Most multi-asset funds simply hold a fixed mix of equity and debt.
This one claims its algorithm decides, every single week, when to pull money out of the market and when to put it back in. Is that genuinely useful, or just another algorithm story with an impressive backtest?
In this conversation, Bhautik Ambani, CEO of AlphaGrep Mutual Fund, joins us to explain how the AlphaGrep Multi Asset Allocation Fund actually works.
@AlphaGrepMutualFund
We dig into how the model decides between equity, debt, and commodities, what happens when its own internal signals disagree with each other, and why the fund chose to launch with a dynamic asset allocation strategy instead of a plain equity fund. Bhautik also discusses how the model behaved during past market shocks, what kinds of market conditions this approach might struggle with, and who should and shouldn't consider investing in it. We also ask him the uncomfortable question every quant fund eventually has to answer: what happens if the backtest doesn't hold up in the real world?
⚠️ Educational content only. Not financial advice. Investments carry market risks. Consult a certified advisor before investing.
TIMESTAMPS:
00:00 - Introduction
00:40 - From Algo Trading to Mutual Funds
02:43 - Why Start With a Multi-Asset Fund
04:47 - What happens when the model cuts equity exposure
07:19 - Inside the Weekly Rebalancing Process
08:21 - Spotting a Real Crisis vs Market Noise
10:46 - What the Model Did During the 2020 Crash
12:29 - When the Three Models Disagree
14:50 - Can This Backtest Be Trusted
17:46 - When Does This Strategy Underperform
19:44 - Can Humans Override the Model
21:07 - Why Add Silver, Copper, and Crude
22:37 - How This Fund Is Taxed
24:20 - When Would They Call the Model a Failure
26:25 - Who Should Avoid This Fund
27:34 - Measuring Success a Decade From Now
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