AndrologQuartileAndrologQuartile
This indicator is based on the assumption that if a candle closes in the upper or lower quartile of its range, the next candle often tends to take out the high or low of that candle.
The script does two things:
It calculates and displays live statistics on how often this condition occurs and how often it is successful.
It highlights candles that meet the quartile condition so you can track them in real time.
It is most meaningful to use this indicator on higher timeframes (from 1h upwards).
You can also set an alert: once configured, the alert will always trigger for the timeframe that was active at the moment of setup.
Usage tip:
Click the statistics panel in the top right corner to adjust settings and alerts.
Adjustable parameters:
Quartiles: Default values are 25% and 75%.
Min Distance: Defines how far the high/low must be from the candle’s close (in %) to be considered relevant. A smaller value is applied automatically on intraday timeframes under 5 minutes.
Statistics
Size & LeverageSize and Leverage calculator for trading, using market orders. It will calculate maximum possible leverage by default in order to prioritize capital efficiency. If you wish to use manual leverage you need to manually enter it in the settings. The script rounds both auto leverage and size to your liking. Entry price is always last price. Size is the actual size you need to input, adjusted to your leverage, cost means the margin required to open the trade. I made this indicator as a binance futures user.
VSA Highlight & Relative Strength of Volume [odnac]This is a TradingView indicator combining VSA (Volume Spread Analysis) signals with a relative strength of volume visualization.
The indicator has two main parts:
1. VSA Volume Highlight:
Detects common VSA signals, including Stopping Volume, Buying Climax, No Supply, No Demand, Test, Up-thrust, Shakeout, Demand Absorption, and Supply Absorption.
Supports a trend filter using a user-selectable moving average type (SMA, EMA, WMA, or VWMA) and length.
Calculates spread and volume moving averages to determine wide/narrow spreads and high/low volume relative to the averages.
Determines relative bar positions (close near high, close near low, or mid-close) to categorize VSA signals.
Optionally colors the background based on the detected VSA signal.
Supports alerts for each VSA signal type.
2. Relative Strength of Volume:
Splits total volume into buying and selling components based on the candle’s high, low, and close.
Buying volume is calculated as volume times the proportion of the candle’s close above the low.
Selling volume is calculated as volume times the proportion of the candle’s close below the high.
Plots buying and selling volume as colored columns in the pane.
Plots total volume in the status line colored according to the dominant side (buying or selling).
Inputs include:
Toggle visibility for each VSA signal.
Trend filter options (type and length).
Volume and spread moving average lengths and multipliers for high/low volume and wide/narrow spread detection.
Thresholds for close positions near high or low, and for identifying Buying Climax.
Opacity for VSA volume highlights.
The indicator is designed to help traders visually identify key volume patterns and analyze buying and selling pressure in the market.
Custom Support & Resistance Levels (Manual Input)This indicator lets you plot your own support levels (and can be extended for resistance) directly on the chart by entering them as comma-separated values.
📌 Supports manual input for multiple price levels.
📊 Lines are extended across the chart for clear visualization.
🎨 Dynamic coloring:
Green if the current price is above the level.
Red if the current price is below the level.
🧹 Old lines are automatically cleared to avoid clutter.
This tool is ideal if you:
Prefer to mark your own key zones instead of relying only on auto-detected levels.
Want clean and simple visualization of critical price areas.
👉 Coming soon: Resistance levels input (commented in the code, can be enabled).
Alpha Spread Indicator Panel - [AlphaGroup.Live]Alpha Spread Indicator Panel –
This sub-panel plots the OLS spread between two assets, normalized into percent .
• Green area = spread above zero (Buy Leg1 / Sell Leg2)
• Red area = spread below zero (Sell Leg1 / Buy Leg2)
• The white line shows the exact % deviation of the spread from its fitted baseline
• Optional ±1% and ±2% guides give clear statistical thresholds
Because it’s expressed in percent relative to midprice , the scale remains consistent even if absolute prices change over years.
