Edo Reaction ZonesEdo Reaction Zones — Five Moving Averages Wrapped in ATR-Adaptive Reaction Zones, with Structure Reading, Active Zone and Bounce-or-Break Tracking
On a real chart, price almost never touches a moving average at an exact point and bounces with clockwork precision. It approaches the average, pierces it a little, hovers around it for a few candles, and eventually bounces or breaks. The average therefore behaves like a region — a reaction zone — not a line. Edo Reaction Zones draws that region as it really is: it wraps five moving averages in bands whose width breathes with volatility, marking the real range where price is likely to react.
From that idea, the indicator adds three coordinated reads: a score of the moving-average structure — how they are stacked and where they point — the real-time identification of the active zone — the average nearest to price and its role as support or resistance — and a follow-up of what happens when price enters that zone, distinguishing a bounce from a break. Everything is summarized in a compact panel on the chart, without repainting and validated on closed bars. It brings together classic, public-domain technical-analysis concepts — the exponential moving average, the average true range (ATR) and moving-average crosses — into a single trend-and-reaction reading tool.
THE FIVE MOVING AVERAGES
The skeleton is five exponential moving averages, all configurable, chosen to span from the immediate trend to the underlying trend. By default: EMA 9 (lime, thin line) tracks price closely and describes the immediate trend; EMA 20 (yellow) marks the short term; EMA 50 (aqua, heavier) the medium term; EMA 100 (orange) the medium-to-long term; and EMA 200 (red, thick line) the underlying trend. Line thickness grows with length, so the slow average stands out as the main reference while the fast ones keep the chart uncluttered. The distance between the averages is itself a read of trend strength: widely separated, ordered averages mean a powerful trend; averages bunched together and tangled mean a directionless market.
ATR-ADAPTIVE REACTION ZONES
Each average is wrapped in a reaction band whose half-width is the ATR multiplied by a factor (Zone width, 0.6 by default): the band extends that distance above and below the average. Because ATR measures volatility, the band automatically widens in turbulent stretches and narrows in calm ones. This is the key difference versus a fixed-width envelope — which would be too tight in volatile markets and too wide in quiet ones: here the zone breathes with the market and always represents a realistic reaction range. Each band is tinted according to price position relative to its average: green when price is above — the zone acts as potential support, the region where price could find footing if it pulls back — and red when price is below — the zone acts as potential resistance, the region price must clear to reclaim the average. Transparency is configurable (85 by default): a high value keeps the bands soft so they do not hide the candles. With the five bands overlaid, the whole forms a kind of "river" whose colour and shape tell the health of the trend at a glance.
STRUCTURE: THE MOVING-AVERAGE STACK
The way the five averages are stacked summarizes the health of the trend. The indicator turns it into a score (Alignment) by evaluating each pair of adjacent averages: if the faster is above the slower, it adds; if below, it subtracts. With four pairs (9 over 20, 20 over 50, 50 over 100 and 100 over 200), the score runs from −4 to +4. At +3 or +4 the structure is a Bull Stack: the fast averages dominate the slow ones, a healthy and aligned uptrend. Between −2 and +2 it is Mixed: the averages cross, a market in transition, range or doubtful trend. At −3 or −4 it is a Bear Stack: the slow averages dominate the fast ones, a healthy downtrend. A +4 means all five averages are perfectly ordered from fast to slow top to bottom — the textbook image of a strong uptrend — and a −4 is its bearish mirror. Intermediate values (Mixed) warn that the structure is tangled and caution is warranted: it is the typical state of ranges and turns. The panel shows both the state and the exact signed number, coloured green, grey or red.
ACTIVE ZONE: NEAREST AVERAGE, ROLE AND DISTANCE
Of the five averages, at any moment one is the most relevant to price: the nearest. That is the active zone, the average price is about to test or is separating from. The indicator identifies it by computing the distance from price to each average and keeping the smallest, then determines its role from price position: Support when price is above the active average — the zone sits below and acts as potential footing — and Resistance when price is below — the zone sits above and acts as a potential ceiling. The distance from price to the active average is expressed in ATR multiples (Dist ATR), which makes it comparable across instruments and moments regardless of nominal price: 0.10× means price is practically glued to the average, inside the zone and about to react, while 1.50× means price is very extended, far from any reference and likely to seek the average again.
REACTION TRACKING
The heart of the indicator is what happens when price enters the active average's zone. Instead of assuming a bounce, it follows it: it records the moment of contact — when the candle's range touches the active average's band, noting which average was touched and in which role — and watches the following candles within a confirmation window (5 candles by default) until it resolves in one of four ways. Bounce up: the average was acting as support and price moves away upward by at least Move to confirm × ATR (0.5× by default) above the average; support has held. Bounce down: the average was acting as resistance and price moves away downward by that same distance; resistance has stopped price. Break down: the average was support but price breaks below the zone; support has given way. Break up: the average was resistance but price breaks above; resistance has fallen. If neither the move-away nor the break occurs within the window, the follow-up closes without a resolution. The result appears in the panel, in the Last react. row, with the type of reaction and the average where it happened — for example "Bounce up (EMA 9)" — coloured green if bullish and red if bearish. The distinction is the operative key: a bounce confirms the average still defends the trend; a break warns the reference has given way and the structure may be changing. The indicator does not guess which it will be; it waits for price to decide on the closed bar.
CROSS MARKERS (SECONDARY)
As a secondary, optional layer, the indicator marks the crosses between averages, a classic technical-analysis event and a visual complement that is not the protagonist — the weight of the read rests on the zones and the structure. A fast cross up (the fast average crosses above the next, 9 over 20) draws a small green x below the candle; a fast cross down, a red x above the candle. The classic golden cross (the intermediate average crosses above the slow one, 50 over 200) appears as a yellow diamond, and the death cross (50 below 200) as a maroon diamond. The x-crosses warn of early turns in the immediate trend; the diamonds are classic signals of an underlying trend change. This whole layer can be switched off entirely with a single toggle for a clean read focused on the zones.
INFORMATION PANEL
The panel condenses, in a compact table under a header carrying the indicator's name, everything worth knowing at a glance, and it is drawn only on the last bar to keep the calculation light. It shows five rows: Structure (the stack state: Bull Stack, Mixed or Bear Stack), Alignment (the exact score from −4 to +4 with sign), Active zone (the nearest average and its role, e.g. "EMA 50 - Resistance"), Dist (ATR) (the distance from price to the active average in ATR multiples) and Last react. (the last recorded reaction, bounce or break, and the average where it happened). Each row is coloured by its state. The panel sits in any of the four chart corners (Top Right by default), offers two themes (Dark and Light) to blend with the background, and can be hidden entirely.
NO REPAINTING
All calculation runs on the current chart timeframe, with no higher-timeframe functions, which keeps the indicator light. Every confirmation — a bounce, a break, a structure change — is fixed on the candle close: the reaction tracking does not guess the future, it waits for price to move far enough from the average to declare a bounce, or to break the zone to declare a break. In exchange for not getting ahead of itself, it does not mislead.
CONFIGURATION
The inputs are grouped by functional block. EMAs sets the five lengths (9 / 20 / 50 / 100 / 200 by default). Reaction Zones controls band visibility, the ATR length (14), the width factor (Zone width, 0.6) and the transparency (85). Reaction Tracking defines the confirmation window (5 candles) and the bounce-confirmation distance (Move to confirm, 0.5× ATR). Cross Markers turns the x-crosses and diamonds on or off. Dashboard controls panel visibility, position and theme. The defaults are calibrated to work without adjustment on stocks, crypto, forex, indices and futures, on any timeframe. The parameter most worth exploring is Zone width (ATR x): raising it produces wider, more tolerant zones — fewer breaks, more bounces — and lowering it, tighter, more demanding zones.
ALERTS
Three predefined alerts are configured from PulseWire's alert menu by selecting the indicator as the condition. Reaction zone entered fires when price enters the active average's reaction zone — it has just touched the band and the follow-up opens: the earliest signal, but the least confirmed, since it is not yet known whether a bounce or a break will follow. Reaction confirmed waits for the bounce to materialize — price has moved away from the average by the required distance in the direction of the role — and is more reliable at the cost of arriving later. Stack structure change flags the stack's structure turns (for example, from Mixed to Bull Stack), useful to detect trend-regime shifts. All fire on bar close, consistent with the indicator's anti-repaint validation.
HOW TO READ IT
Trade with the structure: in a Bull Stack, looking for footing on the green dynamic-support bands has the wind at your back; in a Bear Stack, looking for rejections on the red bands; when the structure is Mixed, the prudent move is to cut exposure or wait, because the market has no clear direction. Use the active zone as an immediate reference: a support zone with price glued to it (low Dist ATR) is a typical setting for a possible bounce with the trend, while a resistance zone with price very extended warns that price is far from any reference. Wait for the reaction to resolve: contact with a zone is not, by itself, a signal — waiting for the follow-up to settle, Bounce or Break, reduces premature decisions. And read the band width as a volatility gauge: wide bands mean a volatile market and warrant more room; narrow bands mean calm and often the prelude to a move. A reaction gains reliability when it coincides with relevant levels on the instrument itself, a demand zone or a higher-horizon support: the indicator provides the trend-and-reaction context; confluence with the broader market structure turns the read into an opportunity.
OPEN SOURCE
Edo Reaction Zones is published as a free open source indicator. The full Pine Script is publicly accessible on PulseWire for study, adaptation and integration into any workflow. Part of the Edolab Markets free tools ecosystem, all publicly available on PulseWire.
This indicator is a technical analysis tool for educational and informational purposes only. It does not generate automatic buy or sell signals and should not be considered financial advice. Trading financial markets involves significant risk of capital loss. Past performance does not guarantee future results. Always use proper risk management. Indicator
Indicator
MTF Bull/Bear TableMTF Bull/Bear Table — Multi-Timeframe Confluence Scanner
OVERVIEW
This tool scans a custom watchlist of symbols across five timeframes at once
(5m, 15m, 1h, 4h, 1D) and displays the result as a single table, so you can
read directional confluence across your whole list at a glance instead of
flipping through charts one by one.
For each symbol/timeframe pair, the script classifies trend state as:
BULL — price is above both the fast MA and the slow MA
BEAR — price is below both the fast MA and the slow MA
NEUTRAL — price is on opposite sides of the two MAs (mixed signal)
By default the fast MA is a 20-period SMA and the slow MA is a 200-period
SMA, the classic short-term/long-term trend pair — price above both means
both timeframes agree the trend is up, price below both means they agree
it's down, and a mixed reading flags a timeframe that's transitioning or
consolidating. Both MA lengths are adjustable in the settings.
HOW TO READ THE TABLE
Each row is one symbol. Reading left to right:
TICKER the instrument
PRICE current live price (read from the daily context; it
updates in real time and is not a fixed daily close)
24H% / 1H% / 4H% percentage change since the last completed candle close
on that timeframe (daily / 1h / 4h respectively), colored
by sign. This is not a fixed rolling window — the actual
elapsed time varies depending on where price currently
sits within the still-forming candle (e.g. "24H%" can
reflect anywhere from a few minutes to nearly 24 hours
of movement, depending on the time of day).
