Building a VCP Watchlist: Criteria and Monitoring Process
- Anita Arnold
- Jan 18
- 16 min read
Systematic VCP watchlist construction determines which identified patterns receive monitoring resources and at what intensity level. Research by O'Neal (2000) examining sector fund momentum strategies demonstrated that systematic selection criteria outperform discretionary judgment in momentum investing. This finding extends to VCP pattern monitoring—establishing clear watchlist inclusion criteria and structured monitoring protocols improves both efficiency and effectiveness compared to informal pattern tracking.
Mark Minervini's emphasis on consistent systematic work underlies successful watchlist management: "Everything that I do... Looking at the charts, there's a couple general rules of thumb. I find it's best to look at it later to let some time go by, months go by." This disciplined approach to chart review requires organized watchlists enabling regular pattern assessment without overwhelming analytical capacity.
The ASX market's sector concentration and liquidity characteristics create specific watchlist management considerations. Materials and Financials representing approximately 45% of ASX 200 market capitalization means sector rotation can cause multiple watchlist patterns to activate or fail simultaneously, requiring monitoring protocols addressing correlated pattern behaviour.
The Academic Framework for Systematic Pattern Monitoring
Research published in the Journal of Finance by Jegadeesh and Titman (1993) established that momentum strategies demonstrate persistence over 3-12 month periods. This time dimension creates the foundation for VCP watchlist management—patterns form over weeks to months, requiring sustained monitoring through multiple development stages before reaching actionable breakout setups.
Subsequent research by Moskowitz and Grinblatt (1999) demonstrated that industry momentum accounts for the majority of individual stock momentum, generating statistically significant risk-adjusted returns of 1.49% monthly. Their findings establish that sector context determines pattern monitoring priority—patterns within leading sectors warrant more intensive monitoring than technically similar patterns in lagging sectors.
Research by Fernández-Avilés et al. (2025) in the Journal of Risk and Financial Management quantifying intra-sector correlations at 0.68-0.74 during normal conditions and 0.82-0.88 during high volatility demonstrates that watchlist patterns cluster by sector. This correlation structure informs monitoring efficiency—reviewing one pattern within a sector often reveals similar progression across other patterns in the same sector, enabling batch monitoring approaches.
Ehsani and Linnainmaa (2022) research published through the National Bureau of Economic Research demonstrated that factor momentum subsumes much industry momentum. Their findings suggest that monitoring protocols should track not just individual pattern progression but underlying momentum factor persistence supporting patterns. When broad market momentum factors deteriorate, multiple watchlist patterns may fail simultaneously regardless of individual technical quality.
Watchlist Inclusion Criteria: The Entry Standards
Systematic watchlist construction requires explicit criteria determining which identified VCP patterns qualify for monitoring resources. Clear inclusion standards prevent watchlist bloat with marginal candidates while ensuring legitimate opportunities receive appropriate attention.
Prior uptrend establishment represents the non-negotiable first criterion. Valid VCP patterns form after stocks have established uptrends—typically defined as trading above rising 50-day and 200-day moving averages with the 50-day above the 200-day. Patterns forming during downtrends or at multi-year lows fail fundamental VCP requirements regardless of contraction appearance. Stage analysis framework classifies qualifying patterns as Stage 2 (advancing stage) rather than Stage 1 (basing) or Stage 4 (declining).
Minimum three contractions constitute the technical pattern requirement. Minervini describes the VCP structure: "The VCP has contractions where it goes through usually the first correction might be 20%, 25%, 33%, and then it'll contract usually the contractions are about half of the previous correction. So maybe it contracts to 10 or 15 and then contracts to 3, 4 or 5 or 8%." Patterns demonstrating fewer than three distinct contractions represent simple consolidations rather than classic VCPs, though exceptional patterns with only two contractions occasionally qualify if other characteristics prove exceptionally strong.
Progressive volatility reduction confirms supply exhaustion dynamics. Each successive contraction must demonstrate smaller percentage depth and shorter time duration than the previous contraction. Patterns where later contractions equal or exceed earlier contractions fail to show the telescoping volatility characteristic of genuine VCPs. The specific requirement: second contraction typically 40-60% of first contraction depth, third contraction 30-50% of second contraction depth.
