S&R Zones + Signals V6.4 (Rejection & Break)This indicator is to trigger once the Candle go into the Zone, get rejection and Break
Analyse de la tendance
Smart Trend IndicatorThis indicator is a decisive tool for identifying the trend of the script.
This trend identifies any change in trend as early as possible.
The indicator works ideally if a pivot or a prior pivot is broken, taking in consideration the EMA 21 and EMA 50 as fast and slow indicators respectively.
The indicator also uses a candle stick holding method to disregard and up and down moves created by volatility which would be a false indication on the chart.
A Combination of indicators such as ichimokou, Ema cross over, holding method and pivot methods make this indicator work as perfectly as possible.
MTF rsi/stoch imdI just built this indicator.
It displays a multi-timeframe (MTF) table directly on the chart, showing Stoch RSI K and RSI values per timeframe.
Cell background colors are driven by predefined value ranges, while text color turns green or red depending on whether the value is rising or falling compared to the previous candle on the same timeframe.
The RSI color conditions are based on the levels 36, 46, 56, and 65.
The Timeframe Pack selector works as follows:
Pack 1 (BNC): 3m, 9m, 27m, 1h, 81m, 3h, 9h, 12h, 1D, 3D, 1W, 9D
Pack 2: 1h through 24h
Pack 3: 1D through 24D
Pack 4 (Custom): fully user-defined timeframes via the 24 slots
Only when Pack 4 (Custom) is selected do the custom timeframe slots apply; in Packs 1–3 they are ignored.
All visual behavior (box colors, text colors, transparency, or a single-color override) is configurable under Style, and the entire table can be toggled on or off.
Adaptive Trend-Based Fib Extension + TrendlinesThis advanced analysis tool is designed to take the guesswork out of Fibonacci trading. By combining Adaptive Fibonacci Extensions with multi-method Pivot Detection, Dynamic Trendlines, and Horizontal Support/Resistance, this indicator provides a comprehensive roadmap for any market trend.
Learn volume trading - @pricevolumetraders
Key Features
Adaptive Fibonacci Engine: Unlike static tools, this indicator uses an ATR-based adaptive factor to adjust extension levels according to current market volatility.
Smart Trend Detection: Automatically identifies trend direction using EMA cross-overs or Higher High/Higher Low sequences to determine whether to plot Bullish or Bearish extensions.
Multi-Method Pivots: Choose from six different pivot detection methods, including Volume-Based, Fractal, ATR-Based, and Long Wick detection, to suit your specific trading style.
Automated Trendlines & S/R: High-probability diagonal trendlines and horizontal S/R levels are drawn only when they meet a minimum "touch" requirement and volume confirmation.
Institutional Zones: Highlights the "Golden Zone" between the 127.2% and 161.8% extension levels, where trends often reach exhaustion or find major targets.
How to Use
Trend Alignment: Use the built-in Dashboard to quickly identify the current trend (Bull/Bear) and RSI momentum.
The 3-Point Setup: The indicator automatically finds Point 1 (Trend Start), Point 2 (Impulse End), and Point 3 (Retracement/Last Touch) to project future price targets.
Entry Confirmation: Look for price action near the 61.8% or 78.6% Retracement levels for high-probability entries in the direction of the trend.
Targeting: Use the extension levels (100%, 127.2%, 161.8%) as your primary Take Profit zones.
Confluence: The strongest setups occur when a Fibonacci level aligns perfectly with a Horizontal S/R line or a Diagonal Trendline.
Technical Settings
Pivot Settings: Adjust 'Left' and 'Right' bars to change the sensitivity of swing high/low detection.
Fib Timeframe: You can anchor Fibonacci levels to a higher timeframe (e.g., 1-hour levels) while trading on a lower timeframe (e.g., 5-minute).
Volume Multiplier: Filter for horizontal levels that were formed with significant institutional volume.
Disclaimer: Trading involves significant risk. This tool is for educational and analytical purposes only and should be used in conjunction with a complete trading plan.
BK AK-Zenith💥 Introducing BK AK-ZENITH — Adaptive Rhythm RSI for Peak/Valley Warfare 💥
This is not another generic RSI. This is ZENITH: it measures where momentum is on the scale, then tells you when it’s hitting extremes, when it’s turning, and when price is lying through its teeth with divergence.
At its core, ZENITH does one thing ruthlessly well:
it matches the oscillator’s period to the market’s current rhythm—adaptive when the market is fast, adaptive when the market is slow—so your signals stop being “late because the settings were wrong.”
🎖 Full Credit — Respect the Origin (AlgoAlpha)
The core RSI architecture in this form belongs to AlgoAlpha—one of the best introducers and coders on TradingView. They originated this adaptive/Rhythm-RSI framework and the way it’s presented and engineered.
BK AK-ZENITH is my enhancement layer on top of AlgoAlpha’s foundation.
I kept the spine intact, and I added tactical systems: clearer Peak/Valley warfare logic, pivot governance (anti-spam), divergence strike markers, momentum flip confirmation, and a war-room readout—so it trades like a weapon, not a toy.
Respect where it started: AlgoAlpha built the engine. I tuned it for battlefield use.
🧠 What Exactly is BK AK-ZENITH?
BK AK-ZENITH is an Adaptive Period RSI (or fixed if you choose), designed to read momentum like a range of intent rather than a single overbought/oversold gimmick.
Core Systems Inside ZENITH
✅ Adaptive Period RSI (Rhythm Engine)
Automatically adjusts its internal RSI length to match current market cadence.
(Optional fixed length mode if you want static.)
✅ Optional HMA Smoothing
Cleaner shape without turning it into a laggy moving average.
✅ Peak / Valley Zones (default 80/20)
Hard boundaries that define “true extremes” so you stop treating every wiggle like a signal.
✅ Pivot-Based BUY/SELL Triangles + Cooldown
Signals are governed by pivots and a cooldown so it doesn’t machine-gun trash.
✅ Momentum Flip Diamonds (◇)
Shows when the oscillator’s slope flips—clean confirmation for “engine change.”
