With the 2024 presidential election on the horizon, the financial markets are poised for heightened activity, particularly in futures trading. Historical data provides valuable insights into how elections influence trading dynamics, particularly in terms of volume and price movements. Understanding these patterns can help traders anticipate market behavior, optimize their strategies, and navigate the unique challenges that arise during this politically charged time. In this article, we delve into key trends from past elections, exploring how volume levels and price swings impact the futures trading landscape on and after election day.
Volume levels during the election day session range from 0.72x to 1.05x of the average daily volume (ADV), with GC (Gold) showing the highest levels and TU (2Y UST) the lowest.
Election Day Volume as a % of ADV:
Volume levels surge on the day after election day, ranging between 1.23x and 3.47x of the average daily volume (ADV), with the most significant increases observed in treasury futures.
Next Day Volume as a % of ADV:
When comparing volume levels between Democratic wins (Blue) and Republican wins (Red), the figures are generally consistent. However, following Donald Trump’s victory in 2016, there was a notable increase in volume across all futures contracts compared to previous presidential elections
Wider price swings on election night and the next day, compared to the entire month of November, suggest that increased volume may not guarantee better liquidity. For all products analyzed, there is a broader price range on election day and the day after, indicating a higher likelihood of wider spreads during the election period, which can reduce the liquidity of the contracts.
High – Low in Ticks: Difference Between Daily High and Low Prices Expressed in Ticks
Given the possibility of significant fluctuations in volume and price, it’s essential to ensure your algorithmic trading strategies account for these changing conditions. BestEx Research’s s algorithms are designed to respond to real-time variations in volume, bid/ask spreads, market depth, and more. The algorithm's scheduling, passive logic, and opportunistic logic are adjusted accordingly to enhance execution and minimize slippage.