Average Volume Corner BoxAn indicator that anchors a single info box to the chart’s top right corner. It compares the current volume to a selectable moving average (SMA, EMA, WMA) and displays a status (VOL > AVG or VOL < AVG), the current volume, the average volume, and percent difference. The color switches between red and green backgrounds so you can read volume at a glance without cluttering the chart with those stinky volume rectangles.
Features
• Fixed corner box anchored to the chart top right
• Choose MA type: SMA, EMA, WMA
• Selectable MA length
• Optional percent difference display
• Threshold multiplier to only flag meaningful spikes (e.g., vol > avg * 1.5)
• Configurable colors and font size
Overlay
Smart Divergence Engine Overlay [ChartNation]What this does
This overlay projects the Smart Divergence Engine’s confirmed RSI divergences directly on the price chart. It draws compact lines between swing points and optional BUY/SELL labels anchored to the exact pivot candles, so the signals stick to the candles when you zoom or pan.
It uses the same internal engine as the panel version (smoothed RSI + stdev bands + pivot logic) but renders the result where most traders act—on price.
How it works
RSI engine. RSI is lightly smoothed, then a 34-period SMA with stdev bands frames regime/volatility context.
Pivot confirmation. Swings are defined by Pivot Left/Right. On the bar where a pivot confirms (after Pivot Right bars), the script compares price vs RSI at that pivot bar (rsi ).
Bullish divergence: price lower low, RSI higher low.
Bearish divergence: price higher high, RSI lower high.
Overlay rendering. Lines are created between the two most recent confirmed pivots using bar indices, so drawings remain perfectly anchored to the candles.
Why this is useful
You get structure-true divergences (only after a swing is confirmed), drawn on price for immediate confluence with S/R, patterns, and candle context—no guesswork mapping from an oscillator pane.
Inputs (key)
Price Source, RSI Length (14)
Band Length (34), Band Multiplier (1.618)
Overbought / Oversold (68/32) – for internal offsets
Pivot Left / Right (10/10) – swing definition and confirmation delay
Show lines / Show labels, Line width, Bull/Bear colors
Visuals
Lines connecting the two pivots that form the divergence.
Optional BUY/SELL labels placed at the confirming pivot candle.
Alerts
Use these for automation or notifications:
Bullish Divergence (Overlay)
Bearish Divergence (Overlay)
How to use (practical)
Treat each printed divergence as context, then align with price action: break/retest, key levels, higher-timeframe bias.
In strong trends, counter-trend divergences are weaker—wait for structure shifts (e.g., HH/HL after a bull div, LH/LL after a bear div).
Notes & limitations
Signals appear after Pivot Right bars—this ties them to confirmed structure and prevents historical updating.
This is a price overlay only. If you want band/RSI context, pair it with the panel.
Axel AltsOverview
Axel Alts is a higher-timeframe-aware overlay that forms a two-line support band for altcoins using a sticky, threshold-and-step progression. It draws an Upper Support (mid) and a Lower Support (low) derived from evolving local lows, with smoothed transitions and an optional halving-cycle bear-window background.
The goal is disciplined context: identify controlled pullbacks into support in constructive regimes and avoid emotional chasing. All core settings are fixed for consistent behavior across symbols.
Core logic (concepts, not implementation)
• Two baseline levels are computed as fractional distances from the current base and then smoothed.
• A sticky mechanism advances each line toward its target only when deviation is material, and in capped steps. This reduces whipsaw and preserves structure.
• Visual easing smooths transitions so curves remain stable and readable.
• Rendering accounts for higher-timeframe structure and uses interpolation on lower timeframes for visual continuity; values do not look ahead and finalize on higher-timeframe closes.
• An optional bear-window background is derived from halving dates to flag a more cautious phase between the late part of one cycle and the run-up to the next.
Inputs
• Parameters are locked (lengths, fractions, sticky thresholds/steps, easing radii, bear-window bounds). No user-tweakable inputs—this prevents overfitting and improves repeatability.
How to read it
• The zone between Upper Support and Lower Support is the preferred “controlled pullback” area in constructive regimes.
• Persistent closes above Upper Support indicate strength; orderly reactions into the band can be constructive.
• Sustained closes below Lower Support warn of deterioration; be cautious with aggressive longs until recovery.
• The bear-window background suggests a more conservative stance on risk and size.
• Confirmations are best taken on daily/weekly closes; short-term pokes through the band are often noise.
Practical use cases
• Altcoin rotation: prioritize names holding the band; de-prioritize those persisting below it.
• Dollar-Cost Averaging (DCA) context: scale within the band during favorable regimes.
• Risk framing: tighten or reduce exposure on breaks below Lower Support or during the bear window.
• Confluence: combine with volume/volatility tools and market-wide risk gauges.
Best practices
• Rely on daily/weekly closes for confirmation.
• Pair with market structure (HH/HL vs. LH/LL) and higher-timeframe support/resistance.
• Consider broader cycle context (e.g., halving windows) before scaling risk.
Technical notes
• Non-repainting: values finalize on the close of the higher timeframe used by each calculation.
• Interpolation on lower timeframes is for continuity only; it is not forward-looking.
• Bear-window boundaries are fixed and derived from publicly known Bitcoin halving dates.
• The fill between lines is fixed in the current configuration.
Who it is for
• Traders who want a fixed-rules, repeatable context for alt pullbacks and trend health.
• Systematic users who prefer deterministic, non-tunable overlays for portfolio discipline.
Limitations & disclosures
• Closed-source; for educational and analytical use only.
• Not financial advice. Markets involve risk; past performance does not guarantee future results.
Release notes
• Includes sticky progression for both support lines with eased transitions.
• Improved visual continuity on lower timeframes while respecting higher-timeframe structure.
• Added halving-based bear-window highlighting (bounds are fixed).
Originality & why closed-source
This is not a reimplementation of public open-source scripts. Axel Alts integrates (1) sticky threshold-and-step progression, (2) dual support lines built from fractional levels off evolving lows with separate smoothing, (3) visual easing for stability, and (4) a halving-based bear window. The interaction of thresholds/steps, smoothing, and the regime window is proprietary and tuned to retain structure while limiting lag. The source is closed to protect this implementation.
Integration, not a mashup
Axel Alts is a single, self-contained framework. It does not merely merge indicators; its components are designed to work together to form a unified support band with a clear reading protocol (hold within the band, caution below, close-based confirmations, optional bear-window context).
Indicator, not a strategy
This publication is an indicator overlay, not a trading strategy. It includes no backtests, position logic, performance claims, or risk assumptions. Use it as analytical context within your own risk management.
Comparison to common tools
Compared to standard moving-average channels or volatility bands, Axel Alts emphasizes (1) structure retention via sticky thresholds/steps, (2) smoother visuals through eased transitions, and (3) explicit cycle context via the halving-based bear window.
