Swing Trading Alongside Work: Time, Capital and Risk

Swing Trading Alongside Work: Time, Capital and Risk

A Buddha figure wearing headphones sits at a desk with a laptop and coffee in the evening, with a lit city beyond.
Swing TradingFoundations

Trading that fits your life

This article explains what swing trading involves, why it can fit alongside a job, how much time and capital it needs, and which strategies TradeNeon teaches. The swing trading programme allows around 30 minutes for the daily trading routine; learning takes additional time. The programme is currently offered in German.

A daily routine gives the market a place in your schedule.Image: TradeNeon

After a long day at work, at university or in training, you come home. You briefly open the markets and immediately find yourself drawn in again.

Then the thought arrives: “Surely I don't have time for this.” Trading means extensive research, constant focus and endless screen time, doesn't it?

Many people imagine trading as a full-time occupation, with hours spent studying charts and anxiously clicking. It is understandable that it can seem out of reach when you have a job.

There is another way to approach it. Trading need not be frantic when you choose a suitable method. One discipline in particular relies on planning, patience and structure rather than constant presence: swing trading.

01

What swing trading means

Swing trading is a form of trading in which positions are held for several days or even weeks. The aim is to take part in medium-term price movements, the “swings” in a market.

Unlike day trading, where trades are often closed within minutes, swing trading seeks to trade larger market phases: moves that develop over several days and may show a clearer structure.

This can make the routine more predictable with less screen time. Swing traders do not watch the market constantly. They look for setups with a suitable risk–reward ratioThe potential gain compared with the planned loss on a trade. A potential gain of USD 100 against a planned loss of USD 50 gives a ratio of 2:1; it says nothing about the chance of either outcome.. Decisions are often made outside trading hours, in the evening or at weekends.

Swing traders often analyse four-hour or daily charts. Their analysis uses many of the same principles as short-term trading, but over a longer horizon. Support and resistance, trend lines and Fibonacci retracements can all play a part.

There are often fewer signals. Some swing traders take only a few positions a week, others only a handful a month. The sensible number depends on the system and market conditions; careful preparation does not replace risk control.

Here is a brief comparison to make the difference clearer:

CriterionDay TradingSwing Trading
Holding periodMinutes to hoursDays to weeks
Analysis intervalOne to 15 minutesFour-hour to daily chart
Trading frequencySeveral trades per dayFewer trades per week
Managing open positionsDuring the trading sessionAt defined daily times

Swing trading is not a compromise between day trading and investing; it is a discipline in its own right. It combines analysis with strategic patience. It can suit people with jobs when the daily routine and the risk fit their lives.

02

How it fits around a job

Many swing traders follow a weekly rhythm. They often do their main analysis at the weekend: selecting markets, preparing setups and setting alerts. During the week, they put their plan into practice and check whether positions need attention.

That is what can make swing trading workable alongside everyday life. The market continues while you do other things. You check your positions at defined times instead of intervening constantly, while retaining responsibility for the risk.

There can also be a psychological advantage. Watching fewer price changes may give you more distance from each move and help you avoid impulsive decisions. Patience and discipline are still required.

Swing trading uses less screen time than day trading, but it requires the same care with analysis, position size and risk.

The discipline lies in preparing well, rather than being present at every moment. Trading needs to fit into your life, rather than the other way around.

03

Time, capital and returns

The current TradeNeon swing trading programme gives concrete figures for its six systems. The programme itself is currently offered in German.

Daily routine
30 min
for all six systems; learning time comes on top
Starting capital
EUR 3,000
for stock systems; options systems from EUR 10,000
Returns
10–40 %
an ambitious annual-average orientation after the learning year, never a promise

Time. TradeNeon budgets about 30 minutes per day for the routine across its six systems. A single system may take less. During the first months, videos, practice, live sessions and learning the software add time. The half-hour figure is not the total time needed to learn trading.

Capital. TradeNeon states starting capital of EUR 3,000 for the stock systems and EUR 10,000 for the options systems. That capital must not be needed for living costs. You still set a position size and loss limit for every trade.

Returns. TradeNeon describes 10–40% average annual return as an ambitious orientation from its practice for well-trained traders after the learning year, applying tested systems and risk rules consistently. It is not a forecast for an individual reader. Losses, including loss years, are possible. The first year is for learning without a return expectation. See the real-money performance and its context.

Keep the numbers in context

Results depend on the system, market conditions and execution. Neither a historical result nor a risk rule guarantees a future return.

04

Approaches used in swing trading

Swing trading involves recognising recurring market structures and using them systematically. The aim is to check selected setups against defined rules, rather than catch every move. A system should specify the entry, exit and risk before a trade is placed. Even a well-founded trade can lose.

TradeNeon continues to develop approaches for different market mechanisms. The following examples cover commodity data, Fibonacci zones, options and stock momentum. They represent different disciplines; none is profitable in every market phase.

Trading commodities: how positioning data can reveal trends

Commodity markets rarely move without a reason. Changes in the behaviour of large market participants can be behind major price moves. TradeNeon's commodity system combines fundamental data with chart analysis.

What counts as fundamental data? We examine several kinds of information:

  • CoT dataWeekly aggregated positioning reports published by the US Commodity Futures Trading Commission from positions reported by firms. They describe positioning, not a stand-alone entry signal.: reported positions, grouped and published by the CFTC.
  • Seasonality: recurring patterns at certain times of the year.
  • Futures curvesThe prices of futures contracts for the same underlying market across different expiry months.: prices for different contract months in the same market.
  • Market dynamics: how prices develop as conditions change.

When large market participants change their positions, CoT data may reveal a shift. We observe these changes and look for confirmation in the chart before a setup becomes relevant.

Our aim is to assess medium-term moves in liquid commodity markets such as gold, oil and copper according to the system's rules and, where appropriate, take part in them.

In the training programme we use Futures Insights to prepare CoT data, seasonality and other market information for analysis. The trader interprets the data and makes the trading decision.

The CFTC publishes CoT reports on reportable futures positions. They show positioning, but are not an entry signal by themselves.

Fibonacci system: finding structure in a market move

Trends rarely move in a straight line. A move can be followed by a correction. Some systems look for an entry there, but a retracement cannot guarantee that the trend will continue.

How do we identify a potential reversal zone? We combine classic Fibonacci retracements with supply and demand. The volume profile is an important part of that analysis: it shows where trading activity was concentrated and which price areas may matter.

When price and volume tell a coherent story, a possible zone for trend continuation can become visible. Any position still follows a defined risk and exit rule.

The point is to assess market structure instead of reacting to a line drawn on the chart alone. Corrections can create opportunities, but the setup can fail.

Historical four-hour silver futures chart with Fibonacci retracements, volume profile and moving-average lines.
Historical chart example. Silver futures on a four-hour chart with Fibonacci zones, a volume profile and moving-average lines; not a current trade recommendation.

Options: understanding premiums and risk

Options strategies can consider volatility, trend and fundamental data. An option premium is not predictable profit: market moves, time to expiry and execution can all lead to losses.

