Daily HOD / LOD Anchored VWAP (24/7 Markets)mart Daily HOD/LOD Anchored VWAP (Auto Detect + Alerts)
This indicator automatically anchors VWAP at the High of Day (HOD) and Low of Day (LOD) for each session/day.
No more manual anchoring — the script tracks intraday highs and lows in real-time and resets cleanly at the start of each trading day or session.
✨ Features
✅ Auto-anchored AVWAP at daily High and Low
✅ Works for stock markets (with fixed sessions) and crypto markets (24/7)
✅ Clean reset every session/day
✅ Separate AVWAP lines for HOD and LOD
✅ Customizable colors & line widths
✅ Alerts included 🚨 (get notified instantly when a new High/Low AVWAP starts)
📈 Use Cases
Spot true intraday support/resistance levels
Track where institutions may be defending positions
Combine with price action, orderflow, or volume profile strategies
Perfect for intraday trading, scalping, and swing entries
⚡ Alerts
New HOD AVWAP → Fires when price makes a fresh high of day, starting a new anchored VWAP.
New LOD AVWAP → Fires when price makes a fresh low of day, starting a new anchored VWAP.
🛠️ Settings
Show/hide HOD or LOD VWAP
Customize line colors and thickness
Works seamlessly across stocks, futures, forex, and crypto
💡 Pro Tip:
AVWAP from the high and low of the day often acts as a magnet for price. Watch how price reacts when revisiting these levels — confluence with other indicators = high-probability setups.
⚠️ Disclaimer:
This script is for educational purposes only. It is not financial advice. Always manage your own risk.
Moyennes mobiles
Pi Cycle OscillatorThis oscillator combines the Pi Cycle Top indicator with a percentile-based approach to create a more precise and easy to read market timing tool.
Instead of waiting for moving average crossovers, it shows you exactly how close you are to a potential market top.
Orange background means you should start preparing for a potential top and look into taking profits.
Red background means that the crossover has happened on the original Pi Cycle Indicator and that you should have already sold everything. (Crossover of the gray line aka 100)
Thank you
Bollinger Band Width Percentile - The_Caretaker
Pi Cycle Top - megasyl20
ARMA(Autoregressive Moving Average) Model -DeepALGO-📊 ARMA Model Indicator
This script is a custom indicator based on the ARMA (Autoregressive Moving Average) model, one of the fundamental and widely used models in time series analysis.
While ARMA is typically employed in statistical software, this implementation makes it accessible directly on TradingView, allowing traders to visualize and apply the dynamics of ARMA in financial markets with ease.
🧩 What is the ARMA Model?
The ARMA model explains time series data by combining two components: Autoregression (AR) and Moving Average (MA).
AR (Autoregression) component
Captures the dependence of current values on past values, modeling the inherent autocorrelation of the series.
MA (Moving Average) component
Incorporates past forecast errors (residuals), smoothing out randomness and noise while improving predictive capability.
By combining these two aspects, ARMA models can capture both the underlying structure of the data and the random fluctuations, providing a more robust description of price behavior than simple averages alone.
⚙️ Design of This Script
In classical statistics, ARMA coefficients are estimated using the ACF (Autocorrelation Function) and PACF (Partial Autocorrelation Function). However, this process is often too complex for trading environments.
This script simplifies the approach:
The coefficients theta (θ) and epsilon (ε) are fixed, automatically derived from the chosen AR and MA periods.
This eliminates the need for statistical estimation, making the indicator easy to apply with simple parameter adjustments.
The goal is not academic rigor, but practical usability for traders.
🔧 Configurable Parameters
AR Period (p): Order of the autoregressive part.
MA Period (q): Order of the moving average part. Shorter periods yield faster responsiveness, while longer periods produce smoother outputs.
Offset: Shifts the line forward or backward for easier comparison.
Smoothing Period: Additional smoothing to reduce noise.
Source: Choose from Close, HL2, HLC3, High, or Low.
🎯 Advantages Compared to Traditional Moving Averages
Commonly used moving averages such as SMA (Simple Moving Average) and EMA (Exponential Moving Average) are intuitive but have limitations:
SMA applies equal weights to past data, which makes it slow to respond to new price changes.
EMA emphasizes recent data, providing faster response but often introducing more noise and reducing smoothness.
The ARMA-based approach provides two key advantages:
Balance of Responsiveness and Smoothness
AR terms capture autocorrelation while MA terms correct residuals, resulting in a smoother line that still reacts more quickly than SMA or EMA.
Flexible Adaptation
By adjusting the MA period (q), traders can fine-tune how closely the model follows price fluctuations—ranging from rapid short-term responses to stable long-term trend recognition.
📈 Practical Use Cases
The ARMA indicator can be applied in several practical ways:
Trend Direction Estimation
The slope and position of the ARMA line can provide a straightforward read of bullish or bearish market conditions.
