Infinity Flow OscillatorInfinity Flow Oscillator — Rmi / Mfo Wave Energy & Range Compression
Flow is a momentum and pressure oscillator designed to help traders read directional flow, internal market pressure, wave movement and compression conditions in one clean lower-panel tool.
The oscillator combines several components into a single visual flow reading:
• RMI Flow
• MFI Pressure
• WaveTrend Energy
• Range Compression / Expansion
• Flow Score from -100 to +100
• Bullish and bearish confirmation dots
• Strong and extreme momentum zones
• Layered fills and cloud-style visual structure
The goal of this oscillator is to make momentum easier to read visually. It is not designed to predict price movement or replace a full trading plan. It should be used as a confirmation and context tool together with price action, market structure, support and resistance, volume conditions and risk management.
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MAIN CONCEPT
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The oscillator reads the market through a normalized flow scale.
The center line represents balance.
Above zero:
Bullish pressure is dominant.
Below zero:
Bearish pressure is dominant.
Near zero:
Market flow is neutral, mixed or indecisive.
The stronger the oscillator moves away from zero, the stronger the directional pressure becomes.
The tool uses layered fills and color transitions to make the state of the market visible at a glance.
Bullish flow is displayed with cyan / green-style visual pressure.
Bearish flow is displayed with pink / red-style visual pressure.
Compression or range conditions can be highlighted with a softer background layer.
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WHAT THE OSCILLATOR SHOWS
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1. Flow Line
The main flow line represents the final combined oscillator value. It blends momentum, money flow, wave movement and compression logic into one reading.
When the flow line rises above zero, bullish pressure is increasing.
When the flow line falls below zero, bearish pressure is increasing.
2. Signal Line
The signal line smooths the main flow reading.
When the flow line crosses above the signal line, bullish momentum may be improving.
When the flow line crosses below the signal line, bearish momentum may be improving.
3. Bullish and Bearish Dots
Bullish dots appear when the flow line crosses above the signal line under valid conditions.
Bearish dots appear when the flow line crosses below the signal line under valid conditions.
These dots are designed as visual confirmation markers, not automatic trade entries.
4. Strong Momentum Zones
The strong levels mark areas where momentum becomes more directional.
Above the positive strong level:
Bullish pressure is considered stronger.
Below the negative strong level:
Bearish pressure is considered stronger.
5. Extreme Zones
The extreme levels show areas where the market may be stretched.
A strong move into the upper extreme zone can show aggressive bullish pressure.
A strong move into the lower extreme zone can show aggressive bearish pressure.
Extreme readings do not automatically mean reversal. In strong trends, extreme conditions can continue longer than expected.
6. Compression / Range Background
The oscillator can highlight compression or range-like conditions.
Compression often means the market is building energy.
Expansion can happen after compression, especially when price breaks structure or a range.
This layer is useful for understanding when the market is quiet, compressed or preparing for a stronger directional move.
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INPUT GUIDE
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Show Oscillator
Enables or disables the main oscillator visual.
When enabled, the flow line, signal line, fills and zones are visible.
When disabled, the oscillator can be hidden without removing the script from the chart.
Show Dots
Enables or disables bullish and bearish confirmation dots.
Use this if you want a cleaner oscillator without signal markers.
Flow Length
Controls the sensitivity of the main flow calculation.
Lower values react faster but may create more noise.
Higher values are smoother but react later.
Beginner suggestion:
Use the default value first. Adjust only after watching how the oscillator behaves on your preferred market and timeframe.
Signal Length
Controls the smoothing of the signal line.
Lower values create faster crosses.
Higher values create slower, cleaner crosses.
Beginner suggestion:
A smoother signal line is usually easier to read when learning the tool.
RMI Length
Controls the RMI-based momentum component.
RMI helps identify directional pressure and momentum shifts. It is useful for detecting when the market starts to build bullish or bearish energy.
MFI Length
Controls the money flow component.
MFI adds a volume-weighted pressure reading to the oscillator. It helps show whether momentum is supported by volume activity.
WaveTrend Length
Controls the wave movement component.
