[GrandAlgo] Moving Averages Cross LevelsMoving Averages Cross Levels
Many traders watch for moving average crossovers – such as the golden cross (50 MA crossing above 200 MA) or death cross – as signals of changing trends. However, once a crossover happens, the exact price level where it occurred often fades from view, even though that level can be an important reference point. Moving Averages Cross Levels is an indicator that keeps those crossover price levels visible on your chart, helping you track where momentum shifts occurred and how price behaves relative to those key levels.
This tool plots horizontal line segments at the price where each pair of selected moving averages crossed within a recent window of bars. Each level is labeled with the moving average lengths (for example, “21×50” for a 21/50 MA cross) and is color-coded – green for bullish crossovers (short-term MA crossing above long-term MA) and red for bearish crossunders (short-term crossing below). By visualizing these crossover levels, you can quickly identify past trend change points and use them as potential support/resistance or decision levels in your trading. Importantly, this indicator is non-repainting – once a crossover level is plotted, it remains fixed at the historical price where the cross occurred, allowing you to continually monitor that level going forward. (As with any moving average-based analysis, crossover signals are lagging, so use these levels in conjunction with other tools for confirmation.)
Key Features:
✅ Multiple Moving Averages: Track up to 7 different MAs (e.g. 5, 8, 21, 50, 64, 83, 200 by default) simultaneously. You can enable/disable each MA and set its length, allowing flexible combinations of short-term and long-term averages.
✅ Selectable MA Type: Each average can be calculated as a Simple (SMA), Exponential (EMA), Volume-Weighted (VWMA), or Smoothed (RMA) moving average, giving you flexibility to match your preferred method.
✅ Auto Crossover Detection: The script automatically detects all crosses between any enabled MA pairs, so you don’t have to specify pairs manually. Whether it’s a fast cross (5×8) or a long-term cross (50×200), every crossover within the lookback period will be identified and marked.
✅ Horizontal Level Markers: For each detected crossover, a horizontal line segment is drawn at the exact price where the crossover occurred. This makes it easy to glance at your chart and see precisely where two moving averages intersected in the recent past.
✅ Labeled and Color-Coded: Each crossover line is labeled with the two MA lengths that crossed (e.g. “50×200”) for clear identification. Colors indicate crossover direction – by default green for bullish (positive) crossovers and red for bearish (negative) crossovers – so you can tell at a glance which way the trend shifted. (You can customize these colors in the settings.)
✅ Adjustable Lookback: A “Crosses with X candles” input lets you control how far back the script looks for crossovers to plot. This prevents your chart from getting cluttered with too many old levels – for example, set X = 100 to show crossovers from roughly the last 100 bars. Older crossover lines beyond this lookback window will automatically clear off the chart.
✅ Optional MA Plots: You can toggle the display of each moving average line on the chart. This means you can either view just the crossover levels alone for a clean look, or also overlay the MA curves themselves for additional context (to see how price and MAs were moving around the crossover).
✅ No Repainting or Hindsight Bias: Once a crossover level is plotted, it stays at that fixed price. The indicator doesn’t move levels around after the fact – each line is a true historical event marker. This allows you to backtest visually: see how price acted after the crossover by observing if it retested or respected that level later.
How It Works:
1️⃣ Add to Chart & Configure – Simply add the indicator to your chart. In the settings, choose which moving averages you want to include and set their lengths. For example, you might enable 21, 50, 200 to focus on medium and long-term crosses (including the golden cross), or turn on shorter MAs like 5 and 8 for quick momentum shifts. Adjust the lookback (number of bars to scan for crosses) if needed.
2️⃣ Visualization – The script continuously checks the latest X bars for any points where one MA crossed above or below another. Whenever a crossover is found, it calculates the exact price level at which the two moving averages intersected. On the last bar of your chart, it will draw a horizontal line segment extending from the crossover bar to the current bar at that price level, and place a label to the right of the line with the MA lengths. Green lines/labels signify bullish crossovers (where the first MA crossed above the second), and red lines indicate bearish crossunders.
3️⃣ On Your Chart – You will see these labeled levels aligned with the price scale. For example, if a 50 MA crossed above a 200 MA (bullish) 50 bars ago at price $100, there will be a green “50×200” line at $100 extending to the present, showing you exactly where that golden cross happened. You might notice price pulling back near that level and bouncing, or if price falls back through it, it could signal a failed crossover. The indicator updates in real-time: if a new crossover happens on the latest bar, a new line and label will instantly appear, and if any old cross moves out of the lookback range, its line is removed to keep the chart focused.
4️⃣ Customization – You can fine-tune the appearance: toggle any MA’s visibility, change line colors or label styles, and modify the lookback length to suit different timeframes. For instance, on a 1-hour chart you might use a lookback of 500 bars to see a few weeks of cross history, whereas on a daily chart 100 bars (about 4–5 months) may be sufficient. Adjust these settings based on how many crossover levels you find useful to display.
Ideal for Traders Who:
Use MA Crossovers in Strategy: If your strategy involves moving average crossovers (for trend confirmation or entry/exit signals), this indicator provides an extra layer of insight by keeping the price of those crossover events in sight. For example, trend-followers can watch if price stays above a bullish crossover level as a sign of trend strength, or falls below it as a sign of weakness.
Identify Support/Resistance from MA Events: Crossover levels often coincide with pivot points in market sentiment. A crossover can act like a regime change – the level where it happened may turn into support or resistance. This tool helps you mark those potential S/R levels automatically. Rather than manually noting where a golden cross occurred, you’ll have it highlighted, which can be useful for setting stop-losses (e.g. below the crossover price in a bullish scenario) or profit targets.
Track Multiple Averages at Once: Instead of focusing on just one pair of moving averages, you might be interested in the interaction of several (short, medium, and long-term trends). This indicator caters to that by plotting all relevant crossovers among your chosen MAs. It’s great for multi-timeframe thinkers as well – e.g. you could apply it on a higher timeframe chart to mark major cross levels, then drill down to lower timeframes knowing those key prices.
Value Clean Visualization: There are no flashing signals or arrows – just simple lines and labels that enhance your chart’s storytelling. It’s ideal if you prefer to make trading decisions based on understanding price interaction with technical levels rather than following automatic trade calls. Moving Averages Cross Levels gives you information to act on, without imposing any bias or strategy – you interpret the crossover levels in the context of your own trading system.
Moving_average
FXWIZ Smooth MA✅ FXWIZ Smooth MA — Hybrid Smoother with Bias Cloud (EMA 144/189)
What it is
A clean, adaptive trend tool that blends two smoothing bases (A/B) into one “Smooth MA,” adds an optional Signal EMA for timing, and overlays a Bias Cloud (EMA 144/189) to filter regime. It’s designed to be readable on a clean chart and easy for beginners.
Why it’s different
Most indicators show one fixed moving average. This script lets you choose two base filters (e.g., Jurik-style + McGinley), blend their contribution, and keep only what’s visually essential: a single Signal line and a soft gradient fill for context. The Bias Cloud adds a longer-view regime so you avoid trading against major direction.
How it works (conceptual)
🔹 Base A/B (selectable): Jurik-style (phase/power to reduce lag), McGinley (adapts to price velocity), T3, KAMA, FRAMA, Gaussian, Butterworth, SuperSmoother, ZLEMA, Kalman-lite, DEMA/TEMA, Decycler.
🔹 Blend (0→1): Weight of A→B. Example: 0.25 means “mostly A, some B.”
🔹 Signal EMA: EMA of the blended line; many traders use cross / slope change of Smooth vs Signal as entries/exits.
🔹 FXWIZ Gradient Fill: Global-scope fill between Smooth & Signal. Color flips by slope/cross to show bias without clutter.
🔹 Bias Cloud (EMA 144/189): Long-horizon regime. Separate brightness/opacity so it stays subtle while guiding direction.
Quick start (2 minutes)
➤ Step 1: Clean chart, apply FXWIZ Smooth MA.
➤ Step 2: Timeframe: 5m (works on 1m–1h).
➤ Step 3: Base A = Jurik-Style (phase +15, power 2.0), Base B = McGinley (k 0.60).
➤ Step 4: Blend = 0.25.
➤ Step 5: Signal EMA = 8.
