Supertrend + EMA + RSI Algo (Low Risk High Accuracy)This is a trend-following + momentum confirmation strategy designed to reduce false signals and control loss.
Supertrend (10,3) → Identifies overall market direction (Buy in uptrend, Sell in downtrend)
EMA 50 & EMA 200 → Confirms strong trend and avoids sideways market
Buy only when EMA 50 is above EMA 200
Sell only when EMA 50 is below EMA 200
RSI (14) → Confirms momentum
Buy when RSI > 55 (strong bullish momentum)
Sell when RSI < 45 (strong bearish momentum)
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🔹 Entry Logic
BUY: Market is in uptrend + strong momentum
SELL: Market is in downtrend + strong bearish pressure
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🔹 Risk Management (Most Important)
Stop Loss: Based on ATR (adapts to volatility)
Target: Fixed Risk-Reward ratio (example: 1 : 2.5)
This keeps loss small and profits larger
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🔹 Best Use Case
Works best in trending markets
Ideal timeframes: 15m, 1h, 4h
Suitable for crypto futures & swing trading
Beginner-friendly if used with low leverage
Trend Analysis
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
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
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
RSI For Loop | PWRSI For Loop – True Dominance Oscillator
RSI For Loop – True Momentum Dominance Through Historical Comparison
The Relative Strength Index (RSI) is excellent at measuring recent price change intensity, but a reading of 70 or 30 has completely different implications depending on the market regime. RSI For Loop removes this ambiguity by transforming RSI into a clean, zero-centered dominance / percentile-rank oscillator that always tells you exactly how strong or weak the current momentum is compared to recent history.
How it works
- Standard RSI is calculated normally (default length 46).
- A simple for-loop compares the current RSI value against the actual RSI value of every previous bar inside the user-defined lookback window (default 1 to 99 bars ≈ one full quarter on daily charts).
- Current RSI higher → +1 point
- Current RSI lower → –1 point
The resulting score ranges from –99 to +99 and is naturally centered around zero:
1. +40 = current momentum beats ~70 % of the last 99 bars (approximation)
2. –60 = current momentum is weaker than ~80 % of the last 99 bars (approximation)
3. Near zero = balanced or ranging market
Additional statistical layers
- A very long rolling median of the score (default 240 periods) serves as a slow, robust dynamic centerline
- Upper and lower 3σ bands are calculated from the standard deviation of the underlying RSI median (default length 60) to highlight truly rare extreme-dominance phases
- Asymmetric trend thresholds (default Long +15 / Short –28) reflect the empirical observation that downside momentum is usually sharper and faster
Origin and development
The core idea of using a for-loop on RSI was originally introduced by @viResearch in his invite-only “RSI For Loop” script.
While studying that concept I realised I needed an even more regime-robust strength gauge that looks back far enough to capture full market cycles (2–4 months). Therefore I completely rewrote the loop to compare against actual historical RSI values instead of fixed levels, added a 240-period median centerline, 3σ extreme bands, asymmetric thresholds, and visual signals. All parameters were extensively tested across dozens of major assets (BTC, ETH, SOL, SUI, BNB, XRP, TRX, DOGE, LINK, PAXG, CVX, HYPE, VIRTUAL + 20+ more cryptos; Magnificent 7 stocks, QQQ, SPX, XAUUSD) with the goal of achieving consistent profitability, high Sortino ratio and low drawdown in simple trend-following setups.
The final defaults represent the most robust compromise found — they keep you in real trends for dozens or hundreds of bars while staying almost silent in choppy, ranging markets.
Important Note
The optimization process is tailored to MY needs and have to be adjusted to you prefered timeframe!
I was mainly looking for an indicator that shows the underlying strength of an asset, the trend componant was only a bonus in my eyes.