⚠️ Important: This panel is designed to be used together with the overlay chart:
👉 Alpha Spread Indicator Chart –
Pre-selected asset pairs included:
EURUSD / GBPUSD
AUDUSD / NZDUSD
USDJPY / USDCHF
USDCAD / USDNOK
EURJPY / GBPJPY
AUDJPY / NZDJPY
XAUUSD / XAGUSD
WTI (USOIL) / Brent (UKOIL)
NatGas / Crude
HeatingOil / RBOB
Corn / Wheat
Platinum / Palladium
XOM / CVX
KO / PEP
V / MA
JPM / BAC
NVDA / AMD
BHP / RIO
SHEL / BP
SPY / QQQ
Want more institutional-grade setups? Get our 100 Trading Strategies eBook free at:
alphagroup.live
Tags: pairs-trading, spread-trading, statistical-arbitrage, ols-regression, zscore, mean-reversion, arbitrage, quant, hedge, alphagroup
Alpha Spread Indicator Chart - [AlphaGroup.Live]Alpha Spread Indicator Chart –
This overlay plots the two legs of a pair trade directly on the price chart .
• Leg1 is shown in teal
• Leg2 (fitted) is shown in orange
• The green/red filled area shows the distance (spread) between the two
The spread is calculated using OLS regression fitting , which keeps Leg2 scaled to Leg1 so the overlay always sticks to the chart’s price axis. When the fill turns green , the model suggests Buy Leg1 / Sell Leg2; when it turns red , it suggests Sell Leg1 / Buy Leg2.
Optional Z-Score bands help visualize statistical stretch from the mean.
⚠️ Important: To use this tool properly, you also need to install the companion script:
👉 Alpha Spread Indicator Panel –
Pre-selected asset pairs included:
EURUSD / GBPUSD
AUDUSD / NZDUSD
USDJPY / USDCHF
USDCAD / USDNOK
EURJPY / GBPJPY
AUDJPY / NZDJPY
XAUUSD / XAGUSD
WTI (USOIL) / Brent (UKOIL)
NatGas / Crude
HeatingOil / RBOB
Corn / Wheat
Platinum / Palladium
XOM / CVX
KO / PEP
V / MA
JPM / BAC
NVDA / AMD
BHP / RIO
SHEL / BP
SPY / QQQ
Ready to take your trading further? Download our free eBook with 100 trading strategies at:
alphagroup.live
Tags: pairs-trading, spread-trading, statistical-arbitrage, ols-regression, zscore, mean-reversion, arbitrage, quant, hedge, alphagroup
Standard Deviations [MTRX]The standard deviations script identifies manipulation ranges and automatically draws standard deviation fibonacci retracements on the wicks of the candles. You can use the given deviation points to take high probability retracement or reversal trades.
NYC Candle Times Grid Muestra el horario de apertura de las velas en diferentes time frames.
Displays the opening hours of the candles in different time frames.
Gott's Copernican Trend PredictorThe Gott's Copernican Trend Predictor predicts trend duration using the Copernican Principle - Based on astrophysicist Richard Gott's temporal prediction method.
I had the idea to create this indicator after reading the book The Doomsday Calculation by William Poundstone.
Background & Theory
This indicator implements J. Richard Gott III's Copernican Principle - a statistical method that famously predicted the fall of the Berlin Wall and the duration of Broadway shows with remarkable accuracy.
The Copernican Principle Explained
Named after Copernicus who showed that Earth is not at the center of the universe, this principle assumes that you are not observing something at a special moment in time. When you observe a trend at any random point, you're statistically more likely to be seeing it during the "middle portion" of its lifetime rather than at its very beginning or end.