Trap LineOverview
Trap Line is a higher-timeframe trend framework designed to define market regimes using smoothed weekly (1W) and three-week (3W) baselines. Price trading above the line reflects a bullish regime; price below the line reflects a bearish one. The goal is regime discipline—stay aligned with the dominant higher-timeframe direction and avoid late, emotional entries. All parameters are fixed to ensure consistent behavior across symbols.
Core logic (concepts, not full code)
• Computes a Hull-type moving average on 1W and 3W closes (with optional linear-regression pre-filtering) and projects them onto lower timeframes via interpolation.
• Produces a smooth, lag-reduced structural baseline that tracks the weekly trend path.
• Observing price vs. the baseline highlights potential trap zones—temporary breaches that often fail without a confirmed weekly close.
• The 3-Week Trap Line adds a macro confirmation layer and is hidden by default in the Style tab to keep charts clean.
Inputs
• Parameters (length, smoothing type, regression toggle, interpolation mode) are fixed to prevent overfitting and preserve repeatability.
How to read it
• Above the line => bullish regime.
• Below the line => bearish regime.
• A confirmed weekly close through the line suggests a regime transition.
• A weekly close above the line with a green candle supports bullish continuation; a weekly close below the line with a red candle supports bearish continuation.
• Intraweek deviations near the line are often noise and may fade.
Practical use cases
• Weekly bias filter for swing/position frameworks.
• Regime confirmation across related assets or sectors.
• Portfolio overlay: favor long exposure in bullish regimes; reduce risk in bearish regimes.
• Combine with volume or ATR-based tools to assess trend quality.
Best practices
• Wait for the weekly close before declaring regime flips.
• Avoid overreacting to intraweek moves around the baseline.
• Combine with structure analysis (HH/HL vs. LH/LL) and higher-timeframe S/R.
• Use standard time-based candles; avoid interpreting signals on Heikin Ashi, Renko, Kagi, Point & Figure, or Range charts.
Technical notes
• Built on locked higher-timeframe data (1W and 3W).
• Interpolation is used to render HTF structure smoothly on lower charts.
• Non-repainting : values finalize when the higher timeframe closes; lower-TF plotting is interpolated, not forward-looking.
Who it is for
• Traders who want a consistent, rules-based higher-timeframe bias filter.
• Systematic users who prefer fixed-parameter baselines for regime context.
Limitations & disclosures
• Closed-source; educational and analytical use only.
• Not financial advice. Markets involve risk; past performance does not guarantee future results.
Release notes
• Includes the 3-Week Trap Line (3W). It is hidden by default in the Style tab; enable it if you want an additional macro confirmation layer.
• Fixed-parameter design (no user-tweakable inputs) for consistent behavior across symbols.
• Non-repainting values finalize on 1W/3W candle close.
Originality & why closed-source
This is not a reimplementation of public open-source scripts. Trap Line uses a specific combination of higher-timeframe Hull smoothing, optional linear-regression pre-filtering, and lower-timeframe interpolation designed to expose trap zones (temporary regime breaches that often fail without a confirmed weekly close). The integration and thresholds are proprietary and tuned to retain weekly structure with reduced lag. The source is closed to protect this implementation.
Integration, not a mashup
Trap Line is a single, self-contained framework. It does not merely merge other indicators; its components are integrated to produce a unified higher-timeframe baseline (1W/3W) with a defined reading protocol (above/below line, weekly-close confirmation, optional candle-color confirmation).
Indicator, not a strategy
This publication provides an indicator overlay , not a trading strategy. It includes no backtests, position logic, performance claims, or risk assumptions. Use it as an analytical bias filter within your own risk management.
Comparison to common tools
Compared to standard MAs or SuperTrend-style bands, Trap Line prioritizes (1) higher-timeframe structure fidelity, (2) reduced lag via HMA-type smoothing, and (3) explicit weekly-close confirmation to avoid premature regime flips. The optional 3-Week line acts as a macro confirmation layer and is hidden by default in the Style tab.
1W Overlay (triss)Overlay of the Weekly candle, simple one color with a line inside the candle to show direction.
1D Overlay (triss)Overlay of the Daily candle, simple one color with a line inside the candle to show direction.
4H Overlay (triss)Overlay of the 4 Hour candle, simple one color with a line inside the candle to show direction.
Trend Heat Meter by JaeheePurpose
A compact, overlay gauge that shows where the current close sits within the last 50 bars’ high-low range. It converts price position into a 0–100% “heat” scale and renders a vertical gradient from Frozen (low end) to Overheated (high end).
How it works
• Looks back 50 bars to get highest(high, 50) and lowest(low, 50).
• Normalizes the current close into a percentile: (close − low) / (high − low) * 100.
• Draws a vertical cold→hot bar at the right side of the chart, with a pointer and a fixed-width percentage readout (two decimals) to avoid jitter.
• Labels the extremes as Overheated (top) and Frozen (bottom).
• The script is an overlay and does not modify candles or generate orders.
What makes it different
• Pure position metric: No EMA smoothing or oscillation math. It’s a direct percentile of price inside a rolling range, so interpretation is immediate.
• Jitter-free readout: Fixed-width numeric formatting keeps the value visually stable as price ticks.
• High signal legibility: A single, color-coded “thermometer” avoids multi-plot clutter and works well on any chart style.
• Non-repainting logic: Uses only in-bar values and a rolling 50-bar window; no future bars are referenced.
Inputs
• Use Black Text (White→Black): Switches label/pointer text from white to black for dark or light chart themes.
(Length and visual rows are internally set to 50 and 21 for a consistent footprint.)
Practical use
Trend context
• >70% = price is trading near the upper segment of its recent range → bullish pressure / “hot.”
• <30% = price is trading near the lower segment of its recent range → bearish pressure / “cold.”
Confluence
• Combine with your entry method (structure breaks, OB/FVG, KZ sessions, etc.).
– Prefer long setups when the meter stays >50% and rising.
– Prefer short setups when the meter stays <50% and falling.
Risk management
• Treat extreme reads (>85% or <15%) as potential exhaustion zones inside ranges; wait for confirmation before fading.
Timeframes & markets
• Works on any timeframe and symbol. Large-cap, liquid instruments typically provide the cleanest read.
Notes and limitations
• The meter shows relative position, not momentum or volatility. Pair it with your preferred filters for full trade qualification.
• It does not produce buy/sell signals, alerts, or TP/SL levels.
• Visual table draws only on the last bar for efficiency.
Compatibility
• Pine Script® v6
• Overlay: true
Disclaimer
This script is for educational purposes only and is not financial advice. Trading involves risk. Test on a demo and use proper risk management.
BTC Lead(v3.32)Summary
A 15-minute, BTC-focused lead/divergence indicator designed for simple execution: when a ▲/▼ appears, start scaling in with small clips; when a ■ (black square) prints, it means the indicator’s edge has weakened (not that the market trend is over). Real-time expected move label and alert templates included. Do not fade the signal—if you must try the opposite side, wait until a ■ appears.
How to read the signals
▲ Green → Long bias increased
▼ Pink → Short bias increased
■ Black → Edge weakened; consider taking profits/standing aside
Multiple level markers on the same bar (L2/L3/L4) = stronger setup
Live label (top of chart)
A single line shows the Expected Move (%) with arrow and color-coded background (↑ green / ↓ pink) for instant direction clarity.
Tip: Use Replay to watch label → ▲/▼ → ■ sequences on past data.
Confidence filter (important)
|Expected Move| < 1% → treat as noise / ignore
If considering the opposite direction, wait for a ■ first (edge reduced).
Scope
Internal calculations are fixed to 15-minute resolution.
Built for BTC 15m. It may display on other crypto symbols/timeframes, but performance is not guaranteed.
Alerts
Ready-made conditions: ENTRY LONG / ENTRY SHORT / EXIT LONG / EXIT SHORT. Add an alert on this indicator and choose the condition you want.
Risk note
For research/education only. Past behavior doesn’t guarantee future results. Predefine position sizing, stops, and profit-taking, and execute consistently.
BTC Lead(v3.31)Summary
A 15-minute, BTC-focused lead/divergence indicator designed for simple execution: when a ▲/▼ appears, start scaling in with small clips; when a ■ (black square) prints, it means the indicator’s edge has weakened (not that the market trend is over). Real-time expected move label and alert templates included. Do not fade the signal—if you must try the opposite side, wait until a ■ appears.
How to read the signals
▲ Green → Long bias increased
▼ Pink → Short bias increased
■ Black → Edge weakened; consider taking profits/standing aside
Multiple level markers on the same bar (L2/L3/L4) = stronger setup
Live label (top of chart)
A single line shows the Expected Move (%) with arrow and color-coded background (↑ green / ↓ pink) for instant direction clarity.
Tip: Use Replay to watch label → ▲/▼ → ■ sequences on past data.
Confidence filter (important)
|Expected Move| < 1% → treat as noise / ignore
If considering the opposite direction, wait for a ■ first (edge reduced).
Scope
Internal calculations are fixed to 15-minute resolution.
Built for BTC 15m. It may display on other crypto symbols/timeframes, but performance is not guaranteed.
Alerts
Ready-made conditions: ENTRY LONG / ENTRY SHORT / EXIT LONG / EXIT SHORT. Add an alert on this indicator and choose the condition you want.
Risk note
For research/education only. Past behavior doesn’t guarantee future results. Predefine position sizing, stops, and profit-taking, and execute consistently.
Anrazzi - EMAs/ATR - 1.0.2The Anrazzi – EMAs/ATR indicator is a multi-purpose overlay designed to help traders track trend direction and market volatility in a single clean tool.
It plots up to six customizable moving averages (MAs) and an Average True Range (ATR) value directly on your chart, allowing you to quickly identify market bias, dynamic support/resistance, and volatility levels without switching indicators.
This script is ideal for traders who want a simple, configurable, and efficient way to combine trend-following signals with volatility-based position sizing.
📌 Key Features
Six Moving Averages (MA1 → MA6)
Toggle each MA on/off individually
Choose between EMA or SMA for each
Customize length and color
Perfect for spotting trend direction and pullback zones
ATR Display
Uses Wilder’s ATR formula (ta.rma(ta.tr(true), 14))
Can be calculated on current or higher timeframe
Adjustable multiplier for position sizing (e.g., 1.5× ATR stops)
Displays cleanly in the bottom-right corner
Custom Watermark
Displays symbol + timeframe in top-right
Adjustable color and size for streamers, screenshots, or clear charting
Compact UI
Organized with group and inline inputs for quick configuration
Lightweight and optimized for real-time performance
⚙️ How It Works
MAs: The script uses either ta.ema() or ta.sma() to compute each moving average based on the user-selected type and length.
ATR: The ATR is calculated using ta.rma(ta.tr(true), 14) (Wilder’s smoothing), and optionally scaled by a multiplier for easier use in risk management.
Tables: ATR value and watermark are displayed using table.new() so they stay anchored to the screen regardless of zoom level.
📈 How to Use
Enable the MAs you want to track and adjust their lengths, type, and colors.
Enable ATR if you want to see volatility — optionally select a higher timeframe for broader context.
Use MAs to:
Identify overall trend direction (e.g. price above MA20 = bullish)
Spot pullback zones for entries
See when multiple MAs cluster together as support/resistance zones
Use ATR value to:
Size your stop-loss dynamically (e.g. stop = entry − 1.5×ATR)
Detect volatility breakouts (ATR spikes = market expansion)
🎯 Recommended For
Day traders & swing traders
Trend-following & momentum strategies
Volatility-based risk management
Traders who want a clean, all-in-one dashboard
Heikin Ashi Overlay SuiteHeikin Ashi Overlay Suite is designed to give traders more control and clarity when working with Heikin Ashi candles — whether you're analyzing trend strength, reducing chart noise, or simply improving your visual read of market momentum. It works by layering multiple types of HA overlays and color systems on top of your standard candlestick chart — without switching chart types. With dynamic gradient coloring, smoothing options, and a predictive line tool, this script helps you see not just what the current trend is, but how strong it is, and what it would take to reverse it.
Heikin Ashi candles help reduce noise but this script goes further by:
➡️adding color intelligence that shows trend strength using a streak counter
➡️uses smoothing logic to clean up chop and whipsaws
➡️introduces a predictive close line — a subtle but powerful guide for anticipating trend flips before they happen
Everything is configurable: colors, candle sources, overlays, predictive tools, and line styles. It’s built for traders who want visual speed, but don’t want to sacrifice signal quality.
At its core, the script offers two powerful dropdown controls:
💥HA Color Scheme (Colors Regular Candles) — Applies Heikin Ashi-derived coloring to your regular candles based on trend direction or streak strength. This gives you instant visual context without switching to a separate chart type.
💥HA Candle Overlay Mode — Overlays actual Heikin Ashi-style candles directly on top of your chart, using your preferred source:
➡️Custom HA candles using internal formula logic
➡️TradingView’s built-in Heikin Ashi source with your own colors
➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖
🎨 Custom + Gradient HA Coloring🎨
See trend strength at a glance:
➡️1–4 bar streaks → lighter tone
➡️5–8 bars → medium tone
➡️9+ bars → bold tone, ideal for momentum-based entries, exits, or scaling strategies
→ Choose from:
➡️Your own custom color set
➡️A simple 2-color base mode
➡️Or a 3-level gradient for progressive trend analysis (using the streak counter)
🏛️ TradingView Official Heikin Ashi Overlay
Prefer native HA candles but want your own colors?
This mode plots TradingView's Heikin Ashi source, with your personal bullish/bearish color scheme.
➡️Ensures consistency with built-in charts while still leveraging your visual style.
🌊 Smoothed Heikin Ashi Candles — Clarity in Chaos🌊
These aren’t your standard HA candles. Smoothed Heikin Ashi uses a two-step EMA process to transform chaotic price action into a cleaner, slower-moving trend structure:
🔹 First, it smooths the raw OHLC data using EMA — filtering out minor price fluctuations.
🔹 Then, it applies the Heikin Ashi transformation on top of the smoothed data.
🔹 Finally, it applies a second EMA smoothing pass to the HA values — creating ultra-smooth candles.
📈 What You See:
Trends appear more fluid and consistent.
Choppy ranges and fakeouts are visually suppressed.
Minor pullbacks within a trend are de-emphasized, helping you avoid premature exits.
🎯 Best For:
Swing traders looking to stay in positions longer.
Intraday traders dealing with volatile or noisy instruments.
Anyone who wants a "trend map" overlay without the distractions of raw price action.
✅ Reduces whipsaws
✅ Delivers high-contrast trend zones
✅ Makes reversals more visually apparent (but with a slight lag)
📍 Predictive Close Line📍
Shows where the real close must land to flip the current HA candle's color.
✅ Use it like predictive support/resistance
✅ Know if the trend is actually at risk
✅Visualize potential fakeouts or confirmation
Color-coded based on current HA direction (bullish, bearish, or neutral).
📈 Tick by tick & bar-to-bar Plots📈
Provides 2 plot types:
1)1 plot that tracks a bar tick by tick
2)another plot that tracks the close from bar to bar
For the bar to bar plot, you can choose between 2 options:
✅Full Plot — continuous line colored by HA trend
✅Recent Segments — color just the last few bars (configurable) to reduce chart clutter
✅ Customize width, number of bars, and visibility
➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖
📘 How to Use this script📘
Imagine you're watching a choppy 15-minute chart on a volatile crypto pair — price action is messy, and it’s hard to tell if a trend is forming or just noise.
Here’s how to cut through the chaos using Heikin Ashi Overlay Suite:
🔹 Step 1: Enable "Smoothed HA Candles"
Start by turning on the smoothed candles. You’ll immediately notice the noise fades, and broader directional moves become easier to follow. It's like switching from static to clean trend zones.
🧠 Why: Smoothed HA uses a double EMA process that filters out small reversals and lets larger moves stand out. Perfect for sideways or jittery charts.
🔹 Step 2: Watch the Color Gradient Build
As the smoothed candles begin to align in one direction, the gradient coloring (1–4, 5–8, 9+ streaks) gives you an at-a-glance visual of how strong the trend is.
✅ If you see 9+ same-colored candles? You’re likely in a mature trend.
✅ If it resets often? You’re in chop — consider staying out.
🔹 Step 3: Use the Predictive Close Line for Anticipation
Now here’s the edge — this line tells you where the candle would have to close to flip colors.
📉 If price is hovering just above it during a bullish run — momentum may be weakening.
📈 If price bounces off it — the trend may be strengthening.
This is excellent for confirming entries, exits, or spotting early warning signs.
🔹 Step 4: Switch Between Candle Modes as Needed
You can flip between:
✅ Custom HA: Gradient candles with your colors
✅ TradingView HA: The official source with your styling
✅ None: Just color regular candles using the HA logic
Use what fits your style — everything is modular.
🔹 Step 5: Tune It to Your Chart
Lastly, tweak streak thresholds (currently only can do this within the source code), smoothing lengths, and line styles to match your timeframe and strategy.
🎯 Tailor The Settings to Fit Your Trading Style🎯
🔹 🧪 Scalper (1–5 min charts)
If you’re trading fast intraday moves, you want quicker responsiveness and less lag.
Try these settings:
🔸Smoothing Lengths: Use lower values (e.g. len = 3, len2 = 5)
🔸Candle Mode: Use Custom HA or TV’s HA for real-time color flips
🔸Predictive Close Line: Great for ultra-fast anticipation of color reversals
🔸Line Mode: Use Recent Segments mode to track short bursts of trend
🔸Colors: Use high-contrast, opaque colors for clarity
✅ These settings help you catch micro-trends and flip signals faster, while still filtering out the worst of the noise.
🔹 🧪 Swing Trader (30m–4h charts and beyond)
If you’re looking for multi-hour or multi-day trend confirmation, prioritize clarity and staying in moves longer.
Recommended setup:
🔸Smoothing Lengths: Medium to high values (e.g. len = 8, len2 = 21)
🔸Candle Mode: Use Smoothed HA Candles to block out intrabar chop
🔸Gradient Colors: Enable to visualize trend maturity and strength
🔸Predictive Close Line: Helps confirm trend continuation or spot early reversals
🔸Line Mode: Use Full Plot Line for clean HA-based trend tracking
✅ These settings give you a calm, clean view of the bigger picture — ideal for holding positions longer and avoiding early exits.
🔧 This script isn’t just a chart overlay — it’s a visual trend engine.🔧
Ideal For:
🔶 Trend-followers who want clean, color-coded confirmation
🔶 Reversal traders spotting exhaustion via predictive flips
🔶 Scalpers filtering noise with lighter smoothing
🔶 Swing traders using smoothed visuals to hold longer
📌 Final Note
Heikin Ashi Overlay Pro is designed to help you see momentum, trend shifts, and market structure with greater clarity — not to predict price on its own. For best results:
✔️ Combine with support/resistance, moving averages, or price action patterns
✔️ Use Predictive Close as a confirmation tool, not a signal generator
✔️ Pair gradient colors with structure to gauge trend maturity
✔️ Always zoom out and check higher timeframes for context
🧠 Use this as part of a layered approach — not a standalone system.
🙏 Credits🙏
⚡HA logic based on SimpleCryptoLife
⚡Smoothed HA concept adapted from a script by Jackvmk
💡💡💡Turn logic into clarity. Structure into trades. And uncertainty into confidence.💡💡💡
Candle Overlay htf embedHTF Candle Overlay for mltf candle
A candle overlay that provides ease of use for the 1m chart to see candle structures of 30m or more from 1m. (with OHLC)
Historical Year OverlayThis script allows you to simply source any historical calendar year and overlay it over any other year (usually a historical year overlaying a year in the future). It was made using an LLM for coding help and logic.
It is great for working out potential pivots and it also maps the previous profit/loss from the source year over the plot year so that we can see the connection to price levels throughout the plot year and also with the yearly close (we get a horizontal line for the close).
It uses the year open as a price reference to plot the P&L over the plot year (if use plot year option is selected).
if the year has not started yet you can use the "manual opening price" OR it will auto set to the current price (great for "replay mode", it will catch the actual opening price once it happens).
The settings are self explanatory. Choose a source year and plot year.
Choose a multiplier if you'd like (it simply multiplies the plot year P&L by that number; ie: 1 means the same as it was, 0.5 means half of what is was, 2 means 2x the source P&L)
The resolution is max default 50 line segments but you can simplify if you'd like.
I've released the code open-source so you can see what it is doing.
Please update it with all the enhancements you can think of.
Please let me know if you do this as I will be very interested!
Dynamic Structure Overlay [AlgoXcalibur]Dynamic Structure Overlay combines an ultra-dynamic Ribbon, adaptive supply/demand Zones, and a versatile momentum-based Cloud to paint a stunning picture of market structure. Whether you're riding strong trends or patiently analyzing consolidation, this tool helps visualize factors that influence trend direction and price movement.
📊 Indicator Components and Functions
This indicator integrates three core elements to provide an intuitive analysis of trend and market structure. Each component can be independently enabled or disabled to suit your preferences.
• Dynamic Ribbon
At the center of attention is the Dynamic Ribbon, which uses multi-layered moving averages rendered as a flowing ribbon with adaptive color gradients. It reacts to price action in real time, revealing trend direction, strength, and periods of expansion or compression.
• Dynamic Zones
These volume-weighted supply and demand zones are derived from price-to-volume deviations relative to VWAP. These zones often guide price action during strong trends.
• Dynamic Cloud
A unique momentum-based structure derived from dynamic price ranges by averaging the highs and lows from recent price action. The Cloud captures momentum strength and directional pressure, providing a visual guide to trend continuations and transitions.
Together, these components form a comprehensive overlay that adapts in real time to changing market conditions.
🚀 Ride the Trend
Dynamic Structure Overlay is a multi-dimensional tool — its framework helps visualize dynamic factors that often influence price action, assisting traders in staying aligned with the evolving trend.
Institutional Sessions Overlay (Asia/London/NY)Institutional Sessions Overlay is a professional TradingView indicator that visually highlights the main trading sessions (Asia, London, and New York) directly on your chart.
Customizable: Easily adjust session start and end times (including minutes) for each market.
Timezone Alignment: Shift session boxes using the timezone offset parameter so sessions match your chart’s timezone exactly.
Clear Visuals: Colored boxes and optional labels display session opens and closes for fast institutional market structure reference.
Toggle Labels: Show or hide session open/close labels with a single click for a clean or detailed look.
Intuitive UI: User-friendly grouped settings for efficient configuration.
This tool is designed for day traders, institutional traders, and anyone who wants to instantly recognize global session timing and ranges for SMC, ICT, and other session-based strategies.
How to use:
Set your chart to your local timezone.
Use the "Session timezone offset" setting if session boxes do not match actual session opens on your chart.
Adjust the hours and minutes for each session as needed.
Enable or disable labels in the “Display” settings group.
Tip: Use the overlay to spot session highs and lows, volatility windows, and institutional liquidity sweeps.
Live Price Watermark (Flashing Overlay)Displays the current price as a large, centered watermark directly on your chart. The text color updates dynamically:
- Green when price rises
- Red when price falls
- Translucent black when unchanged
Z Score Overlay [BigBeluga]🔵 OVERVIEW
A clean and effective Z-score overlay that visually tracks how far price deviates from its moving average. By standardizing price movements, this tool helps traders understand when price is statistically extended or compressed—up to ±4 standard deviations. The built-in scale and real-time bin markers offer immediate context on where price stands in relation to its recent mean.
🔵 CONCEPTS
Z Score Calculation:
Z = (Close − SMA) ÷ Standard Deviation
This formula shows how many standard deviations the current price is from its mean.
Statistical Extremes:
• Z > +2 or Z < −2 suggests statistically significant deviation.
• Z near 0 implies price is close to its average.
Standardization of Price Behavior: Makes it easier to compare volatility and overextension across timeframes and assets.
🔵 FEATURES
Colored Z Line: Gradient coloring based on how far price deviates—
• Red = oversold (−4),
• Green = overbought (+4),
• Yellow = neutral (~0).
Deviation Scale Bar: A vertical scale from −4 to +4 standard deviations plotted to the right of price.
Active Z Score Bin: Highlights the current Z-score bin with a “◀” arrow
Context Labels: Clear numeric labels for each Z-level from −4 to +4 along the side.
Live Value Display: Shows exact Z-score on the active level.
Non-intrusive Overlay: Can be applied directly to price chart without changing scaling behavior.
🔵 HOW TO USE
Identify overbought/oversold areas based on +2 / −2 thresholds.
Spot potential mean reversion trades when Z returns from extreme levels.
Confirm strong trends when price remains consistently outside ±2.
Use in multi-timeframe setups to compare strength across contexts.
🔵 CONCLUSION
Z Score Overlay transforms raw price action into a normalized statistical view, allowing traders to easily assess deviation strength and mean-reversion potential. The intuitive scale and color-coded display make it ideal for traders seeking objective, volatility-aware entries and exits.
Lunar Cycle Tracker - (Moon + 3 Mercury Retrogrades)This script overlays the lunar and Mercury retrograde cycles directly onto your chart, helping traders visualize natural timing intervals that may influence market behavior.
Key Features:
🌑 New Moon & Full Moon Markers:
Vertical lines and labels indicate new and full moon events each month. You can fully customize their colors.
🌗 Last Quarter Moon Fill:
A soft pink background highlights the last quarter moon phase (from 7.4 days after the full moon to the next new moon).
🪐 Three Mercury Retrograde Zones:
Highlight up to three retrograde periods per year with customizable date inputs and background color. Great for spotting potential reversal or volatility windows.
Customization:
Moon event dates and colors
Manual input for Mercury retrograde periods (year, month, day)
Full compatibility with all timeframes (1H, 4H, daily, etc.)
Great for astro-cycle traders, Gann-based analysts, or anyone who respects time symmetry in the markets.
Fully customizable & works across all timeframes.
This tool was created by AngelArt as part of a larger astro-market model using lunar timing and planetary retrogrades for cycle-based market analysis.
Uptrick: Stellar NexusOverview
Uptrick: Stellar Nexus is a multi-layered chart tool designed to help traders visualize market behavior with enhanced clarity and depth. It presents various overlays, signal triggers, and an asset-level behavioral table in one cohesive interface. Its core focus is to illustrate how different market states shift over time. By displaying directional structures, dynamic zones, momentum shifts, and a real-time probability assessment of multiple assets, it aims to deliver a comprehensive perspective for those looking to navigate complex market environments more confidently.
Purpose
The primary purpose of Stellar Nexus is to unify several market assessment methods into a single framework, sparing users the need to rely on multiple disjointed indicators. It is especially useful for traders who value having layered signals, interactive overlays, and a quick reference to asset-specific metrics within one tool. By consolidating multiple market insights, the script aspires to reduce guesswork, limit information overload, and present clear triggers for potential trade opportunities or risk management decisions.
Originality
Stellar Nexus stands out because it relies on a proprietary set of logic layers, each carefully designed to detect nuanced shifts in price movement. The script brings forward a streamlined depiction of underlying market changes through color-coded zones, shape markers, and short textual tags. Its architecture also accommodates multiple “modes” of viewing the market—be it through layered cloud structures, trend ribbons, or step-based overlays—so traders can adapt its outputs to match changing conditions. The presence of a specialized probability table and a real-time market state meter (HUD Meter) further underscores its uniqueness, providing at-a-glance scoring for various instruments and a gauge that visually displays ongoing transitions from trending to ranging phases.
