Meta Ai analyzes real-time market data and executes risk-adjusted trades without charging a management or performance fee. You keep 100% of every gain the model produces.
Illustrative representation of a predictive signal. Not a performance guarantee.
Traditional discretionary funds charge a management fee regardless of outcome and a performance fee on top of gains. Meta Ai removes both. The model is compensated through a small, disclosed spread embedded at execution, shown before every trade is confirmed.
Eliminate the 1.5%–2.5% annual fee charged by most actively managed crypto funds, win or lose.
Keep 100% of realized gains. Meta Ai does not take a cut of profits generated by the model.
Every trade decision is logged with timestamp and rationale, available for review inside your account.
| Cost Component | Traditional Managed Fund | Meta Ai |
|---|---|---|
| Annual management fee | 1.5% – 2.5% of assets | 0% |
| Performance fee on gains | 15% – 20% of profit | 0% |
| Trade execution | Manual, subject to advisor review | Automated, continuous |
| Minimum account size | Typically high | Entry-level access |
Each position is the output of a defined sequence, not a discretionary call. The steps below describe the logic without requiring a technical background.
Continuous collection of pricing, order-book depth, and volatility data across major crypto markets.
Statistical models identify recurring structures in price movement, momentum, and liquidity.
Every signal is weighted against downside exposure and position-size limits before capital is committed.
Trades are placed automatically within predefined risk limits, without manual override or delay.
Open positions are reassessed on an ongoing basis as market conditions and volatility shift.
Position sizing is capped per asset and per portfolio. Exposure is reduced automatically once volatility exceeds preset thresholds, independent of any single trader's judgment.
The same model is configured differently depending on an investor's objective. The scenarios below describe how allocation logic shifts accordingly.
Allocation weighted toward lower-volatility assets with tighter stop thresholds and reduced position turnover.
Design intent: limit drawdown exposure during volatile periods. No outcome is guaranteed.
Higher allocation toward trend-following signals for investors seeking broader participation in market cycles.
Design intent: capture directional momentum across a diversified set of assets.
A sized allocation intended to complement an existing equity and fixed-income portfolio rather than replace it.
Design intent: introduce a low-correlation component without concentrating risk.
Trade logs are structured and timestamped to simplify annual capital gains reporting. This is not tax advice.
Design intent: reduce administrative friction at filing time, not tax liability itself.
Cautious investors ask specific questions before allocating capital to an automated system. These are the ones we hear most.
Meta Ai is compensated through a small, disclosed spread embedded at the point of execution, rather than a recurring management or performance fee. The spread is shown before every trade is confirmed.
The model includes automated limits that reduce position size or pause trading entirely once volatility exceeds defined thresholds for a given asset.
Client funds are held with regulated third-party custodians. Meta Ai initiates and manages trade execution but does not take direct custody of client assets.
Yes. There are no lock-up periods. Withdrawal requests are processed according to the standard settlement timelines of the underlying exchange.
No. Cryptocurrency markets are volatile and losses are possible. Meta Ai eliminates fees; it does not eliminate market risk.
Open an account and let the model allocate your first position, with zero management or performance fees attached to any trade.
Create Your AccountCryptocurrency investments carry significant risk, including loss of principal. Meta Ai does not provide investment, tax, or legal advice. Past performance of any model is not indicative of future results.