WaveTrend helps create a smoother cyclic reading of market pressure. It can help identify changes in momentum rhythm.
Range / Compression Length
Controls the compression and expansion component.
This part of the oscillator is designed to show when movement is narrow, quiet or compressed compared with normal conditions.
Strong Level
Sets the level used to define strong bullish or bearish flow.
Example:
If the strong level is 50, readings above +50 represent stronger bullish pressure and readings below -50 represent stronger bearish pressure.
Extreme Level
Sets the level used to define extreme bullish or bearish flow.
Example:
If the extreme level is 80, readings above +80 are considered extreme bullish pressure and readings below -80 are considered extreme bearish pressure.
Bull Color
Controls the bullish visual color.
Bear Color
Controls the bearish visual color.
Neutral Color
Controls the neutral or balanced visual color.
Fill Transparency
Controls how visible the oscillator fills are.
Lower transparency makes fills stronger.
Higher transparency makes fills lighter.
Background Compression Highlight
Enables or disables the compression background.
Use this to identify moments where the market may be moving into a quieter range or preparing for a future expansion.
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HOW TO READ THE TOOL
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Basic reading:
Flow above zero:
Bullish pressure has the advantage.
Flow below zero:
Bearish pressure has the advantage.
Flow near zero:
No clear directional advantage.
Flow above signal:
Bullish momentum is improving.
Flow below signal:
Bearish momentum is improving.
Flow above strong level:
Bullish momentum is strong.
Flow below negative strong level:
Bearish momentum is strong.
Flow inside extreme zones:
Market pressure is stretched and should be interpreted carefully.
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BEGINNER TUTORIAL
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Step 1 — Start with the zero line
The first thing to watch is whether the oscillator is above or below zero.
If it stays mostly above zero, the market is showing bullish pressure.
If it stays mostly below zero, the market is showing bearish pressure.
If it keeps crossing zero, the market may be choppy or undecided.
Step 2 — Watch the flow and signal cross
A bullish cross happens when the flow line crosses above the signal line.
A bearish cross happens when the flow line crosses below the signal line.
These crosses are stronger when they happen in the direction of the broader trend.
Step 3 — Check the strong levels
A bullish cross below zero may be early.
A bullish cross above zero is usually cleaner.
A bullish cross followed by movement above the strong level shows stronger momentum.
The same logic applies in reverse for bearish conditions.
Step 4 — Respect the extreme zones
When the oscillator reaches an extreme zone, the market may be stretched.
This can mean two different things:
• strong trend continuation
• potential exhaustion
Do not assume every extreme reading is a reversal. Use price structure and support/resistance for confirmation.
Step 5 — Use compression as context
When compression appears, the market may be losing directional movement or preparing for expansion.
A compression zone followed by a strong flow breakout can be useful context for trend continuation or range breakout analysis.
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EXAMPLE USE CASES
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Example 1 — Bullish confirmation
Price is above a key support area.
The oscillator crosses above the signal line.
Flow moves above zero.
The bullish dot appears.
The flow line continues toward the strong bullish level.
This suggests bullish pressure is improving. A trader may use this as confirmation together with chart structure and risk planning.
Example 2 — Bearish confirmation
Price rejects a resistance area.
The oscillator crosses below the signal line.
Flow moves below zero.
The bearish dot appears.
The flow line continues toward the negative strong level.
This suggests bearish pressure is increasing. A trader may use this as confirmation together with structure and risk planning.
Example 3 — Avoiding weak signals
A bullish dot appears, but the flow line is still below zero.
Price is also under resistance.
The oscillator does not reach the strong bullish level.
This may indicate a weaker bullish attempt. A beginner may choose to wait for stronger confirmation.
Example 4 — Strong trend continuation
The oscillator stays above zero for a long period.
Pullbacks remain above the signal line or quickly recover.
Flow repeatedly returns toward the strong bullish zone.
This can indicate that bullish momentum remains active. In this situation, bearish crosses may be temporary pullbacks rather than full reversals.
Example 5 — Range or compression behavior
The oscillator stays near zero.
Bullish and bearish crosses appear frequently.
Compression background is visible.
Price is moving sideways.
This can indicate a range or low-direction environment. In this situation, signals may be less reliable unless price breaks out with confirmation.
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SUGGESTED BEGINNER SETTINGS
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For cleaner signals:
Use longer lengths.
Use a smoother signal line.
Keep dots enabled.
Watch only crosses that happen near or beyond the zero line.
For faster signals:
Use shorter lengths.
Use a faster signal line.
Expect more noise and more false moves.
For trend confirmation:
Focus on whether the oscillator remains above or below zero.
Use strong levels to confirm momentum expansion.
For range detection:
Watch the compression background and repeated crosses around zero.
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HOW TO COMBINE WITH OTHER TOOLS
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This oscillator works best as a confirmation tool.
Possible combinations:
1. Price action
Use the oscillator to confirm breakouts, pullbacks and reversals.
2. Support and resistance
Bullish signals are more meaningful near support.
Bearish signals are more meaningful near resistance.
3. Trend indicators
Use the oscillator to confirm trend strength and avoid entering against strong momentum.
4. Volume analysis
The MFI component helps include money flow pressure, but additional volume tools may still provide useful context.
5. Risk management
Always define stop loss, invalidation level and target logic before entering a trade.
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ALERTS
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The oscillator can be used with alert conditions such as:
Bullish dot
Bearish dot
Strong bullish flow
Strong bearish flow
Extreme bullish flow
Extreme bearish flow
Suggested alert workflow:
1. Add the oscillator to the chart.
2. Open the TradingView alert window.
3. Select the oscillator as the alert source.
4. Choose the condition you want to monitor.
5. Use alerts as notifications, not as automatic trading decisions.
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IMPORTANT NOTES
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This script is an analytical oscillator. It is not a complete trading system.
It does not guarantee entries, exits or profitable results.
Market conditions can change quickly. Trend, volatility, liquidity, news and session behavior can affect all oscillator readings.
The tool should be tested on each market and timeframe before being used in live trading decisions.
Past signals do not guarantee future results.
Use proper risk management at all times. Indicador
Alpha Relative Strength & Performance [Pineify]Alpha Relative Strength & Performance
The Alpha Relative Strength & Performance (Alpha RSP) indicator is a dual-metric relative strength analysis tool that measures both an asset's outperformance ratio and its momentum trajectory against a user-defined benchmark — providing a complete, four-quadrant classification of relative strength state. Inspired by the Relative Rotation Graph (RRG) methodology developed by Julius de Kempenaer, Alpha RSP distills the two-dimensional RRG framework into a single-pane oscillator that traders can apply to any asset and any benchmark. Instead of simply comparing price returns, the indicator computes a double-smoothed RS Ratio (where the asset sits relative to its own trend of outperformance) and an RS Momentum reading (whether that outperformance is accelerating or decelerating). Together, these two metrics classify the asset into one of four states — Strong, Improving, Weakening, or Weak — with color-coded plotting, area fills, crossover signals, and a real-time dashboard table. This gives traders an objective, quantitative framework for sector rotation, pair trading, and relative performance timing.
Key Features
Double-smoothed RS Ratio oscillator — uses two layers of Weighted Moving Average (WMA) smoothing on the raw price ratio to produce a stable, noise-resistant measure of relative outperformance centered around the 100 equilibrium line.
RS Momentum (second derivative) — calculates the rate of change of the RS Ratio itself, revealing whether outperformance is accelerating or decelerating before the RS Ratio line visually turns.
Four-quadrant state classification — categorizes the asset into Strong (Leading), Improving, Weakening, or Weak (Lagging) based on the combination of RS Ratio and RS Momentum relative to 100, mirroring the proven RRG quadrant system.
Momentum-confirmed crossover signals — bullish entry signals require the RS Ratio to cross above 100 with pre-confirmed positive momentum; bearish exit signals require a cross below 100 with pre-confirmed negative momentum, filtering out low-conviction transitions.
