#1505 Alpha Score 26.6

Victor Haghani

Professor of Finance, Fordham University
· tracked since Apr 2026
1505
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Alpha Score 26.6
Calls
6
Win Rate
33.3%
return
-1.5%
Calls 6 4 Posts tracked · 0.0/day
Calls
7d 0
30d 0
90d 3
Win Rate 33% Long 6 Short 0
Win Rate
7d 50%
30d 38%
90d 33%
Average Return -1.5% Long Return -1.5% Short Return -
Average Return
7d -0.1%
30d -0.8%
90d -1.1%
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Result
Result
Sort
Theme Stance
Ticker
Side
Mentions
First Call
Call Price
P&L
Thesis
Theme
Source
Long
Aug 09
$29.69
-0.9%
Dynamic allocation ETF improves on static indexing.
The ELM ETF (ticker ELM) offers a low-cost, rules-based dynamic asset allocation strategy that adjusts exposure to equity markets based on long-term expected returns (using CAPE) and a trailing momentum risk proxy. This approach aims to improve risk-adjusted outcomes compared with a static index allocation, without resorting to short-term market timing. The total expense ratio is only about 0.24%.
Thematic ETFs
Long
Aug 09
$91.48
+0.1%
High real yields make TIPS attractive.
With the low equity risk premium currently on offer, it makes sense to increase the allocation to safe assets. TIPS real yields have moved from -1% to 2.5%, providing attractive guaranteed real returns. Elm’s portfolios are therefore overweight fixed income, mostly in Treasury bills and TIPS, as a prudent response to the compressed reward for equity risk.
Bonds & Rates
Long
Aug 04
$314.63
-1.6%
Momentum anomaly persists; limited capital chasing it.
Momentum investing has been persistently profitable because it is driven by extrapolators (return chasers) whose behavior creates trends, and the capital allocated to pure momentum strategies remains limited relative to the size of the market. This prevents momentum from being arbitraged away, making it a robust anomaly.
Equity Indexes
Showing 3 of 6 calls · sorted by mentions

Victor Haghani has 6 trade ideas tracked on Buzzberg across 6 tickers since April 2026. Ranked #1505 on the Buzzberg Alpha leaderboard. Most covered: VXUS, TIP, ELM.

Historical call returns are modeled from recorded ideas and stored prices, not actual brokerage portfolio returns. Check the evaluated call set and horizon; past results do not establish future prediction accuracy. Explore our data and methodology