Your idea is very close to the core logic of risk-free arbitrage, but we must rigorously analyze this process with physical and mathematical continuous thinking. What you described is a price difference locking at open position + return to close position arbitrage model, which seems risk-free but actually hides several key variables and risks:



1. The arbitrage logic you described (cross-platform Delta Neutral model):



  2. Observe the price convergence of the two platforms


    • Binance, Hyperliquid: Assume prices are around $97,470


  4. Simultaneously open positions on both sides


    • Buy 1 BTC on Binance (long position, holding coins)


    • Sell 1 BTC on Hyperliquid (short position)


    • Achieve hedging, ideally the net value of positions is almost 0, referred to as 'Delta Neutral'


  6. Wait for price divergence (for example, Binance rises, Hyperliquid rises slowly)


    • Significant price difference appears between the two


  8. Simultaneously close positions on both sides


    • Sell 1 BTC on Binance (liquidate)


    • Buy 1 BTC on Hyperliquid (cover short)


    • Lock in the price difference between the two platforms



2. Apparently risk-free, but in fact key variables:



3. Mathematical modeling framework (simplified):


Let:



  • : Binance price


  • : Hyperliquid price


  • : Real-time price difference


The arbitrage target is:



  2. Open positions at time:


    • Establish short + long hedging positions


  4. Close positions at time:


    • The profit is


The requirement is sufficiently large and not eaten away by system fees.



4. Practical advice



  • Build an arbitrage price difference monitoring script to record the price difference between Binance and Hyperliquid in real-time.


  • Statistical price difference distribution, determinePosition opening range and closing range, for example:


    • Open position at time;


    • Close position at time;


  • Also consider adding:


    • Funding rate model


    • Risk exposure limits (maximum slippage, maximum position holding duration)



Further consider the problem:


Do you prefer high-frequency automation of arbitrage models (frequent low profit) or medium-low frequency with high price differences (more favorable per transaction)? Would you like me to help you write a real-time arbitrage monitoring + position opening and closing logic Python module?