Name-Level Control
Each position is managed on its own signal.
A machine learning strategy that manages each mega-cap position independently through tokenized US equities.
Requires xStocks access and enough capital to hold multiple positions.
A cap-weighted S&P 500 position is dominated by its largest holdings. Those companies drive most of the index return and most of its drawdown. Holding the index means accepting that concentration without managing it.
This strategy takes the concentration deliberately and manages each name on its own signal. One company weakening does not force the whole basket out.
Own the drivers of index return directly.
Manage each position on its own model signal.
Reduce exposure name by name, not all at once.
Rebalance by rule as leadership rotates.
Accept higher volatility with an explicit risk process.
Ten positions is a concentrated portfolio. Expect larger swings than a broad index strategy. This strategy suits investors who understand and accept single-name risk.
S&P Top 10 Strategy against a passive equal-weight basket.
Basket composition is reviewed periodically and may change.
| Metric | S&P Top 10 Strategy | Buy & Hold Equal Weight |
|---|---|---|
| CAGR | ||
| Total return | ||
| Added return | — | |
| Maximum drawdown | ||
| Volatility |
Scroll horizontally to see all columns.
Backtest period: .
Results are backtested, net of assumed trading costs, and calculated on historical data. Hypothetical performance does not represent actual trading and carries the benefit of hindsight. Full assumptions are documented in each report.
Each company has its own model. Every model reads market data continuously and sets exposure for that name alone. Portfolio weight is capped by rule so no single position dominates.
No discretionary trading.
No emotional decisions.
No guessing.
Each position is managed on its own signal.
Ten positions without ten whole-share purchases.
Access outside traditional exchange sessions.
Ownership settles on-chain, verifiably.
Weights adjust by rule as leadership changes.
Issued and traded through a regulated exchange.
xStocks products carry their own rules. Availability varies by country and EU residents may need to pass Kraken's appropriateness assessment before trading. Review Kraken's documentation before subscribing.
NeuroTraderLab never holds client funds.
Your capital remains in your own verified Kraken account.
The connection places trades. It cannot withdraw funds.
Disconnect or cancel and the signals simply stop.
No management fee. No performance fee. No lock-up.
Exchange trading fees and Cryptohopper platform fees are charged separately by those providers.
The knowledge base walks through the full setup, from account to automation.
The ten largest S&P 500 constituents available as xStocks. The list is reviewed periodically.
The basket is reviewed on a defined schedule and adjusted by rule.
Yes. Ten positions are more concentrated than a broad index tracker.
Enough to hold ten positions meaningfully after trading costs. More than a single-asset strategy.
No. Assets stay in your Kraken account.
Ten independent models generate more trades than a single-asset strategy. Costs are higher.
No. The strategy is investment software.
No. Backtests are hypothetical and carry hindsight bias.
Concentrated mega-cap exposure with a rule set behind every position.
NeuroTraderLab provides investment software, not investment advice. Trading involves risk, including the loss of capital. Backtested and hypothetical performance has inherent limitations: results are calculated with hindsight, do not represent actual trading, and do not account for all costs or market conditions. Past performance does not guarantee future results. Tokenized assets may not be available in all jurisdictions. You are responsible for your own financial decisions and for assessing suitability before investing.
Read the full Risk Disclosure