Clock&Flow MM+InfoThis script is an indicator that helps you visualize various moving averages directly on the price chart and gain some additional insights.
Here's what it essentially does:
Displays Different Moving Averages: You can choose to see groups of moving averages with different periods, set to nominal cyclical durations. You can also opt to configure them for instruments traded with classic or extended trading hours (great for Futures), and they'll adapt to your chosen timeframe.
Colored Bands: It allows you to add colored bands to the background of the chart that change weekly or daily, helping you visualize time cycles. You can customize the band colors.
Information Table: A small table appears in a corner of the chart, indicating which cycle the moving averages belong to (daily, weekly, monthly, etc.), corresponding to the timeframe you are using on the chart.
Customization: You can easily enable or disable the various groups of moving averages or the colored bands through the indicator's settings.
It's a useful tool for traders who use moving averages to identify trends and support/resistance levels, and who want a quick overview of market cycles.
Questo script è un indicatore che aiuta a visualizzare diverse medie mobili direttamente sul grafico dei prezzi e a ottenere alcune informazioni aggiuntive.
In pratica, fa queste cose:
Mostra diverse medie mobili: Puoi scegliere di vedere gruppi di medie mobili con periodi diversi impostati sulle durate cicliche nominali. Puoi scegliere se impostarle per uno strumento quotato con orario di negoziazione classico o esteso (ottimo per i Futures) e si adattano al tuo timeframe).
Bande colorate: Ti permette di aggiungere delle bande colorate sullo sfondo del grafico che cambiano ogni settimana o ogni giorno, per aiutarti a visualizzare i cicli temporali. Puoi scegliere il colore delle bande.
Tabella informativa: In un angolo del grafico, compare una piccola tabella che indica a quale ciclo appartengono le medie mobili (giornaliero, settimanale, mensile, ecc.) e corrispondono in base al timeframe che stai usando sul grafico.
Personalizzazione: Puoi facilmente attivare o disattivare i vari gruppi di medie mobili o le bande colorate tramite le impostazioni dell'indicatore.
È uno strumento utile per i trader che usano le medie mobili per identificare trend e supporti/resistenze, e che vogliono avere un colpo d'occhio sui cicli di mercato.
移動平均線
HTF High/Low Targets This script plots the previous Highs and Lows of the 1HR, 4HR, Daily, and Weekly timeframes.
Each level is color-coded, extends across the chart, and includes labels to help you spot key areas of past support and resistance.
Use this tool to:
- Confirm intraday price reactions at HTF zones
- Identify high-probability reversal or breakout areas
- Get notified with built-in alerts when price crosses a level
You can toggle each timeframe level on/off in the settings panel.
Great for:
- Day traders and scalpers who trade off 1-minute or 5-minute charts
-Swing traders looking for confluence with HTF zones
- Anyone using a multi-timeframe analysis approach
Created by @mychaellesliemedia.
Dual Pwma Trends [ZORO_47]Key Features:
Dual PWMA System: Combines a fast and slow Parabolic Weighted Moving Average to identify momentum shifts and trend changes with precision.
Dynamic Color Coding: The indicator lines change color to reflect market conditions—green for bullish crossovers (potential buy signals) and red for bearish crossunders (potential sell signals), making it easy to interpret at a glance.
Customizable Parameters: Adjust the fast and slow PWMA lengths, power settings, and source data to tailor the indicator to your trading style and timeframe.
Clean Visualization: Plotted with bold, clear lines (3px width) for optimal visibility on any chart, ensuring you never miss a signal.
How It Works:
The indicator calculates two PWMAs using the imported ZOROLIBRARY by ZORO_47. When the fast PWMA crosses above the slow PWMA, both lines turn green, signaling a potential bullish trend. Conversely, when the fast PWMA crosses below the slow PWMA, the lines turn red, indicating a potential bearish trend. The color persists until the next crossover or crossunder, providing a seamless visual cue for trend direction.
Ideal For:
Trend Traders: Identify trend reversals and continuations with clear crossover signals.
Swing Traders: Use on higher timeframes to capture significant price moves.
Day Traders: Fine-tune settings for faster signals on intraday charts.
Settings:
Fast Length/Power: Control the sensitivity of the fast PWMA (default: 12/2).
Slow Length/Power: Adjust the smoother, slower PWMA (default: 21/1).
Source: Choose your preferred data input (default: close price).
Adaptive Multi-TF Indicator Table with Presets giua64📌 Script Name:
Adaptive Multi-Timeframe Indicator Table with Presets — giua64
📄 Description:
This script displays an adaptive multi-timeframe dashboard that summarizes the signals of three key technical indicators:
Moving Averages (MAs), Relative Strength Index (RSI), and MACD.
It provides a fast and visually intuitive overview of market conditions across five timeframes (5m, 15m, 30m, 1h, 4h), helping traders quickly identify potential directional biases (e.g., bullish, bearish, or neutral) based on either predefined presets or fully manual settings.
🧰 Preset Configurations:
You can choose between four trading styles, each with optimized indicator parameters:
Scalping
• MAs: 5 / 10 (Fast), 20 / 50 (Slow)
• RSI: 7 periods | Overbought: 70 | Oversold: 30
• MACD: 5 / 13 | Signal: 3
Intraday
• MAs: 9 / 21 (Fast), 50 / 100 (Slow)
• RSI: 14 periods | Overbought: 60 | Oversold: 40
• MACD: 12 / 26 | Signal: 9
Swing
• MAs: 10 / 20 (Fast), 50 / 200 (Slow)
• RSI: 14 periods | Overbought: 65 | Oversold: 35
• MACD: 12 / 26 | Signal: 9
Manual
• Full custom control over all indicator settings.
🛠️ All settings can be customized manually from the options panel, including the exact MA periods, RSI thresholds, and MACD structure.
🧠 How It Works:
For each timeframe, the script evaluates:
MA crossover status (two levels):
The first symbol refers to the crossover of the fast MAs
The second symbol refers to the crossover of the slow MAs
🟢 = Bullish crossover
🔴 = Bearish crossover
➖ = Flat or no clear signal
RSI Direction:
↑ = RSI above upper threshold (potential overbought)
↓ = RSI below lower threshold (potential oversold)
→ = RSI in neutral range
MACD Line vs Signal Line:
↑ = MACD line is above signal line (bullish)
↓ = MACD line is below signal line (bearish)
→ = Flat or neutral signal
Each signal is assigned a numerical score. These are aggregated per timeframe to compute a combined score that reflects the directional bias for that specific time window.
🧠 Adaptive Logic by Asset:
This script is designed to be universally compatible across all asset types — including forex, crypto, stocks, indices, and commodities.
Thanks to its multi-timeframe nature and flexible indicator presets, the script automatically adjusts its behavior based on the asset selected, ensuring relevant analysis without requiring manual recalibration.
🧾 Summary Table Output:
At the bottom of the dashboard, a combined sentiment is displayed for:
3TF → 5m, 15m, 30m
4TF → Adds 1h
5TF → Adds 4h
Each row shows:
Signal → LONG / SHORT / NEUTRAL
Confidence (%) → Based on score aggregation and signal consistency
📌 Customization Options:
Table Position: Left, Right, or Center
Text Size: Small, Normal, or Large
Full Manual Configuration: All MA, RSI, and MACD parameters can be adjusted as needed
⚠️ Disclaimer:
This script is for educational and analytical purposes only.
