TDPOWERSYS vs Market-Cap Weighted Peersfor QIC - UnCut Diamonds team..
to compare one company vs its peers bundled as basket.
editable..
Cycles
Free cash flow yield (Quarterly)Indicator: Free Cash Flow Yield (Quarterly) — Technical Description
Purpose
This indicator plots Free Cash Flow Yield (FCF Yield) using quarterly fundamentals and optionally adjusts it for dilution. It also computes trailing averages over multiple horizons (in quarters) to give a long-term valuation context.
Data Sources
All fundamentals are pulled from TradingView’s financial dataset using:
request.financial(syminfo.tickerid, , "FQ", barmerge.gaps_on)
Where:
"FQ" = Quarterly frequency
barmerge.gaps_on = keeps values as step-like series (updates only when new quarterly data is available)
Financial fields used:
FREE_CASH_FLOW (FCF)
ENTERPRISE_VALUE (EV)
TOTAL_SHARES_OUTSTANDING
DILUTED_SHARES_OUTSTANDING
Market cap is derived (not pulled directly in this version):
marketCap = totalSharesOutstanding * close
(Only used as a reference in the script; the yield itself is based on EV.)
Core Calculation
1) FCF Yield (Net)
The base yield is:
FCF Yield
(
%
)
=
FCF
Enterprise Value
×
100
FCF Yield(%)=
Enterprise Value
FCF
×100
Implementation detail:
If FCF is na or EV is na or EV == 0, the result is set to na to avoid division errors.
Dilution Adjustment (Optional Series)
2) Dilution Ratio
The script estimates dilution impact using:
dilutionRatio
=
Total Shares Outstanding
Diluted Shares Outstanding
dilutionRatio=
Diluted Shares Outstanding
Total Shares Outstanding
Notes:
If dilutedSharesOutstanding is missing or zero, the ratio becomes na.
3) Diluted FCF Yield
If the ratio indicates dilution (<= 1), yield is scaled down:
FCF Yield Diluted
=
FCF Yield
×
dilutionRatio
FCF Yield Diluted=FCF Yield×dilutionRatio
Else (ratio > 1 or na), the script defaults to the net yield:
FCF Yield Diluted
=
FCF Yield
FCF Yield Diluted=FCF Yield
Practical interpretation:
More dilution → lower ratio → lower diluted yield.
If dilution fields are not reliable for a ticker, the script falls back to the base yield.
Plotting
Two series are shown:
FCF Yield Net: plotted as columns (bars)
FCF Yield Diluted: plotted as an area overlay
This makes it easy to see:
Step changes when new quarter data arrives
Whether dilution meaningfully reduces the yield
Labels (Per-bar)
When fcfYieldDiluted > 0, the script prints the value as a percentage label at the yield level.
Important technical point:
Since fcfYieldDiluted is computed as a number like 8.5 for 8.5%, labels convert to percent format by dividing by 100 before formatting:
str.tostring(fcfYieldDiluted / 100, format.percent)
Rolling History & Averages
1) Rolling storage
The script maintains a rolling array of the most recent 40 quarterly values:
40 quarters ≈ 10 years
Each time a non-NA quarterly yield appears:
It pushes it into the array
If array length exceeds 40, it removes the oldest value
2) Trailing averages (quarter windows)
Averages are computed over the most recent N quarters:
1Q (latest quarter value)
4Q ≈ 1 year
8Q ≈ 2 years
20Q ≈ 5 years
40Q ≈ 10 years
If fewer than N values exist, that average is na.
End-of-chart Summary Label
On the last bar (barstate.islast), the script draws a summary label containing the trailing averages listed above.
Placement logic
The label is positioned slightly to the right of the current bar:
Uses frequencyUnit (estimated number of chart bars per quarter) to offset the label into the future.
frequencyUnit is computed as:
frequencyUnit
≈
Seconds in 12 months
Seconds per chart bar
÷
4
frequencyUnit≈
Seconds per chart bar
Seconds in 12 months
÷4
This is only for visual spacing, not calculation correctness.
Limitations / Notes
The yield series is “step-like” and updates only when new quarterly fundamentals are available.
