AetherEdge - OneButton Trend Master🖊️ Overview
AE-1BTN is a one-click trend tool stripped to ultimate simplicity. The chart background paints in three colors — green (buy), red (sell), grey (wait) — telling you the regime at a glance. Inside, a two-layer engine (EMA stack + KNN pattern match) decides, but the only user setting is sensitivity. For traders who don't want to fiddle with parameters and just want the verdict.
🔶 Key Features
3-color background: intuitive green / red / grey visualization
Two-layer engine: signal only when EMA stack and KNN match agree
Near-zero parameters: pick one of Conservative / Balanced / Aggressive
BUY/SELL labels on candles at trend flips
Internal complexity fully hidden — beginner-ready
Integrated HUD shows both layers and the final verdict
Built-in alerts
🧠 Technical Architecture
Layer one is the classic EMA stack — short/mid/long EMAs whose ordering gives a bullish/bearish/mixed verdict. Layer two is a genuine KNN (k-nearest-neighbors) algorithm: the current feature vector (return, momentum, volatility) is matched against feature vectors from each of the past 250 bars via Euclidean distance, picking the 7 nearest neighbors. Each neighbor votes by the actual 8-bar move that followed it, and the average becomes the predicted direction. Future leakage is structurally excluded — each neighbor's outcome uses only past data. The final verdict requires both layers to agree; disagreement defaults to WAIT, structurally suppressing noise signals.
⚙️ Recommended Settings & Tuning Guide
Just pick Sensitivity. For intraday or short swings, choose Balanced; for noise-heavy or ranging conditions, Conservative; to catch strong trends fast, Aggressive. All other parameters are pre-tuned internally and need no adjustment.
💡 How to Use in Practice
The simplest workflow is to follow the background. Hold longs while green, consider closing/flipping when it turns red, and stand aside on grey. The BUY/SELL labels mark trend-flip moments — useful as entry references. Combining with structure tools (support/resistance, key levels) and confirming the signal coincides with a relevant level raises conviction.
⚠️ Important Notes
Designed for trend-following, signals can flip frequently in ranges; frequent color changes can themselves be read as an "unstable regime" cue. The KNN layer runs only on the last bar for compute reasons, and historical background coloring uses the EMA stack alone — a design constraint, not repainting.
🚨 Disclaimer
This indicator is provided for educational and informational purposes only and does not constitute financial or investment advice. No signal guarantees future profit, and past performance does not indicate future results. All trading decisions are made at your own risk. Indicator
Polar Auto Fibonacci Pro - [Rehan Khanani]Polar AutoFib Pro
Polar AutoFib Pro is a professional all-in-one trading indicator that combines two powerful systems into a single clean overlay—a trend-following buy/sell signal engine and an automatic Fibonacci retracement tool. No need to juggle multiple indicators; everything you need is right here on the chart.
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HOW IT WORKS
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This indicator runs two engines simultaneously:
Engine 1 — PolarEdge Signal System
Generates high-probability Buy and Sell signals by combining three confirmations:
1. EMA 200 — The primary trend filter. When the price is above the EMA, the system looks for Buy setups. When the price is below, it looks for Sell setups. This keeps you trading with the dominant trend at all times.
2. Supertrend — A dynamic volatility-based band that confirms trend direction. The green band confirms bullish momentum; the red band confirms bearish momentum.
3. RSI (Relative Strength Index) — Used as a momentum trigger. A BUY signal fires when RSI crosses up from the oversold zone (default 30). A SELL signal fires when RSI crosses down from the overbought zone (default 70).
All three conditions must align simultaneously—this triple-confirmation logic filters out weak and false signals.
Engine 2 — Auto Fibonacci Retracement
Automatically detects the most recent swing high and swing low using pivot point calculations, then draws the complete Fibonacci retracement grid in real time — no manual drawing required.
The indicator identifies whether the last major pivot was a high or a low, determines the swing direction, and plots all key levels accordingly. When a new swing forms, the levels update automatically.
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FIBONACCI LEVELS INCLUDED
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0 / 0.236 / 0.382 / 0.5 / 0.618 / 0.786 / 1
1.618 / 2.618 / 3.618 / 4.236
Each level is independently toggleable with its own color control. You can show values as decimals or as percentages. Labels can be positioned on the left or right side of the chart. Line extension can be set to Left, Right, or Both directions.
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KEY FEATURES
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- Triple-confirmation Buy/Sell signals (EMA + Supertrend + RSI)
- Automatic Fibonacci retracement — no manual drawing needed
- Real-time swing detection using pivot high/low logic
- Dynamic trend background (subtle green/red shading behind candles)
- 11 fully customizable Fibonacci levels with individual color pickers
- Toggle each Fib level on/off independently
- Show prices and/or level values on labels
- Labels position: Left or Right
- Line extension: Left, Right, or Both
- Reverse Fib direction toggle
- Works on all assets: Forex, Crypto, Commodities, Indices, Stocks
- Works on all timeframes
- 6 built-in alert conditions (see Alerts section below)
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SETTINGS GUIDE
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Group 1 — PolarEdge Signal Settings
- Trend Baseline EMA: Period for the main trend filter (default 200)
- RSI Length: RSI calculation period (default 14)
- RSI Overbought Level: Sell trigger threshold (default 70)
- RSI Oversold Level: Buy trigger threshold (default 30)
- Show EMA 200: Toggle the EMA line on/off
- Show Supertrend Bands: Toggle the Supertrend lines on/off
Group 2 — Auto Fibonacci Settings
- Pivot Depth: Number of bars to look back for swing detection (default 10). Lower = more sensitive, Higher = fewer but stronger pivots
- Reverse Fib Direction: Flips the Fib measurement direction
- Extend Left / Right: Controls how far Fib lines extend on the chart
- Show Prices: Displays exact price on each level label
- Show Level Values: Displays the Fib ratio on each level label
- Level Format: Choose between decimal values or percentage display
- Labels Position: Place labels on the Left or Right side
Group 3 — Fibonacci Levels
- Toggle each of the 11 levels individually
- Customize the value and color of every level
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ALERT CONDITIONS (6 Total)
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1. BUY Alert — fires on every confirmed Buy signal
2. SELL Alert — fires on every confirmed Sell signal
3. Any Signal — fires on either Buy or Sell
4. Fib 0.618 Cross — price crosses the Golden Ratio level
5. Fib 0.5 Cross — price crosses the midpoint level
6. Fib 0.382 Cross — price crosses the key retracement level
To activate: click the alarm clock icon on the indicator, select your desired condition, and set your notification method.
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HOW TO USE
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Step 1 — Identify trend direction using the EMA 200 and the background color. Green background means bullish bias; red background means bearish bias.
Step 2 — Watch for a BUY or SELL label to appear. This confirms all three conditions (EMA, Supertrend, RSI) have aligned.
Step 3 — Use the automatically drawn Fibonacci levels to plan your entry, stop loss, and take profit targets. Common setups: enter near the 0.382 or 0.5 retracement, target the 0 or -0.236 extension, stop below the 0.618 or 0.786 level.
Step 4 — Set alerts on your preferred Fibonacci levels to be notified when price reaches key zones.
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RECOMMENDED TIMEFRAMES
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- Scalping: 1m, 5m, 15m
- Intraday: 30m, 1H
- Swing Trading: 4H, Daily
- Position Trading: Weekly
The indicator adapts to any timeframe automatically.
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DISCLAIMER
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This indicator is a technical analysis tool designed to assist in identifying potential trading opportunities. It does not guarantee future results. Always apply proper risk management and conduct your own analysis before entering any trade. Past signal performance is not indicative of future results. Indicator
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Ichimoku Adaptive [Gabremoku]Ichimoku Adaptive is a full Ichimoku Cloud framework that combines the traditional Classic settings with an optional Adaptive mode that automatically scales the core Ichimoku periods according to market volatility.
The script keeps the original logic of the Ichimoku system — Tenkan, Kijun, Senkou Span A, Senkou Span B, Chikou, and Kumo structure — while adding a volatility-based adjustment engine that can make the framework more reactive or more stable depending on current conditions. The classical Ichimoku model is designed to show trend direction, momentum, and dynamic support/resistance in a single view.
