Key Levels for FuturesWhat this does
Key Levels draws the ten reference prices that most intraday traders end up marking by hand
every morning: the previous month's high and low, the previous week's, the previous day's
regular-session high and low, the London session's, and the premarket's.
They are drawn automatically, they update themselves, and — the part that took the most work —
their tags stay on screen no matter where you scroll.
The ten levels
Tag
Level
Window
MH / ML
Previous month high and low
calendar month
WH / WL
Previous week high and low
calendar week
PDH / PDL
Previous day high and low
RTH 09:30–16:00 ET
LH / LL
London high and low
03:00–08:00 ET
PMH / PML
Premarket high and low
04:00–09:30 ET
Every window is an input, so if your definition of London or premarket differs from mine, change
it. ICT traders who want the London killzone instead of the full session can set it to
0200-0500.
Colour tells you two things at once
Most level indicators give you a pile of horizontal lines that all look alike, and you end up
squinting at the tag to work out what you are looking at. This one encodes the information in
the colour itself.
Hue tells you the timeframe. The palette runs cool to warm as the timeframe shortens:
Violet — monthly, the most structural
Blue — weekly
Cyan — previous day
Amber — London, overnight
Magenta — premarket, the most immediate
Shade tells you the side. Lighter for the high, deeper for the low.
So a deep violet line is the previous month's low and you know that at a glance, without
reading anything. Weekly and monthly levels also draw one step thicker than the intraday ones,
so the structural prices read first when the chart gets busy.
All ten colours, the line width, the tag size and the tag position are inputs. If you disagree
with the palette, it takes ten seconds to change.
Tags that do not run away
The usual approach puts level tags a fixed number of bars to the right of the last candle.
Scroll back to look at something and the tags vanish off the right edge, and you are left
guessing which line is which.
These tags anchor to chart.right_visible_bar_time, so they sit at the right edge of whatever
you are currently looking at. Scroll, zoom, jump back three weeks — the tags come with you and
stay readable. Each shows its abbreviation and, optionally, the exact price.
Weekly and monthly: settled or developing
Both default to the previous completed period — a level that is finished and will not move,
which is how PDH and PDL already behave and what most people mean when they say "last week's
high."
Flip either to Current and it tracks the developing period instead. Those draw dotted
rather than solid, so at a glance you can tell the difference between a level that is fixed and
one that can still be extended by the next candle.
On repainting
Nothing here repaints.
The previous week and month values are read with the standard offset and lookahead_on,
which returns the last completed period and nothing about the current one. The developing week
and month values are accumulated bar by bar on the chart series, so no higher-timeframe request
is involved at all. The session levels build up from the bars as they close.
A level appears when the data that defines it exists, and never changes afterwards.
Settings
Show / Hide — every pair independently. Ten levels is a lot on a quiet chart; turn off what
you are not using today.
Sessions — the London, premarket and RTH windows, plus previous-vs-current toggles for the
week and month.
Style — line width (weekly and monthly automatically draw one step heavier), how far the
tags sit in from the right edge, tag size from tiny to normal, and whether to include the price
in the tag.
Colors — all ten, individually.
Notes
Use an intraday chart. Session windows mean nothing on a daily or higher chart, and the
indicator will tell you so on screen.
On stocks, enable Extended Trading Hours or the premarket and London bars will not exist
and those levels will stay blank. Futures are fine as they are.
Session levels are calculated on the chart timeframe. On any timeframe whose bars line up
with the session boundaries — 1, 2, 3, 5, 10, 15, 30 and 60 minute all do, since the windows
start on the hour or the half hour — this is exact. On an unusual timeframe such as 7 minutes,
a level can be off by one bar's high or low.
Ten tags will overlap when levels cluster. Drop the tag size to Tiny or hide the pairs you
are not watching. Indicador
Range Breakout by AVRange Compression Breakout
Volatility compression and expansion system
Range Compression Breakout automatically detects periods of low-volatility consolidation, draws and maintains the range in real time, and signals when price transitions into expansion.
How it works
Compression is measured relative to the market's own recent behavior rather than a fixed price distance. In Adaptive Percentile mode, a range qualifies when its high-low span sits among the quietest percentile of its recent history — so the same settings work across futures, FX, crypto, and equities without retuning. ATR Multiple mode is also available for a fixed volatility-based threshold.
Once a range is detected, the box is dynamic. While price stays contained, the box expands to absorb new highs and lows, capturing the full churn of the consolidation instead of resetting on every probe.
Signals
Break — price closes decisively beyond the boundary plus a buffer, with optional multi-bar confirmation and an optional volume-spike filter.
Wick Long / Wick Short — a failed probe outside the range that closes back inside on a long wick, confirmed by the following bar, indicating mean reversion toward the midline.
A cooldown period after each break prevents the box from immediately reforming on the expansion move.
Settings
Four preset profiles — Tight Ranges for low-timeframe scalping, Normal Ranges for intraday, Swing Trading for multi-day consolidations, and Options Selling for extended sideways chop — each configuring lookback, tightness, minimum bars, confirmation, and cooldown. Custom mode exposes all parameters. Box fill, borders, midline, and signal colors are fully adjustable, and each signal type toggles independently.
Alerts
Range Detected, Range Breakout, Breakout with Volume Confirmation, and Range Reversal.
Notes
Volume confirmation should be left off on spot FX and other symbols reporting tick-based volume. Diagnostic values including the range-to-ATR ratio and compression state are available in the Data Window for calibration. Indicador
Multi Timeframe (i)FVG Analysis [BMT]Multi Timeframe (i)FVG Analysis
Fair value gaps and inverted fair value gaps on the chart timeframe and up to three higher timeframes, with a lifecycle per gap, relevance filters so a higher-timeframe view does not bury the chart, a directional bias that filters what you see and hear, and alerts.
WHAT IT DRAWS
A fair value gap (FVG) is a three-bar imbalance: a bullish FVG is the space between bar one's high and bar three's low when bar three's low is above bar one's high and bar two closed above it; a bearish FVG is the mirror. Each gap is a box from the bar that formed it, with an optional dotted midpoint line.
Every gap has three states, tracked separately on every enabled timeframe:
FVG : live, price has not closed through it.
iFVG (inverted) : price has closed through the far side. A bullish FVG that fails becomes a bearish iFVG and is redrawn in the iFVG color; a bearish FVG that fails becomes a bullish iFVG. The inverted level is drawn brighter than a plain FVG because it is the more actionable one.
Mitigated : price has closed back through an iFVG, and it is removed.
The mitigation test can be the close (default) or the high and low.
TIMEFRAMES
One row per timeframe: the chart timeframe plus H1, H2 and H3. Each row has its own timeframe, a Both / FVG / iFVG / Off switch, and a display filter. Off skips that timeframe entirely, including its data request. "auto" picks a higher timeframe paired to the chart timeframe (1 to 15, 5 to 60, 15 to 240, 60 to daily, and so on).
The defaults draw the chart timeframe only. Turn a higher timeframe on from its Off switch; the rows come preset to 15 minutes, 1 hour and 4 hours.
FILTERS
Three per timeframe.
All draws every live box.
N draws the newest N per side.
ATR draws only boxes within N ATRs of the current price, measured with that timeframe's own ATR(14) rather than the chart's, so "within 1 ATR" means the same thing on a 4-hour box and a 5-minute one.
The lookback is settable (300 bars by default). Boxes run a settable number of bars from where they formed, measured in chart bars by default so a higher-timeframe box does not take over a low-timeframe chart, or in the box's own timeframe if you prefer the longer projection. Extend Boxes runs every live box to the right edge, capped at a settable number of bars past the last bar.
BIAS
Neutral, Bullish or Bearish. It filters what is drawn and which alerts fire; every gap is still tracked underneath, because a gap against your bias is the one that may invert your way.
Bullish: bullish FVGs and bullish iFVGs drawn normally, bearish FVGs dimmed as inversion candidates, bearish iFVGs hidden. Alerts fire for a bullish FVG forming, a bearish FVG inverting, and price entering a bullish FVG. Bearish is the mirror. Neutral shows everything.
ALERTS
Six conditions in the alert dialog, each covering any enabled timeframe:
bullish FVG formed,
bearish FVG formed,
bullish FVG inverted,
bearish FVG inverted,
price entered a bullish FVG,
price entered a bearish FVG.
"Entered" fires the first time the chart bar trades inside a live gap.
Turn on "Send alert() messages" and choose "Any alert() function call" to get one message per event that names the symbol, the timeframe and the gap's levels. Events fire on every tracked gap whether or not the display filter is currently showing it. Without "Wait for bar close", a chart-timeframe gap is reported as soon as it appears intra-bar and can be withdrawn if the bar closes back over it.
THEME
Auto reads the chart background and picks light or dark. Light is the traditional green and red. Dark is built for a dark canvas: fills sit a little above the background so they do not fight the candles, and the two sides are matched in brightness rather than in transparency. Custom exposes the six colors, the border, and the counter-bias dim as inputs, since box colors are not on the Style tab.
STATUS TABLE
Optional, hidden by default. One row per timeframe with the filter in use and live counts of FVGs and iFVGs per side, plus the chart ATR.
NOTES
Every higher timeframe is one request.security call. A gap on a higher timeframe is detected when that timeframe's bar prints it, not on close, unless "Wait for bar close" is on.
Indicador
KTI-G (Known Trends Index-Gold)█ OVERVIEW
Known Trends Index - Gold (KTI-G) plots, in a separate pane, a daily integer score that sums the calendar patterns in force on each trading day of a gold chart. The thesis is that gold's seasonal tendencies are better tested by letting the chart's own history define the profile, with a hard in-sample cutoff, than by hardcoding windows taken from published sources.