For some tickers, TradingView fundamentals (especially diluted shares) can be missing or inconsistent; the script protects against this by returning na or falling back to the net yield.
EV-based yield can differ from market-cap-based yield; EV includes debt and cash effects, so it’s closer to an “all-capital” valuation measure.
Cloud Gold TrendTrend Filter (Ichimoku): If the price is above the cloud (Kumo), look only for "Long" signals. If it is below, look only for "Short" signals.
Entry Signal (Bollinger): When the price touches the Lower Band while you are above the Cloud, it could be a great buying point in an uptrend.
Volatility Confirmation: If the Bollinger Bands squeeze within the cloud, get ready for a strong directional move as soon as the price breaks one of the two levels.
Triple EMA + Stochastic/ADX# Triple EMA + Stochastic/ADX Breakout Indicator
A professional TradingView indicator designed for trend-following and momentum breakout trading. This system uses a hierarchical confirmation process to ensure high-probability entries and robust trend maintenance.
## 🚀 Core Trading Logic: "The Setup Cycle"
This indicator operates on a **Cycle-Based Logic** rather than simple crossovers. A trade cycle is defined as:
1. **The Setup (Priming)**: A Stochastic crossover (K > D for Long, D > K for Short) initiates a "Setup Mode." This is marked by a small dot (Blue for Long, Orange for Short).
2. **The Confirmation (Trend)**: The systems checks for hierarchical EMA alignment (Fast > Medium > Slow for Longs).
3. **The Trigger (Breakout)**: Once the Setup is active and EMAs are aligned, every **Price Breakout** above the previous high (X-period) triggers a continuous **BUY/SELL mark**.
4. **The Exit (Take Profit/Stop)**: The cycle and trade only end when the Fast EMA crosses back over the Medium EMA (EMA 9/21 crossover).
---
## 🛠 Features
### 1. Triple EMA System
* **Hierarchical Alignment**: Requires Fast > Medium > Slow (9, 21, 50 by default) for a confirmed trend direction.
* **Dynamic Trend Background**: Chart background changes color when a full EMA trend is established.
### 2. Dual Filter System (Stochastic & ADX)
* **Stochastic Setup**: Uses smoothed %K and %D to identify the start of momentum cycles.
* **ADX Filter**: Provides a trend-strength baseline. Default threshold is set to 20 to filter out choppy markets.
### 3. Price Breakout Confirmation
* Requires price to break above/below the previous High/Low of the last X bars (default 10).
* Allows for **continuous entries** within a single trend cycle.
### 4. Robust Exit Strategy
* **EMA Crossover Exit**: The primary exit method. Triggers an "EXIT" flag when the trend momentum shifts.
* **ATR Trailing Stop**: A secondary volatility-based stop that moves with the price. Can be set as the absolute exit or used for visual reference.
### 5. Mean Reversion Mode (Optional)
* Identifies overextended price action (percent deviation from EMA2).
* Signals potential "bounce" or "rejection" trades against the trend.
---
## 📊 Dashboard & Visuals
* **🟢 BUY / 🔴 SELL**: Trend continuation breakout signals.
* **🟠 EXIT / 🟣 EXIT**: Trend reversal/exit signals.
* **🔵/🟠 Small Dots**: Setup priming moments.
* **Real-time Dashboard**: Displays current Setup Status, EMA Alignment, Breakout status, ADX strength, and calculated Stop levels.
---
## ⚙️ How to Customize
| Parameter | Recommended Use |
| :--- | :--- |
| **Breakout Lookback** | Lower (3-5) for aggressive scalping, Higher (10-20) for conservative trends. |
| **Filter Mode** | Choose "Stochastic" for momentum or "ADX" for trend strength preference. |
| **ATR Multiplier** | Reduce (1.5) for tighter stops, Increase (3.0) for wider trend following. |
| **Exit ONLY on EMA** | Enable to stay in trades longer; Disable to exit immediately on ATR stop hits. |
---
## 📥 Installation
1. Open your **Pine Editor** in TradingView.
2. Create a new "Indicator."
3. Copy the code from `Triple_EMA_Stochastic_ADX.pine`.
4. Click **Save** and **Add to Chart**.
---
*Developed for Dhan/MCX/Futures and general Asset Trading.*
CK CloudOnly two moving averages that change color when they cross: blue for buy and yellow for sell, both configurable.