It does not constitute financial advice or guarantee any trading results.
Always do your own research and apply responsible risk management.
CCT SuperTrade 2025CCT SuperTrade 2025
An original combination of two well-established methodologies for identifying potential market entry and exit opportunities.
General Concept
This script merges principles from the Hi-Lo Activator and the “Holy Grail” strategy developed by Linda Raschke and Laurence Connors. It was conceived by the Central Crypto Traders team and remains closed-source to protect the originality of its logic and scoring system.
Hi-Lo Activator
The Hi-Lo Activator focuses on points of price compression followed by breakouts, much like a compressed spring releasing its energy. This indicator monitors market contraction using simple MAs focusing in low and High candle points.
Holy Grail
Based on the work of Linda Raschke and Laurence Connors, the “Holy Grail” centers on 20-period simple moving average and pullbacks in trending markets using ADX indicator. In this script, we incorporate additional price filters to reinforce the identification of strong trends and pinpoint entry opportunities during retracements.
Unique Scoring System
The script’s logic evaluates multiple factors (trend, momentum, volatility) and generates a proprietary scoring system.
Each signal arises from a confluence of criteria, providing clearer indications for traders looking to identify buy or sell opportunities.
Triple Bollinger Bands and Strategic Zoning
This indicator integrates a customized triple Bollinger Bands setup to establish clear internal trading zones: Sell Zone, Neutral Zone, and Buy Zone. These zones guide traders on potential market reversals or continuation points. Additionally, the outer Bollinger Band set at 3 standard deviations (Dev3) identifies extreme volatility boundaries—price action rarely sustains movements beyond this level, signaling potential short-term exhaustion or reversal points.
Color Candle System (Trend + Volume + Momentum)
The indicator utilizes an advanced 9-color candle system, combining real-time trend, volume, and momentum data into a visual scale. Each candle color corresponds to a unique market condition, providing traders with instant and intuitive insights into current market sentiment and strength.
Additional Indicator Features
The indicator also includes several supplementary tools to enhance analysis precision:
Four customizable moving averages, selectable among EMA, SMA, WMA, HMA, DEMA, and VWMA, allowing tailored trend analysis.
A proprietary Fibonacci-based trendline, developed exclusively by our team, for dynamic identification of market direction and key support/resistance levels.
Labels clearly identifying plotted lines, significantly simplifying chart interpretation.
Pivot indicators, highlighting critical swing-high and swing-low points, aiding traders in spotting potential market reversals and continuation patterns.
The indicator also features an optional flag to highlight Inside Bars, candlestick patterns indicating price consolidation that can signal impending breakouts or reversals.
The indicator includes dedicated signals to detect potential Pump and Dump scenarios, identified through abnormal volume spikes coupled with significant short-term price fluctuations, warning traders of potentially manipulated or highly speculative market movements.
The indicator identifies possible trend reversals triggered by volume spikes, highlighting moments when significant increases in trading volume coincide with abrupt price changes, potentially signaling exhaustion or initiation of new trends.
Parabolic SAR Integration
The indicator also integrates the Parabolic SAR (Stop and Reverse), clearly marking dynamic points of trend reversal on the chart. This allows traders to quickly visualize potential changes in market direction and manage trade entries or exits more effectively.
Integrated Information Panel
The indicator features a dynamic Info Panel that provides real-time textual readings of all relevant indicators used within the combined strategies. This panel conveniently displays values such as trend strength, momentum status, volatility levels, stochastic signals, ADX strength, and other key metrics already mapped by the script, allowing traders to quickly interpret market conditions and make informed decisions.
Usage and Application
Designed for various trading styles (swing or intraday), this indicator highlights trend shifts and potential reversal points.
When applied to the chart, CCT SuperTrade 2025 should be active unically to avoid unnecessary clutter and ensure straightforward interpretation.
Originality
The key innovation lies in the way we combine and score the signals using our unique score system with the “Hi-Lo Strategy” and the “Holy Grail.”
The code is closed-source due to the unique research and development carried out by our team, resulting in a hybrid algorithm that has no open-source equivalent.
Disclaimer
This script does not guarantee success and does not replace independent analysis. Financial markets carry risks; traders should proceed with caution and further study before making decisions. DYOR
Technical Disclaimer
This indicator is programmed using Pine Script V6, leveraging standard functions and calculations provided by ©TradingView , ensuring the accuracy, integrity, and reliability of the presented market data and signals. However, past performance does not guarantee future results. Always conduct independent analysis and trade responsibly.
It is important to clarify that the CCT SuperTrade 2025 is not a “multi-indicator” developed solely for the purpose of aggregating various visual tools into a single script.
Each of its components—despite being optionally visible as standalone plots—feeds critical data into the script’s integrated scoring system.
These internal modules are interdependent, and none function in isolation or deliver valid signals independently.
Therefore, this makes the CCT SuperTrade 2025 a singular, cohesive algorithm rather than a modular toolkit. The architecture was intentionally designed this way to preserve the logic, flow, and accuracy of the signal generation engine, reinforcing the integrity of the system as a whole. Any attempt to separate these components would compromise the core mechanism and invalidate its analytical structure.
Hull-Exponential Moving Average (HEMA)The Hull Exponential Moving Average (HEMA) is an experimental technical indicator that uses a sequence of Exponential Moving Averages (EMAs) with the same logic as HMA - except with EMAs and not WMAs. It aims to create a responsive yet smooth trend indicator than HMA.
HEMA applies a multi-stage EMA process. Initial EMAs are calculated using alphas derived from logarithmic relationships and the input period. Their outputs are then combined in a de-lagging step, which itself uses a logarithmically derived ratio. A final EMA smoothing pass is then applied to this de-lagged series. This creates a moving average that responds quickly to genuine price changes while maintaining effective noise filtering. The specific alpha calculations and the de-lagging formula contribute to its balance between responsiveness and smoothness.
▶️ **Core Concepts**
Logarithmically-derived alphas: Alpha values for the three EMA stages are derived using natural logarithms and specific formulas related to the input period **N**.
Three-stage EMA process: The calculation involves:
An initial EMA (using **αS**) on the source data.
A second EMA (using **αF**) also on the source data.
A de-lagging step that combines the outputs of the first two EMAs using a specific ratio **r**.
A final EMA (using **αFin**) applied to the de-lagged series.
Specific de-lagging formula: Utilizes a constant ratio **r = ln(2.0) / (1.0 + ln(2.0))** to combine the outputs of the first two EMAs, aiming to reduce lag.
Optimized final smoothing: The alpha for the final EMA (**αFin**) is calculated based on the square root of the period **N**.
Warmup compensation: The internal EMA calculations include a warmup mechanism to provide more accurate values from the initial bars. This involves tracking decay factors (**eS**, **eF**, **eFin**) and applying a compensation factor **1.0 / (1.0 - e_decay)** during the warmup period. A shared warmup duration is determined by the smallest alpha among the three stages.
HEMA achieves its characteristics through this multi-stage EMA process, where the specific alpha calculations and the de-lagging step are key to its responsiveness and smoothness.
▶️ **Common Settings and Parameters**
Period (**N**): Default: 10 | Base lookback period for all alpha calculations | When to Adjust: Increase for longer-term trends and more smoothness, decrease for shorter-term signals and more responsiveness
Source: Default: Close | Data point used for calculation | When to Adjust: Change to HL2, HLC3, or OHLC4 for different price representations
Pro Tip: The HEMA's behavior is sensitive to the **Period** setting due to the non-linear relationships in its alpha calculations. Experiment with values around your typical MA periods. Small changes in **N** can have a noticeable impact, especially for smaller **N** values.
▶️ **Calculation and Mathematical Foundation**
Simplified explanation:
HEMA calculates its value through a sequence of three Exponential Moving Averages (EMAs) with specially derived smoothing factors (alphas).
Two initial EMAs are calculated from the source price, using alphas **αS** and **αF**.
The outputs of these two EMAs are combined into a "de-lagged" series.
This de-lagged series is then smoothed by a third EMA, using alpha **αFin**, to produce the final HEMA value.
All internal EMAs use a warmup compensation mechanism for improved accuracy on early bars.
Technical formula (let **N** be the input period):
1. Alpha for the first EMA (slow component related):
αS = 3.0 / (2.0 * N - 1.0)
2. Lambda for **αS** (intermediate value):
λS = -ln(1.0 - αS)
Note: **αS** must be less than 1, which implies 2N-1 > 3 or N > 2 for **λS** to be well-defined without NaN from ln of non-positive number. The code uses nz() for robustness but the formula implies this constraint.
3. De-lagging ratio **r**:
r = ln(2.0) / (1.0 + ln(2.0))
(This is a constant, approximately 0.409365)
4. Alpha for the second EMA (fast component related):
αF = 1.0 - exp(-λS / r)
5. Alpha for the final EMA smoothing:
αFin = 2.0 / (sqrt(N) / 2.0 + 1.0)
6. Applying the stages:
**OutputS = EMA_internal(source, αS, eS_state, emaS_state)**
**OutputF = EMA_internal(source, αF, eF_state, emaF_state)**
8. Calculate the de-lagged series:
DeLag = (OutputF / (1.0 - r)) - (r * OutputS / (1.0 - r))
9. Calculate the final HEMA:
HEMA = EMA_internal(DeLag, αFin, eFin_state, emaFin_state)
🔍 Technical Note: The HEMA implementation uses a shared warmup period controlled by **aMin** (the minimum of **αS**, **αF**, **αFin**). During this period, each internal EMA stage still tracks its own decay factor (**eS**, **eF**, **eFin**) to apply the correct compensation. The **nz()** function is used in the code to handle potential NaN values from alpha calculations if **N** is very small (e.g., **N=1** would make **αS=3**, **1-αS = -2**, **ln(-2)** is NaN).
▶️ **Interpretation Details**
HEMA provides several key insights for traders:
When price crosses above HEMA, it often signals the beginning of an uptrend
When price crosses below HEMA, it often signals the beginning of a downtrend
The slope of HEMA provides insight into trend strength and momentum
HEMA creates smooth dynamic support and resistance levels during trends
Multiple HEMA lines with different periods can identify potential reversal zones
HEMA is particularly effective for trend following strategies where both responsiveness and noise reduction are important. It provides earlier signals than traditional EMAs while exhibiting less whipsaw than standard HMA in choppy market conditions. The indicator excels at identifying the underlying trend direction while filtering out minor price fluctuations.
▶️ **Limitations and Considerations**
Experimental nature: As an experimental indicator, HEMA may behave differently from established HMA in certain market conditions
Lag characteristics: While designed to reduce lag, HEMA may exhibit slightly more lag than HMA in some scenarios due to the long tail of EMA
Mathematical complexity: The multi-stage calculation with specialized alpha parameters makes the behavior less intuitive to understand
Parameter sensitivity: Performance can vary significantly with different period settings
Complementary tools: Works best when combined with volume analysis or momentum indicators for confirmation
▶️ **References**
Hull, A. (2005). "Hull Moving Average," Technical Analysis of Stocks & Commodities .
RetryClaude can make mistakes. Please double-check responses.
Triple cloud📘 Tripple Cloud – Explanation and Functionality
Tripple Cloud is an advanced visualization of moving averages (EMA and MA) across the current timeframe and up to two higher timeframes (HTF1 and HTF2). It provides a fast visual overview of both local and overall trend direction.
✅ Features
🔹 1. Local Cloud (current timeframe)
EMA 13, 25, and 32 form the "cloud".
The background is automatically colored:
Green tones: Uptrend (faster EMA above slower)
Red tones: Downtrend (faster EMA below slower)
🔹 2. HTF Cloud (first higher timeframe)
Displays the same EMA cloud (13/25/32) for a higher timeframe (e.g., Daily when you're on 4H).
The background is shown in subtle green/red shades.
Optional display of EMA 50, 200 and MA 100, 300 in grayscale.
🔹 3. HTF2 Cloud (second higher timeframe)
Same principle as HTF1 – even higher level (e.g., Weekly when you're on 4H).
Visualized in gray tones, helping you spot long-term trends.
⚙️ Settings
Automatic HTF selection: The script automatically chooses suitable higher timeframes based on the current one (e.g., 1m → 5m and 1h).
Manual HTF 1 & 2: You can also manually select the higher timeframes.
Show/hide HTF clouds and EMAs: Enable or disable HTF1 and HTF2 individually.
Everything updates automatically when switching chart timeframes.
💡 Use Cases
Use Tripple Cloud to:
Spot confluence between local and higher timeframe trends
Avoid trading against major market direction
Detect early trend reversals on higher timeframes
Analyze both intraday and swing setups with clarity
Customizable 10‑MA SuiteCustomizable 10‑Moving‑Average Suite
OverviewPlot up to 10 independent moving averages on a single chart. Every line can be tailored to your trading style with adjustable length, timeframe, MA type (SMA, EMA, WMA, RMA, VWMA, HMA, LinReg), data source, colour, width, and plot style.
Key Features
True multi‑time‑frame support via request.security(): mix intraday and higher‑time‑frame MAs effortlessly.
Fine‑grained visibility control: toggle each MA on/off to keep charts clean and script performance high.
Versatile display options: choose between line, step, histogram, or area plots for every MA.
Typical Use‑Cases
Quickly compare short‑, medium‑, and long‑term trends.
Identify dynamic support/resistance and moving‑average crossovers.
Add confluence to existing strategies or discretionary setups.
Pro TipHighlight your primary trend MA with a thicker line and bolder colour, while setting secondary MAs to thinner or dashed styles—this keeps focus where it matters and prevents visual clutter.
Enjoy!
EMA Distance Indicator [Eddie_Bitcoin]🧠 EMA Distance Indicator
This indicator is a powerful statistical tool designed to provide enhanced context and signal confirmation for traders who want to go beyond price action alone.
