Trend Flow [BreakoutOrFakeout]Trend Flow
What It Does
A professional trend visualization system that transforms market direction into a flowing, dynamic display. See trends develop, strengthen, and reverse with crystal clarity through intelligent visual layers that adapt to market conditions in real-time.
Why Traders Choose This
Visual Clarity: Multi-dimensional cloud system instantly reveals trend direction, strength, and momentum without cluttering your chart.
Smart Filtering: Built-in intelligence filters out market noise, showing only high-confidence signals worth your attention.
Adaptive Technology: Automatically adjusts to market volatility across all timeframes - from 1-minute scalping to daily swing trading.
Professional Design: Clean, modern aesthetics that make your charts look institutional-grade while remaining intuitive to read.
How to Apply It
Trend Direction: Cloud color shows the dominant trend at a glance - no guesswork required.
Entry Timing: Arrow signals appear only when momentum confirms the trend change, reducing false signals.
Strength Assessment: Visual intensity and special markers reveal when trends are accelerating or weakening.
Risk Management: Cloud width and color transitions help identify optimal stop-loss and take-profit zones.
Visual Language
Bright Colors = Strong, confident trends
Faded Colors = Weak or uncertain conditions
Special Markers = Trend acceleration points
Arrow Signals = High-probability entry opportunities
Best For
✓ Trend followers seeking clear directional bias
✓ Swing traders waiting for confirmed moves
✓ Day traders needing quick visual confirmation
✓ Position traders tracking longer-term flows
✓ Anyone wanting professional-grade chart aesthetics
Key Benefits
No repainting - all signals are final
Works on all markets and timeframes
Minimal settings - works great out of the box
Alert-ready for automated notifications
Combines multiple confirmation layers
The Bottom Line
Stop squinting at messy charts trying to identify trends. Trend Flow makes market direction obvious through elegant visual design that's both beautiful and functional. Your charts will never look the same.
⚠️ DISCLAIMER: For educational purposes only. Trading involves risk. Past performance does not guarantee future results. Always use proper risk management.
Rata-Rata Pergerakan / Moving Averages
Andean Oscillator (Variant Sr.K)Andean Oscillator (Variant Sr.K)
The Andean Oscillator is a momentum and trend indicator designed for manual trading.
It measures the relative strength between buyers and sellers, helping to identify trend changes and momentum zones.
Key Features:
Bipolar Oscillator: shows the difference between bullish and bearish strength.
Colored Histogram: green indicates bullish momentum, red bearish; intensity reflects strength.
Signal Line (EMA): smooths the oscillator for trend change confirmation.
Dynamic ±1σ Levels: highlight extreme momentum zones.
Zero-Cross Markers: triangles visually signal trend bias changes.
Optional Alerts: get notifications when the oscillator crosses zero.
Recommended Use:
Assess momentum direction and strength.
Detect trend changes via zero-crosses or signal line crossovers.
Manual trading with clear visual confirmation, no automation required.
Customizable Settings:
Length: oscillator calculation period.
Signal Length: EMA period of the signal line.
Show ±1σ Levels: toggle dynamic reference lines on/off.
Ideal for traders seeking a visual, reliable tool that combines momentum and trend strength in a clear and actionable way
Signal Generator: HTF EMA Momentum + MACDSignal Generator: HTF EMA Momentum + MACD
What this script does
This indicator combines a higher-timeframe EMA trend filter with a MACD crossover on the chart’s timeframe. The goal is to make MACD signals more selective by checking whether they occur in the same direction as the broader trend.
How it works
- On the higher timeframe, two EMAs are calculated (short and long). Their difference is used as a simple momentum measure.
- On the chart timeframe, the MACD is calculated. Crossovers are then filtered with two conditions:
1.They must align with the higher-timeframe EMA trend.
2.They must occur beyond a small “zero band” threshold, with a minimum distance between MACD and signal lines.
- When both conditions are met, the script can plot BUY or SELL labels. ATR is used only to shift labels up or down for visibility.
Visuals and alerts
- Histogram bars show whether higher-timeframe EMA momentum is rising or falling.
- MACD main and signal lines are plotted with optional scaling.
- Dotted lines show the zero band region.
- Optional large BUY/SELL labels appear when conditions are confirmed on the previous bar.
