Single Year Historical ProjectionBasic year projection onto chart from a previous year, good for reference previous years movements.
Enjoy
Wskaźniki i strategie
Volume Profile: Date-Range ObservationI have refined the strategy developed by kv4coins , incorporating an additional option for the observation date range. Previously, when seeking a fixed date range—particularly to track data from the onset of an event-driven trigger up to the present—it was somewhat cumbersome. To address this, I added a new date selection feature to accommodate the need for observing specific time periods.
MB-MACD## Description
**MB-MACD** is a custom Pine Script indicator designed to enhance momentum analysis by combining a volume-based "Main Buy Ratio" (MB) calculation with a traditional MACD oscillator. The MB Ratio estimates institutional buying pressure by apportioning volume based on the candle's range and close position, providing a unique proxy for "smart money" flow. This smoothed MB value is then used as the source for MACD computation, allowing for divergence detection between price action, the MB line, and the MACD Histogram.
Key features include:
- **MB Line**: A histogram-style plot showing smoothed buy/sell ratio, colored bullishly (teal) or bearishly (pink) based on direction.
- **MACD Histogram**: Standard MACD applied to the MB source, with optional smoothing.
- **Divergence Detection**: Identifies bullish and bearish divergences on both the MB line and MACD Histogram, with configurable filters for momentum decay and zero-line alignment.
- **Visualization Options**: Display divergence lines and labels in the indicator pane or synced as an overlay on the main chart for better context.
- **Alerts**: Triggers for bullish or bearish divergences to notify users of potential reversal setups.
This indicator is particularly useful for swing traders and momentum followers looking to spot hidden divergences that may signal trend reversals or continuations. It emphasizes risk management by highlighting where price and momentum decouple, but remember: divergences are probabilistic signals and should be confirmed with other tools.
As this is a community-shared script, I encourage users to test it thoroughly and provide feedback. If you spot any bugs, calculation errors, or improvements (e.g., edge cases with low-volume symbols or performance issues on certain timeframes), please comment below or reach out—your input helps refine it for everyone!
## User Manual
### Introduction
The **MB-MACD** indicator integrates volume analysis with MACD to detect divergences in price and momentum. The core innovation is the "Main Buy Ratio" (MB), which approximates buying vs. selling volume within each bar based on its range and close position. This MB value is smoothed and fed into a MACD calculation, enabling divergence scans on both the MB line and the resulting MACD Histogram.
Divergences occur when price makes higher highs/lower lows, but the oscillator (MB or Histogram) fails to confirm—often signaling potential reversals. The script offers flexible display options, filters to reduce false positives, and alerts for real-time notifications.
**Important Notes:**
- This is not financial advice; use it for educational purposes and backtest on your symbols/timeframes.
- Works best on liquid stocks or indices with reliable volume data (e.g., daily or higher timeframes).
- Performance may vary on low-volume assets or during after-hours trading.
- If you encounter issues (e.g., no divergences detected or rendering errors), check your chart settings and report them in the comments for community debugging.
### Inputs Explanation
The inputs are grouped for ease of configuration. Adjust them via the indicator's settings panel in TradingView.
#### Core Parameters
- **Show MB Line** (Default: True): Enables/disables the MB Ratio histogram plot.
- **Show MACD Histogram** (Default: True): Enables/disables the MACD line and histogram plots.
- **MB Smoothing (SMA)** (Default: 10, Min: 1): Length for smoothing the raw MB Ratio using a Simple Moving Average (SMA). Higher values reduce noise but may lag.
- **Pivot Lookback Length** (Default: 5, Min: 2): Bars to look back/forward for detecting price pivots (highs/lows) used in divergence logic.
- **Max Lines Kept** (Default: 100, Min: 10): Limits the number of divergence lines/labels to prevent chart clutter.
#### Display Settings
- **Show Lines (Indicator Pane)** (Default: True): Draws divergence lines on the MB line in the indicator pane.
- **Show Labels (Indicator Pane)** (Default: True): Adds labels (e.g., "L" for line divergence) at divergence points in the pane.
- **Show Hist Divergence Lines** (Default: True): Draws dashed lines for MACD Histogram divergences in the pane.
- **Show Hist Divergence Labels** (Default: True): Adds labels (e.g., "H" for histogram divergence) in the pane.
- **Sync Lines to Main Chart (Overlay)** (Default: True): Mirrors divergence lines and labels onto the main price chart for context (slightly offset for visibility).
#### Filters & Tolerance
- **Peak Alignment Tolerance (Bars)** (Default: 5, Min: 0): Allows flexibility in matching oscillator peaks/valleys to price pivots (e.g., within ±5 bars).
- **Max Divergence Distance (Bars)** (Default: 20, Min: 5): Maximum bars between two pivots for a valid divergence; prevents detecting overly distant signals.
- **Enable Momentum Decay Filter** (Default: True): For Histogram divergences, requires the current peak/valley to have a smaller absolute value than the previous (indicating convergence/decay).
- **Enable Zero-Side Filter** (Default: False): Ensures both peaks/valleys in a divergence are on the same side of the zero line (e.g., both positive or both negative).
#### MACD Settings
- **MACD Fast Length** (Default: 12): Fast EMA length for MACD.
- **MACD Slow Length** (Default: 26): Slow EMA length for MACD.
- **MACD Signal Length** (Default: 9): Smoothing length for the MACD signal line.
- **MACD Source Smoothing** (Default: 3, Min: 1): Additional SMA smoothing applied to the MB Ratio before MACD calculation.
### How It Works
1. **MB Ratio Calculation**: For each bar, the script computes the position of the close within the high-low range (0-1). This scales the volume into "buy" and "sell" portions, then derives a net ratio (-100% to +100%). It's smoothed via SMA for the final MB line.
2. **MACD Application**: The (optionally smoothed) raw MB is used as the MACD source, producing a MACD line, signal line, and histogram.
3. **Pivot Detection**: Uses Pine's `ta.pivothigh`/`ta.pivotlow` to find price highs/lows over the lookback period.
4. **Divergence Scanning**:
- **Bearish (on Highs)**: Price makes a higher high, but MB/Hist makes a lower high.
- **Bullish (on Lows)**: Price makes a lower low, but MB/Hist makes a higher low (closer to zero).
- Scans nearby bars for oscillator matches and applies filters.
5. **Rendering**: Lines/labels are drawn in the indicator pane or overlaid on the chart. Colors: Teal for bullish, Pink/Maroon for bearish.
6. **Cleanup**: Automatically removes old lines/labels to stay under the max limit.
### Interpreting the Outputs
- **MB Line (Columns)**: Positive (teal) indicates net buying pressure; negative (pink) shows selling. Watch for crossovers above/below zero as momentum shifts.
