Tubbsie's Chop Warning Indicator**Chop Warning**
A simple, at-a-glance indicator that tells you whether the market is trending cleanly or chopping sideways around a moving average — the kind of environment where breakouts fail, stops get hunted, and most trend-following setups don't work.
**How it works**
The indicator picks a reference EMA (13 by default) and counts how often each candle's high–low range contains that EMA. When price is trending, most candles sit cleanly above or below the moving average and the count stays low. When price is chopping, the EMA sits inside candle after candle and the count rises.
Two views are reported side by side:
- **Rolling** — the percentage of crosses over the last N candles, showing what's happening right now
- **Session** — the percentage across the whole trading session, showing the character of the day as a whole
Both figures appear in a small on-chart table, colour-coded green (clean), amber (mixed), or red (choppy). A single verdict line at the top summarises the current state in plain English.
**Settings**
Everything is configurable: EMA length, rolling window size, the two thresholds that define "clean" and "choppy", which view drives the warning (rolling, session, or either), the session window and timezone, table position and size, colours, and optional background shading when a warning is active. Alerts fire when chop is detected and when the market cleans up again.
**How to use it**
Works on any market and any timeframe. Add it to your chart alongside your existing setup and treat a red verdict as a filter — a signal to stand aside, reduce size, or wait for the environment to improve before taking a trend-based trade.
Indicator
PING - Regime & Style Fit [Technical-Trades]Every chart timeframe implies a trading style — sub-5-minute charts are scalping territory, 5m–1h is intraday, roughly 2h–daily is swing, weekly and above is position trading — and every market phase treats those styles differently. Many losing streaks are not bad entries; they are a style/conditions mismatch: scalping chop, swing-trading a dead base, fading a tape that is trending.
PING answers one question about whatever chart you have open: do current conditions fit the style this timeframe belongs to?
WHAT THE HUD SHOWS
- Timeframe · style band — which of the four style bands your chart timeframe belongs to (SCALP under 5m · DAY 5m–1h · SWING ~2h–1D · POSITION 1W and above; in-between timeframes round to the nearest class).
- Regime — one of four coarse market characters on this chart timeframe: TREND ↑, TREND ↓, RANGE, or VOL CHOP.
- Character — the two raw measurements behind the call: the Aroon oscillator (−100…+100) and how wide the recent high-low span is versus its own baseline (×).
- Fit — ● FAVORABLE, ◐ MIXED / STAND-BY, or ○ CAUTION for this timeframe's style, plus a one-line read explaining why. A quiet range with an unusually narrow span is additionally tagged coiled — compression that often precedes expansion.
An optional background tint and bar coloring paint the regime directly on the chart.
HOW IT WORKS (THE WHOLE ENGINE, NOTHING HIDDEN)
Two commodity measurements, both read from nothing but the rolling price extremes, computed on the chart timeframe only:
1. Trend + side — the Aroon oscillator (length 25, the indicator's original default, lightly smoothed with a 3-bar average): how recently the 25-bar high was made versus the 25-bar low, on a −100…+100 scale. Fresh highs with stale lows read strongly positive (uptrend); the reverse reads strongly negative. At or above ±70 — the conventional strong-trend line — the tape is called directional, and the sign picks the side.
2. Volatility — the high-low span of the last 40 bars as a percent of price, compared to its own 150-bar average, so "wide" and "narrow" are always relative to this market on this timeframe.
Regime resolution: oscillator magnitude at or above the threshold = trending. Not trending with the span at or above 1.6× its baseline = VOL CHOP (large, directionless swings). Everything else = RANGE, tagged coiled when the span sits at or below 0.5× — half its normal width, compression that often precedes expansion. All thresholds are inputs.
WHAT PING DELIBERATELY DOES NOT DO
No entries, no exits, no levels, no arrows, and no higher-timeframe requests — there is not a single request.security() call in the code. It diagnoses conditions; what you do with that is your process.
HONEST LIMITATIONS
The engine has no hysteresis and no state memory beyond the 3-bar smooth, so bars near a threshold can flip the read back and forth — the cost of keeping the math this simple and fully inspectable. Early chart history defaults to RANGE until the 150-bar span baseline warms up; that is expected, not a bug. The HUD updates on the developing bar like any indicator.
ALERTS (recommend "Once per bar close"; conditions are additionally gated to confirmed bars in code)
- Regime changed
- Fit turned FAVORABLE
- Fit turned CAUTION
Works on any symbol and any timeframe. Educational tool — not financial advice and not a signal service. Indicator
Regime Classifier [RC Tools]RC Tools — Regime Classifier
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█ OVERVIEW
Most indicators assume a single market condition and quietly fail in another. This tool doesn't generate signals — it tells you which of four market regimes you are currently in, so you can judge whether your existing tools are operating in conditions that suit them. It is a context tool, not a decision tool.
█ WHAT IT DOES
Classifies each confirmed bar into one of four states and colours the chart background accordingly:
• Trending — Expansion: directional, volatility rising
• Trending — Exhaustion: directional, volatility compressing
• Ranging — Quiet: no direction, low volatility
• Ranging — Volatile: no direction, high volatility (chop)
A table (top-right by default, repositionable) shows the current regime, how long price has been in it, and historical base rates — the average forward return and win rate seen after each regime, going back over the chart's full history.
█ THE THEORY BEHIND IT
Market behaviour is not stationary. A trend-following tool that performs well in directional expansion will bleed in volatile chop; a mean-reversion tool does the reverse. Rather than attempting to fix any single indicator, this tool identifies which environment you are in, using two independent dimensions — directionality and volatility state — that measure genuinely different properties of price behaviour rather than two correlated views of the same one.
█ HOW IT IS CALCULATED
DIRECTIONALITY — Efficiency Ratio over N bars:
ER = |close − close | ÷ Σ|close − close |
Bounded 0–1. A value near 1 means price travelled almost directly from A to B (trending); near 0 means it wandered (ranging). No fitted parameters beyond the lookback. The Efficiency Ratio was introduced by Perry Kaufman as the core input to his Adaptive Moving Average (KAMA); it is used here purely as a directionality measure, independent of any moving average.
VOLATILITY STATE — realised volatility, percentile-ranked:
RV = stdev(log(close/close ), N)
RV is then ranked as a percentile against its own trailing distribution (default: 750 bars, ≈3 years on daily). An absolute volatility threshold is meaningless across assets — percentile ranking makes the classification behave identically on BTC, gold and equities with no parameter tuning.
The two dimensions are crossed to yield the four states. Classification occurs ONLY on confirmed bar close — the background never updates mid-bar and then flips back.
The base-rate table works by recording, for every historical bar, the forward N-bar return and whether it was positive, attributed back to whichever regime was active N bars earlier. Only fully-elapsed, already-known returns are used — nothing is looked up ahead of the current bar.
█ SETTINGS & CONFIGURATION
• Efficiency Ratio Lookback (default 20) — shorter = more responsive, noisier
• Realised Volatility Lookback (default 20)
• Percentile Ranking Window (default 750 bars ≈ 3 years daily) — longer = more stable, needs more history
• Directionality Threshold (default 0.35) — the ER above which price is considered trending
• Volatility Percentile Threshold (default 50) — the split between low and high volatility states
• Forward Return Window (default 20 bars) — the horizon used for the base-rate table
• Table position and background colours are fully configurable; the main-chart background painting can be toggled off if you only want the diagnostic pane
█ HOW TO USE IT
Use it as a filter on your existing process, not as an entry trigger. Example: if you run a breakout system, check whether it has historically performed in Ranging — Volatile; if not, consider standing aside when the background flags that state. Example: a mean-reversion system will typically show its worst results in Trending — Expansion.
Works on any asset and timeframe with sufficient history for the percentile window. Best used on daily and above, where regime persistence is greatest.
█ LIMITATIONS
This tool classifies the PRESENT. It does not predict the future, and any use of it as a forecast is a misuse.
• Regime identification is backward-looking by construction. The tool will confirm a regime change several bars AFTER it occurred. This lag cannot be removed without curve-fitting or repainting, and has not been.
• Classification is unstable near threshold boundaries; expect flickering between states when ER or volatility percentile sit close to the cut-offs.
• The percentile ranking requires substantial history. On assets with short histories, the ranking is unreliable and the tool should not be trusted.
• The base-rate table's early entries are built on fewer samples than its later ones — treat statistics as provisional until a state has accumulated a meaningful sample count.
• Four states is a deliberate simplification of a continuous reality. Markets do not actually occupy discrete regimes.
• This script does NOT repaint. All classification is computed on confirmed bar close only.
█ DISCLAIMER
For educational and informational purposes only. Nothing here is financial advice. Past behaviour of any market regime does not indicate future results. Trade at your own risk.
Indicator
NQ Chop FilterNQ Chop Filter is a volatility and trade-confidence meter built for short-term NQ trading, especially on the 30-second chart.
This indicator is not a buy/sell signal and it is not meant to replace a trading strategy. It is designed to help judge whether current market conditions are strong, normal, cautious, or dangerous before managing risk.
The meter studies recent candle range, fast range expansion/compression, net price movement, directional efficiency, and wider trend/grind movement.
