Mini SMC Screener I EonMetrics Mini SMC Screener
Mini SMC Screener watches up to 5 symbols at once and answers a question no single-chart indicator can: WHERE is something happening right now. Instead of flipping through charts, you read one small table: market structure direction and the freshest Fair Value Gap event for every symbol on your list.
HOW IT WORKS
The script scans each symbol on the timeframe you choose (empty = chart timeframe) and reports two independent readings per symbol.
🔵Structure — a strict MSS/BOS engine. Swing points are confirmed pivots (a candle with N higher/lower candles on both sides). A close above the last confirmed swing high in a downtrend is a Market Structure Shift to bullish; a close below the protected swing low in an uptrend shifts structure bearish. Between shifts, breaks of structure in trend direction keep updating the protected level. The column shows the current state: ▲ Bull or ▼ Bear.
🔵FVG — a three-candle imbalance tracker. A Fair Value Gap forms when the first and third candle of a three-candle sequence do not overlap (the low of the newest candle stays above the high of the candle two bars back, or the mirror for bearish). The gap between them is unfilled territory. The engine registers a gap only when its height clears an ATR-based minimum size, keeps it active until price trades through its far edge (a full fill), and reports the freshest of two events:
- New — a qualifying gap just formed (displacement is happening now)
- Retest — price traded back INTO a still-open gap (the return many traders wait for)
Each event ages out of the table after a configurable number of bars, so the column only ever shows fresh information — an FVG event from 200 bars ago is not a setup and is not displayed.
Why the two are combined in one script: they answer the two halves of the same scanning question. Structure tells you the directional context of a symbol; the FVG event tells you that something tradeable is happening there right now. One without the other is either context with no trigger, or a trigger with no context — a scanner needs both on one row to be useful.
KEY FEATURES
- 5 symbol slots, each with its own on/off toggle — defaults cover crypto, forex, gold and an index; replace them with your own watchlist
- Structure column: live Bullish / Bearish read from confirmed swing pivots (non-repainting state machine — the state changes only on a confirmed close through a level)
- FVG column: New / Retest events with age in bars ("now", "3b", …); the cell background lights up when the event happened on the current bar
- ATR size filter — noise-sized gaps never make it into the table
- Freshness windows for FVG events, so stale signals disappear on their own
- Alerts: per-symbol alert() messages (structure flips, new FVG, FVG retest) plus two named conditions — "Structure flip (any symbol)" and "FVG event (any symbol)"
- Scan timeframe input — scan a higher timeframe than your chart; a warning shows if you accidentally scan below the chart timeframe (unreliable by design on PulseWire)
- Table position and text size inputs
HOW TO USE
1. Add the indicator to any chart and open Settings → Symbols. Replace the default tickers with the instruments you actually follow.
2. Pick a Scan Timeframe — the chart timeframe or higher. A common setup: chart on M15, scan on M15 or H1.
3. Read rows left to right: Structure gives you the direction bias, FVG tells you whether a fresh imbalance or a retest is in play on that symbol.
4. The combination many traders look for: structure and a fresh FVG event pointing the SAME way — e.g. ▲ Bull structure plus a bullish FVG retest.
5. Set an alert with "Any alert() function call" to get the detailed per-symbol messages without watching the table.
SETTINGS
- Scan: scan timeframe
- Symbols: 5 slots with toggles
- Structure: pivot strength (candles each side to confirm a swing)
- Fair Value Gaps: minimum gap size (× ATR), event freshness (bars)
- Alerts: master toggle
- Table: position, text size, bullish/bearish colors
A note on how the scan works under the hood: each symbol is evaluated in its own sandboxed context via request.security — the full engine state (structure machine, active gap list) is kept separately per symbol, and signals commit on bar close. Disabled slots still consume their data request (a PulseWire compile-time requirement); the toggle hides the row.
This tool reports structure state and imbalance events. It does not generate buy/sell signals, targets or stop levels — what you do with a reading is your decision. It is not financial advice; always do your own analysis and manage your own risk.
Part of the EonMetrics toolset.
Indicator
Liq Sweep + CHoCH + OB InstantLIQ SWEEP + CHoCH + OB INSTANT
This script is a three-stage liquidity-trap detector that resolves a full smart-money sequence into a single confirmed entry, with no retest wait. It is not a collection of separate SMC tools stacked on one chart. It is one state machine in which each stage must validate before the next can arm, and only the completed sequence produces a signal.
WHY THE SEQUENCE MATTERS
Most liquidity-based scripts fire on a single event: a sweep, or a change of character, or an order-block tap. Each of those in isolation is noisy. Sweeps occur constantly without follow-through. CHoCH prints in chop with no displacement behind it. Order blocks form everywhere.
The idea here is that none of those events is treated as a signal on its own. They are treated as preconditions that must occur in order, within a defined window, all supporting the same directional thesis. The script formalizes the trap as a sequence and refuses to act until that sequence completes. A sweep with no CHoCH is discarded. A CHoCH with no identifiable order block produces nothing. Only the full chain fires.
HOW THE COMPONENTS INTEGRATE
STAGE 1 — LIQUIDITY SWEEP
Pivot-based swing highs and lows are tracked in rolling arrays. A sweep registers only when price wicks through a tracked level and closes back inside it, marking that resting liquidity above a high or below a low has been taken rather than genuinely broken. Each sweep opens a candidate setup and records the opposite-side structure level that will be watched next.
STAGE 2 — CHANGE OF CHARACTER
A candidate is promoted only if price then closes through that opposite structure level within a user-set lookback window. This is the directional confirmation: after buy-side liquidity is swept, a close below the prior swing low confirms reversal intent, and the mirror applies for the bullish case. Candidates that never produce a CHoCH inside the window expire and are discarded, so a stale sweep from fifty bars ago cannot fire later.
STAGE 3 — ORDER BLOCK AS ENTRY
On a confirmed CHoCH, the script scans back for the last opposing candle before the displacement move and marks that zone as the order block, along with its 50 percent midline. Because the sweep and the CHoCH have already validated the setup, order-block identification is treated as the entry trigger itself rather than waiting for a retest that may never come. The stop is placed beyond the swept level, since that level is what the setup is predicated on. The target is derived either from a configurable risk-to-reward multiple of the stop distance, or from an optional fixed-percentage mode.
The three stages are not independent indicators sharing a chart. Stage 2 cannot exist without Stage 1's swept level. Stage 3's scan window is anchored to Stage 2's displacement bar. The stop is defined by Stage 1's level. Removing any stage collapses the logic entirely, which is why they are integrated into one state machine rather than published as separate tools.
WHAT YOU SEE
Confirmed setups draw the swept-liquidity line, the accumulation zone spanning sweep to CHoCH, the highlighted CHoCH candle, and the order-block zone with its midline. Entries print a labeled trade box showing entry, stop, target and risk-to-reward. Exits are marked with the realized result as take-profit, stop, or time-based close. A status dashboard summarizes current stage, direction, swept level, active order block, setup counts, exit mode, position state, and trade management values.
SETTINGS
Structure — swing lookback for pivot detection, wick-sweep requirement, CHoCH lookback window.
Order Block — scan depth, minimum rejection-wick ratio, midline toggle, maximum zone age.
Trade Management — risk-to-reward ratio, stop buffer beyond the swept level, maximum bars in trade, cooldown between signals, RSI filter bounds, label toggles.
Exit Management — optional percentage-based take-profit and stop mode. Default behavior uses the risk-to-reward derived from the swept level.
Visuals — zone colors, ghost candles, dashboard, per-stage step labels.
HOW TO USE
Apply to a clean chart. Watch the dashboard stage indicator move from scanning, to sweep, to CHoCH as a setup builds. A trade box prints when the order block is identified on a confirmed bar. Tune the swing lookback and order-block scan depth to your instrument and timeframe. The tooltips include suggested starting ranges for futures and crypto. The risk-to-reward ratio controls target distance measured off the swept-level stop.
REFERENCE SETTINGS
The defaults are deliberately neutral. As a concrete starting point, these are the values I run on MNQ:
Swing Lookback 6
CHoCH Lookback 10
OB Scan Bars 50
Enable % Exit Mode: on
TP 0.25%
SL 1.0%
Max Bars in Trade 55
Cooldown Bars 3
These are a starting point for one instrument, not an optimized or recommended configuration, and they are not intended to suggest any particular outcome. Different instruments, timeframes and volatility conditions will call for different values. Treat them as a place to begin your own testing rather than a setting to adopt as-is.
NON-REPAINTING
All structure, sweep, CHoCH and order-block evaluations run on confirmed bar closes. Pivot detection uses right-side confirmation. Signals do not repaint once a bar has closed. Take-profit and stop levels are evaluated intrabar for realistic exit marking, while the entry itself is fixed on the confirmed bar that completes the sequence.
DISCLAIMER
For educational and informational purposes only. This is not financial advice, and nothing here is a guarantee of future results. Markets are uncertain and past behavior does not predict future behavior. Always do your own analysis and use proper risk management.
Indicator
ICT Atlas - Execution ToolkitICT Atlas — Liquidity Execution Toolkit
Use best with #ICTPulse
ICT Atlas is an execution-focused visual toolkit for discretionary ICT-style futures traders. It is designed to organize session liquidity, timed intraday windows, SMT divergence, liquidity sweeps, and post-sweep market structure confirmation in one workflow.
This script is not an automated trading system and does not issue buy or sell signals. Its purpose is to help traders visually follow a sequence of conditions often used in manual execution:
1. Identify session liquidity.
2. Observe whether liquidity is swept.
3. Check for SMT divergence.
4. Wait for market structure confirmation after the sweep.
5. Use the trader’s own entry and risk model.
How it works
The script tracks Asia, London, and New York sessions using the selected timezone. At the end of each session, it records the session high and low, then extends those levels to the right side of the chart. These levels are labeled as AH/AL, LH/LL, and NYH/NYL.
Liquidity sweep detection is based on price interacting with those stored session levels. The user can choose between a simple wick-touch condition or a stricter wick-and-close-back condition. This allows the trader to decide whether a sweep should mean only that price traded through a level, or that price traded through the level and then rejected back inside it.
The SMT module compares the active chart symbol with a user-selected comparison symbol. It uses pivot highs and pivot lows to detect divergence between the two markets. A bearish SMT condition appears when one market makes a higher high while the comparison market does not confirm. A bullish SMT condition appears when one market makes a lower low while the comparison market does not confirm.
The MSS/BOS confirmation module only becomes relevant after a liquidity sweep. After a valid high-side or low-side sweep, the script waits for price to break a recent swing level within the configured expiry window. This is intended to separate simple liquidity touches from situations where structure later confirms a possible shift.
