FluxPulse Beacon## FluxPulse Beacon
FluxPulse Beacon applies a microstructure lens to every bar, combining directional thrust, realized volatility, and multi-timeframe liquidity checks to decide whether the tape is being pushed by real sponsorship or just noise. The oscillator's color-coded columns and adaptive burst thresholds transform complex flow dynamics into a single actionable flux score for futures and equities traders.
HOW IT WORKS
Momentum Extraction – Price differentials over a configurable pulse distance are smoothed using exponential moving averages to isolate directional thrust without reacting to single prints.
Volatility + Liquidity Normalization – The momentum stream is divided by realized volatility and multiplied by both local and higher-timeframe EMA volume ratios, ensuring pulses only appear when volatility and liquidity align.
Adaptive Thresholding – A volatility-derived standard deviation of flux is blended with the base threshold so bursts scale automatically between low-volatility and high-volatility market conditions.
Divergence Engine – Linear regression slopes compare price vs. flux to tag bullish/bearish divergences, highlighting stealth accumulation or distribution zones.
HOW TO USE IT
Continuation Entries : Go with the trend when histogram bars stay above the adaptive threshold, the signal line confirms, and trend bias agrees—this is where liquidity-backed follow-through lives.
Fade Plays : Watch for divergence alerts and shrinking compression values; when flux prints below zero yet price grinds higher, hidden selling pressure often precedes rollovers.
Session Filter : Compression percentage in the diagnostics table instantly tells you whether to trade thin overnight sessions—low compression means stand down.
VISUAL FEATURES
Dynamic background heat maps flux magnitude, while threshold lines provide a quick read on whether a pulse is statistically significant.
Diagnostics table displays live flux, signal, adaptive threshold, and compression for quick reference.
Alert-first workflow: The surface is intentionally clean—bursts and divergences are delivered via alerts instead of on-chart clutter.
PARAMETERS
Trend EMA Length (default: 34): Defines the macro bias anchor; increase for higher-timeframe confirmation.
Pulse Distance (default: 8): Controls how sensitive momentum extraction becomes.
Volatility Window (default: 21): Sample window for realized volatility normalization.
Liquidity Window (default: 55): Volume smoothing window that proxies liquidity expansion.
Liquidity Reference TF (default: 60): Select a higher timeframe to cross-check whether current volume matches institutional flows.
Adaptive Threshold (default: enabled): Disable for fixed thresholds on slower markets; enable for high-volatility assets.
Base Burst Threshold (default: 1.25): Minimum flux magnitude that qualifies as an actionable pulse.
ALERTS
The indicator includes four alert conditions:
Bull Burst: Detects upside liquidity pulses
Bear Burst: Detects downside liquidity pulses
Bull Divergence: Flags bullish delta divergence
Bear Divergence: Flags bearish delta divergence
LIMITATIONS
This indicator is designed for liquid futures and equity markets. Performance may degrade in low-volume or highly illiquid instruments. The adaptive threshold system works best on timeframes where sufficient volatility history exists (typically 15-minute charts and above). Divergence signals are probabilistic and should be confirmed with price action.
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## RangeLattice Mapper
RangeLattice Mapper constructs a higher-timeframe scaffolding on any intraday chart, locking in structural highs/lows, mid/quarter grids, VWAP confluence, and live acceptance/break analytics. It provides a non-repainting overlay that turns range management into a disciplined process.
HOW IT WORKS
Structure Harvesting – Using request.security() , the script samples highs/lows from a user-selected timeframe (default 240 minutes) over a configurable lookback to establish the dominant range.
Grid Construction – Midpoint and quarter levels are derived mathematically, mirroring how institutional traders map distribution/accumulation zones.
Acceptance Detection – Consecutive closes inside the range flip an acceptance flag and darken the cloud, signaling balanced auction conditions.
Break Confirmation – Multi-bar closes outside the structure raise break labels and alerts, filtering the countless fake-outs that plague breakout traders.
VWAP Fan Overlay – Session VWAP plus ATR-based bands provide a live measure of flow centering relative to the lattice.
HOW TO USE IT
Range Plays : Fade taps of the outer rails only when acceptance is active and VWAP sits inside the grid—this is where mean-reversion works best.