✅ Divergence Lightning (⚡)
Exposes when price is performing confidence while momentum is quietly breaking.
✅ War-Room Table / Meter
Bias, zone, reading, and adaptive period printed so you don’t “interpret”—you execute.
✅ Alerts Suite
Pivots, divergences, zone entries—so the chart calls you, not your emotions.
🎯 How to use it (execution rules)
1) Zones = permission
Valley (≤ Valley level): demand territory. Stalk reversal structure; stop chasing breakdown candles.
Peak (≥ Peak level): supply territory. Harvest, tighten, stop adding risk at the top.
2) Pivot triangles = the shot clock
Your ▲/▼ signals are pivot-confirmed with a cooldown. That’s intentional.
This is designed to force patience and prevent overtrading.
3) Divergence = truth serum
When price makes the “confident” high/high or low/low but ZENITH disagrees, you’re seeing internal change before the crowd does.
Treat divergence as warning + timing context, not a gambling button.
4) Meter/Table = discipline
If you can’t summarize the state in one glance, you’ll overtrade. ZENITH prints the state so your brain stops inventing stories.
🔧 Settings that actually matter
Adaptive Period ON (default): the whole point of ZENITH
Peak/Valley levels: how strict extremes must be
Pivot strength + Cooldown: your anti-spam governor
Divergence pivot length: controls how “major” divergence must be
The “AK” in the name is an acknowledgment of my mentor A.K. His standards—patience, precision, clarity, emotional control—are why this tool is built with governors instead of hype.
And above all: all praise to Gd—the true source of wisdom, restraint, and right timing.
👑 King Solomon Lens — ZENITH Discernment
Solomon asked Gd for something most people never ask for: not wealth, not victory—discernment. The ability to separate what looks true from what is true.
That is exactly what momentum work is supposed to do.
1) Honest weights, honest measures.
In Solomon’s world, crooked scales were an abomination because they disguised reality. In trading, the crooked scale is your own excitement: you see one green candle and call it strength. ZENITH forces an honest measure—0 to 100—so you deal in degree, not drama. A Peak is not “bullish.” A Peak is “momentum priced in.” A Valley is not “bearish.” A Valley is “selling pressure reaching exhaustion.”
2) Wisdom adapts to seasons.
Solomon’s order wasn’t chaos—there was a time to build, a time to harvest, a time to wait. Markets have seasons too: trend seasons, chop seasons, compression seasons, expansion seasons. Fixed-length RSI pretends every season is the same. ZENITH does not. It listens for rhythm and adjusts its internal timing so your read stays relevant to today’s market tempo—not last month’s.
3) The sword test: revealing what’s hidden.
Solomon’s most famous judgment wasn’t about theatrics—it was about revealing the truth beneath appearances. Divergence is that same test in markets: price can perform strength while the engine quietly weakens, or perform weakness while momentum secretly repairs. The ⚡ is not a prophecy. It’s a revelation: “what you see on price is not the full story.”
That’s ZENITH discipline: measure → discern → execute.
And may Gd bless your judgment to act only when the measure is clean.
⚔️ Final
BK AK-ZENITH is a momentum fire-control system: adaptive rhythm + extreme zones + pivot timing + divergence truth.
Use it to stop feeling trades and start weighing them. Praise to Gd always. 🙏
STUDENT WYCKOFF Volume ClimaxSTUDENT WYCKOFF Volume Climax highlights potential buying and selling climaxes by combining abnormally high volume with wide spread bars.
It is a simple Wyckoff-style tool that helps you see where effort (volume) and result (spread) reached extreme levels and may signal exhaustion or stopping action.
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1. Concept
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The script looks for bars where:
• Volume is many times higher than its recent average.
• The spread (high–low range) is much wider than usual.
• The candle has a real body (not a tiny doji).
• The bar is fully confirmed (closed).
Such bars are marked as:
• **BC (Buying Climax)** – wide up bar on very high volume.
• **SC (Selling Climax)** – wide down bar on very high volume.
The idea is not to call exact tops or bottoms, but to mark places on the chart where effort and result spike together, so you can then judge context, background and next bars in the Wyckoff sense.
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2. How the indicator works
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Inputs:
• Volume lookback – number of bars used for the average volume.
• Spread lookback – number of bars used for the average spread (high–low).
• Volume multiplier – how many times above the average volume a bar must reach to be considered “climactic”.
• Spread multiplier – how many times above the average spread the bar’s range must be.
• Min body / spread – minimum body size as a fraction of spread (0–1) to filter out near-doji candles.
Internally the script calculates:
• Range = high − low.
• Average volume = SMA(volume, volume lookback).
• Average spread = SMA(range, spread lookback).
• Body fraction = |close − open| / range.
A bar is a **climax bar** only if:
1) Volume > averageVolume × volumeMultiplier,
2) Spread > averageSpread × spreadMultiplier,
3) BodyFraction ≥ Min body / spread,
4) Bar is closed (barstate.isconfirmed).
Classification:
• If close > open → **Buying Climax (BC)**.
• If close < open → **Selling Climax (SC)**.
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3. Visuals
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The indicator works in a separate pane (overlay = false) and shows:
1) **Histogram in the subwindow**
• Value = Volume / AverageVolume (ratio).
• 1.0 line marks average volume.
• Bars are colored:
– Green for BC,
– Red for SC,
– Neutral grey for all other bars.
2) **Labels on price with force overlay**
• On BC bars a small “BC” label is plotted above the bar high.
• On SC bars a small “SC” label is plotted below the bar low.
• Labels are drawn with `force_overlay=true`, so they appear directly on the price chart even though the indicator itself is in the lower pane.
All signals are generated **only on bar close** to reduce repainting behaviour. The last, still forming bar is not treated as a confirmed climax.
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4. How to use it
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Typical applications:
• Wyckoff-style reading of climactic action
– Look for BC near potential buying climaxes in up moves, especially after long rallies or in the last part of a trend.
