Notícias de mercado & insights

Every serious trader has “had a go” at scalping at some point in their journey. The idea of rapid and high-frequency entries, quick profits, with dozens of trades in a single session, suggests that it is a fast path to achieving a potential income from trading. The theory is that if you can make just a few pips or points repeatedly and frequently, the results should compound quickly and on a sustainable basis. However, stories of multiple account blow-ups and trader burnouts as the effort in a higher stress situation takes its toll bring up justifiable questions as to whether this “good on paper” theory can translate into real-world trading success.

What Is Scalping?

Scalping involves placing a high volume of very short-term trades, aiming to capture small price movements with trades that are opened and closed within minutes or even seconds of entry. Scalpers rely on precision in action, timing, and tight cost control, rather than letting trades breathe or evolve into longer moves, as you see in other types of trading approaches.Scalping is commonly used in markets with the highest liquidity, where the spread is at its tightest.For example:

• Forex majors (e.g., EUR/USD, GBP/USD)
• Index futures (e.g., NASDAQ, DAX, FTSE)
• Commodities like gold (though spread and volatility can be a challenge)

How Does Scalping Work?

Traders using a scalping approach are looking for small inefficiencies or bursts of movement they can exploit repeatedly as sentiment shifts.Three common types of scalping techniques include: momentum scalping, mean reversion, and order flow scalping. The first two of these can be used on CFDs on Metatrader platforms. The latter is more common in futures markets.

Momentum Scalping

This approach involves looking for and jumping on breakouts or price surges as price momentum begins to build, with an exit quickly before price begins to pause. This is most commonly used at session opens or news events when the volume of traders is high and repositioning of trader positions may be at its highest. Faster timeframes are usually used, e.g., 1-minute candles, when there appears to be a brief but technically identifiable sentiment change.

Range-Bound / Mean Reversion Scalping

Mean reversion strategies are based on the principle that prices regularly trade in a range, often while market participants are waiting for the next piece of news or technical breach of either the top or bottom of that range. During this time, as the range high and low are tested, it is common that the price will return to the mean of that range after each unsuccessful test. Scalpers will attempt to identify these micro-ranges and short a test to the upper end or go long with tests of the bottom end. This can work best in the quieter part of sessions or during consolidation periods, with a breach of the defined support/resistance used as a relatively obvious risk management level.

Key Principles of a Successful Scalping Strategy

Execution Speed

Fast and reliable execution is critical to optimise scalping strategies. Slippage, delayed fills, and lower liquidity with wider spreads can eat into profits significantly in these strategies, where the profit target is often just a few pips. Scalpers may use dedicated VPS servers where latency is less and, when there is evidence that a strategy may be working, may attempt to create EAs that execute the criteria for entry and exit automatically to maximise the time your strategy is working on the market (i.e. it is doing this even when you are not in front of a screen).

Low Spread and Commission

Spread becomes an essential component of your profit potential, more so than with any other strategy. If you are aiming for 3–5 pips of profit and the spread takes most of this away, your market battle becomes even harder than it already is. Even a small difference in transaction costs can erode a scalper’s profitability significantly over hundreds of trades. GO Markets offers very competitive spreads as well as other options for spread traders to help you find the best solution for you.

Clear, Repeatable Entry Rules

Because scalping relies on speed and repetition, there is no room for ambiguity or options in any part of your trading rules for action. Entry criteria must be specific, precise, and must be actioned without hesitation once the defined action price hits your trigger level. What you use as these action points is irrelevant in this context, be it candle closes or tick movement, the rules need to be black-and-white and actioned accordingly.

Tight Risk Control

Risk management is important in any trading context, and in scalping, this is no different. Stops can be just a few pips or points away, and a single large loss due to second-guessing or not following the plan can easily and quickly undo gains from several winning trades. Having referenced the absolute necessity for specific and unambiguous criteria for entry, this is no less vital for exit if you are to achieve your target win rate, desired average won-loss, and maximum acceptable drawdown.

