⏺️Order Execution Strategy

Sol-More's order execution strategy is designed to optimise the timing and efficiency of trades, ensuring that transactions are executed at the most favourable prices. The strategy involves several key components:

Market Order Execution: Sol-More places market orders to buy or sell assets at the current market price. This approach ensures that orders are executed quickly, capturing opportunities as soon as they arise. However, it also means that trades might be subject to slippage, especially in volatile markets.

Limit Order Execution: To minimise the impact of slippage, Sol-More can also use limit orders, which specify the maximum price to pay when buying or the minimum price to accept when selling. This ensures that trades are executed only at the desired price levels, although it might result in delayed execution if the market does not reach these levels.

Algorithmic Trading: Sol-More employs algorithmic trading strategies to break large orders into smaller, more manageable pieces. This reduces the market impact of large trades and helps achieve better average execution prices. Techniques such as VWAP (Volume Weighted Average Price) and TWAP (Time Weighted Average Price) are commonly used.

Front-Running Prevention: To avoid being front-run by other market participants, Sol-More incorporates techniques to obscure its trading intentions. For example, it can randomise the timing and size of order placements, making it harder for others to predict and react to its trades.

Risk Management: Sol-More’s order execution strategy includes built-in risk management features, such as stop-loss and take-profit orders. These orders are automatically triggered when the price reaches predefined levels, helping to protect gains and limit losses.

By combining advanced machine learning techniques with a robust order execution strategy, Sol-More is able to make accurate price predictions and execute trades efficiently. This comprehensive approach ensures that the bot can capitalise on market opportunities while managing risk effectively.