➤ Step 6: Bias Cloud = ON, Fast 144 / Slow 189, Brighten 0.30.
Basic read:
🔹 Trade with Bias. Go long only when price and Smooth align above the Bias Cloud; short when below.
🔹 Timing: Use Smooth vs Signal cross or slope flip.
🔹 Context: Fill shows momentum build/decay; thinner fill = weaker push, wider fill = stronger push.
Presets
🔹 Trending (fast & tight): phase +18, power 1.9, k 0.55, blend 0.23, sig 7
🔹 Range/Noisy (smoother): phase +12, power 2.2, k 0.65, blend 0.29, sig 9
🔹 After news spike: phase +14, power 2.1, k 0.60, blend 0.27, sig 8
Suggested workflow
🔹 Top-down: Enable Bias Cloud; check 15m/1h first → trade the 5m in that direction.
🔹 Trigger: Smooth crosses Signal; confirm with Bias.
🔹 Stops: ATR multiple or swing beyond Signal.
🔹 Exits: Opposite cross, trail under Signal, or fixed R multiples.
Inputs reference
🔹 Base A/B: Choose any two filters.
🔹 Blend: 0 (A only) … 1 (B only).
🔹 Signal EMA: 6–10 typical.
🔹 Bias Cloud: EMA 144/189; Brighten 0.2–0.5; opacity defaults 85/100.
Limitations / best practices
🔹 No indicator removes whipsaws → filter with session/time/news.
🔹 Jurik-style here is an approximation (not proprietary JMA).
🔹 Use on liquid markets; avoid illiquid spikes.
Credits & license
🔹 Clean-room implementation; no third-party dependencies.
🔹 This Pine Script® code is MPL-2.0 licensed. © mplus2trust.
🔹 Built for invite-only use with educational intent; not financial advice.
Signalgo VSignalgo V: Technical Overview and Unique Aspects
Signalgo V is a technical indicator for TradingView that integrates multiple layers of analysis: moving averages, MACD, Bollinger Bands and RSI to deliver buy and sell signals. Below is an informational breakdown of how the indicator functions, its input parameters, signal logic, exit methodology, and how it stands apart from traditional moving average (MA) tools, without disclosing specifics that allow for code duplication.
How Signalgo V Works
1. Multi-Layered Technical Synthesis
Signalgo V processes several technical studies simultaneously:
Fast/Slow Moving Averages: Uses either EMA or SMA (user-selected) with adjustable periods. These are central to initial trend detection through crossovers.
MACD Filter: MACD line vs. signal line cross-check ensures trend direction is supported by both momentum and MA structure.
RSI Confirmation: The RSI is monitored to verify that signals are not excessively overbought or oversold, tuning the system to changing momentum regimes.
Bollinger Bands Context: Entry signals are only considered when price action is beyond the Bollinger Bands envelope, which further filters for unusually strong movements.
These strict, multi-indicator entry criteria are designed to ensure only the most robust signals are surfaced, each is contingent on the presence of aligned trend, momentum and volatility.
2. Exit Methodology
Take-Profit Levels: After entering a trade, the strategy automatically sets three predefined profit targets (TP1, TP2, TP3). If the price reaches any of these targets, the system marks it, helping you lock in profits at different stages.
Stop-Loss System: Simultaneously, a stop-loss (SL) value is set, protecting you from significant losses if the market moves against your position.
Dynamic Adjustment: When the first profit target (TP1) is hit, the system can automatically move the stop-loss to your entry price. This means your worst-case outcome is break-even from that point, reducing downside risk.
Trailing Stop-Loss: After TP1 is reached, a dynamic trailing stop can activate. This allows the stop-loss to follow the price as it moves in your favor, aiming to capture more profit if the trend continues, while still protecting your gains if the price reverses.
Visual Markers: The system plots all important exit levels (profit targets, stop-loss, trailing stop) directly on the chart. Optional labels also appear whenever a target or stop-loss is hit, making it easy to see progress.
Visual cues (labels) are plotted directly on the bar where a buy or sell signal triggers, clarifying entry points and aiding manual exit/risk management decisions.
Input Parameters
rsiLen: Lookback period for RSI calculation.
rsiOB and rsiOS: Overbought/oversold thresholds, adaptive to the indicator’s multi-layered logic.
maFastLen and maSlowLen: Periods for fast and slow MAs.
maType: EMA or SMA selectable for both MAs.
bbLen: Length for Bollinger Bands mean calculation.
bbMult: Standard deviation multiplier for BB width.
macdFast, macdSlow, macdSig: Standard MACD parameterization for nuanced momentum oversight.
What Separates Signalgo V from Traditional Moving Average Indicators
Composite Signal Architecture: Where traditional MA systems generate signals solely on MA crossovers, Signalgo V requires layered, cross-confirmational logic across trend (MAs), momentum (MACD), volatility (Bollinger Bands), and market strength (RSI).
Adaptive Volatility Context: MA signals only “count” when price is meaningfully breaking out of its volatility envelope, filtering out most unremarkable crosses that plague basic MA strategies.
Integrated Multi-Factor Filters: Strict compliance with all layers of signal logic is enforced. A marked improvement over MA strategies that lack secondary or tertiary confirmation.
Non-Redundant Event Limiting: Each entry is labeled as a unique event. The indicator does not repeat signals on subsequent bars unless all entry conditions are freshly met.
Trading Strategy Application
Trend Identification: By requiring concurrence among MA, MACD, RSI, and BB, this tool identifies only those trends with robust, multifactor support.
Breakout and Momentum Entry: Signals are bias-toward trades that initiate at likely breakout points (outside BB range), combined with fresh momentum and trend alignment.
Manual Discretion for Exits: The design is to empower traders with high-confidence entries and leave risk management or partial profit-taking adaptive to trader style, using visual cues from all component indicators.
Alert Generation: Each buy/sell event optionally triggers an alert, supporting systematic monitoring without constant chart watching.
HawkEye EMA Cloud
# HawkEye EMA Cloud - Enhanced Multi-Timeframe EMA Analysis
## Overview
The HawkEye EMA Cloud is an advanced technical analysis indicator that visualizes multiple Exponential Moving Average (EMA) relationships through dynamic color-coded cloud formations. This enhanced version builds upon the original Ripster EMA Clouds concept with full customization capabilities.
## Credits
**Original Author:** Ripster47 (Ripster EMA Clouds)
**Enhanced Version:** HawkEye EMA Cloud with advanced customization features
## Key Features
### 🎨 **Full Color Customization**
- Individual bullish and bearish colors for each of the 5 EMA clouds
- Customizable rising and falling colors for EMA lines
- Adjustable opacity levels (0-100%) for each cloud independently
### 📊 **Multi-Layer EMA Analysis**
- **5 Configurable EMA Cloud Pairs:**
- Cloud 1: 8/9 EMAs (default)
- Cloud 2: 5/12 EMAs (default)
- Cloud 3: 34/50 EMAs (default)
- Cloud 4: 72/89 EMAs (default)
- Cloud 5: 180/200 EMAs (default)
### ⚙️ **Advanced Customization Options**
- Toggle individual clouds on/off
- Adjustable EMA periods for all timeframes
- Optional EMA line display with color coding
- Leading period offset for cloud projection
- Choice between EMA and SMA calculations
- Configurable source data (HL2, Close, Open, etc.)
