Ultra Realistic Stock Market Trading [ALPHA V0.52]
A Roblox experience owned by Godly Capital.
SimulatorENstock market simulatorcrypto tradingbusiness tycoon
Description (written by the developer; not a statement by this register)
📈 Godly Capital — MOST REALISTIC stock + crypto trading simulator on Roblox! 💰 Get to the top to create your own stock and company! ⚠️ ALPHA TESTING: The game is NOT FINISHED, but trading is FULLY FUNCTIONAL. PLEASE report bugs and leave suggestions! 🙏🐛 MOBILE: Mobile will have many issues until the game is finished. You will find bugs before me, pls report them, you will be paid in-game cash and I prioritize user-reported bugs! Trade stocks and crypto, build your portfolio, read nearly-live charts, climb the leaderboard. 🚀 Crypto is tradeable 24/7! V0.52 = The game is about 52% complete. 🎁 Group bonus: $3,000 + 2x daily login reward 💎 Roblox Plus benefits: • Start with $5,000, rather than $2,500 • 3X Group Bonus Cash ($9,000) • 3X daily login reward • 7-day FREE PRO Trader trial Free trials to Plus not included: • Subscribe to Roblox Plus in-game for $20,000 cash, VIP name tag, ability to use your own outfit + 30-day FREE PRO Trader trial
Last updated by the developer 15 Aug 2026, 23:49 UTC.
Live players over time
Growth
Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.
| Measured (UTC) | Players | Change |
|---|---|---|
| 16 Aug 2026, 04:00 | 0 | first reading |
Concurrent players at each of our measurements (insert-on-change).
Monetization — game passes
Game passes for sale and their prices, measured from the Roblox passes API. Developer products bought inside the game aren’t publicly listable.
Badge funnel
How many players have ever earned each badge — a proxy for how far players get before they stop. Steep drop-offs mark where a game loses people. Win rate is the past-day share of players who earned it; categories are assigned by a language model from each badge’s own name and description.