– Look for SC near potential selling climaxes after panics or shake-outs.
• Effort vs Result analysis
– Ask whether the market gets a lot of “effort” (volume + wide spread) but then fails to continue in the same direction.
– Pay attention to the next 1–3 bars after a BC/SC: is there follow-through or immediate failure?
• Scanning for zones of interest
– On higher timeframes BC/SC can highlight areas worth marking as potential stopping, climactic or reversal zones.
– On intraday timeframes they can show where very aggressive activity hit the tape (news, open/close auctions, liquidations).
The labels and histogram are **not** trading signals by themselves. They are context markers that tell you: “Here was a big push with big spread; now check structure, background and test behaviour.”
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5. Notes and disclaimer
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• Works on any symbol and timeframe available on TradingView.
• Uses only standard built-in volume and price data; no exotic calculations.
• Signals are calculated on confirmed bars with `barstate.isconfirmed`, so they do not repaint after the bar closes.
This script is published for educational and analytical purposes only.
It does not constitute financial or investment advice and does not guarantee any performance. Always test your ideas, understand the logic behind your tools and use proper risk management.
BTC ETF Average Inflow Cost BasisConcept
Since the historic launch of Bitcoin Spot ETFs on January 11, 2024, institutional flows have become a major driver of price action. This indicator aims to visualize the aggregate Cost Basis (average entry price) of the major Bitcoin ETFs relative to the underlying asset.
It serves as an on-chain proxy for institutional positioning, helping traders identify critical support levels where ETF inflows have historically concentrated.
How it Works
The script aggregates daily volume data from the top Bitcoin ETFs (IBIT, FBTC, ARKB, GBTC, BITB) and compares it against the Bitcoin price (BTCUSDT).
ETF Cost Basis (Pink Line):
This is calculated as a Cumulative Volume-Weighted Average Price (VWAP), anchored specifically to the ETF launch date (Jan 11, 2024).
Formula: It accumulates (BTC Price * Total ETF Volume) and divides it by the Cumulative Total ETF Volume.
This creates a dynamic level representing the "breakeven" price for the aggregate volume traded through these funds.
True Market Mean (Gray Line):
This represents the simple cumulative average of the Bitcoin price since the ETF launch date. It acts as a neutral baseline for the post-ETF market era.
How to Use
Institutional Support: The Cost Basis line often acts as a strong dynamic support level during corrections. When price revisits this level, it suggests the market is returning to the average institutional entry price.
Trend Filter:
Price > Cost Basis: The market is in a net profit state relative to ETF flows (Bullish/Trend continuation).
Price < Cost Basis: The market is in a net loss state (Bearish/Capitulation risk).
Confluence: The intersection of the Cost Basis and the True Market Mean can signal pivotal moments of trend reset.
Features
Data Aggregation: Pulls data from 5 major ETFs via request.security without repainting (using closed bars).
Dashboard: Includes a table in the top-right corner displaying real-time values for Price, Cost Basis, and Market Mean.
Customization: You can toggle individual ETF Moving Averages in the settings (disabled by default due to price scale differences between BTC and ETF shares).
Disclaimer
This tool is for educational purposes only and attempts to estimate institutional cost basis using volume proxies. It does not represent financial advice.
Quasimodo (QML) Pattern [Kodexius]Quasimodo (QML) Pattern is a market structure indicator that automatically detects Bullish and Bearish Quasimodo formations using confirmed swing pivots, then visualizes the full structure directly on the chart. The script focuses on the classic liquidity-grab narrative of the QML: a sweep beyond a prior swing (the Head) followed by a decisive market structure break (MSB), leaving behind a clearly defined reaction zone between the Left Shoulder and the Head.
Detection is built on pivot highs and lows, so patterns are evaluated only after swing points are validated. Once a valid 4 pivot sequence is identified, the indicator draws the pattern legs, highlights the internal triangle area to emphasize the grab, marks the MSB leg, and projects a QML zone that can be used as a potential area of interest for retests.
This tool is designed for traders who work with structure, liquidity concepts, and reversal/continuation triggers, and who want a clean, repeatable QML visualization without manually marking swings.
🔹 Features
🔸 Confirmed Pivot Based Structure Mapping
The script uses classic built-in pivot logic to detect swing highs and swing lows.
🔸 Automatic Bullish and Bearish QML Detection
The indicator evaluates the most recent 4 pivots and checks for a valid alternating sequence (High-Low-High-Low or Low-High-Low-High). When the sequence matches QML requirements, the script classifies the setup as bullish or bearish:
Bullish logic (structure reversal up):
- Left Shoulder is a pivot Low
- Head is a lower Low than the Left Shoulder (liquidity sweep)
- MSB pivot exceeds the Reaction pivot
Bearish logic (structure reversal down):
- Left Shoulder is a pivot High
- Head is a higher High than the Left Shoulder (liquidity sweep)
- MSB pivot breaks below the Reaction pivot
🔸 Full Pattern Visualization (Legs + Highlighted Core)
When a pattern triggers, the script draws:
Three main legs: Left Shoulder to Reaction, Reaction to Head, Head to MSB
A shaded triangular highlight over the internal structure to make the liquidity-grab shape easy to spot at a glance
🔸 QML Zone Projection
A QML Zone box is drawn using the price range defined between the Left Shoulder and the Head, then extended to the right to remain visible as price develops. This zone is intended to act as a practical reference area for potential retests and reaction planning after MSB confirmation.
🔸 MSB Emphasis
A dotted MSB line is drawn between the Reaction point and the MSB point to visually emphasize the confirmation leg that completes the pattern logic.
🔸 Clean Point Tagging and Directional Labeling
Key points are labeled directly on the chart:
- “LS” at the Left Shoulder
- “Head” at the sweep pivot
- “MSB” at the break pivot
A directional label (“Bullish QML” or “Bearish QML”) is also printed to quickly identify the detected bias.
🔸 Configurable Visual Style
All main visual components are user configurable:
- Bullish and bearish colors
- Line width
- Label size
🔸 Efficient Update Logic
Pattern checks are only performed when a new pivot is confirmed, avoiding unnecessary repeated calculations on every bar. The most recent pattern’s projected elements (zone and label positioning) are updated as new bars print to keep the latest setup readable.
🔹 Calculations
This section summarizes the core logic used for detection and plotting.
1. Pivot Detection (Swing Highs and Lows)
The script relies on confirmed pivots using the user inputs:
Left Bars: how many bars must exist to the left of the pivot
Right Bars: how many bars must exist to the right to confirm it
float ph = ta.pivothigh(leftLen, rightLen)
float pl = ta.pivotlow(leftLen, rightLen)
When a pivot is confirmed, its true bar index is the pivot bar, not the current bar, so the script stores:
bar_index
2. Pivot Storage and History Window
Each pivot is stored as a structured object containing:
- price
- index
- isHigh (true for pivot high, false for pivot low)
A rolling history is maintained (up to 50 pivots) to keep processing stable and memory usage controlled.
3. Sequence Validation (Alternation Check)
The pattern evaluation always uses the latest 4 pivots:
p0: Left Shoulder candidate
p1: Reaction candidate
p2: Head candidate
p3: MSB candidate
Before checking bullish/bearish rules, the script enforces alternating pivot types:
bool correctSequence =
(p0.isHigh != p1.isHigh) and
(p1.isHigh != p2.isHigh) and
(p2.isHigh != p3.isHigh)
This prevents invalid structures like consecutive highs or consecutive lows from being interpreted as QML.
4. Bullish QML Conditions
A bullish QML is evaluated when the Left Shoulder is a Low:
Head must be lower than Left Shoulder (sweep)
MSB must be higher than Reaction (break)
if not p0.isHigh
if p2.price < p0.price and p3.price > p1.price
// Bullish QML confirmed
Interpretation:
p2 < p0 represents the liquidity grab below the prior swing low
p3 > p1 represents the market structure break above the reaction high
5. Bearish QML Conditions
A bearish QML is evaluated when the Left Shoulder is a High:
Head must be higher than Left Shoulder (sweep)
MSB must be lower than Reaction (break)
if p0.isHigh
if p2.price > p0.price and p3.price < p1.price
// Bearish QML confirmed
Interpretation:
p2 > p0 represents the liquidity grab above the prior swing high
p3 < p1 represents the market structure break below the reaction low
6. Drawing Logic (Structure, Highlight, Zone, Labels)
When confirmed, the script draws:
Three connecting legs (LS to Reaction, Reaction to Head, Head to MSB)
A shaded triangle using a transparent “ghost” line to enable filling
A dotted MSB emphasis line between Reaction and MSB
A QML Zone box spanning the LS to Head price range and projecting to the right
Point labels: LS, Head, MSB
A direction label: “Bullish QML” or “Bearish QML”
7. Latest Pattern Extension
To keep the newest setup readable, the script updates the most recently detected pattern by extending its projected elements as new bars print:
QML zone right edge is pushed forward
The main label x position is pushed forward
This keeps the last identified QML zone visible as price evolves, without having to redraw historical patterns on every bar.
FVG Heatmap [Hash Capital Research]FVG Map
FVG Map is a visual Fair Value Gap (FVG) mapping tool built to make displacement imbalances easy to see and manage in real time. It detects 3-candle FVG zones, plots them as clean heatmap boxes, tracks partial mitigation (how much of the zone has been filled), and summarizes recent “fill speed” behavior in a small regime dashboard.
This is an indicator (not a strategy). It does not place trades and it does not publish performance claims. It is a market-structure visualization tool intended to support discretionary or systematic workflows.
What this script detects
Bullish FVG (gap below price)
A bullish FVG is detected when the candle from two bars ago has a high below the current candle’s low.
The zone spans from that prior high up to the current low.
Bearish FVG (gap above price)
A bearish FVG is detected when the candle from two bars ago has a low above the current candle’s high.
The zone spans from the current high up to that prior low.
What makes it useful
Heatmap zones (clean, readable FVG boxes)
Bullish zones plot below price. Bearish zones plot above price.
Partial fill tracking (mitigation progress)
As price trades back into a zone, the script visually shows how much of the zone has been filled.
Mitigation modes (your definition of “filled”)
• Full Fill: price fully trades through the zone
• 50% Fill: price reaches the midpoint of the zone
• First Touch: price touches the zone one time
Optional auto-cleanup
Optionally remove zones once they’re mitigated to keep the chart clean.
Fill-Speed Regime Dashboard
When zones get mitigated, the script records how many bars it took to fill and summarizes the recent environment:
• Average fill time
• Median fill time
• % fast fills vs % slow fills
• Regime label: choppy/mean-revert, trending/displacement, or mixed
How to use
Use FVG zones as structure, not guaranteed signals.
• Bullish zones are often watched as potential support on pullbacks.
• Bearish zones are often watched as potential resistance on rallies.
The fill-speed dashboard helps provide context: fast fills tend to appear in more rotational conditions, while slow fills tend to appear in stronger trend/displacement conditions.
Alerts
Bullish FVG Created
Bearish FVG Created
Notes
FVGs are not guaranteed reversal points. Fill-speed/regime is descriptive of recent behavior and should be treated as context, not prediction. On realtime candles, visuals may update as the bar forms.
Arbitrage Detector [LuxAlgo]The Arbitrage Detector unveils hidden spreads in the crypto and forex markets. It compares the same asset on the main crypto exchanges and forex brokers and displays both prices and volumes on a dashboard, as well as the maximum spread detected on a histogram divided by four user-selected percentiles. This allows traders to detect unusual, high, typical, or low spreads.
This highly customizable tool features automatic source selection (crypto or forex) based on the asset in the chart, as well as current and historical spread detection. It also features a dashboard with sortable columns and a historical histogram with percentiles and different smoothing options.
🔶 USAGE
Arbitrage is the practice of taking advantage of price differences for the same asset across different markets. Arbitrage traders look for these discrepancies to profit from buying where it’s cheaper and selling where it’s more expensive to capture the spread.
For begginers this tool is an easy way to understand how prices can vary between markets, helping you avoid trading at a disadvantage.
For advanced traders it is a fast tool to spot arbitrage opportunities or inefficiencies that can be exploited for profit.
Arbitrage opportunities are often short‑lived, but they can be highly profitable. By showing you where spreads exist, this tool helps traders:
Understand market inefficiencies
Avoid trading at unfavorable prices
Identify potential profit opportunities across exchanges
As we can see in the image, the tool consists of two main graphics: a dashboard on the main chart and a histogram in the pane below.
Both are useful for understanding the behavior of the same asset on different crypto exchanges or forex brokers.
The tool's main goal is to detect and categorize spread activity across the major crypto and forex sources. The comparison uses data from up to 19 crypto exchanges and 13 forex brokers.
🔹 Forex or Crypto
The tool selects the appropriate sources (crypto exchanges or forex brokers) based on the asset in the chart. Traders can choose which one to use.
The image shows the prices and volumes for Bitcoin and the euro across the main sources, sorted by descending average price over the last 20 days.
🔹 Dashboard
The dashboard displays a list of all sources with four main columns: last price, average price, volume, and total volume.
All four columns can be sorted in ascending or descending order, or left unsorted. A background gradient color is displayed for the sorted column.
Price and volume delta information between the chart asset and each exchange can be enabled or disabled from the settings panel.
🔹 Histogram
The histogram is excellent for visualizing historical values and comparing them with the asset price.
In this case, we have the Euro/U.S. Dollar daily chart. As we can see, the unusual spread activity detected since 2016, with values at or above 98%, is usually a good indication of increased trader activity, which may result in a key price area where the market could turn around.
By default, the histogram has the gradient and smoothing auto features enabled.
The differences are visible in the chart above. On top is an adaptive moving average with higher values for unusual activity. At the bottom is an exponential moving average with a length of 9.
The differences between the gradient and solid colors are evident. In the first case, the colors are in sync with the data values, becoming more yellow with higher values and more green with lower values. In the second case, the colors are solid and only distinguish data above or below the defined percentiles.
🔶 SETTINGS
Sources: Choose between crypto exchanges, forex brokers, or automatic selection based on the asset in the chart.
Average Length: Select the length for the price and volume averages.
🔹 Percentiles
Percentile Length: Select the length for the percentile calculation, or enable the use of the full dataset. Enabling this option may result in runtime errors due to exceeding the allotted resources.
Unusual % >: Select the unusual percentile.
High % >: Select the high percentile.
Typical % >: Select the typical percentile.
🔹 Dashboard
Dashboard: Enable or disable the dashboard.
Sorting: Select the sorting column and direction.
Position: Select the dashboard location.
Size: Select the dashboard size.
Price Delta: Show the price difference between each exchange and the asset on the chart.
Volume Delta: Show the volume difference between each exchange and the asset on the chart.
🔹 Style
Unusual: Enable the plot of the unusual percentile and select its color.
High: Enable the plot of the high percentile and select its color.
Typical: Enable the plot of the typical percentile and select its color.
Low: Select the color for the low percentile.
Percentiles Auto Color: Enable auto color for all plotted percentiles.
Histogram Gradient: Enable the gradient color for the histogram.
Histogram Smoothing: Select the length of the EMA smoothing for the histogram or enable the Auto feature. The Auto feature uses an adaptive moving average with the data percent rank as the efficiency ratio.
QUANT TRADING ENGINE [PointAlgo]Quant Trading Engine is a quantitative market-analysis indicator that combines multiple statistical factors to study trend behavior, mean reversion, volatility, execution efficiency, and market stability.
The indicator converts raw price behavior into standardized signals to help evaluate directional bias and risk conditions in a systematic way.
This script focuses on factor alignment and regime awareness, not prediction certainty.
Design Philosophy
Markets move through different regimes such as trending, ranging, volatile expansion, and instability.
This indicator attempts to model these regimes by blending:
Momentum strength
Mean-reversion pressure
Volatility risk
Trend filtering
Execution context (VWAP)
Correlation structure
Each component is normalized and combined into a single Quant Alpha framework.
Factor Construction
1. Momentum Factor
Measures directional strength using percentage price change over a rolling window.
Standardized using mean and standard deviation.
Represents trend continuation pressure.
2. Mean Reversion Factor
Measures deviation from a longer moving average.
Standardized to identify stretched conditions.
Designed to capture counter-trend behavior.
Directional Clamping
Mean-reversion signals are dynamically restricted:
No counter-trend buying during downtrends.
No counter-trend selling during uptrends.
Allows both sides only in neutral regimes.
This prevents conflicting signals in strong trends.
3. Volatility Factor
Uses realized volatility derived from price changes.
Penalizes environments where volatility deviates significantly from its norm.
Acts as a risk adjustment rather than a directional driver.
4. Composite Quant Alpha
The final Quant Alpha is a weighted blend of:
Momentum
Mean reversion (trend-clamped)
Volatility risk
The composite is standardized into a Z-score, allowing consistent interpretation across instruments and timeframes.
Signal Logic
Buy signal occurs when Quant Alpha crosses above zero.
Sell signal occurs when Quant Alpha crosses below zero.
Zero-cross logic is used to represent shifts from negative to positive statistical bias and vice versa.
Signals reflect statistical regime change, not trade instructions.
Volatility Smile Context
Measures price deviation from its statistical distribution.
Identifies skewed conditions where upside or downside volatility becomes dominant.
Highlights extreme deviations that may imply elevated derivative risk.
Exotic Risk Conditions
Detects sudden price expansion combined with volatility spikes.
Highlights environments where execution and risk become unstable.
Visual background cues are used for awareness only.
Execution Context (VWAP)
Measures price distance from VWAP.
Used to assess execution efficiency rather than direction.
Helps identify stretched conditions relative to average traded price.
Correlation Structure
Evaluates short-term return correlations.