Triple KDJ - CKThe Triple KDJ is a market-reading architecture based on multiscale confirmation, not a new indicator. It consists of the simultaneous use of three KDJ settings with different parameters to represent three levels of price behavior: short-, medium-, and long-term. The systemic logic is simple and robust: a move is considered tradable only when there is directional coherence across all three layers, which reduces noise, prevents entries against the dominant regime, and stabilizes decision-making.
At the slowest level, the KDJ acts as a structural regime filter. It defines whether the market is, at that moment, permissive for buying, selling, or remaining neutral. When the slow KDJ shows the hierarchy J > K > D, the environment is bullish; when J < K < D occurs, the environment is bearish. If this condition is not clear, any signal on the faster levels should be ignored, as it represents only local fluctuation without directional support.
The intermediate KDJ fulfills the role of continuity confirmation. It checks whether the impulse observed on the short-term level is supported by the developing move. In practical terms, it prevents entries based solely on micro-impulses that fail to evolve into real price displacement. When the intermediate KDJ replicates the same directional hierarchy as the slow KDJ, structure and movement are aligned.
The fast KDJ is used exclusively as a timing tool, never as a standalone signal generator. This is where the J line reacts first, often emerging from extreme zones and offering the lowest-risk entry point. In the Triple KDJ, the fast layer does not “command” the trade; it simply executes what has already been authorized by the higher levels.
The J line plays a central role in this architecture. In the fast KDJ, it anticipates the change in impulse; in the intermediate KDJ, it confirms the transformation of that impulse into movement; and in the slow KDJ, it determines whether the market accepts or rejects that direction. For this reason, in the Triple KDJ the correct reading is not about line crossovers, but about a consistent hierarchy among J, K, and D across multiple scales.
Triple KDJ - CKThe Triple KDJ is a market-reading architecture based on multiscale confirmation, not a new indicator. It consists of the simultaneous use of three KDJ settings with different parameters to represent three levels of price behavior: short-, medium-, and long-term. The systemic logic is simple and robust: a move is considered tradable only when there is directional coherence across all three layers, which reduces noise, prevents entries against the dominant regime, and stabilizes decision-making.
At the slowest level, the KDJ acts as a structural regime filter. It defines whether the market is, at that moment, permissive for buying, selling, or remaining neutral. When the slow KDJ shows the hierarchy J > K > D, the environment is bullish; when J < K < D occurs, the environment is bearish. If this condition is not clear, any signal on the faster levels should be ignored, as it represents only local fluctuation without directional support.
The intermediate KDJ fulfills the role of continuity confirmation. It checks whether the impulse observed on the short-term level is supported by the developing move. In practical terms, it prevents entries based solely on micro-impulses that fail to evolve into real price displacement. When the intermediate KDJ replicates the same directional hierarchy as the slow KDJ, structure and movement are aligned.
The fast KDJ is used exclusively as a timing tool, never as a standalone signal generator. This is where the J line reacts first, often emerging from extreme zones and offering the lowest-risk entry point. In the Triple KDJ, the fast layer does not “command” the trade; it simply executes what has already been authorized by the higher levels.
The J line plays a central role in this architecture. In the fast KDJ, it anticipates the change in impulse; in the intermediate KDJ, it confirms the transformation of that impulse into movement; and in the slow KDJ, it determines whether the market accepts or rejects that direction. For this reason, in the Triple KDJ the correct reading is not about line crossovers, but about a consistent hierarchy among J, K, and D across multiple scales.
Elliott Wave Pattern AnalyzerElliott Wave Pattern Analyzer
Overview
This indicator automatically detects Elliott Wave impulse patterns and diagonal formations on your chart. It analyzes price structure based on classic Elliott Wave rules and displays wave counts with confidence scores, Fibonacci projections, and invalidation levels.
Why I Built This
After reading Glenn Neely's book on Elliott Wave theory, I wanted to put my learning into practice by building something tangible. There's no better way to understand a concept than trying to code it!
