Join us for our trading talk podcast every Tuesday.

Topics will be confirmed on the day.

Take setup quality further by learning how to filter out poor chart conditions and improve technical selectivity.

Objectives

1. Understand what confirmation and confluence actually add
2. Combine structure, trend, candles, and context more effectively
3. Filter out weak signals and low-quality chart conditions
4. Avoid overcomplicating analysis with unnecessary factors
5. Build a cleaner process for identifying stronger setups

Join us for our trading talk podcast every Tuesday.

Topics will be confirmed on the day.

We now apply the setup principle to the worked example and begin building the first real structure around the original idea. Broader market context, multiple timeframes and the relationship between shorter- and longer-term behaviour are introduced because the simpler version cannot answer those questions on its own.

You’ll understand: why a system often needs more than one layer of context and how different timeframes can perform different jobs inside the same setup.

Worked example: the Daily, 240-minute and 60-minute roles begin to take shape, with the 21/89 relationship introduced as part of the broader context that gives meaning to the shorter-term signal.

For your own system: build a first Setup V0.1 for your own idea by defining context, qualifying conditions and early disqualifiers.

Join us for our trading talk podcast every Tuesday.

Topics will be confirmed on the day.

Learn how to judge whether a pattern is technically strong by looking at location, structure, timing, and room to move.

Objectives

1. Separate a chart pattern from a technically valid setup
2. Judge setup location in relation to structure and levels
3. Assess whether timing is early, mature, or already late
4. Recognise when a setup has enough room to work
5. Improve technical selectivity by focusing on setup quality

In this opening session, we introduce the full TTM Forex framework and explain how the course will be built over the next 8 sessions. We cover the difference between market selection, trade execution, risk management and trade management, and why these must not be mixed together.

This session sets the foundation for the entire workshop. Traders will learn what the system is trying to do, what it is not trying to do, and how to think about Forex as a structured decision-making process rather than a collection of random setups.

We start properly from the beginning. You will learn how the Foreign Exchange market works, why currencies trade in pairs, how base and quote currencies work, what it means when a pair rises or falls and why Forex operates around the clock.

• Pips and pipettes
• Lots and position size
• Pip value
• Bid and ask prices
• Spreads
• Market, limit and stop orders
• Stop-loss and take-profit orders
• Leverage
• Margin
• Account exposure
• Trading sessions
• Liquidity
• Volatility
• Rollover and swap

You will also learn the key forces that move currencies, including interest rates, central banks, inflation, growth, employment, economic releases, expectations and broader risk sentiment.

Join us for our trading talk podcast every Tuesday.

Topics will be confirmed on the day.

We now apply the setup principle to the worked example and begin building the first real structure around the original idea. Broader market context, multiple timeframes and the relationship between shorter- and longer-term behaviour are introduced because the simpler version cannot answer those questions on its own.

You’ll understand: why a system often needs more than one layer of context and how different timeframes can perform different jobs inside the same setup.

Worked example: the Daily, 240-minute and 60-minute roles begin to take shape, with the 21/89 relationship introduced as part of the broader context that gives meaning to the shorter-term signal.

For your own system: build a first Setup V0.1 for your own idea by defining context, qualifying conditions and early disqualifiers.

This session focuses on currency selection. Before a trader looks for a setup, they need to understand which currencies are currently showing strength, weakness, change or conflict.

We explain how to think about currency behaviour, relative strength, weak-versus-strong pair selection, and why not every pair deserves attention at the same time. The goal is to help traders reduce noise and focus only on the pairs that are most worth analysing.

Part 2 – Understanding Price and Trend

Before using the Market Map, you need to understand what the chart is telling you.

• Price swings and swing structure
• Higher highs and higher lows
• Lower highs and lower lows
• Trending and ranging markets
• Pullbacks and continuation
• Trend maturity, transition and reversal
• Support and resistance
• Broken support and resistance
• Market structure failure

You will also learn the TTM EMA framework using the 8, 21 and 89 EMAs, including the difference between shorter-term movement and larger trend structure. Multiple timeframe analysis then connects those ideas across the Daily, 240-minute and 60-minute charts.

Part 3 – Relative Currency Strength

Forex is a relative market. EURUSD does not tell you whether the euro is simply strong or whether the US dollar is weak. The same applies to every currency pair.

The programme teaches you to analyse currencies across the broader market rather than treating each pair as a completely separate opportunity.