Detects when price behavior becomes less predictable.
Flags structural instability rather than trend direction.
Visualization
The indicator plots:
Quant Alpha (scaled) with directional coloring
Volatility smile deviation
Price vs VWAP distance
Correlation structure
Signal markers indicate Quant Alpha zero-cross events and risk conditions.
Dashboard
A compact dashboard summarizes:
Trend filter state
Quant Alpha polarity and value
Individual factor readings
Current action state (Buy / Sell / Wait / Risk)
The dashboard provides a real-time snapshot of internal model conditions.
Usage Notes
Designed for analytical interpretation and research.
Best used alongside price action and risk management tools.
Factor behavior depends on instrument liquidity and volatility.
Not optimized for illiquid or irregular markets.
Disclaimer
This script is provided for educational and analytical purposes only.
It does not provide financial, investment, or trading advice.
All outputs should be independently validated before making any trading decisions.
Options SL/TP Price Projection Sim + Day Trading/Scalping Toolwww.tradingview.com
📌 What this indicator does
This indicator projects what your option contract will be worth when the stock reaches your Stop Loss or Take Profit — before price gets there.
Instead of guessing:
“How much will this option be worth if price hits my stop?”
“Is this move actually worth the risk in option dollars?”
You get instant, realistic option price estimates at your exact stock levels.
⚙️ How it works (simple but powerful)
The script uses a local delta + gamma approximation to estimate option price changes:
Delta → linear price sensitivity
Gamma → curvature for fast moves
Optional execution friction → realistic fills
Automatic Call / Put detection via delta sign
Enforced $0.01 minimum option price (real market behavior)
This is not a slow academic options model — it’s a trader-grade approximation designed for speed and clarity.
🚀 Designed specifically for DAY TRADING
This tool is optimized for:
Options scalping
Momentum trades
Breakouts & flushes
0DTE / weekly options
Holding times ~3–15 minutes
Why it excels here:
Delta + gamma dominate option pricing on fast moves
IV and theta usually don’t have time to fully reprice
You get actionable numbers, not theoretical noise
This is exactly the environment most option day traders operate in.
🧠 Key Features
✅ Projects option price at BOTH SL and TP
✅ Works for calls & puts automatically
✅ Enter any two stock levels — script assigns SL/TP correctly
✅ Clean, black HUD table (no clutter, no moving drawings)
✅ Non-draggable, stable price levels
✅ Minimal inputs — no overengineering
✅ Built for speed under pressure
🎯 Why this is effective
Most traders manage risk in stock points , but trade options .
This indicator bridges that gap.
It lets you:
Judge true risk/reward in option dollars
Avoid “looks good on the chart, bad on the premium”
Compare setups objectively
Size trades more intelligently
Make faster, more confident decisions
It’s especially useful when spreads, gamma, and fast tape make intuition unreliable.
🧼 Philosophy: Clean > Complicated
This script intentionally avoids:
Full Black-Scholes modeling
IV forecasting
Overloaded settings
Visual clutter
Instead, it focuses on what matters for day traders:
“If price gets here quickly, what should my option be worth?”
⚠️ Important Notes
Best accuracy for fast, clean moves
Not intended for multi-hour holds or swing trading
Assumes relatively stable IV over short horizons
Execution friction is configurable to match real fills
Used correctly, this becomes a powerful decision-support tool, not a prediction engine.
✅ Who this indicator is for
Options day traders
Scalpers
Momentum traders
Anyone trading options off stock price levels
If you trade options intraday and manage risk using stock levels, this tool was built exactly for you.
Dolar MEP Implicito de CEDEARs y ADRs**Implicit USD Exchange Rate from CEDEARs and ADRs**
This indicator calculates the implicit ARS/USD exchange rate using CEDEAR pairs traded on the Argentine stock exchange (BYMA). It compares the ARS price of a CEDEAR against its USD MEP version (D-suffix ticker) to derive the implicit dollar rate.
**How it works:**
Divide the ARS ticker price by the D-suffix ticker price. Example: AAPL / AAPLD = Implicit rate.
**Features:**
• Top 10 CEDEARs ranked by 30-day average volume
• AL30/AL30D bond benchmark as white reference line
• Filter: Top 5, Top 10, or All
• Custom ticker input field
• Info box with best buy and best sell rates
• Colored labels for each ticker
**Default Tickers:** PAMP, GGAL, AMZN, IBIT, GOOGL, NVDA, MELI, VIST, NFLX, GLD
**Usage:** Apply to any chart. Works independently of chart symbol.
**Disclaimer:** For informational and educational purposes only. Eco Valores S.A. does NOT provide investment advice. Consult a qualified financial advisor before investing.
Eco Valores S.A. - ALyC 109/CNV
VLB Cycle Levels Tool Structural Cycle Mapping for XAUUSDThe VLB Cycle Levels Tool provides a visual framework for examining structural cycles on XAUUSD.
It displays automatically generated levels based on a rules-based approach, allowing traders to observe how price interacts with recurring structural areas over time.
The tool adapts as market structure evolves, updating its levels when new highs or lows form.
Its purpose is to offer a clear, consistent view of structural cycles so users can incorporate these reference points into their independent chart analysis.
Features:
Automatically generated structural cycle levels
Dynamic updates as market structure develops
Neutral, non-predictive visualization
Clear reference zones for studying price behavior
This tool does not generate trading signals, provide timing information, or offer predictive analysis.
It simply organizes price structure into visual reference points that may assist users in their own interpretation and decision-making process.
Users remain fully responsible for their analysis, timing, and risk management.
The VLB Cycle Levels Tool is intended for traders who prefer an objective way to observe structural cycles and level-based behavior on XAUUSD as market conditions change.
VLB Dynamic Levels Tool Structural Mapping for XAUUSDThe VLB Dynamic Levels Tool provides a visual framework for observing price structure on XAUUSD.
It displays automatically generated levels based on a rules-based approach, allowing traders to study how price interacts with important reference areas on the chart.
