RTI Trend State + MacroCoverRTI Trend State + MacroCover
A trend-state oscillator built on the Relative Trend Index (RTI) — a stochastic-position measure of where price sits inside its recent high/low range, then EMA-smoothed:
raw = 100 * (close - lowest(low, n)) / (highest(high, n) - lowest(low, n))
RTI = EMA(raw, smooth) -> a 0-100 line
How the state works
The 0-100 RTI is converted into a persistent LONG / FLAT / SHORT state through a hysteresis band , so it does not flip on noise around the mid-line:
RTI above the upper band -> LONG
RTI below the lower band -> SHORT
in between -> holds the last state
The gap between the two bands is the hysteresis — widen it for fewer, steadier flips; narrow it for a more reactive read.
MacroCover (optional long bias)
When the state would be SHORT but price trades above a slow EMA (default 200), the short is covered to FLAT — i.e. it won't fight the higher-timeframe uptrend. Turn MacroCover off for a symmetric long/short reading.
On the chart
The RTI line (0-100) colored by state: green long, red short, gray flat.
Dashed upper/lower bands and a dotted mid-line.
State background tint and flip markers where the state changes.
A compact table with the current RTI value, state and macro side.
The RTI value plus state_-1_0_1 and ema_macro are available in the Data Window for tooltips and cross-checks.
Inputs
RTI engine — Lookback n (30), EMA smoothing (3), upper/lower bands (55 / 45).
MacroCover — on/off and macro EMA length (200).
Timeframe — use the chart timeframe, or lock the calculation to a fixed resolution.
Visual — toggle the state background, flip markers and table.
Notes
Works on any symbol and any timeframe.
Non-repainting : values are computed on confirmed bars, and the optional higher-timeframe request uses lookahead_off.
This is a discretionary / confluence tool, not financial advice or a complete trading system.
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Breakout & Retest Entry Signals & the Break-vs-RetestOVERVIEW
"Wait for the retest" is the most repeated piece of advice in breakout trading. It is also, as far as I can tell, completely untested by the people who repeat it.
This tool settles it — on your instrument, with your settings — by taking BOTH entries on the SAME breaks and grading them against the same control:
PER-TRADE EDGE expectancy vs control · n
Break entry +0.09R +0.02R · n=412
Retest — CLEAN +0.31R +0.02R · n=118
Retest — DEEP -0.04R +0.02R · n=76
clean vs deep (t) 3.41 CLEAN IS BETTER
BUT — HOW OFTEN DO YOU GET IT?
Breaks that ever retested 47.0% (194/412)
after a run of >3 closes 31.2% vs 55.8% otherwise
False-break rate 13.3%
EXPECTED VALUE PER BREAK
Take every break +0.09R (100% of breaks)
Wait for the retest +0.06R (47% of breaks)
VERDICT NO DIFFERENCE — pick either
That last block is the entire point. A better per-trade edge is worthless if you only get the trade half the time — so the WAIT policy is scored as P(retest) x E , because on every break that never retests you get NOTHING. The two are then compared with a significance test, and the verdict is allowed to be "no difference".
It is a research and framing tool. NOT a strategy, NOT a signal service, NOT a validated edge.
WHAT IT ALREADY FOUND — measured live on NIFTY futures
timeframe breaks retested false breaks verdict
1m 334 49.4% 29.6% NO DIFFERENCE
3m 323 53.3% 13.6% NO DIFFERENCE
5m 328 53.4% 14.0% NO DIFFERENCE
15m 306 51.0% 12.7% TAKE THE BREAK
1h 274 50.0% 16.4% NO DIFFERENCE
TWO THINGS JUMP OUT.
The retest rate is 50-53% on every timeframe. Bulkowski, measuring throwbacks across 10,348 chart patterns on US daily stocks, found 50-60%. A completely different market, a completely different method, and the same number. That is a real phenomenon, not an artefact of the detector.
The false-break rate is 26.5% on the 1m and 13-15% everywhere else. THE ONE-MINUTE BREAK IS TWICE AS LIKELY TO BE A LIE. That is not folklore, it is this instrument's own number, and it is exactly the kind of thing a trader should know before choosing a timeframe.
And the verdict, on four of the five: NO DIFFERENCE — pick either. Once the geometry is honest and the test is a real one, the great break-versus-retest argument simply does not resolve on this instrument at most speeds. On the 15m it does resolve — and it says TAKE THE BREAK, which is the opposite of what almost everyone will tell you.
That is what a measurement looks like. It disagrees with the folklore on one timeframe, refuses to take a side on four others, and does not care what you were hoping for. No tool that needs to sell you a signal would ever print "NO DIFFERENCE".
THE ONE THING EVERYONE GETS BACKWARDS
Thomas Bulkowski measured throwbacks and pullbacks across 10,348 chart patterns. His finding:
"Do throwbacks hurt performance? YES: 97% of the time chart patterns with upward breakouts
perform better post-breakout WITHOUT a throwback."
"Do pullbacks hurt performance? YES: 91% of chart pattern types with downward breakouts
perform better if a pullback does NOT occur."
Read that again. The retest is not a gift. It is a SYMPTOM — evidence that the move is weak, that supply came back, that the break did not have the strength to run.
And yet "wait for the retest" is good advice for a completely different reason: it gives you a better price and a tighter stop.
BOTH ARE TRUE AT ONCE. They are two opposing effects on the same trade, and they have never been put on one scale and netted out. That is what this script does. The retest may still win — a better entry can outweigh a weaker move — but nobody has ever checked, and the answer is different on every instrument and every timeframe.
A CLEAN RETEST AND A DEEP ONE ARE NOT THE SAME EVENT
Bulkowski again, and this is his sharpest single finding on the subject: during a throwback, if price REMAINS ABOVE the breakout price the subsequent rise averages 40%. If it drops BELOW the breakout price and then recovers, the rise averages 29%. That is 400 samples versus 2,767.
Pooling those two throws away the strongest signal in the whole idea. So they are separated:
CLEAN retest — price came back and touched the level, but never CLOSED back through it.
DEEP retest — price CLOSED back through the level, then recovered.
They are graded separately, tested against each other, and labelled separately on the chart. If clean beats deep on your instrument, then "wait for the retest" is not one rule — it is two, and only one of them works.
AND CAN YOU SEE IT COMING?
The real, unpriced cost of a WAIT policy is that roughly half the time you never get filled. So it matters enormously whether you can predict which breaks will retest.
Bulkowski found that if price has more than three consecutively higher closes ending the day before the breakout, the throwback probability drops materially. So the panel reports the retest rate SPLIT BY THAT:
after a run of >3 closes 31.2% vs 55.8% otherwise
If the split is real on your instrument, then after a strong run into the break you should simply TAKE IT — because the retest you are waiting for is probably never coming.
IS YOUR VOLUME FILTER EARNING ITS KEEP?
Every trader is taught that a breakout must be confirmed by volume. Bulkowski's volume study says that after an ABOVE-average-volume breakout, FAILURES DOUBLE and the likelihood of a throwback TRIPLES, while the move itself is barely better.
That is testable — but only if the low-volume breaks are allowed into the sample. So VOLUME IS NOT A GATE ON THE RECORD. Every break is recorded; volume gates only the SIGNAL. The panel then reports what your filter is actually worth:
Break ON volume +0.11R n=246
Break OFF volume +0.06R n=166
on vs off (t) 0.82 no difference — it is doing nothing
The record is a fact about the market. The filter is a decision about the trade. They are kept apart, and this is what happens when you stop assuming and start measuring.
IDENTICAL GEOMETRY — and why this is not a detail
The target used to be THE NEXT OPPOSING LEVEL. That quietly destroyed the entire experiment.
The BREAK entry sits PAST the level (it closed through it). The RETEST entry sits BACK AT the level. So the retest is systematically FARTHER from the next opposing level, and was therefore being handed a BIGGER R:R for the SAME RISK — on every single trade, by construction. Live, that produced an R:R of 5.0 on one timeframe and 0.66 on another, and the on-chart key was cheerfully claiming "identical geometry" while the geometry was tilted toward the retest.
The trade now uses a FIXED R multiple, identical for the break, the retest and the control. The next opposing level is still drawn, and still tested — separately, as a descriptive statistic, with its hit rate reported next to its distance in R.
THE ANTI-BIAS GUARDS
ENTRY IS THE CLOSE, for both entries and for the control. Entering the retest AT the level — a better price than the close — while the break enters at its close would hand the retest a free head start on every trade, and settle the oldest argument in trading by rigging it.
THE CONTROL IS DIRECTION-MATCHED. Breaks run with the trend, so a direction-skewed event set measured against a symmetric 50/50 control inherits the drift for free and calls it an edge. Longs are compared only with control longs, shorts only with control shorts, and the control is blended back using the events' OWN direction mix.
EVERY VERDICT IS A TEST, NOT A COMPARISON. Break-vs-wait, clean-vs-deep, volume-on-vs-off — each is a Welch t-test that has to clear |t| > 1.96 before it is allowed to be a finding. For the wait policy, the variance of P(retest) x E is propagated by the delta method, because it is a product of two estimates and both carry error. A verdict that flips on a tenth of an R is not a verdict, it is noise wearing a costume.
Both barriers on one bar: the STOP is assumed first — conservative, and the only assumption that cannot flatter the result. Unresolved trades at the horizon are marked to market, not booked as losses.
THE LEVELS
Levels come from the extrema of a KERNEL-SMOOTHED price series (Nadaraya-Watson) rather than raw pivots, so they track the structure rather than the noise. A break requires a CLOSE beyond the level with displacement, not a wick. A false break is one that closes back inside quickly. All of it is computed on confirmed bars; the kernel is causal and never looks forward.
NON-REPAINT
The kernel confirms an extremum a half-window late, so a level appears some bars AFTER the swing that created it. That lag is the price of not repainting and it is paid deliberately. Levels, breaks, false breaks, retests, signals and every calibration event are computed on CONFIRMED bars only. Nothing is drawn and then moved.
DATA AND SCOPE
Any symbol, any timeframe. ATR-normalised throughout. Volume improves the SIGNAL but is not required, and it never gates the RECORD.
EXPORTS (Data Window — consume from other scripts via input.source())
EXP_Level, EXP_Break, EXP_FalseBreak, EXP_Retest, EXP_Entry, EXP_Stop, EXP_Target, EXP_NextLevel, EXP_WaitEdge
CONCEPT CREDIT
Support/resistance, polarity and the breakout-retest idea are long-standing public trading concepts with no single author; the written tradition runs through Charles Dow, Richard Wyckoff and Edwards & Magee. The formal TRADING-RANGE BREAK was first tested at scale by William Brock, Josef Lakonishok and Blake LeBaron, Journal of Finance 47(5), 1992 — and their results were later shown to be vulnerable to data-snooping (Sullivan, Timmermann and White, 1999), which is exactly why this tool measures the rule on YOUR instrument rather than asserting it.