The Mathematics
Gott's formula provides a 95% confidence interval for how much longer a trend will continue:
Minimum remaining duration = Current Age ÷ 39
Maximum remaining duration = Current Age × 39
The factor of 39 comes from statistical analysis where:
There's only a 2.5% chance you're observing in the first 1/40th of the trend's life
There's only a 2.5% chance you're observing in the last 1/40th of the trend's life
This gives us 95% confidence that the trend will last between Age/39 and Age×39
How It Works
Trend Detection
The indicator uses dual moving averages (default: 50 & 200 period) to identify trend changes:
Bullish Cross: Fast MA crosses above Slow MA → Uptrend begins
Bearish Cross: Fast MA crosses below Slow MA → Downtrend begins
Real-Time Predictions
Once a trend is detected, the indicator continuously calculates:
Trend Age: How long the current trend has been active
Gott's 95% CI: Statistical range for remaining trend duration
Projected End Dates: Calendar dates when the trend might end
How to Use
Setup
Add the indicator to any timeframe (works on minutes, hours, days, weeks)
Customize MA periods and type (SMA, EMA, WMA)
Choose table position and font size for optimal viewing
Interpretation
Example: If a trend is 100 hours old:
Minimum duration: 100 ÷ 39 = ~3 more hours
Maximum duration: 100 × 39 = ~3,900 more hours
95% confidence: The trend will end between these times
This indicator might be useful for swing traders, trend followers, and quantitative analysts.
Coca-Cola example:
Coca-Cola's chart shows an uptrend spanning 810 weeks, approximately 15.5 years. According to Gott's Copernican Principle, this trend age generates a 95% confidence interval predicting the trend will continue for a minimum of 20 weeks and a maximum of 31,590 weeks.
On the other hand, a shorter trend age produces a proportionally smaller minimum duration and different risk profile in terms of statistical continuation probability. For this reason, more recent trends (and more recent companies) are likely to remain in trend for shorter.
VSA Signals [odnac]This indicator applies Volume Spread Analysis (VSA) concepts to highlight important supply and demand events directly on the chart. It automatically detects common VSA patterns using price spread, relative volume, and candle structure, with optional trend filtering for higher accuracy.
Features:
Stopping Volume (SV): Signals potential end of a downtrend when heavy buying appears.
Buying Climax (BC): Indicates exhaustion of an uptrend with heavy volume near the top.
No Supply (NS): Weak selling pressure, often a bullish sign in an uptrend.
No Demand (ND): Weak buying interest, often a bearish sign in a downtrend.
Test: Low-volume test bar probing for supply.
Up-thrust (UT): Failed breakout with long upper wick, often a bearish trap.
Shakeout: Bear trap with high-volume wide down bar closing low.
Demand Absorption (DA): Demand absorbing heavy selling pressure.
Supply Absorption (SA): Supply absorbing heavy buying pressure.
Additional Options:
Background highlights for detected signals.
Configurable moving average (SMA, EMA, WMA, VWMA) as a trend filter.
Adjustable multipliers for volume and spread sensitivity.
Legend table for quick reference of signals and meanings.
Alerts available for all signals.
This tool is designed to help traders spot professional accumulation and distribution activity and to improve trade timing by recognizing supply/demand imbalances in the market.
Weekly High/Low Day StatsThis TradingView Pine Script (v5) analyzes weekly highs and lows to identify on which day of the week (Monday → Friday) they most frequently occur.
🔎 How it works:
Tracks the weekly highest high and lowest low.
At the end of each week, it records the day of the week when the high and low were set.
Keeps historical data for the last 100 weeks (adjustable).
Displays a table showing:
How many times each day marked the weekly high or weekly low.
The corresponding percentage distribution.
🎯 Use case:
Helps traders understand the weekly timing tendency
Reveals which day is statistically more likely to set the weekly high or weekly low.
Useful for weekly planning and strategies that rely on market structure and timing (e.g., ICT concepts like the "High/Low of the Week").
DEE's ORB v3.0🇺🇿 O‘zbek
Ushbu indikator ORB strategiyasi bilan savdo qiladiganlar uchun foydali bo‘ladi, deb o‘ylayman.
Tanlangan vaqt oralig‘ida tanlangan time-frame barining High va Low’lari asosida avtomatik kanal (ORB) yaratiladi hamda BUY va SELL signallar beriladi va har bir signal uchun dastur orqali va tanlangan mail manziliga Alert yuboriladi.
Sozlamalar orqali deyarli barcha parametrlarni sozlash mumkin.
© Dilshod Nurmatov Shuhratovich | deetradesonline | 2025
🇷🇺 Русский
Я думаю, этот индикатор будет полезен для тех, кто торгует по стратегии ORB.