How to use it
1. Green triangle below bar → score crosses above +15 → new bullish regime confirmed → enter or add to longs
2. Magenta triangle above bar → score crosses below –28 → exit longs or go cash/short
While score stays clearly positive → bullish bias hold
3. Score touching or breaking the 3σ bands → extreme conviction zone (add to winners or prepare for exhaustion)
Strength
Recommended defaults (My preference)
RSI length 46
Loop range 1–99
Long threshold +15
Short threshold –28
Median length 240
SD length 60
Recommended Universal Settings (Tested for low Max-Drawdown, high Sortino)
RSI length 44
Loop range 1–60
Long threshold +14
Short threshold –10
Median length 180
SD length 28
Works on every asset class, but the current settings are tuned for major liquid markets.
Disclaimer: This is not financial advice. Backtests are based on past results and are not indicative of future performance.
SMC Academy [PhenLabs]📊 SMC Academy
Version: PineScript™ v6
📌 Description
The SMC Academy indicator is a comprehensive educational tool designed to demystify Smart Money Concepts (SMC) for traders of all levels. Unlike standard indicators that simply print signals, this script uses a “Learning Phase” system that allows users to toggle between individual concepts—such as Market Structure, Liquidity, Imbalances, and Order Blocks—or view them all simultaneously. It lets you focus on one piece of the puzzle at a time.
🚀 Points of Innovation
Progressive Learning Modes: Toggle between 5 distinct phases to master concepts individually before using the Full Strategy Mode.
Educational Tooltips: Hover over labels to read detailed explanations of why a BOS, MSS, or Liquidity zone was identified.
Smart Filtering: Uses ATR and Volume integration to filter out low-quality Fair Value Gaps and weak Order Blocks.
HTF Dashboard: A built-in panel analyzes Higher Timeframe (4H) data to ensure you are trading in alignment with the broader trend.
🔧 Core Components
Market Structure Engine: Automatically detects Swing Highs and Lows to map out market direction using configurable swing lengths.
Liquidity Manager: Identifies unmitigated swing points that serve as Buy-Side (BSL) and Sell-Side (SSL) liquidity magnets.
Imbalance Detector: Highlights Fair Value Gaps (FVG) where price inefficiencies exist, using ATR thresholds to ignore noise.
Order Block Identifier: Locates the specific candles responsible for structure breaks, validated by volume analysis.
🔥 Key Features
Break of Structure (BOS): Automatically marks trend continuation signals with solid lines and color-coded labels.
Market Structure Shift (MSS): Identifies potential trend reversals when significant swing points are breached.
Dashboard Context: Displays the current trend direction and the 4H context directly on your chart.
Custom Alerts: Built-in alert conditions for structure breaks and new Order Blocks allow for automated tracking.
🎨 Visualization
Structure Lines: Solid lines indicate confirmed breaks (Green for Bullish, Red for Bearish).
Liquidity Zones: Dotted lines extending rightward indicate resting liquidity levels that price may target.
FVG Boxes: Shaded boxes highlight imbalance zones, automatically extending for a user-defined number of bars.
Dashboard: A clean, non-intrusive table in the top-right corner displays trend status and active mode.
📖 Usage Guidelines
Setting Categories
Learning Mode: Select from ‘1. Market Structure’ through ‘5. Full Strategy Mode’ to filter what appears on the chart.
Swing Detection Length: Default (5). Determines the sensitivity of the swing high/low detection.
Structure Break Type: Options (Close/Wick). Choose whether a candle close or just a wick is required to confirm a break.
Min FVG Size: Default (0.5 ATR). Filters out gaps smaller than this multiplier to reduce noise.
Filter Weak OBs by Volume: Default (True). Only highlights Order Blocks where volume exceeds the 20-period average.
✅ Best Use Cases
Educational Study: Isolate “Phase 1: Market Structure” to practice identifying trend changes without distraction.
Trend Following: Use “Phase 3: Imbalances” to find entry points within an established trend.
Reversal Trading: Combine “Phase 2: Liquidity” and “Phase 4: Order Blocks” to catch reversals at key levels.
⚠️ Limitations
Subjectivity: Market structure can be interpreted differently depending on the swing length settings used.
Ranging Markets: Like all trend-following concepts, false BOS/MSS signals may generate during choppy, sideways price action.
