Log vs Linear: Why Your "Broken" Support Never Actually BrokeLog vs Linear: Why Your "Broken" Support Never Actually Broke
LOG vs LINEAR: THE ADVANCED BREAKDOWN
(Premium Edition - for traders who actually draw levels for a living)
Most people treat this as a cosmetic toggle. It isn't. Your scale choice silently changes your trendlines, your Fibs, your moving averages, and your backtest results. Here's the deep version. 👇
🔰 THE CORE MATH:
🔹 Linear scale: equal vertical distance = equal absolute price change (Δ$).
🔹 Log scale: equal vertical distance = equal proportional change (Δ ln P).
On a log chart, a straight line is not constant price growth, it is constant percentage growth. A rising straight line on log = compounding at a fixed rate. That single fact is why log is the natural home for any asset with exponential history.
Crypto is the most exponential asset class in existence. CRYPTOCAP:BTC has moved roughly 8 orders of magnitude. Displaying that on linear is a rendering error, not analysis.
🔰 WHERE LOG IS NON-NEGOTIABLE
✔️ HTF structure - Weekly, Monthly, and multi-cycle views
✔️ Long-term trendlines and channels (semi-log channels only)
✔️ Power law / log regression bands, rainbow models, diminishing returns curves
✔️ Cycle-to-cycle comparison: 2013 vs 2017 vs 2021 vs 2024–25 tops
✔️ Ratio charts (ETH/BTC, TOTAL2/BTC.D, alt/BTC pairs): ratios are inherently multiplicative
✔️ Any asset with 10x+ range on screen: majors, low-caps, memecoins
✔️ Comparative performance overlays between two assets with different price magnitudes
⚠️ The Trap: a multi-year trendline that reads as a clean breakdown on linear is frequently untouched on log. Every cycle, a chunk of the market capitulates into a support that never actually broke. Check the log view before you post a breakdown call.
🔰 WHERE LINEAR IS THE CORRECT TOOL
✔️ Execution timeframes: 1m through 4H
✔️ Order Blocks, FVGs, breaker blocks, liquidity pools, equal highs/lows
✔️ Precise entry, invalidation, and R:R measurement
✔️ Range-bound and compressed price action
✔️ Anything where your position sizing is denominated in absolute dollar risk
✔️ Volume profile, VWAP, market profile studies
Rationale: within a narrow range, ln(P) is approximately linear, the two scales converge and linear gives you cleaner, more auditable measurement.
🔰 THE PART ALMOST NOBODY TALKS ABOUT
1️⃣ Fibonacci levels change:
A 0.618 retracement on linear is not the same price as a 0.618 on log. Log Fibs compute the retracement in percentage space. On a 5x impulse the difference between the two can be double-digit percentages. If you swing trade off Fibs across large moves, you must decide which one is your system and never switch mid-analysis.
2️⃣ Moving averages are linear objects:
An SMA/EMA is computed on price, not on log-price. So on a log chart the MA is still a linear-space calculation being rendered in log space. It is not "wrong," but do not treat an MA slope on log as a growth-rate line the way you would a semi-log trendline.
3️⃣ Pattern geometry warps:
Wedges, triangles, and channels are geometric shapes. Change the scale, change the geometry. A "rising wedge" on linear can render as a clean parallel channel on log. Both readings cannot be right. Choose your reference frame first, then read the pattern.
4️⃣ Volatility is proportional, not absolute:
Crypto returns are far closer to log-normal than normal. Your risk model should think in percentage terms (ATR%, standard deviation of log returns), not raw dollar swings. Log charting is the visual expression of the same idea.
5️⃣ Backtests inherit the scale:
If you draw your levels on log and backtest on linear, you are testing a different strategy than the one you traded. Reproducibility dies here.
🔰 THE OPERATING FRAMEWORK
➡️ LOG for BIAS: cycle position, HTF trend, long-term structure, ratio analysis, valuation models
➡️ LINEAR for EXECUTION: LTF structure, entries, stops, targets, sizing
Zoom out in log space. Zoom in in linear space. Never let the two contaminate each other in a single thesis.
🔰 THE DISCIPLINE RULE:
A trendline drawn on log and a trendline drawn on linear are two different objects. So are the Fibs, the channels, and the patterns built on them.
Therefore:
→ Declare your scale before you draw
→ Keep it fixed across the entire analysis
→ Label the scale on every chart you publish
→ If your level only holds on one scale, that is information, say so out loud
Analysts who don't state their scale are not publishing a level. They are publishing a picture.
🔰 CryptoPatel Note: Log is the true coordinate system of an exponential asset. Linear is the coordinate system of a trade. Professionals use both and they never confuse which one they are standing in.
Save this one.
LOGARITHMIC
Shoppers Stop Ltd view for Intraday 16th Jan #SHOPERSTOP
Shoppers Stop Ltd view for Intraday 16th Jan #SHOPERSTOP
Resistance 630 Watching above 632 for upside movement...
Support area 620 Below 620 ignoring upside momentum for intraday
Watching below 618 or downside movement...
Above 630 ignoring downside move for intraday
Charts for Educational purposes only.
Please follow strict stop loss and risk reward if you follow the level.
Thanks,
Log Scale vs Linear Scale ChartsLog Scale vs Linear Scale Charts.
Log Scale - It is a type of representation where price is equally distributed in percentage.
Linear Scale - It is type of representation where price is equally distributed in terms of price points.
There will be no difference in terms of Moving averages, Fibonacci, Horizontal levels if you select any of two option.
#HINDCOPPER... Looking good 30.05.23#HINDCOPPER...
Intraday as well as swing trade
All levels given in charts ...
IF good potential seen then we work in options also
if activate then possible a good movement Keep eye on this ...
We take trade only when it activates...
Possible to give good target
TRADING FACTS
Nifty all set to form a new All Time High?Nifty on the logarithmic chart, seems to be in a strong long term trend. The previous correction, which undoubtedly instilled fear in the minds of almost all investors evidently appears to be so small & relatively weak as it failed to touch the previous all time high. This insinuates that Nifty is headed to form a new High!
BTC Long term viewUsing logarithmic curves by @quantdelic and my awful drawing skills, I'd like to believe that BTC could be valued at more than 30 mil by 2035.
Ofcourse, this could be due to inflation (mass dollar printing, infinite QE, etc) or BTC taproot or more bitcoins being lost (currently standing at 33% of total supply lost)
It doesn't have to be one or the other, actually.