The dashboard gives a simple reading:
HIGH
Strong volatility and movement. Full confidence conditions. Larger targets are more reasonable.
NORMAL
Conditions are acceptable. Trading is still okay, but avoid sizing up blindly.
CAUTION
Market is less clean. Trade smaller, be more selective, and manage risk tighter.
DANGER
Weak movement or poor follow-through. Reduce size or wait.
How to use:
1. Add the indicator to an NQ chart.
2. Best used on the 15-second to 2-minute timeframe. Best on 30s.
3. Watch the dashboard before taking a trade.
4. Use HIGH and NORMAL as cleaner environments.
5. Use CAUTION and DANGER as risk warnings, not automatic signals.
6. Do not use this indicator by itself for entries.
7. Combine it with your own entry model, stop loss, take profit, and daily risk rules.
The main purpose is to avoid blindly trading the same size in all market conditions. It helps identify when the market is moving cleanly versus when price is slow, compressed, or choppy.
This script is for educational and informational purposes only. It is not financial advice. Indicator
Trend Quality [AGPro Series]Trend Quality
Trend Quality fuses three independent regime dimensions — ADX directional strength, Kaufman Efficiency Ratio, and ATR-normalized EMA slope — into a single 0–100 composite Trend Quality Score. A hysteresis + confirmation + cooldown gate turns that score into a stable TREND / CHOP regime, enhanced with HTF confirmation, lifecycle phases, score velocity, breakout grading, directional dominance, and a full adaptive on-chart quality window. The goal is simple: replace noisy "is this a trend?" guessing with a transparent, multi-dimensional, low-lag quality reading you can read in one glance.
🎯 OVERVIEW
Most trend filters fail at the same thing — they tell you a trend exists, but not whether that trend is clean, accelerating, fading, or already exhausted. Trend Quality answers the harder question. Every bar is scored on three independent dimensions that each measure a different physical property of price movement:
• ADX — directional strength (how strongly one side dominates)
• Kaufman Efficiency Ratio (ER) — path efficiency (how little wasted motion)
• ATR-normalized EMA slope — normalized trend velocity (how fast, relative to volatility)
These three signals are combined into one 0–100 Trend Quality Score. A hysteresis band + confirmation bars + cooldown filter convert that score into a stable TREND / CHOP regime — no single-bar flipping, no false recovery wicks. On top of the core regime, the indicator layers Score Velocity, Lifecycle phases (Emerging → Confirmed → Exhausting), Breakout Quality grading (A / B / C), directional dominance, and a visual Quality Window that tracks the active trend zone and projects it forward.
💎 UNIQUE EDGE
What separates Trend Quality from a standard ADX filter, an EMA slope indicator, or a generic regime meter:
• Tri-factor fusion (not a single metric) — ADX alone misses path quality; ER alone misses direction; slope alone misses choppy-but-strong moves. Weighted fusion (45% ADX, 35% ER, 20% Slope) neutralizes each component's blind spot.
• Stable regime, not a flickering line — the TREND / CHOP state passes through a 3-layer filter: hysteresis band around the threshold, N confirmation bars, and a cooldown window after every transition. The result is a regime reading that holds through pullbacks without flipping.
• Score Velocity Engine — a second-derivative layer that watches how fast the score itself is changing. Surges flag momentum ignition; collapses flag quality breakdown before price confirms it. A bearish divergence detector fires when price makes new highs while quality is fading.
• Lifecycle phases — inside every TREND regime, the script distinguishes Emerging (young, fresh, accelerating), Confirmed (mature, stable, above buffer), and Exhausting (score rolling over from a peak). This lets you see whether you are entering early, running mid-trend, or catching the end.
• Breakout Quality Badge (A / B / C) — every CHOP → TREND transition receives a graded badge based on composite score plus velocity bonus. Grade A breakouts are rare and have an optional dedicated alert.
• HTF confirmation with Auto-HTF mapping — the same engine runs on a higher timeframe. When LTF is trending but HTF is not, the regime is marked BLOCKED (not forced to CHOP) so you retain full transparency about why the regime is gated.
• Adaptive Quality Window — a live rectangular zone that tracks the full trend's high/low from its start bar, projects forward, shows ceiling/floor projection labels, and preserves historical windows with directional color coding (green for up-trends, pink for down-trends, amber for HTF-blocked trends).
🧪 METHODOLOGY
Core composite score (every bar, LTF):
Score = 100 × (0.45 × ADX_norm + 0.35 × ER_norm + 0.20 × Slope_norm)
• ADX_norm = min(ADX / 50, 1)
• ER_norm = |close − close | / (SMA(|Δclose|, N) × N)
• Slope_norm = min(|EMA − EMA | / ATR × 10, 1)
Regime gating:
• Hysteresis: +3 above threshold to enter TREND, −3 below to enter CHOP
• Confirmation: N consecutive bars above/below the hysteresis band
• Cooldown: N bars after every regime flip where no new flip is allowed
MTF confirmation (optional, default ON):
The same core function is called via request.security on the HTF (Auto: 30m→4H, 4H→Daily, Daily→Weekly, Weekly→Monthly in Strict mode). When LTF=TREND but HTF=CHOP, the regime is tagged BLOCKED — a transparent third state that is neither forced-CHOP nor accepted-TREND.
Lifecycle logic:
• Emerging: TREND is young (bars since start ≤ Emerging Bars) OR score slope ≥ 0 and score below buffer
• Confirmed: score ≥ threshold + Confirmed Buffer AND HTF passes (optional)
• Exhausting: score slope < 0 AND pullback from peak ≥ Exhaustion Pullback
Score velocity:
velocity = score − score (default 5-bar look-back)
Breakout quality grading:
bqScore = score + velocity_bonus (bonus: +15 if vel>15, +7 if vel>5, else 0)
A ≥ 82, B ≥ 67, C < 67
🔔 SIGNALS & ALERTS
The script exposes 12 alert conditions — all moderator-safe, educational, non-solicitating:
• CHOP → TREND / TREND → CHOP regime flips with LTF+HTF context
• Strong Trend composite conviction threshold
• HTF Blocked / HTF Unblocked third-state transparency events
• Emerging / Confirmed / Exhausting Trend lifecycle phase changes
• Velocity Surge / Velocity Collapse second-derivative extremes
• Grade-A Breakout rare high-conviction breakouts
• Bearish Divergence price up, quality down warning
On-chart visual events (also filterable via inputs):
• Breakout Quality badge (A / B / C) at every CHOP → TREND
• Bearish divergence ⚠ marker at trend peaks where quality fades
• State tag near backbone: EMERGING / CONFIRMED / EXHAUSTING / HTF BLOCKED
• Quality Window label: ACTIVE + phase
• Projection labels on the right edge: QUALITY CEILING / TREND FLOOR
All badge and warning labels are gated with an 8-bar cooldown so the chart stays clean even on repeated intra-swing triggers.
⚙️ KEY INPUTS
Core engine:
• ADX Length (14) — directional strength look-back
• Efficiency Length (20) — ER path-efficiency window
• Slope EMA Length (50) — trend backbone reference
• ATR Length (14) — volatility normalization
• TREND Threshold (55) — composite score level to enter TREND
• Confirmation Bars (1) — bars of persistence before flipping
• Strong Trend Offset (15) — extra score above threshold for STRONG tag
MTF:
• HTF Confirmation (ON) — enable/disable HTF gate
• Auto HTF (ON, Strict) — smart HTF mapping per chart TF
• Manual HTF (240) — override timeframe
Stability:
• Change Cooldown Bars (2) — lock-out window after any regime flip
Lifecycle:
• Emerging Phase Bars (4) — max trend age to stay Emerging
• Confirmed Buffer (8.0) — score must clear threshold+buffer
• Exhaustion Pullback (4.0) — peak-to-current drop to flag Exhausting
Visual Overlay:
• Backbone + Glow + Zone + State Candles + Quality Window + Historical Windows + Projection Box + Guides + Midline (all toggleable)
Panel, Theme, Layout, Help rows, Alerts, Score Velocity Engine, Breakout Quality Badge, Divergence Detector — every layer has its own input group and can be shown/hidden independently.
📘 HOW TO USE
Read-in-one-glance panel (standard AGPro format):
• Blue header row: script title
• Line 2: REGIME / LIFECYCLE · Score N/100 · Velocity state
• Line 3: LTF regime · Direction · Directional Dominance
• Line 4: HTF regime · MTF PASS/BLOCKED · Active Window state · Streak
Quick playbook:
1. CHOP on LTF → wait. No setup, no commitment.
2. CHOP → TREND transition with Grade A badge + HTF PASS → highest-conviction regime start.
3. CONFIRMED phase with DOM HIGH and rising score → the middle of the trend, usually the cleanest section.
4. Velocity COLLAPSE or EXHAUSTING phase with bearish divergence ⚠ → quality is deteriorating; reduce exposure or tighten stops.
5. HTF BLOCKED amber window → LTF trend exists but higher timeframe disagrees; treat as lower-conviction and be aware of mean-reversion risk.
