Real Rate Mortgage Framework [Gabremoku]Real Rate Mortgage Framework is a macro context indicator that estimates a simplified real-rate proxy by subtracting CPI YoY from a nominal government yield series. It is designed to help users assess borrowing conditions from a broader economic perspective, rather than to predict a specific mortgage quote or lender offer.
The script currently includes preset configurations for the United States and Italy, and it also supports custom sources so the framework can be extended to additional countries without changing the core logic. This modular structure makes the indicator suitable as a reusable framework for future country presets and custom macro implementations.
To make the output easier to read, the real-rate proxy is classified into four clearly labeled regimes: Excellent Rate, Good Rate, Acceptable Rate, and High Rate. These labels are paired with a color structure that makes the current macro environment immediately visible on the chart, in the label, and in the dashboard.
A moving average is applied to inflation to reduce the stair-step effect caused by monthly CPI updates and improve visual readability. The indicator also includes a summary dashboard, optional background regime shading, alerts, and a disclaimer so users can interpret the output as informational context rather than financial advice.
This script is intended for traders and investors who want a simple cross-country real-rate framework for macro analysis, mortgage context, and future expansion to additional national datasets. If you would like a new country or a different sovereign yield / inflation pair added, feel free to message me with your request so I can consider it for a future implementation. Indicator
Indicator
Market State Forecast Projection EngineThis indicator is a **forecast projection tool**. It looks at the current market environment, searches history for the most similar environments, then plots what usually happened afterward. It is not trying to predict the future with certainty. It is saying: “When the market looked like this before, what tended to happen next?”
The engine defines the current market environment using three things:
* **Trend**, based on moving averages.
* **Momentum**, based on RSI.
* **Volatility**, based on ATR.
Then it finds the closest historical matches, studies their future paths, and draws a forecast line with optional upper and lower bands.
---
## What You See on the Chart
### Forecast Midline
The main forecast line shows the **average path** of the selected historical matches.
In simple terms:
* If similar past situations usually moved higher, the line slopes up.
* If similar past situations usually moved lower, the line slopes down.
* If similar past situations were mixed, the line may be flat or choppy.
### Upper Band
The upper band shows the stronger side of historical outcomes.
It means:
* Some similar historical setups moved better than the average.
* The upper band gives you a visual idea of the upside range from those past examples.
* It is not a guaranteed target.
### Lower Band
The lower band shows the weaker side of historical outcomes.
It means:
* Some similar historical setups moved worse than the average.
* The lower band gives you a visual idea of downside risk from those past examples.
* It is not a guaranteed support level.
### Band Width
The space between the bands matters.
* Tight bands mean historical outcomes were more consistent.
* Wide bands mean historical outcomes were scattered and less reliable.
* A forecast with wide bands should be treated with more caution.
---
## Main Inputs
### Non-Repaint Mode
**Default: On**
This controls whether the forecast uses the live candle or the last completed candle.
Use **Non-Repaint Mode On** when:
* You want more stable signals.
* You want the forecast to update only after the candle closes.
* You care about cleaner historical testing.
Use **Non-Repaint Mode Off** when:
* You want the forecast to react during the current live candle.
* You accept that the forecast may change before the candle closes.
For most use cases, leave this **On**.
---
## Model Group
### Forecast Horizon
This controls how far into the future the indicator projects.
Example:
* On a daily chart, `20` means 20 trading days.
* On a 1-hour chart, `20` means 20 hours.
* On a 5-minute chart, `20` means 20 five-minute candles.
Use a lower value when:
* You are trading short-term moves.
* You want a tighter forecast window.
* You do not want the projection stretched too far.
Use a higher value when:
* You are looking for swing-trade context.
* You want to see the broader projected path.
* You are using higher timeframes.
A practical range is usually:
* `10–20` for shorter-term analysis.
* `20–50` for swing-style analysis.
---
### Search Depth
This controls how much history the engine searches.
Example:
* `1000` means the engine searches roughly 1,000 prior bars.
* `2000` means it searches more history.
* `500` means it searches less history.
Use a higher Search Depth when:
* You want a larger historical sample.
* You are on a short timeframe with lots of bars.
* You want more possible market-state comparisons.
Use a lower Search Depth when:
* You want the model to focus on more recent market behavior.
