Oxido Solutions’ Latest trading bot Innovation: Rolling Orders
1. Introduction
At Oxido Solutions, we specialize in providing automated crypto trading bot solutions for institutional investors. Our goal is to help generate passive income in stablecoins, Bitcoin, Ethereum, and even euros. A key element of our trading strategies is the order fill rate. In this blog, we’ll explain what fill rate means, why it’s crucial, and how our latest feature improves it.
2. Understanding Order Fill Rate
The order fill rate in an automated trading strategy is the percentage of orders successfully executed out of the total orders placed. This rate can vary based on factors like market conditions, the liquidity of traded assets, the algorithm’s efficiency, and the trading platform used.
3. Why Order Fill Rate Matters
The order fill rate directly impacts the effectiveness and profitability of a trading strategy. A high fill rate ensures trades are executed as planned, minimizing slippage and maximizing potential profits. In contrast, a low fill rate can result in missed trading opportunities, increased slippage, and reduced overall performance. Maintaining a high fill rate is crucial for the reliability and success of an automated trading strategy.
4. Introducing Rolling Orders
At Oxido Solutions, our trading bot solutions have typically achieved an average fill rate between 92% and 95%. To push this even further, we’ve introduced the rolling orders feature. This new functionality places smarter orders, resulting in a better fill rate (96-98%) and improved performance. Our system boasts a win rate of roughly 80%, meaning that trades previously missed due to rapid price movements can now turn into profitable opportunities.
The rolling orders feature also allows for the use of more capital by minimizing the market impact of our system’s various orders. This means we can handle more volume on top platforms like Binance, Bybit, OKX, and Kraken.
By splitting and strategically placing orders based on price action, the rolling orders feature makes our bots less predictable to others, reducing their impact on the order book. When an order is placed, only a portion of the total size is initially placed, with the rest following after the first part is filled.
The reason why we call it “rolling orders” is that it involves continuously placing and adjusting orders in response to market conditions, much like rolling waves that adapt to the shape of the shore. This dynamic approach ensures that our orders are more in tune with the current market than without this feature.
5. Summary
Thanks to the rolling orders method, our trading bots are not only more efficient but also more effective and less predictable, giving us a competitive edge in the market. This enhancement significantly increases the scalability of our strategies, marking a powerful improvement in our trading solutions.