Net Performance delta — independently calculates bar-by-bar alpha (asset return minus benchmark return) as a supplementary metric displayed in the info table.
Real-time dashboard table — a four-row info panel displays the current quadrant state, RS Ratio value, RS Momentum value, and net performance percentage, all color-coded for instant visual assessment.
Flexible benchmark selection — compare against any symbol available on TradingView (SPY, QQQ, BTCUSD, sector ETFs, etc.), making the indicator applicable to equities, crypto, forex, and commodities.
Built-in alert conditions — four configurable alerts cover bullish entries, bearish exits, and sustained strong/weak state detection for hands-free monitoring.
How It Works
The indicator follows a multi-stage calculation pipeline that transforms a raw price ratio into a classified relative strength state:
Benchmark data sourcing: The benchmark's closing price is fetched using request.security() with a one-bar lookback and lookahead enabled. This ensures only confirmed (already closed) benchmark data is used, preventing repainting. A validity check guards against missing data, falling back to neutral values (1.0 for ratios, 100 for normalized metrics) when the benchmark is unavailable.
Relative Strength (RS) calculation: The raw RS is computed as Asset Close / Benchmark Close. A rising RS means the asset is gaining value faster (or losing value slower) than the benchmark. This raw ratio is then smoothed with a Weighted Moving Average (WMA) of configurable length to establish the asset's trend of relative performance.
RS Ratio normalization: The RS Ratio measures where the current RS sits relative to its own WMA trend: RS_Ratio = WMA(RS / WMA_RS) × 100. Values above 100 indicate the asset is outperforming its own recent relative trend (leading); values below 100 indicate underperformance (lagging). The double WMA smoothing — first on the raw RS, then on the ratio — significantly reduces noise while preserving responsiveness.
RS Momentum derivation: RS Momentum is the rate of change of the RS Ratio: RS_Mom = RS_Ratio / WMA(RS_Ratio) × 100. This "second derivative" of relative strength reveals whether the RS Ratio is accelerating (above 100) or decelerating (below 100). Momentum turns often precede RS Ratio turns, providing an early warning of quadrant transitions.
State classification and signal generation: The combination of RS Ratio and RS Momentum relative to the 100 baseline classifies the asset into one of four quadrants. Crossover signals are generated when the RS Ratio crosses the 100 line with momentum confirmation from the previous bar, ensuring entries and exits occur only during high-conviction quadrant transitions.
Trading Ideas and Insights
Sector rotation timing: Apply Alpha RSP to sector ETFs (XLK, XLF, XLE, etc.) against SPY as the benchmark. Assets in the Strong quadrant (green) are the current market leaders — favor long positions in these sectors. Assets in the Weak quadrant (red) are lagging — avoid or consider short positions. The quadrant rotation (Strong → Weakening → Weak → Improving → Strong) follows a predictable clockwise pattern that can be used to anticipate sector leadership changes.
Pair trading confirmation: When comparing two correlated assets, use Alpha RSP on one asset with the other as the benchmark. A sustained Strong state suggests going long the asset and short the benchmark; a sustained Weak state suggests the reverse. The crossover signals provide specific entry and exit timing for the pair trade.
Momentum-based entries: The bullish entry signal (green circle) fires when the RS Ratio crosses above 100 with positive momentum — this is the moment the asset transitions into the Strong quadrant. Historically, assets entering the Strong quadrant tend to continue outperforming for multiple bars, making this a high-probability entry point for relative outperformance trades.
Early warning via momentum divergence: Monitor the RS Momentum independently. When an asset is in the Strong quadrant but RS Momentum drops below 100, it transitions to Weakening (yellow) — outperformance is decelerating even though the asset still leads. This early warning allows traders to tighten stops or reduce position size before the RS Ratio itself crosses below 100.
Benchmark-relative alpha tracking: The Net Performance row in the info table shows the bar-by-bar return difference between the asset and benchmark. Use this to monitor whether your holdings are generating positive alpha on each bar, independent of the smoothed RS calculations.
