Perpetual futures have moved to the center of crypto trading, and retail behavior is changing with them. What used to be a market defined by buying spot tokens and waiting is now increasingly shaped by leverage, shorter holding periods, and nonstop derivatives activity. The article notes that derivatives account for the majority of global crypto trading volume, while platforms such as dYdX, GMX, Hyperliquid, and Vertex have made 20x, 50x, and even 100x leverage widely accessible to retail users.
This is not only a product shift. It changes how risk is taken. BTCS SA Executive Director Wojciech Kaszycki argues that in spot markets, a trader can be wrong and still remain in the trade, while leveraged derivatives leave far less room for error. Banana Gun CEO and Co-Founder Daniel H. says the change is behavioral as much as structural: many retail traders are now reacting to momentum instead of trading from conviction, which shortens decision windows and raises the odds of forced exits.
Retail Traders Are Moving From Holding Tokens to Short-Term Risk
The migration from spot to derivatives started in 2020, but the piece says it accelerated sharply through 2024 and into 2025. The reasons are practical. Perpetual futures require much less upfront capital than outright token purchases, which makes them attractive to capital-constrained retail portfolios. At the same time, DeFi protocols have improved user experience enough to narrow the gap with centralized futures venues, while regulatory pressure on centralized exchanges has pushed more sophisticated traders toward on-chain platforms that operate without KYC requirements.
Tech investing strategist and author Igor Pejic describes the outcome as a sharp rewrite of the average retail risk profile. Instead of a “hold and hope” approach typical of spot investing, traders are being pulled into high-frequency, high-consequence betting. Bull-market gains can arrive faster and in larger size, but drawdowns also become steeper and more frequent. For less experienced participants, that can mean reaching ruin much faster than in pure spot trading.
Automated Liquidations Can Turn Volatility Into Cascades
One of the most important structural features of on-chain derivatives is the automated liquidation engine. In traditional margin systems, traders may get time to add collateral. In DeFi, liquidation is usually immediate and enforced by code. Once volatility spikes, the process can feed on itself: a price drop liquidates overleveraged longs, those liquidations force selling, prices fall again, and more positions are wiped out.
The article says this pattern appeared in multiple flash crashes during 2024 and early 2025, when Hyperliquid and GMX saw billions of dollars in open interest erased within hours. Pejic argues that DeFi engines reduce counterparty risk and allow 24/7 permissionless operation, but the structure penalizes retail users more heavily in a volatile market with limited buffers. Higher-leverage DeFi vaults raise liquidation probability and can reduce end returns.
Daniel H. adds a time dimension to the problem. In spot trading, a thesis can be early and still work out later. With derivatives, leverage compresses the timeline. A trader can get the market direction right and still lose because the position sizing or timing was wrong.
Protocol Design Now Shapes How Risk Is Felt
Not every on-chain derivatives venue handles risk the same way. GMX relies on a shared liquidity pool, with liquidity providers taking the other side of trades. dYdX runs a fully on-chain order book on its Cosmos-based chain. Hyperliquid has built its own Layer 1 to target lower-latency execution. Those designs create different trade-offs around slippage, funding rates, and liquidation exposure.
Kaszycki argues that permissionless access cannot be used as an excuse for weak disclosure. If a protocol makes leverage easy, fast, and attractive, it also needs to make the risks plain. Pejic notes that organizations including IOSCO are pushing harder for investor protection in DeFi, yet he says the burden still falls mainly on retail users today. Daniel H. frames it as a product issue: if opening a 20x leveraged position is simple but understanding liquidation is not, then the design is failing at the point where risk should be visible.
Gamification Is Driving Activity, but It Can Also Amplify Losses
The article also focuses on gamification. Pejic says points, leaderboards, token rewards, and social features are growth tools first; they are meant to increase engagement and liquidity. The problem is that they can also amplify over-leveraging and herd behavior around the most heavily traded assets. Drawing from traditional finance, he says gamification is associated with excessive trading, and active trading strategies tend to underperform long-term buy-and-hold approaches on average.
Kaszycki is cautious for the same reason. The more trading feels like entertainment, the easier it becomes for retail users to underestimate real financial loss. Daniel H. does not dismiss higher activity outright, but he argues that in fast markets, more trades do not automatically produce better outcomes. Execution quality matters more, especially when conditions change quickly and speed starts to outrun control.
Risk Tools and Tighter Rules Are Emerging Together
The piece points to several attempts to make retail participation more sustainable: on-chain risk dashboards from firms such as Gauntlet and Chaos Labs, progressive leverage caps for new wallets, DeFi insurance integrations aimed at liquidation protection, and testnet environments for paper trading.
Daniel H. expects competition to move away from simply offering more markets or higher leverage and toward execution quality, including speed, precision, and fill efficiency. Kaszycki says regulatory convergence will likely shape the next phase, with retail access remaining open but rules around presentation, disclosures, and interface design getting tighter. For DeFi derivatives, the central issue is no longer whether retail can participate. It is how much responsibility platforms will have to take for the way they onboard users and influence their decisions.