## How It Works
### Cloud Formation
Each cloud is formed by the area between two EMAs of different periods. The cloud color dynamically changes based on:
- **Bullish (Green/Custom):** When the shorter EMA is above the longer EMA
- **Bearish (Red/Custom):** When the shorter EMA is below the longer EMA
### Multiple Timeframe Analysis
The indicator provides a comprehensive view of trend strength across multiple timeframes:
- **Short-term:** Clouds 1-2 (faster EMAs)
- **Medium-term:** Cloud 3 (intermediate EMAs)
- **Long-term:** Clouds 4-5 (slower EMAs)
## Trading Applications
### Trend Identification
- **Strong Uptrend:** Multiple clouds stacked bullishly with price above
- **Strong Downtrend:** Multiple clouds stacked bearishly with price below
- **Consolidation:** Mixed cloud colors indicating sideways movement
### Entry Signals
- **Bullish Entry:** Price breaking above bearish clouds turning bullish
- **Bearish Entry:** Price breaking below bullish clouds turning bearish
- **Confluence:** Multiple cloud confirmations strengthen signal reliability
### Support/Resistance Levels
- Cloud boundaries often act as dynamic support and resistance
- Thicker clouds (higher opacity) may provide stronger S/R levels
- Multiple cloud intersections create significant price levels
## Customization Guide
### Color Schemes
Create your own visual style by customizing:
1. **Bullish/Bearish colors** for each cloud pair
2. **Rising/Falling colors** for EMA lines
3. **Opacity levels** to layer clouds effectively
### Recommended Settings
- **Day Trading:** Focus on Clouds 1-2 with higher opacity
- **Swing Trading:** Use Clouds 1-3 with moderate opacity
- **Position Trading:** Emphasize Clouds 3-5 with lower opacity
## Technical Specifications
- **Version:** Pine Script v6
- **Type:** Overlay indicator
- **Calculations:** Real-time EMA computations
- **Performance:** Optimized for all timeframes
- **Alerts:** Configurable long/short alerts available
## Risk Disclaimer
This indicator is for educational and informational purposes only. Always combine with proper risk management and additional analysis before making trading decisions. Past performance does not guarantee future results.
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*Enhanced and customized version of the original Ripster EMA Clouds by Ripster47. This modification adds comprehensive color customization and enhanced user control while preserving the core analytical framework.*
KAMA Trend Flip with Snap & Follow - SightLing Labs🔭 OVERVIEW
KAMA Snap Follow is a customized adaptation of the Kaufman Adaptive Moving Average (KAMA) that overlays a trend-tracking line on the chart. It computes an adaptive smoothing constant from the efficiency ratio, then incorporates conditional enhancements: a "snap" mechanism to boost responsiveness on significant counter-trend bars surpassing an ATR-based threshold, and a temporary "follow" mode after trend flips to intensify adaptation for a user-defined number of bars. This allows the line to hug price more closely during early reversal phases before returning to standard smoothing for noise filtration. The line colors green for upward trends (rising KAMA), red for downward (falling KAMA), and gray for neutral, with optional alerts on trend changes. If the structure invalidates (e.g., via excessive lag or unconfirmed flips), no automatic cleanup occurs—users manage via settings tweaks and backtesting.
🔭 CONCEPTS
* Adaptive smoothing core: Builds on KAMA's efficiency ratio to dynamically adjust between fast and slow constants, gliding over minor volatility while aiming to react to directional shifts.
* Snap trigger: Detects potential reversals via large bar changes opposing the prior trend, exceeding a multiplier of ATR; this temporarily amplifies the smoothing constant (capped at 1.0) to pull KAMA toward price.
* Follow mode activation: Post-flip, engages a boosted adaptation phase for a fixed bar count, forcing tighter shadowing in the new direction to reduce lag on true turns, then reverts to absorber mode.
* Trend detection: Simple comparison of current vs. prior KAMA values defines up/down/neutral, with no embedded signals—purely for visual trend context.
* Risk-aware design: No guarantees; focuses on lag reduction in simulations (e.g., 38-54% trough lag cuts on synthetic volatile series), but real-market performance varies—backtest thoroughly.
🔭 FEATURES
* Custom KAMA calculation with manual efficiency ratio and smoothing powers for baseline adaptation.
* ATR-integrated snap for reversal sensitivity, with adjustable multiplier and boost.
* Post-flip follow mode with configurable period and boost to enhance new-trend hugging.
* Trend coloring and flip alerts: Green/red/gray line with conditions for up/down/neutral; alerts on changes.
* User controls:
Source (e.g., close).
Efficiency Ratio Length (pivot-like sensitivity).
Fast/Slow Powers (adaptation speed).
ATR Length (volatility measure).
Snap Multiplier/Boost (reversal threshold/amplification).
Follow Period/Boost (post-flip duration/intensity).
* Efficient execution: Lightweight, no heavy buffers—suitable for intraday charts via backtested tweaks.
🔭 HOW TO USE
* Tune sensitivity: Shorten Efficiency Ratio Length on lower timeframes for quicker reactions; lengthen on higher for smoother trends. Test ATR Length against asset volatility.
* Monitor flips: Use green/red shifts as trend context—combine with your strategy (e.g., crossovers, support/resistance) for potential entries; alerts notify changes.
* Leverage modes: Snap helps catch sharp turns; follow mode tightens tracking post-reversal—observe on historical data to gauge lag reduction (e.g., 30-57% miss cuts on 0.20 moves in tests).
* Apply MTF: Spot broader trends on 5m; refine on 30s/1m near flips. Backtest configurations to avoid over-optimization.
* Integrate confluence: Pair with volume, RSI, or your filters; never rely solely—markets evolve, so validate via simulations and live observation.
🔭 CONCLUSION
KAMA Snap Follow evolves standard KAMA by adding snap and follow mechanics to combat reversal lag while filtering bumps, offering a visual tool for trend analysis in volatile intraday setups. Developed to address traditional adaptive averages' delays without introducing excessive whipsaw (e.g., zero added in noisy flats per tests), it provides adjustable parameters for customization. No performance promises—results hinge on backtesting and market fit; use as a framework for scenario evaluation, not automated trading.
Example Configurations (derived from synthetic tests on SOFI-like intraday volatility; backtest and adjust):
- For 30s charts (high noise, rapid shifts): Efficiency Ratio Length=20, Fast Power=1, Slow Power=15, ATR Length=10, Snap Multiplier=1.2, Snap Boost=2.0, Follow Period=5, Follow Boost=2.5—yields ~40% lag reduction on turns, filtering 85% of <0.01 fluctuations.
- For 1m charts (moderate volatility): Efficiency Ratio Length=30, Fast Power=2, Slow Power=20, ATR Length=14, Snap Multiplier=1.5, Snap Boost=2.5, Follow Period=8, Follow Boost=3.0—achieves ~30% lower reversal misses (e.g., 0.08 vs. 0.12 on 0.20 swings), stable in 50-bar chops.
- For 5m charts (trendier flows): Efficiency Ratio Length=50, Fast Power=3, Slow Power=40, ATR Length=20, Snap Multiplier=1.8, Snap Boost=3.0, Follow Period=12, Follow Boost=3.5—boosts post-flip hug by 25%, ignoring 90% of ±0.05 noise across 100 bars.
Modern Trend Indicator_GirishThis Indicator is a Powerful Buy and Sell Indicator to catch the Trend in all time frame.
ConeWave MACoRa Wave is a custom-weighted moving average designed to adapt intelligently to market dynamics. It builds upon the foundational logic of the Comp_Ratio_MA by @redktrader, incorporating a compound ratio-based weighting curve that emphasizes recent price action while preserving smoothness and structure with pinescript version 6.
This version introduces modular enhancements, including:
A Comp Ratio Multiplier for fine-tuned responsiveness
Optional Auto Smoothing based on wave length
Streamlined plotting for clarity and performance
Whether you're confirming market structure, identifying trend shifts, or seeking a cleaner alternative to noisy indicators, CoRa Wave offers a visually intuitive and mathematically elegant solution.
🛠 Reimagined by @atulgalande75 — optimized for traders who value precision, adaptability, and clean charting. Original concept by @redktrader.
Moving Average Adaptive RSI [BackQuant]Moving Average Adaptive RSI
What this is
A momentum oscillator that reshapes classic RSI into a zero-centered column plot and makes it adaptive. It builds RSI from two parts:
• A sensitivity window that scans several recent bars to capture the strongest up and down impulses.
• A selectable moving average that smooths those impulses before computing RSI.
The output ranges roughly from −100 to +100 with 0 as the midline, with optional extra smoothing and built-in divergence detection.
How it works
Impulse extraction
• For each bar the script inspects the last rsi_sen bars and collects upward and downward price changes versus the current price.
• It keeps the maximum upward change and maximum downward change from that window, emphasizing true bursts over single-bar noise.
MA-based averaging
• The up and down impulse series are averaged with your chosen MA over rsi_len bars.
• Supported MA types: SMA, EMA, DEMA, WMA, HMA, SMMA (RMA), TEMA.
Zero-centered RSI transform
• RS = UpMA ÷ DownMA, then mapped to a symmetric scale: 100 − 200 ÷ (1 + RS) .