Trend Reversal Identification
Changes in the ARMA line’s direction may signal early signs of a reversal, often with faster reaction compared to traditional moving averages.
Confirmation with Other Indicators
Combine ARMA with oscillators such as RSI or MACD to improve the reliability of signals.
Combination with Heikin-Ashi
Heikin-Ashi candles smooth out price action and highlight trend changes. When used together with ARMA, they can significantly enhance reversal detection. For example, if Heikin-Ashi indicates a potential reversal and the ARMA line simultaneously changes direction, the confluence provides a stronger and more reliable trading signal.
⚠️ Important Notes
Risk of Overfitting
Excessive optimization of AR or MA periods may lead to overfitting, where the indicator fits historical data well but fails to generalize to future market conditions. Keep parameter choices simple and consistent.
Weakness in Sideways Markets
ARMA works best in trending environments. In range-bound conditions, signals may become noisy or less reliable. Consider combining it with range-detection tools or volume analysis.
Not a Standalone System
This indicator should not be used in isolation for trading decisions. It is best employed as part of a broader analysis framework, combining multiple indicators and fundamental insights.
💡 Summary
This script brings the theoretical foundation of ARMA into a practical, chart-based tool for traders.
It is particularly valuable for those who find SMA too lagging or EMA too noisy, offering a more nuanced balance between responsiveness and smoothness.
By capturing both autocorrelation and residual structure, ARMA provides a deeper view of market dynamics.
Combined with tools such as Heikin-Ashi or oscillators, it can significantly enhance trend reversal detection and strategy reliability.
Configurable 3MA with Crossover CloudThis script is a versatile and powerful enhancement of the classic triple moving average setup, designed to provide clear, at-a-glance insights into market trends and momentum shifts. It plots three moving averages on your chart and colors the area between the two shorter-term MAs, creating a visual "cloud" that instantly signals bullish or bearish sentiment.
The core of this indicator is its complete customizability, allowing you to tailor it precisely to your trading strategy and the asset you are analyzing.
Key Features:
Dynamic Crossover Cloud: The space between the first two moving averages is colored to represent momentum:
Green Cloud: Indicates a bullish crossover, where the shorter-term MA is above the medium-term MA.
Red Cloud: Indicates a bearish crossover, where the shorter-term MA is below the medium-term MA.
Complete Customization: Unlike standard MA indicators, every aspect of the three moving averages can be configured independently:
Length: Set the period for each MA.
Type: Choose between a Simple Moving Average (SMA) or an Exponential Moving Average (EMA) for each line.
Source: Base the calculation on any price source (close, open, high, low, hl2, etc.).
Individual Visibility Toggles: Clean up your chart by hiding any of the three moving averages directly from the settings panel.
How to Use:
This indicator is ideal for trend-following and crossover strategies.
Identify Momentum: Use the color of the cloud to quickly gauge short-term momentum. A green cloud suggests bullish strength, while a red cloud suggests bearish pressure.
Confirm the Trend: Use the third, long-term moving average (e.g., a 200-period MA) as a macro trend filter. For a higher probability trade, only consider long positions when the price is above the long-term MA and the cloud is green. Conversely, only consider short positions when the price is below the long-term MA and the cloud is red.
Customize for Your Style: Adjust the default settings (13 EMA, 50 SMA, 200 EMA) to fit your preferred timeframes and trading style, whether you're a scalper, day trader, or swing trader.
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.
Demand and Supply by Stock Fusion 1.1Title: Demand and Supply by Stock Fusion 1.1
Description: The "Demand and Supply by Stock Fusion 1.1" indicator is designed to identify and visualize institutional demand and supply zones on a chart, helping traders spot potential areas of price reversal or continuation. It highlights key price levels based on specific candlestick patterns and Momentum volume characteristics, making it suitable for various trading styles such as intraday, swing, or positional trading. The indicator supports customizable settings for timeframes, zone styles, and visual elements, ensuring flexibility for both novice and experienced traders.
Key features include:
• Dynamic Zone Detection: Identifies demand (DZ- RBR, DBR) and supply (SZ- DBD, RBD) zones on user-selected lower timeframes (LTF) or the chart’s native timeframe.
• Candle Coloring: Highlights explosive bullish/bearish candles and accumulation/base candles to emphasize significant price movements or consolidation phases.
• Zone Visualization: Plots zones as colored boxes with optional right extensions and customizable labels for clarity.
• Zone Management: Automatically removes zones after price retests or mitigation, ensuring the chart remains uncluttered.
• Informative Table: Displays real-time data on the closest zone, including the symbol, last traded price (LTP), zone type, proximal/distal prices, and proximity percentage.
• Customizable Settings: Offers options for trading modes (Manual, Normal, Conservative, Study), timeframe selection, zone strength, colors, transparency, and more.
This indicator is ideal for traders seeking to analyze market structure through institutional price action and Explosive Momentum volume based zones, with a focus on clarity and usability.