Time-Bound Trading

Scalping strategies, by their nature, are usually mentally intense with concentration levels critical when trading. Management of this should be front and centre of your time plan when you are trading. You should set clear, pre-determined, and non-negotiable start and end times, limiting the amount of time to maintain an optimum trading state and reduce the likelihood of errors in decision making. For example, if your scalping plan is best actioned on session opens, limit your time to these, then walk away.

Risks and Pitfalls of Scalping

While scalping can be successful if you adopt the key principles above, it’s also very easy to fall short of what is required to achieve success on an ongoing basis. Rigidly adhering to what is needed is something to constantly remind yourself of, as there are common key challenges that have the ability to derail the trader (and they often do).

Overtrading

Scalping may lead to ‘compulsive’ overtrading. The “thrill of the chase” created by the high intensity of this trading style can tempt traders to push past their planned trade limits, stray from the strict criteria for entry, as they try to force more trades. These rarely create positive trading outcomes.

Spread and Slippage

You need to become a measurement guru, watching key trading metrics on an ongoing basis, including the impact of cost,s is critical as previously stated. Widening spreads can be massively impactful on profit potential, and some would have a maximum spread as part of the entry criteria because of this. This can and should be reviewed during your trading activity and as part of your trading business ritual.

Psychological Strain

Scalping is high-pressure and “fast” decision-making and action-taking. This pace is not for every trader, and you must monitor both your behaviour and performance during trading, adhering to and reviewing the boundaries you have set, but also be honest with yourself to look at something else if this is just simply not a “fit” for you.

The Case for Automation?

Many scalpers explore the use of EAs for the automation of their tested scalping strategies. Of course, this will eliminate some of the critical challenges by taking away the immediate “in front of chart” stress.There is also a strong case that this will help in “not missing” trades through an inability to watch markets for 24 hours.Don't be fooled, though; this is not a shortcut. The same rigour in terms of creation, testing, and ongoing monitoring with refinement remains. It is not saving work — as much work is still required if you are to achieve any success. It is using a tool to provide more execution certainty. It is perhaps worth considering once you have a strategy that shows promise and ticks all of the boxes for the scalping strategy criteria.

A Simple Momentum Scalping Strategy (Example)

Here is an example of a very basic framework for a 1-minute momentum scalping setup on EUR/USD. *Note: This is merely an example of how scalpers may structure a scalping plan:Market: EUR/USDTimeframe: 1 MinuteSession: First 60 minutes of London OpenSetup Logic:

• Identify when price breaks a 5-bar high with momentum
• Volume increase from previous bar
• Look for a strong bullish candle (body >70% of range)
• Ensure spread is below 0.4 pips

Entry:

• Buy at breakout +2 pips on 1 minute bar close

Exit:

• Use a hard stop of 2 pips from entry signal
• Target 6 pips profit
• Trail stops to breakeven on a 3 pip move

Risk Notes:

• No more than 6 trades in a session to maintain focus
• Cap trading session time to 60 minutes.

Final Thoughts

Despite the attractive and exciting high-intensity battle of trader versus market, scalping is not a shortcut or a casual strategy. It’s a high-performance, rigid approach that requires great preparation, clarity of planning and action, reaction speed, and precision in execution. Take a step-by-step approach; it may be for you (and don’t be shy of walking away if you discover it is not). You need to put in the “hard yards” at the front end if you want to see trading rewards from scalping.

Despite living through one of the most chaotic political and trade environments in recent history, the ASX 200 delivered its strongest performance since the pandemic rally.The S&P/ASX 200 Index gained 9.97% in capital growth and 13.81% in total returns, hitting a record high of 8,639.1 points in June.While Trump's tariff announcements caused dramatic market swings — including the ASX plunging nearly 500 points on "Liberation Day" — Australian markets weathered the storm and managed to rally before the financial year end.The rally was driven primarily by heavyweight banks like Commonwealth Bank and Westpac, with CBA alone responsible for nearly half the index's gains.However, the performance was not uniform across all sectors — five of the 11 ASX market sectors actually lost value during the financial year.