The throwback and pullback statistics that motivate the clean/deep split, the run-length predictor and the volume test are from Thomas Bulkowski ("Encyclopedia of Chart Patterns"; thepatternsite.com). His numbers are measured on US daily stocks. Whether they hold on YOUR instrument is precisely the question this script exists to answer — and it may well answer "no".
Nadaraya-Watson kernel regression — Nadaraya and Watson (1964); its use for technical pattern recognition — Lo, Mamaysky and Wang, Journal of Finance 55(4), 2000. Triple-barrier forward labelling — Marcos Lopez de Prado. Welch's t-test — B. L. Welch. ATR — J. Welles Wilder.
The break-vs-wait availability weighting, the delta-method significance test, the clean/deep retest split, the volume-filter test and the direction-matched control are the author's own. Clean-room implementation; no third-party Pine code is reused. Not affiliated with, nor endorsed by, any of the above.
HONESTY AND LIMITATIONS
Calibration is IN-SAMPLE, with no costs or slippage, and uses overlapping windows. A proven in-sample edge is NOT a guarantee out-of-sample. Real fills, spreads and commissions will reduce it — and they will hurt the break entry more than the retest entry, because the break enters into momentum.
Bulkowski's throwback statistics are measured on US daily stocks over decades. They are the reason the questions are asked. They are NOT the answer, and this tool will tell you so if your instrument disagrees.
The verdict is allowed to be "NO DIFFERENCE — pick either", and on many instruments it will be. That is a real result. A tool that cannot report its own failure is an advertisement, not a measurement.
Nothing in this script predicts price.
DISCLAIMER
Research and educational tool only. NOT financial advice, NOT a recommendation, and NO guarantee of results. Entry, stop and target output is arithmetic, not advice. Trading carries risk of loss. Test out-of-sample and make your own decisions. The author accepts no liability for any use.
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Anchored VWAP Hand-Off 2.03Anchored VWAP Hand-Off 2.03 is a multi-leg cascading VWAP indicator. It starts with a classic Anchored VWAP from a user-selected date (Leg 1), then automatically creates new "hand-off" VWAP legs (up to 24) every time price crosses the previous VWAP. Each new leg resets its calculation from the bar of the cross, creating a dynamic chain of VWAPs that follow price action.
Key Features:
Source: Typically close (customizable).
Trigger: EMA(1) of the source (essentially price itself).
Color Logic: Each VWAP leg changes color based on whether price is above (bullish) or below (bearish) it. Supports unified color mode.
Up to 24 cascading legs (user controls how many are shown).
Visual anchor line at the start date.
Main Use Cases:
Dynamic Support & Resistance
The multiple VWAP legs act as adaptive moving support/resistance zones. Traders watch for bounces off these lines or breaks through several legs at once.
Trend Strength & Momentum
Strong trends often break multiple hand-off legs quickly.
Choppy/consolidating markets produce many frequent hand-offs (more lines clustering).
Mean Reversion Setups
Price tends to return to the nearest active VWAP legs. Useful for fade-the-extreme strategies.
Breakout / Breakdown Confirmation
When price decisively breaks through several VWAP legs in sequence, it often signals a high-probability directional move.
Intraday & Swing Trading
Particularly popular on stocks, futures, and crypto for finding "fair value" shifts after news events or strong moves. The hand-off mechanism makes it more responsive than a single static anchored VWAP.
Visual Market Structure
Helps traders see how "value" is migrating over time as new legs form.
Best Timeframes: Works on all, but especially useful on 5min to daily charts.Pro Tip: Start with 8–12 legs. Too many legs can make the chart noisy. Use the anchor date on significant events (earnings, breakout days, macro events, etc.).This indicator is an evolution of standard Anchored VWAP, designed to solve the problem of a single anchored VWAP becoming stale after big moves.
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Machine Learning Price Bands Kernel Regression SignalsOVERVIEW
Every "AI band" on this platform draws two lines and asserts them. None of them can tell you how often price actually stays inside.
This one can — because it is built on a method that comes with a MATHEMATICAL COVERAGE GUARANTEE, and then it CHECKS WHETHER IT KEPT THE PROMISE, live, on your chart:
Coverage (empirical vs nominal) 89.1% vs 90% n = 20,266
Is the miss REAL? -0.9 pp z = -4.3 (real)
Verdict undercovering — real, but small
That is not a band. That is a prediction interval that has been audited, and it is the whole reason this tool exists.
It is a research and framing tool. NOT a strategy, NOT a signal service, NOT a validated edge.
THE MACHINE LEARNING, SPELLED OUT — no buzzwords, here is the actual model
1. NADARAYA-WATSON KERNEL REGRESSION. Non-parametric: no functional form is assumed, the data chooses the shape. Each past bar votes on the current estimate with a Gaussian weight that decays with distance. This is the same estimator Lo, Mamaysky and Wang used in the Journal of Finance to make chart-pattern recognition objective. It is real machine learning, and it is sixty years old.
The kernel here is CAUSAL. It only ever looks backwards. A centred kernel — the kind most "Nadaraya-Watson envelope" scripts use — peeks at bars that have not happened yet, and that is why their historical fit looks so much better than their live one.
2. BANDWIDTH BY PREDICTIVE MODEL SELECTION. The bandwidth h is the only real parameter, and it is not a magic number: several candidates are run in parallel and scored on their ROLLING ONE-STEP-AHEAD SQUARED ERROR. The winner is used. That is honest model selection — the criterion you would use to choose any forecaster — rather than a knob you turn until the chart looks nice.
3. CONFORMAL PREDICTION INTERVALS. The half-width is the (1-alpha) empirical quantile of the recent ABSOLUTE one-step-ahead errors. Under exchangeability this carries a FINITE-SAMPLE coverage guarantee, with NO distributional assumption at all: no normality, no GARCH, no volatility model. The model's own recent mistakes size the band — which is why it widens when the model starts being WRONG, not merely when price starts moving.
4. ADAPTIVE CONFORMAL INFERENCE — Gibbs and Candes, NeurIPS 2021.
Here is the problem with plain conformal prediction on markets, stated plainly: its guarantee holds under EXCHANGEABILITY, and financial returns are the textbook counterexample. Volatility CLUSTERS. So a residual quantile computed over a trailing window is always a step behind, the band is too narrow exactly when it matters, and the misses bunch together. Coverage lands quietly under nominal. Measured live on NIFTY futures before this was added: 89.1% against a nominal 90%, on the 1m, the 3m and the 1h, every one of them roughly four standard errors below target. Not a bug. The assumption breaking.
ACI makes the miscoverage level a LEARNED parameter:
alpha(t+1) = alpha(t) + gamma * (alpha - err(t))
Miss the interval and alpha falls, so the quantile rises and the band WIDENS. Cover it and alpha creeps back, so the band TIGHTENS. Long-run coverage provably converges to the target IRRESPECTIVE OF THE DATA GENERATING PROCESS — no exchangeability assumption anywhere.
A band that notices it is undercovering and fixes itself. Watch the alpha row: where it settles BELOW nominal is a direct measurement of how badly exchangeability fails on your instrument.
MEASURED, ON THE SAME INSTRUMENT, BEFORE AND AFTER:
timeframe plain conformal with ACI
1m 89.1% 90.1%
3m 89.1% 90.1%
5m 89.1% 90.1%
15m 90.1% 90.1%
1h 89.1% 90.1%
(nominal 90%)
Five timeframes, a four-standard-error undercoverage on four of them, closed. The binomial test now returns "calibrated — within sampling noise" and means it. That is not a backtest of a trading rule. That is a mathematical promise being kept, and being checked.
5. NORMALISED NONCONFORMITY — Papadopoulos et al. (2008), Lei et al. (2018).
The plain score |price - fit| is a SCALAR, which means the band is THE SAME WIDTH in a dead tape and in a crash. It therefore OVERCOVERS in calm and UNDERCOVERS in chaos — and the single marginal coverage figure is the average of those two errors, looking correct while being wrong in both directions.
Normalising divides each residual by a local scale estimate before taking the quantile, and multiplies it back when drawing:
score = |price - fit| / sigma band = fit +/- q * sigma
The band now scales with LOCAL DIFFICULTY — and note it is the MODEL'S difficulty, not the market's volatility. Related, but not the same thing, and the first one is what a prediction interval is actually about.
6. THE COVERAGE AUDIT. A guarantee you do not verify is just a claim.
TWO QUESTIONS ABOUT THE COVERAGE, AND THE PANEL ANSWERS BOTH
IS THE MISS REAL? That is a binomial z-test and it needs no tolerance at all. Each bar is a Bernoulli trial with p = nominal, so the standard error of the observed coverage is sqrt(p(1-p)/n).
IS THE MISS BIG ENOUGH TO CARE ABOUT? That is a judgement, and you set it.
These are NOT the same question, and conflating them is how a band gets waved through as "calibrated". Measured live on NIFTY futures: at n = 20,266 the standard error is 0.21 pp, so an empirical coverage of 89.1% against a nominal 90% is a 0.9 pp miss — FOUR STANDARD ERRORS. Unmistakably real. Arguably too small to trade differently. A 5 pp tolerance called that "calibrated", which was the headline row of the script asserting the one thing the script exists to verify, and asserting it wrongly.
The panel now reports the size of the miss, its significance, and a verdict that distinguishes "within sampling noise" from "real, but small" from "MISCALIBRATED — do not trust the band". You get to decide which of those matters to you, and you get the numbers to decide with.
AND THEN THE ROW NOBODY HAS: CONDITIONAL COVERAGE
Coverage 90.0% vs 90% n = 20,178
calm / normal / turbulent 96.4% · 90.1% · 83.2%
A single marginal number can read a perfect 90% while the interval covers 96% of quiet bars and 83% of violent ones. Ninety per cent is then the AVERAGE OF TWO ERRORS — it looks right while being wrong in both directions, and it is wrong in the direction that costs you money exactly when it costs you money.
Exact conditional coverage is provably impossible without strong assumptions. But you can always MEASURE it, and almost nobody does. Bars are split into calm, normal and turbulent thirds by the percentile rank of ATR, and coverage is scored inside each. If the three numbers fan apart, the band is not breathing — and the normalised score is what closes the gap.
Turn the normalised score off and watch those three fan out. That is the demonstration.
FADE OR FOLLOW? THE TOOL DOES NOT PRETEND TO KNOW
Price leaving a 90% interval is statistically unusual. Whether to FADE it (an outlier, so bet on reversion) or FOLLOW it (the model has broken, so bet on the new regime) is an EMPIRICAL question, and the honest answer is often neither.
So both are logged, both are graded, and BOTH ARE TESTED AGAINST EACH OTHER.