I'll be honest – corrective wave patterns (zigzags, flats, triangles, combinations) were simply too complex for me to implement reliably. So instead, I focused on what I could manage: impulse waves and diagonal patterns. Maybe someday I'll tackle the corrections, but for now, this is my humble contribution.
The retracement visualization style was inspired by LuxAlgo's elegant approach – credit where credit is due!
How It Works
1. Wave Detection
The indicator uses pivot points to identify potential 5-wave structures:
WaveRuleWave 2Cannot retrace more than 100% of Wave 1Wave 3Cannot be the shortest among Waves 1, 3, 5Wave 4Should not overlap Wave 1 territory (impulse)Wave 5Completes the motive structure
2. Pattern Types
Impulse Waves
Classic 5-wave motive structure
Wave 3 typically extends (≥1.618 of Wave 1)
Strict mode enforces all Elliott rules
Diagonal Patterns
Ending diagonal (wedge-shaped)
Waves progressively contract
Lines 1-3 and 2-4 converge to an apex
Often signals trend exhaustion
3. Confidence Scoring
Each pattern receives a confidence score (0-100%) based on:
Fibonacci ratio adherence
Wave proportion relationships
Rule compliance
Structural clarity
Only patterns exceeding your threshold (default: 60%) are displayed.
4. Fibonacci Projections
After Wave 5 completion, the indicator projects potential retracement levels:
0.382, 0.500, 0.618, 0.786 of the entire impulse
5. Extension Channel
Connects Wave 0 origin to the retracement low, projecting:
0.618, 1.000, 1.272, 1.618 extensions
Optional extended levels: 2.000, 2.618, 4.236
6. Invalidation Levels
Shows the price level where the wave count becomes invalid – helping you know when your analysis is wrong.
Settings Explained
Impulse Wave Settings
Pivot Length: Sensitivity of wave detection (recommended: 5, 7, 14)
Strict Mode: Enforce all classic Elliott rules
Min Wave 3 Extension: Minimum ratio for Wave 3 (default: 1.618)
Diagonal Wave Settings
Allow Wave 4-1 Overlap: Required for valid diagonals
Extend Trendline: Project diagonal boundaries forward
Projection Settings
Fibonacci Levels: Customize retracement targets
Extension Bars: How far projections extend on chart
Pattern Management
Max Patterns: Limit displayed patterns to reduce clutter
Pattern Lifetime: Auto-remove old patterns after X bars
Use Cases
Trend Trading: Enter on Wave 3 or Wave 5 breakouts
Reversal Spotting: Diagonal completion often signals reversals
Target Setting: Use Fibonacci extensions for take-profit levels
Risk Management: Invalidation levels provide clear stop-loss references
Notes
This indicator uses pivot detection and may repaint – signals are confirmed after the specified pivot length
Designed for educational and analytical purposes, not as a signal generator
Elliott Wave analysis is subjective – this is my algorithmic interpretation
Works best on liquid markets with clear trend structure
Not financial advice – always do your own research
Re-publishing Notice
This indicator was previously blocked due to some house rule violations on my part. I've recently had time to review and fix those issues, and I'm now re-publishing a compliant version. Thanks for your patience!
Feedback Welcome
I'm still learning Elliott Wave theory myself, so if you spot any issues or have suggestions for improvement, please leave a comment. Let's learn together!
Happy trading! 📈
Previous Close Percentage LevelsInstitutional Previous Close Percentage Levels (Visual).
This indicator plots percentage-based levels calculated from the previous daily close, designed for clean intraday context and Replay analysis.
Features:
• Automatic daily recalculation
• Levels displayed only for the current trading day
• Clear 0% reference line (previous close) without label
• Configurable percentage steps (+ / −)
• Right-side percentage labels
• Visual TOUCH markers (price interaction)
• Visual BREAK markers (confirmed close beyond level)
• Replay-safe logic (no infinite lines)
• Pine Script v6 compatible
This script is focused on visual clarity and price context.
No audible or popup alerts are used — only on-chart visual signals.
