SP500 Breakaway Index

Calibrated default: · Compare strategy vs SPY from selected date
Runs:

Full-Window Calibrated Metrics

Selected-Window Metrics (from Index Date)

Top Weights (Top 15)

TickerCompanyWeightRankScoreMarket Cap

Position Sizing (Top 15)

TickerCompanyWeightTarget ValueLast PriceEst. Shares

Drift Monitor

TickerCompanyTarget WCurrent W (model)Drift

Methodology

The SP500 Breakaway Index evaluates S&P 500 constituents through multiple signal families, then applies one of three weighting schemes. Variants are designed to stress-test robustness across alternative construction choices.

Signal Families

Signals combine trend and momentum persistence characteristics, price efficiency, and breakout context. The goal is to reward names with sustained, stable upside behavior and penalize unstable moves.

Variant Definitions (V1..V4)

V1: Trend Quality family focused on smooth trend persistence.

V2: Momentum + Efficiency family balancing continuation and path quality.

V3: Trend Persistence family with stronger consistency emphasis.

V4: Breakout Strength family emphasizing leadership on acceleration.

Weighting Definitions (W1..W3)

W1: Market-cap proportional weighting.

W2: Score-tilted weighting, increasing emphasis on signal rank.

W3: Capped market-cap weighting to limit concentration while retaining size awareness.

Why V2_W3 Was Selected

V2_W3 was chosen as the default because it provides a pragmatic balance: robust momentum-efficiency signal quality (V2) with concentration control (W3), producing strong risk-adjusted behavior without excessive single-name dependency.

How to implement this strategy in a broker app (e.g., Trade Republic)

Goal: replicate the current portfolio weights of the selected strategy variant and rebalance monthly.

Step-by-step

1) Pick your mode: Use Track for monitoring only, and Rebuild + Recalculate when you want a fresh implementation point from a chosen index date.

2) Open Top Weights: choose the latest rebalance date. This table is your implementation list (Ticker + Company + Weight).

3) Choose capital: decide total deployable amount (for example €10,000).

4) Convert weights to euros: amount per stock = total capital × weight.

5) Enter orders in broker: buy each stock according to target euro allocation (fractional shares if available).

6) Keep a cash buffer: reserve ~1–2% for rounding, spreads, and fees.

7) Rebalance monthly: at each new rebalance date, compare current vs target weights and trade only differences.

Execution notes for Trade Republic-style apps

- Some names may be unavailable on your venue; if so, skip or replace with closest sector/large-cap proxy and note tracking error.

- If fractional trading is limited, prioritize top weights first and then fill remaining cash proportionally.

- Use limit orders for less liquid names to avoid slippage.

Risk controls (recommended)

- Max single position: 10% (aligned with capped mode concept).

- Max sector concentration: set a practical cap (e.g., 30–35%).

- Rebalance threshold: only trade if weight drift exceeds e.g. ±0.75% to reduce costs.

Important

This is a systematic model implementation guide, not investment advice. Validate tax, fee, and product-availability impacts in your jurisdiction.

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