What Metric Should You Be Optimizing For?

Is running out of buying power... actually good?Here's the graph of buying power mentioned in the episode:Is Running Out of Buying Power A Good Thing?

How many trades should your strategy take and how profitable should each one be?There are two distinct approaches to answering this question, and most profitable traders fall into one camp or the other.

Should you restrict your strategy to trade a certain list of symbols?In a surprisingly heated debate, Michael and Dave discuss this topic and different reasons for each approach.

Looking at your P&L while you're trading is toxic.  This also applies when looking at someone else's results - perhaps even more so.

Be wary when going from backtest to live trading.  You're at peak optimism, and if you're not careful, disappointment awaits.In this episode, we discuss all the ways a live trading can fall short of your backtest and what you can do about it.

How to get out of backtest world and make the next steps to get your strategy live.

The second episode in our series on creating profitable strategies using backtesting.We review:How most traders backtest the wrong wayHow to add columns to your backtestWhat columns make the most senseHow your "library of columns" gets more and more valuable over time

The first episode in a mini-series on how to create a trading strategy using backtesting.

We discuss Dave's recent experience using ChatGPT to create the Strategy Cruncher, a tool for optimizing your trading strategies.Prediction market for who will have the best AI model by the end of the year.

Every trader has an opinion on what the perfect metric is to evaluate a strategy and to optimize on.We discuss our favorites and why.