For example, an optionA time-limited contract: the buyer acquires a right for a premium, while the seller takes on a contractual obligation. The two sides carry different risks. can refer to a broad stock index such as the S&P 500. Before entry, we assess market conditions and set the risk and exit rules.

Time-value decay can be one part of a sold-options strategy. Collecting a premium does not automatically limit the possible loss.

A rule-based system defines when a position is opened, adjusted or closed. Loss phases are possible even with such rules.

Current offer

The Lab of Trades currently describes the Opening Put in its Argon options module. Its availability and rules are on the product page. An option premium is never a guaranteed return.

Stock momentum: identifying strength and following trends

MomentumThe tendency for a price move to continue for a time. It can reverse and is not a prediction by itself. is central to this approach. Many investors think of the stock market like a supermarket: buy as cheaply as possible and wait for a higher price.

Stocks are not consumer goods, however. Their value does not depend on how cheap they appear. Buying a falling stock is a bet on a reversal, yet there are often reasons for the low price. A lower price alone does not make a share attractive, just as a recent rise cannot guarantee further gains.

Rising prices can signal strength. TradeNeon's stock-momentum system looks for shares outperforming the wider market and assesses whether that strength offers a setup within its rules.

Several indicators check whether a move fits the system or looks more like a short-lived excess. A share becomes interesting only when trend, momentum and market conditions align. Even then, the move can end.

The idea is to measure relative strength and trade by fixed rules while it persists. The system includes an exit when momentum weakens, though a timely exit is never guaranteed.

05

The practical conclusion

Swing trading is neither half-hearted trading nor a shortcut to quick success. It is a considered way to understand markets and act with structure. Learning it shows how much depends on preparation, patience and careful execution rather than constant activity.

A fixed daily routine can be helpful for people with jobs. You can plan decisions and check positions at set times; market risk remains between those checks.

With experience, you can assess your process better and put individual results into perspective. Whether that produces a long-term profit also depends on market conditions and consistent risk management.

That brings us to the end. Thank you for reading, and I wish you good trades.

Until next time,
Simon

Frequently asked questions
What is swing trading?

It is an approach that typically holds positions for days or weeks to take part in medium-term market moves. The holding period does not remove market risk.

Can I swing trade alongside a job?

It can fit around work if you can follow a defined daily routine and give decisions your attention. TradeNeon budgets about 30 minutes per day for its six systems, with extra learning time during the programme.

How much capital do I need?

TradeNeon states starting capital of EUR 3,000 for its stock systems and EUR 10,000 for its options systems. Use only capital you can afford to lose.

What returns can I expect?

Do not treat a published range as a personal expectation. TradeNeon's 10–40% annual-average range is an ambitious orientation for trained traders after the learning year, not a guarantee. Losses remain possible.

What is different from day trading?

Day trading generally closes trades within one session and requires attention during that session. Swing trading holds positions longer and uses planned checks, while accepting overnight exposure.

Check the market context
Market Radar brings 15 indicators into one view of the broader stock-market environment. Use it to inform your own analysis, not as a trading signal.
Explore Market Radar
Market Radar chameleon with red, yellow and green light across its head
Simon Reichert
Simon Reichert
Swing trading coach · TradeNeon
Simon Reichert is a swing trading coach at TradeNeon. He studied International Business Management, worked in finance and auditing, and has traded actively since 2022. His focus is swing trading, the broader market context and risk management.
Can Trading Make You Rich? Myth Versus Reality

Can Trading Make You Rich? Myth Versus Reality

A man in a dark suit looks directly at the camera and holds an open briefcase of banknotes; a luxury car stands behind him.
TradingPerspective

Can trading make you rich? Do the maths

Luxury cars, faraway places and stories of fast profits are everywhere in trading content. They are not a useful planning baseline. This article looks at the arithmetic behind the promise, the costs that get left out and the choices a trader actually has.

The briefcase is the promise; the numbers behind it are what matter.Image: TradeNeon

Not a sprint.
A skill to develop.
Four myths, the real costs and three approaches to compare.
Show contents

The images speak to a deep wish: financial freedom, self-determination and a life without the usual constraints. No boss, no obligations, and apparently full control over your time and money.

Some traders do live that way. But we cannot compare our own chapter one with somebody else's chapter 27. Between those chapters lie a long learning curve, setbacks and considerable discipline, not a shortcut.

The point of this article

The full calculation behind the goal includes time, capital and risk. It gives you a basis for deciding whether this path fits your life.

01

Four common myths

Some trading stories sound too good to be true, and most are. They are appealing because they offer easy answers where the work is difficult. People may give up after a few months because they started with expectations that could never hold. A realistic view of the work is a better foundation. Let us examine four common myths.

Myth 1: A small account becomes a fortune quickly

A vintage slot machine with blank reels in a dark room, with abstract light trails behind it.

Broker advertising and glossy social posts can make it seem as if a few hundred euros could turn into a fortune if you find the right moment.

Consider the arithmetic: even if a EUR 1,000 account grew by an exceptional 10% in one month, that would be EUR 100 before costs and tax. This is a hypothetical example, not an achievable or repeatable returnAn investment gain or loss relative to the capital invested, usually expressed as a percentage. assumption, and not enough to live on.

Position size is the missing part of many fast-wealth stories. As an illustration, 1% account risk on EUR 1,000 is EUR 10 per trade. That is an example, not a universal rule. At a limited stake, a small account can grow only in small steps.

Some traders try to speed that up by making their positions disproportionately large. The possible loss grows with them, and one loss can wipe out previous gains. Our position sizing guide explains how size and risk interact.

A small account will not turn into a fortune overnight, even for an experienced trader. With disposable money, though, it can be a place to practise under real stakes: manage emotions, cope with setbacks and keep following a plan. Those skills matter more than a quick win.

Myth 2: Trading is passive income

This claim sounds less dramatic: make a few clicks in the morning and watch the account grow while you do something else.

Trading is not passive. It takes preparation, analysis, risk control and regular review. Markets change; an approach that works under one set of conditions can fail in another. Even with semi-automated tools, the trading decision remains with the trader.

The difference

Thinking of trading as effortless income hides the time involved, the losses and the decisions you still have to make. A defined process helps you compare expectations with actual results.

Myth 3: One perfect strategy exists

Four anonymous silhouettes consider an empty chalice on a pedestal in a dark room.

The search for the one strategy, indicator or signal that works in every market phase has cost many traders years. There is no such secret. An approach may have a statistical advantage under defined conditions, but you need to recognise when those conditions change and review the results.

A collection of setups gives you rules. An education also teaches you to understand a setup's assumptions, limitations and risks, and to examine its rules when the market changes.

Myth 4: An account can scale without limit

Many traders size positions as a share of their account. As the account grows, the positions grow too. That looks logical on paper, but scaling indefinitely can become a psychological strain during losses.

A 10% loss is USD 1,000 on USD 10,000, USD 10,000 on USD 100,000 and USD 100,000 on USD 1 million. The same percentage can feel entirely different. Will you continue to follow your rules, or start questioning a system even though its method has not changed? A rules-based system can also have long losing periods; whether or when it recovers is uncertain.