Declining volume during contractions indicates weakening selling pressure. Volume patterns provide critical confirmation of supply exhaustion—volume should diminish through successive pullbacks as fewer sellers remain willing to exit positions. The final contraction before breakout typically demonstrates the lowest volume of the entire base formation. Minervini explains: "When you quiet the stock down and it gets very tight on that right side after contracting and the volume comes in, that's telling you that stock supply has stopped coming to market."
Sector leadership positioning determines pattern priority. Research demonstrating that 60-73% of momentum returns derive from sector-level factors establishes that patterns within leading sectors warrant watchlist inclusion at lower technical quality thresholds than patterns in lagging sectors. A moderate-quality VCP in a top-quartile sector may deserve monitoring while a technically superior pattern in a bottom-quartile sector may not qualify.
Fundamental quality thresholds separate patterns likely to sustain institutional sponsorship from those lacking fundamental support. Minimum criteria include: positive earnings growth over recent quarters, revenue growth consistency, no recent earnings disappointments or guidance reductions, institutional ownership above median for the sector, and adequate liquidity (minimum $500,000-$1,000,000 average daily value traded). Patterns failing fundamental screens rarely sustain breakouts even when technically valid.
Identifiable pivot point provides clear breakout level definition. Valid VCP patterns form resistance levels from prior highs within the base, creating distinct pivot points where breakouts occur. Patterns lacking clear pivot levels—bases with choppy, overlapping price action throughout—complicate entry timing and typically indicate inadequate institutional accumulation.
These inclusion criteria collectively ensure that watchlist patterns demonstrate both technical validity and contextual support (sector leadership, fundamental quality) necessary for high-probability outcomes. Patterns meeting all criteria warrant monitoring; patterns failing multiple criteria should not consume limited monitoring resources regardless of superficial appeal.
Tiered Watchlist Structure: Organizing by Development Stage
Effective watchlist management requires differentiation by pattern development stage, as different stages demand different monitoring intensity and action readiness levels. Research on decision quality demonstrates that excessive options reduce decision effectiveness—attempting to monitor all patterns with equal intensity prevents adequate focus on immediate opportunities.
Tier 1: Immediate Setups (Maximum 4 stocks) represents patterns in late-stage formation or within 5% of recent breakout. These patterns demonstrate complete VCP structure with final contraction extremely tight, volume at lowest levels of entire base, and price action approaching or testing identified pivot points. Minervini's emphasis on being the "last weak holder" applies to Tier 1 patterns: "I want to be the last week holder. The supply there, you're in an uptrend, there's big institutions that are buying this stock. When you finally weed out all these little guys, there's nothing left, there's no supply and now you have big demand."
Tier 1 monitoring protocol requires daily chart review examining intraday price and volume action, pivot point testing behaviour, and breakout signal emergence. Position sizing planning, entry order preparation, and risk management parameter setting (stop-loss levels, initial profit targets) occur during Tier 1 stage. The maximum capacity of 4 stocks prevents attention dilution—more than 4 immediate setups typically indicates insufficient selectivity in promotion criteria.
Tier 2: Developing Patterns (Maximum 8 stocks) encompasses patterns in mid-to-late formation demonstrating clear VCP structure but not yet reaching final contraction tightness. These patterns have completed 2-3 contractions with proper progressive volatility reduction, maintain position above rising moving averages, and reside within leading sectors. Estimated time to potential breakout ranges from 2-6 weeks based on typical contraction duration patterns.
Tier 2 monitoring protocol involves 2-3 reviews weekly, typically examining weekly charts for overall progression and daily charts for current contraction stage assessment. Promotion to Tier 1 occurs when patterns enter final contraction with significant volume decline and price tightening. Demotion to Tier 3 or removal occurs if patterns violate key support levels, demonstrate widening rather than narrowing volatility, or exceed 20-24 weeks in formation without progression.
Tier 3: Early Formation (Maximum 15 stocks) contains patterns in initial stages demonstrating 1-2 completed contractions with proper depth characteristics but requiring extended time before potential breakout readiness. These patterns meet fundamental quality and sector leadership criteria, show valid prior uptrends and technical structure, but remain early in the 8-20+ week base formation typical of VCP patterns.
Tier 3 monitoring protocol requires weekly review examining overall base progression, contraction count and characteristics, and ongoing sector leadership maintenance. Promotion to Tier 2 occurs as patterns complete second or third contractions and approach mid-formation stage. Removal occurs if fundamental quality deteriorates (earnings misses, guidance reductions), sector leadership erodes, or technical structure breaks down (violation of 50-day or 200-day moving averages).
