KAMA Cycle V2.0 – A Quantitative Framework for Identifying Market Reversals with Triple Confirmation

After 5+ years of development and backtesting across multiple asset classes, I want to share the core structure of my proprietary trading framework: the KAMA Cycle V2.0.

This is not a "magic indicator." It is a systematic approach to reading market structure, momentum, and confirmation. It is the result of thousands of hours of testing on Bitcoin, Gold, S&P 500, and forex pairs.

I am sharing this to contribute to the trading community and to invite constructive feedback from other quantitative and structural traders.

The Core Problem with Most Trading Approaches

Most traders buy when an indicator says "oversold" and sell when it says "overbought."

Then they get stopped out. Repeatedly.

Why? Because they use indicators in isolation. They see a single number and click the button, ignoring the broader context of momentum and structure.

My approach is different. I combine three layers of confirmation before considering any trade:

2. Extreme Deviation (Fast and Slow KAMA)
4. Momentum Divergence (Adaptive Momentum Histogram – AMH)
6. Confirmation Divergence (Stochastic Oscillator)

When all three align, the probability of a reversal becomes statistically significant.

What Is the KAMA Cycle? (And What It Is Not)

Let me be clear: this is NOT the classic Kaufman KAMA used with crossovers.

My system uses Fast KAMA and Slow KAMA as accumulation deviations – not as trend-following lines that cross each other.

• Fast KAMA captures short-term momentum.
• Slow KAMA captures long-term structural drift.

When either deviation exceeds ±25% on an asset, it signals an extreme territory – historically a high-probability reversal zone.

No crossover. No lagging signal. Just a measurable deviation from the structural mean.

Real Data – Bitcoin Monthly Backtest (2011–2026)

Here is the performance of the deviation signal on Bitcoin's monthly chart:

YearDeviation LevelFollow-up Rally2011-37%+1,800%2015-23% / -28%+900%2018-27% / -28%+400%2022-25% / -26%+100%+

The same logic applies consistently to Gold, the S&P 500, and individual stocks by adjusting deviation thresholds to each asset's historical volatility.

However – deviation alone is not enough.

Why Deviation Alone Is Not a Complete Signal

Extreme deviation tells you that an asset is oversold or overbought.

What it does not tell you is whether momentum is improving or deteriorating.

A market can remain oversold for a long time. A market can remain overbought for a long time. Without measuring momentum, you are just guessing the bottom or the top.

This is where divergence analysis becomes essential. Divergence filters false signals and keeps you out of structural traps.

Layer 2 – AMH Divergence (Momentum Confirmation)

AMH (Adaptive Momentum Histogram) measures the acceleration and deceleration of price movement.

• Bullish Divergence: Price makes a Lower Low, but AMH makes a Higher Low.
  → Momentum is improving despite falling price.
• Bearish Divergence: Price makes a Higher High, but AMH makes a Lower High.
  → Momentum is deteriorating despite rising price.

This is the first warning that the trend is losing its internal strength.

Layer 3 – Stochastic Divergence (Confirmation)

The Stochastic oscillator provides an additional layer of confirmation.

• Bullish Divergence: Price makes a Lower Low, but Stochastic makes a Higher Low.
• Bearish Divergence: Price makes a Higher High, but Stochastic makes a Lower High.

When Stochastic confirms the AMH divergence, the signal moves from "interesting" to statistically significant.

The Triple Confirmation Framework – My Entry Criteria

AMH DivergenceStochastic DivergenceAction✅ Bullish✅ BullishHigh Probability Buy✅ Bearish✅ BearishHigh Probability Sell✅ Bullish❌ NeutralWeak – Wait for confirmation❌ Neutral✅ BullishWeak – Wait for confirmation

I only take trades when both divergences are aligned with the deviation reading.

Practical Example 1 – Bitcoin Bottom 2022 ($15,500)

• Deviation: -25% / -26% (extreme oversold)
• AMH: Higher Low (bullish divergence)
• Stochastic: Higher Low (bullish divergence)

Triple Confirmation → Buy Signal

Result: Bitcoin rallied +100% in the following months.

Practical Example 2 – Bitcoin Top 2024 ($73,000)

• Deviation: +30% / +32% (extreme overbought)
• AMH: Lower High (bearish divergence)
• Stochastic: Lower High (bearish divergence)

Triple Confirmation → Sell Signal

Result: Bitcoin corrected -20% in the following months.

My Process in Real Trading

2. Identify extreme deviation on the higher timeframe (Daily/Weekly/Monthly).
4. Check AMH divergence for a momentum shift.
6. Confirm with Stochastic divergence for additional validation.
8. Enter with a tight stop-loss below/above the structural level.
10. Exit when deviation normalizes back to equilibrium or when the structure breaks.

Why This Framework Works

• Objective – No subjective pattern drawing. No guessing.
• Multi-Asset – Works on Forex, Crypto, Stocks, and Commodities.
• Self-Correcting – Divergences filter out false signals that pure indicators would generate.
• Statistically Backed – Tested on 7+ years of data across multiple assets.

The Trader's Lesson

There is no magic indicator.

But there is structure, momentum, and confirmation.

If you build a system that combines all three – deviation, momentum divergence, and stochastic confirmation – you stop gambling on prices and start trading with a repeatable statistical edge.

Final Thoughts

I am always open to discussing structure, cycles, and quantitative methods with other traders. If you have questions, disagree with any part of this framework, or want to share your own experience, I welcome the conversation.

Trade smart. Stay disciplined.