Tyson P

Check for overtrading after winning and losing periods. Compare entry timing, setup quality, position size and costs before drawing a conclusion.

NEXTDC opened 42% below its last close after a trading halt. A worked example shows how a 1R stop became an 8R loss, and what to record in your journal.

Learn how to master the Moving Average Crossover trading strategy. This comprehensive guide covers entry rules, risk management, and how to track your progress with SwingFolio.

Nasdaq plans a December 2026 overnight session. See Australian trading times, broker-access checks and a worked example of spread costs before placing orders.

Review September's ASX 200 additions and removals. Learn how selection buffers and index-fund trading work, with a practical event-review checklist.

Understand Oracle's $664 billion RPO, why backlog differs from revenue, and how capital spending affects cash flow. Includes a worked contract example.

Understand ASIC's 30 September 2026 crypto transition deadline. Check provider identity, licence scope and custody, and distinguish applications from approvals.

Compare physical gold ETFs with ASX gold miners. See how currency, production costs and company risk affect returns, with a worked mining-margin example.

Understand ASX acquisition dilution and the proposed October 2026 approval rules. Calculate ownership changes and separate share issuance from deal value.

Understand bond ETF yield, duration and total return after September's Fed hike. Use worked examples to separate income from price risk and currency effects.

Compare hedged and unhedged ETFs with worked AUD return examples. Understand currency exposure, hedging costs and why an ASX listing does not remove FX risk.

Understand ETF liquidity beyond daily volume. Calculate bid-ask spreads and premiums to NAV, and check market hours and order size before placing a trade.

Open your journal on Sunday and the review starts with the week's closed trades. Those outcomes are fixed. The positions you are still holding are the only trades a review can still change, and the reason people skip them is real.

A fixed fee consumes more R when the stop is tight. Calculate the win rate your strategy needs after commissions, spread and slippage.

Swingfolio compares each closed trade's price result with its initial planned risk, including weighted partial exits and an MAE review fallback.

A practical workflow for recording market regime at entry, splitting setup results by condition and using Swingfolio's benchmark-derived classification.

A nine-trade record can show positive average R while eight trades lose. Compare raw mean, median and robust mean before judging a setup.

A green account is not enough to prove active trading added value. Compare it fairly with a relevant benchmark over the same dates and risks.

When leadership changes, the same setup can stall without becoming useless. Diagnose execution, regime fit and strategy evidence before changing rules.

Several tickers can still create one concentrated bet. Measure direct positions, fund overlap, sectors and themes before the market exposes the connection.

A copyable 30-minute worksheet for benchmarking the half, ranking setups, reviewing losses, finding one pattern and choosing one action.

The Nvidia winner in your feed may be real, but it is not a representative record. Use the missing denominator to judge screenshots and your own results.

A partial exit can bank some profit while a trailing rule keeps part of a parabolic winner open. Set both rules before the reversal arrives.

A missed rally costs no capital. This worked sizing example and copyable log stop the feeling of loss from changing your next entry or risk.

Run six questions before a scheduled macro release to check size, stops, concentration, cash and the note you will review afterwards.

A profitable setup can be ruined by size, costs or execution. Use this worked diagnosis to find which part of the trade is producing the loss.

A backtest measures written rules. Practice trading rehearses mechanics. A small live test adds real execution pressure. Use each stage for its proper job.

A practical comparison of day trading and swing trading through time, attention, costs, overnight risk and the routine each style requires.

A broker import solves data entry. This four-layer framework turns validated fills into trades you can review for setup, risk, execution and lessons.

A repeatable method for scoring trading discipline across five rules, ten worked trades and four combinations of process and outcome.

The ASX 200 gained 2.77% in FY2025-26, but miners and former market favourites moved in opposite directions. Here is the sector and stock scorecard.

Use account risk, stop distance and ATR to size volatile trades, then account for cash capacity, correlated holdings and gaps through a stop.

Learn how Australian capital losses work, where wash-sale risk starts and what the historical evidence says about a possible July rebound.

Learn the body-based definition of bullish and bearish engulfing patterns, the context that matters and two complete swing trade scenarios.

Use this copyable EOFY timeline to review share disposals, CGT parcels, tax-loss decisions, deductions and your accountant handover.

Compare six ASX sectors by catalysts, liquidity, gap risk and strategy fit, then use sector rotation to build a focused watchlist.

Learn which swing trading screener criteria define a tradable universe, which rank candidates and how two complete example screens fit together.

A practical position sizing guide with three worked examples, the calculator's exact inputs and the constraints the formula can miss.