That last part matters more than it sounds. Knowing that fading beats an unconditional control, and that following also beats an unconditional control, does not answer the question a trader is actually asking at a band break — which of the two should I do? They are mutually exclusive responses to the SAME event. So they are run head to head with a Welch t-test, and the answer is allowed to be:
FADE or FOLLOW? NEITHER — the break does not tell you which
If the difference does not clear the noise, then on this instrument the break carries no directional information, and saying so IS the finding. A tool that cannot report its own failure is an advertisement, not a measurement.
And the chart agrees with the panel. An unproven direction is still drawn — it is arithmetic, and you may want it — but it is drawn MUTED and labelled "(not proven)". It used to print "Follow the break" in full colour while the panel directly beneath it said "neither proven". The paint has to agree with the code.
THE ANTI-BIAS GUARDS
ENTRY IS THE CLOSE, for the event and for the control alike. A band break is a SIGNAL, not a fill. Entering at the band — a better price — while the control enters at the close hands every signal a free head start and manufactures an edge out of nothing.
THE CONTROL IS DIRECTION-MATCHED. In a downtrend there are more break-downs than break-ups, so FOLLOW skews short and FADE skews long. A direction-skewed event set measured against a 50/50 control inherits the index drift for free and calls it an edge. Longs are compared only with control longs, shorts only with control shorts, and the control is blended back using the events' OWN direction mix.
IDENTICAL GEOMETRY. Every event and every control trade uses the same stop and the same R multiple, so the comparison is apples to apples.
Both barriers on one bar: the STOP is assumed first — conservative, and the only assumption that cannot flatter the result. Unresolved trades at the horizon are marked to market, not booked as losses. Nothing is marked proven below t = 1.96.
NON-REPAINT
The kernel is causal, the bandwidth is chosen on past error only, the interval is built from past residuals, and coverage is scored by asking whether the actual close landed inside the interval that was published BEFORE it. Everything is computed on confirmed bars. Nothing is drawn and then moved.
WHY THESE PARTS ARE ONE TOOL
The regression gives the trend. Without the interval, a band is a guess. Without model selection, the bandwidth is a knob you turn until you like the picture. Without the coverage audit, a conformal interval is an unverified promise. And without the signal calibration, "price left the band" is folklore. Each piece is worthless alone — which is exactly why they ship together.
DATA AND SCOPE
Any symbol, any timeframe. ATR-normalised throughout. No volume required.
EXPORTS (Data Window — consume from other scripts via input.source())
EXP_Fit, EXP_Upper, EXP_Lower, EXP_Bandwidth, EXP_Coverage, EXP_Miscal, EXP_Signal, EXP_Entry, EXP_Stop, EXP_Target
CONCEPT CREDIT
Nadaraya-Watson kernel regression — E. A. Nadaraya and G. S. Watson (1964). Its use for technical pattern recognition in finance — Andrew W. Lo, Harry Mamaysky and Jiang Wang, "Foundations of Technical Analysis", Journal of Finance 55(4), 2000. Conformal prediction — Vladimir Vovk, Alexander Gammerman and Glenn Shafer; the split/inductive form used here follows Papadopoulos et al. and Lei et al. Triple-barrier forward labelling — Marcos Lopez de Prado. Welch's t-test — B. L. Welch. ATR — J. Welles Wilder.
The causal-kernel implementation, the parallel bandwidth selection, the live coverage audit, the binomial calibration test and the fade-versus-follow head-to-head are the author's own. Clean-room implementation; no third-party Pine code is reused. Not affiliated with, nor endorsed by, any of the above.
HONESTY AND LIMITATIONS
Conformal coverage is guaranteed under EXCHANGEABILITY. Financial returns are NOT exchangeable — volatility clusters, regimes shift — so the guarantee is approximate in practice. THAT IS PRECISELY WHY THE COVERAGE IS AUDITED LIVE INSTEAD OF ASSUMED. When empirical coverage drifts from nominal you are watching the assumption break, in real time, and you should believe what you see rather than the label.
A prediction interval says where price is LIKELY TO BE. It says nothing about DIRECTION, and it is not a forecast. Coverage being correct does not make band breaks tradeable — those are two different claims, and the tool tests them separately for exactly that reason.
Calibration figures are IN-SAMPLE, with no costs or slippage, and use overlapping windows. A proven in-sample edge is NOT a guarantee out-of-sample. Nothing here predicts price.
DISCLAIMER
Research and educational tool only. NOT financial advice, NOT a recommendation, and NO guarantee of results. Entry, stop and target output is arithmetic, not advice. Trading carries risk of loss. Test out-of-sample and make your own decisions. The author accepts no liability for any use. 指標
RSL Wert (Levy)Although Robert Levy originally designed the indicator purely as a trend-following tool (true to the motto: "Buy the strongest and stick to assets with an RSL greater than 1.0"), mathematically it measures exactly what you described: the percentage deviation of the current price from its moving average (MA 130).If you use the RSL as an overbought indicator (an oscillator for extreme zones), you should pay attention to two main things:1. Historical Context of the Individual AssetAn RSL of, for example, $1.25$ means that the price is trading 25% above its 130-day moving average.For a sluggish blue-chip stock, this can already represent extreme overheating, which historically has almost always led to a correction (mean reversion).For a highly volatile tech stock or crypto asset in a massive trend phase, an RSL of $1.25$ might be completely normal, with actual overheating only setting in at $1.40$ or higher.2. Interplay with the Trend DirectionIn a bull market: A high RSL does signal overheating, but it is often a sign of extreme momentum. Here, "overheating" frequently leads to a sideways consolidation where the moving average catches up, rather than a sharp crash.At a trend reversal: If the RSL spikes to historical extremes during an already mature trend phase and then abruptly loses momentum, it serves as a classic warning sign to take profits.Rule of thumb: The further the price stretches away from the MA 130 like a rubber band (resulting in a high RSL), the greater the short-term risk of a pullback to the average.
Robert Levy hat den Indikator zwar ursprünglich als reines Trendfolgewerkzeug konzipiert (frei nach dem Motto: „Kaufe das Stärkste und halte dich an Werte mit einer RSL größer als 1,0“), aber mathematisch misst er genau das, was du beschreibst: die prozentuale Abweichung des aktuellen Kurses von seinem gleitenden Durchschnitt (GD 130).
Wenn man den RSL als Überhitzungs-Indikator (Oszillator für Extremzonen) nutzt, sollte man auf zwei Dinge achten:1.
Historischer Kontext des einzelnen WertesEin RSL von z. B. 1,25 bedeutet, dass der Kurs 25% über seinem 130-Tage-Durchschnitt notiert.Für eine träge Standardaktie kann das bereits eine extreme Überhitzung sein, die historisch fast immer zu einer Korrektur (Mean Reversion) geführt hat.
Für einen hochvolatilen Tech-Wert oder Krypto-Asset in einer massiven Trendphase kann ein RSL von 1,25 dagegen völlig normal sein, bevor die eigentliche Überhitzung erst bei 1,40 oder höher ansetzt.2.
Das Zusammenspiel mit der TrendrichtungIm Bullenmarkt: Ein hoher RSL zeigt zwar Überhitzung an, ist aber oft ein Zeichen von extremer Dynamik (Momentum). Hier führt die „Überhitzung“ häufig eher zu einer Seitwärtskonsolidierung, bei der der Durchschnitt nachzieht, anstatt zu einem scharfen Crash.Bei der Trendwende: Schießt der RSL in einer ohnehin schon reifen Trendphase auf historische Extremwerte und verliert dann schlagartig an Dynamik, ist das ein klassisches Warnsignal für Gewinnmitnahmen.Als Daumenregel lässt sich festhalten: Je weiter sich der Kurs elastisch wie ein Gummiband vom GD 130 nach oben entfernt (hoher RSL), desto größer wird kurzfristig das Risiko eines Rücksetzers zum Durchschnitt. 指標
RSL Wert (Levy)Robert Levy hat den Indikator zwar ursprünglich als reines Trendfolgewerkzeug konzipiert (frei nach dem Motto: „Kaufe das Stärkste und halte dich an Werte mit einer RSL größer als 1,0“), aber mathematisch misst er genau das, was du beschreibst: die prozentuale Abweichung des aktuellen Kurses von seinem gleitenden Durchschnitt (GD 130).
Wenn man den RSL als Überhitzungs-Indikator (Oszillator für Extremzonen) nutzt, sollte man auf zwei Dinge achten:1.
Historischer Kontext des einzelnen WertesEin RSL von z. B. 1,25 bedeutet, dass der Kurs 25% über seinem 130-Tage-Durchschnitt notiert.Für eine träge Standardaktie kann das bereits eine extreme Überhitzung sein, die historisch fast immer zu einer Korrektur (Mean Reversion) geführt hat.
Für einen hochvolatilen Tech-Wert oder Krypto-Asset in einer massiven Trendphase kann ein RSL von 1,25 dagegen völlig normal sein, bevor die eigentliche Überhitzung erst bei 1,40 oder höher ansetzt.2.
Das Zusammenspiel mit der TrendrichtungIm Bullenmarkt: Ein hoher RSL zeigt zwar Überhitzung an, ist aber oft ein Zeichen von extremer Dynamik (Momentum). Hier führt die „Überhitzung“ häufig eher zu einer Seitwärtskonsolidierung, bei der der Durchschnitt nachzieht, anstatt zu einem scharfen Crash.Bei der Trendwende: Schießt der RSL in einer ohnehin schon reifen Trendphase auf historische Extremwerte und verliert dann schlagartig an Dynamik, ist das ein klassisches Warnsignal für Gewinnmitnahmen.Als Daumenregel lässt sich festhalten: Je weiter sich der Kurs elastisch wie ein Gummiband vom GD 130 nach oben entfernt (hoher RSL), desto größer wird kurzfristig das Risiko eines Rücksetzers zum Durchschnitt.
Although Robert Levy originally designed the indicator purely as a trend-following tool (true to the motto: "Buy the strongest and stick to assets with an RSL greater than 1.0"), mathematically it measures exactly what you described: the percentage deviation of the current price from its moving average (MA 130).If you use the RSL as an overbought indicator (an oscillator for extreme zones), you should pay attention to two main things:1. Historical Context of the Individual AssetAn RSL of, for example, $1.25$ means that the price is trading 25% above its 130-day moving average.For a sluggish blue-chip stock, this can already represent extreme overheating, which historically has almost always led to a correction (mean reversion).For a highly volatile tech stock or crypto asset in a massive trend phase, an RSL of $1.25$ might be completely normal, with actual overheating only setting in at $1.40$ or higher.2. Interplay with the Trend DirectionIn a bull market: A high RSL does signal overheating, but it is often a sign of extreme momentum. Here, "overheating" frequently leads to a sideways consolidation where the moving average catches up, rather than a sharp crash.At a trend reversal: If the RSL spikes to historical extremes during an already mature trend phase and then abruptly loses momentum, it serves as a classic warning sign to take profits.Rule of thumb: The further the price stretches away from the MA 130 like a rubber band (resulting in a high RSL), the greater the short-term risk of a pullback to the average. 指標
Supply & Demand Order Blocks [JOAT]Supply and Demand Order Blocks
Detects institutional order blocks from displacement, tracks them until mitigated, and signals reactions when price returns to a fresh zone.
