AI-powered copy trading for long-term financial security
Kivter Harvik bridges the gap between complex market data and family finances. The platform follows institutional strategies and translates them into understandable, risk-controlled decisions – without you having to analyze the market yourself every day.
The challenge
Most families save through a combination of bank deposits, pensions and individual investments. The problem is rarely a lack of will – it's a lack of time and overview. Market data is updated continuously, and the volume of information makes it difficult to distinguish relevant signals from random noise.
This noise—short-term fluctuations, conflicting news, and emotional reactions from other investors—often leads to decisions that deviate from a long-term plan. The result is that many households either stay away from the market altogether or act reactively when volatility rises.
Kivter Harvik is built to address exactly this: filtering data systematically so that decisions are based on structure and risk management rather than emotion and chance.
This is how it works
The process is divided into three steps, which together form the core of our copy-trading approach. Each step is designed to reduce human bias and ensure that strategies are continuously adjusted in line with market conditions.
The AI model reviews large amounts of market data – including price movements, volume and historical patterns – to identify the strategies that have historically shown stable, risk-adjusted performance.
Your chosen risk level is matched with one or more institutional strategies. The matching takes into account time horizon and tolerance for fluctuations, not just expected returns.
The platform replicates the chosen strategy and adjusts positions in real time as market conditions change. All execution takes place within the risk limits you have approved.
Transparency in data
Each strategy is defined by a risk profile and a certain reaction time to market data. Below is an overview of how the three primary profiles are composed - without hidden parameters.
| Strategy | Risk profile | Reaction time | Primary focus |
|---|---|---|---|
| Conservative Growth | Low volatility | Daily rebalancing | Capital preservation |
| Balanced Insight | Medium volatility | Real-time adjustment | Stable growth over time |
| Growth-focused Analysis | Higher volatility | Real-time adjustment | Long-term return potential |
The risk profile indicates how much a strategy allows the market to fluctuate the positions before the AI model rebalances. A lower tolerance means more frequent, smaller adjustments; a higher tolerance means fewer but potentially larger adjustments. Historical performance is not a guarantee of future performance.
Method
At the heart of Kivter Harvik is a decision optimization engine that works with predictive analytics rather than simple rules or fixed thresholds. The model continuously processes large amounts of data points – price data, volume patterns and historical correlations – to assess the likelihood of various market scenarios.
The purpose is not to predict the market with certainty, which no model can do. The aim is to reduce the mistakes that typically occur when people act out of fear, overconfidence or limited time to analyze. By systematizing the decision-making basis, the platform can react consistently even when market conditions change rapidly.
All adjustments take place within the risk framework you have approved in advance. You thus retain control over how much fluctuation your portfolio can allow.
About the approach
Kivter Harvik is developed for people who are financially conscious but do not have time to monitor the market daily. Many of our users already have some experience with savings and pensions, but find it difficult to assess when and how they should adjust their strategy.
The platform is therefore built to make institutional analysis available in a format that is easy to understand and act upon – without compromising on transparency about how the decisions are made.
Frequently asked questions
Funds allocated to a given strategy are kept separate from the platform's own operations. You can always see which strategy your funds follow and which risk limits have been set for it.
Liquidity depends on the chosen strategy and the underlying markets. Conservative strategies are generally designed for faster access than more growth-oriented strategies, as they typically invest in more liquid assets. We recommend choosing a time horizon that matches your actual need for access to the capital.
The model analyzes historical and current market data to assess risk and likely scenarios. Decisions are made within pre-defined risk frameworks and all adjustments are logged so you can see the background of the changes made to your portfolio.
The platform is designed to make complex decisions more accessible, but we recommend that you familiarize yourself with the basic concepts – including risk profile and time horizon – before choosing a strategy. Our guidance is practical and avoids unnecessary jargon.
Use the same type of analysis that professional investors use, but in a format built for families' long-term finances. You decide yourself the risk level and time horizon before any strategy is activated.