• Comparing the major currencies
• Strong-versus-weak relationships
• Relative strength and pair selection
• Correlated currency views
• Why the strongest-looking pair is not automatically the best trade

Join us for our trading talk podcast every Tuesday.

Topics will be confirmed on the day.

Build on pattern recognition by learning how context, maturity, and location affect pattern quality.

Objectives

1. Judge whether a pattern is early, mature, or already late
2. Use context and location to assess pattern quality
3. Recognise when a pattern is weak despite looking neat
4. Avoid textbook pattern trading without market context
5. Improve trade selection by grading pattern quality

In this session, we introduce the TTM FX Market Map and explain how it is used as a decision-support tool. The indicator is not a signal tool. It is designed to help traders read structure, trend direction, current chart status and early changes across the key timeframes.

We walk through the main sections of the Market Map, explain what each part means, and show how the information should be interpreted in context.

Knowing what the numbers mean is only the first step. You then need a reading process.

• Identify the strongest currencies
• Identify the weakest currencies
• Compare strong against weak
• Read the Gap
• Check Daily structure
• Check 240-minute structure
• Check 60-minute structure
• Assess alignment and conflict
• Recognise continuation, transition and reversal-watch conditions
• Build the shortlist

You will also learn how to interpret ranking changes without overreacting to every short-term shift.

This session focuses on the Daily chart and its role in the TTM Forex model. The Daily timeframe is used to identify the larger directional structure and the major trend environment.

We cover the 21×89 relationship, what a proper trend change looks like, how to recognise early versus mature trends, and why the Daily chart must be respected when planning Forex trades.

The Market Map narrows the field. The chart still determines whether a trade exists.

• The larger structure
• The current trend phase
• Pullback structure
• Support and resistance
• EMA structure
• Candle behaviour
• Market structure failure

Sometimes the chart confirms the Market Map immediately. Sometimes it tells you to wait. Sometimes it tells you that the opportunity is not tradable at all. That distinction is an important part of the process.

The Daily chart defines the main campaign opportunity. You will learn how to distinguish fresh Daily conditions from existing trends and when the Daily structure does not support a new position.

The 240-minute timeframe can provide an opportunity to build a position inside an established Daily campaign. You will learn when an add is justified, when it is too late and when 240-minute structure conflicts with the Daily chart.

The 60-minute chart provides shorter-term opportunities inside the broader market environment. You will learn how the 8 x 21 structure is used, how continuation opportunities develop and why every 60-minute signal is not a trade.

Learn how to judge breakout quality using compression, location, momentum, and available room.

Objectives

1. Understand what a breakout is actually showing on a chart
2. Recognise cleaner breakout structures and build-up conditions
3. Judge whether a breakout has enough room to develop
4. Use momentum and location to improve breakout assessment
5. Avoid reacting to every move through a level

A setup and a trigger do different jobs. This session defines the point at which a promising market condition becomes an actionable trading decision, and what a useful trigger must confirm before it belongs in a system.

You’ll understand: how to separate setup conditions from the event that causes action, and how a trigger reduces premature or discretionary entries.

Worked example: the existing methodology is used to show how the shorter-term trigger sits inside the broader setup rather than operating as a standalone signal.

For your own system: define what must happen before you are prepared to act on your own setup.

A stop should not be placed where it is convenient. It should be placed where the original trade idea becomes technically invalid.

• Prior swing highs and lows
• Market-structure stops
• Candle-pattern failure
• Long and short stop placement
• When a stop is too tight
• Position sizing from current equity
• Stop distance
• Pip value
• Different stop distances with the same percentage risk
• Leverage versus actual position risk

We then move beyond the single trade and deal with the wider Forex portfolio.

• Pair-level risk
• Campaign risk
• Total Forex risk
• Correlated currency exposure
• Multiple trades driven by the same currency
• Risk when adding positions
• Concentration risk

A good trend can create more than one opportunity, but that does not mean you should simply keep adding exposure.

You will learn when an add is permitted, how to manage original and added positions, how trend maturity affects the decision and when not to add.

• Initial risk phase
• Developing trades
• Protecting profit
• Moving stops
• Why breakeven is not automatically the correct stop
• Structure-based trailing
• Normal trend pullbacks
• Structural exits
• Trend-failure exits
• Trailing exits
• Partial and final exits
• Mature trends
• Stop, reassess and reverse

A stopped trade does not automatically mean the opposite trade is valid. The opposite direction must qualify independently through the normal TTM process.