See how FIFO, LIFO and specific parcel selection change the gain on the same Australian share sale, with full arithmetic and record rules.

Learn R-multiple formulas through four worked trades, then use costs, partial exits, a distribution and expectancy to judge results.

A practical workflow for measuring total open risk, checking concentration and deciding how much risk capacity remains before a new trade.

An SMSF can swing trade, but the fund's deed, investment strategy, records, ownership and retirement purpose must support the activity.

The Nasdaq-100's June selloff led to an uneven recovery. Compare the four-week, eight-week and September outcomes with a practical risk plan.

A practical 2025-26 workflow for Australian swing traders covering investor versus business treatment, gains, losses, expenses and records.

SpaceX rose 19.2% on debut after pricing at $135. The next supply tests depend on the filed lock-up terms, eligible shares and investor demand.

How the 50% CGT discount works for Australian investors in 2025-26, why share traders miss it, and what changes from 1 July 2027.

SpaceX listed at $135 in June 2026. Long-run IPO data shows why the offer price, first close and your entry price lead to very different returns.

Turn a trading idea into reviewable entry rules, exit rules and risk settings, then use completed trades to judge the strategy.

Calculate dividend yield and annual cash income, then test whether price moves, special dividends or weak earnings make the yield misleading.

A careful Sharesight-to-Swingfolio workflow covering export, import review, reconciliation and the records that need separate handling.

Sharesight reports portfolio outcomes well. Learn which trade-level metrics add context for active strategy and execution reviews.

Learn maximum drawdown with a worked equity path, recovery maths, cash-flow caveats and a practical review checklist.

A practical guide to franking credits, gross-up calculations, holding-period qualifications and dividend records for Australian share traders.

A practical 2025-26 guide to preparing share-trade capital gains, applying losses and the CGT discount in order, and handing over clean records.

Learn how portfolio heat combines planned open risk, then use a worked example and free calculator to review new positions before entry.

Learn how to calculate risk-reward before entry, test the ratio against win rate and expectancy, and avoid common planning mistakes.

A practical guide to AUD cost bases, foreign dividends, withholding tax offsets and records for Australian residents who invest in overseas shares.

Australia has no fixed wash sale waiting period. Learn how the ATO looks at tax-driven loss arrangements and what evidence supports a genuine trade exit.

The 2026-27 Budget's CGT and negative gearing reforms are now law. See what starts on 1 July 2027 and which records investors need.

The enacted Division 296 rules start in 2026-27. See how the thresholds and realised earnings approach affect SMSF trading records and planning.

A practical SMSF audit checklist for reconciling trades, cash, income and holdings before you hand the fund records to your accountant and auditor.

A copyable trading journal template for planning, recording and reviewing swing trades, with a complete fictional example and repeatable review prompts.

A practical beginner workflow for ASX swing trading, with a fictional risk example, paper trading plan, watchlist process and pre-trade checklist.

Shortlist an Australian swing trading broker by total workflow, including ASX fees, ownership model, order tools, exports and international access.

Compare CommSec, Selfwealth and Stake for ASX swing trading using current fees, realistic round-trip costs and the workflow questions that matter.

Build your first trading journal with a manageable template, a worked trade entry and a review habit that grows with your needs.

Four complete hypothetical trade entries show how to document a winner, planned loss, process mistake and changed exit, then review them together.

A trading spreadsheet can calculate and chart almost anything. The question is whether maintaining it still supports the reviews you need.

Choose between a physical notebook, digital trading journal or hybrid workflow based on the records you keep and questions you review.

Learn what happens in each ASX market phase and how auctions, Sydney time, overseas moves and public holidays can affect swing trade orders.

A portfolio tracker shows holdings and returns. A trading journal adds the strategy, risk and decision context active traders need to review.

A strong return can come from skill, market exposure or excess risk. Use this review framework to understand what produced the result.

Your own journal can reveal early exits, stretched stops, inconsistent sizing and other trading mistakes hidden by a single return figure.

A trading journal records the setup, risk, execution, outcome and review behind each trade. Use this guide to create your first useful entry.

Your tax deductions depend on whether the ATO treats your shares as investments or trading stock. Check your status, expenses and records before claiming.

Follow a complete paper trading process for a swing strategy, including rules, realistic fill assumptions, a worked trade and a review routine.

A useful paper trading journal records the plan before entry, the assumptions behind each fill and the result after exit.

No score proves that you are ready to trade live. Use your journal to assess your rules, records, execution assumptions and risk plan.

Paper trading can test your written process, but live orders add uncertain fills, costs and real financial consequences.