The indicator does NOT issue buy/sell signals, does NOT define entry/exit prices, and is NOT a strategy. It is a regime-quality reading — a context layer you pair with your own trade management.
⚠️ LIMITATIONS & TRANSPARENCY
• Trend-quality indicators are inherently trend-following. In low-volatility ranges the score can stay above threshold on minor moves; in very fast markets the score can lag by 1–3 bars while the filters stabilize.
• HTF confirmation introduces a natural HTF delay. This is intentional (it removes noise) but means the HTF gate may lift several LTF bars after price has already moved.
• All composite signals rely on look-backs (ADX 14, ER 20, Slope EMA 50, ATR 14). On very short intraday timeframes with low bar counts these need calibration.
• Lifecycle phases are structural readings, not predictions. EXHAUSTING means the score is rolling over — not that price must reverse.
• Past performance of any visual regime does not imply future performance. Charts showing clean historical windows are illustrative of the indicator's logic, not trading results.
• No repainting on historical bars. The HTF call uses lookahead_off and barmerge.gaps_off. Score and regime values on closed bars are final.
🛡️ RISK DISCLOSURE
This script is published as an educational and analytical tool. It does not provide financial advice, does not generate trade signals of any kind, and must not be used as a standalone decision system. Markets involve substantial risk of loss. Past behavior of any market regime, indicator output, or historical visual window is no guarantee of future results. Always combine any indicator with independent risk management, position sizing, a tested plan, and — where appropriate — the guidance of a licensed professional. You are solely responsible for any trading decisions you make. Indicator
Regime Transition Intelligence [AGPro Series]Regime Transition Intelligence
Most regime scripts answer a single question: "what regime are we in right now?". Regime Transition Intelligence is designed to answer a different, more actionable set of questions: how long does this regime usually last, how close to its typical end is it, how likely is it to flip within the next N bars, and where does it historically go when it does flip. Instead of treating the current regime as a standalone snapshot, it builds a living, self-calibrating statistical profile of the symbol's own regime behavior and presents it in a compact on-chart dashboard.
The engine runs on three independent axes — Trend Strength (Kaufman Efficiency Ratio + ADX), Chop Risk (Choppiness Index + inverse trend), and Volatility (ATR% normalized over a user-defined lookback). Each axis is classified as LOW / MID / HIGH, either with fixed 33/67 thresholds or with an adaptive percentile rank engine that learns the symbol's own statistical envelope over a rolling window. The three axes are then combined into a discrete regime state: TREND, MIXED, or RANGE / CHOP.
🟦 Overview / What it does
Regime Transition Intelligence is a single-pane overlay indicator that continuously classifies the market into one of three regimes and then layers a full transition intelligence stack on top of that classification:
- A per-regime dwell-time distribution learned from the chart's own completed regime blocks
- A Bayesian-style flip probability that answers "how likely is a regime change within the next N bars, given the current age"
- A 3x3 transition matrix that ranks the most likely next regime with a secondary fallback
- A fatigue score comparing the current regime's age to its historical mean (FRESH / MATURE / EXTENDED)
- A confidence decay tracker that shows whether conviction is BUILDING, STABLE, or FADING within the current regime block
- A compact history ribbon showing the last completed regime blocks with their durations
- Higher-timeframe alignment with a SYNC / DIV indicator and a live beacon at the right edge of the chart
All of this is delivered inside a single configurable dashboard, a directional transition marker layer on the chart, optional regime tint and candle coloring, and a right-edge beacon summarizing the current state.
🟣 Unique Edge / Why it is not a basic mashup
Standard regime indicators report the current state and stop there. Regime Transition Intelligence adds six distinct statistical layers that together form a transition-aware view:
1. Dwell Time Statistics — the script stores every completed regime block in a rolling array (configurable depth) and continuously updates running mean, running variance, running max, and running count per regime code. Statistics are only shown after a minimum number of blocks per regime have been collected, so the user always knows when the sample size is still too small.
2. Exponential Hazard Flip Probability — the baseline flip probability uses P(flip within H bars) = 1 - exp(-H / mean), a standard survival-analysis construction assuming constant hazard. The result is then fatigue-adjusted: if the current age is far above the historical mean, the probability is boosted; if the regime has just started, the probability is damped. The final value is capped at 95% to avoid certainty claims.
3. Transition Matrix — a 3x3 counter records every observed regime transition and is read as a conditional distribution: "given the current regime ends, which regime is it most likely to move to, and what is the runner-up". Both the top candidate and the secondary candidate are displayed with their percentages.
4. Fatigue Score — the ratio of the current age to the historical mean is bucketed into three zones (FRESH, MATURE, EXTENDED) using user-configurable thresholds. It tells the user whether the current regime is still in its early lifecycle or already past its typical end.
5. Confidence Decay Tracker — conviction in the current regime is sampled at the start of each new block and compared to the current conviction. The delta is classified as BUILDING, STABLE, or FADING, which gives an early read on whether the regime is strengthening or losing its grip.
6. History Ribbon — the last N completed regime blocks are compressed into a single compact line such as "C2·M4·C8·M1·M7*", where letters are regime codes and numbers are bar counts, with the current block marked by an asterisk. It gives immediate context on recent regime rhythm at a single glance.
None of these layers is a repackaged classic indicator. They are built on top of a trend / chop / volatility engine but deliver information that is categorically different from a simple "regime yes / no" readout.
🟢 Methodology / Conceptual data flow
1. Feature extraction. Kaufman Efficiency Ratio (net move over lookback divided by summed absolute moves) and normalized ADX are combined into a trend score. The Choppiness Index is normalized against its operating range and blended with inverse trend to produce a chop score. ATR as a percentage of price is normalized against its own lookback min/max to produce a volatility score.
2. Classification. Each score is mapped to LOW / MID / HIGH using either fixed thresholds (Static mode) or percentile rank over an adaptive lookback (Adaptive mode). The three bands are combined into a discrete regime state: TREND when trend is HIGH and chop is LOW, RANGE / CHOP when chop is HIGH, and MIXED otherwise.
3. Block tracking. Every time the regime state changes on a confirmed bar, the previous block is closed: its duration is pushed to a rolling history array and added to the running sum / sum-of-squares / count / max for its regime code. When the history array exceeds its configured depth, the oldest block is popped and its contribution is subtracted from the running totals, which keeps the statistics adaptive and non-expanding.
4. Transition matrix update. When a block closes into a new regime, the 3x3 counter is incremented at the corresponding cell, and the row total is incremented. The conditional distribution for the current regime is read from its row at display time.
5. Statistical outputs. Mean dwell, fatigue ratio, exponential-hazard flip probability, fatigue-adjusted flip probability, top and secondary next regimes, and confidence delta are all derived from the running state and rendered into the dashboard.
6. Higher-timeframe alignment. The same three-axis engine is run on a user-selected higher timeframe via request.security and compared against the current-timeframe regime; the result appears as SYNC or DIV in the header and as an optional HTF row in the dashboard.
🔔 Signals & Alerts / Interpretation
Regime Transition Intelligence is a state-mapping and statistical context tool rather than a directional buy / sell engine. The main on-chart events are:
- Regime Shift — fires when the regime state changes on a confirmed bar
- High Flip Probability — fires when the fatigue-adjusted flip probability crosses a high threshold
- Regime Fatigue Extended — fires on the transition into the EXTENDED fatigue zone
- Confidence Fading — fires on the transition into the FADING confidence zone
How to read the panel:
- Summary + Age tells the user which regime is active and how long it has been active.
- Dwell Context compares the current age to the historical mean in the form "age / mean · % of typical lifespan".
- Fatigue summarizes that comparison as FRESH, MATURE, or EXTENDED.
- Flip Probability reports the statistical odds of a regime change within the user-defined horizon.
- Next Likely names the most probable next regime with its percentage and a secondary fallback.
- Confidence and Conf Decay together tell the user whether the current read is reliable and whether conviction is rising or fading.
- History gives quick situational awareness of recent regime rhythm.
None of these rows should be interpreted as a trade instruction. They are a context layer meant to be combined with the user's own structure and entry framework.
🎛️ Key Inputs
Regime Engine Core — Trend Persistence Length, DMI/ADX Length, Chop Length, ATR Length, Volatility Normalize Lookback.
Adaptive Boundaries — Band Classification Mode (Adaptive / Static), Adaptive Lookback, Adaptive Low / High Percentile.
Transition Intelligence — Regime History Depth, Flip Probability Horizon, Min Blocks Before Stats Activate, Fatigue Fresh / Extended thresholds.
HUD — Display Mode (PRO / MINIMAL), HUD Position, Text Size, transparency controls, individual row toggles, history ribbon length.
Add-ons — Chart Regime Tint, Regime Candle Coloring (Soft / Strong), HTF Peek Timeframe, Transition Markers (location, cooldown, stagger, size, ATR offset), Live Regime Beacon (position, size, stats toggle).
🧭 How to use
1. Add the script to any chart and timeframe. The engine is tuned to work from 15m up to Daily; very low timeframes on illiquid instruments can produce unstable regime blocks and are not the intended use case.
