Real-Time Alerts LIVE - 10 Trades From The Desk

Key Concepts

• Alpha Generation: The ability to produce returns above a benchmark or market average.
• Real-Time Alerts: Immediate notifications of trading actions or market insights.
• Coaching Session Style: An educational approach where the presenter explains their actions and reasoning rather than just providing outcomes.
• Position Sizing: Determining the appropriate amount of capital to allocate to a specific investment.
• Signal Strength: A proprietary metric indicating the conviction or historical accuracy of a trading signal.
• PVV Model (Price, Volume, Volatility): A proprietary model that analyzes the relationship between price, volume, and volatility to identify trading opportunities.
• Rate of Change (ROC): A momentum indicator that measures the percentage change in price over a specified period.
• Fractal Patterns: Self-similar patterns that repeat at different scales within market data.
• Risk Management: Strategies and processes to mitigate potential losses in investments.
• Long-Short Book: A portfolio that includes both long (betting on price increases) and short (betting on price decreases) positions.
• Asset Allocation: The process of dividing an investment portfolio among different asset categories, such as stocks, bonds, and commodities.
• Beta Adjustment: Adjusting investment positions based on their sensitivity to overall market movements.
• Chop Bucket: A market condition characterized by sideways price action and lack of clear direction.
• Quad Analysis: A framework for understanding market regimes based on economic growth and inflation.
• Cost Basis: The original value of an asset for tax purposes, used to calculate capital gains or losses.
• Humility in Trading: Recognizing the inherent uncertainty in markets and the need to adapt.

Coaching Session on Real-Time Alerts and Portfolio Management

This session focuses on a "coaching session style" approach to understanding real-time trading alerts, emphasizing the "how" and "why" behind the decisions rather than just providing stock picks. The presenter, Matt Cooper, aims to teach participants how to "fish" (understand the process) rather than just "giving them fish" (providing stock picks).

1. Philosophy and Approach to Real-Time Alerts

• Evolution of Communication: In the early days of Hedgei, the focus was on generating alpha for institutional managers, with less emphasis on explaining the process. Now, at 50 years old and with 25 years in the industry, the priority is education and empowering others to master their own processes.
• Target Audience: The session caters to beginners, intermediate, and advanced traders, acknowledging that mastery takes time and that even experienced professionals can learn new subtleties.
• Critique of "Armchair Quarterbacking": The presenter contrasts the feedback from seasoned hedge fund managers with that of inexperienced individuals who offer unsolicited criticism without understanding the full context of the trading strategy.
• Core Principles: The session emphasizes discipline, consistency, and structure in portfolio management as paramount to long-term success, regardless of the specific trading strategy.

2. Position Sizing and Risk Management Framework

• Importance of Structure: A lack of discipline, consistency, and structure in a portfolio will lead to underperformance compared to those who adhere to these principles.
• Asset Class Level Rules:
  • US Dollar: A recent buy signal was issued for the US dollar. The presenter's personal position is at 6%, with a defined range of 3% minimum to 12% maximum.
  • Long-Short Book (Stocks):
    • Short positions should always be half the size of maximum long positions.
    • Minimum position size for stocks is 1-2%.
    • Minimum position size for ETFs is 2%.
  • Covering Positions: When covering a position, the reduction is typically 50 to 100 basis points, bringing it down to the minimum or near it.
• Personal Risk Tolerance: The presenter, at 50, prioritizes preservation and protection of capital, advocating for a conservative approach. Younger traders (25-30) may choose to take larger risks, but must align position sizes with their emotional capacity to handle market fluctuations.
• Emotional Limits: Recognizing that individuals have different emotional limits is crucial. The presenter acknowledges struggling with this and developed the current parameters as a result.
• Learning from Mistakes: The presenter's current strategies are a result of 25 years of learning from mistakes, with initial parameters set by bosses to limit short positions to 3% of the firm's book.
• Holistic Portfolio View: Real-time alerts are not isolated events but are made within the context of the entirety of the presenter's portfolio, aiming to coach participants through their own portfolio management.

