DTC FX+DTC FX+
All in One Indicator for Forex Markets
A comprehensive FX session indicator designed to help traders identify and analyze different trading sessions throughout the day.
This indicator provides real-time detection of major FX trading sessions including New York, London, and Tokyo sessions. It displays session ranges, highs and lows, and includes volume analysis to help identify periods of increased market activity.
Key features include:
• Real-time FX Session Detection (NY, London, Tokyo)
• Live Daily Candle Overlay with OHLC tracking
• Volume Bars for Strong Volume Detection
• Session Trend Detection
• Dynamic Session Status Tables
• Daily Dividers and Session Box Visualization
• Custom Trading Rules Display
• Watermark System
• Moving Averages (EMA, WMA, SMA)
• Fair Value Gaps (FVG) Detection
• Support & Resistance Levels (CISD)
• Gap Violations Analysis
• Session-specific Volume Analysis
• Customizable Session Times and Colors
• Theme-aware Display Options
• Multiple Watermark Styles
• Session Range and Extremes Display
• Professional Session Dashboard
The session dashboard provides a clear overview of current market conditions, while customizable trading rules can be displayed directly on the chart. Session boxes and dividers help visualize different trading periods, making it easier to understand market structure across different time zones.
All session times, colors, and display options are fully customizable to match your trading preferences. The indicator works across multiple timeframes and includes theme-aware display options for both light and dark chart themes.
Whether you're a day trader looking for session-based opportunities or a swing trader analyzing market structure, this indicator provides the tools needed to better understand FX market dynamics across different trading sessions.
Trading
NPM Trend Indicator ProNPM Trend Indicator Pro
The NPM Trend Indicator Pro is a closed-source, professional-grade trend detection tool designed to help traders identify high-probability directional moves in the market. It combines multiple technical factors to generate clear, actionable trend signals while filtering out noise and reducing false entries.
What it does
Displays trend direction (uptrend, downtrend, or neutral) for the selected symbol.
Shows a confidence or strength score to indicate how reliable the trend signal is.
Highlights potential areas of market exhaustion or reversal based on aggregated trend analysis.
Provides visual cues on the chart to assist with trade timing and risk management.
How it works (concept-level)
Integrates multiple trend-detection methods, including moving average structures, momentum confirmation, and volatility assessment.
Uses adaptive filters to avoid false signals during sideways or choppy market conditions.
Includes zone awareness to help traders avoid entering trades too close to likely reaction points.
Aggregates all signals into a single output to give traders a concise, actionable overview.
How to use it
1. Apply the indicator to your chosen symbol.
2. Observe the trend direction and confidence score displayed on the chart.
3. Confirm that the trend aligns with your trading strategy and timeframe.
4. Use the visual cues for potential entry, exit, and risk management decisions.
Alerts
Optionally set alerts when trend direction changes or when the confidence score reaches a user-defined threshold.
Notes
Suitable for multiple markets, including forex, indices, crypto, and equities.
Can be used for intraday scalping, swing trading, or longer-term trend analysis depending on the trader’s selected timeframe.
⚠️ Disclaimer: This script is for educational purposes only and is not financial advice. Trading involves risk, and you can lose money. Always test strategies on a demo account and use proper risk management.
NPM Trend Dashboard NPM Trend Dashboard
The NPM Trend Dashboard is a closed-source tool designed to help traders quickly assess market conditions and make informed decisions. It combines trend detection, momentum, and volatility awareness into a clear interface, showing the current trend direction and strength for selected symbols.
What it does
Displays trend direction (uptrend, downtrend, or neutral) for each selected symbol.
Shows a confidence score or strength indicator to help gauge reliability.
Highlights potential areas of market exhaustion or reversal based on aggregated trend signals.
How it works (concept-level)
Combines multiple trend-detection methods such as moving average structure, momentum filters, and volatility assessment to generate an overall trend signal.
Uses adaptive filters to reduce noise and avoid false signals in choppy markets.
Incorporates zone awareness to account for areas where price may pause or reverse.
Aggregates signals into a single dashboard view to provide traders with a quick, actionable overview.
How to use it
1. Select symbols to monitor.
2. Switch to your desired timeframe to view trend information.
3. Observe trend direction and confidence score for each symbol.
4. Use the dashboard to supplement trade entries, exits, and risk management strategies.
Alerts
Optionally set alerts when trend direction changes or when confidence exceeds a user-defined threshold.
Notes
Suitable for multiple markets, including forex, indices, crypto, and equities.
Can be used for intraday scalping, swing trading, or longer-term trend analysis depending on the selected timeframe.
⚠️ Disclaimer: This script is for educational purposes only and is not financial advice. Trading involves risk, and you can lose money. Always test strategies on a demo account and practice proper risk management.
NPM Market PredictionMarket Prediction Indicator
The Market Prediction Indicator Script is a custom-built tool designed to give traders a clearer view of market direction and probability. It combines several technical concepts into one framework to help filter out noise, highlight potential opportunities, and improve trade timing.
What it does
Identifies whether the market is more likely trending or ranging.
Generates trade signals only when multiple factors align.
Assigns a confidence score to each signal for added clarity.
Plots guides for stop and target placement that adapt to market conditions.
Filters signals around potential reversal areas to reduce false entries.
What you see
Long/short markers when conditions align.
Confidence score labels for signals.
Adaptive stop/target guides.
Highlighted zones showing potential areas of reaction.
How to use it
1. Observe whether the indicator shows a trending or ranging environment.
2. Take signals when all conditions align and the confidence score meets your threshold.
3. Use the adaptive stop and target guides for risk management.
4. Optionally add higher timeframe confirmation for extra filtering.
Alerts
Long signal confirmed
Short signal confirmed
Target reached
Stop guide breached
Notes
This tool is designed for use across multiple markets and timeframes, from intraday setups to swing trading.
⚠️ Disclaimer: This script is for educational purposes only and not financial advice. Trading involves risk, and you can lose money. Always test on demo and manage risk carefully.
Kio IQ [TradingIQ]Introducing: “Kio IQ ”
Kio IQ is an all-in-one trading indicator that brings momentum, trend strength, multi-timeframe analysis, trend divergences, pullbacks, early trend shift signals, and trend exhaustion signals together in one clear view.
🔶 The Philosophy of Kio IQ
Markets move in trends—and capturing them reliably is the key to consistency in trading. Without a tool to see the bigger picture, it’s easy to mistake a pullback for a breakout, a fakeout for the real deal, or random market noise as a meaningful price move.
Kio IQ cuts through that random market noise—scanning multiple timeframes, analyzing short, medium, and long-term momentum, and telling you on the spot whether a move is strong, weak, a trap, or simply a small move within a larger trend.
With Kio IQ, price action reveals its next move.
You’ll instantly see:
Which way it’s pushing — up, down, or stuck in the middle.
How hard it’s pushing — from fading weakness to full-blown strength.
When the gears are shifting — early warnings, explosive moves, smart pullbacks, or signs it’s running out of steam.
🔶 Why This Matters
Markets move in phases—sometimes they’re powering in one direction, sometimes they’re slowing down, and sometimes they’re reversing.
Knowing which phase you’re in can help you:
Avoid chasing a move that’s about to run out of steam.
Jump on a move when it’s just getting started.
Spot pullbacks inside a bigger trend (good for entries).
See when different timeframes are all pointing the same way.
🔶 What Kio IQ Shows You
Simple color-coded phases: “Strong Up,” “Up,” “Weak Up,” “Weak Down,” “Down,” “Strong Down.”
Clear visual signals
Full Shift: Strong momentum in one direction.
Half Shift: Momentum is building but not full power yet.
Pullback Shift: A small move against the trend that may be ending.
Early Scout / Lookout: First hints of a possible shift.
Exhaustion: Momentum is very stretched and may slow down.
Divergences: When price moves one way but momentum moves the opposite way—often a warning of a change.
Multi-Timeframe Table: See the trend strength for multiple timeframes (5m, current, 30m, 4h, 1D, and optional 1W/1M) all in one place.
Trend Strength %: A single number that tells you how strong the trend is across all timeframes.
Optional meters: A “momentum bar” and “trend strength gauge” for quick checks.
🔶 How It Works Behind the Scenes
Kio IQ measures price movement in different “speeds”:
Slow view: Big picture trend.
Medium view: The main engine for detecting the current phase.
Fast view: Catches recent changes in momentum.
Super-fast view: Finds tiny pullbacks inside the bigger move.
It compares these views to decide whether the market is strong up, weak up, weak down, strong down, or in between. Then it blends data from multiple timeframes so you see the whole picture, not just the current chart.
🔶 What You’ll See on the Chart
🔷 Full Shift Oscillator (FSO)
The image above highlights the Full Shift Oscillator (FSO).
The FSO is the cornerstone of Kio IQ, delivering mid-term momentum analysis. Using a proprietary formula, it captures momentum on a smooth, balanced scale — responsive enough to avoid lag, yet stable enough to prevent excessive noise or false signals.
The Key Upside Level for the FSO is +20, while the Key Downside Level is -20.
The image above shows the FSO above +20 and below -20, and the corresponding price movement.
FSML above +20 confirms sustained upside momentum — the market is being driven by consistent, broad-based buying pressure, not just a price spike.
FSML below -20 confirms sustained downside momentum — sellers are firmly in control across the market.
We do not chase the first sudden price move. Entries are only considered when the market demonstrates persistence, not impulse.
🔷 Half Shift Oscillator (HSO)
The image above highlights the Half Shift Oscillator (HSO).
The HSO is the FSO’s wingman — faster, more reactive, and designed to catch the earliest signs of strength, weakness, or momentum shifts.
While HSO reacts first, it is not a standalone confirmation of a major momentum change or trade-worthy strength.
Using the same proprietary formula as the FSO but scaled down, the HSO delivers smooth, balanced short-term momentum analysis. It is more responsive than the FSO, serving as the scout that spots potential setups before the main signal confirms.
The Key Upside Level for the FSO is +4, while the Key Downside Level is -4.
🔷 PlayBook Strategy: Shift Sync
Shift Sync is a momentum alignment play that triggers when short-term and mid-term momentum lock into the same direction, signaling strong directional control.
🔹 UpShift Sync – Bullish Alignment
HSO > +4 – Short-term momentum is firmly bullish.
FSO > +20 – Mid-term momentum confirms the bullish bias.
When both thresholds are met, buyers are in control and price is primed for continuation higher.
🔹 DownShift Sync – Bearish Alignment
HSO < -4 – Short-term momentum is firmly bearish.
FSO < -20 – Mid-term momentum confirms the bearish bias.
When both thresholds are met, sellers dominate and price is primed for continuation lower.
Execution:
Look for an entry opportunity in the direction of the alignment when conditions are met.
Avoid choppy conditions where alignment is frequently lost.
Why It Works
Think of the market as a tug-of-war between traders on different timeframes. Short-term traders (captured by the HSO) are quick movers — scalpers, intraday players, and algos hunting immediate edge. Mid-term traders (captured by the FSO) are swing traders, funds, and institutions who move slower but carry more weight.
Most of the time, these groups pull in opposite directions, creating chop and fakeouts. But when they suddenly lean the same way, the rope gets yanked hard in one direction. That’s when momentum has the highest chance to drive price further with minimal resistance.
Shift Sync works because it isolates those rare moments when multiple market “tribes” agree on direction — and when they do, price doesn’t just move, it flies.
Best Market Conditions
Shift Sync works best when the higher timeframe trend (daily, weekly, or monthly) is moving in the same direction as the alignment. This higher timeframe confluence increases follow-through potential and reduces the likelihood of false moves.
The image above shows an example of an UpShift Sync signal where the momentum table shows that the 1D momentum is bullish.
The image above shows bonus confluence, where the 1M and 1W momentum are also bullish.
The image above shows an example of a DownShift Sync signal where the momentum table shows that the 1D momentum is bearish. Bonus confluence also exists, where the 1W and 1M chart are also bearish.
Common Mistakes
Chasing late signals – Avoid entering if the Shift Sync trigger has been active for a long time. Instead, wait for a Shift Sync Pullback to look for opportunities to join in the direction of the trend.
Ignoring higher timeframe bias – Taking Shift Sync setups against the daily, weekly, or monthly trend reduces follow-through potential and increases the risk of a failed move.
🔷 Micro Shift Oscillator (MSO)
The image above highlights the Micro Shift Oscillator (MSO)
The MSO is the finishing touch to the FSO and HSO — the fastest and most reactive of the three. It’s built to spot pullback opportunities when the FSO and HSO are aligned, helping traders join strong price moves at the right time.
The MSO may reveal the earliest signs of a momentum shift, but that’s not its primary role. Its purpose is to identify retracement and pullback opportunities within the overarching trend, allowing traders to join the move while momentum remains intact.
🔷 Playbook Strategy: Shift Sync Pullback
Key Levels:
MSO Upside Trigger: +3
MSO Downside Trigger: -3
🔹 UpShift Pullback
Momentum Confirmation:
FSO > +20 – Mid-term momentum is strongly bullish.
HSO > +4 – Short-term momentum confirms alignment with the FSO.
Pullback Trigger:
MSO ≤ -3 – Signals a short-term retracement within the ongoing bullish trend and marks the earliest re-entry opportunity.
Entry Zone:
The blue arrow on the top chart shows where momentum remains intact while price pulls back into a zone primed for a move higher.
Setup Validity: Both FSO and HSO must remain above their bullish thresholds during the pullback.
Invalid Example:
If either the FSO or HSO drop below their bullish thresholds, momentum alignment breaks. No trade is taken.
🔹 DownShift Pullback
Momentum Confirmation:
FSO < -20 – Mid-term momentum is strongly bearish.
HSO < -4 – Short-term momentum aligns with the FSO, confirming seller dominance.
Pullback Trigger:
MSO ≥ +3 – Indicates a short-term retracement against the bearish trend, pointing to possible short-entry opportunities.
Entry Zone:
The purple arrow on the top chart marks valid pullback conditions — all three oscillators meet their bearish thresholds, and price is positioned to continue lower.
Setup Validity: Both FSO and HSO must remain below their bearish thresholds during the pullback.
Invalid Example:
If either oscillator rises above the bearish threshold, momentum alignment is lost and the MSO signal is ignored.
Why It Works
Even in strong trends, price rarely moves in a straight line. Supply and demand dynamics naturally create retracements as traders take profits, bet on reversals, or hedge positions.
While many momentum traders fear these pullbacks, they’re often the fuel for the next leg of the move — offering a “second chance” to join the trend at a more favorable price.
The Shift Sync Pullback pinpoints moments when both short-term (HSO) and mid-term (FSO) momentum remain firmly aligned, even as price moves temporarily against the trend. This alignment suggests the retracement is a pause, not a reversal.
By entering during a controlled pullback, traders often secure better entries, tighter stops, and stronger follow-through potential when the trend resumes.
Best Market Conditions:
Works best when the higher timeframe (daily, weekly, or monthly) is trending in the same direction as the pullback setup.
Consistent momentum is ideal — avoid erratic, news-driven chop.
