Polynomial/Linear Regression Volume Profile [BigBeluga]Polynomial/Linear Regression Volume Profile is a state-of-the-art charting framework that blends advanced statistical modeling with localized volume distribution analysis. By evolving past traditional, static horizontal volume profiles, this indicator dynamically curves the volume profile matrix around mathematical trend baselines, giving you a hyper-localized view of value zones, support, and resistance across the trend’s lifecycle.
Equipped with a switchable Ordinary Least Squares (OLS) calculation engine, traders can analyze price distribution relative to a straight path (Linear) or an adaptive structural arc (Polynomial).
🔵 RECURSIVE REGRESSION BASELINES
Adaptive Curve Fitting Engine: Choose between a straight-line trend tracking framework (Linear) or an advanced second-degree curved path (Polynomial). This non-linear baseline curves dynamically to track real institutional momentum shifts, avoiding the lag or rigid delays typical of standard moving averages.
Symmetric Grid Segmentation: The indicator slices the regression space into dynamic parallel layers above and below the center line. These tracking cells act as a structural map of the trend, automatically expanding or contracting based on the mathematical bounds of the lookback period.
Standard Deviation Wave Bands: Plots dedicated tracking envelopes at 1, 2, and 3 Standard Deviations. This maps statistical extremes instantly, highlighting key valuation zones directly on the chart.
🔵 CURVED ORDER FLOW PROFILE
Dynamic Trend-Anchored Volume Profile: Traditional volume profiles are anchored strictly to vertical price grids. This framework bends the profile horizontally along the path of the regression curve. This ensures volume is localized directly relative to the trend's value matrix rather than arbitrary static prices.
Dynamic Point of Control Matrix (POC): The tool calculates cumulative transaction weights across each regression row. The absolute highest volume cluster is highlighted across the entire lookback window as a vivid Point of Control (POC) baseline, serving as a primary target magnet for price discovery.
Gradient Density Mapping: Volume bins are colored with a responsive heat-map gradient. Low-volume zones fade into deep baseline tones, while high-volume institutional interest areas light up dynamically, reflecting heavy positional accumulation.
🔵 DATA INTERFACE & CONTROLS
Regression Matrix Dashboard (Top-Right): A neat information center providing live metrics, including current trend direction (Bullish/Bearish), the numerical value of the POC level, the exact transactional volume resting at that key node, and structural $\pm3\text{ SD}$ channel limits.
Precision Profile Scaling: Adjust the profile width parameters to limit or extend how far back profile bins stretch across your chart space to prevent layout clutter.
Complete Style Personalization: Individualized visual controls allow you to switch line architectures (Solid, Dashed, Dotted) across baselines, boundaries, and POC paths.
🔵 STRATEGIC APPLICATION
Trading the Trend Value Nodes: Treat the dynamic POC line as a trend anchor. In a strong bullish trend, pullback entries occurring at a highly concentrated, heat-mapped POC node represent low-risk, high-probability entry criteria.
Mean Reversion at Statistical Boundaries: When price extends completely out to the dynamic outer channel limit and volume density in that outer bin thins out, look for a swift mean-reversion snapback toward the baseline.
Volume Profile Breakouts: Low-volume zones (gaps in the curved profile) indicate price levels that the market skipped quickly due to high momentum. If price breaks past a thick volume node into a low-volume zone, it is likely to sprint quickly toward the next major heat-mapped node.
Structural Regime Tracking: Use the upper-right dashboard to instantly evaluate macro status. If the matrix shifts between Bullish and Bearish while price hovers consistently near a high-volume POC, it implies heavy institutional distribution is occurring before the next major expansion.
Polynomial/Linear Regression Volume Profile redefines volume structure. By wrapping the laws of order flow directly around mathematical curves, it gives trend traders an elite perspective to trade with precision, statistical logic, and institutional order flow visibility. Indicator
Orion Regression Field [JOAT]Orion Regression Field
Introduction
Orion Regression Field builds a weighted regression valuation field with standard error bands, curvature options, compression detection, and reprice signals.