- **MACD Histogram (Area)**: Green/teal for positive momentum; red/maroon for negative. Widening bars suggest strengthening trends; narrowing indicates weakening.
- **Divergence Lines/Labels**:
- Solid lines: MB line divergences (thicker, labeled "L").
- Dashed lines: Histogram divergences (thinner, labeled "H").
- Bullish: Teal lines sloping up (potential bottom reversal).
- Bearish: Pink lines sloping down (potential top reversal).
- **Overlay on Chart**: Lines connect price pivots (or offset slightly for Histogram). Use this to visualize how divergences align with candlesticks.
- **Zero Line**: Gray horizontal line; divergences filtered by side if enabled.
**Example Usage**:
- On a daily stock chart, enable overlays and watch for a bullish "L" or "H" label near a price low—could signal a buy if confirmed by volume breakout.
- In a downtrend, bearish divergences on highs might warn of further downside.
### Alerts
- **Bullish Divergence (L or H)**: Triggers on any detected bullish divergence (MB or Histogram).
- **Bearish Divergence (L or H)**: Triggers on bearish divergences.
- Set up via TradingView's alert menu: Select the indicator, choose the condition, and customize the message (e.g., includes ticker).
### Troubleshooting / Known Issues
- **No Divergences Shown**: Increase "Peak Alignment Tolerance" or reduce filters. Ensure pivot length suits your timeframe (shorter for intraday).
- **Too Many Lines/Labels**: Lower "Max Lines Kept" or increase "Max Divergence Distance" to filter distant signals.
- **Performance on Low-Volume Symbols**: MB Ratio may be unreliable; test on high-volume assets first.
- **Rendering Errors**: If lines don't appear, check chart zoom or ensure "force_overlay=true" isn't conflicting with other indicators.
- **NaN/Undefined Values**: Rare on live data but possible in historical backtests; report with symbol/timeframe for fixes.
### Feedback and Contributions
This script is open for community improvement! If you find bugs (e.g., false positives in divergences, calculation edge cases, or UI glitches), or have suggestions (like additional filters or visualizations), please share in the comments. Your feedback helps make it better—let's debug and enhance it together!
CVD-MACD### CVD-MACD (Research)
The CVD-MACD is a research-oriented indicator that combines Cumulative Volume Delta (CVD) with the classic MACD framework to provide insights into market momentum and potential reversals. Unlike a standard MACD based on price, this version uses CVD (the running total of buy vs. sell volume delta) as its input source, offering a volume-driven perspective on trend strength and divergences.
Key Features:
- **CVD-Based MACD Calculation**: Computes MACD using CVD instead of price, highlighting volume imbalances that may precede price moves.
- **Dual Divergence Detection**: Identifies bullish/bearish divergences on both the MACD line and histogram, with configurable pivot lookbacks and filters (e.g., momentum decay and zero-side consistency).
- **Visual Flexibility**: Toggle divergences in the indicator pane or overlaid on the main chart, with optional raw CVD line for reference.
- **Alerts**: Built-in conditions for bullish and bearish divergences to notify users of potential setups.
###This indicator is designed for research and experimentation—it's not financial advice. It performs best on liquid assets with reliable volume data (e.g., stocks, futures). I've shared this to gather community feedback: please test it thoroughly and point out any bugs, inefficiencies, or improvements! For example, if you spot issues with divergence detection on certain timeframes or symbols, let me know in the comments. Your input will help refine it.
Inspired by volume analysis techniques; open to collaborations or forks.
## User Manual for CVD-MACD (Research)
### Overview
The CVD-MACD indicator transforms traditional MACD by using Cumulative Volume Delta (CVD) as the base input. CVD accumulates the net delta between estimated buy and sell volume per bar, providing a volume-centric view of momentum. The indicator plots a MACD line, signal line, and histogram, while also detecting divergences on both the MACD line and histogram for potential reversal signals.
This manual covers setup, interpretation, and troubleshooting.
Note: This is a research tool—backtest and validate on your own data before using in live trading.
### Installation and Setup
1. **Add to Chart**: Search for "CVD-MACD (Research)" in TradingView's indicator library or paste the script into the Pine Editor and add it to your chart.
2. **Compatibility**: Works on any timeframe and symbol with volume data. Best on daily/intraday charts for stocks, forex, or futures. Avoid illiquid symbols where volume may be unreliable.
3. **Customization**: All inputs are configurable via the indicator's settings panel. Defaults are optimized for general use but can be tuned based on asset volatility.
### Input Parameters
The inputs are grouped for ease of use:
#### MACD Settings
- **Fast EMA (CVD)** (default: 12): Length of the fast EMA applied to CVD. Shorter values make it more responsive to recent volume changes.
- **Slow EMA (CVD)** (default: 26): Length of the slow EMA on CVD. Longer values smooth out noise for trend identification.
- **Signal EMA** (default: 9): Smoothing period for the signal line (EMA of the MACD line).
#### Divergence Logic (MACD Line)
- **Pivot Lookback (MACD Line)** (default: 5): Bars to look left/right for detecting pivots on the MACD line. Higher values detect larger swings but may miss smaller divergences.
- **Max Lookback Range (MACD Line)** (default: 50): Maximum bars between two pivots to consider a divergence valid. Prevents detecting outdated signals.
- **Enable Momentum Decay Filter (Histogram)** (default: false): When enabled, requires the histogram to show decaying momentum (absolute value decreasing) for MACD-line divergences to trigger.
#### Histogram Divergence
- **Pivot Lookback (Histogram)** (default: 5): Similar to above, but for histogram pivots.
- **Max Lookback Range (Histogram)** (default: 50): Max bars for histogram divergence detection.
- **Show Histogram Divergences in Indicator Pane** (default: true): Displays dashed lines and "H" labels for histogram divergences in the sub-window.
- **Show Histogram Divergences on Main Chart** (default: true): Overlays histogram divergences on the price chart with semi-transparent lines and labels.
- **Require Histogram to Stay on Same Side of Zero** (default: true): Filters divergences to only those where the histogram doesn't cross zero between pivots, ensuring consistent momentum direction.
#### Visuals (Dual View)
- **Show MACD-Line Divergences (Indicator Pane)** (default: true): Draws solid lines and "L" labels for MACD-line divergences in the sub-window.
- **Show MACD-Line Divergences (Main Chart)** (default: true): Overlays MACD-line divergences on the price chart.
- **Show Raw CVD Line** (default: false): Plots the underlying CVD as a faint gray line for reference.
### How to Interpret the Indicator
1. **Core Plots**:
- **MACD Line** (blue): Difference between fast and slow CVD EMAs. Above zero indicates building buy volume momentum; below zero shows sell dominance.
- **Signal Line** (orange): EMA of the MACD line. Crossovers can signal potential entries/exits (e.g., MACD above signal = bullish).
- **Histogram** (columns): MACD minus signal. Green shades for positive/expanding bars (bullish momentum); red for negative/contracting (bearish). Fading colors indicate weakening momentum.
- **Zero Line** (gray horizontal): Reference for bullish (above) vs. bearish (below) territory.
- **Raw CVD** (optional gray line): The cumulative buy-sell delta. Rising = net buying; falling = net selling.
2. **Divergences**:
- **Bullish (Green Lines/Labels)**: Occur when price makes lower lows, but MACD line or histogram makes higher lows. Suggests weakening downside momentum and potential reversal up. Look for "L" (MACD line) or "H" (histogram) labels.
- **Bearish (Red Lines/Labels)**: Price higher highs vs. MACD/histogram lower highs. Indicates fading upside and possible downturn.
- **Dual View**: Divergences appear in the indicator pane (sub-window) for clean analysis and overlaid on the main chart for price context. Histogram divergences use dashed lines to distinguish from MACD-line (solid).
- **Filters**: Momentum decay ensures only "hidden" or weakening divergences trigger. Zero-side filter prevents false signals from oscillating histograms.
3. **Alerts**:
- **Bullish Divergence (L or H)**: Triggers on either MACD-line or histogram bullish divergence. Message: "CVD-MACD Bullish Divergence detected on {{ticker}}".
- **Bearish Divergence (L or H)**: Similar for bearish. Use TradingView's alert setup to notify via email/SMS/webhook.
- Tip: Combine with price action (e.g., support/resistance) for confirmation.
### Usage Tips and Strategies
- **Trend Confirmation**: Use in uptrends for bullish divergences (pullback buys) or downtrends for bearish (short entries).
- **Timeframe Selection**: Higher timeframes (e.g., daily) for swing trading; lower (e.g., 15-min) for intraday. Adjust pivot lookbacks accordingly (shorter for faster charts).
- **Combination Ideas**: Pair with RSI for overbought/oversold confirmation or VWAP for intraday volume context.
- **Risk Management**: Divergences are probabilistic—not guarantees. Always use stop-losses based on recent swings.
- **Performance Notes**: Backtest on historical data via TradingView's Strategy Tester. CVD relies on accurate volume; test on exchanges like NYSE/NASDAQ.
### Known Limitations and Troubleshooting
- **Volume Dependency**: CVD estimation assumes linear buy/sell distribution based on bar position—may be less accurate on thin markets or during gaps.
- **Repainting**: Pivots and divergences can repaint as new data arrives (common in pivot-based indicators). Use on closed bars for reliability.
- **Resource Usage**: High max_bars_back (5000) ensures deep history; reduce if chart loads slowly.
- **No Signals on Low-Volume Bars**: If CVD flatlines, check symbol volume—some crypto/forex pairs have inconsistent data.
- **Community Feedback**: If you encounter bugs (e.g., false divergences on specific symbols/timeframes), missing alerts, or calculation errors, please comment below with details like symbol, timeframe, and screenshots. Suggestions for enhancements (e.g., more filters or visuals) are welcome!
If you have questions or find issues, drop a comment—let's improve this together!
Gold Pin Bar Pivot Alerts - FixedThis script is designed for the high volatility of Gold (XAU/USD). It identifies Pin Bars with body less than 30% of the candle's total range, and the candle occuring at a structural Pivot High or Pivot Low
Gtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingviewtradingview
Act AlgoPanneer Selvam is inviting you to a scheduled Zoom meeting
Topic: Online Follow-Up Session (Every Sunday)
Time: 07:00 AM (IST)
EMA 6/50 Cross + ADX 20 + AlertsThis indicator is designd to filter noise off the EMA cross with the ADX greater than 20 condition.
RS Score (1-100) vs NQ/ES/YM - TP# RS Score (1–100) vs NQ/ES/YM — How to Use & Interpret
## What this indicator is doing
It gives you a **single score from 1 to 100** that tells you whether a stock is acting like a **leader** or a **laggard** compared to the **overall U.S. market** (Nasdaq + S&P + Dow), using about **1 year of data**.
---
## The core idea: “Is this stock beating the market?”
This script compares your stock to a blended benchmark of:
* **Nasdaq futures (NQ)**
* **S&P futures (ES)**
* **Dow futures (YM)**
### Why that matters
A stock can be going up, but if the market is going up faster, the stock is **not a leader**.
This tool answers:
* “Is this stock outperforming the big market?”
* “Is it doing it consistently, or is it just wild and noisy?”
---
## What the 1–100 score means
Think of **50** as the “middle line.”
### The most important rule
* **Above 50 = outperforming the market blend**
* **Below 50 = underperforming**
* **Around 50 = roughly market-like**
### Easy interpretation bands
* **80–100 (Strong Leader):** stock is outperforming the market clearly and consistently
* **60–80 (Healthy):** generally outperforming, decent leadership
* **45–60 (Neutral-ish):** not special, close to market performance
* **30–45 (Weak):** lagging the market
* **1–30 (Very Weak):** strong underperformance
**Think “leaders live above 50,” and “real leaders tend to stay 70+.”**
---
## Why this score is “smarter” than just comparing returns
This script doesn’t just ask *“did it outperform?”*
It also asks *“did it outperform in a clean, steady way?”*
So it penalizes:
* choppy, unstable performance
* “one lucky spike” moves
That’s why it’s great for finding **higher-quality leadership**.
---
## Timeframe consistency: why it works on Daily, Weekly, Monthly
You added **Lock to last completed Daily bar**.
That means:
* it uses the **same daily reference point** no matter what chart timeframe you switch to
* your RS score won’t “walk around” just because the current day/week/month is still forming
**Practical meaning:**
If your score says 72, it should be 72 whether you’re looking at Daily, Weekly, or Monthly (as of the last completed day).
---
## The “RS New High” marker (NH) — what it’s telling you
The marker shows when your RS score hits a **new high** over your chosen lookback period (default ~252 trading days).
### In plain terms:
> “This stock is now showing its strongest relative performance vs the market (in about a year).”
### Why it’s powerful
A lot of the best leaders:
* show RS new highs **before** price breaks out
* or show RS new highs **during** breakouts
**So NH is a “leadership confirmation” signal.**
### How to use NH in real life
* **Best case:** RS hits a new high **while price is near breakout levels**
→ this often means institutions are accumulating and the stock is acting like a leader
* **Okay case:** price makes new highs but RS does not
→ stock is rising, but it’s not leading (could still work, but less attractive)
---
## Divergences: when RS and price disagree
This is one of the most useful ways to use RS.