Following a recent breakout (Gate Breaker setup) when momentum is still fresh.
Common Mistakes
Ignoring threshold breaks – Entering when either HSO or FSO dips through their momentum threshold often leads to taking trades in weakening trends.
Trading against higher timeframe bias – A pullback against the daily or weekly trend is more likely to fail; use higher timeframe confluence as a filter.
🔷 Macro Shift Oscillator (MaSO)
The chart above shows the MaSO in isolation.
While the MaSO is not part of any active Kio IQ playbook strategies, it delivers the clearest view of the prevailing macro trend.
MaSO > 0 – Macro trend is bullish. Readings above +4 signal extreme bullish conditions.
MaSO < 0 – Macro trend is bearish. Readings below -4 signal extreme bearish conditions.
Use the MaSO for context, not entries — it frames the environment in which all other signals occur
🔷 Shift Gates – Kio IQ Momentum Barriers
The image above shows UpShift Gates.
UpShift Gates mark the highest price reached during periods when the FSO is above +20 — moments when mid-term momentum is firmly bullish and buyers are in control.
UpShift Gates are upside breakout levels — key swing highs formed before a pullback during periods of strong bullish momentum. When price reclaims an UpShift Gate with momentum confirmation, it signals a potential continuation of the uptrend.
The image above shows DownShift Gates.
DownShift Gates Mark The Lowest Price Reached During Periods When The FSO Is Below -20 — Moments When Mid-Term Momentum Is Firmly Bearish And Sellers Are In Control.
DownShift Gates are downside breakout levels — key swing lows formed before an upside pullback during periods of strong bearish momentum. When price reclaims a DownShift Gate with momentum confirmation, it signals a potential continuation of the downtrend.
🔷 Playbook Strategy: Gate Breakers
Core Rule:
Long signal when price decisively closes beyond an UpGate (for longs) or DownGate (for shorts). The breakout must show commitment — no wick-only tests.
🔹 UpGate Breaker (UpGate)
Trigger: Price closes above the UpShift Gate level.
Bonus Confluence: MaSO > 0 at the moment of the break — confirms that the macro trend bias is in favor of the breakout.
Invalidation: Avoid taking the signal if the gate level forms part of a DownShift Rift (bearish divergence) — this signals underlying weakness despite the break.
The chart above shows valid UpGate Breakers.
The chart above shows an invalidated UpGate Breaker setup.
🔹 DownGate Breaker (DownGate)
Trigger: Price closes below the DownShift Gate level.
Bonus Confluence: MaSO < 0 at the moment of the break — confirms that the macro trend bias is in favor of the breakdown.
Invalidation: Avoid taking the trade if the gate level forms part of an UpShift Rift (bullish divergence) — this signals underlying strength despite the break.
The chart above shows a valid DownGate Breaker.
Why It Works
Key swing levels like Shift Gates attract a high concentration of resting orders — stop losses from traders caught on the wrong side and breakout orders from momentum traders waiting for confirmation.
When price decisively clears a gate with a strong close, these orders trigger in quick succession, creating a burst of directional momentum.
Adding the MaSO filter ensures you’re breaking gates with the prevailing macro bias, improving the odds that the move will continue rather than stall.
The divergence-based invalidation rule (Rift filter) prevents entries when underlying momentum is moving in the opposite direction, helping avoid “fake breakouts” that trap traders.
Best Market Conditions:
Works best in markets with clear trend structure and visible Shift Gates (not during chop).
Strongest when higher timeframe (1D, 1W, 1M) momentum aligns with the breakout direction.
MaSO > 0 for bullish breakouts, MaSO < 0 for bearish breakouts
Most reliable after a period of consolidation near the gate, where pressure builds before the break.
Common Mistakes
Trading wick-only tests – A breakout without a decisive candle close beyond the gate often fails.
Ignoring MaSO bias – Taking a break in the opposite macro direction greatly reduces follow-through odds.
Skipping the Rift filter – Entering when the gate forms part of a divergence setup exposes you to higher reversal risk.
Chasing extended moves – If price is already far beyond the gate by the time you see it, risk/reward is poor; wait for the next setup or a retest.
🔷 Shift Rifts - Kio IQ Divergences
This chart shows an UpShift Rift — a bullish divergence where price action and momentum part ways, signaling a potential trend reversal or acceleration.
Setup:
Price Action: Price is marking lower lows, indicating short-term weakness.
FSO Reading: The Full Shift Oscillator (FSO) is marking higher lows over the same period, showing underlying momentum strengthening despite falling prices.
The rift between price and the FSO suggests selling pressure is losing force while buyers quietly regain control.
When confirmed by broader trend alignment in Kio IQ’s multi-timeframe momentum table, the UpShift Rift becomes a setup for a bullish move.
This chart shows a DownShift Rift — a bearish divergence where price action and momentum split, signaling a potential downside reversal.
Setup:
Price Action: Price is marking higher highs, suggesting continued strength on the surface.
FSO Reading: The Full Shift Oscillator (FSO) is marking lower highs over the same period, revealing weakening momentum beneath the price advance.
The rift between price and momentum signals that buying pressure is fading, even as price makes new highs. This disconnect often precedes a momentum shift in favor of sellers.
When aligned with multi-timeframe bearish signals in Kio IQ’s momentum table, the DownShift Rift becomes a strong setup for downside continuation or reversal.
🔷 Playbook Strategy: Rift Reversal
The Rift Reversal is a divergence-based reversal play that signals when momentum is fading and an trend reversal is likely. It’s designed to catch early turning points before the broader market catches on.
Trader’s Note:
This strategy is not intended for beginners — it requires confidence in reading divergence and trusting momentum shifts even when price action still appears weak. Best suited for traders experienced in managing reversals, as entries often occur before the broader market confirms the move.
🔹 UpRift Reversal
Core Setup:
Price Action – Forms a lower low.
Momentum Rift – The FSO forms a higher low, signaling bullish divergence and weakening selling pressure.
Trigger:
A confirmed UpRift Reversal signal is printed when:
Bullish Divergence is detected — price makes a new low, but the oscillator fails to confirm.
Momentum begins turning up from the divergence low (marked on chart as ⇝)
The image above shows a valid UpRift Reversal play.
🔹 DownRift Reversal
Core Setup:
Price Action – Forms a higher high.
Momentum Rift – The FSO forms a lower high, signaling bearish divergence and weakening buying pressure.
Trigger
A confirmed DownRift Reversal signal is printed when:
Bearish Divergence is detected — price makes a new high, but the oscillator fails to confirm.
Momentum begins turning down from the divergence high (marked on chart as ⇝).
Why It Works
Shift Rifts work because momentum often fades before a price reverses.
Price is the final scoreboard — it reflects what has already happened. Momentum, on the other hand, is a leading indicator of pressure. When the FSO begins to move in the opposite direction of price, it signals that the dominant side in the market is losing steam, even if the scoreboard hasn’t flipped yet.
In an UpShift Rift, sellers keep pushing price lower, but each push has less force — buyers are quietly building pressure under the surface.
In a DownShift Rift, buyers keep marking new highs, but they’re spending more effort for less result — sellers are starting to take control.
These disconnects happen because large participants often scale into or out of positions gradually, creating momentum shifts before price reflects it. Shift Rifts capture those turning points early.
Best Market Conditions:
Best in markets that have been trending strongly but are starting to show signs of exhaustion.
Works well after a prolonged move into key support/resistance, where large players may take profits or reverse positions.
Higher win potential when the Rift aligns with higher timeframe momentum bias in Kio IQ’s multi-timeframe table.
Common Mistakes
Forcing Rifts in choppy markets – In sideways chop, small oscillations can look like divergences but lack conviction.
Ignoring multi-timeframe bias – Trading an UpShift Rift when higher timeframes are strongly bearish (or vice versa) reduces follow-through odds.
Entering too early – Divergences can extend before reversing; wait for momentum to confirm a turn (⇝) before making a trading decision.
Confusing normal pullbacks with Rifts – Not every dip in momentum is a divergence; the Rift requires a clear and opposing trend between price and FSO.
🔷 Shift Count – Momentum Stage Tracker
Purpose:
Shift Count measures how far a bullish or bearish push has progressed, from its first spark to potential exhaustion.
It tracks momentum in defined steps so traders can instantly gauge whether a move is just starting, picking up steam, fully extended, or at risk of reversing.
How It Works
Bullish Momentum:
Start (1–2) → New momentum emerging, early entry window.
Acceleration (3–4) → Momentum in full swing, best for holding or adding to a position.
Extreme Bullish Momentum / Final Stages (5) → Watch for signs of reversal or take partial profits.
Exhaust – Can only occur after 5 is reached, signaling that the rally may be losing steam.
Bearish Momentum:
Start (-1 to -2) → New selling pressure emerging.
Acceleration (-3 to -4) → Bear trend accelerating.
Extreme Bearish Momentum / Final Stages (-5) → Watch for reversal or scale out.
Exhaust – Can only occur after -5 is reached, signaling that the sell-off may be running out of force.
The chart above shows a full 5-UpShift count.
The chart above shows a full 5-DownShift count.
Why It’s Useful
Markets often move in momentum “steps” before reversing or taking a breather.
Shift Count makes these steps visible, helping traders:
Spot the early stages of a potential move.
Identify when a move is picking up steam.
Identify when a move is mature and vulnerable to reversal.
Combine with other Kio IQ strategies for better-timed entries and exits.
Why This Works
It’s visually obvious where you are in the momentum cycle without overthinking.
You can build rules like:
Only enter in Start phase when higher timeframe agrees.
Manage positions aggressively once in Acceleration phase.
Be ready to exit or fade in Exhaust phase.
Best Market Conditions
Trending markets where pullbacks are shallow.
Works best when combined with Shift Sync Pullback or Gate Breaker triggers to confirm timing.
Higher timeframe direction confluence.
Common Mistakes
Treating Exhaust as always a reversal — sometimes strong markets push past 5/-5 multiple times.
Ignoring higher timeframe bias — a “Start” on a 1-minute chart against a strong daily trend is much riskier.
🔷 Playbook Strategy: Exhaust Flip
Core idea: When Shift Count reaches 5 (or -5) and then prints Exhaust, momentum has likely climaxed, whether temporarily or leading to a full reversal. We take the first qualified signal against the prior move.
Trader’s Note:
This strategy is not intended for beginners — it requires confidence in trusting momentum shifts even when price action still appears strong. Best suited for traders experienced in managing reversals, as entries often occur before the broader market confirms the move.
🔹 UpExhaust Flip (fade a bullish run)
Setup:
Shift Count hits 5, then an Exhaust print occurs.
Invalidation
The local high is broken to the upside.
The chart above explains the UpExhaust Flip strategy in greater detail.
🔹 DownExhaust Flip (fade a bearish run)
Setup:
Shift Count hits -5, then an Exhaust print occurs.
Invalidation
The local low is broken to the downside.
The chart above explains the DownExhaust Flip strategy in greater detail.
Bonus Confluence (optional, not required)
Rift assist: An UpShift Rift (for longs) or DownShift Rift (for shorts) near Exhaust strengthens the flip.
MaSO context: Neutral or opposite-leaning MaSO helps. Avoid flips straight against a strong MaSO bias unless you have a structure break.
Why It Works
Exhaust marks climax behavior: the prior side has pushed hard, then failed to extend after meeting significant pushback. Liquidity gets thin at the edges; aggressive profit-taking meets early contrarians. A small confirmation (micro structure break or HSO turn) is often enough to flip the tape for a snapback.
Best Market Conditions
After extended, one-sided runs (multiple Shift Count steps without meaningful pullbacks).
Near Shift Gates or obvious swing extremes where trapped orders cluster.
When higher-timeframe momentum is neutral or softening (you’re fading the last thrust of a decisive move, not a fresh trend).
Common Mistakes
Fading too early: Taking the trade at 5 without waiting for the Exhaust.
Fading freight trains: Fighting a fresh Shift Sync in the same direction right after Exhaust (often just a pause).
No structure reference: Entering without a clear micro swing to anchor risk.
🔷 MTF Shift Table
The MTF Shift Table table provides a compact, multi-timeframe view of market momentum shifts. Each cell represents the current shift count within a given timeframe, while the classification label indicates whether momentum is strong, weak, or normal.
The chart above further outlines the MTF Shift Table.
Why It Works
Markets rarely move in a perfectly linear fashion — momentum develops, stalls, and transitions at different speeds across different timeframes. This table allows you to:
See momentum alignment at a glance – If multiple higher and lower timeframes show a sustained shift count in the same direction, the move has greater structural support.
Spot divergences early – A shorter timeframe reversing against a longer-term sustained count can warn of potential pullbacks or trend exhaustion before price confirms.
Identify “momentum stacking” opportunities – When shift counts escalate across timeframes in sequence, it often signals a stronger and more durable move.
Avoid false enthusiasm – A single timeframe spike without agreement from other periods may be noise rather than genuine momentum.
The Trend Score provides a concise, at-a-glance evaluation of an asset’s directional strength across multiple timeframes. It distills complex momentum and Shift data into a single, easy-to-read metric, allowing traders to quickly determine whether the prevailing conditions favor bullish or bearish continuation. The Trend Scale scales from -100 to 100.
How to Use It in Practice
Trend Confirmation – Confirm that your intended trade direction is backed by multiple timeframes maintaining consistent momentum.
Risk Timing – Reduce position size or take partial profits when lower timeframes begin shifting against the dominant momentum classification.
Multi-timeframe Confluence – Combine with other system signals (e.g., FSO, HSO) for higher-probability entries.
This table effectively turns a complex multi-timeframe read into a single, glanceable heatmap of momentum structure, enabling quicker and more confident decision-making.
The MTF Shift Table is the confluence backbone of every playbook strategy for Kio IQ.
🔷 Momentum Meter
The Momentum Meter is a composite gauge built from three of Kio IQ’s core momentum engines:
HSO – Short-term momentum scout
FSO – Mid-term momentum backbone
MaSO – Macro trend context
By combining these three readings, the meter provides the most strict and lagging momentum classification in Kio IQ.
It only flips direction when a composite score of all three oscillators reach defined thresholds, filtering out short-lived counter-moves and false starts.
Why It Works
Many momentum tools flip too quickly — reacting to short-lived spikes that don’t represent real directional commitment. The Momentum Meter avoids this by requiring alignment across short, mid, and macro momentum engines before it shifts bias.
This triple-confirmation rule filters out noise, catching only those moments when traders of all speeds — scalpers, swing traders, and long-term participants — are leaning in the same direction. When that happens, price movement tends to be more sustained and less prone to immediate reversal.
In other words, the Momentum Meter doesn’t just tell you “momentum looks good” — it tells you momentum looks good to everyone who matters, across all horizons.
How It Works
Blue = All three engines align bullish.
Pink = All three engines align bearish.
The meter ignores smaller pullbacks or temporary oscillations that might flip the faster indicators — it waits for total alignment before changing state.
Because of this strict confirmation requirement, the Momentum Meter reacts slower but delivers higher-conviction shifts.
How to Interpret Readings
Blue (Bullish Alignment):
Sustained buying pressure across short, mid, and macro views. Often marks the “full confirmation” stage of a move.
Pink (Bearish Alignment):
Sustained selling pressure across all views. Confirms sellers are in control.
Practical Uses
Trend Followers – Use as a “stay-in” confirmation once a position is already open.
Swing Traders – Great for filtering out low-conviction setups; if the Momentum Meter disagrees with your intended direction, conditions aren’t fully aligned.
Confluence and Direction Filter – The Momentum Meter can be used as a form of confluence i.e. blue = longs only, pink = shorts only.
Limitations
Will always turn after the faster oscillators (HSO/MSO). This is intentional.
Works best in trending markets — in choppy conditions it may lag shifts significantly.
Should be used as a bias filter, not a standalone entry signal.
🔷 Trend Strength Meter
The Trend Strength Meter is a compact visual gauge that scores the current trend’s strength on a scale from -5 to +5:
+5 = Extremely strong bullish trend
0 = Neutral, no clear trend
-5 = Extremely strong bearish trend
This is an optional tool in Kio IQ — designed for quick reference rather than as a primary trading trigger.
Why it works
Single-indicator trend reads can be misleading — they might look strong on one metric while quietly weakening on another. The Trend Strength Meter solves this by blending multiple inputs (momentum alignment, structure persistence, and multi-timeframe data) into one composite score.
This matters because trend health isn’t just about direction — it’s about persistence. A +5 or -5 score means the market is not only trending but holding that trend with structural support across multiple timeframes.
By tracking both direction and staying power, the Trend Strength Meter flags when a move is at risk of fading before price action fully confirms it — giving you a head start on adjusting your position or taking profits.
How It Works
The Trend Strength Meter evaluates multiple market inputs — including momentum alignment, price structure, and persistence — to assign a numeric value representing how firmly the current move is holding.
The scoring logic:
Positive values indicate bullish conditions.
Negative values indicate bearish conditions.
Higher magnitude (closer to ±5) = stronger conviction in that direction.
Values near zero suggest the market is in a transition or range.
How to Interpret Readings
+4 to +5 (Strong Up) – Trend is well-established, often with multi-timeframe agreement.
+1 to +3 (Up) – Bullish bias present, but not at maximum conviction.
0 (Neutral) – No dominant trend; could be consolidation or pre-shift phase.
-1 to -3 (Down) – Bearish bias present but moderate.
-4 to -5 (Strong Down) – Trend is firmly bearish, with consistent downside momentum.
Why It Works
A single timeframe or momentum reading can give a false sense of trend health.
The Trend Strength Meter aggregates multiple layers of market data into one simplified score, making it easy to see whether a move has the underlying support to continue — or whether it’s more likely to stall.
Because the score considers both direction and persistence, it can flag when a move is losing strength even before price structure fully shifts.
🔷 Kio IQ – Supplemental Playbook Strategies
These phases are part of the Kio IQ Playbook—situational tools that can help you anticipate potential momentum changes.
While they can be useful for planning and tactical adjustments, they are not primary trade triggers and should be treated as early, lower-conviction cues.
🔹 1. Scouting Phase (Light Early Cue)
Purpose: Provide the earliest possible hint that momentum may be shifting.
Upshift Trigger: FSO crosses above the 0 line.
Downshift Trigger: FSO crosses below the 0 line.
Why It Works
The 0 line in the Full Shift Oscillator (FSO) acts as a neutral momentum boundary.
When the FSO moves above 0, it suggests that medium-term momentum has shifted to bullish territory.
When it moves below 0, it suggests that medium-term momentum has shifted to bearish territory.
This crossover is often the first measurable sign of a momentum reversal or acceleration, well before slower indicators confirm it.
Think of it as "momentum poking its head above water"—you’re spotting the change before it becomes obvious on price alone.
Best Use
Works best when confirmed later by Lookout Phase or other primary Kio IQ signals.
Ideal for scouting in anticipation of potential opportunities.
Helpful when monitoring multiple assets and you want a quick filter for shifts worth watching.
Can act as a trade trigger when the MTF Shift Table shows confluence (i.e., UpShift Scouting Signal + Bullish MTF Table + High Trend Strength Score).
Common Mistakes
Acting on Scouting Phase signals against the MTF Shift Table as a stand-alone trade trigger. Without higher timeframe alignment or additional confirmation, many Scouting Phase crossovers can fade quickly or reverse, leading to premature entries.
Ignoring market context
A bullish Scouting Phase in a strong downtrend can easily fail.
Always check higher timeframe trend alignment.
Overreacting to noise: On lower timeframes, small fluctuations can create false scouting signals.
Best Practices
Filter with trend: Only act on Scouting Phases that align with the dominant higher timeframe trend.
Watch volatility: In low-volatility conditions, false scouting triggers are more likely.
🔹 2. Lookout Phase (Early Momentum Alert)
Purpose:
The Lookout Phase signals an early alert that momentum is potentially strengthening in a given direction. It’s more meaningful than the Scouting Phase, but still considered a preliminary cue.
Triggers:
Upshift: FSO crosses above the HSO.
Downshift: FSO crosses below the HSO.
Why It Works:
The Lookout Phase is designed to identify moments when mid-term momentum (FSO) overtakes short-term momentum (HSO). Since the FSO is smoother and reacts more gradually, its crossover of the faster-reacting HSO can indicate a shift from short-lived fluctuations to a more sustained directional move.
This makes it a valuable early read on momentum transitions—especially when supported by higher-timeframe context.
Best Practices:
Always check the MTF Shift Table for higher-timeframe alignment before acting on a Lookout Phase signal.
Look for confluence with the Momentum Meter
Treat Lookout Phase entries as probing positions—small, exploratory trades that can be scaled into if follow-through develops.
Common Mistakes:
Treating Lookout Phase signals as a definitive trade trigger without context
Entering solely on a Lookout Phase crossover, without considering the MTF Shift Table or broader market structure, can result in chasing short-lived momentum bursts that fail to follow through.
Ignoring prevailing higher-timeframe momentum
Trading a Lookout Phase signal that is counter to the dominant trend or higher-timeframe bias increases the risk of whipsaws and false moves.
🔶 Summary
Kio IQ is an all-in-one trading indicator that combines momentum, trend strength, multi-timeframe analysis, divergences, pullbacks, and exhaustion alerts into a clear, structured view. It helps traders cut through market noise by showing whether a move is strong, weak, a trap, or simply part of a larger trend. With tools like the Full Shift Oscillator, Multi-Timeframe Shift Table, Shift Gates, and Rift Divergences, Kio IQ simplifies complex market behavior into easy-to-read signals. It’s designed to help traders spot early shifts, align with momentum, and recognize when trends are building or losing steam—all in one place.
VWAP For Loop [BackQuant]VWAP For Loop
What this tool does—in one sentence
A volume-weighted trend gauge that anchors VWAP to a calendar period (day/week/month/quarter/year) and then scores the persistence of that VWAP trend with a simple for-loop “breadth” count; the result is a clean, threshold-driven oscillator plus an optional VWAP overlay and alerts.
Plain-English overview
Instead of judging raw price alone, this indicator focuses on anchored VWAP —the market’s average price paid during your chosen institutional period. It then asks a simple question across a configurable set of lookback steps: “Is the current anchored VWAP higher than it was i bars ago—or lower?” Each “yes” adds +1, each “no” adds −1. Summing those answers creates a score that reflects how consistently the volume-weighted trend has been rising or falling. Extreme positive scores imply persistent, broad strength; deeply negative scores imply persistent weakness. Crossing predefined thresholds produces objective long/short events and color-coded context.
Under the hood
• Anchoring — VWAP using hlc3 × volume resets exactly when the selected period rolls:
Day → session change, Week → new week, Month → new month, Quarter/Year → calendar quarter/year.
• For-loop scoring — For lag steps i = , compare today’s VWAP to VWAP .
– If VWAP > VWAP , add +1.
– Else, add −1.
The final score ∈ , where N = (end − start + 1). With defaults (1→45), N = 45.
• Signal logic (stateful)
– Long when score > upper (e.g., > 40 with N = 45 → VWAP higher than ~89% of checked lags).
– Short on crossunder of lower (e.g., dropping below −10).
– A compact state variable ( out ) holds the current regime: +1 (long), −1 (short), otherwise unchanged. This “stickiness” avoids constant flipping between bars without sufficient evidence.
Why VWAP + a breadth score?
• VWAP aggregates both price and volume—where participants actually traded.
• The breadth-style count rewards consistency of the anchored trend, not one-off spikes.
• Thresholds give you binary structure when you need it (alerts, automation), without complex math.
What you’ll see on the chart
• Sub-pane oscillator — The for-loop score line, colored by regime (long/short/neutral).
• Main-pane VWAP (optional) — Even though the indicator runs off-chart, the anchored VWAP can be overlaid on price (toggle visibility and whether it inherits trend colors).
• Threshold guides — Horizontal lines for the long/short bands (toggle).
• Cosmetics — Optional candle painting and background shading by regime; adjustable line width and colors.
Input map (quick reference)
• VWAP Anchor Period — Day, Week, Month, Quarter, Year.
• Calculation Start/End — The for-loop lag window . With 1→45, you evaluate 45 comparisons.
• Long/Short Thresholds — Default upper=40, lower=−10 (asymmetric by design; see below).
• UI/Style — Show thresholds, paint candles, background color, line width, VWAP visibility and coloring, custom long/short colors.
Interpreting the score
• Near +N — Current anchored VWAP is above most historical VWAP checkpoints in the window → entrenched strength.
• Near −N — Current anchored VWAP is below most checkpoints → entrenched weakness.
• Between — Mixed, choppy, or transitioning regimes; use thresholds to avoid reacting to noise.
Why the asymmetric default thresholds?
• Long = score > upper (40) — Demands unusually broad upside persistence before declaring “long regime.”
• Short = crossunder lower (−10) — Triggers only on downward momentum events (a fresh breach), not merely being below −10. This combination tends to:
– Capture sustained uptrends only when they’re very strong.
– Flag downside turns as they occur, rather than waiting for an extreme negative breadth.
Tuning guide
Choose an anchor that matches your horizon
– Intraday scalps : Day anchor on intraday charts.
– Swing/position : Month or Quarter anchor on 1h/4h/D charts to capture institutional cycles.
Pick the for-loop window
– Larger N (bigger end) = stronger evidence requirement, smoother oscillator.
– Smaller N = faster, more reactive score.
Set achievable thresholds
– Ensure upper ≤ N and lower ≥ −N ; if N=30, an upper of 40 can never trigger.
– Symmetric setups (e.g., +20/−20) are fine if you want balanced behavior.
Match visuals to intent
– Enabling VWAP coloring lets you see regime directly on price.
– Background shading is useful for discretionary reading; turn it off for cleaner automation displays.
Playbook examples
• Trend confirmation with disciplined entries — On Month anchor, N=45, upper=38–42: when the long regime engages, use pullbacks toward anchored VWAP on the main pane for entries, with stops just beyond VWAP or a recent swing.
• Downside transition detection — Keep lower around −8…−12 and watch for crossunders; combine with price losing anchored VWAP to validate risk-off.
• Intraday bias filter — Day anchor on a 5–15m chart, N=20–30, upper ~ 16–20, lower ~ −6…−10. Only take longs while score is positive and above a midline you define (e.g., 0), and shorts only after a genuine crossunder.
Behavior around resets (important)
Anchored VWAP is hard-reset each period. Immediately after a reset, the series can be young and comparisons to pre-reset values may span two periods. If you prefer within-period evaluation only, choose end small enough not to bridge typical period length on your timeframe, or accept that the breadth test intentionally spans regimes.
Alerts included
• VWAP FL Long — Fires when the long condition is true (score > upper and not in short).
• VWAP FL Short — Fires on crossunder of the lower threshold (event-driven).
Messages include {{ticker}} and {{interval}} placeholders for routing.
Strengths
• Simple, transparent math — Easy to reason about and validate.
• Volume-aware by construction — Decisions reference VWAP, not just price.
• Robust to single-bar noise — Needs many lags to agree before flipping state (by design, via thresholds and the stateful output).
Limitations & cautions
• Threshold feasibility — If N < upper or |lower| > N, signals will never trigger; always cross-check N.
• Path dependence — The state variable persists until a new event; if you want frequent re-evaluation, lower thresholds or reduce N.
• Regime changes — Calendar resets can produce early ambiguity; expect a few bars for the breadth to mature.
• VWAP sensitivity to volume spikes — Large prints can tilt VWAP abruptly; that behavior is intentional in VWAP-based logic.
Suggested starting profiles
• Intraday trend bias : Anchor=Day, N=25 (1→25), upper=18–20, lower=−8, paint candles ON.
• Swing bias : Anchor=Month, N=45 (1→45), upper=38–42, lower=−10, VWAP coloring ON, background OFF.
• Balanced reactivity : Anchor=Week, N=30 (1→30), upper=20–22, lower=−10…−12, symmetric if desired.
Implementation notes
• The indicator runs in a separate pane (oscillator), but VWAP itself is drawn on price using forced overlay so you can see interactions (touches, reclaim/loss).
• HLC3 is used for VWAP price; that’s a common choice to dampen wick noise while still reflecting intrabar range.
• For-loop cap is kept modest (≤50) for performance and clarity.
How to use this responsibly
Treat the oscillator as a bias and persistence meter . Combine it with your entry framework (structure breaks, liquidity zones, higher-timeframe context) and risk controls. The design emphasizes clarity over complexity—its edge is in how strictly it demands agreement before declaring a regime, not in predicting specific turns.
Summary
VWAP For Loop distills the question “How broadly is the anchored, volume-weighted trend advancing or retreating?” into a single, thresholded score you can read at a glance, alert on, and color through your chart. With careful anchoring and thresholds sized to your window length, it becomes a pragmatic bias filter for both systematic and discretionary workflows.
Adaptive HMA Trendfilter & Profit Spikes📌 Short Description (appears in the library)
Adaptive trend-following filter using Hull Moving Average (HMA) slope.
Includes optional Keltner Channel entries/exits and dynamic spike-based take-profit markers (ATR/Z-Score).
Optional Fast HMA for early entry visualization (not included in logic).
HMA Trend Master (KC Exits + Spike TP) – User Guide
1) Quick Overview
Trend Filter: Slow HMA defines Bull / Bear / Sideways (via slope & direction).
Entries / Exits:
Entry: Color change of the slow HMA (red→green = Long, green→red = Short), optionally filtered by the Keltner basis.
Exit: Preferably via Keltner Band (Long: Close under Upper Band; Short: Close above Lower Band).
Fallback: exit on opposite HMA color change.
Take-Profit Spikes: Marks abnormal moves (ATR, Z-Score, or both) as discretionary TP signals.
Fast HMA (optional): Purely visual for early entry opportunities; not part of the core trading logic (see §5).
2) Adding & Basic Setup
Add the indicator to your chart.
Open Settings (gear icon) and configure:
HMA: Slow HMA Length = 55, Slope Lookback = 10, Slope Threshold = 0.20%.
Keltner: KC Length = 20, Multiplier = 1.5.
Spike-TP: Mode = ATR+Z, ATR Length = 14, Z Length = 20, Cooldown = 5.
Optionally: enable Fast HMA (e.g., length = 20).
3) Input Parameters – Key Controls
Slow HMA Length: Higher = smoother, fewer but cleaner signals.
Slope Lookback: How far back HMA slope is compared against.
Slope Threshold (%): Minimum slope to avoid “Sideways” regime.
KC Length / Multiplier: Width and reactivity of Keltner Channels.
Exits via KC Bands: Toggle on/off (recommended: on).
Entries only above/below KC Basis: Helps filter out chop.
Spike Mode: Choose ATR, Z, or ATR+Z (stricter, fewer signals).
Spikes only when in position: TP markers show only when you’re in a trade.
4) Entry & Exit Logic
Entries
Long: Slow HMA turns from red → green, and (if filter enabled) Close > KC Basis.
Short: Slow HMA turns from green → red, and (if filter enabled) Close < KC Basis.
Exits
KC Exit (recommended):
Long → crossunder(close, Upper KC) closes trade.
Short → crossover(close, Lower KC).
Fallback Exit: If KC Exits are off → exit on opposite HMA color change.
Spike-TP (Discretionary)
Marks unusually large deviations from HMA.
Use for partial profits or tightening stops.
⚠️ Not auto-traded — only marker/alert.
5) Early Entry Opportunities (Fast HMA Cross – visual only)
The script can optionally display a Fast HMA (e.g., 20) alongside the Slow HMA (e.g., 55).
Bullish early hint: Fast HMA crosses above Slow HMA, or stays above, before the Slow HMA officially turns green.
Bearish early hint: opposite.
⚠️ These signals are not part of the built-in logic — they are purely discretionary:
Advantage: Earlier entries, more profit potential.
Risk: Higher chance of whipsaws.
Practical workflow (early long entry):
Fast HMA crosses above Slow HMA AND Close > KC Basis.
Enter small position with tight stop (under KC Basis or HMA swing).
Once Slow HMA confirms green → add to position or trail stop tighter.
6) Recommended Presets
Crypto (1h/2h):
HMA: 55 / 10 / 0.20–0.30%
KC: 20 / 1.5–1.8
Spikes: ATR+Z, ATR=14, Z=20, Cooldown 5
FX (1h/4h):
HMA: 55 / 8–10 / 0.10–0.25%
KC: 20 / 1.2–1.5
Indices (15m/1h):
HMA: 50–60 / 8–12 / 0.15–0.30%
KC: 20 / 1.3–1.6
Fine-tuning:
Too noisy? → Raise slope threshold or increase HMA length.
Too sluggish? → Lower slope threshold or shorten HMA length.
7) Alerts – Best Practice
Long/Short Entry – get notified when trend color switches & KC filter is valid.
Long/Short Exit – for KC exits or fallback exits.
Long/Short Spike TP – for discretionary profit-taking.
Set via TradingView: Create Alert → Select this indicator → choose condition.
8) Common Pitfalls & Tips
Too many false signals?
Raise slope threshold (more “Sideways” filtering).
Enable KC filter for entries.
Entries too late?
Use Fast HMA cross for early discretionary entries.
Or lower slope threshold slightly.
Spikes too rare/frequent?
More frequent → ATR mode or lower ATR multiplier / Z-threshold.
Rarer but stronger → ATR+Z with higher thresholds.
9) Example Playbook (Long Trade)
Regime: Slow HMA still red, Fast HMA crosses upward (early hint).
Filter: Close > KC Basis.
Early Entry: Small size, stop below KC Basis or recent swing low.
Confirmation: Slow HMA turns green → scale up or trail stop.
Management: Partial profits at Spike-TP marker; full exit at KC upper band break.
Daily Seasonality Strength + PredictionDaily Seasonality Strength + Prediction
Seasonality Strength:
This indicator measures seasonality strength by comparing predicted seasonal returns with actual returns, using the inverse of MSE (higher values mean stronger seasonality).
This script is for informational and educational purposes only. It does not constitute financial, investment, or trading advice. I am not a financial advisor. Any decisions you make based on this indicator are your own responsibility. Always do your own research and consult with a qualified financial professional before making any investment decisions.
Past performance is no guarantee of future results. The value of the instruments may fluctuate and is not guaranteed
Daily Seasonality Strength + Prediction TableDaily Seasonality Strength + Prediction Table
Return Estimates:
This indicator uses historical price data to calculate average returns for each day (of the week or month) and uses these to predict the next day’s return.
Seasonality Strength:
It measures seasonality strength by comparing predicted returns with actual returns, using the inverse of MSE (higher values mean stronger seasonality).
supports up to 10 assets
This script is for informational and educational purposes only. It does not constitute financial, investment, or trading advice. I am not a financial advisor. Any decisions you make based on this indicator are your own responsibility. Always do your own research and consult with a qualified financial professional before making any investment decisions.
Past performance is no guarantee of future results. The value of the instruments may fluctuate and is not guaranteed
Volume Profile Grid [Alpha Extract]A sophisticated volume distribution analysis system that transforms market activity into institutional-grade visual profiles, revealing hidden support/resistance zones and market participant behavior. Utilizing advanced price level segmentation, bullish/bearish volume separation, and dynamic range analysis, the Volume Profile Grid delivers comprehensive market structure insights with Point of Control (POC) identification, Value Area boundaries, and volume delta analysis. The system features intelligent visualization modes, real-time sentiment analysis, and flexible range selection to provide traders with clear, actionable volume-based market context.
🔶 Dynamic Range Analysis Engine
Implements dual-mode range selection with visible chart analysis and fixed period lookback, automatically adjusting to current market view or analyzing specified historical periods. The system intelligently calculates optimal bar counts while maintaining performance through configurable maximum limits, ensuring responsive profile generation across all timeframes with institutional-grade precision.
// Dynamic period calculation with intelligent caching
get_analysis_period() =>
if i_use_visible_range
chart_start_time = chart.left_visible_bar_time
current_time = last_bar_time
time_span = current_time - chart_start_time
tf_seconds = timeframe.in_seconds()
estimated_bars = time_span / (tf_seconds * 1000)
range_bars = math.floor(estimated_bars)
final_bars = math.min(range_bars, i_max_visible_bars)
math.max(final_bars, 50) // Minimum threshold
else
math.max(i_periods, 50)
🔶 Advanced Bull/Bear Volume Separation
Employs sophisticated candle classification algorithms to separate bullish and bearish volume at each price level, with weighted distribution based on bar intersection ratios. The system analyzes open/close relationships to determine volume direction, applying proportional allocation for doji patterns and ensuring accurate representation of buying versus selling pressure across the entire price spectrum.
🔶 Multi-Mode Volume Visualization
Features three distinct display modes for bull/bear volume representation: Split mode creates mirrored profiles from a central axis, Side by Side mode displays sequential bull/bear segments, and Stacked mode separates volumes vertically. Each mode offers unique insights into market participant behavior with customizable width, thickness, and color parameters for optimal visual clarity.
// Bull/Bear volume calculation with weighted distribution
for bar_offset = 0 to actual_periods - 1
bar_high = high
bar_low = low
bar_volume = volume
// Calculate intersection weight
weight = math.min(bar_high, next_level) - math.max(bar_low, current_level)
weight := weight / (bar_high - bar_low)
weighted_volume = bar_volume * weight
// Classify volume direction
if bar_close > bar_open
level_bull_volume += weighted_volume
else if bar_close < bar_open
level_bear_volume += weighted_volume
else // Doji handling
level_bull_volume += weighted_volume * 0.5
level_bear_volume += weighted_volume * 0.5
🔶 Point of Control & Value Area Detection
Implements institutional-standard POC identification by locating the price level with maximum volume accumulation, providing critical support/resistance zones. The Value Area calculation uses sophisticated sorting algorithms to identify the price range containing 70% of trading volume, revealing the market's accepted value zone where institutional participants concentrate their activity.
🔶 Volume Delta Analysis System
Incorporates real-time volume delta calculation with configurable dominance thresholds to identify significant bull/bear imbalances. The system visually highlights price levels where buying or selling pressure exceeds threshold percentages, providing immediate insight into directional volume flow and potential reversal zones through color-coded delta indicators.
// Value Area calculation using 70% volume accumulation
total_volume_sum = array.sum(total_volumes)
target_volume = total_volume_sum * 0.70
// Sort volumes to find highest activity zones
for i = 0 to array.size(sorted_volumes) - 2
for j = i + 1 to array.size(sorted_volumes) - 1
if array.get(sorted_volumes, j) > array.get(sorted_volumes, i)
// Swap and track indices for value area boundaries
// Accumulate until 70% threshold reached
for i = 0 to array.size(sorted_indices) - 1
accumulated_volume += vol
array.push(va_levels, array.get(volume_levels, idx))
if accumulated_volume >= target_volume
break
❓How It Works
🔶 Weighted Volume Distribution
Implements proportional volume allocation based on the percentage of each bar that intersects with price levels. When a bar spans multiple levels, volume is distributed proportionally based on the intersection ratio, ensuring precise representation of trading activity across the entire price spectrum without double-counting or volume loss.
🔶 Real-Time Profile Generation
Profiles regenerate on each bar close when in visible range mode, automatically adapting to chart zoom and scroll actions. The system maintains optimal performance through intelligent caching mechanisms and selective line updates, ensuring smooth operation even with maximum resolution settings and extended analysis periods.
🔶 Market Sentiment Analysis
Features comprehensive volume analysis table displaying total volume metrics, bullish/bearish percentages, and overall market sentiment classification. The system calculates volume dominance ratios in real-time, providing immediate insight into whether buyers or sellers control the current price structure with percentage-based sentiment thresholds.
🔶 Visual Profile Mapping
Provides multi-layered visual feedback through colored volume bars, POC line highlighting, Value Area boundaries, and optional delta indicators. The system supports profile mirroring for alternative perspectives, line extension for future reference, and customizable label positioning with detailed price information at critical levels.
Why Choose Volume Profile Grid
The Volume Profile Grid represents the evolution of volume analysis tools, combining traditional volume profile concepts with modern visualization techniques and intelligent analysis algorithms. By integrating dynamic range selection, sophisticated bull/bear separation, and multi-mode visualization with POC/Value Area detection, it provides traders with institutional-quality market structure analysis that adapts to any trading style. The comprehensive delta analysis and sentiment monitoring system eliminates guesswork while the flexible visualization options ensure optimal clarity across all market conditions, making it an essential tool for traders seeking to understand true market dynamics through volume-based price discovery.
Price Acceleration Matrix [QuantAlgo]🟢 Overview
The Price Acceleration Matrix indicator is an advanced momentum analysis tool that measures the rate of change in price velocity across multiple timeframes simultaneously. It transforms raw price data into velocity measurements for each timeframe, then calculates the acceleration of these velocities to identify when momentum is building or deteriorating. By analyzing acceleration alignment across all three timeframes, the system can distinguish between strong directional moves (all timeframes accelerating in the same direction) and weak, choppy movements (mixed acceleration signals). This multi-timeframe acceleration matrix provides traders with early warning signals for momentum shifts, trend continuation and reversal opportunities across different timeframes and asset classes.
🟢 How It Works
The indicator employs a three-stage calculation process that transforms price data into actionable acceleration signals. First, it calculates velocity (rate of price change) for each of the three user-defined timeframes by measuring the percentage change in price over the specified lookback periods. These velocity calculations are normalized by their respective timeframe lengths to ensure fair comparison across different periods.
In the second stage, the system calculates acceleration by measuring the change in velocity from one bar to the next for each timeframe, effectively capturing the second derivative of price movement. This acceleration data reveals whether momentum is building (positive acceleration) or deteriorating (negative acceleration) at each timeframe level.
The final stage creates the acceleration matrix score by evaluating alignment across all three timeframes. When all timeframes show positive acceleration, the system averages them for maximum bullish signal strength. When all show negative acceleration, it averages them for maximum bearish signal strength. However, when acceleration signals are mixed across timeframes, the system applies a penalty by dividing the average by two, indicating consolidation or conflicting momentum forces. The resulting signal is then smoothed using an Exponential Moving Average and scaled to the -3 to +3 range using a user-defined threshold parameter.
🟢 How to Use
1. Signal Interpretation and Momentum Analysis
Positive Territory (Above Zero): Indicates accelerating upward momentum with bullish bias and favorable conditions for long positions
Negative Territory (Below Zero): Signals accelerating downward momentum with bearish bias and favorable conditions for short positions
Extreme Levels (±2 to ±3): Represent maximum acceleration alignment across all timeframes, indicating high-probability momentum continuation
Moderate Levels (±1 to ±2): Suggest building momentum with good timeframe alignment but less conviction than extreme readings
Near Zero (-0.5 to +0.5): Indicates mixed signals, consolidation, or momentum exhaustion requiring caution
2. Overbought/Oversold Zone Analysis
Above +2 (Overbought Zone): Markets showing extreme bullish acceleration may be due for profit-taking or short-term pullbacks
Below -2 (Oversold Zone): Markets showing extreme bearish acceleration may present reversal opportunities or bounce potential
Zone Exits: When acceleration retreats from extreme zones, it often signals momentum exhaustion and potential trend changes
🟢 Pro Tips for Trading
→ Early Momentum Detection: Watch for acceleration crossing above zero after periods of negative readings, as this often precedes major price movements by several bars, providing early entry opportunities before traditional indicators signal.
→ Momentum Exhaustion Signals: Exit or take profits when acceleration reaches extreme levels (±2.5 or higher) and begins to decline, even if price continues in the same direction, as momentum deterioration typically precedes price reversals.
→ Acceleration Divergence Strategy: Look for divergences between price highs/lows and acceleration peaks/troughs, as these often signal weakening momentum and potential reversal opportunities before they become apparent on price charts.
→ Threshold Optimization: Adjust the acceleration threshold based on asset volatility - higher thresholds (0.7-1.0) for volatile assets to reduce false signals, lower thresholds (0.3-0.5) for stable assets to maintain sensitivity.
→ Alert-Based Trading: Utilize the built-in alert system for bullish/bearish reversals (±2 level crosses) and trend changes (zero line crosses) to capture momentum shifts without constant chart monitoring, especially effective for swing trading approaches.
→ Risk Management Integration: Reduce position sizes when acceleration readings are weak (below ±1.0) and increase allocation when strong acceleration alignment occurs (above ±2.0), as signal strength correlates directly with probability of successful trades.
Marcius Studio® - Trend Detector™Trend Detector™ — is an advanced trend detection indicator that combines statistical Z-Score analysis with a simplified ADF stationarity test .
It is designed to help traders identify strong directional moves while filtering out noise and false signals.
Unlike traditional moving average crossovers or momentum oscillators, this tool evaluates both trend direction and trend strength , giving you a clear visual overview of market conditions.
Important! This indicator is intended for educational and informational purposes . It does not guarantee future performance and should be used together with proper risk management.
