week of their first trade, and valued at early October 2026 prices. No dividends and no costs on either side. It is a hard test: the index gets the whole $100,000 from day one, and most players never stake that much.
- Noise
- Bitcoin's typical move over a given time is the median absolute change between one fill and the fill nearest that much later, measured on entries and exits since January 2024. Stop and target distances come from the trades that reached them.
- Direction calls
- The price a week after a bet is the middle price of that day's trades in our sample. Thinly traded assets and shares that split during the period are left out, which leaves 45 assets and 676,180 bets.
- What we left out
- 3,635 trades whose recorded result was an artefact. The game does not adjust open positions for stock splits, so a share that splits ten for one looks like a 90% fall, and a few prices in the feed were plainly wrong.
- Not advice
- Nothing here is a recommendation to buy or sell anything.
The numbers behind the charts
| Compared with | All players | Players with 5+ trades | What it made |
|---|---|---|---|
| S&P 500 | 18.6% | 26.3% | $33,800 |
| Nasdaq 100 | 15.4% | 22.4% | $51,400 |
| Gold | 28.9% | 34.7% | $56,200 |
| Bitcoin | 41.2% | 45.5% | $25,600 |
| Result | Players | Share |
|---|---|---|
| Lost more than 10% | 3,169 | 8.3% |
| Lost up to 10% | 10,625 | 27.9% |
| Gained up to 10% | 15,550 | 40.8% |
| Gained 10% to 100% | 4,509 | 11.8% |
| Doubled or more | 3,473 | 9.1% |
| Ten times or more | 788 | 2.1% |
| Asset | Share |
|---|---|
| Bitcoin | 47.0% |
| Apple | 8.8% |
| Nasdaq 100 | 5.1% |
| Gold | 4.5% |
| Crude oil | 4.2% |
| XRP | 3.7% |
| Ethereum | 3.7% |
| Tesla | 3.3% |
| Everything else | 19.7% |
| Held for | Share of trades | Ended in profit | Middle return |
|---|---|---|---|
| Under a minute | 29.5% | 56.9% | 0.01% |
| 1 to 5 minutes | 13.6% | 60.8% | 0.04% |
| 5 to 60 minutes | 11.9% | 64.1% | 0.20% |
| 1 to 24 hours | 16.3% | 70.7% | 1.91% |
| 1 to 7 days | 11.0% | 74.2% | 5.70% |
| Over a week | 7.6% | 73.7% | 16.59% |
| Never closed | 10.1% | 63.2% | 27.72% |
| Leverage | Share of trades | Ended in profit | Gained half or more | Lost nearly all |
|---|---|---|---|---|
| None | 25.3% | 56.9% | 4.1% | 0.3% |
| 5x | 7.3% | 61.1% | 8.0% | 2.5% |
| 10x | 6.9% | 63.3% | 9.7% | 3.6% |
| 20x | 44.4% | 67.3% | 9.1% | 3.3% |
| 100x | 16.1% | 69.8% | 33.2% | 10.5% |
| Bought | Sold | Forgotten |
|---|---|---|
| Crypto | 1.0% | 27.3% |
| Shares | 1.6% | 55.9% |
| Indexes | 0.7% | 35.1% |
| Commodities | 1.0% | 32.5% |
| Currencies | 0.2% | 2.6% |
| Trade | No leverage | 100x | Bet on a fall | Average stake | Ended in profit |
|---|---|---|---|---|---|
| 1 | 52.4% | 11.7% | 16.6% | $1,841 | 53.9% |
| 2 | 44.8% | 14.4% | 20.0% | $2,177 | 59.9% |
| 3 | 42.1% | 16.2% | 20.0% | $2,366 | 61.0% |
| 5 | 37.5% | 18.1% | 18.8% | $2,552 | 62.1% |
| 10 | 33.2% | 12.8% | 22.0% | $2,829 | 64.3% |
| 15 | 30.0% | 11.7% | 22.8% | $2,970 | 65.6% |
| 20 | 28.5% | 11.2% | 23.1% | $3,078 | 65.5% |
| 25 | 27.8% | 11.8% | 23.7% | $3,169 | 65.9% |
| 30 | 26.7% | 13.2% | 23.4% | $3,205 | 65.8% |
| After a win | After a loss | |
|---|---|---|
| Started the next trade within a minute | 57.3% | 64.9% |
| Raised the leverage | 12.2% | 14.9% |
| Raised the stake | 10.8% | 14.1% |