### Bearish divergence (warning)
**Price makes a higher high, but RS makes a lower high.**
In simple terms:
> “The stock is still going up, but it’s losing leadership versus the market.”
This often shows up before:
* pullbacks
* breakout failures
* trend weakening
* rotation into stronger names
**It’s a caution sign, not an automatic sell.**
### Bullish divergence (early strength)
**Price makes a lower low, but RS makes a higher low.**
In simple terms:
> “The stock is holding up better than the market — strength is building underneath.”
This can happen before:
* reversals
* strong bounce setups
* early leadership emergence
---
## How to use this indicator in a simple trading workflow
### 1) Screening (finding leaders)
When scanning charts:
* Prefer stocks **above 50**
* Strong candidates are typically **70+**
* Bonus points if you see **NH markers** recently
**Quick rule:**
If RS < 50, it’s usually not worth your time unless you’re hunting deep value turnarounds.
---
### 2) Breakouts (confirming quality)
When a stock is near a breakout point:
* You want RS to be **rising**
* Ideally RS is near highs or prints **NH**
If price breaks out but RS is weak:
* it’s more likely to be a “meh breakout”
* sometimes it works, but it’s less “leader-like”
---
### 3) Managing positions (leadership health check)
If you’re already holding:
* RS staying high and rising = healthy leadership
* RS rolling over while price still rises = **possible early warning**
* RS plunging under 50 = the stock is now **lagging the market** (big red flag)
---
## Common “mistakes” and how to avoid them
### Mistake 1: Thinking RS > 50 means “guaranteed winner”
No — it means it’s acting **stronger than the market**, but price action still matters.
Use it with:
* trend structure
* volume/accumulation
* breakout levels
### Mistake 2: Overreacting to one divergence
One divergence is a warning.
You want confirmation like:
* failed breakout
* heavy sell volume
* loss of key moving averages
* repeated RS lower highs
### Mistake 3: Comparing RS values across totally different markets without context
RS works best when:
* comparing stocks within the same broad market environment
* keeping the same benchmark blend and same lookback
---
## Simple cheat sheet
* **RS > 50:** outperforming market (good)
* **RS 70–100:** leader zone
* **NH marker:** strongest relative strength in lookback window (leadership confirmation)
* **Price HH + RS LH:** bearish divergence (leadership weakening)
* **Price LL + RS HL:** bullish divergence (strength building)
Thank you!
Multi-Factor ConsensusMFC (Market Field Coherence)
A Triumph of Complexity: The Fusion of Three Professional Engines to Visualize the Unified
Mind of the Market
█ OVERVIEW: BEYOND THE INDICATOR
This is not another lagging indicator. This is a command suite.
MFC (Market Field Coherence) is not a single tool, but a seamless integration of three professional-grade, independent analytical engines fused into a singular, awe-inspiring system. It's a masterwork of signal processing and applied mathematics designed to visualize the invisible—the collective, underlying state of the market.
It moves beyond the simplistic analysis of individual price bars to measure something far more profound: the degree of emergent coherence across an entire ensemble of market oscillators. While traditional tools see the market as a series of disconnected data points, MFC sees it as a dynamic, fluctuating field of forces. By deploying its three specialized engines, MFC identifies moments of critical transition when disparate, chaotic market inputs converge into a single, unified, and tradable state of being. It measures the very instant the "noise" becomes a "symphony," and generates signals only when all three engines are in unanimous agreement.
█ A TRINITY OF SYSTEMS: THREE INDICATORS IN ONE
MFC's unparalleled precision comes from its unique tripartite architecture. It is not a monolithic tool. It is a fusion of three distinct, professional-grade analytical engines, each performing a critical and independent function. Their synergy is what produces the high-quality, filtered signals and the profound analytical clarity.
ENGINE 1: The Quantum Coherence Engine
The heart of the system. This is a pure regime-detection indicator. Its sole purpose is to perform the heavy lifting of converting the oscillator ensemble into complex-plane phasors and calculating the two most critical metrics: the Coherence Index (CI) and the Dominant Phase . It constantly works to answer the primary question: " How unified is the market, and in which direction is it leaning? "
ENGINE 2: The Multi-Layer Confirmation Matrix
A high CI from the first engine is not enough. This second, independent engine acts as the ultimate quality filter. It is, in essence, a sophisticated confirmation indicator that runs two rigorous, non-negotiable checks: the Phase-Lock Detector (is the alignment tight enough?) and the Pairwise Entanglement Web (is the alignment broad-based and not a fluke?). This is a purely logical system designed to reject ambiguity, eliminate false positives, and validate the findings of the Coherence Engine. It answers the crucial follow-up question: " Is this detected coherence real, or is it a statistical ghost? "
ENGINE 3: The Advanced Visualization Suite
Raw data is meaningless without interpretation. This third engine is a full-fledged visual indicator in its own right, dedicated to translating the abstract mathematics from the other two engines into an intuitive, multi-dimensional language. Featuring the revolutionary Circular Orbit Plot , the atmospheric Quantum Field Cloud , and deep-dive analytical grids, it allows you to see the market's state in a way that numbers alone never could. It answers the final question: " What does this confirmed state of coherence actually look like? "
An Ignition Signal only fires when all three of these independent systems reach a unanimous conclusion. This is the source of MFC's power and precision.
█ THE PHILOSOPHY & THEORETICAL FOUNDATION
MFC is built upon a synthesis of advanced mathematical frameworks, each chosen for its unique ability to extract a deeper layer of truth from market data. Their combination across the three engines creates a system far greater than the sum of its parts.
1. The Kernel: Gaussian-Weighted Smoothing for Intelligent Lag Reduction
Simple and Exponential Moving Averages are primitive tools. MFC's engines reject them. We employ a Gaussian Kernel for all internal smoothing. This "bell curve" weighting assigns the most significance to the most recent data, gracefully decaying influence for older data. The result is a beautifully smooth yet highly responsive measure of coherence, fundamentally reducing the lag that plagues other systems.
The formula for the weight w at a distance i from the center μ is:
w(i) = exp(- (i - μ)² / (2 * σ²))
2. The Lens: Sigmoid Normalization for Non-Linear State Definition
To compare an RSI of 80 to a MACD of 0.5, MFC utilizes the robust and mathematically elegant Sigmoid (Logistic) Function. Its non-linear, "S-shaped" curve squashes any input into a perfect, bounded range, creating extreme sensitivity near the neutral midpoint and gracefully compressing values at the extremes. This provides a crystal-clear distinction between "weak," "strong," and "extreme" conditions.
f(x) = 1 / (1 + exp(-k * x))
3. The Engine: Complex-Plane Phasors for Coherence Measurement
This is the heart of Engine 1. Each normalized oscillator is transformed from a single scalar value into a two-dimensional vector (a phasor) in the complex plane, capturing its magnitude (strength) and its phase angle (position and velocity).