- Alerts can be enabled for these signals; they trigger once per bar close.
Notes and limitations
- Higher-timeframe values are only confirmed once the higher-timeframe candle has closed.
- Scaling factors affect appearance only, not the logic.
- This is an open-source study intended as a learning and charting tool. It does not provide financial advice or guarantee performance.
Goat Multi-TF EMAMulti-TF EMA made by Goat.
Used in most of his trades and analysis to catch support & resistance.
Select wich EMA you want directly in your settings to not have tons of indicators only for EMAs.
Chanpreet Moving AveragesChanpreet Moving Averages
by Chanpreet Singh
This script plots up to four customizable moving averages (SMA, EMA, SMMA/RMA, WMA, VWMA).
You can adjust:
Moving average type
Source (close, open, hl2, etc.)
Length
Color
An optional input lets you select a higher or custom timeframe for the moving averages (e.g., daily MA on a 1-hour chart). If left empty, the script calculates them on the current chart timeframe, so the lines scale and move naturally when zooming or panning.
This tool is designed for educational and visualization purposes, helping traders see trend direction and potential areas of dynamic support/resistance.
⚠️ Disclaimer: This script does not provide financial advice or trading signals. Use it at your own risk. Always do your own research before making trading decisions.
Multiple Colored Moving AveragesMULTIPLE COLORED MOVING AVERAGES - USER GUIDE
DISCLAIMER
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Both the code and this documentation were created heavily using artificial intelligence. I'm lazy...
This indicator was inspired by repo32's "Moving Average Colored EMA/SMA" indicator. *
What is this indicator?
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This is a TradingView indicator that displays up to 4 different moving averages on your chart simultaneously. Each moving average can be customized with different calculation methods, colors, and filtering options.
Why would I use multiple moving averages?
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- See trend direction across different timeframes at once
- Identify support and resistance levels
- Spot crossover signals between fast and slow MAs
- Reduce false signals with filtering options
- Compare how different MA types react to price action
What moving average types are available?
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11 different types:
- SMA: Simple average, equal weight to all periods
- EMA: Exponential, more weight to recent prices
- WMA: Weighted, linear weighting toward recent data
- RMA: Running average, smooth like EMA
- DEMA: Double exponential, reduced lag
- TEMA: Triple exponential, even less lag
- HMA: Hull, fast and smooth combination
- VWMA: Volume weighted, includes volume data
- LSMA: Least squares, based on linear regression
- TMA: Triangular, double-smoothed
- ZLEMA: Zero lag exponential, compensated for lag
How do I set up the indicator?
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Each MA has these settings:
- Enable/Disable: Turn each MA on or off
- Type: Choose from the 11 calculation methods
- Length: Number of periods (21, 50, 100, 200 are common)
- Smoothing: 0-10 levels of extra smoothing
- Noise Filter: 0-5% to ignore small changes
- Colors: Bullish (rising) and bearish (falling) colors
- Line Width: 1-5 pixels thickness
What does the smoothing feature do?
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Smoothing applies extra calculations to make the moving average line smoother. Higher levels reduce noise but make the MA respond slower to price changes. Use higher smoothing in choppy markets, lower smoothing in trending markets.
What is the noise filter?
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The noise filter ignores small percentage changes in the moving average. For example, a 0.3% filter will ignore any MA movement smaller than 0.3%. This helps eliminate false signals from minor price fluctuations.
When should I use this indicator?
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- Trend analysis: See if market is going up, down, or sideways
- Entry timing: Look for price bounces off MA levels
- Exit signals: Watch for MA slope changes or crossovers
- Support/resistance: MAs often act as dynamic levels
- Multi-timeframe analysis: Use different lengths for different perspectives
What are some good settings to start with?
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Conservative approach:
- MA 1: EMA 21 (short-term trend)
- MA 2: SMA 50 (medium-term trend)
- MA 3: SMA 200 (long-term trend)
- Low noise filtering (0.1-0.3%)
Active trading:
- MA 1: HMA 9 (very responsive)
- MA 2: EMA 21 (short-term)
- MA 3: EMA 50 (medium-term)
- Minimal or no smoothing
How do I interpret the colors?
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Each MA changes color based on its direction:
- Bullish color: MA is rising (upward trend)
- Bearish color: MA is falling (downward trend)
- Gray: MA is flat or unchanged
What should I look for in crossovers?
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- Golden Cross: Fast MA crosses above slow MA (bullish signal)
- Death Cross: Fast MA crosses below slow MA (bearish signal)
- Multiple crossovers in same direction can confirm trend changes
- Wait for clear separation between MAs after crossover
How do I use MAs for support and resistance?
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- In uptrends: MAs often provide support when price pulls back
- In downtrends: MAs may act as resistance on rallies
- Multiple MAs create support/resistance zones
- Stronger levels where multiple MAs cluster together
Can I use this with other indicators?
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Yes, it works well with:
- Volume indicators for confirmation
- RSI or MACD for timing entries
- Bollinger Bands for volatility context
- Price action patterns for setup confirmation
What if I get too many signals?
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- Increase smoothing levels
- Raise noise filter percentages
- Use longer MA periods
- Focus on major crossovers only
- Wait for multiple MA confirmation
What if signals are too slow?
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- Reduce smoothing to 0
- Lower noise filter values
- Switch to faster MA types (HMA, ZLEMA, DEMA)
- Use shorter periods
- Focus on the fastest MA only
Which MA types work best in different markets?
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Trending markets: EMA, DEMA, TEMA (responsive to trends)
Choppy markets: SMA, TMA, HMA with smoothing (less whipsaws)
High volatility: Use higher smoothing and noise filtering
Low volatility: Use minimal filtering for better responsiveness
Do I need all the advanced features?
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No. Start with basic settings:
- Choose MA type and length
- Set colors you prefer
- Leave smoothing at 0
- Leave noise filter at 0
Add complexity only if needed to improve signal quality.
How do I know if my settings are working?
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- Backtest on historical data
- Paper trade the signals first
- Adjust based on market conditions
- Keep a trading journal to track performance
- Be willing to modify settings as markets change
Can I save different configurations?
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Yes, save different indicator templates in TradingView for:
- Different trading styles (scalping, swing trading)
- Different market conditions (trending, ranging)
- Different instruments (stocks, forex, crypto)
Short Sellingell signal when RSI < 40, MACD crosses zero or signal line downward in negative zone, close below 50 EMA, candle bearish.
Strong sell signal confirmed on 5-minute higher timeframe with same conditions.
Square off half/full signals as defined.
Target lines drawn bold based on previous swing lows and extended as described.
Blue candle color when RSI below 30.
One sell and one full square off per cycle, blocking repeated sells until full square off.
ZenAlgo - MarsThis indicator is a momentum-based oscillator built around a modified RSI calculation and subsequent smoothing with moving averages. It introduces a layered structure where divergences, signal crossovers, histogram dynamics, and multi-timeframe tables all combine into a comprehensive framework. The purpose is not to forecast markets with certainty but to provide structured context on momentum shifts, divergences, and trend bias.
Core Calculation
The base source is the closing price.
From it, relative upward and downward movements are measured over a chosen lookback length (by preset or manual input).
These values are normalized into an oscillator bounded between 0–100, equivalent to a traditional RSI structure.
This oscillator is smoothed by a moving average (SMA by default), producing the main line (MA).
A secondary smoothing (EMA by default) of the MA produces a signal line, against which crossovers are monitored.
Why this structure:
RSI captures momentum imbalance between gains and losses. Smoothing removes noise and makes divergences more stable to identify. Adding a signal line allows crossover events to highlight relative strengthening or weakening momentum phases.
Zones and Visual Guides
Static horizontal levels are placed at 70 (upper bound), 50 (mid-line), and 30 (lower bound).
The region between 30–70 is softly filled to emphasize the neutral zone.
Color changes on the MA line occur depending on whether it is above or below the signal line.
Why these levels:
Values above 70 or below 30 are commonly interpreted as overextended regions. A central 50 line separates positive from negative bias. These anchors allow consistent interpretation of oscillator movements.
Crossover Events
Alerts and conditions are defined for when the MA crosses above or below the signal line.
These are not entry signals by themselves but indicate shifts in relative momentum strength.
Divergence Detection
Divergences are calculated on the smoothed MA rather than raw RSI.
Four conditions are tracked:
Regular bullish (price makes a lower low while MA makes a higher low).
Hidden bullish (price higher low with MA lower low).
Regular bearish (price higher high with MA lower high).
Hidden bearish (price lower high with MA higher high).
Each detected divergence is marked with shapes and labeled "R" (regular) or "H" (hidden).
Why divergences are used:
They highlight when oscillator momentum disagrees with price structure. Regular divergences often suggest exhaustion, while hidden divergences may appear during continuation phases.
RSI & MA Multi-Timeframe Table
A table can be displayed showing RSI and MA values across multiple timeframes (1m, 5m, 15m, 1h, 4h, 1D).
For each, the relationship (Rising, Falling, Neutral) is determined by comparing RSI and MA.
Colors are adjusted depending on value ranges (extreme low, oversold, overbought, etc.).
Added value:
Instead of analyzing divergences or crossovers only on one chart, the table provides a compact overview of aligned or conflicting conditions across timeframes.
Strong and Warning Indications
"Strong" mark (Diamond) appear when the MA is firmly biased above or below 50 and hidden divergence supports the trend.
"Warning" mark (Triangle) appear when bias is strong but a regular divergence forms in the opposite direction.
Shapes mark these conditions, and alerts are available.
Why this distinction:
Hidden divergences often accompany continuation phases, while regular divergences may challenge the prevailing bias. Marking them separately allows the user to distinguish between potential trend reinforcement versus warning conditions.
Signal Table
A separate table summarizes:
Overall trend bias (Bull, Full Bull, Bear, Full Bear, Flat).
Time spent in each key zone.
Current MA trend (Rising, Falling, Flat).
Visual icons and color codes provide quick interpretation.
Time in Zones
The indicator measures how many bars (converted into minutes) the MA has spent:
above 70
above 50
below 50
below 30
These values appear in the signal table.
Why this matters:
Extended time in an extreme zone can show persistent momentum. Quick reversals versus sustained positioning give different context for bias strength.
MA vs Signal Histogram
A histogram plots the difference between MA and signal line, shifted around the 50 level.
Rising differences are shown with brighter coloring, falling differences with faded tones.
This emphasizes whether momentum is accelerating or decelerating.
Daily VWAP Integration
When the MA crosses the 50 level, additional conditions check whether the histogram is aligned and whether price is above or below the daily VWAP.
Only when both momentum bias and VWAP alignment agree are triangle markers shown.
Why VWAP is included:
VWAP serves as an intraday mean reference. Requiring alignment between oscillator momentum and price position relative to VWAP reduces random crossover noise.
Added Value Over Free Indicators
Divergences are calculated on smoothed momentum rather than raw RSI, reducing false positives.
Integration of multi-timeframe tables avoids the need to manually switch charts.
Bias measurement in terms of time spent in zones adds a temporal dimension often missing in basic oscillators.
Combining histogram dynamics with VWAP filtering provides context not present in typical RSI or MA overlays.
Limitations and Disclaimers
Divergences are not predictive on their own; price may continue without respecting them.
Extreme readings (e.g., above 70) can remain extended for long periods, especially in strong trends.
Multi-timeframe aggregation may introduce repainting effects when lower timeframes update faster than higher ones.
Signals must be interpreted in broader market context; the indicator does not provide trade entries or exits by itself.
How to Interpret Values
Above 70: momentum is strongly stretched upward.
Below 30: momentum is strongly stretched downward.
Crossing 50: often marks a structural change in directional bias.
MA rising vs. falling: tracks whether momentum pressure is increasing or decreasing.
Divergence labels: "R" = potential reversal, "H" = potential continuation.
Tables: confirm whether bias is consistent across multiple timeframes.
Best Use
Observe divergences in conjunction with bias tables to understand whether short-term moves align with higher-timeframe conditions.
Treat "Strong" and "Warning" markers as contextual alerts, not direct signals.
Use the histogram and VWAP alignment to filter out weaker crossovers.
Combine with price action and risk management rather than using in isolation.
Short SellingStrong sell signal confirmed on 5-minute higher timeframe with same conditions.
Square off half/full signals as defined.
Target lines drawn bold based on previous swing lows and extended as described.
Blue candle color when RSI below 30.