5M / 15M / 1H / 4H / D trend state for each timeframe, color-coded:
green = BULL, red = BEAR, gray = NEUTRAL
Reading a row across the five timeframe columns shows you confluence at a
glance: five green cells is trend alignment from intraday noise all the way
up to the daily chart — a high-conviction directional read. A mix of colors
means timeframes disagree, which typically means either a transition in
progress or a level currently being tested.
This is a screening and context tool, not a standalone entry signal — it
tells you which timeframes agree and which don't, not where to place a
trade. Combine it with your own setup criteria (structure, volume, price
action) for actual entries.
SETTINGS
Symbols comma-separated list with full exchange prefix
(e.g. HYPERLIQUID:BTCUSDC.P). PulseWire cannot read your
saved watchlist programmatically, so the list is entered
directly in the script settings.
Fast / Slow MA length default 20 / 200, adjustable
Table position corner of the chart the table is drawn in
Show price columns toggle price/change columns on or off
LIMITATIONS
PulseWire caps every script at a fixed number of unique request.security()
calls — 40 on non-Pro plans, 64 on Pro/Expert/Ultimate. This script uses one
call per symbol per timeframe (5 timeframes), so the practical ceiling is
roughly 8 symbols on a non-Pro plan and ~12 on Pro. Trim the symbol list to
fit your plan; the script will show "N/A" for any symbol it fails to resolve
rather than breaking the whole table.
Percentage-change values for 24H/1H/4H are pulled from the same requests
already used for the trend classification, so they add no extra request
cost beyond the base 5-per-symbol. Indicator
FVG Rejection SignalFVG Rejection Confirmed
FVG Rejection Confirmed is a price action indicator designed to identify high-confluence reversal and continuation opportunities inside Fair Value Gaps (FVGs). It combines Fair Value Gap context, wick rejection, and momentum confirmation into a simple, objective signal.
How It Works
The indicator looks for three conditions:
Step 1: Price enters a Fair Value Gap
The indicator identifies standard three-candle Fair Value Gaps and waits for price to trade back into an active gap.
Step 2: Rejection candle
Once price is inside the Fair Value Gap, the indicator looks for a rejection candle.
A bullish rejection candle must:
* Close bullish.
* Have a lower wick that is larger than its body.
A bearish rejection candle must:
* Close bearish.
* Have an upper wick that is larger than its body.
When these conditions are met, the indicator plots an arrow.
Step 3: Confirmation candle
The very next candle is evaluated for confirmation.
A Buy signal is generated when:
* The previous candle printed a bullish rejection arrow.
* The current candle closes bullish.
* The current candle’s body is larger than the previous candle’s body.
A Sell signal is generated when:
* The previous candle printed a bearish rejection arrow.
* The current candle closes bearish.
* The current candle’s body is larger than the previous candle’s body.
Purpose
The goal of the indicator is to help traders identify moments where:
* Price retraces into a Fair Value Gap.
* The market rejects lower or higher prices.
* Buyers or sellers immediately demonstrate increasing momentum.
Rather than entering solely because price reaches a Fair Value Gap, this indicator waits for both rejection and confirmation before generating a trading signal.
Notes
* Uses the standard three-candle Fair Value Gap definition.
* Signals are only generated after the candle has closed, helping avoid repainting during candle formation.
* Designed as a confirmation tool and should be used alongside market structure, liquidity, higher time frame bias, and sound risk management.
This indicator is intended to provide objective, repeatable signals while keeping the underlying logic simple and transparent. Indicator
Market Structure - MTFOverview
This indicator maps market structure by detecting confirmed swing points, labelling them as HH, HL, LH or LL, and marking every structural break as either a Break of Structure (BOS) or a Change of Character (CHoCH). It runs on the chart timeframe by default and can optionally read structure from any higher timeframe while you work on a lower one.
How swings are detected
Swings come from ta.pivothigh / ta.pivotlow at a user-defined Pivot Strength. A pivot requires that many closed bars on each side before it is confirmed, so structure labels never move once drawn — the trade-off is that each swing appears with that many bars of delay.
How swings are classified
Most structure scripts label a swing high as HH whenever its wick exceeds the previous swing high. This script requires both conditions: the new swing's high must exceed the previous swing's high and its close must exceed the previous swing's close. A single wick poking above a prior high with a weak close is labelled LH instead. The low side mirrors this — LL requires both a lower low and a lower close. This produces fewer HH/LL tags and filters out swings driven entirely by liquidity wicks.
How breaks are classified
The script maintains a directional bias that flips only on a structural break:
BOS — price breaks the last swing high while bias is bullish, or the last swing low while bias is bearish. Continuation.
CHoCH — price breaks the last swing low while bias is bullish, or the last swing high while bias is bearish. This is the first break against the prevailing structure and marks a potential regime change.
Each swing level can only be broken once, so a level never fires repeated signals. A break draws a line from the origin swing to the break bar, with the label placed above the line for bullish events and below for bearish.
Break Confirmation setting
Close — a break requires a candle to close beyond the level. Stricter, fewer signals, drawn as a solid line.
Wick — any trade through the level counts. Earlier signals, drawn as a dashed line to flag that price never committed beyond it.
Structure Timeframe setting
Leave blank to follow the chart. Set it explicitly (e.g. 60) to keep higher-timeframe structure on screen while executing on a lower timeframe. Requests use lookahead_off, so higher-timeframe swings only appear after that bar closes.
Dashboard
Shows the active structure timeframe, current bias, the live swing high and swing low, and the CHoCH level — the price that would invalidate the current bias if broken.
Alerts
Four conditions: Bullish BOS, Bearish BOS, Bullish CHoCH, Bearish CHoCH.
Settings guidance
Lower Pivot Strength (3–4) gives more granular intraday structure; higher values (5–7+) give cleaner swings on daily and above. Higher values on higher timeframes generally produce more readable structure. Label Offset controls the vertical gap between text and lines in ATR units.
Notes and limitations
A CHoCH is an early warning, not confirmation — many traders wait for a subsequent BOS in the new direction before treating a reversal as established. Structure labels and break tests use different criteria by design: labels compare closes for classification, while the break test follows your Break Confirmation setting against the wick extreme, so a swing tagged LH can still produce a bullish BOS if price later closes above its high. In ranging conditions the bias will flip frequently. This tool describes structure; it does not generate entries or exits on its own. Indicator
Previous Day High Low Key Levels, Reach Stats & Alerts [LunqFX]The previous day high and previous day low — PDH and PDL — are the first two levels most intraday traders mark on the chart, together with the previous week high and low. They are not hand-drawn support and resistance: they are objective facts of what the market did, which is exactly why price keeps reacting to them. This indicator plots those key levels automatically on any symbol and any timeframe, shades the previous day's range, tracks which levels are still untested, and answers the question no other levels tool answers — how often price actually reaches them on the instrument you are trading.
❶ THE LEVELS IT PLOTS
Every level is taken straight from the instrument's own higher-timeframe candles, so nothing needs configuring and it works the same on forex, gold, indices, crypto and stocks.
PDH and PDL — previous day high and low. The core intraday support and resistance levels.
PWH and PWL — previous week high and low. Higher-timeframe context for swing trading.
PMH and PML — previous month high and low, optional, for the bigger picture.
Each level is labelled with its name and exact price, and each timeframe gets its own label column on the right, so levels sitting at almost the same price never overlap.
❷ UNTESTED vs TESTED — WHICH LEVEL STILL MATTERS
This is the difference between a level that will move price and one that already has.
UNTESTED — price has not returned to it in the current period. It is drawn bright, solid and glowing. Untested levels are the strongest magnets, because the orders resting there have not been filled yet.
TESTED ✕ — price has already traded through it. The line turns dashed and dim, and the label gets a ✕. Its pull is spent, so you stop treating it as a fresh level.
The dashboard also names the NEAREST MAGNET: the closest untested level above or below price, which is the most likely place price travels to next.
❸ REACH STATS — WHAT MAKES THIS DIFFERENT
Most key-level indicators simply draw lines and stop there. This one measures how your symbol actually behaves, over the last 100 completed days:
PDH reached — the share of days on which price traded all the way up to the previous day's high.
PDL reached — the same for the previous day's low.
Break rate — of the days that did reach the level, how often price closed through it instead of rejecting from it.
That turns a line into a decision. If the previous day high is reached on 68% of days but broken on only 27% of them, a rejection is far more likely than a breakout — so you plan a fade, not a chase. On another symbol the numbers flip, and so does the plan.
❹ HOW TO TRADE IT
1 — Read the DAY RANGE state. INSIDE RANGE means balance and rotation: fade the edges back toward the middle. EXPANSION means price has left yesterday's range and the day is trending: trade continuation, not reversals.
2 — Pick the target. The NEAREST MAGNET is the closest untested level — use it as the objective for a trade you are already in.
3 — Check the stats before you commit. High reach rate with a low break rate favours fading the level; a high break rate favours trading the breakout through it.
4 — Trade the reaction. Wait for price to arrive at an untested PDH, PDL, PWH or PWL, then enter on the rejection or on the break, using the level itself as your invalidation.
5 — Look for confluence. Weekly and monthly levels outrank daily ones, and when a daily level sits right on top of a weekly level, that is the strongest zone on the chart.
❺ HOW IT WORKS
Each level is read from the previous completed higher-timeframe candle, using the offset pattern that keeps higher-timeframe data fixed, so a level never changes after it is drawn. A level is flagged tested the moment price trades through it, and resets when the new period begins. The reach statistics are calculated only from completed daily candles: the share of days whose high reached the prior day's high, whose low reached the prior day's low, and — as a conditional rate — how many of those days closed beyond the level. Nothing repaints and nothing looks into the future.
SETTINGS — turn day, week and month levels on or off, hide tested levels, shade the previous day and week range with adjustable transparency, control level width, right extension and line thickness per timeframe, switch the custom candles off, and place the dashboard strip where you want it.
ALERTS — previous day high reached, previous day low reached. Both fire on closed bars only.
This indicator is an educational market-analysis tool, not financial advice. The reach statistics describe past behaviour on the current symbol and do not guarantee future results. Always confirm with your own analysis and manage your risk.
Indicator
5min ORB + Ripster EMA Clouds5min ORB + Ripster EMA Clouds
This indicator combines a 5-minute Opening Range Breakout engine with Ripster's multi-EMA cloud system and layers an optional confluence filter on top, so breakout signals only fire when trend and higher-timeframe structure agree. It's built for intraday traders who want the opening range, trend context, and a defined profit target all in one overlay.
What it plots
Opening Range Breakout (ORB): The range is built from the first five 1-minute candles of the session (default 09:30–09:35 New York, fully configurable for your market and timezone). Once the window closes, the high, low, and midpoint are frozen and drawn as lines, an optional shaded box anchored at the session open, and optional price labels. Levels are measured on the 1-minute timeframe, so they stay identical on any chart timeframe you view.