На основе High и Low выбранного бара в заданном таймфрейме автоматически строится канал (ORB), после чего формируются сигналы BUY и SELL. Для каждого сигнала отправляется Alert как через платформу, так и на указанную электронную почту.
Через настройки можно изменить практически все параметры.
© Дильшод Нурматов Шухратович | deetradesonline | 2025
🇺🇸 English
I believe this indicator will be useful for traders using the ORB strategy.
Based on the High and Low of the selected bar within the chosen timeframe, an automatic channel (ORB) is created, and BUY/SELL signals are generated. For each signal, an Alert is sent both via the platform and to the specified email address.
Almost all parameters can be customized through the settings.
© Dilshod Nurmatov Shuhratovich | deetradesonline | 2025
Realized Volatility (StdDev of Returns, %)📌 Realized Volatility (StdDev of Returns, %)
This indicator measures realized volatility directly from price returns, instead of the common but misleading approach of calculating standard deviation around a moving average.
🔹 How it works:
Computes close-to-close log returns (the most common way volatility is measured in finance).
Calculates the standard deviation of these returns over a chosen lookback period (default = 200 bars).
Converts results into percentages for easier interpretation.
Provides three key volatility measures:
Daily Realized Vol (%) – raw standard deviation of returns.
Annualized Vol (%) – scaled by √250 trading days (market convention).
Horizon Vol (%) – volatility over a custom horizon (default = 5 days, i.e. weekly).
🔹 Why use this indicator?
Shows true realized volatility from historical returns.
More accurate than measuring deviation around a moving average.
Useful for traders analyzing risk, position sizing, and comparing realized vs implied volatility.
⚠️ Note:
It is best used on the Daily Chart!
By default, this uses log returns (which are additive and standard in quant finance).
If you prefer, you can easily switch to simple % returns in the code.
Volatility estimates depend on your chosen lookback length and may vary across timeframes.
VISION BY PHAS3Evidence over guesswork.
This indicator draws boxed zones you trade from and tracks how price actually behaves around them. For a chosen analysis period, it records:
Entries – how many times price reached each zone
TP Hits – how many times price hit take-profit after entering the zone
SL Hits – how many times price hit stop-loss after entering the zone
These simple, hard counts are shown in an on-chart display panel so you can judge whether a zone is statistically sufficient to trade during the current period. If price avoids a zone entirely during the period, that tells you something too: the zone attracted no retraces. ......Plots trading zones as boxes (your zones, your logic).
Draw or define one or more boxes that represent the areas you trade from.
Tracks real outcomes per zone over a specific period.
Each time price enters a zone, that’s an Entry. From that entry, the script checks which happens first: your TP or your SL. .......Displays a compact stats panel for quick, on-chart decisions .......This combination (Entries, TP, SL, Win Rate) lets you decide whether a zone has enough activity and edge to use right now. If the period shows thin entries or the win rate is weak, you can stand down until conditions improve. ......How to use it
Mark your tradeable zones as boxes (supply/demand, fib clusters, key structure—your method).
Set the analysis period appropriate for your strategy (e.g., recent days/weeks or a specific month).
Define TP/SL distances that match your plan (e.g., 1:1 RR if that’s what you use).
Read the panel:
Entries shows if the zone was active enough to matter.
TP vs SL shows how outcomes actually landed.
Win Rate is just TP ÷ Entries, so you can judge sufficiency at a glance.
Act or stand down based on the data: if entries are frequent and the win rate is strong for the current period, the zone may be usable; if not, wait. ........Why traders use it
Keeps you honest with the simplest possible stats that matter for zones.
Avoids overfitting: counts only Entries, TP, and SL—no hidden filters. ....Disclaimer
For educational purposes only. Not financial advice. Past performance does not guarantee future results. Always test and manage risk.
VWAP of Last N Completed Days (v6)This is a rolling VWAP indicator with a simple modifier to change the lookback days. It only uses completed sessions for the VWAP.
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.