The tool updates dynamically as market structure evolves, reflecting changes in price movement without requiring manual redrawing.
Its purpose is to offer a clear, consistent layout of structural levels that users can incorporate into their own market analysis.
Features:
Automatically displayed structural reference levels
Dynamic recalculation as new highs and lows form
Neutral, non-predictive visual layout
A consistent framework for studying price behavior
This tool does not generate trading signals or provide predictive information.
It simply organizes price structure into visual reference points that may assist users in their independent chart analysis.
Traders remain fully responsible for their own interpretation, timing, and risk management.
The VLB Dynamic Levels Tool is intended for those who prefer a clean and adaptable way to observe XAUUSD structure throughout changing market conditions.
Hicham XAUUSD Key Levels PRO (Custom Series) V2🔑 XAUUSD Key Levels PRO | 1H / 4H Structure + Psychological Levels v2
This indicator is designed specifically for Gold (XAUUSD) traders who want clean, institutional-grade key levels without chart clutter.
It combines market structure levels with true psychological price levels used by institutions, making it ideal for scalping, intraday, and swing trading.
📌 Features
🔹 Market Structure Key Levels
Automatic 1H & 4H High / Low detection
Based on swing pivots (configurable strength)
Solid lines for clear structure visibility
🔹 Gold Psychological Levels (XAUUSD)
Major levels: every 500$ (strong institutional zones)
Medium levels: every 250$
Minor levels: every 10$
Dynamic levels around current price
No line spam, optimized performance
🔹 Visual Clarity
Solid / dashed / dotted line styles
Custom colors & line thickness
Optional price labels
Works perfectly on M1 → H4
🎯 Best Use Cases
Liquidity sweeps & reactions
Premium / discount zones
Stop-loss & take-profit placement
Confluence with BOS / CHoCH
London & New York sessions
⚙️ Fully Customizable
Toggle 1H / 4H levels
Adjust psychological level spacing
Enable / disable labels
Clean & lightweight (no lag)
⚠️ Notes
Optimized for XAUUSD (Gold)
Best results when combined with price action & structure
Not a trading signal indicator
If you want:
Session-based levels
Alerts on key levels
Smart Money Concepts integration
Feel free to comment or DM 👊
Happy trading 💛📈
Open-source script
In true TradingView spirit, the creator of this script has made it open-source, so that traders can review and verify its functionality. Kudos to the author! While you can use it for free, remember that republishing the code is subject to our House Rules.
hichamfata
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.
50-Point Psych Levels (Multiples of 50)50-Point Psychological Levels (Multiples of 50)
This indicator plots static psychological price levels at fixed point intervals (default every 50 points) across the chart. These levels are commonly watched by traders as natural areas of reaction, balance, support, and resistance, especially on index futures such as NQ, ES, YM, and RTY.
The script automatically centers the levels around the current market price and draws them across a configurable range above and below price. All levels extend across the entire chart and are drawn once only, keeping the display clean and preventing redraw lag.
Key Features
Plots horizontal levels at fixed point spacing (default: 50 points)
Automatically anchors around the latest price
Configurable range above and below price
Customizable line color, width, and style
Lightweight, non-repainting, static reference levels
Best Use Cases
Identifying psychological support and resistance
Confluence with VWAP, EMA structure, ORB levels, and volume
Futures trading (NQ, ES, YM, RTY), indexes, and large-tick instruments
Goldbach Continuum | PO3 Market FrameworkGoldbach Continuum is an indicator recreation and reinterpretation based on the original Goldbach Trifecta methodology and teachings developed by Hopiplaka.
The indicator applies Power of Three (PO3) dealing ranges to visualize institutional price cycles using Goldbach-based mathematical levels. Price is organized into Liquidity, Flow, and Rebalance layers, highlighting where liquidity is engineered, directional bias is established, and price temporarily pauses or redistributes risk.
This implementation was built to preserve the core structural logic of the original model while presenting it in a clear, modular, and execution-focused format. Each layer can be displayed independently, and an optional mini-map provides higher-timeframe context for multi-timeframe analysis.
This project is created with respect to the original framework and is intended as an educational and analytical recreation, not a replacement for the official Goldbach Trifecta indicator.
Credits & Acknowledgments
Original methodology and teachings: Hopiplaka
Framework & code implementation: Noctis
Official reference: hopiplaka.gumroad.com
Goldbach TrifectaGoldbach Trifecta applies Power of Three (PO3) dealing ranges to map institutional price cycles using mathematically derived Goldbach-based levels.
Price is structured into three purpose-driven layers — Liquidity, Flow, and Rebalance — helping traders visualize where liquidity is engineered, bias is defined, and price pauses or redistributes risk with precision. Each layer can be displayed independently, and an optional mini-map provides higher-timeframe structural context at a glance.
This model builds on the foundational teachings of Hopiplaka, whose original Goldbach framework revolutionized how traders interpret engineered price cycles — thank you for the core insights and methodology. The underlying code structure and implementation were developed by Noctis, bringing this advanced framework to life in an easy-to-use indicator.
Credits: Hopiplaka (original founder & methodology), Noctis (framework development)
Reference: hopiplaka.gumroad.com
Wealth_Master Trading Suite [Stable v3]Wealth Master Trading Suite
The Wealth Master Trading Suite is an all-in-one institutional trading toolkit designed to declutter charts and provide high-probability areas of interest. This script consolidates four professional-grade technical analysis tools into a single algorithm, allowing Free Plan users to access a full trading system without hitting the 3-indicator limit.
Methodology & Features
This suite combines time-based liquidity levels, price action structure, and volatility-based order flow analysis. It is composed of four distinct modules:
1. Dynamic Camarilla Pivots (Support & Resistance)
Logic: Calculates standard Camarilla Pivot points (R4/S4 Breakout levels and R5/S5 Extreme Reversal levels) based on Previous High, Low, and Close.
Smart Switching: Automatically detects your chart timeframe to display the correct data:
Intraday (< 4H): Displays Daily Pivots.