There is another calculation: losses are asymmetric. Once the base is smaller, the percentage gain needed to recover is larger. After a 20% fall it takes 25%; after 50%, it takes 100%; after 80%, it takes 400%. None of these recoveries is assured.

−20% → +25%
gain needed on the remaining balance
−50% → +100%
the remaining balance must double
−80% → +400%
five times the remaining balance

That is one reason some traders decide when to withdraw profits instead of making positions ever larger. You can define loss limits and withdrawal rules before trading. The amounts you can bear, financially and psychologically, depend on your circumstances and risk tolerance.

02

What trading costs before it earns anything

The cost side is often missing from claims about getting rich through trading. Trading can cost money before it brings any in. Leaving those expenses out makes the calculation misleading.

  • Disposable capital. Money needed for living costs does not belong in a trading account. TradeNeon currently cites EUR 5,000 as a starting point for a personal day trading account.
  • Chart and order-flow software. Costs depend on the platform and its features. The German-language day trading programme includes LOI ES for twelve months; the current programme page lists potential extras.
  • Market data. Separate feeds may be needed depending on the market, brokerAn intermediary through which you place buy and sell orders in financial markets. and system. TradeNeon currently lists a Dealer Hedging feed for the optional Market Maker system at USD 35 a month for participants; other exchange data may cost extra.
  • Hardware. You do not need a control room. A reliable computer and connection matter more than a wall of screens. Check your platform's requirements; our hardware guide shows possible setups.
  • Time. Preparation, learning, monitoring and review have a real opportunity cost.
Tax belongs in the calculation

Tax treatment depends on your residence, instruments and circumstances. A qualified tax adviser can assess your case. This article does not provide tax advice.

03

Three approaches with different demands

Does this mean you cannot earn money from trading? No. Day trading, swing trading and options offer different opportunities, but each requires time, energy, capital or patience. None guarantees a positive result.

The intensive route
Day trading
Time and attention · own account from EUR 5,000
The planned route
Swing trading
Patience and capital · stock systems from EUR 3,000
The complex route
Options
Learning time · distinct contractual risks

Day trading: pace, discipline and mental resilience

Day traders open and close positions within a trading day. Many are drawn to the immediate feedback. It is the approach most often associated with the fast-money myth, yet patience and structure matter more than lucky trades.

What you put in above all is time. You need to study markets, practise setups and learn from errors. That intensive work can give you a close view of how markets move, though the learning process has no guaranteed result.

TradeNeon's current German-language day trading programme cites EUR 5,000 of disposable capital for a personal account. Micro futuresStandardised contracts with defined terms and an expiry date. Micro versions have a smaller contract value. allow smaller contracts but do not limit losses by themselves. The programme cites around EUR 15,000 of own capital for its optional Market Maker system. Some proprietary trading firms offer account-based models instead. Check their fees, payout terms and actual loss limits; an advertised account size is not your available risk budget.

Swing trading: structure instead of constant screen time

Swing traders hold positions for days or weeks. This can fit around work or studies: you prepare your analysis and make deliberate decisions instead of watching every minute.

What you put in is patience, daily attention and disposable capital. A setup can take days to develop; you still have to follow your plan. TradeNeon's current German-language swing trading programme cites starting capital of EUR 3,000 for stock systems and EUR 10,000 for options systems. These are figures for those systems, not universal thresholds. Positions remain exposed overnight despite a planned routine.

Options: more possibilities, more depth

With optionsTime-limited contracts: buyers acquire a right for a premium; sellers accept an obligation. Each side has different risks., a method can consider time and volatility as well as rising or falling prices. Options can be used in sideways markets or to hedge a portfolio. Selling them may bring in a premium, but it creates obligations and potentially substantial losses. A premium is not predictable income.

Options also show why no secret indicator determines success. You need to understand the instruments you use, including time value, implied volatilityThe expected future price movement implied by an option's market price. It influences the option's value. and margin, and learn how the risks change from one structure to another.

Which approach suits you depends on your time, capital, experience and risk tolerance. Our guide to day trading paths offers a first comparison.

04

What “rich” means to you

One question rarely gets asked: what exactly do you mean by “rich”?

In many conversations, the answer is not a number. It is a wish for more independence: choosing when the day begins or making a decision without asking permission. That is about self-determination, which may matter well before an account reaches a million.

The distinction matters. “Getting rich” can remain a distant, shifting goal. Learning to make structured decisions is a skill you can develop and retain even when a market changes.

Trading will not change your life overnight. Whether it contributes to greater financial freedom remains uncertain and depends on capital, losses, costs and your actual results. You can still develop the skill of checking decisions and limiting risk.

See the real account, including the losses
TradeNeon publishes the performance of an account used for the systems it teaches. Past results are not a forecast for your account.
View real-money performance

You do not have to study this alone. TradeNeon's day trading and swing trading programmes teach a structured process and risk assessment. They are currently offered in German; this English article is for general education.

We are glad you are here.

Frequently asked questions
Can trading make you rich quickly?

It is not a reasonable planning assumption. A small account produces a small cash amount even at an exceptional percentage return, while larger positions increase potential losses.

Is trading passive income?

No. It requires preparation, decisions, monitoring and risk control. Semi-automated tools do not remove the trader’s responsibility.

Does one perfect strategy exist?

No method works in every market phase. Even a method with a statistical advantage needs ongoing review.

Why do losses require larger gains to recover?

After a 50% loss, the remaining balance must gain 100% to return to its starting value. After an 80% loss, it needs a 400% gain.

What does trading cost?

It uses disposable capital and time; platform, data, broker and hardware costs depend on your chosen approach.

How much capital do I need?

TradeNeon currently cites EUR 5,000 for a personal day trading account. In its swing trading programme, stock systems start from EUR 3,000 and options systems from EUR 10,000. These are programme figures, not universal thresholds.

What determines the outcome?

No single factor does. Your method, the market, execution, costs and risk management all affect the result. Discipline and continued learning matter, and losses remain possible.

Simon Reichert
Simon Reichert
Swing trading coach · TradeNeon
Simon Reichert is a swing trading coach at TradeNeon. He studied International Business Management, worked in finance and auditing, and has traded actively since 2022. His focus is swing trading, the broader market context and risk management.
Trading Hardware: What You Really Need

Trading Hardware: What You Really Need

Neon-lit trading computer components: case, motherboard, graphics card, memory, processor, power supply and cooling.
TradingPractical guide

Trading hardware:
What you need

Search for trading hardware and you soon get the impression that you need a futuristic office with four monitors, lights and a high-end computer. It looks impressive. But do you need a control room to trade? Probably not.

From case to graphics card: components are tools for your trading workflow.Image: TradeNeon

No control room.
A tool.
From the first question to two practical setups.
Show contents

How much technology do you need to trade? Less than the online pictures of control rooms suggest. A trading computer does not have to impress anyone. It needs to work reliably while you analyse charts and enter orders. Whether your current laptop is enough or a new workstation makes sense depends on your trading style and software.

The essentials

Choose your platform first and check its current system requirements. Then plan memory, an SSD, display connections and a reliable internet connection for your actual workload. There is no universal trading PC, monitor count or latency target for everyone.