The micro-box module highlights recurring intraday timing windows from :50 to :10 using the selected timezone. During each micro window, the script tracks the high, low, and midpoint of that window, allowing traders to study reactions around specific time-based execution windows.
Main features
* Asia, London, and New York session tracking
* Previous session high and low levels
* AH/AL, LH/LL, and NYH/NYL labels
* Liquidity sweep labels
* Wick-touch or wick-and-close-back sweep modes
* SMT divergence using a comparison symbol
* Post-sweep MSS/BOS confirmation
* ICT-style micro timing boxes from :50 to :10
* Optional alerts for sweeps and structure confirmation
* Adjustable colors, line widths, lookbacks, and object limits
How to use it
ICT Atlas is best used on lower timeframes such as 1-minute, 3-minute, and 5-minute charts.
Suggested workflow:
1. Mark the latest session highs and lows.
2. Watch for a sweep of Asia, London, or New York liquidity.
3. Check whether SMT divergence is present between the chart symbol and the comparison symbol.
4. Wait for MSS/BOS confirmation after the sweep.
5. Apply your own entry model, invalidation, and risk management.
This script is intended for educational and analytical use only. It does not provide financial advice, trade recommendations, or guaranteed outcomes. Futures and financial market trading involves risk.
Indicator
PTHLC Previous Timeframe High, Low, and ClosePTHLC — Previous Timeframe High, Low, and Close
PTHLC is a multi-timeframe market-structure indicator that displays the previous completed candle’s high, low, and close from a user-selected timeframe.
Unlike standard previous-day indicators, PTHLC can be applied to intraday or higher timeframes, making it useful for tracking levels from the previous 15-minute, 1-hour, 4-hour, daily, or other selected candle.
Major Features
Previous Timeframe Levels
The indicator plots:
PTH — Previous Timeframe High
PTL — Previous Timeframe Low
PTC — Previous Timeframe Close
The levels are based on the previous fully completed candle to provide stable, non-repainting reference points.
Automatic Timeframe Adjustment
When the selected reference timeframe is lower than the chart timeframe, the indicator automatically uses the chart timeframe instead of producing an error.
This allows the script to remain active as traders move between chart timeframes.
Confirmed Breach Detection
PTH and PTL are considered breached only after price closes beyond the level.
A close above PTH confirms a high breach.
A close below PTL confirms a low breach.
Breached levels are visually distinguished from active levels.
Bullish and Bearish Retest Logic
After a confirmed breach, PTHLC tracks the first return to the level.
A retest that closes above the level is classified as Retest Bullish.
A retest that closes below the level is classified as Retest Bearish.
The line, label, and table status update to reflect the retest direction.
Directional Previous Close
PTC provides immediate directional context:
Bullish when price is above PTC
Bearish when price is below PTC
Neutral when price is at PTC
PTC logic remains separate from the breach and retest logic used for PTH and PTL.
What Makes PTHLC Unique
Most previous-level indicators only plot static support and resistance lines.
PTHLC adds a complete level-state framework:
Active → Breached → Bullish or Bearish Retest
This helps traders quickly identify whether a previous timeframe level is untouched, broken, successfully held, or rejected after a retest.
PTHLC is designed for traders who use multi-timeframe structure, liquidity levels, breakout confirmation, support-and-resistance flips, and retest-based directional bias.
This indicator is intended as a market-analysis tool and does not provide guaranteed trade signals. Indicator
Quant Confluence Engine [JOAT]Quant Confluence Engine
Scores several independent market factors into one weighted composite, so signals fire on agreement across dimensions rather than on any single trigger.
What it is
Single-factor signals are fragile: a momentum cross, a moving-average flip or a volume spike each fails often on its own. This engine measures several independent factors, normalises them to a common scale, and blends them into one bipolar confluence score. A signal is produced only when enough factors line up, and the transparency of the score lets you see exactly why. It is an original scoring framework, not a bundle of overlaid classic indicators.
How it works
• The factors — the engine evaluates a set of complementary dimensions, each capturing a different aspect of the tape: trend alignment, momentum, volatility regime, volume behaviour, price structure and stretch relative to a mean. Each factor is computed with a standard, well-understood method and then scaled so it contributes fairly.
• Normalisation — every factor is converted to a bounded contribution, so no single input can dominate the composite purely because of its raw magnitude.
• Composite score — the contributions are combined into one signed 0-centred score. Positive means the factors lean bullish, negative bearish, and the magnitude expresses how strong the agreement is.
• State-machine signals — a Buy fires when the score crosses into sufficient bullish agreement from a non-bullish state; a Sell is the mirror. Because a signal requires a genuine state change, the engine will not re-fire the same direction bar after bar — signals are self-spacing by construction.
Trade levels
Each signal draws a red risk box to the ATR stop and a green reward box to the third target, with inner dividers and right-edge labels for entry, stop and each take-profit at your R multiples.
The dashboard
An adjustable factor-grid panel shows each factor's current lean (up or down) alongside a bipolar composite-score headline, the active signal, a conviction reading, and a live first-target-before-stop tally from closed bars only. The grid makes it obvious which factors are driving or vetoing a setup.
How to use it
• Works on any asset and timeframe; the factors adapt to the data.
• Read the grid before acting — a signal backed by broad agreement differs from one carried by a single strong factor.
• Raise the agreement requirement for fewer, higher-conviction signals, or lower it for more frequent ones.
Settings
Per-factor lengths and weights, the agreement threshold, ATR risk multiple and target R multiples, plus visual and dashboard controls.
Originality and usefulness
The value is the framework itself: a normalised, weighted multi-factor score with a transparent per-factor readout and a state-machine trigger that prevents signal spam. It is designed so a trader can inspect the reasoning, not just accept a label — which is precisely what a confluence approach should offer.
Notes and limitations
• Confluence reduces some false signals but does not remove them; correlated factors can all be wrong together in unusual conditions.
• Weighting is a design choice — different weights suit different markets, so treat the defaults as a starting point.
• The tally reflects only past bars on the current chart and is not a prediction.
• Educational and analytical tool, not financial advice.
— made with passion by officialjackofalltrades
Indicator
PDHLC Previous Day High, Low, and Close## PDHLC — Previous Day High, Low, and Close
PDHLC is a customizable market-reference indicator that displays the previous trading day’s high, low, and close.
It was designed primarily for futures traders, but the user-defined trading-day start time allows it to be adapted to different instruments, sessions, and trading methodologies.
The indicator tracks three key reference levels:
* **PDH — Previous Day High**
* **PDL — Previous Day Low**
* **PDC — Previous Day Close**
## Key Features
### Custom Trading-Day Start Time
Users can define exactly when a new trading day begins using Eastern Time.
The default setting is:
* **6:00 PM ET**
* **18:00 using the 24-hour clock**
This matches the standard futures-session rollover used by many CME futures markets.
The start hour and minute can be changed independently, allowing the indicator to support:
* Different futures sessions
* Regular trading hours
* Overnight sessions
* Custom trading plans
* Non-futures instruments
The new trading day begins on the first chart bar at or after the selected start time.
### Previous Day High and Low
PDHLC calculates and displays the completed prior trading day’s:
* Highest traded price
* Lowest traded price
* Closing price
Each line begins at the opening bar of the current user-defined trading day.
### Confirmed PDH and PDL Breaches
PDH and PDL are not considered breached merely because price trades through them intrabar.
A confirmed breach requires:
* A candle close above PDH
* A candle close below PDL
Once a breach is confirmed, the corresponding line automatically changes to a dashed style for the remainder of the trading day.
This creates an immediate visual distinction between:
* Active, unbreached liquidity levels
* Levels that have already been closed through
The breach status resets when the next user-defined trading day begins.
### Directional PDC Coloring
The Previous Day Close dynamically changes color based on the current price relationship to PDC:
* **Bullish:** Price is above PDC
* **Bearish:** Price is below PDC
* **Neutral:** Price is equal to PDC
Bullish, bearish, and neutral PDC colors can be configured independently.
The original PDC directional logic remains separate from the PDH and PDL breach logic.
### Customizable Labels
Users can control:
* Label visibility
* Label size
* Label offset from the current bar
Available label sizes include:
* Small
* Normal
* Large
### Customizable Information Table
The built-in information table displays the current value and status of each level:
* **PDH:** Active or Breached
* **PDL:** Active or Breached
* **PDC:** Bullish, Bearish, or Neutral
## Why PDHLC Is Unique
Many previous-day indicators rely on fixed calendar days, automatically extend lines across the chart, or treat any temporary move beyond a level as a confirmed breakout.
PDHLC is different because it combines:
* A fully customizable trading-day start time
* A futures-compatible default of 6:00 PM ET
* Candle-close confirmation for PDH and PDL breaches
* Automatic dashed styling after confirmed breaches
* Separate directional logic for PDC
* Lines that begin at the current trading-day open
* Lines that end exactly at their labels
* Adjustable label distance from current price
* Fully customizable table size and location
This makes PDHLC useful for traders who incorporate previous-day liquidity, session structure, breakout confirmation, directional bias, and daily reference levels into their analysis.
## Intended Use
PDHLC can be used to identify:
* Previous-day liquidity targets
* Potential support and resistance
* Confirmed high or low breaks
* Current price location relative to the prior close
* Daily directional context
* Untouched versus breached prior-day levels
This indicator does not generate trade-entry signals and does not guarantee future results. It is intended as a market-structure, session-reference, and discretionary trading-analysis tool.
Indicator
RS Rating (Relative Strength) - Clean Table UIThis indicator calculates the Relative Strength (RS) Rating of a stock compared to the S&P 500 (SPY) and displays it as a clean, simple numerical value in a customizable table on your chart.
Unlike many complex swing data indicators that clutter your screen with moving averages, background colors, and multiple data points, this script is specifically designed for minimalist traders, day traders, and scalpers who only need to see the core RS Rating score at a single glance.
How It Works:
Core Calculation: It uses the standard weighted formula for 1-year performance (40% for the most recent quarter, and 20% for each of the previous three quarters) compared against the S&P 500 benchmark.
Percentile Ranking (1-99): Using market environment seed data, the raw score is converted into a true 1 to 99 percentile ranking. For example, an RS Rating of 85 means the stock is currently outperforming 85% of the overall market.
Color-Coded Signals: The numerical value automatically changes color based on the stock's momentum:
Green (>= 80): Strong market leader.
Red (<= 40): Weak laggard.
Custom/White: Neutral performance.
Features:
Zero Chart Clutter: No lines or shapes plotted over your candles. Just a single, elegant table.
Fully Customizable: You can easily change the table's position (Top/Bottom, Left/Right) and text size (Normal, Large, Huge) directly from the indicator settings to fit your exact workspace layout.