2. Give the script time to collect blocks. Statistics stay in N/A until the configured minimum number of completed blocks per regime has accumulated. On a fresh chart or an illiquid instrument this is expected behavior, not a bug.
3. Read the dashboard top-down. Start with the three axis rows to understand the current market shape, then move to Summary and Age to see what is active and for how long, then use Dwell / Fatigue / Flip / Next Likely to place the current regime inside its historical distribution, and finally use Conf Decay and HTF to sanity-check reliability and alignment.
4. Treat EXTENDED fatigue and high flip probability as context, not as a reversal signal. Regimes can remain in the EXTENDED zone for a while before actually flipping; the statistical profile is descriptive, not deterministic.
5. Combine with structural context. The script does not know about support / resistance, order blocks, or news. It only knows about the symbol's own regime rhythm. Use it as a regime-aware filter on top of the user's existing framework.
⚠️ Limitations & Transparency
This is not a strategy and not a complete trading system. It does not predict price direction and does not generate buy or sell signals. All statistics are estimated from a rolling history of the chart's own regime blocks, so they are sensitive to the chosen engine parameters, the timeframe, and the symbol; different timeframes and different instruments will produce different statistical profiles, and that is by design.
The exponential-hazard flip probability assumes a constant hazard within the current regime, which is a simplification. Real-world regime durations are not perfectly memoryless and the fatigue multiplier is a heuristic correction, not a formal model. The probability is capped at 95% on purpose, because even a heavily aged regime cannot be considered a certainty and the script deliberately avoids certainty language.
The transition matrix is read as a conditional frequency over completed blocks; it is informative about the symbol's own past behavior and should not be interpreted as a forward-looking forecast. Very small samples produce unstable conditional probabilities, which is why stats stay in N/A until a minimum number of blocks is collected.
Regime classification itself reacts to confirmed bars and can change as new data arrives, which is expected for any regime filter. Users who prefer fully non-repainting alerts should rely on the barstate.isconfirmed-gated alert conditions provided.
📜 Risk Disclosure
Trading involves substantial risk of loss and is not suitable for every investor. Past performance is not indicative of future results. This indicator is provided for educational and analytical purposes only and should not be interpreted as financial advice, an investment recommendation or a solicitation to trade. Always combine multiple forms of analysis, manage position size responsibly, and never risk capital you cannot afford to lose. Indicator
Volatility Shape Classifier [AGPro Series]Volatility Shape Classifier
🔹 Overview
Volatility Shape Classifier is a context and diagnostics tool that does not stop at telling you whether volatility is high or low. Instead it classifies the SHAPE of that volatility on every bar — Smooth, Chaotic, Choppy, Drift, or Dead — using three independent dimensions combined into a single regime read. The result is a continuous visual narrative made of a subtle background tint, throttled transition badges, and a compact metrics panel.
It is designed to sit on your chart as a pure awareness layer. It does not generate buy or sell signals and it is not a trading strategy.
🔷 Unique Edge
Most volatility tools compress the market into one axis — high vs low (ATR, Bollinger Band Width), or trend vs range (Choppiness Index, ADX). They answer half of the question.
This script asks three questions at once and fuses the answers:
1. Magnitude — is ATR above or below its own long baseline?
2. Smoothness — are bar-to-bar moves consistent in size, or erratic?
3. Directional Consistency — do bars point the same way, or cancel each other?
Only the combination of these three can distinguish a controlled trend run (Smooth) from a violent whipsaw (Chaotic) from a wide directionless thrash (Choppy) — all three of which can show identical ATR readings. That shape distinction is the core value this script adds, and it is the gap left by standard volatility and chop indicators.
🔶 Methodology
Engine layer (per bar):
• Volatility Level = ATR(volLen) / SMA(ATR, volLen * 3)
• Smoothness = StDev(|close − close |) / SMA(|close − close |) over volLen
• Direction = |sum(close − close )| / sum(|close − close |) over volLen
Classification layer maps the three readings into six mutually exclusive codes:
0 — Forming (warm-up / in-between space, no tint)
1 — Expansion · Smooth (high vol, low CV, directional)
2 — Expansion · Chaotic (high vol, high CV)
3 — Expansion · Choppy (high vol, low direction)
4 — Low-Vol · Drift (low vol, low CV, mild direction)
5 — Low-Vol · Dead (low vol, low CV, no direction)
Stability layer applies a configurable Confirmation Bars window so a new shape must persist for N consecutive bars before the chart commits to it. This prevents single-bar flicker. Between-state readings do not reset the current shape, they hold it — avoiding the classic "blink to neutral" problem of switch-based classifiers.
🔸 Signals & Alerts
Four alert conditions are published:
• Shape Shifted to Smooth Expansion
• Shape Shifted to Chaotic Expansion
• Shape Shifted to Choppy Expansion
• Shape Collapsed (any expansion state falling into low-vol Drift or Dead)
Alerts fire only on confirmed shape transitions and only on bar close, so repaint on the signal bar is not a concern.
🔹 Key Inputs
• Volatility Length — window for ATR, smoothness, and direction (default 20)
• Confirmation Bars — persistence requirement before committing to a new shape (default 3)
• Badge Cooldown — minimum bars between visible badges (default 15; tint updates continuously regardless)
• Panel Position / Size — six anchor points, four size presets
• Badge Font Size — four size presets
🔷 How to Use
• Use the SHAPE read as a setup filter, not as the signal itself. Smooth Expansion is where trend-following tools tend to perform well. Chaotic and Choppy Expansion are where they tend to fail even when the raw volatility reading looks attractive.
• The Drift state often precedes an expansion in the direction of the drift.
• The Dead state is a compression warning — a shape collapse alert from Expansion into Dead is a common precursor to a fresh expansion move in either direction.
• Pair with your own entry logic (structure, moving averages, volume). This tool answers "what kind of market am I in right now?" — it does not answer "where do I enter?"
🔶 Limitations & Transparency
• Thresholds (1.15x / 0.70x / 0.80 / 1.10 / 0.18) were tuned on crypto and FX data across 15m to 1D timeframes. Very illiquid instruments and very low timeframes (< 5m) may require a longer Volatility Length.
• Shape classification is inherently backward-looking (it reads the last volLen bars). It describes the character of recent volatility, not future volatility.
• The script is a context layer. It is not a strategy and should not be used in isolation for trade decisions.
• Past behavior of a shape does not guarantee future behavior.
🔸 Risk Disclosure
This indicator is an educational and analytical tool. It does not constitute financial advice, trade recommendations, or a signal service. All trading involves risk. You are solely responsible for your own trading decisions. Indicator
Kaufman Efficiency Ratio Gate [NovaLens]Kaufman Efficiency Ratio Gate is a regime classifier that separates trending markets from choppy ones. Instead of plotting a raw ratio and leaving you to interpret thresholds, it ranks the current Kaufman Efficiency Ratio within its own recent history and outputs a binary gate: trend-favorable or chop-dominant. Five timeframe-specific presets ship ready to use - pick the one matching your chart.
◉ HOW IT WORKS
The Efficiency Ratio measures how much of price's total movement was directional over N bars:
ER = |Close - Close(N)| / Σ|Close(i) - Close(i-1)|
A value near 1.0 means price moved in a straight line - maximum efficiency. A value near 0 means price covered distance but went nowhere net - noise. Perry Kaufman introduced this in "Trading Systems and Methods" (1995) as the foundation for his Adaptive Moving Average.
Raw ER values are hard to threshold because what counts as "efficient" varies by asset and timeframe. This gate solves that with a three-stage pipeline:
• Light EMA smoothing - removes single-bar noise from the raw ER without adding meaningful lag (Smoothing = 2 for most presets).
• Percentile rank - ranks the smoothed ER within its own rolling window. A reading at the 70th percentile means the current efficiency is higher than 70% of recent history. This is what makes the gate self-normalizing. A "trending" efficiency ratio for Gold might sit at 0.45, while for a volatile altcoin it might be 0.25 - the gate adjusts automatically to each asset's own baseline, so you never need to guess at fixed thresholds.
• Symmetric hysteresis - the gate opens when rank crosses above the median + Stability/2, and closes when rank drops below the median - Stability/2. This prevents flicker at the boundary. A small buffer (Stability = 2) is enough because KER is already a clean ratio.
Other regime tools approach this differently. ADX measures trend strength through smoothed directional movement - it tells you how strong a trend is, but its fixed scale means a reading of 25 carries different weight on different instruments. The Choppiness Index compresses ATR relative to the window's price range into a 0-100 scale - useful, but sensitive to window length and not inherently normalized. The Efficiency Ratio takes a more direct route: what fraction of total movement was net directional? And the percentile-rank layer on top makes that reading self-normalizing across any asset or timeframe - no manual threshold tuning required.
The result is a binary state: trend-favorable (gate open) or chop-dominant (gate closed).
◈ HOW TO READ IT
• Teal background / teal hero line - Gate open. The market's directional efficiency is above its recent median. Trend-following setups tend to perform better in this environment.
• Amber background / amber hero line - Gate closed. Efficiency is below the median - price is moving but not going anywhere. Trend-following setups historically tend to underperform in this environment.