What it is
Large participants cannot fill size at a single price, so they leave a footprint: the last opposing candle before an aggressive, imbalanced push. That candle marks the zone where unfilled orders rest and where price often returns to be re-accumulated or re-distributed. This indicator locates those zones objectively, manages their lifecycle, and frames the reaction as a trade. It is an original order-block engine with strict zone management.
How it works
• Displacement — the engine measures each impulsive leg over a short window against an ATR multiple. Only moves that exceed that threshold (optionally requiring a fair-value gap) count as institutional displacement, filtering out ordinary candles.
• Order block — the last opposing candle before a qualifying displacement is stored as a zone: the last down candle before a bullish push becomes demand, the last up candle before a bearish push becomes supply.
• Zone management — active blocks are held in parallel arrays, drawn as boxes extended to the right, faded by age and saturated by displacement strength, pruned once mitigated (price closes through them), and capped at a live maximum so the chart stays clean.
• Signals — a Buy fires when price taps a fresh demand block and closes back up (a bullish rejection); a Sell is the mirror at a supply block. An optional trend filter keeps you buying demand in uptrends and selling supply in downtrends, and a minimum-age plus minimum-gap rule stops a freshly formed block from self-triggering and prevents clustering.
Trade levels
Each signal draws a red risk box from entry to a stop placed beyond the block and a green reward box to the third target, with inner dividers and right-edge labels for entry, stop and each take-profit at your R multiples.
The dashboard
An adjustable order-flow-depth panel shows the trend bias, the live counts of demand and supply blocks, the distance to the nearest zone, a conviction estimate, the active signal, and a live first-target-before-stop tally from closed bars only.
How to use it
• Works on any asset and timeframe; larger timeframes produce fewer, more significant blocks.
• Trade reactions at fresh, unmitigated zones aligned with the trend filter; treat mitigated zones as spent.
• Use the nearest-zone distance to anticipate where a reaction may occur before it happens.
Settings
Displacement window and ATR size, fair-value-gap requirement, maximum live blocks and extension, minimum block age, trend filter length, risk buffer and target R multiples, plus visual and dashboard controls.
Originality and usefulness
The contribution is the full lifecycle model: an ATR-based displacement filter, objective block selection, age-and-strength-aware zone rendering, mitigation-based pruning, and a self-trigger guard — combined with a trend-filtered, non-repainting reaction signal and explained end to end.
Notes and limitations
• Not every tap of a zone reverses; blocks can and do break, which is why mitigation pruning and stops exist.
• Order-block definitions vary between traders; this engine uses one consistent, disclosed definition.
• The tally reflects only past bars on the current chart and is not a forecast.
• Educational and analytical tool, not financial advice.
— made with passion by officialjackofalltrades
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Trend EngineThe Trend Engine: What It's Actually Doing
Most indicators give you one opinion. This one gives you five, then makes them argue it out across four different time horizons before handing you a single verdict.
The core idea is confluence. No single signal - not a moving average, not an oscillator, not volume - is reliable enough to trade on its own. But when five different kinds of evidence all point the same direction at once, that agreement means something. The Trend Engine's whole job is to collect that evidence, weigh it, and show you at a glance whether the market's various signals are singing in harmony or talking over each other.
The five witnesses
Each one is trying to answer the same question - "is this bullish or bearish?" - from a different angle, so their occasional disagreements are informative:
The EMA stack (21/50/200) asks the oldest question in technical analysis: is price properly stacked above its short, medium, and long-term averages, the way a healthy uptrend should be? This is your structural read.
The Supertrend is fast and reactive - an ATR-based line that flips relatively quickly when price reverses. Think of it as the tactical scout: first to notice, first to be wrong sometimes too.
The Vol Stop is the slower, wider cousin - a Chandelier-style ATR trailing stop (20-period, 3.25x multiplier) that doesn't flip nearly as often. It's less about catching every wiggle and more about confirming the durable trend, and it doubles as an actual stop-loss reference level.
OBV (On-Balance Volume) checks whether volume is actually backing the move - is money flowing in on the way up, or is this a rally nobody's actually buying?
The Heikin-Ashi candle is a noise filter. Its smoothed color tells you, at the most basic level, whether the last bar of price action itself was constructive or not - a simple gut check against the more complex signals above it.
Each of those casts a vote of +1 or -1 (the EMA stack can go to +/-2 for full alignment), and they get added together into a single confluence score.
Reading across time, not just across signals
Here's the second layer: the same five-vote process runs independently on four timeframes - 1-hour, Daily, Weekly, and Monthly - with Daily and Weekly counted double, since those tend to matter more for positioning than an hourly blip or a slow-moving monthly trend. That weighted sum becomes the Net Score, expressed as a percentage of its theoretical maximum, so you can see whether the whole structure - not just one timeframe - is pulling in one direction.
Volatility as a confidence check, not just a data point
Markets don't behave the same way in calm conditions as they do in chaotic ones, so the Trend Engine also measures where current volatility (via ATR) sits relative to its own recent history - Low, Normal, Elevated, or Extreme. Rather than just displaying that as trivia, it actually discounts the confluence score during high-volatility regimes. A "perfect" 5-signal alignment during an Extreme volatility spike gets treated with more skepticism than the same alignment during a calm, Low-volatility grind - because whipsaws and false signals cluster in turbulent conditions. Daily and Weekly volatility get their own discount applied independently, so a calm Weekly trend isn't penalized just because the Daily chart is having a rough week.
The scoreboard
All of this rolls up into a table that sits on the chart: each timeframe's Regime (Strong Bull down to Strong Bear), a Strength bar, the Net Score percentage, and - most useful day to day - a Net Score percentile, which tells you how today's reading stacks up against the last 100 bars of its own history. That last one matters because the theoretical maximum score is almost never actually reached in real markets; knowing that today is more extreme (or more tepid) than 90% of recent readings is a far more actionable fact than knowing you're at "62% of a ceiling nobody ever touches."
The honest caveat
This is a confluence tool, not an oracle. Three of the five components (Supertrend, Vol Stop, Heikin-Ashi) are all fundamentally trend-following price-action tools, so in a strongly trending market they'll tend to agree with each other simply because they're measuring similar things - that's not five independent opinions converging, that's three cousins nodding along. The real diversification in the model comes from EMA structure and OBV, which are measuring genuinely different things (positioning and participation, respectively). Worth keeping in mind when the Regime row reads "Strong Bull" across the board - ask whether that's broad agreement or just correlated trend-followers all catching the same wave. 指標
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NIMBUS [ThrowMaster]NIMBUS — Ichimoku, Reimagined
Classic Ichimoku is brilliant at one question: "Where is the market right now — above, below, or inside equilibrium?" It is far weaker at a second question every trader actually asks: "What is the market about to do?" NIMBUS keeps the timeless Ichimoku framework intact and adds three dimensions built to close that gap — while staying, above all, honest about what it is: a context compass, not a signal service.
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WHAT NIMBUS ADDS
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⭐ Kumo Calendar — Twist Countdown
Here is a fact most traders overlook: the cloud in front of price is already fully drawn. It is built entirely from bars that have ALREADY closed, then shifted forward. That means the next Kumo twist — the moment Senkou Span A and B swap places — is knowable in advance. NIMBUS scans the forward cloud and counts the exact number of bars until that twist reaches price, and warns you when a thin (weak-support) section is approaching. Ichimoku's most-criticised trait, its lag, becomes a schedule you can read ahead of time.
🩵 Breath — Volume-Reactive Cloud
A traditional cloud shows only price geometry; two identical-looking clouds can hide wildly different conviction. NIMBUS makes the cloud breathe: it grows more solid on high-participation bars and fainter on quiet ones, using a rolling volume percentile. Strength becomes something you feel at a glance, not something you have to calculate. (If a symbol reports no volume, the cloud simply falls back to a fixed opacity — no errors, no false readings.)
🎯 Tenkan / Kijun Cross Clarity
The Tenkan–Kijun cross is one of Ichimoku's core events, yet on most charts it hides in a tangle of lines. NIMBUS marks it precisely: a teal circle at the exact price and bar of a bullish cross, coral for bearish. No hunting, no guessing.
◈ Alignment Hints
When four independent Ichimoku dimensions agree — price vs cloud, Tenkan vs Kijun, cloud colour, and the lagging read — AND price reclaims or loses the cloud on a confirmed bar, NIMBUS prints a small diamond. Think of it as a puzzle-game hint: a nudge to look at the right place at the right time. It is deliberately NOT a buy or sell command, and it never gives a target.
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HOW IT WORKS
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NIMBUS uses the standard Ichimoku engine — Tenkan (9), Kijun (26), Senkou Span A/B, and the lagging span, all fully adjustable. "Price vs cloud" always compares price to the cloud value formed 25 bars ago — the cloud actually sitting beneath price — so the reading reflects real, settled structure. The Breath layer reads a 100-bar volume percentile. The Twist Countdown walks the already-shifted forward cloud bar by bar. The dashboard summarises everything in one compact, theme-aware panel with a mobile Compact Mode.
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HOW TO USE
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• Read the cloud for trend context: above = bullish structure, below = bearish, inside = balance/chop.
• Watch the Twist Countdown to anticipate when the cloud's support/resistance character is about to flip — useful for planning, not for firing blind.
• Let Breath tell you whether a move carries participation or is running on fumes.
• Treat Hints as a reason to zoom in and do your own analysis, never as an instruction.
• Combine with your own risk management. NIMBUS describes context; your plan decides the trade.
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ON REPAINTING (honest)
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Once a bar closes, every Tenkan/Kijun/Span value is fixed and never redrawn. Hints and cross circles are all confirmed on bar close, so a printed mark cannot later disappear. The forward cloud is built only from closed bars, so it is fixed the moment it appears. Like all Ichimoku tools, values on the CURRENT, still-forming bar update in real time until that bar closes — this is inherent to the framework, not hidden repainting, and it is documented directly in the code comments.
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WHAT MAKES IT ORIGINAL
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NIMBUS is not another line pack bolted onto Ichimoku. The Kumo Calendar reframes the forward cloud as a countdown rather than a static shape; Breath encodes participation into the cloud's opacity; and the whole tool is presented as an explicit, self-aware CONTEXT instrument — it tells you what the market is, and refuses to pretend it knows your trade. The code is fully open for you to read, study, and learn from.