Ideal for:
• Intraday bias
• Mean reversion
• Breakout confirmation
• Futures, Forex, Crypto, Stocks
Weis Wave Renko Panel 2 (Effort / Strength / Climax)Weis Wave Renko • Institutional HUD + Panel 2
Wyckoff / Auction Market Framework
This project consists of TWO COMPLEMENTARY INDICATORS, designed to be used together as a complete visual framework for reading Effort vs Result, Auction Direction, and Session Control, based on Wyckoff methodology and Auction Market Theory.
These tools are not trade signal generators.
They are context and decision-support instruments, built for discretionary traders who want to understand who is active, where effort is occurring, and when the auction is reaching maturity or exhaustion.
🔹 1) WEIS WAVE RENKO — INSTITUTIONAL HUD (Overlay)
📍 Location: Plotted directly on the price chart
🎯 Purpose: Fast, high-level institutional context and trade permission
The HUD answers:
“What is the current state of the auction, and is trading permitted?”
What the HUD shows:
🧠 Market Participation
Measures how much participation is present in the market:
Low Participation
Weak Participation
Active Participation
Dominant Participation
This reflects whether professional activity is present or absent, not direction alone.
📐 Auction Direction
Defines how the auction is currently resolving:
Auction Up
Auction Down
Balanced Auction
This is derived from price progression and effort alignment.
🔥 Effort (Effort vs Result)
Displays the relative strength of the current effort, normalized over recent waves:
Visual effort bar
Strength percentage (0–100)
Effort classification:
Low Effort
Increasing Effort
Strong Effort
Effort Exhaustion
This is the core Wyckoff concept: effort must produce result.
🌐 Session Control
Shows which trading session is controlling the auction:
Asia – Accumulation Phase
London – Development Phase
US RTH – Decision Phase
The dominant session is visually emphasized, while others are intentionally de-emphasized.
🔎 Market State & Trade Permission
Clearly separates structure from permission:
Structure (Neutral, Developing, Trending, Climactic Extension)
Permission
Trade Permitted
No Trade Zone
When Effort Exhaustion is detected, the HUD explicitly signals No Trade Zone.
🔹 2) WEIS WAVE RENKO — PANEL 2 (Lower Pane)
📍 Location: Dedicated lower pane below the price chart
🎯 Purpose: Detailed, continuous visualization of effort, strength, and climax
Panel 2 answers:
“How is effort evolving, and is the auction maturing or exhausting?”
What Panel 2 shows:
📊 Effort Wave (Weis-like)
Histogram of accumulated effort per directional wave
Green: Auction Up effort
Red: Auction Down effort
This reveals where real participation is building.
📈 Strength Line (0–100)
Normalized strength of the current effort wave
Same calculation used by the HUD
Enables precise comparison of effort over time
⚠️ Climax / Effort Exhaustion Marker
Triggered when effort is both strong and mature
Highlights Climactic Extension / Exhaustion
Serves as a warning, not an entry signal
🔗 HOW TO USE BOTH TOGETHER (IMPORTANT)
These indicators are designed to be used simultaneously:
Panel 2 reveals
→ how effort is building, peaking, or exhausting
HUD translates that information into
→ market state and trade permission
Typical workflow:
Panel 2 identifies rising effort or climax
HUD confirms:
Participation quality
Auction direction
Session control
Whether trading is permitted or restricted
⚠️ IMPORTANT NOTES
These tools do not generate buy or sell signals
They are contextual and structural
Best used with:
Wyckoff schematics
Auction-based execution
Market profile / volume profile
Discretionary trade management
🎯 SUMMARY
Institutional, non-lagging framework
Effort vs Result at the core
Clear separation between:
Context
Structure
Permission
Designed for professional discretionary traders
Weis Wave Renko Institutional HUD (Wyckoff/Auction) v6Weis Wave Renko • Institutional HUD + Panel 2
Wyckoff / Auction Market Framework
This project consists of TWO COMPLEMENTARY INDICATORS, designed to be used together as a complete visual framework for reading Effort vs Result, Auction Direction, and Session Control, based on Wyckoff methodology and Auction Market Theory.
These tools are not trade signal generators.