This open-source indicator is designed as a context tool, not a standalone trading system. It focuses on explaining the current market state with restrained visuals and confirmed-bar logic where signals are used.
Core Concepts
1. Weighted Regression
Recent bars can receive more influence while still preserving a full model window.
2. Standard Error Bands
Inner and outer bands show statistical distance from the modeled path.
3. Curvature and Confidence
Optional curvature and R2-style confidence control when the field is considered reliable.
4. Pinch and Reprice
Compression and outer-band reactions create filtered reprice events.
mid = weightedRegression(close, len); band = standardError * multiplier
Features
Weighted regression midline
Inner and outer SEE bands
Optional curvature
Pinch shading and projection field
Filtered reprice labels
Input Parameters
Regression window and projection bars
Curvature toggle and weight floor
Minimum R2 confidence
Inner and outer band multipliers
Pinch ratio and cooldown
How to Use This Script
Use the field as statistical fair-value context. Outer band interaction means stretch, not automatic reversal.
Limitations
The script uses historical OHLCV data and cannot know future prices.
Signals and states can be late during fast reversals because confirmed-bar logic is used to reduce repainting.
Model outputs should be interpreted with market context, risk controls, and independent analysis.
No visual state should be treated as a certain trade outcome.
Originality Statement
Orion is original in combining weighted regression, curvature, standard error fields, compression context, and filtered reprice logic.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any financial instrument. All calculations are derived from historical market data and may produce inaccurate readings in some market conditions. No indicator can predict future market behavior. Use proper risk management and independent judgment.
-Made with passion by jackofalltrades
Indicator
Volume Participation Curve [JOAT]Volume Participation Curve
Introduction
VPC Volume Participation Curve is an open-source volume seasonality indicator that compares current volume against historical participation for the same time bucket. It helps answer a simple but important question: is current activity meaningful compared with what usually happens at this time?
Instead of treating all volume bars equally, VPC builds recurring buckets by minute, hour, day, or month, then compares live volume against the expected bucket value. It also tracks session pace so traders can see whether the session is leading or lagging expected participation.
Core Concepts
1. Time-Bucketed Expected Volume
The indicator builds historical volume samples by time bucket. Auto mode chooses practical buckets based on the chart timeframe.
2. Median or Mean Summary
Expected volume can be calculated by median or mean. Median is the default because it is more robust against abnormal spikes.
3. Participation Ratio
The main curve is current smoothed volume divided by expected volume. A value above 1.0 means current activity is above expectation.
4. Session Pace
Session cumulative volume is compared with cumulative expected volume to determine whether the whole session is leading or lagging.
5. Regime Bands
Expansion and compression thresholds are shown as clean bands around the 1.0 baseline.
Features
Expected volume engine: Learns recurring volume behavior from historical buckets
Participation curve: Displays current volume relative to expected activity
Session pace curve: Shows whether cumulative session activity is ahead or behind
Expansion and compression bands: Identifies above-expected or below-expected participation
Dark-mode fills: Uses restrained green/red/neutral blends
Top-right dashboard: Shows bucket, participation, pace, surprise, growth, state, and sample count
Confirmed alerts: Includes expansion, compression, pace lead, and pace lag alerts
Input Parameters
Seasonality:
Historical Samples per Bucket
Bucket Mode: Auto, Minute, Hour, Day, or Month
Expected Value: Median or Mean
Curve:
Volume Smoothing
Session Pace Window
Visual:
Show Regime Bands
Show Pace Curve
Color Background
How to Use
Step 1: Read the participation curve relative to the 1.0 baseline.
Step 2: Treat readings above 1.2 as expansion context and readings below 0.8 as compression context.
Step 3: Confirm whether session pace agrees with the current bar's participation.
Step 4: Use the output as a participation filter for breakout, continuation, or reversal tools.
