6xMa_ichimoku_MTF_Boll_SuperTrend V2 update [PlungerMen]hello!
This script very funny :))
This Script version update , I made for a friend named Huu Trung You can add to it This script have 3 ema , 3 wma , bollingerBand super Trend, Ichimokhu, mtf ma In settings there is a section to turn off what you do not like Hope you enjoy this version
6x MA in one Chart
You can change color, hide Ma if you want
Ichimoku Clound
MTF indicator
Boolinger band and Super trend pro
have you like!
在腳本中搜尋"mtf"
Gomoku_V2I tried to improve the one - step equilibrium table.
Since the original glance consisted of the middle line of the Hiroo band, something is calculated from the upper and lower lines.
Leading span A = Double the width of the HiLo band (Green 2) * (1-75 (≒ 76.4% return)), the central complex clouds only changed the expression at a glance.
It is unified to shift all lines at first glance by 25. The old lagging span was renamed to the preceding price span.
You can use the first line of conversion line and reference line with the combination of the preceding conversion line, the preceding reference line and the preceding price span.
The part surrounded by the preceding conversion line and the preceding reference line is defined as rain cloud.
The leading span B is the interpretation of the rain cloud and the effective value of the cloud.
(the width of the reference line and the leading span A) ÷ The width of the rain cloud is like the intensity of the cloud.
Rain clouds have the same properties as clouds, and the twisted parts are weak.
When the type of cloud and rain cloud are different, it is countervailing and resistance seems to be weak.
Even when the width of the leading span A and the leading reference line is narrow, the resistance seems to be weak.
It seems there are clouds above and below as well because it was the motivation for development so there are two clouds each above and below. The clouds are five (although it is actually six) so it is the fifth grade.
It should normally be bounced back in the green zone.
There is a red zone for abnormal price fluctuations.
It seems that the upper and lower clouds only bounce back toward the center.
If you are not satisfied with price movements overall it seems that you are in the range market, often breaking through for the passage of time.
Update Ver 2.0
integrate MTF amagumo
Devices of color arrangement
The resistance is strong where the cloud color is thin.
It should be weak as the force is canceled as much as it is black.
Batch display option for each part
Specealthanks
Ichimoku kinkou hyou
KazmaxFAN Club # Place for technical discussion
一目均衡表を改良してみました。
元の一目はハイローバンドの中線から構成されていたので、上下の線から何かを算出しています。
先行スパンA＝ハイローバンドの幅の2倍（Green2）*（1-75（≒76.4％戻し）） という発見により、中央の複雑な雲は一目の表現を変えるだけにしました。
一目の線は全て25前にずらすのに統一です。旧遅行スパンは先行価格スパンに改名しました。
先行転換線と先行基準線と先行価格スパンの組み合わせで一目の転換線と基準線の使い方が出来ます。
先行転換線と先行基準線で囲まれた部分は雨雲と定義。
先行スパンBは雨雲と雲の実効値という解釈です。
（基準線と先行スパンAの幅）÷雨雲の幅が雲の強度という感じです。
雨雲も雲と同じ性質を持っていて、ねじれた部分は弱いぽいです。
雲と雨雲の種類が異なる時は打ち消しあって抵抗が弱いようです。
先行スパンAと先行基準線の幅が狭い時も抵抗が弱いようです。
上下にも雲があるように思えたのが開発の動機だったので上下に各２本雲があります。雲が５本（本当は６本ですが）だから五目です。
通常はグリーンゾーンで跳ね返されるはずです。
異常な価格変動用にレッドゾーンがあります。
上下の雲は中央に向けて跳ね返すくらいしかしないようです。
全体的に価格移動に困ればレンジ相場になって、時間の経過で強行突破することが多いように見えます。
Update Ver2.0
MTF amagumoを統合
配色を工夫
雲の色が薄い所は抵抗が強いです。
黒い所ほど力が打ち消しあって弱いはずです。
各パーツごとに一括表示オプション
Specealthanks
一目均衡表
KazmaxFAN倶楽部 ＃テクニカル議論の場
Adaptive Entry/Exit Signals with Optional TP ConfirmationAdaptive Entry/Exit Signals with Optional TP Confirmation (Indicator)
What’s unique
Gated entry sequencing: Prevents duplicate Long/Short labels within the same move (“lock/unlock”).
Exit-line visualization tied to prior extremes: Plots step lines showing the exact exit thresholds the logic uses.
Optional multi-filter confluence: ADX/DI trend check, Chandelier Stop, hold/cooldown rules.
Optional Take-Profit (TP) confirmation using RSI.
What it does
This indicator highlights six events on the active timeframe:
Long — potential long entry
Exit Long — exit condition for an open long
Long TP — take-profit trigger for a long
Short — potential short entry
Exit Short — exit condition for an open short
Short TP — take-profit trigger for a short
Optionally, it draws dynamic exit lines that mirror the thresholds used by the logic.
How signals are calculated (high level) :
Trend bands
highBand = highest high of the last Trend Window bars
lowBand = lowest low of the last Trend Window bars
Entries
Long when price breaks (or equals) the previous bar’s highBand.
Short when price breaks (or equals) the previous bar’s lowBand.
Gating:
Lock/unlock prevents multiple entry labels in one directional move.
A bar-ordering gate reduces immediate flip-flops.
Exits
Exit Long = lowest(low, Exit Window)
Exit Short = highest(high, Exit Window)
Optional filters can require:
Close beyond the exit line
ADX/DI (Average Directional Index/Directional Indicators, Wilder) trend-loss check
Chandelier Stop (ATR-based) confluence
Minimum hold time after entry
Take-Profit (optional)
If TP % > 0 , the tool computes a TP from the entry bar and confirms with RSI (default: >70 for longs, <20 for shorts).
Exit Lines (optional)
Plotted as step lines while “in position”:
Long Exit Line = lowest(low, Exit Window)
Short Exit Line = highest(high, Exit Window)
Inputs (essentials)
Trend Window — lookback for high/low bands
Exit Window — lookback for exit thresholds
TP % — percent distance from entry to compute TP (0 disables)
RSI Length / Cutoffs — for TP confirmation
Filters (toggleable)
Close must cross the exit line
ADX/DI trend-loss check (Wilder’s method)
Chandelier Stop (ATR-based) confluence
Minimum hold bars after entry
Cooldown bars after exit before re-entry
Visuals
Show/hide trend bands and exit lines.
Alerts Included
Long Entry, Short Entry
Exit Long, Exit Short
Long TP, Short TP
Tip : For stable behavior, set alerts to Once per bar close.
Notes & Best Practices
This is an indicator , not a strategy ; it does not open/close trades.
Signals are calculated on the current chart timeframe only (single-timeframe logic).
Parameter choices are context-dependent. As a starting point:
Faster charts: consider a slightly larger Exit Window and enable Close must cross to reduce wick exits.
Slower charts: filters can be relaxed.
Repainting & Data Policy
No lookahead is used.
The script does not request higher timeframes for its logic.
On real-time (in-progress) bars , visuals and alerts can update until the bar closes . For confirmation-style use, wait for bar close and/or use the provided filters (e.g., close-only or 2-bar style confirmation).
Chart Types
Designed for standard Candlestick/Bar charts.
Not intended for Heikin Ashi, Renko, Kagi, Point & Figure, or Range charts.
Limitations & Disclosure
No performance claims are made. Past behavior does not guarantee future results.
For educational and analytical purposes only; not financial advice . Always do your own research and use risk management.
Version & Scope
Scope : Entry/Exit/TP framework with optional exit filters and exit-line visualization.
Engine : Single-timeframe logic (no MTF); Wilder-style ADX/DI implemented internally for portability.
Pine version : v5
External libraries : none
MSS Boxes (close-break only)What it does
MSS Boxes detects Market Structure Shifts (MSS) and draws clean, non-repainting mitigation boxes you can trade from. When price closes through the most recent swing with momentum, the candle that caused the break is captured as a box (supply for bearish, demand for bullish) and extended to the right as objective S/R.
How it works
Swings: swing highs/lows from your chosen left/right bars.
Shift: a bullish shift when price closes above the last swing high; bearish when it closes below the last swing low.
Displacement filter: optional size/ATR filter to require an impulsive break.
Box recipe: use wick-to-wick or body-only from the last opposite-colour candle before the break. Boxes don’t move after confirmation.
Lifecycle
Active → printed and valid.
Mitigated → price trades back into the box (optional strict wick rule).
Invalidated → close through the far side.
Expired → after N bars or at your session reset (e.g., NY 18:00).
What you see
Green boxes for bullish, red for bearish.
Small tag at origin (e.g., BOS↑/BOS↓).
Optional status markers (active/mitigated/invalid).
Key options
Swing length and displacement thresholds.
Box style (wicks vs body), max height cap, auto-merge overlaps.
MTF alignment (H1/M15) for plotting or alerts only.
Session reset time, max boxes, colours/opacity/label size.
Advance Trading SystemThis Price Action + Volume based indicator combines Multi‑Timeframe swing structure, volume ranking, liquidity zones and auto long/short signal generation to create an “Advance Trading System” that displays OB (order block‑like) levels, dashboard and entry/exit labels on the chart.
What this indicator does
Looks at recent candles on different timeframes to determine if the trend is more “bullish” or “bearish” (considers it bullish if at least 2 out of 3 timeframes agree).
Picks up the recent swing points where the price can reverse and plots green/red lines on them (called “Buy OB”/“Sell OB” here).
Shows when volume has increased, whether the bar is an inside-bar or not, and a small dashboard in the top-right that shows the trend, reversal levels, volume and LTF/HTF signals.
What are the buttons/settings
Swing Strength: Based on how many bars the recent swing high/low will be confirmed; if the number increases, the signal will come late but with more confidence.
Volume Avg Period: How many bars the volume should be averaged from; this checks “whether the volume is strong or not”.
Show HH/HL/LH/LL Labels: Switch to show/hide swing labels by writing them on the chart.
Show Dashboard: Small panel on/off in the top-right.
Signal Mode: Auto, Long Only, Short Only or Both—that is, whether to follow the auto-trend or see only buy/sell.
LTF/HTF: Choose lower and higher timeframes; also 15m/30m/1h/4h are scanned in the background to understand the recent direction.
How to identify trends and swings
Candle patterns: Simple rule—if the latest candle is biased (e.g. a strong bull/bear or a particularly long wick candle), then the signal for that TF is 1 (bull) or -1 (bear); otherwise 0.
Three TFs: Lower, Mid (which is the chart TF), and Higher—the non-zero signal is considered the “last known direction”; then the number of the three is counted as bull/bear.
Swing high/low: The most recent “solid” high/low on the chart is considered the highest/lowest within a few bars to the left or right; this indicates whether the new high is above (HH) or below (LH) the old one, and whether the new low is above (HL) or below (LL).
What are the green/red lines
If the trend is bullish (at least 2 out of 3 TFs are bullish), a green line is drawn near the previous confirmed low—here it is called Buy OB; the idea is that if the price comes near this zone, a bounce is expected.
On a bearish trend, a red line is drawn near the previous confirmed high—Sell OB—which means if the price comes near that zone, a drop is expected.
Volume colors and inside-bars
color of each bar is determined by the volume ranking: orange/yellow for low volume, varying shades of blue for high volume; if an inside-bar is formed (both high/low inside the previous bar) the bar is darkened to draw attention.
Simple estimation of liquidity zone
When the recent swing high is formed, the total volume is looked at in the surrounding few bars (eg: 3-3 bars before/after) and the upper/lower edge is noted where the maximum concentration is - this is considered as the liquidity zone.
The same is done for the high TF as well and the average of both is taken to form an MTF zone to get a big-picture picture.
What the dashboard shows
Trend (Multi‑TF): HL/HH indicates bullish trend, LH/LL indicates bearish trend; color green/red.
Reversal Level: Level where the recent reversal was confirmed (high/low of the last confirmed swing).
Volume vs Prev: Volume higher/lower/equal to the previous bar.
Volume: Raw number, color green/red depending on whether Price is buy or sell.
LTF/HTF: Last received signal as BUY/SELL.
How entry/exit signals are formed
Basic conditions:
Mood bias: at least 2 TFs in the same direction.
Volume strength: current volume is well above average and higher than the previous bar—i.e. there is real juice.
Near zone: price is in a small band around the green/red line (e.g. within about -2% to +1% for Buy).
Long Entry : all three conditions above are met on the previous close of the bar in the buy direction; Short Entry is the opposite. Exit rule is also placed on the previous bar of the opposite signal, so that everything is on a “confirmed close” and false shocks are minimized.
Labels: once the signal is confirmed, the labels “LONG ENTRY”, “LONG EXIT”, “SHORT ENTRY”, “SHORT EXIT” are applied to the chart on the previous bar itself, with a small ATR-based gap for clear reading.
How Auto/Manual modes work
Auto (TF Based): The system will decide whether to look at Long Only, Short Only, or Both—depending on the Multi‑TF trend.
Long Only/Short Only: Only signals from that side will be generated; Both will generate both.
What to look for in the limits
Swing confirmation takes time, as you have to wait for a few bars to the right—so the signal is more reliable with a slight delay.
The term “OB” is used here for a simple level; this is not pro-level order-block detection (such as with FVG/break-off-structure), but it works well with this system.
Volume ranking is simple; ties are possible at equal volume, which can reduce precision in color-coding.
How to use
First check the trend from the dashboard: focus on the buy zone if HL/HH, sell zone if LH/LL.
Then check if there is a volume spike; without volume confirmation it is better to skip signals.
When the price is right near the green/red line, only work with a confirmed signal on the previous close bar, avoid rushing in between.
This can be made more robust if desired by adding true order‑block, FVG, and additional confirmations (such as RSI/MACD/Structure Break); but the base idea is to combine multi‑timeframe trend + swing levels + volume strength + zone close to produce simple, Tradeable and confirmed signals.
Dual 4/8 MTFInspired on multi-timeframe Murrey’s Math Lines Channel.
Using the 4/8 , 2 times with different fractal multipliers to follow the trend
Lines and fill in between then can be =
-dynamic :(turn green/red/grey depending on price)
-static : fixed colour that wont change depending on trend
[RS] Dual Murrey 4/8 (MTF) Inspired on multi-timeframe Murrey’s Math Lines Channel.
Using the 4/8 , 2 times with different fractal multipliers to follow the trend
Essa - Market Structure Crystal Ball SystemEssa - Market Structure Crystal Ball V2.0
Ever wished you had a glimpse into the market's next move? Stop guessing and start anticipating with the Market Structure Crystal Ball!
This isn't just another indicator that tells you what has happened. This is a comprehensive analysis tool that learns from historical price action to forecast the most probable future structure. It combines advanced pattern recognition with essential trading concepts to give you a unique analytical edge.
Key Features
The Predictive Engine (The Crystal Ball)
This is the core of the indicator. It doesn't just identify market structure; it predicts it.
Know the Odds: Get a real-time probability score (%) for the next structural point: Higher High (HH), Higher Low (HL), Lower Low (LL), or Lower High (LH).
Advanced Analysis: The engine considers the pattern sequence, the speed (velocity) of the move, and its size to find the most accurate historical matches.
Dynamic Learning: The indicator constantly updates its analysis as new price data comes in.
The All-in-One Dashboard
Your command center for at-a-glance information. No need to clutter your screen!
Market Phase: Instantly know if the market is in a "🚀 Strong Uptrend," "📉 Steady Downtrend," or "↔️ Consolidation."
Live Probabilities: See the updated forecasts for HH, HL, LL, and LH in a clean, easy-to-read format.
Confidence Level: The dashboard tells you how confident the algorithm is in its current prediction (Low, Medium, or High).
🎯 Dynamic Prediction Zones
Turn probabilities into actionable price areas.
Visual Targets: Based on the highest probability outcome, the indicator draws a target zone on your chart where the next structure point is likely to form.
Context-Aware: These zones are calculated using recent volatility and average swing sizes, making them adaptive to the current market conditions.
🔍 Fair Value Gap (FVG) Detector
Automatically identify and track key price imbalances.
Price Magnets: FVGs are automatically detected and drawn, acting as potential targets for price.
Smart Tracking: The indicator tracks the status of each FVG (Fresh, Partially Filled, or Filled) and uses this data to refine its predictions.
🌍 Trading Session Analysis
Never lose track of key session levels again.
Visualize Sessions: See the Asia, London, and New York sessions highlighted with colored backgrounds.
Key Levels: Automatically plots the high and low of each session, which are often critical support and resistance levels.
Breakout Alerts: Get notified when price breaks a session high or low.
📈 Multi-Timeframe (MTF) Context
Understand the bigger picture by integrating higher timeframe analysis directly onto your chart.
BOS & MSS: Automatically identifies Breaks of Structure (trend continuation) and Market Structure Shifts (potential reversals) from up to two higher timeframes.
Trade with the Trend: Align your intraday trades with the dominant trend for higher probability setups.
⚙️ How It Works in Simple Terms
1️⃣ It Learns: The indicator first identifies all the past swing points (HH, HL, LL, LH) and analyzes their characteristics (speed, size, etc.).
2️⃣ It Finds a Match: It looks at the most recent price action and searches through hundreds of historical bars to find moments that were almost identical.
3️⃣ It Analyzes the Outcome: It checks what happened next in those similar historical scenarios.
4️⃣ It Predicts: Based on that historical data, it calculates the probability of each potential outcome and presents it to you.
🚀 How to Use This Indicator in Your Trading
Confirmation Tool: Use a high probability score (e.g., >60% for a HH) to confirm your own bullish analysis before entering a trade.
Finding High-Probability Zones: Use the Prediction Zones as potential areas to take profit, or as reversal zones to watch for entries in the opposite direction.
Gauging Market Sentiment: Check the "Market Phase" on the dashboard. Avoid forcing trades when the indicator shows "😴 Low Volatility."
Confluence is Key: This indicator is incredibly powerful when combined with your existing strategy. Use it alongside supply/demand zones, moving averages, or RSI for ultimate confirmation.
We hope this tool gives you a powerful new perspective on the market. Dive into the settings to customize it to your liking!
If you find this indicator helpful, please give it a Boost 👍 and leave a comment with your feedback below! Happy trading!
Disclaimer: All predictions are probabilistic and based on historical data. Past performance is not indicative of future results. Always use proper risk management.
Pivot Matrix & Multi-Timeframe Support-Resistance Analytics________________________________________
📘 Study Material for Pivot Matrix & Multi Timeframe Support-Resistance Analytics
(By aiTrendview — Educational Use Only)
________________________________________
🎯 Introduction
The Pivot Matrix & Multi Timeframe Support-Resistance Analytics indicator is designed to help traders visualize pivot points, support/resistance levels, VWAP, and volume flow analytics all in one place. Rather than giving explicit buy/sell calls, the dashboard provides reference insights so a learner may understand how different technical levels interact in real time.
This document explains its functionality step by step with formulas and usage guides.
________________________________________
1️⃣ Pivot System Logic
Pivot points are classic tools for mapping market support and resistance levels.
✦ How Calculated?
Using the Traditional Method:
• Pivot Point (PP):
PP=Highprev+Lowprev+Closeprev3PP = \frac{High_{prev} + Low_{prev} + Close_{prev}}{3}PP=3Highprev+Lowprev+Closeprev
• First Support/Resistance:
R1=2×PP−Lowprev,S1=2×PP−HighprevR1 = 2 \times PP - Low_{prev}, \quad S1 = 2 \times PP - High_{prev}R1=2×PP−Lowprev,S1=2×PP−Highprev
• Second Support/Resistance:
R2=PP+(Highprev−Lowprev),S2=PP−(Highprev−Lowprev)R2 = PP + (High_{prev} - Low_{prev}), \quad S2 = PP - (High_{prev} - Low_{prev})R2=PP+(Highprev−Lowprev),S2=PP−(Highprev−Lowprev)
• Third Levels:
R3=Highprev+2×(PP−Lowprev),S3=Lowprev−2×(Highprev−PP)R3 = High_{prev} + 2 \times (PP - Low_{prev}), \quad S3 = Low_{prev} - 2 \times (High_{prev} - PP)R3=Highprev+2×(PP−Lowprev),S3=Lowprev−2×(Highprev−PP)
• Similarly, R4/R5 and S4/S5 are extrapolated from extended range multipliers.
✦ How Used?
• Price above PP → bullish control bias.
• Price below PP → bearish control bias.
• R1–R5 levels act as resistances; S1–S5 act as supports.
Learners should watch how candles behave when approaching R/S zones to spot breakout vs. rejection conditions.
________________________________________
2️⃣ Multi Timeframe Logic
The indicator allows using daily-based pivot values (via request.security). This ensures alignment with institutional daily levels, not just intraday recalculations.
✦ Teaching Value
Understanding MTF pivots shows how markets respect higher timeframe levels (daily > intraday, weekly > daily). This helps learners grasp nested support-resistance structures.
________________________________________
3️⃣ VWAP (Volume Weighted Average Price)
Formula:
VWAPt=∑(Pricei×Volumei)∑(Volumei),Pricei=High+Low+Close3VWAP_t = \frac{\sum (Price_i \times Volume_i)}{\sum (Volume_i)}, \quad Price_i = \frac{High + Low + Close}{3}VWAPt=∑(Volumei)∑(Pricei×Volumei),Pricei=3High+Low+Close
Usage:
• VWAP is used as an institutional benchmark of fair value.
• Above VWAP = bullish flow.
• Below VWAP = bearish flow.
Learners should check whether price respects VWAP as a magnet or uses it as support/resistance.
________________________________________
4️⃣ Volume Flow Analysis
The script classifies buy volume, sell volume, and neutral volume.
• Buy Volume = if close > open.
• Sell Volume = if close < open.
• Neutral Volume = if close = open.
For daily tracking:
Buy%=DayBuyVolDayTotalVol×100,Sell%=DaySellVolDayTotalVol×100Buy\% = \frac{DayBuyVol}{DayTotalVol} \times 100, \quad Sell\% = \frac{DaySellVol}{DayTotalVol} \times 100Buy%=DayTotalVolDayBuyVol×100,Sell%=DayTotalVolDaySellVol×100
Usage for Learners:
• Dominant Buy% → accumulation/ bullish pressure.
• Dominant Sell% → distribution/ bearish pressure.
• Balanced → sideways liquidity building.
This teaches observation of order flow bias rather than relying only on price.
________________________________________
5️⃣ Dashboard Progress Bars & Colors
The script uses visual progress bars and dynamic colors for clarity. For example:
• VWAP Backgrounds: Green shades when price strongly above VWAP, Red when below.
• Volume Bars: More green blocks mean buying dominance, red means selling pressure.
This visual design turns concepts into easy-to-digest cues, useful for training.
________________________________________
6️⃣ Market Status Summary
Finally, the dashboard synthesizes all data points:
• Price vs Pivot (above or below).
• Price vs VWAP (above or below).
• Volume Pressure (buy side vs sell side).
Status Rule:
• If all three align bullish → Status box turns green.
• If mixed → Neutral grey.
• If bearish dominance → weaker tone.
Why Important?
This teaches learners that market conditions should align in confluence across indicators before confidence arises.
________________________________________
⚠️ Strict Disclaimer (aiTrendview)
The Pivot Matrix & Multi Timeframe Support-Resistance Analytics tool is developed by aiTrendview for strictly educational and research purposes.
❌ It does NOT provide buy/sell recommendations.
❌ It does NOT guarantee profits.
❌ Unauthorized use, copying, or redistribution of this code is prohibited.
⚠️ Trading Risk Warning:
• Trading involves high risk of financial loss.
• You may lose more than your capital.
• Past levels and indicators do not predict future outcomes.
This tool must be viewed as a visual education aid to practice technical analysis skills, not as trading advice.
________________________________________
✅ Now you have a step by step study guide:
• Pivot calculations explained
• VWAP with logic
• Volume breakdown
• Visual analytics
• Status confluence logic
• Disclaimer for compliance
________________________________________
⚠️ Warning:
• Trading financial markets involves substantial risk.
• You can lose more money than you invest.
• Past performance of indicators does not guarantee future results.
• This script must not be copied, resold, or republished without authorization from aiTrendview.
By using this material or the code, you agree to take full responsibility for your trading decisions and acknowledge that this is not financial advice.
________________________________________
⚠️ Disclaimer and Warning (From aiTrendview)
This Dynamic Trading Dashboard is created strictly for educational and research purposes on the TradingView platform. It does not provide financial advice, buy/sell recommendations, or guaranteed returns. Any use of this tool in live trading is completely at the user’s own risk. Markets are inherently risky; losses can exceed initial investment.
The intellectual property of this script and its methodology belongs to aiTrendview. Unauthorized reproduction, modification, or redistribution of this code is strictly prohibited. By using this study material or the script, you acknowledge personal responsibility for any trading outcomes. Always consult professional financial advisors before making investment decisions.
Dual MTF Stoch & MACD Visualizer (Vertical) & 10EMAMulti-frame stoch and macd chart for current and previous candle, giving traders an overview of momentum, also integrated with 10 ema lines 5,12,21,35,50,75,100,200
BPS Multi-MA 5 — 22/30, SMA/WMA/EMA# Multi-MA 5 — 22/30 base, SMA/WMA/EMA
**What it is**
A lightweight 5-line moving-average ribbon for fast visual bias and trend/mean-reversion reads. You can switch the MA type (SMA/WMA/EMA) and choose between two ways of setting lengths: by monthly “session-based” base (22 or 30) with multipliers, or by entering exact lengths manually. An optional info table shows the effective settings in real time.
---
## How it works
* Calculates five moving averages from the selected price source.
* Lengths are either:
* **Multipliers mode:** `Base × Multiplier` (e.g., base 22 → 22/44/66/88/110), or
* **Manual mode:** any five exact lengths (e.g., 10/22/50/100/200).
* Plots five lines with fixed legend titles (MA1…MA5); the **info table** displays the actual type and lengths.
---
## Inputs
**Length Mode**
* **Multipliers** — choose a **Base** of **22** (≈ trading sessions per month) or **30** (calendar-style, smoother) and set **×1…×5** multipliers.
* **Manual** — enter **Len1…Len5** directly.
**MA Settings**
* **MA Type:** SMA / WMA / EMA
* **Source:** any series (e.g., `close`, `hlc3`, etc.)
* **Use true close (ignore Heikin Ashi):** when enabled, the MA is computed from the underlying instrument’s real `close`, not HA candles.
* **Show info table:** toggles the on-chart table with the current mode, type, base, and lengths.
---
## Quick start
1. Add the indicator to your chart.
2. Pick **MA Type** (e.g., **WMA** for faster response, **SMA** for smoother).
3. Choose **Length Mode**:
* **Multipliers:** set **Base = 22** for session-based monthly lengths (stocks/FX), or **30** for heavier smoothing.
* **Manual:** enter your exact lengths (e.g., 10/22/50/100/200).
4. (Optional) On **Heikin Ashi** charts, enable **Use true close** if you want the lines based on the instrument’s real close.
---
## Tips & notes
* **1 month ≈ 21–22 sessions.** Using 30 as “monthly” yields a smoother, more delayed curve.
* **WMA** reacts faster than **SMA** at the same length; expect earlier signals but more whipsaws in chop.
* **Len = 1** makes the MA track the chosen source (e.g., `close`) almost exactly.
* If changing lengths doesn’t move the lines, ensure you’re editing fields for the **active Length Mode** (Multipliers vs Manual).
* For clean comparisons, use the **same timeframe**. If you later wrap this in MTF logic, keep `lookahead_off` and handle gaps appropriately.
---
## Use cases
* Trend ribbon and dynamic bias zones
* Pullback entries to the mid/slow lines
* Crossovers (fast vs slow) for confirmation
* Volatility filtering by spreading lengths (e.g., 22/44/88/132/176)
---
**Credits:** Built for clarity and speed; designed around session-based “monthly” lengths (22) or smoother calendar-style (30).
ST-Stochastic DashboardST-Stochastic Dashboard: User Manual & Functionality
1. Introduction
The ST-Stochastic Dashboard is a comprehensive tool designed for traders who utilize the Stochastic Oscillator. It combines two key features into a single indicator:
A standard, fully customizable Stochastic Oscillator plotted directly on your chart.
A powerful Multi-Timeframe (MTF) Dashboard that shows the status of the Stochastic %K value across three different timeframes of your choice.
This allows you to analyze momentum on your current timeframe while simultaneously monitoring for confluence or divergence on higher or lower timeframes, all without leaving your chart.
Disclaimer: In accordance with TradingView's House Rules, this document describes the technical functionality of the indicator. It is not financial advice. The indicator provides data based on user-defined parameters; all trading decisions are the sole responsibility of the user. Past performance is not indicative of future results.
2. How It Works (Functionality)
The indicator is divided into two main components:
A. The Main Stochastic Indicator (Chart Pane)
This is the visual representation of the Stochastic Oscillator for the chart's current timeframe.
%K Line (Blue): This is the main line of the oscillator. It shows the current closing price in relation to the high-low range over a user-defined period. A high value means the price is closing near the top of its recent range; a low value means it's closing near the bottom.
%D Line (Black): This is the signal line, which is a moving average of the %K line. It is used to smooth out the %K line and generate trading signals.
Overbought Zone (Red Area): By default, this zone is above the 75 level. When the Stochastic lines are in this area, it indicates that the asset may be "overbought," meaning the price is trading near the peak of its recent price range.
Oversold Zone (Blue Area): By default, this zone is below the 25 level. When the Stochastic lines are in this area, it indicates that the asset may be "oversold," meaning the price is trading near the bottom of its recent price range.
Crossover Signals:
Buy Signal (Blue Up Triangle): A blue triangle appears below the candles when the %K line crosses above the Oversold line (e.g., from 24 to 26). This suggests a potential shift from bearish to bullish momentum.
Sell Signal (Red Down Triangle): A red triangle appears above the candles when the %K line crosses below the Overbought line (e.g., from 76 to 74). This suggests a potential shift from bullish to bearish momentum.
B. The Multi-Timeframe Dashboard (Table on Chart)
This is the informational table that appears on your chart. Its purpose is to give you a quick, at-a-glance summary of the Stochastic's condition on other timeframes.
Function: The script uses TradingView's request.security() function to pull the %K value from three other timeframes that you specify in the settings.
Efficiency: The table is designed to update only on the last (most recent) bar (barstate.islast) to ensure the script runs efficiently and does not slow down your chart.
Columns:
Timeframe: Displays the timeframe you have selected (e.g., '5', '15', '60').
Stoch %K: Shows the current numerical value of the %K line for that specific timeframe, rounded to two decimal places.
Status: Interprets the %K value and displays a clear status:
OVERBOUGHT (Red Background): The %K value is above the "Upper Line" setting.
OVERSOLD (Blue Background): The %K value is below the "Lower Line" setting.
NEUTRAL (Black/Dark Background): The %K value is between the Overbought and Oversold levels.
3. Settings / Parameters in Detail
You can access these settings by clicking the "Settings" (cogwheel) icon on the indicator name.
Stochastic Settings
This group controls the behavior and appearance of the main Stochastic indicator plotted in the pane.
Stochastic Period (length)
Description: This is the lookback period used to calculate the Stochastic Oscillator. It defines the number of past bars to consider for the high-low range.
Default: 9
%K Smoothing (smoothK)
Description: This is the moving average period used to smooth the raw Stochastic value, creating the %K line. A higher value results in a smoother, less sensitive line.
Default: 3
%D Smoothing (smoothD)
Description: This is the moving average period applied to the %K line to create the %D (signal) line. A higher value creates a smoother signal line that lags further behind the %K line.
Default: 6
Lower Line (Oversold) (ul)
Description: This sets the threshold for the oversold condition. When the %K line is below this value, the dashboard will show "OVERSOLD". It is also the level the %K line must cross above to trigger a Buy Signal triangle.
Default: 25
Upper Line (Overbought) (ll)
Description: This sets the threshold for the overbought condition. When the %K line is above this value, the dashboard will show "OVERBOUGHT". It is also the level the %K line must cross below to trigger a Sell Signal triangle.
Default: 75
Dashboard Settings
This group controls the data and appearance of the multi-timeframe table.
Timeframe 1 (tf1)
Description: The first timeframe to be displayed in the dashboard.
Default: 5 (5 minutes)
Timeframe 2 (tf2)
Description: The second timeframe to be displayed in the dashboard.
Default: 15 (15 minutes)
Timeframe 3 (tf3)
Description: The third timeframe to be displayed in the dashboard.
Default: 60 (1 hour)
Dashboard Position (table_pos)
Description: Allows you to select where the dashboard table will appear on your chart.
Options: top_right, top_left, bottom_right, bottom_left
Default: bottom_right
4. How to Use & Interpret
Configuration: Adjust the Stochastic Settings to match your trading strategy. The default values (9, 3, 6) are common, but feel free to experiment. Set the Dashboard Settings to the timeframes that are most relevant to your analysis (e.g., your entry timeframe, a medium-term timeframe, and a long-term trend timeframe).
Analysis with the Dashboard: The primary strength of this tool is confluence. Look for situations where multiple timeframes align. For example:
If the dashboard shows OVERSOLD on the 15-minute, 60-minute, and your current 5-minute chart, a subsequent Buy Signal on your 5-minute chart may carry more weight.
Conversely, if your 5-minute chart shows OVERSOLD but the 60-minute chart is strongly OVERBOUGHT, it could indicate that you are looking at a minor pullback in a larger downtrend.
Interpreting States:
Overbought is not an automatic "sell" signal. It simply means momentum has been strong to the upside, and the price is near its recent peak. It could signal a potential reversal, but the price can also remain overbought for extended periods in a strong uptrend.
Oversold is not an automatic "buy" signal. It means momentum has been strong to the downside. While it can signal a potential bounce, prices can remain oversold for a long time in a strong downtrend.
Use the signals and dashboard states as a source of information to complement your overall trading strategy, which should include other forms of analysis such as price action, support/resistance levels, or other indicators.
RSI MTF HWThis Pine Script indicator is designed to provide a comprehensive view of market momentum by plotting the Relative Strength Index (RSI) from four different time frames simultaneously on a single chart. This allows traders to quickly identify alignment or divergence in momentum across various time horizons, which can be a powerful tool for confirming trade setups or spotting potential trend reversals.
Key Features:
Customizable Inputs: The indicator provides a flexible set of user inputs, including a dropdown menu to select the data source for the RSI calculation (e.g., close, open, high, low). You can also define four separate RSI lengths to analyze different periods.
Multi-Time Frame Analysis: A key feature is the ability to choose a time frame for each of the four RSI lines from a predefined list (Chart, 1 day, 1 week, 1 month). The script uses the request.security() function with lookahead enabled to ensure the most accurate, real-time data is used for each calculation, eliminating look-ahead bias and calculation errors.
Visual Levels: The indicator plots standard RSI levels at 30, 50, and 70, with a shaded background between the oversold (30) and overbought (70) zones to provide a clear visual reference.
Momentum Alignment Signals: The script includes an optional feature that highlights the chart's background with a red or green color when all four RSIs simultaneously enter an overbought or oversold state. This serves as an immediate visual alert for a strong, multi-time frame momentum condition.
This indicator is a robust tool for technical analysis, suitable for traders who use a top-down approach to their market analysis.
EMA PRO (2–3 optional, VIPIN MTF + Alerts)This indicator plots up to 3 customizable EMAs with multi-timeframe support and alerts.
Features:
• Up to 3 EMAs (fully optional – show/hide individually)
• Custom length, timeframe, color, and line width for each EMA
• EMA1–EMA2 cloud fill with trend bias coloring
• Optional bar coloring based on EMA1 vs EMA2
• Alerts included for:
– Price crossing above/below EMA1
– EMA1 crossing above/below EMA2
How to Use:
• Scalping (1m–5m): EMA20 + EMA50, EMA200 for higher trend
• Intraday (15m–1H): EMA21 + EMA50 + EMA200
• Swing (4H–1D): EMA50 + EMA200
• Cloud turns green = bullish bias, red = bearish bias
• Use confluence with structure (BOS, CHoCH, OB/FVG) for best entries
⚠️ Disclaimer: This script is for educational and informational purposes only.
It is not financial advice. Always do your own research and practice proper risk management before trading.
ETH/SOL 1D Dynamic Trend Core - Indicator v46🚀 Dynamic Trend Core
The Dynamic Trend Core is a sophisticated, multi-layer trading engine designed to identify high-probability, trend-following opportunities. It offers both a quantitative backtesting engine and a rich, intuitive visual interface.
Its core philosophy is simple: confirmation. The system seeks to filter out market noise by requiring a confluence of conditions—trend, momentum, price action, and volume—to be in alignment before a signal is considered valid.
⚙️ Core Logic Components
Primary Trend Analysis (SAMA): The foundation is a Self-Adjusting Moving Average (SAMA) that determines the underlying market trend (Bullish, Bearish, or Consolidation).