Study how weak breaks fail, how trap structures form, and why failed breakouts often create stronger technical opportunities.

Objectives

1. Recognise failed breakouts and false continuation
2. Understand how trap structures usually develop
3. Use failed moves as information rather than frustration
4. Separate cleaner reversal opportunity from random noise
5. Improve decision-making around breakout failure

You’ll understand: what makes an entry rule specific enough to follow, review and eventually test.

Worked example: valid and invalid entries are compared so the execution rules become clear without turning every market situation into a new exception.

For your own system: write Entry Rules V0.1 for your own system, including what confirms the entry and what causes you to stand aside.

The final session brings the full TTM Forex process together. We focus on how trades are managed after entry, how decisions are reviewed, and how members can begin applying the model in a structured way.

We cover trade management, exits, campaign review, common mistakes, journaling and the practical next steps for using the TTM Forex framework after the workshop.

The final session brings the full process together through case studies, chart analysis and practical application.

Learn when stretched markets are more likely to revert and when fading price is a low-quality idea.

Objectives

1. Understand what mean reversion is in practical chart terms
2. Recognise stretched price versus healthy trend movement
3. Separate cleaner reversion conditions from dangerous fades
4. Use location and context to improve reversion analysis
5. Avoid treating every extended move as an automatic reversal

You’ll understand: the difference between normal price movement and genuine invalidation, and how structure can be used to define protection.

Worked example: swing points, consolidation support or resistance and opposite structure are used to show how the stop follows the trade idea.

For your own system: define what would invalidate your own trade idea and identify the market information your stop should be based on.

Apply oscillators properly by using them to read stretch, exhaustion, and market condition in context.

Objectives

1. Understand what Stochastic, CCI, and Williams %R are measuring
2. Use oscillators to support chart context rather than replace it
3. Recognise stretch and exhaustion more effectively
4. Separate trend continuation conditions from reversion conditions
5. Avoid simplistic oscillator signals without technical context

You’ll understand: how stop distance, risk percentage and position size work together, and why size should be a result of the risk decision rather than a guess.

Worked example: the completed entry and stop are used to calculate initial exposure on the worked example.

For your own system: set an initial risk rule and a repeatable position-sizing method for your own system.

Learn how RSI can be used to read momentum condition, shift, and possible weakness rather than as a simplistic signal tool.

Objectives

1. Understand RSI beyond basic overbought and oversold ideas
2. Use RSI to judge momentum condition and possible shift
3. Recognise when RSI behaves differently in trends and ranges
4. Combine RSI with price action and structure
5. Avoid reducing RSI to one-click trading signals

You’ll understand: how to distinguish useful trade management from reacting to every fluctuation in P&L.

Worked example: the methodology is used to show how structure, opposing signals and changing conditions can affect an open trade.

For your own system: decide which events justify action after entry and which do not.

Build on momentum analysis by using Bollinger Bands to identify stretch, squeezes, and volatility expansion conditions.

Objectives

1. Use Bollinger Bands to recognise compression and expansion
2. Identify stretch and squeeze conditions more clearly
3. Understand how volatility affects setup quality
4. Combine volatility clues with structure and momentum context
5. Improve timing by reading volatility behaviour more practically

You’ll understand: how to add without allowing several individually acceptable entries to create an unacceptable total position.

Worked example: higher- and lower-timeframe opportunities are combined into one campaign, with different limits for fresh and mature trends.

For your own system: define whether your system allows adds, what qualifies as an add and the maximum risk you will allow across the full idea.

You’ll understand: how an exit can respond to the trade idea changing rather than simply to a fixed profit or loss number.

Worked example: the single-pair process is completed by looking at when to close, when to stand aside and when an opposite opportunity represents a new trade rather than an emotional reversal.

For your own system: define the events that end your trade and what must happen before an opposite position can be considered.

Learn how to compare markets, sectors, or shares to identify technical leadership and laggards.

Objectives

1. Understand what relative strength and weakness mean on charts
2. Compare markets, sectors, or shares more effectively
3. Recognise leadership and laggards in a technical way
4. Use comparison work to improve chart selection
5. Add a market-selection layer to technical analysis

Turn relative strength work into a practical process for finding charts with stronger technical potential.