3. Case Studies and Real-Time Alert Examples

• Zyllem (XYL):
  • Details: A long-term winning position, with 100% accuracy in buy signals. It's ranked #4 in the "Signal Strength" product, indicating it's the fourth oldest "inventory" on the list.
  • Context: Added in May after the February-April market crash, when the "street" was selling.
  • Strategy: "Ride winners" by buying dips and selling some on bounces.
  • Misinterpretation: A "sell some" signal does not imply a negative outlook but rather taking profits at the top of a range. A full "sell" signal indicates a stop-out.
• Celsius:
  • Details: A position that ended up being a loser, but the process was considered a good risk-management decision.
  • "Two Dot Rule": Indicates the first buy signal was wrong (part of the 22% error rate).
  • Earnings Catalyst: The signal indicated selling some on the rip before an earnings announcement.
  • Lesson: Understand the "life of a position." Even with a losing day, prior gains from adhering to the process can offset the loss. The process also signaled to derisk the position.
  • Position Sizing: A weakening stock with a two-dot rule and a sell signal ahead of a catalyst should not be a large position.
• Tapestry:
  • Details: A sell signal was issued before a catalyst, which proved accurate.
  • Underlying Model: The signal is based on the PVV model (Price, Volume, Volatility) and its embedded "rocks" (fractal patterns).
  • Rationale: When price breaks down and volume increases into a catalyst, it suggests analysts might be wrong, and the market is anticipating a negative outcome.
  • Focus: Emphasizes risk management of tickers rather than being a stock picker. The Peter Lynch approach of "owning forever" is deemed outdated in modern markets.
• PFIX (Simplified):
  • Details: A sell signal was issued.
  • Context: When the presenter went to zero shorts in Real-Time Alerts (RTA) within a bullish market view, it was a strong signal.
  • Broader Portfolio Context: If the presenter has zero shorts, it implies a generally bullish stance.
  • "Coaching Notes": These are crucial for understanding the rationale behind signals, especially for those who may only see the headline.
• QQQ and QTUM (Quantum):
  • Details: The presenter bought more of these positions, indicating strong conviction.
  • Rationale: These were stronger signal strength positions compared to others like TLT.
  • Information Flow: Real-time alerts are part of a continuous dialogue about the presenter's entire book.
• Treasury Bond Volatility (MOVE Index):
  • Details: The presenter was shorting rate sensitivity in the MOVE index.
  • Sophistication: This is presented as a sophisticated play beyond the understanding of casual observers.
  • Analogy: Compares it to NHL players who are talented scorers but lack the game sense to manage the puck effectively late in a shift.
• Five Below:
  • Details: A "sell some" signal was issued, and the stock subsequently fell.
  • Performance: A 3.71% gain was realized at $160.66. The alternative would have been a loss from that point.
  • Risk Management: The signal identified immediate term trade support being broken and a potential trend breakdown.
  • Strategy: Trading around core positions by buying on dips and selling some on bounces.
  • Position Sizing Example: A position built up to 4% and then reduced to 2% on a bounce.
• Copper:
  • Details: A commodity with higher volatility than equities, allowing for more active trading.
  • Position Sizing: The presenter's maximum position size for commodities is 4%, with a minimum of 1%. The current copper position is 1.5%.
  • Rationale: Even a 5% gain on a $200,000 position (4% of a $5 million PA) yields $10,000, which is significant. The presenter's personal portfolio is larger, allowing for smaller percentage allocations to have substantial impact.
  • Transparency: The presenter emphasizes that their actions are what they do for themselves and their family, with the only potential fault being the assumption that all clients have similarly large personal accounts.
• Simply Good Foods (Simply Terrible Foods):
  • Details: A successful short position.
  • Strategy: Shorting bearish trends that are bouncing on decelerating volume, based on the PVV model.
  • Alpha Generation: A 2.62% gain on a short position, especially when the market is moving up, is considered significant alpha.
• Consumer Staples (XLP):
  • Details: Positions in ETFs like XLP are typically larger (2-3%) than individual stocks, due to lower betas and higher liquidity.
  • Beta Adjustment: Positions are sized relative to ETFs with lower betas.