Idea
Markets spend 70–80% of the time in consolidation and only 20–30% in trending phases . The key to profitable trading is spotting when a major trend shift begins. Trend Detector™ was built exactly for this purpose — to filter noise and highlight true trend reversals.
How It Works
Calculates the Z-Score of price to detect extreme deviations from the mean.
Applies a simplified ADF t-Statistic test to confirm trend validity.
Uses an ATR-based ribbon for clean visualization of bullish/bearish phases.
Generates Buy/Sell signals when trend switches are confirmed.
Displays an Info Panel with real-time metrics: Z-Score, ADF t-Stat, Trend Strength (0–100), ATR % of price.
Features
Trend Ribbon : visually highlights bullish, bearish, or neutral phases.
Confirmation Filter : avoids false flips by requiring multiple bars of validation.
Strength Score : quantifies how powerful the current trend is.
Signal Markers : “BUY” and “SELL” alerts appear directly on the chart.
Customizable Alerts : get notified when new uptrends or downtrends are detected.
Recommendations
Works well on swing trading timeframes (1H, 4H, Daily).
Use in combination with support/resistance zones or volume profile tools for higher accuracy.
The higher the Trend Strength Score , the more reliable the trend continuation.
Indicator Settings
Analysis Period : number of bars for Z-Score & ADF test.
ATR Length : used for ribbon visualization.
Min Bars to Confirm Trend : filters false trend flips.
Show/Hide options for Ribbon, Signals, and Info Panel.
Example Settings
Timeframe : 1H or 4H
Analysis Period : 20
ATR Length : 14
Min Confirmation Bars : 2–3
Disclaimer
Trading and investing involve risk — always do your own research (DYOR) and seek professional advice. We are not responsible for any financial losses.
SONIC R BREAK FINAL (VER5)
Purpose: Capture breakouts through Support/Resistance (S/R) zones based on Pivot and filter signals using EMA 34 (High/Low/Close), EMA 89, volume, and candle structure. Includes a Higher Timeframe (H4) RSI risk warning (visual only, does not block entries).
How it works
S/R zones from Pivot
Draws Resistance and Support using ta.pivothigh/ta.pivotlow with Left/Right Bars.
S/R lines are locked with offset to reduce repaint.
EMA trend filters
EMA34 High/Low/Close build a “EMA 34 band”.
EMA89 works as the main trend filter.
Trend conditions:
Long: close above all EMA34 High/Low/Close and EMA89.
Short: close below all EMA34 High/Low/Close and EMA89.
Volume filter (optional)
Signal valid only if Volume > SMA(Volume, n).
Wick filter
Each wick (upper/lower) ≤ 50% of candle range to avoid weak breakouts.
Higher TF RSI risk (H4)
Fetches RSI from a higher timeframe (default H4).
If RSI exceeds threshold, breakout labels turn gray (risk warning only).
Anti-repeat mechanism
Each new pivot resets trigger.
Each S/R level triggers only once until the next pivot is formed.
Signals & Alerts
Label “B” (green) below candle: breakout above Resistance, valid EMA/Volume/Wick conditions.
Label “S” (red) above candle: breakout below Support, valid EMA/Volume/Wick conditions.
Gray labels = H4 RSI risk warning.
Unified alert: “S/R Breakout (Unified)” with message B=Buy, S=Sell, Gray=Risk.
Parameters
Show Breaks: toggle breakout detection.
Left/Right Bars: pivot sensitivity.
Require Volume > Average + Volume MA Length: volume filter.
Use H4 RSI Risk Warning: enable higher TF RSI check.
RSI Length, Higher TF (minutes), RSI thresholds for Buy/Sell risk.
Usage tips
Prioritize trades in the same direction as EMA89 and EMA34 trend.
Works on M5 to H4; best combined with RSI H4 when trading M15/M30.
Place SL behind the S/R just broken, TP by fixed RR or EMA trailing.
Increase Left/Right Bars for stronger zones and less noise in sideways markets.
Notes
Pivot still has repaint element (mitigated by offset).
This indicator is not financial advice. Always combine with proper risk management.
Version
Clean v4: added wick ≤50% filter, H4 RSI risk coloring, volume filter, anti-repeat pivot trigger, unified alert, EMA34 H/L/C background shading.
Trading Dashboard Position managementWhat This Script Does: A Simple Overview
Imagine you want a small, neat box on your trading chart that automatically calculates and displays key price levels for a potential trade. This script does exactly that.
It creates a "Trade Dashboard" that uses a popular volatility indicator called the Average True Range (ATR) to suggest:
A potential Entry price.
A Stop Loss level to limit potential losses.
Three different Target levels for taking profits.
You can customize everything, from how these levels are calculated to how the dashboard looks.
Trading StreetTrading Street Indicator
Trading Street is a comprehensive trading indicator that combines session timing analysis with technical trend analysis. It provides traders with visual cues for optimal trading times and market direction, making it perfect for forex and crypto trading.
Key Features
🕐 Trading Session Detection
Asia Session: 05:30 - 14:30 IST (Indian Standard Time)
London Session: 12:30 - 20:30 IST
New York Session: 18:30 - 02:30 IST (overnight)
Visual Session Backgrounds: Each session is highlighted with distinct colors
Session Overlap Handling: Smart precedence system (NY > London > Asia)
📊 Technical Analysis
50 EMA (Exponential Moving Average): Default golden line for trend analysis
Customizable EMA: Adjustable length (1-200 periods)
Trend Background: Green when price > EMA (bullish), Red when price < EMA (bearish)
Visual Trend Signals: Background colors change based on price vs EMA relationship
🎨 Customization Options
Session Colors: Customize Asia (green), London (blue), New York (orange)
EMA Settings: Adjust color, width, and length
Transparency Control: Adjust background opacity (0-100%)
Individual Toggles: Turn sessions and EMA on/off independently
How to Use
For Session Trading:
Identify Active Sessions: Look for colored backgrounds indicating active trading sessions
Session Overlaps: London-New York overlap (18:30-20:30 IST) is typically high volatility
Session Transitions: Watch for session changes for potential breakout opportunities
For Trend Analysis:
EMA Trend: Golden EMA line shows overall market direction
Background Colors:
Green background = Bullish trend (price above EMA)
Red background = Bearish trend (price below EMA)
Trend Confirmation: Use EMA alignment with session timing for better entries
Trading Strategy:
Session + Trend Alignment: Best trades when session activity aligns with EMA trend
Session Transitions: Look for breakouts during session changes
High Volatility Periods: London-New York overlap often provides best opportunities
Settings
Session Settings:
Show Asia Session: Toggle Asia session background
Show London Session: Toggle London session background
Show New York Session: Toggle New York session background
Background Transparency: Adjust opacity (0-100%)
EMA Settings:
Show EMA: Toggle EMA line on/off
EMA Length: Adjust period (1-200, default: 50)
EMA Color: Customize line color
EMA Line Width: Adjust thickness (1-4)
Best Timeframes
Recommended: 15M, 1H, 4H, Daily
Best for: Forex pairs, Crypto, Major indices
Optimal Use: Combine with price action and support/resistance levels
Pro Tips
Session Awareness: Trade during active sessions for better liquidity
Trend Confirmation: Use EMA trend to confirm session-based setups
Risk Management: Avoid trading during low-activity periods
Multi-Timeframe: Use on higher timeframes for trend, lower for entries
Technical Details
Pine Script Version: v5
Overlay: True (displays on main chart)
Timezone: IST (Indian Standard Time)
Compatibility: All TradingView instruments
Perfect for traders who want to combine session timing with technical analysis for better trading decisions! 🚀
SmartTrade - ALMCorpHello everyone! I’d like to introduce my creation—the Smart Trade indicator. I’ve identified certain patterns and discovered that specific moving averages, at certain deviations, can have a strong impact on price. So, what does this indicator do?
It uses the daily timeframe as the basis for displaying levels. For each cryptocurrency, a unique deviation coefficient is calculated for each level. Essentially, we take two deviation zones—the buy zone and the sell zone—treating them as 0 and 1, respectively. From there, we can plot internal levels based on the Fibonacci sequence.
To summarize:
The indicator displays two main zones (buy/sell).
It also shows internal Fibonacci levels, which exert strong influence on price movements.
For convenience, each level is marked with its corresponding numerical value.
Key Levels for Altcoins: The 0.25–0.5 Range and Imbalance
For many altcoins, the most critical levels are 0.25 and 0.5. Prices tend to stay within this range most of the time—breaking beyond these levels signals a market imbalance, which is usually short-lived.
Example Scenario:
Normal Movement: Price moves between 0.25 (support) and 0.5 (resistance).
Downside Break (Imbalance): If price falls below 0.25 into the buy zone (green area), the failure to hold 0.25 creates a strong imbalance. This typically forces price back up into its usual range.
Upside Break (Imbalance): Similarly, if price breaks above 0.5 (e.g., reaching 0.75), this also creates imbalance, and price tends to revert back down into its standard range.
Conclusion:
Most altcoins trade primarily between 0.25 and 0.5.
A breakout in either direction usually results in a temporary imbalance, which the market quickly corrects.
By recognizing these patterns, we can make more informed trading decisions.
Visualizing Imbalances – From Small to Large
In the chart above, I’ve highlighted all imbalances, ranging from minor to major.
Why This Indicator is Perfect for Spot Trading
I’ve developed a trading strategy for this indicator that displays:
Buy signals (with entry zones)
Average entry price
Sell signals
How the Buy Signals Work:
BUY 1 – Triggered when price touches the upper boundary of the buy zone.
BUY 2 – Activated when price reaches the middle of the buy zone.
BUY 3 – Executed when price tests the lower boundary of the buy zone.
This structured approach ensures you capitalize on optimal entry points while managing risk.
Understanding the Average Entry Line & Profit-Taking System
You may have noticed an additional line on the chart above, displayed alongside the buy signals. This is the average entry line, which represents your mean entry price—calculated based on executing equal-sized purchases at each buy signal (BUY 1, BUY 2, BUY 3).
Where to Sell? Smart Profit-Taking Rules
While precise entries are critical, knowing when to exit is equally important. Here’s how the system works:
Primary Take-Profit Level (0.375)
Historically, this level offers the optimal balance for quick profit-taking.
Adaptive Exit Strategy
If the position is unprofitable by the time of closure, the system automatically shifts the exit to the next higher level (0.5).
This ensures you lock in greater gains when the market favors your trade.
Advanced Performance Tracking & Asset Selection
The indicator provides comprehensive trade analytics, displayed in the bottom-right information panel:
Trade count tracking (total number of executed trades)
Cumulative profitability (combined returns across all trades)
Average profitability per trade (total returns ÷ trade count)
How to Leverage This Data
These metrics allow you to:
Identify high-potential assets
Example: Asset A shows 5% average profit/trade vs. Asset B with 40% → prioritize Asset B for spot trading.
Filter for optimal volatility
Higher average profitability often correlates with stronger momentum/volatility.
Multi-Market Utility
While designed for spot trading, the indicator’s imbalance detection (described earlier) also works for:
Futures market analysis
Entry point identification
JJ Tuesday Expiry Highlighter – SensexHighlights every Tuesday across your chart for quick identification of Indian market weekly expiry days (Sensex expiry = Tuesday).
Features:
• Works on all timeframes
• Customizable highlight color
• Optional "Expiry" label on daily charts
• Useful for options traders tracking weekly expiry trends
Disclaimer:
This script is for informational and educational purposes only.
It does not constitute financial advice or a recommendation to trade.
Please do your own research and consult a licensed financial advisor.
Pro Tip:
Duplicate this script and change `dayofweek.tuesday` to `dayofweek.thursday` to mark Nifty expiry days as well.
Recent Range DetectorOverview
The Recent Range Detector is a specialized indicator designed to identify when an asset is currently range-bound, providing traders with clear support and resistance levels for range trading strategies. Unlike traditional indicators that focus on trend detection, this tool specifically answers the question: "Is the price range-bound right now, and what are the exact trading levels?"
Key Features
✅ Smart Range Detection - Uses a multi-factor scoring system to identify legitimate ranges
✅ Dynamic Support/Resistance Levels - Automatically calculates and displays key trading levels
✅ Range Quality Scoring - Provides confidence levels (Strong/Moderate/Weak Range)
✅ Touch Validation - Counts actual price touches to confirm range reliability
✅ Breakout Detection - Alerts when price exits the established range
✅ Visual Clarity - Clean boxes, lines, and labels for easy interpretation
How It Works
The indicator analyses recent price action using three core metrics:
Touch Quality (40%) - How many times price has respected support/resistance levels
Containment Quality (40%) - What percentage of recent bars stayed within the range
Recent Respect (20%) - Whether the latest price action confirms the range
These combine into a Range Score (0-1) that determines range strength and reliability.
Settings & Parameters
Range Lookback Period (Default: 15)
Number of bars to analyse for range detection
Shorter periods = more responsive to recent ranges
Longer periods = more stable, fewer false signals
Range Tolerance (Default: 2.0%)
Tolerance for price touches around exact highs/lows
Lower values = stricter range requirements
Higher values = more flexible range detection
Minimum Touches (Default: 3)
Required number of support/resistance touches for valid range
Higher values = more confirmed ranges, fewer signals
Lower values = more sensitive, earlier detection
Visual Options
Show Range Box: Displays the range boundaries
Show Support/Resistance Lines: Extends levels into the future
Understanding the Output
Range Score (0.000 - 1.000)
0.7+ = Strong Range (Green) - High confidence range trading setup
0.5-0.7 = Moderate Range (Yellow) - Decent range with some caution
0.3-0.5 = Weak Range (Orange) - Low confidence, be careful
<0.3 = Not Ranging - Avoid range trading strategies
Range Status Classifications
Strong Range - Perfect for range trading strategies
Moderate Range - Good range with normal risk
Weak Range - Marginal range, use smaller positions
Not Ranging - Price is trending or too choppy for range trading
Key Metrics in Info Table
Range Size (%) - Size of the range relative to price level
5-15% = Ideal range size for most strategies
<5% = Tight range, lower profit potential
>15% = Wide range, higher profit potential but more risk
Support/Resistance Levels - Exact price levels for entries/exits
Use these as your key trading levels
Support = potential buy zone
Resistance = potential sell zone
Total Touches - Number of times price respected the levels
3-5 touches = Newly formed range
6-10 touches = Well-established range
10+ touches = Very strong, reliable range
Price Position (%) - Current location within the range
0-20% = Near support (potential long opportunity)
80-100% = Near resistance (potential short opportunity)
40-60% = Middle of range (wait for better entry)
Visual Elements
Range Box
Green Box = Strong Range (Score ≥ 0.7)
Yellow Box = Moderate Range (Score 0.5-0.7)
Orange Box = Weak Range (Score 0.3-0.5)
Support/Resistance Lines
- Horizontal lines showing exact trading levels
- Extend into the future for forward guidance
- Colour matches the range strength
Background Colouring
- Subtle background tint during range periods
- Helps quickly identify ranging vs trending markets
Breakout Signals
- 📈 RANGE BREAK UP - Price breaks above resistance
- 📉 RANGE BREAK DOWN - Price breaks below support
- Only appears for confirmed ranges (Score ≥ 0.5)
Trading Applications
Range Trading Strategy
1. Look for Range Score ≥ 0.5
2. Buy near support (Price Position 0-20%)
3. Sell near resistance (Price Position 80-100%)
4. Set stops just outside the range
5. Exit on breakout signals
Breakout Strategy
1. Identify strong ranges (Score ≥ 0.7)
2. Wait for volume-confirmed breakout
3. Enter in breakout direction
4. Use previous resistance as support (or vice versa)
Market Context
- Strong ranges often occur after trending moves
- Use higher timeframes to confirm overall market structure
- Combine with volume analysis for better entries/exits
Best Practices
What to Look For
✅ Range Score ≥ 0.5 for trading consideration
✅ Multiple touches (5+) for confirmation
✅ Clear price rejection at levels
✅ Reasonable range size (5-15% for most assets)
✅ Recent price respect of boundaries
What to Avoid
❌ Trading ranges with Score < 0.3
❌ Very tight ranges (<3% size) - low profit potential
❌ Ranges with only 1-2 touches - not confirmed
❌ Ignoring breakout signals
❌ Trading against the higher timeframe trend
Alerts Available
- Range Detected - New range formation
- Range Break Up - Upward breakout
- Range Break Down - Downward breakout
- Range Ended - Range condition ended
Timeframe Recommendations
- Daily Charts - Best for swing trading ranges
- 4H Charts - Good for intermediate-term ranges
- 1H Charts - Suitable for day trading ranges
- Lower Timeframes - May produce more noise
Conclusion
The Recent Range Detector eliminates guesswork in range identification by providing objective, quantified range analysis. It's particularly valuable for traders who prefer range-bound strategies or need to identify when trending strategies should be avoided.
Remember: No indicator is perfect. Always combine with proper risk management, volume analysis, and broader market context for best results.
Disclaimer
This indicator is for educational purposes only and should not be considered as financial advice. Trading involves risk, and past performance does not guarantee future results. Always conduct your own research and consider your risk tolerance before making any trading decisions.
🏆 Advanced Liquidity 💧Pro-X Trading Suite-J-Algo# 🏆 Advanced Liquidity 💧Pro-X Trading Suite-J-Algo
## 📊 **INSTITUTIONAL-GRADE MULTI-TIMEFRAME TRADING SUITE**
Transform your trading with this comprehensive institutional-style indicator that combines **Smart Money Concepts**, **Market Structure Analysis**, and **Multi-Timeframe Liquidity Detection** in one powerful tool.
---
## 🎯 **KEY FEATURES**
### 💧 **Multi-Timeframe Key Liquidity Levels**
- **HTF (Higher Timeframe)**: Major institutional levels (4H, Daily, Weekly)
- **LTF (Lower Timeframe)**: Precision entry levels (1H, 4H)
- **CTF (Current Timeframe)**: Chart-specific liquidity zones
- **Smart Mitigation Detection**: Automatically removes hit levels or shows mitigated zones
- **Customizable Extensions**: Short, Current, or Maximum extension options
### ⚡ **Dynamic Trendlines with Breakout Detection**
- **Automatic Trend Recognition**: Self-adjusting bullish and bearish trendlines
- **Channel Formation**: Upper and lower channel boundaries
- **Breakout Alerts**: Real-time notification when trendlines break
- **Gradient Fill Options**: Beautiful visual presentation with transparency
- **Historical Tracking**: Option to keep broken trendlines visible
### 📦 **Institutional Order Blocks**
- **Volume-Weighted Strength**: Calculates bullish/bearish institutional pressure
- **Smart Overlap Detection**: Prevents cluttered display
- **Violation Monitoring**: Tracks when order blocks are breached
- **Visual Separation**: Clear distinction between buy and sell zones
- **Customizable Display**: Show last X order blocks for clean charts
### 🎯 **Premium/Discount Zones (PD Zones)**
- **Swing-Based Calculation**: Identifies key value areas
- **Three-Zone System**: Premium, Equilibrium, and Discount levels
- **Dynamic Updates**: Zones adjust with market structure changes
- **Color-Coded**: Easy identification of value zones
### 🔄 **Trading Sessions Analysis**
- **Major Sessions**: Asian, London, New York with custom times
- **Session Overlaps**: Highlights high-volatility periods
- **High/Low Tracking**: Session range identification
- **Timezone Support**: Full IANA timezone compatibility
- **Historical Sessions**: Multi-day session display
### 📊 **Market Structure Breaks (MSB)**
- **Real-Time Detection**: Identifies structure shifts instantly
- **Trend Confirmation**: Validates market direction changes
- **Visual Clarity**: Clean MSB line and label display
---
## ⚙️ **CONFIGURATION OPTIONS**
### 🎛️ **Master Controls**
- Toggle any feature ON/OFF for customized analysis
- Performance optimization with selective loading
- Clean interface with organized input groups
### 🎨 **Visual Customization**
- **Color Schemes**: Fully customizable colors for all elements
- **Line Weights**: Adjustable thickness for all lines
- **Text Sizes**: Multiple size options for labels
- **Transparency**: Gradient and opacity controls
### 🚨 **Alert System**
- **HTF Liquidity Hits**: Get notified when major levels are touched
- **Customizable Alerts**: Choose which events to monitor
- **Real-Time Notifications**: Instant alerts for trading opportunities
---
## 📈 **TRADING APPLICATIONS**
### 🎯 **Entry Strategies**
- **Liquidity Raids**: Trade reversals at key liquidity levels
- **Order Block Reactions**: Enter on institutional zone interactions
- **Trendline Breaks**: Capitalize on momentum shifts
- **Session Overlap Scalping**: High-probability setups during active periods
### 🛡️ **Risk Management**
- **Structure-Based Stops**: Use order blocks and liquidity levels
- **Multi-Timeframe Confirmation**: Align entries across timeframes
- **Premium/Discount Bias**: Trade with institutional flow direction
### 📊 **Analysis Framework**
- **Top-Down Analysis**: HTF bias, LTF precision entries
- **Market Structure**: Understand institutional sentiment
- **Session Awareness**: Trade during optimal market hours
---
## 🔧 **TECHNICAL SPECIFICATIONS**
### ⚡ **Performance Optimized**
- **Pine Script v6**: Latest version with enhanced performance
- **Smart Memory Management**: Efficient array and object handling
- **Selective Calculations**: Only processes enabled features
- **Display Limits**: Prevents chart overload
### 📱 **Compatibility**
- **All Timeframes**: Optimized for 5m and higher
- **All Markets**: Forex, Crypto, Stocks, Indices
- **All Devices**: Desktop, mobile, tablet responsive
### 🎯 **Best Performance**
- **Recommended**: 15m+ timeframes for optimal speed
- **Mobile Friendly**: Lightweight when features are selectively enabled
- **Multi-Chart**: Can run multiple instances efficiently
---
## 📚 **HOW TO USE**
### 🚀 **Quick Start**
1. **Add to Chart**: Apply indicator to your favorite pair
2. **Choose Timeframes**: Enable HTF (4H/Daily) and LTF (1H) liquidity
3. **Select Features**: Toggle on desired analysis tools
4. **Customize Colors**: Match your chart theme
5. **Set Alerts**: Enable notifications for key events
### 📊 **Professional Setup**
- **Multi-Timeframe Analysis**: Daily bias, 4H structure, 1H entries
- **Session Focus**: Trade during London/NY overlap for best results
- **Confluence Trading**: Combine liquidity + order blocks + trendlines
- **Risk Management**: Use structure levels for stops and targets
### 🎯 **Advanced Strategies**
- **Liquidity Sweeps**: Look for false breaks followed by reversals
- **Order Block Mitigation**: Enter on first touch of fresh blocks
- **Premium/Discount Entries**: Buy discount, sell premium
- **Session Breakouts**: Trade range breaks during session opens
---
## ⭐ **WHAT MAKES THIS SPECIAL**
### 🏆 **Professional Grade**
- **Institutional Concepts**: Based on how big money actually trades
- **Multi-Timeframe Integration**: Seamless analysis across timeframes
- **Smart Automation**: Reduces manual chart analysis time
- **Visual Excellence**: Clean, professional appearance
### 💎 **Unique Features**
- **Combined Analysis**: Multiple methodologies in one indicator
- **Smart Detection**: Automatic identification of key levels
- **Customizable Depth**: From beginner-friendly to expert analysis
- **Performance Focused**: Optimized for real-time trading
### 🎯 **Trader Benefits**
- **Faster Analysis**: Instantly see key levels and zones
- **Better Entries**: High-probability setups with confluence
- **Clearer Direction**: Understand market structure quickly
- **Professional Edge**: Trade like institutional traders
---
## 🛠️ **SETTINGS GUIDE**
### 💧 **Liquidity Settings**
- **Left/Right Bars**: Adjust sensitivity of level detection
- **Timeframes**: Choose HTF (4H, Daily) and LTF (1H, 4H) periods
- **Display Limit**: Control number of active levels
- **Extension**: How far to project levels
### ⚡ **Trendline Settings**
- **Period**: Lookback for pivot detection
- **Channel Padding**: Distance between trendline channels
- **Gradient**: Enable/disable fill effects
- **History**: Keep broken trendlines visible
### 📦 **Order Block Settings**
- **Swing Length**: Sensitivity of structure detection
- **Display Count**: Number of active blocks
- **Violation Type**: Wick or close-based breaks
- **Overlap**: Hide/show overlapping blocks
---
## 🎯 **PERFECT FOR**
### 📈 **Trading Styles**
- **Scalpers**: Session overlap and liquidity level trades
- **Day Traders**: Intraday structure and order block analysis
- **Swing Traders**: Multi-timeframe confluence setups
- **Position Traders**: Major timeframe liquidity and structure
### 💱 **Markets**
- **Forex**: All major and minor pairs
- **Crypto**: Bitcoin, altcoins, DeFi tokens
- **Stocks**: Individual stocks and ETFs
- **Indices**: S&P 500, NASDAQ, Dow Jones
- **Commodities**: Gold, Silver, Oil
### 🎯 **Experience Levels**
- **Beginners**: Start with basic liquidity levels
- **Intermediate**: Add order blocks and sessions
- **Advanced**: Full suite with custom alerts
- **Professionals**: Multi-timeframe institutional analysis
---
## 🚀 **GET STARTED TODAY**
Ready to trade like the institutions? This indicator provides everything you need for professional market analysis in one comprehensive package.
**Add to your charts now and experience the difference institutional-grade analysis makes!**
---
## 📞 **SUPPORT & UPDATES**
- **Regular Updates**: Continuous improvement and new features
- **Community Support**: Active user community
- **Documentation**: Comprehensive setup guides
- **Compatibility**: Always updated for latest TradingView features
---
*Transform your trading with institutional-grade analysis. Join thousands of traders using professional Smart Money Concepts for consistent market success.*
**🏆 ADVANCED LIQUIDITY 💧PRO-X TRADING SUITE-J-ALGO** - Your Gateway to Institutional Trading
Fundur - Trend LinesFundur - Trend Lines: Complete Trading Indicator Guide
Indicator Overview
The Fundur - Trend Lines is an advanced multi-layered trend analysis system that combines adaptive trend line technology, momentum analysis, and intelligent signal generation into one comprehensive trading tool. This indicator goes beyond traditional moving averages by utilizing volatility-adjusted trend lines that dynamically adapt to market conditions, providing traders with precise trend strength measurements and actionable trading signals.
What Makes Trend Lines Unique?
The Trend Lines indicator introduces Adaptive Trend Line Technology - a sophisticated methodology that uses Average True Range (ATR) calculations to create trend lines that respond intelligently to market volatility. Unlike static indicators, Trend Lines provides dynamic analysis that adapts its sensitivity based on current market conditions, offering more accurate trend identification and strength assessment.
Core Methodology
The indicator operates on the principle that trend strength can be quantified by analyzing the relationship between multiple adaptive trend lines, momentum indicators, and market structure. By combining Alignment Analysis , Distance Measurements , Momentum Confirmation , and Volatility Expansion Potential , the system generates a comprehensive trend strength score from 0-100% with corresponding trading signals.