Resultant Vector (R) = Σ e^(iφₙ) = Σ cos(φₙ) + i·Σ sin(φₙ)
The Coherence Index (CI) is the magnitude of this resultant vector, normalized by the number of oscillators N:
CI = |R| / N
This mathematical blending— Gaussian smoothing for clean data, Sigmoid normalization to define state, and Complex-Plane Analysis to measure collective coherence—is what allows MFC to generate insight that is simply impossible to achieve with conventional tools.
█ THE INPUTS MENU: YOUR COMMAND & CONTROL
Every parameter is exposed, allowing you to fine-tune MFC's three engines to any instrument, timeframe, or trading style. Here is an exhaustive guide:
Oscillator Settings (Engine 1)
Enable/Disable Toggles & Lengths: Construct the perfect ensemble for your market. Shorter lengths for scalping (e.g., 5m chart), longer lengths for swing trading (e.g., 4H chart). Disable any oscillator that consistently acts as an outlier to reduce noise.
Normalization Anchors: Define the "extreme" boundaries for the Sigmoid function. Widen these anchors (e.g., RSI 80/20) for highly volatile assets to better capture the larger price swings.
Coherence & Confirmation Settings (Engines 1 & 2)
CI Smoothing Window: Controls the Gaussian Kernel for the final Coherence Index. A short window (2-4) offers a fast reaction for scalpers. A longer window (5-10) creates a smoother CI line for swing traders.
Ignition Threshold: The CI level needed to activate a signal check. A lower threshold (0.70) generates more signals. A higher threshold (0.85) produces fewer, but extremely high-conviction signals.
Phase Lock Tolerance & Min Entangled Pairs: These are the core parameters for the Confirmation Engine (Engine 2). Use tighter tolerances (e.g., 25°) and a higher number of pairs (e.g., 5+) to demand an incredibly high standard for signal confirmation.
█ THE DASHBOARD: YOUR QUANTITATIVE READOUT
The dashboard provides a real-time, numerical dissection of the market field, summarizing the outputs of all three engines.
CI (Coherence Index): What it is: The master metric from Engine 1. How to interpret: < 40% (Chaos): The market is disjointed. 40-70% (Coherent): A regime is forming. > 70% (Ignition Zone): High consensus.
Dom Phase (Dominant Phase): What it is: The "average" direction from Engine 1. How to interpret: The arrow gives the immediate directional bias.
Field Strength: What it is: CI × Average Amplitude . How to interpret: Measures alignment with conviction. A high Field Strength is the signature of a powerful, aggressive trend.
Entangled Pairs & Phase Lock: What they are: The direct readouts from the Confirmation Engine (Engine 2). How to interpret: The 🔒 symbol and a high pair count are the final "green lights" before a signal can be generated.
State: What it is: A real-time classification of the market's condition based on the combined output of all engines. How to interpret:
🚀 IGNITION: All three engines are in unanimous, bullish/bearish agreement.
⚡ COHERENT: The trend is healthy and coherence is stable.
💥 COLLAPSE: The regime's integrity is compromised.
🌀 CHAOS: The market is unpredictable.
Collapse Risk: What it is: A 0-100% gauge measuring the rate of recent CI decay. How to interpret: A leading indicator for trend exhaustion. A value rising above 50% is a powerful signal to tighten stops.
█ THE VISUALS: THE ART OF ANALYSIS (ENGINE 3)
The Visualization Suite (Engine 3) translates the complex calculations into an intuitive visual language. Learning to read these displays is like learning to see the market in a new dimension.
The Circular Orbit Plot: The soul of MFC. A polar grid showing each oscillator as a labeled vector.
Angle = Phase, Length = Amplitude. Watch for Convergence: when scattered vectors cluster into a single quadrant, you are witnessing the birth of a new regime in real-time.
The Quantum Field Cloud: An atmospheric overlay on the price chart.
Color = Dominant Phase ( Green for bullish, Red for bearish). Opacity = Coherence Index . A dense, opaque cloud signifies an extremely strong, coherent regime.
The Entanglement Web Matrix & Phase-Time Heat Map: Deep-dive analytical tools. Use the Web to diagnose the quality and breadth of coherence. Use the Heat Map to identify historical patterns and pivotal moments of unified market phase.
█ THE DEVELOPMENT: A QUEST FOR TRUTH
MFC was not created to be just another tool. It was engineered to solve the fundamental ambiguity of technical analysis by creating a system of checks and balances between three specialized engines. I sought to replace subjective interpretation with objective, multi-stage mathematical measurement. The choice of Gaussian kernels, Sigmoid functions, and complex-plane analysis was a deliberate decision to embrace the multi-dimensional reality of market dynamics rather than simplifying it into a single, misleading number.
This is a tool for the discerning trader who understands that the market is not a random walk, but a complex, adaptive system. MFC provides a new set of senses to perceive the behavior of that system.
"The financial markets are generally unpredictable. So that one has to have different scenarios... The idea that you can actually predict what's going to happen contradicts my way of looking at the market."
— George Soros
MFC does not predict. It measures . Its three engines work in concert to provide a high-resolution image of the market's current state , allowing you to align yourself with moments of profound clarity and step aside during times of absolute chaos. Trade the coherence, not the forecast.
█ IMPORTANT WARNINGS & DISCLAIMER
This tool is designed for analytical and informational purposes. It identifies periods of high statistical confluence based on the behavior of technical oscillators. This is not a "signal" service and provides no financial advice.
RISK OF LOSS: All trading and investment activities involve substantial risk of loss. Do not trade with capital you cannot afford to lose.
NO GUARANTEE: This indicator does not guarantee profits or prevent losses. Past performance is not indicative of future results.
USE CONFIRMATION: "Ignition" markers denote a unanimous conclusion from all three internal engines, not explicit instructions to buy or sell. They should be used as one component within a comprehensive trading plan.
REGIME DEPENDENT: The effectiveness of this tool is dependent on market conditions. It performs best in markets with clear cyclical behavior.
Taking you to school. - Dskyz, Trade with probability. Trade with consensus. Trade with MFC.
High Probability Trend Continuation (1:5 RR)this strategy is based on a high-probability trend continuation pattern, one of the most frequently occurring setups in financial markets. It uses EMA trend alignment to identify strong bullish or bearish conditions and waits for a controlled pullback before entering a trade in the direction of the trend.
