ETF Swing Trading Results

Backtester Results
Real Money Results

2025 Backtest Results - Win/Loss Data by Strategy

Win/loss data from the ETF Sector Data backtester. The backtester uses real ETF pricing data. Here's more information about each of these entry strategies.

trending_up 2025 ETF Swing Trade Results square: win square: breakeven square: loss
Strategy	Win/Loss
52 Week Lows
50 Day Lows
Williams %R
Rate of Change
Super Oversold
Mega Dump

2025 Backtest Results - Selected Winning Trades

For a more comprehensive analysis of backtest results visit BTFDBot.

money_bag ETF Winning Swing Trades Results for 2025
ETF / Buy Signal	Buy/Sell Dates	Profit	CAGR

Latest Real Money ETF Trading Results

This video shows my ETF swing trading strategies plus the results to date:

Hi I'm Brett. I'm a science graduate of the University of London and also completed a PhD in Biotechnology at the University of Nottingham. I've been a software developer since 1997 and an investor in stocks since 1998. I've developed software applications for a wide range of organisations including the University of Essex and FTSE100 companies including BP and Unilever. I also spent time working for a leading City of London insurance company and have taught programming at high school and university level.

Back in 2002 I established a successful B2B software business from scratch. More recently I started a popular programming channel on YouTube.

I have built ETF Sector Data from scratch using a commercially available source of daily stock price data. There's no fancy AI on this site, just tried and tested simple quantitative mathematical functions that have themselves been widely used for the last 100 years.

I had the inspiration for this website after subscribing to Salty Dog Investor. Many of their subscribers have juiced their portfolio returns by following a very simple strategy of buying into whatever markets are gaining momentum, and selling out of markets that are losing momentum.

An additional source of inspiration was viewing the annual performance of UK listed investment unit trusts on the TrustNet website. I soon realised the winners in one year are not often winners in subsequent years. In fact, a year's winners often fizzle out and generate poor returns in subsequent years. An example is technology, which soared in 2020 only to significantly underperform in 2022.

If you are interested in swing trading then check out my other stock data related site: BTFD Bot.