mehja,atops and bottoms
This indicator shows a break of the peak and a pullback if the trend was upward and the path changed to downward, along with an indication of the targets, and the opposite in a downward trend.
Wellenanalyse
NHadou-solo# NHadou-solo — Candle-based Wave Structure Indicator
NHadou-solo is a wave-structure visualization indicator that draws swing lines based on
candle-by-candle price behavior. Unlike typical ZigZag-style indicators that rely on a fixed
percentage threshold to determine swing points, NHadou-solo uses a unique algorithm that
evaluates the relationship between consecutive candles to identify trend continuation and
reversal.
This approach produces wave structures that differ from ZigZag logic and provides a more
granular view of how price swings evolve in real time.
---
## ■ Core Logic (Conceptual Overview)
### ● Unique Algorithm (Different from ZigZag)
- Instead of using percentage-based price deviation, the indicator directly compares the
highs and lows of consecutive candles to determine swing direction.
### ● Candle-by-Candle Reversal Detection
- During an up wave: the wave continues until a candle prints a lower low than the previous low.
- During a down wave: the wave continues until a candle prints a higher high than the previous high.
### ● Handling Inside Bars (Harami)
- When price forms an inside bar, the direction is not confirmed.
- The indicator waits for a breakout before drawing the next segment, reducing noise.
### ● Provisional (Unconfirmed) Wave Lines
- When a potential reversal or a break of a key high/low occurs, a provisional line is drawn.
- This helps visualize possible turning points before they are fully confirmed.
---
## ■ How to Use
- The wave lines represent the current swing direction and potential reversal zones.
- Provisional lines indicate early signs of momentum change.
- Useful for identifying trend continuation, reversals, and swing structure in both trending
and ranging markets.
---
## ■ Notes
- This indicator is provided for educational purposes only and does not constitute financial advice.
----------
NHadou-solo は、ローソク足ごとの価格構造をもとに波動線を描画する、独自ロジックの波動可視化インジケータです。
一般的な ZigZag 系インジケータは、一定の価格変動率 を基準に転換点を描画しますが、
NHadou-solo はローソク足の前後関係を直接比較して波動転換を判定するため、
ZigZag とは異なるアルゴリズムで波動構造を抽出します。
---
## ■ ロジック概要(概念レベル)
### ● ZigZag とは異なる独自アルゴリズム
- 価格変動率ではなく、ローソク足の高値・安値の更新状況を直接比較して判定します。
### ● ローソク足ごとの転換点判定
- 上昇中:安値が前回安値を下回るまで上昇波を継続
- 下降中:高値が前回高値を上回るまで下降波を継続
### ● 含み足・はらみ足の処理
- 方向が確定するまで波を描画せず、ノイズを抑えた波動構造を形成します。
### ● 未確定足(仮線)
- 反転の可能性がある場面や主要高値・安値のブレイク時には仮線を描画し、
波動の“候補”を視覚的に把握できるようにしています。
---
## ■ 使い方
- 波動線は現在の方向性と転換候補を視覚化します。
- 仮線は「反転の可能性」を示すため、確定波との違いを見ながら判断します。
- トレンドの継続・転換、押し目・戻り目の把握に活用できます。
---
## ■ 注意事項
- 本インジケータは教育目的で提供されており、特定の売買を推奨するものではありません。
deKoder | Structural Flow [SF]deKoder | SF | Structural Flow - Swing/Pivot Structure Charting
Strips away the noise of standard candlestick charts and reveals the true underlying swing structure through clean, connected pivot lines.
Beneath the storm of wicks / Silent structure whispers truth
Extreme Noise Reduction
Replaces cluttered price action with a minimalist pivot based line chart. The user-defined Window length lets you control sensitivity: shorter for more detail on lower timeframes, longer for cleaner structure on higher timeframes.
Accurate Swing Detection
Only stronger pivots are accepted. Weaker same side pivots are ignored, preserving the true extreme highs and lows without distortion.
Real Time Extension
The final incomplete leg dynamically follows the current close until the next confirmed pivot forms.
Optional Directional Colouring
Enable Directional Colouring to automatically colour confirmed legs with the user defined bull and bear colours on upward and downward swings.
Adjustable Background Candles
Candles with adjustable transparency may be displayed on the chart. Adjust the visibility setting to find the perfect balance between full raw candle data and clean structure
Practical Uses
Instantly reveals classic chart patterns — head & shoulders, double tops/bottoms, triangles, flags with unmistakable clarity
Becomes simple to spot Wyckoff springs, upthrusts, and phase transitions inside trading ranges
Provides a clean foundation for manual Elliott Wave counting . Clear swing structure makes labeling impulses and corrections much easier
Makes trend changes and potential reversals stand out without second-guessing every wick
Excellent for higher-timeframe structural analysis — the longer window setting produces exceptionally clean swing views
Ideal for creating clean educational screenshots and annotated posts - the chart speaks for itself
Reduces emotional noise by shifting focus from every candle to meaningful swing structure
Well suited for swing and price action traders, Wyckoff and Elliott Wave analysis, and anyone who prefers calm, uncluttered charts over constant visual chaos.
Clean charts. Clear sight.
☠ FR33FA11 | deKoder ☠
Released January 2025 | Open Source
If this open-source script (or any of its free companions) has saved you time or helped you read the market better, a coffee or a few sats helps to keep the Pine coming ❤️
Solana: 2N8HWPAHSC7Z8SLyneMrZp234UAP9HCtQX7wNXw7LKQC
Ethereum: 0xE770D254DC579d1db7bA2fe74376b7009527356B
Bitcoin: bc1qd8j3awht5yrjtnvt5dagxldzhaesc83sftype3
Polygon: 0xE770D254DC579d1db7bA2fe74376b7009527356B
Hype: 0xE770D254DC579d1db7bA2fe74376b7009527356B
abderrahman Swing Signals This private indicator combines swing signals, overlays, trend tracing, and reversal zones.
It is an invite-only script and accessible only to authorized users.
LiveFinTech Indicator🚀 LiveFinTech Indicator – Precision Trend Trading System
Welcome to the LiveFinTech Indicator an institutional grade trading suite designed for precision trend identification and advanced risk management. Whether you are scalping Gold (XAUUSD), trading Indices (NIFTY/BANKNIFTY) Forex or Crypto this tool provides a clear, data driven edge.
💎 Key Professional Features:
✅ Non-Repainting Core
Signals are confirmed only after the candle closes. Once a +Smart Buy or +Smart Sell appears, it is fixed on the chart forever. No lagging, no disappearing signals.
✅ Multi Timeframe Trend Dashboard
Monitor the trend direction across all major timeframes (1m, 5m, 15m, 1H, 1D) simultaneously. Stay on the right side of the market without switching tabs.
✅ Dynamic Position Tracking Table
A built-in professional table at the bottom right that tracks your most recent trades, showing:
Entry Price
Closed Price (Target Hit Price)
Live Trade Status (Active, TP1 Hit, TP2 Hit, ALL TP Hits or SL Hit)
✅ Advanced Risk Management (Independent Targets)
Set your Stop Loss and Take Profit targets (TP1, TP2, TP3) using independent multipliers. Adjusting your Stop Loss won't affect your Profit targets, allowing for complete strategy customization.
✅ Institutional Visuals
Features a custom Trend Ribbon and Background Cloud logic to filter out market noise and identify high-probability entries.
✅ Smart Alert System
Get instant notifications on your mobile app or email for:
Confirmed Entry Signals
Target (TP) Reach notifications
Stop Loss (SL) triggers
📈 How to Use:
Timeframes: Optimized for 1-minute, 5-minute and 15-minute charts for intraday trading.
Alerts: Set alerts using the "Any alert() function call" condition for real-time updates.
🔒 Access & Security:
This is a Private Invite-Only script. The core logic is protected and obfuscated to ensure the highest level of intellectual property security.
For Access: Please contact us with your TradingView username.
Disclaimer: LiveFinTech Indicator is for educational and informational purposes only. Trading involves risk. Past performance does not guarantee future results. Please trade responsibly.
Price Action Strategy Screener 1&5 Min [TradingFinder]🔵 Introduction
Price action is the study of how price moves, reacts, and leaves information behind through structure, swings, and liquidity behavior. Instead of relying on indicator signals or mathematical outputs, price action focuses on reading market intent directly from price movement, especially around key swing highs and lows where liquidity is often targeted. Understanding repeated reactions, failed continuations, and stop hunts is essential for identifying high quality trading opportunities.
In this price action strategy, signals are not generated from a single breakout or liquidity grab. Price must sweep a swing level multiple times, form a new structural reference, and return again to hunt liquidity. This repeated sweep and reaction process filters out random volatility and highlights deliberate market behavior. When this sequence occurs near the upper band or lower band of a price band, the signal gains additional context by aligning with premium and discount zones.
Correlation plays a critical role in validating price action signals. Symbol pairs are first selected based on historically high correlation on the daily timeframe so that divergence becomes meaningful. When correlation weakens on the execution timeframe, situations emerge where one asset continues to make higher highs or lower lows while the correlated asset fails to confirm and remains near a key swing level. This correlation breakdown exposes inter market divergence and relative strength or weakness, reinforcing the price action narrative.
An RSI component is provided only as an optional confirmation tool. It does not participate in signal generation and does not influence the strategy logic. Traders may use RSI to evaluate momentum exhaustion divergence or overbought and oversold conditions, or ignore it entirely. The foundation of this approach remains price action driven, built on liquidity sweeps, structural interaction, correlation dynamics, and contextual price band positioning rather than indicator dependency.
⚠️ Note: This product works only on the 1m and 5m timeframes. Please switch your chart to one of these timeframes to use the indicator properly.
🔵 How to Use
A central pillar of this methodology is the emphasis on historically high correlation as a prerequisite for meaningful analysis. Correlation is not treated as a signal by itself, but as a contextual foundation that gives weight to divergence and disagreement. When two markets have demonstrated strong alignment over time, especially on higher timeframes such as the daily chart, any deviation from that relationship becomes informative. The strategy assumes that without prior correlation, divergence has little analytical value and may simply reflect unrelated market behavior.
By filtering symbol pairs based on strong long term correlation, the tool focuses only on situations where market alignment is expected. When that alignment weakens on the execution timeframe, price behavior gains additional significance. One symbol may continue to expand, break structure, or print new extremes, while the correlated symbol stalls, compresses, or fails to confirm. This breakdown highlights emerging relative strength or weakness and often precedes rotation, rebalancing, or corrective price action rather than clean continuation.
The practical application of this concept relies on selecting logically related markets. Examples include precious metals such as OANDA:XAUUSD and OANDA:XAGUSD , closely linked equity indices like CAPITALCOM:US100 and CAPITALCOM:US500 , highly correlated currency pairs within the same economic group such as OANDA:EURUSD and OANDA:GBPUSD , or crypto assets like COINBASE:BTCUSD and COINBASE:ETHUSD that often move in tandem. By anchoring analysis to these correlated pairs, the strategy avoids random comparisons and instead isolates moments where market disagreement reflects a genuine shift in participation, intent, or liquidity distribution.
🟣 Buy Setup
Buy scenarios are evaluated when price is positioned near the lower band and begins to show signs of downside fatigue. The market should demonstrate repeated probing below a reference low without sustained follow through, indicating sell side absorption. After several failed attempts to push lower, price often compresses, forms a reaction base, and starts to defend that area.
Confirmation comes from relative performance between correlated markets. While the primary symbol holds its ground, the secondary symbol may begin to stabilize or recover, showing that downside pressure is no longer synchronized. This decoupling suggests that bearish participation is weakening. Buy setups gain higher quality when price starts to rotate upward from the lower band while downside extensions continue to fail.
🟣 Sell Setup
Sell scenarios develop when price trades near the upper band and shows signs of upside exhaustion. Multiple extensions above a reference high followed by weak continuation often signal buy side consumption. Price may repeatedly spike higher but struggle to maintain acceptance, leaving behind rejection and compression near the same zone.
Cross market behavior plays a key role in validation. When one correlated asset continues to advance while the primary symbol fails to sustain new highs, the imbalance becomes visible. This lack of confirmation reflects diminishing demand and distribution rather than healthy expansion. Sell setups become higher probability when price stalls near the upper band, fails to hold premium levels, and correlated markets no longer move in alignment.
🔵 Setting
Signal Source Pair : This option defines which pair’s signals are displayed on the chart. The script calculates signals for six different symbol pairs simultaneously, but only one pair can be visualized on the chart at a time. By selecting Pair 1 through Pair 6, the user chooses which pair’s signal output is shown on the active symbol. For example, if Pair 4 is selected, only signals generated by Pair 4 will appear on the chart.
Table on Chart : This setting enables or disables the on chart screener table. When enabled, the table displays signal status, correlation information, and symbol data directly on the chart. When disabled, the chart remains clean with no table overlay.
Number of Symbols : This option controls how many symbol pairs are displayed in the screener table. Users can choose between four or six pairs depending on screen size and personal preference.
Table Size: This setting adjusts the visual scale of the screener table. Smaller sizes are suitable for minimal layouts, while larger sizes improve readability when monitoring multiple pairs simultaneously.
Table Mode : This setting offers two layout styles for the signal table.
Basic mode displays symbols in a single vertical column, using more vertical space and providing straightforward readability.
Extended mode arranges symbols in pairs side by side, optimizing screen space with a more compact and efficient layout.
Table Position : This option defines where the screener table is placed on the chart. The table can be positioned in any corner or central area to avoid overlapping with price action or other indicators.
Symbol 1 and Symbol 2 : These options define the two symbols that are evaluated together as a pair. Users should select symbols that have historically shown high correlation so that divergence and correlation breakdowns carry meaningful analytical value.
Signals are generated based on relative strength and weakness, behavioral divergence, and confirmation failure between the two symbols. For each pair, signals are displayed only for the symbol defined as the active output in the screener.
Confirmation Period : This setting controls the initial swing confirmation window. It defines how many bars are required for a swing structure to be considered valid before liquidity sweeps and reactions are evaluated. Higher values tend to produce stronger and more reliable swing structures while reducing signal frequency. Lower values respond faster but may include shorter term or less significant movements. This logic is applied identically across all six pairs, with each pair calculated independently.
RSI Setting : The RSI section is completely optional and is provided only for visual confirmation. It has no influence on signal generation or strategy logic.
Short RSI, Mid RSI, Long RSI : These options allow different RSI lengths to be displayed simultaneously. Short RSI reacts quickly to momentum changes, while Mid and Long RSI provide smoother and broader context. Each RSI length can be enabled or disabled independently.
Show RSI Levels : This option toggles the visibility of RSI reference levels.
Low Potential Zone : Highlights areas where momentum potential is relatively low.
Mid Potential Zone : Marks neutral or transitional momentum environments.
High Potential Zone : Highlights areas with higher momentum potential, often associated with expansion or exhaustion phases.
All RSI zones are purely visual and do not affect signal logic or calculations.
🔵 Conclusion
This price action strategy is built to highlight moments where market behavior shifts from participation to hesitation. By observing repeated tests of key areas, failed continuation, and loss of alignment between related markets, the approach helps traders focus on areas where risk becomes more defined and directional follow through becomes more selective. The combination of band location, multi stage interaction, and cross market confirmation allows users to filter noise and concentrate on scenarios where price is more likely reacting than accelerating.
Rather than offering fixed entries or automated decisions, this framework encourages discretion, contextual reading, and structured execution. It is most effective when used by traders who understand market phases, rotation, and imbalance, and who are willing to wait for price to reveal intent through behavior rather than speed. When applied with patience and proper risk management, the strategy provides a consistent way to evaluate quality over quantity in evolving market conditions.
Bezahltes Script
Trade with TreandThink of this script as a filter and a signal light for trading Gold. It helps you avoid trading in the wrong direction and tells you exactly when the price momentum is shifting.
The Three Main Parts
The Ultimate Trend (The Filter):
This is the big table in the top-right corner.
Bullish (Green): Only look for BUY signals.
Bearish (Red): Only look for SELL signals.
It uses a "300 SMA" (a long-term average) to make sure you aren't "swimming against the tide."
The Entry Signals (The Crossover):
The script watches two lines on your chart (a 20-period and a 10-period).
When they cross, it places a BUY or SELL label on your screen.
The 4 Alerts (The Notifications):
You don't have to stare at the screen all day.
You get a notification for Buy entries, Sell entries, or when the Main Trend flips from Bullish to Bearish (or vice versa).
Simple Rules for Trading
To be successful with this script, follow these four rules:
Rule 1: Check the Table. If it says "Bearish," ignore all "BUY" labels.
Rule 2: Wait for the Label. Only enter a trade when a "BUY" or "SELL" label appears and it matches the trend table.
Rule 3: Protect Your Money. Look at the last 5 candles. Put your Stop Loss just past the highest or lowest point of those candles.
Rule 4: Aim for the Target. Your profit target should be at least double the amount of money you are risking (Risk:Reward 1:2).
How to use the Settings
When you click the Settings icon on the script, you can change:
SMA Filter: Change the "300" if you want the trend to be faster or slower.
Trend Gap: Adjust how far the trailing line stays away from the price.
Swings P1 / P2 / P3Swing detection via ta.pivothigh/ta.pivotlow (len/len), so labels appear after pivot confirmation (len bars). P2 = swing high, P3 = swing low, P1 marks the prior pivot at trend transition (HH/HL → up, LL/LH → down). Optional ATR minimum leg-length filter.
ATR Reversal Wick ZigZag, Swing P2-P3 LabelsThis indicator plots a wick-based ZigZag where swing points are confirmed by a minimum counter-move (ATR multiple) and a minimum number of bars between swings. Confirmed swing highs are labeled P2, swing lows P3. Optional IDs, labels, and a trend-colored ZigZag line.
Wick-based ZigZag (High/Low wicks)
Swing confirmation via ATR reversal threshold + minimum bars between swings
Labels: P2 = confirmed swing high, P3 = confirmed swing low (optional IDs)
Optional ZigZag line colored by simple HH/HL vs LL/LH trend state
Note: potential swings can move until confirmed
Renko Brick Close Alert (Flexible TF)this indicator helps u to apply custom alert on renko chart and is flexible to any timeframe
Cyber Pips Wave & Momentum SuiteCyber Pips Wave & Momentum Suite is an oscillator-based analysis indicator that combines WaveTrend-style momentum with divergence highlighting and additional momentum context.
It includes:
• Oscillator lines with customizable overbought/oversold zones
• Optional cross-based markers for momentum shifts
• Regular and hidden divergence detection (with optional strength filtering)
• Trend and volume confirmation filters to reduce low-quality signals
• Informational momentum labels for context
Notes:
• Outputs can update on the currently forming candle.
• Any display offsets (if enabled) affect visualization only and do not predict future bars.
This script is provided for charting and educational purposes only. It does not provide financial advice or performance guarantees.
Moving Average Structure ZigZag [Stable & Filtered]
(日本語説明)
このインジケーターは、移動平均線(MA)の転換に基づき、相場の「真の構造」を可視化するために開発されました。 通常のZigZagのように価格の単純な反転に依存せず、「MAのトレンド転換 + 指定した値幅の到達」という2つの条件を用いることで、レンジ相場の細かなノイズ(ダマシ)を排除し、ダウ理論に基づいた重要な高値・安値だけを結びます。
💡 主な機能
MAタイプの切り替え: SMA, EMA, HMA, VW-HMAなど、目的に合わせたトレンド感度を選択可能。
値幅フィルター(Min Deviation): 添付画像のように、小さな値動きをカットし、大きな市場構造だけを抽出します。
価格アクションへの追従: ラインはMAの数値ではなく、期間内の実最高値・最安値を正確に結び、高値更新時には自動で延伸されます。
🛠 活用シーン
環境認識: 上位足での大きな波形を確認し、現在のフェーズを定義。
ノイズ除去: 市場の主要な節目(レジサポ候補)の特定。
ダウ理論の視覚化: 高値・安値の切り上がり・切り下がりを明確化。
(English Description)
This indicator was developed to visualize the "True Market Structure" based on Moving Average (MA) reversals. Unlike standard ZigZag which relies solely on price reversals, this tool combines MA Trend Reversals and a Minimum Deviation filter to eliminate market noise and highlight significant swing highs and lows based on Dow Theory.
💡 Key Features
Multiple MA Types: Select from SMA, EMA, HMA, VW-HMA, etc., to match your preferred trend sensitivity.
Min Deviation Filter: As shown in the attached image, it filters out minor price fluctuations to extract only the major market waves.
Price Action Tracking: The lines connect the actual High/Low prices within the period, not the MA values themselves. Lines automatically extend when a trend continues to new highs/lows.
🛠 Use Cases
Market Context: Identify major wave patterns on higher timeframes to define the current phase.
Noise Reduction: Pinpoint key market levels and potential support/resistance.
Dow Theory Visualization: Clearly visualize higher highs/lows and trend shifts.
Settings
MA Type: Choose the type of Moving Average.
Moving Average Length: The lookback period for structure.
Min Deviation (Pips): The threshold to filter noise. Adjust according to the volatility of the pair.
Wedge Pattern [Kodexius]Wedge Pattern is a chart-overlay indicator designed to detect and manage classic Rising Wedge (bearish) and Falling Wedge (bullish) structures using strict, rules-based validation. The script focuses on producing clean, tradable wedge prints by building both boundaries from confirmed pivot swings, enforcing a mandatory “no closes outside the wedge” condition during formation, and requiring the wedge apex to be projected into the future to avoid premature or distorted patterns.
This implementation is built for practical execution charts. It continuously updates the active wedge boundaries in real time, clearly labels the pattern type, and reacts decisively when price confirms a valid breakout. When enabled, it also projects a measured-move target derived from the wedge geometry, so the trader can quickly evaluate reward potential without manual projection.
The detection logic is intentionally conservative. Rather than printing every possible converging structure, it aims to identify wedges that respect structural integrity: multiple touches on each boundary, controlled price action inside the converging range, and a valid convergence point (apex) ahead of the current bar. The result is a wedge tool that prioritizes quality, readability, and consistent behavior across symbols and timeframes.
🔹 Features
🔸 Rising and Falling Wedge Detection (Trendline Based)
The indicator detects two wedge types by constructing an upper trendline from pivot highs and a lower trendline from pivot lows:
Rising Wedge (Bearish): both lines slope upward, and the lower line rises faster than the upper line, creating a tightening upward channel that typically resolves with a downside break.
Falling Wedge (Bullish): both lines slope downward, and the upper line falls faster than the lower line, producing a tightening downward channel that typically resolves with an upside break.
This slope relationship is the core wedge classifier. It ensures the script is not just drawing random converging lines, but explicitly requires the characteristic “compression” geometry that defines wedges.
🔸 Pivot-Confirmed Structure with User Control
Wedges are built from confirmed pivots using:
Pivot Left and Pivot Right inputs to control how “strict” a pivot must be.
Min. Touches per Line to enforce multiple confirmations on each boundary.
Standard technical analysis commonly requires at least three touches to validate a trendline. This script supports that workflow by requiring a minimum number of pivot points before a wedge is eligible for drawing.
🔸 Mandatory Integrity Rule: No Closes Outside the Boundaries
A key quality filter is applied before a wedge can be accepted:
During formation, no candle close is allowed outside the upper or lower boundary.
If any close is detected above the upper line or below the lower line (with tick tolerance), the candidate wedge is rejected. This prevents patterns that already “broke” before they were formally detected and reduces false positives caused by messy price action.
🔸 Apex Validation to Avoid Distorted Prints
The wedge apex (the projected intersection point of the two trendlines) must be in the future. This avoids degenerate cases where lines intersect behind current price, which often indicates the structure is not a valid wedge or is already past its useful phase.
🔸 Live Updating Boundaries for Active Patterns
Once a wedge becomes active, its upper and lower lines are extended forward bar by bar. The script recalculates the boundary price at the current bar index using the stored slope, then updates the line endpoints so the wedge remains visually accurate as time advances.
🔸 Breakout Engine with Directional Confirmation
The script differentiates between:
Correct breakout: the wedge breaks in the expected direction.
Rising wedge breaks downward (close below the lower boundary).
Falling wedge breaks upward (close above the upper boundary).
When this happens, the wedge is marked as broken and labeled as BREAKOUT on the chart.
🔸 Invalidation and Failure Handling
If price violates the wedge in the wrong direction, or if the wedge collapses into an impossible structure (upper boundary falls below or equals the lower boundary), the wedge is flagged as FAILED. This keeps signals honest and prevents lingering drawings that no longer represent a valid pattern.
🔸 Optional Target Projection (Measured Move)
When Show Target Projection is enabled, the script plots a dashed target line and a target label after a valid breakout. The target is computed as a measured move using the wedge height, projected from the breakout boundary in the breakout direction. This provides an immediate objective reference for potential continuation.
🔸 Clean Object Management and Chart Readability
To maintain clarity, the script manages the “active” wedge per type:
If a new wedge is detected while an older one is still active and not broken or failed, the old drawings are removed and replaced with the newer valid pattern.
This prevents chart clutter and keeps the display focused on the most relevant wedge structures.
🔹 Calculations
1) Pivot Collection
The script uses pivot functions to confirm swing points:
float ph = ta.pivothigh(high, INPUT_PIVOT_LEFT, INPUT_PIVOT_RIGHT)
float pl = ta.pivotlow(low, INPUT_PIVOT_LEFT, INPUT_PIVOT_RIGHT)
if not na(ph)
pivot_highs.push(Coordinate.new(bar_index - INPUT_PIVOT_RIGHT, ph))
if not na(pl)
pivot_lows.push(Coordinate.new(bar_index - INPUT_PIVOT_RIGHT, pl))
Each pivot is stored as a Coordinate containing:
index: the bar index where the pivot is confirmed
price: the pivot high or pivot low value
The arrays are capped (for example, last 20 pivots) to control memory and keep selection relevant.
2) Trendline Construction and Slope
A wedge candidate uses the earliest and latest required pivot points for each line. For each boundary, slope is computed as:
method calc_slope(Trendline this) =>
(this.end.price - this.start.price) / (this.end.index - this.start.index)
With slope known, the trendline value at any bar index is:
method get_price_at(Trendline this, int bar_idx) =>
this.start.price + this.slope * (bar_idx - this.start.index)
This approach allows the script to update wedge boundaries consistently without re-fitting lines on every bar.
3) Wedge Type Classification (Geometry Rules)
After both slopes are calculated, wedge type is determined by slope direction and relative steepness:
Rising wedge requires both slopes positive and lower slope greater than upper slope.
Falling wedge requires both slopes negative and upper slope more negative than lower slope (upper line falls faster).
In code logic:
if tl_up.slope > 0 and tl_lo.slope > 0 and tl_lo.slope > tl_up.slope
w_type := 1 // Rising
if tl_up.slope < 0 and tl_lo.slope < 0 and tl_up.slope < tl_lo.slope
w_type := 2 // Falling
This enforces converging boundaries and avoids simple parallel channels.
4) Apex Projection (Trendline Intersection)
The apex is the projected intersection x-coordinate of the two trendlines:
method get_apex_index(Wedge this) =>
float m1 = this.upper.slope
float m2 = this.lower.slope
float y1 = this.upper.start.price
float y2 = this.lower.start.price
int x1 = this.upper.start.index
int x2 = this.lower.start.index
float apex_x = (y2 - y1 + m1 * x1 - m2 * x2) / (m1 - m2)
math.round(apex_x)
Validation requires:
apex_idx > bar_index (apex must be in the future)
This prevents late or structurally invalid wedges from being activated.
5) Mandatory “No Close Outside” Validation
Before activation, the script verifies the pattern has not been violated by candle closes:
method check_violation(Wedge this, int from_idx, int to_idx) =>
bool violated = false
for i = from_idx to to_idx
float up_p = this.upper.get_price_at(i)
float lo_p = this.lower.get_price_at(i)
float c_p = close
if c_p > up_p + syminfo.mintick or c_p < lo_p - syminfo.mintick
violated := true
break
violated
Interpretation:
For every bar from wedge start to current bar, the close must remain between the projected upper and lower boundary prices.
A tick tolerance (syminfo.mintick) is used to reduce micro false violations.
6) Live Update and Breakout Detection
Once active, lines are extended to the current bar and boundary prices are computed:
float u_p = w.upper.get_price_at(bar_index)
float l_p = w.lower.get_price_at(bar_index)
bool b_up = close > u_p
bool b_dn = close < l_p
Correct breakout conditions:
Rising wedge breakout: close below lower boundary.
Falling wedge breakout: close above upper boundary.
if (w.is_rising and b_dn) or (not w.is_rising and b_up)
w.is_broken := true
Invalidation rules include:
wrong-direction break
boundary crossover (upper <= lower)
7) Target Projection (Measured Move)
If target display is enabled, the script calculates wedge height and projects a target from the breakout side:
float m = math.abs(w.upper.start.price - w.lower.get_price_at(w.upper.start.index))
float t = w.is_rising ? l_p - m : u_p + m
Interpretation:
m represents the wedge height near the start of the formation.
t is the target price, projected in the breakout direction.
Rising wedge: target below the lower boundary.
Falling wedge: target above the upper boundary.
A dashed target line and label are then placed forward in time for readability.
Newton Pulse Pro AI Exclusive – Newton
Next-Generation Trend Intelligence & Smart Range Filtering
Introduction Newton is the newest powerhouse in the AI Exclusive series, specifically engineered to master trend dynamics. While most indicators fail during choppy, sideways markets, Newton uses advanced AI logic to distinguish between a true trending move and a high-risk range. It is designed for traders who value quality over quantity, providing signals only when the market has clear momentum.
Key Benefits
✅ Smart Range Filtering: Automatically detects sideways markets and remains silent to protect you from "choppy" price action.
✅ Pure Trend Following: Focuses exclusively on high-probability Buy and Sell entries within established trends.
✅ Noise Reduction: Eliminates false signals by ignoring minor price fluctuations that do not lead to real moves.
✅ Strategic Patience: Encourages disciplined trading by only appearing when the market conditions are optimal.
✅ Universal Application: Optimized for Forex, Crypto, Stocks, and Commodities.
General Specifications
Product Name: Newton (Powered by AI Exclusive)
Trading Style: Trend Following & Momentum
Signal Type: Non-Repaint (Signals are fixed once the candle closes)
Market Phase Detection: Intelligent Range/Trend differentiation
Visual Design: Clean, minimalist interface focused on entry execution
Individual Product Presentation: Newton (Trend Master)
Overview: An AI-driven indicator that specializes in identifying the "Law of Motion" in the market. It provides Buy/Sell signals only when a trend is confirmed, staying completely inactive during ranging phases to prevent capital erosion.
Benefits:
Avoids "Death by a Thousand Cuts" in sideways markets.
Provides clear, decisive entry points for Buy and Sell orders.
Simplifies the chart by removing unnecessary clutter and noise.
Features:
Proprietary Trend Logic: Analyzes market structure to ensure signals are backed by real volume and momentum.
Zero-Signal Range Mode: The indicator remains quiet when the market lacks a clear direction—one of its most powerful features.
Visual Precision: High-contrast labels and signals for instant decision-making.
Compatibility: Works seamlessly across all timeframes, from 1-minute scalping to weekly swing trading.
⚙️ Installation & Activation Guide
Secure Your License Purchase the Newton indicator or the full AI Exclusive Package through our official website.
Submit Your TradingView Details After purchase, send your TradingView email address to our support team for authorization.
Account Verification Our team will process your request and grant access to the proprietary script.
Activation & Use * Open TradingView.
Navigate to Indicators → Invite-Only Scripts.
Select AI Exclusive: Newton to apply it to your chart.
Pro Tip: When Newton is not showing signals, it is a signal in itself—it's telling you to stay on the sidelines and wait for a high-probability breakout.
High/Low ScalpingThis indicator is designed to identify reversal points at price extremums (Highs and Lows) over a specified lookback period. The algorithm combines ZigZag pivot logic, RSI filtering, and global price level analysis.
Key Features:
Dual Extremum Confirmation: A signal triggers only when a ZigZag pivot forms and that peak is the highest or lowest over the last N bars (Lookback).
RSI Filtering: Helps avoid mid-trend entries by confirming overbought or oversold conditions.
Smart Visualization: ZigZag lines are drawn using time-based coordinates to ensure accuracy across various timeframes.
Exit System: The indicator automatically marks exit points (EXIT) when an opposing local fractal is detected.
Settings:
Fast TF: The timeframe used for primary signal calculations.
Fast Depth: The sensitivity of pivot detection (higher values reduce noise).
Extremum Lookback: The historical depth for defining a "Global High/Low." Setting this to 150 on H1 will look for reversals only at weekly extremes.
RSI Filter: Customizable thresholds (60/40 or 70/30) to confirm reversal strength.
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
Этот индикатор предназначен для поиска разворотных точек в зонах экстремумов (максимумов и минимумов) за определенный период. Алгоритм сочетает в себе логику классического ZigZag, фильтрацию по RSI и анализ глобальных ценовых уровней.
Основные возможности:
Двойное подтверждение экстремума: Сигнал появляется только тогда, когда формируется фрактал (пивот) Зигзага, и этот пик является самым высоким или низким за последние N баров (Lookback).
Фильтрация по RSI: Помогает избежать входов в середине тренда, подтверждая перекупленность или перепроданность.
Умная визуализация : Линии Зигзага строятся с учетом времени, что исключает ошибки смещения на разных таймфреймах.
Система выходов: Индикатор автоматически отмечает точки выхода (EXIT) при формировании встречного локального фрактала.
Настройки:
Fast TF / Быстрый ТФ: Таймфрейм, на котором рассчитываются основные сигналы.
Fast Depth: Глубина поиска пивотов (чем больше, тем меньше шума).
Extremum Lookback: Глубина истории для определения «Глобального Хая/Лоя». Если поставить 150 на H1 — индикатор будет искать развороты только на экстремумах недели.
RSI Filter: Настройка порогов (60/40 или 70/30) для подтверждения силы разворота.
coins notice screenerif you can't decide the way of the coins, this can help you to decide. Hope it works for you
SM Analysis Rejection Based Supply and Demand Zones🔷 SM-Analysis | Rejection-Based Supply & Demand Zones (Smart Money)
📌 Smart Money Supply & Demand | Wick Rejection Zones | Institutional Levels
🔍 What This Indicator Does
SM-Analysis | Rejection-Based Supply & Demand Zones is a Smart Money Concept (SMC) indicator designed to automatically detect high-probability institutional Supply and Demand zones using strong wick rejection logic.
This tool highlights areas where price was aggressively rejected, often signalling the presence of large operators, liquidity grabs, and institutional defence zones.
Unlike traditional support & resistance indicators, this script filters weak levels and plots only meaningful rejection-based zones.
🚀 Key Features (SEO Optimized)
Smart Money Supply & Demand Zones
Wick Rejection Detection (Institutional Candles)
Non-Repainting Historical Zones
Intraday Noise Filter (Hide Current Day Zones)
Auto-Extending Zones
Supply (Red) & Demand (Green) Levels
Works on Forex, Crypto, Stocks, Indices, Futures
Suitable for Intraday, Swing & Positional Trading
🧠 Smart Money Logic Explained
This indicator analyses each candle and compares:
Upper Wick vs Body → Supply rejection
Lower Wick vs Body → Demand rejection
A zone is plotted only when wick rejection is statistically stronger than the candle body using a Wick Multiplier.
This logic helps identify:
Stop-hunt candles
Liquidity sweeps
Institutional order blocks (wick-based)
Price rejection zones
⏱ Intraday & Non-Repainting Behavior
🔘 Hide Current Day Boxes (Highly Recommended)
When enabled:
Zones created during the current trading day are hidden
Prevents incomplete or repaint-like zones
Only confirmed historical zones remain visible
If a zone is filled on the same day it was created, it is fully deleted to keep the chart clean and realistic.
🎯 How to Trade – Visual Examples
🟢 Demand Zone (Buy Setup)
Price forms a long lower wick → Demand zone is plotted
Wait for price to re-enter the green zone
Look for confirmation (bullish candle, structure support, RSI or volume)
Entry near zone bottom
Stop-loss below the zone
Targets at nearest supply zone or previous highs
🔴 Supply Zone (Sell Setup)
Price prints a long upper wick → Supply zone appears
Wait for price to retest the red zone
Look for bearish rejection or structure break
Entry near zone top
Stop-loss above the zone
Targets at nearest demand zone or liquidity lows
📊 Best Strategy Combinations
Market Structure (HH / HL / LL / LH)
Liquidity Sweeps
Trend Bias (EMA / VWAP)
RSI or Volume Confirmation
Multi-Timeframe Analysis
⚙️ Inputs Explained
Wick Multiplier – Controls rejection strength sensitivity
Hide Current Day Boxes – Filters intraday noise and repaint behaviour
📌 Best Timeframes
5m – 15m → Intraday Trading
30m – 1H → Swing Trading
4H – Daily → Institutional Zones
⚠️ Disclaimer
This indicator is a technical analysis tool and not a buy/sell signal. Always use proper risk management and confirmation.
🏷 Credits
Developed by: SM-Analysis
Institutional-grade Smart Money tools for precision traders.
Trend Strength Matrix [JOAT]Trend Strength Matrix — Multi-Timeframe Confluence Analysis System
This indicator addresses a specific analytical challenge: how to efficiently compare multiple technical measurements across different timeframes while accounting for their varying scales and interpretations. Rather than managing separate indicator windows with different scales, this tool normalizes four distinct analytical approaches to a common -1 to +1 scale and presents them in a unified matrix format.
Why This Combination Adds Value
The core problem this indicator solves is analytical fragmentation. Traders often use multiple indicators but struggle with:
1. **Scale Inconsistency**: RSI ranges 0-100, MACD has no fixed range, ADX ranges 0-100 but measures strength not direction
2. **Timeframe Coordination**: Checking multiple timeframes requires switching between charts or cramming multiple indicators
3. **Cognitive Load**: Processing different indicator types simultaneously creates mental overhead
4. **Confluence Assessment**: Determining when multiple approaches agree requires manual comparison
This indicator specifically addresses these issues by creating a standardized analytical framework where different measurement approaches can be directly compared both within and across timeframes.
Originality and Technical Innovation
While the individual components (RSI, MACD, ADX, Moving Average) are standard, the originality lies in:
1. **Unified Normalization System**: Each component is mathematically transformed to a -1 to +1 scale using component-specific normalization that preserves the indicator's core characteristics
2. **Multi-Timeframe Weighting Algorithm**: Higher timeframes receive proportionally more weight (40% current, 25% next, 20% third, 15% fourth) based on the principle that longer timeframes provide more significant context
3. **Real-Time Confluence Scoring**: The composite calculation provides an instant assessment of how much the different analytical approaches agree
4. **Adaptive Visual Encoding**: The heatmap format allows immediate pattern recognition of agreement/disagreement across both indicators and timeframes
How the Components Work Together
Each component measures a different aspect of market behavior, and their combination provides a more complete analytical picture:
**Momentum Component (RSI-based)**: Measures the velocity of price changes by comparing average gains to losses
**Trend Component (MACD-based)**: Measures the relationship between fast and slow moving averages, indicating trend acceleration/deceleration
**Strength Component (ADX-based)**: Measures trend strength regardless of direction, then applies directional bias
**Position Component (MA-based)**: Measures price position relative to a reference average
The mathematical relationship between these components creates a comprehensive view:
- When all four agree (similar colors), it suggests multiple analytical approaches are aligned
- When they disagree (mixed colors), it highlights analytical uncertainty or transition periods
- The composite score quantifies the degree of agreement numerically
Detailed Component Analysis
**1. Momentum Oscillator Component**
This component transforms RSI into a centered oscillator by subtracting 50 and dividing by 50, creating a -1 to +1 range where 0 represents equilibrium between buying and selling pressure.
// Momentum calculation normalized to -1 to +1 scale
float rsi = ta.rsi(close, rsiLength)
float rsiScore = (rsi - 50) / 50
// Result: 0 at equilibrium, +1 at extreme overbought, -1 at extreme oversold
**2. Moving Average Convergence Component**
MACD is normalized by its own volatility (standard deviation) to create a bounded oscillator. This prevents the unbounded nature of MACD from dominating the composite calculation.
// MACD normalized by its historical volatility
= ta.macd(close, macdFast, macdSlow, macdSignal)
float macdStdev = ta.stdev(macdLine, 100)
float macdScore = macdStdev != 0 ? math.max(-1, math.min(1, macdLine / (macdStdev * 2))) : 0
**3. Directional Movement Component**
This combines ADX (strength) with directional movement (+DI vs -DI) to create a directional strength measurement. ADX alone shows strength but not direction; this component adds directional context.
// ADX-based directional strength
= calcADX(adxLength)
float adxStrength = math.min(adx / 50, 1) // Normalize ADX to 0-1
float adxDirection = plusDI > minusDI ? 1 : -1 // Direction bias
float adxScore = adxStrength * adxDirection // Combine strength and direction
**4. Price Position Component**
This measures price deviation from a moving average, weighted by the magnitude of deviation to distinguish between minor and significant displacements.
// Price position relative to moving average
float ma = ta.sma(close, maLength)
float maDirection = close > ma ? 1 : -1
float maDeviation = math.abs(close - ma) / ma * 10 // Percentage deviation scaled
float maScore = math.max(-1, math.min(1, maDirection * math.min(maDeviation, 1)))
Multi-Timeframe Integration Logic
The multi-timeframe system uses a weighted average that gives more influence to higher timeframes:
// Timeframe weighting system
float currentTF = composite * 0.40 // Current timeframe: 40%
float higherTF1 = composite_tf2 * 0.25 // Next higher: 25%
float higherTF2 = composite_tf3 * 0.20 // Third higher: 20%
float higherTF3 = composite_tf4 * 0.15 // Fourth higher: 15%
float multiTFComposite = currentTF + higherTF1 + higherTF2 + higherTF3
This weighting reflects the principle that higher timeframes provide more significant context for market direction, while lower timeframes provide timing precision.
What the Dashboard Shows
The heatmap displays a grid where:
Each row represents a timeframe
Each column shows one component's normalized reading
Colors indicate the value: green shades for positive, red shades for negative, gray for neutral
The rightmost column shows the composite average for that timeframe
Visual Elements
Moving Average Line — A simple moving average plotted on the price chart
Background Tint — Subtle coloring based on the composite score
Shift Labels — Markers when the composite crosses threshold values
Dashboard Table — The main heatmap display
Inputs
Calculation Parameters:
Momentum Length (default: 14)
MACD Fast/Slow/Signal (default: 12/26/9)
Directional Movement Length (default: 14)
Moving Average Length (default: 50)
Timeframe Settings:
Enable/disable multi-timeframe analysis
Select additional timeframes to display
How to Read the Display
Similar colors across a row indicate the components are showing similar readings
Mixed colors indicate the components are showing different readings
The composite percentage shows the average of all four components
Alerts
Composite crossed above/below threshold values
Strong readings (above 50% or below -50%)
Important Limitations and Realistic Expectations
This indicator displays current analytical conditions—it does not predict future price movements
Agreement between components indicates current analytical alignment, not future price direction
All four components are based on historical price data and inherently lag price action
Market conditions can change rapidly, making current readings irrelevant
Different parameter settings will produce different readings and interpretations
No combination of technical indicators can reliably predict future market behavior
Strong readings in one direction do not guarantee continued movement in that direction
The composite score reflects mathematical relationships, not market fundamentals or sentiment
This tool should be used as one input among many in a comprehensive analytical approach
Appropriate Use Cases
This indicator is designed for:
- Analytical organization and efficiency
- Multi-timeframe confluence assessment
- Pattern recognition in indicator relationships
- Educational study of how different analytical approaches relate
- Supplementary analysis alongside other methods
This indicator is NOT designed for:
- Standalone trading signals
- Guaranteed profit generation
- Market timing precision
- Replacement of fundamental analysis
- Automated trading systems
— Made with passion by officialjackofalltrades
M & V Swing Analysis📌 Indicator Name
M & V Swing Analysis
(Momentum & Volume based Swing Strength Analyzer)
🧠 Indicator ka Objective
M & V Swing Analysis ek market structure + momentum + volume based indicator hai jo har swing ke 3 important stages ko clearly identify karta hai:
1️⃣ Swing Continue (SC)
2️⃣ Swing Weak (SW)
3️⃣ Swing End (SE)
Iska main goal hai trader ko ye batana ki:
Swing strong hai ya nahi
Swing continue karega ya weaken ho raha hai
Swing end hone ke kareeb hai ya nahi
🔍 Kaise Kaam Karta Hai (Logic Overview)
1️⃣ Market Structure (Swing Direction)
Pivot High & Pivot Low (default lookback = 20) use karke:
Up Swing
Down Swing
identify karta hai.
2️⃣ Momentum Analysis (MACD Histogram)
MACD Histogram ka use karke:
Momentum positive / negative zone
Momentum increase ho raha hai ya weaken
check karta hai.
Histogram smoothing (average) lagayi gayi hai taaki noise kam ho.
3️⃣ Volume Analysis
Volume MA (10 & 20) ke through:
Volume price ke saath support kar raha hai
Ya price move ke against ja raha hai
identify hota hai.
🚦 Swing Labels ka Matlab
🟢 SC – Swing Continue
Price direction ✔️
Volume support ✔️
Momentum support ✔️
👉 Trend healthy hai, swing smoothly continue ho raha hai.
🟠 SW – Swing Weak
Price move hai
Lekin ya to volume ya momentum weak hai
SW – U / D – V → Volume issue
SW – U / D – M → Momentum issue
👉 Alert stage ⚠️
Swing ab weak ho raha hai, partial booking / caution useful.
🔴 SE – Swing End
Volume ❌
Momentum ❌
👉 High probability swing end / reversal / consolidation zone.
Aggressive entries avoid karna better.
The KrakenFirst and foremost, you need to understand several concepts, such as what a trend reversal or continuation is, and be aware that everyone sees what has already happened; from there, they speculate about the future ("Give them a change and they already have a direction" ACE95). The third time's the charm, unless it reverses and doesn't enter the structure. Red - green > external and orange > internal. I can't be any clearer. Try to overcome the Tilt (defense mode) because discipline is the key to success.
Primero antes que nada deve conocer varios conceptos, como que es un cambio de tendencia o continuacion y tener claro que todos ven lo que ya sucedio antes , a partir de ahi especulan el futuro (" Dales un cambio y ya tienen una direncion "ACE95), a la tercera va la vencida exepto que gire y no entre a la estructura. Rojo - verde > externo y naranja > interno. Mas claro no puedo ser, intenta superar el Tilt(modo defenza) porque la disciplina es la clave del exito.
zenba kit basic
interaction between 9 moving average and 108 moving average.
gradient filled zones.
200 moving average with color change.
vwap & standard deviations +/- 1.01
retrowave auroral style coloring
[uPaSKaL] Adaptive Swing StructureOverview :
Adaptive Swing Structure identifies and labels swing structure using HH / HL / LH / LL and can optionally draw wave connectors between successive swing points.
The goal is to provide a clean, practical view of market structure that remains readable across different market conditions.
Instead of relying only on a classic fixed-window pivot scan (left/right bars), this indicator uses an adaptive swing-detection approach designed to better match how traders visually interpret legs and structure.
Why this approach (vs. a simple pivot scan)?
Classic pivot scans (e.g., “pivot high/low with left/right bars”) are simple and widely used, but they often have practical limitations:
They depend heavily on a fixed window size (too sensitive in chop, too slow in trends)
They can mark pivots that are locally valid but not always representative of the broader leg
They may produce frequent structure changes during ranges, reducing readability
What you get with this indicator
A more stable swing structure view that adapts to price movement
Cleaner HH / HL / LH / LL labeling for context and decision-making
Optional wave connectors to visually follow the swing path
Visual comparison:
The screenshots below illustrate the difference in how structure can appear when using a classic pivot scan versus Adaptive Swing Structure.
Classic Pivot Points (High / Low):
Adaptive Swing Structure (This Indicator):
How to read the labels
This indicator labels swing structure using the standard notation:
HH = Higher High
HL = Higher Low
LH = Lower High
LL = Lower Low
How to interpret Wave Lines
When enabled, wave lines connect successive swing points to help you visually track the current swing path and structural transitions.
Inputs guide
Tracer Line Len
Main sensitivity control. Adjust this to fit the instrument and timeframe.
Higher values → fewer swing points, smoother structure (macro view)
Lower values → more swing points, more detail (micro view)
Show Wick (High / Low) Line
Shows the wick-based tracer (visual reference).
More sensitive to extremes and wick behavior
Useful when wicks matter (liquidity spikes / stop-runs)
Show Body (Open / Close) Line
Shows the body-based tracer (visual reference).
Filters wick noise and often looks smoother
Useful when you prefer structure based on candle bodies
Show Slope Flip Labels
Shows small markers that highlight swing turning moments (study/verification).
Helpful for understanding where structure updates
Optional and can be disabled for a cleaner chart
Wave Labels (WICK)
Shows HH/HL/LH/LL labels using wick-based swings.
More responsive to wick extremes
Wave Lines (WICK)
Connects wick-based swing points with wave lines.
Improves visual continuity of swings
Wave Labels (BODY)
Shows HH/HL/LH/LL labels using body-based swings.
Typically smoother and less sensitive to wick spikes
Wave Lines (BODY)
Connects body-based swing points with wave lines.
Cleaner wave path for body-based structure
Max Wave Labels Kept (per Wick / Body)
Limits the number of labels kept on the chart (older ones are removed first).
Reduces clutter
Helps maintain performance
Max Wave Lines Kept (per Wick / Body)
Limits the number of wave lines kept on the chart (older ones are removed first).
Keeps the chart readable
Helps maintain performance
History Window (map size / scan clamp)
Performance / stability control for how much recent history is considered.
Higher values → more history considered, higher CPU usage
Lower values → lighter execution, structure limited to more recent swings
Usage / Tuning
1) Find “your number” for each market
There is no universal best setting. The optimal Tracer Line Len depends on:
Instrument volatility
Your trading timeframe
Whether you want micro structure or macro structure
2) Build a simple baseline
Choose your chart timeframe (e.g., 4H).
Start with a moderate Len (e.g., 10–30).
Increase or decrease Len until the swing structure matches how you would manually map it.
3) Practical “timeframe scaling” intuition
You can use Len to “zoom out” or “zoom in” structure without changing your chart timeframe.
Example on 4H :
If Len = 20 produces the swing structure you want for 4H decisions, keep it as your baseline.
If you increase it to something like Len = 120 , the structure becomes much smoother and swing points appear less frequently.
This means:
4H with a smaller Len → focuses on 4H-level swings (more detail).
4H with a much larger Len → filters many local swings and highlights broader legs (more “higher-timeframe-like” context).
This is not a strict mathematical replacement for switching timeframes, but it is a practical and effective way to compress or expand structure density on the same chart.
4) Wick vs Body (which one to choose?)
WICK : Choose when extreme wicks matter to your reading of structure.
BODY : Choose when you want smoother structure and less sensitivity to wick spikes.
5) Suggested workflow for active traders
Use one preset for local structure (entries / short-term decisions).
Use a second preset with a larger Len for higher-level context (major swings / directional bias).
LJ Parsons Adjustable expanding MRT FibBased on premium/discount/fair-value levels the indicator will expand with the market by settable dates.
The levels are not fib based as such but are resonant levels within an multiplicative /12 log scale using the LJ Parsons Market resonance hypothesis.






