• Water (Aqua ETF):
  • Details: The presenter is bullish on water and "double dips" by owning both the ETF and a stock within it (Zyllem).
  • Strategy: Full cycle investing at the low end of risk ranges to allow for selling some on bounces. This strategy aims to "stay rich" rather than get rich quickly.
  • Leveraging within Risk Management: Buying both the ETF and a constituent stock is a way to "double up" while staying within risk management parameters.
• HI:
  • Details: A buy signal was issued at $305, and the stock moved to $323-$324.
  • Key Lesson: "Buying during bull market corrections is what you want to be doing." This is part of "cleanup days" where winners are added to and losers are stopped out.
• QQQ (Friday Lows):
  • Details: A signal was issued not to buy QQQ at the lows on Friday because it had already been signaled in previous alerts.
  • Alternative Strategy: Shorting anti-beta ETFs was a profitable strategy during this period.
  • Market Context: The market was in a "chop bucket" (sideways, uncertain), requiring patience and fading rips in protection or anti-beta.
• TLT (Bonds):
  • Details: Incremental buying of TLT was advised at the top end of the range when the 10-year and 30-year yields were high. This added "ballast" to the portfolio.
  • Rotation: The position was rotated out of TLT and into QQQ/QTUM as the move was short-lived (3-4 days).
  • Reducing to Minimum: TLT was reduced to its minimum position.
  • Predictive Action: The presenter expects to buy TLT back when it's down and sell when it's up, even if not explicitly signaled in real-time alerts.
• Healthcare:
  • Details: Identified as the #1 sector to be long. The presenter is long two different exposures within healthcare, both in ETFs and portfolio solutions.
  • Strategy: Buying more on red days and selling some on up days, oscillating between positions with strong signal strength.
• JB Hunt:
  • Details: A relatively new position with strong signal strength.
  • Context: Broke out on earnings, then traded down on decelerating volume.
  • Key Lesson: "Do not focus on the cost basis of anything." Real-time alerts are about adding or subtracting at good spots, not about the presenter's specific cost basis.
  • Analogy: Compares trading to blackjack, where knowing the odds (78% accuracy) means continuing to play even after a loss.
• US Dollar:
  • Details: A "huge one" and a primary driver for making money. The presenter's long-term batting average on the dollar, gold, etc., is strong.
  • Contrarian View: The presenter notes that consensus and most friends are bearish on the dollar and bullish on gold, while they are bullish on both.
  • Quad Analysis: The current market is in a specific "quad" (economic growth/inflation regime), influencing the strategy.
  • Belief in Process: The presenter emphasizes belief in their process over hope.
• Microsoft:
  • Details: A stop-out occurred with a realized loss of -78 basis points.
  • Rationale: A change in volatility and risk range, leading to a lower high for the top end of the range, signaled a "playbook sell all" signal.
  • Humility: The presenter acknowledges not knowing what will happen next and the importance of paying attention when market dynamics change.
  • Signal Clarity: A "sell" signal, as opposed to "sell some," indicates a more definitive action.
  • Impact on Other Positions: The Microsoft breakdown influenced the decision to reduce the QQQ position due to Microsoft's heavy weighting.

4. Conclusion and Takeaways

• Consistency, Discipline, Structure: These are the cornerstones of successful trading and portfolio management.
• Process Over Picks: The emphasis is on understanding and executing a robust process rather than chasing individual stock recommendations.
• Coachability: The ability to learn and adapt from feedback and lessons is crucial for improvement.
• Risk Management is Paramount: Protecting capital and managing downside risk is as important as generating alpha.
• Evolving Strategies: The presenter continuously refines and evolves their process, incorporating new insights and market realities.
• Value of Coaching Notes: Participants are urged to pay close attention to the detailed coaching notes accompanying real-time alerts, as they provide the essential context and rationale.
• Long-Term Perspective: The goal is to "stay rich" through consistent, disciplined trading rather than seeking quick, speculative gains.
• Gratitude and Community: The presenter expresses gratitude for the community and the opportunity to share their knowledge.