Unit 2 of 10 · Beginner

Who is on the other side

In one read

Every trade has two sides, and the other side is always someone with a reason. Four rough groups fill the book. Market makers quote both bid and ask and earn the spread; they want flow and balance, not a direction. Institutions move size and often must trade — a fund rebalancing, a hedge being set — so their why is a mandate, not a view. Retail traders move small and discretionary, in and out by choice. Algorithms execute rules at machine speed, from spread-capture to liquidation. Knowing this reframes a fill: someone took the other side, and whether they were forced, indifferent, or eager is information about the move. A seller who must sell into a crash is not the same signal as one who chose to. This unit reads a stressed generic session for who was likely on each side, then hands you that session to recompute yourself.

Who is on the other side

Every trade has two sides. When you buy, someone sold to you — and they had a reason. The market is not a weather system; it is a crowd of participants, each optimizing for something different. Four rough groups fill most of the book:

  • Market makers quote both a bid and an ask and earn the spread. They want flow and a balanced inventory, not a direction.
  • Institutions move size and often must trade — a fund rebalancing, a hedge being put on. Their reason is a mandate, not a forecast.
  • Retail traders move small and by choice, in and out on their own read.
  • Algorithms execute rules at machine speed, from spread-capture to forced liquidation.

Why it matters: "someone took the other side" is information. A seller who must sell — a margin call, a mandated de-risk — is a different signal than one who chose to. The same red candle means different things depending on who printed it.

A worked example

Take a stressed generic broad-ETF session — call the instrument GENCO — during a sharp decline.

Early, the sellers look forced: heavy volume, price gapping lower, the shape of inventory being dumped regardless of level — that is often institutions and liquidating algos, not opinion. Market makers keep quoting, but they widen their spread to protect themselves as the two-way risk rises. Later, as the fall slows, buyers step in who chose the level — the character of the tape changes from forced to discretionary. Nothing labels each participant on the chart, but the way volume and range behave tells you which kind of hand was likely on the other side.

See it in kestrel

You can read the character of a real, recorded stress session instead of guessing at it:

npx kestrel.markets sim s-p-500-etf-pandemic-volatility-crash

That runs a deterministic simulation over a generic broad-ETF session with a genuine forced-selling stretch — managed licensed data, no wall time, no signup, no card — and prints a certified proof URL. Point the CLI back at the proof and it recomputes the whole record on your own machine, byte for byte:

npx kestrel.markets certify https://kestrel.markets/proof/art_66d7dda7f0466f69c123463c

Keep it one command away: drop the kestrel.markets MCP server into your client and the next session you want to read is already wired up — no account in between.

Recompute it

Every claim in this unit recomputes from a certified proof — no account, no card.

/proof/art_66d7dda7f0466f69c123463c
Keep readingPrice moves, volume confirms