🏛️ INSTITUTIONAL TRENDLINE v8 • Open Source🏛️ INSTITUTIONAL TRENDLINE v8 • Open Source
Adaptive S/R discovery with ML scoring, MTF confluence, and event-driven alerts
What it does (in one breath):
This indicator auto-discovers institutional-grade trendlines / dynamic support & resistance, scores them for quality using a dual-regime ML model (trend vs. range), validates them with multiple techniques (Theil–Sen, Huber, ATR/RSI/MACD/EMA, MTF confluence), then tracks breakouts, retests, failed breaks, proximity/touch events, and learns from outcomes to adapt over time. A visual panel summarizes stats, and optional heatmap/zones show where price is most “supported” or “capped”.
🚀 Quick Start (2 minutes)
Add to chart and leave defaults.
At the top of Inputs:
🎛️ Preset → choose your style: Scalper, Swing, Investor (or Custom).
🧬 Market Profile → pick Crypto/FX/Stocks + style or “Auto by Timeframe”.
Keep 🎯 Accuracy Mode = Quantum AI and ⚡ Performance = Maximum Quality if your device handles it.
Turn on 💥 Breakout Signals and 🚨 Alerts if you want notifications.
Read the right-side panel: Active Lines, Avg Q, Best Line, Market State, Nearest S/R, Top-3 lines, Pattern, Touch counts.
That’s it. You’ll see thinner, professional trendlines, small labels, optional zones, and tasteful break/retest markers.
🧠 How it works (plain English)
Discovery: It samples price pairs (with a swing-pivot bias) and fits many candidate lines.
Inlier-only R²: Instead of punishing outliers, it measures how tight touching bars are to a line.
ML Quality (0–100): Six signals (Touches, Volume @ touches, RSI, MACD, Volatility, Duration) are weighted differently for Trend vs Range regimes.
Validation: Rejects lines that disagree across Theil–Sen and Huber regressions (>15% slope deviation), fail slope/ATR filters, or lack MTF confluence.
Live tracking: Once a line is on the chart, the script watches for Breakouts → Retests → Failed breaks, and logs outcomes to continually re-weight the ML model (if enabled).
🎛️ Inputs (top section first)
1) Presets & Profiles (at the top)
🎛️ Preset
Scalper – lower lookbacks, faster, more signals.
Swing – balanced lookbacks, 2–4 lines per window.
Investor – longer lookbacks, fewer but stronger lines.
Custom – you control everything below.
🧬 Market Profile
Tailors thresholds for Crypto / FX / Stocks and your style (Scalper / Swing / Investor). Choose Auto by Timeframe to adapt from your chart resolution.
These two choices set “effective” requirements under the hood (min quality, R², proximity windows, cleanup cadence, etc.) so you don’t have to micromanage.
2) 🤖 Machine Learning Engine
Enable ML Enhancement – turns the adaptive scoring on/off.
ML Sensitivity – caps the maximum achievable score (lower = stricter).
Adaptive Learning – updates weights after each confirmed outcome.
Outcome Window (bars) & Target (ATR) – define when a breakout is counted as success or fail for learning.
Dual-Regime Models – separate weight sets for Trend and Range.
Tip: If results look “too picky,” raise ML Sensitivity slightly (e.g., 0.85→0.95).
3) 🎯 Accuracy & Filters
Minimum Touch Points / Quality / R² – base requirements for new lines.
Multi-Algorithm Validation – confirms slope across three regressions.
Volume / RSI / MACD / EMA / ATR filters – optional evidence checks.
No-Repaint Strict (HTF closed only) – for purists; fewer but cleaner MTF confirmations.
4) 🧠 Pro Logic / MTF
Swing-Anchored Sampling Bias – increases hits on meaningful swings.
HTF 1 / HTF 2 – reference frames for confluence (e.g., 4H & 1D).
HTF Bars to Scan / Touches Needed – how much agreement to demand.
Geometric Midline Agreement – proximity to HTF midlines (20-SMA).
Midline Distance Threshold (×ATR) – how strict that midline check is.
5) 💎 Visual System
Display Trendlines / Zones / Smart Labels / Breakout Signals / Heatmap – toggle pieces on/off.