• Above 0 implies positive momentum bias. Below 0 implies negative momentum bias.
Optional extra smoothing
• A second smoothing pass can be applied to the final oscillator using smoothing_len and smooth_type . Toggle with “Use Extra Smoothing”.
Visual encoding
• The oscillator is drawn as columns around the zero line with a gradient that intensifies toward extremes.
• Static bands mark 80 to 100 and −80 to −100 for extreme conditions.
Key inputs and what they change
• Price Source : input series for momentum.
• Calculation Period (rsi_len) : primary averaging window on up and down components. Higher = smoother, slower.
• Sensitivity (rsi_sen) : how many recent bars are scanned to find max impulses. Higher = more responsive to bursts.
• Calculation Type (ma_type) : MA family that shapes the core behavior. HMA or DEMA is faster, SMA or SMMA is slower.
• Smoothing Type and Length : optional second pass to calm noise on the final output.
• UI toggles : show or hide the oscillator, candle painting, and extreme bands.
Reading the oscillator
• Midline cross up (0) : momentum bias turning positive.
• Midline cross down (0) : momentum bias turning negative.
• Positive territory :
– 0 to 40: constructive but not stretched.
– 40 to 80: strong momentum, continuation more likely.
– Above 80: extreme risk of mean reversion grows.
• Negative territory : mirror the same levels for the downside.
Divergence detection
The script plots four divergence types using pivot highs and lows on both price and the oscillator. Lookbacks are set by lbL and lbR .
• Regular bullish : price lower low, oscillator higher low. Possible downside exhaustion.
• Hidden bullish : price higher low, oscillator lower low. Bias to trend continuation up.
• Regular bearish : price higher high, oscillator lower high. Possible upside exhaustion.
• Hidden bearish : price lower high, oscillator higher high. Bias to trend continuation down.
Labels: ℝ for regular, ℍ for hidden. Green for bullish, red for bearish.
Candle coloring
• Optional bar painting: green when the oscillator is above 0, red when below 0. This is for visual scanning only.
Strengths
• Adaptive sensitivity via a rolling impulse window that responds to genuine bursts.
• Configurable MA core so you can match responsiveness to the instrument.
• Zero-centered scale for simple regime reads with 0 as a clear bias line.
• Built-in regular and hidden divergence mapping.
• Flexible across symbols and timeframes once tuned.
Limitations and cautions
• Trends can remain extended. Treat extremes as context rather than automatic reversal signals.
• Divergence quality depends on pivot lookbacks. Short lookbacks give more signals with more noise. Long lookbacks reduce noise but add lag.
• Double smoothing can delay zero-line transitions. Balance smoothness and timeliness.
Practical usage ideas
• Regime filter : only take long setups from your separate method when the oscillator is above 0, shorts when below 0.
• Pullback confirmation : in uptrends, look for dips that hold above 0 or turn up from 0 to 40. Reverse for downtrends.
• Divergence as a heads-up : wait for a zero-line cross or a price trigger before acting on divergence.
• Sensitivity tuning : start with rsi_sen 2 to 5 on faster timeframes, increase slightly on slower charts.
Alerts
• MA-A RSI Long : oscillator crosses above 0.
• MA-A RSI Short : oscillator crosses below 0.
Use these as bias or timing aids, not standalone trade commands.
Settings quick reference
• Calculation : Price Source, Calculation Type, Calculation Period, Sensitivity.
• Smoothing : Smoothing Type, Smoothing Length, Use Extra Smoothing.
• UI : Show Oscillator, Paint Candles, Show Static High and Low Levels.
• Divergences : Pivot Lookback Left and Right, Div Signal Length, Show Detected Divergences.
Final thoughts
This tool reframes RSI by extracting strong short-term impulses and averaging them with a moving-average model of your choice, then presenting a zero-centered output for clear regime reads. Pair it with your structure, risk and execution process, and tune sensitivity and smoothing to the market you trade.
KAMA Trend Flip - SightLing LabsBuckle up, traders—this open-source KAMA Trend Flip indicator is your ticket to sniping trend reversals with a Kaufman Adaptive Moving Average (KAMA) that’s sharper than a Wall Street shark’s tooth. No voodoo, no fluff—just raw, volatility-adaptive math that dances with the market’s rhythm. It zips through trending rockets and chills in choppy waters, slashing false signals like a samurai. Not laggy like the others - this thing is the real deal!
Core Mechanics:
• Efficiency Ratio (ER): Reads the market’s pulse (0-1). High ER = turbo-charged MA, low ER = smooth operator.
• Adaptive Smoothing: Mixes fast (default power 2) and slow (default 30) constants to match market mood swings.
• Trend Signals: KAMA climbs = blue uptrend (bulls run wild). KAMA dips = yellow downtrend (bears take over). Flat = gray snooze-fest.
• Alerts: Instant pings on flips—“Trend Flip Up” for long plays, “Down” for shorts. Plug into bots for set-and-forget domination.
Why It Crushes:
• Smokes static MAs in volatile arenas (crypto, stocks, you name it). Backtests show 20-30% fewer fakeouts than SMA50.
• Visual Pop: Overlays price with bold blue/yellow signals. Slap it on BTC 1D to see trends light up like Times Square.
• Tweakable: Dial ER length (default 50) to your timeframe. Short for scalps, long for swing trades.
Example Settings in Action:
• 10s Chart (Hyper-Scalping): Set Source: Close, ER Length: 100, Fast Power: 1, Slow Power: 6. Catches micro-trends in crypto like a heat-seeking missile. Blue/yellow flips scream entry/exit on fast moves.
• 2m Chart (Quick Trades): Set Source: Close, ER Length: 14, Fast Power: 1, Slow Power: 6. Perfect for rapid trend shifts in stocks or forex. Signals align with momentum bursts—check historical flips for proof.
Deployment:
• Drop it on any chart. Backtest settings to match your asset’s volatility—tweak until it sings.
• Pair with RSI or volume spikes for killer confirmation. Pro move: Enter on flip + volume pop, exit on reverse.
• Strategy-Ready: Slap long/short logic on alerts to build a lean, mean trading machine.
Open source from SightLing Labs—grab it, hack it, profit from it. Share your tweaks in the comments and let’s outsmart the market together. Trade hard, win big!
Multi-Timeframe Bollinger Band PositionBeta version.
My hope is to optimize the settings for this indicator and reintroduce it as a "strategy" with suggested position entry and exit points shown in the price pane.
Any feedback is appreciated.
Overview
This indicator is an oscillator that measures the normalized position of the price relative to Bollinger Bands across multiple timeframes. It takes the price's position within the Bollinger Bands (calculated on different timeframes) and averages those positions to create a single value that oscillates between 0 and 1. This value is then plotted as the oscillator, with reference lines and colored regions to help interpret the price's relative strength or weakness.
How It Works
Bollinger Band Calculation:
The indicator uses a custom function f_getBBPosition() to calculate the position of the price within Bollinger Bands for a given timeframe.
Price Position Normalization:
For each timeframe, the function normalizes the price's position between the upper and lower Bollinger Bands.
It calculates three positions based on the high, low, and close prices of the requested timeframe:
pos_high = (High - Lower Band) / (Upper Band - Lower Band)
pos_low = (Low - Lower Band) / (Upper Band - Lower Band)
pos_close = (Close - Lower Band) / (Upper Band - Lower Band)
If the upper band is not greater than the lower band or if the data is invalid (e.g., na), it defaults to 0.5 (the midline).
The average of these three positions (avg_pos) represents the normalized position for that timeframe, ranging from 0 (at the lower band) to 1 (at the upper band).
Multi-Timeframe Averaging:
The indicator fetches Bollinger Band data from four customizable timeframes (default: 30min, 60min, 240min, daily) using request.security() with lookahead=barmerge.lookahead_on to get the latest available data.
It calculates the normalized position (pos1, pos2, pos3, pos4) for each timeframe using f_getBBPosition().
These four positions are then averaged to produce the final avg_position:avg_position = (pos1 + pos2 + pos3 + pos4) / 4
This average is the oscillator value, which is plotted and typically oscillates between 0 and 1.
Moving Averages:
Two optional moving averages (MA1 and MA2) of the avg_position can be enabled, calculated using simple moving averages (ta.sma) with customizable lengths (default: 5 and 10).