Market Bias [Mario]Indicator Description: Market Bias
Core Objective and Philosophy
The Market Bias indicator is designed not as a simple signal generator, but as a comprehensive tool for trend analysis and directional bias assessment. Its primary purpose is to provide traders with a clear, at-a-glance understanding of the market's direction across multiple timeframes. By visualizing the alignment of trends, it helps traders make more informed decisions, ensuring they are trading in harmony with the broader market momentum rather than against it. This is a tool for strategic positioning, not for providing blind buy or sell commands.
How It Works: The Core Mechanic
The indicator's logic is based on the relationship between two configurable moving averages (MAs): a Fast MA (defaulting to a 9-period EMA) and a Slow MA (defaulting to a 21-period SMA). The market bias on any given timeframe is determined as follows:
Bullish Bias: When the Fast MA is trading above the Slow MA, it indicates positive, upward momentum.
Bearish Bias: When the Fast MA is trading below the Slow MA, it indicates negative, downward momentum.
Users have full control to customize the type (SMA, EMA, WMA, etc.) and length of each moving average to fit their specific trading style and the asset being analyzed.
Key Feature: The Higher Timeframe (HTF) Bias Table
This is the most powerful feature of the indicator and its main reason for existence. It displays a simple, color-coded table in the corner of the chart, showing the real-time bias for the Daily (D), 4-Hour (4H), and 1-Hour (1H) timeframes.
Purpose: The HTF table solves a critical problem for traders: losing sight of the bigger picture. A trader on a 15-minute chart might see a setup to go long, but if the 4H and Daily charts are strongly bearish, that trade is fighting a powerful current and has a lower probability of success.
Application: By checking this table, a trader can instantly verify if their intended trade direction is aligned with the higher timeframe trends. The ideal scenario is "confluence," where the bias is the same across all key timeframes (e.g., D, 4H, and 1H are all Bullish), giving the trader a strong conviction to only look for long entries.
On-Chart Visual Aids
To support the analysis on the current chart, the indicator provides several visual aids:
Moving Average Plots: Both the Fast and Slow MAs are drawn directly on the chart, allowing traders to see their interaction with price in real-time.
Color-Coded Bars: To make the current trend immediately obvious, the chart's price bars can be colored. Green bars signify a bullish bias (Fast > Slow), while red bars signify a bearish bias (Fast < Slow).
Crossover Markers (Optional): While the indicator is not a signal provider, it can optionally display "Buy" (up arrow) and "Sell" (down arrow) markers when the MAs cross. These should not be interpreted as direct trade signals. Instead, they serve as alerts that the market momentum may be shifting on the current timeframe. They are best used as points of interest or for confirming a thesis that is already supported by the HTF bias.
Summary
In essence, the Market Bias indicator is a decision-support tool. It encourages a disciplined, top-down approach to trading.
Use the HTF Table first to establish your strategic directional bias for the day or week.
Use the on-chart MAs and colored bars to analyze the trend on your preferred trading timeframe.
Use the optional crossover markers only as a final confirmation or timing tool, ensuring they align with the dominant bias established by the higher timeframes.
2 of 3 Confluence StrategyA strategy created for swing and positional trading on stocks and index. Best to use on daily or minimum hourly time frame. It will also work in smaller time frames but there will be some noise.
GC Checklist Signals (All TF, v6 • SR-safe • Clean blocks)GC (COMEX Gold) checklist strategy with a 3:1 reward-to-risk to your training bot. It enforces the following rules:
Heiken Ashi chart logic for color, wicks, and doji detection
100-EMA filter (only buys above / sells below)
Market structure: higher-low above EMA for buys; lower-high below EMA for sells (simple pivot check)
Clean pullback: at least 2 opposite-color candles; clean = no top wicks (buys) / no bottom wicks (sells)
Entry: on high-volume doji (body ≤ ~12% of range and volume ≥ last 1–3 candles), as soon as it closes
Stops: sell = above doji high; buy = below doji low
Liquidation Strategy📈 It enters a long trade when long liquidation spikes above a set threshold.
📉 It enters a short trade when short liquidation drops below the negative threshold.
🧮 It optionally filters entries using an EMA multiplier.
🔁 It exits long when RSI crosses below its smoothed version.