Ripster EMA Clouds: Five configurable EMA/SMA cloud pairs (defaults 8/9, 5/12, 34/50, 72/89, 180/200) that shade green/red based on the fast-vs-slow relationship to show trend at a glance.
Breakout signals: Fire when a confirmed 1-minute candle closes outside the range, latched once per side per day.
Confluence "GO" signals (optional): A breakout is only flagged when the fast cloud (and optionally the 34/50 cloud in strict mode) agrees with the breakout direction.
Full Timeframe Continuity (optional): Requires the current Daily (and optionally 60m + 30m) candles to be pointing the same way as the trade — i.e. price above their opens for longs, below for shorts.
Profit Target Box: After the confirmation candle closes, projects a target at a configurable percentage of that candle's range (default 200%, equivalent to a 2:1 setup with the stop on the far side of the candle) and marks the moment price tags it.
How to use it
Apply it to an intraday chart (1-minute is recommended for signal accuracy). Wait for the opening range to close and freeze. Watch for a 1-minute close beyond the ORB high/low; the confluence "GO" label appears when the EMA clouds and your chosen continuity setting confirm the direction. The profit box then projects a target from the entry. All signals use confirmed, closed candles with lookahead handling designed to avoid repainting. Alerts are included for plain breakouts, confluence signals, and profit-target hits. Every input (session window, timezone, cloud lengths, filters, target percentage, colors) can be adjusted in settings.
Credits
The EMA cloud section is a faithful port of "Ripster EMA Clouds" by ripster47, converted from Pine Script v4 to v6, and is used under the Mozilla Public License 2.0. All other components — the opening range engine, 1-minute breakout confirmation, confluence logic, Full Timeframe Continuity filter, and profit target box — are original additions and make up the majority of the script.
This tool is for chart analysis and education only. It does not provide financial advice or guarantee any result; always do your own research and manage risk. Indicator
FVG Sniper [JOAT]═══ FVG SNIPER ═══
A complete Fair Value Gap engine that finds price imbalances, grades their quality, tracks how they fill, mitigate and invert, and then paints a full trade blueprint the moment a clean setup fires. One gap is spotlighted as the strongest, and every signal arrives with entry, three targets, a stop, and colored risk/reward zones — no arrows, no clutter.
▎ WHAT IT DOES
FVG Sniper detects three-candle fair value gaps (imbalances), scores each one from 0–10, and monitors its life cycle: how much of the gap has been filled, whether it has been mitigated (wick-tapped through), and whether price has closed fully through it to flip its role into an Inverted FVG (IFVG) . When a graded gap produces a rejection or an IFVG flip that agrees with the higher-timeframe bias, it draws a structured trade plan and reports the whole picture in a dashboard.
▎ HOW IT WORKS
• Gap detection — a bullish gap forms when the current low sits above the high from two bars back; a bearish gap forms when the current high sits below the low from two bars back.
• Quality filters — each candidate must clear a minimum gap size (as a multiple of ATR ) and a minimum displacement body ratio on the impulse candle, so tiny or weak imbalances are ignored.
• Grade (0–10) — blends gap size, the displacement range of the middle candle, and relative volume into a single score. Only gaps at or above your minimum grade may fire a signal.
• Fill & mitigation — the engine tracks the running extreme inside each gap to compute a live fill percentage, and marks a gap mitigated once a wick fully traverses it.
• Inversion (IFVG) — when price closes fully through a gap, its role flips; the box restyles to a dashed amber accent and the flip is logged.
• Signals — two sources you can mix or isolate: Rejection (price retraces into a live gap and reacts back out with a directional close) and IFVG Flip (a mitigated gap is closed through, confirming continuation).
• HTF bias filter — an optional higher-timeframe EMA bias must agree with the signal direction before it is allowed.
• Trade model — on a fresh signal it sets entry at close, a stop either gap-protected (just beyond the triggering gap boundary) or ATR-based, with risk clamped between a floor and a cap. Targets TP1/TP2/TP3 are placed at your chosen R multiples.
• Non-repainting — all detection, scoring and signals evaluate on confirmed (closed) bars only, and the HTF request uses no lookahead.
▎ HOW TO USE IT
• Trade in the direction of the BUY / SELL pill. The stars and score on the pill show the grade of the gap that triggered it.
• The entry line (chrome), dashed stop , and TP1/TP2/TP3 lines map the plan directly on the chart; level labels on the right print exact prices and R values.
• The green zone is the target/reward area from entry to TP3; the red zone is the risk area between entry and stop — a fast visual read of the trade's R:R.
• A single ★ spotlight tags only the strongest active gap, so you always know the best imbalance in view.
• Use live gaps as decision zones: watch the fill % of the nearest gap, and treat an IFVG flip as a shift in short-term control.
• When a trade closes, a result label prints the outcome (TP hit, stop, or exit at R) so completed setups stay readable.
• Combine with your own structure, session and news context — the gap engine locates the where , you confirm the when .
▎ KEY SETTINGS
• Engine — enable bullish/bearish detection, choose the signal source (Rejection, IFVG Flip, or both), and cap how many gaps stay visible plus their lifetime and box extension.
• Filters — ATR length, minimum gap size, minimum displacement body ratio, minimum grade, the HTF bias filter (timeframe + EMA length), and whether a directional rejection close is required.
• Trade Model — stop basis (Gap-Protected vs ATR), stop buffer/distance, risk floor and cap, TP1–TP3 in R, max trade duration, zone projection, and how many completed trades to keep.
• Visuals — toggle gap boxes, midline, hide-mitigated declutter, grade spotlight, IFVG styling, signal pills, zone boxes, lines, level and result labels, zone-reader candle coloring, optional VWAP + σ bands, and all colors/transparency/sizes.
• Dashboard — show/hide, position, text size, and dark or light panel.
▎ DASHBOARD
The on-chart panel reports: HTF bias, count of active bullish and bearish gaps, the nearest gap price and its fill %, the strongest gap's star grade, the last IFVG flip (with bar age), the active signal, any live trade with its entry, and running totals of bullish / bearish / inverted gaps detected.
▎ ALERTS
• BUY signal
• SELL signal
• Bullish IFVG Flip (inversion up)
• Bearish IFVG Flip (inversion down)
▎ NOTES
• Works on all timeframes and all assets — indices, forex, crypto, stocks, futures.
• Signals and drawings are computed on closed bars, so they do not repaint after the bar confirms.
• Object caps and hide-mitigated / declutter toggles keep the chart clean even on long histories.
• Any on-chart result labels reflect historical signals only and are illustrative, not a performance guarantee.
For research and education only. This is not financial advice. No indicator can predict the future, and past behavior does not guarantee future results — always manage your own risk.
Made with passion by JackOfAllTrades ⚡
Indicator
DTC Intra - Intraday Momentum and Context for Day TradersWhat it does
DTC Intra+ is an intraday momentum tool for day traders working the regular session. Its job is to surface momentum days early and keep the day's context in view while a move develops. The core is a set of readings that judge whether today is a real momentum day — a strict gap-and-hold flag, relative volume, an unusual-move profile, and time-of-session structure — supported by the moving averages, volume-weighted average price and a multi-market minicharts panel you use to trade once a momentum day is confirmed.
The parts that are specific to this tool
- Strong Start (gap and hold). Instead of a raw gap-up alert, this flags a day only when the stock gaps up and then holds the gap: the open is above the prior close and the day's low never breaks back below that prior close by more than a tolerance you set. A gap that holds behaves very differently from one that fills, so this is a stricter and more actionable read than a plain gap alert.
- Burst ranker. Counts how many large single-day moves (up 5%, 10% and 17% or more) a stock has produced over a chosen lookback and summarizes the result as a Great / Good / Low read on a daily chart. This describes the stock's momentum regime — whether it is the kind of name that produces the explosive days an intraday momentum trader is looking for — rather than just its state today.
- Multi-market minicharts panel. Up to three mini candlestick panels of any symbols and timeframes you choose are drawn on the chart, so you can watch an index, a sector benchmark or a related market without leaving your main chart. Each mini panel is rescaled to fit its own compact frame, so a very different price scale never distorts your main chart's axis, and each can show its own moving average and volume-weighted average price. The panel is off by default; turn it on with its master switch. If you enable it on a higher timeframe than a panel's own setting (for example viewing a Daily chart with a panel set to 5 minutes), the panel automatically falls back to the chart's timeframe instead of loading excessive intrabar data.
Credit: this panel is adapted from the open-source "Minicharts Multi Market" engine by PulseWire user helman13 (Herman Trading), used under its Mozilla Public License 2.0. Several markets side by side with trend and value context on each — which is what an intraday trader watching related instruments needs. Credit for the minicharts engine goes to helman13; the rest of the tool is original to DTC Intra.
Momentum and context readings
A single, repositionable table gathers the numbers that tell you whether today matters:
- Relative volume — today's volume against its historical average.
- Daily average range percentage — a quick read on the stock's typical daily travel.
- The burst ranking and Strong Start flag described above.
- Sector/industry lookup and a session-in-progress readout.
Session structure and volume behavior
- Intraday session boxes (morning, mid-day and afternoon by default, matched to NSE trading hours) with fully editable time ranges, timezone and colors, so you can see at a glance which part of the session a move happened in — participation and reliability differ sharply between the open, the lunch lull and the close.
- Volume-based candle coloring that flags candles trading at 150% and 200%-plus of a configurable average volume, split by direction, so you can see whether a move has participation behind it without a separate pane.
- Daily divider labels to separate trading days on an intraday chart.
Trading tools (used once a momentum day is confirmed)
- Four configurable moving averages (10/20/50/200, choice of simple, exponential, weighted or Hull) and a session volume-weighted average price for intraday trend and mean-reversion reference.
How to use it
- Add it to an intraday chart.
- At the open, watch the Strong Start flag and the relative-volume reading: a held gap on above-average volume early in the session is the setup this tool is built to surface, and the burst ranking tells you whether the stock is the type that follows through.
- Use the session boxes to set expectations for the current window, and the volume candle colors to confirm participation before acting.
- Use the moving averages and volume-weighted average price to time entries and stops, and enable the multi-market minicharts panel to keep an index or related market in view for confirmation.
- Every block has its own on/off toggle, so you can reduce the tool to only the parts you use.
Notes
- Volume-based readings depend on the symbol having reliable intraday volume and are weaker where that data is poor.
- Session times default to NSE market hours in the Asia/Kolkata timezone and are meant to be edited to your own market and location.
- Tables and colors adapt to a light or dark chart automatically.
- Open source. Every input has a plain-language label and tooltip, so you do not need to read Pine to use it.
- For educational and informational purposes only. Not financial advice.
Indicator
Indicator
Friendly Trend Friendly Trend is an adaptive trend-state indicator designed to answer two practical questions:
Is the current market structure in a confirmed bullish or bearish state?
Do the selected timeframes support the same directional bias?