Tier 4: Sector/Theme Monitoring (Maximum 30 stocks) represents stocks within identified leading sectors or emerging Launch Pad themes not yet demonstrating VCP pattern characteristics but warranting observation for pattern emergence. These stocks meet fundamental quality criteria, operate within top-quartile sectors by relative strength, and demonstrate technical characteristics suggesting potential future pattern formation (trading above moving averages, establishing initial consolidation ranges).
Tier 4 monitoring protocol involves bi-weekly review identifying which stocks are beginning base formation or initial consolidation. Promotion to Tier 3 occurs when stocks demonstrate first completed contraction with proper depth and duration characteristics. Removal occurs when stocks break technical structure, sectors lose leadership status, or fundamental quality deteriorates.
This four-tier structure with explicit capacity limits ensures focused monitoring. The capacity constraints—4 Tier 1, 8 Tier 2, 15 Tier 3, 30 Tier 4—force prioritization decisions. When watchlists reach capacity, new pattern additions require either promotion of existing patterns to higher tiers (creating vacancies) or removal of lowest-quality patterns within tiers. This discipline prevents uncontrolled watchlist expansion degrading monitoring quality.
Remember that past performance is no guarantee of future results, and all trading involves risk. The tiered watchlist structure represents an organizational framework rather than a guarantee of pattern success.
Monitoring Protocols: What to Track and When
Systematic monitoring protocols define specific metrics tracked for each watchlist pattern and establish review frequency by tier. Research demonstrating momentum persistence over 3-12 months establishes that consistent monitoring through pattern development stages captures opportunities while avoiding premature action on incomplete formations.
Price progression metrics track pattern development quantitatively:
Current contraction number (1st, 2nd, 3rd, 4th) documents progression through VCP structure
Contraction depth percentages from recent high to current pullback low for each completed contraction validates progressive volatility reduction
Contraction time duration in trading days or weeks for each completed contraction confirms time compression
Distance from pivot point as percentage above or below identified breakout level indicates proximity to action point
Distance from key moving averages (50-day, 200-day) confirms trend structure maintenance
Volume trend analysis validates supply/demand dynamics:
Average volume during current contraction compared to previous contractions shows declining selling pressure
Volume trend direction (increasing/stable/decreasing) over recent 2-4 weeks indicates accumulation or distribution
Volume relative to 50-day average identifies whether current levels represent extreme low readings suggesting supply exhaustion
Volume spikes during rallies versus volume during pullbacks confirms buying interest exceeds selling pressure
Sector context maintenance ensures patterns retain contextual support:
Sector relative strength ranking updated weekly confirms sector maintains leadership position
Sector breadth metrics (percentage of constituents above 50-day MA) validate broad sector participation
Sector rotation trends identify whether sector is strengthening, stable, or weakening in relative terms
Thematic classification status tracks whether identified Launch Pad themes maintain correlated strength
Fundamental monitoring detects deterioration before technical breakdown:
Earnings announcement dates enable preparation for potential catalyst or risk events
Analyst rating changes provide early signals of shifting fundamental perceptions
Institutional ownership updates quarterly track whether professional capital continues accumulating
News and corporate announcements identify events potentially affecting pattern validity (executive departures, strategy changes, competitive threats)
Technical structure assessment verifies pattern integrity:
Moving average alignment confirms 50-day remains above 200-day and price remains above both
Support level integrity checks whether key support levels from prior contractions remain intact
Resistance level definition identifies clear pivot points and overhead supply zones
Relative strength ranking evolution tracks whether stock maintains or improves relative performance
These monitoring metrics enable objective pattern assessment without subjective interpretation. Recording metrics systematically in spreadsheet format creates historical documentation allowing pattern progression analysis and post-review learning.
Promotion, Demotion, and Removal Criteria
Systematic watchlist management requires explicit criteria governing pattern movement between tiers and removal from monitoring. Clear decision rules prevent emotional attachment to failing patterns while ensuring legitimate opportunities receive appropriate priority.