• Bright teal (strong trend) - Smoothed KER is in the top 25% of its recent rank window. The trend is unusually clean - continuation setups tend to be cleaner in this state.
• Bright amber (strong chop) - Smoothed KER is in the bottom 25%. Noise is dominant - even range-bound strategies may find fewer clean entries. Generally a low-opportunity environment.
The info panel (top-right) shows the current gate state, smoothed KER value, percentile rank, and a momentum readout (strengthening / weakening / stable) based on how the rank has moved over the last few bars.
✦ HOW WE USE IT - REGIME FILTER
In systematic trading, the Efficiency Ratio often serves as one of the regime filters applied before a trend-following signal gets capital allocation. The idea is to confirm that the market is actually trending efficiently, not just moving.
When the gate is open (teal), directional efficiency is elevated. Pullback entries, breakout continuations, trend-following MA crosses - these setups tend to perform better because price is converting movement into net progress. When the gate closes (amber), the same setups historically tend to underperform. Price is volatile but going nowhere. In choppy regimes, trend-following systems generally struggle, and while mean reversion may be more favorable, it remains a harder environment to trade overall. Many systematic traders use this kind of regime awareness to reduce exposure or adjust position sizing rather than forcing directional bets.
The gate works well as a context overlay alongside other entry signals. It doesn't indicate which direction to trade, but it helps characterize whether the current environment is rewarding directional movement at all.
What the gate is NOT: a forward predictor. It classifies the recent past. A gate-open reading means efficiency has been high - it doesn't guarantee the next bar will trend. It's a filter, not a crystal ball.
◆ OTHER APPLICATIONS
• Entry filter - pair with any trend-following signal (MA cross, breakout, RSI) and add a gate-open condition. Filtering out chop regimes can help reduce whipsaw entries.
• Multi-timeframe confirmation - checking the gate on a higher timeframe before entering on a lower one can add confidence. For example, a Daily gate-open reading alongside a 4H trend entry.
• Regime-aware sizing - some traders scale position size with regime state, increasing exposure during gate-open periods and reducing it when the gate closes.
• Alert-driven workflow - set alerts on gate open/close transitions and check your trend setups only when the gate fires.
⚙ SETTINGS
Preset (default: Daily) - Timeframe-specific parameter bundles. Select the one matching your chart resolution:
• Weekly - KER 10, Smoothing 2, Rank Window 100, Stability 2. Long context window for position traders.
• Daily - KER 8, Smoothing 2, Rank Window 50, Stability 2. The default. Works well on most daily charts.
• 8H - KER 8, Smoothing 2, Rank Window 50, Stability 2. Starting point same as Daily - validate on your own 8H charts.
• 4H - KER 14, Smoothing 2, Rank Window 30, Stability 2. Wider KER period compensates for noisier intraday data.
• 30m - KER 5, Smoothing 5, Rank Window 30, Stability 2. Short KER period with heavier smoothing for fast charts.
• Custom - Drive the gate from the four inputs below.
KER Period - Lookback for the raw Efficiency Ratio. Shorter (5-8) reacts faster to regime changes. Longer (14-20) gives more stable readings but lags transitions.
Smoothing - EMA applied to the raw KER. Set to 1 for no smoothing. KER is self-normalizing by construction, so low values (1-5) are usually enough.
Rank Window - Rolling window for the percentile rank. Controls how much recent history defines "typical." Shorter windows adapt faster; longer windows give more stable context.
Stability - Hysteresis half-width around the 50th percentile. At 0, the gate flips the instant rank crosses the median. At higher values, the gate requires a stronger signal to switch state. Low values (2-5) work well since KER is already a clean signal.
Display toggles:
• Show Raw KER - thin white line showing the unsmoothed ratio
• Show Median - 50th-percentile reference line on the smoothed KER
• Show Background - teal/amber background wash (turn off if your workspace already signals the regime elsewhere)
• Show Info Panel - gate state, KER, rank, and momentum readout
• Light Theme - flips panel colours for light chart backgrounds
△ LIMITATIONS
• Backward-looking - the gate classifies recent efficiency, not future direction. Regimes can shift faster than the rank window catches, especially around news events.
• Directionless - both strong uptrends and strong downtrends produce gate-open readings. A separate directional indicator is needed to determine which side to trade.
• Noise on thin instruments - short KER periods on low-volume assets can produce noisy readings even with smoothing.
• History requirement - percentile rank needs sufficient data to be meaningful. The first ~50-100 bars on any chart (depending on preset) will have unstable rankings.
⌁ NOTES
• Based on Perry Kaufman's Efficiency Ratio from "Trading Systems and Methods" (1995)
• Cross-validated against our PyneCore Python reference implementation.
• Parameters were tuned on gold (XAUUSD) via the NovaLens research pipeline. The same presets generalize reasonably to other assets - though testing on your own instruments is always recommended.
• Regime palette: teal = trend-favorable, amber = chop-dominant. Not green/red - this is a state classifier, not a directional signal.
If you find a Custom parameter set that works well on a different instrument, the comments are a good place to share it. Indicator
Indicator
Hidden Markov Model Market Regimes [LuxAlgo]The Hidden Markov Model Market Regimes indicator uses a mathematical framework to identify whether the current market environment is in a Trending or Ranging state. By analyzing log returns and volatility through a Hidden Markov Model (HMM) approach, the tool provides real-time probability estimates for each regime to help traders adapt their strategies to changing market conditions.
🔶 USAGE
The indicator is displayed in a separate pane below the price chart, showing two oscillating lines representing the probability (0% to 100%) of the market being in a "Trending" or "Ranging" regime.
Trending Regime (Blue): High values indicate a directional market with expanding volatility and persistent returns.
Ranging Regime (Gray): High values indicate a mean-reverting environment with lower volatility and compressed price action.
Neutral Zone: When both lines are near the 50% level, the model is uncertain about the current regime, suggesting a potential transition.
Traders can use these regimes to filter signals: trend-following strategies (like moving average crosses) typically perform better when the Trending probability is high, while mean-reversion strategies (like oscillators) are often more effective during high Ranging probability periods.
🔶 DETAILS
The script implements a simplified version of the HMM Forward Algorithm to estimate "hidden" market states from observable price data.
🔹 Observation Data
The model processes two main inputs:
Log Returns: Used to detect directional movement and momentum.
Volatility: Calculated via standard deviation to differentiate between high-activity trends and low-activity ranges.
🔹 The Forward Algorithm
The indicator calculates "Emission Likelihoods" based on Gaussian heuristics. It assumes that a Ranging state is characterized by low volatility and returns near zero, while a Trending state is characterized by higher volatility and significant price displacement.
The algorithm then combines these likelihoods with the "Transition Matrix" (which assumes regimes tend to persist over time) to calculate the posterior probability of each state. The Learning Rate setting determines how much weight is given to the newest bar's data versus the previous state's probability.
🔶 SETTINGS
🔹 HMM Settings
Lookback Period: Determines the window used to calculate mean returns and volatility benchmarks. A longer lookback provides more stable regime detection, while a shorter lookback is more reactive.
Learning Rate: Controls the sensitivity of the probability updates. A higher value makes the indicator switch between regimes faster, while a lower value filters out market noise.
🔹 Dashboard
Enable Dashboard: Toggles the visibility of the on-screen information table.
Position: Moves the dashboard to different corners of the chart (Top Right, Bottom Right, or Bottom Left).
Size: Adjusts the scale of the dashboard text and cells.
Indicator
Indicator
Session Auction State Engine (SASE) Summary in one paragraph
Session Auction State Engine (SASE) is a session context indicator for liquid futures, FX, equities, and crypto on intraday to daily timeframes. It classifies the current session into one of four auction regimes, Balanced, Early trend, Trend continuation, or Failed auction, so you act only when multiple acceptance and expansion conditions align. It is original because it outputs a single interpretable auction state, not buy and sell signals, by combining time acceptance, range expansion, and return to value logic into a compact dashboard. Add it to a clean chart, read the table for Action and permissions, and use the optional markers and bands for quick visual context. Shapes can move while the bar is open and settle on close, for conservative workflows use alerts on bar close.
Scope and intent
• Markets. Major index futures, major FX pairs, large cap equities, liquid crypto
• Timeframes. 1 minute to daily
• Default demo used in the publication. ES1! on 5 minute
• Purpose. Prevent premature directional decisions by forcing regime confirmation before direction is considered actionable
• Limits. Indicator only. No backtest, no execution, no performance claims
Originality and usefulness
This is not a mashup of common indicators. It is a session auction classifier with an explicit decision hierarchy.
• Unique concept or fusion. A regime engine that gates trading by session auction state using Initial Balance, value acceptance, expansion, and return to value confirmation
• What failure mode it addresses. False starts in chop, early breakouts that never gain acceptance, and trend chasing inside balanced sessions
• Testability. Inputs expose each component and the table shows the state, direction, and pass or fail checklist so users can verify why a state appears and tune thresholds
• Portable yardstick. Expansion is normalized by an expected range unit (ATR based), so thresholds scale across symbols with different point values
Method overview in plain language
SASE runs inside a user defined session window. It builds an Initial Balance (IB), then evaluates whether the market is accepting prices outside value and outside IB, whether the session is expanding beyond IB, and whether price returns to value after a failed excursion.