(Credits to the original open-source community and Fred6724 for the percentile mapping seed function utilized to power this clean UI version). Indicator
Institutional VWAP Bands [JOAT]Institutional VWAP Bands
An anchored VWAP with standard-deviation bands that classifies price as cheap, fair or expensive and offers two complementary playbooks: mean reversion and trend pullback.
What it is
VWAP is the benchmark institutions measure their own fills against — the market's running notion of fair value. Standard-deviation bands around it map where price is stretched relative to that benchmark. This indicator runs an anchored VWAP with three band pairs and turns them into a structured, non-repainting decision tool rather than a plain VWAP line.
How it works
• Anchored VWAP — volume-weighted average price accumulated from a chosen anchor (session, week or month) with a controlled reset, so the reference restarts cleanly each period.
• Sigma bands — three pairs of bands at one, two and three standard deviations of price around VWAP, computed from the same volume-weighted variance. These define the stretch zones.
• Value state — every bar is classified with a z-score into cheap, fair or expensive relative to VWAP. This drives the colour system and the dashboard.
• Mean-reversion fades — when price is stretched to the outer bands against the higher-timeframe trend and then reclaims back inside, a fade toward VWAP is signalled. The reclaim requirement is deliberate, so you are not blindly catching a falling knife.
• Trend-pullback entries — in a trend, a retracement to VWAP or the first band that holds is a discount entry in the trend direction. Both playbooks are labelled by type, and Buy/Sell are mutually exclusive with a minimum-gap control.
Trade levels
Each signal draws a red risk box to the ATR stop and a green reward box to the third target, with inner dividers and right-edge labels for entry, stop and each take-profit. For reversion signals the first target is clamped toward VWAP so it always sits on the profit side of entry.
The dashboard
An adjustable value-ladder panel shows the value state, the z-score, the trend bias, the active playbook and signal, a conviction estimate, and a live first-target-before-stop tally from closed bars only.
How to use it
• Choose the anchor that matches your style: session for intraday, week or month for swing context.
• Fade the outer bands only against the trend and with a reclaim; take pullbacks to VWAP with the trend.
• Works across assets and timeframes, though the anchor should suit the timeframe you trade.
Settings
Anchor period, VWAP source, three band multipliers, trend filter length, reversion trigger, ATR risk multiple and target R multiples, plus visual and dashboard controls.
Originality and usefulness
VWAP and deviation bands are standard building blocks; the contribution here is the explicit two-playbook logic (reclaim-based reversion versus trend pullback), the value-state classification that ties colour, dashboard and signals together, and the reversion target clamp — combined into one coherent, non-repainting framework and fully explained.
Notes and limitations
• VWAP is most meaningful on instruments with reliable volume; on symbols without real volume the bands lose accuracy, which is stated here honestly.
• Reversion trades against a strong trend carry inherent risk even with the reclaim filter.
• The tally reflects only past bars on the current chart and is not a forecast.
• Educational and analytical tool, not financial advice.
— made with passion by officialjackofalltrades
Indicator
2nd Day Stock Scanner2ND DAY STOCK SCANNER
A Pine Screener-ready indicator that flags stocks having an "in play" session — the kind of session that sets up a classic 2nd Day Play. Run it across a watchlist or the broader market to build a daily list of names worth watching for continuation the next session.
THE 2ND DAY PLAY CONCEPT
A stock becomes "in play" when a catalyst — earnings, guidance, an FDA decision, an upgrade/downgrade, a contract win, a short squeeze, breaking news — pulls in enough participants that the stock trades with unusual size and unusual range for a full session. That session (Day 1) prints levels — the high and the low — that carry real weight, because so many market participants transacted around them.
On the next session (Day 2), those Day 1 levels often become the reference points for continuation: a break above Day 1's high can trigger fresh buying from traders who missed the move or are adding to winners; a break below Day 1's low can do the same on the short side. This is the "2nd Day Play" — trading the follow-through, using yesterday's range as the map.
This indicator's job is to find Day 1: the session that qualifies as genuinely "in play," so you know which names to build a Day 2 plan around.
WHAT IT FLAGS
A session qualifies as a match when ALL of the following are true on that bar (daily timeframe):
1. Outsized move — the close is up or down at least a configurable % (default 3%) versus the prior day's close.
2. Strong directional close — the close falls within the top or bottom 20% (configurable) of the day's own high-low range. An up day closing near its high, or a down day closing near its low, signals conviction rather than a fade.
3. Elevated relative volume (RVOL) — volume exceeds a configurable % of the average volume over the prior N days (default: 100% of a 50-day average, i.e. above-normal turnover).
4. Volatility expansion — the day's true range exceeds the recent Average True Range (default 14-period), meaning the stock moved more than its own normal volatility would suggest.
By default the script also requires the move direction, close location, and volume/volatility expansion to all point the same way (an up move that closes strong = bullish match; a down move that closes weak = bearish match). This directional-alignment requirement can be turned off in settings if you want looser matching.
READING THE OUTPUT
- Scan Match (0/1): the combined signal; this is the one to filter on for a general watchlist.
- Bullish Match / Bearish Match (0/1): directional versions, useful for building separate long and short watchlists.
- Pct Change, Range Position %, RVOL %, Range minus ATR: the underlying metrics, useful for sorting and sanity-checking why a name matched.
- On a chart: a green/red background tint, a triangle marker, and a small "2D up / 2D down" label mark matching sessions; an info table in the corner shows live values for the current bar.
- Alerts: "Bullish 2nd Day Scan," "Bearish 2nd Day Scan," and "Any 2nd Day Scan Match" fire on chart instances of the script (Pine Screener itself does not push alerts — see setup notes below).
SETTINGS
- Min |% change| — default 3% — minimum move vs. prior close
- Top/Bottom % of range — default 20% — how close to the high/low the close must be
- Min RVOL % — default 100% — volume vs. average volume threshold
- Avg volume lookback — default 50 bars — window for the volume average
- ATR length — default 14 — window for the volatility baseline
- Require direction match — default on — whether move direction must match close location
WHEN IT'S MOST VALUABLE
This indicator is a filter, not a trade signal. It's most useful run at or after the close (or scanned intraday for names already meeting the criteria in real time) to surface candidates that just had a genuine catalyst day — the kind of session worth carrying onto tomorrow's watchlist. It's less useful, and can produce false positives, on thinly traded or low-priced names where volume and range statistics are naturally erratic, or around known binary events (earnings, FDA dates) where a gap can satisfy the range/volume criteria without real intraday conviction. Always confirm a match against the news/catalyst driving the move, and build your own Day 2 execution plan (breakout, pullback, opening-range tactics) around the flagged levels — the scanner finds the candidates, it doesn't time the entry.
SETTING UP THE PINE SCREENER
1. In PulseWire, open Pine Screener (left toolbar, or Products > Screeners > Pine Screener).
2. Pick your universe from the Watchlist dropdown — a saved watchlist, or one of PulseWire's broader market lists.
3. Load this script from the script-select dropdown next to the watchlist selector.
4. Click the script's name/settings icon to open its Settings dialog inside the Screener. This is a separate instance from any chart — inputs you change on a chart do not carry over, and vice versa. Set your thresholds here and click Apply.
5. Use the + button to add the columns you want visible: Scan Match, Bullish Match, Bearish Match, Pct Change, Range Position %, RVOL %, Range minus ATR.
6. Click on the Scan Match column pill and set a filter, e.g. "Greater than 0.5" (since the output is 0 or 1, this isolates matches). Use Bullish Match / Bearish Match instead if you want a directional-only list.
7. Click Scan. Sort by any column to review results, and use the unfiltered metric columns to see why each name matched.
8. For live, per-symbol alerts during the session, add the script to that symbol's chart individually and create an alert from one of its three alert conditions — the Screener is a point-in-time scan, not a persistent alert engine.
DISCLAIMER
For informational and educational purposes only — not financial advice. This scanner identifies stocks meeting a set of historical price/volume conditions; it does not predict future performance. Always do your own research and manage your own risk. Indicator
XG Boost Lite: Reversals | GainzAlgoWe are excited to release this indicator, which uses our brand-new Arbor library for gradient boosting! This engine brings true, high-performance machine learning natively into Pine Script v6, bypassing the need for external webhooks or API layers. By utilizing iterative, tree-based models on your chart, XGBoost Lite: Reversals adapts directly to the historical structure of the asset you are trading, identifying precise pivot exhaustion points with high statistical conviction.
🧠 Understanding Gradient Boosting & XGBoost
To trade successfully with machine learning, it helps to understand exactly what is happening beneath the hood of the asset's data.The Core TheoryGradient Boosting is a powerful machine learning technique used for regression and classification tasks. Unlike deep learning networks that process data through abstract node layers, gradient boosting relies on an ensemble of simple decision trees, often called "weak learners" or "stumps".
The training process works sequentially:
The Initial Guess: The model makes a basic baseline prediction.Calculating the Error (Residuals): It checks where its prediction missed the actual historical market outcome.
Correcting the Mistakes: A new decision tree is built specifically to predict those errors (the gradient of the loss function).
Iterative Learning: The model repeats this process for several rounds. Each new tree focuses entirely on correcting the flaws of the previous ones, scaling its adjustments by a Learning Rate to maintain stability.
What Makes XGBoost Special?
XGBoost (Extreme Gradient Boosting) optimizes this framework for speed, scalability, and performance. It applies strict regularization techniques to minimize overfitting, ensuring the model doesn't just "memorize" past market noise but instead learns genuine structural behaviors.By evaluating multiple market features simultaneously, it estimates the probability of a specific event occurring.
🛠️ About the Indicator
XGBoost Lite: Reversals is a machine learning-driven technical indicator designed to catch exhaustion and reversal setups.
The Machine Learning Pipeline
Dual Engines: The script fits four separate models simultaneously—a classifier and a regressor for Longs, and a classifier and a regressor for Shorts.
Dynamic Retraining: Rather than remaining static, the model automatically flushes its memory and retrains its internal mathematical weights every n bars to adapt to evolving market regimes.
Strict Non-Repainting Execution: A critical upgrade in this framework forces features and calculations to compute and lock strictly on bar close. Signals, dynamic entry points, and risk metrics are only printed once the triggering candle is finalized, ensuring what you see on the historical chart matches real-time execution perfectly.
The Core Features Evaluated
The model processes a combination of multi-dimensional market inputs to generate a unified prediction:
RSI (14): Evaluates traditional momentum expansion and contraction.
Relative Volume (20): Evaluates institutional engagement by dividing current volume against its 20-period SMA.
Z-Score (20): Measures how far the current price has deviated from its statistical mean.
ADX (14): Gauges the overall strength of the macro trend to prevent trading directly into a runaway freight train.
📊 How to Use the Indicator
The Real-Time Dashboard: When applied to your chart, the indicator renders an advanced Feature Importance Scatter Plot in the right-hand margin.