Objectives

1. Build a cleaner technical watchlist process
2. Use chart quality and leadership clues for selection
3. Filter weaker opportunities out earlier
4. Focus attention on charts with stronger technical potential
5. Improve preparation by narrowing attention more effectively

You’ll understand: how relative strength can help organise a large Forex universe and why the choice of both currencies in the pair matters.

Worked example: currency and pair comparisons are used to show how a shortlist can become more selective before the technical setup is considered.

For your own system: identify whether relative strength or another comparative measure could improve market selection in your own system.

Learn how the opening phase of a market session can shape chart quality, false starts, and early technical opportunity.

Objectives

1. Understand why opening range behaviour matters
2. Recognise early momentum versus false starts
3. Use session structure to improve chart context
4. Separate cleaner early opportunity from opening noise
5. Add time-of-day awareness to technical analysis

You’ll understand: why currencies often respond to changes in expected rates and yields rather than simply to the current headline interest rate.

Worked example: real currency examples are used to connect changes in rates and yields with relative currency behaviour.

For your own system: consider whether your market-selection process needs information beyond the chart and what role that information should play.

Learn how the opening phase of a market session can shape chart quality, false starts, and early technical opportunity.

Objectives

1. Understand why opening range behaviour matters
2. Recognise early momentum versus false starts
3. Use session structure to improve chart context
4. Separate cleaner early opportunity from opening noise
5. Add time-of-day awareness to technical analysis

You’ll understand: the basic relationship between economic expectations, policy expectations and currency demand without turning the session into an economics lecture.

Worked example: different macro environments are compared to show why the same data point can have a different market effect depending on the surrounding expectations.

For your own system: identify the broader information that may materially affect the market you trade and separate it from information that adds noise.

You’ll understand: how macro context can support, conflict with or add caution to a technical opportunity without manufacturing a trade that is not there.

Worked example: technical opportunities are compared with the surrounding currency context to show how the two layers can work together.

For your own system: define how outside information is allowed to influence your own system and, just as importantly, what it is not allowed to change.

You’ll understand: how currency rankings, yield context and market state fit together and what each measure contributes to the selection process.

Worked example: the live Market Map is worked through from top to bottom so the purpose of each section is clear.

For your own system: consider how a dashboard or selection process for your own system should organise information before a trade is considered.

Once the behavioural mistakes are clear, traders need a structured flow to manage trades without constant emotional interference.

You’ll understand: how early change, established alignment and weakening conditions can look different across timeframes.

Worked example: current and historical Market Map states are compared to show how the information evolves rather than remaining fixed.

For your own system: identify whether your own selection process needs a way to distinguish current state from developing change.

You’ll understand: how to move from a large currency universe to a manageable list without confusing selection with entry.

Worked example: the Market Map is taken through the full process from broad currency view to a focused pair shortlist.

For your own system: define the steps your own system would use to narrow a larger universe before applying its setup and trigger rules.

You’ll understand: why counting trades is not the same as measuring exposure and how apparently separate positions can create one large risk.

Worked example: several pair combinations are compared to show when the same currency is driving the whole portfolio.

For your own system: identify where your own system could create hidden concentration when more than one position is open.

You’ll understand: how pair limits, correlated exposure and an overall portfolio cap work together.

Worked example: the worked example uses first, second and possible third-pair exposure to show how risk changes when positions share the same currency driver.

For your own system: set rules for the maximum total exposure your own system can carry when several positions are open.

You’ll understand: what should be tested, what evidence is useful and why changing several variables at once makes conclusions unreliable.

Worked example: parts of the methodology are separated into testable questions so assumptions can be challenged rather than accepted because the finished system already exists.

For your own system: turn the major assumptions in your own system into clear test questions with pass, fail or inconclusive outcomes.

You’ll understand: the difference between testing a component and testing the complete decision chain from selection through exit.

Worked example: the full worked methodology is examined as one connected process rather than as a collection of separate rules.

For your own system: design a simple test plan for your complete system and decide which results would genuinely change your view of it.

The final session turns the year’s work into a forward-looking development plan. Traders will define what needs to be refined, reduced, strengthened, or scaled over the next cycle.

You’ll understand: what needs to be recorded to separate system performance from execution quality and repeated decision errors.

Worked example: trade examples are reviewed by decision quality and rule adherence rather than by P&L alone.

For your own system: decide what your journal must capture so you can evaluate both the system and the way you execute it.