Does the Past Shape the Future of the Chart?
A Different Perspective on Market Behavior, Price Structure, and the Future
By Mojtaba Nayebpour
Owner of ZarSignal | Technical Trader and Analyst
From a Simple Question to a Different Way of Looking at the Market
I have spent years studying charts, following price movements, looking for patterns, and trying to understand where the market has come from and where it might be heading.
Over time, however, one question began to occupy my mind more than the others.
Why does the market sometimes move more slowly than we expect, even when the conditions seem to favor a stronger move? Why do certain price movements, when viewed across different timeframes, appear to be parts of a larger structure? And why can movements that initially seem random look different when we look back at them later?
For a while, I wondered whether some hidden force was guiding the market along a particular path, almost as if someone were arranging its movements according to a predefined design.
Today, I see the question differently.
Perhaps we do not need to assume that someone is designing the chart. Perhaps market history itself plays a role in shaping what comes next.
I do not consider this a scientifically established conclusion. It is a perspective that has emerged from observing market behavior, and one that I believe deserves closer examination.
When we look at an asset, we tend to focus on its current price. But that number does not tell the whole story.
The market has taken a particular path to reach that price. Along the way, buyers and sellers have made decisions, expectations have changed, orders have been executed, and prices have repeatedly reacted to different levels.
Imagine gold reaching a particular price after a prolonged rally. Would that be the same situation as gold reaching that price after a sharp decline?
The number might be identical, but the circumstances are different. Market positioning, expectations, buying and selling pressure, and potential reactions may all differ.
So why should we expect the market to behave in exactly the same way simply because the current price is the same?
This is one reason I have come to see historical prices as more than a record of completed events.
The past is over, but its effects do not necessarily disappear.
What we observe in the market today may partly reflect decisions and positions that developed days, weeks, or even months ago.
If that is the case, the market's future cannot be entirely independent of the conditions inherited from its past.
2. Does the Chart Predict the Future, or Is History Shaping the Conditions for What Comes Next?
Technical analysis often relies on historical patterns to anticipate future price movements. But I believe there is another question worth asking.
Perhaps the issue is not simply whether the market will repeat a pattern it formed in the past.
Perhaps the more important question is what produced that structure in the first place, and whether the same forces are still present.
An uptrend is more than a sequence of rising candles. During a rally, expectations change, traders establish new positions, others exit the market, and reactions to different price levels can influence subsequent decisions.
Over time, these developments become part of the market's current condition.
Perhaps the deeper value of a chart lies not only in recognizing familiar shapes, but also in understanding the relationship between the path already taken and the paths that remain possible.
I am not suggesting that the future is already written.
My point is that understanding what comes next may require a deeper understanding of the history the market carries with it.
Perhaps a chart does not show us the future. Perhaps it shows us the structure with which the market enters the future.
To me, that is an important distinction.
3. Are Different Timeframes Parts of the Same Story?
One aspect of technical analysis that has always interested me is the relationship between different timeframes.
A long-term chart may show a clear uptrend. When we move to lower timeframes, however, we begin to see corrections, fluctuations, and even short-term downtrends within that larger movement.
What appears to be the end of a trend on one timeframe may turn out to be only a correction on a higher one.
This raises an important question: are market structures across different timescales connected?
Smaller price movements contribute to the path eventually visible on a larger chart. At the same time, the broader structure helps us understand the context in which smaller movements occur.
This does not mean that a higher timeframe always controls a lower one, or that short-term direction can be determined simply by looking at a long-term chart.
But I believe it is worth investigating whether measurable relationships exist between these different scales.
If such relationships are present, we may be able to study the market as a layered structure rather than treating every chart as an entirely separate picture.
This is one of the aspects of market behavior that interests me most.
Sometimes economic conditions, news, or our calculations of intrinsic value suggest that an asset should move in a particular direction.
Yet the market does not move as expected.
Price pauses, corrects, or remains within a range for a while. Later, another movement develops, and its relationship with the preceding structure becomes easier to understand when we look back.
In such situations, it can feel as though the market needs to take a different route before reaching its eventual destination.
But does the market actually slow down to complete a pattern?
This is where we need to distinguish observation from interpretation.
A chart has no independent intention. We cannot look at a technical pattern and conclude that price is deliberately preparing for its next move.
Instead, we can investigate whether liquidity, order concentration, traders' stop-loss levels, market positioning, and cascading reactions help explain why price sometimes moves more slowly or more quickly under particular conditions.
