MACD Strategy Backtest on NASDAQ

A backtest of the MACD strategy on the NASDAQ Composite that optimizes parameters, charts equity and drawdown, and benchmarks it against buy-and-hold.

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Start with this prompt

A three-month backtest of the MACD strategy on the NASDAQ Composite that optimizes the short and long parameters for risk-adjusted return, reports drawdown and volatility, benchmarks against buy-and-hold, and charts the equity curve.

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Analyze the performance of the MACD trading strategy on the NASDAQ Composite Index over the past three months. The specific requirements are as follows:
1. MACD Parameter Optimization:
Adjust the short-term and long-term parameters of the MACD strategy to identify the optimal combination that maximizes returns or improves risk-adjusted performance (e.g., Sharpe ratio).

2. Backtesting and Key Performance Indicators:
Backtest the MACD strategy on the historical data of the NASDAQ Composite Index, considering transaction costs and market volatility.
Calculate key metrics such as total return, annualized return, maximum drawdown, and volatility to assess the strategy's performance.

3. Strategy Comparison:
Compare the returns of the MACD strategy with the buy-and-hold strategy and other common technical analysis strategies (e.g., moving average crossovers, RSI, Bollinger Bands) to evaluate its effectiveness.

4. Backtest Result Visualization:
Create equity curves and drawdown charts to showcase the performance of the MACD strategy and provide an analysis of the backtest results.

Run it on the S&P 500

Repoints the same MACD backtest at the S&P 500 Index, re-optimizing the parameters and redrawing every equity and drawdown chart for the new index.

Remix in Deep Research

Analyze the performance of the MACD trading strategy on the NASDAQ Composite Index over the past three months. The specific requirements are as follows:
1. MACD Parameter Optimization:
Adjust the short-term and long-term parameters of the MACD strategy to identify the optimal combination that maximizes returns or improves risk-adjusted performance (e.g., Sharpe ratio).

2. Backtesting and Key Performance Indicators:
Backtest the MACD strategy on the historical data of the NASDAQ Composite Index, considering transaction costs and market volatility.
Calculate key metrics such as total return, annualized return, maximum drawdown, and volatility to assess the strategy's performance.

3. Strategy Comparison:
Compare the returns of the MACD strategy with the buy-and-hold strategy and other common technical analysis strategies (e.g., moving average crossovers, RSI, Bollinger Bands) to evaluate its effectiveness.

4. Backtest Result Visualization:
Create equity curves and drawdown charts to showcase the performance of the MACD strategy and provide an analysis of the backtest results.

Widen the strategy bake-off

Expands the comparison into a full bake-off that pits MACD against buy-and-hold, moving-average crossovers, RSI, Bollinger Bands, and a Stochastic Oscillator, all ranked by Sharpe ratio.

Remix in Deep Research

Analyze the performance of the MACD trading strategy on the NASDAQ Composite Index over the past three months. The specific requirements are as follows:
1. MACD Parameter Optimization:
Adjust the short-term and long-term parameters of the MACD strategy to identify the optimal combination that maximizes returns or improves risk-adjusted performance (e.g., Sharpe ratio).

2. Backtesting and Key Performance Indicators:
Backtest the MACD strategy on the historical data of the NASDAQ Composite Index, considering transaction costs and market volatility.
Calculate key metrics such as total return, annualized return, maximum drawdown, and volatility to assess the strategy's performance.

3. Strategy Comparison:
Compare the returns of the MACD strategy with the buy-and-hold strategy and other common technical analysis strategies (e.g., moving average crossovers, RSI, Bollinger Bands) to evaluate its effectiveness.

4. Backtest Result Visualization:
Create equity curves and drawdown charts to showcase the performance of the MACD strategy and provide an analysis of the backtest results.

Stretch to five years

Extends the window from three months to five years, testing whether the optimized MACD parameters hold across bull, bear, and sideways market cycles.

Remix in Deep Research

Analyze the performance of the MACD trading strategy on the NASDAQ Composite Index over the past three months. The specific requirements are as follows:
1. MACD Parameter Optimization:
Adjust the short-term and long-term parameters of the MACD strategy to identify the optimal combination that maximizes returns or improves risk-adjusted performance (e.g., Sharpe ratio).

2. Backtesting and Key Performance Indicators:
Backtest the MACD strategy on the historical data of the NASDAQ Composite Index, considering transaction costs and market volatility.
Calculate key metrics such as total return, annualized return, maximum drawdown, and volatility to assess the strategy's performance.

3. Strategy Comparison:
Compare the returns of the MACD strategy with the buy-and-hold strategy and other common technical analysis strategies (e.g., moving average crossovers, RSI, Bollinger Bands) to evaluate its effectiveness.

