Initialise Portfolio

AI-driven portfolio analysis, initialised in under 60 seconds

Trevox Lantra applies predictive modelling (statistical forecasting based on historical and live market data) to continuously assess crypto market conditions and propose risk-calibrated allocations. Connect an exchange account, select a risk profile, and monitoring begins immediately.

Initialise Portfolio View Methodology

Sample Analysis Feed

BTC / GBPModel: Accumulate
ETH / GBPModel: Hold
Volatility IndexElevated
Latency112ms avg.
Rebalance CheckScheduled

Illustrative output. Figures are not live market data and do not represent actual returns.

Market Context

Why manual decision-making struggles in volatile conditions

Crypto markets move continuously, across time zones, with no closing bell. Manual analysis is constrained by attention span and reaction time; algorithmic analysis is not. The table below sets out the structural differences.

Factor Manual, discretionary trading AI-assisted analysis (Trevox Lantra)
Monitoring coverage Limited to active hours Continuous, 24/7 model evaluation
Data points considered A small, selected set Multiple price, volume and volatility series concurrently
Response to sudden moves Dependent on reaction time Latency-optimised execution (minimal delay between signal and order)
Decision consistency Subject to fatigue and emotional bias Rule-based, repeatable parameters
Risk calibration Set ad hoc, often after losses occur Defined before allocation, adjustable at any time

None of this removes market risk. It changes how consistently that risk is measured and acted upon. Capital remains exposed to price movements at all times, as set out in our risk disclosure below.

Core Engine

How the analysis pipeline works, step by step

The engine is built around five sequential stages. Each stage produces a defined output that feeds into the next, so the process can be audited rather than treated as a black box.

1

Data ingestion

Price, volume and order-book data are pulled from connected exchanges at short, fixed intervals, alongside broader volatility indicators.

2

Feature extraction

Raw data is converted into measurable signals — momentum, volatility bands, liquidity depth — used as inputs for modelling rather than raw price alone.

3

Predictive modelling

A stochastic analysis layer (modelling based on probability rather than fixed outcomes) estimates likely near-term ranges, not guaranteed prices.

4

Risk-adjusted allocation

Model output is weighed against the investor's selected risk parameters before any allocation change is proposed.

5

Latency-optimised execution

Approved actions are routed to the connected exchange with minimal delay, reducing the gap between signal and order placement.

Algorithm transparency summary: the engine uses an ensemble of statistical models rather than a single formula, and every proposed allocation change is logged with the inputs that produced it, so decisions can be reviewed after the fact.

Portfolio Management

Configurable risk parameters and a one-click setup

Rather than a single fixed strategy, allocation behaviour is set through a small number of parameters that the investor controls directly.

Risk profile Max. allocation per asset Rebalancing frequency
Conservative15%Weekly
Balanced25%Every 3 days
Growth40%Daily

Risk parameter controls

Maximum drawdown alertAdjustable
Stop-loss thresholdAdjustable
Volatility tolerance bandAdjustable
Asset exclusion listOptional

Parameters above are illustrative ranges available within the platform and can be changed by the investor at any time.

Real-time insight preview

Before any change is applied, the platform displays a short summary of the proposed adjustment — which asset, which direction, and which parameter triggered it — so the investor can review it before confirming or declining.

Methodology & Risk

Rigour in place of testimonials

We do not rely on client testimonials or performance marketing. Instead, we set out how the models are tested and how your account is protected, so the claims can be assessed on their own terms.

Backtesting logic

Model behaviour is tested against historical market data that was not used to build the model, to reduce the risk of overfitting (where a model appears accurate only because it was tuned to past data). Results from historical testing do not predict future performance.

Security protocol

  • Exchange connections use read-only or trade-only API keys; Trevox Lantra cannot initiate withdrawals.
  • Data in transit and at rest is encrypted.
  • Two-factor authentication is required on account access.
  • Session activity is logged and reviewable by the account holder.
Risk disclosure. Cryptoasset values are volatile and can fall as well as rise. Predictive models estimate probabilities; they do not guarantee outcomes, and past or backtested performance is not a reliable indicator of future results. Capital invested through Trevox Lantra is at risk, and you should only allocate funds you can afford to lose. Trevox Lantra does not custody client assets and does not provide regulated financial advice.
About the Platform

Built for investors who want evidence before action

Trevox Lantra was built on the premise that an AI-assisted decision tool should be inspected, not just trusted. Every allocation suggestion is traceable to the data and parameters that produced it, and the control panel is designed to be read like a terminal: dense, ordered, and without unnecessary decoration.

The platform is intended to sit alongside an investor's own judgement, not replace it. Final confirmation of any allocation change remains with the account holder at every step.

Trevox Lantra data analysis workspace showing portfolio configuration screens
Support

Common technical questions

Does Trevox Lantra hold or custody my cryptoassets?

No. The platform connects to your existing exchange account using API keys that are restricted to reading data and placing trades. It cannot withdraw funds, and your assets remain within your exchange account at all times.

What does the "60-second setup" actually involve?

It refers to the time required to connect an exchange account, select a risk profile and confirm the initial allocation parameters. The underlying model configuration and monitoring begin automatically once these three steps are complete.

Can I change or stop the automated allocation at any time?

Yes. Risk parameters can be edited at any point, and automated rebalancing can be paused from the dashboard without closing existing positions.

What happens during periods of extreme volatility?

The model widens its volatility tolerance bands and may reduce position sizing within the limits you have set. It does not suspend risk — sharp market moves can still result in losses within the chosen risk profile.

Is Trevox Lantra regulated as a financial adviser?

Trevox Lantra provides analytical tools and portfolio automation; it does not provide regulated investment advice. You should seek independent financial guidance if you are uncertain whether cryptoasset exposure is suitable for you.

Technical queries not covered here can be directed to our support team.

Average setup time: under 60 seconds

Set your risk profile and let the model start monitoring today

No lengthy forms and no manual spreadsheet configuration. Connect an exchange account, choose a risk profile, and review your first analysis summary within minutes.

Initialise Portfolio

Onboarding checklist

  • Connect your exchange account using a read-only or trade-only API key.
  • Select a risk profile: Conservative, Balanced or Growth.
  • Confirm allocation parameters and exclusion list, if any.
  • Activate monitoring and review your first insight summary.