
If You Like Wall Street: Money Never Sleeps(2010)
Based on real preference data from thousands of voters, here's what fans of Wall Street: Money Never Sleeps also love.
55 connections found
#1174xWall Street
1987
#2149xMargin Call
2011
#344xMoneyball
2011
#433x21
2008
#525xOcean's Thirteen
2007
#620xIn Time
2011
#719xThe Bourne Supremacy
2004
#818xCasino Royale
2006
#917xBlood Diamond
2006
#1017xThe Social Network
2010
#1116xThe Bourne Ultimatum
2007
#1215xThe Pursuit of Happyness
2006
#1315xThe Bourne Identity
2002
#1414xOcean's Eleven
2001
#1514xSource Code
2011
#1613xLooper
2012
#1713xLimitless
2011
#1812xCast Away
2000
#1912xI, Robot
2004
#2011xThe Matrix Reloaded
2003
#2111xThe Wolf of Wall Street
2013
#2210xMinority Report
2002
#239.5xSaving Private Ryan
1998Goodfellas
1990
#258.5xThe Departed
2006
#268.5xI Am Legend
2007
#277.9xGone Girl
2014
#287.9xThe Dark Knight Rises
2012
#297.8xCatch Me If You Can
2003
#307.8xGood Will Hunting
1998
#317.7xThe Godfather
1972
#327.6xThe Hangover
2009
#337.4xBatman Begins
2005
#347.2xGladiator
2000
#357.1xAmerican Psycho
2000
#366.7xAmerican History X
1998
#376.4xThe Prestige
2006
#386.4xInglourious Basterds
2009
#396.3xThe Martian
2015
#406.1xDjango Unchained
2012
#415.9xShutter Island
2010
#425.8xIron Man
2008
#435.6xThe Matrix
1999
#445.6xReservoir Dogs
1992
#455.4xBack to the Future
1985
#465.2xForrest Gump
1994
#475.2xV for Vendetta
2006
#485.2xThe Shawshank Redemption
1994
#495.2xThe Dark Knight
2008
#505.1xInterstellar
2014
#515.1xThe Silence of the Lambs
1991
#525.1xThe Lord of the Rings: The Fellowship of the Ring
2001
#534.3xInception
2010
#544.1xPulp Fiction
1994
#554.1xFight Club
1999How does this work?
These recommendations are based on real voting data, not algorithms. When thousands of people vote on their favorites, patterns emerge — people who love Wall Street: Money Never Sleeps consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Wall Street: Money Never Sleeps are to enjoy each recommendation compared to the average person.
Unlike algorithmic recommendations, these connections come from actual human preferences. A high strength score means the connection is genuine — not just because two items share a category, but because the same people genuinely love both.