
All "bound" oscillators have upper and lower boundaries.
Which are called
"overbought" upper boundary
"oversold" lower boundary
- Overbought and Oversold refer to the relative extreme levels reached by an asset's price.
- Indicators: Common indicators like the TMO, and the Relative Strength Index (RSI) and Stochastic Oscillator are examples of bound oscillators with overbought and oversold boundaries.
- Interpretation:
- Overbought: the asset's price has risen and is now considered overvalued relative to its recent average. No entry is recommended if the oscillator is in the overbought zone.
- Oversold: the asset's price has fallen and is considered undervalued to its recent average. No entry is recommended when the oscillator has fallen into this basement zone.
- The textbook entry zone is when the stock is above the oversold boundary but below the midpoint and is trending upwards.
- Zero-crossing (Delta of Price): bullish when crossing above midpoint (the midpoint is 'usually' zero but can also be 50 or something else).
- Signal Line Crossing (Variance in Price): bullish when crossing from below to above the oscillator's moving average.
- Direction Change: bullish reversals, as long as not overbought.
They are generally used together.
- Direction Change Trading is the most traditional use of oscillators. New traders call this: going from red to green.
- Zero-crossing is used to verify that the triggers from your other indicators now have momentum.
- Signal-crossing, when an oscillator crosses its average, is a sign that a change is a-coming but only works when not in chop. (not to be used on the lowest timeframes due to lag).
On a middle timeframe, encroaching on Signal-crossing.
It is important to take the time to coordinate the input settings to optimize the oscillator lines w/ your strategy and with your other indicators.
To determine if an oscillator brings value, analyze it over different timeframes, across history and with multiple instruments.
Pros: When a stock trends, oscillators provide the best profitable entry / exit zones.
Cons: When a stock is ranging; when price has no support and there is no trend; oscillators are rife with perceived false signals.
Trend and support are a day traders catalysts
https://usethinkscript.com/threads/must-know-market-drivers-catalysts.20243/
What new traders call "false signals" occur when using oscillators incorrectly!
Oscillators must have: confirming trend and price support and not at resistance on your other timeframes.
Backtesting of Oscillators is not necessary. Results for all oscillators are approximately the same. They are highly successful when a trade has support and trends; and not successful without these elements.
Signals are more accurate on higher timeframes (less noise).
Use of chart timeframes of 5-min or lower will yield suboptimal results.
More reading:
https://usethinkscript.com/threads/...-profitably-in-thinkorswim.11497/#post-151218
Success rates can be increased by the addition of non-collinear studies
Last edited: