EZ FVG By PymanderPymander’s EZ Fair Value Gap is an advanced FVG and IFVG tool built to find meaningful imbalance zones while filtering out weaker market noise.
Unlike basic gap finders that simply draw every three-candle imbalance, EZ FVG evaluates gap size, displacement, volume, trend, VWAP, market structure, liquidity sweeps, and market regime. Each zone receives a quality score and classification, helping traders focus on the strongest opportunities.
Key features include:
* Bullish and bearish FVG detection
* Automatic IFVG conversion
* Quality scoring and zone classifications
* First-retest and reaction tracking
* Multi-timeframe FVG detection
* Optional risk-to-reward filtering
* Mitigation, invalidation, and expiration tracking
* Map, Trade, Elite, and Focus modes
* Custom alerts and an active-zone dashboard
EZ FVG is more than a box-drawing indicator—it is a complete zone-quality and reaction engine designed to provide cleaner charts, stronger context, and more selective setups.
Use it alongside proper risk management and a tested trading plan. Best of luck in the markets, traders—trade patiently and protect your capital.
Feedback and reviews are greatly appreciated. Please share your experience and suggestions for future updates.
Best of luck traders! Indicator
Order Flow Footprint [JOAT]ORDER FLOW FOOTPRINT
A full intrabar footprint engine — POC, Value Area, per-row imbalance detection, stacked imbalance zones, delta-flip alerts, POC-shift alerts, and per-bar footprint ladder labels — built to read like a Bookmap-style auction view directly on a PulseWire chart. Uses the native Footprint API when your plan provides it, with a graceful fallback to lower-timeframe tick-rule reconstruction so the script works on every account tier.
Data source — Footprint API or reconstructed
Three modes, behaviourally identical:
Footprint API — uses request.footprint() with a configurable aggregation (Auto / 1m / 3m / 5m / 15m / 30m). Native bid/ask volume per row when your plan supports it.
Reconstructed — uses request.security_lower_tf() to sample intrabar prints, then assigns each tick to buy or sell via the standard tick rule. Configurable LTF (1m / 3m / 5m / 15m / 30m).
Auto — picks Footprint when available, falls back to Reconstructed. The recommended default.
A configurable Profile Rows input (default 24, max 80) sets the vertical resolution — each chart bar's intrabar volume is bucketed into N horizontal price slices and the footprint is built from those buckets.
Imbalance detection (Bookmap diagonal)
The institutional definition of an imbalance is diagonal , not lateral :
A buy row is imbalanced when buy ≥ ratio × sell (this row's buys vs the row below it's sells).
A sell row is imbalanced when sell ≥ ratio × buy (this row's sells vs the row above it's buys).
The ratio is configurable (default 3.0× — the institutional norm). An optional minimum-row-volume filter mutes illiquid wick rows from being counted as imbalances. When N or more same-side imbalances occur inside a single bar, the Burst alert fires.
Stacked imbalance zones (the headline)
Stacked imbalances are the textbook order-flow structural read: N consecutive same-side imbalanced rows on top of each other. They mark where price had to gap through multiple thin levels to print — and they are reliable revisit zones.
Minimum stack count is configurable (default 4 consecutive rows).
Each stack zone is drawn as a box extending right by a configurable bar count.
Optional glow border on stack zones (toggleable).
Maximum active zones is capped (default 8) — older zones shift out FIFO.
POC + Value Area
Per-bar Point of Control (the row with the highest volume), Value Area High and Value Area Low (the 70%-volume centred range) are computed and toggleable. POC is rendered as a dot; VAH / VAL as lines. A configurable POC Shift Threshold (in mintick units) fires the POC Shift alert when the POC jumps more than the threshold bar-over-bar.
Delta flip detection
Per-bar delta (buy − sell) is computed continuously. The delta-flip alert fires only when delta switches sign after at least N consecutive same-sign bars (configurable, default 5). This filters out the micro-fluctuations that pure-sign-flip detectors would noise on.
Per-bar footprint ladder (optional, heavy)
When enabled, inline labels at every row of every recent bar (configurable history depth) show the buy × sell tuple per row — the full Bookmap-style read. This is visually rich but rendering-heavy; keep it off when scrolling long histories or running on low-end hardware.
Visual system
POC dot in accent yellow.
Value Area lines (VAH / VAL).
Imbalance cells highlighted in palette colour per row.
Stacked imbalance zones with optional glow.