Visual Theme & Color Intensity – pick a palette; v8 lines are thinner with subtle gradients.
Highlight Top-3 Lines – faint halo on the three highest-quality lines.
Limit Signal Markers / Bar – prevents clutter in fast moves.
Tip: For the cleanest chart: show Trendlines + Breakouts, keep Zones semi-transparent, and enable Heatmap only when you want confluence context.
6) 🚨 Alerts
Enable Smart Alerts – master switch.
Alert Quality Threshold – only alert for lines ≥ this Q%.
Base Proximity (ATR) & Slope-Adaptive Proximity – how close is “near”.
Retest / Failed-Break Windows – how long after a break to track.
Per-Line Cool-Off (bars) – spacing to avoid spam.
Consolidated JSON Alert/Bar – single JSON payload with all events per bar (great for bots).
Fire Inline Alerts (verbose) – pop real-time alerts the moment events occur.
Alert names (mapped to alertconditions):
🆕 New S/R Created
📍 Approaching Trendline
🎯 Touching Trendline
🟢 Bullish Breakout / 🔴 Bearish Breakdown
♻️ Bullish Retest / ♻️ Bearish Retest
⛔ Failed Break
7) ⚡ Performance
Performance Mode – quality vs speed.
Max New Lines per Lookback/Bar – caps how many fresh lines a bar can add.
Cleanup Interval (bars) & Max Lines to Keep – automatic memory & clutter control.
Theil–Sen Sampled Pairs – fewer = faster; more = robust.
📈 How to read the chart
Lines:
Color = Support (green) or Resistance (red) at current price.
Thickness/Style = relates to Quality and Touches (higher Q = slightly bolder).
Labels show a badge (💎 🏆 ⭐ ✅ 📊) with Q%. Tooltip lists touches, R², price@line, lookback, and which evidences are ON.
Zones: Soft confidence corridors around lines (ATR-scaled).
Heatmap: A faint background tint—dominant support, resistance, or neutral/confluence.
Break markers: tiny ▲ / ▼ (or 🚀/💀 when very strong). Retests and failed breaks are tagged separately.
Top-3 glow: subtle halo on the three best lines right now.
🧭 Trading workflow (example)
Scenario A – Trend continuation
Market panel shows TREND; Top-3 lines include two rising supports ≥90% Q.
Price approaches one of them → Touch → Bullish breakout above a local resistance line.
Wait for ♻️ Retest of that broken line from above; if RSI>50 & MACD>0 (shown in panel), open a long with stop just under the line or zone.
Exit partials at next resistance line; trail under the line.
Scenario B – Range fade
Panel says RANGE; heatmap is neutral/confluence.
Price tags a high-Q red line and prints Touch without breakout, while RSI>60 cools off.
Enter a mean-revert short with stop above the line; target midrange or next green line.
If a Bullish breakout fires during the trade → respect the Failed Break logic; exit quickly.
Scenario C – Breakout trader
Filter only lines with Q ≥ 90% and alerts ON.
When Breakout triggers with strength ≥ 4/7 (see panel), take a starter.
Add on Retest if it prints within your retest window and confluence still looks good.
Manage risk with ATR or zone width.
This is a levels & event indicator. It doesn’t replace your system; it gives objective lines and objective events around those lines.
✅ Best-practice setup
Presets/Profiles: Start with Swing + your Market Profile.
ML Sensitivity: 0.90–0.95 for most markets.
Alerts: Set Alert Quality ≥ 85–90, Cool-Off = 4–6 bars.
MTF: Use 4H + 1D on intraday; 1D + 1W on daily charts.
Clutter control: Max Lines ~200, Cleanup ~50 bars, Signal cap 6/bar (defaults are sensible).
No-repaint strict: Turn on for signal review; turn off if you want more frequent MTF confirmations in real time.
🔬 Research Mode (optional)
Enable 🧪 Research Mode to track win-rates by quality buckets. The panel shows Win% so you can calibrate your thresholds per market.
⚠️ Notes & limitations
This is open-source research software. Past performance ≠ future results.
Learning requires time: the ML engine adapts after outcomes; don’t expect instant magic.