Repainting: While the signals are non-repainting once confirmed, the live candle may flash a signal before the close if “Close” mode is selected.
💡 What Makes This Unique
Interactive Learning: The inclusion of tooltip explanations transforms this from a simple tool into an active mentor.
Phase-Based Workflow: The ability to strip the chart back to basics at the click of a button is unique to the PhenLabs ecosystem.
🔬 How It Works
Swing Analysis: The script calculates pivot highs and lows based on your length input to define the structural landscape.
Break Validation: It checks if price crosses these pivot points to trigger BOS (Continuation) or MSS (Reversal) logic.
Volume Confirmation: For Order Blocks, it looks back inside the swing leg to find the specific candle responsible for the move, verifying it has significant volume.
💡 Note:
For the best experience, start in Phase 1 to calibrate your Swing Detection Length to the specific volatility of the asset you are trading before enabling Full Strategy Mode.
RS High Beta Exposure | QuantLapseRS High Beta Exposure | QuantLapse
Conceptual Foundation and Innovation
The RS High Beta Exposure indicator from QuantLapse is a comprehensive multi-asset allocation and momentum-ranking system that integrates beta and trend analysis, pairwise relative strength comparison, and volatility-adjusted filtering.
Its objective is to identify dominant crypto assets while dynamically reallocating High Beta exposure based on a calculated relative strength. The objective is to integrate trend analysis along with volatility filtering to these pairs to determine its relative strength.
At its core, RS High Beta Exposure indicator measures the systematic (β) performance of each asset relative to other assets provided combining these measures with inter-asset ratio trends to determine which assets exhibit superior strength and momentum relative to the other assets.
This integration of relative strength comparison, and trend and filtering analysis represents a quantitative evolution of traditional relative strength analysis, designed for adaptive asset rotation across major cryptocurrencies.
Technical Composition and Calculation
The indicator is structured around three major analytical layers:
1. Beta and Alpha Analysis
-Each asset’s return is decomposed into systematic components relative to the other assets by using a trend based, volatility filtering model.
-Assets with the highest point on a relative strength basis above the median are considered outperformers and eligible for allocation.
2. Pairwise Ratio Momentum
-Every asset is compared against all others through a ratio-trend, where momentum based trend scores quantify the directional momentum between each pair.
-In addition, we filter any false signals with volatility adjusted trends in which ensure high quality signals.
3. High Confidence Ranking
-Using the Pairwise Momentum signals, the RS High Beta Exposure scores them. If the asset comparison is given a signal, the RS High Beta Exposure scores points for each asset.
-If the total points of an asset is 5, its given the rank the dominant asset and is most likely to outperform.
By combining these layers, RS High Beta Exposure determines not only which assets is the strongest but also which assets to be invested.
User Inputs and Feature Adaptability
The indicator includes set of customizable parameters to support portfolio and risk management preferences:
Start Date Filter – Defines the beginning of live strategy evaluation.
Display Options – Able to change the location of the RS Table, Background and equity color.
Asset Selection – Modify or replace up to six crypto assets in the ranking matrix
asset1 = input.symbol("CRYPTO:XRPUSD", title ="Asset 1")
asset2 = input.symbol("CRYPTO:BNBUSD", title ="Asset 2")
asset3 = input.symbol("CRYPTO:ADAUSD", title ="Asset 3")
asset4 = input.symbol("CRYPTO:DOGEUSD", title ="Asset 4")
asset5 = input.symbol("CRYPTO:XLMUSD", title ="Asset 5")
asset6 = input.symbol("CRYPTO:LINKUSD", title ="Asset 6")
Each module operates cohesively to maintain analytical transparency while allowing user-level control over system sensitivity and behavior.
Real World, Practical Applications
The RS High Beta Exposure indicator is designed for systematic traders and quantitative portfolio managers who seek a disciplined framework for dynamic crypto asset rotation.
Key applications include:
High-Beta Asset Identification: Systematically identify crypto assets exhibiting relative dominance and stronger momentum characteristics versus peers within the comparison set.
Rule-Based Portfolio Rotation: Reallocate exposure toward leading assets using objective pairwise signals, reducing emotional decision-making and FOMO-driven trades.