Limitations
New symbols or sparse histories may need time to build useful bucket samples
Unusual news or event-driven sessions can distort expected-volume comparisons
Volume reporting differs by asset class and exchange
This indicator does not predict direction; it measures participation context
Originality Statement
VPC is an original JOAT volume model combining time-bucketed expected volume, session pace, expansion/compression bands, and confirmed alerts in a Pine Script v6 pane indicator.
Disclaimer
This script is for educational and informational purposes only. It is not financial advice and does not guarantee future results. Trading involves risk, and users should apply their own risk management.
Made with passion by jackofalltrades
Indicator
OverUnder Yield Spread🗺️ OverUnder is a structural regime visualizer , engineered to diagnose the shape, tone, and trajectory of the yield curve. Rather than signaling trades directly, it informs traders of the world they’re operating in. Yield curve steepening or flattening, normalizing or inverting — each regime reflects a macro pressure zone that impacts duration demand, liquidity conditions, and systemic risk appetite. OverUnder abstracts that complexity into a color-coded compression map, helping traders orient themselves before making risk decisions. Whether you’re in bonds, currencies, crypto, or equities, the regime matters — and OverUnder makes it visible.
🧠 Core Logic
Built to show the slope and intent of a selected rate pair, the OverUnder Yield Spread defaults to 🇺🇸US10Y-US2Y, but can just as easily compare global sovereign curves or even dislocated monetary systems. This value is continuously monitored and passed through a debounce filter to determine whether the curve is:
• Inverted, or
• Steepening
If the curve is flattening below zero: the world is bracing for contraction. Policy lags. Risk appetite deteriorates. Duration gets bid, but only as protection. Stocks and speculative assets suffer, regardless of positioning.
📍 Curve Regimes in Bull and Bear Contexts
• Flattening occurs when the short and long ends compress . In a bull regime, flattening may reflect long-end demand or fading growth expectations. In a bear regime, flattening often precedes or confirms central bank tightening.
• Steepening indicates expanding spread . In a bull context, this may signal healthy risk appetite or early expansion. In a bear or crisis context, it may reflect aggressive front-end cuts and dislocation between short- and long-term expectations.
• If the curve is steepening above zero: the world is rotating into early expansion. Risk assets behave constructively. Bond traders position for normalization. Equities and crypto begin trending higher on rising forward expectations.
🖐️ Dynamically Colored Spread Line Reflects 1 of 4 Regime States
• 🟢 Normal / Steepening — early expansion or reflation
• 🔵 Normal / Flattening — late-cycle or neutral slowdown
• 🟠 Inverted / Steepening — policy reversal or soft landing attempt
• 🔴 Inverted / Flattening — hard contraction, credit stress, policy lag
🍋 The Lemon Label
At every bar, an anchored label floats directly on the spread line. It displays the active regime (in plain English) and the precise spread in percent (or basis points, depending on resolution). Colored lemon yellow, neither green nor red, the label is always legible — a design choice to de-emphasize bias and center the data .
🎨 Fill Zones
These bands offer spatial, persistent views of macro compression or inversion depth.
• Blue fill appears above the zero line in normal (non-inverted) conditions
• Red fill appears below the zero line during inversion
🧪 Sample Reading: 1W chart of TLT
OverUnder reveals a multi-year arc of structural inversion and regime transition. From mid-2021 through late 2023, the spread remains decisively inverted, signaling persistent flattening and credit stress as bond prices trended sharply lower. This prolonged inversion aligns with a high-volatility phase in TLT, marked by lower highs and an accelerating downtrend, confirming policy lag and macro tightening conditions.
As of early 2025, the spread has crossed back above the zero baseline into a “Normal / Steepening” regime (annotated at +0.56%), suggesting a macro inflection point. Price action remains subdued, but the shift in yield structure may foreshadow a change in trend context — particularly if follow-through in steepening persists.
🎭 Different Traders Respond Differently:
• Bond traders monitor slope change to anticipate policy pivots or recession signals.