What it shows
☁️ Full Ichimoku structure — Tenkan-sen, Kijun-sen, Senkou Span A, Senkou Span B, optional Chikou Span, and forward Kumo projection.
🧠 Classic or Adaptive mode — use standard Ichimoku parameters or let the indicator adjust its internal lengths according to ATR-based volatility behavior. Adaptive indicators are commonly designed to become more responsive or more conservative depending on changing volatility conditions.
🌈 Dynamic Kumo gradient — the cloud color and fill intensity vary based on bullish/bearish structure and cloud thickness.
🏷️ TK Cross signals — optional LONG and SHORT labels appear when Tenkan crosses above or below Kijun. Tenkan/Kijun crosses are widely used as Ichimoku signals and are often considered stronger when aligned with price position relative to the cloud.
🪧 Dashboard — displays mode, trend state, price vs Kumo location, Tenkan/Kijun relationship, active parameters, and ATR percentage.
📍 Last value labels — optional labels for Tenkan, Kijun, Span A, and Span B.
Core logic
This script is built around the classic Ichimoku reading process:
price vs cloud
Tenkan vs Kijun
future cloud structure
optional Chikou confirmation
In standard Ichimoku interpretation:
price above the cloud suggests bullish structure
price below the cloud suggests bearish structure
price inside the cloud suggests transition or indecision
This indicator keeps that framework intact, then extends it with an adaptive period engine.
Adaptive mode
In Classic mode, the script uses the traditional fixed settings:
Tenkan
Kijun
Senkou B
displacement
In Adaptive mode, those core lengths are scaled according to an ATR-based volatility ratio.
The idea is straightforward:
when volatility changes, fixed settings may become less efficient
adaptive scaling can make the Ichimoku framework more flexible across different environments
higher or changing volatility can justify a different sensitivity profile than calm market conditions
This does not replace classic Ichimoku logic — it simply changes the speed of the framework while keeping the same structural interpretation.
How to read it
A practical reading sequence is:
Check whether price is above, below, or inside the cloud.
Check whether Tenkan is above or below Kijun.
Observe whether the cloud is bullish or bearish.
Use TK crosses as triggers only after checking context.
In Adaptive mode, monitor how the active parameters shift as volatility changes.
In general:
Above Kumo + Tenkan > Kijun supports bullish trend logic.
Below Kumo + Tenkan < Kijun supports bearish trend logic.
Inside Kumo usually suggests weaker trend clarity or transition.
Features
✅ Full Ichimoku Cloud framework
✅ Classic fixed-parameter mode
✅ Adaptive ATR-based mode
✅ Configurable Tenkan / Kijun / Senkou B / displacement
✅ Dynamic Kumo gradient visualization
✅ Optional Tenkan, Kijun, Senkou A, Senkou B, and Chikou display
✅ TK cross signal labels
✅ Dashboard with live state information
✅ Last-value labels for key lines
✅ Built-in alert conditions for bullish and bearish TK crosses
Notes
This indicator is best used as a context and structure tool, not just as a crossover script. Ichimoku signals are generally stronger when multiple elements align, especially price position relative to the cloud, Tenkan/Kijun direction, and overall Kumo structure.
Author: Gabremoku
Pine Script v6 Indicator
Elliott Structure Pro RC [Gabremoku]Elliott Structure Pro RC is a market structure and wave-mapping overlay designed to detect candidate Elliott impulse patterns using pivot logic, ZigZag structure, validation rules, invalidation levels, and projected Fibonacci targets.
This script does not claim to produce definitive Elliott Wave counts. Instead, it scans recent pivot structure and highlights the most coherent bullish or bearish candidate sequence based on alternating swing logic, structural progression, and optional Elliott validation filters. That framing is important because Elliott Wave interpretation is inherently subjective, while the classic impulse model still relies on a few widely accepted structural rules.