The indicator simplifies trend reading without reducing the analysis to a basic moving-average crossover.
It combines directional efficiency, normalized price impulse, adaptive smoothing, volatility-sensitive boundaries, confirmation rules, and multi-timeframe context into one coordinated trend model.
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🧩 WHAT MAKES FRIENDLY TREND DIFFERENT
Friendly Trend is not a collection of unrelated indicators placed on the same chart.
Every component is part of one connected trend-state engine and has a specific role:
• Directional efficiency determines whether price is moving cleanly in one direction or following a noisy path.
• Normalized impulse measures the direction and strength of recent price movement.
• Adaptive smoothing changes the response speed of the trend basis according to current market conditions.
• The volatility model determines how far price must move before a change can qualify as meaningful.
• Slope, momentum, reversal-buffer, and consecutive-bar conditions confirm a new trend state.
• The multi-timeframe dashboard applies the same complete trend engine independently to each selected timeframe.
• The Overall result converts the individual timeframe states into a weighted directional score.
The script uses established mathematical building blocks such as exponential smoothing, True Range, and absolute price change.
Its original contribution is the way these measurements are connected into one adaptive trend-state architecture rather than used as separate signals or combined into a simple indicator mashup.
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🧭 DIRECTIONAL EFFICIENCY
The model compares:
• the net distance price has moved over the selected Length;
• the total path travelled by price during the same period.
A relatively direct move produces a higher efficiency value.
A market that repeatedly moves up and down while making little net progress produces a lower efficiency value.
This measurement helps the trend basis behave differently during:
• clean directional movement;
• noisy consolidation;
• uncertain or transitional conditions.
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⚡ NORMALIZED IMPULSE
The script separately calculates directional impulse by comparing:
• smoothed signed price changes;
• smoothed absolute price changes.
The result is normalized around zero:
• positive values indicate upward directional pressure;
• negative values indicate downward directional pressure;
• values close to zero indicate weak or balanced movement.
Impulse performs two functions inside the model:
It helps determine how quickly the adaptive basis should react.
It filters trend changes that are not supported by sufficient directional strength.
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📈 ADAPTIVE TREND BASIS
Friendly Trend calculates a faster and a slower smoothed price estimate.
It then blends them according to the current combination of:
• directional efficiency;
• absolute normalized impulse.
During clean directional movement, the faster estimate receives more influence, allowing the basis to follow price more closely.
During noisy or indecisive conditions, the slower estimate receives more influence, reducing unnecessary reactions to minor price fluctuations.
The result is a basis that adapts its response speed instead of using one fixed smoothing behavior in every market condition.
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🌊 ADAPTIVE TREND ZONE
The trend zone is not based on a fixed percentage or a single ATR value.
Its width combines:
• smoothed True Range;
• the mean absolute distance between price and the adaptive basis;
• the relationship between short-term and long-term volatility;
• the user-defined Band Multiplier.
The short-term versus long-term volatility ratio allows the zone to:
• expand when current market activity increases;
• contract when conditions become calmer;
• adjust to changing volatility regimes.
The volatility ratio is limited to prevent a single extreme movement from distorting the zone for an unnecessarily long period.
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✅ TREND CONFIRMATION
A new bullish state requires all of the following conditions:
• price closes above the upper adaptive boundary;
• the adaptive basis has a positive slope;
• normalized impulse is above the Momentum Filter;
• price clears the additional Reversal Buffer;
• the complete condition remains valid for the selected number of Confirmation Bars.
A bearish state uses the opposite conditions:
• price closes below the lower adaptive boundary;
• the adaptive basis has a negative slope;
• normalized impulse is below the negative Momentum Filter;
• price clears the Reversal Buffer;
• the condition remains valid for the required number of closed bars.
Once a trend is confirmed, the state remains active until the opposite trend passes the same confirmation process.
This persistence is intentional. The trend does not change merely because price returns inside the adaptive zone.
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🎨 HOW TO READ THE CHART
🟢 Green basis and green zone
A bullish trend state has been confirmed.
🔴 Red basis and red zone
A bearish trend state has been confirmed.
⚪ Gray basis
The script does not yet have enough confirmed information to assign a bullish or bearish state.
🏷️ Bullish and Bearish labels
A label marks the bar where a new trend state was confirmed.
Labels are not printed on every bar.
The colored zone visualizes the active trend structure. It is not a profit target, stop-loss level, support level, or resistance level.
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🕒 MULTI-TIMEFRAME DASHBOARD
The dashboard calculates the complete Friendly Trend engine independently on four configurable timeframes.
The default timeframes are:
• 15 minutes;
• 1 hour;
• 4 hours;
• 1 day.
Each row can display one of three states:
• Bullish
• Bearish
• Neutral
The dashboard does not copy the state of the chart timeframe into the other rows.
Each selected timeframe performs its own calculation using the same adaptive trend model.
Higher-timeframe rows use the state of the most recently completed higher-timeframe bar.
When a selected timeframe is lower than the chart timeframe, the script uses a previously completed lower-timeframe state. This conservative approach introduces a small delay but avoids presenting an unfinished lower-timeframe candle as a confirmed trend.
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⚖️ OVERALL TREND
The Overall result is not calculated through a simple majority vote.
Each timeframe state is converted into a numerical value:
• Bullish = +1
• Bearish = −1
• Neutral = 0
The values are then weighted according to timeframe duration.
Larger timeframes receive more influence through logarithmic weighting, while smaller timeframes continue to contribute to the result.
The normalized score is classified as:
• Bullish when it is above the Overall Threshold;
• Bearish when it is below the negative Overall Threshold;
• Mixed when it remains between the two thresholds.
This means that two short-term bullish readings do not automatically override bearish conditions on both the 4-hour and daily timeframes.
A Mixed result indicates disagreement or insufficient directional alignment. It is not a separate market direction.
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🛠️ HOW TO USE FRIENDLY TREND
Friendly Trend is designed primarily as a directional filter, not as a complete entry system.
One possible workflow is:
1. Identify the broader bias
Use Overall to understand the weighted multi-timeframe direction.
2. Review timeframe alignment
Check the individual dashboard rows to see where agreement or disagreement occurs.
3. Confirm the local trend
Use the trend state on the chart timeframe as the immediate directional context.
4. Apply an independent entry method
Combine the indicator with your own:
• market-structure setup;
• entry conditions;
• stop placement;
• position-sizing rules;
• exit plan.
5. Treat Mixed conditions cautiously
A Mixed result suggests that directional alignment is weak or divided.
Instead of forcing a bullish or bearish interpretation, traders may choose to reduce directional conviction until the timeframes become more aligned.
For example, a trader may prioritize long setups when both the chart state and Overall are Bullish, while avoiding countertrend setups when the higher timeframes remain strongly Bearish.
This is an example of interpretation, not a trading recommendation.
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⚙️ MAIN SETTINGS
Length
Controls the main observation window used by:
• the directional-efficiency calculation;
• the slower trend basis;
• the long-term volatility model.
Higher values generally produce:
• smoother behavior;
• fewer reactions to short-term changes;
• greater signal delay.
Lower values generally produce:
• faster reactions;
• greater sensitivity to local movement;
• more potential noise.
Band Multiplier
Controls the visible width of the adaptive trend zone.
Higher values:
• require a larger move before the trend can change;
• reduce sensitivity;
• may produce fewer signals.
Lower values:
• make the model more responsive;
• reduce the distance required for a trend change;
• may increase switching during sideways markets.
Confirmation Bars
Defines how many consecutive closed bars must satisfy all trend-change conditions.
A higher value provides stricter confirmation but also delays the signal.
Reversal Buffer
Adds extra distance beyond the displayed adaptive zone before a new trend can be confirmed.
Its purpose is to reduce rapid Bullish and Bearish changes when price repeatedly tests the zone during consolidation.
Momentum Filter
Defines the minimum normalized impulse required for a new trend.
Increasing this value rejects weaker directional moves.
Setting it too high may cause the indicator to miss gradual trends that develop without strong short-term momentum.
Overall Threshold
Controls how much weighted multi-timeframe agreement is required before Overall becomes Bullish or Bearish.
Higher values:
• require stronger agreement;
• produce more Mixed readings.
Lower values:
• classify directional alignment more easily;
• produce Bullish or Bearish results more frequently.
Time Frame 1–4
Define the four periods calculated in the dashboard.
The timeframes can be adjusted to match the user’s trading horizon.
A logical progression from lower to higher periods generally provides the clearest context.
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🔔 ALERTS
The script includes alert conditions for:
• confirmed bullish trend changes on the chart timeframe;
• confirmed bearish trend changes on the chart timeframe;
• any confirmed chart-timeframe trend change;
• bullish and bearish changes for each dashboard timeframe;
• changes of Overall to Bullish;
• changes of Overall to Bearish.
Chart-timeframe trend alerts are based on confirmed bar-close changes.
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⏱️ REAL-TIME AND CONFIRMED-BAR BEHAVIOR
The adaptive basis and visible zone can move while the current price bar is still open because they reflect live market data.
However:
• the chart trend state changes only after the bar is confirmed;
• Bullish and Bearish labels are generated only on confirmed chart bars;
• chart-timeframe trend alerts are based on confirmed state changes;
• higher-timeframe dashboard states use completed higher-timeframe bars;
• lower-timeframe dashboard states are intentionally delayed to avoid using an unfinished lower-timeframe candle as a confirmed signal.
Users should distinguish between:
• the live movement of the adaptive basis and zone;
• a confirmed change of trend state.
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⚠️ LIMITATIONS
Friendly Trend does not predict future prices.
Like any trend-following model, it may react with delay after a sudden reversal.
Confirmation Bars, the Reversal Buffer, and the Momentum Filter intentionally exchange some response speed for greater trend stability.
Sideways markets can still produce alternating trend states, especially when using:
• a short Length;
• a narrow trend zone;
• low confirmation requirements.
The indicator does not guarantee exact entries, exits, profits, or a specific win rate.
It should be used together with independent analysis and appropriate risk-management rules. Indicator
ATR Trend Rail🚦 ATR Trend Rail — a trend rail that knows when to shut up.
Most ATR / SuperTrend clones flip you into every chop-fest, then repaint the "perfect" entry after the candle closes. This one doesn't. It runs on a single idea: a trailing ATR band is only worth trading when the market regime agrees with it. 🎯
WHAT'S UNDER THE HOOD
📐 The rail — a trailing ATR band that latches trend state and rides price until volatility says the move is done. Adaptive, clean, no lag-heavy MA soup.
🧭 Regime filter (the whole point) — every flip is gated against a regime SMA. Leave it on your chart timeframe, or point it at an HTF for a top-down bias. Wrong side of regime? The signal never fires. This is the piece most trend tools skip entirely.
🚫 Non-repainting, for real — flips confirm on closed bars only, the regime pull runs lookahead-off with a realtime offset, and each leg's regime status locks the moment the flip bar closes. What you see in replay is what you'd have traded live. No hindsight magic.