Distribution Scatter: The horizontal bars plot the historical density of successful signals. Darker, tightly packed nodes represent highly concentrated, high-probability clusters discovered by the algorithm.
Visualizing Signals
When a market pivot is detected (e.g., a structural swing low or high) and the classifier hits your target confirmation probability, a signal arrow prints on the chart displaying the mathematical certainty ($e.g., 74.2\%$) of the reversal.
⚙️ The Settings Inputs
The indicator’s interface is neatly categorized into three primary functional groups:
⚙️ XGBoost Model Settings:
Training Lookback (Bars): (Default: 250) The historical window used to feed the training arrays. Max capped at 300 to remain computational within Pine Script limits.
Retrain Frequency: (Default: 50) Determines how often (in bars) the model recalibrates its trees. Boosting Rounds: (Default: 20) The number of sequential trees (stumps) trained per model. Higher numbers capture deeper complexities but risk overfitting.
Learning Rate: (Default: 0.3) The step size applied to each boosting round to prevent the model from learning too quickly. Min Probability for Signal: (Default: 0.65) The minimum confidence threshold ($65\%$) required from the classification model to trigger an active trade.
ADX Length / Minimum Filter: (Default: 14 / 20.0) Prevents counter-trend signals if the prevailing macro trend is too strong.
🛡️ Target & Risk Management
SL Wick Buffer ×ATR: (Default: 0.25) Sets how much breathing room is given below a swing low wick or above a swing high wick, scaled by ATR.
TP1 ×Risk (R-multiple): (Default: 1.0) Targets a clean 1:1 Risk-to-Reward ratio for the initial profit take.
TP3 Min ×Risk (Floor): (Default: 2.0) The minimum target floor for the machine learning regression objective.
Break-Even After TP1: (Default: True) Automatically moves the Stop Loss to the exact entry price the moment TP1 is captured, eliminating risk on the remainder of the trade.
📈 How to Trade the Indicator
Trading with the machine learning model requires blending quantitative probabilities with standard structural execution:
The Entry: Wait for a Bullish (Neon Purple) or Bearish (Neon Pink) arrow to finalize on a closed candle. The percentage printed indicates the model's confidence.
Placing Risk: The system automatically draws a solid line anchoring your Stop Loss tightly to the local structural wick pivot, applying an ATR buffer to account for minor noise.
Scaling Targets:
Target 1 (TP1): Landed at a symmetrical 1:1 distance. When hit, the indicator dynamically updates your Stop Loss to your entry line, locking in a "scratch-or-better" runner.
Target 2 (TP2): Represents the mathematical midpoint between your baseline risk and the macro ML objective.
Target 3 (TP3): Driven directly by the XGBoost Regression Model. The regressor estimates the potential mathematical expansion based on current market features—if volatility is expanding, TP3 will automatically stretch further to ride major trend changes.
📊 Deep Dive: The Feature Importance & Scatter Plot Dashboard
The dashboard rendered on the right side of the chart acts as the "brain" of the indicator. It provides real-time transparency into exactly how the machine learning model is weighing data and evaluating current market conditions.
Feature Importance Bars (The Relative Weights): The horizontal progress bars display the mathematical percentage weight allocated to each of the four indicators processed during the model's most recent training cycle. These values change dynamically every time the model triggers a retraining block (default: every 50 bars) as it adapts to shifting market conditions. For example, if the market moves into a heavy trending phase, you will notice metrics like the ADX or Z-Score capture a higher percentage of the model's attention, whereas the RSI will frequently become the dominant driver if the asset is range-bound.
The Holographic Scatter Plot (Historical Feature Density): Layered over the progress bars is an advanced distribution scatter plot consisting of individual circular glyphs (○, ◉, ●) that plot a rolling record of the last 30 historical signal points. The horizontal position of each dot shows exactly where the feature value landed relative to its historical extremes (0 on the far left, 1 on the far right). The script introduces a subtle vertical "jitter" to separate these dots so you can visually identify high-density clusters where successful reversal setups frequently occur, while the shifting style of the glyphs flags tightly packed clusters of solid nodes (●) to indicate highly concentrated mathematical sweet spots discovered by the XGBoost classifier.
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GMS Session Rays (Sydney/Asia/London/NY)A lightweight Pine v6 indicator that plots the previous completed session’s High and Low for the four major sessions—Sydney, Asia, London, New York—so you always see the most actionable structure levels without chart clutter. Lines auto-update at the end of each session and extend right as horizontal rays. Labels are clean, stack automatically to avoid overlap, and can be placed on the left or right side of the chart.
What it shows
Previous session High/Low for each enabled session (not the current live session).
Right-extended rays at those prices, updated when the session closes.
Optional labels per session (e.g., “sydney high”, “london low”), with auto-stacking to prevent overlaps.
Customization
Per-session toggles: show/hide each session; show/hide labels per session.
Style controls: color, width, and line style (Solid/Dotted/Dashed) per session.
Label controls: global on/off, Left/Right placement, bars offset, Y-offset (in ticks), size (Tiny/Small/Normal), auto-stacking with adjustable step.
Session windows: editable HHMM-HHMM for Sydney/Asia/London/NY.
Timezone: set a single indicator timezone (default America/New_York).
Only Today mode: clears older rays daily to keep charts minimal.
How it works (under the hood)
Tracks High/Low only while a session is active; when it ends, those values are frozen and plotted as the previous session levels. Indicator
Liquidity Radar Engine [MarkitTick]💡 The financial markets operate on a continuous search for liquidity, moving dynamically from areas of consolidation to zones of unmitigated resting orders. This technical evaluation tool is engineered to objectively map these critical liquidity thresholds and provide a comprehensive framework for identifying high-probability market reversals and continuation phases. By tracking the exact interaction between historical pivot structures and real-time volume dynamics, it offers a highly systemic, algorithmic approach to charting price action.
✨ Originality and Utility
● A Synergistic Approach to Market Dynamics
Standard technical tools typically evaluate a single dimension of market data, such as momentum or trend direction, which frequently leads to fragmented analysis and false signals. This script stands out by synthesizing pure price structure, volume delta approximation, and multi-timeframe consensus into a unified visual environment. It removes the guesswork from order block and liquidity trading by mathematically defining structural shifts.
• Justification of the Integrated Logic
This tool is a deliberate fusion of price action concepts and mathematical volume filtering. Relying strictly on a breakout of a previous day's high or low can be highly susceptible to false moves and liquidity traps. By incorporating a relative volume (RVOL) filter and a proprietary candle-based delta estimation, the tool validates structural shifts with quantifiable market participation. Additionally, the inclusion of momentum divergence protocols ensures that price action is aligned with the anticipated structural pivot, filtering out low-probability setups in exhausted trends.
🔬 Methodology and Concepts
● Core Analytical Framework
The script operates by mapping significant price extremes across varying temporal horizons and evaluating the market's precise reaction when these zones are breached.
• Liquidity Sweep Detection
The algorithm constantly monitors the Highs and Lows of the Previous Day, Week, and Month. When current price action breaches one of these levels but fails to sustain the breakout—closing back inside the defined range—a sweep zone is generated. This defines a failed auction mechanism where stops may have been triggered without genuine directional follow-through from larger market participants.
• Equal Highs and Lows (EQH/EQL)
To identify resting liquidity pools, the script evaluates historical pivot points within an adjustable lookback window. Using the Average True Range (ATR) as a dynamic tolerance threshold, it mathematically defines whether two separate swing points are functionally "equal," marking them as magnetic targets for future price action.
• Structural Shifts and Displacement
Once a sweep occurs, the engine scans for a localized Change in State of Delivery (CISD). A valid shift requires displacement, which is measured by comparing the breakout candle's body size against a moving average of recent candle bodies, or by the immediate formation of a Fair Value Gap (FVG).
• Multi-Factor Validation
Signals are not generated strictly on price structure. They must pass a rigorous matrix of internal filters:
Relative Volume (RVOL): Requires the sweep or shift to occur with volume significantly exceeding the recent moving average.
Cumulative Volume Delta (CVD): Approximates buying and selling pressure within the candle spread to confirm directional momentum.
Trend Alignment: Evaluates the current price against a long-term Exponential Moving Average (EMA).
Volatility Squeeze Avoidance: Uses ATR ratios to actively block signals in exceptionally low-volatility environments.
Currency Correlation: Compares the traded pair against a reference index to ensure macroeconomic alignment.
News Blackout: Blocks all signals during user-defined, high-impact news windows to protect against erratic slippage.
🎨 Visual Guide
● Chart Elements and Topography
The visual interface is meticulously designed to present complex, multi-dimensional data without obfuscating the primary candlestick action.
• Historical Liquidity Levels
PDH/PDL Lines: Displayed as subtle, translucent lines indicating the Previous Day's High and Low.
PWH/PWL Lines: Denoting the Previous Week's extremes in distinct, moderately visible hues.
PMH/PML Lines: Marking the Previous Month's extremes for macro higher-timeframe context.
Equilibrium Line: A distinct midline drawn between the daily extremes to gauge intraday premium and discount pricing.
• Structural Zones and Markers
Sweep Zones: Highlighted boxes marking the exact area of a failed breakout. Buy-side sweeps appear in a muted green-toned box, while sell-side sweeps are marked in a red-toned box. These zones feature active aging, gently fading as time progresses.
FVG Clouds: Displayed as gold or yellow background areas denoting supply/demand imbalances.
EQH/EQL Markers: Small textual annotations above or below the price, bounded by a semi-transparent box, indicating concentrated liquidity pools.
• Execution and Management Visuals
Signal Labels: Distinct text markers indicating validated Buy or Sell conditions upon bar close.
Position Boxes: When a signal is active, a structured box appears showing the Entry level (dashed neutral line), Stop Loss (dashed red line), and up to three Take Profit targets (dashed teal lines).
Heatmap Candles: The main chart candles are dynamically colored based on the dominant daily bias or RSI momentum.
• The Multi-Timeframe (MTF) Dashboard
A tabular data panel positioned on the chart displays the trend and liquidity status across three distinct timeframes. It also features a comprehensive statistics section monitoring the active trading session, the current volatility regime, the count of unfilled fair value gaps, and the dynamic risk-to-reward ratio of any open simulated positions.
📖 How to Use
● Interpreting the Data
The primary workflow involves observing the direct interaction between price velocity and the mapped structural zones.
• Executing an Analysis
Wait for a visual Sweep Zone to form, indicating that a significant historical level has been tested and rejected by the market.
Observe the Signal Labels. A signal is only printed if the internal confluence engine—validating volume, delta, and structural displacement—has fully approved the setup.
If the FVG entry model is active, wait for price to retrace into the highlighted Fair Value Gap cloud before considering the setup valid for engagement.