What it shows
🔺 ZigZag market structure — the script builds a cleaned pivot path from swing highs and lows, filtering out smaller fluctuations to make structure easier to read. ZigZag-style logic is commonly used to reduce chart noise and highlight meaningful turning points.
🏷️ HH / HL / LH / LL tags — every pivot can be classified into higher high, higher low, lower high, or lower low structure, helping the user read trend progression directly from price swings.
🌊 Candidate Elliott 1–5 sequence — the script scans recent pivots and searches for the best bullish or bearish 5-wave impulse candidate.
❌ Invalidation tracking — once a candidate is found, the script projects an invalidation level and can flag when the structure has been broken.
🔤 Optional ABC correction — after a 5-wave sequence, the indicator can also look for a basic A-B-C corrective continuation.
📏 Fibonacci projections — projected target levels for Wave 3 and Wave 5 are plotted using configurable Fibonacci multipliers. Fibonacci extensions are commonly used in Elliott analysis to estimate probable Wave 3 and Wave 5 zones.
🪧 Dashboard — shows state, mode, pivot count, direction, validation strictness, ABC status, broken structure state, and target visibility.
Core logic
The script begins with pivot highs and pivot lows, then compresses them into a cleaner alternating sequence. From there, it builds a structural map and scans the most recent pivots to find a valid 6-point sequence that can represent a 5-wave bullish or bearish impulse candidate.
In practical terms, it combines:
market structure
ZigZag logic
Elliott candidate matching
rule-based validation
invalidation and target projection
That makes it useful as a structure-reading tool first, and an Elliott helper second.
Validation model
The script offers two operating styles:
Semplificato
Avanzato
In simplified mode, the indicator focuses more on structural coherence and swing progression. In advanced mode, it can apply stricter Elliott-style validation rules such as:
Wave 3 not shortest
Wave 4 no overlap with Wave 1 territory
invalid candidate marking when rules are not respected
Those rules align with widely cited core Elliott impulse rules. In standard impulse structures, Wave 3 may not be the shortest of Waves 1, 3, and 5, and Wave 4 should not overlap Wave 1 territory except in special formations such as certain diagonals.
Fibonacci targets
The indicator also projects two practical target references:
Wave 3 target
Wave 5 target
In Elliott analysis, Wave 3 is often projected using Fibonacci expansion of Wave 1, with 1.618 being one of the most common reference ratios, while Wave 5 is often estimated from prior impulse relationships or partial trend expansion logic.
Your script uses configurable multipliers, which is a good choice because different markets and timeframes can produce different expansion behaviors.
How to use
A practical workflow is:
Let the script identify the active pivot structure.
Check whether the chart is printing HH/HL or LH/LL logic.
Watch for a highlighted bullish or bearish 1–5 candidate.
Use the invalidation level to judge whether the count remains structurally valid.
Use projected Fib targets as reference zones, not guaranteed endpoints.
If enabled, monitor whether a simple ABC correction starts forming after the impulse.
This is best used as a decision-support overlay, especially for traders who already read market structure and want an automated way to visualize possible wave candidates.
Features
✅ Pivot-based market structure engine
✅ ZigZag overlay with configurable sensitivity
✅ HH / HL / LH / LL classification
✅ Candidate bullish and bearish Elliott impulse detection
✅ Simplified or advanced scan mode
✅ Optional strict Elliott validation
✅ Wave 3 not shortest filter
✅ Wave 4 overlap validation
✅ Broken-structure detection
✅ Invalidation level plotting
✅ Optional ABC correction detection
✅ Fibonacci Wave 3 / Wave 5 projections
✅ Dashboard and optional bar coloring
✅ Gradient-based swing visualization
Notes
This indicator is designed to identify candidate Elliott structures, not to replace discretionary wave analysis. Elliott interpretation is partly rule-based and partly interpretative, so projected counts and targets should always be confirmed with broader market context, price action, and risk management.
Author: Gabremoku
Pine Script v6 Indicator
AetherEdge - Contrastive Similarity Engine🖊️ Overview
The Contrastive Learning Similarity Engine is a pattern-matching engine inspired by the principles of contrastive learning (SimCLR). It encodes the current market state into a feature embedding, contrasts it against every past window via cosine similarity, and surfaces the closest historical analogue. When a high-similarity pattern is found, it overlays that analogue's subsequent price action onto the present as a translucent Ghost Chart — "last time this shape appeared, price did this."
🔶 Key Features
SimCLR-inspired contrastive similarity space: shape-based cosine matching
Adaptive feature weights: a contrastive adaptation that online-learns which features proved predictive
Top-K matching: extracts the several closest historical analogues
Ghost Chart overlay: projects the analogue's "what happened next," anchored at current price
Ghost-all-top-K: overlays multiple historical outcomes as a fan distribution
Match-origin marker: shows where in history the analogue occurred
Match-accuracy tracking: learns and displays how often high-similarity projections were correct
Exploratory palettes (Spectral Scan et al.) with an integrated HUD
🧠 Technical Architecture
This tool is a translation that realizes SimCLR's core idea within Pine, which has neither autodiff nor deep nets. The encoder converts a price window into successive log returns, then mean-removes and L2-normalizes them into a shape vector (capturing form, not absolute price, so it's level-independent). Matching computes the weighted cosine similarity between the current vector and every past window, extracting the best match and Top-K.
The contrastive learning layer checks, after an outcome horizon, whether the direction a high-similarity match projected was actually correct, then reinforces (pulling positives together) or attenuates (pushing misleading ones apart) the feature weights — an online realization of SimCLR's contrastive adaptation. Because compute is O(search depth × window length), it runs only on the last bar to avoid Pine's loop limit. The Ghost Chart applies the matched analogue's subsequent cumulative return to the current price, drawing it forward as translucent lines.
⚙️ Recommended Settings & Tuning Guide
Tuned with crypto in mind. Pattern Window 20 and Search Depth ~400 are a starting point. Min Similarity sets match strictness — 0.80+ accepts only strong matches with closely-aligned shapes. For short-term patterns use Pattern Window near 10; for larger structures near 40. Raising Search Depth explores richer history but is heavier — reduce it if slow. Enabling Ghost All Top-K reveals the spread of multiple historical outcomes rather than a single one.
💡 How to Use in Practice
The Ghost Chart visualizes how past analogous situations resolved, serving as a hypothesis for how the current pattern might resolve. When multiple Top-K ghosts converge in one direction, conviction in that direction is relatively higher; when they fan out widely, the same shape historically led to diverse outcomes — read as hard to predict. If the HUD's match accuracy stably exceeds 50%, it suggests pattern repetition carries predictive power on this instrument and timeframe. Overlaying with other structure tools and support/resistance, and favoring moments where the ghost's direction agrees with other evidence, is effective.
⚠️ Important Notes
This tool is SimCLR-inspired, not a true backprop-trained contrastive network; within Pine's constraints it reproduces the core idea in a feasible form. The Ghost Chart is a replay of past analogues, not a prediction — there is no guarantee the same shape leads to the same outcome. Matching runs only on the last bar and does not repaint confirmed history. Learning the feature weights requires accumulated data and cannot overcome the fundamental constraint of market predictability. Excessively large Search Depth may approach the runtime limit.
🚨 Disclaimer
This indicator is provided for educational and informational purposes only and does not constitute financial or investment advice. No match or ghost guarantees future prices, and past performance does not indicate future results. All trading decisions are made at your own risk. Indicator
AetherEdge - Generative Flow Synthesizer🖊️ Overview
The Generative Flow Synthesizer is a path-synthesis engine inspired by the principles of a Variational Autoencoder (VAE), learning the market's "generative distribution." It compresses past price action into a low-dimensional latent distribution, samples latent variables via the reparameterization trick, and synthesizes multiple future price paths from them. Unlike conventional tools that draw a single forecast line, it renders the very spread of plausible futures as a stream of generated samples flowing forward like particles.