Inputs
Stellar Nexus includes several user-configurable settings, organized into themed groups. Each input subtly modifies how information is derived or rendered on the chart:
General
Silken Veil (integer input) : Governs how smooth or responsive various underlying signals will appear.
Canvas (dropdown) : Chooses the primary visual overlay style among Nebula Trail, Velora, or Stellar Stepfilter.
Signals (dropdown) : Selects which built-in signal engine (Fluxor or Flowgen) is responsible for painting buy and sell markers.
Nova Tension (integer input) : Influences the internal motion sensitivity used by certain triggers.
Astral Ribbon (integer input) : Imparts a broader directional bias layer that can highlight whether the current environment is bullish or bearish.
Bands
Phase Delay (integer input) : Impacts baseline offsets for certain dynamic band calculations.
Band Softener (float input) : Creates a blended baseline, balancing two distinct smoothing techniques.
Spread Factor (float input) : Scales how wide or narrow the generated envelope bands become.
Layer Offset (float input) : Adjusts spacing between multiple layered boundaries in the band structure.
Smooth Mode (dropdown boolean) : Toggles an extra layer of smoothing on or off for the plotted envelopes.
Feed Matrix
Burst (integer input) : Adjusts how the Flowgen engine interprets momentum buildup. Higher values generally lead to more conservative signals.
Delta Curve Sync (integer input) : Alters the sensitivity of directional alignment within the Flowgen system, refining how quickly the script adapts to market slope changes.
Lambda Pulse Shift (integer input) : Controls timing offsets within the Flowgen structure, subtly influencing the trigger timing of transitions.
Sync Drift Limit (integer input) : Provides a stabilizing effect on the internal motion detection engine, helping reduce erratic behavior during choppy conditions.
WMA Open Filter Tunnel (integer input) : Filters signal validity by applying a dynamic range check on opening price structures, reducing false positives in unstable markets.
Probability Table
Show Predictability Table (boolean) : Enables or disables a table of asset metrics.
Show Numeric Values (boolean) : Switches between displaying numeric values and using simple directional markers in the table cells.
Stepfilter
Sensitivity (dropdown) : Offers a range of speed profiles (Very Fast to Very Slow and TURTLE option) that define how quickly or slowly the step-based overlay reacts to price changes.
HUD Meter
Show Stellar HUD Meter (boolean) : Turns on or off a specialized gauge for quick insight into trending vs. ranging conditions.
Take Profit Signals
Show TP Signals (boolean) : Determines whether exit or take-profit markers are displayed after certain conditions have been met.
Phase Length (integer input) : Influences the internal baseline used for the exit signal logic.
Sync Channel (integer input) : Sets a period within which different data points are compared or synced.
Filter (integer input) : Imposes an additional smoothing on exit-related cues.
Features
Signals (Fluxor and Flowgen)
Fluxor
Logic: Fluxor focuses on detecting specific price transitions, validating them against an internal directional and momentum layer, and then confirming the move based on the script’s overarching market bias.
Visual Representation: When Fluxor is activated, up and down label markers (“▲+” or “▼+”) appear at points the system regards as noteworthy transitions. These do not guarantee trades but are designed to guide users on when buying or selling pressure may have intensified or reversed.
How It Helps: Fluxor is streamlined for those who want simpler, clearer triggers that factor in both trend alignment and short-term motion shifts. This option is more for mean reversion traders.
Flowgen
Logic: Flowgen employs a slightly more sophisticated approach that evaluates multiple “environmental layers,” including structural alignment, directional slope checks, and distinct open-state filters.
Visual Representation: When Flowgen senses a valid transition, it prints discrete up and down markers, much like Fluxor, but triggered by different, multi-layer considerations.
How It Helps: Flowgen caters to traders who desire more emphasis on layered agreement—where multiple aspects of the market must line up before a signal is shown. This option is more for trend following traders.
Overlays (Nebula Trail, Velora, Stellar Stepfilter)
Nebula Trail
Purpose: This indicator employs dynamic, color-coded bands around price action to illustrate prevailing market bias and track which side—bulls or bears—wields greater influence, aligning with a trend-following approach.
Usage: This indicator creates outer and inner “band” regions that can function as potential support or resistance in alignment with market momentum. In bullish phases, the cloud below price acts as a supportive barrier, whereas during bearish conditions, the cloud above price provides a point of resistance. When a bearish signal is detected, traders may enter short positions on a price bounce off this band and then exit when subsequent take-profit cues appear, effectively leveraging the band for both entry and exit strategies.
Velora
Purpose: Extends the concept of band visualization into layered “tiers,” giving a more fine-grained view of how price transitions from one band to another.
Representation: Zones are subdivided into multiple steps, each with distinct shading. As the script’s internal logic detects shifts between bullish or bearish conditions, these layered bands expand or contract to reflect changing momentum.
Usage: Velora subdivides zones into multiple steps, each featuring distinct shading. As the script's internal logic detects shifts between bullish or bearish conditions, these layered bands expand or contract, signaling changes in momentum. When price enters the upper band, especially if the HUD meter shows less definitive momentum, it may hint at a non-trending environment; conversely, in a bearish scenario, the lower band can act as potential support. Narrower bands often point to an impending breakout, while wider bands can suggest a possible reversion in price. Velora is well-suited for traders wanting to see more intermediate zones where the market may hesitate or show partial confirmation—ideal for refined entries or exits.
Smooth:
Choppy:
Stellar Stepfilter
Purpose: Focuses on a persistent directional line that only updates when the script’s logic deems a genuine shift is taking place.
Representation: A single line plots on the chart to represent the “locked” direction. During periods of noise or indecision, this line may remain static, reducing false signals. Optionally, bars can be recolored to reflect bullish or bearish states.
Usage: Traders who prefer a minimalistic, stand-back approach often select Stellar Stepfilter for its ability to filter out choppy conditions and highlight clearer momentum strides. When the line remains flat—particularly in the very slow or “turtle” mode—it signals a ranging market, offering valuable insight into periods of reduced volatility. In TURTLE mode, bars are recolored green or orange to reflect locked trend direction more visibly. TURTLE mode offers the most conservative setting within the Stepfilter engine, emphasizing stability and clarity by reacting only to the strongest directional conditions and visually reinforcing its state through bar coloring.
Very Fast
Very Slow
TURTLE Mode
Probability Table
Description: The Probability Table is displayed on the top-right corner (by default). It automatically fetches data for a handful of assets (in this case, five popular cryptocurrencies), then scores each asset on multiple behavioral metrics. By default, the Probability Table monitors SOL, BTC, ETH, BNB, and XRP from Binance.