• Trade Management
Utilize the plotted Position Boxes to evaluate the mathematical risk profile. The entry, stop loss, and targets are drawn directly on the chart for immediate visual feedback.
Monitor the MTF Dashboard to ensure the lower timeframe execution signal is not fighting a dominant higher timeframe trend.
If Dynamic Trade Management is enabled, closely observe the Stop Loss line as it automatically trails price based on the selected ATR, Swing, or Chandelier mathematical logic.
⚙️ Inputs and Settings
● Configuration Options
The script is heavily modular, allowing for extensive adjustment of its internal validation logic.
• General and Display Limits
Toggle the visibility of specific liquidity levels (Daily, Weekly, Monthly) and limit the maximum number of historical zones, FVG clouds, or signal boxes retained on the chart to maintain a highly optimized workspace.
• Validation Filters
Volume Validation: Adjust the Moving Average length and the RVOL threshold multiplier to define what constitutes a genuine volume climax.
Delta Filter: Toggle the requirement for estimated volume delta to perfectly align with the signal direction.
Divergence Source: Choose whether the script requires RSI, MACD, or a combination of both to display divergence before validating a reversal.
ADX Threshold: Define the strict minimum trend strength required for continuation signals.
• Target and Management Settings
Risk to Reward (R:R) Inputs: Define the exact mathematical multiples for Target 1, Target 2, and Target 3.
Position Sizing: Input an account balance and risk percentage to have the engine calculate the exact unit size for the plotted setup.
Trailing Logic: Select between None, ATR-based, Swing-based, or Chandelier-based trailing stops, complete with user-defined multiplier adjustments and partial profit scaling.
• Dashboard and Visual Preferences
Modify the specific timeframes monitored by the MTF panel, alter its position, and heavily customize the color palettes for all sweep zones, lines, heatmaps, and interface text.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Theoretical Foundations
The architecture of this script is grounded in several well-documented financial theories, primarily focusing on Auction Market Theory and the statistical modeling of price volatility distributions.
• Auction Market Theory and Liquidity
The core premise of the sweep detection logic rests securely on the concept of order matching and liquidity cascades. Markets move constantly to facilitate trade, frequently gravitating toward areas with a high density of resting stop orders, such as historical highs and lows. When these areas are breached but fail to attract aggressive participation, the auction process is deemed to have failed. This script mathematically quantifies these failed auctions by tracking the spatial relationship between the breakout wick and the closing price relative to the historical pivot.
• Statistical Variance and Normalization
The tool heavily utilizes the Average True Range (ATR) as a core normalization factor. Financial time series exhibit continuous heteroskedasticity, meaning volatility varies over time. Hardcoding a fixed point-value for concepts like "Equal Highs" or "Trailing Stops" is mathematically flawed. By utilizing ATR ratios, the algorithm rapidly adapts its spatial thresholds to the current standard deviation of price movement, ensuring highly consistent behavior across varying market regimes and asset classes.
• Momentum Divergence and Rate of Change
The inclusion of oscillators like the Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) serves to measure the first and second derivatives of price—specifically velocity and acceleration. By actively requiring a divergence between price extremes and momentum extremes, the script effectively filters for environments where the kinetic energy of the prevailing trend is decaying, thereby increasing the statistical probability of a mean-reverting event or structural reversal.
• Volume Delta Approximation
While granular tick data is technically required for an exact volume delta calculation, the script employs a highly robust approximation algorithm that distributes volume proportionally across the candle's spread. This provides a quantifiable metric of localized supply and demand imbalances, adhering strictly to the Wyckoffian principle of Effort versus Result, ensuring that price moves are backed by actual transactional weight.
⚠️ 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
Elaris Market Energy [Professional]Elaris Market Energy
Overview
Elaris Market Energy is a multi-factor oscillator designed to evaluate the strength, direction, participation, and sustainability of market movement.
Rather than relying on a single momentum calculation, the indicator combines several independent market characteristics into one normalized energy score. The goal is to help traders distinguish between weak price movement, developing participation, strong directional expansion, compression, and potential exhaustion.
The Market Energy score is displayed in a separate oscillator panel and generally ranges from -100 to +100.
* Positive values represent bullish market energy.
* Negative values represent bearish market energy.
* Values near zero represent neutral conditions, weak participation, or market compression.
This indicator is intended to support market analysis and confirmation. It is not presented as a complete trading system and does not guarantee future price movement.
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Core Market Energy Model
The final Market Energy score is calculated from six configurable components.
Price Impulse
Measures directional price displacement relative to current market volatility.
This helps distinguish meaningful movement from ordinary price fluctuations.
Candle Conviction
Evaluates the structure of the current candle using:
* Candle body size
* Closing position inside the candle range
* Upper and lower wick balance
* Bullish or bearish candle direction
A strong directional candle generally contributes more energy than an indecisive candle.
Volume Participation
Compares current volume with its recent average and evaluates whether market participation supports the current directional move.
On symbols where volume data is unavailable or limited, the volume component may provide less information.
Range Expansion
Measures whether the current true range is expanding relative to recent market activity.
Range expansion can help identify periods where volatility and directional participation are increasing together.
Trend Alignment
Evaluates:
* Price position relative to an internal trend average
* Direction and slope of the trend average
* Alignment between current movement and broader market direction
This component helps reduce the influence of momentum that is moving against the prevailing trend structure.
Momentum Efficiency
Combines directional momentum with movement efficiency.
Movement efficiency compares the net price displacement with the total distance traveled. Cleaner directional movement generally produces a stronger reading than unstable or highly overlapping price action.
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Directional Movement Confirmation
The indicator also uses Directional Movement Index information.
The relationship between positive and negative directional movement helps confirm whether bullish or bearish pressure is dominant.
ADX is used as a supporting measurement of trend strength. It does not independently determine the Market Energy score and is applied as a controlled confirmation component.
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Market Regimes
The indicator classifies market conditions into several practical regimes.
Compression
Market Energy remains close to zero, suggesting limited directional participation or reduced momentum.
Compression can occur during consolidation, low volatility, or periods of market indecision.
Bullish or Bearish Energy
Directional participation is developing, but the movement has not yet reached the strong-energy threshold.
Strong Bullish or Bearish Energy
Multiple components are aligned and directional participation has increased.
These conditions may support continuation analysis when confirmed by price structure.
Extreme Energy
The oscillator has reached an unusually strong directional reading.
Extreme energy can represent:
* Strong continuation
* Rapid volatility expansion
* Late-stage momentum
* A condition that may eventually transition into exhaustion
An extreme reading should not automatically be interpreted as a reversal signal.
Fading Energy
Directional energy remains elevated but is beginning to weaken.
Fading energy may indicate reduced participation, consolidation, or potential exhaustion. Price confirmation remains important.
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Signal Types
Bullish Energy Entry
A bullish signal may appear when:
* Market Energy crosses above the selected entry threshold
* Energy is above its signal line
* Energy acceleration is positive
* Enabled trend and directional filters are satisfied
* Optional volume and candle-quality filters are satisfied
Bearish Energy Entry
A bearish signal uses the opposite conditions:
* Market Energy crosses below the negative entry threshold
* Energy is below its signal line
* Energy acceleration is negative
* Enabled bearish filters are satisfied
Compression Release
Compression-release markers identify a transition from low-energy conditions into directional expansion.
These signals are intended to highlight developing volatility and participation after a compressed market phase.
Energy Exhaustion
Exhaustion markers identify situations where:
* Energy recently reached an extreme level
* The energy score begins to decline
* Energy acceleration turns against the previous direction
* Price begins showing an opposing reaction
Exhaustion markers are warnings of weakening momentum. They do not confirm a complete trend reversal on their own.
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Visual Elements
Energy Histogram
The histogram displays both direction and intensity.
* Bullish columns represent positive energy.
* Bearish columns represent negative energy.
* Stronger opacity represents increasing directional intensity.
* Faded columns indicate weakening energy.
Energy Line
The main line shows the smoothed composite Market Energy score.
Signal Line
The signal line provides a slower reference for identifying changes in short-term energy direction.
Energy Cloud
The cloud between the Energy line and Signal line provides a quick visual representation of bullish or bearish energy alignment.
Regime Background
Optional background shading highlights:
* Strong bullish conditions
* Strong bearish conditions
* Market compression
Dashboard
The optional dashboard summarizes:
* Current Market Energy score
* Current market regime
* Energy acceleration
* Relative volume
* ADX
* Price impulse
* Candle conviction
* Volume pressure
* Range expansion
* Trend alignment
* Momentum efficiency
* Signal confirmation mode
The dashboard is intended to provide a quick overview without requiring the trader to interpret each internal calculation separately.
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Calculation Profiles
Fast
Uses shorter internal calculation lengths.
This profile reacts more quickly but may also produce more frequent changes and additional noise.
It may be suitable for lower-timeframe analysis when combined with strict filters.
Balanced
Provides a middle ground between responsiveness and stability.
This is the default profile and is suitable as a general starting point.
Conservative
Uses longer calculation lengths.
This profile produces slower and generally more stable readings, which may be useful on higher timeframes or when fewer signals are preferred.
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Suggested Usage
The indicator can be used for several types of market analysis.
Trend Confirmation
Bullish price structure combined with positive and increasing Market Energy may support bullish continuation analysis.
Bearish price structure combined with negative and decreasing Market Energy may support bearish continuation analysis.
Breakout Confirmation
A breakout accompanied by:
* Range expansion
* Increased relative volume
* Strong impulse
* Rising Market Energy
may have greater participation than a breakout occurring during weak or compressed energy.
Pullback Analysis
During a broader trend, temporary energy weakness followed by renewed directional acceleration may help identify continuation conditions.
Compression Monitoring
Low absolute Market Energy can help identify markets that are consolidating or losing directional participation.
A later compression release may highlight the start of renewed expansion.
Exhaustion Monitoring
Extreme energy followed by weakening acceleration may help traders identify when a mature move is losing participation.
This should be combined with price structure, support and resistance, liquidity levels, or other confirmation methods.
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Recommended Starting Settings
For lower timeframes, traders may consider:
* Fast or Balanced profile
* Higher entry threshold
* Volume filter enabled
* Candle-quality filter enabled
* Candle-close confirmation enabled
For medium timeframes, the Balanced profile and default settings provide a practical starting point.
For higher timeframes, the Conservative profile may provide smoother regime identification and fewer short-term fluctuations.
Settings should be adjusted based on the symbol, timeframe, liquidity, and trading approach.
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Alerts
The script includes alert conditions for:
* Bullish Energy Entry
* Bearish Energy Entry
* Bullish Compression Release
* Bearish Compression Release
* Bullish Energy Exhaustion
* Bearish Energy Exhaustion
* Strong Bullish Regime
* Strong Bearish Regime
* Energy Compression
For stable alerts, enabling candle-close confirmation and selecting “Once Per Bar Close” when creating the PulseWire alert is recommended.