🔶 Key Features
VAE-inspired generative model: encode (latent compression) → sample (reparameterization) → decode (path expansion)
Reparameterization trick: latent sampling via z = μ + σ·ε (identical math to a real VAE)
Central predicted flow: a deterministic mean path generated from the latent mean
Multiple generated sample paths: stochastic draws from the latent distribution stream forward like particles
Generative confidence band: a ±σ uncertainty envelope widening each step
Online-learned latent distribution: drift, volatility, and autocorrelation adapt via EWMA
Sampling temperature: control future spread from conservative to bold
Mean-reversion strength: tune from pure random walk to convergent paths
Generative/fluid palettes (Plasma Flow et al.) with particle fade toward the horizon
🧠 Technical Architecture
This tool is a translation that realizes the VAE's mathematical core within Pine, which lacks autodiff. The encoder extracts sufficient statistics from log returns — drift (mean), volatility (standard deviation), and autocorrelation (persistence) — and online-learns the latent distribution parameters (μ, logσ²) via EWMA, a Pine realization of the posterior an encoder network would learn.
The sampling stage is identical to a real VAE, drawing latent variables through the reparameterization trick z = μ + σ·ε (ε a standard normal via Box–Muller). The decoder expands each latent sample into a forward price path through a mean-reverting stochastic process r_t = z + φ·(r_{t-1} − z) + σ·temp·ε_t. Because each path uses its own random sequence, they diversify like particles. The central predicted flow is the deterministic mean path with the noise term removed; the confidence band is the ±σ envelope built from accumulated step variance.
⚙️ Recommended Settings & Tuning Guide
Tuned with crypto in mind. On BTC and ETH, Encoder Window 60 and Generation Horizon ~24 are a starting point. Sampling Temperature is the generative core — below 1 yields narrow, conservative futures; above 1, wide, bold exploration. In trends, lower Mean-Reversion Strength for freer paths; in ranges, raise it for convergent paths, matching the possibility distribution to market character. Number of Sample Paths trades visual richness against compute; ~12 is a good balance.
💡 How to Use in Practice
The central predicted flow serves as the model's most average future trajectory for reading trend bias. The spread of the sample paths (particle scatter) expresses uncertainty itself — tight scatter signals clear direction, wide scatter a hard-to-predict regime. The confidence band width offers an objective reference for stop placement and target setting. For multi-timeframe trading, pair a higher-timeframe generative flow with a lower timeframe for timing.
⚠️ Important Notes
This tool is VAE-inspired, not a true backprop-trained neural-network VAE; within Pine's constraints it reproduces the VAE's core principles in a feasible form. Generated paths are samples from a learned distribution, not predictions of the future — purely a visualization of the spread of possibilities. Generation occurs only on the last bar and does not repaint confirmed history. Learning the latent distribution requires accumulated data and cannot overcome the fundamental constraint of market predictability.
🚨 Disclaimer
This indicator is provided for educational and informational purposes only and does not constitute financial or investment advice. No generated path guarantees future prices, and past performance does not indicate future results. All trading decisions are made at your own risk. Indicator
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TRIX Chart DivergenceTRIX Chart Divergence is based on one of my favorite oscillators.
The main feature of this indicator is that TRIX divergences are drawn not only in the oscillator pane, but also directly on the price chart.
This makes divergence much easier to read, especially for intraday trading and scalping. Instead of looking back and forth between price and the oscillator, you can immediately see where price made a new high or low and where TRIX failed to confirm that move.
For me, this is the most useful way to work with TRIX.
A bullish divergence appears when price makes a lower low, but TRIX does not confirm that move and forms a higher low. A bearish divergence appears when price makes a higher high, but TRIX does not confirm it and forms a lower high.
This type of divergence can warn about a possible correction or trend reversal. I especially like watching TRIX divergences on higher timeframes, because they can mark important exhaustion points. The indicator includes alerts for bullish and bearish divergences, so you can monitor multiple instruments and timeframes without watching every chart all the time.
I also use TRIX on the 1-minute gold chart for intraday trading. On lower timeframes, I use it together with my own setups, price action, levels and other confirmation tools.
TRIX is simple and clean. When the TRIX line crosses the signal line in the lower area, it can show a possible bullish momentum shift. When the cross appears in the upper area, it can show a possible bearish momentum shift. In this indicator, bullish and bearish TRIX crosses are marked with small green and red dots.