Key Features
🎯 Adaptive Trend Line System Slow Trend Line : Primary trend direction with lower sensitivity for major trend identification Fast Trend Line : Higher sensitivity trend line for early trend change detection Volatility Adaptation : Both lines automatically adjust to market volatility using ATR calculations Cloud Visualization : Colored areas between trend lines show trend strength and direction
📊 Comprehensive Trend Strength Analysis Quantified Strength (0-100%) : Precise trend strength measurement combining multiple factors Alignment Score : Measures agreement between multiple trend line systems Distance Analysis : Evaluates price proximity to trend lines using ATR normalization Momentum Integration : Incorporates Awesome Oscillator for momentum confirmation Squeeze Factor : Identifies volatility expansion potential for breakout opportunities
🧠 Intelligent Signal Generation Position Signals : Clear ADD LONG, ADD SHORT, REDUCE, HOLD recommendations Risk Zone Classification : STRONG, MEDIUM, WEAK trend categorization Trend Direction : Bullish, Bearish, or Neutral trend identification Dynamic Updates : Real-time signal adjustments based on changing conditions
⚡ Enhanced Momentum Analysis Smoothed Momentum : Configurable momentum smoothing to reduce noise Acceleration Detection : Identifies momentum acceleration and deceleration Divergence Alerts : Detects price-momentum divergences for reversal warnings Directional Bias : Momentum confirmation for trend direction validation
🔍 Advanced Market Structure Detection Momentum Squeeze : Identifies low-volatility periods preceding major moves Volatility Expansion : Detects when markets break out of consolidation phases Trend Weakness Detection : Early warning system for deteriorating trends Structure Transition : Identifies when trends change character or direction
🎨 Professional Visual Interface Comprehensive Analysis Table : All key metrics displayed in organized format Visual Strength Bar : Graphical representation of trend strength Color-Coded Components : Intuitive color scheme for quick analysis Customizable Display : Flexible positioning and sizing options
Setup Guide
Step 1: Adding the Indicator
Open TradingView and navigate to your desired chart Click the "Indicators" button or press "/" key Search for "Fundur - Trend Lines" Add the indicator to your chart
Step 2: Basic Configuration
Main Features Settings ✅ Show Trend Analysis Table : ON (Essential for comprehensive analysis) ✅ Enable Trend Strength Analysis : ON (Core functionality) ✅ Generate Trading Signals : ON (For position management guidance)
Trend Lines Display ✅ Show Slow Trend Line : ON (Primary trend identification) ✅ Show Fast Trend Line : ON (Early signal detection) Trend Cloud Transparency : 89% (Default recommended, adjust for visibility)
Table Positioning Table Position : Top Right (recommended for most setups) Table Size : Normal (adjust based on screen size)
Step 3: Advanced Analysis Configuration
Enhanced Features (Optional) ✅ Enhanced Momentum Analysis : ON (for more accurate signals) ✅ Divergence Detection : ON (for reversal warnings) ⚠️ Momentum Squeeze Analysis : OFF initially (can add visual complexity)
Sensitivity Settings Divergence Sensitivity : 5 (Default - lower = more sensitive) Momentum Smoothing : 3 (Default - higher = smoother signals)
Step 4: Alert Configuration
Essential Alerts (Recommended) Trading Signal Alerts : Enable for position changes Trend Strength Change Alerts : Enable for trend monitoring Strength Change Threshold : 15% (Default recommended)
Advanced Alerts (Optional) Divergence Alerts : Enable for reversal warnings Early Weakness Alerts : Enable for risk management Momentum Squeeze Alerts : Enable for breakout opportunities Trend Line Cross Alerts : Enable for level-based signals
Basic Trading Guide
Understanding Trend Strength
The indicator's foundation is the Trend Strength Score - a quantified measurement (0-100%) that combines four key factors:
Strong Trends (75%+ Strength) 🟢 Characteristics : High alignment, close price-to-trend proximity, strong momentum Signals : ADD LONG (bullish) or ADD SHORT (bearish) Strategy : Aggressive position building, trend continuation trades Risk : Lower risk due to strong trend confirmation
Medium Trends (35-75% Strength) 🟡 Characteristics : Mixed signals, moderate alignment, transitional phases Signals : HOLD current positions Strategy : Conservative approach, wait for clearer signals Risk : Medium risk, requires careful monitoring
Weak Trends (Below 35% Strength) 🔴 Characteristics : Poor alignment, distant from trend lines, weak momentum Signals : REDUCE positions or CLOSE Strategy : Risk reduction, position unwinding Risk : High risk, trend likely changing or failing
Entry Strategies
Primary Strategy: Trend Continuation Entries Setup : Strong trend strength (75%+) with clear directional bias Entry Trigger : ADD LONG or ADD SHORT signal confirmation Direction : Follow the trend direction (Bullish ⬆ or Bearish ⬇) Timing : Enter on signal generation or price pullback to trend lines
Stop Loss Placement Conservative Method : Beyond the opposite trend line Aggressive Method : Below/above recent swing points For Long Positions : Below the Slow Trend Line For Short Positions : Above the Slow Trend Line Dynamic Adjustment : Move stops with trend line progression
Profit Taking Strategy
For Long Positions (Bullish Trend): Take 50% profits when trend strength begins declining from peak Take another 25% when trend strength drops below 60% Close remaining position when REDUCE signal appears Trail stops using Fast Trend Line for remaining position
For Short Positions (Bearish Trend): Take 50% profits when trend strength begins declining from peak Take another 25% when trend strength drops below 60% Close remaining position when REDUCE signal appears Trail stops using Fast Trend Line for remaining position
Alternative Strategy: Divergence-Based Reversal Entries Setup : Bullish or bearish divergence detected with weakening trend strength Entry : On trend direction change confirmation Risk Management : Tight stops due to counter-trend nature Targets : Opposite trend line or previous swing levels
Risk Management Framework
Position Sizing Based on Trend Strength Strong Trends (75%+) : Full position size (within risk tolerance) Medium Trends (35-75%) : Reduced position size (50-75% of normal) Weak Trends (Below 35%) : Minimal or no new positions Transitional Periods : Smallest position sizes due to uncertainty
Dynamic Risk Adjustment Increasing Strength : Can add to positions gradually Decreasing Strength : Begin profit-taking and position reduction Rapid Strength Loss : Quick position reduction or exit Divergence Warning : Tighten stops and prepare for reversal
Analysis Setups
Setup 1: Scalping Configuration (1-5 minute charts)
Settings Optimization: Momentum Smoothing: 2 (more responsive) Divergence Sensitivity: 3 (higher sensitivity) Enhanced Momentum Analysis: ON All alerts: ON for rapid signal updates
Visual Settings: Table Size: Small (less screen space) Table Position: Top Right Trend Cloud Transparency: 85% (subtle background)
Trading Approach: Focus on quick ADD signals in strong trends Use Fast Trend Line for entry timing Quick profit-taking at first sign of strength decline Very tight risk management due to lower timeframe noise
Setup 2: Day Trading Configuration (5-15 minute charts)
Settings Optimization: All default settings work well Enable Momentum Squeeze Analysis for breakout identification Divergence Detection: ON for reversal warnings Trend Strength Change Threshold: 12% (more sensitive)
Visual Settings: Table Size: Normal Show all trend analysis components Trend Cloud Transparency: 89% (default)
Trading Approach: Wait for clear trend strength above 65% before entering Use momentum squeeze breakouts for early entries Hold positions through medium strength phases Exit on REDUCE signals or strength below 40%
Setup 3: Swing Trading Configuration (1-4 hour charts)
Settings Optimization: Momentum Smoothing: 4 (smoother for higher timeframe) Divergence Sensitivity: 7 (less sensitive, higher quality signals) Enhanced Momentum Analysis: ON Early Weakness Alerts: ON (important for swing trades)
Visual Settings: Table Size: Normal or Large Focus on trend strength and direction components Enable all visual features for comprehensive analysis
Trading Approach: Require trend strength above 70% for new positions Hold through temporary strength dips if above 50% Use divergence signals for early exit warnings Focus on major trend changes for position adjustments
Setup 4: Position Trading Configuration (4H-Daily charts)
Settings Optimization: Momentum Smoothing: 5 (maximum smoothing) Divergence Sensitivity: 10 (only high-quality divergences) Strength Change Threshold: 20% (major changes only) Focus on trend direction and strength alerts
Visual Settings: Table Size: Large (detailed analysis) Clean visual setup focusing on major components Minimal clutter for long-term perspective
Trading Approach: Only enter on very strong trends (80%+ strength) Hold through significant strength fluctuations Focus on major trend direction changes Use weekly/monthly trend alignment for confirmation
Setup 5: Multi-Asset Analysis Configuration
For Forex Pairs: Standard settings work well due to 24-hour markets Pay attention to session-based strength changes Use momentum squeeze for breakout trading Enable all alert types for continuous monitoring
For Cryptocurrency: Reduce momentum smoothing (2-3) due to high volatility Increase divergence sensitivity (3-4) for early warnings Focus on strength changes above 20% threshold Use squeeze analysis for breakout opportunities
For Stock Indices: Standard settings appropriate for most indices Enable early weakness alerts for risk management Consider market hours for signal validity Use higher timeframes for better signal quality
Visual Components
Trend Analysis Table Trend Strength : Percentage with visual strength bar Trend Signal : Current position recommendation Risk Zone : STRONG/MEDIUM/WEAK classification Alignment : Trend line agreement analysis Distance : Price proximity to trend lines Momentum : Current momentum direction and strength
Trend Lines and Clouds Colored Clouds : Green for bullish trends, red for bearish trends Cloud Intensity : Opacity reflects trend strength Dynamic Colors : Automatically adjust based on trend direction
Momentum Squeeze Visualization Yellow Highlights : Above and below price during squeeze periods Squeeze Indication : Identifies low-volatility consolidation Breakout Preparation : Visual cue for potential explosive moves
Alert System
Trading Signal Alerts ADD LONG : Strong bullish trend confirmed ADD SHORT : Strong bearish trend confirmed REDUCE : Trend weakness detected, position reduction recommended HOLD : Maintain current positions, no change needed
Trend Analysis Alerts Strength Increase : Trend gaining momentum Strength Decrease : Trend losing momentum Early Weakness : Warning of potential trend deterioration Trend Direction Change : Major trend shift detected
Technical Alerts Bullish Divergence : Price falling but momentum rising Bearish Divergence : Price rising but momentum falling Momentum Squeeze Start : Volatility contraction beginning Momentum Squeeze End : Breakout from low volatility period Trend Line Cross : Price crossing above/below trend lines
Setting Up Alerts Enable desired alert types in indicator settings Create TradingView alerts using "Fundur - Trend Lines" as source Configure notification methods (email, SMS, app notifications) Test alerts with paper trading before live implementation Adjust alert frequency settings to avoid spam
Best Practices
Trend Strength Interpretation Above 75% : High confidence trades, full position sizes 50-75% : Moderate confidence, reduced positions Below 50% : Low confidence, minimal or no positions Rapid Changes : Pay attention to sudden strength shifts
Signal Management Don't Chase : Wait for clear signals rather than predicting Confirm with Price Action : Use chart patterns for additional confirmation Respect Risk Zones : Adjust position sizes based on trend classification Monitor Alignment : Strong alignment increases signal reliability
Multi-Timeframe Integration Higher Timeframe Bias : Use daily/weekly for overall trend direction Lower Timeframe Entries : Use hourly/15min for precise entry timing Confirmation Requirement : Ensure alignment between timeframes Conflict Resolution : Higher timeframe takes precedence
Common Mistakes to Avoid
Signal Misinterpretation Ignoring Trend Strength : Don't trade weak signals (below 60%) Fighting the Trend : Don't go against strong trend directions Overreliance on Single Component : Consider all analysis factors Impatience : Wait for clear STRONG trend classification
Risk Management Errors Fixed Position Sizes : Adjust sizes based on trend strength Ignoring REDUCE Signals : Take profits when indicator suggests No Stop Losses : Always use stops beyond trend lines Overleveraging Weak Signals : Use smaller positions in MEDIUM zones
Technical Analysis Errors Ignoring Divergences : Pay attention to momentum warnings Missing Squeeze Opportunities : Watch for breakout setups Poor Timeframe Selection : Match timeframe to trading style Alert Fatigue : Don't enable too many alerts simultaneously
Advanced Techniques
Divergence Trading Early Reversal Detection : Use divergences to anticipate trend changes Confirmation Required : Wait for trend strength decline confirmation Tight Risk Management : Use smaller positions for counter-trend trades Quick Exits : Take profits rapidly on divergence trades
Momentum Squeeze Strategies Breakout Preparation : Position before squeeze resolution Direction Bias : Use trend direction for breakout direction Volume Confirmation : Combine with volume analysis when possible False Breakout Protection : Use tight stops for failed breakouts
Multi-Component Analysis Alignment Priority : Perfect alignment (100%) provides highest confidence Distance Consideration : Closer to trend lines = higher probability Momentum Confirmation : Rising momentum supports trend direction Squeeze Integration : High squeeze factor increases breakout potential
Dynamic Position Management Scaling In : Add to positions as trend strength increases Scaling Out : Reduce positions as trend strength decreases Stop Trailing : Move stops with Fast Trend Line progression Profit Optimization : Use strength peaks for profit-taking timing
Conclusion
The Fundur - Trend Lines indicator represents a sophisticated approach to trend analysis, combining adaptive trend line technology with comprehensive strength measurement and intelligent signal generation. By quantifying trend strength through multiple analytical components, this indicator provides traders with objective, data-driven insights for making informed trading decisions.
The indicator's strength lies in its ability to adapt to changing market conditions while providing clear, actionable signals. The comprehensive trend strength analysis removes guesswork from trend trading, allowing traders to size positions appropriately and manage risk effectively based on quantified market conditions.
Success with the Trend Lines indicator comes from understanding that trend strength is dynamic and requires continuous monitoring. The 0-100% strength scale provides an objective framework for position management, while the multi-component analysis ensures robust signal generation across different market conditions.
Remember that this indicator works best when combined with proper risk management, position sizing, and market context awareness. Start with conservative settings and smaller position sizes while learning the indicator's behavior in different market environments. The comprehensive alert system helps maintain awareness of changing conditions, but successful trading still requires discipline and adherence to your trading plan.
For optimal results, practice with the indicator across different timeframes and market conditions, always prioritizing risk management over profit potential, and maintaining realistic expectations about market behavior and indicator performance.
Crypto Options Greeks & Volatility Analyzer [BackQuant]Crypto Options Greeks & Volatility Analyzer
Overview
The Crypto Options Greeks & Volatility Analyzer is a comprehensive analytical tool that calculates Black-Scholes option Greeks up to the third order for Bitcoin and Ethereum options. It integrates implied volatility data from VOLMEX indices and provides multiple visualization layers for options risk analysis.
Quick Introduction to Options Trading
Options are financial derivatives that give the holder the right, but not the obligation, to buy or sell an underlying asset at a predetermined price (strike price) within a specific time period (expiration date). Understanding options requires grasping two fundamental concepts:
Call Options : Give the right to buy the underlying asset at the strike price. Calls increase in value when the underlying price rises above the strike price.
Put Options : Give the right to sell the underlying asset at the strike price. Puts increase in value when the underlying price falls below the strike price.
The Language of Options: Greeks
Options traders use "Greeks" - mathematical measures that describe how an option's price changes in response to various factors:
Delta : How much the option price moves for each $1 change in the underlying
Gamma : How fast delta changes as the underlying moves
Theta : Daily time decay - how much value erodes each day
Vega : Sensitivity to implied volatility changes
Rho : Sensitivity to interest rate changes
These Greeks are essential for understanding risk. Just as a pilot needs instruments to fly safely, options traders need Greeks to navigate market conditions and manage positions effectively.
Why Volatility Matters
Implied volatility (IV) represents the market's expectation of future price movement. High IV means:
Options are more expensive (higher premiums)
Market expects larger price swings
Better for option sellers
Low IV means:
Options are cheaper
Market expects smaller moves
Better for option buyers
This indicator helps you visualize and quantify these critical concepts in real-time.
Back to the Indicator
Key Features & Components
1. Complete Greeks Calculations
The indicator computes all standard Greeks using the Black-Scholes-Merton model adapted for cryptocurrency markets:
First Order Greeks:
Delta (Δ) : Measures the rate of change of option price with respect to underlying price movement. Ranges from 0 to 1 for calls and -1 to 0 for puts.
Vega (ν) : Sensitivity to implied volatility changes, expressed as price change per 1% change in IV.
Theta (Θ) : Time decay measured in dollars per day, showing how much value erodes with each passing day.
Rho (ρ) : Interest rate sensitivity, measuring price change per 1% change in risk-free rate.
Second Order Greeks:
Gamma (Γ) : Rate of change of delta with respect to underlying price, indicating how quickly delta will change.
Vanna : Cross-derivative measuring delta's sensitivity to volatility changes and vega's sensitivity to price changes.
Charm : Delta decay over time, showing how delta changes as expiration approaches.
Vomma (Volga) : Vega's sensitivity to volatility changes, important for volatility trading strategies.
Third Order Greeks:
Speed : Rate of change of gamma with respect to underlying price (∂Γ/∂S).
Zomma : Gamma's sensitivity to volatility changes (∂Γ/∂σ).
Color : Gamma decay over time (∂Γ/∂T).
Ultima : Third-order volatility sensitivity (∂²ν/∂σ²).
