AON (Aon Plc) Backtesting: Strategies and Insights

Quantitative Strategies & Backtesting results for AON

Here are some AON trading strategies along with their past performance. You can validate these strategies (and many more) for free on Vestinda across thousands of assets and many years of historical data.

Quantitative Trading Strategy: Ride the SuperTrend with RSI and Harami Patterns on AON

Based on the backtesting results from November 3, 2022, to November 3, 2023, the trading strategy showed promising outcomes. The profit factor stood at 1.03, indicating a positive return on investment. With an annualized ROI of 0.2%, the strategy demonstrated consistent growth over time. On average, trades were held for approximately 5 days 6 hours, suggesting a moderately short-term approach. The frequency of trades was relatively low, with an average of 0.09 trades per week. Out of the five closed trades, 40% were successful, highlighting a moderate success rate. Overall, these statistics indicate potential opportunities for further refinement and optimization of the trading strategy.

Quantitative Trading Strategy: Play the breakout on AON

Based on the backtesting results, the trading strategy implemented from November 3, 2022, to November 3, 2023, exhibited a disappointing annualized ROI of -4.8%. This indicates a negative return on investment, reflecting the strategy's underperformance during the given period. On average, the holding time for trades lasted approximately 13 weeks and 5 days, suggesting a longer-term approach. The strategy resulted in a meager average of 0.03 trades per week, indicating infrequent trading activity. With only 2 closed trades in total, the sample size is limited. Additionally, none of these trades were successful, leading to a 0% winning trades percentage. Overall, these statistics paint a picture of an unsuccessful trading strategy during the specified timeframe.

Mastering Backtesting with Aon: Step-by-Step Tutorial

1. Retrieve historical price data for AON from a reliable financial data source.
2. Determine the backtesting period based on availability of data and desired evaluation timeframe.
3. Develop a trading strategy or set of rules to be tested on the historical data.
4. Apply the trading strategy to the historical price data and simulate trades accordingly.
5. Analyze the backtesting results, including performance metrics, profit/loss, and risk measures.

AON Backtesting: Debunking Popular Misbeliefs

Common misconceptions about AON backtesting can lead to flawed investment strategies. AON backtesting, short for Aon Plc backtesting, is a process of evaluating the effectiveness of a trading strategy using historical data. Contrary to popular belief, backtesting is not a guarantee of future performance, as it only analyses past data. It is crucial to understand that actual market conditions can vary significantly from those observed in the backtest. Moreover, backtesting usually assumes perfect execution and does not account for transaction costs, slippage, or other market factors. Critics argue that backtesting can suffer from over-optimization, where strategies are fine-tuned based on historical data but fail to perform well in real market conditions. Therefore, it is important to use backtesting as just one tool in a broader investment analysis, considering other factors such as risk management and market conditions.

Slippage Insights in AON Backtesting

Understanding Slippage in AON backtesting is crucial for accurate performance evaluation. Slippage occurs when the execution price differs from the desired price, affecting the profitability of a trade. In AON backtesting, slippage can result from factors such as market liquidity, order size, and trading volume. A small order might experience minimal slippage, while a large order may face significant slippage due to market impact. It is essential to account for slippage when evaluating backtested results to obtain a realistic picture of trading performance. Ignoring slippage can lead to overestimation of returns and false expectations. Traders should carefully analyze historical slippage data and implement strategies to minimize its impact on future trading activities. By understanding and acknowledging slippage, traders can make more informed decisions and improve their overall trading strategies in the long run.

Psychological Influences on AON Backtesting Results

Psychological factors play a significant role in AON backtesting. They can influence the way traders interpret and react to backtesting results. Emotions such as fear, greed, and overconfidence can distort decision-making during backtesting. Traders may be tempted to cherry-pick favorable results while ignoring unfavorable ones. The power of hindsight bias can also lead to overestimating the accuracy of past predictions. Additionally, confirmation bias can cause traders to focus on information that supports their preconceived notions while disregarding contradictory evidence. These psychological factors can introduce biases and inaccuracies in AON backtesting. Therefore, it is vital for traders to be aware of and manage their emotions to ensure objective and reliable backtesting results.

Testing Illiquid Holdings: AON Asset Challenges

Backtesting low-liquidity AON assets presents unique challenges for investors. Limited historical data is available, making it difficult to assess performance accurately. Illiquid assets are prone to price manipulation, resulting in distorted backtesting results. Additionally, low liquidity can lead to high bid-ask spreads, impacting transaction costs. The lack of trading volume increases the risk of slippage and makes it challenging to exit positions effectively. Moreover, low-liquidity assets often exhibit higher volatility, influencing risk measures and potentially leading to misleading backtesting outcomes. To mitigate these challenges, investors can employ alternative strategies such as modelling using proxies or employing liquidity risk adjustments. Careful consideration and thorough understanding of the limitations of backtesting low-liquidity AON assets are crucial to making informed investment decisions.