* You are on a slower chart like daily or weekly.
* You want less influence from older market regimes.
The tradeoff is simple:
* More history gives more examples.
* Less history may be more relevant to the current market regime.
---
### Pattern Matches
This controls how many of the closest historical matches are used.
This is one of the most important inputs.
If set to `30`, the engine finds the **30 closest historical market states** and builds the forecast from those.
Use fewer matches when:
* You want stricter, more specific comparisons.
* You want only the closest historical examples.
* You are okay with a forecast that may be more reactive.
Use more matches when:
* You want a smoother forecast.
* You want less noise from individual examples.
* You want a broader historical sample.
General interpretation:
* `10–20` = stricter, more selective.
* `25–40` = balanced.
* `50+` = broader, smoother, but less specific.
---
### Weight Closer Matches
This controls whether the best matches receive more influence.
When turned **On**:
* The closest historical matches matter more.
* Weaker matches still count, but less heavily.
* The forecast becomes more focused on the most similar examples.
When turned **Off**:
* Every selected match is treated equally.
* The forecast becomes more democratic.
* A very close match and a weaker match have the same influence.
For most users, leave this **On**.
---
## Advanced Model Inputs
### Forecast Model
This chooses how the engine defines the market environment.
All models use:
* EMA trend.
* RSI momentum.
* ATR volatility.
The difference is how each model emphasizes those ingredients.
---
### Conservative
Use **Conservative** when you want a slower, smoother model.
It is designed to:
* React less aggressively.
* Favor more stable market environments.
* Put more importance on trend and volatility.
* Reduce noisy forecast changes.
Best for:
* Daily charts.
* Swing trading.
* Slower-moving stocks or ETFs.
* Users who want fewer false shifts.
---
### Balanced
Use **Balanced** as the general-purpose default.
It is designed to:
* Give trend, momentum, and volatility a normal balance.
* Work across many markets.
* Avoid being too slow or too fast.
Best for:
* Most users.
* Most chart timeframes.
* General market forecasting.
* Starting point before testing other models.
---
### Aggressive
Use **Aggressive** when you want a faster model.
It is designed to:
* React more quickly to changing momentum.
* Give more influence to short-term market shifts.
* Be more sensitive to fresh moves.
Best for:
* Intraday trading.
* Fast-moving markets.
* Crypto.
* Momentum names.
* Traders who want earlier, more responsive shifts.
The downside is that it may be noisier.
---
### Trend Following
Use **Trend Following** when you want the model to emphasize persistent directional moves.
It is designed to:
* Care more about trend structure.
* Care less about short-term momentum noise.
* Favor markets that continue moving in the same direction.
Best for:
* Strong trending stocks.
* Indexes.
* Breakout environments.
* Higher-timeframe directional trading.
This model is less ideal in sideways or choppy markets.
---
### Mean Reversion
Use **Mean Reversion** when you want the model to focus on stretched conditions.
It is designed to:
* Emphasize momentum extremes.
* Look for environments where price may snap back or reverse.
* Care less about long-term trend persistence.
Best for:
* Range-bound markets.
* Overbought/oversold setups.
* Countertrend analysis.
* Shorter-term reversal ideas.
This model may fight strong trends, so use it carefully in momentum-heavy markets.
---
## Historical Lookback Inputs
### Lookback Bars
This lets you move the forecast backward in time.
Example:
* `0` means current forecast.
* `50` means show what the forecast would have looked like 50 bars ago.
* `250` means show what the forecast would have looked like 250 bars ago.
Use this for:
* Visual backtesting.
* Studying old setups.
* Checking whether the forecast was useful historically.
* Comparing forecast paths against what actually happened.
This is one of the most valuable testing features.
---
### Lock to Candle
This lets you anchor the forecast to a specific candle time instead of a simple bar offset.
Use it when:
* You want to test a specific time of day.
* You trade a regular session open.
* You want repeatable historical anchors.
Example:
* You can lock to the 13:30 UTC candle, which often corresponds to the U.S. stock market open during daylight saving time.
When this is off, the indicator uses **Lookback Bars** instead.
---
### Days Back
This works with **Lock to Candle**.
It tells the indicator how many matching anchor candles to go back.
Example:
* `0` = most recent matching candle.
* `1` = one matching session back.
* `2` = two matching sessions back.
