Edited By
Leo Zhang

Traders are expressing increasing frustration as manual strategies for executing swaps on platforms like Jupiter and Raydium face severe challenges during network congestion. Many argue that attempting these trades is akin to making a donation to the network, with dropped transactions and rising fees leading to losses.
In response, users are embracing custom solutions over traditional web interfaces. One trader shared, "I switched to a custom engine using Helius RPCs and Python to handle dynamic fee estimation and Jito tips." This change aims to address the inefficiencies of default user interfaces during peak block density. As competition heats up, manual execution may feel like throwing money at a wall.
The theme of seeking better trading technology dominated discussions. Thereβs solid consensus on the need for superior RPC (Remote Procedure Call) solutions. Comments reflect this urgency:
"Need a good RPC. Try Constant-K," suggests one user.
Another asserts, "When Swap on Jupiter or Raydium goes Skrrr I go Brr Brr Boom Boom," expressing a shared frustration with slower services.
Additionally, discussions hint at deploying dedicated nodes, with a user asking, "How's your performance during peak congestion compared to dedicated Yellowstone gRPC nodes?" This aligns with the trend of traders measuring performance metrics to enhance their trading efficacy.
β‘ Many are abandoning conventional UIs for direct node execution.
π High demand for low-latency solutions continues to grow.
π‘ "Already on Helius but looking for lower latency" reflects usersβ eagerness for better options.
With traders exploring innovative methods to circumvent congestion issues, one can't help but wonder: Can these custom engines outperform established platforms in a saturated market? As the situation evolves, the impact on manual trading strategies appears significant.
Traders can expect continued volatility as network congestion persists, making manual trading strategies more challenging. There's a strong chance that platforms will innovate to keep pace with user demand for faster, more reliable RPC solutions. Experts estimate around 60% of traders might shift entirely to custom engines within the next year, driven by frustrations over dropped transactions and lagging interfaces. Additionally, as competition intensifies, established platforms may lower fees to retain users, which could attract those hesitant to invest in customized systems. Yet, if congestion issues remain unaddressed, the landscape may favor tech-savvy traders who can adapt quickly, potentially widening the gap between amateurs and experts in crypto trading.
This scenario reminds one of the bustling trading pits of the 1980s, where traders operated on instinct and speed. Just as those traders created handwritten tickets and employed frenetic hand signals to navigate a chaotic environment, today's crypto traders are finding their own paths through a maze of technology. The rise of electronic trading systems once disrupted traditional methods, pushing seasoned traders to adapt or fade into obscurity. Such historical shifts underscore the reality that innovation often comes at a price, and those willing to embrace change can emerge with a strategic edge in an ever-changing market.