Equal Weight (EW)
Each of the 100 constituents contributes equally. Rebalanced daily. Best gauge of average stock performance across the AI-neutral growth universe.

Cap Weight (CW)
Weighted by market capitalization with a 10% single-stock cap. Reflects the economic reality where the mega-caps (Lilly, Novo Nordisk, Costco, Hermès) dominate.

Momentum (MW)
Weighted by 63-day price momentum. Stocks with stronger recent performance receive higher weight. Captures trend-following dynamics.

Active Momentum (AM)
Selection overlay: on the first trading day of each month, constituents are ranked by 21-day Sharpe (lagged, no look-ahead); the top 60% are held equal-weight and the laggard 40% are dropped. Currently 60 of 100 names. Rules-based backcast from December 30, 2025.

Base date: January 2, 2025 = 1,000. All prices converted to USD daily (EUR, GBP, CHF, SEK, DKK, NOK, KRW, AUD, CAD). 100 stocks across 12 sectors spanning defense, longevity, destination economy, grid, med devices, nuclear, circular economy, logistics, space, payments, energy transition, and food. Reconstitutions are pro-forma: after a constituent swap the full history is recomputed on the current basket, so past index levels re-print (latest swap 2026-07-03: four names exchanged, Space & Satellite extended to seven incl. Europe). Data updates after US market close (~23:00 UTC). Full methodology →

Analysis Charts

Full charting with indicators, oscillators, and benchmark overlays. Murphy-framework toolset with three views.

Index View

Analysis View (TradingView)

Benchmark Comparison

Sector Indices

Performance Heatmap

Rotation Radar Directional Flow · daily

Flow changes inside HALO Growth 100 — from our daily Directional Flow scan. What is heating up, what is cooling down? Dimensions: sector · region · market-cap · growth tier.

Directional-Flow scan refreshes after each US close.

Sector-level rotation strategic positioning

① Biggest sector shifts

Where the trend strength is changing fastest on the selected timeframe, regardless of direction. Arrow indicates whether momentum is building (↑) or fading (↓). The trend descriptor at the end (Strong uptrend / Flat / Strong downtrend...) names the absolute trend state of the sector — distinct from the change shown by Δ.

② Sector directional trend — sequential time windows

Three non-overlapping windows: this week (last 5d), the 3 weeks before that (days 6–21), the 6 weeks before that (days 22–63). Top 5 heating + top 5 cooling per window. Sectors in multiple Up columns = sustained rotation across all three slices. A sector in just one column = the move is specific to that period. Independent of the timeframe toolbar above — this view always shows all three slices.

This weeklast 5d Prior 3wdays 6–21 Prior 6wdays 22–63 🟢 Up

🔴 Down

By region

By market cap

By growth tier

Single-stock movers tactical positioning

③ Biggest stock shifts

Individual HALO names sorted by |Δ| on the selected timeframe. Top 10, mixed direction. The trend descriptor on the right (Strong uptrend / Mild uptrend / Flat / Mild downtrend / Strong downtrend) names the current 252-day Directional-Flow state with magnitude in parentheses — so you read direction + state in words, not just signed numbers.

④ Stock directional trend — sequential time windows

Three non-overlapping windows: this week (last 5d), the 3 weeks before that (days 6–21), the 6 weeks before that (days 22–63). Top 5 heating + top 5 cooling per window. A name in just the recent column = fresh move; in only the older columns = momentum has already faded out of the immediate window; spanning all three = the trend ran the whole quarter. Independent of the timeframe toolbar above.

This weeklast 5d Prior 3wdays 6–21 Prior 6wdays 22–63 🟢 Up

🔴 Down

How this radar works · how to read it

Directional Flow (DF) is Closelook's proprietary trend-persistence metric — a linearly recency-weighted regression on log(close) over ~252 trading days. The slope, annualised in %, becomes the DF level. Recent bars get higher weight, so the number reflects where the stock is trending now, not where it spent the year. Range typical: −100 to +300.

Δ_N (Δ5, Δ21, Δ63) is the change in DF level over the past N trading days — this week, this month, the past quarter respectively. Positive Δ = trend strengthening. Negative Δ = trend weakening. Because price reacts last, trend strength is coincident, and the change in trend strength leads — Δ surfaces acceleration and fade before the level catches up.

Display 1 — Biggest shifts (panels ① and ③). Names where trend strength is moving fastest on the picked timeframe, regardless of direction. The toolbar selects which Δ_N is used. Each row carries: ticker / name / Δ value / arrow (↑ momentum building, ↓ momentum fading) / the absolute trend descriptor in words (Strong uptrend, Mild downtrend...) so you don't have to mentally decode the level.

Display 2 — Sequential time windows (panels ② and ④). The cumulative Δ5/Δ21/Δ63 are nested windows — Δ63 includes Δ21 includes Δ5 — so a steady uptrend dominates every column. We fix that by showing the matrix in non-overlapping windows: this week (last 5d, the bare Δ5), prior 3 weeks (days 6–21, computed as Δ21 − Δ5), prior 6 weeks (days 22–63, computed as Δ63 − Δ21). Each column now shows a distinct time slice. The toolbar timeframe does not change the matrix — all three slices are always present.

Up in all three columns of the matrix → momentum strengthened during this week AND the 3 weeks before AND the 6 weeks before. A sustained ride. For sectors: strategic allocation candidate. For stocks: high-conviction tactical buy.
Up only in "this week" → fresh acceleration on top of an otherwise quiet quarter. Early signal. Confirm with price before sizing up.
Up in "prior 6w" only, Down or flat elsewhere → the move ran 1–2 months ago and has since faded out of the recent window. Distribution candidate.
Up "this week", Down "prior 6w" → reversal candidate. Could be bottom-fishing or could be a dead-cat bounce — needs context from sector and macro.
Strong uptrend descriptor + negative Δ → trending hard at the absolute level, but decelerating right now. Long warning, trim candidate.
Strong downtrend descriptor + positive Δ → still in net downtrend, but momentum building. Early-recovery candidate.

Granularity. Sector-level is for strategic positioning — which slices of the HALO universe are rotating in or out. Stock-level is for tactical positioning — which individual names to enter or exit. Region / Market Cap / Growth Tier are auxiliary cuts of the same flow data, useful for geographic / size / growth-archetype tilts.

Full methodology →

Constituents

Ticker ↕	Name	30D	Sector	Price	1D	1M	3M	Mom	RBR	Tags

Custom Index Builder

Combine metadata filters to assemble your own sub-index. The engine recalculates weights and performance client-side in real time.

Region

Cap Size

Trend

RBR Archetype

Momentum

Filtered Index

1,000.00

YTD

—

Stocks

Weighting

Community Predictions — AI & Semis

Open forecasting questions for AI infrastructure and semiconductors. View all →