They are context and decision-support instruments, built for discretionary traders who want to understand who is active, where effort is occurring, and when the auction is reaching maturity or exhaustion.
🔹 1) WEIS WAVE RENKO — INSTITUTIONAL HUD (Overlay)
📍 Location: Plotted directly on the price chart
🎯 Purpose: Fast, high-level institutional context and trade permission
The HUD answers:
“What is the current state of the auction, and is trading permitted?”
What the HUD shows:
🧠 Market Participation
Measures how much participation is present in the market:
Low Participation
Weak Participation
Active Participation
Dominant Participation
This reflects whether professional activity is present or absent, not direction alone.
📐 Auction Direction
Defines how the auction is currently resolving:
Auction Up
Auction Down
Balanced Auction
This is derived from price progression and effort alignment.
🔥 Effort (Effort vs Result)
Displays the relative strength of the current effort, normalized over recent waves:
Visual effort bar
Strength percentage (0–100)
Effort classification:
Low Effort
Increasing Effort
Strong Effort
Effort Exhaustion
This is the core Wyckoff concept: effort must produce result.
🌐 Session Control
Shows which trading session is controlling the auction:
Asia – Accumulation Phase
London – Development Phase
US RTH – Decision Phase
The dominant session is visually emphasized, while others are intentionally de-emphasized.
🔎 Market State & Trade Permission
Clearly separates structure from permission:
Structure (Neutral, Developing, Trending, Climactic Extension)
Permission
Trade Permitted
No Trade Zone
When Effort Exhaustion is detected, the HUD explicitly signals No Trade Zone.
🔹 2) WEIS WAVE RENKO — PANEL 2 (Lower Pane)
📍 Location: Dedicated lower pane below the price chart
🎯 Purpose: Detailed, continuous visualization of effort, strength, and climax
Panel 2 answers:
“How is effort evolving, and is the auction maturing or exhausting?”
What Panel 2 shows:
📊 Effort Wave (Weis-like)
Histogram of accumulated effort per directional wave
Green: Auction Up effort
Red: Auction Down effort
This reveals where real participation is building.
📈 Strength Line (0–100)
Normalized strength of the current effort wave
Same calculation used by the HUD
Enables precise comparison of effort over time
⚠️ Climax / Effort Exhaustion Marker
Triggered when effort is both strong and mature
Highlights Climactic Extension / Exhaustion
Serves as a warning, not an entry signal
🔗 HOW TO USE BOTH TOGETHER (IMPORTANT)
These indicators are designed to be used simultaneously:
Panel 2 reveals
→ how effort is building, peaking, or exhausting
HUD translates that information into
→ market state and trade permission
Typical workflow:
Panel 2 identifies rising effort or climax
HUD confirms:
Participation quality
Auction direction
Session control
Whether trading is permitted or restricted
⚠️ IMPORTANT NOTES
These tools do not generate buy or sell signals
They are contextual and structural
Best used with:
Wyckoff schematics
Auction-based execution
Market profile / volume profile
Discretionary trade management
🎯 SUMMARY
Institutional, non-lagging framework
Effort vs Result at the core
Clear separation between:
Context
Structure
Permission
Designed for professional discretionary traders
Session Swing High / Low Rays AUS USERS ONLY
marks the last week concurrent to the present day, the highs and lows of each session
Titan 6.1 Alpha Predator [Syntax Verified]Based on the code provided above, the Titan 6.1 Alpha Predator is a sophisticated algorithmic asset allocation system designed to run within TradingView. It functions as a complete dashboard that ranks a portfolio of 20 assets (e.g., crypto, stocks, forex) based on a dual-engine logic of Trend Following and Mean Reversion, enhanced by institutional-grade filters.Here is a breakdown of how it works:1. The Core Logic (Hybrid Engine)The indicator runs a daily "tournament" where every asset competes against every other asset in a pairwise analysis. It calculates two distinct scores for each asset and selects the higher of the two:Trend Score: Rewards assets with strong directional momentum (Bullish EMA Cross), high RSI, and rising ADX.Reversal Score: Rewards assets that are mathematically oversold (Low RSI) but are showing a "spark" of life (Positive Rate of Change) and high volume.2. Key FeaturesPairwise Ranking: Instead of looking