Breakout Plays : Wait for confirmed break labels before entering expansion trades; the dashboard's Width/ATR metric tells you if the expansion has enough fuel.
Market Prep : Carry the same lattice from pre-market into regular trading hours by keeping the structure timeframe fixed; alerts keep you notified even when managing multiple tickers.
VISUAL FEATURES
Range Tap and Mid Pivot markers provide a tape-reading breadcrumb trail for journaling.
Cloud fill opacity tightens when acceptance persists, visually signaling balance compressions ready to break.
Dashboard displays absolute width, ATR-normalized width, and current state (Balanced vs Transitional) so you can glance across charts quickly.
Acceptance Flag toggle: Keep the repeated acceptance squares hidden until you need to audit balance.
PARAMETERS
Structure Timeframe (default: 240): Choose the timeframe whose ranges matter most (4H for indices, Daily for stocks).
Structure Lookback (default: 60): Bars sampled on the structure timeframe.
Acceptance Bars (default: 8): How many consecutive bars inside the range confirm balance.
Break Confirmation Bars (default: 3): Bars required outside the range to validate a breakout.
ATR Reference (default: 14): ATR period for width normalization.
Show Midpoint Grid (default: enabled): Display the midpoint and quarter levels.
Show Adaptive VWAP Fan (default: enabled): Toggle the VWAP channel for assets where volume distribution matters most.
Show Acceptance Flags (default: disabled): Turn the acceptance markers on/off for maximum visual control.
Show Range Dashboard (default: enabled): Disable if screen space is limited, re-enable during prep sessions.
ALERTS
The indicator includes five alert conditions:
Range High Tap: Price interacted with the RangeLattice high
Range Low Tap: Price interacted with the RangeLattice low
Range Mid Tap: Price interacted with the RangeLattice mid
Range Break Up: Confirmed upside breakout
Range Break Down: Confirmed downside breakout
LIMITATIONS
This indicator works best on liquid instruments with clear structural levels. On very low timeframes (1-minute and below), the structure may update too frequently to be useful. The acceptance/break confirmation system requires patience—faster traders may find the multi-bar confirmation too slow for scalping. The VWAP fan is session-based and resets daily, which may not suit all trading styles.
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Recherche dans les scripts pour "range"
Implied Volatility RangeThe Implied Volatility Range is a forward-looking tool that transforms option market data into probability ranges for future prices. Based on the lognormal distribution of asset prices assumed in modern option pricing models, it converts the implied volatility curve into a volatility cone with dynamic labels that show the market’s expectations for the price distribution at a specific point in time. At the selected future date, it displays projected price levels and their percentage change from today’s close across 1, 2, and 3 standard deviation (σ) ranges:
1σ range = ~68.2% probability the price will remain within this range.
2σ range = ~95.4% probability the price will remain within this range.
3σ range = ~99.7% probability the price will remain within this range.
What makes this indicator especially useful is its ability to incorporate implied volatility skew. When only ATM IV (%) is entered, the indicator displays the standard Black–Scholes lognormal distribution. By adding High IV (%) and Low IV (%) values tied to strikes above and below the current price, the indicator interpolates between these inputs to approximate the implied volatility skew. This adjustment produces a market-implied probability distribution that indicates whether the option market is leaning bullish or bearish, based on the data entered in the menu:
ATM IV (%) = Implied volatility at the current spot price (at-the-money).
High IV (%) = Implied volatility at a strike above the current spot price.
High Strike = Strike price corresponding to the High IV input (OTM call).
Low IV (%) = Implied volatility at a strike below the current spot price.
Low Strike = Strike price corresponding to the Low IV input (OTM put).
Expiration (Day, Month, Year) = Option expiration date for the projection.
Once these inputs are entered, the indicator calculates implied probability ranges and, if both High IV and Low IV values are provided, adjusts for skew to approximate the option market’s distribution. If no implied volatility data is supplied, the indicator defaults to a lognormal distribution based on historical volatility, using past realized volatility over the same forward horizon. This keeps the tool functional even without implied volatility inputs, though in that case the output represents only an approximation of ATM IV, not the actual market view.
In summary, the Implied Volatility Range is a powerful tool that translates implied volatility inputs into a clear and practical estimate of the market’s expectations for future prices. It allows traders to visualize the probability of price ranges while also highlighting directional bias, a dimension often difficult to interpret from traditional implied volatility charts. It should be emphasized, however, that this tool reflects only the market’s expectations at a specific point in time, which may change as new information and trading activity reshape implied volatility.
DataDoodles ATR RangeThe "DataDoodles ATR Range" indicator provides a comprehensive visual representation of the Average True Range (ATR) levels based on the previous bar's close price . It includes both the raw ATR and an Exponential Moving Average (EMA) of the ATR to offer a smoother view of the range volatility. This indicator is ideal for traders who want to quickly assess potential price movements relative to recent volatility.
Key Features:
ATR Levels Above and Below Close: The indicator calculates and displays three levels of ATR-based ranges above and below the previous close price. These levels are visualized on the chart using distinct colors:
- 1ATR Above/Below
- 2ATR Above/Below
- 3ATR Above/Below
EMA of ATR
Includes the EMA of ATR to provide a smoother trend of the ATR values, helping traders identify long-term volatility trends.
Color-Coded Ranges: The plotted ranges are color-coded for easy identification, with warm gradient tones applied to the corresponding data table for quick reference.
Customizable Table: A data table is displayed at the bottom right corner of the chart, providing real-time values for ATR, EMA ATR, and the various ATR ranges.
Usage
This indicator is useful for traders who rely on volatility analysis to set stop losses, take profit levels, or simply understand the current market conditions. By visualizing ATR ranges directly on the chart, traders can better anticipate potential price movements and adjust their strategies accordingly.
Customization
ATR Length: The default ATR length is set to 14 but can be customized to fit your trading strategy.
Table Positioning: The data table is placed in the bottom right corner by default but can be moved as needed.
How to Use
Add the "DataDoodles ATR Range" indicator to your chart.
Observe the plotted lines for potential support and resistance levels based on recent volatility.
Use the data table for quick reference to ATR values and range levels.
Disclaimer: This indicator is a tool for analysis and should be used in conjunction with other indicators and analysis methods. Always practice proper risk management and consider market conditions before making trading decisions.
Swing Ranges [ChartPrime]Swing Ranges is an indicator designed to provide traders with valuable insights into swing movements and real-time support and resistance (SR) levels. This tool detects price swings and plots boxes around them, allowing traders to visualize the market dynamics efficiently. The indicator's primary focus is on real-time support and resistance levels, empowering traders to make well-informed decisions in dynamic market conditions.
Key Features:
Swing Box Visualization:
Swing Ranges excels at detecting swings in the price data and visually representing them with boxes on the price chart. This enables traders to quickly identify swing ranges, essential for understanding market trends and potential reversal points. VWAP POCs are also provided giving areas of high activity in each block.
Real-Time Support and Resistance Levels:
The core feature of Swing Ranges is its real-time support and resistance levels. These levels are dynamically calculated based on the volume-weighted data for each specific range. The indicator displays the strength of support and resistance zones with percentage bars, indicating the ratio between bullish and bearish volume. This real-time information empowers traders to assess the strength and significance of each SR level, enhancing their ability to execute well-timed trades.
ATR (Average True Range) Value:
Swing Ranges also includes an ATR value label, which shows the Average True Range for the selected period. ATR aids traders in understanding market volatility, enabling them to set appropriate stop-loss and take-profit levels for their trades.
VWAP (Volume Weighted Average Price) Information:
Traders c an readily access the VWAP value through the indicator's label. VWAP provides insights into the average price at which an asset has been traded, helping traders identify potential fair value areas and market trends.
Price Difference Percentage:
Swing Ranges displays the percentage difference between the high and low of each swing. This information allows traders to gauge the magnitude of price movements and assess potential profit targets more effectively.
The indicator also has a NV value. If the NV is high e.g. 10% or more there is indecision in the market and the market is trying to remain in a given range.
Settings Inputs:
1. Length Control:
The Length setting input in Swing Ranges allows traders to adjust the sensitivity of the indicator to detect swings. Traders can customize the length based on their trading strategies and timeframes.
2. ATR Period Adjustment:
The ATR Period input allows traders to fine-tune the calculation period for the Average True Range. This feature enables traders to adapt the indicator to different market conditions and asset classes.