Tier 3 → Tier 2 Promotion Criteria:
Completion of second contraction with depth 40-60% of first contraction
Time duration of second contraction shorter than first contraction
Price remains above rising 50-day and 200-day moving averages
Sector maintains position in top 30% by relative strength
Volume continues declining through contractions
No fundamental deterioration (earnings, guidance, institutional ownership)
Tier 2 → Tier 1 Promotion Criteria:
Entry into final (3rd or 4th) contraction with extremely tight price range
Volume declining to lowest levels of entire base formation
Distance from identified pivot point reduces to 3-5%
Daily chart demonstrates constructive consolidation without volatility expansion
Sector maintains leadership and ideally strengthens
Fundamental quality confirmed through recent data
Tier 1 → Active Trade (Entry Execution):
Breakout through identified pivot point on expanding volume
Price advances 1-3% above pivot with conviction
Volume expands to 40-50%+ above 50-day average
Intraday price action demonstrates institutional buying characteristics
Market conditions favorable (overall market breadth positive, sector strong)
Minervini's emphasis on letting stocks "lead" him applies to entry timing: "I'm looking at the price, I'm just looking at the price when it gets through the level and then I'm watching very carefully the subsequent action, seeing if it holds up." The confirmation period following initial breakout validates pattern quality before full position commitment.
Tier 1 → Tier 2 Demotion Criteria:
Breakout attempt fails and price returns below pivot
Volume expansion occurs during selling rather than buying
Time in final tightening stage exceeds 3-4 weeks without breakout
Sector leadership deteriorates significantly
Tier 2 → Tier 3 Demotion Criteria:
Pattern progression stalls with no contraction advancement over 3-4 weeks
Volatility begins expanding rather than contracting
Volume patterns reverse (increasing during declines, decreasing during rallies)
Tier 3 → Tier 4 Demotion Criteria:
Pattern structure breaks down without clear VCP characteristics emerging
Time in early formation extends beyond 8-10 weeks without progression
Removal from All Tiers Criteria:
Price violates 50-day moving average by more than 7-8% (Minervini's stop-loss threshold)
Price closes below 200-day moving average
Fundamental deterioration (earnings miss, guidance reduction, executive departure)
Sector loses leadership position (drops to bottom 50% by relative strength)
Pattern duration exceeds 30-40 weeks without breakout (extended bases lose efficacy)
Volume patterns reverse consistently over 2-3 weeks
Technical structure demonstrates distribution characteristics (price down on expanding volume)
Removal decisions prevent portfolio drag from failed patterns consuming monitoring resources. Minervini's commitment to cutting losses applies to watchlists: "Never ever again am I allowing a loss to balloon. I'm cutting a line in the sand and that's it." While watchlist patterns don't represent actual positions with capital at risk, the opportunity cost of monitoring failed patterns rather than seeking new opportunities justifies systematic removal discipline.
Documentation and Historical Tracking
Systematic documentation of watchlist patterns creates learning opportunities through post-analysis of pattern outcomes. Recording pattern characteristics, monitoring observations, and ultimate results enables continuous improvement in pattern recognition and monitoring effectiveness.
Pattern Entry Documentation:
Date added to watchlist and initial tier assignment
Base start date and duration at time of watchlist addition
Number of contractions completed and depth percentages
Sector classification and relative strength ranking
Fundamental quality metrics (earnings growth, revenue growth, institutional ownership)
Initial pivot point identification
Reason for watchlist inclusion (specific pattern characteristics, sector context, thematic exposure)
Progression Tracking:
Weekly updates of key metrics (contraction stage, volume trends, distance from pivot)
Tier promotion/demotion dates with reasons
Significant events (earnings announcements, analyst changes, news items)
Sector relative strength evolution
Technical structure changes (moving average tests, support/resistance interactions)
Outcome Recording:
Final disposition (successful breakout and entry, failed pattern removed, voluntary exit)
If entered: entry date, entry price, position size, initial stop-loss level
If removed without entry: removal reason and date
Pattern duration from watchlist addition to final disposition
Sector performance during pattern monitoring period
This documentation enables post-review analysis identifying which pattern characteristics correlate with successful outcomes versus failed patterns. Research by Linnainmaa and Roberts (2016) demonstrated that hundreds of documented market anomalies result from data mining rather than genuine predictive patterns. Historical tracking of personal watchlist patterns prevents similar errors—distinguishing pattern characteristics genuinely predictive of breakout success from superficial characteristics lacking predictive value.
Common insights from historical tracking include: optimal base duration ranges producing highest success rates, sector leadership persistence thresholds predicting pattern follow-through, volume patterns most reliably indicating supply exhaustion, and fundamental deterioration signals warranting early removal. These learnings continuously refine watchlist inclusion criteria and monitoring protocols.
