On-Chain Analysis and Trading Strategies

3 Musketeer Setups for On-Chain Trading

  • Overview of three common setups for on-chain analysis, using Fart coin as the primary example.

Setup 1: The 69% to 80% Correction

  • Description: Focuses on buying coins after a significant price correction.
  • Specifics:
    • Looks for corrections in the 69% to 80% range.
    • Wicks can extend corrections to 85%, but price shouldn't linger there.
    • The 70%-80% correction zone is considered the "golden pocket zone" for buying opportunities.
  • Example: On the Fart coin daily chart, an 89% correction was observed from high to close, excluding wicks. Including wicks, it was a 94% correction.
  • Significance: Corrections of this magnitude are common in on-chain trading and offer a substantial edge.
  • Contrasting with Traditional Markets: Ranges and fixed range volume profiles are less effective in on-chain markets due to the dominance of emotions.

The Role of Emotion and Psychology

  • On-Chain Dynamics: Heavily influenced by emotions, psychology, and attention dynamics.
  • Reasons for Sell-offs: Often driven by:
    1. Emotional traders taking profits.
    2. Psychological burnout.
    3. Desire to regain control.
  • Liquidity Impact: Unlike exchanges, on-chain markets have low liquidity.
    • If key players exit, it creates a domino effect, as there aren't enough participants to hold charts.
  • Conviction Levels: Lower on on-chain coins compared to exchange-listed coins.
    • Leads to explosive rallies when liquidity is chased.
  • Domino Effect: When major holders sell, others follow without considering project fundamentals or news.
  • Attention Dynamics: Boredom can also trigger sell-offs.
  • Whale Influence: Top 20% of holders control major transactions.
    • Their decisions determine if coins rally or not.
  • Navigating the Environment: On-chain trading is highly player-versus-player (PVP) with low liquidity.

Whale Control

  • Impact of Whale Actions: Whales control upside and downside movements.
  • Absorption of Buys: If whales sell into buying pressure from FOMO-driven buyers, they absorb the buys, preventing significant upward movement.
  • Delicate Conditions: On-chain coins require many factors to align for significant gains (e.g., 20-60x returns).
  • Trading Timeframes: Generally shorter (20-40 days) compared to exchange-listed coins, where swing trades can last months.
  • Flipping Mentality: Most traders aim to quickly flip coins, creating a PVP environment.
  • Correction Frequency: 80-85% corrections are common and expected due to the emotional and psychological factors at play.

Strategy: Longing Undiluted Winners

  • Focus: Identify coins with limited dilution potential.
  • Approach: Wait for a 70-80% correction, buy the correction, and navigate the trade.
  • Size Deployment: Deploy larger positions during corrections (e.g., 10-15% of portfolio).
  • Comparison: More profitable than taking smaller positions early and aiming for larger multiples.

Examples

  • AIXPT: Demonstrated a similar pattern with over 80% correction.
  • ICM: Traded this coin, buying around 1150 and selling for a 4-5x profit on 4% of the portfolio.
  • Asset Selection: Success depends on strong asset selection skills and understanding narratives and information cascades.

Setup 2: Trends on 4-hour or 12-hour Charts

  • Indicators: Use 21 and 34 EMAs (Exponential Moving Averages) to identify trends.
  • Effectiveness: These trends act as significant areas for bids and asks.
  • Example: On the 12-hour Fart coin chart, a cross and retest at 34 EMA provided a confirmation.
  • Integration with Other Setups: Combines with swing band, spot band, and perp cloud from exchanges.
  • Compounding Gains: Each retest of the trend is an opportunity to compound gains.
  • Trend Loss: If the trend is lost, cut the trade.

Trend Psychology on On-Chain Markets

  • Momentum Bidding: Traders bid on momentum.
  • Whale Control: Whales control momentum and which coins rally.
  • Trend Lines as Momentum Indicators: Perfect for identifying momentum zones.

Setup 3: Anchored VWAP (Volume Weighted Average Price)

  • Dependence on Volume: VWAP works well because it's volume-dependent.
  • Usage: Apply anchored VWAP to the chart.
  • Example: VWAP on Fart coin indicates the next best bid is around $1.
  • VWAP as Support and Resistance: VWAP can act as resistance and support.
  • Reclaiming Levels: If VWAP is lost, wait for a reclaim.
  • Three-Line VWAP: Upper VWAP acts as resistance, lower VWAP as support.
  • Fart coin: 60 cents is expected to be a strong bounce area (50% correction).

Combining Setups

  • Integration: Use 80% correction rule with trends.
  • Validation: Buy at 85% correction; If the price closes below this level on the 12-hour chart, it's an invalidation.
  • Example: Fart coin example:
    • Mark the 85% correction level (e.g., 32 cents).
    • Wait for the price to trade there.
    • Look for trend confirmation.
    • Enter on a 50-60% retrace of a strong breakout candle.
    • Ensure the 85% level is reclaimed.
  • AIXPT Example:
    • Mark 85% correction level (12.69).
    • Wait for reaction at this level.
    • Look for trend confirmation.
    • Enter on chart candle retrace.
    • Monitor if the resistance is cleared or if a deviation occurs.
  • AV0P Example:
    • Use VWAP if trends are lost.
    • High VWAP acts as resistance.
    • Wait for reclaim if the price goes below VWAP levels.

Duration and Inconsistency

*Trades and Round Trips are heavily influenced by swings.

  • Developed this approach when I personally round tripped a lot.

  • Key Insights:

    • Accept that you will be early or late.

    • Mentally separate intraday on chain and swing trades by:
      -Creating different balances and transfer easily between those

    • Avoid switching what you have

What is Duration and Inconsistency

  • Definition of Duration: The period of time since new information is released.

  • Definition of Inconsistency: Fluctuations, emotional impulses, or variations in the market.

  • Explanation: As duration increases and more time passes:

    • Pricing in tends to occur more.

    • Variations tend to decay.

      *