Base measures
• Range basis. Value width is ATR of the chart timeframe over the Width ATR length, multiplied by Width ATR multiplier
• Normalization basis. Expected range is ATR, either daily or intraday based on Expected range mode, used to normalize session extension
Components
• Initial Balance (IB). High and low during the first IB minutes of the session. IB defines the first acceptance boundary
• Value anchor. A session anchored VWAP or TWAP (or auto) used as a value center
• Value width. ATR based band around value used to measure inside value and outside value
• Acceptance. Two acceptance channels are tracked, closes outside value in the breakout direction and closes outside IB in the breakout direction. An EMA plus a short streak score turns this into an acceptance strength metric
• Extension. Maximum distance beyond IB, normalized by expected range, measures range expansion
• Balance. An EMA of time spent inside the value band measures how rotational versus directional the session is
• Failed auction. Requires a real excursion outside value first, then a sustained return inside value, plus an acceptance collapse and a rebalance increase, optionally requiring price to be back inside IB
Fusion rule
SASE outputs exactly one state per bar inside the session.
• Balanced. No confirmed breakout from IB, or conditions indicate rotational trade, high balance, low acceptance, low extension
• Early trend. Breakout exists, but trend continuation checklist is not complete yet
• Trend continuation. All trend gates pass at once: enough time since breakout, acceptance above threshold, extension above threshold, and balance below threshold
• Failed auction. After an excursion outside value, price returns and holds inside value while acceptance collapses and balance rises, optionally requiring price back inside IB
Signal rule
This script does not issue trade signals. It outputs context.
• Direction is shown only when state is not Balanced
• The dashboard shows a Trend checklist (T, A, E). Trend continuation requires T pass, A pass, and E pass
• Early trend indicates direction may be forming but confirmation is incomplete
• Failed auction indicates the prior directional attempt was rejected and mean reversion conditions are stronger
What you will see on the chart
• Optional markers. Key markers appear on state transitions, typically when Trend continuation or Failed auction begins, depending on the Markers setting
• Optional reference levels. IB high and IB low lines, and value center plus value bands
• Optional background and bar color. Off by default for chart cleanliness
• Compact dashboard. A table showing state, direction, Action, permissions, IB progress, checklist, and component gauges
Table fields and quick reading guide
• State badge. Current auction state
• Direction. Up or Down when state is not Balanced, otherwise None
• Action. Plain language instruction for the current state
• Use. Two permissions, Trend and MeanRev, shown as ON or OFF
• IB. Progress and status, Wait until Complete
• Trend. Ready percent plus checklist T, A, E
• Accept. Acceptance strength and whether it meets the trend threshold
• Extend. Extension strength and whether it meets the trend threshold
• Balance. Balance score and whether it is low enough for trend continuation
• Fail. Excursion and return to value progress when relevant
Reading tip. Trend continuation is only intended when T, A, and E are all passing. If Balanced, do not force direction.
Inputs with guidance
Setup
• Session. Defines when the engine is active. Verify timezone and hours when changing symbol or venue
• Session timezone. Exchange or a named timezone
• Show last session snapshot when closed. When enabled, the table displays the last in session state after the session ends
Logic
• IB minutes. Typical 30 to 90. Higher reduces noise but delays classification
• Value anchor. Auto is recommended. VWAP requires reliable volume, TWAP is volume agnostic
• Value reference. Freeze at IB reduces value drift and makes acceptance and failed auction logic more stable
• Width ATR length. Typical 14 to 30. Higher smooths value width
• Width ATR multiplier. Typical 0.5 to 1.2. Higher widens value and increases Balanced time
• Breakout buffer as width fraction. Typical 0.1 to 0.4. Higher requires cleaner breakouts
• Acceptance EMA length. Typical 20 to 60. Higher reduces flicker
• Acceptance streak bars. Typical 4 to 10. Higher requires sustained acceptance
• Early trend acceptance threshold. Typical 0.25 to 0.45
• Trend continuation acceptance threshold. Typical 0.45 to 0.70
• Balance EMA length. Typical 30 to 80
• Trend continuation max balance. Typical 0.30 to 0.55. Lower makes trend continuation stricter
• Balanced min balance. Typical 0.55 to 0.80
• Trend continuation min bars since breakout. Typical 10 to 30
• Extension thresholds. Early 0.10 to 0.25, Trend 0.20 to 0.50, in expected range units
• Failed auction window bars. Typical 15 to 40. Larger windows require more sustained rejection
• Failed auction thresholds. Acceptance max 0.10 to 0.30, Balance min 0.55 to 0.80
• State change confirm bars. Typical 1 to 4
• Return to Balanced confirm bars. Typical 4 to 12
• Minimum bars to keep non Balanced state. Typical 6 to 20, increases stability
UI
• Theme. Dark or Light
• Dashboard position. Corner selection
• Markers. Off, Key only, or All changes
• Background tint and bar color. Off by default to keep charts readable
• Show IB lines and Show value bands. Off by default, enable for learning or debugging
Usage recipes
Intraday trend focus
• IB minutes 60
• Value reference Freeze at IB
• Breakout buffer 0.25
• Trend confirm bars 18
• Accept trend threshold 0.55
• Extend trend threshold 0.30
• Trend max balance 0.40
Goal. Trade only when Trend continuation is active and checklist is fully passing
Intraday mean reversion focus
• IB minutes 30 to 60
• Value reference Freeze at IB
• Wider value width, raise Width ATR multiplier to 0.9 to 1.2
• Raise Balanced min balance to 0.70
• Keep Markers on Key only
Goal. Focus on Balanced and Failed auction states, avoid early trend and trend continuation trades
Swing continuation
• Use 60 minute or 240 minute chart
• Expected range mode Daily ATR
• Trend confirm bars 12 to 30 depending on timeframe
• Raise Width ATR length to 30
Goal. Use Trend continuation as a higher level regime gate, then use your own entry timing tool inside that regime
Realism and responsible publication
• No performance claims. Past results never guarantee future outcomes
• Intrabar motion reminder. Shapes and table values can update while a bar forms and settle on close
• Session windows use the chart exchange time unless you override timezone. Verify hours when changing symbol or venue
Honest limitations and failure modes
• News releases and liquidity gaps can break normal auction behavior and can trigger rapid state transitions
• Symbols with unreliable volume may work better using TWAP or Auto rather than VWAP only
• Very quiet regimes can reduce contrast between Balanced and Early trend, consider longer windows or higher thresholds
• Non standard chart types can distort session and IB calculations, use standard candles for evaluation
Open source reuse and credits
None
Legal
Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs in any external testing workflow. Indicator
Market Efficiency Ratio [Interakktive]The Market Efficiency Ratio decomposes price movement into two components: net progress vs wasted movement. This tool exposes the underlying math that most traders never see, helping you understand when price is moving efficiently versus chopping sideways.
Unlike simple trend indicators, this shows you WHY price movement matters — not just whether it's up or down, but how much of that movement was useful directional progress versus noisy oscillation.
█ WHAT IT DOES
• Calculates Efficiency Ratio (0–1 or 0–100) measuring directional progress
• Exposes Net Displacement (how far price actually moved)
• Exposes Path Length (total distance price traveled)
• Calculates Chop Cost (wasted movement)
• Visual zones for high/mid/low efficiency states
█ WHAT IT DOES NOT DO
• NO signals, NO entries/exits, NO buy/sell
• NO performance claims
• NO predictions — purely diagnostic
• This is a tool for understanding price behavior
█ HOW IT WORKS
The efficiency ratio answers one question: "Of all the movement price made, how much was useful progress?"
🔹 THE MATH
Over a lookback period of N bars:
Net Displacement = |Close - Close |
Path Length = Σ |Close - Close | for all bars
Efficiency Ratio = Net Displacement / Path Length
🔹 INTERPRETATION
• Efficiency = 1.0 (100%): Price moved in a straight line — every tick was progress
• Efficiency = 0.5 (50%): Half the movement was wasted in back-and-forth chop
• Efficiency = 0.0 (0%): Price ended exactly where it started — all movement was noise
🔹 CHOP COST
This is the "wasted movement" — how much price traveled without making progress:
Chop Cost = Path Length - Net Displacement
Chop % = Chop Cost / Path Length
High chop cost means lots of effort for little result — a warning sign for trend traders.
█ VISUAL GUIDE
Three efficiency zones:
• GREEN (≥70): High efficiency — strong directional movement
• YELLOW (30-70): Mixed efficiency — some progress, some chop
• RED (<30): Low efficiency — mostly noise, little progress
█ INPUTS
Lookback Length (default: 14)
Number of bars to calculate efficiency over. Higher values produce smoother readings but respond slower to changes.
Smoothing Length (default: 5)
EMA smoothing applied to the output. Reduces noise in the efficiency reading.
Apply Smoothing (default: true)
Toggle EMA smoothing on/off.
Scale Mode (default: 0–100)
Display as percentage (0-100) or decimal ratio (0-1).
