Learn value area high - low concepts
WHAT is a Value Area?
WHY 70%? It comes from statistics. In a roughly bell-shaped distribution, one standard deviation () captures ~68.27% of the data. Market Profile (developed by Peter Steidlmayer at the CBOT) rounded this to a clean 70% to define "where value was accepted." But be careful: this is only a loose analogy. VAH/VAL are not literally ±1σ distances from the mean of the volume distribution — they are the contiguous 70% quantile band grown outward from the mode (POC). On a skewed profile that quantile band and a true ±1σ interval can differ a lot.
HOW to build it from scratch (derivation)
You are handed a volume profile: for each price level you know the volume traded there.
Step 1 — Total & target. Why this step? We need to know what "70% of volume" actually equals in shares/contracts before we can grow the band to reach it.
Step 2 — Find the POC (the seed). Why this step? The Value Area is defined to be centered on the most-accepted price, so we start the band as a single price = POC and expand from there. Starting from the biggest bar guarantees the densest region is included.
Step 3 — Expand outward, greedily. Look at the single immediate level above your current band and the single immediate level below it. Compare just those two adjacent volumes and add whichever side is fuller. Repeat, accumulating volume: Why this step? Greedily taking the higher-volume adjacent level keeps the band as dense as possible for each price of width added — the truest picture of "value." (Note: classic Market Profile using TPO counts compares the sum of the two rows just beyond each edge; the modern volume-profile convention compares only the single immediate level on each side — that is the rule we use here.)
Step 4 — Stop. Stop when .
- The highest price included = VAH.
- The lowest price included = VAL.

Worked Example 1 — build the VA by hand
Volume profile (price : volume):
| Price | Volume |
|---|---|
| 105 | 5 |
| 104 | 15 |
| 103 | 40 ← POC |
| 102 | 25 |
| 101 | 10 |
| 100 | 5 |
, so .
- Start: POC = 103 (vol 40). . Why? POC is the seed; 103 has the max volume.
- Compare the single neighbor on each side: above = 104 (15), below = 102 (25). Below is fuller → add 102. . Why? Greedy: grab the denser adjacent level first.
- Band is now [102,103]. Single neighbors: above = 104 (15), below = 101 (10). Above is fuller → add 104. . Stop. Why? We crossed the 70% target the moment we added 104.
- VAL = 102, VAH = 104. (POC = 103.)
So value lived between 102 and 104 today.
Worked Example 2 — trading interpretation
Suppose yesterday's VAH = 104, VAL = 102, POC = 103. Today opens at 101 (below value).
- Price rallies back to 102 (VAL). Why watch this? VAL was the lower edge of accepted value; returning to it is a test of whether buyers reclaim value.
- Price pushes through 103 (POC) on strong volume → high odds it travels to the other edge, VAH = 104. This is the classic "80% rule": if price opens outside value but trades back inside and accepts (≈2 time-periods), there's ~80% chance it fills to the opposite VA edge. Why? Once value is re-accepted, the market tends to rotate across the full value band it agreed on before.
Trade idea: long near VAL (102) with target POC → VAH (103–104), stop below the VAL if acceptance fails.
Common Mistakes
Active Recall
Recall Before reading answers, cover this and answer aloud
- What % of volume defines the Value Area, and where does that number come from?
- From which point do you start building the VA, and why?
- Explain the expansion rule in one sentence.
- Why are VAH and VAL usually not symmetric about the POC?
- State the "80% rule."
Answers: 1) ~70%, a convention loosely inspired by ±1σ ≈ 68%. 2) The POC (max-volume price), because value is centered on the most accepted price. 3) At each step compare the single immediate level above vs below and add the fuller one, until 70% of volume is captured. 4) Because real profiles are skewed, so the greedy fill grows one side more. 5) If price opens outside value, re-enters and accepts, ~80% chance it traverses to the opposite VA edge.
Feynman
Recall Explain to a 12-year-old
Imagine a lunch line where everyone crowds around the pizza (the popular food). A few weird kids stand way off getting the salad or the dessert nobody wants. If I draw a rope around where 7 out of every 10 kids are standing, the rope's top and bottom are like the VAH and VAL. The pizza itself — the most crowded spot — is the POC. Prices inside the rope are "normal, agreed-upon" prices; prices outside are the odd, edge cases.
Connections
- Point of Control (POC) — the seed price the Value Area grows from.
- Volume Profile — the raw histogram VAH/VAL are computed on.
- Market Profile & TPO — Steidlmayer's original framework using time instead of volume.
- Standard Deviation & Normal Distribution — the 70% ≈ ±1σ statistical analogy (not the literal definition).
- Support and Resistance — VAH/VAL act as dynamic S/R levels.
- 80% Rule (Market Profile) — the rotation trade across the value band.
- Order Flow & Tape Reading — parent chapter: reading where volume clusters live.
#flashcards/stock-market
What does the Value Area represent?
What are VAH and VAL?
Where does the 70% figure come from?
Are VAH/VAL true ±1σ edges of the distribution?
What is the POC?
From which point is the Value Area built?
What is the VA expansion rule (volume-profile convention)?
Why are VAH and VAL usually asymmetric about the POC?
What is the common mistake of confusing VA with the day's range?
State the 80% rule.
How does VAL/VAH behave in trading?
Concept Map
Hinglish (regional understanding)
Intuition Hinglish mein samjho
Dekho, Value Area ka funda simple hai. Din bhar market alag-alag prices pe trade karti hai, lekin sabse zyada volume kuch particular prices ke aas-paas hota hai — jaise concert mein bheed stage ke paas hoti hai. Jis price pe sabse zyada volume hua use POC (Point of Control) kehte hain. Ab POC se ek-ek level upar aur neeche compare karo — dono immediate neighbours mein se jo bada ho use band mein add karo — jab tak 70% total volume cover na ho jaye. Us band ka upar wala kinaara VAH (Value Area High) aur neeche wala VAL (Value Area Low) hai.
70% aata kahaan se? Statistics ke ±1 standard deviation (~68%) se milta-julta hai, isliye round karke 70% le liya. Lekin dhyaan do — yeh sirf ek analogy hai. VAH/VAL sach mein ±1σ distance nahi hain; yeh POC (mode) ke around ka contiguous 70% quantile band hai. Agar profile skewed ho toh yeh dono cheezein alag ho jaati hain. Ek common galti: log poore din ki high-low range ko hi value maan lete hain — galat! Range mein tails (bahut kam volume wale extreme prices) bhi aate hain, Value Area sirf beech ka dense hissa leti hai.
Trading mein iska use kya? VAH aur VAL support/resistance ki tarah kaam karte hain. Agar price value ke bahar open hoti hai, phir andar aa ke "accept" ho jaati hai, toh 80% chance hai ki wo opposite edge tak jaayegi — isko 80% rule kehte hain. Matlab agar VAL ke paas buyers wapas aa gaye, toh target POC se VAH tak ho sakta hai. Yaad rakho: value ke andar price "fair" hai, value ke bahar "cheap ya expensive" — yahi order flow reading ka core hai.