Functional Overview
1. Input Configuration:
o Trading Mode: Users can select from "Manual," "Normal," "Conservative," or "Study" modes to adjust zone sensitivity and behavior.
o Timeframe Selection: Allows users to choose a lower timeframe (e.g., 1-minute to yearly) for zone detection or use the chart’s native timeframe.
o Zone Strength: Adjustable multiplier for lower timeframe zones to control sensitivity.
o Visual Customization: Options to toggle candle coloring, zone labels, borders, and right extensions, with customizable colors, transparency, and label sizes.
o Table Settings: Configurable table for displaying zone data, with options for position, background color, text color, and font size.
o Zone Removal: Features to automatically remove zones after price retests or full mitigation to keep the chart clean.
2. Zone Detection:
o Identifies demand zones (Rally-Base-Rally , Drop-Base-Rally ) and supply zones (Drop-Base-Drop , Rally-Base-Drop ) based on candlestick patterns, volume thresholds, and price action relative to a moving average.
o Uses a base candle range (1 to 3 candles by default) to detect consolidation periods before explosive price movements.
o Incorporates momentum volume analysis to ensure zones are formed during high-Low volume periods, enhancing reliability.
3. Candle Analysis:
o Explosive Candles: Detects bullish or bearish candles with large body-to-range ratios and high volatility (based on ATR) to highlight significant price movements.
o Boring/Accumulation Candles: Identifies candles with small body-to-range ratios to mark consolidation phases, often preceding breakouts.
o Colors candles based on user preferences to visually distinguish explosive and accumulation phases.
4. Zone Visualization:
o Plots demand and supply zones as colored boxes, with options for "Wick to Wick" or "Body to Wick" zone styles.
o Supports right-extended zones for better visibility of active levels.
o Adds labels to zones (e.g., "D-DZ" / "D-SZ" for daily demand zone) with customizable sizes and colors.
5. Zone Management:
o Automatically removes zones when price closes within or beyond them, depending on user settings for retest or second-leg mitigation.
o Tracks removed zones to prevent redundant plotting and maintain chart clarity.
6. Table Display:
o Displays a table summarizing the closest active zone, including the symbol, current price, zone type (DZ/SZ), proximal/distal prices, and proximity percentage.
o Updates dynamically based on price action and zone changes.
7. Performance Optimization:
o Uses arrays to manage zones, labels, and table data efficiently.
o Limits the number of plotted elements (boxes, labels, lines) to comply with resource constraints (e.g., max 500 boxes/labels).
o Supports dynamic requests to handle data across different timeframes.
Disclaimer:-
The Demand and Supply by Stock Fusion 1.1 indicator is intended solely for informational and technical analysis purposes and does not provide financial advice or trading recommendations. Trading carries significant risks, including the potential for substantial financial losses. Users are fully responsible for their trading decisions and should perform their own research, assess their risk tolerance, and consult a licensed financial advisor before making any trades. The indicator’s signals are derived from market data, and historical performance does not guarantee future results. The developers and providers of this indicator are not liable for any losses or damages resulting from its use.
EMA 1/8 Cross - Fixed Pip TP/SLEMA 1/8 Cross – Fixed Pip TP/SL
This strategy is based on the crossover between EMA 8 and EMA 14 as trading signals:
Long entry → when EMA 1 crosses above EMA 8
Short entry → when EMA 1 crosses below EMA 8
Features:
Fixed pip Take Profit (TP) and Stop Loss (SL), fully adjustable in the settings.
Customizable EMA Fast/Slow lengths for optimization.
Pip size input to match different broker definitions (e.g., XAUUSD often uses 0.10 as one pip).
Suitable for testing scalping or swing trading across multiple timeframes.
⚠️ Disclaimer:
This script is intended for backtesting and educational purposes only. Please optimize parameters and apply proper risk management before using it on live accounts.
Fear & Greed Oscillator — LEAP Puts (v6, manual DMI/ADX)Fear & Greed Oscillator — LEAP Puts (v6, manual DMI/ADX) is a Puts-focused mirror of the Calls version, built to flag top risk and momentum rollovers for timing LEAP Put entries. It outputs a smoothed composite from −100 to +100 using slower MACD, manual DMI/ADX (Wilder), RSI and Stoch RSI extremes, OBV distribution vs. accumulation, and volume spike & direction, with optional Put/Call Ratio and IV Rank inputs. All thresholds, weights, and smoothing match the Calls script for 1:1 customization, and a component table shows what’s driving the score. Reading is simple: higher values = rising top-risk (red shading above “Top-Risk”); lower values = deep dip / bounce risk (green shading). Built-in alerts cover Top-Risk, Deep Dip, and zero-line crosses for clear, actionable cues.