| The next trade ended in profit | 67.6% | 51.8% |
| Price had moved | Closed at a gain | Closed at a loss | Gains per loss |
|---|---|---|---|
| 0.1% to 0.3% | 44,339 | 18,052 | 2.5 |
| 0.3% to 0.6% | 24,594 | 8,613 | 2.9 |
| 0.6% to 1% | 14,681 | 4,990 | 2.9 |
| 1% to 2% | 15,428 | 5,113 | 3.0 |
| 2% to 5% | 9,848 | 3,347 | 2.9 |
| The week before | Bets | Bets on a fall | Bets on a rise: right | Bets on a fall: right |
|---|---|---|---|---|
| Fell 10% or more | 35,896 | 30.1% | 58.7% | 38.9% |
| Fell 3% to 10% | 112,641 | 28.5% | 55.2% | 45.8% |
| Barely moved | 326,115 | 24.8% | 54.0% | 46.3% |
| Rose 3% to 10% | 134,527 | 24.8% | 47.4% | 53.5% |
| Rose 10% or more | 67,001 | 26.1% | 51.6% | 45.7% |
| After | Typical move | Three in four are within |
|---|---|---|
| 30 s | 0.022% | 0.048% |
| 1 min | 0.032% | 0.067% |
| 2 min | 0.047% | 0.097% |
| 5 min | 0.077% | 0.158% |
| 10 min | 0.111% | 0.220% |
| 20 min | 0.151% | 0.303% |
| 30 min | 0.182% | 0.365% |
| 1 h | 0.252% | 0.503% |
| 2 h | 0.344% | 0.685% |
| 4 h | 0.472% | 0.955% |
| 8 h | 0.682% | 1.367% |
| 16 h | 0.996% | 1.966% |
| 24 h | 1.291% | 2.477% |
| Leverage | Stop | Target | Reward to risk | Break-even win rate | Stopped-out trades lasted | Noise predicts | Closed by hand first |
|---|---|---|---|---|---|---|---|
| None | 1.01% | 2.51% | 2.5 to 1 | 29% | 11 hours | 16 hours | 77% |
| 5x | 0.22% | 0.51% | 2.3 to 1 | 30% | 41 minutes | 44 minutes | 63% |
| 10x | 0.25% | 0.50% | 2.0 to 1 | 33% | 26 minutes | 60 minutes | 51% |
| 20x | 0.08% | 0.25% | 3.0 to 1 | 25% | 5.5 minutes | 5.9 minutes | 46% |
| 100x | 0.11% | 0.20% | 1.9 to 1 | 34% | 8.7 minutes | 9.4 minutes | 46% |
| Asset | Type | Trades | Bets on a fall | Ended in profit |
|---|---|---|---|---|
| Bitcoin | Crypto | 187,737 | 31.9% | 60.2% |
| XRP | Crypto | 59,034 | 31.3% | 61.0% |
| Ethereum | Crypto | 56,068 | 28.9% | 65.4% |
| Nasdaq 100 | Indexes | 43,151 | 26.9% | 66.5% |
| Crude oil | Commodities | 33,601 | 21.8% | 65.7% |
| Gold | Commodities | 33,491 | 21.4% | 67.3% |
| Apple | Shares | 30,649 | 17.9% | 63.6% |
| Tesla | Shares | 24,912 | 22.6% | 64.3% |
| Natural gas | Commodities | 19,866 | 18.9% | 63.4% |
| Dow Jones | Indexes | 18,133 | 22.5% | 67.6% |
| Litecoin | Crypto | 14,940 | 28.4% | 63.9% |
| Stellar | Crypto | 14,445 | 27.6% | 61.8% |
| Amazon | Shares | 12,984 | 15.6% | 70.3% |
| Nvidia | Shares | 11,760 | 15.8% | 71.6% |
| Meta | Shares | 10,938 | 18.2% | 69.9% |
| Euro / dollar | Currencies | 10,549 | 25.7% | 62.4% |
| NEO | Crypto | 9,739 | 41.3% | 70.5% |
| Silver | Commodities | 9,673 | 17.2% | 70.4% |
| Qtum | Crypto | 8,752 | 21.1% | 60.7% |
| Brent oil | Commodities | 8,401 | 18.2% | 71.3% |
| AMC | Shares | 8,255 | 27.8% | 56.4% |
| S&P 500 | Indexes | 8,116 | 17.7% | 72.7% |
| Volatility index | Indexes | 7,674 | 15.8% | 63.0% |
| GameStop | Shares | 6,692 | 18.9% | 66.2% |
| AMD | Shares | 6,377 | 16.1% | 74.1% |
| Microsoft | Shares | 6,302 | 15.0% | 73.4% |
| Bitcoin Cash | Crypto | 6,194 | 23.2% | 60.3% |
| Netflix | Shares | 5,958 | 17.6% | 65.5% |
| Tron | Crypto | 5,877 | 20.9% | 67.0% |
| Virgin Galactic | Shares | 5,574 | 16.8% | 55.4% |
| Pound / dollar | Currencies | 5,070 | 22.7% | 65.9% |
| Platinum | Commodities | 4,803 | 16.2% | 69.8% |
| Russell 2000 | Indexes | 4,457 | 18.0% | 75.4% |
| Alibaba | Shares | 4,396 | 15.7% | 64.9% |