at assets in isolation, it compares them directly (e.g., Is Bitcoin's trend stronger than Ethereum's?). This creates a relative strength ranking.Institutional Filters:Volume Pressure: It boosts the score of assets seeing volume >150% of their 20-day average, but only if the price is moving up.Volatility Check (ATR): It filters out "dead" assets (volatility < 1%) to prevent capital from getting stuck in sideways markets."Alpha Predator" Boosters:Consistency: Assets that have been green for at least 7 of the last 10 days receive a mathematically significant score boost.Market Shield: If more than 50% of the monitored assets are weak, the system automatically reduces allocation percentages, signaling you to hold more cash.3. Safety ProtocolsThe system includes strict rules to protect capital:Falling Knife Protection: If an asset is in Reversal mode (REV) but the price is still dropping (Red Candle), the allocation is forced to 0.0%.Trend Stop (Toxic Asset): If an asset closes below its 50-day EMA and has negative momentum, it is marked as SELL 🛑, and its allocation is set to zero.4. How to Read the DashboardThe indicator displays a table on your chart with the following signals:SignalMeaningActionTREND 🚀Strong BreakoutHigh conviction Buy. Fresh uptrend.TREND 📈Established TrendBuy/Hold. Steady uptrend.REV ✅Confirmed ReversalBuy the Dip. Price is oversold but turning Green today.REV ⚠️Falling KnifeDo Not Buy. Price is cheap but still crashing.SELL 🛑Toxic AssetExit Immediately. Trend is broken and momentum is negative.Icons:🔥 (Fire): Institutional Buying (Volume > 1.5x average).💎 (Diamond): High Consistency (7+ Green days in the last 10).🛡️ (Shield): Market Defense Active (Allocations reduced due to broad market weakness).
CISD Projections [LuxAlgo]The CISD Projections tool automatically plots mechanical price projection targets based on fractal market structure and swing manipulation legs. These projections offer dynamic, statistically informed targets that align with how prices tend to expand after a reversal point is confirmed.
🔶 USAGE
Projections are mechanical target levels derived from the manipulation leg following a confirmed change in state of delivery (CISD). They estimate where price is most likely to travel next by applying extended Fibonacci projection levels off the swing that initiated the move.
The tool works in the following way:
1. Detect the reversal bar that signals a shift in delivery.
2. Identify the manipulation leg: the swing that caused the reversal.
3. Anchor projections from this leg using customized Fibonacci levels such as 1, 2, 2.5, 4, 4.5 — each representing a potential target based on leg size and market expansion expectation.
For a correct target interpretation:
Average-sized legs often target between 2 and 2.5 levels.
Expanding legs may reach 4 to 4.5.
Large manipulation legs may warrant conservative expectations, focusing on 1 target.
As we can see in the image, traders must be aware of current market conditions and manipulation leg size in order to decide which levels to target and ask the right questions: Is volatility contracting or expanding? Is this manipulation leg smaller or larger than the previous ones?
Ultimately, projections provide objective, mechanical targets rather than subjective guesswork. They can be used on their own or in conjunction with liquidity zones, CISDs, and structural levels. They also help identify realistic price targets based on measured swing magnitude.
🔹 Filtering Setups
The chart shows how the output is affected by different filtering options:
Bars Threshold: show setups with a minimum number of bars in the manipulation leg.
CISD Filter: show setups only at the top or bottom of the range for the last X bars.
Invalidate CISDs on CHoCH: setups stop expanding after the first close beyond the manipulation leg.
We can obtain more meaningful setups with larger filter values by filtering the setups, or we can zoom in on details at the trader's discretion by disabling all filters.
🔶 SETTINGS
Bars Threshold: Minimum number of bars of each setup.
CISD Filter: Enable or disable the filter and select the length. This filter identifies setups at the top or bottom of the range over the last X bars.
Invalidate CISDs on CHoCH: Stop the level extension on ChoCH against CISD. This occurs when there is a close below the bottom on bullish setups and a close above the top on bearish setups.