Bar colouring by delta sign (toggleable).
Per-bar delta annotations every N bars (configurable).
Per-bar ladder labels (optional).
A locked Iridescent palette (magenta bull / cyan bear / yellow POC accent on pure black) gives the chart a cyberpunk holographic identity that reads as institutional rather than retail.
Dashboard
Monospaced table positionable to any of nine corners. Surfaces:
Source mode in use (Footprint / Reconstructed) with aggregation/LTF.
Current bar's delta value and sign.
POC price and intrabar volume share.
Imbalance count this bar (buy / sell).
Active stack zone count.
Last delta-flip direction with bar-age.
Alerts
Five alert conditions, each independently controllable:
Stacked Imbalance Zone Formed
POC Shift (POC jumped > threshold)
Delta Flip After Run (delta sign change after N+ same-sign bars)
Buy Imbalance Burst (N+ buy imbalances in one bar)
Sell Imbalance Burst (N+ sell imbalances in one bar)
How to read it
Three reads, in order of conviction:
Stacked imbalance zone — the highest-conviction read. Price had to plough through multiple thin levels to print. Future revisits are reliable reactive zones.
Delta flip after run — regime-change signal. When delta has been net-buying for many bars and finally flips net-selling, the auction direction has just rotated.
POC shift through a structural level — value migration. When the POC moves through a previous-day VAH or VAL, value has migrated and the next session's bias often follows.
Suggested settings
Defaults (1m reconstruction LTF, 24 rows, 3.0× imbalance ratio, 4-stack minimum) are tuned for 5m–15m charts on liquid markets. For 1m scalping, drop rows to 16 and stack minimum to 3. For HTF macro (1H+), raise rows to 36 and stack minimum to 5. The 3.0× imbalance ratio is the institutional Bookmap norm; tighten to 2.5× for more frequent imbalance prints.
Originality
The implementation — the Auto/Footprint/Reconstructed source router, the diagonal-Bookmap imbalance detector with row-volume filter, the consecutive-row stack zone builder with glow border, the POC-shift detector with mintick-unit threshold, the run-length-gated delta-flip alert, the per-bar ladder renderer with history depth control, and the dashboard's holographic palette — is JOAT-original. No third-party code reused. The footprint vocabulary (POC, VAH/VAL, imbalance, stacked imbalance, delta) is public-domain auction-theory language; the implementation here is purpose-built for chart-based Pine v6.
Limitations
Reconstructed footprints are an approximation — the tick rule is the accepted public-market inference for assigning intrabar trades to buy/sell but it is not a direct read of bid/ask volume. Footprint API requires a PulseWire Premium or Ultimate plan and is unavailable on some instruments. The per-bar ladder labels are rendering-heavy; keep them off when historical performance matters. Stacked-imbalance zones honour the max active cap (FIFO eviction) and the extension bars cap.
—
-made with passion by jackofalltrades
Indicator
Realtime Non-Repainting EntriesName:
Realtime Non-Repainting Entries
Short title:
RT NP Entries
Summary
Realtime Non-Repainting Entries is a focused entry-only market-structure tool built around a causal transform path and reversal-confirmation logic. It is designed to mark live entry opportunities and preserve confirmed historical entry markers without turning into a full trade-management engine. Its main purpose is to provide a cleaner, more structured entry framework than raw price alone while remaining simpler and more universal than a full operational system.
This script is intentionally narrower than a full transform engine. It does not include exits, split trade management, replay reconstruction, forecast candles, or the broader integrated state logic used in a larger operational engine. Instead, it concentrates on one problem only: producing realtime entry markers from a causal transform path while keeping closed-bar historical signals stable.
How it works
The script first builds a causal transform line from raw price using ATR-scaled adaptive movement. That transform is not meant to be a full hindsight best-fit reconstruction. It is a live-updating, causal path that tries to reduce some raw-price noise while staying responsive enough to expose directional shifts.
From there, the script tracks transform swing state. When transform direction changes, it arms a reversal candidate from the prior swing extreme. That candidate is then evaluated by a small set of confirmation rules, including:
minimum transform movement away from the pivot in ATR terms
optional close-beyond-pivot-close confirmation
optional transform-direction agreement
optional raw-trend agreement
and a cooldown to reduce immediate repeat signals
When those conditions are satisfied on a closed bar, the script prints a confirmed historical entry marker. While the current bar is still forming, it can also show a live candidate marker, which may update until the bar closes. That means the script is causal and historically non-repainting on closed bars, while still being allowed to update on the current live bar.