█ HISTORY / BACKGROUND
The index design follows the Known Trends Index that Jay Kaeppel described for the US equity market: each known seasonal trend contributes one point while it is active, and the sum is read as a favorable, neutral, or unfavorable climate rather than as a trade signal. This script applies that summation structure to gold and changes what the components are.
The literature on gold seasonality has not aged well at the level of specific months. A 2013 academic study of London gold prices from 1980 to 2010 found September and November to be the only months with positive and statistically significant returns. A 2024 replication reported a structural break around December 2010, after which those two months turned negative and January became the significant month. Practitioner windows for gold, including Kaeppel's own trading-day-of-year windows for gold futures, describe the same broad second-half and winter tendency with dates that differ by source.
The one part of the story with a physical mechanism is demand. Indian jewelry buying peaks around Diwali and the wedding season that follows it, and Chinese buying rises in the weeks before the lunar new year. Both festivals move on the lunar calendar, so fixed calendar dates describe them poorly.
The script therefore keeps three fixed components with a stated rationale (physical demand with lunar dates, turn of month, and September as a contested pattern), keeps Kaeppel's windows only as an optional comparison overlay, and gives the largest role to an empirical profile learned from the chart with no lookahead.
█ HOW IT WORKS
All date arithmetic runs on GMT-noon timestamps built from the bar's year, month, and day, so the logic is independent of the chart's exchange timezone. A US market holiday calendar is generated for the current year plus one year on either side (New Year's Day, Martin Luther King Day from 1998, Presidents Day, Good Friday by the Gregorian Easter algorithm, Memorial Day, Juneteenth from 2022, Independence Day, Labor Day, Thanksgiving, Christmas). A trading day is a weekday not in that calendar.
Two counters are maintained per bar: the trading day of month (TDOM) and the trading day of year (TDY). TDY is computed by counting calendar trading days between consecutive bars, so it stays correct across missing bars in the chart data.
The components are computed in this order.
1. Empirical profile. Two arrays of 252 slots accumulate the sum and count of daily returns (close divided by prior close, minus one) by TDY. On each bar the component is scored first, using only what has already been accumulated, and the bar's own return is added afterward. The score compares the smoothed profile for the bar's TDY against the unconditional mean daily return: the smoothed value is the mean return over a circular window of plus or minus the smoothing half-width in TDY slots. The score is +1 when the smoothed value exceeds the unconditional mean by the threshold, -1 when it falls below the mean by the threshold, and 0 otherwise. No score is produced until the accumulated count reaches the minimum number of years multiplied by 250. Accumulation stops after the training end date when the freeze option is on; otherwise it continues as an expanding window. TDY values above 252 fold into slot 252.
2. Physical demand. Diwali is computed for the prior and current year as the new moon nearest November 1, taken as a date in India Standard Time. Chinese New Year is computed for the current and next year as the second new moon after December 21 of the preceding year, taken as a date in Beijing time. New moon instants come from the Meeus mean-phase series with the fourteen largest periodic corrections. The component is +1 from 15 calendar days before Diwali through 45 days after it, and from 30 calendar days before Chinese New Year through the day before it. Overlapping windows do not add.
3. Turn of month. +1 on the last two trading days of a month and the first trading day of the next month.
4. September. The user-set September weight on every bar in September, 0 by default.
5. Kaeppel overlay. Off by default. When on, +1 for TDY 250 through year end and TDY 1 through 38, -1 for TDY 39 through 134, +1 for TDY 135 through 188, -1 for TDY 189 through 249.
KTI-G is the sum of the five components. With default settings the possible range is -3 to +4.
On the last bar of a daily chart the script walks every calendar day from January 1 of the current year through February 28 of the next year, rebuilding TDOM and TDY along the way, evaluates the same component function for each future trading day after the current bar, and draws one box per nonzero value in the right margin. The projection uses the profile arrays as they stand on the last bar. The boxes are deleted and redrawn once per new trading day.
█ HOW TO USE
Apply the script to a daily chart of a gold futures continuous contract, a gold bullion fund, or a gold miner proxy. The code is written for daily bars because every component is defined per trading day; on any other timeframe the main plot returns na and the table shows a notice.
The column plot is the index. Teal columns are readings of 2 or higher, gray columns are 0 or 1, red columns are -1 or lower. Two dotted horizontal lines mark the boundaries at 1.5 and -0.5, and a solid line marks zero. These zone cutoffs are the author's choice and are not taken from any published source; they should be re-examined after inspecting the distribution of readings on the chosen symbol.
The semi-transparent boxes to the right of the last bar are the projected index for each future trading day through February 28 of next year, colored by the same zone rule. A small label marks the first projected day. Zero-value future days draw no box.
The table in the top right shows the current reading, the value and sign of each active component, the profile deviation from the mean in basis points per day, the TDY, whether the bar is in-sample or out-of-sample relative to the training end, the number of training days accumulated, and the computed dates of the current year's Diwali and next year's Chinese New Year.
Eight hidden series are available in the Data Window and in chart data export: each of the five components, the profile deviation in basis points, the TDY, and an in-sample flag. These exist so that the components active during any drawdown can be inspected bar by bar.
The intended use is diagnostic. With the freeze option on, every bar after the training end date is a clean out-of-sample test of whether the seasonal shape learned from the earlier period persisted on that symbol. Comparing the frozen result against the expanding-window result shows whether the shape moved.
█ SETTINGS
Show active components (on): draws the table.
Project through Feb 28 of next year (on): draws the forward projection boxes and label.
Empirical profile
• Empirical TDY profile (on): includes the empirical component in the sum.
• Training end (2010-12-31): last date whose return is accumulated into the profile when freezing is on. The default is the break date reported in the 2024 replication study.
• Freeze profile at training end (on): stops accumulation after the training end. Off gives an expanding window that keeps learning.
• Smoothing half-width (10): number of TDY slots on each side of the current slot averaged together, 0 to 40.
• Threshold vs. mean (3.0 bps/day): the profile must differ from the unconditional mean by this amount to score +1 or -1.
• Minimum years before scoring (10): the empirical component returns 0 until this many years of daily returns, at 250 per year, have been accumulated.
Fixed components
• Physical demand, lunar Diwali + CNY (on).
• Turn of month (on).
• September weight (0): -1, 0, or +1 applied on September bars.
• Kaeppel TDY windows overlay (off).
█ WHAT MAKES IT ORIGINAL
The script combines four things that are not, to the author's knowledge, found together in a published gold seasonality indicator.
First, the seasonal profile is learned from the chart with no lookahead and a user-set in-sample cutoff, so the out-of-sample record of gold seasonality on any symbol can be read directly from the plot rather than inferred from a fixed set of published dates.
Second, the demand component uses computed lunar dates for Diwali and Chinese New Year, generated in the script from a new-moon series, instead of fixed Gregorian windows that drift against the festivals by up to a month.
Third, the trading-day-of-year and trading-day-of-month counters are built from a generated holiday calendar and count calendar trading days between bars, so the index is robust to gaps in the symbol's data and can be projected forward for dates that have no bars yet.
Fourth, every component is exposed as its own series so that a reading can be decomposed on any historical bar, which is the step needed to find out which pattern was active when the index was wrong.
█ NOTES / LIMITATIONS
• The empirical component needs at least the minimum years of daily history before the training end date to score at all. A symbol whose data begins after the training end never scores that component while freezing is on; lower the minimum, move the training end, or turn freezing off. The table's training-day count shows how much history has been used.
• The main plot is na on any timeframe other than daily, and the table displays a notice.
• There is no request.security call and no lookahead. The empirical score on a bar uses only returns from earlier bars. The projection boxes and table are rebuilt on the last bar only; historical columns do not repaint.
• The forward projection is date-bounded at February 28 of the year after the chart's last bar. It rolls forward each calendar year and is not extended beyond that date.
• The projection uses the profile as it stands on the last bar. With freezing off, the projected values can change from day to day as the profile continues to learn.
• Trading-day math uses a US exchange holiday calendar. Gold futures trade on a calendar that differs by a day in some years, and special unscheduled closures are not modeled, so TDY values can be offset by one relative to a futures exchange count in those years.
• Diwali and Chinese New Year dates are computed astronomically and can differ from the observed festival by one day. Rare lunar leap-month cases for Chinese New Year are not handled.
• The zone thresholds and the demand window lengths are the author's constructions. Published seasonal patterns have shown decay after publication, and nothing in this script should be read as a forecast.
• The script uses up to 500 boxes for the projection; a projection window of roughly 300 trading days stays within that ceiling. Per-bar loops are bounded by the smoothing window (at most 81 slots) and the calendar-day gap between consecutive bars. Indicador
Linear Regression Channel Visible Range Volume ProfileLR Channel VRVP — Linear Regression Channel + Visible Range Volume Profile
A multi-factor overlay that blends Linear-Regression-smoothed candles with a true Visible-Range Volume Profile, a statistical mean channel, Bollinger Band %, adaptive percentile bands, and auto-merging pivot Support/Resistance. Designed for traders who want a single clean visual that answers four questions at once: (1) Where is price relative to its statistical envelope? (2) Where has volume actually traded? (3) Where has the market accepted or rejected value? (4) Where are the extremes that are outside the standard deviation?
⚠️ Important note on the Volume Profile zone labels
The 68.2% and 95.45% Volume Profile zones are volume-coverage thresholds inspired by the 1σ/2σ probabilities of a normal distribution; they are not calculated standard deviations of the volume distribution. They are just shown as an analog representation of standard deviation.
The Volume Profile is not assumed to be normally distributed. The "±1σ" and "±2σ" labels are used as convenient shorthand because the 68.2% and 95.45% coverage percentages correspond to the familiar 1σ and 2σ bands of a Gaussian or Bell Curve. The actual values are computed by expanding outward from the POC until the specified percentage of traded volume is captured — a purely empirical calculation that makes no distributional assumption.
🔹 What's on the chart
Linear Regression Candles
The candles you see are not raw OHLC. Each of the four price points (open, high, low, close) is independently smoothed by a rolling linear regression over N bars (default 20). This removes intrabar noise while preserving the underlying trend slope, and produces candles whose shape reflects the smoothed market rather than the last tick.
Doji detection runs on the smoothed values: a candle is a doji when its body is ≤ 8% of its range and both upper and lower wicks are larger than the body. Dojis frequently appear at regression inflection points. On the chart, they are represented as yellow candles.
Static Mean Channel
A simple SMA(length) ± 2 × stdev(length) envelope (default 50). This is your statistical "normal" range. Price inside the channel = rotation. Price outside = extension. The channel fill is colored by regime (see below).
Visible-Range Volume Profile (right edge)
On every realtime tick the script rebuilds a volume profile across the currently visible bars. Each bar's volume is split into an up-volume / down-volume proxy based on whether the bar closed above or below its open, then distributed into price bins proportionally to the overlap between the bar's range and each bin. This is a proxy, not a true bid/ask tape read — it uses candle direction as a stand-in for aggressive buying vs. selling.
Three nested volume-coverage zones are drawn:
POC — Point of Control, the single bin with the highest traded volume. Solid yellow line extending left. The POC is a highest-volume price / acceptance reference, not a "fair value" in any valuation sense.
68.2% Value Area (VAH / VAL 34.1%) — dashed white lines. The volume-weighted band that captures 68.2% of traded volume around the POC. Comparable to a ±1σ analogy.
95.45% Extended Value Area (±47.7%) — solid purple lines. The band that captures 95.45% of traded volume around the POC. Comparable to a ±2σ analogy. I personally like to enter my trades at or outside of this area.
Bars outside the 95.45% zone are painted red to mark thinly traded / low-acceptance areas — price levels where the market spent little time and may be more prone to fast traversal. This is a low-acceptance highlight, not a proof of rejection.
Percentile Nearest Rank Bands
Symmetric grey dotted lines at mean ± PNR(|close − mean|, N). Unlike stdev bands, PNR uses the actual empirical distribution of price deviations, so it does not assume normality. On trending instruments this gives a much more honest "extreme" reading of price moves.
Support / Resistance (pivot-based, auto-merging)
Swing highs and lows are detected with a configurable lookback. When a new pivot lands within 0.5 × ATR of an existing level, the two are averaged into a single line instead of drawing a redundant one. Oldest levels are trimmed past the configured cap so the chart stays readable.
🔹 Candle colors — what each one means
🟢 Green (default bull) - Smoothed close > smoothed open, and LinReg close is inside the mean channel. Indicates a normal bullish bar in a neutral/slightly-bullish regime.
🔴 Red (default bear) - Smoothed close ≤ smoothed open and LinReg close is inside the mean channel. Indicates a normal bearish bar in a neutral/slightly-bearish regime.
🔵 Blue - LinReg close > upper band (bull bar) or LinReg close < lower band (bear bar). Indicates price has extended beyond the mean channel — early warning of a stretched move.
🟡 Yellow - Doji (body ≤ 8% of range with wicks on both sides) indecision. Often marks regression inflection points. Overrides all other colors.
🟦 Cyan (customizable) - Bollinger %B > 1, RSI overbought and price is outside both outer bands of the channels — or the mirror condition on the downside. These fully align three extreme conditions: oscillator stretched, price outside mean channel, price outside empirical PNR band. This is the strongest "everything is stretched" state. Dojis still override it.
Color priority (highest wins):
Doji → yellow
Extreme override enabled & condition met → cyan
LinReg close outside mean channel → blue
Otherwise → green / red
🔹 Background colors — what each one means:
🟩 Green vertical band ("Buy Zone BG") = Bollinger %B < 0 AND RSI < oversold threshold (30/40 depending on channel length). Price is trading below the lower Bollinger band and RSI confirms oversold. A classic mean-reversion / accumulation context.
🟥 Red vertical band ("Sell Zone BG") = Bollinger %B > 1 and RSI > overbought threshold (60/70 depending on channel length). Price is trading above the upper Bollinger band and RSI confirms overbought. Classic distribution / exhaustion context.
🟪 Purple vertical band ("Prime Accumulation Zone") where the BB% and RSI are both oversold threshold = Rare triple-confirmation zone: trend momentum is elevated in both directions, %B is depressed, and RSI is oversold. Marks high-conviction accumulation setups.
🟥 Dark red vertical band ("Prime Distribution Zone") = Percentile, Bollinger %B and RSI overbought threshold (Mirror of the above). High-conviction distribution / exhaustion setups.
The red and green backgrounds are frequent — they mark every overbought/oversold reading. The purple and dark-red backgrounds are rare and should be treated as elevated-conviction signals.
🔹 Channel fill color
The area between the upper and lower mean-channel bands is filled, and the fill changes color to reflect the current regime:
Channel Fill color
🟢 Green (translucent) = Price above mean and %B above its own average. Bullish regime — buyers in control.
🔴 Red (translucent) = Price below mean or %B below its own average. Bearish / neutral regime — sellers in control.
⚪ White (translucent) = Bollinger %B > 1 or %B < 0. Extreme regime — oscillator has broken out of its own band.
🔹 Volume Profile colors
Up-volume bars (inside VA) - Teal = Volume from bars closing above open — up-volume proxy
Down-volume bars (inside VA) - Orange = Volume from bars closing below open — down-volume proxy.
Bars outside 95.45% zone - Red = Thinly traded / low-acceptance area — possible rejection zone.
POC line - Yellow = Point of Control — highest-volume price / acceptance reference.
±1σ analogy (68.2% VA) - White dashed = 68.2% volume-coverage boundary.
±2σ analogy (95.45% EVA) - Purple solid = 95.45% volume-coverage boundary.
PNR bands - Grey dotted = Empirical percentile envelope around the mean.
🔹 How to read it
Start with the profile. POC = highest-volume price / acceptance reference. The 68.2% zone = normal rotation area. The 95.45% zone = the wider coverage band. Red bars = low-acceptance areas where price moved quickly and may do so again.
Check the fill. Green fill = bullish regime; red = bearish; white = stretched oscillator.
Look for candle confluence. A cyan candle appearing at or beyond the 95.45% VP boundary, near a pivot S/R level, and inside a purple background is the highest-probability reversal context this script identifies.
Use the backgrounds as context, not triggers. Green/red bands fire frequently and are noisy alone. Purple/dark-red bands are rare and pair well with a cyan candle and a structural level.
Trend direction comes from the slope of the smoothed candles and their position relative to the mean channel — not from any single bar.
🔹 Inputs reference and controls
Linear Regression Candles - LinReg period, doji sensitivity
Static Mean Channel - SMA length (also drives RSI and PNR length)
Percentile Nearest Rank - Sensitivity threshold (default 85)
Volume Profile - Rows, width, VA %, history depth, up/down colors, outside-95.45% color, label toggle, line-extension toggle.
Support & Resistance - Pivot lookback, max levels per side, ATR merge tolerance, line width, color, label toggle.
Extreme Oscillator - Candle Color, Enable toggle, custom color.
🔹 Notes & caveats
The Volume Profile reflects the currently visible chart range. Scroll or zoom and it redraws.
The profile recomputes on every realtime tick. Initial load on long-history charts may take a moment.
The 68.2% and 95.45% zones are volume-coverage thresholds, not calculated standard deviations of the volume distribution. The ±1σ / ±2σ labels are an analogy only.
Up-volume / down-volume is a candle-direction proxy, not a true bid/ask tape classification.
"Rejected" / "low-acceptance" areas are potential rejection zones, not confirmed ones — the profile shows where volume was thin, and thin areas are prone to fast traversal, not guaranteed to reverse.
Alerts are provided for the extreme-oscillator conditions (upper and lower).
This indicator is a contextual / analytical tool. It does not generate buy/sell signals.
Pair with a separate momentum oscillator pane if you want confirmation timing.
🔹 Credits
Built with Pine Script v6 using built-in ta.* functions. Logic is original. Feedback welcome. Indicador
Volume & Movement# Volume & Movement
A separate TradingView Pine v6 indicator for comparing activity, sustained volume and candle behaviour. Uses the chart's own candles and feed volume.
## Install
1. Open a standard candlestick chart in TradingView.
2. Open **Pine Editor**, create a new indicator and replace its contents with `Volume_and_Movement.pine`.
3. Choose **Add to chart**. Save under **Volume & Movement** if you want to keep it in your account.
No extra data subscription, library or account connection is used by the script. The chart's own market-data availability still applies. Alerts require you to create an alert in TradingView; this script does not create alerts or orders automatically.
## Read the pane
The default bars compare each completed candle's volume with the immediately preceding candle:
| Reading | Meaning |
|---|---|
| 0.50× | Half as much volume |
| 1.00× | The same volume |
| 2.00× | Twice as much volume |
| 3.00× | Three times as much volume |
**Blue:** more than 10% above the previous candle. **Amber:** more than 10% below it. **Grey:** within that neutral zone, or no valid previous comparison. Colours describe the change in volume, not buying or selling. The neutral zone and all colours are adjustable.
The **slate line** compares the combined volume of the latest five candles with the five immediately before them. Example: the earlier group totals 500 and the latest group totals 800; the line reads 1.60×. These groups do not overlap within an individual comparison. Each new candle advances both windows one candle.
The dashed **1× line** is the equal-volume reference. The default scale is uncapped. If you set a visual cap, orange dots mark clipped readings; their exact values remain in the dashboard and Data Window.
You can change bar height to **Recent typical** or **Matching clock time**. The bar colours continue to show change against the previous candle. The group line always retains its own group-to-group comparison. These are distinct baselines, although all use a 1× reference.