Sector Performance Rankings

Financials

The ASX 200 financials sector was the top-performing market sector of FY25, with the Financials Index rising by 24.45% and delivering total returns including dividends of 29.39%.Sector Champion: Despite Commonwealth Bank's headline-grabbing 45% rise that captured most investor attention, it was retirement and general investment solutions provider, Generation Development Group (ASX: GDG), that led the sector with a rise of 114% in FY25.

Technology - AI Boom Continues

The Information Technology Index rose by 23.89% and provided a total return of 24.19%.Sector Champion: TechnologyOne outperformed both its FY24 and 1H25 earnings expectations — 9.8% and 11.3% on each result respectively. ASX:TNE rose 121% during FY25 to close at $41.01.

Communications

The Communications Index gained 23.4% for the year.Sector Champion:EVT topped the communication leaderboard in FY25. The stock has largely traded nowhere since 2015, but found some momentum thanks to a bump in earnings from its cinema business, with the stock rising 41%.

Industrials

The Industrials Index gained 22% during FY25.Sector Champion: Qantas Airways (ASX:QAN) shares rose 84% to close at $10.74. Lower jet fuel prices, strong international and domestic pricing, and capacity growth gave investors renewed confidence in the leading Australian airline.

Consumer Discretionary

The Consumer Discretionary Index rose 18% for the year.Sector Champion: Temple & Webster Group (ASX:TPW) dominated the sector with a 127% gain to $21.32. Improved consumer sentiment and strong sales saw the e-commerce furniture company capitalise on momentum, especially in its home improvement and B2B categories.

Real Estate & REITs

The Real Estate Index gained 10% despite volatile bond yields throughout the year.Sector Champion: Charter Hall Group (ASX:CHC) was the sector leader — closing the financial year 72% higher at $19.19 per share.[caption id="attachment_712086" align="alignnone" width="1101"]

Top-performing sectors in FY25[/caption]

Utilities

The Utilities Index fell 1.6%.Sector Champion: APA Group (ASX:APA) managed a modest 2.3% gain in FY25, but managed to come out above its peers as the sector's best performer.

Consumer Staples

The Consumer Staples Index declined 2.1%.Sector Champion: Bega Cheese (ASX:BGA) led the sector with a 28% gain, backing up its strong FY24 results.

Healthcare

The Healthcare Index fell 5.99% despite some individual standouts.Sector Champion: Sigma Healthcare's merger with Chemist Warehouse created one of the biggest rallies of the year. As the merger gained clarity, the stock's potential inclusion in the S&P/ASX 200 drove strong buying from investors. Sigma (ASX:SIG) gained 135% to close at $2.99.

Materials

The second-worst sector was materials, with the Materials Index dropping 6.04%. Sector Champion: Despite sector struggles, gold miner Regis Resources (ASX:RRL) ascended 150% to close at $4.39, benefiting from rising gold prices.

Energy - The Year's Biggest Loser

The worst-performing ASX sector was energy, with the Energy Index falling 13.52%. Influences largely by the sector's largest stock — Woodside Energy Group — crumbling by 16%, closing at $23.66. Sector Champion: Uranium explorer Deep Yellow (ASX:DYL) stood out in the struggling sector with a 25% gain.[caption id="attachment_712087" align="alignleft" width="1051"]

Worst-performing sectors in FY25[/caption]

Looking Ahead

The results of FY25 tell a simple story: execution matters more than sector. Technology and financials thrived because the best companies in these sectors did what they said they would do. Energy and materials struggled because many companies in these sectors are fighting structural headwinds, not just cyclical ones. The market is becoming more about which companies to back, rather than which sectors to back. Looking forward to FY26, this pattern could become even more pronounced as geopolitical tensions and trade wars see market uncertainty become the norm rather than the exception.

