Practical Experience and Methodology

Understanding Stock Volatility Instead of Predicting Direction

One of the key goals of the training is to teach how to analyze stock volatility and evaluate possible price movement scenarios without trying to predict its direction. This approach allows decisions to be made not based on expectations of “up or down,” but on the current state of the market and the range of acceptable scenarios.

Within the training, we подробно раскрываем our methodologies, developed and validated through many years of practical market experience.

One of the methods we use in everyday work is the analysis of stock price cyclicality.

 

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Cyclicality of Companies as a Factor in Managing an Options Combination

Unlike classical technical analysis, where the main focus is on entry and exit points, we view the stock price and the market itself as a sequence of phases, each with its own characteristics and limitations.

Based on many years of data and proprietary Excel models, we analyze:

• cyclic phases of price movement; 

• the dynamics of price range (high–low) within a cycle; 

• changes in trading volume. 

Practical observation shows that the completion of a stock’s price cycle often coincides with abnormal price range expansion and trading volumes. This is not a trading signal in itself, but serves as important context for managing an options combination.

 

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The Cycle as a Basis for Decision-Making, Not a Signal

It is important to emphasize: cyclicality is not used for timing entries, but as an additional factor when developing an already open options position.

For example, if analysis shows that the current price cycle is close to completion, and the rules allow hedging an in-the-money option, a trader may decide to reduce risk earlier, without waiting for predefined price levels.

In this case, priority is given to risk structure rather than strict adherence to the original scenario.

Thus, the cycle does not dictate action, but adjusts possible decisions within predefined rules.

 

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Nuances That Matter

The training is not based on a single parameter or indicator. In real work, many nuances are considered, including:

• desynchronization of price and volume peaks; 

• differences in cycle behavior across market regimes; 

• the impact of news and corporate events. 

 

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Desynchronization of Price and Volume Peaks

This is a situation where price highs and volume highs do not occur at the same time.

In other words:

• price reaches a new high without a corresponding increase in volume
  or 

• volume rises sharply while price no longer continues moving 

 

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Why This Matters

Volume reflects market participation.
Price is the result of that participation.

When they stop moving in sync, it often indicates a change in market phase.

 

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Examples

🔹 Example 1: Price rises, volume declines

• the stock reaches a new high 

• trading volume is lower than in previous moves 

What this may indicate:

• the move is supported by fewer participants 

• momentum is weakening 

• the cycle may be close to completion 

For you, this is not a “sell” signal, but context:
the risk of further movement increases.

 

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🔹 Example 2: Volume rises, price stalls

• a sharp increase in volume 

• price does not make a new high or low 

What this may indicate:

• redistribution of positions is occurring 

• large players are entering or exiting 

• the market is preparing for a regime change 

This often precedes range expansion.

 

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🔹 Example 3: Volume peak precedes price peak

• volume spikes first 

• then price makes a final move 

Interpretation:

• the active phase has already passed 

• price is catching up to activity 

• the cycle is close to completion 

 

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Differences in Cycle Behavior Across Market Regimes

This means that price cycles of the same stock behave differently depending on the overall market condition.

In other words:
the same cycle pattern may develop differently in different market environments.

 

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What Are Market Regimes

Examples:

• trending market 

• range-bound market 

• high volatility environment 

• low volatility environment 

• stress periods (news, macro events) 

A stock’s cycle always develops within one of these regimes.

 

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How Cycle Behavior Changes

🔹 In a trending market

• cycles are extended in time 

• corrections are shallow 

• maximum expansions may occur mid-cycle 

Conclusion:
cycle completion is less obvious, and the risk of premature decisions is high.

 

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🔹 In a range-bound market

• cycles are shorter and more symmetrical 

• price ranges and volume cluster near boundaries 

• cycle completion is more distinct 

Conclusion:
cycles are clearer, and risk management is simpler.

 

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🔹 In high volatility

• cycles may break or overlap 

• volume spikes are irregular 

• peaks are unstable 

Conclusion:
cycles provide context but require conservative management.

 

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🔹 In low volatility

• cycles compress 

• movements are slower and fragmented 

• expansions occur outside typical structure 

Conclusion:
it is important to be prepared for regime shifts.

 

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Impact of News and Corporate Events

External events can drastically alter the expected behavior of a cycle, regardless of its stage.

In other words:
even if a cycle appears near completion, news can accelerate, extend, or completely disrupt it.

 

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Events to Monitor

🔹 Corporate events:

• earnings 

• guidance 

• M&A, splits, buybacks 

🔹 Macro events:

• central bank decisions 

• economic data 

• industry news 

 

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Impact on Cycles

🔹 Structural disruption
Events may:

• increase volatility sharply 

• cause price gaps 

• shift price and volume peaks 

 

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🔹 Accelerated cycle completion
Events may:

• release accumulated pressure 

• lead to extreme range expansion 

 

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🔹 Cycle extension
Events may:

• sustain momentum 

• extend cycle duration 

 

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Conclusion:
Before major events, options positions should remain within acceptable price balance.

 

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Final Note

This is why training is based on structured, tabular analysis rather than signal indicators.

Excel models allow traders to see the market as a system of interconnected parameters, rather than a set of “buy/sell” commands.