Risk management is fully automated using ATR-based stop losses, ensuring the strategy adapts to market volatility. Each trade is executed with a fixed 1:5 risk-to-reward ratio, allowing profitability even with a modest win rate.
The strategy is designed to work across multiple markets and timeframes, including forex, stocks, indices, and crypto, making it suitable for both intraday and swing trading.
RSI Divergence Indicator (Multi-Time Frame Confirmation)This custom-built RSI indicator blends traditional divergence detection with multi-timeframe trend confirmation, offering traders a smarter way to spot meaningful momentum shifts.
MA 9 & MA 20 Crossover + EMA200 + CONFIRMED + RSI OB/OS (Alerts)Tesing this strategy. This will not work for all coins. this is short specific coins
WEEKEND BOX (FRIDAY 17:00 - SUNDAY 18:00 NY)As the name “Weekend Box” suggests, this indicator highlights the price range of cryptocurrencies between Friday 17:00 and Sunday 18:00 (New York time). It draws a box around this period to visualize how Bitcoin and other crypto assets behave while the forex market is closed. The goal is to provide a simple, educational tool for anyone interested in studying weekend volatility and market behavior in crypto. Thank you.
D1 High/LowThis indicator automatically plots the previous day’s high and low (D1) as thin dashed horizontal lines on the chart.
The levels are calculated strictly from yesterday’s daily candle only.
The lines are anchored directly at the previous day’s candle and extend to the right, matching institutional-style reference levels.
Visible on Daily (D1) and all lower timeframes (H4, H1, M15, etc.).
The lines reset at the start of each new trading day to reflect the latest completed session.
Designed as a context and liquidity reference, not as a predictive indicator.
Candle Pip SizeThis script shows previous candle close to low for bullish candles and close to high for bearish candles.
It also shows for current candle price to low for bullish candles and current candle price to high for bearish candles.
It's useful for calculating the stop loss risk.
Change Pip/Tick size input based on the pair (e.g. 1 MNQ, 0.1 USD/JPY)
RSI Chebyshev Pro with Goldilocks Fractals - NR [NPR21]RSI Chebyshev Pro with Goldilocks Fractals - Non-Repaint
CHART INFORMATION
Instrument: /MNQ (Micro E-mini Nasdaq-100 Futures)
Timeframe: 2-minute
Indicator: RSI Chebyshev Pro with Goldilocks Fractals - NR
THE PROBLEM
Standard RSI is too choppy and noisy – it whipsaws all over the place in volatile markets like futures, giving false oversold/overbought signals that burn you on entries. I was sick of missing real reversals or getting stopped out on fakeouts. I wanted something smoother that still catches the big momentum shifts without lagging too much, plus actual market structure to make it more reliable for quick trades.
WHAT MAKES THIS UNIQUE
Unlike basic RSI indicators that use simple moving average smoothing, this combines several advanced techniques that aren't commonly found together:
1. Chebyshev Type I Filtering - Signal processing mathematics (not basic EMAs) that kills noise while keeping real swings sharp. Most RSI smoothing just blurs everything - this keeps responsiveness without the chop.
2. MAMA Adaptive Period - The moving average adapts to actual market cycles using the MESA algorithm, not fixed periods that lag in changing conditions.
3. RSI Pivot Fractals - These aren't price fractals slapped onto RSI. The fractals detect pivots directly on RSI values at extreme levels, with signals appearing back at the exact pivot bar (not current bar), showing you where the actual reversal happened.
4. True Non-Repainting Implementation - Signals appear delayed BUT locked at the historical pivot location forever. What you see in backtests is exactly what appeared live - no vanishing signals, no shifting.
5. All-in-One Integration - Instead of running 3-4 separate indicators (RSI + fractals + patterns + smoothing), everything works together in a single, optimized calculation with confluence built in.
This isn't just RSI with some Williams Fractals thrown on top - it's a complete rethink of how to identify high-probability RSI reversals using signal processing and adaptive algorithms.
ORIGIN & ENHANCEMENTS
Original Source: ChartPrime RSI Chebyshev indicator
Converted & Enhanced by: NPR21
What I Added:
✅ Converted to Pine Script v6 - Made this available to TradingView traders
✅ Goldilocks Fractals - RSI alone doesn't tell you about price structure. These fractals nail those "just right" pivot points where highs/lows confirm. I kept seeing RSI extremes that reversed hard when they lined up with fractals - this was the missing piece for confluence.
✅ 100% Non-Repainting - I've been burned by repainters. You'd backtest something, looks amazing, then live it vanishes or shifts. Lost real money on that. This is rock-solid: signals show delayed but once they're there, they're locked forever. Makes backtesting trustworthy.
✅ Candlestick Patterns - Engulfing, Morning Star, Evening Star detection for confluence
✅ Customizable Visuals - BUY/SELL labels, multiple display styles, full color/size control
✅ Complete Alert System - Get notified on all signal types
HOW IT WORKS
Chebyshev Filtering:
Like putting noise-canceling on your RSI – smooths out jittery ups and downs from random price spikes without flattening into useless lag. It's signal processing math that keeps important swings sharp while killing BS noise. Way better than simple EMA smoothing that blurs everything.
The Components:
Ultra-Smooth RSI - Chebyshev Type I filtering + adaptive MAMA algorithm
Goldilocks Fractals - Pivot detection confirmed after N bars (default 5)
Pattern Recognition - Detects Engulfing, Morning/Evening Star patterns
Visual Styles - Candle Trend (hollow green/solid red) or traditional candles
SIGNAL DELAY vs REPAINTING
✅ THIS HAS SIGNAL DELAY (GOOD) - NOT REPAINTING (BAD)
Signal Delay:
Signals appear after N bars (default 5 bar delay)
Once visible, NEVER disappears or moves
Perfect for backtesting - 100% reliable
What you see in history is what you'd see live
Why the Delay:
To confirm a pivot, we need to see price didn't go lower/higher in the next N bars. This confirmation makes signals reliable. The delay is the price for trustworthy signals.
Want faster? Drop Fractal Periods to 2-3 (more signals, less confirmation).
HOW I TRADE IT
My /MNQ Scalping (1-3 min charts):
LONG: BUY label appears (down fractal + maybe morning star/engulfing) → Check RSI crossing up from oversold (<30) → Confirm with volume → Long with stop below fractal low → Target 1-2R
SHORT: SELL label (up fractal + maybe evening star) → RSI from overbought → Short with stop above
Filter: Only longs in uptrends (watch the MA). Exit partials if momentum fades.
Best Timeframes: 1-5 min for futures scalping. Works on 15 min for swings but for pure scalping, stay under 5 min in high-vol sessions.