Important behavior note
This script is best understood as:
historically stable on closed bars
live-updating on the current bar
So “non-repainting” here means confirmed historical entry markers do not rewrite after bar close. It does not mean the current unfinished bar cannot update before confirmation.
Features
causal transform path
realtime regime/state coloring
armed reversal candidates
confirmed historical long and short entries
optional live candidate markers
minimum move-away filter
optional close-beyond-pivot-close filter
optional transform agreement filter
optional raw-trend agreement filter
cooldown filter
long and short alertconditions
compact status table
Strengths
cleaner entry framing than raw-price-only flips
easy to understand and visually inspect
useful as a standalone entry tool
historically stable confirmed markers on closed bars
live candidate visibility before confirmation
simpler and more universal than a full integrated engine
does not require trade-management complexity to be useful
Weaknesses
does not solve the false-pivot problem universally
entry quality will still vary by market and timeframe
no exits, no profit handling, no loss handling
no replay-based trade-state reconstruction
no full forecast/probability layer
some filters may still remove both good and bad signals
current-bar live candidates can update before bar close
Who it’s for
This script is best suited for:
traders who want a cleaner entry-only tool
users looking for realtime directional shift markers
traders who want historically stable confirmed entry markers
users who want a simpler transform-based script
users interested in market-structure style entries without a full operational engine
Who it’s not for
This script is not best suited for:
users wanting full trade management
users expecting exits and complete automation
users expecting universal high-accuracy winner/loser separation
users wanting a full replay/stat engine
users wanting a complete forecast system
users looking for a guaranteed low-false-signal solution
Known limitations
This script is better at:
structuring entries
cleaning up directional state
and showing stable historical entry markers
than it is at:
reliably separating all future winners from losers before entry
It should be viewed as an entry-focused structure tool, not as a complete predictive engine or full trade-management system.
Final note
Realtime Non-Repainting Entries is a focused, entry-only script built around realtime causal entry structure and historically stable confirmed entry markers. It is designed to be useful and clear without turning into a full operational engine. Its value is in structuring entries more cleanly than raw price alone, not in solving the entire trading problem. Indicator
Market Mastery Blueprint Narrow State FinderA comprehensive trade management and signal indicator built specifically for ES and MES futures traders operating on the 2-minute chart. The Market Mastery Blueprint combines market state detection, MA cross signals, smart entry scoring, and real-time risk/reward calculation into a single all-in-one tool.
KEY FEATURES:
Market State Detection
Uses a fast (20) and slow (200) EMA relationship to classify price action into Narrow State (low volatility, inside range) and Wide State (trending/expanded) conditions. Background shading highlights each regime so you always know the current market context.
MA Cross Signal Engine
Detects three types of moving average crosses: Price x 20 SMA, Price x 200 SMA, and the classic 20 x 200 SMA Golden/Death Cross. An optional Elephant Bar filter ensures crosses are only flagged when backed by strong momentum candles, reducing false signals.
Elephant Bar Detection
Identifies large, impulsive candles (bull and bear) based on body size, tail wick ratios, and bar range thresholds. Elephant bars are highlighted directly on the chart and can act as confirmation filters for MA cross and entry signals.
Tail Dot Signals
Plots small dots on candles with significant wicks (topping tails and bottoming tails) that do not align with the prevailing signal direction, helping identify potential exhaustion and reversal setups.
Entry Labels with Risk/Reward
When a long or short signal triggers, a label is placed on the chart displaying the signal type, composite score, risk in dollars, reward in dollars, and number of contracts based on your defined account size and risk percentage.
TP / SL / Breakeven Lines
Automatically draws dynamic stop-loss, take-profit, and breakeven lines projected forward from each signal bar. Offset lines extend to the right for clear visual reference.
Session Filter
Restricts signals to active trading hours. You can skip the first N minutes after the open and stop taking signals N minutes before the close, keeping you out of pre/post market noise.