Use this when:
* You want to test the most recent open.
* You want to test yesterday’s open.
* You want to step through past sessions one by one.
---
### Hour UTC
This is the UTC hour used for candle locking.
Use it with **Minute UTC** to identify the exact candle you want.
Example:
* `13` means 13:00 UTC.
* Combined with `30`, it means 13:30 UTC.
This is useful because PulseWire symbols and sessions can vary, but UTC gives a consistent anchor.
---
### Minute UTC
This is the UTC minute used for candle locking.
Example:
* Hour UTC = `13`
* Minute UTC = `30`
Together, that means:
* Lock to the 13:30 UTC candle.
Use this for precise historical testing.
---
### Auto Previous Session
This controls what happens if today’s target candle has not printed yet.
When turned **On**:
* The indicator automatically uses the most recent previous matching candle.
* This keeps the forecast visible even before today’s target time exists.
When turned **Off**:
* If today’s target candle has not printed, the lock may show no match and fall back.
For most users, leave this **On**.
---
## Bias Logic Inputs
### Bias Threshold %
This controls how strong the bull or bear probability must be before the indicator labels the forecast bullish or bearish.
Example:
* If Bias Threshold is `60`, Bull Probability must be at least 60% before a bullish label can appear.
* If Bear Probability is at least 60%, a bearish label can appear.
Use a lower threshold when:
* You want more frequent bias labels.
* You are okay with weaker directional evidence.
Use a higher threshold when:
* You want stricter signals.
* You only want stronger historical agreement.
Practical range:
* `60%` = balanced.
* `70%+` = more conservative.
* `50–55%` = loose and more signal-heavy.
---
### Minimum Bull/Bear Edge %
This controls how large the gap must be between Bull Probability and Bear Probability.
Example:
* Bull Probability = 65%
* Bear Probability = 35%
* Edge = 30 percentage points
If the minimum edge is `15`, this would qualify.
But:
* Bull Probability = 58%
* Bear Probability = 42%
* Edge = 16 percentage points
This may still fail if Bull Probability is below the Bias Threshold.
This input prevents weak differences from being labeled as strong directional bias.
Use a higher edge when:
* You want cleaner bias labels.
* You want the model to avoid borderline calls.
Use a lower edge when:
* You want more frequent directional bias.
* You accept more uncertainty.
---
## Display Inputs
### Show Forecast Midline
This turns the main forecast line on or off.
Turn it **On** when:
* You want to see the projected average path.
Turn it **Off** when:
* You only want the info box probabilities.
* You want a cleaner chart.
---
### Show Confidence Bands
This turns the upper and lower forecast bands on or off.
Turn it **On** when:
* You want to see the historical range of outcomes.
* You care about uncertainty.
* You want to know whether the forecast is tight or messy.
Turn it **Off** when:
* You only want the central forecast.
* The chart feels too cluttered.
---
### Band Width Multiplier
This controls how wide the bands are.
Higher values make the bands wider.
Lower values make the bands tighter.
Use lower values when:
* You want a cleaner, tighter visual range.
* You want bands closer to the average forecast.
Use higher values when:
* You want to see a broader range of historical outcomes.
* You want a more conservative uncertainty envelope.
Default `1.0` is a good starting point.
---
## Forecast Midline Style Inputs
### Forecast Midline Color
Controls the color of the main projection line.
The default aqua color makes it visually distinct from price candles.
### Forecast Midline Width
Controls how thick the midline is.
Use a thicker line when:
* You want the forecast to stand out.
* You are using a busy chart.
Use a thinner line when:
* You want a cleaner chart.
* You use many overlays.
### Forecast Midline Type
Controls whether the line is:
* Solid.
* Dashed.
* Dotted.
Solid is usually best for the main forecast line.
---
## Upper Band Style Inputs
### Upper Band Color
Controls the color of the upper forecast band.
The default green tone suggests upside range.
### Upper Band Width
Controls how thick the upper band is.
A thin dashed line usually works best because it should be secondary to the midline.
### Upper Band Type
Controls whether the upper band is solid, dashed, or dotted.
Dashed is usually best because it visually communicates “range” rather than “target.”
---
## Lower Band Style Inputs
### Lower Band Color
Controls the color of the lower forecast band.
The default red tone suggests downside range.
