What is cryptocurrency?
A plain-language explanation of what cryptocurrency is and is not, why it can hold value, and which risks matter most when you are just getting started.
How does blockchain work?
A step-by-step look at the path from sending a transaction to confirming it, the logic of validation and consensus, and the real trade-offs decentralisation brings.
Web2 vs Web3
Comparing the identity, data, and control differences between the experience centralised platforms provide and a model where the user directly controls assets and identity.
Crypto wallets, private keys, seed phrases and custody
Clarifying what a wallet actually stores, how a private key relates to a seed phrase, what custody choices exist, and the security mistakes people make most often.
Stablecoins, smart contracts and Layer 2
Explaining stablecoin designs, what smart contracts can and cannot do, and what Layer 2 scaling solves — along with the new dependencies it introduces.
Spot, futures and leverage
Explaining the difference between buying spot, futures contracts, and leverage; how leverage relates to liquidation; and when not to use leverage, with a worked example.
What is Forex or FX?
Explaining the anatomy of currency pairs, base/quote logic, pips and spreads, how FX differs from crypto, and why trading sessions matter.
What is a prop firm and how does a challenge work?
Explaining the stages of a prop-firm evaluation, the typical rules, how drawdown limits work, and the realistic risks — without promising you will pass.
Risk management: position sizing, leverage, liquidation, and drawdown
Covering how to size a position with a numeric example, the maths of recovering from drawdown, invalid assumptions, and a pre-trade risk checklist.
What is technical analysis?
A critical look at what technical analysis is, how observation differs from interpretation, the categories of tools, and its biggest trap — confirmation bias.
Price action: trend, support, and resistance
Covering trend, support, and resistance with a schematic example, the logic of invalidation, the false-breakout trap, and the bridge from observation to a rule.
Moving averages, RSI, and MACD
A critical look at what the three most-used indicators measure, the risks of lag and misuse, a combined-signal example, and the myth of a “best indicator.”
Turning a trading idea into explicit strategy rules
Showing the steps to turn a vague “idea” into a deterministic, testable rule with every parameter completed — using a transformation table and a worked example.
What is backtesting, how is it done, and what does it not prove?
Explaining the steps of a backtest, the assumptions it rests on, typical traps like lookahead and overfitting, and what the results do and do not prove.
Paper trading, overfitting, win rate, and interpreting results
Covering forward validation with a validation ladder, metrics with a comparison matrix, typical failure examples, and a readiness checklist for going live.