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NOTE
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No indicator predicts the future or guarantees results, and NIMBUS makes no such claim. It is a decision-support and context tool. Markets involve risk; always use independent judgement and sound risk management. Not financial advice.
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True RSITrue RSI | MisinkoMaster
The True RSI is a sophisticated reimagining of classical momentum. While the standard Relative Strength Index has served as a cornerstone of technical analysis for decades, it possesses a fundamental limitation: it treats all price movements equally, regardless of the time elapsed since the market made its last major peak or trough. The True RSI solves this structural blind spot by merging price magnitude with temporal trend strength, weighting gains and losses according to their cyclical maturity.
By dynamically scaling price changes against the time-distance of local extremes, this indicator filters out lateral market noise, reduces false overbought and oversold readings during strong trends, and delivers highly responsive execution signals.
How It Works (The Core Architecture)
Instead of relying solely on arithmetic averages of upward and downward price closes, True RSI filters raw market data through a multi-dimensional momentum matrix:
Temporal Trend Weighting: The algorithm continuously tracks how recently the market has formed local highs and lows. Gains are mathematically weighted against the strength of the upward cycle, while losses are weighted against the strength of the downward cycle.
Cycle-Weighted Ratio: The accumulated, time-weighted gains and losses are calculated over your lookback period to establish a true relative strength ratio. If gains occur during an actively surging upward cycle, they are heavily amplified; if they occur during a dying trend, they are heavily discounted.
Smoothing and Normalization: This ratio is translated into a normalized scale bounded between 0 and 100, providing an incredibly smooth yet responsive oscillator curve alongside a secondary momentum velocity histogram.
Key Features
Time-Weighted Velocity: True RSI prevents premature exhaustion signals during strong, healthy trends because it understands the cyclical age of the current market move.
On-Chart Candle Morphing: The system automatically tracks the oscillator state and alters the colors of your main price bars to keep you visually aligned with the macro trend.
Overlay Execution Labels: Prints pristine Long and Short labels directly on your price pane the moment the underlying structural momentum shifts past your designated thresholds.
Internal Divergence Histogram: Built directly behind the main oscillator is a custom acceleration histogram that monitors the rate of change of the index, pinpointing hidden momentum shifts before they reflect in the price.
Input Parameters & Optimization Guide
Lookback Period: Controls the baseline window for both the cycle-strength calculations and the price change evaluations. A default of 21 bars balances macro trend stability with immediate short-term utility.
Long / Short Thresholds: The structural boundaries that dictate trend shifts. By default, crossing above 50 signals a bullish regime, while dropping below 50 initiates a bearish regime.
Overbought / Oversold Thresholds: Tailored extremes designed to isolate true premium and discount zones. The default 80 and 20 boundaries act as high-probability mean-reversion targets.
Trading Strategies & Execution
Trend Regime Shift
When momentum builds structural backing, the indicator updates its trend state:
A crossing of the True RSI above the Long Threshold triggers a green Long label on the chart, changing candle colors to vibrant green.
A crossing of the True RSI below the Short Threshold triggers a pink Short label, shifting candle colors to pink.
Exhaustion Reversals
Because price movement is weighted against cycle time, entering the overbought (80) or oversold (20) zones represents a market that is genuinely overstretched both in terms of price velocity and time. Reversals from these zones carry high statistical significance for counter-trend scalps or trailing-stop targets.
Acceleration Divergences
Watch the central histogram centered around the 50 line. When the price is grinding flat but the histogram starts to rise or fall aggressively, it shows that the internal speed of the True RSI is accelerating. This hidden momentum often foreshadows explosive breakout expansions.
Disclaimer: Trading financial markets involves high risk. This technical script is designed as an informational analytical tool to support your rule-based mechanical execution system and does not constitute financial advice. 指標
ATR Trend Band by ByblloATR Trend Band by Bybllo
This indicator plots a smoothed trend line (the "rope") that only moves once price has traveled beyond an ATR-based threshold from its last position, so small back-and-forth noise is absorbed and the line only steps in the direction of a genuine move. Around that rope line, a stepped upper/lower band tracks the highs and lows of the current directional leg, and the space between the rope and each band is filled with a true color gradient — strong color near the band, fading to transparent near the rope — so the current trend direction and its "room" are visible at a glance. When the rope's direction flips, a short transition window is highlighted with its own color and an optional cloud, so brief reversals or whipsaws are visually distinguished from an established trend.
Key Features
ATR-threshold "rope" smoother: the center line only moves once price has moved beyond (ATR length × ATR multiplier) from the line's current value, filtering out minor noise while still reacting to genuine directional moves.
Stepped upper/lower band that resets to the current high/low on a fresh directional leg and then expands to track the extremes of that leg, with the opposite band computed as rope ± the ATR threshold.
True gradient cloud fill between the rope and each band, with an adjustable steepness control for how quickly the color fades toward the rope line.
Distinct up / down / transition coloring on the rope line and the outer band lines, so the current trend direction is clear without reading numbers.
Optional transition-zone cloud that highlights the short window right after a directional flip, before the new trend is considered established.
Real-price calculation via request.security() keeps the indicator consistent regardless of chart type (Heikin Ashi, Renko, etc.).
How to Use
Treat the rope line's color and slope as the current trend direction; a color change (through the transition color) signals a potential shift in direction.
Use the stepped band as a dynamic support/resistance reference for the current leg — price re-testing the band without breaking the rope's direction can be read as a continuation, while a rope flip against the band suggests the leg may be ending.
Lower the "Gradient Steepness" input for a shorter, more intense color burst near the band edges, or raise it for a smoother gradient spread across the full band width.
Turn on "Show Transition Cloud" if you want the brief post-flip window visually flagged, which can help you avoid reacting to whipsaws immediately after a direction change.
Adjust "ATR Length" and "ATR Multiplier" together to control how sensitive the rope is: a smaller multiplier reacts faster but flips more often, while a larger multiplier is slower but more stable.
Notes
The gradient fill relies on Pine's built-in fill() gradient feature, which is supported across all account tiers (free and paid).
The transition window auto-clears after 5 bars if the rope has not resumed its prior direction, so it always reflects a short, recent window rather than an indefinitely "stuck" state. 指標
HA Zero-Wick Screener (20 Symbols)Heikin Ashi terms:
Bullish setup: Previous HA candle is green (bullish) with no lower wick (HA_Open = HA_Low, i.e., a "clean" green candle), AND current HA candle is also green and closes above the previous candle's close.
Bearish setup: Previous HA candle is red (bearish) with no upper wick (HA_Open = HA_High, i.e., a "clean" red candle), AND current HA candle is also red and closes below the previous candle's close.
Before I write the Pine Script, let me check a couple of things with you.Q: For the 'no wick' condition, how strict should it be?
A: Exactly zero wick (HA_Open = HA_Low/High exactly)Q: What format do you want the final output in?
A: Pine Script strategy/indicator with a screener table (shows on chart)Q: Do you want this to scan a fixed watchlist of symbols you input, or work as an indicator applied per-chart (and you use TradingView's built-in Screener with 'Add indicator' filter)?
A: Fixed list of symbols typed into the script (table shows all at once)Show moreNow I'll build a Pine Script indicator that:
Lets you type in a list of symbols (editable in settings, plus an on-chart way to note which ones you're tracking)
Computes Heikin Ashi values for each symbol using request.security
Checks your exact bullish/bearish wick conditions
Displays everything in a clean table on the chart
A few technical notes before the code:
Exact zero wick on Heikin Ashi is rare on live/unclosed candles (HA smooths values), so I'll check it on the last closed bar to get true zero-wick detection, and I'll also add a tiny epsilon-safe comparison purely to avoid floating point rounding issues (not a "tolerance" for the pattern itself — this is standard practice for equality checks in Pine).
TradingView limits request.security calls — a table-based multi-symbol screener can safely hold around 40 symbols per script. I'll set it up so you can easily edit the list.
I'll show: Symbol, Last Close, Signal (Bullish/Bearish/None), and the candle color for context.
Let me write this now.Ran 2 commands, created a file, read a fileRan 2 commands, created a file, read a fileHow to use it:
Open TradingView → Pine Editor → paste the script → "Add to Chart."
Click the gear icon (settings) on the indicator → edit the Symbols field (comma-separated, e.g. NSE:RELIANCE,NSE:TCS,...) to add/remove tickers.
Choose your Timeframe (defaults to Daily) and toggle "Show only rows with a signal" to filter the table down to just Bullish/Bearish hits.
How the logic works:
Bullish: previous HA candle is green with HA_Open == HA_Low (zero lower wick) AND current HA candle is green AND current HA close > previous HA close.
Bearish: previous HA candle is red with HA_Open == HA_High (zero upper wick) AND current HA candle is red AND current HA close < previous HA close.
Table shows Symbol, Last Close, HA candle color, and Signal, color-coded (green row = bullish, red row = bearish).
Important limitations to know:
TradingView caps request.security calls per script at 40. The script above has 10 example symbols — you can extend up to 40 total before it'll throw an error. If you need more, you'd need multiple copies of the script or TradingView's actual Stock Screener with a custom Pine screener script (separate product from indicators, works differently).
Exact-zero-wick is a strict condition — on many stocks this will rarely trigger since HA candles usually have at least a tiny wick. If you find signals are too rare, you may want to loosen this later (I can add a small tolerance % as an input if needed).
This works as a chart overlay, not inside TradingView's native "Screener" UI panel — it's a table drawn on whatever chart you apply it to, showing all your symbols regardless of which chart is open. 指標
Buy Sell Badge with ADX by ByblloBuy Sell Badge with ADX by Bybllo
This indicator generates Buy/Sell badges from a Fast/Slow EMA crossover (the "BSB" signal), then automatically manages an ATR-based stop loss and a risk:reward-based take profit for each signal, showing the resulting entry/stop/target levels directly on the chart along with a live status table.
On top of the EMA-based signal, an optional ADX strength filter can be enabled: when turned on, a badge is only shown if ADX is either at/above an upper threshold or at/below a lower threshold at the time of the signal — i.e. either a strongly trending market or a clearly non-trending one, whichever regime you choose to trade around. Position management (entry, stop loss, take profit, invalidation) always runs on the underlying EMA "BSB" signal regardless of the ADX filter; the filter only controls whether a badge and its risk-management lines are displayed.
Key Features
Fast/Slow EMA crossover generates the base Buy/Sell signal, with an optional candle-confirmation requirement (close beyond open in the signal direction).
Automatic ATR-based stop loss and configurable Risk:Reward take profit are calculated for every new signal, with intermediate take-profit levels plotted when Risk:Reward is greater than 1.
Optional "BSB + ADX" filter: a badge is only shown when ADX is at or above an upper threshold, OR at or below a lower threshold, at the time of the EMA signal — letting you badge-filter for either strong-trend conditions (ADX high) or quiet/ranging conditions (ADX low), while suppressing badges in the ambiguous middle zone.