### Lower Band Width
Controls how thick the lower band is.
A thin line keeps it useful without dominating the chart.
### Lower Band Type
Controls whether the lower band is solid, dashed, or dotted.
Dashed is usually best for the same reason as the upper band.
---
## Info Box Inputs
### Show Info Box
This turns the dashboard on or off.
Turn it **On** when:
* You want the probabilities and diagnostics visible.
* You are actively evaluating the forecast.
Turn it **Off** when:
* You only want the chart projection.
* You want a cleaner visual layout.
---
### Info Box Position
Controls where the dashboard appears.
Options:
* Top Left.
* Top Right.
* Bottom Left.
* Bottom Right.
Use the position that interferes least with price action on your chart.
---
### Text Size
Controls the dashboard text size.
Use:
* **Tiny** for compact charts.
* **Small** for normal use.
* **Normal** if you want easier reading.
* **Large** for presentations or large monitors.
---
### Background
Controls the info box background color.
A darker background usually works best on most PulseWire chart themes.
### Border
Controls the info box border color.
This helps separate the dashboard from the chart.
### Header Text
Controls the title/header text color.
### Header Background
Controls the top header row background.
This gives the dashboard its polished look.
---
## Info Box Metrics
### Bull Prob %
This shows the weighted percentage of selected historical matches that ended bullish.
Simple meaning:
> Of the similar historical market states, how many tended to move up?
A high number means bullish outcomes dominated the selected historical matches.
---
### Bear Prob %
This shows the weighted percentage of selected historical matches that ended bearish.
Simple meaning:
> Of the similar historical market states, how many tended to move down?
A high number means bearish outcomes dominated the selected historical matches.
---
### Direction Bias
This shows the final label after applying the bias rules.
Possible outputs:
* Bullish.
* Bearish.
* None.
* Weak Data.
* No Matches.
A bullish or bearish label only appears when the probability and edge requirements are met.
---
### Bull/Bear/Flat
This shows how many selected matches ended:
* Bullish.
* Bearish.
* Flat.
Example:
* `18 / 9 / 3`
This means:
* 18 bullish historical outcomes.
* 9 bearish historical outcomes.
* 3 flat historical outcomes.
This gives you a quick look at the underlying distribution.
---
### Match Count
This shows how many historical matches were actually used.
If Pattern Matches is set to `30`, Match Count should usually show `30`.
If it shows less, there may not have been enough valid historical data.
---
### Fit Quality
This tells you how closely the selected historical matches resemble the current market state.
High Fit Quality means:
* The current market environment closely resembles the selected historical examples.
Low Fit Quality means:
* The engine found matches, but they were not very close.
Important:
* Fit Quality is not win rate.
* Fit Quality is not probability.
* Fit Quality is not accuracy.
* It only measures how good the historical comparisons are.
Best interpretation:
* High Fit Quality + strong Bull/Bear Probability = more compelling.
* High Fit Quality + split probabilities = similar markets existed, but outcomes were mixed.
* Low Fit Quality = be cautious.
---
### Model
This shows which Forecast Model is active.
Examples:
* Balanced.
* Conservative.
* Aggressive.
* Trend Following.
* Mean Reversion.
This is useful for screenshots and reviewing past setups.
---
### Anchor
This tells you where the forecast is anchored.
Examples:
* `0 bars · NR` means current forecast using Non-Repaint Mode.
* `50 bars · NR` means historical forecast from 50 bars ago.
* `Locked` means it is anchored to a specific UTC candle.
This helps you know whether you are looking at a current forecast or a historical replay.
---
### Search Depth
This shows the actual number of bars being searched.
It may be lower than your input if the chart does not have enough loaded history.
---
## Best Practical Way to Use It
A clean workflow would be:
* Start with **Balanced** model.
* Keep **Non-Repaint Mode On**.
* Use **Pattern Matches around 30**.
* Use **Search Depth around 1000**.
* Watch **Fit Quality**.
* Watch **Bull/Bear Probability**.
* Treat the forecast line as a scenario path, not a guaranteed prediction.
* Use **Lookback Bars** to test whether the forecast was historically useful.
* Avoid trusting any forecast where the bands are very wide and probabilities are split.
The strongest setup is usually when:
* Fit Quality is high.
