Identifying When a Stock is (Precisely) Oversold - The Stock Trigger in Argan Inc
Argan Inc (NYSE:AGX) and Technical Analysis: Identifying When a Stock is (Precisely) Oversold - The Buy the Oversold Stock Trigger
Date Published: 2021-01-27
Disclaimer
The results here are provided for general informational purposes from the CMLviz Trade Machine Stock Option Backtester as a convenience to the readers. The materials are not a substitute for obtaining professional advice from a qualified person, firm or corporation.Preface: Using Charts and Computations Simultaneously to Buy the Dip
An "oversold" condition takes on many forms in the world of technical analysis, but following market mantras is insufficient for a trader looking to be data driven and precise.Rather than pluck a market mantra out of the air, like "RSI below 30 is oversold," we tested a specific set-up, across a decade and half of data and tens of thousands of backtests.
In this case we identified a different result. This doesn't mean it's a trigger now, it means when it has happened, that has led to historically good returns, and in particular, good risk adjusted returns.
These is one two technical requirement for the open and then one for the close of the backtest:
Open
Here is the set-up in Stock TradeMachine®.
Close
And here is the close rule:
Translated from an image into words:
Open Trigger
1. Wait until the day that the 14-day RSI drops below 25 (this is very rare).
Close Trigger
2. Wait until the 14-day RSI gets above 40 (from below 25) or 22 trading days have passed, whichever of those two closing rules happens first.
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CML Efficiency Score™
At Capital Market Laboratories (CMLviz), we created a standardized reward to risk measurement for backtests called the CML Efficiency Score™ (ES).The ES takes the average trade return from each triggered backtest (the 'reward') and divides it by the maximum drawdown (the risk).
The max drawdown is measured as the largest open-to-trough decline in the value of a backtest for each new opening trade.
Our view is that an CML Efficiency Score above 0.80 is very good and above 1.0 is excellent. A number above 1.0 indicates that the average return is in fact larger than the maximum realized loss.
Do technical analysis on purpose with Stock TradeMachine® (for free).
5-Year Backtest Results: Oversold RSI in Argan Inc
Here are the results of a long stock position held either for 22 trading days (about one calendar month) or until the RSI climbs back above 40, tested over the last 3-years in Argan Inc:| AGX: Long Stock for One-Month | |||
| % Wins: | 100% | ||
| Wins: 4 | Losses: 0 | ||
| CML Efficiency Score™: | 3.23 | ||
| Return: | 21.6% | ||
Tap Here to See the Back-test
The mechanics of the Stock TradeMachine® are that it uses end of day prices for every back-test entry and exit (every trigger).
We see 4 wins and 0 losses with a total backtest return of 21.6%.
We note an CML Efficiency Score™ above 1.00, which is excellent.
One-Year Backtest Results: Oversold RSI in Argan Inc
Here are the results of that same trigger, but focused on just the last year:| AGX: Long Stock for One-Month | |||
| % Wins: | 100% | ||
| Wins: 1 | Losses: 0 | ||
| CML Efficiency Score™: | max | ||
Tap Here to See the Back-test
We note that the CML Efficiency Score reads 'max', which means that at no point during any of the triggered trades was there a drawdown below the opening price.
This makes the ES calculation the average backtest return / 0, which is undefined, or 'max.' It's certainly above 1.0.
This technical event (RSI dips below 25) happens infrequently and if the event is of interest, setting an alert in Stock TradeMachine® is a great way to have a computer do the market scanning for you.
Next Steps
If you use Technical Analysis, be precise. This is free, so: Tap here to try Stock TradeMachine®.Risk Disclosure
Past results are not necessarily indicative of future results. The risk of loss in trading can be substantial, carefully consider the inherent risks of such an investment in light of your financial condition.
Please note that the executions and other statistics in this article are hypothetical, and do not reflect the impact, if any, of certain market factors such as liquidity and slippage.