🔍 What It Does
It calculates and visualizes the distance (%) between two EMAs (Fast & Slow) on either the current chart symbol or a selected macro/index reference (e.g., BTC Dominance, TOTAL2, SPX). But it doesn't stop there:
Core Features:
✅ Real-time percentage distance between Fast and Slow EMAs
📈 Slope (acceleration) of the distance to capture trend momentum
🎯 Gaussian-based percentile rank of the current distance over a configurable historical sample
📊 Dynamic table display with intuitive emoji-based cues
🟢 Highlights extreme conditions (e.g., TOP 5% or LOW 5% percentile zones)
🔀 Compare both current asset and a macro/index asset side by side
💡 Display Modes:
Show only current symbol
Show only index/macro symbol
Show both with independently positioned tables
🎯 Ideal Use Case
This is not a standalone strategy, but rather a statistical enhancement module designed to pair with tools like my 👉 “AltCoin Index Correlation” indicator. It gives traders a quick-glance view of strength, divergence, and macro alignment for better timing and confidence.
Whether you’re trading altcoins, tracking dominance charts, or watching indices, this tool offers deep visual insight into EMA-based dynamics — wrapped in a clean, emoji-driven UI.
🛠 Created with ❤️ by @Eddie_Bitcoin
🚀 ### Check my profile for other juicy hints and original strategies. ### 🚀
EMA Pullback Speed Strategy 📌 **Overview**
The **EMA Pullback Speed Strategy** is a trend-following approach that combines **price momentum** and **Exponential Moving Averages (EMA)**.
It aims to identify high-probability entry points during brief pullbacks within ongoing uptrends or downtrends.
The strategy evaluates **speed of price movement**, **relative position to dynamic EMA**, and **candlestick patterns** to determine ideal timing for entries.
One of the key concepts is checking whether the price has **“not pulled back too much”**, helping focus only on situations where the trend is likely to continue.
⚠️ This strategy is designed for educational and research purposes only. It does not guarantee future profits.
🧭 **Purpose**
This strategy addresses the common issue of **"jumping in too late during trends and taking unnecessary losses."**
By waiting for a healthy pullback and confirming signs of **trend resumption**, traders can enter with greater confidence and reduce false entries.
🎯 **Strategy Objectives**
* Enter in the direction of the prevailing trend to increase win rate
* Filter out false signals using pullback depth, speed, and candlestick confirmations
* Predefine Take-Profit (TP) and Stop-Loss (SL) levels for safer, rule-based trading
✨ **Key Features**
* **Dynamic EMA**: Reacts faster when price moves quickly, slower when market is calm – adapting to current momentum
* **Pullback Filter**: Avoids trades when price pulls back too far (e.g., more than 5%), indicating a trend may be weakening
* **Speed Check**: Measures how strongly the price returns to the trend using candlestick body speed (open-to-close range in ticks)
📊 **Trading Rules**
**■ Long Entry Conditions:**
* Current price is above the dynamic EMA (indicating uptrend)
* Price has pulled back toward the EMA (a "buy the dip" situation)
* Pullback depth is within the threshold (not excessive)
* Candlesticks show consecutive bullish closes and break the previous high
* Price speed is strong (positive movement with momentum)
**■ Short Entry Conditions:**
* Current price is below the dynamic EMA (indicating downtrend)
* Price has pulled back up toward the EMA (a "sell the rally" setup)
* Pullback is within range (not too deep)
* Candlesticks show consecutive bearish closes and break the previous low
* Price speed is negative (downward momentum confirmed)
**■ Exit Conditions (TP/SL):**
* **Take-Profit (TP):** Fixed 1.5% target above/below entry price
* **Stop-Loss (SL):** Based on recent price volatility, calculated using ATR × 4
💰 **Risk Management Parameters**
* Symbol & Timeframe: BTCUSD on 1-hour chart (H1)
* Test Capital: \$3000 (simulated account)
* Commission: 0.02%
* Slippage: 2 ticks (minimal execution lag)
* Max risk per trade: 5% of account balance
* Backtest Period: Aug 30, 2023 – May 9, 2025
* Profit Factor (PF): 1.965 (Net profit ÷ Net loss, including spreads & fees)
⚙️ **Trading Parameters & Indicator Settings**
* Maximum EMA Length: 50
* Accelerator Multiplier: 3.0
* Pullback Threshold: 5.0%
* ATR Period: 14
* ATR Multiplier (SL distance): 4.0
* Fixed TP: 1.5%
* Short-term EMA: 21
* Long-term EMA: 50
* Long Speed Threshold: ≥ 1000.0 (ticks)
* Short Speed Threshold: ≤ -1000.0 (ticks)
⚠️Adjustments are based on BTCUSD.
⚠️Forex and other currency pairs require separate adjustments.
🔧 **Strategy Improvements & Uniqueness**
Unlike basic moving average crossovers or RSI triggers, this strategy emphasizes **"momentum-supported pullbacks"**.
By combining dynamic EMA, speed checks, and candlestick signals, it captures trades **as if surfing the wave of a trend.**
Its built-in filters help **avoid overextended pullbacks**, which often signal the trend is ending – making it more robust than traditional trend-following systems.
✅ **Summary**
The **EMA Pullback Speed Strategy** is easy to understand, rule-based, and highly reproducible – ideal for both beginners and intermediate traders.
Because it shows **clear visual entry/exit points** on the chart, it’s also a great tool for practicing discretionary trading decisions.
⚠️ Past performance is not a guarantee of future results.
Always respect your Stop-Loss levels and manage your position size according to your risk tolerance.
My S.T.A.C.K.📊 My S.T.A.C.K. (Simplified TA Combined Kit)
All your favorite technical tools in one clean, customizable overlay.
My S.T.A.C.K. is a power-packed indicator designed to streamline your chart by combining the most commonly used technical analysis tools into a single, space-saving script. Whether you're a trend trader, swing trader, or just looking to declutter your view — this kit gives you everything you need, nothing you don’t.
🔧 Features:
5 Customizable Moving Averages: Choose your type (SMA, EMA, WMA, etc.) and periods to match your strategy.
Bollinger Bands: Visualize volatility and overbought/oversold zones with precision.
Donchian Channels: Spot breakouts and trend reversals based on high/low ranges.
ATR Bands: Adaptive support/resistance zones based on Average True Range.
Clean Visualization: Toggle each element on or off, adjust colors, and focus only on what matters.
✅ Ideal For:
- Traders who want multiple indicators in one place
- Reducing indicator clutter on TradingView
- Quick visual analysis without switching scripts
Anchored VWAP by Time (Math by Thomas)📄 Description
This tool lets you plot an Anchored Volume Weighted Average Price (VWAP) starting from any specific date and time you choose. Unlike standard VWAPs that reset daily or weekly, this version gives you full control to track institutional pricing zones from precise anchor points—such as key swing highs/lows, market open, or news-driven candles.
It’s especially useful for price action and Smart Money Concepts (SMC) traders who track liquidity, fair value gaps (FVGs), and institutional zones.
🇮🇳 For NSE India Traders
You can anchor VWAP to Indian market open (e.g., 9:15 AM IST) or major events like RBI policy, earnings, or breakout candles.
The time input uses UTC by default, so for Indian Standard Time (IST), remember:
9:15 AM IST = 3:45 AM UTC
3:30 PM IST = 10:00 AM UTC
⚙️ How to Use
Add the indicator to your chart.
Open the settings panel.
Under “Anchor Start Time”, choose the date & time to begin the VWAP.
Use UTC format (adjust from IST if needed).
Customize the line color and thickness to suit your chart style.
The VWAP will begin plotting from that time forward.