Sorry Cryptoface Market Cypher B//@version=5
indicator("Sorry Cryptoface Market Cypher B", shorttitle="SorryCF B", overlay=false)
// 🙏 Respect to Cryptoface
// Market Cipher is the brainchild of Cryptoface, who popularized the
// combination of WaveTrend, Money Flow, RSI, and divergence signals into a
// single package that has helped thousands of traders visualize momentum.
// This script is *not* affiliated with or endorsed by him — it’s just an
// open-source educational re-implementation inspired by his ideas.
// Whether you love him or not, Cryptoface deserves credit for taking complex
// oscillator theory and making it accessible to everyday traders.
// -----------------------------------------------------------------------------
// Sorry Cryptoface Market Cypher B
//
// ✦ What it is
// A de-cluttered, optimized rework of the popular Market Cipher B concept.
// This fork strips out repaint-prone code and redundant signals, adds
// higher-timeframe and trend filters, and introduces volatility &
// money-flow gating to cut down on the "confetti signals" problem.
//
// ✦ Key Changes vs. Original MC-B
// - Non-repainting security(): switched to request.security(..., lookahead_off)
// - Inputs updated to Pine v5 (input.int, input.float, etc.)
// - Trend filter: EMA or HTF WaveTrend required for alignment
// - Volatility filter: minimum ADX & ATR % threshold to avoid chop
// - Money Flow filter: signals require minimum |MFI| magnitude
// - WaveTrend slope check: reject flat or contra-slope crosses
// - Cooldown filter: prevents multiple signals within N bars
// - Bar close confirmation: dots/alerts only fire once a candle is closed
// - Hidden divergences + “second range” divergences disabled by default
// (to reduce noise) but can be toggled on
//
// ✦ Components
// - WaveTrend oscillator (2-line system + VWAP line)
// - Money Flow Index + RSI overlay
// - Stochastic RSI
// - Divergence detection (WT, RSI, Stoch)
// - Optional Schaff Trend Cycle
// - Optional Sommi flags/diamonds (HTF confluence markers)
//
// ✦ Benefits
// - Fewer false positives in sideways markets
// - Signals aligned with trend & volatility regimes
// - Removes repaint artifacts from higher-timeframe sources
// - Cleaner chart (reduced “dot spam”)
// - Still flexible: all original toggles/visuals retained
//
// ✦ Notes
// - This is NOT the official Market Cipher.
// - Educational / experimental use only. Do your own testing.
// - Best tested on 2H–4H timeframes; short TFs may still look choppy
//
// ✦ Credits
// Original open-source inspirations by LazyBear, RicardoSantos, LucemAnb,
// falconCoin, dynausmaux, andreholanda73, TradingView community.
// This fork modified by Lumina+Thomas (2025).
// -----------------------------------------------------------------------------
LEAP Put Edge — Top Risk Oscillator (v6, divergences + HTF)Pinpoint market tops with precision — a composite oscillator built to spot exhaustion, bearish divergences, and high-probability LEAP Put entry zones.
The LEAP Put Edge — Top Risk Oscillator is designed specifically to help identify high-probability entry points for long-dated Put options (LEAPs) by highlighting exhaustion at market tops. Unlike generic overbought/oversold tools, it combines slower MACD and DMI/ADX for trend quality, RSI and Stochastic RSI for momentum extremes, volume spike and upper-wick exhaustion signals for capitulation risk, and optional bearish divergences in RSI and MACD to confirm weakening strength. The output is a smoothed composite score scaled from -100 to +100, where higher values indicate rising top-risk and bearish edge conditions. Clear thresholds, color-coded plots, and built-in alerts make it straightforward and practical for traders seeking simple, actionable signals to time Put entries with confidence.
XAU Trend Ride - Manual Signals (9 & 21 EMA Pullbacks + Alerts)This strategy is designed for XAUUSD on the 15-minute chart and is based on mean reversion around the 50 EMA.
• A buy signal occurs when price is above the 50 EMA, the EMA is sloping upward, and price makes a pullback into the EMA before turning back up.
• A sell signal occurs when price is below the 50 EMA, the EMA is sloping downward, and price makes a pullback into the EMA before turning back down.
The system uses a fixed 2:1 risk-reward ratio, with the option to scale out partial profits at 1:1. It is intended for trending markets and may produce false signals in choppy, ranging conditions.
This makes the strategy simple, disciplined, and easy to follow without over-complicating the rules.
Canyons Trend Ride SignalTrend alignment signals using 3 EMA's. pre-code written parameters must all be met to throw a signal out. Works best with Heiken ashi candles. Works on Gold, Nas100, S&P 500 and US30
RSI Oscillator fxdealBased on the Pine Script code you provided, here is a detailed description of the indicator's features and functionality.
Indicator Overview
This is the Heikin Ashi RSI Oscillator (HARSI), a custom-built indicator for TradingView. It combines the principles of Heikin Ashi candles and the Relative Strength Index (RSI) to provide a smoothed, trend-focused oscillator in a separate pane below the main chart. The indicator visualizes trend strength, overbought/oversold conditions, and momentum changes using a series of configurable plots and lines.