Trend-Aligned Risk Participation: Employ the pairwise relative strength model to maintain exposure only during favorable momentum conditions, helping avoid prolonged participation in weak or deteriorating trends.
By combining relative strength comparisons with trend-aware filtering, this framework bridges quantitative finance and market regime analysis, providing a structured, data-driven approach to crypto asset allocation.
Advantages and Strategic Value
RS High Beta Exposure goes beyond conventional relative strength tools by integrating multi-asset comparison, ratio-based dominance scoring, and volatility-aware regime filtering into a single coherent framework.
By employing a three-layer confluence model — combining trend integrity, relative performance attribution, and volatility-state confirmation — the system improves the reliability of rotation and trend-following decisions.
The model is particularly valuable for traders seeking to:
Mitigate drawdowns while participating in higher-beta assets through regime-aware exposure control.
Identify persistent outperformers early in emerging market trends.
Maintain capital exposure only when statistical and momentum conditions signal elevated confidence.
The inclusion of visual allocation tables and a dynamic alert system makes RS High Beta Exposure both transparent and actionable, supporting discretionary analysis as well as systematic or automated trading workflows.
Alerts and Visualization
The script delivers clear, intuitive visual cues and alert-based feedback to support real-time decision-making:
Color-coded background states visually indicate the current allocation regime.
Allocation labels and summary tables display the dominant asset and its relative strength in real time.
An integrated alert system automatically notifies users whenever allocation states change (e.g., “100% XRP” or “100% CASH”).
Together, these visualization and alert features make RS High Beta Exposure both analytically rigorous and easy to interpret, even in fast-moving live market conditions.
Summary and Usage Tips
RS High Beta Exposure is an advanced interpretation of relative strength analysis, blending pairwise momentum comparisons, multi-asset dominance scoring, and adaptive volatility filters into a disciplined framework for crypto asset rotation.
By combining cross-asset selection with systematic allocation logic, the indicator helps traders determine when to be exposed, which asset demonstrates leadership, and when to step aside during unfavorable conditions. The model is best applied on the 1D timeframe, where its structure is optimized for identifying sustained leadership rather than short-term price noise. For broader context and confirmation, it can be used alongside other QuantLapse systematic models at the portfolio level.
Note: Past performance does not guarantee future results. This indicator is intended for research and educational use within TradingView.
Intermarket SSMT Table [Pogiest]General
Intermarket Sequential Smart Money Technique (IMSSMT) is a Quarterly Theory concept that identifies divergences (extreme highs/lows) when comparing different market triads to another market triad in two consecutive quarters.
SSMT involves identifying divergences in a correlated asset triad that occurs consecutively from the previous quarter to the current quarter to predict new phases of price, a shift in market sentiment, and also potential trend reversals. An SSMT divergence occurs when one or two assets makes a new high or low, but the other asset or assets does not, signaling a potential shift in market direction. A Hidden SSMT Divergence occurs when one or two assets’ closing price closes higher or lower than the other one or two assets’ closing price. However, with potential gaps in price, an opening price can also be the extreme when comparing assets for divergences. Hidden SSMT divergence compares the candle bodies while a Standard SSMT divergence compares the highs and lows. Both types of SSMTs are considered to be cracks in correlation and can be used to identify potential new phases of price whether it be a reversal, retracement, consolidation, and continuation.
Credit of concepts/ideas: ICT & TraderDaye
What Makes This Indicator Unique
The indicator table is designed to be used on any symbol the trader is viewing. For example, the indicator is shown on an NQ chart while selecting three symbols in the Forex triad in settings. The indicator will request the separate data from the symbols selected and display the data within the table. The table does not rely on data on the chart being viewed. Instead of switching charts, the table is used to track other market triads for SSMTs (standard & hidden) while viewing other markets simultaneously.