Integration with Friday Market Analysis
The systematic watchlist monitoring process gains significant efficiency through integration with weekly market analysis examining overall market conditions, sector rotation, and thematic developments. This integration ensures watchlist patterns are contextualized within current market environment.
Overall market assessment informs watchlist monitoring intensity. Minervini notes market conditions guide aggressiveness: "Everything that guides us, whether we get aggressive or not, is all based on our own trades working. Doesn't matter the whole world could be doing well, if our trades aren't working we're not increasing size." Market breadth deterioration—measured through percentage of stocks above moving averages, new high/new low ratios, and advance/decline trends—suggests reducing watchlist promotion aggressiveness and increasing pattern removal sensitivity.
Sector rotation dynamics reveal whether watchlist patterns maintain contextual support. When sectors containing multiple watchlist patterns weaken in relative strength rankings, this deterioration may precede individual pattern failures. Proactive tier demotion or removal of patterns within weakening sectors prevents holding patterns until technical breakdowns confirm sector weakness already observable at sector level.
Emerging Launch Pad theme identification during weekly analysis may reveal new pattern candidates for Tier 4 or Tier 3 addition. Systematic observation of unusual relative strength clustering across stocks sharing business characteristics surfaces opportunities before dedicated analytical focus on specific securities. This thematic awareness creates early watchlist additions before patterns fully develop.
The Finer Market Points YouTube channel conducts comprehensive Friday analysis sessions demonstrating this integrated approach. The Friday scans combine overall market assessment, sector leadership tracking, Launch Pad theme identification, and watchlist pattern review into systematic weekly workflow. These sessions illustrate how tiered watchlist management operates in practice, showing real-time progression tracking, tier promotion/demotion decisions, and pattern removal discipline applied to current ASX market conditions.
Access to these Friday ASX VCP scans demonstrating watchlist management in weekly practice is available through the Finer Market Points YouTube channel at https://www.youtube.com/@finermarketpoints. Each week's analysis provides practical examples of how patterns progress through tiers, which patterns warrant promotion to higher monitoring intensity, and which patterns require removal despite initial promise.
Common Watchlist Management Mistakes
Experience reveals predictable errors in VCP watchlist management reducing effectiveness and leading to poor outcomes.
Excessive watchlist capacity represents the most common mistake. Attempting to monitor 40-50 VCP patterns simultaneously prevents adequate attention to the highest-quality 5-10 setups. Research on decision quality demonstrates that excessive options reduce decision effectiveness—the optimal number of Tier 1 immediate setups is 3-5 maximum, not 15-20. Strict tier capacity limits force prioritization discipline ensuring focused monitoring.
Emotional attachment to failing patterns causes holding patterns on watchlists long after removal criteria activate. A pattern demonstrating initial promise may generate psychological investment, leading to rationalization when the pattern deteriorates rather than systematic removal. Minervini's emphasis on cutting losses applies: "I made that change and everything changed from that point forward. It was just amazing. I started getting consistent returns, my drawdowns just started perfecting the risk management." Watchlist removal discipline prevents opportunity cost of monitoring failed patterns.
Insufficient documentation eliminates learning opportunities. Failing to record pattern characteristics, progression metrics, and outcomes prevents post-analysis identifying which characteristics predict success versus failure. Without historical data, pattern recognition improves only slowly through informal experience rather than systematically through documented analysis.
Inconsistent monitoring frequency undermines the tiered approach. If Tier 1 patterns receive only weekly review instead of daily monitoring, breakout signals may be missed or entries executed late after optimal timing passes. Conversely, if Tier 3 patterns receive daily monitoring, analytical capacity wastes on patterns months from actionable status. Discipline matching monitoring frequency to tier designation maintains efficiency.
Neglecting sector context updates causes holding patterns after sector leadership deteriorates. A pattern may maintain technical validity while the sector weakens significantly in relative strength rankings. Research demonstrating 60-73% of momentum returns derive from sector factors establishes that sector deterioration predicts individual pattern failure probability increases substantially. Weekly sector context updates enable proactive pattern removal before technical breakdowns confirm sector weakness.
Premature tier promotion results in Tier 1 overcrowding with patterns not yet ready for immediate action. Promotion criteria exist for specific reasons—patterns require complete VCP structure, final contraction tightening, and proximity to pivot points before warranting daily monitoring intensity. Promoting patterns prematurely because they "look good" rather than meeting explicit criteria dilutes Tier 1 focus.