## Purple markers
These are adjustable descriptive conditions, not predictions or trade recommendations:
| Marker | What happened | Default rule |
|---|---|---|
| **S — Busy / stalled** | High activity, small range and little net price progress | High volume; range at/below prior 30th percentile and ≤0.75× typical; close-to-close distance ≤0.5× typical range |
| **A — Busy / advancing** | High activity and a large candle closing near an edge | High volume; range at/above prior 80th percentile and ≥1.25× typical; body ≥60% of range; close in top/bottom 20% |
| **R — Busy / rejection** | High activity with a dominant wick and a recovered close | High volume; range ≥typical; wick ≥60% of range; close in upper 35% for a lower wick, or lower 35% for an upper wick |
| **L — Large move / light volume** | Large candle range despite unusually light activity | Low volume; range at/above prior 80th percentile and ≥1.25× typical |
High volume must exceed the prior 90th-percentile value **and** be at least 1.5× the baseline median. Low volume must be below the prior 20th-percentile value **and** at most 0.65× the median. Requiring both a percentile and a multiple avoids labelling tiny fluctuations as extremes. Equal values at a percentile boundary do not qualify as unusual volume.
Default baselines use the **previous 100 candles**, excluding the candle being assessed. Typical means the median. An optional setting uses the matching-time volume baseline once it has enough samples; otherwise the dashboard explicitly identifies the recent-history fallback. Candle-size baselines continue to use recent candles in either mode.
Classification priority is S, then R, then A, then L. A price gap between the previous close and the candle open exceeding half the typical candle range suppresses these shape labels and is identified in the dashboard. The volume readings still remain available where comparable.
## Time-of-day context
“Same clock time” compares volume with the median of prior candles opening at the same clock minute. Default: exchange timezone, previous 28 calendar days, weekdays together and Saturday/Sunday separately, at least three matching days.
For example, an exchange-time 10:00–10:15 candle is compared with previous matching 10:00–10:15 candles, rather than the quieter overnight candles. This is a custom median-based comparison; it is not an exact clone of TradingView's built-in Relative Volume at Time.
- Supported for native intraday charts from 1 minute through 4 hours. Other standard timeframes retain the previous-candle, group and recent-history readings.
- Only completed, full-duration candles enter time history. The current day never enters its own baseline. Missing sessions are skipped, not treated as zero.
- Matching uses the exact opening minute and the same full chart-candle duration. For example, a 09:30 candle is never substituted for a 09:00 candle.
- Day matching can use all days, weekday/weekend groups, or the same weekday. Same-weekday matching needs more calendar history to warm up.
- The available chart history limits the sample. “Warming” means not enough matching history or no positive median; it does not mean low volume.
- Exchange time follows the exchange's daylight-saving rules. Brisbane remains fixed. During a repeated daylight-saving clock hour, the last completed candle for that day's bucket is retained, so each day contributes at most one observation.
## Timing, gaps and data
By default, the unfinished live candle is hidden and the dashboard shows the latest closed candle. Optional live preview is faded and explicitly labelled LIVE; its volume is incomplete and is not extrapolated to a full candle. Markers and alerts always wait for a confirmed close.
By default, immediate and group comparisons do not cross intraday session gaps or unequal-duration candle boundaries. They become available again after comparable candles accumulate. You can override this in settings. An unavailable or zero denominator produces “—”, never an infinite ratio. Valid zero current volume can produce 0×.
Detailed mode adds body/wick percentages and the group's net price distance divided by all close-to-close distance travelled. 100% means each close moved in one direction; a small percentage means more back-and-forth movement. Neither this nor candle direction identifies actual buyer-initiated versus seller-initiated volume.
The volume belongs to the selected symbol and feed. It may represent units, contracts, quote currency or tick activity depending on the feed. Comparisons do not combine exchanges or reconstruct order flow. Standard time-based charts are required; synthetic chart types are rejected.
## Alerts and sensible starting settings
Start with **Previous candle**, groups of **5**, history **100**, default anomaly thresholds and closed candles. Enable detailed mode only when examining a candle. The Data Window gives exact historical values when you move the crosshair; the dashboard shows the latest eligible candle.
Alert choices: any unusual event, or S/A/R/L individually. The default alerts only when an anomaly appears or its type/direction changes. Disable that option for every qualifying closed candle. Configure notifications yourself in TradingView.
Thresholds are starting definitions to evaluate, not settings demonstrated to improve trading results. This version does not include EMA-band integration, automatic impulse/pullback segmentation, an order-flow feed, a scanner or trade execution.
## Verification
See `VERIFICATION.md` for the actual checks performed and any remaining TradingView compile/runtime limitation.
References: (www.tradingview.com), (www.tradingview.com), (www.tradingview.com).
Indicador
OMSF_Education_LibTo keep the codebase of the OMSF Learning Space indicator cleanly structured, easy to read, and as concise as possible, I have extracted core calculations and logic functions into this reusable library. This keeps the main script lightweight while allowing you to flexibly utilize these individual building blocks for your own custom scripts and quantitative experiments.
Extracted Functions & Modules
1. pivot_fun – Pivot Analytics & Trend State
Derivatives of the classic Pivot High/Low concept to identify key structural highs and lows using configurable confirmation lookback windows.
Provides continuously updated persistent pivot levels, running extreme levels, and a clean trend state machine (1 = Long, -1 = Short) along with standard pivot lag metrics (avg_std_delay).
2. dir_kaufman_eff_ratio – Directional Kaufman Efficiency Ratio (KER)
Computes directional trend efficiency ranging from -1.0 (strong downward efficiency) to +1.0 (strong upward efficiency), featuring built-in protection against division by zero.
3. ker_marketstructure_validation – KER Market Structure Validation
Accumulates and averages KER metrics separately for Long and Short market regimes to evaluate overall structural trend quality.
4. max_excurs_ratio – MFE / MAE Analytics
Tracks ATR-normalized Maximum Favorable Excursion (MFE) and Maximum Adverse Excursion (MAE) values for individual trend segments.
Computes running aggregate ratios and stores historical trade metrics in float arrays—ideal for statistical distribution and percentile analysis.
5. vis_mfe_mae_ratio_long & vis_mfe_mae_ratio_short – Visualization Components
Renders dynamic chart overlays featuring break-even levels, stop-loss excursion bounds, color fills, and informational labels displaying real-time or locked segment performance.
📌 Coming next:
OMSF Learning Space Update: Chapter 5 MFE/MAE. ()
Best regards, arni Biblioteca
Zen ABR Scalping LadderThis indicator puts two numbers on the same scale, in points, so you can see at a glance whether a scalp-sized target is realistic on the timeframe you are looking at.
WHAT IT DRAWS
Five ABR lines. ABR is the average bar range: high minus low, averaged over the last N bars. Lookbacks are locked at 2, 4, 8, 16 and 32. Short lookbacks react fast, long ones hold the longer picture.
A scalp reference line, set at a percentage of ADR, the average daily range. Default is 10%. Set it to whatever your own scalp target is.
A translucent grey cloud filling the gap between the scalp line and the ABR lines. One fill per line. Where several lookbacks sit on the same side, the fills overlap and the grey darkens on its own, so no single lookback has to be picked as the driver.
Everything is drawn in price points, which is the whole idea. A twelve-point average bar and a ten-point target become two lines on one axis, and you can see which is on top without doing arithmetic.
HOW TO READ IT
Cloud above the scalp line: an average bar on this timeframe is bigger than your target. One bar can carry the trade.
Cloud below the scalp line: an average bar is smaller than your target. The target now needs several bars in a row. Either move up a timeframe or take fewer points.
Darker grey: more of the lookbacks agree. Lighter grey with lines split either side of the scalp line: the fast and slow readings disagree, and something has recently changed.
WHY 10% OF ADR
The default comes from my own scalp-sizing work. I plotted daily range history for several index futures markets against the scalp distance I was actually using, and the scalp sat at roughly a tenth of the daily range in each case, despite very different price levels and point scales. It is a starting point, not a law. Change the percentage to your own target and watch where the line lands.
SETTINGS WORTH KNOWING
Pane cap. On by default at 2x the scalp line. Without it, one volatility spike stretches the vertical scale and squashes the readable zone into a flat band at the bottom. With it, anything above the cap draws flat at the cap. The optional value table still shows the true uncapped number.
Middle-three mode. Drops the fastest lookback and the slowest, and fills from the average of ABR 4, 8 and 16 instead. Calmer top edge on fast markets.
Fixed levels. Three horizontal point levels, off by default, for pinning your own targets into the pane.
Value table. Off by default. Shows every live line in points and as a percentage of ADR.
Crossing markers. Off by default. Dots on the scalp line where the middle-three average crosses it.
WHAT MAKES IT DIFFERENT
Most volatility tools give you a ratio, a normalised reading, or a percentage in a corner. This one keeps everything in points and puts your own target on the same axis, so the comparison is direct rather than mental. The stacked cloud is the second part: instead of choosing one lookback and trusting it, all of them draw, and the shading does the agreeing for you.
LIMITATIONS
It has no opinion on direction. It will not tell you to buy or sell, and it does not know whether the market is trending or ranging. All it reports is how big a typical bar is right now against the size of the target you chose.
ADR is taken from the standard daily bar, which includes overnight trade. That is deliberate, so the script needs no session string, no timezone and no instrument preset and runs on any chart of any market. If you want a day-session-only ADR, the source is open and the daily request is the one line to change.
On a weekly or monthly chart the ADR calculation falls back to the chart timeframe, so the reference line becomes a percentage of the average weekly or monthly range. Intended use is intraday and daily.
Nothing repaints. The bar currently forming is excluded from every average. Indicador
SHK Adaptive Candle Price Strength# SHK Adaptive Candle Price Strength (SHK ACPS)
**SHK Adaptive Candle Price Strength (SHK ACPS)** is a price-action strength indicator designed to estimate the strength of each price bar using its available price structure.