How Multiple Indicators Work Together
Alpha RSP integrates several analytical components into a unified relative strength assessment system, each serving a distinct purpose:
Weighted Moving Average smoothing (trend extraction): WMA is applied twice in the calculation chain — first to smooth the raw RS ratio, then to normalize the RS Ratio and compute RS Momentum. WMA was chosen over SMA or EMA because its linear weighting scheme provides a good balance between responsiveness and smoothness. The double application creates a cascading filter that removes short-term noise while preserving the medium-term trend of relative performance.
RS Ratio (position measurement): The RS Ratio answers the question "is the asset currently outperforming or underperforming its own recent relative trend?" By normalizing the raw RS against its WMA, the indicator creates a mean-reverting oscillator centered at 100 that is comparable across different assets and timeframes — regardless of the absolute price levels of the asset and benchmark.
RS Momentum (direction measurement): The RS Momentum answers the question "is the relative outperformance getting better or worse?" This second derivative adds the critical directional dimension that the RS Ratio alone cannot provide. An asset can be above 100 (leading) but with momentum below 100 (weakening) — meaning it still outperforms but is losing its edge. This distinction is what enables the four-quadrant classification.
Crossover signals with momentum confirmation (timing mechanism): Raw crossovers of the RS Ratio above/below 100 would generate signals at every quadrant boundary. By requiring momentum confirmation from the previous bar, the signal filter ensures that only transitions into the Strong quadrant (bullish) or Weak quadrant (bearish) generate signals — skipping the ambiguous transitions into Improving or Weakening states.
The synergy is hierarchical: raw price ratio → WMA-smoothed trend → normalized RS Ratio (position) → RS Momentum (direction) → four-quadrant classification → momentum-confirmed crossover signals. Each layer adds a dimension of analysis, and the final signals require alignment across all layers — the asset must cross the outperformance threshold AND have confirmed momentum direction to trigger.
Unique Aspects
RRG methodology in a single pane: Traditional Relative Rotation Graphs require a two-dimensional scatter plot with RS Ratio on the x-axis and RS Momentum on the y-axis. Alpha RSP condenses this into a standard oscillator pane by plotting the RS Ratio as the primary line and encoding the momentum dimension through color (four-quadrant coloring). This makes the RRG framework accessible within TradingView's standard indicator layout without losing the quadrant classification.
Double WMA smoothing architecture: Most relative strength indicators use a single smoothing pass (e.g., SMA or EMA of the price ratio). Alpha RSP's double WMA approach — smoothing the raw RS, then smoothing the normalized ratio — creates a more stable oscillator that filters out short-term noise while remaining responsive to genuine trend changes in relative performance.
Non-repainting benchmark data: The indicator fetches benchmark data with a one-bar offset (close ) and lookahead enabled, ensuring that only confirmed historical data is used. This prevents the common repainting issue where indicators using request.security() produce different historical signals depending on when they are loaded.
Momentum-confirmed signals: Unlike simple ratio crossover systems, Alpha RSP requires the previous bar's momentum to confirm the direction of the crossover. This dual-condition filter significantly reduces false signals during choppy, mean-reverting relative performance periods where the RS Ratio oscillates around 100 without establishing a clear trend.
How to Use
Add the indicator to your chart. It appears in a separate pane below the price chart, displaying the RS Ratio line, a dashed equilibrium baseline at 100, and a color-coded area fill.
Set the Benchmark Symbol to the index or asset you want to compare against. Use SPY for broad US equity comparison, QQQ for tech-weighted comparison, BTCUSD for crypto relative analysis, or any other symbol relevant to your trading universe.
Adjust the Calculation Window based on your trading timeframe. The default of 14 works well for daily charts. Use shorter values (7–10) for intraday or short-term swing trading; use longer values (21–50) for position trading or weekly charts.
Monitor the line color for the current quadrant state: green = Strong (outperforming with rising momentum), blue = Improving (underperforming but momentum turning positive), yellow = Weakening (outperforming but momentum fading), red = Weak (underperforming with falling momentum).
Watch for green circle signals — these mark Bullish Entry points where the RS Ratio crosses above 100 with confirmed positive momentum, indicating the asset is entering the Strong quadrant. Consider initiating or adding to long positions relative to the benchmark.