Fully Customizable Inputs
- Instrument: MES or ES
- Account size and risk % per trade
- ATR stop multiplier and R-multiple target
- Breakeven trigger level (x ATR)
- Minimum stop distance in points
- All visual toggles (state backgrounds, zones, elephant colors, labels, TP/SL lines, cross signals)
Built in Pine Script v6. Designed for active futures day traders who want a structured, rule-based framework for identifying high-quality setups on the ES and MES. Indicator
Indicator
Indicator
Adaptive Trend FinderAdaptive Trend Finder - The Ultimate Trend Detection Tool
Introducing Adaptive Trend Finder, the next evolution of trend analysis on PulseWire. This powerful indicator is an enhanced and refined version of Adaptive Trend Finder (Log), designed to offer even greater flexibility, accuracy, and ease of use.
What’s New?
Unlike the previous version, Adaptive Trend Finder allows users to fully configure and adjust settings directly within the indicator menu, eliminating the need to modify chart settings manually. A major improvement is that users no longer need to adjust the chart's logarithmic scale manually in the chart settings; this can now be done directly within the indicator options, ensuring a smoother and more efficient experience. This makes it easier to switch between linear and logarithmic scaling without disrupting the analysis. This provides a seamless user experience where traders can instantly adapt the indicator to their needs without extra steps.
One of the most significant improvements is the complete code overhaul, which now enables simultaneous visualization of both long-term and short-term trend channels without needing to add the indicator twice. This not only improves workflow efficiency but also enhances chart readability by allowing traders to monitor multiple trend perspectives at once.
The interface has been entirely redesigned for a more intuitive user experience. Menus are now clearer, better structured, and offer more customization options, making it easier than ever to fine-tune the indicator to fit any trading strategy.
Key Features & Benefits
Automatic Trend Period Selection: The indicator dynamically identifies and applies the strongest trend period, ensuring optimal trend detection with no manual adjustments required. By analyzing historical price correlations, it selects the most statistically relevant trend duration automatically.
Dual Channel Display: Traders can view both long-term and short-term trend channels simultaneously, offering a broader perspective of market movements. This feature eliminates the need to apply the indicator twice, reducing screen clutter and improving efficiency.
Fully Adjustable Settings: Users can customize trend detection parameters directly within the indicator settings. No more switching chart settings – everything is accessible in one place.
Trend Strength & Confidence Metrics: The indicator calculates and displays a confidence score for each detected trend using Pearson correlation values. This helps traders gauge the reliability of a given trend before making decisions.
Midline & Channel Transparency Options: Users can fine-tune the visibility of trend channels, adjusting transparency levels to fit their personal charting style without overwhelming the price chart.
Annualized Return Calculation: For daily and weekly timeframes, the indicator provides an estimate of the trend’s performance over a year, helping traders evaluate potential long-term profitability.
Logarithmic Adjustment Support: Adaptive Trend Finder is compatible with both logarithmic and linear charts. Traders who analyze assets like cryptocurrencies, where log scaling is common, can enable this feature to refine trend calculations.
Intuitive & User-Friendly Interface: The updated menu structure is designed for ease of use, allowing quick and efficient modifications to settings, reducing the learning curve for new users.
Why is this the Best Trend Indicator?
Adaptive Trend Finder stands out as one of the most advanced trend analysis tools available on PulseWire. Unlike conventional trend indicators, which rely on fixed parameters or lagging signals, Adaptive Trend Finder dynamically adjusts its settings based on real-time market conditions. By combining automatic trend detection, dual-channel visualization, real-time performance metrics, and an intuitive user interface, this indicator offers an unparalleled edge in trend identification and trading decision-making.
Traders no longer have to rely on guesswork or manually tweak settings to identify trends. Adaptive Trend Finder does the heavy lifting, ensuring that users are always working with the strongest and most reliable trends. The ability to simultaneously display both short-term and long-term trends allows for a more comprehensive market overview, making it ideal for scalpers, swing traders, and long-term investors alike.
With its state-of-the-art algorithms, fully customizable interface, and professional-grade accuracy, Adaptive Trend Finder is undoubtedly one of the most powerful trend indicators available.
Try it today and experience the future of trend analysis.
This indicator is a technical analysis tool designed to assist traders in identifying trends. It does not guarantee future performance or profitability. Users should conduct their own research and apply proper risk management before making trading decisions.
// Created by Julien Eche - @Julien_Eche Indicator
Indicator
Bias AnalyzerName: Bias Analyzer
Category: Market Analyzer
Timeframe: 1H and 1D, depending on the Analysis type.
Technical Analysis: Usually when we think about a Trading System we start from an idea. This idea comes normally from observation and the study of the market.
Have we ever observed a market - for example Bitcoin - and thought that it increases at the start of a USA session? Great, this is a well-known category of Trading System and the purpose of the Bias Analyzer is to study these phenomena.