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Repainting Information
Elaris Market Energy does not use future data, lookahead logic, or future-confirmed pivot calculations.
The indicator does not repaint historical closed-bar signals when candle-close confirmation is enabled.
The live Market Energy value may change while the current candle is still forming because price, volume, candle range, and volatility are still changing.
When “Confirm Signals On Candle Close” is enabled, signals are only confirmed after the candle closes.
When this setting is disabled, signals may appear during an open candle and may disappear before that candle closes.
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Important Notes
This indicator is a technical analysis tool and should not be interpreted as financial advice.
Market Energy measures current and historical market conditions. It does not predict future results with certainty.
Signal performance can vary significantly across:
* Symbols
* Asset classes
* Timeframes
* Volatility conditions
* Liquidity environments
* Trending and ranging markets
Traders should use appropriate risk management and independently evaluate all trading decisions.
Indicator
Classic Pattern EngineIs a chart-pattern detection tool built around confirmed swing pivots.
The script identifies selected classic chart-pattern structures and draws them directly on the chart. It is designed as a visual pattern-mapping tool, not as an automated trading system.
What the script detects
Reversal patterns:
- Double Top
- Double Bottom
- Triple Top
- Triple Bottom
- Head and Shoulders
- Inverted Head and Shoulders
Continuation / structure patterns:
- Rectangles
- Ascending Triangle
- Descending Triangle
- Symmetrical Triangle
- Rising Wedge
- Falling Wedge
- Bull Flag
- Bear Flag
- Bullish Pennant
- Bearish Pennant
How it works
The script uses confirmed pivot highs and pivot lows to build a swing structure. It then compares the most recent confirmed swings against geometric conditions such as:
- Similarity of highs or lows
- Pattern height relative to ATR
- Slope of upper and lower boundaries
- Convergence or parallel behavior
- Pattern duration
- Flag or pennant context when applicable
Each detected pattern receives a quality score. This score is based on the geometry of the pattern, such as symmetry, height, similarity of key swing points, slope behavior, and structure fit. The score is intended to help users filter weaker shapes from cleaner structures.
Entry, Stop, and Target levels
The script can display Entry, Stop, and Target reference levels for detected patterns.
These levels are geometric references derived from the detected pattern structure. They are not trade recommendations.
The script can also track the state of the detected setup:
- Pending: the pattern is detected but entry has not been triggered
- Active: entry level has been reached
- Target Hit: price reached the target reference level
- Stop Hit: price reached the stop reference level
- Expired: the setup remained unresolved beyond the selected time window
The Entry label can also show an estimated R:R value based on the distance between Entry, Stop, and Target.
Main settings
Detection:
- Pivot strength
- Equality tolerance in ATR
- Minimum pattern height
- Minimum pattern quality
- Maximum pattern length
Display:
- Show only latest pattern
- Show pattern lines
- Show entry / stop / target levels
- Show R:R in entry label
- Fade inactive levels after result
- Entry / stop / target projection length
- Pattern line width
- Entry / stop / target line width
- Entry / stop / target label size
Colors:
- Pattern colors
- Entry line color
- Stop line color
- Target line color
- Entry text color
- Stop text color
- Target text color
- Resolved / inactive level styling
How to use
Use the indicator as a visual assistant for identifying and reviewing chart-pattern structures.
A detected pattern means the required swing geometry has formed. It does not mean that the pattern will complete successfully or that price will reach the target.
Users can choose to display only the latest pattern for a clean chart, or keep more visual history by changing the display settings.
Repainting note
This script uses confirmed pivot highs and confirmed pivot lows. A pattern can only be detected after the required pivot confirmation bars have passed.
For this reason, pattern drawings may appear on earlier swing points after confirmation. This is a normal confirmation delay caused by pivot-based detection.
The script does not use lookahead. Entry, stop, target, and state labels update only as new bars develop after a pattern has been detected.
Limitations
Chart patterns are geometric interpretations of price structure. Different traders may classify the same structure differently.
The displayed Entry, Stop, Target, and R:R values are reference levels calculated from the pattern geometry. They should not be treated as financial advice, trading instructions, or guaranteed outcomes.
The indicator is intended for chart analysis, education, and visual pattern review. Indicator
Relative Strength (RS) - Mansfield StyleRelative Strength (RS) measures how a symbol performs against a chosen
benchmark. Instead of plotting the raw price ratio — whose scale differs
from one symbol to another and makes comparison difficult — this script
normalizes the ratio (symbol close / benchmark close) against its own
simple moving average over a configurable lookback "Period". The result
is a zero-centered line that reads the same way on any symbol:
- RS above 0 and rising → the asset is outperforming the benchmark
- RS below 0 and falling → the asset is underperforming
- Zero-line crossings → shifts in relative leadership
Only the direction and the position relative to zero matter, not the
absolute value.
█ HOW IT WORKS
1. The script requests the benchmark's close on the selected timeframe.
2. It computes the raw ratio: symbol close / benchmark close.
3. The ratio is divided by its SMA over the "Period" lookback, minus 1 —
expressing how far the current relative strength stands above or
below its recent average.
4. An optional moving average of RS can be displayed as a signal line.
█ INPUTS
- Comparative Symbol: the benchmark (an index such as SPX, a sector
index, or any peer symbol — e.g. compare gold against silver).
- Period (default 50): normalization lookback. Shorter = more reactive,
longer = smoother and slower.
- Show Moving Average / Moving Average Period: optional smoothing line.
- Timeframe: leave empty to use the chart's timeframe, or select a
higher timeframe for multi-timeframe analysis.
█ HOW TO USE
Apply the indicator to any symbol. When RS holds above zero, the asset
is leading its benchmark — favor it for relative-strength strategies
(buy strength). When RS holds below zero, the asset is lagging — avoid
it or rotate out. Zero-line crossovers flag early changes in relative
leadership, and two built-in alerts fire on these crossings.
RS is a relative tool, not a timing tool: an asset can outperform a
falling benchmark while still declining in absolute terms. Combine it
with your own trend or entry criteria.
█ CREDITS
The normalization method follows the Mansfield Relative Strength
concept popularized by Stan Weinstein in "Secrets for Profiting in
Bull and Bear Markets".
█ NOTE ON HIGHER TIMEFRAMES
When a higher timeframe is selected in the Timeframe input, the value
of the current forming bar updates until that bar closes. Historical
values do not repaint. Indicator
Volatility Squeeze Breakout [JOAT]Volatility Squeeze Breakout
Finds volatility compression — when Bollinger Bands contract inside the Keltner Channel — and signals the directional release with a built-in energy gauge.
What it is
Markets alternate between coiling and expanding. This indicator detects the coil using the classic squeeze relationship between two well-known volatility envelopes, quantifies how much energy has built up, and then signals the breakout in the direction momentum actually resolves. It is an original implementation with a charge model and full trade framing, not a bare squeeze dot script.
How it works
• The squeeze — a squeeze is on when the Bollinger Bands (price standard deviation) contract entirely inside the Keltner Channel (ATR-based). This means realised volatility has fallen below its typical range and the market is compressing.
• Charge / energy — while the squeeze persists, the tool tracks how long and how tightly the market has been coiled and expresses it as a 0–100 charge. A longer, tighter coil stores more potential energy for the eventual expansion.
• Momentum direction — a smoothed momentum measure determines which way the coil is leaning, so the breakout is read directionally rather than as a neutral event.
• The release — a Buy fires when the squeeze releases with rising positive momentum; a Sell fires when it releases with falling negative momentum. The release is a discrete event, and a minimum-gap control prevents repeated prints around the same break.
Trade levels
On a signal, a red risk box marks entry to the ATR stop and a green reward box marks entry to the third target, with inner dividers and right-edge labels for entry, stop and each take-profit at your R multiples.
The dashboard
An adjustable energy-gauge panel shows the squeeze state, the charge that had accumulated at the moment of release, the momentum direction, a conviction estimate, the active signal, and a live first-target-before-stop tally from closed bars only.
How to use it
• Works on any asset and timeframe; volatility cycles exist at every scale.
• Watch the charge build during a squeeze, then act on the release in the momentum direction.
• Higher charge readings indicate a longer coil, which some traders treat as a higher-quality setup — but a big coil can still resolve in either direction, so the momentum gate matters.
Settings
Bollinger length and multiplier, Keltner length and ATR multiplier, momentum length, release and charge options, risk multiple and target R multiples, plus visual and dashboard controls.
Originality and usefulness
The squeeze concept is public domain; the value added here is the charge model that turns coil duration and tightness into a readable energy figure, the directional momentum gate on the release, and the integrated non-repainting trade framing — combined and explained so a trader can see exactly why each breakout is flagged.
Notes and limitations
• Squeeze breakouts can fail or fake out; a release does not guarantee follow-through.
• The charge measures compression, not direction — always confirm with the momentum reading and your own context.
• The tally reflects only past bars on the current chart and is not a prediction.
• Educational and analytical tool, not financial advice.
— made with passion by officialjackofalltrades
Indicator
Multiday VWAP by ByblloMultiday VWAP by Bybllo
OVERVIEW
This indicator plots up to 5 independent rolling Volume Weighted Average Price (VWAP) lines, each anchored a different number of calendar days back from the present bar (default: 2, 3, 4, 5, and 6 days back). Unlike a standard session VWAP that resets every day, each line here accumulates price*volume continuously from its own anchor day up to the current bar, giving traders a set of rolling reference levels for recent multi-day price/volume balance.
I built this for my own trading because I couldn't find an existing community script that did exactly this — a set of independent, multi-day rolling VWAP lines in one indicator — so I'm sharing it in case it's useful to others too.
KEY FEATURES
- 5 independently configurable rolling VWAP lines — toggle visibility, set the lookback in calendar days, and pick a color for each line individually.
- Lookback days are entered as calendar days (weekends included), so "6 days back" always lands on the same relative session regardless of where in the week you are.
- Real-price calculation — prices are pulled via request.security() against the plain ticker, so the VWAP values are identical whether your chart is displaying candlesticks, Heikin Ashi, Renko, or any other non-standard chart type. Volume is unaffected by chart type and is used as-is.
- Robust new-day detection — instead of relying on the chart's own bar-by-bar progress to detect a new trading day (which can be unreliable right after the chart first loads), this script requests daily-resolution data directly. Daily data loads much faster than intraday data, so the VWAP anchors are detected reliably even immediately after opening the chart.
HOW TO USE
Open the indicator settings and, for each of the 5 lines, set how many calendar days back you want that VWAP to start accumulating from. Use the lines as dynamic support/resistance or fair-value reference levels, similar to how a session VWAP is used, but for multi-day accumulation periods.