Confirmation & Momentum: Signals are confirmed with a blend of the Natural Market Slope and a Cyclic RSI to ensure momentum aligns with the primary trend.
Advanced Filtering Layers: A suite of optional filters allows for robust customization:
Volume & ADX: Ensure sufficient market participation and trend strength.
Market Regime: Uses the total crypto market cap to gauge broad market health.
Multi-Timeframe (MTF): Aligns signals with the dominant weekly trend.
BTC Cycle Analysis: Uses Halving or Mayer Multiple models to position trades within historical macro cycles.
Delta Zones: An additional filter to confirm signals with recent buy or sell pressure detected in candle wicks.
📊 The On-Chart Command Center
The strategy's real power comes from its on-chart visual feedback system, which provides full transparency into the engine's decision-making process.
Note: For the dashboard to update in real-time, you must enable "Recalculate on every tick" in the script's settings.
Power Core Gauge: Located at the bottom-center, this gauge is the heart of the system. It displays the number of active filter conditions met (e.g., 6/7) and "powers up" by glowing brightly as a signal becomes fully confirmed.
Live Conditions Panel: In the bottom-right corner, this panel acts as a detailed pre-flight checklist. It shows the real-time status of every single filter, helping you understand exactly why a trade is (or is not) being triggered.
Energized Trendline: The main SAMA trendline changes color and brightness based on the strength and direction of the trend, providing immediate visual context.
Halving Cycle Visualization: An optional visual guide to the phases of the Bitcoin halving cycle.
Delta Zone Pressure Boxes: A visual guide that draws boxes around candles exhibiting significant buying or selling pressure.
🛠️ How to Use
Operation Mode: "Alerts-Only Mode" for generating live signals.
Configure Strategy: Start with the default filters. If a potential trade setup is missed, check the Live Conditions Panel to see exactly which filter blocked the signal. Adjust the filters to suit your specific asset and timeframe.
Manage Risk: Adjust the Risk & Exit settings to match your personal risk tolerance.
BTC Dynamic Trend Core - Indicator v46🚀 Dynamic Trend Core
The Dynamic Trend Core is a sophisticated, multi-layer trading engine designed to identify high-probability, trend-following opportunities. It offers both a quantitative backtesting engine and a rich, intuitive visual interface.
Its core philosophy is simple: confirmation. The system seeks to filter out market noise by requiring a confluence of conditions—trend, momentum, price action, and volume—to be in alignment before a signal is considered valid.
⚙️ Core Logic Components
Primary Trend Analysis (SAMA): The foundation is a Self-Adjusting Moving Average (SAMA) that determines the underlying market trend (Bullish, Bearish, or Consolidation).
Confirmation & Momentum: Signals are confirmed with a blend of the Natural Market Slope and a Cyclic RSI to ensure momentum aligns with the primary trend.
Advanced Filtering Layers: A suite of optional filters allows for robust customization:
Volume & ADX: Ensure sufficient market participation and trend strength.
Market Regime: Uses the total crypto market cap to gauge broad market health.
Multi-Timeframe (MTF): Aligns signals with the dominant weekly trend.
BTC Cycle Analysis: Uses Halving or Mayer Multiple models to position trades within historical macro cycles.
Delta Zones: An additional filter to confirm signals with recent buy or sell pressure detected in candle wicks.
📊 The On-Chart Command Center
The strategy's real power comes from its on-chart visual feedback system, which provides full transparency into the engine's decision-making process.
Note: For the dashboard to update in real-time, you must enable "Recalculate on every tick" in the script's settings.
Power Core Gauge: Located at the bottom-center, this gauge is the heart of the system. It displays the number of active filter conditions met (e.g., 6/7) and "powers up" by glowing brightly as a signal becomes fully confirmed.
Live Conditions Panel: In the bottom-right corner, this panel acts as a detailed pre-flight checklist. It shows the real-time status of every single filter, helping you understand exactly why a trade is (or is not) being triggered.
Energized Trendline: The main SAMA trendline changes color and brightness based on the strength and direction of the trend, providing immediate visual context.
Halving Cycle Visualization: An optional visual guide to the phases of the Bitcoin halving cycle.
Delta Zone Pressure Boxes: A visual guide that draws boxes around candles exhibiting significant buying or selling pressure.
🛠️ How to Use
Indicator version of BTC DTC Strategy: "Alerts-Only Mode" for generating live signals.
Configure Strategy: Start with the default filters. If a potential trade setup is missed, check the Live Conditions Panel to see exactly which filter blocked the signal. Adjust the filters to suit your specific asset and timeframe.
Manage Risk: Adjust the Risk & Exit settings to match your personal risk tolerance.
EMA Vision – MTF InsightEMA Calculation Timeframe: Compute the EMA on any timeframe (e.g. Chart, 1H, 4H, 1D) while viewing on your chart’s timeframe.
Confirmed or “Developing” EMA: Choose between plotting EMA values only after the higher timeframe bar closes (no repaint) or allowing real-time updates mid-bar, mirroring the “Wait for timeframe closes” behavior.
Clean Multi-TF Overlays: Visualize EMAs from up to three higher timeframes (1H, 4H, 1D) on any chart—each using native plots to stay anchored and accurate, just like built-in EMAs.
Optional Visual Smoothing Line: Add a secondary “smoothing” MA line (using SMA, EMA, SMMA, WMA, or VWMA) without altering the core EMA—keeps you visually aligned with built-in styling.
Superior Accuracy: No repainting, no misalignment—just clean EMA values that reflect exactly what you’d see in TradingView’s standard EMA with the same settings.
Fractals + FVG [Combined]Звісно, ось варіант опису англійською, який можна використати для публікації індикатора в TradingView.
Description
This script combines two powerful and widely-used trading concepts into a single, comprehensive indicator: Bill Williams Fractals with dynamic support/resistance lines and Fair Value Gaps (FVG) based on the popular logic from LuxAlgo.
The goal is to provide a cleaner chart by merging two essential tools, allowing traders to analyze market structure and imbalances simultaneously.
Features
1. Williams Fractals with Invalidation Lines
This part of the indicator identifies classic Bill Williams fractals and enhances them with a unique visualization feature.
Fractal Detection: Automatically identifies both bullish (bottom) and bearish (top) fractals. You can choose between a 3-bar or 5-bar pattern in the settings.
Dynamic S/R Lines: A horizontal line is automatically drawn from every confirmed fractal, acting as a potential support or resistance level.
Automatic Invalidation: A line is considered "invalidated" or breached when the body of a candle closes past it. When this happens, the line stops extending, changes its color to the "invalidated" color, and remains on the chart as a historical reference. This provides a clear, objective signal that a level has been broken.
Customization: You can fully customize the colors for the support, resistance, and invalidated lines to match your chart theme.
2. Fair Value Gaps (FVG) / Imbalance
This module incorporates the robust FVG detection logic from LuxAlgo to automatically identify and display market imbalances.
FVG Detection: Highlights bullish and bearish Fair Value Gaps on the chart with colored boxes, representing inefficiencies in price delivery.
Automatic Mitigation: The FVG boxes are automatically removed from the chart once the price has "mitigated" or filled the gap, keeping your workspace clean and focused on active imbalances.
Multi-Timeframe (MTF): You can set the indicator to find and display FVGs from a higher timeframe directly on your current chart.
Dashboard: An optional on-screen dashboard provides a quick summary of the total count of bullish/bearish FVGs and the percentage that have been mitigated.
Full Customization: Control the colors of FVG boxes, extend their length, and configure other visual style settings.