Learn what to record for an Australian CGT report when you have multiple share parcels, partial exits, brokers or foreign currency trades.

The ATO treats a share investor and a share trader differently: capital gains against ordinary income, and a different set of deductions. Here are the factors the ATO weighs, what changes on your return, and the records you need to keep.

A portfolio tracker records holdings and returns. A trading journal adds the strategy, risk, decisions and review behind each trade.

Generic portfolio trackers miss what swing traders actually need. Here is what to look for and how to evaluate your options.

A swing trading journal has to hold multi-day positions, partial exits and R-multiples, not just buys and sells. Here are the five features that separate a working journal from a spreadsheet, and the mistakes that leave one unread.

Learn how to record share parcels, calculate gains and losses, check CGT discount eligibility, and prepare figures for your Australian tax return.

R-multiples and expectancy with the arithmetic shown: what each measures, five worked win rate and reward combinations, and what sample size does not fix.

A spreadsheet tracks trades until silent formula errors, manual entry and missing analytics cost more than the tool saves.

A holdings tracker records what you own. A swing trading tracker also records the stop, the open risk it implies, the strategy and each partial exit.

Learn how to use the Fibonacci Pullback trading strategy to identify high-probability entries in trending markets using key retracement levels and RSI filters.

How the 20-day and 50-day EMA stack, an RSI band and a 3% stop combine into one entry, and what a 2.5R target implies for the breakeven win rate.

What a consolidation breakout is, the ATR and volume conditions this article uses, and the entry, exit and position size arithmetic around a 3R target.

The 50-50 strategy pairs the 50-day moving average with the 50 level on the RSI. Here are the entry conditions, the exits, and the sizing arithmetic behind them.

The Volume Breakout Momentum trading strategy pairs a 20-day high with a volume filter. Here are the entry rules, the exits, and the arithmetic behind a 3R target.

The Triple Moving Average Filter takes a trade only where price sits above the 20, 50 and 200-day averages. Here are the rules, the exits and the arithmetic.

The Stochastic Momentum trading strategy pairs a %K crossover under 20 with a trend filter. Here are the three entry rules, the two exits and the risk arithmetic.

The RSI Oversold Bounce trading strategy waits for the reading to cross back above 30 inside an uptrend. Here are the filters, the exits and the risk arithmetic.

The four steps Larry Connors set out for the RSI 2 trading system, where this article departs from them, and the R-multiple arithmetic a wide stop creates.

What a resistance level is made of, why a close matters more than a spike, how far above average the volume has to be, and the arithmetic behind the stop and target.

Why a crossover is a late signal by construction, what the ADX filter removes, and the stop, target and position size arithmetic behind each trade.

What the MACD line, signal line and histogram each measure, why two of the three say the same thing, and the entry, exit and position size arithmetic around the cross.

Where the 38.2%, 50% and 61.8% retracement levels come from, the two filters that turn a level into a rule, and the stop, target and position size arithmetic behind each trade.

The EMA pullback strategy waits for price to retrace to the 20-day EMA inside a confirmed uptrend, then enters with the stop already set. This guide covers the three entry rules, the RSI filter, both exits, and the position sizing behind them.

The Bollinger squeeze breakout written as rules, with John Bollinger's own statements on what the bands do and do not tell you, plus the position size arithmetic behind a 4% stop.

The ATR measures volatility and forecasts nothing. This guide sets out the expansion setup as rules: the 2x range trigger, the breakout condition, and why the stop has to be sized from the new range.

The ADX measures how persistent a move is, not which way it points. This guide sets out the strategy as rules: Wilder's levels, the EMA direction filters, the exits and the sizing arithmetic.

The 52-week high breakout strategy written as rules: the entry filters, the two exits, the position size that follows from the stop, and what the 2004 study behind it actually measured.

How multi-day swing trading rules fit together: what a strategy has to specify, why overnight gaps are not capped by your stop, and how position size follows from stop distance.

The 1% rule stated in R terms, a worked share count with the rounding checked, how portfolio heat adds up across open positions, and what an overnight gap does to a stop.

What a generated performance review reads from your closed trades, what its card prints, the patterns it cannot see, and which Analytics cards hold those instead.

What US and Australian reporting rules actually require, why a stop fills at the reopening price after a results gap, and the trade-offs in four ways of handling a report.

What the VIX, the put/call ratio, the AAII sentiment survey, CNN's Fear and Greed Index and market breadth each measure, described by their publishers, and where each reading fits in a weekly routine.