🌫️ Faded legs — trends that fire against regime don't disappear, they dim. You still see the move; you just know it didn't earn a signal. Context, not censorship.
🔔 Alerts that behave — Bull, Bear, and Flip, confirmed-bar only. Set them once and trust them.
READ IT IN ONE GLANCE
🟢 Bright rail under price → confirmed uptrend, regime agrees
🔴 Bright rail over price → confirmed downtrend, regime agrees
⚪ Faded rail → the move exists, regime says wait
🔺 Triangle + Bull / Bear tag → a flip that passed the gate
Still useful after it's been on your chart a while. 🚦
— SlatinaTrades Indicator
Indicator
Market Structure MTF Dashboard v6.3 [SMC]Tired of cluttering your charts with manual lines, missing high-probability setups, and getting trapped by low-volume fakeouts?
Market Structure MTF Dashboard v6.3 is a institutional-grade analytical engine engineered for traders utilizing Smart Money Concepts (SMC) and Price Action. This script completely automates your technical analysis by scanning market structure, validating breaks with raw volume metrics, tracking institutional liquidity sweeps, and filtering micro-noise—all condensed into a beautiful, ultra-compact graphical dashboard.
Whether you trade Crypto, Forex, or Indices, this tool does the heavy lifting in the background, shifting your focus from tedious chart drawing to executing razor-sharp setups.
🛠️ Core Engine Features & Built-in Logic
1. High-Precision Swing & BOS Engine
Dynamic Pivot Detection: Automatically maps swing structure using adjustable left/right structural wings (leftBars / rightBars).
True Break of Structure (BOS): Choose between conservative body-close confirmation (breakByClose) or aggressive wick breaches.
RVOL Filtering: Eliminates low-liquidity fakeouts. A structure break is only considered validated if the breakout candle is backed by expansion volume exceeding the 20 SMA.
2. Smart Money Footprints: Sweeps & FVGs
Liquidity Sweep Tracking: Detects false breakouts at key major highs/lows. If the price spikes past an old extreme but closes back inside the range, the engine instantly highlights a liquidity grab—one of the most powerful reversal signals in trading.
Adaptive Fair Value Gaps (FVG): Tracks institutional inefficiencies. FVGs are dynamically filtered based on a minimum percentage size of the asset price (fvg_min_size) to avoid noise, and they remain live until fully mitigated (tested) by price action.
3. Multi-Timeframe (MTF) Context & Premium/Discount Matrix
HTF Core Scanning: Fetches 4-Hour and Daily structural trends directly in the background.
Equilibrium 0.5 Line: Plots the crucial midline of the 4H trading range.
Value Assessment: Instantly updates whether price is inside the Premium Zone (expensive — look for Shorts) or Discount Zone (cheap — look for Longs) relative to the HTF range.
4. Next-Gen Smart UI (Dashboard Layout)
Real-time Context Trigger (Top Row): Shows active Fibonacci expansion targets (T1 / T2) with exact real-time prices, live unmitigated FVG levels, or flashing institutional confirmations (⚡ SWEEP L / SWEEP H).
Market Sentiment Histogram: A clean visual matrix (🟩/🟥) aggregating multi-timeframe weights to score total buyer vs. seller control.
Chronological Session Tracker: Fully optimized single-row display.
Left tile: Color-coded active session (Asia, London, NY) or overlaps (e.g., LON+NY).
Right tile: Displays the exact local opening time of the upcoming session based on your custom tzOffset. No confusing countdowns—you know exactly when volatility is hitting the clock.
📘 How to Trade It: Official Rules (Trading Rules)
This script is designed to act as an educational market assistant, providing pure mechanical logic and potential structural entry points rather than blind commercial trading signals. For maximum probability, follow these two systematic setups:
🟩 The Institutional Long Setup
HTF Trend Alignment: The 4H matrix block must be green (Bullish structure).
Premium/Discount Context: Current price must be trading in the Discount Zone (below the yellow dashed Equilibrium line).
The Trigger: The dashboard prints a flashing ⚡ SWEEP L: CONFIRMED LONG signal, showing that retail sell-stops were hunted and price recovered.
Targets: Take profit at T1 / T2 prices printed on the dashboard, with the ultimate target being the high of the 4H range.
🟥 The Institutional Short Setup
HTF Trend Alignment: The 4H matrix block must be red (Bearish structure).
Premium/Discount Context: Current price must be trading in the Premium Zone (above the yellow dashed Equilibrium line).
The Trigger: The dashboard prints a flashing ⚡ SWEEP H: CONFIRMED SHORT signal, showing that retail buy-stops were grabbed before a sudden drop.
Targets: Take profit at T1 / T2 short target prices, aiming down toward the low of the 4H range.
📅 Smart Weekend Protection Filter
No more distorted charts or broken session calculations during illiquid market closures.
Forex & Indices: The session tracker automatically freezes on Saturdays and Sundays, displaying a clean ⏸️ WEEKEND status tile.
Crypto Markets: The filter automatically detects asset types, bypassing the weekend pause to ensure continuous 24/7/365 live session mapping.
Disclaimer: Past performance is not indicative of future results. Use proper risk management and treat this tool as a systematic structural assistant to streamline your confluence. Indicator
VSA TrailEffort-Displacement VSA Trail
Effort-Displacement VSA Trail is a scalping-oriented VSA-style indicator built around a custom effort-result signal gate.
The script uses common technical-analysis building blocks such as ATR, SMA, volume, candle body, and trailing-stop direction, but the signal logic and the way these parts are combined are original to this script.
The core idea is simple: a directional signal should not appear only because price crossed a trailing stop, and it should not appear only because volume increased.
A Buy or Sell label is printed only when three things align on the same bar:
1. ATR trailing-stop direction confirms the active side.
2. Volume expands above its own baseline.
3. Price displacement expands above its own baseline.
The displacement layer is calculated as:
body = abs(close - open)
gap = abs(open - previous close)
displacement = body + gap
This is the main design difference of the script.
Instead of measuring only candle body size, the script also includes the opening gap from the previous close.
This creates a stricter effort-result model: volume must be accompanied by real directional displacement before a signal is allowed.
The ATR trailing stop acts as the directional regime layer.
The volume condition acts as the effort layer.
The displacement condition acts as the result layer.
Only when direction, effort, and result confirm each other does the script print a Buy or Sell signal.
This is not a generic volume spike tool and it is not a plain ATR trailing-stop indicator.
It is a combined VSA-style confirmation model designed to reduce weak signals where volume increases but price movement does not meaningfully follow.
Public / common components used:
- ATR calculation with ta.atr()
- SMA baselines with ta.sma()
- ATR-style trailing-stop direction logic
Original elements:
- Body-plus-gap displacement confirmation
- Same-bar effort-result validation
- Signal gating that requires ATR direction, volume expansion, and displacement expansion together
- Stateful Buy/Sell logic that avoids repeating the same-side signal until direction changes
This script does not include copied third-party script code.
It was built as an original combination of standard Pine Script functions and custom signal logic.
Use case:
This indicator is intended for short-term chart analysis where the trader wants to see only those directional moments where trailing-stop bias, volume expansion, and displacement expansion confirm each other.
Limitations:
The script is not a complete trading system.
It does not include position sizing, take-profit rules, slippage modeling, spread handling, or full risk management.
Signals can still fail in choppy, illiquid, or news-driven market conditions.
Disclaimer:
This script is for educational and informational purposes only.
It is not financial advice, investment advice, or a recommendation to buy or sell any asset.
Trading involves risk.
Past signals do not guarantee future results.
Always use your own analysis and risk management. Indicator
Golden Cross Engine [Quantum Algo]Golden Cross Engine
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🔶 OVERVIEW
Golden Cross Engine is a complete golden cross and death cross indicator that goes far beyond marking the moving average crossover: it counts down to the next cross before it happens, grades every cross by quality, measures what golden and death crosses have actually done on the current symbol with honest statistics, and lets every cross marker settle into its real outcome so the chart itself shows which crosses worked and which failed.
The golden cross — the fast moving average crossing above the slow, classically the 50 over the 200 — is one of the most watched events in all of trading, and the death cross is its bearish mirror. Every major cross makes financial headlines. This engine turns that famous event from a headline into a measurable, projectable, and auditable object on your chart.
🔶 WHAT ARE THE GOLDEN CROSS AND DEATH CROSS?
A golden cross occurs when a faster moving average (traditionally the 50 period) closes above a slower one (traditionally the 200 period), signaling that intermediate momentum has overtaken the long-term trend — historically read as the start of a bullish regime. A death cross is the opposite: the fast average crossing below the slow, read as the start of a bearish regime. Because both averages move slowly, the cross itself is a lagging event — which is exactly why this engine adds a convergence countdown that shows the cross forming before it prints.
🔶 WHY THIS SCRIPT IS ORIGINAL
1. The convergence countdown. The engine measures the current slope of both averages and projects their geometry forward, drawing the two converging paths and marking where and when they would meet: "Golden Cross ≈ 9 bars" with the projected price level. It is a projection at current slopes — clearly labeled as such, never a forecast — and it makes the most-watched lagging signal in trading visible in advance. An approach alert fires when the countdown first enters your chosen lead window.
2. Markers that settle into their outcome. Every cross prints in neutral gold, then resolves twenty bars later: the bullish or bearish color if the cross delivered, faded gray if it failed. The chart becomes its own audit trail — scroll back and see the honest history of every cross on the symbol.
3. Per-symbol cross statistics. Using shrinkage-adjusted win rates and Wilson confidence bounds, the engine reports how often golden and death crosses were favorable on this exact symbol and timeframe at five, twenty, and sixty bars, with sample counts and average moves — on every marker's tooltip and in the dashboard. It answers "does the golden cross actually work here" with data instead of folklore.
4. Cross quality grading. Every cross is graded A, B, or C from three observable conditions: elevated volume at the cross, slope steepness of the fast average, and momentum confirmation of price relative to it. Grade A crosses are the full-confluence events.
5. A living regime fill. The zone between the averages breathes: the bullish or bearish tint intensifies as the gap widens and pales as a cross approaches, so regime strength and regime fatigue are visible at a glance. Cross bars flash once.
6. Multi-timeframe cross state. The dashboard shows whether the fast average is above or below the slow on the fifteen-minute, one-hour, four-hour, daily, and weekly timeframes simultaneously — full-stack regime alignment in two compact rows.
🔶 HOW IT WORKS
Averages: Selectable simple or exponential averages at configurable lengths, defaulting to the classic 50 and 200.
Countdown: The engine computes each average's recent slope and solves the convergence geometry. When the averages are approaching within the horizon, it draws both projected paths, the meeting diamond with the bar count, and the projected level. When they are separating, the dashboard reads Diverging.
Statistics: Each confirmed cross records what price actually did five, twenty, and sixty bars later, in the cross's direction, into capped first-in-first-out databases. Win rates are pulled toward fifty percent by pseudo-samples so a thin history cannot display fake confidence, and each rate carries a Wilson lower bound. Crosses are rare events by nature, so sample counts are honest and often small — markers read "collecting history" until the minimum is met.