🔄 It exits short when RSI crosses above its smoothed version.
🔗 It requires linking to the Liquidations indicator on Bybit or OKX charts.
[DEM] RMEMA Bars RMEMA Bars is a multi-factor trend confirmation indicator that combines a double-smoothed moving average with momentum, trend direction, and price position analysis to generate color-coded bar signals. The indicator uses an RMA-smoothed EMA (21-period EMA smoothed by 5-period RMA) as its primary trend filter, while incorporating four additional technical conditions: price position relative to recent highs/lows over a 20-period window, Parabolic SAR directional bias, relative positioning of recent highs versus lows, and MACD momentum direction using extended parameters (50/100/21). Green bars appear when price is above SAR, recent highs dominate recent lows, MACD is positive, and the smoothed moving average is rising, while red bars signal the opposite conditions with price below SAR, recent lows dominating, negative MACD, and falling moving average. Purple bars indicate mixed or transitional conditions where not all criteria align, creating a comprehensive visual system that requires multiple technical factors to confirm before signaling strong bullish or bearish conditions.
[DEM] Parabolic SAR Moving Average (PSARMA) Parabolic SAR Moving Average is a smoothed trend-following indicator that applies a moving average filter to traditional Parabolic SAR values to create a more stable directional signal with reduced whipsaws. The indicator calculates standard Parabolic SAR using customizable acceleration parameters (start, increment, and maximum values), then applies a 200-period RMA smoothing to eliminate the frequent reversals that can occur with raw SAR signals in sideways or volatile markets. This smoothed approach transforms the typically jagged SAR plot into a flowing yellow line that better represents the underlying trend direction while maintaining the SAR's inherent ability to accelerate during strong trending moves. The result is a hybrid indicator that combines the trend-following characteristics of moving averages with the acceleration-based logic of Parabolic SAR, making it particularly useful for identifying major trend changes and providing cleaner entry and exit signals in trending markets.
[DEM] On Balance Volume On Balance Volume is an enhanced version of the classic OBV indicator that transforms volume-price momentum into a histogram format with dynamic color coding to visualize trend strength and direction changes. The indicator calculates traditional On Balance Volume by accumulating volume based on price direction, then applies user-selectable smoothing (SMA, EMA, RMA, WMA, or VWMA) followed by dual RMA filtering with fast (14-period) and slow (80-period) parameters to create a momentum oscillator. The final output displays the difference between fast and slow lines as colored columns, where lime indicates strengthening upward momentum, red shows intensifying downward momentum, fuchsia represents weakening upward momentum, and green signals weakening downward momentum. This approach provides traders with a clear visual representation of volume-based momentum shifts while filtering out noise through multiple layers of smoothing, making it easier to identify significant changes in buying and selling pressure compared to traditional OBV displays.
[DEM] Multiple Linear Regression Score Multiple Linear Regression Score is a composite momentum indicator that evaluates market conditions by analyzing a reference symbol (defaulting to NDX) across multiple technical dimensions and combining them into a single predictive score. The indicator processes ten different technical variables including RSI, MACD components (line, signal, and histogram), price relationships to various moving averages (10, 50, 100, 200), and short-term price changes (1-day and 5-day), converting most into binary signals (1 or 0) based on whether they're above or below zero. These binary and continuous inputs are then weighted using regression-derived coefficients and combined into a final percentage score that oscillates around zero, with the indicator also calculating a 20-period standard deviation of the score to measure volatility. This approach creates a data-driven sentiment gauge that quantifies the overall technical health of the reference market by mathematically weighting the importance of each technical factor based on historical relationships.
[DEM] Multiple Linear Regression Oscillator Multiple Linear Regression Oscillator is a sophisticated momentum indicator that combines volume-weighted price action with multiple timeframe price changes to generate predictive signals through a linear regression model. The indicator calculates a volume-price ratio over 5 periods and incorporates price changes across four different lookback periods (2, 5, 10, and 20 bars), applying specific regression coefficients to each variable to produce a normalized oscillator that fluctuates around zero. The main output is plotted alongside a 10-period RMA smoothed version in yellow, with reference lines at +1, 0, and -1 to help identify overbought, neutral, and oversold conditions. This mathematical approach attempts to predict short-term price movements by weighting the historical relationship between volume, price momentum, and multi-timeframe price changes, essentially creating a data-driven oscillator that goes beyond traditional technical indicators by incorporating machine learning-derived coefficients.