🔎 Best Use Cases
Track VWAP from intraday range breakouts
Anchor from swing highs/lows to identify mean reversion zones
Combine with your FVGs, Order Blocks, or CHoCHs
Monitor VWAP reactions during key macro events or expiry days
🔧 Clean Design
No labels are used, keeping your chart clean.
Works on all timeframes (1min to Daily).
Designed for serious intraday & positional traders.
Beyond Insights IndicatorThe Beyond Insights Indicator is a multi-timeframe overlay tool designed for TradingView that displays key Exponential Moving Averages (EMAs) and volatility insights to support various trading strategies. It intelligently adapts its display based on the current chart timeframe to reduce clutter and enhance relevance. Specifically, it shows EMA 6, 18, and 50 when viewing intraday timeframes.
In addition to EMAs, the indicator includes an ATR (Average True Range) calculation with a default length of 14, offering insight into market volatility.
Mimas buy and sellBollinger Bands: Calculated using a simple moving average (basis) and standard deviation (dev).
EMAs: Two exponential moving averages (EMA 5 and EMA 20) are plotted to identify short-term and long-term trends.
Price Action Patterns: The script detects higher highs and higher lows for bullish conditions, and lower highs and lower lows for bearish conditions.
Trend Strength: An exponential moving average of the price change is used to gauge the strength of the trend.
Trade Signals: Buy and sell signals are plotted on the chart when specific conditions are met, combining price action patterns, trend strength, Bollinger Bands, and EMA crossovers.
Take-Profit Levels: Dynamic take-profit levels are calculated based on recent swing highs and lows, adjusted by a user-defined multiplier. These levels are displayed on the chart using plot to draw horizontal lines.
DECODE Moving Average ToolkitDECODE Moving Average Toolkit: Your All-in-One MA Analysis Powerhouse!
This versatile indicator is designed to be your go-to solution for analysing trends, identifying potential entry/exit points, and staying ahead of market movements using the power of Moving Averages (MAs).
Whether you're a seasoned trader or just starting out, the Decode MAT offers a comprehensive suite of features in a user-friendly package.
Key Features:
Multiple Moving Averages: Visualize up to 10 Moving Averages simultaneously on your chart.
Includes 5 Exponential Moving Averages (EMAs) and 5 Simple Moving Averages (SMAs).
Easily toggle the visibility of each MA and customize its length to suit your trading style and the asset you're analyzing.
Dynamic MA Ribbons: Gain a clearer perspective on trend direction and strength with 5 configurable MA Ribbons.
Each ribbon is formed between a corresponding EMA and SMA (e.g., EMA 20 / SMA 20).
The ribbon color changes to indicate bullish (e.g., green) or bearish (e.g., red) sentiment, providing an intuitive visual cue.
Toggle ribbon visibility with a single click.
Powerful Crossover Alerts: Never miss a potential trading opportunity with up to 5 customizable MA Crossover Alerts.
Define your own fast and slow MAs for each alert from any of the 10 available MAs.
Receive notifications directly through TradingView when your specified MAs cross over or cross under.
Optionally display visual symbols (e.g., triangles ▲▼) directly on your chart at the exact crossover points for quick identification.
Highly Customizable:
Adjust the source price (close, open, etc.) for all MA calculations.
Fine-tune the appearance (colors, line thickness) of every MA line, ribbon, and alert symbol to match your charting preferences.
User-Friendly Interface: All settings are neatly organized in the indicator's input menu, making configuration straightforward and intuitive.
How Can You Use the Decode MAT in Your Trading?
This toolkit is incredibly versatile and can be adapted to various trading strategies:
Trend Identification:
Use longer-term MAs (e.g., 50, 100, 200 period) to identify the prevailing market trend. When prices are consistently above these MAs, it suggests an uptrend, and vice-versa.
Observe the MA ribbons: A consistently green ribbon can indicate a strong uptrend, while a red ribbon can signal a downtrend. The widening or narrowing of the ribbon can also suggest changes in trend momentum.
Dynamic Support & Resistance:
Shorter-term MAs (e.g., 10, 20 period EMAs) can act as dynamic levels of support in an uptrend or resistance in a downtrend. Look for price pullbacks to these MAs as potential entry opportunities.
Crossover Signals (Entries & Exits):
Golden Cross / Death Cross: Configure alerts for classic crossover signals. For example, a 50-period MA crossing above a 200-period MA (Golden Cross) is often seen as a long-term bullish signal. Conversely, a 50-period MA crossing below a 200-period MA (Death Cross) can be a bearish signal.
Shorter-Term Signals: Use crossovers of shorter-term MAs (e.g., EMA 10 crossing EMA 20) for more frequent, shorter-term trading signals. A fast MA crossing above a slow MA can signal a buy, while a cross below can signal a sell.
Use the on-chart symbols for quick visual confirmation of these crossover events.
Confirmation Tool:
Combine the Decode MAT with other indicators (like RSI, MACD, or volume analysis) to confirm signals and increase the probability of successful trades. For instance, a bullish MA crossover combined with an oversold RSI reading could strengthen a buy signal.
Multi-Timeframe Analysis:
Apply the toolkit across different timeframes to get a broader market perspective. A long-term uptrend on the daily chart, confirmed by a short-term bullish crossover on the 1-hour chart, can provide a higher-confidence entry.
The DECODE Moving Average Toolkit empowers you to tailor your MA analysis precisely to your needs.
Quadruple EMA (QEMA)The Quadruple Exponential Moving Average (QEMA) is an advanced technical indicator that extends the concept of lag reduction beyond TEMA (Triple Exponential Moving Average) to a fourth order. By applying a sophisticated four-stage EMA cascade with optimized coefficient distribution, QEMA provides the ultimate evolution in EMA-based lag reduction techniques.
Unlike traditional compund moving averages like DEMA and TEMA, QEMA implements a progressive smoothing system that strategically distributes alphas across four EMA stages and combines them with balanced coefficients (4, -6, 4, -1). This approach creates an indicator that responds extremely quickly to price changes while still maintaining sufficient smoothness to be useful for trading decisions. QEMA is particularly valuable for traders who need the absolute minimum lag possible in trend identification.
▶️ **Core Concepts**
Fourth-order processing: Extends the EMA cascade to four stages for maximum possible lag reduction while maintaining a useful signal
Progressive alpha system: Uses mathematically derived ratio-based alpha progression to balance responsiveness across all four EMA stages
Optimized coefficients: Employs calculated weights (4, -6, 4, -1) to effectively eliminate lag while preserving compound signal stability
Numerical stability control: Implements initialization and alpha distribution to ensure consistent results from the first calculation bar
QEMA achieves its exceptional lag reduction by combining four progressive EMAs with mathematically optimized coefficients. The formula is designed to maximize responsiveness while minimizing the overshoot problems that typically occur with aggressive lag reduction techniques. The implementation uses a ratio-based alpha progression that ensures each EMA stage contributes appropriately to the final result.
▶️ **Common Settings and Parameters**
Period: Default: 15| Base smoothing period | When to Adjust: Decrease for extremely fast signals, increase for more stable output
Alpha: Default: auto | Direct control of base smoothing factor | When to Adjust: Manual setting allows precise tuning beyond standard period settings
Source: Default: Close | Data point used for calculation | When to Adjust: Change to HL2 or HLC3 for more balanced price representation
Pro Tip: Professional traders often use QEMA with longer periods than other moving averages (e.g., QEMA(20) instead of EMA(10)) since its extreme lag reduction provides earlier signals even with longer periods.
