HLI (Houlihan Lokey) Backtesting: How to Analyze Strategies

Quantitative Strategies & Backtesting results for HLI

Here are some HLI 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: Math vs. the market on HLI

Based on the backtesting results for the trading strategy from November 8, 2022, to November 8, 2023, the overall profit factor was 0.98. The annualized ROI was negative at -0.17%, indicating a slight loss in investment over the period. The average holding time for trades was approximately 3 weeks and 5 days, with an average of 0.11 trades per week. There were a total of 6 closed trades during this period, resulting in a 50% winning trades percentage. Despite the mixed results, the return on investment remained at -0.17%, suggesting the strategy did not yield significant profits during the timeframe.

Quantitative Trading Strategy: Detrended Price Oscillations with PSAR and Shadows on HLI

During the backtesting period from November 8, 2022, to November 8, 2023, the trading strategy showed promising results. The strategy had a profit factor of 1.31, indicating that for every dollar risked, $1.31 was made in profit. The annualized ROI stood at 7.73%, showing a consistent return on investment. The average holding time for trades was around 5 days and 3 hours, with an average of 0.44 trades per week. Out of 23 closed trades, the winning trades percentage was 43.48%. Overall, the backtesting results showcase a potentially profitable trading strategy with steady returns and manageable risk.

Mastering Backtesting for Houlihan Lokey Investments

1. Acquire historical data for HLI's stock price and relevant market indices.
2. Choose a backtesting software or platform to conduct the analysis.
3. Input data into the software, specifying the time period and trading strategy.
4. Analyze the results of the backtest to see how the strategy performed.
5. Make any necessary adjustments to the strategy based on the backtest results.

Examining Transaction Costs Impacting HLI Backtesting

Transaction costs play a crucial role in HLI backtesting, as they can significantly impact the performance of a trading strategy. When conducting backtesting, it is important to consider transaction costs such as brokerage fees, slippage, and market impact. These costs can eat into potential profits and should be carefully accounted for in order to accurately assess the viability of a trading strategy. Failure to accurately incorporate transaction costs into backtesting results can lead to unrealistic performance expectations and ultimately, poor decision-making in actual trading scenarios. As such, it is essential to include transaction costs in the backtesting process to ensure that the results provide a more accurate reflection of the strategy's true profitability.

Testing ML models for HLI success

Backtesting machine learning models for HLI involves testing the model's performance on historical data. This helps evaluate how well the model would have performed in the past. By using past data to simulate trading strategies, HLI can assess the model's accuracy and reliability. It is important to use a variety of data sets to ensure the model can handle different market conditions. Backtesting is crucial for identifying any weaknesses in the model and making improvements before using it in real-time trading. Additionally, backtesting allows for adjusting parameters and fine-tuning the model to improve its overall performance. It is a necessary step in the development and validation of machine learning models for HLI.

Evaluating HLI Strategy Amid Market Fluctuations

Analyzing HLI strategy performance during volatile periods is crucial for investors. During times of uncertainty, understanding how HLI's strategies have performed can provide valuable insights.

By looking at HLI's historical performance data, investors can assess its ability to weather market fluctuations. It is important to analyze the factors that have influenced HLI's performance during volatile periods.

Examining HLI's risk management practices and decision-making process can help investors make informed decisions. By comparing HLI's performance to industry benchmarks, investors can gauge its relative strength.

Ultimately, analyzing HLI's strategy performance during volatile periods can help investors determine whether it is a suitable investment option for their portfolio.

Adjusting Backtesting for Trading Costs at HLI

When backtesting a trading strategy for HLI, it's important to factor in trading fees.

High trading fees can significantly impact the performance of a strategy over time.

Incorporating these fees into the backtesting process allows for a more accurate representation of potential returns.

Be sure to account for both commission fees and any additional costs, such as slippage.

Failure to include trading fees can lead to misleading results and unrealistic expectations.

By adjusting for these costs, you can ensure that your backtested results are more reflective of real-world conditions.