TRIX does not have fixed overbought and oversold levels like RSI or Stochastic. That is why I added adaptive range levels. These levels show where TRIX is trading compared to its recent range. When TRIX moves outside this adaptive range, it can highlight stronger momentum extremes.
The adaptive range levels are optional. You can use the indicator in the classic way without them, or keep them on as an additional visual guide.
Main features:
- TRIX and signal line
- Histogram
- Small green and red dots on TRIX crossovers
- Bullish and bearish TRIX divergences
- Divergence lines in the oscillator pane
- Optional divergence lines directly on the price chart
- Optional adaptive TRIX range levels
- Alerts for TRIX crosses and divergences
Settings:
TRIX Length / Signal Length
Controls the basic TRIX calculation and signal line. Lower values make the oscillator more sensitive. Higher values make it smoother.
Adaptive Range Levels
Optional dynamic levels that show where TRIX is trading compared to its recent range. They can help identify stronger momentum extremes. You can turn them off if you prefer the classic TRIX view.
Range Lookback Bars
Defines how many previous bars are used to calculate the adaptive range. A larger value makes the range smoother and more stable. A smaller value makes it react faster.
Range Smoothing
Smooths the adaptive range levels.
TRIX Pivot Sensitivity
Controls how sensitive divergence detection is. Lower values find more divergences. Higher values show fewer but cleaner divergences.
Price Search Radius
Allows the script to search around the TRIX pivot and find the closest price high or low for drawing the divergence line.
Max Bars Between Points
Defines the maximum distance between two TRIX pivot points used for divergence detection.
Draw divergence line on TRIX
Shows the divergence line in the oscillator pane.
Draw divergence line on price chart
Shows the same divergence directly on the price chart.
Important:
This indicator is not a standalone trading system.
TRIX crosses and divergences are designed to help identify momentum shifts, exhaustion points and possible correction zones.
For best results, use it together with price action, support and resistance, trend structure, higher timeframe context and your own confirmation setup.
A divergence can warn about a possible correction or reversal, but it does not mean that price must reverse immediately. Indicator
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Confluence Conviction Engine [forexobroker]Confluence Conviction Engine runs a 4-factor confluence vote across regime, acceleration, signal, and momentum, then turns the net tally into a conviction score from -4 to +4. The unique angle is that a trade only fires when conviction meets a user threshold AND a reclaim-EMA cross prints in the same direction, so weak single-factor agreement is filtered out before any signal.
🔶 ALGORITHM
1. Factor 1 REGIME: +1 if price is above the slow regime EMA, -1 if below.
2. Factor 2 ACCELERATION: compute momentum as the N-bar price rate of change; +1 if its current value rose versus the prior bar, -1 if it fell.
3. Factor 3 SIGNAL: +1 if price is above the fast signal EMA, -1 if below.
4. Factor 4 MOMENTUM: +1 if RSI is above 50, -1 if below.
5. Net vote = sum of the four factor votes (range -4..+4). Conviction = absolute net vote; bias = sign of net vote.
6. With bias set and conviction at or above the minimum, a close crossover (long) or crossunder (short) of the reclaim EMA times the entry. Signals respect a bar cooldown, position-lock, and bar-close confirmation. Non-repainting.
🔶 SIGNAL LOGIC
- Buy: in-session AND bias = +1 AND conviction >= Min Conviction AND close crosses over the reclaim EMA AND position not already long AND cooldown elapsed AND barstate.isconfirmed (then position locks long).
- Sell: in-session AND bias = -1 AND conviction >= Min Conviction AND close crosses under the reclaim EMA AND position not already short AND cooldown elapsed AND barstate.isconfirmed (then position locks short).
- Only fires when net 4-factor conviction reaches the configured threshold.
🔶 INPUTS
- Conviction group: regime trend EMA for Factor 1; default Regime Trend EMA 50.
- Momentum length: ROC lookback whose change forms Factor 2 acceleration; default Momentum Length 12.
