Squeeze Momentum Indicator (by LazyBear)
I decided to backtest this strategy because it is the most popular strategy in TradingView right now, and I wanted to try coding a bit of strategy on Pinescript.
So how does it work?
You simply pay attention to the crosses and the histogram bars!
If the cross was black and turned grey, follow the trend of the histogram, and exit when the shade of bar turns darker.
I’ve marked the points where you should be placing your orders and exits on the screenshot below.
That’s it! But how profitable is it really? Well, let’s see.
I wrote a simple strategy on TradingView following the rules of the indicator to backtest several instruments.
Here’s how it looks like backtesting the strategy on Apple stocks on a two-hour timeframe for last week.
Apple (Stocks)
- 3M timeframe for last week triggered 14 trades, 50% profitable. extending the backtest to the week before drops it to 38% profitable. Not interesting.
- 45M for last week triggered winning trade. Extended the backtest to whole of November, it triggered two trades, dropping the profitable % to 50%. Same results with 1H timeframe
- 2H is probably to most interesting one. Backtested for whole of November, triggered 4 trades, all winners. Pushed the backtest to start from June, and it’s still high, 70% profitable.
GBPUSD (Forex)
- I used GBPUSD as my sample for forex. Indicator performed really bad, most of the results didn’t stand out to me because they had a less than 50% profitable.
- 45M from 1st November triggered 8 trades, 62% profitable. This is the highest % I could find.
BTCUSD (Crypto)
- Of course we can’t go without testing cryptocurrency!
- 45M had the highest profitable %, 9 trades triggered this week with 77.7%. However it drops down to 56% if started from November, and drops even further to 40% if started from June.
Quite boring results actually, I thought BTC would have a lot more % since its the most volatile, but it turns out, the number of times a trade is triggered does not make the profitable % better. Perhaps I will have better luck testing it on stocks.
More info on the concept and its origins from the original author’s post.
All thoughts are welcome!