Show Reference Bands (default: true)
Display the high/low efficiency threshold lines.
Low/High Efficiency Level (default: 30/70)
Thresholds for classifying efficiency zones.
Overlay Effect (default: None)
• None: No overlay
• Background Tint: Subtle chart background color in high/low zones
• Bar Highlight: Color bars during low efficiency periods
Show Data Window Values (default: true)
Export all raw values (Net Displacement, Path Length, Efficiency, Chop Cost, Chop %) to the data window for analysis.
█ USE CASES
This indicator helps traders understand:
• Why some trends are "clean" and others are "messy"
• When price is consolidating vs trending (without using volume)
• The relationship between movement and progress
• Why high-chop environments are difficult to trade
This is the foundational concept behind more advanced regime detection systems.
█ SUITABLE MARKETS
Works on: Stocks, Futures, Forex, Crypto
Timeframes: All timeframes
Note: This is a price-only indicator — no volume required
█ DISCLAIMER
This indicator is for informational and educational purposes only. It does not constitute financial advice. It does not generate trading signals. Past performance does not guarantee future results. Always conduct your own analysis.
Indicator
Katalyst's Opening Range BreakoutKatalyst's Opening Range Breakout + No Trade Zone
📜 Overview:
This indicator allows traders to visualize the high and low of the opening range for a user-selected timeframe (e.g., 30s, 1m, 5m, 15m). It features fully customizable lines, labels, and an optional **No Trade Zone** fill to help you identify breakout levels with ease.
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🎯 Key Features:
1. **Customizable Opening Range**:
- Select your preferred opening range duration: **30 seconds, 1 minute, 2 minutes, 5 minutes, 10 minutes, or 15 minutes**.
- The indicator calculates and plots the **high** and **low** of the selected opening range.
2. **Dynamic Line Styling**:
- Choose the **line color**, **transparency**, and **style**: **Solid, Dashed, or Dotted**.
- Lines extend to the right of the chart for clarity.
3. **No Trade Zone** *(Optional / Disabled by default)*:
- When enabled, fills the area between the high and low lines with a customizable **color and transparency**.
- Helps visually identify consolidation areas where trading might be avoided.
4. **Labels for Precision**:
- Clearly displays the **Opening Range High** and **Low** values.
- Labels are color-coded and positioned dynamically for easy interpretation.
5. **Clean and Efficient Updates**:
- The indicator deletes old lines, labels, and fills before creating new ones, ensuring a clutter-free chart.
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⚙️ How to Use:
1. **Select Your Timeframe**:
- From the settings, choose your desired opening range duration: 30s, 1m, 2m, 5m, 10m, or 15m.
2. **Customize the Visuals**:
- Adjust line color, style, and transparency.
- Enable the **No Trade Zone** for a transparent background fill between the high and low lines.
3. **Interpret the Breakout**:
- Watch for price movements above or below the **opening range** to identify potential breakout opportunities.
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🛠 Settings:
Opening Range Duration: Select the timeframe for the opening range (30s, 1m, 2m, 5m, 10m, 15m).
Line Color: Set the color of the range lines.
Line Transparency: Adjust the transparency of the lines (0 = solid, 100 = invisible).
Line Style: Choose line style: Solid, Dashed, or Dotted.
Label Colors: Customize the label colors for the high and low values.
Enable No Trade Zone: Fill the area between high and low lines with a transparent color.
No Trade Zone Color: Set the fill color for the no trade zone.
No Trade Zone Transparency: Adjust the transparency of the no trade zone fill.
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📈 Ideal For
Day traders and scalpers looking to trade **breakouts**.
Traders who want to identify areas of consolidation visually.
Anyone who relies on the **opening range** for their trading strategy.
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🔍 Example Usage:
Set the opening range to **5 minutes** and enable the **No Trade Zone** with a light red fill.
Watch for price to break above or below the high/low lines to signal potential trade opportunities.
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✨ Why Use This Indicator?
This script simplifies your breakout strategy by providing a clear, visually appealing representation of the opening range. The flexible customization options and the optional **No Trade Zone** make it a powerful tool for identifying high-probability trades.
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Let me know if you need any additional tweaks or clarifications for this description. It's all set to help traders understand and use your powerful script! 🚀📈
Indicator
ATR, Chop, Profit Target and Stop Loss TableThe ATR Table indicator is a versatile tool that helps traders visually and quantitatively manage risk, identify market conditions, and set profit targets and stop-loss levels. It is designed to enhance decision-making by incorporating key volatility and chop (market consolidation) signals into a comprehensive table format.
Key Features:
Average True Range (ATR) Calculation : The indicator computes the ATR over a user-defined period (default 14). ATR helps to measure market volatility, providing insights into how much an asset's price typically moves within a given period.
Stop Loss and Profit Target Calculation : You can configure stop-loss and profit target levels using multipliers based on the ATR. This allows dynamic risk management that adjusts to market volatility:
Stop Loss : Defined as a multiple of the ATR to help control losses.
Profit Target : Also based on a multiple of the ATR to lock in gains. The user can specify whether they are trading long or short, and the indicator adjusts the levels accordingly.
Customizable Plot Lines : The indicator can display the Stop Loss and Profit Target levels directly on the chart. Users can toggle these lines on or off and customize their colors.
Chop Signa l: The indicator highlights potential consolidation periods (chop) using a wick-based analysis. It calculates the highest upper or lower wick values and compares them to the ATR to detect periods of indecision or consolidation.
Table Display : When these wick values exceed the ATR by a user-defined multiplier, the corresponding table rows are highlighted.
Background Alerts : Optionally, users can activate background color changes on the chart to visually alert them when chop conditions are detected.
Customizable Table Layout : A table displaying the key values (ATR, Stop Loss, Profit Target, Upper/Lower Wickiness) is placed on the chart. You can choose the table's position, adjust its color scheme, and decide which rows to display.
Chop Background Customization : For users who prefer more visual cues, the indicator allows you to enable or disable background shading when chop conditions are met. You can also choose the color of this background for better customization. Indicator
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Blockunity Regime Monitoring (BRM)Efficiently analyze market conditions and detect overheating zones.
Regime Monitoring (BRM) is here to help you analyze the behavior of financial markets. The oscillator allows you to observe when an asset’s trend is likely to reverse. The trend is also given by the indicator, as is the phase the market is in (trending or congested). The BRM also provides the state of the Choppiness Index, indicating whether or not the asset is about to enter a more volatile phase.
The Idea
The goal is to provide the community with a comprehensive tool for tracking market conditions, with a visual approach to identifying overheating zones.
How to Use
This tool consists of 3 main components:
An oscillator, which we describe in detail below.
Bar color to transcribe oscillator information directly onto the graph. To activate Bar Color, make sure the first option is checked in the settings. You must also uncheck "Borders" and "Wick" in your Chart Settings.
A panel that summarizes the status of various indicator information.
Elements
The Regime Monitoring oscillator
The oscillator provides several information points. First, it gives the market trend of the asset:
Green: Bullish trend.
Red: Bearish trend.
Blue: Contested trend.
It then indicates areas of overheating, where it is considered statistically probable that we will see a change in trend dynamics. These moments are shown in yellow.
This market trend is also indicated in the table.
If you see that the oscillator is above or below these limits, but not yellow, this is because we use a Choppiness Index to filter this information.
The "Enable Choppiness Index Filter" is enabled by default in the settings. So, if the Chop is discharged (under 38.2), then the oscillator's overheating state is ignored.
You can see the difference in the images below, the first with the filter and the other without:
Market Phase
We use a Vertical Horizontal Filter (VHF) to define the market phase the asset is in. This phase can have two values:
Trending: Assets evolve within a trend.
Congestion: The asset is in a moment of congestion.
Chop State
Visualize the Choppiness Index, indicating whether an asset is gearing up to enter a phase of increased volatility. It can be:
Charged: Chop is considered to indicate to be entering a stable phase.
Neutral: Chop is neutral and does not provide any specific information.
Discharged: Chop is considered to indicate a continuation of the trend.
In addition, with the "Show Choppiness Index" option, you can plot the Chop on the oscillator:
Other Settings
You can also modify the standard Regime Monitoring parameters (Lookback, Smoothing, Limits), display or hide certain components, and change all the colors.
How it Works
Regime Monitoring's main oscillator is established as follows:
We calculate the percentage of times the closing price was higher than the opening price. This is then divided by a lookback period, which in this case defaults to 20. This calculation gives a probability of the current regime. Indicator
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Local Model Kalman Market ModeIntroduction
Heyo guys, I made a new (repainting) indicator called Local Model Kalman Market Mode.
I created it, because I wanted a reliable market mode filter for a potential mean-reversion strategy (e. g. BB Scalping).
On the screenshot you can see an example of how to use it in a BB strategy.
E.g. you would enter long when you have bullish divergence, price is under lower BB, price is under PoC and this indicator here shows range-bound market phase.
You would exit long on cross of the middle band.
Description
The indicator attempts to model the underlying market using different local models (i.e., trending, range-bound, and choppy) and combines them using the T3 Six Pole Kalman Filter to generate an overall estimate of the market.