If these factors are related to historical price structure, they may help explain why certain movements develop within particular market conditions.
I find this question more useful than simply claiming that the market needs to complete a chart pattern.
When we observe recurring structures and similarities across historical charts, it can be tempting to assume that some hidden force must be directing the market.
But order does not necessarily require a designer.
Financial markets emerge from the interaction of traders, investors, financial institutions, trading algorithms, and economic decision-makers. Each acts according to its own information, objectives, and constraints.
No single participant necessarily knows the entire path the market will take. Yet their decisions, taken together, can produce patterns that we can observe and study.
A reaction to a particular price level may influence other traders. The resulting price movement may then change expectations and affect subsequent decisions.
Over time, a structure can emerge that no individual participant deliberately designed.
This has changed the question I ask myself.
Rather than asking who is creating the chart, I prefer to ask how the market's history may influence the conditions for its next movement.
Perhaps understanding market order does not require us to search for a hidden designer. Perhaps it requires us to understand the process through which that order emerges.
When I began comparing this idea with existing research, I found connections with several important schools of thought in financial economics.
Eugene Fama's work on market efficiency examined how information is reflected in prices and whether historical price information can be used to earn persistent excess returns.
In a 2000 paper, Andrew Lo, Harry Mamaysky, and Jiang Wang developed systematic methods for identifying technical patterns and reported that certain patterns contained incremental information in the data they studied.
Benoît Mandelbrot examined the fractal characteristics of financial markets, drawing attention to the statistical properties of price fluctuations across different scales.
George Soros, through his theory of reflexivity, explored how traders' perceptions and expectations can influence market reality while also being influenced by it.
These theories are not interchangeable, and none of them independently proves the entire perspective presented here.
What interests me is that each, in its own way, challenges the idea that market behavior can always be understood as a collection of completely isolated prices.
Market behavior may depend on history, expectations, trading structures, and the interactions among different participants.
The question I want to pursue is whether these relationships can be identified in price charts and used in a way that can be tested objectively.
I believe an observation becomes more valuable when we can turn it into a clear question and test whether it holds up.
For example, we could investigate:
- Do price structures on higher timeframes contain information about movements on lower timeframes?
- Can the history of a trend change the probability of continuation or correction?
- Does the speed of price movement display measurable patterns under certain historical structures?
- Do these relationships appear across different markets and periods?
- Does useful information remain after accounting for news, liquidity, and transaction costs?
These questions need to be answered using actual market data and statistical testing.
If the results support the hypothesis, we can speak more confidently about the role of historical market structure. If they do not, the idea must be revised.
In my view, the purpose of technical analysis should not be limited to finding a familiar shape on a chart.
The more important question is what information that structure provides—and whether the information is useful when making real trading decisions.
Conclusion: The Past Is Over, but Its Influence May Continue
Today, when I look at a chart, I see more than a sequence of past price movements.
I see the path the market has taken—a path that may continue to influence traders' behavior, market positioning, and present conditions.
This does not mean that the future is certain or that the market must repeat its previous patterns.
But perhaps the future does not begin from a completely independent starting point either.
The market enters each new moment carrying its history.
Perhaps the real skill in technical analysis is not predicting the future with certainty, but understanding which parts of the past still matter when interpreting the present and assessing what may come next.
I see this perspective as a starting point, not a final answer.
The question that remains with me is this:
Are we using charts to predict the future, or are we discovering a structure through which market history helps shape it?
As a technical trader and the owner of ZarSignal, I believe this question deserves to be explored beyond personal experience, through data and research.
The final answer may not yet be clear. But I believe the question itself can change the way we look at charts.
References for Further Reading
1. Eugene F. Fama — Efficient Capital Markets: A Review of Theory and Empirical Work
The Journal of Finance, May 1970.
Read the paper
2. Andrew W. Lo, Harry Mamaysky & Jiang Wang — Foundations of Technical Analysis
The Journal of Finance, August 2000. The NBER working paper appeared in March 2000.
Read the research
3. Benoît Mandelbrot & Richard L. Hudson — The (Mis)Behavior of Markets
Book published in 2004.
View the book record
4. George Soros — The Alchemy of Finance
Book published in 1987; relevant to the theory of reflexivity.
Book information and text
5. Nazário et al. — A Literature Review of Technical Analysis on Stock Markets
The Quarterly Review of Economics and Finance, November 2017.
Read the paper
Note: This article presents the author's perspective and a hypothesis for further investigation. The cited works relate to aspects of the argument but do not establish the entire proposition as proven.