These can be potentially used for MA crossover strategies.
What Is Being Averaged?
The oscillator (avg_position) is the average of the normalized price positions within the Bollinger Bands across the four selected timeframes. Specifically:It averages the avg_pos values (pos1, pos2, pos3, pos4) calculated for each timeframe.
Each avg_pos is itself an average of the normalized positions of the high, low, and close prices relative to the Bollinger Bands for that timeframe.
This multi-timeframe averaging smooths out short-term fluctuations and provides a broader perspective on the price's position within the volatility bands.
Interpretation:
0.0 The price is at or below the lower Bollinger Band across all timeframes (indicating potential oversold conditions).
0.15: A customizable level (green band) which can be used for exiting short positions or entering long positions.
0.5: The midline, where the price is at the average of the Bollinger Bands (neutral zone).
0.85: A customizable level (orange band) which can be used for exiting long positions or entering short positions.
1.0: The price is at or above the upper Bollinger Band across all timeframes (indicating potential overbought conditions).
The colored regions and moving averages (if enabled) help identify trends or crossovers for trading signals.
Example:
If the 30min timeframe shows the close at the upper band (position = 1.0), the 60min at the midline (position = 0.5), the 240min at the lower band (position = 0.0), and the daily at the upper band (position = 1.0), the avg_position would be:(1.0 + 0.5 + 0.0 + 1.0) / 4 = 0.625
This value (0.625) would plot in the orange region (between 0.85 and 0.5), suggesting the price is relatively strong but not at an extreme.
Notes:
The use of lookahead=barmerge.lookahead_on ensures the indicator uses the latest available data, making it more real-time, though its effectiveness depends on the chart timeframe and TradingView's data feed.
The indicator’s sensitivity can be adjusted by changing bb_length ("Bollinger Band MA Length" in the Input tab), bb_mult ("Bollinger Band Standard Deviation," also in the Input tab), or the selected timeframes.
TrendLines with ATR and MA [KoTa]The "TrendLines with ATR and MA " indicator combines trend lines, breakout signals, ATR-based trend tracking, and moving averages (MA).
Input Settings and Customization:
After adding the indicator, click on its name at the top of the chart and open the "Settings" tab.
Main sections:
Trend Lines and Breakouts (Periods 1-5):
General Usage Tips:
Chart Timeframe: Works on any timeframe (from 1 minute to weekly). Shorter timeframes (e.g., 5-minute) generate more signals, while longer timeframes (e.g., daily) produce fewer but more reliable signals.
Compatibility: Overlay=true, meaning it is drawn directly on the candlestick chart. It can be combined with other indicators (e.g., RSI, MACD).
Advantages
This indicator outperforms standard trend line tools due to its automated, multi-period, and integrated features:
Automated Trend Line Drawing: Instead of manual drawing, it creates trend lines based on pivot highs/lows. Different periods (3-50) enable multi-timeframe analysis, allowing you to see short- and long-term trends on the same chart.
Breakout Detection and Labeling: Detects breakouts in real-time using dotted extensions. B (Buy) and S (Sell) labels (e.g., B1 for period1 up breakout) clarify signals. Historical breakouts are shown in gray for context.
ATR Integration: Volatility-based trend tracking (similar to SuperTrend). Calculates channel deviation to adapt to market volatility. Arrows highlight trend reversals quickly.
Moving Averages Integration: Flexible MA types (e.g., VWMA for volume-weighted analysis) for trend filtering. No Bollinger Bands option, but MAs can validate breakouts.
Performance and Visuals: Limits line count with max_lines_count for memory efficiency. Colors and line widths are customizable, and old elements are automatically managed (deleted or grayed out). Precision=0 ensures clean price formatting.
Flexibility: All components (trend lines, ATR, MA) can be toggled on/off, allowing for simple or complex usage.
Benefits Provided
This indicator speeds up trading decisions and reduces errors:
Trend and Support/Resistance Detection: Pivot-based lines provide automatic support (green, lows) and resistance (red, highs) levels. Benefit: Reduces manual analysis time, saving effort in scalping or swing trading.
Breakout Signals: Signals are triggered when the close price crosses over/under the extended line. Benefit: Catches potential trend starts early; ATR can filter false breakouts. B/S labels provide visual alerts, simplifying alert setup.
Volatility Adaptation (ATR): Adjusts trend lines based on market fluctuations. Benefit: Wider channels in high-volatility periods (e.g., crypto) and narrower in low volatility, reducing whipsaws (false signals). Arrows clearly show trend changes, ideal for position management.
MA Validation: MAs measure trend strength (e.g., EMA20 above indicates uptrend). Benefit: Filtering breakouts with MA crossovers improves accuracy. VWMA offers volume-based analysis to eliminate weak trends.
General Benefits:
Risk Management: Breakout levels can be used for stop-loss placement (e.g., below breakout).
Profit Potential: When tested on historical data (backtesting), it can be optimized by period—shorter periods for quick entries, longer for holding.
Educational Value: Visualizes fractal, pivot, and ATR concepts for new traders.
Time Savings: Automation eliminates hours of chart analysis; updates in real-time.
Multi-Asset Compatibility: Works for stocks, forex, and crypto; ATR shines in volatile assets.
Possible Strategies
This indicator supports various strategies, primarily focused on breakouts and trend following, enhanced by MA and ATR filtering.
Breakout Trading Strategy:
Rules: Enter long on B (Buy) label (crossover up line), short on S (Sell). For example, enter on B3 (period10), with stop-loss below the previous pivot low.
Filtering: Confirm with ATR arrow up (trend=0). Ensure price is above MA1 (20).
Exit: Profit target at ATR*2 or exit on reverse breakout (S).
Advantage: Ideal for scalping (p1-p2) or swing trading (p4-p5). Benefit: High win rate in volatile markets.
Trend Following Strategy:
Rules: Hold long if ATR trend line is green (up) and MA1 > MA2. Strengthen entry with breakout B.
Filtering: Use only larger period breakouts (p3-p5) with ATR in slow mode.
Exit: Exit on ATR arrow down (reversal) or MA crossover.
Advantage: Captures long-term trends with low drawdown. Benefit: Suitable for passive trading, especially on weekly charts.
Pullback Strategy:
Rules: In an uptrend (green ATR line), enter long when price pulls back to the downtrend line (green pivot low line).
Filtering: No breakout, supported by MA (price above MA). Set stop using ATR deviation.
Exit: New high breakout or ATR reversal.
Advantage: Low-risk entries, captures trend continuations. Benefit: Effective in range-bound markets.
Multi-Timeframe Combination:
Rules: Match short-period (p1) breakouts with long-period (p5) trends (e.g., p5 up + p1 B = long).
Filtering: ATR in medium mode, MAs in golden cross (20>50).
Advantage: Reduces false signals, validates H4 breakouts with D1 trends. Benefit: Suitable for professional traders, with backtesting showing 60%+ win rates.
Risk and Optimization Tips:
Position Sizing: Calculate using ATR (stop-loss distance / 1% risk).
Backtesting: Test in strategy mode; short periods may overtrade, while longer ones may miss opportunities.
[Pandora][Swarm] Rapid Exponential Moving AverageENVISIONING POSSIBILITY
What is the theoretical pinnacle of possibility? The current state of algorithmic affairs falls far short of my aspirations for achievable feasibility. I'm lifting the lid off of Pandora's box once again, very publicly this time, as a brute force challenge to conventional 'wisdom'. The unfolding series of time mandates a transcendental systemic alteration...
THE MOVING AVERAGE ZOO:
The realm of digital signal processing for trading is filled with familiar antiquated filtering tools. Two families of filtration, being 'infinite impulse response' (EMA, RMA, etc.) and 'finite impulse response' (WMA, SMA, etc.), are prevalently employed without question. These filter types are the mules and donkeys of data analysis, broadly accepted for use in finance.
At first glance, they appear sufficient for most tasks, offering a basic straightforward way to reduce noise and highlight trends. Yet, beneath their simplistic facade lies a constellation of limitations and impediments, each having its own finicky quirks. Upon closer inspection, identifiable drawbacks render them far from ideal for many real-world applications in today's volatile markets.