The indicator produces a simple **0–100 strength value** directly below the price, allowing traders to quickly evaluate whether the current price movement has relatively strong or weak momentum.
## How It Works
SHK ACPS analyzes the relationship between:
- Open
- High
- Low
- Close
- Candle body
- Upper wick
- Lower wick
- Recent price movement
- ATR-based volatility
The result is converted into a **0–100 strength scale**.
### Strength Scale
**0–20:** Very weak price strength
**20–40:** Weak
**40–60:** Moderate
**60–80:** Strong
**80–100:** Very strong
The number is displayed below the corresponding price area.
## Green and Red Strength
The indicator uses color instead of displaying unnecessary BUY/SELL text.
🟢 **Green** = bullish price strength
🔴 **Red** = bearish price strength
⚪ **Gray** = neutral or flat movement
The strength value and its color can therefore be read together.
For example:
**85 in green** → very strong bullish price movement
**72 in red** → strong bearish price movement
**28 in green** → weak bullish movement
**18 in red** → weak bearish movement
## Candle Structure Analysis
When meaningful OHLC structure is available, the indicator evaluates the candle body relative to the complete candle range.
A larger body relative to the total range generally indicates stronger directional participation.
The indicator also considers wick pressure.
For bullish candles:
- Larger lower wick can contribute positively.
- Larger upper wick can reduce bullish strength.
For bearish candles:
- Larger upper wick can contribute positively.
- Larger lower wick can reduce bearish strength.
This allows the strength value to consider more than simply whether the candle closed higher or lower.
## Adaptive Price-Movement Analysis
For price representations where traditional candle body/wick information is not meaningful, the indicator can use **close-to-close price movement relative to ATR**.
ATR provides a volatility reference.
A larger price movement relative to recent volatility produces a higher movement-strength reading, while a smaller movement produces a lower reading.
This makes the indicator useful across different chart representations, including:
- Candles
- Hollow Candles
- Heikin Ashi
- Line
- Step Line
## Current Candle
The strength value is designed to update with the **current developing price bar**.
This means the displayed number can change while the current candle is forming.
For example, a candle may begin with:
**35 → 48 → 67 → 82**
as price movement develops.
Therefore, the current value should be treated as a **live strength reading**, not a fixed value until the bar closes.
## ATR-Based Positioning
The strength value is positioned below the price using ATR rather than a fixed number of ticks.
This allows the distance to adapt to the instrument's volatility.
The result is more practical across instruments with different price scales.
## Optional Strength Bar
An optional strength-bar calculation is included in the script.
It can be enabled from the indicator settings if a visual strength representation is desired.
## Important Interpretation
SHK ACPS is a **strength measurement tool**, not a standalone trading system.
A high green value does not automatically mean that price must continue upward.
Likewise, a high red value does not guarantee that price will continue downward.
Strength can increase near the end of a move, during breakouts, or during volatile reversals.
For better decision-making, traders may combine the indicator with:
- Market structure
- Support and resistance
- Trend direction
- Moving averages
- Volume
- Momentum indicators
- Breakout confirmation
- Higher-timeframe analysis
## Example Usage
A trader may observe:
**Green 80–100**
This indicates strong bullish price structure or movement.
If this occurs together with a confirmed breakout and supportive market structure, it may indicate stronger bullish participation.
Similarly:
**Red 80–100**
indicates strong bearish price structure or movement.
When combined with a confirmed breakdown or bearish market structure, it may provide additional confirmation.
Lower readings can indicate that price movement is relatively weak and may warrant more caution.
## Designed for Simple Visual Reading
The main philosophy of SHK ACPS is simplicity.
Instead of filling the chart with multiple signals, arrows, or BUY/SELL labels, the indicator provides:
**One number + one color**
This allows the trader to visually judge the relative strength of the current price movement without adding excessive chart clutter.
### Quick Reference
| Color | Strength | General Interpretation |
|---|---:|---|
| 🟢 Green | 80–100 | Very strong bullish |
| 🟢 Green | 60–79 | Strong bullish |
| 🟢 Green | 40–59 | Moderate bullish |
| 🟢 Green | 0–39 | Weak bullish |
| 🔴 Red | 80–100 | Very strong bearish |
| 🔴 Red | 60–79 | Strong bearish |
| 🔴 Red | 40–59 | Moderate bearish |
| 🔴 Red | 0–39 | Weak bearish |
**SHK Adaptive Candle Price Strength (SHK ACPS)** is intended to give traders a clean, adaptive view of price strength while keeping the chart visually simple. Indicador
SuperTrend Regime Confluence📊 SUPERTREND REGIME CONFLUENCE
A trend-following strategy combining a volatility-adaptive SuperTrend with a
market-regime classifier and a five-factor confluence filter.
The three components aren't stacked arbitrarily. Each one fixes a specific,
well-known weakness of the others, which is why they're combined into a single
tool rather than used separately.
🧩 WHY THESE COMPONENTS ARE COMBINED
A standard SuperTrend has two weaknesses:
- Fixed ATR multiplier: too tight in volatile markets (premature flips), too
wide in quiet trends.
- It flips on every crossover regardless of conditions, causing whipsaws in
sideways markets.
This strategy addresses both:
1️⃣ Regime detection adapts the band.
An ADX plus ATR-ratio classifier labels each bar Trending, Volatile, or Ranging.
In Volatile conditions the multiplier widens (fewer false flips during
expansion); in Ranging conditions it tightens. The band reacts to conditions
instead of using one fixed setting.
2️⃣ The regime filter removes the worst environment.
Entries during the Ranging regime (where trend-following bleeds) can be skipped
entirely.
3️⃣ The confluence score gates each flip.
Rather than trading every SuperTrend flip, each candidate entry is scored 0 to
100. Only flips clearing a minimum score are taken.
Together: the classifier makes the band adaptive, the regime filter removes the
setting where the signal fails, and the score removes the weakest signals. Each
piece compensates for a limitation of the SuperTrend it's built on.
🧮 THE CONFLUENCE SCORE (rules-based, not machine learning)
A plain weighted sum of five factors, each contributing fixed points. It is
fully deterministic and documented in the code. No model, no training, no black
box:
- Volume surge (0 to 20): entry-bar volume vs its moving average
- Displacement (0 to 25): distance price moved beyond the band, in ATR units
- Trend alignment (0 to 20): signal direction vs a longer EMA
- Regime quality (0 to 15): more points in a clean Trending regime
- Prior distance (0 to 20): how far price held from the band before the flip
The sum (capped at 100) must exceed the Min Signal Score input to trigger entry.
🛡️ RISK MANAGEMENT AND SIZING
- Risk-based sizing: each position is sized so a stop-out risks a fixed percent
of equity.
- Capped at 90% of equity: no leverage, always a margin buffer (no liquidations).
- Selectable stops (ATR, Percent, or SuperTrend flip) and take-profits
(Risk:Reward, Percent, or None).
- Optional EMA filter, volume filter, entry cooldown, and long/short toggles.
- Default risk sits within TradingView's suggested 5 to 10 percent band. Lower it
for a more conservative profile.
⚙️ DEFAULT SETTINGS (as shown)
BTCUSDT, 4H, 6% risk per trade.
ATR length 10, base multiplier 3, regime lookback 40, ADX 14, ADX threshold 20.
Trend EMA 50, min signal score 65, ATR stop 6x, risk:reward 2.5, cooldown 5 bars.
Commission 0.06%, slippage 2 ticks.
Backtest shown: Jan 2020 to Sep 2026. Return +824%, max drawdown 24.55%, profit
factor 1.80, win rate 46.4%, 168 trades.
⚠️ NOTES ON USE
This is a trend-following system, so it performs best on instruments that trend
and expand in volatility. Expect drawdowns and losing streaks during extended
sideways periods, which is inherent to the approach.
Results shown are a historical backtest on a single instrument and do not
indicate future performance. Test on your own instrument, timeframe, and cost
assumptions before use. This is not financial advice. Estrategia
Volatility Time WindowsVolatility Time Windows finds the hours of the day when a market statistically moves the most and draws them on your chart as zones: past occurrences, the window that is running right now, and the next one coming up.
WHAT IT DOES
Every intraday market has a rhythm. Some hours are consistently wild, others are consistently dead. This script measures that rhythm from your chart's own history instead of relying on fixed session times. It splits the day into time slots (default 60 minutes), measures how much price moves in each slot, and merges the slots that are consistently above average into "volatile windows". Those windows are then drawn as boxes around the actual high-low range of every occurrence, so you can see at a glance where the movement clusters.
HOW IT WORKS
1. For every bar, the high-low range in percent of price is measured.
2. To make different regimes comparable, each value is normalized by the average range of the previous 24 hours. A wild week in 2022 therefore counts the same as a quiet week today, only the intraday pattern matters.
3. The normalized values are aggregated per time slot across all loaded bars (minimum 20 samples per slot). The result is a ratio per slot: 1.00 = average hour, 1.50 = 50 % more movement than an average hour.
4. Consecutive slots at or above the threshold (default 1.2x average) are merged into one window. A single slot between two volatile slots joins the window if it is at least average, so a small dip does not split a session in two.
5. Windows are ranked by their average ratio and the top ones (default 2) are shown.
WHAT YOU SEE
- Blue boxes around the high-low range of every past occurrence of a window, with a label showing the time span and the average high-low range of that window in percent (e.g. 13:00-17:00 · Ø 1.35 %).
- The window that is running right now is drawn slightly stronger and its label shows when it ends.
- The next occurrence within the following 24 hours is drawn as a dashed box around the current price. Its height equals the average range of that window, so you get a feeling for the expected move, and its label counts down to the start.
