Lecture Notes: How Time Cycles Influence Market Swings

Introduction

• Time Cycles: Understanding how time cycles can influence market swings and frame high-probability trade setups.
• Examples: All examples presented occurred in the past week.
• Liquidity Pools: A new perspective on liquidity and time-based liquidity pools.

Key Concepts

Market Swings

• Market swings are not random; they are programmed and engineered.
• Common belief debunked: Markets can be timed contrary to popular belief.

Interbank Price Delivery Algorithm (IPDA)

• IPDA: Delivers price efficiently, focusing on time-based liquidity pools.
• Structure provided by algorithmic reference points within current time cycles, referencing past cycles.

High Probability Trade Setups

• Combine specific time cycles and price action signatures for precision.

Time Cycles in Trading

• Bullish Example: Market opens, drops lower, targets previous cycle high.
• Bearish Example: Market opens, rises higher, targets previous cycle low.
• Fractal Nature: Occurs across different time frames (e.g., daily, minute charts).

Cycles and Delivery

• Each time cycle influences the next.
• Daily Delivery: Asia, London, New York sessions determine subsequent session deliveries.
  • Asia: 6:00 p.m. to 2:30 a.m.
  • London: 2:30 a.m. to 7:00 a.m.
  • New York: 7:00 a.m. to 4:00 p.m. (divided into morning and afternoon sessions)

Sessions and Cycles

• London Sessions: Example of price action and cycle delivery.
• 90 Minute Cycles: Used to identify key highs and lows.
• 30 Minute Cycles: Further breakdown of cycles for detailed analysis.

Examples and Application

• Morning Session Example: Analyzing cycles for buy/sell setups.
• Afternoon Session Example: Understanding engineered sell-side liquidity and buy-side liquidity.
• Power Hour: Final hour of trading, special focus on delivery.

Conclusion

• Importance of understanding time-based equity pools.
• Encouragement to explore inter-market relationships and continue investigating time cycles.
• Reminder: This lecture is an introduction; further exploration is encouraged.

Final Thoughts

• Investigate the validity of time cycles and their potential to provide predictive insights into market behaviors.
• Invitation to explore additional resources and lectures for further learning and mastery of time cycles in trading.