Outcome settlement: Each marker stores its cross price; twenty bars later it recolors by the realized directional outcome and joins the capped history.
Grading: Volume z-score, normalized slope steepness, and price-side confirmation combine into the A, B, C grade shown on the marker tooltip and dashboard.
Non-repainting: Crosses, grades, and statistics are evaluated on closed bars. The countdown updates on the live bar by design — it is a live projection, and it is labeled as one.
🔶 HOW TO USE IT
1. The natural home is the daily chart of major symbols — indices, large-capitalization stocks, cryptocurrency — where the 50 and 200 cross is the famous event. Intraday charts work identically with proportionally more crosses and deeper samples.
2. Watch the countdown as regime alarm: a shrinking bar count with a steepening fast average means the regime change is forming in front of you.
3. Read the settled history before trusting a fresh cross: a chart full of gray markers is telling you crossovers chop on this symbol; a chart of colored ones is telling you they trend.
4. Use the grade as confluence: an A-grade cross with volume, steep slope, and price confirmation is a different event from a flat, quiet drift-through.
5. Check the timeframe rows: a golden cross on your chart while the daily and weekly already sit bullish is alignment; against them, it is a counter-trend event.
6. The statistics rows are context, not commands — favorable rates describe this chart's history, never the next cross.
🔶 SETTINGS
- Average type and both lengths.
- Countdown: projection toggle, horizon, and approach alert lead.
- Statistics: sample cap, minimum samples to grade, shrinkage strength, Wilson z-score, markers to keep.
- Visuals: all colors, gradient fill toggle, cross-bar flash toggle.
- Themeable dashboard: position, four text sizes, title band, background, frame, grid, and three text colors.
🔶 ALERTS
- Golden Cross / Death Cross — the crossover confirmed at bar close.
- Golden Cross Approaching / Death Cross Approaching — the countdown first entered the alert lead window at current slopes.
- Grade A Cross — a cross fired with full quality confluence.
🔶 FREQUENTLY ASKED QUESTIONS
Does the indicator repaint? No. Crosses, grades, statistics, and marker settlement are evaluated on closed bars. The countdown is a live-bar projection and is explicitly presented as one.
Is the countdown a prediction? No. It is where the averages meet if both keep their current slopes. Slopes change; the countdown updates with them. Its value is showing the event forming, not promising the date.
Why are the sample counts small? Because genuine crosses are rare — a daily chart may produce only a handful in years of data. The engine shows honest small numbers with confidence bounds instead of inventing large ones, and lower timeframes build deeper samples.
Why did an old cross marker turn gray? It failed: twenty bars after that cross, price had not moved in the cross's direction. Gray markers are the audit trail working.
Which lengths should I use? The classic 50 and 200 define the famous event. Faster pairs produce more crosses and richer statistics at the cost of more noise.
🔶 CREDITS
The golden cross and death cross are classical moving-average crossover concepts in the public domain of technical analysis, watched across generations of market participants. The Wilson score interval is by Edwin B. Wilson (1927), and shrinkage estimation is standard public statistics. This script gratefully acknowledges that shared lineage. The convergence countdown and projection geometry, the outcome-settling markers, the per-symbol statistical grading, the living regime fill, and all code in this script are original work — no third-party or open-source script code was reused.
🔶 LIMITATIONS
Moving average crossovers are lagging by construction, and the countdown inherits the assumption of stable slopes. Cross samples are naturally small on higher timeframes; statistics mature with history and faster settings. Volume grading is less meaningful on symbols with unreliable volume reporting. Multi-timeframe rows describe state, not signals. No indicator replaces independent analysis.
🔶 DISCLAIMER
This script is provided strictly for educational and informational purposes. It is not financial advice, an investment recommendation, or a solicitation to buy or sell any financial instrument. Past behavior of any cross, projection, or statistic does not guarantee future results. Trading involves substantial risk. Always do your own research and manage risk independently. Indicator
Next Candle Predictor V4.1## Next Candle Predictor V4.1 — Terminology and Presentation Update
This update improves the clarity of the indicator's terminology and on-chart presentation while preserving its existing calculation framework, weighting structure, visual layout, and signal conditions.
### Changes
- Renamed displayed “Prediction” values to “Directional Score”.
- Replaced “Perfect Time” with “Strong Setup”.
- Renamed the volume-derived component to “Estimated Volume Pressure”.
- Renamed projection visuals to “Directional Scenario Candles”.
- Updated dashboard labels and alert messages for clearer interpretation.
- Removed performance-target wording.
- Added author attribution: Developed by Ceyhun C. Canbazoglu.
### Score Interpretation
The displayed long and short percentages are normalized directional confluence scores derived from the indicator’s rule-based components.
They are not statistical probabilities, expected win rates, guarantees, or forecasts of the next candle’s result.
### Estimated Volume Pressure
Estimated Volume Pressure uses OHLCV data and the closing price’s position within the candle range to estimate directional pressure.
It is not exchange-level bid/ask volume delta or actual aggressive buying and selling volume.
### Directional Scenario Candles
The optional scenario candles are volatility-scaled visualizations based on the indicator’s current directional scores.
They do not forecast the next candle’s exact open, high, low, close, direction, or price target.
### Core Framework
The existing multi-factor framework remains unchanged and continues to evaluate:
- trend direction,
- EMA alignment,
- MACD momentum,
- RSI position,
- Stochastic conditions,
- ADX trend strength,
- relative volume,
- estimated volume pressure,
- and volatility regime.
This indicator is intended as a technical-analysis and decision-support tool. It does not provide financial advice or guarantee trading results. Indicator
MTF Wick DetectorMTF Wick Detector
Spot rejection wicks from higher timeframes without ever leaving your chart.
MTF Wick Detector scans the 15m, 30m, 1h, 2h and 4h candles in real time and marks every significant wick directly on your current chart — no matter what timeframe you are trading on. Instead of flipping between five charts to check whether the 4h just printed a rejection, you see it the moment it happens, exactly where it happened.
WHAT IT DOES
• Monitors five higher timeframes at once: 15m, 30m, 1h, 2h, 4h — each one can be toggled on/off and has its own color.
• When a higher-timeframe candle closes with a significant wick, a small triangle is drawn on the exact chart bar that printed the extreme, at the exact price of the wick tip — above the bar for upper wicks (selling rejection), below it for lower wicks (buying rejection).
• Works only on closed HTF candles → no repainting. What you see in a backtest is what you would have seen live.
• Optional summary table (top right) shows the latest wick readings for every active timeframe.
• Built-in alert: get notified when a significant wick prints on any active timeframe.
HOW A "SIGNIFICANT WICK" IS DEFINED
Upper wick = high − max(open, close). Lower wick = min(open, close) − low.
A wick is marked only if it passes BOTH filters (set either to 0 to disable it):
1. Percent of range — the wick must be at least X% of the candle's total high-to-low range (default 50%). This captures the proportion: the candle visually looks like a rejection.
2. Minimum height in pipettes — the wick must be at least X ticks tall (default 50; on 5-digit FX quotes 1 pipette = 0.00001, so 50 pipettes = 5 pips). This removes the noise: tiny doji candles that are "50% wick" but only a couple of pips tall are ignored.
The combination is the point: a proportional filter alone flags meaningless micro-candles, an absolute filter alone flags big candles with irrelevant proportions. Together they isolate candles that actually show rejection.
WHY WICKS MATTER
A large wick on a higher timeframe means price traveled somewhere and was aggressively pushed back before the candle closed — a footprint of absorption or rejection at that level. These levels frequently act as support/resistance and as origin points for reversals. Seeing them appear live on your execution timeframe lets you react while the information is still fresh.
HOW TO USE IT
• Best used on chart timeframes at or below 15m (scalping/intraday execution charts). The chart timeframe should always be lower than or equal to the timeframes you monitor.
• Color code: orange = 15m, yellow = 30m, aqua = 1h, purple = 2h, green = 4h (all customizable).
• Stacked triangles of different colors on the same bar = multiple timeframes rejecting the same level — the strongest signal this tool produces.
• Tune the two filters to your instrument: the pipette threshold uses the symbol's own tick size, so it adapts automatically from FX to futures, but the right number differs per market.
LIMITATIONS (read before using)
• Signals appear only after the HTF candle closes — by design (no repaint), which means the marker arrives at candle close, not at the wick's live formation.
• A wick is context, not a trade signal. This tool tells you WHERE rejection happened; it does not tell you whether to fade it or follow it.
• On chart timeframes above 15m, lower-timeframe requests return sampled data — keep the chart TF at or below the lowest monitored TF.
Feedback and feature requests are welcome in the comments. Indicator
Dynamic Market Metrics [MarkitTick]💡 All-in-one market analysis suite designed to unify trend evaluation, momentum measurement, and dynamic risk management into a single, cohesive interface. Rather than relying on a scattered array of disparate indicators, this unified system synthesizes multiple dimensions of market data—including volatility, money flow, and higher-timeframe confluence—to provide a comprehensive structural overview of the current asset. It visually maps trend direction, plots actionable trade risk levels, and features a real-time heads-up display (HUD) dashboard to track critical market internals without cluttering the charting workspace.
● Overview
✨ Originality and Utility
Traditional technical analysis often forces traders to compromise between lagging trend followers and noisy momentum oscillators. This script solves that divergence by integrating an adaptive trend baseline with volume-weighted momentum constraints. It is unique in its ability to automatically map forward-looking risk-to-reward brackets the moment a structural shift is confirmed. Instead of guessing where to place stops and targets, the system calculates these thresholds dynamically based on real-time volatility, offering a strictly objective framework for trade management. This eliminates the need for messy chart mashups, replacing them with a highly organized, singular logic engine.
🔬 Methodology and Concepts
The core engine of this tool operates on an abstracted synthesis of price volatility and money flow dynamics.
The primary trend anchor is established by evaluating average true price ranges against the flow of capital entering or exiting the asset.
Rather than relying on simple price crosses, the baseline only shifts when confirmed by underlying volume and momentum pressures.
A specialized breakout override mechanism constantly monitors for abnormal momentum spikes. If a sudden surge in directional velocity exceeds the baseline volatility threshold, the system immediately recalculates the trend state to adapt to the new market structure.
Trade levels are generated using a dynamic risk parity model. The system measures the precise distance between the confirmed entry trigger and the structural invalidation point, projecting synchronized target tiers that maintain strict mathematical risk-to-reward ratios.
All higher-timeframe data integration is strictly coded using offset historical referencing, ensuring absolute data integrity and preventing any future leakage or repainting artifacts.
🎨 Visual Guide
The script utilizes a clean, professional aesthetic, heavily reliant on dynamic colors and structured dashboard elements.
• The Trend Anchor and Cloud
Trend Line: A distinct, segmented line that tracks the primary market direction. It colors dynamically based on the active state (Bullish, Bearish, or Neutral).
