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.

Every time a buyer and a seller meet, a trade is printed. Traders call the running list of trades the tape. Each trade has a size and a side: chartreuse when the buyer crossed the spread, lavender when the seller did.

Press play to watch a minute of trades. Volume is all the sizes added up.

Trade count is how many trades went through in a window. It tells you how busy the market is, whatever the size of each trade.

Count and volume often move together, but not always. Switch between them: some minutes have a rush of small trades, others a handful of big ones. Tap a bar to see that minute.

Average trade size is the volume divided by the number of trades. The same $2M can come from 4,000 small orders or from 20 big ones.

Many small trades usually mean lots of people clicking buy and sell. A few big ones usually mean larger players. Pick a mix and compare.

Largest trade is the single biggest print in the window. One $400,000 order among thousands of $3,000 trades stands out even when the average barely moves.

Change the window. A longer window reaches further back, so it can catch an older, bigger print.

Compare the average trade size with its own recent average. A common condition is average trade size 5m at or above 2× its average: trades suddenly twice their usual size, often a sign that bigger players stepped in.

It doesn't say which side they're on. Here it catches two moments, one before a climb and one before a drop. Move the multiple and see what changes.

These are three hours of trade counts, one bar per minute. The condition is trade count 1m at or above N× its average, with the average taken over the previous 20 minutes.

Pick a multiple and replay. Under the chart, the same condition runs on the live feed.

Three quick questions, then a bot to build.

Read the strategy and set up a bot that follows it, with the direction and the conditions it names and no others. The strategy also uses the price change from the first lesson. Passing depends on the build alone. Once it's right, the bot fires and you see what the market did next, which won't always go your way.