Watch for red circle signals — these mark Bearish Exit points where the RS Ratio crosses below 100 with confirmed negative momentum, indicating the asset is entering the Weak quadrant. Consider reducing exposure or exiting positions.
Check the info table in the bottom-right corner for a real-time summary of the current state, RS Ratio, RS Momentum, and net performance values.
Set up alerts using the four built-in alert conditions to receive notifications for bullish entries, bearish exits, or sustained strong/weak states without watching the chart.
Customization
Benchmark Symbol (default: SPY): The reference asset for relative strength comparison. Choose a benchmark that represents the market or sector you want to measure outperformance against. For equity traders, SPY or a sector ETF is typical. For crypto traders, BTCUSD provides a relative strength reading against the dominant cryptocurrency.
Calculation Window (default: 14): Controls the WMA smoothing period for both the RS Ratio and RS Momentum calculations. Lower values (7–10) produce a more volatile, responsive oscillator that captures short-term relative strength shifts — suitable for active trading. Higher values (21–50) produce a smoother oscillator that focuses on medium-term relative trends — suitable for position trading and sector rotation strategies.
Quadrant Colors: All four quadrant colors are fully customizable. The default scheme (green/blue/yellow/red) follows the standard RRG color convention, but you can adjust these to match your chart theme or personal preference. Colors are applied to the RS Ratio line, area fill, signal markers, and info table simultaneously.
Conclusion
The Alpha Relative Strength & Performance indicator brings the proven Relative Rotation Graph methodology into a streamlined, single-pane oscillator format. By computing both an RS Ratio (where the asset stands relative to its benchmark trend) and an RS Momentum (whether that standing is improving or deteriorating), it provides a complete four-quadrant classification of relative strength that goes far beyond simple price ratio comparison. The double WMA smoothing architecture delivers clean, noise-resistant readings, while momentum-confirmed crossover signals filter out low-conviction transitions. Whether you are timing sector rotations, managing pair trades, or simply tracking whether your holdings are generating alpha relative to a benchmark, Alpha RSP provides an objective, quantitative framework for relative performance analysis across any market and timeframe.
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FluidFlow OscillatorFluidFlow Oscillator: Study Material for Traders
Overview
The FluidFlow Oscillator is a custom technical indicator designed to measure price momentum and market flow dynamics by simulating fluid motion concepts such as velocity, viscosity, and turbulence. It helps traders identify potential buy and sell signals along with trend strength, momentum direction, and volatility conditions.
This study explains the underlying calculation concepts, signal logic, visual cues, and how to interpret the professional dashboard table that summarizes key indicator readings.
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How the FluidFlow Oscillator Works
Core Mechanisms
1. Price Flow Velocity
o Measures the rate of change of price over a specified flow length (default 40 bars).
o Calculated as a percentage change of closing price: roc=close−closelen_flowcloselen_flow×100\text{roc} = \frac{\text{close} - \text{close}_{len\_flow}}{\text{close}_{len\_flow}} \times 100roc=closelen_flowclose−closelen_flow×100
o Smoothed by an EMA (Exponential Moving Average) to reduce noise, generating a "flow velocity" value.
2. Viscosity Factor
o Analogous to fluid viscosity, it adjusts the flow velocity based on recent price volatility.
o Volatility is computed as the standard deviation of close prices over the flow length.
o The viscosity acts as a damping factor to slow down the flow velocity in highly volatile conditions.
o This results in a "flow with viscosity" value, that smooths out the velocity considering market turbulence.
3. Turbulence Burst
o Captures sudden changes or bursts in the flow by measuring changes between successive viscosity-adjusted flows.
o The turbulence value is a smoothed absolute change in flow.
o A burst boost factor is added to the oscillator to incorporate this rapid change component, amplifying signals during sudden shifts.
4. Oscillator Calculation
o The raw oscillator value is the sum of flow with viscosity plus burst boost, scaled by 10.
o Clamped between -100 and +100 to limit extremes.
o Finally, smoothed again by EMA for cleaner visualization.