2. Implied Volatility Analysis
The indicator includes a sophisticated IV ranking system that analyzes current implied volatility relative to its recent history:
IV Rank : Percentile ranking of current IV within its 30-day range (0-100%)
IV Percentile : Percentage of days in the lookback period where IV was lower than current
IV Regime Classification : Very Low, Low, High, or Very High
Color-Coded Headers : Visual indication of volatility regime in the Greeks table
Trading regime suggestions based on IV rank:
IV Rank > 75%: "Favor selling options" (high premium environment)
IV Rank 50-75%: "Neutral / Sell spreads"
IV Rank 25-50%: "Neutral / Buy spreads"
IV Rank < 25%: "Favor buying options" (low premium environment)
3. Gamma Zones Visualization
Gamma zones display horizontal price levels where gamma exposure is highest:
Purple horizontal lines indicate gamma concentration areas
Opacity scaling : Darker shading represents higher gamma values
Percentage labels : Shows gamma intensity relative to ATM gamma
Customizable zones : 3-10 price levels can be analyzed
These zones are critical for understanding:
Pin risk around expiration
Potential for explosive price movements
Optimal strike selection for gamma trading
Market maker hedging flows
4. Probability Cones (Expected Move)
The probability cones project expected price ranges based on current implied volatility:
1 Standard Deviation (68% probability) : Shown with dashed green/red lines
2 Standard Deviations (95% probability) : Shown with dotted green/red lines
Time-scaled projection : Cones widen as expiration approaches
Lognormal distribution : Accounts for positive skew in asset prices
Applications:
Strike selection for credit spreads
Identifying high-probability profit zones
Setting realistic price targets
Risk management for undefined risk strategies
5. Breakeven Analysis
The indicator plots key price levels for options positions:
White line : Strike price
Green line : Call breakeven (Strike + Premium)
Red line : Put breakeven (Strike - Premium)
These levels update dynamically as option premiums change with market conditions.
6. Payoff Structure Visualization
Optional P&L labels display profit/loss at expiration for various price levels:
Shows P&L at -2 sigma, -1 sigma, ATM, +1 sigma, and +2 sigma price levels
Separate calculations for calls and puts
Helps visualize option payoff diagrams directly on the chart
Updates based on current option premiums
Configuration Options
Calculation Parameters
Asset Selection : BTC or ETH (limited by VOLMEX IV data availability)
Expiry Options : 1D, 7D, 14D, 30D, 60D, 90D, 180D
Strike Mode : ATM (uses current spot) or Custom (manual strike input)
Risk-Free Rate : Adjustable annual rate for discounting calculations
Display Settings
Greeks Display : Toggle first, second, and third-order Greeks independently
Visual Elements : Enable/disable probability cones, gamma zones, P&L labels
Table Customization : Position (6 options) and text size (4 sizes)
Price Levels : Show/hide strike and breakeven lines
Technical Implementation
Data Sources
Spot Prices : INDEX:BTCUSD and INDEX:ETHUSD for underlying prices
Implied Volatility : VOLMEX:BVIV (Bitcoin) and VOLMEX:EVIV (Ethereum) indices
Real-Time Updates : All calculations update with each price tick
Mathematical Framework
The indicator implements the full Black-Scholes-Merton model:
Standard normal distribution approximations using Abramowitz and Stegun method
Proper annualization factors (365-day year)
Continuous compounding for interest rate calculations
Lognormal price distribution assumptions
Alert Conditions
Four categories of automated alerts:
Price-Based : Underlying crossing strike price
Gamma-Based : 50% surge detection for explosive moves
Moneyness : Deep ITM alerts when |delta| > 0.9
Time/Volatility : Near expiration and vega spike warnings
Practical Applications
For Options Traders
Monitor all Greeks in real-time for active positions
Identify optimal entry/exit points using IV rank
Visualize risk through probability cones and gamma zones
Track time decay and plan rolls
For Volatility Traders
Compare IV across different expiries
Identify mean reversion opportunities
Monitor vega exposure across strikes
Track higher-order volatility sensitivities
Conclusion
The Crypto Options Greeks & Volatility Analyzer transforms complex mathematical models into actionable visual insights. By combining institutional-grade Greeks calculations with intuitive overlays like probability cones and gamma zones, it bridges the gap between theoretical options knowledge and practical trading application.
Whether you're:
A directional trader using options for leverage
A volatility trader capturing IV mean reversion
A hedger managing portfolio risk
Or simply learning about options mechanics
This tool provides the quantitative foundation needed for informed decision-making in cryptocurrency options markets.
Remember that options trading involves substantial risk and complexity. The Greeks and visualizations provided by this indicator are tools for analysis - they should be combined with proper risk management, position sizing, and a thorough understanding of options strategies.
As crypto options markets continue to mature and grow, having professional-grade analytics becomes increasingly important. This indicator ensures you're equipped with the same analytical capabilities used by institutional traders, adapted specifically for the unique characteristics of 24/7 cryptocurrency markets.
Ultimate Precision Buy/Sell with SL - Clean Labels FIXThis is a premium indicator designed for traders who demand accuracy, simplicity, and clean visual signals.
✅ Key Features:
📈 Precise Buy/Sell entries based on trend confirmation (EMA) and momentum (RSI)
🛡️ Automatic Stop Loss (SL) drawn for every trade, calculated from ATR
🔄 SL line dynamically moves with each new candle to reflect live action
❗ Only one active signal at a time – no clutter, no repaints
⏱ Optimized for 1H timeframe
💰 Best for Forex pairs, Gold (XAUUSD), Silver (XAGUSD), Platinum (XPTUSD)
🧠 How it works:
Buy Signal: When fast EMA > slow EMA & RSI crosses above 30
Sell Signal: When fast EMA < slow EMA & RSI crosses below 70
A single SL line is drawn per trade and remains until either:
Opposite signal appears, or
SL is hit
⚠️ No repainting. No noise. Just precision.
If you want to trade smart, clean and with confidence – this indicator is built for you.
Composite Trend Trader Module [BackQuant]Composite Trend Trader Module
Overview and Purpose
The Composite Trend Trader Module (CTM) is an invite-only Pine Script indicator designed to provide traders with a comprehensive tool for trend-following, dip-buying, and market strength assessment. By integrating multiple market data inputs—price momentum, volatility, volume, and statistical baselines—the CTM generates actionable outputs for trend identification, swing trade entries, and dip-buying opportunities. The indicator is intended for traders seeking a systematic approach to market analysis with customizable settings, while maintaining simplicity in its user interface. As a closed-source script, the underlying calculations remain proprietary, but this description outlines its functionality, features, and practical applications in trading.
Visual Components
The CTM provides the following visual elements on the chart:
• Signal Spine – A colored line (default 25-period weighted moving average) that reflects the dominant trend—green for bullish, red for bearish, and grey for neutral or transitional periods.
• Swing Triggers – Unicode markers ("𝕃" for long, "𝕊" for short) appear below or above bars when the trend shifts, signaling potential swing trade entries.
• Dip-Hunter Signals – Green arrows mark dip-buying opportunities, accompanied by faint green background highlights and forward-projecting entry lines for precise entry levels.
• Heat Meter – A horizontal strip at the bottom of the chart, graded from -50 (overheated) to +50 (deep dip), visually indicates the strength of dip conditions using a red-to-green gradient.
Core Features
The CTM comprises several components that work together to deliver a cohesive trading framework. Below is a detailed explanation of each, without disclosing proprietary calculations.
1. Universal Trend Tracking (UTT)
The UTT combines multiple momentum and statistical indicators into a single composite score ranging from -1 to +1. This score is derived from:
• Price-based momentum metrics.
• Volatility-adjusted thresholds.
• Statistical measures of price deviation and market structure.
When the UTT score exceeds +0.2, the market is considered in an actionable uptrend; below -0.2, a downtrend is identified. Values between these thresholds indicate a neutral or choppy market, helping traders avoid low-probability setups during consolidation.
2. Signal Spine
The signal spine is a 25-period weighted moving average of price, colored according to the UTT score (green for bullish, red for bearish, grey for neutral). This line serves as a visual anchor for tracking the prevailing trend and highlights regime changes in real time, enabling traders to align their strategies with market direction.
3. Swing Triggers (𝕃/𝕊)
Swing trade signals are generated when the UTT crosses the zero line, indicating a shift in market regime. A "𝕃" marker appears below the bar for a bullish crossover (potential long entry), and a "𝕊" marker appears above for a bearish crossover (potential short entry). These signals incorporate volatility-adaptive thresholds to minimize false triggers during low-volatility periods, improving reliability compared to traditional moving-average crossovers.
4. Dip-Hunter Engine
The Dip-Hunter subsystem identifies high-probability dip-buying opportunities by evaluating five conditions:
• Dip Magnitude – The price must have fallen by a user-defined percentage (default 2%) from a recent swing high, calculated over a specified lookback period (default 5 bars).
• Volume Burst – Current volume must exceed the average volume over a user-defined lookback (default 65 bars) by a specified multiplier (default 2x).
• Volatility Spike – The intraday range or Average True Range (ATR) must exceed a statistical baseline by a user-defined multiplier (default 1.5x).
• Structural Permission – Price must be below a fast Exponential Moving Average (EMA, default 20 periods), and the market structure must be bearish (fast EMA below slow EMA, default 50 periods).
• Trend Filter (Optional) – When enabled, dip signals are only generated if the UTT indicates a bullish trend, preventing trades against a bearish macro environment.
When these conditions align, the Dip-Hunter plots a green arrow, highlights the candle background, and draws a forward-projecting horizontal line at a user-selected price level (Low, Close, or calculated dip percentage).
5. Strength Score and Heat Meter
Each bar is assigned a strength score (0 to 5, or -50 to +50 when scaled for the heat meter) based on the following criteria:
• +1 for meeting the dip threshold.
• +1 for a volume spike.
• +1 for a volume momentum spike (based on rate-of-change).
• +1 for a confirmed volatility spike.
• +1 if price is below the fast EMA.
• +2 if the macro trend filter is bullish (when enabled).
The heat meter visualizes this score as a pointer on a red-to-green gradient strip, enabling traders to quickly assess the intensity of dip conditions and prioritize high-quality setups.
6. Entry-Line Generator
For each dip signal, the CTM draws a forward-projecting horizontal line to mark potential entry levels. Traders can configure:
• The price level for the line (Low, Close, or exact dip percentage).
• The duration of the line (default 100 bars).
• A minimum gap between signals (default 5 bars) to prevent overlapping lines during clustered events.
These lines serve as visual guides for setting limit orders or stop-loss levels.
7. Alerts
The CTM includes seven pre-configured alert conditions to support automated workflows:
• CTM Long/Short – Triggered on bullish or bearish UTT zero-line crossovers for swing trades.
• Market Overheated – Activates when the strength score falls below -40, indicating potential exhaustion.
• Close to Dip – Signals when the strength score reaches 0.6, suggesting an impending dip opportunity.
• Dip Confirmed – Fires on the first bar meeting all dip conditions.
• Dip Active – Triggers while dip conditions remain valid.
• Dip Fading – Activates when the strength score crosses below 0.5, indicating a weakening dip.
• Trend-Blocked – Alerts when dip conditions are met but blocked by the trend filter.
These alerts can be routed to brokers or trading bots for seamless execution.
"CPM Long Signal {{exchange}}:{{ticker}}")
"CPM Short Signal {{exchange}}:{{ticker}}")
"Market overheated {{ticker}}")
"Close to a dip {{ticker}}")
"Dip confirmed {{ticker}}")
"Dip active {{ticker}}")
"Dip strength fading {{ticker}}")
"Signal blocked by trend filter {{ticker}}")
User Controls
The CTM offers extensive customization to adapt to different trading styles and preferences:
• Signal Settings – Toggle the signal spine, composite score plot, swing triggers, and bar coloring. Adjust line width for visibility.
• Display Settings – Customize bullish, bearish, and neutral colors to match chart templates.
• Dip-Hunter Settings – Configure volume lookback, spike multipliers, EMA periods, volatility thresholds, dip percentage, and lookback bars.
• Trend Filter – Enable or disable the requirement for a bullish UTT before dip signals are generated.
• Strength & Meter – Toggle bar coloring based on the strength score, adjust the number of meter cells (default 60), and select meter position (e.g., bottom-center).
• Entry Settings – Control entry line visibility, length, and price source (Low, Close, or dip percentage).
Trading Applications
The CTM supports multiple trading strategies, each leveraging its outputs for specific market conditions:
• Trend-Ride Mode – Trade in the direction of the signal spine. Enter long positions on the first "𝕃" marker in a green (bullish) regime, and scale out when the UTT returns to grey (neutral). This is ideal for trend-following traders seeking to capture sustained moves, with the first signal in a new trend regime offering high statistical expectancy.
• Forced Dip Entries – Enable the trend filter and focus on dip signals (green arrows). Place limit orders at the entry line, set stops below the line, and target the midpoint of the prior value area (e.g., using support/resistance levels). This suits mean-reversion traders aiming to buy dips in bullish trends, with clear risk management via entry lines.
• Scalp Confirmation – Hide the signal spine and use bar coloring to identify short-term momentum. Green bars indicate broad buying pressure, while red bars warn against long scalps in oversold conditions. This is useful for intraday scalpers seeking confirmation of momentum before entering trades.
• Event Guardrails – Avoid trading when the heat meter is below -40 before major economic releases (e.g., FOMC, CPI), as spreads and slippage may widen. This enhances risk management by flagging high-risk periods during macroeconomic events.
• Multi-Timeframe Analysis – Apply the CTM on a daily timeframe in a secondary pane and a lower timeframe (e.g., hourly) on the primary chart. Trade only when both timeframes align (e.g., both in bullish regimes). This increases conviction for swing or position traders by confirming trend alignment across timeframes.
Frequently Asked Questions
• How does the CTM differ from a moving-average ribbon? The CTM integrates multiple momentum, volatility, and statistical indicators, using adaptive thresholds and proprietary calculations to respond faster to structural changes while filtering noise more effectively than traditional dual-EMA systems.
• Can the underlying formulas be accessed? No, the script is closed-source, and calculations are protected to preserve intellectual property. Users receive all outputs, alerts, and customizable parameters.
• Does the indicator repaint? No, all calculations use confirmed historical data without look-ahead bias. Entry lines are static from the signal bar.
• Which markets is it suitable for? The CTM is optimized for equities, futures, and cryptocurrencies. Adjust dip percentage and volume multipliers for low-liquidity markets.
• What about latency? The script uses efficient Pine Script functions and lightweight loops, ensuring minimal performance impact.
Limitations and Best Practices
• Market-Specific Tuning – Thinly traded markets may require adjustments to dip percentage and volume thresholds to avoid excessive signals.
• Complementary Tools – Combine the CTM with price action, support/resistance levels, or order flow analysis to confirm signals and avoid over-reliance on the indicator.
• Event Risk – Be cautious during high-impact news events, as volatility spikes may trigger signals that are quickly reversed.
• Trend Filter Use – Enabling the trend filter reduces false dip signals in bearish markets but may delay entries in rapidly reversing markets.
Conclusion
The Composite Trend Trader Module consolidates trend-following, dip-buying, and strength assessment into a single, customizable indicator. By providing clear visual cues, actionable alerts, and flexible settings, it equips traders with a robust framework for navigating various market conditions. While the proprietary calculations remain protected, the CTM’s outputs enable traders to make informed decisions, align strategies with market regimes, and manage risk effectively. Use it as a strategic tool alongside sound risk management and complementary analysis for optimal results.