Metrics Explained:
HV: Suggests how the asset’s price is fluctuating relative to a standard reference.
ATR/Vol: A ratio that provides insight into volatility compared to trading activity.
WBR: Compares candle wicks against their bodies to gauge the frequency of price swings outside an open-close range.
Liq Clust: Indicates if there are pockets of stable or unstable liquidity.
Momentum: Observes shifts in buying or selling pressure.
PRI: Shows a baseline measure of how far price has deviated from a certain average over time.
Final Verdict: Based on each metric’s reading, an overall classification emerges: Predictable, Moderate, or Chaotic.
How It Helps: Traders can quickly scan this table to see if an asset’s environment is “Predictable” (potentially more structured), “Moderate” (balanced or transitional), or “Chaotic” (unstable and riskier). Each cell can optionally show either numeric approximations or simple “up/down” arrows to reduce clutter.
Non Numeric Values
Numeric Values
Stellar HUD Meter
Description: Located at the top center of the chart, this horizontal gauge toggles between “Trending” and “Ranging,” representing how firmly price is locked in directional expansion versus sideways hesitation.
Mechanics (General): The gauge increments or decrements over time, smoothing out abrupt shifts. A pointer slides across the meter, indicating whether conditions are leaning more toward persistent momentum or uncertain, choppy movement.
How It Helps: This immediate visual feedback helps traders decide if momentum strategies or mean-reversion approaches are more suitable at a given moment, avoiding reliance on guesswork alone.
Take Profit Signals
Description: After any buy or sell trigger occurs (either through Fluxor or Flowgen), the script can flag up to three potential exit points.
Trigger Logic (General): These exits appear when certain internal checks sense that short-term upside or downside pressure may be waning.
Representation: Small markers (“X”) appear near the top or bottom of the candle.
How It Helps: Rather than passively holding a position, these optional signals remind traders of possible exhaustion points. If they choose to follow them, it can help secure partial or full profits during a trend.
Why more than one indicator?
Having more than one internal indicator engine allows Stellar Nexus to adapt to different market behaviors and personal trading styles. Sometimes traders require swift, high-frequency triggers (Fluxor). Other times, they prefer more layered agreement before taking a position (Flowgen). Similarly, each overlay—Nebula Trail, Velora, and Stellar Stepfilter—offers a distinct method for visualizing price action. Markets are dynamic, and no single representation is ideal for all conditions. By blending multiple approaches into one script, Stellar Nexus provides flexibility: a user can switch between sets of signals or overlays based on market phase, personal risk preference, or the timeframe being traded.
Additional Features
Alert System: Built-in alerts for every trigger or state change ensure that traders can receive real-time notifications, even when away from the chart. The alert system includes buy/sell triggers, trend shifts, overlay transitions, take-profit points, and predictability status changes across monitored assets.
Selective Visibility: Users can enable or disable various modules—Probability Table, HUD Meter, Take Profit Signals—to keep their chart interface uncluttered.
State Persistence: Certain modules “lock in” their reading until a strong reason emerges to change it, which can help minimize false flips in volatile conditions.
Tailored Aesthetics: Color choices and label styling are curated to be visually distinct, reducing confusion when multiple signals or overlays occur simultaneously.
Conclusion
Uptrick: Stellar Nexus is a comprehensive, multi-layer script that merges aesthetic clarity with functional depth. It combines diverse overlays, signal engines, probability analyses, and a heads-up market meter into one cohesive tool. By handling trending vs. ranging states, evaluating asset predictability, and offering selective take-profit cues, it serves as a versatile companion for traders who want organized, visually intuitive guidance. Its originality is found not only in how it disguises internal computations, but in the ease with which users can cycle through different overlays and signals to suit changing market conditions. As always, personal due diligence, market awareness, and risk management remain essential. Stellar Nexus simply provides a refined canvas on which to read and interpret price action more confidently.
Disclaimer
This indicator is provided solely for informational and educational purposes. It does not constitute investment advice or a recommendation to engage in any trading activities. Trading and investing in financial markets involve significant risk, and past performance is not indicative of future results. Always conduct your own research, utilize proper risk management, and consider consulting a qualified financial professional before making any investment decisions. Neither the creator nor any contributors to this script accept any liability for financial losses or damages arising from its use. Users of this indicator assume full responsibility for their trading activities.
Fixed RSI Overlay [lognomics]This overlay indicator provides a dynamic visualization of the RSI on the instrument price chart. It enhances the standard RSI oscillator by scaling it relative to the anchor's maximum & minimum range, conceptualizing how price reacts at standard oscillation levels.
Starting at the anchor's open, the tool collects all the RSI values from each candle within the range, and stores them inside an array corresponding to each candle index. It then pulls relative values and plots a line connecting each point accordingly to the 0-100 range scale.
While determining each maximum and/or minimum the script will plot a box from the opening time of the anchor, encapsulating the high & low of the range, to end at the next anchor time. To the right to of the box, a label is plotted which is pushed to the current time & current RSI y value within the fixed scale.
CMF and Scaled EFI OverlayCMF and Scaled EFI Overlay Indicator
Overview
The CMF and Scaled EFI Overlay indicator combines the Chaikin Money Flow (CMF) and a scaled version of the Elder Force Index (EFI) into a single chart. This allows traders to analyze both indicators simultaneously, facilitating better insights into market momentum and volume dynamics , specifically focusing on buying/selling pressure and momentum , without compromising the integrity of either indicator.
Purpose
Chaikin Money Flow (CMF): Measures buying and selling pressure by evaluating price and volume over a specified period. It indicates accumulation (buying pressure) when values are positive and distribution (selling pressure) when values are negative.
Elder Force Index (EFI): Combines price changes and volume to assess the momentum behind market moves. Positive values indicate upward momentum (prices rising with strong volume), while negative values indicate downward momentum (prices falling with strong volume).
By scaling the EFI to match the amplitude of the CMF, this indicator enables a direct comparison between pressure and momentum , preserving their shapes and zero crossings. Traders can observe the relationship between price movements, volume, and momentum more effectively, aiding in decision-making.
Understanding Pressure vs. Momentum
Chaikin Money Flow (CMF):
- Indicates the level of demand (buying pressure) or supply (selling pressure) in the market based on volume and price movements.
- Accumulation: When institutional or large investors are buying significant amounts of an asset, leading to an increase in buying pressure.
- Distribution: When these investors are selling off their holdings, increasing selling pressure.
Elder Force Index (EFI):
- Measures the strength and speed of price movements, indicating how forceful the current trend is.
- Positive Momentum: Prices are rising quickly, indicating a strong uptrend.
- Negative Momentum: Prices are falling rapidly, indicating a strong downtrend.
Understanding the difference between pressure and momentum is crucial. For example, a market may exhibit strong buying pressure (positive CMF) but weak momentum (low EFI), suggesting accumulation without significant price movement yet.
Features
Overlay of CMF and Scaled EFI: Both indicators are plotted on the same chart for easy comparison of pressure and momentum dynamics.