Very low-liquidity symbols may produce fewer reliable lines; increase lookbacks or tighten filters.
MTF data uses request.security with no lookahead; turning No-Repaint Strict on can further reduce signals.
🧩 Troubleshooting
“Too many lines.” Raise Min Quality / R², lower Max Lines, or reduce cap per lookback.
“Too few lines.” Lower Min Quality a bit, raise ML Sensitivity, or choose an easier Preset/Market Profile.
“Alerts are spammy.” Raise Alert Quality, increase Cool-Off, increase Proximity threshold.
“Performance is slow.” Use Balanced / Fast, reduce Theil–Sen pairs, or extend Cleanup Interval.
📦 Included alertconditions (for one-click alert rules)
New S/R Created
Approaching Trendline
Touching Trendline
Bullish Breakout / Bearish Breakdown
Bullish Retest / Bearish Retest
Failed Break
Enjoy, share feedback, and feel free to fork.
If you publish ideas using it, please credit “INSTITUTIONAL TRENDLINE v8 • OS” so other traders can find the open-source original. Happy trading! 🫶
Atr avg monthly by PanzerDisplay average ATR for 6 and 12 completed months in a text information table on the chart.
These values are handy for calculating options strategies.
Table can be display on several positions on chart.
BÖRÜ LONDON FIX PRICEThis indicator displays London fix prices and plots them as areas. Gold can be traded using this data.
The “London Fix Price” is a global, daily set price for precious metals issued by the London Bullion Market Association (LBMA) and its member banks, the largest OTC (over-the-counter) traders of physical metals in the world. The price is agreed upon and fixed based on current buying/selling interest. For gold it is set twice per day and once per day for silver.
The London market issues a “fix” price twice per day for gold, and once per day for silver. These fix prices are a benchmark used by institutions, producers, and other large market participants to price contracts and settle large buy and sell orders. Refineries and mining companies also use them to value inventories.
The process is essentially an auction method. The fix price is set once the gross amount of buy orders matches the gross amount of sell orders among all participating banks. This assures that all large orders will be executed at a common price.
The fixing process has been ongoing since 1919. It occurs in London because for many years it was home to most wholesale gold transactions in the world. London is still considered one of the primary gold marketplaces.
As is evident, the gold and silver fix prices are not designed for the general public. They are used to conduct wholesale orders, and dealers will not normally open an account for a private investor. Most investors could not trade at this level anyway; settlement conditions are a “good delivery” bar, generally 400 ounces in size.
Bills Advanced Market Sessions V5Bill007 Advanced Enhanced Market Sessions & Table V5 is a TradingView Pine Script indicator that
visualizes major stock market sessions and data for (Tokyo, London, New York, Sydney, Frankfurt) on charts.
**Purpose and Logic:**
- Visual Displays include session boxes, open/close/average lines, labels for session
names/metrics (ticks, avg price, volume), and trend labels (UP/Down/Neutral with % change)
and a Debug table.
- Uses custom types (SessionDisplay, SessionInfo) and methods to create/update sessions
dynamically, handling multi-part sessions (e.g., Tokyo breaks).
- Batch updates sessions for efficiency, checks timezones, weekdays, and daily changes to avoid
duplicates.
- Includes tables for session times/status/countdowns and debug metrics (tick range, average
price, volume, trend %, open, close).
- Supports 25 timezones for accurate global session timing.
- All labels have dynamaic tooltips that provide extra outputs which saves chart clutter
- Realtime lastbar session updates for current session
**Settings:**
- Select Market Sessions to suit
- Toggles for lines, ranges, averages, volumes, labels, boxes, weekends.
- Customizable colors, timezones, session times, thresholds for neutral trends, label offsets to
move labels around for clearer visuals.
- Table position/timezone, debug options.
- Timezone select to update Session times open close according to what time zone you're in
**Benefits:**
- Enhanced session data at a glance
- Enhances multi-market awareness, highlights session overlaps, trends, and key metrics.
- Aids timing entries/exits, volume analysis, reduces clutter with toggles.
- Supports global trading strategies with accurate timezone handling and visuals.