Original, plain-English education on crypto-asset analysis. No tips, no urgency, no affiliate links — just the concepts you need to read the data without fooling yourself.
A losing week for the virtual engine, reported as one: 25 closed trades, a 45.8% win rate, and a real pattern in the data — losers held 2.5x longer than winners.
BTC's weekly close broke below a line that's marked the floor of every major bear market since 2015, as an oil-driven inflation scare hit risk assets. Here's what the level does, and doesn't, tell you.
A losing week for the virtual engine, reported as one: 24 closed trades, a 34.8% win rate, and $-240.49 total P&L.
Bitcoin dominance is sitting near 60% in May 2026 while the Altcoin Season Index reads 35. Here is what institutional flows, on-chain data, and historical cycle structure actually tell us.
Every major Bitcoin bear market since 2011, measured by depth, duration, and time to recovery. The data is more consistent — and more brutal — than most people expect.
A plain-English walkthrough of how an educational signal score is composed, and the limits of what any score can tell you.
Neural networks in crypto analysis learn patterns from thousands of price, volume, and on-chain data points. This article breaks down how they work — and what they genuinely cannot do.
Bollinger Bands measure volatility, not direction. Widening and squeezing bands tell you something real — but not what most traders think.
Selling is harder than buying: you're trading a certain gain for the chance of a bigger one. Frameworks that remove the decision from the moment of maximum emotion.
A derivative lets you trade an asset's price without owning it. That flexibility is also where most of the risk in crypto trading actually lives.
Modern portfolio theory assumes uncorrelated assets. Most altcoins move together, especially when it matters — so the 15th position rarely buys the safety it promises.
Depositing into a liquidity pool isn't the same as holding the underlying assets. The gap between the two has a name, a formula, and a habit of surprising people.
A backtest can make almost any strategy look profitable. Here are the five biases that inflate results, and how to test for them properly.
Grid bots ladder orders across a price range and profit from oscillation; DCA bots buy on a schedule regardless of price. Each fails in a different market.
When you hold coins on an exchange, the exchange holds them and owes you a claim. If it fails, you're an unsecured creditor, not an owner.
Support and resistance are price zones, not exact lines — and understanding why they form, and why they fail, matters more than memorizing them.
Stablecoins hold a fiat-pegged value using three different backing models, each with its own failure mode when confidence breaks.
The chart shows one number. The order book shows what's actually available to buy or sell at each price — and why your fill rarely matches the last trade.
When price makes a higher high but RSI makes a lower high, the rally is losing momentum faster than it appears. This divergence appeared at the 2018, 2021 BTC tops and most altcoin cycle peaks. Here's how to read it.
Crypto trading fees look small. Spread costs, funding rates, slippage, and tax drag add up to 1–3% annually for active traders. Run that number through a compound growth calculator and the result is surprising.
ETH has outperformed BTC on raw returns in every complete bull market cycle. It has also drawn down harder, recovered more slowly, and produced higher volatility. Here's the full picture.
Exchange outflows, long-term holder supply, and UTXO age bands leave a consistent fingerprint at every major Bitcoin bottom. Here's what the on-chain data looked like before each recovery.
A single large sell order doesn't cause a 30% crash. Leverage does. Here's the exact mechanism — from initial price drop to cascade end — and why it happens faster in crypto than anywhere else.
Bitcoin dominance measures Bitcoin market cap as a percentage of total crypto market cap. Traders watch it to time altcoin rotations. This article explains how to read BTC.D, what it actually signals, and where the indicator breaks down.
Rebalancing a crypto portfolio sounds straightforward — sell winners, buy laggards. In practice it triggers tax events and can reduce returns during strong trends. This guide covers the mechanics and when rebalancing genuinely helps.
The Fear & Greed Index is one of the most-cited sentiment indicators in crypto. This article explains exactly what data goes into it, what the number means in practice, and when it is actually useful.
Moving averages are among the most used indicators in crypto technical analysis. This guide explains how SMA and EMA differ mathematically, why the difference matters in volatile markets, and how traders combine them.
Ethereum moved to Proof of Stake in 2022. This guide explains how staking actually works, what validators do, and what annualised yields you can realistically expect — including the risks.
The pattern is obvious in hindsight. Living through it is less clean. What actually defines a real altcoin rotation versus a false start — and why the signal shows up after the first 30% of the move.
On-chain data is transparent and unforgeable. Reading it correctly is harder than it looks. Exchange net flow has a significant false positive rate — here's how to account for it.
In normal markets, different coins behave differently. In a real panic, correlations collapse toward 1. Why diversifying within crypto doesn't protect you the way you might expect.
Why long-duration rule-based holding is mostly about behavior, not prediction — and what monthly DCA changes.
Dollar-cost averaging works in the charts people show you. Here's what those charts omit: selection bias, timing sensitivity, and the behavioral gap between strategy and execution.
How perpetual swap funding rates work, what they reveal about market positioning, and why negative funding isn't the automatic buy signal it's often treated as.
A postmortem on the patterns behind bad signals — regime change, factor correlation, validator overfitting, and stale social data.
Every four years Bitcoin's block reward is cut in half. Here's the actual mechanism, the historical pattern, and why the next cycle might behave differently.
Active addresses, exchange flows, and supply distribution explained — with the common pitfalls each metric hides.
Most attention goes to when to buy. Far less goes to how much to buy. Position sizing determines whether a good strategy survives or ruins you.
Market capitalisation is the first number people cite when comparing cryptocurrencies. Here's what it actually measures — and where it routinely misleads.
A short, honest case for why backtest curves should make you more skeptical, not more confident.
Stop losses are basic risk management. Crypto makes them genuinely difficult to implement well. Here's why — and what to do about it.
A coin can look bullish on the daily chart and bearish on the weekly at the same time. Understanding timeframe alignment — and conflict — changes how you read signals.
Two of the most over-used indicators in crypto trading, explained without the hype — what the math says and where both go wrong.
Volume is the second number on every price chart. It's also one of the most manipulated statistics in crypto. Here's how to read it honestly.
Dollar-cost averaging feels safer than going all-in at once. The data says lump sum wins more often. Here's why both answers are correct depending on what you're optimising for.
Market depth, bid-ask spreads, and order book structure — why the most important risk factor in crypto is the one most retail traders never check.
Bitcoin is volatile. Everyone knows that. But what does volatility actually measure, how is it calculated, and how should it change your decisions?
Social media activity moves crypto prices. Building a reliable sentiment signal from that noise requires more than counting positive tweets. Here's what goes into it.
Tax rules for crypto vary significantly across European countries — but several principles apply broadly. Here's what typically triggers a taxable event and how the 12-month rule works.