Technical analysis module
Technical analysis is the structured study of market price, volume, volatility and recurring behaviour. It helps traders describe what a market is doing without claiming certainty about what it must do next.
Charts can reveal trends, ranges, momentum changes and areas where previous buying or selling activity appeared. They cannot eliminate uncertainty, guarantee execution or replace risk management.
Read structure
Identify whether price is trending, ranging or moving without clear structure.
Mark context
Review timeframe, volatility, liquidity and significant historical areas.
Build a scenario
Describe what would confirm or invalidate the analytical idea.
Plan execution
Define entry conditions, exposure, invalidation and possible execution risks.
Review outcome
Separate decision quality from the profit or loss produced by one result.
What Is Technical Analysis?
Technical analysis is the study of market-generated information, primarily price, volume and volatility.
Rather than beginning with a company’s financial statements or an economy’s long-term condition, technical analysis begins with the behaviour already visible in the market.
It may be used to examine:
- trend direction;
- market structure;
- historical reaction areas;
- momentum;
- volatility;
- volume participation;
- possible entry and exit conditions; and
- the point at which an analytical idea is no longer valid.
Technical analysis does not require the belief that markets repeat in an identical way. It assumes only that market behaviour may create observable structures that can be organised and studied.
A chart can help define scenarios and risk boundaries. It cannot establish that one future outcome is certain.
What Technical Analysis Cannot Do
Technical analysis cannot remove uncertainty from a market. Any pattern, indicator or level can fail.
It cannot guarantee:
- that a trend will continue;
- that support will hold;
- that resistance will reject price;
- that a breakout will remain valid;
- that a stop order will execute at the selected level;
- that historical relationships will continue; or
- that a technically sound decision will produce a profit.
Charts also cannot show every relevant risk. Regulatory announcements, platform outages, company disclosures, geopolitical events and sudden liquidity changes may alter market behaviour immediately.
A trader may identify the broader trend correctly but enter at an unfavourable price, use excessive leverage, underestimate volatility or experience poor execution.
Common Types of Trading Charts
Line chart
Connects selected prices, usually closing prices, to present a simplified view of direction and long-term movement.
Bar chart
Displays opening, high, low and closing prices for each selected period.
Candlestick chart
Presents the same open, high, low and close data through a visual body and upper and lower wicks.
Line charts
Line charts reduce visual detail and can make broad direction easier to see. They are useful when intraperiod movement is less important than the overall path of closing prices.
Bar charts
Bar charts show the full price range for each period. A vertical line represents the high and low, while small horizontal marks identify the opening and closing levels.
Candlestick charts
Candlestick charts make the relationship between the open and close visually prominent.
A candle does not explain why price moved. It records the result of buying and selling during one selected period.
Timeframes and Chart Compression
A timeframe defines how much market activity is represented by each candle, bar or data point.
For example, one candle may represent one minute, one hour, one day or one week.
The same market can appear bullish on one timeframe and bearish on another.
A short-term decline may be a small correction inside a broader rising trend. A short-term rally may occur inside a longer-term falling market.
Using a one-minute chart to justify a long-term investment or a weekly chart to control a very short-term execution can create a mismatch between analysis and action.
Understanding Market Structure
Market structure describes the sequence of meaningful price highs and lows.
The purpose is not to label every small fluctuation. It is to identify whether price is producing a recognisable directional sequence or remaining inside a range.
Uptrend
A sequence that generally produces higher swing highs and higher swing lows.
Downtrend
A sequence that generally produces lower swing highs and lower swing lows.
Range
A market moving between broad upper and lower boundaries without sustained direction.
Swing highs and swing lows
A swing high is a local price peak surrounded by lower prices. A swing low is a local trough surrounded by higher prices.
Their importance depends on timeframe, distance travelled, trading activity and what happened after the level formed.
Trend continuation
An uptrend remains structurally intact while price continues to produce meaningful higher lows and higher highs.
A downtrend remains structurally intact while lower highs and lower lows continue.
Possible structure change
A broken swing level may suggest that the existing structure is weakening. It does not automatically confirm a complete trend reversal.