- Fast signal EMA: price-vs-EMA test for Factor 3; default Fast Signal EMA 9.
- RSI length: oscillator for the Factor 4 above/below-50 vote; default RSI Length 14.
- Min Conviction: required absolute net vote (1-4) to allow a trade; default Min Conviction 3.
- Volatility reference: ATR length for the dashboard reference; default ATR Length 14.
- Signal Logic group: entry reclaim EMA and cooldown; default Entry Reclaim EMA 9.
- Cooldown: minimum bars between signals; default Cooldown Bars 5.
- Filters group: optional session restriction and session window; default Restrict to Session off.
- Visual group: dashboard, 3-layer glow, reclaim EMA, buy/sell colors, dashboard background.
🔶 ALERTS
CCE Buy, CCE Sell, CCE Any Signal, CCE Full Bull, CCE Full Bear, CCE Edge On, CCE Bias Bull, CCE Bias Bear, CCE EMA Up, CCE EMA Down, CCE Vote Change, CCE RSI Mid, CCE Webhook JSON.
🔶 LIMITATIONS
- The slowest factor (regime EMA) needs its full length to stabilise, so early bars under-report conviction.
- Conviction measures present agreement among four factors; it is a confluence gauge, not a probability or forecast of the next move.
- All four factors are price-derived and can correlate during strong trends, so a full +/-4 vote is not four independent confirmations.
- Default lengths are tuned for liquid instruments; very low timeframes can produce rapid vote flips.
- Entries confirm on bar close, so the reclaim-EMA cross is acknowledged with one-bar lag versus intrabar price. Indicator
Tribulus & Ginseng PowerWhat is Tribulus & Ginseng Power?
Tribulus & Ginseng Power is an advanced inter-market macro strategy engine designed to identify institutional trend reversals and liquidity sweeps in high-volatility financial markets. Rather than analyzing an asset in isolation, this algorithm cross-examines live telemetry from three critical pillars of the crypto ecosystem simultaneously to confirm institutional dominance before executing order signals.
How the Multiverse Matrix Core Works:
The script acts as a command center analyzing three independent algorithmic engines:
The Main Asset Engine (M): Evaluates the selected chart using specialized swing detection, price action anomalies (Sushi Rolls), and premium kernel smoothing processes (Monalisa and UT Bot matrices) to find mathematical market exhaustion.
The Crypto Total Market Cap Engine (T): Requests live structural data behind the scenes from CRYPTOCAP:TOTAL to track whether global macro capital flow supports the localized trend breakout.
The Bitcoin Dominance Engine (D): Interrogates CRYPTOCAP:BTC.D to identify where global risk-on or risk-off sentiment is clustering (Bitcoin vs. Altcoins).
The Signal Breakdown Matrix:
By analyzing macro matrix alignments, the indicator prints institutional-tier alerts:
💎 PERFECT L: Global capital flows are expanding (TOTAL bullish), Bitcoin dominance matches, and the local chart confirms a bottom. High-probability premium bullish trigger.
🚀 ALT L (Altcoin Rally): Local price points upward while TOTAL cap rises and BTC.D drops, capturing the exact momentum shift where money floods into high-beta altcoins.
🩸 CRASH S: Direct macro distribution model. Major capitals are exiting the ecosystem while charts break local liquidity floors.
⚡ EARLY L / S (Early Macro Alignment): Fires instantly when the global macro telemetry matrices align before the local price reflects it, offering professional early entries before the momentum candle arrives.
Optimal Environments & Parameters:
Premium Assets: Highly volatile majors (BTC, ETH, high-cap layer-1 protocols) and major indices (NAS100, SPX).
Ideal Timeframes: Curated natively for 1-Hour (1h) and 4-Hour (4h) charts for long-form matrix confirmation. Can be scaled down to 15-Minute (15m) charts for intra-day trading.
Automation Ready: Configured with a stateful position lifecycle manager fully optimized for WunderTrading, 3Commas, or private server webhook routing. If a counter-signal is triggered, the system automatically executes a Close-First, Open-Next alert sequence to prevent cross-order jams on the exchange. Indicator