Dynamic Cloud: A semi-transparent filled area bridging the primary trend line and a smoothed reference baseline. The thickness of this cloud visually represents the immediate strength and momentum of the trend.
Candle Coloring: Chart candles are painted to match the active trend state, providing instant visual alignment with the underlying engine.
• Trade Levels and Signals
Signal Markers: Minimalist labels appear above or below the price action to indicate confirmed structural shifts.
Stop Loss (SL) Line: A solid line representing the exact invalidation point of the active trend.
Entry Line: A dashed line marking the exact price where the signal was confirmed.
Take Profit (TP) Lines: A series of three dashed lines representing incremental target zones.
Risk/Reward Fills: Shaded background zones visually map the risk area (Entry to SL) against the reward area (Entry to TP3), allowing for immediate visual risk assessment.
• The HUD Dashboard
Located in the top right corner, this data table provides a real-time read of market internals:
Trend State & HTF Context: Displays the current directional bias on both the local and higher timeframes.
Entry, Target, and SL: Prints the exact numerical values for the active trade parameters.
Momentum & Money Flow: Visual progress bars indicating the current intensity of price movement and capital flow.
Volatility: Indicates whether the market is currently in a state of expansion or contraction.
Trend Age: A counter showing exactly how many bars have elapsed since the current trend began.
📖 How to Use
The system is designed to be highly objective. Monitor the chart for a confirmed signal marker, which indicates a shift in the underlying structural trend. Once a signal fires, the script will automatically render the Entry, Stop Loss, and Take Profit levels.
Validation: Before considering the signal, check the HUD Dashboard. A high Momentum score and an aligned Higher Timeframe (HTF) Context significantly increase the probability of continuation.
Execution: Use the exact printed Entry line for placement. The Stop Loss line dictates the hard invalidation point where the premise of the trend is broken.
Management: As price moves in the anticipated direction, manage the position by scaling out or moving protective stops as the asset crosses the TP1, TP2, and TP3 thresholds.
Breakouts: If a sudden momentum burst triggers an override, the trend state will flip immediately. Treat these as aggressive volatility expansions that require tighter risk management.
⚙️ Inputs and Settings
The settings panel is modularized for precise user control:
• Core & Breakout
ATR Mult & Length: Adjusts the core sensitivity of the volatility engine. Lower values create a tighter, more reactive baseline.
BO Override & Sens: Toggles the momentum breakout detection and dictates how much abnormal velocity is required to override the primary trend.
• Higher Timeframe (HTF)
Show HTF & TF: Enables the integration of a secondary, longer-term timeframe to act as a directional filter.
• Trade Tools & Cloud
Show Trade Levels: Toggles the rendering of the dynamic Entry, SL, and TP lines.
Cloud Settings: Controls the length, transparency, and rendering of the visual trend cloud and candle coloring.
• Alerts & Colors
JSON Action Strings: Allows users to input custom formatted strings for Long, Short, and Close actions, perfectly integrating with automated third-party execution platforms.
Colors: Fully customizable palettes for all lines, fills, dashboards, and signal markers.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The architectural foundation of this system rests on auction market theory and the statistical properties of volatility clustering. Financial markets operate through continuous auctions where price discovery is driven by the aggressive absorption of resting liquidity. This engine abstracts that process by measuring the standard deviation of price excursions—quantifying the asset's true range—and mapping it against the directional flow of capital.
By analyzing the divergence between pure price action and volume-weighted accumulation, the system identifies the true mean of value. When price deviates beyond these statistical bounds accompanied by extreme momentum, it signals a structural paradigm shift rather than a standard mean-reversion event. Furthermore, the embedded risk parity model abandons static numerical thresholds in favor of dynamic proportional scaling. The reward brackets are continuously mathematically linked to the localized volatility of the anchor point, ensuring that the risk-to-reward distribution remains statistically constant regardless of the asset's current expansion or contraction phase.
⚠️ 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. Indicator
PSAR Trend Filter PSAR Trend Filter is an event-based trend filtering indicator built around Parabolic SAR reversals.
It helps separate ordinary PSAR direction changes from events that also meet the selected trend direction, movement strength, and confirmation requirements.
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🎯 CORE CONCEPT
PSAR Trend Filter is not designed as a simple combination of several independent indicators.
The script uses a structured validation sequence for one specific event:
Parabolic SAR identifies a possible direction change.
EMA checks whether the event agrees with the broader price direction.
ADX evaluates the strength of the current directional movement.
Optional candle confirmation checks the direction of the signal candle.
Cooldown limits signals that occur too close to one another.
Bar-close confirmation controls signal stability in real time.
Parabolic SAR is the only source of the initial event.
EMA, ADX, and the additional filters do not generate independent signals. Their role is to approve or reject a new crossover between price and PSAR.
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🧩 WHY THESE COMPONENTS ARE COMBINED
Each component has a separate function within one unified validation process.
🔹 PARABOLIC SAR — EVENT TIMING
An UP candidate appears when the closing price crosses above the PSAR value.
A DOWN candidate appears when the closing price crosses below the PSAR value.
An UP or DOWN label cannot appear without a new crossover between price and PSAR.
PSAR determines the timing of the event, but on its own it may change direction frequently during sideways or irregular market conditions.
🔹 EMA — DIRECTIONAL CONTEXT
EMA is used as a broader directional filter.
An UP event is allowed only when the closing price is above the EMA.
A DOWN event is allowed only when the closing price is below the EMA.
EMA does not generate a signal independently. It checks whether the new PSAR reversal agrees with the current directional context.
🔹 ADX — MOVEMENT STRENGTH
ADX evaluates the strength of directional movement without identifying whether that movement is bullish or bearish.
A PSAR event is accepted only when the ADX value is equal to or greater than the minimum level selected by the user.
The same length is used for the Directional Index calculation and ADX smoothing.
The purpose of this filter is to reject PSAR events that occur when measured directional strength is below the selected threshold.
🔹 CANDLE CONFIRMATION
When candle confirmation is enabled:
• UP requires a bullish candle, where the closing price is above the opening price.
• DOWN requires a bearish candle, where the closing price is below the opening price.
This is an additional check performed directly on the bar where the event occurs.
Candle confirmation is disabled by default.
🔹 COOLDOWN — SIGNAL FREQUENCY CONTROL
Cooldown prevents new accepted signals from appearing for a selected number of complete bars after the previous accepted signal.
A signal rejected by the cooldown condition is not postponed or restored later.
The next signal opportunity requires a new crossover between price and PSAR.
🔹 BAR-CLOSE CONFIRMATION
By default, UP and DOWN signals are confirmed only after the current bar closes.
This reduces the possibility of a label appearing while the bar is forming and disappearing before the bar closes.
When bar-close confirmation is disabled, UP or DOWN conditions may change during the formation of the current bar.
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📈 UP SIGNAL LOGIC
An UP label appears only when all enabled conditions are satisfied on the same bar:
• The closing price crosses above Parabolic SAR.
• The closing price is above the EMA when the EMA filter is enabled.
• ADX is equal to or greater than the selected minimum when the ADX filter is enabled.
• The candle is bullish when candle confirmation is enabled.
• The cooldown requirement is satisfied.
• The bar is closed when bar-close confirmation is enabled.
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📉 DOWN SIGNAL LOGIC
A DOWN label appears only when all enabled conditions are satisfied on the same bar:
• The closing price crosses below Parabolic SAR.
• The closing price is below the EMA when the EMA filter is enabled.
• ADX is equal to or greater than the selected minimum when the ADX filter is enabled.
• The candle is bearish when candle confirmation is enabled.
• The cooldown requirement is satisfied.
• The bar is closed when bar-close confirmation is enabled.
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⚙️ EVENT-BASED ARCHITECTURE
All enabled filters must approve the event directly on the bar where price crosses PSAR.
For example, when an UP crossover occurs while ADX is below the selected minimum, the signal is rejected.
If ADX rises above the threshold on a later bar, the script does not generate a delayed UP signal. A new crossover between price and PSAR is required before another signal can be evaluated.
The indicator does not maintain a pending signal after a rejected reversal.
Each PSAR event is evaluated only at the moment it occurs.
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💎 ORIGINALITY AND PRACTICAL PURPOSE
Parabolic SAR, EMA, and ADX are established technical analysis concepts.
The originality of PSAR Trend Filter is not based on claiming that the standard formulas behind these indicators are new.
The distinction lies in how the components are organized and how they work together within one event-based validation architecture.
The components are not treated as several equal or independent signals:
• PSAR is the only event trigger.
• EMA checks directional alignment.
• ADX checks movement strength.
• Candle confirmation checks agreement on the signal bar.
• Cooldown controls the spacing between accepted events.
• Bar-close confirmation determines whether the signal must wait for the bar to finish.
This structure creates a clear distinction between:
• the underlying Parabolic SAR state;
• a new PSAR reversal;
• a filtered UP or DOWN event.
The chart continuously displays the current PSAR state, while UP and DOWN labels and their corresponding alerts appear only after the complete enabled validation sequence is satisfied.
The signal architecture and implementation were developed specifically for this script.
No code from other published PulseWire Community scripts was reused.
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👁 HOW TO READ THE CHART
🟢 Green PSAR dots
The closing price is above the current Parabolic SAR value.
🔴 Red PSAR dots
The closing price is below the current Parabolic SAR value.
🟢 Green fill
Represents the current underlying upward PSAR state.
🔴 Red fill
Represents the current underlying downward PSAR state.
〰 Gray line
The EMA used by the directional filter.
⬆ UP label
An upward PSAR crossover approved by all enabled filters.
⬇ DOWN label
A downward PSAR crossover approved by all enabled filters.
Important:
The PSAR dots and colored fill represent the underlying PSAR state.
They do not mean that the EMA, ADX, candle confirmation, cooldown, and bar-close conditions have all been satisfied.
Only the UP and DOWN labels represent filtered events.
UP and DOWN describe the direction of an approved event. They are not automatic instructions to open or close a position.
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🛠 DEFAULT SETTINGS
Parabolic SAR
• PSAR Start: 0.02
• PSAR Increment: 0.02
• PSAR Maximum: 0.20
Signal filters
• Confirm Signals On Bar Close: enabled
• EMA Trend Filter: enabled
• EMA Length: 50
• ADX Strength Filter: enabled
• ADX Length: 14
• Minimum ADX: 15
• Candle Confirmation: disabled
• Cooldown Between Signals: enabled
• Cooldown Bars: 1
Visual settings
• UP/DOWN labels: enabled
• PSAR trend fill: enabled
• EMA display: enabled
If the selected PSAR Maximum value is lower than PSAR Start, the script uses PSAR Start as the effective maximum value.
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🧭 HOW TO USE THE INDICATOR
Start with the default settings and compare the UP and DOWN labels with ordinary changes in the color and position of the PSAR dots.
This makes it possible to observe which PSAR reversals were rejected by the additional filters.
EMA Length
• A higher EMA length creates a slower directional filter.
• A lower EMA length makes the filter more responsive to recent price changes.