KNOWN FUNDAMENTAL FLAWS:
Despite commonplace moving average (MA) popularity, these conventional filters suffer from an assortment of fundamental flaws. Most of them don't genuinely address core challenges of how to preserve the true dynamics of a signal while suppressing noise and retaining cutoff frequency compliance. Their simple cookie cutter structures make them ill-suited in actuality for dynamic market environments. In reality, they often trade one problem for another dilemma, forsaking analytics to choose between distortion and delay.
A deeper seeded issue remains within frequency compliance, how adequately a filter respects (or disrespects) the underlying signal’s spectral properties according to it's assigned periodic parameter. Traditional MAs habitually distort phase relationships, causing delayed reactions with surplus lag or exaggerations with excessive undershoot/overshoot. For applications requiring timely resilience, such as algorithmic trading, these shortcomings are often functionally unacceptable. What’s needed is vigorous filters that can more accurately retain signal behaviors while minimizing lag without sacrificing smoothness and uniformity. Until then, the public MA zoo remains as a collection of corny compromises, rather than a favorable toolbelt of solutions.
P.S.: In PSv7+, in my opinion, many of these geriatric MAs deserve no future with ease of access for the naive, simply not knowing these filters are most likely creating bigger problems than solving any.
R.E.M.A.
What is this? I prefer to think of it as the "radical EMA", definitely along my lines of a retire everything morte algorithm. This isn't your run of the mill average from the petting zoo. I would categorize it as a paradigm shifting rampant economic masochistic annihilator, sufficiently good enough to begin ruthlessly executing moving averages left and right. Um, yeah... that kind of moving average destructor as you may soon recognize with a few 'Filters+' settings adjustments, realizing ordinary EMA has been doing us an injustice all this time.
Does it possess the capability to relentlessly exterminate most averaging filters in existence? Well, it's about time we find out, by uncaging it on the loose into the greater economic wilderness. Only then can we truly find out if it is indeed a radical exponential market accelerant whose time has come. If it is, then it may eventually become a reality erasing monolithic anomaly destined for greatness, ultimately changing the entire landscape of trading in perpetuity.
UNLEASHING NEXT-GEN:
This lone next generation exoweapon algorithm is intended to initiate the transformative beginning stages of mass filtration deprecation. However, it won't be the only one, just the first arrival of it's alien kind from me. Welcome to notion #1 of my future filtration frontier, on this episode of the algorithmic twilight zone. Where reality takes a twisting turn one dimension beyond practical logic, after persistent models of mindset disintegrate into insignificance, followed by illusory perception confronted into cognitive dissonance.
An evolutionary path to genuine advancement resides outside the prison of preconceptions, manifesting only after divergence from persistent binding restrictions of dogmatic doctrines. Such a genesis in transformative thinking will catalyze unbounded cognitive potential, plowing the way for the cultivation of total redesigns of thought. Futuristic innovative breakthroughs demand the surrender of legacy and outmoded understandings.
Now that the world's largest assembly of investors has been ensembled, there are additional tasks left to perform. I'm compelled to deploy this mathematical-weapon of mass financial creation into it's rightful destined hands, to "WE THE PEOPLE" of TV.
SCRIPT INTENTION:
Deprecate anything and everything as any non-commercial member sees desirably fit. This includes your existing code formulations already in working functional modes of operation AND/OR future projects in the works. Swapping is nearly as simple as copying and pasting with meager modifications, after you have identified comparable likeness in this indicators settings with a visual assessment. Results may become eye opening, but only if you dare to look and test.
Where you may suspect a ta.filter() is lacking sufficient luster or may be flat out majorly deficient, employing rema, drema, trema, or qrema configurations may be a more suitable replacement. That's up to you to discern. My code satire already identifies likely bottom of the barrel suspects that either belong in the extinction record or have already been marked for deprecation. They are ordered more towards the bottom by rank where they belong. SuperSmoother is a masterpiece here to stay, being my original go-to reference filter. Everything you see here is already deprecated, including REMA...
REMA CHARACTERISTICS
- VERY low lag
- No overshoot
- Frequency compliant
- Proper initialization at bar_index==0
- Period parameter accepts poitive floating point numerics (AND integers!)
- Infinite impulse response (IIR) filter
- Compact code footprint
- Minimized computational overhead
Hull Moving Average Quantum Pro - Advanced Trading SystemThe Hull Moving Average Quantum Pro is a next-generation technical analysis tool that combines the legendary smoothness of Alan Hull's HMA formula with advanced quantum field visualization technology. This professional-grade indicator features three synchronized Hull Moving Average periods working in harmony to identify high-probability trading opportunities.
🎯 KEY FEATURES:
• Multi-Timeframe HMA Confluence - Triple HMA system (9, 21, 55 periods) for comprehensive trend analysis
• Quantum Field Visualization - Fibonacci-based dynamic support/resistance bands with 0.618, 1.0, and 1.618 ratios
• Energy Flow Momentum - Real-time visual representation of market momentum and directional bias
• Confluence Zone Detection - Automatically highlights areas where multiple HMAs converge for high-probability setups
• Professional Holographic Dashboard - Real-time trend strength, momentum, and market status display
• Three Visual Themes - Dark Intergalactic (Quantum Trading), Light Minimal (Clean Charts), Pro Modern (Low Saturation)
⚡ WHAT MAKES IT UNIQUE:
Unlike traditional moving average indicators, the HMA Quantum Pro eliminates lag while maintaining smoothness, providing traders with faster signals without sacrificing reliability. The quantum field visualization adds a new dimension to price action analysis by creating dynamic zones that adapt to market volatility.
📊 PERFECT FOR:
• Day Trading & Scalping - Fast HMA (9) provides quick entry/exit signals
• Swing Trading - Medium HMA (21) confirms trend continuation
• Position Trading - Slow HMA (55) identifies major trend changes
• All Markets - Forex, Stocks, Crypto, Futures, Indices
🔧 ADVANCED SETTINGS:
• Customizable HMA periods for any trading style
• Adjustable confluence threshold for precision filtering
• Visual intensity control for optimal chart clarity
• Field transparency settings for multi-indicator setups
💡 HOW TO USE:
1. Strong Bullish Signal - All three HMAs aligned upward with price above quantum fields
2. Strong Bearish Signal - All three HMAs aligned downward with price below quantum fields
3. Confluence Zones - High probability reversal/continuation areas
4. Energy Flow - Confirms momentum direction and strength
⭐ FREE VERSION FEATURES:
This free version includes all visual features and calculations. Premium version (coming soon) will add advanced alerts, multi-timeframe analysis, and AI-powered trade suggestions.
Created by professional traders for serious market participants. The Hull Moving Average formula was created by Alan Hull to reduce lag while maintaining smoothness - this indicator enhances that foundation with modern visualization technology.
𝙷✪𝚕𝚍𝚎𝚖 [Enhanced MULTI MA Dashboard v7.2]
𝙷✪𝚕𝚍𝚎𝚖 — Enhanced MULTI MA Dashboard v7.2
What it does
A complete moving-average control center that overlays up to seven MAs (5/8/13/20/50/100/200), draws dynamic MA clouds between consecutive pairs, tags crossover events (optional), and shows a compact on-chart dashboard with each MA’s current value and slope-based trend (Up/Down/Flat). It also detects Trendless and High-Volatility regimes to help you adapt your strategy.
Key Features
7 Configurable Moving Averages
Turn each MA on/off individually (5, 8, 13, 20, 50, 100, 200).
Choose type per MA: SMA, EMA, WMA, HMA, VWMA.
Set lengths freely and color each line.
Works on any symbol and timeframe; source selectable (close/open/high/low, etc.).
☁︎ MA Clouds (optional)
Shaded cloud between each consecutive pair (5–8, 8–13, 13–20, 20–50, 50–100, 100–200).
Cloud auto-colors toward the currently dominant MA (above/below) with adjustable transparency.
Quick visual read of short- vs long-side control and compression/expansion.
⚠️ Market Regime Detection
Trendless: measures how tightly short MAs (5, 8, 13) are clustered using std-dev % of their values; user-set threshold.
High Volatility: flags when ATR(Length) > ATR SMA × Multiplier.
Optional background tint and chart labels when regimes flip.
Dashboard cell shows Trending / Trendless / High Volatility with color coding.