The ASX 200 closed out the 2025 financial year on a high, reaching a new intra-month peak of 8,592 in June and within touching distance of the all-time record. The index delivered a 1.4% total return for the month, rounding off a strong final quarter with a 9.5% return and locking in a full-year gain of 13.8% — its best performance since 2021.This strong finish all came down to the postponement of the Liberation Day tariffs. From the April 7 lows through to the end of the financial year, the ASX followed the rest of the world. Mid-cap stocks were the standout performers, beating both large and small caps as investors sought growth opportunities away from the extremes of the market. Among the sectors, Industrials outperformed Resources, benefiting from more stable earnings and supportive macroeconomic trends tied to infrastructure and logistics.But the clear winner was Financials, which contributed an incredible 921 basis points to the overall index return. CBA was clearly the leader here, dominating everything with 457 basis points on its own. Westpac, NAB, and others also played a role, but nothing even remotely close to CBA. The Industrials and Consumer Discretionary sectors made meaningful contributions, adding 176 and 153 basis points, respectively. While Materials, Healthcare, and Energy all lagged, each detracting around 45 to 49 basis points. Looking at the final quarter of the financial year, Financials were by far the biggest player again, adding 524 basis points — more than half the quarter’s total return of 9.5%. Apart from a slight drag from the Materials sector, all other parts of the market made positive contributions. Real Estate, Technology, and Consumer Discretionary followed behind as key drivers. Once again, CBA was the largest individual contributor, adding 243 basis points in the quarter, while NAB, WBC, and Macquarie Group added a combined 384 basis points. On the other side of the ledger, key underperformers included BHP, CSL, Rio Tinto, Treasury Wine Estates, and IDP Education, which all weighed on quarterly performance.One of the most defining features of the 2025 financial year was the dominance of price momentum as a market driver — something we as traders must be aware of. Momentum strategies far outpaced more traditional, fundamental-based approaches such as Growth, Value, and Quality. The most effective signal was a nine-month momentum measure (less the most recent month), which delivered a 31.2% long-short return. The more commonly used 12-month price momentum factor was also highly effective, returning 23.6%. By contrast, short-term reversals buying last month’s losers and selling last month’s winners was the worst-performing approach, with a negative 16.4% return. Compared to the rest of the world, the Australian market was one of the strongest trades for momentum globally, well ahead of both the US and Europe, despite its relatively slow overall performance.Note: these strategies are prone to reversal, and in the early days of the new financial year, there has been a notable shift away from momentum-based trading to other areas. Now is probably too early to say whether this marks a sustained change, but it cannot be ignored, and caution is always advised.The second big story of FY26 will be CBA. CBA’s growing influence was a key story of FY25. Its weight in the index rose by an average of 2.1 percentage points across the year, reaching an average of 11.5% by June. That helped push the spread between the Financials and Resources sectors to 15.8 percentage points — the widest gap since 2018. Despite the strong cash returns, market valuations are eye-watering; at one point during June, CBA became the world’s most expensive bank on price metrics. The forward price-to-earnings multiple now sits at 18.9 times. This is well above the long-term average of 14.7 and higher than the 10-year benchmark of 16.1. Meanwhile, the dividend yield has slipped to 3.4%, down from the historical average of 4.4%. Earnings momentum remains soft, with FY25 growth estimates still tracking at 1.4%, and FY26 forecast at a moderate 5.4%. This suggests that recent gains have come more from expanding valuation multiples than from actual earnings upgrades, making the August reporting date a catalyst day for it and, by its size, the market as a whole.On the macro front, attention now turns to the Reserve Bank of Australia. The central bank cut the cash rate by 25 basis points to 3.6% at its July meeting. Recent commentary from the RBA has taken on a more dovish tone, with benign inflation data and ongoing global uncertainty expected to outweigh the strength of the labour market. The RBA appears to be steering toward a neutral policy stance, and markets will be watching for further signals on how that shift will be managed. Recent economic data has been mixed. May retail sales were weaker than expected, while broader household spending indicators held up slightly better. Building approvals saw a smaller-than-hoped-for bounce, employment remains strong, but productivity is low. Inflation is now at a 3-year low and falling; all this points to underlying support from the RBA’s easing bias both now and into the first half of FY26.As we move into FY26, the key questions are:

1. Can fundamentals wrestle back control over momentum?
2. Will earnings growth catch up to price to justify valuations?
3. How will policy decisions from the RBA and other central banks shape investor sentiment in an ever-volatile world?