The Fisher Transform is applied on the price to reach a Gaussian distribution, which increases the accuracy of the indicator itself.
The script first defines state variables for each local model, which include trend direction, trend strength, upper and lower bounds of the range, volatility of the range, level of choppiness, and strength of noise.
Then, likelihood functions are defined for each local model based on the state variables.
Next, the script calculates weights for each local model based on their likelihoods and uses them to calculate state variables for the overall estimate.
Finally, the script combines the state variables using the T3 Six Pole Kalman Filter to generate the overall estimate of the market, which is plotted in blue.
Fundamental Knowledge
To understand the explanation of the indicator and the script, there are a few fundamental concepts that you need to know:
Market: A market is a place where buyers and sellers come together to exchange goods or services.
In the context of trading, the market refers to the exchange where financial instruments such as stocks, currencies, and commodities are bought and sold.
Local models: Local models are statistical models that attempt to capture the characteristics of a particular market regime.
For example, a trending market may have different characteristics than a range-bound market or a choppy market.
The indicator uses different local models to capture the different market regimes.
Trend direction and strength: The trend direction refers to the direction in which the market is moving, either up or down.
The trend strength refers to the magnitude of the trend and how likely it is to continue.
Range-bound market: A range-bound market is a market where prices are trading within a specific range, with a clear upper and lower bound.
Choppiness: Choppiness refers to the degree of irregularity in price movements, often seen in sideways or range-bound markets.
Volatility: Volatility refers to the degree of variation in the price of an asset over time. High volatility implies larger price swings, while low volatility implies smaller price swings.
Kalman filter: A Kalman filter is a mathematical algorithm used to estimate an unknown variable from a series of noisy measurements.
In the context of the indicator, the Kalman filter is used to generate an overall estimate of the market by combining the local models.
T3 Six Pole Kalman Filter: The T3 Six Pole Kalman Filter is a specific type of Kalman filter that is used to smooth and filter time-series data, such as the price data of a financial instrument.
Fisher Transform: The Fisher Transform is a mathematical formula used to transform any probability distribution into a Gaussian normal distribution. It is commonly used in technical analysis to transform non-Gaussian indicators into ones that are more suitable for statistical analysis.
By understanding these fundamental concepts, you should have a basic understanding of how the indicator works and how it generates an overall estimate of the market.
Usage
You can use this indicator on every timeframe.
Users can customize the parameters of the T3 Six Pole Kalman Filter (T3 length, alpha, beta, gamma, and delta) using input functions.
Try out different parameter combinations and use the one you like most.
Thank you for checking this out. Leave me a comment or boost the script, when you wanna support me! 👌
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Credits to:
▪@HPotter - Fisher Transform
▪@loxx - T3
▪ChatGPT - Helped me to make the research for this indicator and helped to build the core algorithm. Indicator
RedK Chop & Breakout Scout (C&B_Scout)The RedK Chop & Breakout Scout (C&BS or just CBS) is a centered oscillator that helps traders identify when the price is in a chop zone, where it's recommended to avoid trading or exit existing trades - and helps identify (good & tradeable) price breakouts.
i receive many questions asking for simple ways to identify chops .. Here's one way we can do that.
(This is work in progress - i was exploring with the idea, and wasn't sure how interesting other may find it. )
Quick Intro:
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Quick techno piece: This concept is similar to a Stochastic Oscillator - with the main difference being that we're utilizing units of ATR (instead of a channel width) to calculate the main indicator line - which will then lead to a non-restricted oscillator (rather than a +/- 100%) - given that ATR changes with the underlying and the timeframe, among other variables.
to make this easy, and avoid a lot of technical speak in the next part, :) i created (on the top price panel) the same setup that the C&B Scout represents as a lower-panel indicator.
So as you read below, please look back and compare what C&BS is doing in its lower panel, with how the price is behaving on the price chart.
how this works
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- To identify chops and breakouts, we need to first agree on a definition that we will use for these terms.
- for the sake of this exercise, let's agree that the price is in a chop zone, as long as the price is moving within a certain distance from a "price baseline" of choice ( which we can adjust based on the underlying, the volatility, the timeframe, the trading style..etc)
- when the price moves out of that chop zone, we consider this a breakout
- Now not all breakouts are "good" = they need to at least happen in the direction of the longer term trend. In this case, we can apply a long Moving Average to act as a filter - and consider breakouts to be "good" if they are in the same direction as the filter line
- With the above background in mind, we establish a price baseline (as you see on the top panel, this is based on the midline of a Donchian Channel - but we can use other slow moving averages in future versions)
- we will decide how far above/below that baseline is considered to be "chop zone" - we do this in terms of units of Average True Range (ATR) - using ATR here is valuable for so many reasons, most of all, how it adjusts to timeframe and volatility of underlying.
- The C&B Scout line simply calculates how far the price is above/below the baseline in terms of "ATR units". and shows how that value compares to our own definition of a "chop zone"
- so as long as the price is within the chop zone, the CBS line will be inside the shaded area - and when the price "breaks out" of the chop zone, the CBS line will also breakout (or down) from the chop zone.
- C&B Scout will give a visual clue to help take trades in the direction of the prevailing trend - the chop zone is green when the price is in "long mode", as in, the price is above the filter line - and will be red when we are in "short mode" - so the price is below the filter line. in green mode, we should only consider breakouts to the upside, and ignore breakouts to the downside (or breakdowns) - in red mode, we should only consider breakouts to the downside., and ignore the ones to the upside.
- i added some examples of "key actions" on the chart to help explain the approach here further.
Usage & settings Notes:
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- even though for many traders this will be a basic concept/setup, i still highly suggest you spend time getting used to how it works/reacts and adjusting the settings to suit your own trading style, timeframe, tolerance, what you trade....etc
- for example, if i am a conservative trader, i may consider any price movement within 1 x ATR above and below the baseline to be in "chop" (ATR Channel width = 2 x ATR) - and i want to only take trades when the price moves outside of that range *and* in the direction of the prevailing trend
- An aggressive trader may use a smaller ATR-based value, say 0.5 x ATR above/below the baseline, as their chop zone.
- A swing trader may use a shorter filter line and focus on the CBS line crossing the 0 line.
- .... and so on.
- Also note that the "tradeable" signal is when the CBS line "exits" the chop zone (upward on green background, or downward on red background) - however, an aggressive trader may take the crossing of the CBS line with the 0 line as the signal to open a trade.
- As usual please do not use this indicator "in isolation" and ensure you have other confirming signals from your setups before trading.
conclusion
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As i mentioned, this is really a simple concept - and i'm a big fan of those :) -- and there's so much that could be done to expand around it (add more visuals/colors, add alerts, add options for ATR calculation, Filter line calculations, baseline..etc) - but with this v1.0, i wanted to share this initially and see how much interest and how valuable fellow traders find it, before playing any further with it. so please be generous with your comments.
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CHOPORSI
CHOPORSI is a multiindicator.
This indicator help You to recognize potential in or out singal.
Base singals are from Choppines, RSI, AND DMI indicators.
It is a combination of 3 separate indicators like choppines RSI and DMI.
Then our new indicator see like bellow on next image.
Yellow line is sum of CHOP index and RSI , in this case we can say its a CHOPORSI Index.
Green line is DMI- line , this show us strength of sell position on the market.
We schould use other signals, like LSMA 50/100 to improve trend changing. Like on next picture.
Now how this indicator works?
Yellow line is the sum oF Chop and RSI value - 50.
Max and minimum value of CHOP and RSI are the same from 0 to 100.
We have sum of them.
Our minimum signal is 0+0-50=-50
maximum signal is 100+100-50= 150
Most times if both of tem are on top level ( then we have 150) the trend is chanhing from bullish to bearish.
The same way if the RSI ist on 0 and chop is over 50 ( then we have index 0 ) wee changing the tren from bearish to bullish.
Off course it not every time. We see other signals, to take our risk self not sugested by some art of indicators.
But if we are abowe topline, witch is set to 85 we can sey, we have have oversold signal.
Underline 30 isour potentialy buy signal.
Midrange 50 is mostly trand changin line.
This valu of top, mid bottom line you can change on the setting.
Every Coin have another level of this lines, and need to be checked individual to the coin.
Standard, settings are set fo timeframe : 12 min. 24 min, 1H and 4 H >
Blue crosses signalize possibilities trend changing.
This picture shou us how this indicator works.
Buy long signal : If yellow line is mostly at the bottom and green mostly on the top.
Sell long signal l. Yellow -top , green -bottom.
The Green line is from Directional Movement Index and is - DI line. Its show us selling trend. even higher position then mor sell of .
Standard value of CHOPPINES is 14 , works fin on 1H and abowe also wit the value of 28
Standard value for RSI AND -DI unchanging 14.
I tjink this is a simplu helpfull indycator.
WARNING!!! IF YOU AT THIS POINT CANT UNDERSUD THIS INDICATOR, PLEASE DONT USE THEM .
Signal, schould be confirmed with other indicators like MA, EMA even better with LSMA .
Please try it an make only paper trading, to undertand how its realy works.
Thank You!
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