Price may enter a range, produce a false break or resume the original direction.
Support and Resistance
Support and resistance are areas where price previously experienced a visible change in buying or selling behaviour.
Support
Support describes an area where buying previously became strong enough to slow or reverse a decline.
Resistance
Resistance describes an area where selling previously became strong enough to slow or reverse an advance.
These areas should generally be viewed as zones rather than exact lines. Different participants may act at slightly different prices.
Support does not prevent price from falling, and resistance does not prevent price from rising. They are areas of previous interaction, not guaranteed turning points.
How to Read Candlesticks
Each candlestick summarises price movement during one period.
A candle contains:
- an opening price;
- a closing price;
- the highest traded price;
- the lowest traded price;
- a body between the open and close; and
- wicks extending toward the high and low.
Large bodies
A large candle body indicates that price moved substantially between the open and close of that period.
It does not by itself prove that the movement will continue.
Long wicks
A long wick indicates that price traded away from the body before returning.
This can reflect rejection, volatility, reduced liquidity or a temporary imbalance. Context is required before assigning meaning.
Small bodies
A small body may indicate limited movement between the open and close, uncertainty or temporary balance.
It is not automatically a reversal signal.
A candle near a major structural area can have different significance from an identical candle appearing in the middle of an irregular range.
Volume and Market Participation
Volume measures trading activity during a specified period. The exact meaning depends on the market and data source.
Exchange-traded assets may have centralised volume data. Decentralised, foreign-exchange or broker-based markets may provide fragmented or provider-specific information.
Volume may help examine:
- participation during a breakout;
- activity during a trend;
- interest around a major price level;
- unusual trading events; and
- differences between active and quiet periods.
Increasing volume
Rising volume can indicate greater participation. It does not identify whether future buyers or sellers will remain dominant.
Declining volume
Lower volume may indicate reduced participation, consolidation or a less active trading session.
It does not automatically predict a reversal.
Volume spikes
A sudden volume increase may occur around news, liquidation, earnings, economic data, a breakout or a large transaction.
The event should be interpreted together with price structure and market context.
Technical Indicators
A technical indicator is a mathematical transformation of market data. Indicators reorganise information that already exists in price, volume or volatility.
They do not possess independent knowledge of the future.
Moving averages
Smooth price data over a selected period and may help describe direction, trend persistence or distance from an average.
Relative Strength Index
Measures recent directional momentum within a defined range and may help identify unusually strong or weak movement.
MACD
Compares moving averages and may help visualise changes in momentum and directional relationships.
Average True Range
Measures recent price range and may assist with volatility assessment and risk-distance planning.
Moving averages
A moving average can make the broader direction easier to see by reducing short-term fluctuation.
It reacts after prices have already changed. A faster average responds more quickly but may produce more frequent changes. A slower average reacts less quickly but may remain stable for longer.
Relative Strength Index
The RSI compares recent upward and downward movement.
Terms such as “overbought” and “oversold” do not mean that reversal must occur. A strong trend can remain at an extreme reading for an extended period.
MACD
MACD compares the relationship between moving averages and may be used to examine direction and momentum.
Crossovers can occur after a substantial move has already taken place and may produce false signals during ranges.
Average True Range
ATR estimates recent volatility rather than direction.
A rising ATR suggests that price ranges are expanding. A falling ATR suggests that recent ranges are contracting.
Several indicators derived from the same price data may repeat the same information while creating an illusion of independent confirmation.
Confluence and Confirmation
Confluence occurs when several different observations support the same analytical scenario.
Useful confluence should come from genuinely different information rather than several versions of the same indicator.
Structure
The market is producing a recognisable trend, range or structural transition.
Location
Price is interacting with a relevant historical zone rather than moving randomly in the middle of a range.
Momentum
Recent movement supports or contradicts the broader directional scenario.
Volume or participation
Trading activity provides additional context about the strength or weakness of the move.
Risk boundary
The scenario has a clear condition that would invalidate the original idea.
Confluence can improve the structure of a decision, but it cannot guarantee the outcome.
Multiple-Timeframe Analysis
Multiple-timeframe analysis compares broader market context with a more detailed execution view.