How to Use
Fractal Lines: Use the active support and resistance lines as key levels for potential bounces or breaks. A line's invalidation can serve as confirmation of a shift in market structure.
FVG Zones: Fair Value Gaps often act as "magnets" for price. Use these zones as potential targets for your trades or as areas of interest for entries when price retraces to fill the imbalance.
Combined Strategy: The true power of this indicator comes from combining both concepts. For example, a bullish FVG forming near a key fractal support level can create a high-probability confluence zone for a long entry. Similarly, a break and invalidation of a fractal resistance line might signal that price is heading towards the next bearish FVG above.
This indicator is a tool for analysis and should be used in conjunction with your own trading strategy and risk management rules.
DMI MTF Color Table v5DMI Multi-Timeframe Color Table v5
A comprehensive DMI (Directional Movement Index) table that displays trend direction and strength across multiple timeframes simultaneously. This indicator helps traders quickly assess market conditions and identify confluence across different time horizons.
Features:
Multi-timeframe analysis (7 configurable timeframes)
Color-coded cells based on trend strength and direction
Real-time current market condition display
Customizable strength thresholds and color schemes
Multiple display modes (All, DI+ Only, DI- Only, ADX Only)
Text-based strength classifications (STRONG/MEDIUM/WEAK)
Directional bias indicators (BULL/BEAR)
How It Works:
The table shows DI+, DI-, and ADX values across your chosen timeframes with intelligent color coding:
Green shades indicate bullish momentum (DI+ > DI-)
Red shades indicate bearish momentum (DI- > DI+)
Color intensity reflects trend strength based on ADX values
Current market condition appears in top-right corner
Display Options:
Toggle numerical values, strength text, and timeframe labels
Adjustable table size and transparency
Customizable color schemes for all conditions
Optional current timeframe DMI plot overlay
Educational Use:
This tool is designed for educational purposes to help understand multi-timeframe analysis and DMI interpretation. All trading decisions should be based on your own analysis and risk management.
Credits:
Original concept and development by Profitgang. If you use or modify this script, please provide appropriate credit to the original author.
Note: This indicator is for analysis purposes only. Past performance does not guarantee future results. Always conduct your own research and consider your risk tolerance before making trading decisions.
HTF POC with Zones & AlertsPlots a Point of Control (POC) per candle from a timeframe you choose (MTF). Because TradingView doesn’t expose true footprint data, the POC here is a proxy (choose: Body Mid, Range Mid, or Typical Price HLC3). The script draws the POC line and an optional POC zone (±% of that candle’s range), then alerts when price retests the zone (wick touches count).
Use it to:
Mark key levels inside candles that often act as magnets or reaction zones
Track retests of strong bars (imbalance) across higher timeframes
Add clean confluence with S/R, FVGs, or trend tools
Features: Selectable TF, zone width, extend lines/zones, historical caps, alerts, and info panel.
Note: This is an estimate of POC from OHLC, not real bid/ask volume. Use as context, not a standalone signal.
MSS BoxesWhat it is
The MSS Boxes indicator finds Market Structure Shifts (a decisive break in structure with displacement) and draws actionable zones (“boxes”) from the candle that caused the shift. Those boxes then act as mitigation / continuation areas for the rest of the session (or until they’re invalidated). It’s designed to be clean, non-repainting, and to work as a confluence layer with your SD and ATR Trigger grids.
What you’ll see on the chart
Green boxes for bullish MSS (demand); red boxes for bearish MSS (supply).
A compact label at the box origin (e.g., BOS↑ / BOS↓, or CHOCH) with the time-frame tag if you enable MTF.
Optional status badge on the right edge:
active (untouched), mitigated (tapped and respected), invalid (closed through), expired.
Clean behavior: once a box is printed it does not slide; coordinates are fixed to the confirmed signal candle.
Inputs (quick guide)
Swing detection
Swing length (for swing highs/lows), lookback for break validity, strict wick rule on/off.
Displacement factor (0 = off; typical 1.2–2.0).
Box recipe
Use full wick vs. use body for top/bottom.
Minimum box height (ticks), auto-merge overlapping (joins adjacent boxes of the same side).
Max lifetime (bars), session reset (e.g., clear on NY 18:00).
MTF alignment
Toggle H1 / M15 filters; choose “Plot only when aligned” vs “Plot all but alert only when aligned.”
Visuals
Fill/outline colors, opacity, label size, extend style (full-width vs to last bar).
BIASBias — MTF Market Structure
What it does
Bias determines bullish/bearish bias from a higher timeframe (HTF) market structure and shows BOS/CHOCH events in a minimal, uncluttered way. When a BOS/CHOCH is confirmed, the script draws a single horizontal line at the broken swing that extends to the right and stops automatically once price invalidates it. Background shading reflects the current bias.
Why it’s different (Minimal Clean)
No boxes or noisy fills — just clean horizontal continuation lines and small optional labels.
Pivot-based structure on your chosen HTF; lines update only when swings are confirmed.
Built-in anti-clutter controls (limit number of active lines).
Optional conservative confirmation (wait for HTF close).
How Bias is determined (BOS/CHOCH logic)
On the selected HTF, the script detects swing highs/lows using Pivot Left / Right.
New swings are filtered by Min Swing Distance (%) so tiny wiggles are ignored.
A breakUp occurs when price crosses the latest HTF swing high; a breakDown when it crosses the latest swing low (by Close or Wick, per your setting).
Event classification:
BOS (Break of Structure): break in the same direction as the current bias (trend continuation).
CHOCH (Change of Character): break in the opposite direction (trend change).
After a break, bias flips/updates (Bullish after breakUp, Bearish after breakDown). A thin horizontal line is drawn from that level, extending until price invalidates it in the opposite direction.
Inputs & Settings (what to tweak)
Basis Timeframe (HTF) – the timeframe used to build structure (e.g., 1H, 4H, 1D).
Pivot Left / Right – swing sensitivity (higher = cleaner, slower).
Confirm Break by Close – if ON, require close beyond the level; if OFF, wick is enough.
Wait for HTF Close – confirms only after the HTF candle closes (safer, later).
Min Swing Distance (%) – minimum percent distance vs. previous swing to accept a new swing.
Show Bias Background – soft background shading of current bias.
Show BOS/CHOCH Labels – small tags on the break candle (optional).
Max Active Level Lines – caps how many horizontal lines are kept on the chart (default 8).
Line Width – thickness of the horizontal lines.
Colors
Bull continuation lines/labels use a teal theme; Bear uses orange. You can adjust in code if desired.
How to use (quick start)
Add to any chart and keep your trading timeframe as you like (e.g., 5m, 15m, 1H).
Set HTF to the structure frame you trust (e.g., 1H for intraday, 4H/D for swing).
For a cleaner map, raise Pivot Left/Right (e.g., 4–6) and Min Swing Distance (e.g., 0.5–1%).
Choose break confirmation:
Want early signals? leave Confirm by Close ON and Wait for HTF Close OFF.
Want stronger signals? turn Wait for HTF Close ON.
Read the chart:
Background = current Bias (Bullish or Bearish).
Each BOS/CHOCH prints a short label and a horizontal line that extends to the right until price invalidates it.
Use the lines as clean reference for structure and for where bias last changed/continued.
Reduce clutter by lowering Max Active Level Lines (e.g., 5–8) or turning labels off.
Multi-HTF tip: Add two instances — e.g., HTF=4H for strategic bias and HTF=1H for tactical entries. Keep labels ON only on the tactical one for simplicity.