• Equity traders use regime shifts to time rotations, from growth into defense, or from contraction into reflation.
• Currency traders interpret curve steepening as yield compression or divergence depending on region.
• Crypto traders treat inversion as a liquidity vacuum — and steepening as an early-phase risk unlock.
🛡️ Can It Compare Different Bond Markets?
Yes — with caveats. The indicator can be used to compare distinct sovereign yield instruments, for example:
• 🇫🇷FR10Y vs 🇩🇪DE10Y - France vs Germany
• 🇯🇵JP10Y vs 🇺🇸US10Y - BoJ vs Fed policy curves
However:
🙈 This no longer visualizes the domestic yield curve, but rather the differential between rate expectations across regions
🙉 The interpretation of “inversion” changes — it reflects spread compression across nations , not within a domestic yield structure
🙊 Color regimes should then be viewed as relative rate positioning , not absolute curve health
🙋🏻 Example: OverUnder compares French vs German 10Y yields
1. 🇫🇷 Change the long-duration ticker to FR10Y
2. 🇩🇪 Set the short-duration ticker to DE10Y
3. 🤔 Interpret the result as: “How much higher is France’s long-term borrowing cost vs Germany’s?”
You’ll see steepening when the spread rises (France decoupling), flattening when the spread compresses (convergence), and inversions when Germany yields rise above France’s — historically rare and meaningful.
🧐 Suggested Use
OverUnder is not a signal engine — it’s a context map. Its value comes from situating any trade idea within the prevailing yield regime. Use it before entries, not after them.
• On the 1W timeframe, OverUnder excels as a macro overlay. Yield regime shifts unfold over quarters, not days. Weekly structure smooths out rate volatility and reveals the true curvature of policy response and liquidity pressure. Use this view to orient your portfolio, define directional bias, or confirm long-duration trend turns in assets like TLT, SPX, or BTC.
• On the 1D timeframe, the indicator becomes tactically useful — especially when aligning breakout setups or trend continuations with steepening or flattening transitions. Daily views can also identify early-stage regime cracks that may not yet be visible on the weekly.
• Avoid sub-daily use unless you’re anchoring a thesis already built on higher timeframe structure. The yield curve is a macro construct — it doesn’t oscillate cleanly at intraday speeds. Shorter views may offer clarity during event-driven spikes (like FOMC reactions), but they do not replace weekly context.
Ultimately, OverUnder helps you decide: What kind of world am I trading in? Use it to confirm macro context, avoid fighting the curve, and lean into trades aligned with the broader pressure regime.
Indicator
Birdies [LuxAlgo]The Birdies indicator uses a unique technique to provide support/resistance curves based on a circle connecting the last swing high/low.
A specific, customizable part of this circle acts as a curve of interest, which can trigger visual breakout signals.
🔶 USAGE
The script projects a bird-like pattern when a valid Swing point is found. Multiple customization options are included.
🔹 Trend & Support/Resistance Tool
The color fill patterns and the wing boundaries can give insights into the current trend direction as well as serve as potential support/resistance areas.
In the example above, "Birdies" coincide with pullback and support/resistance zones.
🔹 Swing Length & Buffer
Besides the "Swing Length", with higher values returning longer-term Swing Levels, the script's behavior can be fine-tuned with filters ("Settings" - "Validation").
🔹 Validation
To minimize clutter, three filters are included:
Minimum X-Distance: The minimum amount of bars between subsequent Swings
Minimum Y-Distance: The minimum amount of bars between subsequent Swings
Buffer (Multiple of ATR)
The "Minimum X/Y-Distance" creates a zone where a new Swing is considered invalid. Only when the Swing is out of the zone, can it be considered valid.
In other words, in the example above, a Swing High can only be valid when enough bars/time have passed, and the difference between the last Swing and the previous is more than the ATR multiplied by the "Minimum Y-Distance" factor.