Identify uptrends, downtrends and ranges from the sequence of swing highs and lows, confirm them with moving averages and ADX, and record the trend each trade was taken in.

Two accounts, the same arithmetic: why a 70% win rate can earn less than half as much per trade as a 40% one, and where expectancy fits above both metrics.

What the business cycle model of sector rotation says and where it stops, how relative strength turns it into a measurement, and how to read the four rotation quadrants.

A five-step method for analysing trading performance, with worked segment tables, the sample sizes a finding needs, and the questions each review answers.

The fields to record for every position and closed trade, what brokers, spreadsheets and tracking software each do with them, and the practices that keep the record accurate.

Ten metrics that show what your trading results came from, each with its formula and a worked example: win rate, profit factor, expectancy, R-multiple and drawdown.

A trading journal is where the reason you entered can be compared with the reason you remember. What to record, how to review it, and which tool fits.

The quoted failure rates for traders carry no citation. Here are ten failure modes you can check, and the two studies that do name their population.

The psychology behind cutting losses: the loss-aversion research, the recovery arithmetic, and the card that shows how long you hold losers.

Building trading discipline starts with measuring the gap between the rules you wrote and the trades you took. A 30-day plan to adapt to your own numbers.

Chasing a trade after it moves changes your entry, not the target. See what that does to reward-to-risk, share count and breakeven win rate.

What fear and greed each change about a trade, five techniques for each, and the checks to run before the order goes in.

Fear, greed, hope, revenge and overconfidence, each described by what it changes about a decision, with the studies behind them.

Five positions in one sector behave as one. The arithmetic behind spreading risk, the limits worth writing down, and where diversification stops helping.

Your result divided by the risk you took, so a $12 stock and a $300 one land in the same column. Worked arithmetic, distributions and expectancy.

Five losses in a row is what a 60% win rate produces. The probability arithmetic, what each risk level costs, and the protocol to write first.

Cap the loss on any one trade at 1% of the account, and the share count follows from the stop distance. Worked examples and the streak arithmetic.

Reward divided by risk, the breakeven win rate it implies, and the expectancy arithmetic that decides whether a strategy makes money.

Your share count is decided by two numbers: how much you will risk and how far the stop sits from entry. The arithmetic, worked step by step.

Hard stops, mental stops and trailing stops, where each one belongs on the chart, and the arithmetic that decides how wide a stop you can afford.

Head and shoulders, flags, pennants and triangles: the entry, stop and measured move each shape defines, and the checks to run before trading one.

The Fibonacci tool draws lines at fixed fractions of a move. Where the ratios come from, how to anchor them, and what confirms a bounce.

Bollinger Bands measure volatility, and the same band touch means continuation in a trend and exhaustion in a range. Four setups and their conditions.

How to tell a trend reversal from a pullback: the warning signs, the patterns, and the break that has to happen before either is confirmed.

What each candlestick pattern requires, what counts as confirmation, and why the trend before the pattern decides how to read it.

Volume states how many shares were behind a price move. Compare volume to its average, confirm breakouts, and read OBV divergence.

How to find support and resistance levels on a chart, judge which ones are worth trading, and handle the flip when a level breaks and changes sides.

How the 20, 50 and 200 day moving averages work: SMA against EMA, pullback entries, the trend filter, and reading all three lines together.

How the MACD indicator works on a daily chart: signal line crossovers, the zero line, what the histogram reports before a cross, and divergence.

How to read RSI on a daily chart: the overbought and oversold levels, why they fail in trending markets, divergence setups, and the 50 centerline.

Build and maintain a swing trading watchlist. Set your screening criteria, organize the list by setup stage, and keep it current with a daily routine.

Four ways into a swing trade and four ways out, with the risk per share, position sizing and reward-to-risk arithmetic worked through on each one.

Holding period is produced by your exit rules, not chosen in advance. What sets the duration, when to leave early, and how to read your own hold times.

Which chart timeframes suit swing trading, how the daily and 4-hour charts divide the work between direction and timing, and what to do when they disagree.

Not every stock suits a multi-day holding period. Seven properties decide which ones do, with the arithmetic that links a stock's volatility to your position size.

A 90-day path from no experience to a first trade you can justify: four weeks on the concepts, a week on the market and the broker, two weeks writing the plan, five weeks paper trading it, then live money at a fraction of your intended size.

Compare swing trading and day trading on time commitment, capital rules, risk and temperament, and work out which style fits your schedule.

Swing trading holds a position for days or weeks to capture one move in price, then closes it. This guide covers the four decisions that shape every swing trade: what to buy, when to enter, how much to risk, and where to get out.