01

Your style, not a catalogue, sets the direction

Before thinking about hardware, answer another question: how do you want to trade? Holding a position for one session or several weeks, using a heatmap or weekly charts — each changes your workflow. Your software and the number of views open at once define the technical demands more precisely than the labels “day trading” and “swing trading”.

Day trading: quick decisions, a reliable process

In day tradingIn day trading, positions are opened and closed again within a single trading day., you watch prices in real time and may keep charts, market data, an order book and order entry open together. The system should respond under your normal workload, and you should be able to enter an order without hunting through windows. A clear layout and a plan for connection problems help more than a desk with four impressive monitors.

Swing trading: room for research and planning

Swing tradingPositions are held over a period of days to weeks, sometimes even months. gives more room for research, analysis and periodic review. A reliable computer that runs charts, spreadsheets and browser windows smoothly may be enough. But tracking many markets, using multiple data sources or running extensive backtests also calls for spare capacity. The label “swing trading” does not mean that every ageing office computer will do.

Check each application before buying. NinjaTrader Desktop requires Windows and describes different needs for different workloads. TradingView Desktop supports Windows, macOS and Linux. For a Mac, compatibility with your chosen platform comes before any blanket device recommendation.

02

The components that matter

The processor, memory, storage and graphics each do a different job. What matters is whether they support your applications together. First see how your current device performs under a real workload; for a new purchase, you can allow room for more windows and data.

Processor

The processor handles charts, indicators and data. A current multi-core processor is a useful starting point. The old rule that clock speed matters more than core count is too narrow: NinjaTrader says it uses available cores and additional memory according to the workload.

Memory

Memory holds active applications and data. For a new computer, 16 GB is a sensible starting point; 32 GB may help with many charts, data sources or applications running together. These are planning ranges, not universal minimums: NinjaTrader, for example, recommends 8 GB for its desktop app.

Storage

An SSD for the operating system and platform makes sense. Capacity depends mainly on locally stored market data, replays and backtests. An NVMe SSD can move large datasets faster, but an existing SATA SSD does not automatically need replacing. Keep backups on a separate device or suitable backup service.

Graphics

Integrated graphics may handle charts and several displays if your device and ports support the required number and resolution. A dedicated card is not a universal requirement. For demanding graphics, check the application’s needs and test it under load.

An order flowOrder flow refers to the buying and selling of an exchange instrument as it happens in real time. workspace shows why the actual application matters: Bookmap explains how graphics support and refresh rate affect its display. A backtestIn a backtest, a trading strategy is applied to historical price data to check how it would have performed in the past. may instead load the processor, memory and storage. Test each with your own amount of data rather than relying on a generic components list.

03

Displays and connection

How much display space helps you?

One display may be enough for a focused or mobile setup. A second creates room if the chart, order entry and analysis need to stay visible together. A large ultrawide can do the same job. Three or more displays are useful only if you can still read and prioritise the extra information. Plan around your window layout rather than a fixed number.

With size and resolution, readability comes first. More pixels make room for charts, but scaling, viewing distance and font size decide whether you can see the details. Full HD may be enough; 4K is not a prerequisite. Check which resolutions and external displays your computer or dock actually supports.

Your connection is part of the setup

Live data and orders travel over your connection. For short-term trading, a wired connection can avoid Wi-Fi fluctuations when practical. A tested mobile hotspot or second connection may help during an outage. A blanket target of “under 30 ms” or a set download speed says little on its own about the reliability of your connection to the trading platform.

Test before a live order

Do the platform and data feed start reliably? Do charts stay responsive under your normal load? Is order entry easy to read? Do you know how to reach open positions during a power or internet outage?

04

Two setups for orientation

The original shopping lists gave specific models and shop prices. Those details date quickly. The profiles below show the decisions facing a research workstation and a desk with several live windows. They are neither minimum requirements nor ready-made shopping baskets.

ComponentResearch & swing tradingMultiple live windows & day trading
ComputerCurrent multi-core computer, 16 GB RAM as a starting point for a new purchase, SSD.Current multi-core computer; 16–32 GB RAM according to platform, data and parallel applications.
DisplayOne readable display, or a laptop with an external display if more space helps.Clear layout; second display or ultrawide if several windows need to stay visible.
GraphicsIntegrated graphics may suffice if ports and resolution fit.Choose graphics for the platform and displays; test demanding visualisations separately.
ConnectionStable access and a plan for interruptions.Wired if practical, with a tested backup connection and clear outage procedure.

If you prefer Apple

With Apple, you choose a finished configuration rather than interchangeable parts. A Mac mini or MacBook may suit a macOS-compatible platform. Check the software, memory, storage, external display support and dock before buying. A Mac is not a direct solution for Windows-only desktop software such as NinjaTrader Desktop without an additional Windows environment. Blanket advice for or against a MacBook Air, Pro or particular chip generation would miss the point.

And on the move?

A laptop can work for trading if it runs your platform and lets you focus under your normal workload. An external display may help but is not mandatory. Pay particular attention to screen size, ports, cooling under sustained load and your backup connection. A desktop is often easier to upgrade; mobility may still matter more to your routine.

A good setup does not need to look like a control room. It needs to fit your trading style, software and workplace. You can add many things gradually or buy them second-hand. Take your application list and window layout into your purchase research, and confirm compatibility with the provider.

TradeNeon Academy
Let your trading style guide the setup
If you want to explore which trading routine suits you, see the Day Trading and Swing Trading programmes. Both are currently taught in German. Your hardware choices can follow from there.
Common questions
Do I need two monitors for day trading?

No. A second display can help if you need several views at once. What matters is being able to see your chart and order entry clearly.

Can I trade on a laptop?

Yes, if your platform is supported, the machine runs reliably under your normal workload and the screen and ports fit your process.

Do I need a dedicated graphics card?

Not necessarily. Check your programmes and displays. Demanding visualisations may benefit from more graphics power.

Can I use a Mac?

That depends on your software. Some applications run on macOS; others require Windows. Check current system requirements and your complete workflow before buying.

Simon Reichert
Simon Reichert
Swing trading coach · TradeNeon
Simon Reichert is a swing trading coach at TradeNeon. He studied International Business Management, worked in finance and auditing, and has traded actively since 2022. His focus is swing trading, the broader market context and risk management.
COT Data in Trading: How to Read Positioning

COT Data in Trading: How to Read Positioning

Three anonymous figures with object heads arrange unlabelled position tiles on a table.
Swing tradingMarket analysis

COT data in trading: Reading positioning

Who holds long and short positions in the futures market? The weekly Commitments of Traders report offers a partial view. It reveals neither any individual trader's motive nor the next price move. Read in context, it can help you understand positioning and the wider market.

The figures represent trader groups; the tiles represent their reported positions.Image: TradeNeon

Imagine playing poker and finding out afterwards how different groups bet, without seeing any individual player's cards. CoT data offer a similarly limited view: they show past, aggregated positions of reportable trader groups. This article explains who those groups are, how to compare their positions over time, and why that comparison alone is not an entry signal.

01

What are CoT data?

Before going deeper, let's clarify the basics: what are CoT data, and why might you consider them in trading? The CoT reportsWeekly CFTC reports on the open positions of different trader groups as of the preceding Tuesday. were not invented by trading gurus. They are published by the Commodity Futures Trading Commission (CFTC), the US regulator for derivatives markets where, among other instruments, futuresStandardised contracts on an underlying asset with a specified size and expiry. are traded.

The aim is transparency. The CFTC's predecessor began publishing monthly CoT reports in 1962, showing how different groups of market participants were positioned in US futures markets. The first monthly report covered 13 agricultural commodities. The CFTC later continued the series; the reports have appeared weekly since 2000.

Today, the reports cover numerous markets, from gold and crude oil to financial futures. The CFTC normally publishes them on Fridays at 3:30 p.m. US Eastern Time, using positions from the preceding Tuesday; holidays can shift the release. This is not a live data stream, but it consists of reported figures rather than estimates. You see more than the fact that gold's price rose: you see how reported trader groups were positioned. Individual traders and their intentions are not disclosed.

02

Who appears in the CoT report, and what can their positions tell us?

To understand CoT data, distinguish between trader groups. A commodity producer may hedge price risk; a fund may follow another strategy. There are also several CoT report formats.

The groups in the Legacy CoT report

Originally, the report now called the Legacy format was the only CoT report. It broadly divides participants into three groups:

Commercials

Large participants with a hedging interest, such as producers, merchants and processors.

Non-Commercials

Large investors with speculative trading intentions, such as hedge funds.

Non-Reportables

The remaining participants whose positions are part of the market but fall below the reporting threshold.

Why the Disaggregated Report exists

In the Legacy report, physical merchants and financial institutions can appear together as Commercials. For example, a bank hedging an index fund's oil exposure through futures may appear alongside oil companies. In 2009, the CFTC introduced the Disaggregated Report, which separates reportable traders more finely by their predominant business activity. The Legacy report remains available.

The groups in the Disaggregated CoT report

The main groups in the Disaggregated report are:

Producer / Merchant / Processor / User (PMPU)

This group mainly comprises companies whose primary business is connected to the physical commodity market, such as mining companies, agricultural producers and food businesses. They mainly use futures to hedgeTo limit a price risk with an offsetting position; a hedge does not eliminate every risk. business risks. A wheat producer, for example, may sell futures to protect against a fall in crop prices. A large bakery may buy futures to limit its purchase price risk.

PMPU traders can therefore be identified more clearly as a group with a physical business connection. Unlike in the Legacy report, Swap Dealers are not included in this category. That makes the group easier for traders to interpret.

These participants know their industries well. An unusual position can therefore be a clue to their risks and market environment. It does not show whether every position is a hedge, whether PMPU traders think the price is cheap, or whether prices will rise over the medium to long term.

Even within this group, however, the boundaries can blur. Some PMPU traders may use their market knowledge speculatively as well. That does not erase the value of the category, but it does qualify what we can infer from it.

Managed Money

Managed Money includes investment funds, hedge funds and asset managers, for example. The CFTC classifies traders by their predominant business activity. The category alone reveals neither the motive for every position nor a reliable forecast. Changes in this group's positions can still be useful to examine. Their holdings may follow a trend. Common, but by no means inevitable, patterns include:

  • Long positions may increase in rising markets
  • Short positions may increase in falling markets

That can make their movements easier to follow. Depending on the market, changes in their positions may reinforce a trend or provide a warning sign.

Swap Dealers

Swap Dealers trade swaps and other derivatives, including for clients. Their hedges may appear as futures positions in the report. The Disaggregated Report separates them from producers, merchants and processors. Their reported futures position reveals neither the risk of their full book nor their clients' motives.

Other Reportables

This is a mixed group of larger reportable participants who do not fall under Managed Money—for example, family offices or very well funded private investors. Their strategies differ, making them harder to interpret. At times they may act like speculators, at other times like hedgers.

Non-Reportables

This is the calculated residual for positions held by traders below the reporting threshold. The report does not tell us how many are private traders. Their share of open interestThe number of futures or options contracts still open; it is not daily trading volume. varies by market and reporting date.

03

How should you analyse CoT data?

A net position says little on its own. A comparison with earlier reports shows whether a group was unusually positioned. Two hundred thousand net short contracts may be ordinary in one market and remarkable in another. You need a historical series to judge the difference.

Analysing CoT data manually or with software

If you enjoy working with tables and do not mind updating data regularly, you can go straight to the source. The CFTC offers a free CoT data environment. You can filter reports by market and period and export data; HTML reports and historical files are also available.

The catch is that the reports are extensive. If we open the Disaggregated Futures Only report for the Agriculture sector as an HTML page, we get a view like this:

WHEAT-SRW - CHICAGO BOARD OF TRADE                                                                                                               Code-001602
Disaggregated Commitments of Traders - Futures Only, May 20, 2025
-------------------------------------------------------------------------------------------------------------------------------------------------------------
     :          :                                              Reportable Positions                                                      :   Nonreportable
     :          :  Producer/Merchant/ :                                :                                :                                :     Positions
     :   Open   :   Processor/User    :          Swap Dealers          :         Managed Money          :       Other Reportables        :
     : Interest :   Long   :  Short   :   Long   :  Short   :Spreading :   Long   :  Short   :Spreading :   Long   :  Short   :Spreading :   Long  :  Short
-------------------------------------------------------------------------------------------------------------------------------------------------------------
     :          :(CONTRACTS OF 5,000 BUSHELS)                                                                                            :
     :          :    Positions                                                                                                           :
All  :   478,028:    90,281     55,748     70,078      5,531     20,498     93,184    193,725    111,715     34,517     33,602     22,615:   35,140    34,594
Old  :   470,119:    88,187     53,760     69,739      5,792     20,017     91,913    194,524    109,879     36,381     33,179     19,513:   34,490    33,455
Other:     7,909:     2,094      1,988        816        216          4      3,107      1,037          0        184      2,471      1,054:      650     1,139
     :          :                                                                                                                        :
     :          :    Changes in Commitments from:       May 13, 2025                                                                     :
     :    -3,459:    -5,953      6,044     -1,238        161      1,837      5,063    -14,937      6,035     -3,368     -1,842     -1,664:   -4,171       907
     :          :                                                                                                                        :
     :          :    Percent of Open Interest Represented by Each Category of Trader                                                     :
All  :     100.0:      18.9       11.7       14.7        1.2        4.3       19.5       40.5       23.4        7.2        7.0        4.7:      7.4       7.2
Old  :     100.0:      18.8       11.4       14.8        1.2        4.3       19.6       41.4       23.4        7.7        7.1        4.2:      7.3       7.1
Other:     100.0:      26.5       25.1       10.3        2.7        0.1       39.3       13.1        0.0        2.3       31.2       13.3:      8.2      14.4
     :          :                                                                                                                        :
     :          :    Number of Traders in Each Category                                                                                  :
All  :       370:        84         67         23          7         14         51         80         69         55         43         40:
Old  :       370:        84         66         23          7         14         51         80         67         56         41         40:
Other:        71:        14         25          5          .          .          8          7          0          .         11          9:
     :-------------------------------------------------------------------------------------------------------------------------------------------------------
     :             Percent of Open Interest Held by the Indicated Number of the Largest Traders
     :                          By Gross Position                       By Net Position
     :               4 or Less Traders     8 or Less Traders     4 or Less Traders     8 or Less Traders
     :                 Long:     Short       Long      Short:      Long      Short       Long      Short
     :----------------------------------------------------------------------------------------------------
All  :                 12.3       16.5       21.1       27.4        8.9       11.6       15.0       19.9
Old  :                 12.5       16.8       21.4       27.8        9.0       11.7       15.2       20.2
Other:                 52.5       43.8       68.9       64.0       51.2       43.3       63.2       59.3

Wheat, 20 May 2025. This historical report keeps the dense original layout; scroll sideways on narrow screens. Original CFTC report

This historical report shows why working with raw data takes time: you must select the relevant trader groups and figures and compare them regularly. You can import CFTC files into a spreadsheet yourself or use software. Neither replaces your interpretation of the data.

Two ways to add historical context
Manually

Open CFTC reports, select relevant figures and keep your own overview up to date.

With software

View CoT data alongside other market data in a tool and compare historical positions.

Analysing CoT data: a 2025 example

The Academy example from June 2025 examines soybean meal (ZM). The following historical chart shows the long and short positions of Managed Money. It does not describe current market conditions.

Historical Dry Powder chart of Managed Money long and short positions in the 2025 Academy example.
Futures Insights view from the 2025 Academy example. The dots show historical positions, not current market conditions. Open full size.

White dots mark the positions at that time; coloured dots show earlier values. In the historical comparison, the long position was unremarkable. The short side was unusually crowded. That judgement depends on past values, rather than the absolute number of contracts alone.

Looking at Managed Money's short position at that point, one thing stands out: the group was heavily short. Its short holdings grew during the downtrend shown in the historical example. The CoT report alone cannot tell us whether, or to what extent, that group moved the price.

In the historical Dry Powder MMS (Managed Money Short) image, only one short position in the ten-year period up to June 2025 contained even more short contracts.

The short extreme at the time provided useful market context. It placed no limit on new short positions and did not predict a reversal. CoT data provide clues, not certainty.

Historical Dry Powder Short chart with one white dot above many earlier pink dots.
Short positioning in the 2025 Academy example. The highlighted dot does not describe the current CoT situation. Open full size.

How should you use CoT extremes?

An extreme position is no reason to enter a trade immediately. Positions can become more extreme while a trend continues. Assess the longer-term market context and wait for your own chart setup before entering.

So what should you do? Once you think a long position makes sense from a fundamental perspective, the next step is chart analysis. Only when the market also offers a suitable price area and a clean setup can a CoT idea become a trade. CoT data help with the “what”; the chart helps with the “when.”

Historical candlestick chart with a red frame around a long sideways phase and a green frame around a later breakout.
Simon's chart from the Academy article illustrates the difference between market context and entry timing. No market label is legible in the crop. Open full size.

CoT data in fundamental context

A Managed Money position alone does not describe the entire fundamental picture. Compare it with physical traders' positions, seasonal patterns, the futures curve and other market measures. Several clues can support an idea; they cannot prove the future price direction.

1. PMPU positioning

It is particularly interesting when producers, processors and other PMPU traders also reach a historical extreme. If both groups are unusually positioned, examine the market context more closely; a good trade does not automatically follow.

2. Other important fundamental influences

  • Seasonality: are there typical market moves at certain times of year?
  • The structure of the futures curveA comparison of prices for futures contracts with different expiry dates.: is there contango or backwardation, and what might that say about supply and demand?

3. Broader context

CoT positions can become more useful when you compare them with other variables:

  • Current price: is the market historically expensive or cheap?
  • Number of active participants: are there unusually many or few?
  • Total open interest: how many contracts are open overall?
Second historical Futures Insights view of Managed Money Long and Short Dry Powder values.
Another view of Managed Money positions in the 2025 Academy example. This image does not show current market conditions. Open full size.

How extreme a Managed Money position appears also depends on total open interest. Compare its size with earlier positions and the market phase. The next historical image offers another view of the 2025 example; the subsequent OBOS indicator adds context.

Historical OBOS MM indicator with a timeline from 2015 to May 2025.
Historical Futures Insights view up to May 2025; its design and values are not the current product or market state. Open full size.
04

Which markets are particularly suited to CoT analysis?

Not every market is equally suited to CoT analysis. Reportable physical participants, sufficient open interest and a meaningful historical comparison matter. The following criteria help you choose.

What makes a market suitable for CoT analysis?

Look for markets in which:

01

Commercial interest and physical participants

There is a clear commercial interest in hedging, and commercial participants are active in the physical commodity market.

02

High open interest

A substantial number of contracts remain open. Open interest helps put positions into perspective; a high value does not automatically make a price forecast more reliable.

03

Seasonal patterns and cycles

Historical cycles and seasonal patterns are present. Markets with a seasonal character often show recognisable positioning patterns, which can make CoT data more informative.

Markets of interest to CoT traders

Given those criteria, the following four groups of futures markets are worth examining:

Energy and metals8 markets

These commodities are tied to the physical economy. Examples include:

MarketExchange code
GoldGC
SilverSI
PlatinumPL
CopperHG
Crude oilCL
Natural gasNG
Heating oilHO
Gasoline (RBOB)RB

These markets have strong links to physical demand, sizeable commercial participants and active Managed Money positions.

Agricultural markets9 markets

Grains and soft commodities often show seasonal patterns. Examples include:

MarketExchange code
CornZC
WheatZW
SoybeansZS
Soybean mealZM
Soybean oilZL
CocoaCC (ICE)
CottonCT (ICE)
CoffeeKC (ICE)
SugarSB (ICE)

You may see distinct seasonal phases and positions taken by Commercials against the prevailing price trend, such as buying around harvest lows.

Livestock markets2 markets
MarketExchange code
Live cattleLE
Lean hogsHE

These markets are strongly shaped by biological production cycles. Commercial participants such as feedlots and meat processors often hedge price fluctuations, which can also produce noticeable positions depending on the market and period.

Currency markets6 markets
MarketExchange code
Australian dollar6A
British pound6B
Canadian dollar6C
Euro6E
Japanese yen6J
Swiss franc6S

CoT data can also be informative here, particularly about the speculative positions of large funds. For financial futures, including currencies, the CFTC uses different trader groups in its Traders in Financial Futures report. Participants in these markets may hedge risks as well; the classification simply differs from that used for commodities.

The 26 markets in Futures Insights 2.0

Futures Insights 2.0 groups 26 futures markets into eight classes. The Free Plan gives you gold (GC) with all indicators; paid plans unlock all 26 markets.