* Bull or Bear Probability is clearly dominant.
* The forecast bands are not extremely wide.
* The projection agrees with price structure.
Indicator
Live Clock + Trading Sessions | DST Auto | CountdownA real-time clock, trading session detector, and bar countdown timer — all in one lightweight overlay. Designed for traders who need to track market hours across multiple time zones without switching tabs or doing mental math.
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🕐 WHAT IT DOES
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The indicator displays a compact information panel on your chart with up to two rows:
Row 1 — Clock: GMT: 14:32:07
Row 2 — Countdown: Countdown: 12:44
The label on Row 1 switches automatically based on which mode you choose:
• Timezone mode → shows your selected timezone prefix (e.g. "UTC: 14:32:07")
• Session mode → shows the active trading session name (e.g. "London: 09:32:07")
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📊 TRADING SESSION DETECTION
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When set to Trading Session mode, the indicator automatically detects which Forex / equity session is currently open, using each exchange's local time:
🔵 Sydney — 10:00–19:00 AEST / AEDT
🟠 Asia — 09:00–18:00 JST (Tokyo, no DST)
🔵 London — 08:00–17:00 GMT / BST
🟢 New York — 09:30–17:00 EST / EDT
When two sessions overlap, the label updates to reflect the combined window:
🟡 London/NY — the most liquid window of the trading day
🟡 Asia/London — early European session with Asian carry-over
🟡 Tokyo/Sydney — early Asian open overlap
When all sessions are closed, the panel shows "Off-Hours" in gray so you always know where you stand.
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⏰ AUTOMATIC DAYLIGHT SAVING TIME (DST)
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DST is handled entirely automatically — no manual adjustment, no seasonal settings to change.
The indicator uses IANA timezone identifiers (the same database your operating system uses) so that "8 AM London" always means 8 AM London time, whether the UK is on GMT (winter) or BST (summer). The same applies to New York (EST ↔ EDT) and Sydney (AEST ↔ AEDT). Tokyo has no DST and is always consistent.
You never need to touch a setting when clocks change.
─────────────────────────────────────────
⏱ BAR COUNTDOWN TIMER
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A second row shows the exact time remaining until the current candle closes:
• Short timeframes (< 1 hour): MM:SS → e.g. Countdown: 12:44
• Long timeframes (≥ 1 hour): H:MM:SS → e.g. Countdown: 1:45:10
Works on every timeframe — 1m, 5m, 15m, 1h, 4h, Daily, and beyond. Can be toggled off if you prefer a single-row display.
─────────────────────────────────────────
⚙️ SETTINGS OVERVIEW
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⏰ Clock
• Label Mode — "Timezone" or "Trading Session"
• Timezone — choose from 25 time zones (active in Timezone mode)
• 24-Hour Format — toggle 24h / 12h AM-PM display
• Show Seconds — show or hide the seconds digit
• Show Date — prepend the date (e.g. "03 Jun 2026 | London: 09:32:07")
• Show Countdown — toggle the bar countdown row on or off
📊 Trading Sessions
• Enable / disable each session individually (Sydney, Tokyo, London, New York)
• Disabling a session removes it from detection and overlap logic entirely
🎨 Style
• Position — 8 placements: all four corners, top/bottom center, left/right middle
• Background — color and opacity
• Text size — Tiny / Small / Normal / Large / Huge
• Clock color — used in Timezone mode and for Off-Hours
• Countdown color — independent color for the countdown row
• Per-session colors — assign a distinct color to each session and to overlaps
(defaults: Cyan = Sydney, Orange = Asia, Blue = London,
Green = New York, Yellow = any overlap, Gray = Off-Hours)
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📌 HOW TO USE
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1. Add the indicator to any chart via the Indicators menu.
2. Open Settings (⚙️ icon on the indicator) and choose your Label Mode.
For Timezone mode:
• Pick your local timezone from the Timezone dropdown.
• The clock will always show the current time in that zone.
For Trading Session mode:
• No timezone selection needed — the clock automatically shows the
local time of whatever session is currently open.
• Colors change as sessions open and close, giving you an at-a-glance
view of current market activity.
3. Adjust Position, size, and colors to suit your chart layout.
4. Toggle Show Countdown on or off depending on whether you track bar close timing.
─────────────────────────────────────────
💡 TIPS
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• The London/NY overlap (typically 13:00–17:00 UTC) highlights the highest-
liquidity window of the Forex day — useful for breakout and momentum traders.