While the early signs suggest a possible rotation, the jury is still out on whether this marks a new phase for the Australian market or just a brief pause in the rally that defined FY25.

In the world of trading, few stories are as famous as the one behind the Turtle Traders. The Turtle experiment was simple in concept — could absolute beginners, given nothing but a set of rules and two weeks of training, beat the markets?The results of the experiment were extraordinary. Even today, four decades later, many of their principles still echo through our algorithm-dominated trading world.In this article, we’ll revisit the original Turtle strategy, examine how it worked, and explore how this legendary approach could be reimagined for modern traders.

Who Were the Turtles?

The Turtle Traders were the product of a famous bet between trading legend Richard Dennis and his partner William Eckhardt. Dennis believed that trading could be taught; Eckhardt thought that the ability to trade was a set of skills that you are born with. To settle the debate, Dennis placed an ad in the newspaper and selected a group of everyday individuals, none of whom had any prior trading experience.These recruits underwent a two-week crash course in trading, during which they were taught a complete, mechanical system. It was based on trend-following logic, relying on breakouts, strict entry and exit rules, and position sizing based on market volatility. The idea was simple — eliminate emotion, follow the rules, and let the trends do the work.The experiment was a runaway success. As a group, the Turtles reportedly achieved an average annual return of 80%, managing millions in capital and building one of the most talked-about trading systems in history.

Turtle Trading Rules and Instruments

Entry Rules:

The Turtles followed mechanical entry rules based on the concept of trading with the trend. The initial entry criteria were:

1. Enter a long position if the price breaks above the 20-day high.
2. Enter a short position if the price falls below the 20-day low.
3. For a more conservative approach, a second strategy of a 55-day breakout was used as an alternative.
4. Orders were placed using buy/sell stop orders triggered by the breakout.

Markets Traded:

The system was applied across a wide range of liquid futures markets:

• Currency Futures: EUR/USD, JPY/USD, GBP/USD, CHF/USD, CAD/USD
• Commodity Futures: Gold, Silver, Crude Oil, Heating Oil, Corn, Wheat, Soybeans, Sugar, Cocoa, Cotton
• Stock Index Futures: S&P 500, Nikkei 225, Dow Jones (DJIA)
• Interest Rate Futures: U.S. Treasury Bonds, Eurodollars

The Importance of Volatility:

They used the Average True Range (ATR) of a 20-days, termed “N”, in many of their calculations to account for the impact of volatility.

Pyramiding (accumulation): Adding to Winning Trades:

The Turtles were also taught to scale into winning trades. This method, known as pyramiding or accumulation, involved adding to a trade if the price moved in their favour. If N (ATR) was 40 points, they would add 0.5 × the Average True Range to the trade. For example, accumulation of a new position would be actioned at 20 and then again at another 20, adding up to a maximum of four positions: the original trade plus three additional entries.

Exits and Risk Management

Initial Stop Loss:

Each trade was initiated with a stop loss placed 2N away from the entry price. This ensured that no single trade risked more than 2% of the account balance.

Trailing Stop:

As the trade progressed and additional units were added, the stop loss was dynamically adjusted using the most recent entry as a reference.The trailing stop for all positions was 2N on the latest (most recent) added position. If the stop was hit, all positions in that trade were closed simultaneously, locking in gains and controlling downside risk.

How Have Markets Changed Since the 1980s?