- Hover a label to see the ratio of the window versus the daily average.
HOW TO USE IT
- Use an intraday chart that is not larger than the chosen time resolution (e.g. a 5m, 15m or 1h chart with 60-minute slots). More history means more reliable statistics; the script uses everything TradingView loads.
- Set the timezone to the one you think in. Slot boundaries and labels follow that timezone, so daylight saving changes are handled correctly.
- Use "Mon-Fri" for crypto if weekends dilute your profile, or "Sat-Sun" to study weekend behaviour separately.
- Lower the threshold (e.g. 1.15) for longer windows, raise it (1.3 or more) to isolate the peak hours only.
- Alerts: "Volatility window starts" fires at the start of a window. The heads-up alert warns a configurable number of minutes before the start (create the alert with "Any alert() function call").
SETTINGS
Time resolution: size of the slots the day is split into (15 / 30 / 60 / 120 min).
Timezone: timezone used for slot boundaries and labels.
Days: which weekdays enter the statistics.
Volatile if ≥ x average volatility: threshold for a slot to count as volatile.
Windows to show: how many of the top windows are drawn.
Days of history: how far back zones are drawn (0 = all loaded bars).
Show next occurrence: dashed projection of the upcoming window.
Labels, text size, zone color.
Heads-up minutes: lead time for the pre-alert.
NOTES
- The statistics are descriptive, not predictive. They show when the market has moved the most in the loaded history, which helps with timing entries, sizing stops and avoiding dead hours, but a volatile window is not a directional signal.
- TradingView limits a script to 500 boxes and labels, so the oldest zones drop off once the limit is reached.
- Works on any symbol with intraday data: crypto, forex, indices, futures, stocks. Indicador
Position Size CalculatorPOSITION SIZE CALCULATOR
Calculating the exact number of shares to buy before entering a trade can be slow and distracting. This on-chart indicator does all the position sizing math for you in real time.
Simply enter your total account balance, choose your preferred allocation percentages, and the script displays an on-screen table showing the exact amount to invest and the number of whole shares to buy.
WHAT IT DOES
- Automatic Share Sizing: Calculates whole shares to buy based on your capital and allocation percentages.
- 3 Allocation Tiers: Configure 3 custom sizing options (e.g. 10%, 20%, 30%) to suit different trade setups.
- Live or Manual Price:
- By default, it takes the confirmed close price of your chosen timeframe (e.g. 5-min, Daily).
- Or toggle "Manual Entry Price" to calculate sizes for planned limit orders.
- Safe Math: Always rounds down to complete shares (math.floor) so you never exceed your intended risk.
- Clean & Flexible Display: Fully customizable table position, color themes, and an option to hide the table outside regular market hours.
HOW TO USE IT
1. Add the indicator to your chart.
2. Open Settings (the gear icon on the indicator label):
- Account: Enter your total trading capital.
- Allocation Tiers: Set your allocation percentages for Tier 1, 2, and 3.
- Price Settings: Keep automatic close price detection, or check "Use Manual Entry Price" and type your limit price.
3. Check the on-chart table:
- Find your desired tier column.
- Read the green highlighted number in the "Shares" row and place your order.
CUSTOMIZATION OPTIONS
- Show/Hide Investment Row: Display only the share count or include the cash value.
- Hide When Market Closed: Automatically hides the table when the market is inactive to keep your charts clean.
- Table Position: Move the table to any corner or side of your screen (Top-Right, Top-Left, Bottom-Right, etc.).
- Colors: Adjust background, border, text, and highlight colors to fit dark or light charts.
DISCLAIMER
This script is a position sizing calculation tool and does not provide financial advice, buy/sell signals, or trade recommendations. Always manage your risk according to your personal trading plan. Indicador
ICT Daily Liquidity Sweep [PineGen AI]ICT Daily Liquidity Sweep
OVERVIEW
This strategy trades liquidity sweeps in the style of ICT (Inner Circle Trader) concepts. It marks the Asian session range each day, then looks for price to sweep above or below that range — or above/below the previous day's high/low — and reverse back inside it. A sweep followed by a close back inside the range is treated as a potential liquidity grab, and the strategy enters in the direction of the reversal.
Entries are only considered during a configurable time window (London/NY hours by default), which is when these liquidity-sweep setups are most commonly discussed in ICT-based trading approaches.
HOW IT WORKS
Asian range: the script tracks the high and low of the Asian session (00:00–08:00 UTC by default, adjustable) and locks the range once the session ends.
Sweep detection: a long setup requires price to trade below the Asian low or the previous day's low and close back above it within the trading window. A short setup is the mirror condition against the Asian high or previous day's high.
Risk and exits: stop-loss is placed beyond the sweep wick with a configurable buffer. Two take-profit levels are set at user-defined risk-reward multiples (TP1 partial close, TP2 full close). A hard time-based exit closes any open position at a configurable hour to avoid holding through low-liquidity periods.
Position sizing: quantity is calculated from account equity and a user-defined risk percentage per trade, not a fixed lot size.
SETTINGS
SL Buffer (pips) — distance beyond the sweep wick for the stop
Risk % — percentage of equity risked per trade, used to size position
TP1 / TP2 R:R — take-profit distances as a multiple of initial risk
TP1 Close % — portion of the position closed at TP1
Window Start / End (UTC) — the hours during which new entries are allowed
Labels / Session backgrounds — visual toggles only, no effect on signals
BACKTEST ASSUMPTIONS
Default backtest settings use a starting capital of 10,000, 10% of equity per trade, a 0.01% commission per side, and 2 ticks of slippage. These are configurable in the Properties tab and should be adjusted to match your actual broker/instrument costs before drawing conclusions from the results — commission and slippage assumptions materially affect strategy performance, especially on lower timeframes.
IMPORTANT NOTES
This strategy does not repaint — orders are processed on bar close and higher-timeframe data is pulled with lookahead disabled. Backtest results are hypothetical and do not account for real-world factors such as latency, partial fills, or changing market conditions, and past performance is not indicative of future results. This script is provided for educational purposes and is not financial advice. Always forward-test on a demo account before considering live use, and adjust the commission/slippage settings to reflect your actual trading costs. Estrategia
EMA (Exponential Moving Average) by PARTHTRADERALERTSEMA (Exponential Moving Average) by PARTHTRADERALERTS
This is a clean and simple Multi EMA indicator designed for Price Action and Trend Trading.
What is EMA?
Exponential Moving Average (EMA) gives more weight to recent price, so it reacts faster than SMA. Perfect for intraday and swing trading.
Features in this Indicator:
✅ 6 EMAs in one indicator - 9, 11, 45, 30, 50, 100
✅ Default ON: EMA 9 (RED), EMA 11 (GREEN), EMA 45 (MAGENTA)
✅ Default OFF: EMA 30, 50, 100 - You can enable from settings
✅ Fully Customizable: You can change Length, Color, Width, Source
✅ Clean Chart: No extra boxes, no repaint, overlay fixed on price
✅ Works on All Markets: Stocks, Nifty, BankNifty, Crypto, Forex, Commodity
How to Use This Strategy?
1. TREND IDENTIFICATION: If price is above EMA 45, trend is UP. If below, trend is DOWN.
2. ENTRY SIGNAL (9/11 Crossover): When EMA 9 crosses above EMA 11 = Buy Signal. When EMA 9 crosses below EMA 11 = Sell Signal.
3. STRONG CONFIRMATION: Take buy trade only when Price > EMA 9 > EMA 11 > EMA 45. Opposite for sell.
4. STOP LOSS: Use EMA 45 as a trailing stop loss for swing trades.
Best Timeframe: 5 Min, 15 Min, 1 Hour, Daily
This indicator is made for beginners and pro traders who want a clean EMA setup without clutter.
Disclaimer: This is only for educational purpose. Do your own analysis before taking any trade.
#EMA #ExponentialMovingAverage #PARTHTRADERALERTS
#MovingAverage #Nifty #BankNifty #Crypto #Forex #Commodity
Indicador
DELTA/SIGMA heatmap - Quant Flow# DELTA/SIGMA heatmap - Quant Flow
Session Atlas combines price statistics, estimated volume flow and session structure in one chart overlay. Designed primarily for intraday analysis of **NQ and QQQ**, it helps traders assess unusual price movements alongside VWAP, opening prices and volume distribution.
### Main features
**Three price-movement models**
Choose between Rolling, EWMA and Robust MAD. Each compares the current logarithmic return with a reference built exclusively from previous candles. Robust MAD uses the median and median absolute deviation, providing an alternative that is less sensitive to isolated historical shocks.
**Historical context**
See how many previous returns were at least as far from their shared median as the current return. Additional metrics show:
- **Volatility ratio:** recent volatility compared with a longer historical window.
- **Path efficiency:** how directly price travelled, from repeated reversals toward movement consistently in one direction.
These describe observed market behaviour; they are not probabilities of a profitable trade.
**Delta heatmap and RTH CVD**
Display estimated directional volume through candle colours and cumulative volume delta from the regular-session open. These calculations use OHLCV price-direction estimates, **not actual bid/ask execution data**.
**Session reference levels**
Track regular-session, daily and extended-session opening prices, together with RTH and ETH VWAP. Optional RTH VWAP bands show volume-weighted price dispersion.
**Volume profile**
View an estimated profile for RTH, ETH or a rolling window of minute bars, including POC, Value Area High and Value Area Low.
**Optional level mapping**
Add manually supplied call-wall, put-wall, gamma-flip and high-OI levels with explicit validity periods. Price-conversion tools can map levels between related instruments. The script does not independently retrieve an options chain or calculate dealer gamma exposure.
**Configurable alerts and presentation**
Choose alerts at the start of a sigma extreme or on every qualifying candle, with an adjustable minimum interval. Candle heatmaps default to confirmed bars; session calculations can continue updating intrabar.