Swing Ranges: Real-Time Support and Resistance Indicator is a comprehensive tool that combines swing visualization with dynamic support and resistance levels. By focusing on real-time SR levels, this indicator equips traders with the essential information needed to make confident trading decisions in ever-changing market conditions.
Monte Carlo Range Forecast [DW]This is an experimental study designed to forecast the range of price movement from a specified starting point using a Monte Carlo simulation.
Monte Carlo experiments are a broad class of computational algorithms that utilize random sampling to derive real world numerical results.
These types of algorithms have a number of applications in numerous fields of study including physics, engineering, behavioral sciences, climate forecasting, computer graphics, gaming AI, mathematics, and finance.
Although the applications vary, there is a typical process behind the majority of Monte Carlo methods:
-> First, a distribution of possible inputs is defined.
-> Next, values are generated randomly from the distribution.
-> The values are then fed through some form of deterministic algorithm.
-> And lastly, the results are aggregated over some number of iterations.
In this study, the Monte Carlo process used generates a distribution of aggregate pseudorandom linear price returns summed over a user defined period, then plots standard deviations of the outcomes from the mean outcome generate forecast regions.
The pseudorandom process used in this script relies on a modified Wichmann-Hill pseudorandom number generator (PRNG) algorithm.
Wichmann-Hill is a hybrid generator that uses three linear congruential generators (LCGs) with different prime moduli.
Each LCG within the generator produces an independent, uniformly distributed number between 0 and 1.
The three generated values are then summed and modulo 1 is taken to deliver the final uniformly distributed output.
Because of its long cycle length, Wichmann-Hill is a fantastic generator to use on TV since it's extremely unlikely that you'll ever see a cycle repeat.
The resulting pseudorandom output from this generator has a minimum repetition cycle length of 6,953,607,871,644.
Fun fact: Wichmann-Hill is a widely used PRNG in various software applications. For example, Excel 2003 and later uses this algorithm in its RAND function, and it was the default generator in Python up to v2.2.
The generation algorithm in this script takes the Wichmann-Hill algorithm, and uses a multi-stage transformation process to generate the results.
First, a parent seed is selected. This can either be a fixed value, or a dynamic value.
The dynamic parent value is produced by taking advantage of Pine's timenow variable behavior. It produces a variable parent seed by using a frozen ratio of timenow/time.
Because timenow always reflects the current real time when frozen and the time variable reflects the chart's beginning time when frozen, the ratio of these values produces a new number every time the cache updates.
After a parent seed is selected, its value is then fed through a uniformly distributed seed array generator, which generates multiple arrays of pseudorandom "children" seeds.
The seeds produced in this step are then fed through the main generators to produce arrays of pseudorandom simulated outcomes, and a pseudorandom series to compare with the real series.
The main generators within this script are designed to (at least somewhat) model the stochastic nature of financial time series data.
The first step in this process is to transform the uniform outputs of the Wichmann-Hill into outputs that are normally distributed.
In this script, the transformation is done using an estimate of the normal distribution quantile function.
Quantile functions, otherwise known as percent-point or inverse cumulative distribution functions, specify the value of a random variable such that the probability of the variable being within the value's boundary equals the input probability.
The quantile equation for a normal probability distribution is μ + σ(√2)erf^-1(2(p - 0.5)) where μ is the mean of the distribution, σ is the standard deviation, erf^-1 is the inverse Gauss error function, and p is the probability.
Because erf^-1() does not have a simple, closed form interpretation, it must be approximated.
To keep things lightweight in this approximation, I used a truncated Maclaurin Series expansion for this function with precomputed coefficients and rolled out operations to avoid nested looping.
This method provides a decent approximation of the error function without completely breaking floating point limits or sucking up runtime memory.
Note that there are plenty of more robust techniques to approximate this function, but their memory needs very. I chose this method specifically because of runtime favorability.
To generate a pseudorandom approximately normally distributed variable, the uniformly distributed variable from the Wichmann-Hill algorithm is used as the input probability for the quantile estimator.
Now from here, we get a pretty decent output that could be used itself in the simulation process. Many Monte Carlo simulations and random price generators utilize a normal variable.
However, if you compare the outputs of this normal variable with the actual returns of the real time series, you'll find that the variability in shocks (random changes) doesn't quite behave like it does in real data.