The indicator has the ability to display Standard SSMTs, Hidden SSMTs, or both simultaneously in real-time, tick by tick in the time period selected in a correlated asset triad within the table. Toggle modes for each type of SSMT will run independently (runs when enabled) and therefore, optimizes performance. The user is able to select three different tickers in settings instead of limiting to pairs. In addition, the indicator has “Invert” toggle options to track both Standard and Hidden SSMTs for assets with negative correlations.
How the Indicator Table Works
The indicator functions to track any divergences from the previous quarter to the current quarter. In addition, the indicator tracks the current status even when there are no divergences (see phase column below).
Timeframe Column:
1. Displays up to two different timeframes to monitor.
Asset Columns:
1. Display up to three different assets to monitor.
2. Cells display “Bull” in green background color or “Bear” in red background color showing the current state of each candle and updates in real-time tick by tick.
Phase Column:
Displays the current status from the previous quarter to the current quarter. The status updates in real-time tick by tick.
1. “F/S” indicates there are no current SSMT divergences between the previous quarter to the current quarter and all assets have not swept the previous quarter, a “failure swing”.
2. “HH” is displayed when all assets have swept the previous quarter’s extreme high. (Higher High)
3. “LL” is displayed when all assets have swept the previous quarter’s extreme low. (Lower Low) See screenshot with drawings below.
4. SSMT indicates there is an SSMT from the previous quarter to the current quarter. Red background is a bearish SSMT (divergence at the highs) or green background is a bullish SSMT (divergence at the lows). If the SSMT becomes invalid (i.e. the last asset sweeps the extreme high/low), then the table will update to display either “HH” or “LL” depending on the extreme it swept. See screenshot with drawings below.
5. “Both” indicates there are SSMT divergences at both the extremes highs and lows. If an SSMT on one side gets deleted, then the cell will automatically update to display the SSMT that is still intact. See screenshot with drawings below.
Invert Toggle Option:
When this setting is turned on, the asset column cells will display the inverted color of the live chart to show assets are in-sync. It will track the inverted swing points for SSMTs, higher highs, lower lows, etc. For example, if EUR and GBP are making lower highs, while DXY (Inverted toggle on), makes a lower low on the actual live chart, it will display “SSMT”.
NOTE:
Scanning function per timeframe to detect SSMTs:
Weekly HTF: Scans 4HR bars
Daily HTF: Scans 1HR bars
6HR/4HR HTF: Scans 15m bars
1HR HTF: Scans 5m bars
5m HTF: Scans 1m bars
The script has fixed lookback periods for bars to ensure the appropriate data is being captured. The higher the timeframe the user selects in settings while viewing on an extremely lower timeframe, the indicator may give inaccurate readings:
Recommended Chart Timeframes:
For best performance and accuracy, view your chart on a timeframe close to or lower than the scan timeframe:
Weekly HTF → View on 1H-4H chart
Daily HTF → View on 1H-4H chart
6HR/4HR HTF → View on 5m-15m chart
90M HTF → View on 3m-15m chart
1H HTF → View on 1m-15m chart
The indicator will attempt to scan further back if needed, but extremely low chart timeframes (e.g., 1m) with high HTF (e.g., Weekly) may still have limitations.
In addition, the indicator bases the SSMT off the previous quarter’s time range to the current quarter’s time range. If there are discrepancies in the time ranges (start to end of higher timeframe period selected), the SSMTs may display differently than what is viewed on the chart. For example, indices open at 18:00 est on a new trading day, so the time ranges matches throughout the day. However, in Forex, EUR and GBP opens at 17:00 est while DXY opens later, so the time ranges may be off (i.e. 6 hour timeframe). For best use, select time periods that matches throughout the day.
Usage
Traders can use both types of SSMT divergences to anticipate potential reversals in points of interest such as higher timeframe swing points, supply/demand zones, higher timeframe imbalances, key levels, etc. This indicator can also be beneficial in identifying cracks in correlation via Hidden SSMT when there are no divergences off the highs and lows. Divergences can come in different forms relating to Intermarket SSMT. For example, if one market triad is all making lower lows while the other market triad is making higher highs, this can be deemed a divergence between the two markets. Another example would be one market triad all makes lower lows while another market triad makes a bullish SSMT. This can potentially signal a bullish move up. SSMT divergences (standard and hidden) can be used as a confirmation tool with other confluences to identify trend direction with respect to points of interest, higher timeframe order-flow, lower timeframe order-flow, etc. In addition, having both a Standard SSMT and Hidden SSMT divergence display could potentially signal a reversal. It is up to the trader to gauge the price action at the time.