### Intended use
Use Session Atlas as a market-context tool alongside your own trading rules. It supports standard time-based intraday charts from one minute upward. Results depend on the selected timeframe, session and available data.
An extreme reading identifies an unusual movement—it does not, by itself, establish a reversal, continuation or trade entry. No profitability or predictive accuracy is guaranteed. Indicador
BB Fill + Visible-Range Fib Retracement# BB Fill + Visible-Range Fib Retracement
A 2-in-1 Pine Script indicator that bundles a **Bollinger Bands volatility fill** and a **visible-range Fibonacci retracement** into a single script. If your TradingView plan limits the number of indicators you can have on a chart at once, this lets you get both tools for the price of one indicator slot.
## Bollinger Bands (grey fill)
Standard Bollinger Bands math is used under the hood:
- **Basis** = Simple Moving Average (SMA) of the source over the chosen length.
- **Upper band** = Basis + (StdDev of source over the length × multiplier).
- **Lower band** = Basis − (StdDev of source over the length × multiplier).
Unlike a typical BB indicator, the basis, upper, and lower lines are **not drawn**. Only the shaded area between the upper and lower bands is visible, giving a quick, uncluttered read on volatility/price range without adding extra lines to your chart.
**Inputs:**
- **BB Length** (default `20`) — number of bars used for the moving average and standard deviation.
- **BB Source** (default `close`) — price series the calculation is based on.
- **BB StdDev Multiplier** (default `2.0`) — how many standard deviations the bands extend from the basis.
- **BB Fill Color** (default grey) — color of the shaded band.
- **BB Fill Transparency %** (default `85`) — how transparent the shading is (higher = more transparent/subtle).
## Visible-Range Fibonacci Retracement
This tool automatically scans the bars **currently visible on your screen** to find the highest high and the lowest low, then draws the standard Fibonacci retracement levels between them:
`0, 0.236, 0.382, 0.5, 0.618, 0.786, 1`
The retracement direction is auto-detected: if the low occurred before the high in the visible range, it's treated as an uptrend (levels retrace down from the high); otherwise it's treated as a downtrend (levels retrace up from the low). Each level is drawn as a horizontal line spanning the visible range, with an optional price label at the right edge showing the level ratio and its price.
**Inputs:**
- **Show Fib Retracement** — toggles the fib lines on/off.
- **Show Fib Price Labels** — toggles the price labels next to each fib line on/off.
**Important behavior to understand:** the lines update to reflect the highest high/lowest low of whatever range you're viewing when you scroll or zoom the chart, but Pine Script only allows a script to redraw on the arrival of new bar/tick data or when the chart is reloaded — not on every scroll/zoom gesture by itself. In practice this means the levels catch up shortly after you stop interacting with the chart (or on the next price update), rather than tracking your viewport in real time. Because of this, the tool is a **discretionary visual aid** meant for manual chart reading, not a deterministic signal — it should not be used as input to automated strategies or backtests, since its output depends on your current viewport rather than a fixed, reproducible calculation.
## How to use
- Use the grey BB fill as quick visual context for current volatility — a wide band suggests an expansive/volatile market, a narrow band suggests consolidation.
- Use the fib levels as an on-the-fly support/resistance reference for whatever swing high/low is currently in view — zoom or scroll to the price range you care about, let the chart refresh, and read the levels as potential reaction zones.
- Combine both: watch for price reacting near a fib level while inside or near the BB shaded zone for added confluence.
## Settings summary
| Input | Default | Description |
|---|---|---|
| BB Length | 20 | Number of bars for the SMA basis and standard deviation. |
| BB Source | close | Price series used for the Bollinger Bands calculation. |
| BB StdDev Multiplier | 2.0 | Multiplier applied to standard deviation to set band width. |
| BB Fill Color | grey | Color of the shaded area between the bands. |
| BB Fill Transparency (%) | 85 | Transparency of the BB shading. |
| Show Fib Retracement | true | Toggles drawing of the fib retracement lines. |
| Show Fib Price Labels | true | Toggles price labels next to each fib line. |
## Limitations
- The fib retracement only redraws when new bar/tick data arrives or the chart reloads — it does not update live as you scroll or zoom, due to a Pine Script platform limitation.
- Not intended for automated strategy logic or backtesting: the visible-range calculation is viewport-dependent and not deterministic across runs.
- The script keeps an internal history array of bar times/highs/lows that grows as the chart's loaded history grows, which can add a small amount of memory/processing overhead on very long chart histories.
---
Last updated (UTC): 2026-09-13 08:41:01 UTC
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PVSRA Auto [PhantomCipher]PVSRA Auto
PVSRA Auto colours volume by how unusual it is, using the PVSRA (Price, Volume, Support and Resistance Analysis) method. Candles with unusually high volume, often called "vector candles", stand out from ordinary ones, so you can see where larger participants may be active.
SNAPSHOT: a 15m chart with the indicator in its pane, showing green, red, blue and fuchsia vector volume among grey normal volume
Shown on the 15-minute chart
The snapshots use the 15-minute timeframe. The indicator works on any timeframe, because each candle is always compared with the 10 candles before it on the same chart.
How it works
Each candle's volume is compared with the average volume of the previous 10 candles:
Peak (200%): volume is at least twice that average, or volume multiplied by the candle's range (high minus low) is the highest of the last 10 candles. Green for bullish, red for bearish.
Rising (150%): volume is at least 1.5 times that average. Blue for bullish, fuchsia for bearish.
Normal: everything else. Light grey for bullish, dark grey for bearish.
A candle counts as bullish when it closes above its open, and bearish otherwise.
The two tests behind a Peak candle:
volume >= averageVolume * 2 or volume * (high - low) >= highest10_hl_weightedVolume
SNAPSHOT: a 15m close-up of a Peak vector candle, with its volume column and candle colour side by side
Volume Source Settings
Use Vol of the equivalent BINANCE PERP Chart: on by default. On crypto symbols, the indicator reads volume and prices from the matching Binance perpetual (for example BINANCE:BTCUSDT.P), which usually has deeper volume than a single spot exchange. If that perpetual doesn't exist, it uses the chart's own data.
Force Symbol: off by default. When checked, every calculation uses the symbol you pick instead, on any market.
Candle Colours
Set PVSRA candle colours on chart: off by default. When checked, the chart's candles take the same colours as the volume columns. Turning off candle borders in the chart settings makes the colours easier to read.
All six colours (Peak, Rising and Normal, each bullish and bearish) can be changed in the same section.
Alerts
Any Vector Candle
Any Volume Peak(200%) Vector Candle
Any Volume Rising(150%) Vector Candle
Volume Peak(200%) Bullish / Bearish Vector Candle
Volume Rising(150%) Bullish / Bearish Vector Candle
Create alerts with Once Per Bar Close . Volume keeps building while a candle is open, so a candle can become a vector candle, or change class, before it closes.
Limitations
When volume comes from a Binance perpetual or a forced symbol, the colours describe that market's volume and candle direction, which can differ slightly from the chart you're viewing.
The symbol, or the source it reads from, must have volume data.
Example chart: BYBIT:BTCUSDT.P
This indicator highlights unusual volume. It's not a trading signal on its own, so combine it with your own analysis and risk management.
Indicador
SMA20 Tail Reversal📌 Description:
The SMA20 Tail Reversal indicator is an upgraded, highly customizable tool designed to identify high-probability counter-trend reversals. Rather than signaling every minor pullback, this advanced version filters for stronger confirmation by tracking consecutive signals and requiring a "Higher Low" structure before triggering a "Strong Buy."
📌 What's New & Different from the Previous Version (SMA7 to SMA20):
Customizable Inputs: You can now adjust the SMA Length (default 20), Volume SMA Length, and Wick Ratio Threshold directly in the settings without editing the code.
Trend Shift (SMA7 → SMA20): The default moving average has been expanded to 20, filtering out market noise and focusing on more significant structural divergences.
Stricter Wick Condition: The default wick ratio has been tightened from 50% to 10% (0.1), ensuring only the cleanest, most decisive candles are considered.
"Strong Buy" & Higher Low Logic (Major Update): The script no longer prints every single signal. Instead, it internally tracks base signals. A Strong Buy is only triggered if the current base buy signal forms a higher low than the previous base buy signal.
Visual Overhaul: Bar coloring and the dotted connecting line have been completely removed for a cleaner chart. Signals are now displayed as highly visible "★ BUY" labels below the triggering candle.
Alerts Added: Built-in alerts allow traders to receive notifications exactly when a "Strong Buy" (consecutive & higher low) occurs.
📌 How It Works:
1. Moving Average & Volume Filters:
Calculates a Simple Moving Average (SMA) of length 20 (adjustable) as the primary threshold.
Requires the current candle's volume to be higher than the 20-period volume SMA.
2. Strict Candle Classification:
Bullish Candle: Close > Open, and the upper wick is extremely small (less than 10% of the body size by default).
Bearish Candle: Close < Open, and the lower wick is extremely small.
3. Base Signal Generation (Internal):
Base Long: High & Low are strictly below the SMA20 + Volume condition met + Bullish Candle detected.
Base Short: High & Low are strictly above the SMA20 + Volume condition met + Bearish Candle detected (used internally to break buy flows).
4. Consecutive Signal Confirmation:
When a Base Long occurs, the script checks the previous signal. If the previous signal was also a Base Long, and the current candle's low is higher than the previous signal's low, it confirms a Strong Buy.
📌 Visual Representation:
Blue Cross Shape (★ BUY): Appears below the candle only when the strict "Strong Buy" (Higher Low) conditions are met. (You can toggle this visibility in the settings).
📌 Usage:
Best applied to find exhaustion in downtrends where price has detached from the SMA20 and is beginning to form higher lows.