This is because most real financial time series data is more complex. Its distribution may be approximately normal at times, but the variability of its distribution changes over time due to various underlying factors.
In light of this, I believe that returns behave more like a convoluted product distribution rather than just a raw normal.
So the next step to get our procedurally generated returns to more closely emulate the behavior of real returns is to introduce more complexity into our model.
Through experimentation, I've found that a return series more closely emulating real returns can be generated in a three step process:
-> First, generate multiple independent, normally distributed variables simultaneously.
-> Next, apply pseudorandom weighting to each variable ranging from -1 to 1, or some limits within those bounds. This modulates each series to provide more variability in the shocks by producing product distributions.
-> Lastly, add the results together to generate the final pseudorandom output with a convoluted distribution. This adds variable amounts of constructive and destructive interference to produce a more "natural" looking output.
In this script, I use three independent normally distributed variables multiplied by uniform product distributed variables.
The first variable is generated by multiplying a normal variable by one uniformly distributed variable. This produces a bit more tailedness (kurtosis) than a normal distribution, but nothing too extreme.
The second variable is generated by multiplying a normal variable by two uniformly distributed variables. This produces moderately greater tails in the distribution.
The third variable is generated by multiplying a normal variable by three uniformly distributed variables. This produces a distribution with heavier tails.
For additional control of the output distributions, the uniform product distributions are given optional limits.
These limits control the boundaries for the absolute value of the uniform product variables, which affects the tails. In other words, they limit the weighting applied to the normally distributed variables in this transformation.
All three sets are then multiplied by user defined amplitude factors to adjust presence, then added together to produce our final pseudorandom return series with a convoluted product distribution.
Once we have the final, more "natural" looking pseudorandom series, the values are recursively summed over the forecast period to generate a simulated result.
This process of generation, weighting, addition, and summation is repeated over the user defined number of simulations with different seeds generated from the parent to produce our array of initial simulated outcomes.
After the initial simulation array is generated, the max, min, mean and standard deviation of this array are calculated, and the values are stored in holding arrays on each iteration to be called upon later.
Reference difference series and price values are also stored in holding arrays to be used in our comparison plots.
In this script, I use a linear model with simple returns rather than compounding log returns to generate the output.
The reason for this is that in generating outputs this way, we're able to run our simulations recursively from the beginning of the chart, then apply scaling and anchoring post-process.
This allows a greater conservation of runtime memory than the alternative, making it more suitable for doing longer forecasts with heavier amounts of simulations in TV's runtime environment.
From our starting time, the previous bar's price, volatility, and optional drift (expected return) are factored into our holding arrays to generate the final forecast parameters.
After these parameters are computed, the range forecast is produced.
The basis value for the ranges is the mean outcome of the simulations that were run.
Then, quarter standard deviations of the simulated outcomes are added to and subtracted from the basis up to 3σ to generate the forecast ranges.
All of these values are plotted and colorized based on their theoretical probability density. The most likely areas are the warmest colors, and least likely areas are the coolest colors.
An information panel is also displayed at the starting time which shows the starting time and price, forecast type, parent seed value, simulations run, forecast bars, total drift, mean, standard deviation, max outcome, min outcome, and bars remaining.
The interesting thing about simulated outcomes is that although the probability distribution of each simulation is not normal, the distribution of different outcomes converges to a normal one with enough steps.
In light of this, the probability density of outcomes is highest near the initial value + total drift, and decreases the further away from this point you go.
This makes logical sense since the central path is the easiest one to travel.
Given the ever changing state of markets, I find this tool to be best suited for shorter term forecasts.
However, if the movements of price are expected to remain relatively stable, longer term forecasts may be equally as valid.
There are many possible ways for users to apply this tool to their analysis setups. For example, the forecast ranges may be used as a guide to help users set risk targets.
Or, the generated levels could be used in conjunction with other indicators for meaningful confluence signals.
More advanced users could even extrapolate the functions used within this script for various purposes, such as generating pseudorandom data to test systems on, perform integration and approximations, etc.
These are just a few examples of potential uses of this script. How you choose to use it to benefit your trading, analysis, and coding is entirely up to you.
If nothing else, I think this is a pretty neat script simply for the novelty of it.
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How To Use:
When you first add the script to your chart, you will be prompted to confirm the starting date and time, number of bars to forecast, number of simulations to run, and whether to include drift assumption.