Failure to capture pattern outcomes prevents learning from both successes and failures. Removing patterns from watchlists without documenting removal reasons and pattern state at removal eliminates opportunities to identify which pattern failures could have been predicted earlier through specific warning signals. Systematic outcome recording enables continuous improvement in pattern recognition and monitoring protocols.
Testing VCP Pattern Recognition and Monitoring Skills
Effective watchlist management requires accurate pattern recognition, progression assessment, and tier classification judgment. Developing these integrated skills precedes successful watchlist implementation.
The Free Master Momentum Trading Quiz at https://fmp-trading-tools.thinkific.com/products/courses/master-momentum-trading-mark-minervini-vcp tests pattern recognition skills across multiple VCP examples, providing immediate feedback on recognition accuracy, reinforcement of key VCP characteristics and volume behaviour, and coverage of both entry and exit signals.
The quiz helps identify gaps in pattern recognition before implementing watchlist monitoring routines. Common errors—misjudging contraction progression stages, incorrectly assessing whether patterns demonstrate proper volatility reduction, or failing to identify when patterns invalidate—surface through quiz feedback, enabling skill refinement before live watchlist management.
Combining quiz-based pattern recognition practice with observation of real-world watchlist management through the Friday ASX scans on the Finer Market Points YouTube channel develops integrated monitoring skills. The Friday scans demonstrate how patterns progress through development stages, which characteristics warrant tier promotions, and when patterns require removal despite superficial technical validity.
Implementation Guidelines and Conclusion
Systematic VCP watchlist construction and monitoring following tiered structure with explicit criteria improves both efficiency and effectiveness compared to informal pattern tracking:
Clear watchlist inclusion criteria ensure monitoring resources concentrate on patterns demonstrating technical validity and contextual support (sector leadership, fundamental quality). Patterns meeting prior uptrend, minimum contraction count, progressive volatility reduction, sector leadership, and fundamental quality thresholds warrant monitoring.
Four-tier watchlist structure with capacity limits maintains focus on immediate opportunities while tracking developing patterns and potential future formations. Tier capacity constraints—maximum 4 Tier 1, 8 Tier 2, 15 Tier 3, 30 Tier 4—force prioritization preventing attention dilution across excessive candidates.
Systematic monitoring protocols define specific metrics tracked for each pattern and establish review frequency matching development stage. Daily monitoring for Tier 1 immediate setups, 2-3 weekly reviews for Tier 2 developing patterns, weekly review for Tier 3 early formations, and bi-weekly review for Tier 4 sector monitoring balances thoroughness with efficiency.
Explicit promotion, demotion, and removal criteria eliminate subjective judgment in tier movement decisions. Clear decision rules based on contraction progression, volume patterns, sector context, and fundamental quality enable consistent watchlist management discipline.
Historical documentation of pattern characteristics, progression tracking, and outcomes creates continuous learning opportunities. Post-analysis of recorded patterns identifies which characteristics correlate with successful breakouts versus failed formations, refining future pattern recognition and monitoring effectiveness.
Integration with weekly market analysis examining overall conditions, sector rotation, and emerging themes contextualizes individual patterns within broader market environment. This integration prevents monitoring patterns after contextual support deteriorates and surfaces new opportunities from emerging thematic strength.
The Finer Market Points YouTube channel's Friday ASX VCP scans demonstrate comprehensive watchlist management in weekly practice, showing tier structures, monitoring protocols, promotion/demotion decisions, and removal discipline applied to current market conditions. Systematic application of these watchlist principles combined with disciplined monitoring creates the foundation for capturing high-probability VCP breakout opportunities on the ASX market. Explore the Complete VCP Framework: This article is part of the Complete VCP Trading Guide for ASX Markets, covering all aspects of Mark Minervini's methodology. Educational Disclaimer: This content is for educational purposes only and does not constitute financial advice. Past performance is no guarantee of future results. Consider your financial situation and seek professional advice before making investment decisions.
Finer Market Points Pty Ltd, CAR 1304002, AFSL 526688, ABN 87 645 284 680. This general information is educational only and not financial advice, recommendation, forecast or solicitation. Consider your objectives, financial situation and needs before acting. Seek appropriate professional advice. We accept no liability for any loss or damages arising from use.
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