On-chart entry / stop-loss / take-profit lines and an SL distance (in points) label, both toggleable and only shown while a badge has actually been displayed for the active position.
Take-profit, stop-loss, and "invalidated" (opposite signal fired before target/stop was hit) markers are plotted separately so you can see exactly how each trade idea played out.
A live status table (top-right) shows the current position, entry, stop loss, take profit, and realized Risk:Reward.
Real-price calculation via request.security() keeps signals consistent regardless of chart type (Heikin Ashi, Renko, etc.).
A full set of alertcondition() calls for Buy/Sell signals, take-profit hits, stop-loss hits, and invalidated entries.
How to Use
Leave "BSB + ADX" unchecked to use the EMA crossover badges on their own, with no ADX-based filtering.
Check "BSB + ADX" and set the upper/lower thresholds to only badge signals that occur when ADX confirms your preferred market regime — for example, a high upper threshold badges only strongly trending breakouts, while a low lower threshold badges only signals from quiet, low-ADX conditions.
Watch the on-chart entry/SL/TP lines and the status table to track an open idea's risk and progress in real time.
Set up alerts on the "Buy/Sell Signal", "Entry Signal", "Take Profit Hit", "Stop Loss Hit", or "Entry Invalidated" conditions depending on which events you want to be notified about.
Notes
Unlike a DMI golden-cross / dead-cross confirmation filter, this version filters purely on the ADX strength value itself (above an upper threshold or below a lower threshold), without checking DI+/DI- direction.
Stop-loss and alert-sensitivity offsets are point-based and will need adjusting per instrument (see the tooltips on those inputs).
This indicator does not place real orders; it is a visual / alerting tool for tracking a rules-based EMA (optionally ADX-filtered) trade idea. 指標
DMI Badge by ByblloDMI Badge by Bybllo
This indicator plots simple Long/Short badges based purely on the Directional Movement Index (DMI): a Long badge appears on a golden cross (DI+ crossing above DI-) and a Short badge appears on a dead cross (DI- crossing above DI+), with both filtered by a minimum ADX threshold so only crosses backed by sufficient trend strength are marked. It is a lightweight, standalone way to see DMI golden-cross / dead-cross signals directly on the chart without having to watch the DI+ / DI- lines separately.
This script is also intended as a reference companion to "Buy Sell Badge with DMI by Bybllo": that indicator's optional "BSB + DMI" filter uses this exact same DMI golden-cross / dead-cross + ADX logic internally to confirm its EMA-based signals. Running this indicator alongside it lets you see the underlying DMI badges on their own, independent of the EMA signal, so you can verify or tune the DMI-side behavior (length, ADX threshold, badge spacing) before relying on the combined confirmation filter.
Key Features
Long badge on a DMI golden cross (DI+ crossing above DI-), Short badge on a DMI dead cross (DI- crossing above DI+).
ADX threshold filter: a badge is only shown when ADX is at or above your configured minimum, filtering out crosses that lack real directional strength.
Badge spacing (cooldown) input prevents duplicate badges from firing on consecutive bars after a signal.
Real-price calculation via request.security() keeps signals consistent regardless of chart type (Heikin Ashi, Renko, etc.).
alertcondition() calls for both Long and Short badges, ready to use for TradingView alerts.
How to Use
A Long badge below the bar means DI+ has just crossed above DI- with ADX at or above your threshold — a bullish directional shift with trend strength behind it.
A Short badge above the bar means DI- has just crossed above DI+ with ADX at or above your threshold — a bearish directional shift with trend strength behind it.
Raise the ADX threshold to show fewer, higher-conviction badges; lower it to see more crosses, including weaker ones.
Increase "Badge Spacing" if you want more separation between consecutive badges on choppy charts.
If you use "Buy Sell Badge with DMI by Bybllo" with its "BSB + DMI" filter enabled, keep the DMI Length, ADX Threshold, and Badge Spacing here aligned with that indicator's DMI settings so the two stay in sync.
Notes
This indicator only plots DMI-based signals; it does not include any EMA logic, stop-loss/take-profit management, or position tracking. For a combined EMA + DMI signal with risk management, see "Buy Sell Badge with DMI by Bybllo". 指標
Support & Resistance Confluence Levels, Hold Record & ReversalOVERVIEW
Four lines. Two above price, two below. That is the whole chart.
Every other support/resistance tool has the opposite problem. It finds forty levels and leaves you to work out which two matter. Forty levels is not information, it is wallpaper — and a level you have to hunt for is a level you will not trade.
So this tool inverts the design. It does not ask "where are the levels?" It asks:
WHICH LEVEL WOULD I ACTUALLY TRADE, RIGHT NOW, AND WHY SHOULD I BELIEVE IT?
A price is only promoted to a level when SEVERAL INDEPENDENT METHODS AGREE ON IT. One method finding a level proves nothing — every method finds levels everywhere. The signal is AGREEMENT.
This is a research and framing tool. It is NOT a strategy, NOT a signal service, and NOT a validated edge.
THE SIX VOICES — four propose, two confirm
PROPOSERS. Each nominates candidate prices, independently:
◆ SWING PIVOT the classic. Where price actually turned.
~ KERNEL EXTREMUM the turning point of the SMOOTHED price (Nadaraya-Watson), which is the shape
rather than the noise. This is Lo, Mamaysky and Wang's method, and it finds
structurally different levels from a raw pivot. That independence is exactly
what makes agreement between the two worth something. Agreement between two
methods that make the same mistakes is worth nothing at all.
⇈ HIGHER TIMEFRAME a swing on the HTF. The level a bigger participant is watching.
▣ PRIOR PERIOD yesterday's high and low. Last week's high and low. The most watched prices on
any chart — and missing from almost every auto-S/R script on TradingView.
CONFIRMERS. They do not nominate, they vouch:
▪ VOLUME NODE the level sits where volume actually transacted. Real business was done here,
not merely a turning point.
○ ROUND NUMBER the psychological grid.
Candidates within an ATR tolerance merge, and the merged level inherits every voice that spoke for it. A level needs MIN VOICES to exist at all. Everything below that is DISCARDED, not hidden. Then only the nearest two above and two below are drawn.
The label tells you why the level is there: "◆~▣▪ 4v held 3/4 24,247.00" — four independent voices, tested four times, held three.
AND THEN THE PART NOBODY DOES: WE TEST WHETHER CONFLUENCE ACTUALLY RANKS
"Levels are stronger when several methods agree" is one of the most repeated claims in technical analysis and almost nobody has ever checked it. It is checkable. So the panel reports:
High confluence (3+) +0.24R n=61 PROVEN
Low confluence -0.03R n=88
Control (unconditional) +0.02R n=240
DOES CONFLUENCE RANK? YES — more voices IS better
And the control is DIRECTION-MATCHED. Reversals at support are overwhelmingly LONG on a drifting index — and a long-biased event set compared against a 50/50 control is handed the drift for free and calls it an edge. Longs are compared only with control longs, shorts only with control shorts, and the control is then blended back using the events' OWN direction mix. It is a subtle trap and it will manufacture an edge out of nothing if you let it.
And the verdict is a TEST, not a comparison. High confluence is measured against low confluence with a Welch t-test, and the difference must clear |t| > 1.96 before it is allowed to be a finding. Below that, the panel prints the least satisfying answer there is — NO DIFFERENCE — because that is the honest one. A tool that reports a 0.02R gap as a verdict is not measuring anything, it is decorating.
If the extra voices do not rank on your instrument, then on your instrument they do not rank, and no amount of agreement between methods will change that. That row is the reason this script exists.
THE HOLD RECORD — and why "held 3/4" is not what most scripts mean by it
A TEST IS AN EPISODE, NOT A BAR. Price arrives at the level and the test stays OPEN until price LEAVES it — back the way it came (HELD) or straight through (BROKE). A bar that closes INSIDE the zone has resolved nothing and is counted as nothing.
Counting every touching bar as a completed test drops an entire consolidation into the denominator as failures, and manufactures hold rates near 10% that say nothing about the level and everything about the counter. An unresolved test is neither a hold nor a break, exactly as an unresolved trade is neither a win nor a loss.
AND A TEST IS AN APPROACH, NOT A BAR TOUCHING A BOX. Price exits the zone (HELD), the next bar dips straight back in — and without a re-arm rule that counts as a brand-new test. Chop sitting on a level then logs a hundred "tests" that were really one event. Measured live before this was fixed: 224 tests of a single level on a 5m chart, and hold rates that all landed between 61% and 75% no matter which level you looked at. A statistic that cannot tell any two levels apart is not measuring the levels — it is measuring the bar size. Price must now travel clear of the zone before the level can be tested again. One approach, one test.
The volume filter gates the SIGNAL and never the RECORD. A level that holds on thin volume still HELD. Quietly dropping it from the numerator while leaving it in the denominator is how a hold rate gets manufactured.
IF TWO ZONES OVERLAP, THEY ARE THE SAME LEVEL
The merge tolerance is held to at least the combined zone half-widths. Otherwise two levels a fraction of an ATR apart refuse to merge and then draw overlapping boxes anyway, and the geometry contradicts itself on the chart for anyone to see. It is a small thing that quietly tells you the tool was never looked at.
A LEVEL IS AN ANCHOR, NOT A TRAILING AVERAGE
Levels merge as new candidates arrive, and the merged price is a COUNT-WEIGHTED mean: the tenth candidate moves the level by a tenth of the gap, not half of it. This sounds like a detail. It is not. A level that moves halfway toward every new candidate will slide toward price — because price is where new candidates come from — until it is no longer an anchor at all, but a trailing average sitting in the middle of the action, "tested" on every swing. The maths here is the difference between a level and a moving average with extra steps.
Levels are retired by DISTANCE, and confluence buys REACH. A level far from price is useless however many voices it has; a level at price is what you are trading. But eviction cannot simply drop the weakest, either — every level is BORN with one voice, so a weakest-first rule kills every new level in the cradle, before it can earn a second, and the chart slowly fills with ancient far-away fossils while nothing can form where price actually is. Confluence buys a level the right to be further away. It does not buy it immortality.
THE REVERSAL TRADE — because nobody looks at a level to admire it
Price tests the level and closes back out. Entry at the CLOSE, stop beyond the level, target a fixed R multiple.
ENTRY IS THE CLOSE, for the event and for the control alike. A rejection is a SIGNAL, not a fill.
Entering at the level — a better price — while the control enters at the close hands every level a
free head start, and it would "win" without the level having done anything at all.
THE R MULTIPLE IS FIXED so that the event and the control are measured on IDENTICAL geometry. A
variable target against a fixed-target control is not a comparison: the near target is reached more
often AND resolves inside the grading horizon more often, so the two are not even being asked the
same question.