NOTES
- This script requires volume data from your data provider. If no volume is available for the symbol, the VWAP values will not calculate correctly.
- "Rolling Days" counts calendar days, not trading/session days.
Feedback and suggestions are welcome. Indicator
Capitulation Stretch Reversion [Jayadev Rana]OVERVIEW
Capitulation Stretch Reversion is a long-biased, price-action mean-reversion strategy. Its thesis is simple: in an established uptrend, sharp multi-bar pullbacks that stretch price well below its short-term mean tend to snap back. The strategy waits for that stretched, capitulating condition, enters on the first sign of a turn, and exits when price reverts to the mean.
Everything is derived from raw price and range (EMAs of price and Average True Range) - there are no oscillators or external data.
HOW IT WORKS
1. Regime filter. A long EMA (default 200) defines the regime. Long trades are only permitted while price is above it, keeping every entry aligned with the prevailing drift. A symmetric short side exists but is OFF by default (see Direction).
2. Stretch + capitulation. A setup can only arm when price has extended at least a set number of ATRs below a short reversion mean (default 0.5 x ATR from a 5-EMA) AND has printed a run of consecutive lower closes (default 2). This is the "capitulation" filter - it avoids buying shallow noise and waits for a genuine flush.
3. Entry. When the stretched, capitulating condition is met and the current bar closes back up (a reversal bar), a long is taken on the confirmed bar.
4. Exit - three ways. The target is a reversion to the mean: the position is closed once price closes back at or above the reversion EMA. A protective stop sits a wide, volatility-based distance below entry (default 3 x ATR). A time stop closes any trade that has neither hit target nor stop within N bars (default 10).
WHY THE STOP IS WIDE
Mean reversion trades a high hit-rate against an unfavourable reward-to-risk: the target (a snap back to the mean) is near, while the protective stop is deliberately wide so normal wobble does not knock you out. This produces frequent winners but occasional losers that are larger than a typical win. That trade-off is intentional and is shown honestly in the results below - read the LIMITATIONS section carefully.
BACKTEST (defaults, on the loaded history)
Tested on SPY daily with the default inputs and the properties set in the script (10,000 initial capital, 100% of equity per trade, 0.03% commission, 2 ticks slippage). On the sample available in the Strategy Tester this produced roughly a 67% win rate with a profit factor near 1.67, a max drawdown around 10%, and no margin calls, modestly ahead of buy-and-hold over the same window. This is a limited in-sample backtest, not a forward result - your own data window, symbol, fees and fills will differ.
SETTINGS
Regime EMA Length - trend filter that gates entries.
Reversion Mean Length - the EMA used as the snap-back target.
Stretch (ATR from mean) - how far price must extend before a setup arms.
Capitulation Bars - consecutive closes required to confirm exhaustion.
Protective Stop (ATR) and Time Stop (bars) - the exit envelope.
Direction - Trade Longs (on) and Trade Shorts (off by default; counter-trend shorts on up-drifting index ETFs have a much lower hit-rate).
Dashboard - live regime, position, win rate, profit factor and net profit.
LIMITATIONS
Signals are evaluated on bar close, not intraday. The reported win rate is in-sample on a finite history and will not persist unchanged out of sample. Because winners are small and losers wide, a cluster of stopped trades can still produce a meaningful drawdown despite a high win rate - position size accordingly. Percent-of-equity sizing at 100% is for demonstration; use realistic risk-based sizing in practice. Mean reversion underperforms in strong, one-directional trends where price never stretches, and can suffer if a pullback turns into a full regime change. This script is a research and educational tool, not financial advice or a guarantee of future performance.
ORIGINALITY
The contribution is the specific combination: an ATR-normalised "stretch" distance from a fast mean, gated by a consecutive-lower-close capitulation count and a regime filter, with a mean-touch target against a wide ATR stop and a time stop. It is built from first principles on price and range, not a wrapper around a built-in indicator. Strategy
Adaptive Momentum Ribbon [JOAT]Adaptive Momentum Ribbon
An eight-layer moving-average ribbon whose colour is driven by live momentum and whose compression flags the coil before the move.
What it is
A single moving average tells you very little. A ribbon of them, fanned by speed, tells you three things at once: direction (the colour), strength (how wide it fans) and turning points (where it squeezes and flips). This indicator builds that ribbon and adds a momentum core and a compression detector so the ribbon is not just decorative — it gates the signals.
How it works
• The ribbon — eight exponential moving averages from fast to slow, with an optional light second smoothing pass for cleaner turns. When the fast layers sit above the slow layers the stack is bullish, and vice versa.
• Momentum core — a rate-of-change normalised by ATR and then smoothed. This value is mapped onto a colour gradient, so a strong trend glows saturated while a fading one drifts toward neutral. The same value gates entries, so you buy strength rather than every flip.
• Compression detector — the width between the fastest and slowest ribbon lines is ranked as a percentile over a lookback window. A low percentile means the market is coiled; a move out of that coil is the tradable expansion. Coils are highlighted so you can see energy building.
• Flip signals — a Buy prints when the ribbon flips up out of (or just after) a compression with positive momentum; a Sell is the mirror. Because a flip requires the stack to actually reverse, signals are naturally spaced, and a minimum-gap control adds a further safeguard against clustering.
Trade levels
Each signal draws a red risk box to the ATR-based stop and a green reward box to the third target, with inner target lines and right-edge price labels for entry, stop and every take-profit at your chosen R multiples.
The dashboard
An adjustable panel shows trend direction, a block-gradient momentum meter with a signed headline value, the compression state (coiled or expanded), a 0–100 conviction estimate, the current signal, and a live first-target-before-stop tally from closed bars only.
How to use it
• Works on all assets and timeframes; the ribbon adapts to whatever data it is given.
• Use the coil highlight to prepare for a move and the flip-with-momentum signal to time it.
• Require the coil filter for cleaner, fewer signals in choppy markets, or relax it for more responsive trend entries.
Settings
Base length and layer step, source, optional smoothing, momentum length and smoothing, signal momentum gate, compression window and percentile threshold, risk multiple and target R multiples, plus visual and dashboard controls.
Originality and usefulness
The combination is the point: a speed-fanned ribbon, an ATR-normalised momentum gradient that both colours the ribbon and filters signals, and a percentile-ranked compression model that isolates coils. Together they turn a familiar visual into a structured, non-repainting trend-and-expansion tool.
Notes and limitations
• Moving averages lag by nature; the ribbon confirms trend, it does not call exact tops or bottoms.
• In strong one-way trends the compression filter may keep you out of some continuation entries — that is the intended trade-off for fewer false flips.
• The tally reflects only past bars on the current chart and is not a forecast.
• Educational and analytical tool, not financial advice.
— made with passion by officialjackofalltrades
Indicator
AutoFractal MTF Adaptive Projection [Aaron Diaz]TITLE
AutoFractal MTF Adaptive Projection
ENGLISH DESCRIPTION
OVERVIEW
AutoFractal MTF Adaptive Projection searches for historical price structures that resemble a user-defined current structure. The historical search timeframe is independent from the chart timeframe, so a trader can view a daily chart while searching for analogs on 4-hour, 2-hour, daily, or other supported timeframes.
The script is designed as a market-structure comparison and scenario-projection tool. It does not generate buy or sell signals, and its projected path must not be interpreted as a guaranteed forecast.
HOW IT WORKS
1. Historical search range
The user selects a start date, an end date, and a historical source timeframe. The script evaluates candidate structures only inside that selected period.
2. Current target structure
The structure to be matched can be defined using the latest N chart bars or a manual date range on the current chart.
3. Normalized comparison
Historical and current structures are compared using normalized log returns rather than absolute prices. This allows patterns from different price levels and different market regimes to be compared on a proportional basis.
4. Composite similarity score
Each historical candidate receives a score based on:
- Shape and correlation.
- Retracement and Fibonacci behavior.
- Relative amplitude.
- Directional agreement.
Inverse fractals can be enabled when the user wants to compare a bullish structure with an inverted bearish analog, or vice versa.
5. Adaptive projection
After a match is selected, the script uses the historical continuation as an analog scenario. Three adaptation methods are available:
- Percentage: adapts the historical continuation using proportional price movement.
- Fibonacci: adapts the continuation using the relationship between historical and current structural ranges.
- Smart hybrid: combines percentage and Fibonacci adaptation.
The script can automatically adapt both price amplitude and time duration to the current structure.
6. Manual drawing controls
The automatically fitted historical path and future projection can be adjusted independently. Users can change their height, width, horizontal position, and vertical position without changing the historical match itself.
VISUAL OUTPUTS
- Historical match box: marks the selected analog period.
- Fitted historical pattern: overlays the normalized historical structure on the current target.
- Future projection: displays the continuation that followed the historical analog, adapted to the current structure.
- Diagnostics table: shows the search timeframe, matched dates, total score, correlation, retracement score, amplitude scale, time scale, and number of evaluated candidates.
BASIC USE
1. Select the historical search timeframe.
2. Select the historical start and end dates.
3. Define the current target structure.
4. Set the historical pattern length and future projection length.
5. Adjust the minimum score and scoring weights if necessary.
6. Choose Percentage, Fibonacci, or Smart hybrid adaptation.
7. Use the manual drawing controls only after reviewing the automatic fit.
INTERPRETATION
The total score measures similarity under the script's selected criteria. It is not a probability of the projected path occurring. A high score means that the compared structures are mathematically similar according to the configured inputs; it does not mean that market context, liquidity, news, volatility, or order flow are identical.
LIMITATIONS
- Historical analogs can fail and should not be treated as deterministic forecasts.
- Results depend on the selected date range, timeframe, pattern length, score weights, and available historical data.
- Enabling the current unconfirmed bar can cause the selected match and projection to change intrabar.
- Lower-timeframe searches may require more data and processing resources.
- Manual resizing improves visual alignment but does not increase the statistical validity of the match.
- The indicator does not provide entries, exits, stop losses, or position sizing.
OPEN-SOURCE REUSE AND CREDITS
This script is a derivative work based in part on the open-source script "Auto Fractal " originally published by TheUltimator5.
Original author and original portions:
TheUltimator5
Substantial redesign, new logic, and additional code:
Aaron Diaz
The derivative adds independent multi-timeframe searching, date-restricted candidate selection, normalized log-return matching, composite scoring, adaptive percentage/Fibonacci projections, time and amplitude scaling, manual fit controls, and expanded diagnostics.
This publication is open-source and retains attribution to the original author under PulseWire's open-source reuse rules and the Mozilla Public License 2.0.
DISCLAIMER
This indicator is provided for educational and analytical purposes only. It is not financial advice. Historical similarity does not guarantee future similarity. Users remain responsible for their own analysis, risk management, and trading decisions.