1. Algorithmic and high-frequency trading (HFT) now dominate markets, often resulting in faster and more erratic price movements.
2. Trading costs (commissions, spreads) have significantly decreased, enabling more frequent entries and tighter stops.
3. Trend persistence has diminished. Markets often reverse more quickly, making it harder for long-trend strategies to succeed without adaptation.
4. Forex and futures markets are more liquid, making it easier to execute large positions with less slippage.
5. Futures markets have seen changes in volume and type, enabling a greater selection of asset choices.
6. Stock indices tend to exhibit more mean reversion, demanding smarter trend filters.
7. Breakouts from common levels are less reliable, often resulting in quick reversals due to stop hunting and market manipulation.
8. A greater need for confirmation signals before acting on a breakout.
9. ATR-based sizing remains relevant but may benefit from more dynamic scaling.
10. Rigid stop-loss rules (like 2× ATR) are more likely to be hit due to shorter trend durations.

How Could the Turtle System Be Used Today?

Although the principles underpinning the turtle systems remain valid for trading today, some tweaking of the original criteria and parameter levels would be worth exploring.

Entry Modifications:

Requiring confirmation from trend filters, such as price being above the 200 EMA or RSI values above 55, or perhaps looking for confirmation on larger timeframes, could reduce false signals and improve win rates.Additional volume filters, including relative volume, OBV, and average volume, may add value to decision-makingIncorporating indicators developed since the turtle experiment, such as other variations of the ATR and RSI, Bollinger bands, and Keltner channels, may be worth consideration for the confluence of the basic trend following structure.

Exit and Risk Enhancements:

In the turtles experiment, the ATR was static once the initial trade was entered; the N value remained fixed for that position and all subsequent accumulated positions. Arguably a dynamic ATR instead of a fixed level may be worth consideration to adjust to changing volatility over time.This especially makes sense if you are considering adding additional confluence from other indicators for the initial position.

Trade Like a Turtle

Using the original Turtle approach could be considered a checklist for good practice. Especially when it comes to rule-based system designs, risk management, emotional discipline in execution, and equal attention to entry, accumulation, and exit.Consider testing a “Turtle-inspired” strategy using current instruments and enhanced filters before taking it live. The spirit of the Turtle experiment lives on not just in its rules, but in the key message that trading can be taught. You can learn it, but success depends on sticking to a well-thought-out plan and adhering to the golden rules of trading that still apply today.

Most traders obsess over entries, indicators, and setups, but often overlook a simple factor — the time of day that you trade.Time of day affects volatility, liquidity, and when new information enters the market. Ignoring it can turn good setups into frustrating inactivity, or even losses, while embracing it can help you trade with the market, not just the setup.

Why Time of Day Is Important

Markets are not equally active during the whole period they are open. Price action is driven by human behaviour, either on an individual or organisational level. Behaviour commonly follows routines:

• Economic data is released at scheduled times
• Institutions trading during business hours
• Retail traders are more active during specific sessions — in terms of volume and location.

This invariably creates rhythms in the market. By learning to trade with these rhythms, your trades will often require less confirmation, you improve stop placement, and have cleaner follow-through on trading ideas.

The Global Trading Clock

The trading day is broadly broken into three main sessions: Asia, Europe, and the US. Each has its own “character,” and benefits vary based on which time zone best aligns with your strategy.

1. Asia (Tokyo)

10pm –7am GMT: Markets are generally quieter except JPY and AUD FX pairs and index CFDs. Common characteristics include:

• Lower liquidity
• Range-bound behaviour
• Risk of false breakouts

Reversion strategies may do well in such market conditions as well as setting up highs and lows, which may be useful references for sessions later in the day.

2. Europe (London)

7am–4pm GMT: Increased volatility and volume are seen during the European session across many asset classes. The opening of the LME can influence metals prices, and US futures may respond accordingly to increased volatility. Common characteristics include:

• Large institutional flows
• Strong trends can begin
• Overlaps with NY for 2 hours 

Breakout strategies using Asian session highs or lows as reference (or previous days' US session) may outperform. And trend continuation and reversal approaches on the back of new data coming out of Europe may also be common. The two-hour crossover with the subsequent US session can also be an important change in market conditions.