The "Buffer" creates a line above/below the "Birdy", derived from the measured ATR at the conception of the "Birdy" multiplied with a factor ("Buffer").
When the closing price crosses the "Birdy", it must also surpass this buffer line to produce a valid signal, lowering the risk of clutter as a result.
🔶 DETAILS
Birdies are derived from a circle that connects two Swing points. The left-wing curve originates from the most recent "Swing point" to the last value on the circle before crossing its midline. The mirror image of the left wing creates the right wing.
Enabling "Origine" will draw a line from the last Swing to the first.
🔹 Style
The publication includes a style setting with four options.
The first, "Birdy," shows a bird-like shape derived from a circle connecting the last Swing High and Swing Low.
The second option holds everything from the first option but connects both wingtips, providing potential horizontal levels of interest.
When setting "Birdy" to "None", the visual breakout signals will not defer from previous settings, but the focus is shifted towards the fill color, which can help detect potential trend shift.
A fourth setting, "Left Wing", will only show the left part of the "Birdy" pattern, removing the right part from the equation. This will change the visual breakout signals, providing alternative signals.
🔶 SETTINGS
Swing Length: The period used for swing detection, with higher values returning longer-term Swing Levels.
🔹 Validation
Minimum X-Distance: The minimum amount of bars between subsequent Swings
Minimum Y-Distance: The minimum amount of bars between subsequent Swings
Buffer (Multiple of ATR)
🔹 Style
Bullish Patterns: Enable / color
Bearish Patterns: Enable / color
Buffer Zone: Show / Color
Color Fill: Show color fill between two Birdies (if available)
Origine: Show the line between both Swing Points
🔹 Calculation
Calculated Bars: Allows the usage of fewer bars for performance/speed improvement
Indicator
Indicator
Normal Distribution CurveThis Normal Distribution Curve is designed to overlay a simple normal distribution curve on top of any PulseWire indicator. This curve represents a probability distribution for a given dataset and can be used to gain insights into the likelihood of various data levels occurring within a specified range, providing traders and investors with a clear visualization of the distribution of values within a specific dataset. With the only inputs being the variable source and plot colour, I think this is by far the simplest and most intuitive iteration of any statistical analysis based indicator I've seen here!
Traders can quickly assess how data clusters around the mean in a bell curve and easily see the percentile frequency of the data; or perhaps with both and upper and lower peaks identify likely periods of upcoming volatility or mean reversion. Facilitating the identification of outliers was my main purpose when creating this tool, I believed fixed values for upper/lower bounds within most indicators are too static and do not dynamically fit the vastly different movements of all assets and timeframes - and being able to easily understand the spread of information simplifies the process of identifying key regions to take action.
The curve's tails, representing the extreme percentiles, can help identify outliers and potential areas of price reversal or trend acceleration. For example using the RSI which typically has static levels of 70 and 30, which will be breached considerably more on a less liquid or more volatile asset and therefore reduce the actionable effectiveness of the indicator, likewise for an asset with little to no directional volatility failing to ever reach this overbought/oversold areas. It makes considerably more sense to look for the top/bottom 5% or 10% levels of outlying data which are automatically calculated with this indicator, and may be a noticeable distance from the 70 and 30 values, as regions to be observing for your investing.
This normal distribution curve employs percentile linear interpolation to calculate the distribution. This interpolation technique considers the nearest data points and calculates the price values between them. This process ensures a smooth curve that accurately represents the probability distribution, even for percentiles not directly present in the original dataset; and applicable to any asset regardless of timeframe. The lookback period is set to a value of 5000 which should ensure ample data is taken into calculation and consideration without surpassing any PulseWire constraints and limitations, for datasets smaller than this the indicator will adjust the length to just include all data. The labels providing the percentile and average levels can also be removed in the style tab if preferred.