• Pair with a clean chart layout: place the panel in a corner that does not
overlap your price action or other indicators.
• The countdown timer updates on each new tick, so it is most precise on
liquid instruments (major Forex pairs, index futures, crypto).
• The date row is useful on higher timeframes (4H, Daily) when you want
to confirm the current session date across time zones.
Indicator
Indicator
Market Sessions + Killzones [Income Statement]A persistent challenge in intraday trading is that price behaviour is not uniform across the 24-hour clock. Volatility, liquidity, and directional bias are heavily concentrated in specific windows tied to the opening and closing of major financial centres.
Market Sessions + Killzones indicator maps those windows directly onto the chart, layers in the structural tools that ICT-based traders use to read them, and combines everything into a single cohesive visual so traders do not need to manage multiple overlapping indicators.
WHY THESE FEATURES ARE COMBINED
Session ranges, killzones, overlap periods, and previous session highs/lows are not independent ideas — they are sequential layers of the same framework. The session range defines the pool of liquidity that formed during a given market period. The previous session high and low represent the edges of that pool (similar to support and resistance) and become magnets for price in the following session. Killzones are the time windows within which institutional order flow is most likely to be active and capable of driving price through those levels. The overlap periods are where two separate liquidity pools interact simultaneously, producing the conditions most likely to generate sharp directional moves.
Combining all four in one indicator preserves the cause-and-effect relationship between them. Displaying sessions without killzones, or killzones without previous session levels, loses the context that makes each layer meaningful.
HOW THE INDICATOR WORKS
Session Boundaries
Each session (Tokyo, London, New York, optional Sydney) is tracked using the exchange's native timezone, not a fixed UTC offset. This matters because major sessions observe daylight saving time on different schedules, and a fixed-offset approach will silently drift by an hour during DST transitions. The script uses Pine's time() function with named timezone strings (Asia/Tokyo, Europe/London, etc.) to handle this automatically.
As each session progresses, the script tracks the running high and low bar-by-bar and extends the boundary lines to the current bar. At session close, the lines are locked in place and faded to indicate a completed session — distinguishing live sessions from historical ones at a glance.
Midpoint and Quartile Lines
Within each session, the script calculates the 50% midpoint and the 25%/75% quartile levels of the live range. These levels are drawn not because they are support/resistance in the classical sense, but because they divide the session's range into statistically meaningful zones. In ICT methodology, the midpoint (sometimes called the equilibrium) is a commonly referenced level for entries and targets. The quartiles indicate whether price is in the upper or lower half of the session's distribution.
Previous Session Highs and Lows
When a new session opens, the script saves the completed session's high and low and draws them forward as dashed lines into the new session. These levels represent the most visible liquidity pools from the prior period — stop-losses from traders who traded that session cluster above and below them. Price frequently targets these levels before establishing a new directional move.
ICT Killzones
Killzones are specific time windows identified in ICT methodology as high-probability trading periods:
• London Killzone: 02:00–05:00 New York time — the pre-London and early London open window, a period of frequent liquidity grabs before the main London trend establishes.
• New York Killzone: 07:00–10:00 New York time — encompasses the NY pre-market and the first 30 minutes of the NY open, the most liquid window of the trading day for USD pairs and US indices.
Each killzone is rendered as a box that expands dynamically with price throughout the window and locks when the window closes. The box captures the exact range of price movement during that period, making it easy to measure killzone expansion and compare it to the current session range.
Overlap Periods
Two overlap windows are detected and highlighted:
• Tokyo + London overlap: the brief window where Asian and European institutional flow intersect.
• London + New York overlap (08:30–12:00 ET approximately): historically the highest-volume period of the trading day for most major pairs. This overlap frequently produces the session's largest directional move or the strongest reversal of an earlier London move.
The overlap boxes expand dynamically with price, making it simple to see how much range was generated during the high-liquidity window versus the rest of the session.
Live Statistics Table
The table in the top-right corner displays the live session high, low, range in points, and range as a percentage of the 14-period ATR. The ATR ratio is the key metric here: it tells you not just how far price has moved, but how that move compares to recent volatility. A session range at 120% ATR suggests an unusually expansive session; one at 40% suggests compression that may precede a breakout.