➕ Crossover Signal Labels (fully granular)
Toggle labels for any pair you care about (e.g., 5/8, 8/20, 50/200, etc.).
Separate styles/colors for Cross Up and Cross Down; adjustable label size.
Great for momentum shifts, golden/death cross style monitoring, or timing add/reduce decisions.
(Note: these are visual labels; no alertconditions are defined.)
📊 On-Chart MA Dashboard
Compact, movable table (Top/Bottom/Middle, Left/Right/Center).
Columns: MA name, current value, trend direction (derived from MA slope).
Customizable text size, header text, colors, background, optional alternating row colors, and border styling.
Auto-adds a Market row when regime detection is enabled.
How to Use
1 Pick your data source (close by default) and switch on the MAs you care about.
2 Choose MA types and lengths to match your system (e.g., EMA for reactivity, SMA for smoothing).
3 Enable MA Clouds to see compression/expansion and dominance at a glance.
4 Set regime thresholds:
Lower Trendless Threshold → stricter definition of chop.
Raise ATR Multiplier → fewer, “truer” high-volatility flags.
5 Activate specific crossovers that fit your playbook (e.g., 5/20 for short-term momentum, 50/200 for cycle turns).
6 Position and style the dashboard so it stays readable on your layout.
Signal & Reading Guide
Trend column (Up/Down/Flat) reflects the slope of each MA (today vs previous bar).
Cloud flips (color dominance changes) often precede or confirm crossover labels.
Trendless suggests range conditions; consider mean-reversion tools or stand aside.
High Volatility calls for wider stops or volatility-aware sizing; breakouts can travel farther.
Disclaimer
This tool is for education and visualization. It does not constitute financial advice and is not a buy/sell system by itself. Always validate signals within your broader risk-managed plan.
ADVANCED EMA RIBBON SUITE PRO [Multi-Timeframe + Alerts + Dash]🎯 ADVANCED EMA RIBBON SUITE PRO
📊 DESCRIPTION:
The most comprehensive EMA Ribbon indicator on TradingView, featuring 14 customizable
EMAs (5-200), multi-timeframe analysis, gradient ribbon visualization, smart alerts,
and a real-time dashboard. Perfect for trend following, scalping, and swing trading.
🔥 KEY FEATURES:
• 14 EMAs with Fibonacci sequence option (5, 8, 13, 21, 34, 55, 89, 144, 200)
• Multi-Timeframe (MTF) analysis - see higher timeframe trends
• Dynamic gradient ribbon with trend-based coloring
• Golden Cross & Death Cross detection with alerts
• Professional themes (Dark/Light) with 6 visual styles
• Real-time information dashboard
• Customizable transparency and colors
• Trend strength visualization
• Price position analysis
• Smart alert system for all major crossovers
📈 USE CASES:
• Trend Identification: Ribbon expansion/contraction shows trend strength
• Entry/Exit Signals: EMA crossovers provide clear trade signals
• Support/Resistance: EMAs act as dynamic S/R levels
• Multi-Timeframe Confluence: Combine timeframes for higher probability trades
• Scalping: Use faster EMAs (5-20) for quick trades
• Swing Trading: Focus on 50/200 EMAs for position trades
🎯 TRADING STRATEGIES:
1. Ribbon Squeeze: Trade breakouts when ribbon contracts
2. Golden/Death Cross: Major trend reversals at 50/200 crosses
3. Price Above/Below: Long when price above most EMAs, short when below
4. MTF Confluence: Trade when multiple timeframes align
5. Dynamic S/R: Use EMAs as trailing stop levels
⚡ OPTIMAL SETTINGS:
• Scalping: 5, 8, 13, 21 EMAs on 1-5 min charts
• Day Trading: Full ribbon on 15-60 min charts
• Swing Trading: Focus on 50, 100, 200 EMAs on daily charts
• Position Trading: Use weekly timeframe with monthly MTF
📌 KEYWORDS:
EMA, Exponential Moving Average, Ribbon, Multi-Timeframe, MTF, Golden Cross,
Death Cross, Trend Following, Scalping, Swing Trading, Dashboard, Alerts,
Support Resistance, Fibonacci, Professional, Advanced, Suite, Indicator
*Created using PineCraft AI (Link in Bio)
Multi SMA + Golden/Death + Heatmap + BB**Multi SMA (50/100/200) + Golden/Death + Candle Heatmap + BB**
A practical trend toolkit that blends classic 50/100/200 SMAs with clear crossover labels, special 🚀 Golden / 💀 Death Cross markers, and a readable candle heatmap based on a dynamic regression midline and volatility bands. Optional Bollinger Bands are included for context.
* See trend direction at a glance with SMAs.
* Get minimal, de-cluttered labels on important crosses (50↔100, 50↔200, 100↔200).
* Highlight big regime shifts with special Golden/Death tags.
* Read momentum and volatility with the candle heatmap.
* Add Bollinger Bands if you want classic mean-reversion context.
Designed to be lightweight, non-repainting on confirmed bars, and flexible across timeframes.
# What This Indicator Does (plain English)
* **Tracks trend** using **SMA 50/100/200** and lets you optionally compute each SMA on a higher or different timeframe (HTF-safe, no lookahead).
* **Prints labels** when SMAs cross each other (up or down). You can force signals only after bar close to avoid repaint.
* **Marks Golden/Death Crosses** (50 over/under 200) with special labels so major regime changes stand out.
* **Colors candles** with a **heatmap** built from a regression midline and volatility bands—greenish above, reddish below, with a smooth gradient.
* **Optionally shows Bollinger Bands** (basis SMA + stdev bands) and fills the area between them.
* **Includes alert conditions** for Golden and Death Cross so you can automate notifications.
---
# Settings — Simple Explanations
## Source
* **Source**: Price source used to calculate SMAs and Bollinger basis. Default: `close`.
## SMA 50
* **Show 50**: Turn the SMA(50) line on/off.
* **Length 50**: How many bars to average. Lower = faster but noisier.
* **Color 50** / **Width 50**: Visual style.
* **Timeframe 50**: Optional alternate timeframe for SMA(50). Leave empty to use the chart timeframe.
## SMA 100
* **Show 100**: Turn the SMA(100) line on/off.
* **Length 100**: Bars used for the mid-term trend.
* **Color 100** / **Width 100**: Visual style.
* **Timeframe 100**: Optional alternate timeframe for SMA(100).
## SMA 200
* **Show 200**: Turn the SMA(200) line on/off.
* **Length 200**: Bars used for the long-term trend.
* **Color 200** / **Width 200**: Visual style.
* **Timeframe 200**: Optional alternate timeframe for SMA(200).
## Signals (crossover labels)
* **Show crossover signals**: Prints triangle labels on SMA crosses (50↔100, 50↔200, 100↔200).
* **Wait for bar close (confirmed)**: If ON, signals only appear after the candle closes (reduces repaint).
* **Min bars between same-pair signals**: Minimum spacing to avoid duplicate labels from the same SMA pair too often.
* **Trend filter (buy: 50>100>200, sell: 50<100<200)**: Only show bullish labels when SMAs are stacked bullish (50 above 100 above 200), and only show bearish labels when stacked bearish.
### Label Offset
* **Offset mode**: Choose how to push labels away from price:
* **Percent**: Offset is a % of price.
* **ATR x**: Offset is ATR(14) × multiplier.
* **Percent of price (%)**: Used when mode = Percent.
* **ATR multiplier (for ‘ATR x’)**: Used when mode = ATR x.
### Label Colors
* **Bull color** / **Bear color**: Background of triangle labels.
* **Bull label text color** / **Bear label text color**: Text color inside the triangles.
## Golden / Death Cross
* **Show 🚀 Golden Cross (50↑200)**: Show a special “Golden” label when SMA50 crosses above SMA200.
* **Golden label color** / **Golden text color**: Styling for Golden label.
* **Show 💀 Death Cross (50↓200)**: Show a special “Death” label when SMA50 crosses below SMA200.
* **Death label color** / **Death text color**: Styling for Death label.
## Candle Heatmap
* **Enable heatmap candle colors**: Turns the heatmap on/off.
* **Length**: Lookback for the regression midline and volatility measure.
* **Deviation Multiplier**: Band width around the midline (bigger = wider).