3. US (New York)

12pm–9pm GMT: Volatility spikes may occur at US equity market open and significant data releases with global asset class impact are often released at 8.30am US Eastern time. Common characteristics include:

• Major economic releases
• US equity open creates short-term momentum
• Slower into the late session 

Fast moves might be prevalent early in the day, suggesting short-term momentum-supported new trend set-ups may outperform. Reversals around the middle of the day are also not uncommon.The Federal Reserve interest rate decisions are always in the early afternoon in the US, which can flip market sentiment.

The Intra-Session Rhythm

It is not only session-to-session changes that can often be seen on price charts. Within each session, price often has a tendency to move in waves. So, as a general rule, you may see:

• Early session: bursts of volatility and institutional positioning
• Mid-session: consolidation or retracements
• Late session: thinning liquidity, profit-taking, fakeouts

Why Most Traders Miss This

During strategy development, many strategies are tested on charts without considering what time the setup occurred.A 15-minute candle during the London open isn’t the same as one during the Australian lunch break.So, if you start taking breakouts in low-volume periods, trading reversals just before news, or entering trends during midday doldrums, these may have less chance of meeting the goals for that particular trade.

How to Use Time of Day as a Filter Practically

1. Mark Your Session Windows

On your chart, visually block out the London open, NY open, and overlap. Use vertical lines or shading — this will help you historically see what happens at these key times.*Note: We are developing a free indicator for this that you can place on a chart. Email [email protected] if you are interested.

2. Backtest by Session

You can split potential trades by session ‘time blocks’ that look back over time. Strategy types often work better during specific hours:

• Breakouts work 7am–10am GMT
• Mean reversion thrives 2am–5am GMT
• Reversals occur more often post-3pm GMT

Using your existing setups (or even previous trades), look at a sample to see what may have happened. 3. Add Time as a Trade FilterOnce you have some evidence from, test out simple rules like:

• “Only take trend trades between 7am–11am GMT”
• “No breakout entries after 3pm NY”

If you can code (or have access to someone who can), then you can backtest this quickly to see the impact of these filters.

4. Know the News Calendar

Most high-impact data is released at predictable times — make knowing what is happening and when part of your daily trending agenda. These contribute to the characteristics of a session, but also may flip what is standard on its head. Reference in your plan the major data points and how you are going to manage potential entry setups.

Trade With the Market — Not Just the Setup

The best trades don’t just have good structure; they also happen at the right time.Logically, if you want cleaner trade setups, high-probability entries, and improved consistency, then aligning your trading strategies with the market clock makes sense.It’s a simple shift that most traders ignore — perhaps to their detriment. Finding the best time of day to trade for your trading strategy could be one of the things that helps develop your trading edge.

There is an apparent enthusiasm among traders nowadays to add indicators to charts that resemble modern art more than market analysis. RSI, MACD, moving averages, stochastic oscillators, Bollinger Bands, volume profiles, and so many more. While these tools do have their place in some strategies, many traders forget the fundamental truth: price is the source, everything else is a reaction.Learning to read price as a narrative, showing a sequence of events that reveals the intentions and psychology of both buyers and sellers, can offer the trader a level of understanding that no single or even multiple indicators can give.

Indicators Are the Supporting Act — Not the Main Show

Don’t take from the opening that I think for one moment that Indicators are inherently bad. They can be helpful when used correctly as a way to offer some confluence to what the current price may be suggesting.But by design, most indicators are lagging. They take price and/or volume data and apply mathematical formulas to summarise or smooth the past.Moving Averages tell you where the price has been over the period of the MA setting. RSI shows whether the recent move has been relatively strong, even if it doesn’t tell you why. MACD illustrates the relationship between two moving averages and whether it's changing, but not necessarily market intent.Indicators are descriptive, not predictive. They are great at confirming bias but may not produce desired outcomes when used as your primary decision-making tool.