4H - 1D: Displays Weekly Pivots.
Daily +: Displays Monthly Pivots.
Usage: R4/S4 are used for trend continuation/breakouts, while R5/S5 often act as over-extended reversal targets.
2. Smart Money Concepts (SMC) Engine
Fair Value Gaps (FVG): Automatically detects imbalances where price moved aggressively, leaving unfilled orders. Includes an ATR Volatility Filter (default 0.5x ATR) to remove noise and only show significant institutional displacement.
Order Blocks (OB): Identifies the foundational candle prior to a significant break of structure.
Auto-Mitigation: To keep the chart clean, this script utilizes an aggressive "Garbage Collection" algorithm. Once price re-tests (mitigates) an FVG or Order Block, the zone is automatically removed from the chart.
3. Market Structure & Trend Identification
Logic: Uses a customizable Swing High/Low lookback (default: 5 bars) to identify structural pivot points.
BOS (Break of Structure): Draws lines and labels when price closes beyond a previous significant swing point, confirming trend continuation.
Labels: Automatically marks Higher Highs (HH) and Lower Lows (LL) to visualize market direction instantly.
4. ICT Killzones & Macros (Time-Based Liquidity)
Logic: visualizes the specific time windows where high-volume trading sessions occur.
Timezone Lock: Hardcoded to UTC-4 (New York DST) to ensure session times (Asia, London, NY AM/PM) remain accurate regardless of the user's local chart settings.
Sessions Included:
Asia Range
London Open
New York AM (Morning Trend)
New York Lunch (Retracement)
New York PM (Afternoon Run)
How to Use
Settings: Each module has its own numbered section in the settings panel (e.g., " Camarilla Pivots"). You can toggle each module on/off individually.
Performance: The script is optimized with a strict drawing limit (max 500 objects) and garbage collection to ensure smooth performance during back-testing and scrolling.
Disclaimer: This tool is for educational and informational purposes only. It visualizes past price action data and does not guarantee future results. Trading financial markets involves risk.
USD Liquidity Regime for BTC Perps (Dual) V1USD Liquidity Regime for BTC Perps (Dual)
This intents to be a BTC Perps USD Liquidity Regime macro indicator.
As it names states it is designed for BTCUSDT perpetual futures traders.
It attempts to tracks USD strength (DXY, UUP, yields, VIX composite) as liquidity proxy:
Lower index = weak USD = Risk-On (green background/histogram = long tailwind for BTC).
Higher = strong USD = Risk-Off (red = caution longs, shorts favor).
How to use:
Green background/histogram: Favor longs — rallies likely, dips bought.
Red: Caution longs — corrections hurt, short bias possible.
Blue line (index) vs red SMA: Crosses signal regime shifts.
Histogram strength: Bigger bars = stronger bias.
This is not intended as financial advise or trigger signal tool.
This is a work in progress
Its value is limited, if you do not understand any or some of the words above please do not use this indicator. If you did, then you understand you are not supposed to use this alone to make decisions.
Feel free to ask any questions, this is a work in progress.
Feel free to suggest improvements.
Educational macro context tool — not signals/advice.
Ok for avoiding going against the USD trend dominance by following liquidity.
By @frank_vergaram
Buying Opportunity Score V2.1Overview
A composite scoring system (0-100) that identifies high-probability buying opportunities during market pullbacks. Validated through backtesting on SPY from 2010-2024.
How It Works
The indicator combines multiple fear and oversold signals into a single actionable score. When fear is elevated and the market is oversold, the score rises. Higher scores historically correlate with better forward returns.
Scoring Components
VIX Level (30 pts) - Market fear gauge
Drawdown (30 pts) - Distance from 52-week high
RSI 14 (12 pts) - Oversold confirmation
Bollinger Band (13 pts) - Statistical extreme
VIX Timing (15 pts) - Bonus when VIX declining from peak
Signal Levels
80+ = STRONG BUY (high conviction)
70-79 = BUY (consider entry)
60-69 = WATCH (monitor closely)
Below 60 = No signal
Backtest Results (SPY, 2010-2024)
70+ Signals: 85% win rate, 7.5% average 20-day return
80+ Signals: 100% win rate, 14% average 20-day return
Features
Statistics table showing 1Y, 3Y, 5Y rolling performance
Signal markers (green triangles) on buy signals
Outcome labels showing WIN/LOSS after measurement period
Multiple alert options
Works on SPY, QQQ, IWM (use VIX for all)
How To Use
Add to SPY, QQQ, or IWM (daily timeframe)
Wait for score to reach 70+ or 80+
Green triangle marks signal day
Check statistics table for recent performance
Set alerts for notifications
Alerts Available
STRONG BUY Signal (80+)
BUY Signal (70+)
Moderate Signal (60+)
Score Crossed 80/70
Score Dropped Below 70
Important Notes
Designed for daily timeframe on broad market ETFs
Signals confirm at end of day (bar close)
Statistics table shows rolling windows based on loaded data
Past performance does not guarantee future results
BTC Market Regime Scanner (Free Preview)This idea demonstrates how Bitcoin price action behaves very differently
depending on the underlying market regime.
Most indicators react to price.
This framework focuses on context.
Instead of highlighting isolated buy/sell moments, the chart visualizes:
• When the market is structurally trending versus conditionally neutral
• Why certain price moves should be ignored despite strong momentum
• How multiple filters work together to block low-quality participation
• Where late entries statistically deteriorate expectancy
The regime logic is designed to answer a simple but critical question:
"Is this environment even worth engaging?"
By combining trend strength, regime classification and structural filters,
the framework avoids common pitfalls such as:
– chasing extended moves
– trading inside neutral compression zones
– reacting to noise instead of structure
Important:
– This is NOT a trading signal
– No entries, no alerts, no automation
– The purpose is structural market interpretation, not execution
The indicator shown here is a free visual preview of a more advanced,
invite-only system that extends this logic with execution rules,
risk management and automation.
If you are interested in testing the full system,
feel free to DM me on TradingView.