You will also be prompted to confirm the forecast type. There are two types to choose from:
-> End Result - This uses the values from the end of the simulation throughout the forecast interval.
-> Developing - This uses the values that develop from bar to bar, providing a real-time outlook.
You can always update these settings after confirmation as well.
Once these inputs are confirmed, the script will boot up and automatically generate the forecast in a separate pane.
Note that if there is no bar of data at the time you wish to start the forecast, the script will automatically detect use the next available bar after the specified start time.
From here, you can now control the rest of the settings.
The "Seeding Settings" section controls the initial seed value used to generate the children that produce the simulations.
In this section, you can control whether the seed is a fixed value, or a dynamic one.
Since selecting the dynamic parent option will change the seed value every time you change the settings or refresh your chart, there is a "Regenerate" input built into the script.
This input is a dummy input that isn't connected to any of the calculations. The purpose of this input is to force an update of the dynamic parent without affecting the generator or forecast settings.
Note that because we're running a limited number of simulations, different parent seeds will typically yield slightly different forecast ranges.
When using a small number of simulations, you will likely see a higher amount of variance between differently seeded results because smaller numbers of sampled simulations yield a heavier bias.
The more simulations you run, the smaller this variance will become since the outcomes become more convergent toward the same distribution, so the differences between differently seeded forecasts will become more marginal.
When using a dynamic parent, pay attention to the dispersion of ranges.
When you find a set of ranges that is dispersed how you like with your configuration, set your fixed parent value to the parent seed that shows in the info panel.
This will allow you to replicate that dispersion behavior again in the future.
An important thing to note when settings alerts on the plotted levels, or using them as components for signals in other scripts, is to decide on a fixed value for your parent seed to avoid minor repainting due to seed changes.
When the parent seed is fixed, no repainting occurs.
The "Amplitude Settings" section controls the amplitude coefficients for the three differently tailed generators.
These amplitude factors will change the difference series output for each simulation by controlling how aggressively each series moves.
When "Adjust Amplitude Coefficients" is disabled, all three coefficients are set to 1.
Note that if you expect volatility to significantly diverge from its historical values over the forecast interval, try experimenting with these factors to match your anticipation.
The "Weighting Settings" section controls the weighting boundaries for the three generators.
These weighting limits affect how tailed the distributions in each generator are, which in turn affects the final series outputs.
The maximum absolute value range for the weights is . When "Limit Generator Weights" is disabled, this is the range that is automatically used.
The last set of inputs is the "Display Settings", where you can control the visual outputs.
From here, you can select to display either "Forecast" or "Difference Comparison" via the "Output Display Type" dropdown tab.
"Forecast" is the type displayed by default. This plots the end result or developing forecast ranges.
There is an option with this display type to show the developing extremes of the simulations. This option is enabled by default.
There's also an option with this display type to show one of the simulated price series from the set alongside actual prices.
This allows you to visually compare simulated prices alongside the real prices.
"Difference Comparison" allows you to visually compare a synthetic difference series from the set alongside the actual difference series.
This display method is primarily useful for visually tuning the amplitude and weighting settings of the generators.
There are also info panel settings on the bottom, which allow you to control size, colors, and date format for the panel.
It's all pretty simple to use once you get the hang of it. So play around with the settings and see what kinds of forecasts you can generate!
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ADDITIONAL NOTES & DISCLAIMERS
Although I've done a number of things within this script to keep runtime demands as low as possible, the fact remains that this script is fairly computationally heavy.
Because of this, you may get random timeouts when using this script.
This could be due to either random drops in available runtime on the server, using too many simulations, or running the simulations over too many bars.
If it's just a random drop in runtime on the server, hide and unhide the script, re-add it to the chart, or simply refresh the page.
If the timeout persists after trying this, then you'll need to adjust your settings to a less demanding configuration.
Please note that no specific claims are being made in regards to this script's predictive accuracy.
It must be understood that this model is based on randomized price generation with assumed constant drift and dispersion from historical data before the starting point.
Models like these not consider the real world factors that may influence price movement (economic changes, seasonality, macro-trends, instrument hype, etc.), nor the changes in sample distribution that may occur.
In light of this, it's perfectly possible for price data to exceed even the most extreme simulated outcomes.