Metals4
  • GCGold
  • SISilver
  • PLPlatinum
  • HGCopper
Energy4
  • CLWTI crude oil
  • HOHeating oil
  • RBGasoline
  • NGNatural gas
Livestock2
  • LELive cattle
  • HELean hogs
Currencies5
  • 6EEuro
  • 6BBritish Pound
  • 6JJapanese Yen
  • 6AAustralian Dollar
  • 6CCanadian Dollar
Grains5
  • ZCCorn
  • ZWWheat
  • ZSSoybeans
  • ZMSoybean meal
  • ZLSoybean oil
Soft commodities4
  • KCCoffee
  • CCCocoa
  • CTCotton
  • SBSugar
Indices1
  • ESE-Mini S&P 500
Volatility1
  • VXVIX future
05

Your path to structured swing trading

Calm, efficient and grounded.

In our swing trading programme, you learn to use CoT data, seasonality and price dynamics deliberately—with a clear, adaptable framework rather than rigid strategies.

It is aimed at people who want to understand trading thoroughly and develop their approach over time.

06

Final thoughts

CoT data show past group positions. In historical context, they can inform a market view, but they confirm neither an entry nor a future price direction. A trading decision still needs your own rules and a suitable setup.

If you want to use CoT data, seasonality and other factors in a structured process, you can learn more in our swing trading programme.

Simon and the TradeNeon Academy team

Start with the gold market
Try gold (GC) with all indicators in the Futures Insights Free Plan. When you want to analyse more markets, Futures Insights 2.0 covers 26 in total.

Free · no credit card · upgrade anytime

TradeNeon capybara mascot in a UFO
Frequently asked questions
When is COT data released?

The regular release is Friday at 3:30 p.m. US Eastern time and describes open positions as of Tuesday. Holidays or exceptional circumstances can change the schedule.

Is COT data an entry signal?

No. It describes past group positions. Entry timing, price and risk must come from your own method.

Was the Legacy Report discontinued?

No. The CFTC still publishes both Legacy and Disaggregated reports. They group traders differently.

Does it show what a particular major trader plans to do?

No. It shows aggregated positions and categories, not the intention or strategy of an individual participant.

Simon Reichert
Simon Reichert
Swing trading coach · TradeNeon
Simon Reichert is a swing trading coach at TradeNeon. He studied International Business Management, worked in finance and auditing, and has traded actively since 2022. His focus is swing trading, the broader market context and risk management.
Order Flow in Trading: Understanding Market Moves

Order Flow in Trading: Understanding Market Moves

Anonymous figure with a glass grid head between streams of blue and violet glass beads.
Day tradingMarket mechanics

Order flow in trading:
Understanding market moves

A price chart shows where trading occurred. Order-flow data adds a view of the orders displayed in the book and the trades actually executed. At a price level you identified beforehand, this can help you assess the reaction. It cannot reveal an individual trader's intent.

Displayed orders and executed trades are two different data streams.Image: TradeNeon

Imagine standing beside a river. You can see the water at the surface, sometimes calm, sometimes rushing, while the currents underneath stay out of sight. You may know a similar moment in the market: your setup looks sound, price is about to break out of a range, you enter – and it turns back.

The chart shows where trading took place. An order-flow viewOrder flow concerns changing orders and executions. It shows market activity, but not an individual trader's motives. adds which orders were displayed in the book and which trades actually executed. This can help you examine what happened at a level you selected beforehand. It cannot reveal why a particular trader acted or where price must go next.

After a failed breakout, you may first look to candles, lines or indicators for an explanation. That is where the reversal is visible. To examine how trading unfolded at the range boundary, you need a closer look at executions and the displayed order book. Even those data do not provide a complete story. They add to the chart observation and may challenge a hasty explanation.

The idea behind this article

Market analysis provides the where: a price area where you expect a response. Order flow adds the what: displayed orders, executed volume and price reaction. Together, these observations give context to your decision.

01

What order flow shows – and what it does not

A chart compresses past trades into candles or lines. You see the outcome of a move, but only part of the process. Order-flow tools let you look more closely at what was displayed at individual price levels and what really traded there. In exchange-traded futuresStandardised contracts with a defined underlying market, contract size and expiry., for example, these two kinds of data can be viewed side by side.

Before execution

Displayed limit orders

The order book shows offered buy and sell quantities. They can be added, changed or cancelled. They are not yet traded contracts.

After execution

Actual trades

Executions show where volume changed hands. Price and volume alone identify neither the participants nor their intentions.

A chart and an order-flow view answer different questions. The latter may show whether aggressive buys or sells occurred at a level, whether a lot traded in a narrow area and whether price then progressed. It cannot establish “genuine interest” or a particular hidden intention with certainty. A large displayed order may never execute.

Three questions help with this assessment: Are buyers or sellers entering aggressively? Does price stall despite those executions, or does it progress? And how does the displayed supply on the other side change? Heavy buying does not automatically mean rising prices. Every executed buy has a seller; the amount of liquidity available or replenished on that side also matters.

That is why order flow is no holy grail. Think of it as the screws and nails in a toolbox: useful alongside a plan, market analysis and risk rules. Without a connection to your trading idea, you will find conspicuous patterns everywhere. A brief volume spike or absorption in the middle of a move may simply be market noise.

CME explains how orders, changes and executions update the electronic order book. What depth you can actually see depends on the market, data feed and tool.

02

Why the “what” needs a “where”

Even if you can see what is trading now, a second question remains: where is it happening? For a trading idea aimed at a move lasting more than a few seconds, an arbitrary spike in delta or volume is not enough. You need a defensible area on the chart where a reaction would matter to your thesis.

Mark a support or resistance area, or the edge of a range, before price reaches it. Ask what response you expect and what would challenge your idea. When the market arrives, watch how displayed liquidity, actual trading volume and price progress relate to one another. Strong execution without further progress tells a different story from a breakout that trades through additional levels.

Do not chase every very short-term move. The smaller the time window, the less time you have to check an observation. Before price reaches your area, decide which data and timeframe you will use. A signal without context can tempt you to invent a story only after placing the trade.

1Mark a level

Why does this price area matter to your market analysis?

2Observe the reaction

What happens to executions, displayed depth and price?

3Look for another explanation

Could thin liquidity or a short impulse explain the observation too?

4Limit your risk

A pattern cannot replace a stop or sensible position sizing.

The “where” and “what” work like two interlocking gears. Market analysis shows where you might want to trade; order flow helps you assess the response there. A level you have marked is never a guarantee that the market will react as expected.

03

Reading the order book and heatmap

The order bookA view of displayed buy and sell orders at individual price levels, also called depth of market., or DOM, shows visible limit ordersOrders with a price limit: a buy may fill at or below the limit, a sell at or above it. Execution is not guaranteed. on the bid and ask sides. It is a snapshot. Orders are constantly placed, changed and cancelled. The displayed quantity is neither volume already traded nor a promise that it will still be there when price arrives.

A heatmap plots those displayed quantities over time as coloured traces. Bright areas generally represent more displayed orders in the particular tool. This helps you see where orders rested for longer, which levels price touched repeatedly and where displayed depth fell before price approached. The colour cannot tell you who traded or why an order disappeared.

