Neuro Vector Factor ETF
Rotate between the top performing factor ETFs
Risk Level: Very High
Min Investment: ₹10000
30 Days Return:
90 Days Return:
365 Days Return:
Annualised Return:
Strategy Specifications
| Strategy Inception Date | Jan. 1, 2017 |
| Min Investment | ₹10000 |
| Strategy Type | Standalone Strategy |
| Asset Classes | Equity |
| Universes | Large Caps Multi-caps |
| Investment Styles | Factor Investing Momentum |
| Markets | US |
| Instruments | ETFs |
| Rebalancing Frequency | Weekly |
| Volatility | Very High |
Strategy Description
Orchestrated by a factor-aware agent leveraging dynamic signal decomposition in non-linear return space: A 100% equity-exposed, high-β strategy executing dynamic reallocation across factor ETFs (e.g., value, momentum, quality) based on performance gradients. Portfolio updates are governed by a softmax selection policy within a multi-armed bandit framework, with rolling Sharpe-adjusted signals driving weekly rebalancing. Designed for aggressive agents optimizing for short-horizon alpha under regime variability.
Asset Allocation
Strategy Selection
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Discalaimers
Historical simulations or live model portfolio performance is provided for informational purposes only to indicate historical performance had Flameback Strategies been available to investors.