4. Backtest Result Visualization:
Create equity curves and drawdown charts to showcase the performance of the MACD strategy and provide an analysis of the backtest results.

Start with this prompt

Try Deep Research

Analyze the performance of the MACD trading strategy on the NASDAQ Composite Index over the past three months. The specific requirements are as follows:
1. MACD Parameter Optimization:
Adjust the short-term and long-term parameters of the MACD strategy to identify the optimal combination that maximizes returns or improves risk-adjusted performance (e.g., Sharpe ratio).

2. Backtesting and Key Performance Indicators:
Backtest the MACD strategy on the historical data of the NASDAQ Composite Index, considering transaction costs and market volatility.
Calculate key metrics such as total return, annualized return, maximum drawdown, and volatility to assess the strategy's performance.

3. Strategy Comparison:
Compare the returns of the MACD strategy with the buy-and-hold strategy and other common technical analysis strategies (e.g., moving average crossovers, RSI, Bollinger Bands) to evaluate its effectiveness.

4. Backtest Result Visualization:
Create equity curves and drawdown charts to showcase the performance of the MACD strategy and provide an analysis of the backtest results.

Run it on the S&P 500

Repoints the same MACD backtest at the S&P 500 Index, re-optimizing the parameters and redrawing every equity and drawdown chart for the new index.

Remix in Deep Research

Analyze the performance of the MACD trading strategy on the NASDAQ Composite Index over the past three months. The specific requirements are as follows:
1. MACD Parameter Optimization:
Adjust the short-term and long-term parameters of the MACD strategy to identify the optimal combination that maximizes returns or improves risk-adjusted performance (e.g., Sharpe ratio).

2. Backtesting and Key Performance Indicators:
Backtest the MACD strategy on the historical data of the NASDAQ Composite Index, considering transaction costs and market volatility.
Calculate key metrics such as total return, annualized return, maximum drawdown, and volatility to assess the strategy's performance.

3. Strategy Comparison:
Compare the returns of the MACD strategy with the buy-and-hold strategy and other common technical analysis strategies (e.g., moving average crossovers, RSI, Bollinger Bands) to evaluate its effectiveness.

4. Backtest Result Visualization:
Create equity curves and drawdown charts to showcase the performance of the MACD strategy and provide an analysis of the backtest results.

Widen the strategy bake-off

Expands the comparison into a full bake-off that pits MACD against buy-and-hold, moving-average crossovers, RSI, Bollinger Bands, and a Stochastic Oscillator, all ranked by Sharpe ratio.

Remix in Deep Research

Analyze the performance of the MACD trading strategy on the NASDAQ Composite Index over the past three months. The specific requirements are as follows:
1. MACD Parameter Optimization:
Adjust the short-term and long-term parameters of the MACD strategy to identify the optimal combination that maximizes returns or improves risk-adjusted performance (e.g., Sharpe ratio).

2. Backtesting and Key Performance Indicators:
Backtest the MACD strategy on the historical data of the NASDAQ Composite Index, considering transaction costs and market volatility.
Calculate key metrics such as total return, annualized return, maximum drawdown, and volatility to assess the strategy's performance.

3. Strategy Comparison:
Compare the returns of the MACD strategy with the buy-and-hold strategy and other common technical analysis strategies (e.g., moving average crossovers, RSI, Bollinger Bands) to evaluate its effectiveness.

4. Backtest Result Visualization:
Create equity curves and drawdown charts to showcase the performance of the MACD strategy and provide an analysis of the backtest results.

Stretch to five years

Extends the window from three months to five years, testing whether the optimized MACD parameters hold across bull, bear, and sideways market cycles.

Remix in Deep Research

Analyze the performance of the MACD trading strategy on the NASDAQ Composite Index over the past three months. The specific requirements are as follows:
1. MACD Parameter Optimization:
Adjust the short-term and long-term parameters of the MACD strategy to identify the optimal combination that maximizes returns or improves risk-adjusted performance (e.g., Sharpe ratio).

2. Backtesting and Key Performance Indicators:
Backtest the MACD strategy on the historical data of the NASDAQ Composite Index, considering transaction costs and market volatility.
Calculate key metrics such as total return, annualized return, maximum drawdown, and volatility to assess the strategy's performance.

3. Strategy Comparison:
Compare the returns of the MACD strategy with the buy-and-hold strategy and other common technical analysis strategies (e.g., moving average crossovers, RSI, Bollinger Bands) to evaluate its effectiveness.

4. Backtest Result Visualization:
Create equity curves and drawdown charts to showcase the performance of the MACD strategy and provide an analysis of the backtest results.