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Signal Logic
The oscillator works with complementary components to produce actionable signals:
• Signal Line: An EMA-smoothed version of the oscillator for generating crossover-based signals.
• Momentum: The rate of change of the oscillator itself, smoothed by EMA.
• Trend: Uses fast (21-period EMA) and slow (50-period EMA) moving averages of price to identify market trend direction (uptrend, downtrend, or sideways).
Signal Conditions
• Bullish Signal (Buy): Oscillator crosses above the oversold threshold with positive momentum.
• Bearish Signal (Sell): Oscillator crosses below the overbought threshold with negative momentum.
Statuses
The oscillator provides descriptive market states based on level and momentum:
• Overbought
• Oversold
• Buy Signal
• Sell Signal
• Bullish / Bearish (momentum-driven)
• Neutral (no clear trend)
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Color System and Visualization
The oscillator uses a sophisticated HSV color model adapting hues according to:
• Oscillator value magnitude and sign (positive or negative)
• Acceleration of oscillator changes
• Smooth color gradients to facilitate intuitive understanding of trend strength and momentum shifts
Background colors highlight overbought (red tint) and oversold (green tint) zones with transparency.
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How to Understand the Professional Dashboard Table
The FluidFlow Oscillator offers an integrated table at the bottom center of the chart. This dashboard summarizes critical indicator readings in 8 columns across 3 rows:
Column Description
SIGNAL Current signal status (e.g., Buy, Sell, Overbought) with color coding
OSCILLATOR Current oscillator value (-100 to +100) with color reflecting intensity and direction
MOMENTUM Momentum bias indicating strength/direction of oscillator changes (Strong Up, Up, Sideways, Down, Strong Down)
TREND Current trend status based on EMAs (Strong Uptrend, Uptrend, Sideways, Downtrend, Strong Downtrend)
VOLATILITY Volatility percentage relative to average, indicating market activity level
FLOW Flow velocity value describing price momentum magnitude and direction
TURBULENCE Turbulence level indicating sudden bursts or spikes in price movement
PROGRESS Oscillator's position mapped as a percentage (0% to 100%) showing proximity to extreme levels
Rows Explained
• Row 1 (Header): Labels for each metric.
• Row 2 (Values): Current numerical or descriptive values color-coded along a professional scheme:
o Green or lime tones indicate positive or bullish conditions.
o Red or orange tones indicate caution, sell signals, or bearish conditions.
o Blue tones indicate neutral or stable conditions.
• Row 3 (Status Indicators): Emoji-like icons and bars provide a quick visual gauge of each metric's intensity or signal strength:
o For example, "🟢🟢🟢" suggests very strong bullish momentum, while "🔴🔴🔴" suggests strong bearish momentum.
o Progress bar visually demonstrates oscillator movement toward oversold or overbought extremes.
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Practical Interpretation Tips
• A Buy signal with green colors and strong momentum usually precedes upward price moves.
• An Overbought status with red background and red table colors warns of potential price corrections or reversals.
• Watch the Turbulence to gauge market instability; spikes may precede price shocks or volatility bursts.
• Confirm signals with the Trend and Momentum columns to avoid false entries.
• Use the Progress bar to anticipate oscillations approaching key threshold levels for timing trades.
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Alerts
The oscillator supports alerts for:
• Buy and sell signals based on oscillator crossovers.
• Overbought and oversold levels reached.
These help traders automate awareness of important market conditions.
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Disclaimer
The FluidFlow Oscillator and its signals are for educational and informational purposes only. They do not guarantee profits and should not be considered as financial advice. Always conduct your own research and use proper risk management when trading. Past performance is not indicative of future results.
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This detailed explanation should help you understand the workings of the FluidFlow Oscillator, its components, signal logic, and how to analyze its professional dashboard for informed trading decisions.
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Divergence Detector [TradingFinder] RSI + MACD + AO Oscillator 🔵 Introduction
🟣 Understanding Divergence
As mentioned, divergence occurs in technical analysis when a stock's price behaves contrary to indicators on the price chart. Divergence can signify either a reversal of the stock's trend or a continuation of the previous trend correction.
