
The History of the Most Profitable Trading Strategy of 2022
Trend following has a long history of success that goes well beyond the stellar returns of the past year.
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Author | Raposa, |
Stats | Has published 111 posts about trading |
Trend following has a long history of success that goes well beyond the stellar returns of the past year.
Use the moving average distance indicator to determine how strong your trend is and trade accordingly.
Trend following had a tremendous 2022 and many of the underlying fundamentals remain in place in 2023. Will this year be a repeat?
7 questions to ask yourself to determine how much you can invest in a trading strategy.
Learn the rules to build a fully-automated trend following trading system that outperforms the S&P; 500.
The world of algorithmic trading is vast and can be overwhelming. Learn how you can get started in just minutes without knowing how to code!
Donchian channels are the original trend following indicator and we show you 3 strategies you can use today!
You can get access to markets around the world for your trend following system by using ETFs to replicate a futures strategy.
Learn how to apply a momentum trading strategy to the constituents of the S&P; 500 by buying what has the highest momentum!
Learn how to use the PSAR to time your entries for a trend following or momentum trading system.
This tutorial shows you how to build and backtest your trend following system in under 5 min.
We show how an algorithmic trading strategy can help protect you in a bear market.
Risk and uncertainty in markets are on the rise, but there are a few strategies you can embrace to navigate challenging times.
You ran a backtest, now what? How do you know if you should trade this strategy in the markets or try again? We provide some guidelines for algo traders!
Learn how the Hurst exponent can be used to determine if a market is best for a momentum or mean-reversion strategy and the time frame you should trade it.
Learn how to use the Kelly Criterion to optimize your trading strategy with examples in Python.
Many traders focus on news and fundamentals when making their trades. Research into the market shows that this may be a good way to lose money fast!
Mark Spitznagel lays out his criteria of a safe haven investment, but how do you actually find one? We walk through it with examples in Python.
Learn how to evaluate trades according to their risk profile and how you should think holistically about your portfolio.
Safe Haven Investing is all about finding ways to reduce your risk while also increasing your returns and your long term wealth. It's a win-win. You're richer and sleep well at night.