🔹 Projections
Enable or disable each projection, select the projection level, and choose a style.
🔹 Style
CISD Level: Enable or disable CISD price level and select style.
Labels size: Select the size of the labels.
Bullish Color: Select a color for bullish setups.
Bearish Color: Select a color for bearish setups.
Background Fill: Enable or disable the background fill between the price and the extreme projection.
4 EMA Perfect Order (10/20/40/80)Display four EMA indicators. You can set an alarm when a perfect order is achieved.
London Session Counter-Trend Strategy
👉 Timeframe: 15 minutes
🕗 Phase 1 — Morning Market Reading
Between 8:00 and 9:00, we observe the dominant market direction.
This direction is considered structural for the rest of the trading day.
If this movement continues until 10:00, it is also validated until a clear pullback occurs.
➡️ Therefore:
8:00–9:00 (and possibly until 10:00) = analysis zone
📐 Phase 2 — Trendline Construction
We draw a dashed trendline based on:
the lowest point if the 9:00 trend is bullish
the highest point if the 9:00 trend is bearish
This trendline acts as a key reference level.
🔄 Phase 3 — Trade Setup
We do NOT trade in the direction of the 8:00 trend.
Instead, we wait for:
a price retracement back to the trendline
Then:
we enter a position in the opposite direction of the 8:00 trend
👉 This is a counter-trend strategy, but a structural and rule-based one — not emotional.
Tableau Angle Pro - Complet Stable V2🇺🇸 ENGLISH DESCRIPTION
Angle Pro Dashboard — Multi-Timeframe (MTF) Momentum with Independent Calibration
OVERVIEW This indicator is a professional momentum analysis tool displaying MACD and KDJ dynamics across 7 simultaneous timeframes (from 30 seconds to 1 hour). It calculates the precise angle of indicators to help you measure real market velocity and trend conviction.
MAJOR UPDATE: INDEPENDENT CALIBRATION This version introduces Timeframe-Specific Calibration. You can now adjust the sensitivity of angles (DIF, DEA, J) individually for each interval. This feature allows you to normalize readings across different volatilities, ensuring a 45° angle on a 30s chart feels as significant as on a 1h chart.
KEY FEATURES
Multi-TF Dashboard: Monitor 30s, 1m, 3m, 5m, 15m, 30m, and 1h in one compact interface.
Precision Control: 7 dedicated setting groups to fine-tune indicator slopes per timeframe.
Angle Measurement: Displays slope in degrees. Steeper angles represent stronger momentum and trend strength.
Dynamic Color Coding: 6 intensity levels based on angle values.
Fully Customizable: Complete MACD/KDJ settings and a fully adjustable color palette.
TRADING INSIGHTS
Trend Cascade: Look for bright color alignment across multiple columns to confirm high-probability trend entries.
Fine-Tuning: Use the "Multi" settings in the calibration menus to increase or decrease sensitivity for specific timeframes based on the asset's current volatility.
10% Above 52-Week MidpointThis is a useful point for all my investors/ trader's friends. The point is referred to as the median point between the 52-week high and 52 weeks low. And here we say that we identify any underlying asset that is at 10% above the median. Very useful information.
Adaptive Quant RSI [ML + MTF]This is an advanced momentum indicator that integrates Machine Learning (K-Means Clustering) with Multi-Timeframe (MTF) analysis. Unlike traditional RSI which uses fixed 70/30 levels, this script dynamically calculates support and resistance zones based on real-time historical data distribution.
Key Features:
🤖 ML Dynamic Thresholds: Uses K-Means clustering to segment RSI data into clusters, automatically plotting dynamic long/short thresholds that adapt to market volatility.
⏳ MTF Trend Background: The background color changes based on a Higher Timeframe (e.g., 5-min) RSI trend, helping you align with the broader market direction.
📊 Extreme Statistics: Incorporates percentile analysis (95th/5th) and historical pivots to identify extreme overbought/oversold conditions with high reversal probability.
📈 Probability Analysis: Displays the statistical probability of the current RSI value being at the top or bottom of its historical range.
Usage: Look for confluence between the dynamic ML thresholds and the MTF background color to identify high-probability reversal setups.
