Lødeafkast converts large amounts of market data into risk-weighted recommendations. The platform is built for students who want a low-risk entry into crypto without having to interpret technical indicators themselves.
The crypto market reacts quickly to news, sentiment and liquidity fluctuations. For many new investors, it leads to decisions based on emotion rather than data — buying on hype and selling on panic.
Lødeafkast uses predictive models to identify patterns in historical and current rate data. The purpose is not to predict the future with certainty, but to remove human bias from the decision-making process and provide an objective starting point.
All recommendations are scored by risk, so you can assess whether a signal fits your time horizon and your capacity to bear losses.
| Indicator | Value | Interpretation |
|---|---|---|
| RSI (14) | 38.2 | Approaching oversold level |
| Moving average (50/200) | Crossing upwards | Potentially bullish signal |
| Sentiment score | 0.61 | Neutral to moderately positive |
The process is designed to be transparent. You can follow which data is included and how the model converts it into a concrete assessment.
The system retrieves price data, trading volume and liquidity information from several market sources in real time, supplemented by news and sentiment data.
The model compares current patterns with historical trends to assess likely scenarios, based on statistical correlation rather than assumptions.
Each signal is assigned a risk score that indicates expected volatility and recommended position size in relation to the portfolio's total exposure.
Every signal the platform generates is logged with timestamp and result. The log cannot be edited backwards, making it possible to assess the model's history without taking our word for it.
| Date | Signal type | Active | Risk score | Result |
|---|---|---|---|---|
| 03.11.2024 | Momentum signal | ETH/USD | Low | +3.8% |
| 14.11.2024 | Reversal signal | BTC/USD | Medium | -1.2% |
| 29.11.2024 | Sentiment Deviation | SOL/USD | Low | +2.4% |
| 09.12.2024 | Volume anomaly | ETH/USD | Medium | +1.1% |
Local verification. The log is automatically updated with each closed signal and can be accessed by all users. Data is stored without the possibility of subsequent editing, so the history remains intact, regardless of whether the result is positive or negative.
Signals are never delivered without context. You can always see the underlying indicators and why they were weighted the way they were.
Measures the strength of a price movement over a given period of time and is used to identify whether an asset is oversold or oversold.
Smoothes out short-term fluctuations to show the underlying trend, and is used to identify shifts in momentum.
Assesses the tone of news and public debate around an asset, as a supplement to the purely price-based indicators.
We try to answer without exaggerating what the model can and cannot do.
All signals are associated with market risk and the model does not remove the possibility of loss. The risk score is designed to help you assess how much of your capital can reasonably be allocated to a given signal, based on historical volatility of that asset.
The model draws on publicly available market data, including price, volume and liquidity, as well as aggregated news and sentiment sources. All sources are continuously updated to keep the analysis up-to-date.
Yes. The risk scoring is precisely designed for smaller portfolios, where it is crucial to avoid large fluctuations. You decide yourself how much capital is allocated per signal and the log allows you to track results before increasing exposure.
Lødeafkast is built around a public performance log that all users can access and evaluate. Entry is free and you can follow the signals at your own pace before allocating capital.
Create free account Read more about the methodology in the FAQ