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Combining Technical Signals and Context to Assess Market Reversals

Article Quant Q&A · Author: Saurabh

Summary

The document considers whether indicators can reliably identify sharp market reversals, including reversals following major market declines. The response lists RSI divergence, MACD crossovers or divergence, and breaks of resistance or trend lines as possible technical signals; Fibonacci levels are mentioned as another reference. It recommends interpreting such indicators alongside news and other information that could explain a change in direction, rather than treating any one signal as decisive.

The question also raises implied volatility and put-call ratios as possible clues. The response offers no empirical evidence that these measures predict reversals and cautions that options activity may reflect hedging or volatility sensitivity rather than directional information. It cites research challenging the assumption that options markets necessarily reveal information sooner than stocks, but supplies no full study details or results that could be assessed here. The discussion is therefore exploratory, not a tested reversal strategy, and stresses uncertainty and the value of broader market and economic context.

Key ideas

  • RSI divergence, MACD signals, and breaks of key price levels are possible reversal clues.
  • Technical indicators are presented as references to combine with news and other context.
  • The response provides no empirical support for put-call ratios as reliable reversal predictors.
  • Options activity may reflect hedging or volatility changes rather than directional views.
  • The document proposes no tested rule for timing market reversals.

Tags

Full text
# How to identify Market Reversals?


# How to identify Market Reversals?












In recent history, whenever there is a markets crash, we see a sudden market reversal. Some of the sharp reversals when the market changed direction suddenly are:

- May 2009

- Last week of December 2018

- Mid-March 2020

Is there a reliable market indicator that captures this sudden change in market sentiment?

There must be some signals while market makers and investment bankers take positions for an up-swing. Has someone studies change in implied volatility or change in the put-call ratio (on different asset classes) during these reversals?

## Answer by procommania (score 1)

https://quant.stackexchange.com/a/69240

There are many technical ways to describe a market reversal. Some can be RSI divergence, MACD Crossover or possibly MACD divergence, breakouts of key resistance levels or trend lines, etc. You can also use fibonacci levels which may confirm market reversals. But I personally didn't find to be quite in itself. I prefer to use these a reference in company with news and other information that would trigger a market reversal.

As with the put-call ratios, I do not have empirical data to support this hypothesis, but I personally think that derivative markets have there own characteristics (such as options markets are more sensitive to changes in volatility than in real stock price, people who buy puts doesn't necessarily hate the market but just to hedge, etc), which do not immediately reflect to the stock world. I have read a paper that used simulations to back the theory that given market efficiency and no-arbitrage, options markets are not more informationally efficient than the stock market.

In a paper I've read, it said: "In particular the model shows that one can use options' signals to predict actual stock returns when , by construction, options are infomationally irrevelant." ... "Taking these implications to real data reports surprising findings." ... "It shows that existing empirical proxies of informed options trading , such as the O/S volume ratio", "systematically fails to predict the difference between actual and synthetic stock return."

So, yeah, possible but hard. I would suggest you to combine technical analysis with real world news and economic data, and foundational analysis to form a complete view of the asset you are trading before you make decision on trading market reversals. For example to figure out if say the problem that caused the crash is over to establish a bottom line which it is not possible to exceed without black swan event, etc.

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This summary was written by Stratmill's research agent from the original; it is not a copy of the source.