Customizable Parameters: Adjust lengths for CMF and EFI calculations and fine-tune the scaling factor for optimal alignment.
Preserved Indicator Integrity: The scaling method preserves the shape and zero crossings of the EFI, ensuring accurate analysis.
How It Works
CMF Calculation:
- Calculates the Money Flow Multiplier (MFM) and Money Flow Volume (MFV) to assess buying and selling pressure.
- CMF is computed by summing the MFV over the specified length and dividing by the sum of volume over the same period:
CMF = (Sum of MFV over n periods) / (Sum of Volume over n periods)
EFI Calculation:
- Calculates the EFI using the Exponential Moving Average (EMA) of the price change multiplied by volume:
EFI = EMA(n, Change in Close * Volume)
Scaling the EFI:
- The EFI is scaled by multiplying it with a user-defined scaling factor to match the CMF's amplitude.
Plotting:
- Both the CMF and the scaled EFI are plotted on the same chart.
- A zero line is included for reference, aiding in identifying crossovers and divergences.
Indicator Settings
Inputs
CMF Length (`cmf_length`):
- Default: 20
- Description: The number of periods over which the CMF is calculated. A higher value smooths the indicator but may delay signals.
EFI Length (`efi_length`):
- Default: 13
- Description: The EMA length for the EFI calculation. Adjusting this value affects the sensitivity of the EFI to price changes.
EFI Scaling Factor (`efi_scaling_factor`):
- Default: 0.000001
- Description: A constant used to scale the EFI to match the CMF's amplitude. Fine-tuning this value ensures the indicators align visually.
How to Adjust the EFI Scaling Factor
Start with the Default Value:
- Begin with the default scaling factor of `0.000001`.
Visual Inspection:
- Observe the plotted indicators. If the EFI appears too large or small compared to the CMF, proceed to adjust the scaling factor.
Fine-Tune the Scaling Factor:
- Increase or decrease the scaling factor incrementally (e.g., `0.000005`, `0.00001`, `0.00005`) until the amplitudes of the CMF and EFI visually align.
- The optimal scaling factor may vary depending on the asset and timeframe.
Verify Alignment:
- Ensure that the scaled EFI preserves the shape and zero crossings of the original EFI.
- Overlay the original EFI (if desired) to confirm alignment.
How to Use the Indicator
Analyze Buying/Selling Pressure and Momentum:
- Positive CMF (>0): Indicates accumulation (buying pressure).
- Negative CMF (<0): Indicates distribution (selling pressure).
- Positive EFI: Indicates positive momentum (prices rising with strong volume).
- Negative EFI: Indicates negative momentum (prices falling with strong volume).
Look for Indicator Alignment:
- Both CMF and EFI Positive:
- Suggests strong bullish conditions with both buying pressure and upward momentum.
- Both CMF and EFI Negative:
- Indicates strong bearish conditions with selling pressure and downward momentum.
Identify Divergences:
- CMF Positive, EFI Negative:
- Buying pressure exists, but momentum is negative; potential for a bullish reversal if momentum shifts.
- CMF Negative, EFI Positive:
- Selling pressure exists despite rising prices; caution advised as it may indicate a potential bearish reversal.
Confirm Signals with Other Analysis:
- Use this indicator in conjunction with other technical analysis tools (e.g., trend lines, support/resistance levels) to confirm trading decisions.
Example Usage
Scenario 1: Bullish Alignment
- CMF Positive: Indicates accumulation (buying pressure).
- EFI Positive and Increasing: Shows strengthening upward momentum.
- Interpretation:
- Strong bullish signal suggesting that buyers are active, and the price is likely to continue rising.
- Action:
- Consider entering a long position or adding to existing ones.
Scenario 2: Bearish Divergence
- CMF Negative: Indicates distribution (selling pressure).
- EFI Positive but Decreasing: Momentum is positive but weakening.
- Interpretation:
- Potential bearish reversal; price may be rising but underlying selling pressure suggests caution.
- Action:
- Be cautious with long positions; consider tightening stop-losses or preparing for a possible trend reversal.
Tips
Adjust for Different Assets:
- The optimal scaling factor may differ across assets due to varying price and volume characteristics.
- Always adjust the scaling factor when analyzing a new asset.
Monitor Indicator Crossovers:
- Crossings above or below the zero line can signal potential trend changes.
Watch for Divergences:
- Divergences between the CMF and EFI can provide early warning signs of trend reversals.
Combine with Other Indicators:
- Enhance your analysis by combining this overlay with other indicators like moving averages, RSI, or Ichimoku Cloud.
Limitations
Scaling Factor Sensitivity:
- An incorrect scaling factor may misalign the indicators, leading to inaccurate interpretations.
- Regular adjustments may be necessary when switching between different assets or timeframes.
Not a Standalone Indicator:
- Should be used as part of a comprehensive trading strategy.
- Always consider other market factors and indicators before making trading decisions.
Disclaimer
No Guarantee of Performance:
- Past performance is not indicative of future results.
- Trading involves risk, and losses can exceed deposits.
Use at Your Own Risk:
- This indicator is provided for educational purposes.
- The author is not responsible for any financial losses incurred while using this indicator.
Code Summary
//@version=5
indicator(title="CMF and Scaled EFI Overlay", shorttitle="CMF & Scaled EFI", overlay=false)
cmf_length = input.int(20, minval=1, title="CMF Length")
efi_length = input.int(13, minval=1, title="EFI Length")
efi_scaling_factor = input.float(0.000001, title="EFI Scaling Factor", minval=0.0, step=0.000001)
// --- CMF Calculation ---
ad = high != low ? ((2 * close - low - high) / (high - low)) * volume : 0
mf = math.sum(ad, cmf_length) / math.sum(volume, cmf_length)
// --- EFI Calculation ---
efi_raw = ta.ema(ta.change(close) * volume, efi_length)
// --- Scale EFI ---
efi_scaled = efi_raw * efi_scaling_factor
// --- Plotting ---
plot(mf, color=color.green, title="CMF", linewidth=2)
plot(efi_scaled, color=color.red, title="EFI (Scaled)", linewidth=2)
hline(0, color=color.gray, title="Zero Line", linestyle=hline.style_dashed)
- Lines 4-6: Define input parameters for CMF length, EFI length, and EFI scaling factor.
- Lines 9-11: Calculate the CMF.
- Lines 14-16: Calculate the EFI.
- Line 19: Scale the EFI by the scaling factor.
- Lines 22-24: Plot the CMF, scaled EFI, and zero line.
Feedback and Support
Suggestions: If you have ideas for improvements or additional features, please share your feedback.
Support: For assistance or questions regarding this indicator, feel free to contact the author through TradingView.
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By combining the CMF and scaled EFI into a single overlay, this indicator provides a powerful tool for traders to analyze market dynamics more comprehensively. Adjust the parameters to suit your trading style, and always practice sound risk management.
