Linearity V1.0Linearity Research — Trend Quality & Move Detection
This indicator finds clean, low-chop upward price moves ("linear" moves) and scores how good each one is, then rolls those scores up into a single Linearity Score so you can quickly judge whether a stock tends to trend smoothly or in choppy, unreliable swings.
How a move is detected
- A move begins when price closes above its EMA (default length 21).
- It ends only after price closes back below the EMA and then makes a new low below the low of that breakdown bar — a two-step exit that avoids ending a move on a single EMA wick.
Qualifying a move
- Persistence = the % of bars in the move that closed above the EMA. This measures how smooth vs. choppy the move was.
Qualifying a move
- Persistence = the % of bars in the move that closed above the EMA. This measures how smooth vs. choppy the move was.
- Smooth moves (persistence ≥ the High Persistence Threshold) only need to clear a lower minimum peak-gain bar to qualify. Choppier moves must clear a higher bar. This keeps ragged-but-large rallies from scoring as well as genuinely straight-line moves.
Per-move score (0–100)
- Peak % gain — 40%
- Efficiency Ratio (net move ÷ total price path traveled; 1.0 = a straight line, lower = more back-and-forth) — 30%
- Persistence — 20%
- Max intra-move drawdown (light penalty) — 5%
- Pullback count (light penalty) — 5%
Linearity Score
Over a configurable lookback window (in years), the script averages the score, peak %, and Efficiency Ratio of every qualifying move, then adds a small bonus for having more qualifying moves (capped), producing one 0–100 Linearity Score. This, along with move count, average peak %, and average ER, is shown in an on-chart panel.
Visuals
- Green boxes mark each qualifying move, labeled with its peak % gain and score.
- Optional EMA plot.
- A configurable bottom panel shows either the Linearity summary or a detailed table of every qualifying move (dates, peak %, ER, persistence, drawdown, pullbacks, duration, score) — position, text size, and colors are all adjustable.
How to use it
Use the Linearity Score to screen for stocks whose historical rallies tend to be smooth and orderly rather than violent and choppy — useful for trend-following or momentum approaches that don't want to fight excessive volatility. Switch the bottom panel to the Detailed Table to audit exactly which historical moves are driving the score.
Note: this script only evaluates upward (bullish) moves triggered by EMA crossovers — it does not detect or score downtrends.
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Market Breadth Toolkit [LuxAlgo]The Market Breadth Toolkit allows traders to use up to 6 different market breadth measures on two different exchanges, for a total of 12 different views of the market.
This toolkit includes divergence detection and allows setting custom fixed levels for traders who want to experiment with them.
🔶 USAGE
The main idea behind Breadth is to measure the number of advancing and declining issues and/or volume by exchange to have an idea of the underlying strength of the whole exchange.
On the other hand, thrusts represent big impulses in the breadth, as it is described by technicians to be the start of a new bullish trend.
By default, the Toolkit is set to "Breadth Thrust Zweig", with divergences enabled.
We will now explain all the different breadth measures available in the toolkit.
🔹 Deemer Breakaway Momentum
The "Breakaway Momentum" is a concept related to market breadth introduced by legendary technical analyst Walter Deemer.
As stated on his website:
We coined the term "breakaway momentum" in the 1970's to describe this REALLY powerful upward momentum
and:
We now know that the stock market generates breakaway momentum when the 10-day total advances on the NYSE are greater than 1.97 times the 10-day total NYSE declines OR the 20-day total advances on the NYSE are greater than 1.72 times the 20-day total NYSE declines.
As we can see in the chart above, which shows both methods, momentum is identified when the ratio of advancing issues to declining issues is greater than 1.97 for the 10-day average or 1.72 for the 20-day average.
🔹 Zweig Breadth Tools
Legendary trader and author Marting Zweig, best known as the author of "Winning on Wall Street" and the creator of the Put/Call Ratio.
In this toolkit, we feature two of his other tools:
Breadth Thrust: Number of Advancing / (Number of Advancing + Number of Declining Stocks)
Market Thrust: (Number of Advancing × Advancing Volume) — (Number of Declining Stocks × Declining Volume)
As we can see on the above chart, the Breadth Thrust printed a new signal on April 24, 2025, which is a bullish signal on the daily chart that can last several months, considering the previous signals.
On the right side, we have the Market Thrust as the delta between advancing minus declining volume weighted.
🔹 Whaley Measures
Wayne Whaley received the 2010 Charles Dow Award from the CMT Association, as stated on their website: "In 1994, the CMT Association established the Charles H. Dow Award to recognize outstanding research in technical analysis."
We include two of the tools from this paper:
Advance Decline Thrust: Number of Advancing / (Number of Advancing + Number of Declining Stocks)
Up/Down Volume Thrust Advancing Volume / (Advancing Volume + Declining Volume)
The chart above shows Thrust signals at extreme readings as described in the paper.
🔹 Divergences
The divergence detector is enabled by default, traders can disable it and fine-tune the detection length in the settings panel.
🔹 Fixed Levels
Traders can adjust the Thrust detection thresholds in the settings panel.
In the image above, we can see the Deemer Breakaway Momentum 10 with the original threshold (below) and with the 3.0 threshold (above).
🔶 SETTINGS
Breadth: Choose between 6 different breadth thrust measurement methods.
Data: Choose between NYSE or NASDAQ exchanges.
Divergences: Enable/Disable divergences and select the length detection.
🔹 Levels
Use Fixed Levels: Enable/Disable Fixed Levels.
Top Level: Select the top-level threshold.
Bottom Level: Select bottom level threshold.
Levels Style: Choose between dashed, dotted, or solid style.
🔹 Style
Breadth: Select breadth colors
Divergence: Select divergence colors
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Trend Thrust Indicator - RafkaThis indicator defines the impact of volume on the volume-weighted moving average, emphasizing trends with greater volume.
What determines a security’s value? Price is the agreement to exchange despite the possible disagreement in value. Price is the conviction, emotion, and volition of investors. It is not a constant but is influenced by information, opinions, and emotions over time. Volume represents this degree of conviction and is the embodiment of information and opinions flowing through investor channels. It is the asymmetry between the volume being forced through supply (offers) and demand (bids) that facilitates price change. Quantifying the extent of asymmetry between price trends and the corresponding volume flows is a primary objective of volume analysis. Volume analysis research reveals that volume often leads price but may also be used to confirm the present price trend.
Trend thrust indicator
The trend thrust indicator (TTI), an enhanced version of the volume-weighted moving average convergence/divergence (VW-Macd) indicator, was introduced in Buff Pelz Dormeier's book 'Investing With Volume Analysis'. The TTI uses a volume multiplier in unique ways to exaggerate the impact of volume on volume-weighted moving averages. Like the VW-Macd, the TTI uses volume-weighted moving averages as opposed to exponential moving averages. Volume-weighted averages weigh closing prices proportionally to the volume traded during each time period, so the TTI gives greater emphasis to those price trends with greater volume and less emphasis to time periods with lighter volume. In the February 2001 issue of Stocks & Commodities, I showed that volume-weighted moving averages (Buff averages, or Vwmas) improve responsiveness while increasing reliability of simple moving averages.
Like the Macd and VW-Macd, the TTI calculates a spread by subtracting the short (fast) average from the long (slow) average. This spread combined with a volume multiplier creates the Buff spread อินดิเคเตอร์
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