SETTINGS GUIDE
Swing Length: Not applicable to this indicator.
Show Midpoint / Quartile Lines: Toggle to reduce visual noise on lower timeframes where the chart is already dense.
Show Prev Session H/L: Disable if you only want the current session boundaries and killzones without the historical dashed levels.
Show Overlap Zones: Disable for cleaner charts on assets where overlap volatility is less relevant (e.g. Asian equity CFDs).
Show ICT Killzones: Toggle independently of sessions — useful if you want session ranges as context but only want to trade the killzone windows.
Range as % ATR: Enables the ATR normalisation column in the table.
TIMEFRAME
This indicator is intentionally restricted to timeframes below 1 hour. Session structure and killzones are intraday concepts — applying them to daily or weekly charts produces meaningless output. Recommended: 1m, 3m, 5m, 15m, or 30m.
USAGE NOTES
This indicator provides structural context, not signals. A common workflow is to identify the previous session high or low as a liquidity target, wait for price to enter a killzone, then use a separate entry model (e.g. order block, fair value gap, or market structure shift) to time the trade. The indicator does not generate buy or sell signals on its own. Indicator
Indicator
Indicator
Indicator
Bitcoin Cycle Highs and LowsOVERVIEW
The Bitcoin Cycle Highs and Lows indicator maps out the historical macro market cycle tops and bottoms of Bitcoin, dating back to 2011. In addition to serving as a visual map of historical market phases, the indicator features an algorithmic projection engine. This engine uses various statistical and geometric decay models to forecast the date and price of future macro highs and lows based on the asset's historical behaviour.
This tool is designed for macro-level market analysis, allowing traders to visualise diminishing returns, cycle duration trends, and phase retracements.
CHART ELEMENTS
When applied to a chart, the indicator plots several visual elements:
• Vertical Cycle Markers: Solid vertical lines identify the exact date of historical macro highs (Red) and macro lows (Lime).
• Price & Date Labels: Located at the anchor of each vertical line, detailing the exact recorded date and price (formatted automatically to the chart's active currency).
• Phase Arrows (Dashed Lines): Horizontal dashed lines connecting a low to the subsequent high (Bull Phase) or a high to the subsequent low (Bear Phase).
• Phase Statistics: Floating text labels positioned at the end of each Phase Arrow. These display the duration of the phase in days, the absolute price change, and the percentage move from the previous point.
PREDICTION MODELS
The indicator includes multiple distinct mathematical models for projecting future dates and prices.
Date Predictors:
• Previous bar count: Projects the next date by applying the exact duration of the most recent corresponding cycle.
• Average: Calculates the simple arithmetic average duration of all historical cycles of the same type.
• Weighted average: Averages previous cycle lengths but applies a mathematical recency bias, giving more weight to recent cycles to account for cycle duration stabilisation.
Price Predictors:
• Previous % move: Projects the next target by applying the exact percentage multiplier of the most recent corresponding cycle.
• Average: Projects the target using the geometric mean of all historical cycle multipliers, limiting the skew of extreme outliers.
• Diminishing gains: Analyses the cycle-over-cycle rate of change. It isolates peak-to-peak or trough-to-trough macro moves, calculates the historical decay in those percentage gains, and applies the decayed growth rate to project the next target.
• Fibonacci extension decay: Evaluates swing ratios by measuring the magnitude of a phase relative to the preceding phase (for example, how far a bull market extended past the previous bear market drop). It calculates the historical decay of that extension premium and applies it to the current swing.
SETTINGS AND INPUTS
• Predictions: Determines the number of future cycle highs and lows to project (0 to 9). Set to 0 to disable projections and only view historical data.
• Date predictor: Selects the algorithmic model used to project the X-axis (time) coordinate of future cycle points.
• Price predictor: Selects the algorithmic model used to project the Y-axis (price) coordinate of future cycle points.
• Bear/Bull market arrows: Toggles the visibility of the horizontal dashed lines and their accompanying statistical labels.
• Full height backgrounds: When true, vertical cycle markers extend infinitely across the Y-axis. When false, markers anchor precisely to the price level of the previous cycle phase, creating a stair-step visualisation.
