Red Tiger gives a jolt to their classic fruit-machined style with Cash Volt Supercharged. The game revisits neon lights, chrome reels and retro symbols like bells, sevens, bars, while injecting modern energy via instant-prize ladders and bonus buy options. It feels like a retro casino floor in high voltage mode, paying homage to its predecessor (the original Cash Volt) while pushing the amp up a notch. The look is minimal yet polished, with purple lighting and electric flashes giving the familiar setup a fresh spark.
Cash Volt Supercharged uses a 5-reel by 3-row grid with 20 fixed paylines. The betting range starts from approximately 0.10 and goes up to about 20 per spin in standard versions. The default RTP sits at 96.17%, volatility is rated high, so feature triggers and big payouts may be less frequent. The maximum win is capped at around 2,512x your bet.
Key mechanics include the “Cash Volt” symbol ladder (6 to 15 of these symbols anywhere awards an instant prize), an expansion symbol called “Supercharged Cash Volt” which covers a full reel and counts as three symbols, and three bonus modes: Volt Spins, Supercharged Spins, and Overvoltage Spins each a hold-and-win style respin round with increasing intensity and symbol restrictions.
Cash Volt Supercharged is a fun throw-back with modern upgrades. The classic fruit-machine aesthetic is crisp and clear, and the addition of multiple bonus modes gives players more paths to action than the original. The instant-prize ladder creates frequent tension, the Supercharged symbols expand your chances, and bonus buy options provide shortcuts for those wanting direct access. The max win of 2,500x is modest compared to many contemporary high-volatility slots; the high volatility means dry spells are likely; and since it's more of an enhanced version rather than a full overhaul, some players might expect more thematic depth.
If you enjoy clean, easy-to-understand mechanics, bonus buys and retro style with a modern twist, this slot hits well. If your focus is ultra-high max wins or complex feature layers, there may be better fits.
Our rating 4.5/10