Designed to reduce false positives by requiring secondary confirmation (a consecutive setup with a higher low) rather than jumping in on the very first dip.
Can be hooked up to automated trading bots or mobile notifications using the built-in alert system. Indicador
Volume Delta [PhantomCipher]Volume Delta
Volume Delta shows each candle's volume together with an estimate of whether buyers or sellers were in control of it. The delta (buying volume minus selling volume) is drawn inside the volume column, so you can compare the two at a glance.
SNAPSHOT: a 15m chart with the indicator in its pane, showing volume columns with delta columns inside them
Shown on the 15-minute chart
The snapshots use the 15-minute timeframe. On that chart, each candle's delta is built from its fifteen 1-minute candles, which gives enough detail to separate real buying or selling pressure from noise while staying readable.
How it works
Volume column: the full volume of the candle. It's green when the candle closed at or above its open and red when it closed below.
Delta column: drawn inside the volume column. Its height is the size of the delta, and its colour is the side that won: green when buying volume was greater and red when selling volume was greater.
How delta is estimated: each candle is broken into smaller candles from a lower timeframe. The volume of each smaller candle is counted as buying or selling according to its direction, and the delta is the difference between the two totals.
A large delta column means one side clearly dominated the candle. A small one inside a tall volume column means buying and selling were close to balanced, even though a lot traded.
Lower timeframe used
Seconds charts: 1 second
Minute and hour charts, including 15m: 1 minute
Daily charts: 5 minutes
Weekly and monthly charts: 1 hour
The lower timeframe is picked for you from the chart's timeframe:
= ta.requestVolumeDelta(lowerTimeframe)
SNAPSHOT: a 15m close-up where a tall volume column has a small delta column, next to one where the delta fills most of the column
Settings
Render Mode: Delta Highlight (default) draws volume with the delta inside it. Standard draws volume columns only.
Limitations
Delta is an estimate built from lower-timeframe candles, not from individual trades, so it can differ from order-flow tools that use tick data.
TradingView limits how much lower-timeframe data a script can load, so delta may be missing on older candles, especially on higher timeframes.
The symbol must have volume data. If the data vendor provides none, the indicator shows an error instead of an empty pane.
Example chart: BYBIT:BTCUSDT.P
This indicator estimates buying and selling pressure. It's not a trading signal on its own, so combine it with your own analysis and risk management.
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Bitcoin CME Gaps [PhantomCipher]Bitcoin CME Gaps
Bitcoin trades around the clock, but CME Bitcoin futures stop trading over the weekend. When CME reopens, its chart often opens away from Friday's close, leaving a "CME gap". This indicator draws the CME closing level on your Bitcoin chart for the whole weekend, so you can see how far price has moved from it while CME is closed.
SNAPSHOT: a 15m Bitcoin chart over one weekend, with the blue CME line and the shading between it and price
Recommended timeframe: 15 minutes
The weekend window is worked out from each candle's opening time, so the line needs candles small enough to start when CME closes and end when it reopens. The 15-minute chart is what this indicator is designed and tested for.
How it works
Weekend window: from Friday 21:00 UTC to Sunday 22:00 UTC. That matches CME Bitcoin futures hours while US daylight saving time is in effect. In winter, CME closes and reopens one hour later.
CME line: a blue line at the price where the weekend began. It's drawn only during the weekend and stops when CME reopens.
Shading: the area between the line and price is green while price is above the line and pink while it's below, so you can see the direction of the gap as it forms.
The weekend window check, with the day and hour in the chart's timezone (UTC for crypto):
(hour >= 21 and dayofweek == 6) or (dayofweek == 7) or (hour < 22 and dayofweek == 1)
SNAPSHOT: close-up of Sunday's reopen, with the line ending where CME resumes trading
Settings
Chart Price | CME Price: on by default, and the line uses your chart's own price at the start of the weekend. Turn it off to use CME:BTC1!'s last price instead, which can differ from spot or perpetual prices.
Only Show Weekend Gaps: on by default, and the line appears only in the weekend window above. Turn it off to draw a line whenever CME:BTC1! has no candle, which also covers CME's daily one-hour break and exchange holidays, at the cost of a busier chart.
Show +/-1% From Close: off by default. Adds yellow lines 1% above and 1% below the CME line.
Limitations
With "Only Show Weekend Gaps" on, lines appear only on crypto charts, index charts and charts in the UTC timezone.
The weekend window uses fixed UTC hours, so in winter it starts and ends one hour before CME's actual close and reopen.
The line marks the level while CME is closed. It does not keep drawing gaps that are still unfilled after CME reopens.
Example chart: BYBIT:BTCUSDT.P
This indicator marks where CME closed. It's not a trading signal on its own, and a gap is not guaranteed to fill, so combine it with your own analysis and risk management.
Indicador
Monday Candles [PhantomCipher]Monday Candles
Monday Candles colours every candle that opens on a Monday, so the start of each trading week is easy to spot. Many traders mark Monday's range and watch how price reacts to it through the rest of the week.
SNAPSHOT: the indicator on a clean daily chart, with several Mondays highlighted
How it works
Spot and perpetual markets: a candle is highlighted when it opens on a Monday in UTC.
Futures: a candle is highlighted when it opens on a Sunday in UTC. Futures sessions open on Sunday evening, and that session belongs to Monday's trading day.
Timeframes: on the daily chart the Monday candle is highlighted. On intraday charts every candle that opens during Monday (UTC) is highlighted, so the whole day stands out.
The check for a spot or perpetual chart is:
dayofweek(time, 'UTC') == dayofweek.monday
SNAPSHOT: an intraday chart (for example 1h) showing the full Monday session highlighted
Settings
Highlight Monday? Turns the highlighting on or off.
Highlight Color: the colour used for Monday candles (yellow by default).
Limitations
The day is always worked out in UTC. On markets with their own session times, such as gold (XAUUSD), silver (XAGUSD), some other commodities and some forex pairs, the highlighted candles may not line up with the market's actual Monday. The indicator is also not meant for weekly or higher timeframes, where one candle covers the whole week.
Example chart: BYBIT:BTCUSDT.P
This indicator marks days of the week. It's not a trading signal on its own, so combine it with your own analysis and risk management.
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EMA Cloud [PhantomCipher]EMA Cloud
EMA Cloud shows the trend as a shaded band between two exponential moving averages, with a third EMA drawn as a longer-term reference line.
SNAPSHOT: the indicator on a clean chart, with the cloud in both colours and the 200 EMA line visible
How it works
Cloud: the area between a fast EMA (50 by default) and a slow EMA (100 by default) is filled. It's green while the fast EMA is at or above the slow EMA (uptrend) and red while it's below (downtrend).
EMA lines: the fast and slow EMAs are also drawn as lines that change colour with the trend.
Reference line: a separate EMA (200 by default) is drawn as a single line. It's not part of the cloud and its colour doesn't change with the trend. Use it to see where price sits against the longer-term trend.
Settings
Inputs tab: the length of each EMA, grouped into "EMA Cloud" (fast and slow) and "EMA Line" (the reference EMA).
Style tab: every colour, line width and on/off switch, including separate uptrend and downtrend colours for the cloud and for each EMA line.
Alerts
EMA Trend Up: fires when the fast EMA crosses above the slow EMA.
EMA Trend Down: fires when the fast EMA crosses below the slow EMA.
Create the alert with Once Per Bar Close . A cross that happens part-way through a bar can reverse before the bar closes.
The trend flip comes from comparing the two EMAs:
EMA_UpTrend = ta.ema(close, 50) >= ta.ema(close, 100)
SNAPSHOT: close-up of a trend flip, with the cloud changing colour where the two EMAs cross
How to use it
A change in cloud colour marks a shift in trend between the two EMAs. The 200 EMA adds context. For example, you might take only uptrend signals while price is above it, and only downtrend signals while price is below it.
Example chart: BYBIT:BTCUSDT.P
This indicator shows trend conditions. It's not a trading signal on its own, so combine it with your own analysis and risk management.
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Elliott Wave StructureElliott Wave Structure is a visual market-structure tool that identifies potential Elliott Wave sequences using confirmed swing highs and lows.
The indicator connects confirmed pivots to create a clear wave structure and labels the most recent sequence as 1–2–3–4–5 and A–B–C when sufficient swing points are available.
Impulse Waves
Wave 1 — The initial move that begins a potential new trend.
Wave 2 — A corrective retracement of Wave 1 that does not completely invalidate the new trend.
Wave 3 — Typically the strongest impulse phase, as participation in the developing trend increases.
Wave 4 — A corrective pause following Wave 3 before the potential final impulse.
Wave 5 — The final impulse wave of the sequence, often occurring with weaker momentum than Wave 3.
Corrective Waves
Wave A — The initial move against the preceding five-wave trend.
Wave B — A temporary counter-move that attempts to resume the previous trend.
Wave C — The final leg of the correction, completing the potential A–B–C structure.
How It Works
The indicator uses confirmed pivot points to identify significant market swings. The **Pivot Length** input controls how sensitive the swing detection is:
* Lower values detect smaller and more frequent swings.
* Higher values focus on larger and more significant swings.
Because pivots require confirmation, the most recent wave structure can change as new price action develops.
Important Note
Elliott Wave analysis involves interpretation and multiple valid wave counts can exist on the same market. This indicator provides a **visual representation of potential wave structure** based on confirmed market swings; it does not determine the definitive Elliott Wave count.
Disclaimer
This indicator is provided for **educational and informational purposes only**. It does not constitute financial, investment, trading, or other professional advice.
Past market behavior does not guarantee future results. Trading financial markets involves substantial risk, and you should conduct your own research and use appropriate risk management before making any trading decisions.
The author makes no guarantee regarding the accuracy, completeness, or future performance of any signals, wave counts, or interpretations generated by this indicator.
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