Minimum ADX
• A higher threshold requires stronger measured directional movement.
• A lower threshold allows more PSAR reversal events to pass the strength filter.
Candle Confirmation
Enable this setting when the direction of the signal candle should agree with the direction of the event.
Cooldown Bars
Increase this value to create more distance between accepted signals.
Disabling individual filters
Each filter can be disabled separately to evaluate its influence on the number and location of signals.
Settings should be evaluated for the selected symbol, timeframe, and market conditions.
A single parameter combination should not be considered universal for every market.
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🔔 ALERTS
The script provides two separate alert conditions:
• PSAR Filtered UP
• PSAR Filtered DOWN
To keep alert behavior consistent with confirmed labels on the chart:
• keep Confirm Signals On Bar Close enabled;
• select Once Per Bar Close when creating the alert.
The alert message includes:
• event direction;
• exchange;
• symbol;
• timeframe;
• closing price.
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⏳ REALTIME BEHAVIOR
When bar-close confirmation is enabled, UP and DOWN labels are accepted only after the current bar has closed.
While the realtime bar is still forming, the following values may continue to update:
• the current PSAR value;
• the EMA value;
• the color of the PSAR dots;
• the colored PSAR fill.
These elements use current-bar market data.
When Confirm Signals On Bar Close is disabled, an UP or DOWN condition may appear and disappear before the current bar closes.
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🛡 FUTURE DATA AND REPAINTING CONSIDERATIONS
The script does not use:
• future data;
• higher-timeframe lookahead;
• negative plot offsets;
• backward placement of signals on earlier bars;
• retrospective relocation of UP or DOWN labels.
When bar-close confirmation is enabled, filtered UP and DOWN events are accepted only on confirmed bars.
For more stable realtime behavior, keep Confirm Signals On Bar Close enabled and use Once Per Bar Close alerts.
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⚠️ LIMITATIONS
• Parabolic SAR is sensitive to changes in direction and may reverse frequently during sideways or irregular price movement.
• EMA and ADX are calculated from historical and current price data and therefore introduce lag.
• ADX measures strength but does not determine bullish or bearish direction.
• A signal rejected by one of the filters is not postponed to a later bar.
• Every new signal requires a new crossover between price and PSAR.
• The indicator does not calculate position size.
• The indicator does not determine acceptable risk.
• The indicator does not set stop-loss or take-profit levels.
• The indicator does not estimate expected returns.
• This script is an indicator, not an automated backtesting strategy.
• Results may vary depending on the symbol, timeframe, volatility, and market regime.
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⚖️ IMPORTANT
PSAR Trend Filter is an analytical tool.
It does not guarantee:
• the accuracy of every signal;
• profitability;
• the absence of losing trades;
• any specific future market result.
The user remains responsible for signal interpretation, risk management, and all trading decisions. Indicator
Time Price Opportunity Gravity Grid [ALT_analyst]Time Price Opportunity Gravity Grid
■ Description
This script executes a strictly quantified market structure analysis by integrating Time Price Opportunity (TPO) profiling, dynamic Value Area (70%) boundaries, POC Migration matrices, and Z-Score volatility anomaly detection.
By overriding standard OHLC data limitations via lower-timeframe data injection (request.security_lower_tf), it constructs an uncompromisingly high-resolution price-density profile. Trend definitions and signal thresholds are stripped of subjective bias, executing purely on the spatial shift of accepted value and mathematical volatility expansion.
■ Core Architecture & Mechanical Edge
The algorithm mandates the simultaneous confluence of three independent mathematical variables. This relentless confluence acts as a strict mechanical filter, systematically rejecting ranging environments and isolating only mathematically significant structural shifts.
1. Value Area Calculation (70% Auction Density)
Mechanics:
Computes the absolute TPO block count per session, isolating the exact price range containing 70% of execution density (approximating 1 standard deviation).
Expansion originates strictly from the POC (maximum density node) and iteratively absorbs adjacent price rows based on relative volume weight, capturing the absolute center of the market auction.
Visualization:
Deployed as modern, semi-transparent filled boxes (Value Area Box) to eliminate visual noise, obsoleting legacy dashed-line renderings.
Application:
Price action within the Value Area is mathematically defined as balance.
A confirmed close outside this boundary signals structural imbalance. To mathematically neutralize low-volume fakeouts, breakouts are strictly invalidated unless simultaneously confirmed by both POC Migration and Volatility expansion.
2. POC Migration (Structural Trend)
Mechanics:
Evaluates the spatial shift of accepted value across consecutive sessions using a discrete step-function.
// Bullish Migration (+1):
Current_POC > Previous_POC and Current_VAL > Previous_VAL
// Bearish Migration (-1):
Current_POC < Previous_POC and Current_VAH < Previous_VAH
Application:
By demanding the simultaneous directional shift of both the peak density (POC) and the boundary floor/ceiling (VAL/VAH), the script verifies that the core market consensus has definitively relocated.
3. Volatility Z-Score (Anomaly Detection)
Mechanics & Equation:
Z_Score = (ATR(14) - SMA(ATR(14), 100)) / StDev(ATR(14), 100)
Calculation Rationale:
To measure exactly how many standard deviations the current volatility deviates from its 100-period baseline, standardizing volatility spikes across all asset classes regardless of absolute price.
Expected Output Example:
If current ATR is 1.5, 100-period mean is 1.0, and standard deviation is 0.2, the Z-Score outputs 2.5 (+2.5 standard deviations above the mean).
Application:
A Z-Score strictly > 2.0 flags a statistical outlier (top ~2.2% of historical occurrences). The algorithm enforces this threshold to ensure breakouts are driven by aggressive, statistically significant kinetic expansion, rejecting market noise.
4. Gaussian Liquidity Grid Distortion
Mechanics & Equation:
Pull_Factor = Math.exp(-(Distance_Y^2) / (2 * Pull_Radius^2))
Calculation Rationale:
Utilizes a Gaussian decay function to translate historical price congestion into a gravitational pull on the background grid, mathematically quantifying market memory.
Expected Output Example:
If price is 100 ticks away with a radius of 200, the function outputs a multiplier of ~0.882, pulling the visual grid line 88.2% closer to the price center.
Application:
Distorted grid zones visually map historical liquidity pools (high probability of deceleration/mean reversion). Smooth grids indicate liquidity vacuums for rapid price discovery.
■ Signal Execution Rules
Signals execute ONLY upon total alignment:
Long Entry: Close strictly > active POC, Structural Trend = +1, Z-Score > 2.0.
Short Entry: Close strictly < active POC, Structural Trend = -1, Z-Score > 2.0.
Risk Management: Invalidations must mathematically reside outside the active Value Area (below VAL for longs, above VAH for shorts).
Disclaimer
This script provides objective mathematical analysis for educational purposes. It does not constitute financial advice.
Indicator
Auto Target Pro◆➤OVERVIEW
Auto Target Pro v6 is a professional PulseWire indicator designed to help traders manage entries, stop loss, and profit targets with a structured approach.
The indicator combines trend analysis, volatility measurement, and risk-based target calculation to provide a complete trade management system directly on the chart.
Auto Target Pro helps traders visualize potential entry points, risk levels, and multiple profit targets without manually calculating every level.
◆➤FEATURES
• Automatic BUY and SELL signals
• Dynamic Entry price calculation
• ATR-based Stop Loss system
• Automatic TP1, TP2, and TP3 levels
• Risk-to-Reward based target projection
• Real-time trade management
• Visual Entry, Stop Loss, and Target lines
• Target hit detection system
• Professional dashboard display
• Alert support for signals and targets
• Works on Forex, Crypto, Stocks, Indices, and Commodities
• Designed for scalping, intraday, and swing trading
◆➤HOW IT WORKS
Auto Target Pro uses a combination of trend structure and volatility analysis.
The system identifies market direction using trend calculations and detects potential trading opportunities.
After a signal appears:
◆➤BUY Setup:
Entry price is calculated automatically
Stop Loss is placed using market volatility
TP1, TP2, and TP3 are calculated based on risk distance
◆➤SELL Setup:
Entry price is calculated automatically
Stop Loss is adjusted according to bearish conditions
Multiple profit targets are displayed automatically
The target levels are dynamic and adapt according to current market conditions.
◆➤HOW TO USE
Add Auto Target Pro v6 to your PulseWire chart.
Select your preferred timeframe according to your trading style:
Scalping: 1m, 5m, 15m
Intraday: 30m, 1H
Swing Trading: 4H, Daily
Wait for BUY or SELL confirmation.
Use the displayed levels:
Entry = Trade activation area
SL = Risk protection level
TP1 = First profit target
TP2 = Second profit target
TP3 = Final target area
Always combine signals with proper risk management and your own market analysis.
◆➤IMPORTANT NOTE
Auto Target Pro is a technical analysis tool created to assist traders in decision-making. No indicator can guarantee future market results. Always use proper risk management before entering any trade. Indicator
Auto Target Pro◆➤OVERVIEW
Auto Target Pro v6 is a professional PulseWire indicator designed to help traders manage entries, stop loss, and profit targets with a structured approach.
The indicator combines trend analysis, volatility measurement, and risk-based target calculation to provide a complete trade management system directly on the chart.
Auto Target Pro helps traders visualize potential entry points, risk levels, and multiple profit targets without manually calculating every level.
◆➤FEATURES
• Automatic BUY and SELL signals
• Dynamic Entry price calculation
• ATR-based Stop Loss system
• Automatic TP1, TP2, and TP3 levels
• Risk-to-Reward based target projection
• Real-time trade management
• Visual Entry, Stop Loss, and Target lines
• Target hit detection system
• Professional dashboard display
• Alert support for signals and targets
• Works on Forex, Crypto, Stocks, Indices, and Commodities
• Designed for scalping, intraday, and swing trading
◆➤HOW IT WORKS
Auto Target Pro uses a combination of trend structure and volatility analysis.
The system identifies market direction using trend calculations and detects potential trading opportunities.
After a signal appears:
◆➤BUY Setup:
Entry price is calculated automatically
Stop Loss is placed using market volatility
TP1, TP2, and TP3 are calculated based on risk distance
◆➤SELL Setup:
Entry price is calculated automatically
Stop Loss is adjusted according to bearish conditions
Multiple profit targets are displayed automatically
The target levels are dynamic and adapt according to current market conditions.
◆➤HOW TO USE
Add Auto Target Pro v6 to your PulseWire chart.
Select your preferred timeframe according to your trading style:
Scalping: 1m, 5m, 15m
Intraday: 30m, 1H
Swing Trading: 4H, Daily
Wait for BUY or SELL confirmation.
Use the displayed levels:
Entry = Trade activation area
SL = Risk protection level
TP1 = First profit target
TP2 = Second profit target
TP3 = Final target area
Always combine signals with proper risk management and your own market analysis.
◆➤IMPORTANT NOTE
Auto Target Pro is a technical analysis tool created to assist traders in decision-making. No indicator can guarantee future market results. Always use proper risk management before entering any trade. Indicator