▶️ **Calculation and Mathematical Foundation**
Simplified explanation:
QEMA works by calculating four EMAs in sequence, with each EMA taking the previous one as input. It then combines these EMAs using balancing weights (4, -6, 4, -1) to create a moving average with extremely minimal lag and high level of smoothness. The alpha factors for each EMA are progressively adjusted using a mathematical ratio to ensure balanced responsiveness across all stages.
Technical formula:
QEMA = 4 × EMA₁ - 6 × EMA₂ + 4 × EMA₃ - EMA₄
Where:
EMA₁ = EMA(source, α₁)
EMA₂ = EMA(EMA₁, α₂)
EMA₃ = EMA(EMA₂, α₃)
EMA₄ = EMA(EMA₃, α₄)
α₁ = 2/(period + 1) is the base smoothing factor
r = (1/α₁)^(1/3) is the derived ratio
α₂ = α₁ × r, α₃ = α₂ × r, α₄ = α₃ × r are the progressive alphas
Mathematical Rationale for the Alpha Cascade:
The QEMA indicator employs a specific geometric progression for its smoothing factors (alphas) across the four EMA stages. This design is intentional and aims to optimize the filter's performance. The ratio between alphas is **r = (1/α₁)^(1/3)** - derived from the cube root of the reciprocal of the base alpha.
For typical smoothing (α₁ < 1), this results in a sequence of increasing alpha values (α₁ < α₂ < α₃ < α₄), meaning that subsequent EMAs in the cascade are progressively faster (less smoothed). This specific progression, when combined with the QEMA coefficients (4, -6, 4, -1), is chosen for the following reasons:
1. Optimized Frequency Response:
Using the same alpha for all EMA stages (as in a naive multi-EMA approach) can lead to an uneven frequency response, potentially causing over-shooting of certain frequencies or creating undesirable resonance. The geometric progression of alphas in QEMA helps to create a more balanced and controlled filter response across a wider range of movement frequencies. Each stage's contribution to the overall filtering characteristic is more harmonized.
2. Minimized Phase Lag:
A key goal of QEMA is extreme lag reduction. The specific alpha cascade, particularly the relationship defined by **r**, is designed to minimize the cumulative phase lag introduced by the four smoothing stages, while still providing effective noise reduction. Faster subsequent EMAs contribute to this reduced lag.
🔍 Technical Note: The ratio-based alpha progression is crucial for balanced response. The ratio r is calculated as the cube root of 1/α₁, ensuring that the combined effect of all four EMAs creates a mathematically optimal response curve. All EMAs are initialized with the first source value rather than using progressive initialization, eliminating warm-up artifacts and providing consistent results from the first bar.
▶️ **Interpretation Details**
QEMA provides several key insights for traders:
When price crosses above QEMA, it signals the beginning of an uptrend with minimal delay
When price crosses below QEMA, it signals the beginning of a downtrend with minimal delay
The slope of QEMA provides immediate insight into trend direction and momentum
QEMA responds to price reversals significantly faster than other moving averages
Multiple QEMA lines with different periods can identify immediate support/resistance levels
QEMA is particularly valuable in fast-moving markets and for short-term trading strategies where speed of signal generation is critical. It excels at capturing the very beginning of trends and identifying reversals earlier than any other EMA-derived indicator. This makes it especially useful for breakout trading and scalping strategies where getting in early is essential.
▶️ **Limitations and Considerations**
Market conditions: Can generate excessive signals in choppy, sideways markets due to its extreme responsiveness
Overshooting: The aggressive lag reduction can create some overshooting during sharp reversals
Calculation complexity: Requires four separate EMA calculations plus coefficient application, making it computationally more intensive
Parameter sensitivity: Small changes in the base alpha or period can significantly alter behavior
Complementary tools: Should be used with momentum indicators or volatility filters to confirm signals and reduce false positives
▶️ **References**
Mulloy, P. (1994). "Smoothing Data with Less Lag," Technical Analysis of Stocks & Commodities .
Ehlers, J. (2001). Rocket Science for Traders . John Wiley & Sons.
Mits Pixel BTCUSDStrategy
Using Rsi Stochastic, Hull Moving Average, Price Action and volume differences to get signals
HOW IT WORKS
Pixel parts :
- (U) The first pixel is a pixel that shows a trend during an uptrend, a trend when the market is considered bullish (above the MA line)
- (V) The second pixel is the volume pixel, showing the up and down movement of the buy / sell volume .
- (M) The third pixel is the momentum pixel, showing the market momentum whether it is overbought or oversold.
- (D) The fourth pixel is a pixel that shows a trend during a downtrend, a trend when the market is considered bearish (below the MA line)
When the price opens above the MA line, 3 pixels will appear, namely the first Pixel which is called the Trend up Pixel, Pixel Volume , and also the Momentum Pixel.
When the price opens below the MA line, 3 pixels will appear, namely Pixel Volume , Pixel Momentum, and the bottom one is the Pixel Down Trend.
* Pixel up trend (appears when the open is above the MA line)
- The pixel will show a solid green color when a gap up is opened or volume up, then the close price is greater than the open price.
- The pixel will show a light green color if there is normal strengthening (the close is bigger than the previous day's close without creating a gap up), then the close price is bigger than the open price.
- Pixel will show yellow color if it meets several criteria, for example, close is equal to open or close is bigger than the previous close but close is smaller than open.
- The pixel will show a dark red color when there is attenuation and a Gap down is created, then the close price is smaller than the open price.
- Pixel will show red color if there is normal weakening (close is smaller than the close of the previous day without creating a gap down), then the close price is smaller than the open price.
* Pixel down trend (appears when the open is below the Moving Average)
The pixel color indication is the same as the Trend up Pixel
* Volume Pixel
- The pixel is dark green when there is an increase and a gap up is created and the volume for that day is bigger than the volume of the previous day.
- The pixel will be green if there is a normal strengthening and also the volume for that day is greater than the volume of the previous day, or there is a gap up but the volume is smaller than the volume of the previous day.
- The pixel is yellow if it meets several conditions, for example, the volume of the day is the same as the volume of the previous day.
- The pixel is dark red when there is weakness and a Gap down is created and also the volume of the day's weakness is greater than the volume of the previous day.
- The pixel is red if there is normal weakening and also the volume of the day's weakness is bigger than the previous day's volume , or if there is a gap down but the volume is smaller than the previous day's volume .
* Momentum Pixel (basically StochRSI combined with other HMA , TopBox (Resistance), BottomBox(Support)).
- The pixel is dark green when it meets several conditions, for example the golden cross is below 50.
- The pixel is green if it meets several conditions, for example a golden cross below 50 without Gap up.
- Pixel will be yellow if it meets several conditions, for example k is greater than d and k has entered the overbought area (greater than 80).
- Pixel is dark red when it meets several conditions, for example k is smaller than d and k has entered the overbought area.
- Pixel is red when it meets several conditions, for example k is smaller than d and k is greater than 50 and k is less than 80.
