Crypto Charts — Reading Market Data Honestly

Direct answer

Crypto charts display OHLC data — Open, High, Low, Close — for fixed time intervals, built by aggregating individual trades into buckets. OHLCV adds volume. That compression is the entire value of a chart and the entire source of its ability to mislead: two candles can look identical while one summarises 3,000 trades and the other four.

Start here

The thing most chart guides leave out

A candle summarises every trade in an interval into five numbers. Consider two one-hour candles that render identically — open 100, high 105, low 98, close 103:

• Candle A — 3,000 trades, price moving continuously through the range.
• Candle B — 4 trades: one at 100, one at 105, one at 98, one at 103.

Your chart draws them the same way. But A describes a functioning market and B describes four transactions, possibly between two people, on a book with no depth.

This is why thinly traded tokens produce charts full of convincing technical patterns that mean nothing. There is no pattern — there are a few trades and your eye connecting them.

CoinDock's candles carry trades_count and is_closed alongside OHLCV, so you can tell A from B and know whether an interval has finished. Most charting interfaces show neither. Both are available through the public API without an account.

Where we are honest about the evidence

Charting content usually implies far more predictive power than the evidence supports. Our position:

Well supported. A chart accurately describes what traded. A long wick genuinely means price went there and came back — a fact, not an interpretation.

Weakly supported. That patterns, levels, or indicators reliably predict what happens next. Published results range from marginal edges to none, and are highly sensitive to market, timeframe, and the exact rules used. Nothing reproduces robustly out of sample.

CoinDock publishes no signals, no forecasts, and no pattern success rates. We have not run that research, and repeating someone else's uncited figure would be worse than saying nothing.

Where you see a specific win rate quoted anywhere, ask: what market, what timeframe, what definition, what period, and out of sample?

What a chart can never tell you

• The path inside a candle. Four prices, not the order they occurred in.
• Whether size was available. A price on the chart does not mean you could have traded meaningfully at it.
• How many people traded. One participant or a thousand.
• What happens next.

For the first two, the order book answers what the chart cannot — see how to read market depth.

CoinDock's market data

Candles are built from trades matched on CoinDock, at 1m, 5m, 15m, 30m, 1h, 4h, 1d, 1w.

Each carries open, high, low, close, base and quote volume, trade count, and a closed flag. Publicly available, no account required.

Guides in this pillar

Concepts

• OHLC Charts Explained
• Candlestick Chart Guide
• Crypto Volume Explained
• Support and Resistance
• Reading Token Price Action

How-to

• How to Read a Candlestick
• How to Spot Support and Resistance
• How to Use Volume on Charts
• How to Read an OHLC Bar
• How to Use Different Chart Timeframes

Questions

• Charting FAQ · Candlestick FAQ · Volume FAQ · Indicators FAQ · Market History

Related pillars

• Liquidity — the order book behind the chart.
• DEX — how AMM pricing differs.
• Listings — why new pairs produce strange charts.

Educational content. Not financial or trading advice. CoinDock publishes no signals or forecasts. Historical performance does not indicate future results.