SETTINGS I USE
Standard Setup:
Length: 24, Smoothing: 3
Auto MA: ON, Multiplier: 1-2
Fractal Periods: 5 (good confirmation)
Choppy Days:
Smoothing to 5
Aggressive:
Fractal Periods to 3
Pro Tip: Pair with volume or price EMA. Love when fractal BUY + engulfing bull align. Use Candle Trend style. Test on demo first.
KEY SETTINGS
RSI: Length (24), Smoothing (3), Auto MA, Style (Candle/Candle Trend)
Fractals: Periods (5 = more reliable, 3 = faster/riskier), Label colors/sizes, Offsets
Alerts: All signals fire only on confirmed, non-repainting events
DISCLAIMERS
⚠️ Tool, not a complete system - use proper risk management
⚠️ Signals have delay for reliability - not for instant entries
⚠️ Best with price action, volume, other analysis
⚠️ Test on demo before live trading
Questions? Comment below!
NPR21
RSI Chebyshev Pro with Goldilocks Fractals - NR [NPR21]RSI Chebyshev Pro with Goldilocks Fractals - Non-Repaint
----------------------------------------------------------------------------------------------------------------------
CHART INFORMATION
Instrument: /MNQ (Micro E-mini Nasdaq-100 Futures)
Timeframe: 2-minute
Indicator: RSI Chebyshev Pro with Goldilocks Fractals - NR
----------------------------------------------------------------------------------------------------------------------
THE PROBLEM
Standard RSI is too choppy and noisy – it whipsaws all over the place in volatile markets like futures, giving false oversold/overbought signals that burn you on entries. I was sick of missing real reversals or getting stopped out on fakeouts. I wanted something smoother that still catches the big momentum shifts without lagging too much, plus actual market structure to make it more reliable for quick trades.
WHAT MAKES THIS UNIQUE
Unlike basic RSI indicators that use simple moving average smoothing, this combines several advanced techniques that aren't commonly found together:
1. Chebyshev Type I Filtering - Signal processing mathematics (not basic EMAs) that kills noise while keeping real swings sharp. Most RSI smoothing just blurs everything - this keeps responsiveness without the chop.
2. MAMA Adaptive Period - The moving average adapts to actual market cycles using the MESA algorithm, not fixed periods that lag in changing conditions.
3. RSI Pivot Fractals - These aren't price fractals slapped onto RSI. The fractals detect pivots directly on RSI values at extreme levels, with signals appearing back at the exact pivot bar (not current bar), showing you where the actual reversal happened.
4. True Non-Repainting Implementation - Signals appear delayed BUT locked at the historical pivot location forever. What you see in backtests is exactly what appeared live - no vanishing signals, no shifting.
5. All-in-One Integration - Instead of running 3-4 separate indicators (RSI + fractals + patterns + smoothing), everything works together in a single, optimized calculation with confluence built in.
This isn't just RSI with some Williams Fractals thrown on top - it's a complete rethink of how to identify high-probability RSI reversals using signal processing and adaptive algorithms.
ORIGIN & ENHANCEMENTS
Original Source: ChartPrime RSI Chebyshev indicator
Converted & Enhanced by: NPR21
What I Added:
✅ Converted to Pine Script v6 - Made this available to TradingView traders
✅ Goldilocks Fractals - RSI alone doesn't tell you about price structure. These fractals nail those "just right" pivot points where highs/lows confirm. I kept seeing RSI extremes that reversed hard when they lined up with fractals - this was the missing piece for confluence.
✅ 100% Non-Repainting - I've been burned by repainters. You'd backtest something, looks amazing, then live it vanishes or shifts. Lost real money on that. This is rock-solid: signals show delayed but once they're there, they're locked forever. Makes backtesting trustworthy.
✅ Candlestick Patterns - Engulfing, Morning Star, Evening Star detection for confluence
✅ Customizable Visuals - BUY/SELL labels, multiple display styles, full color/size control
✅ Complete Alert System - Get notified on all signal types
HOW IT WORKS
Chebyshev Filtering:
Like putting noise-canceling on your RSI – smooths out jittery ups and downs from random price spikes without flattening into useless lag. It's signal processing math that keeps important swings sharp while killing BS noise. Way better than simple EMA smoothing that blurs everything.
The Components:
Ultra-Smooth RSI - Chebyshev Type I filtering + adaptive MAMA algorithm
Goldilocks Fractals - Pivot detection confirmed after N bars (default 5)
Pattern Recognition - Detects Engulfing, Morning/Evening Star patterns
Visual Styles - Candle Trend (hollow green/solid red) or traditional candles
SIGNAL DELAY vs REPAINTING
✅ THIS HAS SIGNAL DELAY (GOOD) - NOT REPAINTING (BAD)
Signal Delay:
Signals appear after N bars (default 5 bar delay)
Once visible, NEVER disappears or moves
Perfect for backtesting - 100% reliable
What you see in history is what you'd see live
Why the Delay:
To confirm a pivot, we need to see price didn't go lower/higher in the next N bars. This confirmation makes signals reliable. The delay is the price for trustworthy signals.
Want faster? Drop Fractal Periods to 2-3 (more signals, less confirmation).
HOW I TRADE IT
My /MNQ Scalping (1-3 min charts):
LONG: BUY label appears (down fractal + maybe morning star/engulfing) → Check RSI crossing up from oversold (<30) → Confirm with volume → Long with stop below fractal low → Target 1-2R
SHORT: SELL label (up fractal + maybe evening star) → RSI from overbought → Short with stop above
Filter: Only longs in uptrends (watch the MA). Exit partials if momentum fades.
Best Timeframes: 1-5 min for futures scalping. Works on 15 min for swings but for pure scalping, stay under 5 min in high-vol sessions.
SETTINGS I USE
Standard Setup:
Length: 24, Smoothing: 3
Auto MA: ON, Multiplier: 1-2
Fractal Periods: 5 (good confirmation)
Choppy Days:
Smoothing to 5
Aggressive:
Fractal Periods to 3
Pro Tip: Pair with volume or price EMA. Love when fractal BUY + engulfing bull align. Use Candle Trend style. Test on demo first.
KEY SETTINGS
RSI: Length (24), Smoothing (3), Auto MA, Style (Candle/Candle Trend)
Fractals: Periods (5 = more reliable, 3 = faster/riskier), Label colors/sizes, Offsets
Alerts: All signals fire only on confirmed, non-repainting events
DISCLAIMERS
⚠️ Tool, not a complete system - use proper risk management
⚠️ Signals have delay for reliability - not for instant entries
⚠️ Best with price action, volume, other analysis
⚠️ Test on demo before live trading
Questions? Comment below!