Settings
1. Choose up to three different assets to monitor.
Note: If only two are selected, the indicator will only display the two selected and compare the two assets for divergences. If one is selected, a warning sign will be displayed to select at least two assets.
2. Choose up to two different timeframes. Option to deselect timeframes.
3. Enable/disable standard or hidden SSMT.
4. Option to enable alerts. Alerts include the different phases in the table (i.e. SSMT, HH, LL, and Dual SSMT [both standard & hidden) for each timeframe.
5. Toggle option to show/hide the table. Toggle option to show/hide the “Title Row” which is the first row at the top of the table.
6. Adjust the table positioning to be displayed on the chart.
7. Option to change text size in the table cells. This will also increase/decrease the size of the table.
Risk Disclaimer
This indicator is for educational and informational purposes only and does not constitute financial advice. All trading and investment decisions remain solely the responsibility of the user.
Trading involves a high degree of risk, and past performance is not indicative of future results.
Always conduct your own research and consult with a qualified financial professional before making any trading decisions.
By using this indicator, users acknowledge they understand these risks and accept full responsibility for their trading decisions and outcomes.
Whale Flow PRO [Institutional Grade Trend System]Whale Flow PRO is an advanced market analysis algorithm designed to align retail traders with institutional liquidity cycles. Unlike standard lagging indicators, Whale Flow focuses on detecting the underlying phase of the market: Liquidity Building (Consolidation) vs. Institutional Expansion (Whale Runs).
This tool was engineered to solve the biggest problem in trading: getting trapped in choppy markets ("Whipsaws") and missing the true explosive moves.
⚙️ How It Works
The algorithm utilizes a proprietary volatility-adjusted volume model combined with dynamic price-action pivots. By analyzing the rate of change relative to historical volatility compression, the script identifies key "Pivot Lines" where liquidity is likely to flow.
Trend Filtering: It automatically filters out noise by calculating a custom "Consolidation Index". When the market is in a building phase, signals are suppressed to protect capital.
Whale Runs: When volatility expands beyond a specific threshold in the direction of the dominant trend, the system triggers a "Whale Run" mode, signaling high-probability entry zones.
📊 Key Features
Smart Dashboard (HUD): A real-time professional panel displaying the current Trend Direction, Market Phase (Run vs. Build), and active Pivot Levels.
Dynamic Heatmap: A visual ribbon at the bottom of the chart that tracks the historical strength of the trend flow.
Context-Aware Coloring:
Neon Green: Confirmed Bullish Flow (Whale Run).
Neon Red: Confirmed Bearish Flow (Dump).
Silver/Gray: Consolidation Zone (Safety Mode - No Trades).
Protection System: The "Liquidity Build" filter prevents entries during sideways movement, significantly increasing the win rate of the signals.
🔒 Access
This is an Invite-Only script dedicated to professional traders and community members. It is strictly protected to maintain the edge of its users.
To obtain access: Please visit the link in my signature or send me a private message (PM) here on TradingView for licensing details.
Disclaimer: This tool is for informational purposes only and does not constitute financial advice. Past performance (even of whales) is not indicative of future results.
CoreHedge : Pivots(Main) + Manual RR Monitor
You can fInd Mainly Target Point of Support and Resistance
1. Finding Tipping Point
2. Strategy Build
3. RR Caculator
Custom Study 4402This custom indicator acts as a comprehensive technical analysis suite designed to visualize market structure and trend alignment for intraday analysis. The primary purpose of this script is to automate the calculation of significant price levels based on historical data points, specifically focusing on the relationship between previous day's price action and current momentum.
**Key Features:**
1. **Automated Level Plotting:** The script calculates and renders key support and resistance zones derived from standard volatility metrics and historical high/low data. These levels serve as static references throughout the trading session.