A simple process may include:
- using a higher timeframe to identify broad structure;
- using a middle timeframe to mark relevant zones and current conditions;
- using a lower timeframe only where detailed execution is necessary; and
- ensuring that the risk plan matches the timeframe of the decision.
Higher timeframe
The higher timeframe may show the primary trend, major range boundaries and long-term reaction areas.
Decision timeframe
The decision timeframe should contain the structure used to define the actual analytical idea.
Execution timeframe
A lower timeframe can provide a more detailed entry view but may introduce noise, false breaks and greater sensitivity to spreads and slippage.
Additional detail can encourage overanalysis, late decisions or unnecessary changes to a plan that was originally based on broader structure.
Technical Analysis, Execution and Risk
A complete trading decision requires more than identifying a possible direction.
The plan should also consider:
- the condition required before entry;
- the price or event that invalidates the scenario;
- position size;
- expected spread and slippage;
- market liquidity;
- scheduled economic or company events;
- leverage and margin requirements;
- possible market gaps; and
- the maximum acceptable loss.
Entry condition
An entry condition describes what must happen before exposure is taken. It is different from entering merely because price is near a drawn line.
Invalidation
Invalidation identifies the event or structural change that would make the original analysis no longer reasonable.
Position size
Position size connects price risk with financial risk. A technically logical stop distance can still create an excessive financial loss when the position is too large.
Execution conditions
The actual transaction may be affected by spread, latency, liquidity, order type, platform rules and market volatility.
Risk management determines how much a failed analysis can affect capital. Technical analysis alone does not provide that protection.
Common Technical Analysis Mistakes
Forcing a pattern
A trader decides what outcome is desired and then searches the chart for evidence supporting that view.
Drawing too many levels
When every historical price is marked, the chart stops distinguishing important areas from ordinary movement.
Using indicators without context
An indicator signal is followed without considering trend, range conditions, liquidity or important scheduled events.
Changing the timeframe after entry
A trader moves to another timeframe to avoid accepting that the original analytical idea has failed.
Confusing probability with certainty
A familiar pattern is treated as proof that one specific outcome must occur.
Ignoring trading costs
The analysis appears effective before spreads, commissions, slippage and financing costs are included.
Using excessive leverage
A reasonable analytical idea becomes financially dangerous because the exposure is too large.
Judging skill by one result
One profitable trade is treated as proof of skill, or one loss is treated as proof that the analytical method has no value.
A Practical Technical Analysis Workflow
Start with market context
Identify the instrument, active session, scheduled events, liquidity conditions and relevant timeframe.
Define broad structure
Decide whether the market is trending, ranging, transitioning or behaving without a clear structure.
Mark limited key areas
Select only the historical zones that materially affect the current scenario.
Describe the scenario
Write what would support the idea and what would invalidate it before exposure is taken.
Review risk and execution
Estimate position size, spread, slippage, leverage, stop behaviour and the financial effect of failure.
Wait for the condition
Do not treat an incomplete setup as a completed signal merely because the trader wants to participate.
Record the decision
Save the original chart, reasoning, assumptions, execution details and emotional state.
Review the process
Evaluate whether the decision followed the plan, not only whether the market produced a profit or loss.
Final perspective
Use charts to organise uncertainty, not to deny it.
Technical analysis can help traders describe market structure, compare scenarios and define the point at which an idea is no longer valid.
A complete technical process should include:
- an appropriate timeframe;
- clear market structure;
- limited and relevant price areas;
- context for volume and volatility;
- a scenario rather than a guaranteed prediction;
- a defined invalidation condition;
- realistic execution assumptions; and
- controlled financial exposure.
Indicators and patterns are most useful when they support a disciplined process. They are least useful when they are treated as automatic instructions or promises of profit.
Author
I am Yuriko, a full stack blockchain developer. I got into programming in high school, and have been hooked ever since. I love pushing the boundaries of what is possible with code, and exploring new ways to solve problems.
I am 35 years old, and started my career as a web developer. I soon transitioned into blockchain development, and have never looked back. I am excited about the potential of blockchain technology to change the world, and am committed to doing my part to make that happen.