The future is uncertain, and becomes increasingly uncertain with each passing point in time.
Predictive models of any type can vary significantly in performance at any point in time, and nobody can guarantee any specific type of future performance.
When using forecasts in making decisions, DO NOT treat them as any form of guarantee that values will fall within the predicted range.
When basing your trading decisions on any trading methodology or utility, predictive or not, you do so at your own risk.
No guarantee is being issued regarding the accuracy of this forecast model.
Forecasting is very far from an exact science, and the results from any forecast are designed to be interpreted as potential outcomes rather than anything concrete.
With that being said, when applied prudently and treated as "general case scenarios", forecast models like these may very well be potentially beneficial tools to have in the arsenal.
cc AJGB Candle Range Finder with TableOverview:
The "cc AJGB Candle Range Finder with Table" is a versatile Pine Script indicator designed to identify and visualize price ranges within the 1 minute charts based on UTC+2 Time Zone. Unlike traditional range indicators, it offers three unique calculation methods to define ranges based on minute and hour interactions, displays ranges as boxes with labeled point values, and summarizes average range sizes in a customizable table. This tool is ideal for analyzing price ranges of specific time based ranges.
Features:
Customizable Time Range: Users specify a start and end minute (0-59) to define the range period (e.g., 29th to 35th minute).
Three Calculation Methods:
Minute Only: Uses the minute of each bar to identify ranges (e.g., matches user-specified minutes).
Minute - Hour: Adjusts the minute by subtracting the hour, allowing for dynamic range detection across hourly cycles.
Minute + Hour: Combines minute and hour values for a unique range calculation, useful for specific intraday patterns.
Visual Output: Draws boxes around detected ranges, with labels showing the start/end minutes and range size in points.
Summary Table: Displays the average range size (in points) for each method, with customizable position, colors, and text size.
How It Works:
The indicator evaluates each bar’s timestamp in (UTC+2 ONLY) to match user-specified minutes using one or more selected methods. When a start minute is detected, it tracks the high and low prices until the end minute, drawing a box to highlight the range and labeling it with the range size in points. A table summarizes the average range size for each method, helping traders assess typical price movements during the specified period.
Market Analysis: Compare range sizes across different methods to understand intraday volatility patterns.
Settings Customization: Adjust colors, table position, and label sizes to suit your chart preferences.
Settings:
Range to Find: Set start and end minutes.
Range Selection: Enable/disable each method and customize colors.
Range Label Size: Choose label size (Tiny to Huge).
Table Settings: Configure table position (Top, Bottom, Left, Right), sub-position, text size, and colors.
Notes:
Only works on 1 minute charts
The indicator works best using Start Times that are lower than the End Times.
Ensure the chart is set to UTC+2 Time Zone for accurate range detection.
Why It’s Unique:
Unlike standard range indicators that focus on sessions or fixed periods, this tool allows precise minute-based range detection with three distinct calculation methods, offering flexibility for data gathering. The interactive table provides quick insights into average range sizes.
[KVA] ICT Dealing rangesNaive aproach of Dynamic Detection of Dealing Ranges:
The script dynamically identifies dealing ranges based on sequences of upward or downward price movements. It uses arrays to track the highest highs and lowest lows after detecting two consecutive up or down bars, a fundamental step towards understanding market structure and potential shifts in momentum.
ICT Concept: Order Blocks & Fair Value Gaps. This aspect can be linked to the identification of order blocks (bullish or bearish) and fair value gaps. Order blocks are essentially the last bearish or bullish candle before a significant price move, which this script could approximate by identifying the highs and lows of potential reversal zones.
Red and Green Ranges for Bullish and Bearish Movements:
The script separates these movements into red (bearish) and green (bullish) ranges, effectively categorizing potential areas of selling and buying pressure.
ICT Concept: Liquidity Pools. Red ranges could be indicative of areas where selling might occur, potentially leading to liquidity pools below these ranges. Conversely, green ranges might indicate potential buying pressure, with liquidity pools above. These areas are critical for ICT traders, as they often represent zones where price may return to "hunt" for liquidity.
Horizontal Lines for High and Low Points:
The indicator draws horizontal lines at the high and low points of these ranges, offering visual cues for significant levels.