Bar Color
Dark Green : Price Up + Volume Up
Green : Price Up + Volume Down
Dark Red : Price Down + Volume Up
Red : Price Down + Volume Down
Too many details that cannot be detailed one by one , but in broad outline as explained above.
HOW TO USE
* Signals Buy
- Strong Buy : All pixels are green, and Momentum Pixel is dark green.
- Normal Buy : All pixels are green or two dark green (one of them must momentum pixel) and one yellow.
- Spek Buy : * Two green pixels (one of them must momentum pixel) and one yellow or 1 green/dark green in momentum pixel, and other pixels yellow
* Signals Sell
- Strong Sell : All pixels are red, and Momentum Pixel is dark red.
- Normal Sell : All pixels are either red or two dark red (one of them must momentum pixel) and one yellow.
- Spek Sell : Two red pixels (one of them must momentum pixel) and one yellow or 1 dark red in momentum pixel, and other pixels yellow
- Warning Sell : Momentum pixels are dark red, regardless of the color of the other pixels.
* Best use for trading in BTCUSD markets
Thanks for Moderators
SMA Backtest Optimizer [Mr_Rakun]The SMA Backtest Optimizer is a powerful Pine Script tool designed to systematically analyze and compare various Simple Moving Average (SMA) periods to identify the most profitable configuration for trading strategies. This indicator tests multiple SMA periods (from 10 to 100) using a crossover strategy where buys occur when price crosses above the SMA and sells when price crosses below it.
Key Features:
Tests 10 different SMA periods to determine optimal settings
Calculates profit/loss based on a defined starting capital
Tracks total profit and number of trades for each period
Visually highlights the best performing SMA on your chart
Displays comprehensive results in an easy-to-read table
Labels the chart with key performance metrics
This code serves as a core framework that traders can customize for their specific needs. You can easily modify the strategy parameters, test different technical indicators, adjust capital settings, or implement more complex entry/exit rules. The optimization methodology can be applied to virtually any trading approach you wish to evaluate.
Feel free to adapt this framework to test your own trading ideas and discover which parameters work best in different market conditions.
PMA - Pasha Moving Average [AlPashaTrader]🔵 PMA – The Future of Moving Averages
PMA (Pasha Moving Average) is not just another moving average. It’s a next-generation, smart, and adaptive smoothing system engineered to respond dynamically to market conditions. Built on a multi-phase algorithm, it gives traders a crystal-clear view of price direction while filtering out noise and false signals.
⚙️ How PMA Outperforms Traditional MAs
Type Description Weakness
SMA Simple average over a fixed period Too slow, poor response to fast markets
EMA Exponentially weighted to recent prices Overreacts to short-term noise
SMMA Smoothed EMA Too laggy, often misses entries
HMA Weighted hybrid smoothing Fast but erratic in sideways markets
🟦 PMA 3-phase intelligent smoothing (adaptive + predictive + dynamic) High precision with low noise, highly adaptive
🧠 What Makes PMA So Unique?
🔹 Fully Adaptive Behavior
PMA doesn't just rely on fixed periods. It dynamically adapts its responsiveness based on real-time market volatility, ensuring smoother reactions in calm markets and faster adjustment in volatile conditions.
🔹 Built-In Predictive Intelligence (Kalman Layer)
It uses a specialized estimation layer inspired by Kalman filtering, a mathematical model used in GPS and aerospace systems. This allows PMA to anticipate directional shifts with remarkable accuracy.
🔹 Smooth, But Not Slow
Unlike traditional smoothing techniques that introduce heavy lag, PMA intelligently reduces price noise without delaying signals, making it ideal for scalpers, swing traders, and trend followers.
🔹 Pro-Level Architecture
PMA processes price action through three internal stages:
Adaptive smoothing based on volatility
Predictive estimation using advanced modeling
Final intelligent refinement to smooth out any inconsistencies
🎯 How to Use PMA Effectively
Trend Direction
Price above PMA → Bullish bias
Price below PMA → Bearish bias
Signal Confirmation
Use PMA to filter other indicators or entry signals.
Never take trades that contradict the PMA direction.
Entry/Exit Points
Use PMA crossovers or breaks with momentum confirmation as high-confidence entries.
✅ Summary
PMA isn’t just a better moving average — it’s a trading advantage. Designed to adapt, predict, and respond with surgical precision, PMA is your edge in a market full of noise and false signals.
MMTools - Catcher❖ Overview
Catcher is a professional trading indicator designed to provide insightful, high-quality purchasing signals to traders, algorithmic traders, and investors. The indicator employs trend-following, momentum, and volatility-based techniques, all integrated into the author's unique and sophisticated strategic framework. This approach ensures that only the highest-performing signals are selected and presented. Unlike the majority of indicators, Catcher seeks to deliver signals against local price movements. Furthermore, the indicator is engineered to adapt to changing market conditions, ensuring its sustained value and relevance.
❖ How The Indicator Works
The objective of Catcher is to detect market movements and signal emerging trends to follow — before the trend loses momentum. Following this phase, the indicator remains inactive during periods of consolidation and low buying interest, resuming only upon detecting indications of a new market movement.
The system is built on a custom market-following algorithm that dynamically adjusts its internal components by analyzing the prevailing trend direction, strength, and volatility. This allows the indicator to identify optimal entry points in changing market conditions. By continuously adapting, Catcher can filter out false signals more effectively than traditional fixed-logic strategies.
❖ Settings
The indicator has simple settings. It allows the addition of signals from up to three other timeframes, with each additional signal increasing in size to facilitate differentiation. However, the selected timeframes must be equal to or higher than the chart’s current timeframe.
⚙️ Exit Signals:
Crosses marked as “+” on the chart represent favorable exit points determined by timeout logic.
Both entries and exits are fully non-repainting, meaning they will not change their locations or disappear once displayed on the chart. Note that they appear at the opening of the bar.
❖ Application
The indicator demonstrates strong performance in trending markets. However, it is advisable to avoid trading during highly volatile, choppy markets. As illustrated in the images below, signals generated in stable, trending environments tend to yield more favorable outcomes compared to those produced in turbulent conditions.
-- Example of Catcher operating during trending market --
-- Example of Catcher operating in a choppy market --
⚡️ It is not necessary to wait for bar closures, as the signals do not repaint once displayed.
Catcher can be used independently or to complement your existing techniques, for instance, by confirming your ideas or identifying precise entry points. The more reliable technical tools you incorporate, the stronger your analysis can become. Here is an example of how Catcher integrates with classical technical analysis:
-- Example of Catcher operating with additional influencing factors --
❖ Conclusion
We believe that dedicated traders can achieve outstanding results by using our tools with commitment and a professional approach. We hope that Catcher offers you a fresh and valuable perspective on trading.
❖ Access
Please refer to the Author's Instructions field to request access to the script.
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Disclaimer
The information provided by my scripts is for informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Always do your own research before making financial decisions.
Value Scanner | QuantEdgeB📡 Value Scanner | QuantEdgeB
🔍 What is the Value Scanner?
The Value Scanner by QuantEdgeB is a volatility-adaptive valuation framework that dynamically evaluates where price sits relative to a custom “Fair Value” zone. It combines your choice of moving average engine (SMA, WMA, VIDYA, etc.) with multi-layered standard deviation or ATR-based bands to highlight extreme conditions, reversal zones, and statistical overextensions in real time.