• Ignore 2011 cycle: Excludes the extreme volatility and outliers of the 2011 cycle from the indicator's mathematical averages and trend decay calculations.
• Backtest # lows/highs: A testing feature that temporarily removes the most recent 1 or 2 historical cycle points from the dataset. This allows users to test the prediction models against known outcomes to evaluate their historical accuracy.
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FTA Daily Pro v3FTA Daily Pro v3 — Full Technical Analyzer
A comprehensive daily timeframe indicator combining trend, momentum, volume, and divergence analysis into one clean dashboard.
Features:
- EMA 20 / 50 / 200 — Trend direction and strength
- MACD — Momentum and crossover signals
- RSI (14) — Overbought/Oversold zones with background highlight
- Stochastic K/D — Momentum confirmation
- Relative Volume — Volume strength filter
- ATR % — Volatility filter
- Bull/Bear Divergence — RSI divergence labels on chart
- Scoring System — Bull/Bear score out of 11 points
Dashboard shows real-time status of all indicators in one panel (top right corner).
Alerts available for: Strong Buy, Buy, Strong Sell, Sell, Bullish Divergence, Bearish Divergence.
Best used on Daily timeframe. Works on all symbols — stocks, forex, crypto, commodities.
Note: This indicator is a technical analysis tool only and does not constitute financial advice. Always do your own research before making any trading decisions. Indicator
FUTURA Ultra MTFFUTURA Ultra MTF
An all-in-one overlay indicator built in Pine Script v6, comprising nine feature modules:
- Previous D/W/M Levels: Extending dynamic horizontal lines for prior day, week, and month highs/lows, anchored to the exact candle where each extreme occurred and snapping back when price interacts with them.
- Anchored VWAPs: Daily, weekly, and custom session VWAPs with optional standard deviation bands.
- Day Separators & Labels: Vertical lines at session boundaries with day-of-week labels plotted at the chart bottom.
- Custom Sessions: Shaded session boxes for Asia and NY with live extending high/low level lines that persist as historical references after each session closes, including a fix for RTH chart hidden boundary detection.
- Opening Range: A configurable time-based ORH/ORL box that plots extending levels only during NY regular hours, auto-deactivating at session close.
- HTF Candles: Current-bar candle representations for the 1H, 4H, and 1D timeframes.
- Label Collision Manager: Merges overlapping labels from all modules when levels are within a tick of each other.
- Watermark: A dynamic table displaying a configurable text header appended with the active ticker and timeframe.
- MTF Moving Averages: Three independently configurable moving averages (SMA, EMA, WMA, RMA, VWMA) pulling from any timeframe, with a dynamic gradient cloud fill between MA1 and MA2.
All modules share a unified visibility system with per-timeframe filter options.
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Timeframe DirectionThis indicator automatically marks supply and demand zones across three timeframes — 1H, 4H, and Daily — and shows the trend bias (Buy / Sell / Flat) for each, all on a single chart.
Zone detection (classic method)
Zones are formed using the textbook supply/demand pattern: a small consolidation base (1–3 candles with tight bodies) followed by a strong departure candle measured against ATR. A bullish leg-out creates a green DEMAND zone; a bearish leg-out creates a red SUPPLY zone. Each zone is labeled with its source timeframe (1H, 4H, 1D), so you can instantly see which zones carry more weight.
Multi-timeframe trend bias
A corner table reads the EMA relationship (fast vs slow) on each timeframe and reports the directional bias as BUY, SELL, or FLAT — giving you 1H, 4H, and Daily context at a glance for top-down alignment.
Key features
Classic consolidation-plus-impulse zone logic, not just raw pivots
Simultaneous 1H, 4H, and Daily zones, each labeled
EMA-slope trend bias table for all three timeframes
Optional automatic removal of zones once price mitigates (returns into) them
Adjustable base-candle sensitivity, ATR leg multiple, EMA lengths, colors, and zone extension
Built-in alerts for 1H bias flips to Buy or Sell
How to use it
Look for trade setups where the lower-timeframe price reaches a higher-timeframe zone while the trend bias agrees — for example, price tapping a 4H/Daily demand zone while the 1H bias turns BUY. Tune the base body % and ATR multiple to match the volatility of your instrument.
This tool is for educational and analytical purposes only and is not financial advice. Always combine it with your own risk management. Indicator