Additionally, as an unplanned benefit is its applicability to the underlying price data as well as any derived indicators. Turning it into something comparable to a volume profile indicator but based on the time an assets price was within a specific range as opposed to the volume. This can therefore be used as a tool for identifying potential support and resistance zones, as well as areas that mark market inefficiencies as price rapidly accelerated through. This may then give a cleaner outlook as it eliminates the potential drawbacks of volume based profiles that maybe don't collate all exchange data or are misrepresented due to large unforeseen increases/decreases underlying capital inflows/outflows.
Thanks to @ALifeToMake, @Bjorgum, vgladkov on stackoverflow (and possibly some chatGPT!) for all the assistance in bringing this indicator to life. I really hope every user can find some use from this and help bring a unique and data driven perspective to their decision making. And make sure to please share any original implementaions of this tool too! If you've managed to apply this to the average price change once you've entered your position to better manage your trade management, or maybe overlaying on an implied volatility indicator to identify potential options arbitrage opportunities; let me know! And of course if anyone has any issues, questions, queries or requests please feel free to reach out! Thanks and enjoy. Indicator
Branch CurveLibrary "branch"
Generates a branch made of segments with a starting angle
and a turning angle for each segment. The branch is generated from a starting point
and a number of nodes to generate. The length of each segment and angle of each segment
can be adjusted. The branch can be generated in 2D or 3D, render as you wish.
method branch(origin, nodes, segment_length, segment_growth, angle_start, angle_turn)
# Branch Generation.
- `origin`: CommonTypesMath.Vector3 - The starting point of the branch. If the z value is not zero, it will be used as the starting angle.
- `nodes`: int - The number of nodes to generate.
- `segment_length`: float - The length of each segment.
- `segment_growth`: float - The growth of each segment. 0 = no growth, 100 = double the length of the previous segment.
- `angle_start`: float - The starting angle of the branch in degrees.
- `angle_turn`: float - The turning angle of each segment in degrees.
Namespace types: CommonTypesMath.Vector3
Parameters:
origin (Vector3 type from RicardoSantos/CommonTypesMath/1) : The starting point of the branch. If the z value is not zero, it will be used as the starting angle.
nodes (int) : The number of nodes to generate.
segment_length (float) : The length of each segment.
segment_growth (float) : The growth of each segment. 0 = no growth, 100 = double the length of the previous segment.
angle_start (float) : The starting angle of the branch in degrees.
angle_turn (float) : The turning angle of each segment in degrees.
@return segments The list of segments that make up the branch. Library
Indicator
TurntLibraryLibrary "TurntLibrary"
Collection of functions created for simplification/easy referencing. Includes variations of moving averages, length value oscillators, and a few other simple functions based upon HH/LL values.
ma(source, length, type)
Apply a moving average to a float value
Parameters:
source : Value to be used
length : Number of bars to include in calculation
type : Moving average type to use ("SMA","EMA","RMA","WMA","VWAP","SWMA","LRC")
Returns: Smoothed value of initial float value
curve(src, len, lb1, lb2)
Exaggerates curves of a float value designed for use as an exit signal.