Key Components and Features
Heikin Ashi RSI Candles: This is the core component. Instead of traditional price data, the indicator uses a custom Heikin Ashi calculation applied to the RSI values. This creates a smoothed, momentum-driven "candle" visualization that filters out market noise, making it easier to identify the direction and strength of the trend. The color of these candles changes to reflect bullish (teal) or bearish (red) momentum.
RSI Plot & Histogram: The indicator includes a standard RSI line plot and an optional histogram. The RSI can be displayed in "Smoothed Mode," which applies a Heikin Ashi-like smoothing to the RSI line itself to reduce volatility and improve trend identification. The histogram visually represents the RSI's value, with its height corresponding to the magnitude of the RSI.
Stochastic RSI: An optional Stochastic RSI is included to provide a different perspective on momentum. This is a "momentum of momentum" indicator that can be used for confirming trend changes or identifying overbought/oversold conditions within the RSI's own range. It can be plotted as either a ribbon (showing the K and D lines filled) or as individual lines.
Bollinger Bands (Stepline Style): The indicator overlays Bollinger Bands on the RSI. These bands adapt to the volatility of the RSI, providing dynamic overbought and oversold levels. The middle band is a simple moving average of the RSI. The upper and lower bands are plotted using a stepline style, giving them a distinct, staggered appearance.
Horizontal Lines: Several fixed horizontal lines are plotted to define key zones:
Overbought/Oversold (OB/OS) Zones: Customizable horizontal lines define overbought and oversold regions, with additional lines for "extreme" levels. These are based on the indicator's zero-median scale.
Traditional RSI Levels: Optional dotted horizontal lines at 70, 50, and 30 help users who are accustomed to traditional RSI readings quickly identify overbought, neutral, and oversold conditions.
Simple EMA IndicatorSimple EMA Indicator by Ashwin Kumar. Includes all prominent timeframe moving averages on a single indicator.
AltCoin & MemeCoin Index Correlation [Eddie_Bitcoin]🧠 Philosophy of the Strategy
The AltCoin & MemeCoin Index Correlation Strategy by Eddie_Bitcoin is a carefully engineered trend-following system built specifically for the highly volatile and sentiment-driven world of altcoins and memecoins.
This strategy recognizes that crypto markets—especially niche sectors like memecoins—are not only influenced by individual price action but also by the relative strength or weakness of their broader sector. Hence, it attempts to improve the reliability of trading signals by requiring alignment between a specific coin’s trend and its sector-wide index trend.
Rather than treating each crypto asset in isolation, this strategy dynamically incorporates real-time dominance metrics from custom indices (OTHERS.D and MEME.D) and combines them with local price action through dual exponential moving average (EMA) crossovers. Only when both the asset and its sector are moving in the same direction does it allow for trade entries—making it a confluence-based system rather than a single-signal strategy.
It supports risk-aware capital allocation, partial exits, configurable stop loss and take profit levels, and a scalable equity-compounding model.
✅ Why did I choose OTHERS.D and MEME.D as reference indices?
I selected OTHERS.D and MEME.D because they offer a sector-focused view of crypto market dynamics, especially relevant when trading altcoins and memecoins.
🔹 OTHERS.D tracks the market dominance of all cryptocurrencies outside the top 10 by market cap.
This excludes not only BTC and ETH, but also major stablecoins like USDT and USDC, making it a cleaner indicator of risk appetite across true altcoins.
🔹 This is particularly useful for detecting "Altcoin Season"—periods where capital rotates away from Bitcoin and flows into smaller-cap coins.
A rising OTHERS.D often signals the start of broader altcoin rallies.
🔹 MEME.D, on the other hand, captures the speculative behavior of memecoin segments, which are often driven by retail hype and social media activity.
It's perfect for timing momentum shifts in high-risk, high-reward tokens.
By using these indices, the strategy aligns entries with broader sector trends, filtering out noise and increasing the probability of catching true directional moves, especially in phases of capital rotation and altcoin risk-on behavior.
📐 How It Works — Core Logic and Execution Model
At its heart, this strategy employs dual EMA crossover detection—one pair for the asset being traded and one pair for the selected market index.
A trade is only executed when both EMA crossovers agree on the direction. For example:
Long Entry: Coin's fast EMA > slow EMA and Index's fast EMA > slow EMA
Short Entry: Coin's fast EMA < slow EMA and Index's fast EMA < slow EMA
You can disable the index filter and trade solely based on the asset’s trend just to make a comparison and see if improves a classic EMA crossover strategy.