[DEM] Moving Average Signal (With Backtesting) Moving Average Signal (With Backtesting) is designed to generate buy and sell signals using a highly configurable moving average system with over 20 different moving average types (including EMA, SMA, HMA, ALMA, McGinley, TRAMA, and others) combined with dynamic upper and lower bands based on standard deviation or ATR multipliers. It also includes a comprehensive backtesting framework to evaluate the historical performance of these signals. The indicator overlays directly on the price chart, plotting the moving average with upper and lower bands while coloring bars green when price is above the upper band, red when below the lower band, and purple when between the bands. The strategy generates buy signals when price crosses above the upper band after being below it for one bar but above it for the previous three bars (indicating a breakout after brief consolidation), and sell signals under opposite conditions with the lower band, creating a momentum-based system that filters for sustained moves beyond the moving average envelope while offering extensive customization options and integrated backtesting metrics.
[DEM] Four RMA Signal (With Backtesting) Four RMA Signal (With Backtesting) is designed to generate buy and sell signals based on a hierarchical alignment of four Rolling Moving Averages (RMA) with periods of 200, 300, 400, and 500, combined with price action confirmation through the fastest RMA line. It also includes a comprehensive backtesting framework to evaluate the historical performance of these signals. The indicator overlays directly on the price chart, plotting signals and displaying performance statistics in a table. The strategy generates buy signals when all four RMAs are aligned in ascending order (200>300>400>500, indicating strong bullish momentum across multiple timeframes) and the low crosses above the 200-period RMA, while sell signals are triggered when the RMAs are aligned in descending order (200<300<400<500, indicating strong bearish momentum) and the high crosses below the 200-period RMA, ensuring signals only occur during periods of confirmed long-term directional bias with immediate price confirmation through the fastest moving average.
[DEM] EMA Crossover Signal (With Backtesting) EMA Crossover Signal (With Backtesting) is designed to generate buy and sell signals based on the classic exponential moving average crossover strategy using two configurable EMA periods (default 9 and 21). It also includes a comprehensive backtesting framework to evaluate the historical performance of these signals. The indicator overlays directly on the price chart, plotting signals and displaying performance statistics in a table. The strategy generates buy signals when the shorter EMA crosses above the longer EMA (indicating upward momentum shift) and sell signals when the shorter EMA crosses below the longer EMA (indicating downward momentum shift), while the integrated backtesting system tracks signal accuracy, average returns, signal frequency per month, and total correct predictions for both buy and sell signals over a configurable holding period to help traders evaluate the effectiveness of the crossover parameters.
[DEM] EMA Cloud & Bars EMA Cloud & Bars is designed to provide visual trend analysis by combining two exponential moving averages of different lengths (default 50 and 150) with both a color-coded cloud fill and optional bar coloring to identify market conditions. The indicator plots the two EMAs as semi-transparent lines and fills the area between them with blue when the shorter EMA is above the longer EMA (indicating bullish conditions) or red when the shorter EMA is below the longer EMA (indicating bearish conditions). Additionally, it colors price bars green when price is above the shorter EMA and the shorter EMA is above the longer EMA (strong bullish alignment), red when price is below the shorter EMA and the longer EMA is above the shorter EMA (strong bearish alignment), and purple for all other conditions, providing traders with multiple visual cues for trend direction and strength while offering toggleable options for both the cloud display and bar coloring features.
[DEM] Double Hull Moving Average (DHMA) Double Hull Moving Average (DHMA) is designed to create an ultra-smooth and responsive trend-following indicator by applying the Hull Moving Average calculation twice to reduce lag while maintaining smoothness. The indicator first calculates a Hull Moving Average of the source price over the specified length (default 233), then applies another Hull Moving Average to the result, and finally uses the standard Hull formula (2 * HMA1 - HMA2) to create the Double Hull Moving Average. The resulting line changes color dynamically from green when trending upward to red when trending downward, with matching bar colors to provide clear visual confirmation of trend direction, offering traders a highly refined moving average that responds quickly to price changes while filtering out most market noise.
