No results found.

Whitepaper

Sharemaestro

A Market-Agnostic Research System for Clearer Decisions, Faster Conviction, and Better Risk Control

Start reading ~ reading time

Executive summary

Investors drown in indicators and opinions. Sharemaestro takes the opposite approach: a focused, proprietary toolkit that turns complexity into a handful of readable, decision-ready views. Each chart isolates an essential market dimension - demand, strength, momentum, cycle position, smart-money behaviour, and thresholds - then combines them into a coherent framework.

This whitepaper shows why Sharemaestro is different from standard technical analysis and why it matters to both institutions and retail investors. We explain the intent of each component, how to read it, how it connects to the system, and how to use it - without disclosing proprietary mechanics.

In brief: See what matters. Act earlier with confidence. Control risk at the right time. Stay objective.

1) Design philosophy

Principle

Market-agnostic: Works in rising and falling markets. Buy low / sell high and its bear-side equivalent are both first-class citizens.

Principle

Explainable: Proprietary underpinnings, but every element is legible and committee-ready.

Principle

Weekly cadence: Noise reduction. Emphasis on structure over randomness.

Principle

Risk first: Smart Money gating by cycle; Demand Threshold Line (DTL) for exit/short discipline.

2) The engine behind the glass (without the recipe)

A machine-learned momentum engine, trained across multi-million observations and regimes, underpins Sharemaestro. From it - and companion modules - come a robust Momentum Signal, Average Momentum, Accumulation/Distribution, Strength, and the derived Demand Threshold Line. We do not expose inputs or architecture; we provide stable, interpretable output.

3) The charts, signals, and the decisions they enable

Market Dynamics - the big-picture compass

Bars portray the core read; a baseline anchors balance; top and bottom guides frame typical extremes; a raw overlay and close price keep the view grounded. Bars near/through the top guide signal stretched conditions (sell/short zone). Bars near/through the bottom guide signal compression (buy zone). Across a ~3-year cycle, the extreme-to-extreme pattern recurs with notable regularity - ripe for long-horizon compounding.

Smart Money - footprints of sophisticated participation

Accumulation markers (green; black when intensity rises), Smart Money Buy (blue star, model-qualified significance), Investor Buy (black star, momentum qualified), Model Watching (black dashed), Average Momentum (blue dotted), Momentum (green), close (grey), and a static DTL that acts as a warning of overheating. Target: reach/breach the DTL for disciplined exits. Crucially, Smart Money Buy appears only in red Market Cycle - a deliberate risk bias.

Demand Threshold - when warning becomes urgency

The same DTL value is scaled here. When price bars breach it, urgency replaces warning. Tops can be fast or grind; either way, ignoring the breach is costly. The DTL is a proprietary Sharemaestro construct - you will not find this line elsewhere.

Smart Money: DTL = warning. Demand Threshold: DTL = exit/short urgency.

Dynamic Momentum - the original snapshot

Momentum line (green), average trend (blue dotted), accumulation (green triangles), distribution (red triangles), and an optional static DTL (when criteria qualify). It’s not a buy-signal chart; it’s a fast context read and often the first clue before decisive phases develop elsewhere.

Momentum Cycle - deviation traders can work with

Weekly deviation of momentum from its average, plotted around zero with top/bottom guides. Buy near bottom zones when context aligns, sell/trim near top zones, and track bottom rotations or top fades. It explains where momentum sits in its own history - context for the live momentum line.

Market Demand - the engine vs. the result

Demand (left axis) with price (right axis) on the same canvas: the cause next to the effect. Building demand with lagging price often precedes major advances - especially in commodities. Watch the zero crossover and the −1 level as a practical “turning on” threshold when demand is rebuilding.

Market Strength - beyond RSI’s 30/70 convention

A proprietary, symmetric strength read around zero with typical extremes and price on a secondary axis. Agreement with Market Demand (both rising) is potent; divergence (price high, demand weak, strength negative/fading) is a trap detector.

Market Cycle - context and crossovers

Red/green bars around a baseline with typical extremes. Crossovers from deep red to green often precede considerable moves. Smart Money Buy appears only in red - baked-in caution and value bias.

4) From charts to decisions: playbooks that scale

Playbook A

Early campaign (long): Cycle red stabilising → Demand rebuilding with price near/through −1 → Dynamic Momentum accumulation → Smart Money Buy → Investor Buy → ride Market Dynamics → exit near DTL.

Playbook B

Late campaign (trim/short): Demand fading while price high → Strength decays → Distribution at high momentum → Demand Threshold breach (scaled DTL) = act → Dynamics near top guide confirms.

Playbooks C & D

Commodity accumulation: Demand rebuilds while price lags; Momentum Cycle rotates up; Strength flips positive; stage entries; respect DTL later.

Crossover surveillance: Cycle red→green from deep lows; Momentum Cycle thrusts; Demand crosses zero; Smart Money confirms; Dynamics clears baseline.