NPR21
RSI Chebyshev Pro with Goldilocks Fractals - NR [NPR21]RSI Chebyshev Pro with Goldilocks Fractals - Non-Repaint
==================================================================================
**CHART INFORMATION**
The example chart shown displays:
- Instrument: /MNQ (Micro E-mini Nasdaq-100 Futures)
- Timeframe: 2-minute
- Indicator: RSI Chebyshev Pro with Goldilocks Fractals - NR
==================================================================================
═════════════════════════════════════════════════════════════
THE PROBLEM
Standard RSI is too choppy and noisy – it whipsaws all over the place in volatile markets like futures, giving false oversold/overbought signals that burn you on entries. I was sick of missing real reversals or getting stopped out on fakeouts. I wanted something smoother that still catches the big momentum shifts without lagging too much, plus actual market structure to make it more reliable for quick trades.
═════════════════════════════════════════════════════════════
WHAT MAKES THIS UNIQUE
Unlike basic RSI indicators that use simple moving average smoothing, this combines several advanced techniques that aren't commonly found together:
1. Chebyshev Type I Filtering - Signal processing mathematics (not basic EMAs) that kills noise while keeping real swings sharp. Most RSI smoothing just blurs everything - this keeps responsiveness without the chop.
2. MAMA Adaptive Period - The moving average adapts to actual market cycles using the MESA algorithm, not fixed periods that lag in changing conditions.
3. RSI Pivot Fractals - These aren't price fractals slapped onto RSI. The fractals detect pivots directly on RSI values at extreme levels, with signals appearing back at the exact pivot bar (not current bar), showing you where the actual reversal happened.
4. True Non-Repainting Implementation - Signals appear delayed BUT locked at the historical pivot location forever. What you see in backtests is exactly what appeared live - no vanishing signals, no shifting.
5. All-in-One Integration - Instead of running 3-4 separate indicators (RSI + fractals + patterns + smoothing), everything works together in a single, optimized calculation with confluence built in.
This isn't just RSI with some Williams Fractals thrown on top - it's a complete rethink of how to identify high-probability RSI reversals using signal processing and adaptive algorithms.
═════════════════════════════════════════════════════════════
ORIGIN & ENHANCEMENTS
Original Source: ChartPrime RSI Chebyshev indicator
Converted & Enhanced by: NPR21
What I Added:
✅ Converted to Pine Script v6 - Made this available to TradingView traders
✅ Goldilocks Fractals - RSI alone doesn't tell you about price structure. These fractals nail those "just right" pivot points where highs/lows confirm. I kept seeing RSI extremes that reversed hard when they lined up with fractals - this was the missing piece for confluence.
✅ 100% Non-Repainting - I've been burned by repainters. You'd backtest something, looks amazing, then live it vanishes or shifts. Lost real money on that. This is rock-solid: signals show delayed but once they're there, they're locked forever. Makes backtesting trustworthy.
✅ Candlestick Patterns - Engulfing, Morning Star, Evening Star detection for confluence
✅ Customizable Visuals - BUY/SELL labels, multiple display styles, full color/size control
✅ Complete Alert System - Get notified on all signal types
═════════════════════════════════════════════════════════════
HOW IT WORKS
Chebyshev Filtering:
Like putting noise-canceling on your RSI – smooths out jittery ups and downs from random price spikes without flattening into useless lag. It's signal processing math that keeps important swings sharp while killing BS noise. Way better than simple EMA smoothing that blurs everything.
The Components:
Ultra-Smooth RSI - Chebyshev Type I filtering + adaptive MAMA algorithm
Goldilocks Fractals - Pivot detection confirmed after N bars (default 5)
Pattern Recognition - Detects Engulfing, Morning/Evening Star patterns
Visual Styles - Candle Trend (hollow green/solid red) or traditional candles
═════════════════════════════════════════════════════════════
SIGNAL DELAY vs REPAINTING
✅ THIS HAS SIGNAL DELAY (GOOD) - NOT REPAINTING (BAD)
Signal Delay:
Signals appear after N bars (default 5 bar delay)
Once visible, NEVER disappears or moves
Perfect for backtesting - 100% reliable
What you see in history is what you'd see live
Why the Delay:
To confirm a pivot, we need to see price didn't go lower/higher in the next N bars. This confirmation makes signals reliable. The delay is the price for trustworthy signals.
Want faster? Drop Fractal Periods to 2-3 (more signals, less confirmation).
════════════════════════════════════════════════════════════
HOW I TRADE IT
My /MNQ Scalping (1-3 min charts):
LONG: BUY label appears (down fractal + maybe morning star/engulfing) → Check RSI crossing up from oversold (<30) → Confirm with volume → Long with stop below fractal low → Target 1-2R
SHORT: SELL label (up fractal + maybe evening star) → RSI from overbought → Short with stop above
Filter: Only longs in uptrends (watch the MA). Exit partials if momentum fades.
Best Timeframes: 1-5 min for futures scalping. Works on 15 min for swings but for pure scalping, stay under 5 min in high-vol sessions.
═════════════════════════════════════════════════════════════
SETTINGS I USE
Standard Setup:
Length: 24, Smoothing: 3
Auto MA: ON, Multiplier: 1-2
Fractal Periods: 5 (good confirmation)
Choppy Days: Smoothing to 5
Aggressive: Fractal Periods to 3
Pro Tip: Pair with volume or price EMA. Love when fractal BUY + engulfing bull align. Use Candle Trend style. Test on demo first.
═════════════════════════════════════════════════════════════
KEY SETTINGS
RSI: Length (24), Smoothing (3), Auto MA, Style (Candle/Candle Trend)
Fractals: Periods (5 = more reliable, 3 = faster/riskier), Label colors/sizes, Offsets
Alerts: All signals fire only on confirmed, non-repainting events
═════════════════════════════════════════════════════════════
DISCLAIMERS
⚠️ Tool, not a complete system - use proper risk management
⚠️ Signals have delay for reliability - not for instant entries
⚠️ Best with price action, volume, other analysis
⚠️ Test on demo before live trading
═════════════════════════════════════════════════════════════
Questions? Comment below!
NPR21
Alert vdv2Alert Vdv (shoulders and head) in a Strong mommentum for the other Symbol
1. There is a strong wave including many same color bars.
2. There is Vdv pattern inside that wave with the same dirrection.
Alert vdvAlert Vdv (shoulders and head) in a Strong mommentum.
1. There is a strong wave including many same color bars.
2. There is Vdv pattern inside that wave with the same dirrection.






