Parameters:
src : Initial value to curve
len : Number of bars to include in calculation
lb1 : (Default = 1) First lookback length
lb2 : (Default = 2) Second lookback length
Returns: Curved Average
fragma(src, len, space, str)
Average of a moving average and the previous value of the moving average
Parameters:
src : Initial float value to use
len : Number of bars to include in calculation
space : Lookback integer for second half of average
str : Moving average type to use ("SMA","EMA","RMA","WMA","VWAP","SWMA","LRC")
Returns: Fragmented Average
maxmin(x, y)
Difference of 2 float values, subtracting the lowest from the highest
Parameters:
x : Value 1
y : Value 2
Returns: The +Difference between 2 float values
oscLen(val, type)
Variable Length using a oscillator value and a corresponding slope shape ("Incline",Decline","Peak","Trough")
Parameters:
val : Oscillator Value to use
type : Slope of length curve ("Incline",Decline","Peak","Trough")
Returns: Variable Length Integer
hlAverage(val, smooth, max, min, type, include)
Average of HH,LL with variable lengths based on the slope shape ("Incline","Decline","Trough") value relative to highest and lowest
Parameters:
val : Source Value to use
smooth
max
min
type
include : Add "val" to the averaging process, instead of more weight to highest or lowest value
Returns: Variable Length Average of Highest Lowest "val"
pct(val)
Convert a positive float / price to a percentage of it's highest value on record
Parameters:
val : Value To convert to a percentage of it's highest value ever
Returns: Percentage
hlrange(x, len)
Difference between Highest High and Lowest Low of float value
Parameters:
x : Value to use in calculation
len : Number of bars to include in calculation
Returns: Difference
midpoint(x, len, smooth)
The average value of the float's Highest High and Lowest Low in a number of bars
Parameters:
x : Value to use in calculation
len
smooth : (Default=na) Optional smoothing type to use ("SMA","EMA","RMA","WMA","VWAP","SWMA","LRC")
Returns: Midpoint Library
Oscillating Length Moving Averages***CREDIT TO PulseWire's TA Library*** (), Attempted to use "import PulseWire/ta/4" to import the library, but for whatever reason
some of the functions failed to work, while others had no issue, so I opted to just copy paste what I wanted to use.
This moving average uses an oscillator to influence the length used during calculation. Extremely customizable/tunable with ability to change Max and Min length values, length multiplier, length multiple,4 different settings ,( Decline , <>Peak, >Decline , <>Peak, > Indicator
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Indicator
Multi Yield CurveAn inversion between the 2 year and 10 year US treasury yield generally means a recession within 2 years. But the yield curve has more to it than that. This script helps analysis of the current and past yield curve (not limited to US treasury) and is very configurable.
"A yield curve is a line that plots yields (interest rates) of bonds having equal credit quality but differing maturity dates. The slope of the yield curve gives an idea of future interest rate changes and economic activity." (Investopedia)
When the slope is upward (longer maturity bonds have a higher interest rate than shorter maturity bonds), it generally means the economy is doing well and is expanding. When the slope is downward it generally means that there is more downside risk in the future.
The more inverted the curve is, and the more the inversion moves to the front, the more market participants are hedging against downside risk in the future.
The script draws up to 4 moments of a yield curve, which makes it easy to compare the current yield curve with past yield curves. It also draws lines in red when that part of the curve is inverted.
The script draws the lines with proper length between maturity (which most scripts do not) in order to make it more representative of the real maturity duration. The width cannot be scaled because PulseWire does not allow drawing based on pixels.
This script is the only free script at time of writing with proper lengths, showing multiple yield curves, and being able to show yield curves other than the US treasury.
█ CONFIGURATION
(The following can be configured by clicking "Settings" when the script is added to a chart)
By default the script is configured to show the US treasury (government bond) yields of all maturities, but it can be configured for any yield curve.
A ticker represents yield data for a specific maturity of a bond.
To configure different tickers, go to the "TICKERS" section. Tickers in this section must be ordered from low maturity to high maturity.
• Enable: draw the ticker on the chart.
• Ticker: ticker symbol on PulseWire to fetch data for.
• Months: amount of months of bond maturity the ticker represents.
To configure general settings, go to the "GENERAL" section.
• Period: used for calculating how far back to look for data for past yield curve lines. See "Times back" further in this description for more info.
• Min spacing: minimum amount of spacing between labels. Depending on the size of the screen, value labels can overlap. This setting sets how much empty space there must be between labels.
• Value format: how the value at that part of the line should be written on the label. For example, 0.000 means the value will have 3 digits precision.
To configure line settings per yield curve, each has its own "LINE" section with the line number after it.
• Enable: whether to enable drawing of this line.
• Times back: how many times period to go back in time. When period is D, and times value is 2, the line will be of data from 2 days ago.
• Color: color of the line when not inverted.
• Style: style of the line. Possible values: sol, dsh, dot
• Inversion color: color of the line when the curve inverses between the two maturities at that part of the curve.