| FTSE 100 | Indexes | 4,274 | 17.5% | 73.8% |
| Copper | Commodities | 4,053 | 15.2% | 73.6% |
| Tilray | Shares | 3,793 | 15.9% | 60.8% |
| Cotton | Commodities | 3,670 | 15.1% | 64.1% |
| Hang Seng | Indexes | 3,573 | 17.7% | 71.6% |
| Dollar / yen | Currencies | 3,354 | 20.9% | 70.4% |
| EOS | Crypto | 2,807 | 18.6% | 63.3% |
| Aussie dollar / yen | Currencies | 2,747 | 19.2% | 72.2% |
| Plug Power | Shares | 2,705 | 16.0% | 55.7% |
| Aussie dollar / dollar | Currencies | 2,643 | 18.9% | 71.0% |
| Euro / Canadian dollar | Currencies | 2,633 | 17.3% | 70.5% |
| CAC 40 | Indexes | 2,585 | 17.5% | 68.0% |
| NZ dollar / dollar | Currencies | 2,495 | 18.6% | 59.3% |
| Dollar / Canadian dollar | Currencies | 2,447 | 17.2% | 70.4% |
| Dollar / franc | Currencies | 2,396 | 18.2% | 67.7% |
| Euro / Aussie dollar | Currencies | 2,373 | 15.5% | 60.7% |
| Canadian dollar / yen | Currencies | 2,325 | 17.0% | 70.8% |
| Euro / pound | Currencies | 2,323 | 17.3% | 65.3% |
| Pound / yen | Currencies | 2,010 | 20.4% | 71.9% |
| iPhone | Android | iPhone players | Android players | |
|---|---|---|---|---|
| All players | 61.6% | 65.0% | 13,418 | 23,789 |
| United States only | 60.0% | 65.3% | 7,495 | 7,281 |
| Started in 2023 | 65.6% | 68.6% | 1,708 | 4,239 |
| Started in 2024 | 65.8% | 68.4% | 3,723 | 9,512 |
| Started in 2025 | 57.0% | 58.4% | 4,475 | 6,483 |
| Started in 2026 | 60.8% | 63.5% | 3,339 | 2,831 |
| Kind | Share of players | Ahead | Beat the S&P 500 | Typical profit | Typical trades |
|---|---|---|---|---|---|
| The Tourist | 31.5% | 57.2% | 8.0% | $1 | 1 |
| The Holder | 14.2% | 79.5% | 29.8% | $4,090 | 7 |
| The Sniper | 10.1% | 56.3% | 9.6% | $3 | 8 |
| The Gambler | 8.5% | 71.0% | 45.7% | $10,745 | 7 |
| The Bear | 7.4% | 51.2% | 8.4% | $0 | 9 |
| The Collector | 7.3% | 71.5% | 39.0% | $8,866 | 54 |
| The Purist | 4.5% | 63.9% | 3.8% | $19 | 8 |
| The Bitcoin Loyalist | 1.9% | 55.6% | 8.5% | $2 | 6 |
| The Machine | 0.6% | 73.6% | 52.5% | $49,910 | 460 |
| The All-Rounder | 14.0% | 66.9% | 20.3% | $478 | 12 |
| Top 1% | Everyone | |
|---|---|---|
| Used 100x at least once | 99.7% | 41.8% |
| Average leverage | 56x | 22x |
| Trades that bet on a fall | 7.8% | 19.2% |
| Top share of players | Share of profit |
|---|---|
| 1% | 39.1% |
| 2% | 54.3% |
| 5% | 77.2% |
| 10% | 91.7% |
| 20% | 98.7% |
| 50% | 100.0% |
| Country | 100x trades | Crypto | Bets on falls | Closed in a minute | Never closed | Players in profit |
|---|---|---|---|---|---|---|
| United States | 18% | 46% | 24% | 32% | 11% | 63% |
| United Kingdom | 18% | 44% | 25% | 31% | 9% | 65% |
| Germany | 17% | 44% | 25% | 29% | 10% | 65% |
| Canada | 13% | 46% | 24% | 33% | 10% | 66% |
| Italy | 13% | 45% | 26% | 32% | 9% | 62% |
| France | 12% | 42% | 28% | 24% | 11% | 63% |
| Australia | 15% | 45% | 14% | 32% | 12% | 66% |
| Spain | 13% | 44% | 27% | 30% | 9% | 66% |
| Netherlands | 16% | 40% | 27% | 27% | 10% | 69% |
| Belgium | 15% | 46% | 23% | 29% | 12% | 64% |
| Czechia | 15% | 50% | 26% | 32% | 12% | 63% |
| Switzerland | 20% | 45% | 21% | 29% | 9% | 64% |
| Singapore | 14% | 43% | 29% | 27% | 10% | 60% |
| Israel | 18% | 44% | 24% | 35% | 14% | 62% |
| Sweden | 34% | 40% | 21% | 24% | 11% | 65% |
| Hungary | 16% | 42% | 26% | 24% | 10% | 63% |
| Austria | 14% | 39% | 17% | 33% | 8% | 66% |