THE NEXT OPPOSING LEVEL is drawn too, and separately tested: is it reached before the stop, and HOW
FAR AWAY IS IT IN R? A hit rate with no distance attached is a fact about the distance, not about
the levels — a target half a unit of risk away being reached often proves nothing.
Signals fire only at the levels actually on screen. Every level keeps its record; only the ones you are watching can fire. You do not trade a level twelve levels away from price.
And when a level BREAKS, you are told. A level holding is the reversal; a level giving way is the other half of why anyone draws one. Breaks are marked with an x and carry their own alerts — reported as pure information, with no trade framed and no claim made, because the break is not what this engine calibrated. Saying so is cheaper than pretending otherwise.
NON-REPAINT, AND ITS HONEST COST
Pivots confirm some bars late. The kernel extremum confirms a half-window late — a centred kernel looks into the future, and we refuse to. So a level appears some bars AFTER the swing that created it. That lag is the price of not repainting and it is paid deliberately.
Levels, tests, holds, breaks, signals and every calibration event are computed on CONFIRMED bars only. The HTF read uses lookahead_off. Nothing is drawn and then moved.
DATA AND SCOPE
Any symbol, any timeframe. ATR-normalised throughout. Volume improves the score but is NOT required — without it the volume-node voice simply abstains rather than guessing.
HOW TO USE
0. Turn the KEY on once (Dashboard & theme > Show the key). It explains the six glyphs. Turn it off
again — you only need it the first time.
1. MIN VOICES is the one input that matters. 1 gives you the forty-line wallpaper every other S/R
script gives you. 2 requires agreement. 3 shows only the prices several independent methods
arrived at on their own. Raise it until the chart shows levels you would actually trade.
2. Read the hold record. "Held 3/4" tells you more than any colour ever will.
3. READ THE CONFLUENCE VERDICT BEFORE YOU WEIGHT ANY OF IT. If the voices do not rank here, a level
is a LOCATION, not a probability — treat it as context, not as a signal.
4. Wait for the rejection: price into the level, close back out, on real volume.
5. Entry, stop and target are drawn. They are arithmetic, not advice.
ALERTS
Support held · Resistance held · Any rejection · Support broke · Resistance broke
EXPORTS (Data Window — consume from other scripts via input.source())
EXP_Sup1, EXP_Sup2, EXP_Res1, EXP_Res2, EXP_SupVoices, EXP_ResVoices, EXP_Signal, EXP_Entry, EXP_Stop, EXP_Target, EXP_ConfluenceEdge
CONCEPT CREDIT
Support/resistance and polarity are long-standing public trading concepts with no single author; the written tradition runs through Charles Dow, Richard Wyckoff and Edwards & Magee.
The TRADING-RANGE BREAK — the formal S/R rule — was first tested at scale by William Brock, Josef Lakonishok and Blake LeBaron, "Simple Technical Trading Rules and the Stochastic Properties of Stock Returns", Journal of Finance 47(5), 1992. Their findings were later shown to be vulnerable to data-snooping (Sullivan, Timmermann and White, 1999) — which is precisely why this tool MEASURES the rule on your instrument instead of asserting it.
Nonparametric kernel regression for level detection is from Andrew W. Lo, Harry Mamaysky and Jiang Wang, Journal of Finance 55(4), 2000; the Nadaraya-Watson estimator is due to Nadaraya and Watson (1964). ATR — J. Welles Wilder. Triple-barrier forward labelling — Marcos Lopez de Prado. Welch's t-test — B. L. Welch.
The confluence gate, the voice model, the episode-based hold record, the confluence-ranking test and the direction-matched control are the author's own. Clean-room implementation; no third-party Pine code is reused. Not affiliated with, nor endorsed by, any of the above.
HONESTY AND LIMITATIONS
Calibration is IN-SAMPLE, with no costs or slippage, and uses overlapping windows. A proven in-sample edge is NOT a guarantee out-of-sample. Real fills, spreads and commissions will reduce it.
The confluence gate is one rule among many — a different tolerance gives different levels.
Confluence is TESTED here, not assumed. If the panel says the extra voices do not rank, then on this instrument they do not, and no amount of agreement between methods will change that.
Both barriers on one bar: the STOP is assumed first — conservative, and the only assumption that cannot flatter the result. Unresolved trades at the horizon are marked to market, not booked as losses. Nothing is marked PROVEN below t = 1.96, and nothing is rated at all below the minimum sample.
Nothing in this script predicts price.
DISCLAIMER
Research and educational tool only. NOT financial advice, NOT a recommendation, and NO guarantee of results. Entry, stop and target output is arithmetic, not advice. Trading carries risk of loss. Test out-of-sample and make your own decisions. The author accepts no liability for any use. 指標
SLW V1.7 By MTOverview
This indicator is a high-probability signal generator built on three core pillars of price action: Fixed horizontal price zones (7 Static Lines), Macro trend direction via Higher Timeframe (HTF) analysis, and Micro-structure indecision through the Doji candlestick pattern. By waiting for all three conditions to align, this tool dramatically reduces false signals and helps you trade with the institutional "confluence."
1. The 7 Static Levels (The Framework)
The indicator plots seven predefined static horizontal lines across your chart. These levels act as the ultimate support/resistance grid. Price action interacting with these lines is given top priority, as they represent major historical inflection points where reversals or violent breakouts are statistically likely.
2. Higher Timeframe Trend (The Filter)
To ensure you are never fighting the macro trend, the indicator evaluates the market direction on a user-selected higher timeframe (e.g., 4H or Daily). It acts as a guardian filter: it will only allow Buy signals if the HTF structure is bullish and Sell signals if the HTF structure is bearish, keeping you aligned with the dominant money flow.
3. The Doji Candle (The Trigger)
The final entry catalyst is the Doji candlestick—a pattern signifying extreme indecision and exhaustion of the current move. The indicator scans for Dojis that form strictly in the immediate proximity of the 7 static levels. This signals that the market is pausing exactly at a key area, setting the stage for a potential reversal.
Trading Logic (Entry Signals)
· 📈 LONG (BUY) Signal: Price is trading near a Static SUPPORT line + HTF Trend is BULLISH + A Doji forms at that level.
· 📉 SHORT (SELL) Signal: Price is trading near a Static RESISTANCE line + HTF Trend is BEARISH + A Doji forms at that level.
Customizable Inputs
· Levels: Manually configure the 7 price levels to match your specific asset (Forex, Crypto, Stocks, or Indices).
· Trend Settings: Select your preferred Higher Timeframe (e.g., 15m, 1H, 4H, Daily) and the smoothing method for trend detection.
· Doji Sensitivity: Adjust the body-to-range ratio to define how "strict" the Doji detection should be.
Best Practices
This indicator performs optimally on lower-to-mid timeframes (5-minute to 1-hour) while utilizing a 4-Hour or Daily HTF filter. Always look for price rejection (long wicks) alongside the Doji to confirm the signal before entering a trade. No indicator is infallible—please use proper risk management and stop-losses. 指標
Volatility Squeeze Ignition [MarkitTick]💡 A multi-dimensional analytical engine designed to detect periods of extreme market consolidation and validate the subsequent directional expansion. By measuring the mathematical relationship between standard deviation and average true range, this tool identifies equilibrium zones where price action compresses and stores kinetic energy. Rather than reacting blindly to every volatility spike, the script employs a sophisticated filtration matrix that evaluates underlying volume delta, higher timeframe macro-trend alignment, directional movement strength, and immediate candlestick morphology. This creates a rigorous framework that authenticates breakout signals, ensuring that traders only focus on high-probability momentum ignitions supported by definitive market conviction.
✨ Originality and Utility
Standard volatility indicators often generate breakout signals without providing any insight into the underlying market participation or the structural validity of the move. This system distinguishes itself by integrating a state-tracking memory engine that monitors the cumulative buying and selling volume specifically during the compression phase. This continuous volume delta tracking allows the system to pre-assess the directional bias before the actual breakout materializes. Furthermore, it incorporates a dynamic risk-to-reward projection matrix mapped directly onto the chart. It calculates stop-loss zones and sequential take-profit levels based on the exact width of the preceding volatility squeeze. This creates a completely self-contained analytical environment that bridges the critical gap between signal generation and precise trade management, eliminating the need for discretionary target plotting and manual risk calculations.
🔬 Methodology and Concepts
● The Volatility Squeeze Engine
The core mechanics rely on the precise interplay between Bollinger Bands and Keltner Channels. A squeeze state is formally activated when the Bollinger Bands contract entirely within the boundaries of the Keltner Channels. This condition signifies that the market's standard deviation has fallen below its historical true range, indicating a profound period of low volatility and liquidity resting. The system mathematically locks in the exact width of the bands at the onset of this compression. An ignition signal is mathematically validated only when the price decisively breaks outside the Bollinger Bands, provided the bands have begun to expand.
● Volume Delta Profiling
While the squeeze state is active, the script meticulously aggregates the volume of up-closing bars versus down-closing bars. This builds a cumulative delta sum. When a breakout triggers, the system references this stored delta to ensure that the directional break is fully supported by the actual volume flow accumulated during the consolidation phase, preventing false breakouts engineered by low-liquidity spikes.
● Multi-Dimensional Filtering
The breakout validation process is governed by a rigorous confluence matrix:
Higher Timeframe Alignment: Evaluates a simple moving average on a higher resolution chart to ensure the breakout trades strictly in the direction of the macro trend, utilizing a secure, non-repainting data referencing architecture.
Trend Strength Evaluation: Integrates the Average Directional Index to demand a minimum trend strength threshold, actively filtering out choppy, sideways market noise.
Candlestick Morphology: Evaluates immediate, candle-by-candle price and momentum interaction. The real body of the breakout candle must constitute a specific percentage of the total high-to-low range, confirming definitive and immediate market conviction rather than relying on lagging divergences.
Volatility Expansion: Compares the current channel width against the locked width from the start of the squeeze, ensuring the breakout is accompanied by a genuine expansion in market volatility.
🎨 Visual Guide
● Chart Overlays
Active Squeeze Background: A subtle blue vertical background highlight appears when the volatility squeeze is actively compressing.
Breakout Backgrounds: A vibrant teal background signals a confirmed bullish squeeze ignition, while a vivid crimson background highlights a bearish squeeze ignition.
BB Basis Line: A solid blue line representing the central moving average of the standard deviation channel.
KC Lines: Muted, semi-transparent lines mapping the upper and lower boundaries of the true range channel.
● Trade Management UI
Entry Line: A dashed blue line marking the exact closing price of the validated breakout candle, accompanied by a dynamic price label.
Stop Loss (SL) Line: A solid, thick crimson line indicating the invalidation level. Depending on user settings, this is positioned either at the opposite channel edge or calculated via an ATR multiplier. A red translucent fill connects the Entry to the SL, visualizing the exact risk zone.