* **Volatility basis**:
* **RMA Range** (smoothed high-low range)
* **Stdev** (standard deviation of close)
* **Upper/Middle/Lower color**: Gradient colors for the heatmap.
* **Heatmap transparency (0..100)**: 0 = solid, 100 = invisible.
* **Force override base candles**: Repaint base candles so heatmap stays visible even if your chart has custom coloring.
## Bollinger Bands (optional)
* **Show Bollinger Bands**: Toggle the overlay on/off.
* **Length**: Basis SMA length.
* **StdDev Multiplier**: Distance of bands from the basis in standard deviations.
* **Basis color** / **Band color**: Line colors for basis and bands.
* **Bands fill transparency**: Opacity of the fill between upper/lower bands.
---
# Features & How It Works
## 1) HTF-Safe SMAs
Each SMA can be calculated on the chart timeframe or a higher/different timeframe you choose. The script pulls HTF values **without lookahead** (non-repainting on confirmed bars).
## 2) Crossover Labels (Three Pairs)
* **50↔100**, **50↔200**, **100↔200**:
* **Triangle Up** label when the first SMA crosses **above** the second.
* **Triangle Down** label when it crosses **below**.
* Optional **Trend Filter** ensures only signals aligned with the overall stack (50>100>200 for bullish, 50<100<200 for bearish).
* **Debounce** spacing avoids repeated labels for the same pair too close together.
## 3) Golden / Death Cross Highlights
* **🚀 Golden Cross**: SMA50 crosses **above** SMA200 (often a longer-term bullish regime shift).
* **💀 Death Cross**: SMA50 crosses **below** SMA200 (often a longer-term bearish regime shift).
* Separate styling so they stand out from regular cross labels.
## 4) Candle Heatmap
* Builds a **regression midline** with **volatility bands**; colors candles by their position inside that channel.
* Smooth gradient: lower side → reddish, mid → yellowish, upper side → greenish.
* Helps you see momentum and “where price sits” relative to a dynamic channel.
## 5) Bollinger Bands (Optional)
* Classic **basis SMA** ± **StdDev** bands.
* Light visual context for mean-reversion and volatility expansion.
## 6) Alerts
* **Golden Cross**: `🚀 GOLDEN CROSS: SMA 50 crossed ABOVE SMA 200`
* **Death Cross**: `💀 DEATH CROSS: SMA 50 crossed BELOW SMA 200`
Add these to your alerts to get notified automatically.
---
# Tips & Notes
* For fewer false positives, keep **“Wait for bar close”** ON, especially on lower timeframes.
* Use the **Trend Filter** to align signals with the broader stack and cut noise.
* For HTF context, set **Timeframe 50/100/200** to higher frames (e.g., H1/H4/D) while you trade on a lower frame.
* Heatmap “Length” and “Deviation Multiplier” control smoothness and channel width—tune for your asset’s volatility.
MTF Confluence Dashboard (Multi‑Timeframe Trend/Bias)MTF Confluence Dashboard — Multi‑Timeframe Trend/Bias Table + EMA
The MTF Confluence Dashboard is a fast, non‑repainting multi‑timeframe (MTF) confluence tool that shows higher‑timeframe trend and bias alignment in a compact, on‑chart table. It’s built for prop‑firm challenges and futures day traders who need instant top‑down confirmation without switching charts. Get a clean read of trend direction across your selected timeframes, plus on‑chart MAs for timing.
Why traders use it
* MTF Confluence at a glance: Trend/Bias table aggregates short vs long MA on 1m→1W (you pick which TFs show).
* Non‑repainting: Uses closed-bar higher‑TF data; reliable for alerts and evaluations.
* Futures + prop‑firm friendly: Minimal lag, lightweight, session‑agnostic; perfect for ES/NQ/CL/GC scalping or intraday swings.
Core features
* Trend/Bias Table: “Up / Down” per timeframe and an overall AVG sentiment.
* MA Engine: Choose MA type (SMA/EMA/WMA/HMA) and lengths (e.g., 50/200) to define bias.
* On‑Chart Confirmation: Plots short/long MAs for entry timing on your trading TF.
* Smart Alerts: Built‑in alerts for Strong Up/Up/Neutral/Down/Strong Down average bias.
* Custom Layout: Vertical or Horizontal table, resizable text (Tiny → Huge), corner positioning.
* Pro Visual Themes:
* Dark Intergalactic (neon/futuristic for dark charts)
* Light Minimal (clean light mode)
* Pro Modern (low‑saturation, desk‑ready)
How to trade it
* Scalps (1m–5m): Only take longs when 5m/15m/1H/D are “Up” and AVG is Up/Strong Up; use MA crosses/pulls for entries.
* Intraday swings (5m–15m–1H): Wait for a higher‑TF flip to align; trail under the long MA.
* Risk discipline: If AVG shifts to Neutral/Down, stop looking for longs until bias realigns.
Settings you’ll care about
* Timeframes to display (1m, 2m, 3m, 5m, 10m, 15m, 30m, 1H, 2H, 4H, 6H, 12H, 1D, 1W).
* MA Type: SMA / EMA / WMA / HMA.
* Short/Long lengths (defaults 50/200).
* Theme, orientation, and size.
Notes
* Works on all symbols and timeframes.
* No repainting; alerts trigger on closed conditions.
* Built by PineProfits.
Multi-Timeframe MA 200Multi-Timeframe MA 200
This powerful tool plots the 200-period Moving Average across multiple timeframes (5m, 15m, 30m, 1h, 4h, Daily) directly on your active chart. You can switch between SMA (Simple Moving Average) and EMA (Exponential Moving Average) for all timeframes at once.
Key features:
✅ 100% accurate calculation using the original timeframe
✅ Option to choose SMA or EMA
✅ Visual smoothing for cleaner display
✅ Floating labels showing the origin timeframe
✅ Clean interface – no clutter or legends
✅ Ideal for scalping, intraday, and swing traders
Developed by BELOTTO TRADER, founder of the CLUBE DO GAIN – one of the most engaged trading communities in the Portuguese-speaking world.
Custom Multiple SMAs (Trend Structure Visualizer)This indicator displays 16 consecutive Simple Moving Averages (SMAs), from SMA 8 to SMA 23, plotted simultaneously on the chart. Together, they form a color-coded SMA fan that allows you to clearly visualize the current market structure.
What you can observe in the chart:
– When the lines are flat and tightly clustered , the market is likely consolidating or moving sideways
– When the lines fan out and expand , a trend or directional momentum is building
– When the lines start converging or crossing again , it may indicate a trend pause or potential reversal
A 100-period EMA (yellow line) serves as a basic trend filter:
– Price above the EMA suggests an long-biased market
– Price below the EMA suggests a short-biased market
What makes this tool unique:
Unlike traditional single-SMA indicators, this tool also highlights phases when it's better to stay out of the market – such as during flat, unstructured sideways conditions.
Transitions from low activity to trending phases become clearly and early visible, without relying on additional signals or indicator noise.
The indicator works across all markets and timeframes and remains visually stable even during fast market movements. It is a visual decision-making tool and does not generate automatic signals or alerts.
ZFT ClassicMA combination used in the ZFT system so students can identify long term, medium term, and short term trends within a minute.
Multi EMA SMA ramlakshman_BandThis advanced technical indicator overlays 20 customizable moving averages of two types (EMA & SMA) along with Bollinger Bands on your chart, enabling layered trend visualization and precise momentum tracking.
🔍 Features:
EMA Group: Select from 9 MA types (ema, sma, wma, vwma, hma, swma, alma, rma, linreg) and plot 20 different EMAs with fully adjustable lengths.
SMA Group: Same flexibility as EMAs, for 20 SMA lines, each with individual length input.
Bollinger Bands: Classic 20-period bands (configurable length and stddev), shaded for clear volatility recognition.
Toggle visibility for EMAs, SMAs, and BBs independently.
Color-coded lines for immediate visual grouping and clarity.
🎯 Use Case:
Designed for systematic traders, scalpers, trend followers, and algorithmic strategists who rely on MA crossovers, ribbon convergence/divergence, and volatility envelopes to generate signals or validate entries/exits.
🧠 Bonus:
Built on Pine Script v6 for max performance.
Optimized ma() function for dynamic multi-type averaging.
Custom hma() logic included for accurate Hull MA support.