There are different types of Trading System that we can classify considering the market in-efficiency that we use to our advantage. In this case we make the Bias. Literally "inclination" or "presupposition" or precisely "tendency" of the price to go up or down in a temporal way.
The characteristics of the Bias depend on how much the Bias is persistent on the market since the analysed period. therefore we can consider:
Hourly Bias : analysing the hourly behaviours during the week. Trades normally last from a few hours to a few days.
Seasonal Bias : analysing the behaviour of the weeks in the monthly or annual context, evaluating the seasons.
Suggested usage: The possibilities of the tool are infinite, these are some scenarios of use:
Development of Intraday Trading Systems based on Hourly Bias with possible filters for specific days of the week.
Development of a Multi-day Trading System based on daily Bias with monthly analysis.
To identify the best day to execute our investment through Dollar Cost Average with a bit of healthy buy the dip
Main features:
Hourly Summary organized in Week
The cells contain the sum of the various price deltas for the single hour. The transparency indicates the frequency in which the candles close positive or negative. This information is available both in a synthetic way, as in the first column "Sum", and for each day of the week.
Hourly Details organized in different entry/exit
Shows the cumulative data of the various deltas, considering the purchase and the sale at certain times. In the rows are represented the buying hours and in the columns the selling hours.
Daily Summary organized in Months
The cells contain the summation of the various price deltas for the single day.
Hourly Details organized in different entry/exit
Allows to visualise the detailed analysis table, choosing to do it for all the months or for a specific month and shows the cumulative data of the various deltas, considering the purchase and the sale in certain days.
Configuration: You can configure the tool easily and completely.
Analysis
Calculate from Close to Open : this is the core of the whole analysis where the "Price Delta" to be calculated is defined. At this moment there is the possibility to calculate the distance between opening and closing.
Calculate in Percent or Cash : this allows to calculate the Price Delta in Percent or in Cash.
Analysis on 1H Timeframe
Show Hourly Summary on : allows to visualise the summary analysis table of the week. The cells contain the sum of the various price deltas for the single hour. The transparency indicates the frequency in which the candles close positive or negative. This information is available both in a synthetic way, as in the first column "Sum", and for each day of the week. At the bottom left there is also data which allows us to understand how many candles are being analysed. At the bottom of each day it is possible to visualise the cumulative data of the day. The position of the table is customizable.
Show Hourly Details of on : allows to visualise the detailed analysis table, choosing to do it for all days or for a specific day, and shows the cumulative data of the various deltas, considering the purchase and the sale at certain times. In the rows are represented the buying hours and in the columns the selling hours. For example, going to the table "All Days" we can see in the cell of row 13 and in column 22 the cumulative data of a possible buy on 13 and a sell at the end of 22. To facilitate the research of the values there is a configurable transparency system.
Analysis on 1D Timeframe
Show Daily Summary on : allows to visualise the summary analysis table of the month. The cells contain the summation of the various price deltas for the single day: The first row is the summation of all days of the month for all months in the analysis period, while the other rows represent the analysis for the various days of the individual months.
Show Daily Details of on : allows to visualise the detailed analysis table, choosing to do it for all the months or for a specific month and shows the cumulative data of the various deltas, considering the purchase and the sale in certain days. In the rows are represented the buying days and in the columns the selling days. For example, going to the table "All Months" we can see in the cell at row 1 and at column 3 the cumulative of a possible purchase on the 1st and the sale on the 3rd. To facilitate the research of the values, there is a configurable transparency system.
Table Layout
Size : allows to define the size of the text in the table.
Precision : it is possible to define the decimal precision of the calculations presented in the tables.
Transparency Factor : allows the application of a multiplication factor when the table calculates the transparency of detail tables.
Colours : allows to specify the colours of Profit, Loss and Neutral, besides to adapt a style coherent with the Dark Mode or Light Mode of Trading View
Volatility Filter
It is possible to directly apply a filter to the time series on which the delta is calculated. The volatility filter uses the ATR - an indicator that allows you to calculate the volatility in a given period. Briefly: the higher the ATR value, the higher the volatility. Therefore the filter works by comparing the volatility on two periods and indicates compression or expansion.
Backtest Dates
In order to facilitate the identification of in-sample and out-of-sample data, as well as the degradation of a given behaviour, it is possible to specify a period in which to do the analysis.
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