• Thickness: thickness of the line in pixels.
• Labels: whether to draw value labels above the line. By default, this is only enabled for the first line.
• Label text color: text color of value label.
• Label background color: background color of value label.
To configure the durations axis at the bottom of the chart, go to the "DURATIONS" section.
• Durations: whether to show maturity term duration labels below the chart.
• Offset: amount to offset durations label to be below chart.
█ MISC
Script originally inspired by the US Treasury Yield Curve script by @longfiat but has been completely rewritten and changed. Indicator
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Strategy
Indicator
Bitcoin Logarithmic Growth CurvesThis plots logarithmic curves fitted to major Bitcoin bear market tops & bottoms. Top line is fitted to bull tops, bottom line is fitted to lower areas of the logarithmic price trend (which is not always the same as bear market bottoms). Middle line is the median of the top & bottom, and the faded solid lines are fibonacci levels in between.
Inspired by & based on a Medium post by Harold Christopher Burger, which shows how linear Bitcoin's long-term price growth is when plotted on a double-log chart (log scaling on the price AND time axis).
These curves will only make sense for tickers representing Bitcoin vs. USD (such as BITSTAMP:BTCUSD, BITMEX:XBTUSD, BLX index). Plotting on other assets will probably end up with lines that shoot off into space without any relationship to the underlying price action.
The upper, middle & lower curves can be projected into the future, which can be turned on or off in the indicator settings. The fibonacci levels can also be switched on/off. And the upper & lower curve intercepts & slopes can be tweaked.
I'm releasing this open-source, if you end up making something cool based off of this code, I don't need attribution but please hit me up on here or on twitter (same username) so I can check out what ya made. Thanks, hope y'all enjoy it. Indicator
Price-Curve ChannelIntroduction
Although many will use lines in order to make support and resistances, others might use curves, this is logical since trends are not always linear. Therefore it was also important to take this into consideration, and when i published the price-line channel indicator, i already started a curved version of it. Therefore i propose this new indicator based on the recursive bands framework that allow to return curved support and resistances. The benefits of this indicator are : a totally stable approach, user friendly, and extremities able to converge faster toward the price.
The Indicator
The indicator is way faster than the price-line channel one, this is due to the fast convergence toward the price of the extremities. Length control the reactivity of the indicator, while mult is more related to the rate of convergence, values of mult lower than 1 will make the curve converge slower,
mult = .5
Higher values of mult will make the extremities converge faster toward the price.
mult = 2
Unlike the price-line channel indicator this one is directly "readjusted", this is due to the fact that the extremities are no longer linear, of course a "perfectly" curved version could come in an update, but for the moment it wasn't really a necessity.
Comparison With Price-Line
The fact that the extremities converge faster toward the price allow to possibly capture more tops/bottoms/retracements. However the extremities of both indicator have the same behavior regarding their accuracy, for example the upper extremity have a higher chance to detect a retracement when on a downtrend, while the lower extremity have higher chance to detect a retracement while on a up-trend.
On The Indicator Construction
The recursive bands framework is the core of the indicator, it is important to use it. The curved effect is given by multiplying the correction factor by the barssince function, therefore the correction factor is no longer constant which in return allow for a non linear output.
The size is divided by the square of length in order to keep a certain logic between the output and the length period.
Conclusion
The recursive bands framework prove again to be quite interesting, lot of indicators can be made using it, i only posted a fraction of what can be done with it, which make the recursive bands indicator one of the best indicators i ever made in my opinion.
The proposed indicator is stable, and don't require nightmarish manipulations (unlike the linear channels indicator), its ability to detect possible support and resistances points, although subjective, remain a feature of the indicator. The use of recursion make the indicator efficient. I hope the indicator find some use in the community.
Thanks for reading !
Linear version.
Note
Respect the house rules, always request permission before publishing open source code. This is an original work, requesting permission is the least you can do.
I apologize for any grammatical/orthographic error in this post.
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