Divergences can act as reversal patterns or continuation patterns. Moreover, divergences can be utilized to identify potential support and resistance levels.
For instance, when an indicator is trending upwards and positive, but the price is declining and trending downwards, divergence occurs. Divergence in a stock indicates trader indecision in buying and selling and warns traders to reconsider their decisions regarding buying or holding the stock.
Divergence aids analysts in identifying critical price points. In indicator divergences, it serves as a potent signal in the realm of technical analysis.
🟣 Types of Divergence
1.Regular Divergence
o Positive Regular Divergence (RD+)
o Negative Regular Divergence (RD-)
2.Hidden Divergence
o Positive Hidden Divergence (HD+)
o Negative Hidden Divergence (HD-)
3.Time Divergence
Key Note : This indicator is specifically designed to identify "Regular Divergence" only. Therefore, the following explanation pertains to this type of divergence.
🔵 Regular Divergence/Convergence
Regular Divergence(Convergence) occurs due to conflicting behavior between the indicator and the price chart, typically at the end of a trend. Recognizing Regular Divergence suggests an anticipation of a trend reversal or a pattern resembling a reversal.
🟣 Positive Regular Divergence (RD+)
In contrast to negative divergence, positive Regular Divergence occurs at the end of a downtrend and between two price lows. It manifests when the price forms a new low on the price chart, but the indicator fails to recognize it.
Positive Regular Divergence indicates strong buying pressure and weak selling pressure. Following the identification of positive divergence on the chart, one can anticipate a price increase for the examined stock.
🟣 Negative Regular Divergence (RD-)
This type of Regular Divergence emerges between two price highs during an uptrend. A new high is formed on the price chart, but the indicator fails to acknowledge it. This scenario indicates negative Regular Divergence.
The likelihood of a subsequent market downturn is high. Negative divergence signifies strong selling pressure and weak buying pressure, suggesting an unfavorable future for the stock.
🔵 How to use
By utilizing the "Fractal Period" input, you can specify your desired periods for identifying divergences.
Additionally, through the "Divergence Detect Method" feature, you can choose which oscillators (MACD, RSI, or AO) to base divergence identification on.
Divergence in MACD Oscillator :
Divergence in the MACD indicator occurs when the price chart and the MACD line form a noticeable opposing pattern, meaning the price moves contrary to the MACD line. In this scenario, one expects a reversal in price direction.
Divergence in RSI Oscillator :
If divergence occurs during a downtrend on the price chart (two consecutive lows, with the second low being lower) and on the corresponding RSI point (two consecutive lows, with the second low being higher), it signifies positive Regular Divergence and implies a buying signal.
Conversely, if divergence occurs during an uptrend on the price chart (two consecutive highs, with the second high being higher) and on the corresponding RSI point (two consecutive highs, with the second high being lower), it indicates negative Regular Divergence, signaling a selling opportunity.
Divergence in AO Oscillator :
The AO indicator calculates histograms similar to the AO base. It calculates the difference between the simple moving averages of 5 and 34 periods based on the median of each bar. Then, it plots the bars based on the difference.
It then compares the histograms to detect peaks and troughs in the AO histograms and compares the identified peaks and troughs to the price. Whenever divergence is detected, it plots lines and arrows.
🔵 Table
The table contains information on the functional features of this oscillator that you can utilize. Four categories of information are presented in the table: "Exist," "Consecutive," "Divergence Quality," and "Change Phase Indicator."
Exist :
If divergence exists, you'll see "+" in this row.
Consecutive :
Divergences may occur consecutively. If same-type divergences form within short intervals, you can observe the count in this row.
Divergence Quality : Based on the number of consecutive divergences, their quality can be evaluated. If one divergence exists, its quality is considered "Normal." If two divergences exist, the quality is "Good," and if three or more divergences exist, the quality is considered "Strong."
Change Phase Indicator : If a phase change occurs between two oscillation peaks formed based on divergence, this change is identified and displayed in this row.
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