Price Action is a Language

Every candlestick is a snapshot of a battle occurring between buyers and sellers over a fixed point in current time. The shape and size of each bar contain a message.A large bullish candle (close near the high) indicates strong buyer control during that bar.A long wick above the body shows attempted movement upward but failure to hold — in other words, a rejection at higher prices.A doji (small body, long wicks) suggests indecision — neither side in control.And of course, the reverse is the case for a bearish candle.These are not random. They reflect the psychology of where market participants are now and can imply a degree of confidence, hesitation, exhaustion, or even reversal pressure.

Key takeaway:

There could be merit in starting each trading session by scanning the last 5–10 candles on your timeframe and asking: Who was in control? Are they still in control? And is there evidence that this may continue or be changing on THIS candle?”These simple questions can dramatically shift your perspective from reaction to anticipation.

What is Market Structure?

While individual candles can show immediate intent, structure reveals progression.A trend is never a continued straight line; market structure is the pattern of swing highs and swing lows that form the underlying skeleton of a trend.An uptrend forms higher highs (HH) and higher lows (HL).A downtrend forms lower highs (LH) and lower lows (LL).A range is where highs and lows are roughly equal, showing balance between buyers and sellers.Structure tells you where traders are likely to place orders and whether a trend may continue.There may be stops placed below swing lows, creating potential support. There may be profit targets at prior highs, creating potential resistance.Breakout or breakdown movement may be triggered if there is a break of these structural key levels, e.g., a break of a previous swing high may suggest continuation.

Key takeaway:

Try to map out the most recent swing highs/lows on your chart. Ask the question: Are we building a structure to continue, or is there a potential pause point where the market may decide to shift direction? And how should this impact my decision to enter a trade or stay in an open trade?This framing, based on current market structure, helps you align with momentum rather than chase it.

Volume: The Emotion in the Story

While price tells you what is happening, volume gives a sense of how much conviction is behind it. Volume adds depth and credibility to the story of price. Although there are those who would be reluctant to use tick volume with Forex and CFD trading, there is still potential legitimacy in testing this in your trading. As it is leading, not lagging, volume with price (arguably) acts as an important market gauge. High volume on a breakout = genuine interest with evidence of market convictionLow volume breakout = potential trap. Lack of participation means the move may fail.Effort vs. Result = if price moves very little despite high volume, it suggests absorption — large opposing orders are sitting there.

Volume as a Visual Lie Detector?

Sometimes price action looks bullish, but volume says otherwise. For example, A bullish engulfing candle that forms with lower-than-average volume is often a false signal. A reversal candle that forms with a volume spike often suggests a strong shift in sentiment.To use this practically, consider a volume average line to highlight when it may be time to act (or time not to).

How to Practice Your Trading Story Creation

Through the key fundamental principles covered above, you can start training how to create a market story.

Daily Market Story Exercise:

1. Strip off all indicators apart from volume!
2. Look at the last 10–20 candles.
3. Say out loud or write the story you see in front of you — e.g., “Price was rising but slowed near resistance. After a rejection candle, sellers stepped in with conviction as evidenced by the candle formation and volume. Now it’s testing the prior support zone…”

Do this each day, and you’ll build the ability to trade based on understanding of what market psychology is telling you rather than just guesswork.

When to Use Indicators — and When to Walk Away

As stated before, indicators aren't useless but can play an important part in confirming or disputing your market story. They work well when they confirm what price action already suggests, smooth out trends or help define zones, and help filter conditions (e.g., only trade long above 200 EMA).If you find yourself staring at indicator crossovers or waiting for an RSI line to tick over 30 without looking at price, you are reading the footnotes, not the full plot.Use indicators in the background, not the foreground of your decision-making.

Summary

Price is not just data, it’s market dialogue. It’s the collective voice of every trading participant in the market NOW. It demonstrates emotion, logic, and intention. When you learn to read the price like a story, you start anticipating rather than reacting. You reduce overtrading with a focus on price action that is compelling, not just suggestive. And arguably, your interaction with the market becomes clearer, simpler, and potentially far more powerful.