Additionally, the strategy includes:
- Adaptive position sizing, based on fixed capital or current equity (compound mode)
- Take Profit and Stop Loss in percentage terms
- Smart partial exits when trend momentum fades
- Date filtering for precise backtesting over specific timeframes
- Real-time performance stats, equity tracking, and visual cues on chart
⚙️ Parameters & Customization
🔁 EMA Settings
Each EMA pair is customizable:
Coin Fast EMA: Default = 47
Coin Slow EMA: Default = 50
Index Fast EMA: Default = 47
Index Slow EMA: Default = 50
These control the sensitivity of the trend detection. A wider spread gives smoother, slower entries; a narrower spread makes it more responsive.
🧭 Index Reference
The correlation mechanism uses CryptoCap sector dominance indexes:
OTHERS.D: Dominance of all coins EXCLUDING Top 10 ones
MEME.D: Dominance of all Meme coins
These are dynamically calculated using:
OTHERS_D = OTHERS_cap / TOTAL_cap * 100
MEME_D = MEME_cap / TOTAL_cap * 100
You can select:
Reference Index: OTHERS.D or MEME.D
Or disable the index reference completely (Don't Use Index Reference)
💰 Position Sizing & Risk Management
Two capital allocation models are supported:
- Fixed % of initial capital (default)
- Compound profits, which scales positions as equity grows
Settings:
- Compound profits?: true/false
- % of equity: Between 1% and 200% (default = 10%)
This is critical for users who want to balance growth with risk.
🎯 Take Profit / Stop Loss
Customizable thresholds determine automatic exits:
- TakeProfit: Default = 99999 (disabled)
- StopLoss: Default = 5 (%)
These exits are percentage-based and operate off the entry price vs. current close.
📉 Trend Weakening Exit (Scale Out)
If the position is in profit but the trend weakens (e.g., EMA color signals trend loss), the strategy can partially close a configurable portion of the position:
- Scale Position on Weak Trend?: true/false
- Scaled Percentage: % to close (default = 65%)
This feature is useful for preserving profits without exiting completely.
📆 Date Filter
Useful for segmenting performance over specific timeframes (e.g., bull vs bear markets):
- Filter Date Range of Backtest: ON/OFF
- Start Date and End Date: Custom time range
OTHER PARAMETERS EXPLANATION (Strategy "Properties" Tab):
- Initial Capital is set to 100 USD
- Commission is set to 0.055% (The ones I have on Bybit)
- Slippage is set to 3 ticks
- Margin (short and long) are set to 0.001% to avoid "overspending" your initial capital allocation
📊 Visual Feedback and Debug Tools
📈 EMA Trend Visualization
The slow EMA line is dynamically color-coded to visually display the alignment between the asset trend and the index trend:
Lime: Coin and index both bullish
Teal: Only coin bullish
Maroon: Only index bullish
Red: Both bearish
This allows for immediate visual confirmation of current trend strength.
💬 Real-Time PnL Labels
When a trade closes, a label shows:
Previous trade return in % (first value is the effective PL)
Green background for profit, Red for losses.
📑 Summary Table Overlay
This table appears in a corner of the chart (user-defined) and shows live performance data including:
Trade direction (yellow long, purple short)
Emojis: 💚 for current profit, 😡 for current loss
Total number of trades
Win rate
Max drawdown
Duration in days
Current trade profit/loss (absolute and %)
Cumulative PnL (absolute and %)
APR (Annualized Percentage Return)
Each metric is color-coded:
Green for strong results
Yellow/orange for average
Red/maroon for poor performance
You can select where this appears:
Top Left
Top Right
Bottom Left
Bottom Right (default)
📚 Interpretation of Key Metrics
Equity Multiplier: How many times initial capital has grown (e.g., “1.75x”)
Net Profit: Total gains including open positions
Max Drawdown: Largest peak-to-valley drop in strategy equity
APR: Annualized return calculated based on equity growth and days elapsed
Win Rate: % of profitable trades
PnL %: Percentage profit on the most recent trade
🧠 Advanced Logic & Safety Features
🛑 “Don’t Re-Enter” Filter
If a trade is closed due to StopLoss without a confirmed reversal, the strategy avoids re-entering in that same direction until conditions improve. This prevents false reversals and repetitive losses in sideways markets.
🧷 Equity Protection
No new trades are initiated if equity falls below initial_capital / 30. This avoids overleveraging or continuing to trade when capital preservation is critical.
Keep in mind that past results in no way guarantee future performance.
Eddie Bitcoin
Delta Pulse Oscillator — GSK-VIZAG-AP-INDIA“Delta Pulse Oscillator visualizes buy vs. sell pressure using smoothed delta %, baselines, and crossover markers.”
📌 Delta Pulse Oscillator — GSK-VIZAG-AP-INDIA
The Delta Pulse Oscillator is a custom-built momentum tool that measures the balance between buying and selling activity and smooths it with moving averages. It provides a visual representation of percentage delta strength with dynamic coloring, baseline levels, and crossover markers.
🔎 Key Features
Delta EMA (%) Line → Shows the smoothed percentage difference between simulated buy and sell volumes.