Alerts
The script provides ready-made alert conditions (constant strings per Pine v6 rules):
BOS Bullish
BOS Bearish
CHOCH Bullish
CHOCH Bearish
Bias Flip → Bullish
Bias Flip → Bearish
Create an alert on the indicator and choose the condition you want.
Notes & Limitations
Swings use pivots; a pivot only finalizes after pR bars, so signals don’t repaint forward once the HTF pivot is confirmed.
If Wait for HTF Close is OFF, intrabar spikes can trigger earlier (faster but less strict).
As with any tool, this is not financial advice and should be combined with your own risk management.
Recommended presets
Intraday: HTF = 1H, pL/pR = 4/4, Min Swing % = 0.6–1.0, Confirm by Close = ON, Wait HTF Close = OFF, Max Lines = 6–8.
Swing: HTF = 4H or 1D, pL/pR = 5–6, Min Swing % = 1.0–2.0, Confirm by Close = ON, Wait HTF Close = ON, Max Lines = 5.
[AlbaTherium] Wabi-Sabi Wyckoff Flow Structure Map MTF[1.0.42] Wabi-Sabi Wyckoff Flow Structure Map
Master the Hidden Geometry of Market Campaigns – Accumulation, Distribution, and the Laws That Govern Them
Introduction
The Wabi-Sabi Wyckoff Flow Structure Map is a software-engineered analytical framework that visualizes the flow of institutional market behavior through the lens of the Wyckoff Method. This tool automates the detection of trading ranges, maps the phases of accumulation/distribution, and extrapolates price objectives .
The Wabi-Sabi Wyckoff Flow Structure Map is a meticulous implementation of the principles of Richard D. Wyckoff , interpreted through the lens of market structure and volume dynamics. This tool aims to identify, contextualize, and map out accumulation and distribution zones by interpreting the composite operator's intended path in financial markets.
It is not merely an indicator-it is a structural compass, guiding you through the architecture of smart money campaigns.
Chapter 1: The Architecture of Market Campaigns
1.1 From Noise to Narrative
Markets do not move randomly. They are orchestrated campaigns-methodically executed by informed operators. The identifies these campaigns as they unfold across:
Accumulation
Markup
Distribution
Markdown
Each is grounded in Wyckoff’s structural logic and revealed in real time.
1.2 Who Is the Composite Operator, Composite Man?
The Composite Operator (CO), Composite Man (CM) represents dominant market participants-institutions with the capacity to engineer price movement. By dissecting trading ranges, the script deciphers their behavior through:
Event-based mapping (SC, ST, Spring, AR, UTAD, etc.)
Phase progression (Phase A to E)
PnF-based directional forecasting
The CO leaves footprints. This script reads them.
Chapter 2: Wyckoff’s Core Laws, Brought to Life
2.1 The Law of Supply and Demand
Every price bar reflects this law. The tool highlights where supply is absorbed and demand emerges, revealing the true balance of power behind the chart.
2.2 The Law of Cause and Effect
Accumulation and distribution ranges are not noise-they are preparation. By measuring their width, the script calculates PnF-based targets for the post-breakout phase, offering traders quantified projections rooted in structure.
2.3 The Law of Effort vs. Result
Effort = volume.
Result = price movement.
Discrepancies between the two-expose market turning points.
This script captures those moments within Wyckoff's structural context, not isolated volume spikes.
Chapter 3: Real-Time Interpretation of Trading Ranges
3.1 Automatic Schematic Mapping
The tool auto-generates Wyckoff structures:
Detects and maps Trading Ranges dynamically
Labels Wyckoff events (SC, ST, AR, Spring, UT, LPS, etc.)
Identifies current phase (Phase B, C, D, E) via real-time bias detection
3.1.1.Core Components
a. Structural Framing
The script autonomously detects the boundaries of a trading range (TR), guided by pivot highs and lows derived from Volume Spread Analysis (VSA) dynamics and price behavior.
b. Automatic Rally (AR) & Selling Climax (SC)
These foundational events are systematically computed and highlighted using volume-weighted price interaction. The Selling Climax defines the lower bound of the TR, while the Automatic Rally sets the resistance zone.
c. Secondary Tests (ST)
The algorithm traces the STs to validate demand/supply balance and the structural integrity of the TR. These are tagged with precision to avoid false positives.
d. Spring / Upthrust Actions
Wyckoffian springs and upthrusts are flagged using deviations below support (spring) or above resistance (upthrust) coupled with volume exhaustion or climax events.
e. Creek & Ice Visualization
Inspired by Wyckoff’s narrative metaphor, the script maps the 'Creek' (High of the Range flow) and 'Ice' (Low of the Range flow), guiding the observer through breakout or breakdown conditions.
f. Sign of Strength (SOS) / Sign of Weakness (SOW)
These turning points are confirmed via expansion in spread and volume. SOS is a bullish confirmation of accumulation resolution, while SOW indicates bearish continuation.
g. LPS & LPSY
The Last Point of Support (LPS) and Last Point of Supply (LPSY) are precisely mapped post-confirmation of breakout or breakdown. Their presence strengthens the bias of the ongoing structural phase.
h. Phase Annotation
Each zone within the TR is annotated based on Wyckoff’s five-phase logic (A to E). This includes climactic action in Phase A, testing in Phase B, spring/UTAD in Phase C, confirmation in Phase D, and exit in Phase E.
3.2 Multi-Timeframe Tracking
Observe the interplay of nested structures across several timeframes. Whether you’re tracking a micro accumulation on 1-min or macro distribution on the 1H, the script integrates both for a full-spectrum view.
3.3 Point-and-Figure Price Targeting
Using Wyckoff’s Law of Cause and Effect, the tool projects price targets based on the range width. Outputs are displayed directly on the chart, aiding in:
Profit-taking zones
Invalidations
R/R planning with structure-based confidence
Chapter 4: Applying Like a Wyckoffian
4.1 Configuration Best Practices
Timeframes: 1–5min for tactical intraday, 15min–4H for swing campaigns
Detection Radius: Control how deep the script searches for structural pivots
Modes: Choose between Delta (volume shifts) and Normal (price formations)
4.2 Dashboard & Event Tracker
The Bias Dashboard displays:
The current dominant phase (e.g. “Phase C Test” or “Late Phase D”)
Key events (AR, ST, Spring, LPS)
Whether current price action supports a continuation or Climax
4.3 Alerts and Customization
Configure alerts to monitor:
New TR detection across up to 6 timeframes
Key structural events like Spring, UTAD, or SOS
Completion of cause zones with target projection triggered
Chapter 5: Use Cases and Strategic Implementation
5.1 Spotting Reversals Before the Breakout
Use the script to:
Enter near Springs (accumulation) or UTADs (distribution)
Identify retests as Last Points of Support/Resistance
Confirm or invalidate breakout attempts using the schematic context
5.2 Confirming Institutional Engagement
Recognize institutional footprints through:
Multiple STs (Testing for supply)
Strong SOS, SOW / LPS combinations
Absence of follow-through = Absorption
The Flow Map helps distinguish retail chase from professional intent.
Conclusion
The Wabi-Sabi Wyckoff Flow Structure Map is an elite market structure decoder for traders who operate on logic, not emotion. Grounded in Wyckoff’s time-tested methodology and enhanced with modern automation, it transforms the invisible structure of price action into a readable, tradeable roadmap.
“Structure precedes movement. Those who read structure, anticipate motion. Those who chase motion, miss the meaning .
”
- A Wyckoffian Principle
This tool is for traders who understand that preparation is where profits are born-not during the move, but before it."