A heatmap makes changes easier to follow than the flickering numbers in a DOM. A bright trace may show that a large quantity remained displayed at a level for longer. Repeated touches show how price behaved there. A fading trace shows that displayed depth changed. Only with the actual trades can you interpret these observations cautiously. A level that price did not trade through may reflect replenished orders or a lack of aggressive orders.

Historical Bookmap screenshot showing price, horizontal liquidity traces and volume.
Bookmap screenshot from 2025. Bright traces indicate displayed depth in the data feed used then. Open the image for detail; this is not a current market view. Image: TradeNeon.

In this view, Level of Interest added coloured horizontal lines to the heatmap to mark price areas identified through prior market analysis. Those lines are analysis, not executions or evidence of institutional orders. Level of Interest can point to areas worth another look; you assess the reaction there yourself.

If a bright trace fades, order changes and cancellations are possible explanations, as is the way the feed displays depth. That alone does not prove spoofing. CME cautions against using order-book depth alone to measure liquidity. Consider executions, the spreadThe gap between the best available bid and ask prices in a market. and price response too.

Other views

A volume profile groups executed volume by price level. Delta bars and footprint charts show aggressive buy and sell executions within a candle or at each price level. An order-book imbalance compares displayed buy and sell quantities, so it is different from executed volume. You do not need all these views at once. You do need to know what data each one actually shows.

04

What cumulative delta adds

A heatmap mainly describes what was visibly offered in the book. Order-flow delta instead compares aggressively executed buys and sells: trades at the ask are commonly assigned to the buy side and trades at the bid to the sell side. Cumulative delta sums that difference over a chosen period and is often shown as a line beneath the price chart.

If delta rises while price makes little progress at a level, passive sellers may be absorbing aggressive buys. That is a possible clue to absorption, not proof of a particular trader or an imminent reversal. If price rises without a strong delta impulse, several explanations remain possible, including fewer offers on the other side or changing limit orders. A sharp jump in delta indicates increased aggressive volume, but does not establish a single large order.

Three contrasts are particularly useful: pressure without a breakthrough, rising price without a strong delta impulse and a sudden jump in the delta line. All three are useful observations. A single certain explanation would go too far: rising delta with a stalled price does not prove one particular limit seller. A rise without a delta impulse does not prove “hidden strength”. And a sharp jump can consist of several executions. Compare timing, price response and data quality.

The contrast between price and delta makes this view useful. Compare them over the same period and keep your feed's calculation method in mind. Delta shows executed activity; it does not show all resting orders or identify the market participants.

05

Three order-flow patterns in examples

Absorption: much trading, little price progress

Imagine buyers repeatedly trading aggressively at resistance while price barely advances. One-sided delta, high executed volume in a narrow area and little price progress may appear together. Opposing passive limit orders could be absorbing the buying pressure. Who placed them, and what will happen next, remains unknown.

Historical heatmap chart with several marked tests of an upper price area followed by a decline.
Absorption example from 2025: several approaches to the upper area, followed by a decline. The image alone cannot establish which orders executed or why price later fell. Image: TradeNeon.

A large number in the order book is not enough to identify absorption. Look for the combination of actual executed volume and little price progress in the same area. Passive orders may be replenished, or the aggressive side may be weakening. The historical arrows in the image show where you would look more closely. They do not replace a time sequence of executions or a check of what happened afterwards.

In that historical example, the market fell after several attempts. It illustrates a past sequence, not a rule: absorption can also end without a reversal. At a level marked in advance, it is one piece of evidence to combine with other observations and your risk plan.

Sweep: trading through several price levels

In a sweep, aggressive executions take available liquidity across several price levels. This can cause a rapid price move. The chart shows the move; suitable execution data lets you check which levels actually traded. Thin displayed depth may amplify it. A steep delta move or a screenshot does not reveal whether one large participant was responsible.

Historical heatmap chart with a marked fast price move at a price area.
Marked price move in a screenshot from 2025. The marking highlights an area to examine; execution data is needed to assess a sweep. The trader or traders involved remain unknown. Image: TradeNeon.

The example connects a fast price move with a previously examined microstructure. That connection is the useful lesson. The static picture alone cannot verify whether transactions took several levels in one sweep. Use it to frame questions for the execution data, not as a completed diagnosis. Several participants could also trade aggressively at the same time.

Location matters here too. A fast move halfway through an established run may be noise for your plan. At a level marked beforehand, ask the same questions: what actually traded, how did price respond and what other explanation is possible?

Disappearing orders: an observation, not proof of spoofing

A large displayed quantity may appear close to price and disappear before price reaches it. Legitimate changes or cancellations can explain that. Spoofing, by contrast, involves placing an order with the intent to cancel it before execution and create a false impression. A single heatmap cannot establish that intent.

Historical heatmap chart with marked areas of displayed liquidity along the price path.
Heatmap labelled “spoofing” in a screenshot from 2025. Visible traces and cancellations may justify further investigation; this image does not prove deceptive intent. Image: TradeNeon.

When large orders appear briefly and vanish, start with what you can observe: time, price level, displayed size and whether a trade occurred. Then check whether the pattern repeats and how price responds. Even repetition does not prove deceptive intent. Unreliable displayed depth may matter to your trading decision without accusing another participant of unlawful conduct.

CME describes spoofing in terms of intent when placing an order. Careful language matters in your analysis: you can observe displayed liquidity arriving or disappearing without knowing the motive.

06

Using order flow in your trading routine

That is a lot to take in. A calm sequence helps: first choose your market and a relevant level. Write down what would support your thesis, what would challenge it and when you would stay out. Then observe executions, displayed orders and the price response. A striking colour or number becomes an observation you can test.

Order flow takes practice because one pattern rarely has only one interpretation. Absorption need not end in a reversal; a sweep does not identify a trader; a disappearing order does not prove deception. The question is whether what you observe at a level you selected beforehand fits a sound plan.

Level of Interest helps identify potential price areas for market analysis. It is not an order-flow display and cannot make a trading decision for you. If you want to explore the full process of market analysis, execution and risk management, TradeNeon's day-trading programme is currently available in German.

Which levels deserve a closer look?
Level of Interest helps you find potential price areas for analysis. You assess how the market trades when it reaches them.
Explore Level of Interest
Bull and bear – the TradeNeon characters for Level of Interest
Frequently asked questions
What is order flow in trading?

Order flow concerns a market's changing orders and executions. Depending on your data feed, you may see displayed limit orders, traded volume and how they change over time.

Does order flow tell me why price rises?

It adds observations about market activity. It cannot unambiguously reveal a particular trader's motive or the cause of every price move.

Is a large order in the book always important?

No. It can be changed or cancelled and might never execute. Assess it together with actual trades and the price response.

Can I identify spoofing with certainty in a heatmap?

No. Repeatedly disappearing orders can prompt questions, but a single view cannot establish the deceptive intent required for spoofing.

Simon Reichert
Simon Reichert
Swing trading coach · TradeNeon
Simon Reichert is a swing trading coach at TradeNeon. He studied International Business Management, worked in finance and auditing, and has traded actively since 2022. His focus is swing trading, the broader market context and risk management.