Signal EMA Line → A shorter EMA applied on Delta EMA to highlight momentum shifts.
Baseline Levels
0 line (neutral balance of buy/sell activity).
+5 baseline (stronger positive pressure).
-5 baseline (stronger negative pressure).
Dynamic Coloring → Green when Delta EMA is above zero, red when below.
Cross Dots
Yellow dots mark when Delta EMA or Signal EMA crosses the zero line.
Orange dots appear when Delta EMA crosses the +5 or –5 baselines.
Green/Red dots highlight when both EMAs stay above +5 or below –5.
Background Fills → Visual zones for positive and negative regions.
🧩 How It Can Be Used
Helps to visualize buying vs. selling pressure in real time.
Highlights when momentum is strengthening or weakening around defined baseline levels.
Useful as a confirmation tool when combined with other forms of analysis.
⚠️ Note: This script is for educational and analytical purposes only. It is not a trading strategy and does not provide buy/sell signals. Always use with additional tools, price action, and proper risk management.
Altcoins % Above Weekly EMA21 Top50-550The indicator shows the percentage of altcoins trading above the weekly EMA21 within a selected group (Top50, Top150, Top550, or Personal).
It helps assess overall altcoin market strength, identify overbought/oversold zones, and spot potential entry or exit points.
Low Volatility Breakout in Trend
█ OVERVIEW
"Low Volatility Breakout in Trend" is a technical analysis tool that identifies periods of low-volatility consolidation within an ongoing trend and signals potential breakouts aligned with the trend's direction. The indicator detects trends using a simple moving average (SMA) of price, identifies consolidation zones based on the size of candle bodies, and displays the percentage change in volume (volume delta) at the breakout moment.
█ CONCEPTS
The core idea of the indicator is to pinpoint moments where traders can join an ongoing trend by capitalizing on breakouts from consolidation zones, supported by additional information such as volume delta. It provides clear visualizations of trends, consolidation zones, and breakout signals to facilitate trading decisions.
Why Use It?
* Breakout Identification: The indicator locates low-volatility consolidation zones (measured by the size of individual candle bodies, not the price range of the consolidation) and signals breakouts, enabling traders to join the trend at key moments.
* Volume Analysis: Displays the percentage change in volume (delta) relative to its simple moving average, providing insight into market activity rather than acting as a signal filter.
* Visual Clarity: Colored trend lines, consolidation boxes (drawn only after the breakout candle closes, not on subsequent candles), and volume delta labels enable quick chart analysis.
* Flexibility: Adjustable parameters, such as the volatility window length or SMA period, allow customization for various trading strategies and markets.
How It Works
* Trend Detection: The indicator calculates a simple moving average (SMA) of price (default: based on the midpoint of high/low) and creates dynamic trend bands, offset by a percentage of the average candle height (band scaling). A price above the upper band signals an uptrend, while a price below the lower band indicates a downtrend. Trend changes occur not when the price crosses the SMA but when it crosses above the upper band or below the lower band (offset by the average candle height multiplied by the scaling factor).
* Consolidation Identification: Identifies low-volatility zones when the candle body size is smaller than the average body size over a specified period (default: 20 candles) multiplied by a volatility threshold — the maximum allowable body size as a percentage of the average body (e.g., 2 means the candle body must be less than twice the average body to be considered low-volatility).
* Breakout Signals: A breakout occurs when the candle body exceeds the volatility threshold, is larger than the maximum body in the consolidation, and aligns with the trend direction (bullish in an uptrend, bearish in a downtrend).
* Visualization: Draws a trend line with a gradient, consolidation boxes (appearing only after the breakout candle closes, marking the consolidation zone), and volume delta labels. Optionally displays breakout signal arrows.
* Signals and Alerts: The indicator generates signals for bullish and bearish breakouts, including the volume delta percentage. Alerts are an additional feature that can be enabled for notifications.
Settings and Customization
* Volatility Window: Length of the period for calculating the average candle body size (default: 20).
* Volatility Threshold: Maximum candle body size as a percentage of the average body (default: 2).
* Minimum Consolidation Bars: Number of candles required for a consolidation (default: 10).
* SMA Length for Trend: Period of the SMA for trend detection (default: 100).
* Band Scaling: Offset of trend bands as a percentage of the average candle height (default: 250%), determining the distance from the SMA.
* Visualization Options: Enable/disable consolidation boxes (Show Consolidation Boxes, drawn after the breakout candle closes), volume delta labels (Show Volume Delta Labels), and breakout signals (Show Breakout Signals, e.g., triangles).
* Colors: Customize colors for the trend line, consolidation boxes, and volume delta labels.
█ OTHER SECTIONS
Usage Examples
* Joining an Uptrend: When the price breaks out of a consolidation in an uptrend with a volume delta of +50%, open a long position; the signal is stronger if the breakout candle surpasses a local high.