DESCRIPCION EN ESPANOL
RESUMEN
AutoFractal MTF Adaptive Projection busca estructuras historicas del precio que se parezcan a una estructura actual definida por el usuario. La temporalidad historica funciona de manera independiente a la temporalidad visible del grafico, por lo que es posible observar un grafico diario mientras se buscan analogias en 4 horas, 2 horas, diario u otras temporalidades compatibles.
El indicador funciona como una herramienta de comparacion estructural y proyeccion de escenarios. No genera senales de compra o venta y la ruta proyectada no debe interpretarse como una prediccion garantizada.
COMO FUNCIONA
1. Rango historico
El usuario selecciona una fecha inicial, una fecha final y la temporalidad historica. El script evalua candidatos solamente dentro de ese periodo.
2. Estructura actual
La estructura que se quiere comparar puede definirse mediante las ultimas N velas del grafico o mediante un rango manual de fechas.
3. Comparacion normalizada
Las estructuras se comparan mediante rendimientos logaritmicos normalizados y no mediante precios absolutos. Esto permite comparar patrones ocurridos en niveles de precio y condiciones de mercado diferentes.
4. Puntuacion compuesta
Cada candidato recibe una puntuacion basada en:
- Forma y correlacion.
- Retrocesos y comportamiento Fibonacci.
- Amplitud relativa.
- Direccion.
Tambien se pueden permitir fractales inversos.
5. Proyeccion adaptativa
El indicador utiliza la continuacion posterior del fractal historico como un escenario analogo. Existen tres metodos:
- Percentage: adapta porcentualmente el movimiento historico.
- Fibonacci: adapta la continuacion de acuerdo con la relacion entre los rangos historico y actual.
- Smart hybrid: combina ambos metodos.
La amplitud y la duracion temporal pueden adaptarse automaticamente a la estructura actual.
6. Ajuste manual
El patron historico ajustado y la proyeccion futura pueden modificarse por separado en altura, ancho y posicion, sin cambiar el fractal historico seleccionado.
INTERPRETACION Y LIMITACIONES
La puntuacion total mide similitud matematica bajo los parametros elegidos; no representa la probabilidad de que la proyeccion se cumpla. Los resultados pueden cambiar al modificar las fechas, la temporalidad, la longitud, los pesos o al incluir una vela sin cerrar. La herramienta no proporciona entradas, salidas, stop loss ni tamano de posicion.
CREDITOS
Este script es una obra derivada basada parcialmente en el script abierto "Auto Fractal ", publicado originalmente por TheUltimator5.
Autor original y partes originales:
TheUltimator5
Rediseno sustancial, nueva logica y codigo adicional:
Aaron Diaz
La publicacion se realiza como codigo abierto, conserva la atribucion correspondiente y mantiene la licencia Mozilla Public License 2.0.
AVISO
Este indicador tiene fines educativos y de analisis. No constituye asesoria financiera. La similitud historica no garantiza que el mercado repita el mismo comportamiento.
Indicator
RSI Levels & Regime Map Heatmap & Cardwell Reversal SignalsOVERVIEW
RSI is the most-used oscillator in the world, and almost nobody trades it — because "RSI is 62" is not something you can place an order against.
This tool moves RSI onto price.
RSI IS INVERTIBLE. Wilder's smoothing can be solved backwards, so for any RSI value there is an EXACT price that would produce it on the next bar. Instead of "RSI is 62", the chart tells you:
Close above 24,278 -> RSI 70 (resistance)
Close below 24,193 -> RSI 30 (support)
Those are real levels. You can put a stop there. You can put a target there.
The script draws the full ladder (30 / 40 / 50 / 60 / 70, all configurable), shades the bands between them into a regime heatmap, measures the Cardwell range regime, marks Cardwell positive and negative reversals with projected targets, shows a multi-timeframe strip — and then does the thing nobody else does: IT FORWARD-TESTS WHETHER ANY OF IT ACTUALLY HOLDS.
This is a research and framing tool. It is NOT a strategy, NOT a signal service, and NOT a validated edge.
THE MATHS (exact, not an approximation)
RSI = 100 - 100/(1 + AG/AL), where AG and AL are the Wilder-smoothed average gain and loss.
For a target T, let RSt = T/(100 - T). Solving the next bar's RSI for the move x required:
an UP move needs x = (n-1) * (RSt*AL - AG)
a DOWN move needs x = (n-1) * (AL - AG/RSt)
Level = close + x. The up form applies when it is non-negative; otherwise the down form does.
This is algebra, not curve fitting. Feed the derived price back through RSI and you get the target value back exactly. The levels are not estimates — they are the precise prices at which the RSI state changes, recomputed every bar. The ladder breathes with volatility on its own: it tightens in quiet markets and widens in violent ones, with no smoothing parameter to tune.
WHY THESE PARTS ARE ONE TOOL (mashup rationale)
1. THE INVERSE-RSI LADDER — the core. Every rung is the exact price at which RSI would print a chosen value.
2. THE HEATMAP — the bands between the rungs, shaded by regime. It shows at a glance how far price must travel to change the RSI story, which is the one question the oscillator pane can never answer.
3. THE CARDWELL REGIME — Andrew Cardwell's observation: in a BULL market RSI holds roughly 40-80, and 40 becomes SUPPORT. In a BEAR market it holds 20-60, and 60 becomes RESISTANCE. So "RSI 40" means the OPPOSITE thing in the two regimes. A tool that ignores this will cheerfully tell you to buy oversold all the way down a trend. The regime here is MEASURED over a lookback, not assumed — and the rung the script watches follows the regime rather than a fixed number.
4. CARDWELL REVERSALS — the signal almost nobody implements. A POSITIVE REVERSAL is RSI making a LOWER low while PRICE makes a HIGHER low. That is the mirror image of classic divergence, and it is a CONTINUATION signal, not a trend reversal. A NEGATIVE REVERSAL is the bearish mirror. A measured target is projected from each.
5. THE HONESTY LAYER — everyone says RSI 30 is support. Nobody checks. Every level test and every Cardwell reversal is logged and graded with a triple barrier against an unconditional control.
Remove any one and you are left with a prettier RSI that still cannot tell you whether RSI works.
THE CALIBRATION — AND THE TWO TRAPS IT TOOK A LIVE TEST TO FIND
Two subtle biases can make a level tool look brilliant while it is doing nothing at all. Both are handled explicitly here, and both are worth understanding whichever tool you use.
TRAP 1 — THE FILL ADVANTAGE.
A support test fires when price dips INTO the rung and closes back ABOVE it. If you enter the event AT THE RUNG (below the close) but compare it with a control entered at the CLOSE, the event gets a strictly better fill on EVERY trade. It then "beats" the control by construction — not because the level held, but because it bought lower. That is a rigged comparison, and it produces a large fake edge.
THE FIX: the level test is treated as a SIGNAL, NOT A FILL. The event and the control enter at the SAME reference price — the bar's close. The only thing that differs is which bars were selected.
TRAP 2 — DIRECTIONAL DRIFT.
Indices drift upward. If level tests are mostly LONG while the control is 50/50, the events win on drift alone and prove nothing.
THE FIX: longs are compared only with control longs, shorts only with control shorts, then blended back using the events' OWN direction mix. The panel also reports the baseline drift directly, so you can see whether the instrument is simply going up.
The control is UNCONDITIONAL: the same trade geometry taken on arbitrary bars, selected by no signal at all. If the levels cannot beat that, they carry no edge.
Results are reported as EXPECTANCY IN R, not hit rate. A Welch t-test decides whether the difference is real or luck — the panel does not say PROVEN unless t > 1.96.
Other conventions, all chosen so the tool cannot flatter itself:
· Both barriers touched on one bar -> the STOP is assumed first.
· Expired trades are marked to market, not booked as losses.
· The level tested is the one computed at the END OF THE PREVIOUS BAR — the price a trader could actually have rested an order at. Using the current bar's own level would be a look-ahead.
· Everything is logged and resolved on confirmed bars only.
HOW TO USE IT
1. READ THE REGIME FIRST. In a bull regime the 40 rung is support and you are hunting long tests of it. In a bear regime the 60 rung is resistance. In neutral, the ladder is simply a map.
2. The rungs are LEVELS. Price closing through one changes the RSI state, by definition.
3. A CARDWELL REVERSAL is a continuation signal with a projected target.
4. READ THE CALIBRATION BEFORE YOU WEIGHT ANY OF IT — and read the baseline-drift row next to it. If level tests show no proven edge on your instrument, the ladder is a MAP, not a probability.
5. Entry, stop and target are drawn at the same price the calibration measures. They are arithmetic, not advice.
DATA / SCOPE
Any symbol, any timeframe. No volume required. The source is an input, so the ladder can be built from close, hlc3, or even another indicator's plot.
NON-REPAINTING
The ladder is computed from confirmed values and projects FORWARD — it is a statement about what the NEXT bar would need to do, so it necessarily moves as new bars arrive. That is a projection, not a repaint, and it is stated plainly rather than hidden.
Level tests are evaluated against the PREVIOUS bar's level, so no future information is used. Reversal pivots use ta.pivot* and confirm a few bars after the fact; once printed, they do not move. The calibration harness logs AND resolves on confirmed bars only, so its statistics cannot inflate intrabar.
HONEST LIMITATIONS — PLEASE READ
The ALGEBRA is exact. THE CLAIMS ABOUT RSI ARE NOT.
"RSI 30 is support" is folklore until it is measured, which is exactly why this script measures it — and why it is built to be able to return "not proven".
Calibration figures are IN-SAMPLE, with no costs or slippage, and use overlapping windows. A proven in-sample edge is NOT a guarantee out-of-sample. Real fills, spreads and commissions will all reduce it.
Cardwell's rules are discretionary in origin and are mechanised here in one particular way. A different mechanisation would give different numbers.
Small samples are unreliable even when they look good. If the edge is near zero, negative, or unstable across timeframes, the honest conclusion is that it is not there.
Nothing here predicts price.
CONCEPT CREDITS
Relative Strength Index and its Wilder smoothing — J. Welles Wilder Jr.
Range rules, positive and negative reversals, and the measured-move projection — Andrew Cardwell.
Triple-barrier forward labelling — Marcos López de Prado.
Welch's t-test — B. L. Welch.
The inverse-RSI level engine, the regime map, the unconditional direction-matched control and the significance testing are the author's own. Clean-room implementation; no third-party code is reused. Not affiliated with, nor endorsed by, any of the above.
DISCLAIMER
Research and educational tool only. NOT financial advice, NOT a recommendation, and NO guarantee of results. Indicators describe past behaviour; they do not predict the future. Entry, stop and target output is arithmetic, not advice. Trading carries a risk of loss. Test out-of-sample and make your own decisions. The author accepts no liability for any use of this script. Indicator
