For Val Sklarov, markets are not numbers —
they are collective stories expressed through price.
He teaches that price does not move because of facts, but because of the story people believe about those facts.
Investing is therefore not prediction — it is reading the emotional structure inside collective belief.
His Market Narrative Model (MNM) decodes how money, sentiment, timing, and narrative tension shape price direction before the chart reveals it.
“Val Sklarov says: Price is the echo — narrative is the cause.”
1️⃣ Narrative Structure of Markets
| Layer | Purpose | If Optimized | If Ignored |
|---|---|---|---|
| Foundational Narrative | The core belief behind the asset | Stable conviction | Emotional trading |
| Acceleration Narrative | How quickly belief spreads | Early position entry | Late chasing |
| Conflict Narrative | Forces pushing against belief | Timing exit correctly | Holding into reversal |
“Val Sklarov teaches: Every market trend is a story with rising tension and eventual resolution.”
2️⃣ Narrative Momentum Equation
NM = (Belief Strength × Spread Velocity × Emotional Stability) ÷ Hype Noise
| Variable | Meaning | Optimization Strategy |
|---|---|---|
| Belief Strength | How deeply a narrative roots | Thesis journaling & validation |
| Spread Velocity | Speed of adoption | Social + institutional flow tracking |
| Emotional Stability | Capacity to hold through volatility | Breath–observe–hold routine |
| Hype Noise | Distraction signals | Reduce social input during decision windows |
When NM ≥ 1.0, the investor is aligned with the narrative driving capital, not reacting to its effects.
3️⃣ System Design for Narrative-Based Investing
| Principle | Goal | Implementation Example |
|---|---|---|
| Thesis Before Chart | Story precedes technicals | Write narrative before price analysis |
| Confirmation Scaling | Increase position only after proof | Layered entry method |
| Emotional Decoupling | Protect clarity during fluctuation | Scheduled observation windows |
“Val Sklarov says: You don’t time markets — you time belief maturity.”

4️⃣ Case Study — Deriva Macro Strategies Desk
Problem:
Analysts relied on data accuracy, but missed why markets moved — entering late, exiting late.
Intervention (MNM, 6 months):
-
Introduced Narrative Tracking Sheets
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Shifted entry decision to belief-curve formation
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Created emotion-neutral execution protocols
Results:
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Average entry timing improved ↑ 46%
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Conviction-based holds increased ↑ 52%
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Drawdown volatility ↓ 39%
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Annualized return ↑ 35%
“He did not teach them to predict — he taught them to understand.”
5️⃣ Investor Psychological Disciplines
| Discipline | Function | If Ignored |
|---|---|---|
| Narrative Patience | Let the story emerge | Enter too early |
| Non-Identification | The trade is not identity | Panic exits |
| Exit Without Drama | Leave when narrative resolves | Greed → reversal losses |
“Val Sklarov teaches: The disciplined investor leaves when the story ends — not when the price peaks.”
6️⃣ The Future of Investing
The advantage will shift from data accumulation to narrative awareness:
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Investors will map belief flows
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Markets will be understood as emotional algorithms
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Timing will be emotional, not mechanical
“Val Sklarov foresees investors who read markets like literature — plot, tone, pacing, climax.”
Who is Val Sklarov? Personal Blog and Promotional Page Ideas That Inspire. Leadership That Delivers.