Figgie By Jane Street 12+

Jane Street Capital, LLC

專為 iPad 設計

    • 免費

螢幕截圖

描述

Jane Street's fast-paced Figgie card game simulates exciting elements of markets and trading.

Invented at Jane Street in 2013, Figgie was designed to simulate open-outcry commodities trading. Players negotiate trades for cards of different suits over a series of rounds. Like in poker, your objective in Figgie is to make money.

Most of the skill in Figgie is in negotiating trades that benefit both the buyer and seller.

Each Figgie deck contains 40 cards of four suits: two 10-card suits, one 8-card suit, and one 12-card suit. The suit matching each count is random and not known to the players until the end of the round. Only one special suit, the goal suit, has any value. Players attempt to deduce the goal suit while buying and selling cards.

Figgie can be played by 1 to 5 players.

At Jane Street, Figgie is a game we teach and really enjoy playing. Join us!

最新功能

版本 1.0.2

Announcement:
With the release of this update, we will be resetting everyone's Rounds Played (All Time) and Rounds Played (This Week) stats to zero. This decision has been made to address an issue where the count was inflated for some players due to a bug. The new build fixes this bug, and in the interest of fairness, we believe resetting the value is the best course of action.
We appreciate your understanding and continued support.

IMPROVEMENTS
‘Starting Soon’ games will now timeout if left alone for too long.
Current active games leave the “In Progress” list faster when only bots remain.
Games now show what game mode they are in next to the Game Title in lists.
The Game Server will now auto correct in the event of a crash.
Massive amounts of optimization for server stability and game performance.
Fixed app crashes.


BUG FIXES
Rejoining a learning mode game causes the rejoining player to not be able to interact with the trade board. (FIXED)
Server could crash during the distribution of cards (FIXED)
Fix android related crashing (FIXED)
Games with bots start in a locally paused state (FIXED)

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