* Avoiding False Breakouts: Ignore breakout signals with low volume delta (e.g., below 0%) and combine the indicator with other tools (e.g., support/resistance levels or oscillators) to confirm moves in low-activity zones.
Notes for Users
* On markets that do not provide volume data, the indicator will not display volume delta — disable volume labels and enable breakout signals (e.g., triangles) instead.
* Adjust parameters to suit the market's characteristics to minimize noise.
* Combine with other tools, such as Fibonacci levels or oscillators, for greater precision.
Brandon MAA configurable moving-average tool (SMA/EMA/… including exotic types) that colors trend by “price vs MA” or “rising MA,” and marks MA touches (support/resistance) plus rejection breakouts with labels. It also offers tolerance bands, optional smoothing, bar coloring, and glow styling for rapid trend read-through.
VSTBrandonBuilds a volume-adjusted MA baseline, then runs an ATR Supertrend with asymmetric multipliers to determine bullish/bearish state. The line, glow band, gradient area, candles, and Long/Short labels all follow the active trend, with alert hooks for automation.
Trendlines, SMC, SR, This is a Comprehensive Indicator - It includes Trendlines and shows break outs, SMC, FV gaps, Order Blocks, Support and Resistance, Moving Averages, and Kernel Switch. "All in One"
UniqueHorn - MA Indicator with SMI📊 Overview
The UniqueHorn MA-SMI Indicator is a comprehensive trading tool that combines multiple Moving Averages with the Stochastic Momentum Index (SMI) in a clean, organized display. Designed for traders who need clear visual analysis of trend, momentum, and potential reversal points.
✨ Key Features
Moving Averages (8 Total)
3 EMAs: 5, 10, 20 (for quick trend detection)
5 SMAs: 30, 40, 50, 65, 200 (for medium to long-term trends)
Smart Timeframe Adaptation
Daily & Lower: EMA 5, 10, 20 | SMA 50, 65, 200
Weekly Chart: EMA 10, 20 | SMA 30, 40, 50, 200
Automatic display optimization based on timeframe
SMI Integration (Stochastic Momentum Index)
Visual signals directly on main chart
Overbought/Oversold markers
Bullish/Bearish crossover signals
Optional background coloring for extreme zones
Current SMI value as label
Climax Detection
Buying Climax: New 52-week high with red candle (weakness signal)
Selling Climax: New 52-week low with green candle (strength signal)
Works optimally on weekly charts
📈 Usage & Strategies
Trend Following
Use MAs as dynamic support/resistance
EMA crossovers for entry/exit signals
SMA 200 as primary trend filter
Momentum Trading
SMI < -40: Oversold zone → Potential long opportunity
SMI > 40: Overbought zone → Potential short opportunity
SMI crossovers as early trend reversal signals
Climax Trading
Buying Climax: Warning of potential top formation
Selling Climax: Indication of potential bottom formation
⚙️ Customization Options
Individual color selection for each MA
Separate line widths for EMA 5, 10, and other MAs
Show/Hide individual components
Fully adjustable SMI parameters
Optional info table with status overview
Comprehensive alert system for all signals
🎯 Ideal For
Swing Traders: Use the combination of MAs and SMI for optimal entries/exits
Position Traders: Focus on longer-term MAs and weekly chart signals
Day Traders: Fast EMAs with SMI momentum for short-term setups
📝 Notes
Climax signals work exclusively on weekly charts
SMI signals are available in all timeframes
Timeframe-specific MA display reduces visual clutter
Combine multiple signals for higher probability trades
🔔 Alert Functions
The indicator provides alerts for:
Buying/Selling Climaxes
SMI Overbought/Oversold zones
SMI Bullish/Bearish crossovers
EMA crossovers
Price-SMA200 crossovers
Version: 1.0
Pine Script: v6
Author: UniqueHorn
This indicator is the result of careful development and optimization for professional trading. For questions or suggestions, please use the comments section.
ATR% Multiples from SMA/EMAInspired by the indicator ATR% multiple from 50-MA by @jfsrev, this tool measures how far price is extended from a Moving Average using an ATR% multiple.
What’s added vs. ATR% multiple from 50-MA indicator:
Downside multiples — flags extensions below and above the MA.
Timeframe selection — compute on Daily/Weekly/Monthly or intraday, independent of your chart.
EMA/SMA toggle — choose the MA type (EMA/SMA).
Multi-thresholds — set several ATR% multiple levels.
How to use the indicator:
I find the ATR multiple to be a very versatile tool that can be used for profit taking, mean reverting, and to make better assumption about what market environment to expect.
Which thresholds should you use?
It's up to you really. Personally I use them in a quite discretionary manner where I will change inputs depending on market and it's current regime - E.g. if we are in a strong uptrend I might use higher multiples to the upside and lower multiples to the downside, and if the market is in a range I will use them in a different manner. Be creative, test things, and work out what makes sense to you and the market and timeframe you are trading in.