2. **Trend Confluence:** It incorporates Volume Weighted Average Price (VWAP) logic to filter price action, helping to identify whether the asset is in a bullish or bearish phase relative to the average volume-weighted price.
3. **Signal Visualization:** The script utilizes visual markers (shapes and lines) to highlight specific conditions where price action aligns with the calculated levels.
4. **Dashboard Display:** A data table is provided to numerically display the calculated values for quick reference.
**Usage:**
This tool is intended for studying price behavior around calculated pivot zones. It is a "Protected" script designed to maintain the integrity of the specific calculation parameters used in this study. The logic combines multi-timeframe analysis to ensure that the plotted levels remain consistent regardless of the intraday timeframe being viewed.
**Disclaimer:**
This script is for educational and research purposes only. It visualizes data based on past performance and does not guarantee future results.
N Days Back Session DividerThis Pine Script acts as a smart vertical marker that identifies exactly where a trading day began a specific number of sessions ago. It is designed to ignore "dead time" (like weekends or holidays) by focusing on actual market activity.
Slope Averages
📊 Indicator Overview: Three Moving Averages Slope Table
This indicator is designed to calculate and display the slopes and averages of three different moving averages (MAs) in a table format. It helps traders quickly visualize the direction and strength of multiple moving averages, as well as their combined averages, across different timeframes.
⚙️ Inputs and Configuration
• MA Type 1, 2, 3: Choose the type of moving average for each line. Options:
• (Exponential Moving Average)
• (Simple Moving Average)
• (Weighted Moving Average)
• (Volume-Weighted Moving Average)
• (a custom smoother using multiple EMAs)
• Length 1, 2, 3: Periods for each moving average (e.g., 20, 50, 100).
• Source: The price source used (default = ).
• Extra Timeframes (optional): You can configure up to 3 additional timeframes (e.g., 1h, 4h, Daily) to compare the combined average across different chart periods.
🔧 Functions Explained
1. tilson(src, length)
• A custom moving average that smooths price using 8 sequential EMAs.
• Produces a smoother line than a standard EMA.
2. getMA(src, length, maType)
• Selects the correct moving average type based on user input.
• Returns the chosen MA value.
3. Slope Calculation
• Each slope is calculated as:
• This converts the difference between current and previous MA values into an angle in degrees.
• Positive slope = upward trend, negative slope = downward trend.
4. Combined Slopes
• : Average slope of all three MAs.
• , , : Average slopes of pairs of MAs.
5. Combined Averages
• : Average of MA1 and MA2.
• : Average of MA2 and MA3.
• : Average of MA1 and MA3.
• : Average of all three MAs.
6. Color Function
• : Returns green if value ≥ 0, red if value < 0.
• Used to color table cells for quick visual feedback.
📋 Table Output
The table shows:
1. Individual slopes of MA1, MA2, MA3.
2. Average slope of all three.
3. Combined averages (M1+M2, M2+M3, M1+M3).
4. Combined slopes of pairs.
5. Overall average .
6. Optional: RSI or multi-timeframe averages can also be added.
Each value cell is colored green if positive, red if negative, making it easy to spot bullish or bearish conditions.
🎯 How to Use It
• Trend Strength: Look at the slope values. Steeper positive slopes = stronger uptrend; steep negative slopes = stronger downtrend.
• Confluence: When all three MAs and their combined averages point in the same direction, it signals strong trend alignment.
• Multi-Timeframe Analysis: Configure extra timeframes to see if short-term and long-term averages agree. If they align, confidence in the trend increases.
• RSI Integration (optional): Add RSI to confirm momentum. For example, bullish slope + RSI > 50 = stronger buy signal.
✅ Practical Example
• MA1 = EMA(20), MA2 = SMA(50), MA3 = WMA(100).
• If slope1, slope2, slope3 are all positive and green, and is also green → strong bullish trend.
• If slopes are mixed (some green, some red), the market is consolidating.
• If all slopes are red and is red → strong bearish trend.