💡 Think of Value Scanner as a radar grid, continuously scanning market terrain and painting a full spectrum from balance to extreme disequilibrium.
⚙️ Core Components
✅ Customizable Moving Average Core
At the heart of the scanner lies a flexible moving average engine:
• Choose from 12+ advanced types: 𝓦𝓜𝓐, 𝓥𝓦𝓜𝓐, 𝓥𝓘𝓓𝓨𝓐, 𝓢𝓜𝓜𝓐, 𝓐𝓛𝓜𝓐, 𝓛𝓢𝓜𝓐, and more.
• Fair Value is derived from this base and acts as the center of the statistical zones.
✅ Volatility-Driven Band Construction
Two volatility methods power the adaptive zones:
• Average True Range (ATR): Ideal for reactive, price-based spreads.
• Standard Deviation (SD): Better for modeling reversion and deviation symmetry.
The scanner builds up to ±5σ zones, dynamically updating in real time.
🎯 Signal and Zone Identification
🧭 Deviation Labels
The system assigns a statistical label at every candle:
• From +0.5σ to +5σ for increasing levels of overextension upward.
• From -0.5σ to -5σ for oversold and undervalued conditions.
🌐 Market Stage Detection
Each deviation zone is translated into an intuitive market phrase such as:
• “𝓔𝔁𝓽𝓻𝓮𝓶𝓮𝓵𝔂 𝓞𝓿𝓮𝓻𝓫𝓸𝓾𝓰𝓱𝓽”
• “𝓜𝓲𝓭 𝓥𝓪𝓵𝓾𝓮 / 𝓑𝓪𝓵𝓪𝓷𝓬𝓮𝓭”
• “𝓜𝓪𝔁𝓲𝓶𝓾𝓶 𝓔𝔁𝓽𝓮𝓷𝓼𝓲𝓸𝓷 𝓓𝓸𝔀𝓷”
These phrases help you intuitively gauge risk, reward, and imbalance without needing to study a chart for long.
🔺 Signal Mechanics
📌 Reversal Signals (Optional)
• Automatic buy signals when price crosses above key lower deviation levels.
• Sell signals when price crosses below upper deviation bands.
• Ideal for mean-reversion setups or high-probability reversal plays.
🖼️ Visual Overlay Engine
• Beautifully shaded volatility bands with decreasing opacity as they move away from fair value.
• Background coloring highlights extreme price zones for fast visual alerts.
• Built-in "table display" summarizing the current base, volatility method, direction, fair value, and deviation stage.
📊 Table Overlay Features
The live diagnostic table (position adjustable) displays:
• 📈 Current Base MA Type
• 🌡️ Volatility Method in use (ATR or SD)
• 🧭 Trend direction (rising/falling/neutral)
• 🧮 Current Deviation Label (+2σ, -3σ, etc.)
• 🚦 Interpretive Stage Phrase ("Strongly Overbought", etc.)
• 📍 Real-Time Fair Value
• 🚨 Upper & Lower Extremes
🧠 Why Use the Value Scanner?
This tool is designed for traders who want to:
• Identify price extremes relative to statistical norms.
• Time entries and exits based on price's relationship to value zones.
• Visualize volatility structure without clutter.
• Combine trend-following or mean-reversion logic with elegant overlays and table analytics.
💼 Ideal Use Cases
• Swing trading: Spot overextensions or returns to mean.
• Options traders: Gauge volatility compression or expansion.
• Reversion systems: Generate contrarian signals at edge zones.
• Trend continuation: Use +1σ or -1σ as breakout validation levels.
🧬 Default Settings
• Base Type: 𝓦𝓜𝓐
• Length: 21
• Volatility Type: 𝓐𝓿𝓰. 𝓣𝓻𝓾𝓮 𝓡𝓪𝓷𝓰𝓮
•. Volatility Lengths: ATR 14 / Stdev 30
🧬 In Summary
Value Scanner | QuantEdgeB is not just a volatility band indicator — it’s a contextual market scanner that combines price equilibrium theory with precision deviation mapping. It adds statistical insight, color-coded extremes, and narrative stage identification — all in real time.
Whether you’re trend-following or fading extremes, this system helps you locate value, measure dislocation, and trade with mathematical confidence.
📌 Trade with Statistical Precision | Powered by QuantEdgeB
🔹 Disclaimer: Past performance is not indicative of future results.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
MARibbonMARibbon インジケーターについて
この「MARibbon」は、3本の移動平均線（MA1、MA2、MA3）を描画し、特にMA2とMA3の関係性に注目して、背景色でトレンドの強弱や転換のサインを視覚的に分かりやすく表示するインジケーターです。
主な特徴
3種類の移動平均線を表示可能
MA1（白色、期間40、太さ2）
MA2（水色、期間200、太さ4）
MA3（ピンク色、期間800、太さ4）
各MAの期間・種類（SMA、EMA、WMA、RMA）・タイムフレームは自由に設定可能。
MA2とMA3の関係性に応じて、チャート背景に色付きのリボン（帯）を表示。
背景リボンの意味
MA2 > MA3（ゴールデンクロス状況）
→ 背景を薄い緑色にして、上昇トレンドの可能性を示唆。
MA3 > MA2（デッドクロス状況）
→ 背景を薄い赤色にして、下降トレンドの可能性を示唆。
それ以外（等しい場合など）は背景色なし（透明）で表示。
入力可能な設定
各移動平均線の期間
各移動平均線の種類（SMA、EMA、WMA、RMA）
各移動平均線のタイムフレーム（デフォルトはチャートと同じ）
使い方
任意の銘柄・時間足のチャートにインジケーターを適用。
必要に応じて、3本の移動平均の期間・種類・時間足を調整。
MA2とMA3の位置関係によって、チャート背景の色が変わり、トレンドの強弱を直感的に把握可能。
MARibbon is a custom indicator that plots three moving averages (MA1, MA2, MA3) and visually fills the space between MA2 and MA3 with color bands to indicate trend strength and direction.
Each MA supports custom type (SMA / EMA / WMA / RMA), length, and timeframe.
A green band appears when MA2 is above MA3.
A red band appears when MA3 is above MA2.
This clean and minimal design helps traders easily visualize overlapping trends and potential crossovers.
💡 Use Cases:
Visually confirm confluence of long- and short-term trends
Identify ribbon-like zones of trend strength
Support for MA cross strategy analysis
Simple Buy/Sell SignalsThe code works by continuously monitoring the relationship between two moving averages (MAs) on live price data — a fast MA (shorter period) and a slow MA (longer period). These MAs smooth out price action to help identify trends. Here's how it functions step-by-step:
Inputs: The user selects the MA type (SMA or EMA) and the lengths (periods) for the fast and slow MAs.
Calculation: The script calculates the chosen MAs using real-time closing prices.
Signal Logic: It detects a Buy signal when the fast MA crosses above the slow MA (crossover) and a Sell signal when the fast MA crosses below the slow MA (crossunder).
Plotting: When a signal occurs, the script plots a green "BUY" arrow below the candle or a red "SELL" arrow above it.
Alerts: It includes alert conditions so users can receive notifications when a buy or sell condition is met.
