Trade Crypto With Structured Data
LyganAF analyses 500+ trading pairs in real time and applies predictive modelling to flag volatility and support entry decisions, built for students balancing tight budgets with limited time to watch the markets.
Sample layout for illustration. Signals reflect the type of output the model generates, not live market data.
Crypto Noise Clouds Good Decisions
Crypto markets run around the clock, across hundreds of assets, with prices reacting to global news within minutes. Between lectures, part-time work, and exam periods, few students have the hours to track this properly. Acting on headlines or social media chatter alone tends to add risk rather than reduce it.
Predictive Modelling Adds Structure
LyganAF processes price action, volume, and volatility patterns across more than 500 trading pairs, converting them into plain-language risk flags and positioning notes. The aim is not to predict the future with certainty, but to replace guesswork with a consistent, repeatable process.
- Cross-pair correlation analysis to spot concentration risk
- Volatility flags before you commit capital
- Position sizing guidance based on your risk tolerance
- Transparent reasoning behind every signal
Breadth Without the Guesswork
Wide coverage means fewer blind spots. LyganAF tracks major and mid-tier pairs so a shift in one corner of the market does not go unnoticed.
How the Model Reaches a View
No black boxes. Every output can be traced back to a step you can understand, even without a background in data science.
Data Ingestion
Price, volume, and order-book data are pulled from exchanges across 500+ pairs on a rolling basis.
Pattern Analysis
The model compares current behaviour against historical patterns to detect early signs of volatility.
Risk Scoring
Each pair receives a risk classification, weighted by liquidity, momentum, and recent price swings.
Position Guidance
Findings are translated into plain positioning notes: hold, watch, or reduce exposure.
Risk mitigation sits at the centre of the model. LyganAF is built to help you avoid oversized bets on a single asset, not to chase outsized gains. No signal removes risk entirely, and markets can move against any model's expectations.
Where the Analysis Fits In
Spreading Risk Across Pairs
Student portfolios are often small, which makes concentration risk more damaging. LyganAF highlights when several holdings move together, so a single market shock does not affect the whole portfolio at once.
Timing Without the Guesswork
Rather than reacting to a price spike, the model flags periods of relative stability within a pair's recent range, giving a more measured window to consider an entry.
Notified When It Matters
Alerts trigger on meaningful shifts in volatility or risk score, not on every price tick, so you are not checking your phone between lectures for no reason.
Built for Careful, Curious Investors
LyganAF was built with South African students in mind: limited capital, limited time, and a reasonable amount of scepticism about crypto hype. The platform focuses on process over prediction, giving you a consistent framework to weigh decisions rather than a promise of easy profit.
The underlying model is reviewed and refined against market behaviour on an ongoing basis, and every output is designed to be explainable, so you understand the reasoning behind a signal before acting on it.
Questions Students Usually Ask
Do I need a large amount of capital to start?
No. LyganAF's analysis works the same way regardless of position size. Many students start with small, ZAR-denominated amounts while they get comfortable with how the signals behave.
Is crypto investing still risky if I use LyganAF?
Yes. Crypto assets remain volatile by nature. LyganAF is designed to reduce uninformed risk-taking through data and structure, not to eliminate market risk.
Does LyganAF guarantee any level of return?
No. LyganAF does not promise or guarantee returns of any kind. Outputs are analytical guidance intended to inform your own decisions, not financial advice.
How is my information used?
Account and usage data are used only to operate the platform and improve the accuracy of the model. Details on data handling are available on request through our contact page.
Can I use LyganAF alongside my existing exchange account?
Yes. LyganAF is an analysis layer, not an exchange. You continue to hold and trade assets through your existing exchange of choice.
LyganAF provides data-driven analysis for informational purposes only. This is not financial advice, and past patterns are not a reliable indicator of future performance. Cryptocurrency investing carries a meaningful risk of capital loss; only invest what you can afford to lose, and consider your own financial circumstances before acting on any signal.
Start Building a Data-Backed Approach
Get a clearer view of how 500+ trading pairs behave before you commit capital, with no obligation to trade on any single signal.