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Learn about crypto

You start with what a cryptocurrency is and how Bitcoin works, then move on to market numbers like price, volume, indicators and funding. The lessons are short and every step has something you can move. You don't need to have bought crypto before.

Glossary

45 metrics and 70 terms, one sentence each.

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Crypto from scratch

From what a cryptocurrency is to how the market works: Bitcoin, the other coins, DeFi and web3, exchanges and scams.

  1. 01 · 8 steps

    Bitcoin and the blockchain

    What a cryptocurrency is, who created Bitcoin, how the blockchain keeps the record of payments, and why nobody can rewrite that record on their own.

    Start lesson

  2. 02 · 8 steps

    Kinds of crypto

    Thousands of coins came after Bitcoin. This lesson covers where they came from, how they move with bitcoin, why a low price doesn't mean cheap, and what stablecoins and memecoins are for.

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  3. 03 · 8 steps

    Beyond coins: DeFi, web3 and other uses

    Blockchains also run programs. This lesson covers smart contracts, borrowing and trading without a bank, the idea behind web3, NFTs, recording documents, and airdrops.

    Start lesson

  4. 04 · 7 steps

    The crypto market

    Why crypto became an investment, how to buy a slice of a bitcoin, how to read a pair like BTCUSDT, where your coins are kept, and the most common scams. At the end, a bot's first rule.

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Basics

Where a price comes from and how much is being traded.

  1. 01 · 7 steps

    Price, candles and % change

    You'll see where a price comes from and how a candle sums up 15 minutes of trading. The last steps show why bots measure moves in percent.

    Start lesson

  2. 02 · 7 steps

    Volume and relative volume

    Volume is how much was traded. This lesson shows why a move carries more weight when many people trade it, and how a bot decides what counts as a lot.

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  3. 03 · 7 steps

    Highs, lows and breakouts

    Where the last candle and the last day topped out, how bots spot a close beyond those levels, and why a breakout needs volume behind it.

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Indicators

Numbers worked out from recent prices, which a bot can compare with a threshold.

  1. 01 · 7 steps

    RSI: overbought and oversold

    RSI turns the last 14 candles into a number from 0 to 100. You'll work it out by hand and see why a low reading doesn't mean the fall is over.

    Start lesson

  2. 02 · 7 steps

    Moving averages: SMA, EMA and VWAP

    Averages smooth out the noise so the trend is easier to see. You'll compare three kinds and see why they always run a little behind the price.

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  3. 03 · 7 steps

    MACD: momentum from two averages

    MACD turns the gap between two moving averages into a line you can read. You'll build it one piece at a time and see what its crosses tell you and what they leave out.

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  4. 04 · 7 steps

    Volatility: ATR and realized volatility

    Volatility is how much the price swings, whatever direction it ends up going. You'll measure it two ways and use it to tell a quiet market from a wild one.

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  5. 05 · 7 steps

    Bollinger Bands: price against its own range

    Bollinger Bands draw an envelope around the price that widens when it swings and narrows when it's quiet. You'll see how they're built and what closes outside them, squeezes and band width can tell you.

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Order flow

The orders waiting in the book and the trades that go through.

  1. 01 · 7 steps

    Order book: spread, depth and imbalance

    The order book is the list of buy and sell orders waiting at each price. You'll see how a trade eats through it, why the spread matters, and what depth and imbalance measure.

    Start lesson

  2. 02 · 7 steps

    Trades: count, size and the biggest print

    Every trade on Binance has a size and a side. You'll count them, measure how big they are and see what changes when big traders show up.

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Derivatives

Perpetuals and futures add numbers that spot doesn't have: open interest, funding, premium and liquidations.

  1. 01 · 7 steps

    Spot, perpetuals and futures

    BTC trades in more than one market. This lesson starts with buying the coin itself and moves on to contracts that let you bet on a fall or trade bigger than your money.

    Start lesson

  2. 02 · 7 steps

    Open interest

    Open interest counts the contracts that are still open. You'll see how it grows and shrinks, how it differs from volume, and what it can suggest next to the price.

    Start lesson

  3. 03 · 8 steps

    Funding rate

    Funding is a small payment between longs and shorts that keeps a perpetual close to spot. You'll work out who pays and how much, then read what a very high rate can suggest.

    Start lesson

  4. 04 · 7 steps

    Mark, index and last price

    A perpetual has three prices at any moment. You'll see where each one comes from and which one exchanges use to decide liquidations.

    Start lesson

  5. 05 · 7 steps

    Premium and basis

    Derivatives rarely trade at exactly the spot price. This lesson measures the gap for perpetuals and dated futures, and shows how to compare futures that expire on different dates.

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  6. 06 · 7 steps

    Liquidations

    A liquidation is a leveraged position closed by the exchange because its margin ran out. You'll see where that line sits, why liquidations can feed on each other, and how bots count them.

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Using Okkana

Setting up what Okkana sends and receives: webhooks, the API and the MCP server.

  1. 01 · 6 steps

    The site

    A tour of the Okkana pages: the overview, the markets, how a bot's market is chosen, the metric catalogue, where Signals show up, and what the profile and the lessons hold.

    Start lesson

  2. 02 · 7 steps

    Building a bot

    How to build a bot: choose the market, set conditions with a metric, a timeframe and a threshold, combine them, pick a direction, avoid repeated signals, add exit levels and manage the bot afterwards.

    Start lesson

  3. 03 · 7 steps

    Signals and operations

    What a Signal is and how Okkana keeps measuring it after the alert, how a take profit and a stop loss close its virtual position, and how you record what you actually did in an operation.

    Start lesson

  4. 04 · 6 steps

    Exporting your data

    How to download the signals report: where it is, the period and which signals it covers, the bot's result next to yours, and how to read and open the file.

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  5. 05 · 6 steps

    Webhooks

    How to have Okkana send each Signal to your own server or automation: registering the URL, what arrives, how to check it came from Okkana and what happens when your server is down.

    Start lesson

  6. 06 · 7 steps

    API keys

    How to let your own scripts and tools read your bots and signals, and manage bots, without logging in: creating a key, what each scope allows, the exact request, the limits and how to keep the key safe.

    Start lesson

  7. 07 · 7 steps

    MCP

    How an AI assistant can build and manage your bots and read your signals through Okkana's MCP server: connecting it, the keys and scopes, the tools, and how to keep it safe.

    Start lesson

These lessons explain what each number measures. They are not trading advice, and the lesson charts use simulated data. Preview build: market data on this site is simulated.