Take Profit (TP) Lines: Three distinct dashed teal lines representing sequential profit targets, derived from Fibonacci extensions of the locked squeeze width. A green translucent fill highlights the total reward zone from the Entry to TP3.
● Information Dashboard
A comprehensive heads-up display anchored to the chart corner providing real-time telemetry on the system's state:
Squeeze Status: Displays whether the compression is currently ACTIVE or OFF, alongside a graphical progress bar.
Sqz Bars: A numerical count of how long the current squeeze has been compressing.
BB Width %: A visual gauge showing the current width of the standard deviation channel relative to its basis.
Delta Bias: Highlights the dominant accumulated volume direction (BULLISH, BEARISH, or NEUTRAL) colored dynamically in teal or crimson.
R:R Metrics: Real-time calculation bars showing the exact risk-to-reward ratios for all three take-profit targets based on the current active signal.
Filter Diagnostics: Individual status readouts for HTF Trend, ADX, Body Strength, and Volume Confirmation, allowing traders to instantly see which filters are passing or failing.
📖 How to Use
● Identifying Setups
Traders should monitor the chart for the appearance of the blue active squeeze background. During this phase, direct your attention to the Dashboard to monitor the "Delta Bias" and "Sqz Bars" count. A longer squeeze accompanied by a strong, building Delta Bias indicates a high-probability impending breakout. Wait for a confirmed candle close that breaks the channel limits, triggering the vibrant teal or crimson background.
● Managing Trades
Once an ignition signal fires, the script automatically projects the entry, stop-loss, and three take-profit levels. Traders can use the SL line to place their initial protective stop. As price approaches TP1, traders may consider scaling out a portion of their position and trailing their stop loss to the Entry line to secure a risk-free trade. The graphical risk and reward fills visually assist in quickly assessing if the projected trade meets your personal risk parameters before execution.
⚙️ Inputs and Settings
● Core Parameters
BB Range: Defines the calculation range for the standard deviation channel.
BB Mult: The standard deviation multiplier determining the width of the outer bands.
KC Range: Defines the calculation range for the average true range channel.
KC Mult: The multiplier dictating the width of the Keltner Channels.
Min Squeeze Bars: The absolute minimum number of consecutive compressed bars required before a valid ignition can be fired.
● Filters
Require Volume Confirmation: Toggles the volume delta tracking engine.
HTF Trend Filter: Activates the macro-trend alignment requirement, preventing counter-trend breakout signals.
ADX Trend Strength Filter: Enables a strict momentum threshold requiring the market to be actively trending.
Candle Body Strength Filter: Enforces a structural rule where the breakout candle's body must meet a minimum size relative to its wicks.
● Trade Tools & Alerts
SL Mode: Allows traders to select between a structural stop loss at the opposite channel edge or a volatility-based ATR stop.
TP1, TP2, TP3 Fib: Customizable Fibonacci multipliers that project the profit targets based on the original width of the market squeeze.
Dashboard Settings: Toggles the visibility and positional anchoring of the telemetry table.
Alert Actions: Advanced JSON-formatted string inputs allowing traders to define precise webhook payloads for entries, exits, and target hits, enabling seamless automated execution.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Volatility Compression Theory
The fundamental architecture of this script is rooted in the cyclical nature of market volatility, which oscillates continuously between periods of extreme contraction and aggressive expansion. By cross-referencing standard deviation against an absolute measure of true range, the algorithm quantitatively identifies the inflection points where liquidity providers pull back and the market reaches a state of unnatural equilibrium. The mathematical locking of the channel width captures the precise kinetic energy stored during this phase, applying principles of mean reversion and standard deviation expansion to project the statistical probability of the ensuing vector move.
● Order Flow and Delta Mechanics
To move beyond simple price derivatives, the system incorporates an approximated order flow model through its volume delta profiling. By segmenting traded volume into up-closing and down-closing aggregates during the compression state, the script builds a proxy for aggressive market participation. This mechanism relies on Auction Market Theory, assessing the imbalance between aggressive buyers lifting the offer and aggressive sellers hitting the bid. When the mathematical breakout aligns with the underlying delta accumulation, the script confirms that the price displacement is driven by genuine institutional or macroscopic participation, significantly reducing the statistical likelihood of a mean-reverting liquidity sweep.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. 指標
ICT Killzones & Key Levels -DST- By SpartanICT Killzones & Key Levels -DST- By Spartan
This tool brings together the reference levels that ICT-style session traders build their bias around, so you are not stacking four or five separate indicators on one chart to get them. Killzone session ranges, their pivot highs and lows, Fibonacci retracements of each session's range, and the higher-timeframe opens, highs, lows, and time markers that traders use to judge context all come from the same underlying session and time data. Keeping them in one script means they stay in sync with each other and with the timeframe/timezone settings you choose, instead of drifting apart the way separately-configured indicators can.
This indicator's strongest feature is the automatic daylight saving time adjustment for each session as it uses real time zones of each session and adjusts automatically rather than having to change them each time the clock is changed anywhere
WHAT IT DOES
Killzone sessions
Draws boxes around the Asia, London, and New York killzone sessions. Each session's time range is entered in that session's own local time (UTC for Asia, Europe/London for London, America/New York for New York) and automatically adjusts for daylight saving, so you never have to manually shift the input twice a year.
Pivots
Marks each session's high and low as extending lines, with optional labels showing price. Pivots can extend until price mitigates them or continue past mitigation, and can alert you when a session high or low is broken.
Fibonacci levels (new in this version)
Each session can independently plot 0, 0.25, 0.5, 0.75, and 1 retracement levels of its own range. These update live while the session is still forming and lock in place once the session closes, so you can watch how a session's midpoint and quartiles evolve in real time rather than only seeing them after the fact. Colors automatically match each session's own color so the chart stays readable.
Midpoints
Optional midpoint line for each session's pivot range, with the choice to stop tracking once price mitigates it or keep tracking through the session.
Killzone range table
An optional table showing each session's most recent range and its rolling average over a configurable number of past sessions, so you can gauge whether the current session is expanding or contracting relative to its recent history.
Day / Week / Month tools
Optional open lines, high/low lines, and separators for the daily, weekly, and monthly timeframes, each with independent alerting on high/low breaks.
Custom opening prices and timestamps
Up to eight custom time-of-day open markers (for marking things like true day open or other reference times you track) and four vertical timestamp lines, both independently configurable.
Day-of-week labels
Optional labels marking the start of each weekday on intraday charts, with the option to hide weekend labels.
HOW TO USE IT
Turn on the sessions you trade, set the killzone range and pivot options to match how you use highs/lows and mitigation, and enable Fibonacci levels on whichever sessions you want retracement context for. The killzone range table is useful for a quick read on whether the current session is unusually wide or narrow. The Day/Week/Month and custom time tools are there if you also reference higher-timeframe opens or specific times of day, but are fully optional and off by default so the chart stays clean if you only want killzones.
CREDIT AND ORIGINALITY
The killzone box, pivot, and DST-safe session-detection logic in this script is built on tradeforopp's open-source "ICT Killzones & Pivots" indicator. This version adds session-independent live-updating Fibonacci retracement levels (not present in the original), a reorganized and more clearly labeled settings panel, and several fixes to line/label handling in the underlying session logic. Published open-source in keeping with the license of the code it builds on.
This is a level-marking and context tool, not a signal generator or a strategy. It does not predict future price movement or guarantee any outcome; it plots historical and forming session data so you can build your own read of the market around it. 指標
Buy Sell Badge with DMI by ByblloBuy Sell Badge with DMI by Bybllo
At its core, this indicator combines two independent Buy/Sell signal sources into one badge system: (1) a basic Fast/Slow EMA crossover ("BSB"), and (2) a DMI-based signal built from the golden cross (DI+ crossing above DI-) and dead cross (DI- crossing above DI+) of the Directional Movement Index, filtered by a minimum ADX threshold.
The EMA crossover generates the base Buy/Sell signal, then automatically manages an ATR-based stop loss and a risk:reward-based take profit for each signal, showing the resulting entry/stop/target levels directly on the chart along with a live status table. The DMI golden-cross / dead-cross engine can be enabled as a confirmation filter on top of that: when turned on, a badge is only shown if a matching DMI cross (with ADX above a configurable threshold) occurs within a set number of bars of the EMA signal. In practice, this acts as a noise-reduction filter — choppy, low-conviction EMA crossovers with no matching directional strength behind them are suppressed, so only badges backed by both a trend-following signal and a directional-strength signal are actually displayed.
Key Features
Fast/Slow EMA crossover generates the base Buy/Sell signal, with an optional candle-confirmation requirement (close beyond open in the signal direction).
Automatic ATR-based stop loss and configurable Risk:Reward take profit are calculated for every new signal, with intermediate take-profit levels plotted when Risk:Reward is greater than 1.
Optional "BSB + DMI" confirmation filter: a badge is only shown when a DMI golden cross or dead cross, confirmed by ADX above your threshold, occurs within a configurable bar window of the EMA signal, in either order. This suppresses noisy, low-conviction EMA crossovers and leaves only the badges that are backed by both signals.
On-chart entry / stop-loss / take-profit lines and an SL distance (in points) label, both toggleable and only shown while a badge has actually been displayed for the active position.
Take-profit, stop-loss, and "invalidated" (opposite signal fired before target/stop was hit) markers are plotted separately so you can see exactly how each trade idea played out.
A live status table (top-right) shows the current position, entry, stop loss, take profit, and realized Risk:Reward.
Real-price calculation via request.security() keeps signals consistent regardless of chart type (Heikin Ashi, Renko, etc.).
A full set of alertcondition() calls for BSB-only signals, BSB+DMI confirmed signals, take-profit hits, stop-loss hits, and invalidated entries.
How to Use
Leave "BSB + DMI" unchecked to use the EMA crossover badges on their own (fastest signals, no directional-strength filter).
Check "BSB + DMI" to require that a DMI golden cross (for Buy) or dead cross (for Sell), confirmed by ADX, also occurs near the EMA signal — this filters out noise and typically reduces the number of badges, but favors signals that also have directional strength behind them.
Watch the on-chart entry/SL/TP lines and the status table to track an open idea's risk and progress in real time.
Set up alerts on the "BSB+DMI Buy/Sell", "Buy/Sell Signal", "Take Profit Hit", "Stop Loss Hit", or "Entry Invalidated" conditions depending on which events you want to be notified about.
Notes
The "EMA Badge Spacing" and "DMI Badge Spacing" inputs each apply their own cooldown to prevent duplicate signals firing on consecutive bars; keep the DMI spacing aligned with the badge spacing you use on other DMI-based indicators if you compare them side by side.
Stop-loss and alert-sensitivity offsets are point-based and will need adjusting per instrument (see the tooltips on those inputs).
This indicator does not place real orders; it is a visual / alerting tool for tracking a rules-based EMA + DMI golden-cross/dead-cross trade idea. 指標