5) Institutional workflows: from research to portfolio

  • Screening: rank universes by Demand divergence, Strength improvement, Momentum Cycle rotations, Cycle crossovers.
  • Signal stacking: composite entry score from independent agreements; throttle by DTL proximity.
  • Risk overlays: portfolio-level de-risk when Distribution appears at high momentum or DTL breaches.
  • Attribution: visually explainable decisions and post-trade reviews using the same charts.

6) Retail workflows: a weekly routine that compounds

Monday (30–45m): scan Market Dynamics extremes; Demand crossovers; −1 price crosses on building demand; Momentum Cycle bottom rotations; Dynamic Momentum accumulation clusters.
Mid-week (15m): confirm Strength; plan trims near DTL.
Friday (30m): update playbook checklist; set alerts; journal rationale with screenshots.

7) Why Sharemaestro differs from standard TA

Dimension Standard Technical Analysis Sharemaestro
Demand Implied via price/volume Explicit two-axis Demand vs. Price on one canvas
Strength Crowded RSI 30/70 Proprietary symmetric strength scale around zero
Momentum Oscillators with fixed bands Machine-learned Momentum + Momentum Cycle deviation
Exits Subjective “it’s hot” Demand Threshold Line: warning (static), urgency (scaled)
Risk Gating Often pro-cyclical Smart Money Buy appears only in red cycle
System Design Indicator soup Interlocking charts that agree/disagree decisively

8) Case studies & repeatable patterns

UNH - warning vs. act

Smart Money flagged overheating (static DTL). Market Demand/Strength waned. Demand Threshold (scaled DTL) reframed the moment as exit/short urgency. Acting on the DTL avoided regret.

Mid-cap tech reset - accumulation when no one cares

Dynamic Momentum accumulation at low momentum; Momentum Cycle bottom rotation; Demand crosses zero; Smart Money & Investor Buy confirm; ride Market Dynamics; pre-plan DTL exit.

Commodities - demand leads, price follows

Demand rebuilds while price drifts; Strength flips positive; Momentum Cycle rotates up; stage entries; patience; later respect DTL.

9) Risk management: enforced discipline

  • DTL: converts “it’s hot” into explicit exit/short zones; urgency on Demand Threshold.
  • Distribution at high momentum: tighten stops, trim, or exit.
  • Cycle gating: Smart Money Buy only in red cycles.
  • Divergence checks: price high & demand negative; strength decaying → caution.
  • Rule of threes: demand ↑, strength ↑, momentum ↑ = higher probability; fewer than two agreeing = caution.

10) Implementation guide

  1. Define universe (benchmarks, sectors, custom lists).
  2. Create dashboards: Dynamics, Demand, Strength, Momentum Cycle, Smart Money, Demand Threshold.
  3. Adopt weekly cadence (frame → confirm → plan).
  4. Use the playbooks; adapt thresholds to risk policy.
  5. Alert on DTL breaches, Demand crossovers, Cycle crossovers, Distribution clusters.
  6. Pre-plan trims near Smart Money DTL; act on Demand Threshold breaches.
  7. Monthly review: what aligned, what was ignored, why.

11) Frequently asked questions

Is Sharemaestro a black box?

Calculations are proprietary; interpretation is explicit. Every element is committee-ready, in plain language.

Can I day-trade with it?

It’s not designed for intraday scalping. The edge is weekly context, campaign structure, and discipline at extremes.

What makes the DTL trustworthy?

Market extremes rhyme. The DTL operationalises that reality into a repeatable exit/short discipline - warning on Smart Money, urgency on Demand Threshold.

How does it complement fundamentals?

It helps with when and how much: staging entries, sequencing adds, and timing exits with cross-validated signals.

12) Glossary (operational, non-mechanical)

Accumulation: measured buying in value zones; intensity can increase (black markers).

Distribution: quiet selling into strength; caution near high momentum or DTL proximity.

DTL: Demand Threshold Line; warning on Smart Money (static), urgency on Demand Threshold (scaled).

Momentum Signal / Average Momentum: model output and long-horizon reference.

Momentum Cycle: deviation of momentum from its average (weekly bars around zero).

Market Demand: demand bars vs. price on twin axes; zero crossover and −1 level matter.

Market Strength: proprietary symmetric read around zero (alternative to RSI bands).

Market Cycle: red/green bars indicating cycle state; crossovers from deep lows matter.

13) Conclusion

Sharemaestro compresses the market’s essential forces into a small set of independent, mutually reinforcing views. You see demand build or fade against price; strength confirm or contradict; momentum’s energy and position in history; the cycle turning; and a proprietary threshold that ends campaigns with discipline. It’s not indicator soup; it’s a coherent system favouring patience over prediction, discipline over hope, and process over personality - scalable for institutions, practical for retail.

Educational content only. Not investment advice. Markets involve risk; capital is at risk.