ICT Concept: Breaker Blocks & Mitigation Sequences. The high and low points of these ranges can be seen as potential breaker blocks or areas for future mitigation sequences. In ICT terms, breaker blocks are areas where institutional orders have overwhelmed retail stop clusters, creating potential entry points for trend continuation or reversal. The high and low points marked by the indicator could serve as references for these sequences, where price might return to retest these levels.
Customizability and Historical Depth:
With inputs like rangePlot and maxBarsBack, the indicator allows for customization of the number of ranges to display and how far back in the chart history it looks to identify these ranges. This flexibility is crucial for tailoring the analysis to different trading strategies and timeframes.
ICT Concept: Market Structure Analysis. The ability to adjust the depth and number of ranges plotted caters to a detailed market structure analysis, an essential component of ICT methodology. Traders can adjust these parameters to better understand the distribution of buying and selling pressure over time and how actions have shaped price movements.
Macro Range HighlighterThis Pine Script indicator creates visual boxes that highlight specific time-based price ranges throughout the trading day, operating in New York Eastern Time. It offers two distinct modes: a standard hourly range mode and a classic ICT (Inner Circle Trader) Macro mode.
Two Operating Modes
Mode 1: Standard Hourly 50-09 Ranges (Default)
This mode identifies and highlights the price range during the final 10 minutes of each hour (xx:50) through the first 9 minutes of the next hour (xx:09).
Examples of captured ranges:
08:50 - 09:09
09:50 - 10:09
10:50 - 11:09
11:50 - 12:09
12:50 - 13:09
13:50 - 14:09
14:50 - 15:09
And continues for each hour...
Excluded Time Periods:
The indicator excludes certain periods that cross into or occur during market close and the daily reset:
02:50 - 03:09 (excluded to avoid interference with overnight session)
15:50 - 18:09 (excluded to avoid end-of-regular-hours and the 18:00 ET trading day reset)
This means you will NOT see boxes during the 16:00 or 17:00 hours, as these fall within the excluded window.
Mode 2: Classic ICT Macro Times
When enabled, this mode shows ONLY four specific time windows that are significant in ICT methodology:
02:33 - 02:59 (London Midnight Macro)
04:03 - 04:29 (London Open Macro)
13:10 - 13:39 (New York Lunch Macro)
15:15 - 15:44 (New York Close Macro)
When this mode is active, all standard hourly ranges are disabled, including the 02:50-03:09 range.
Green Line - Open Price
Represents the open price of the first candle when the range begins
This line is static once set - it shows where price opened when entering the time window
Extends horizontally across the entire duration of the box
Example: If the range starts at 08:50 and that candle opens at 18,500, the green line will be drawn at 18,500
Blue Line - Evolving Midpoint
Represents the dynamic midpoint between the range high and range low
This line continuously recalculates as new highs or lows are made within the time window
Calculation: Midpoint = (Range High + Range Low) / 2
Evolution example:
At 08:50, range is 18,480 (low) to 18,520 (high), midpoint = 18,500
At 08:55, price makes new high of 18,540, midpoint updates to 18,510
At 09:02, price makes new low of 18,470, midpoint updates to 18,505
The line visually adjusts up and down as the range expands
Extension: The line extends horizontally from the start of the range to the current bar (or end of range)
This gives traders a visual reference for the "fair value" or equilibrium point of the range
Red Line - Close Price
Represents the close price of the most recent candle within the time window
This line updates continuously with each new bar's close price
Extends horizontally across the range
When the range completes (exits the time window), it shows the final close price of the last bar in the range
Example: As price moves from 08:50 to 09:09, the red line will track the close of each candle: 18,505 → 18,510 → 18,508 → 18,515, etc.
This indicator provides a sophisticated visual framework for analyzing specific time-based price behavior. The evolving midpoint (blue line and optional yellow plot) is particularly powerful because it gives you real-time feedback on where the "fair value" of the range is as it develops, allowing you to make informed decisions about whether price is extended or returning to equilibrium. The three-line system (open/mid/close) creates a complete picture of price action within each critical time window, whether you're using standard hourly analysis or focusing on ICT's specific macro times.
ICT Opening Range Projections (tristanlee85)ICT Opening Range Projections
This indicator visualizes key price levels based on ICT's (Inner Circle Trader) "Opening Range" concept. This 30-minute time interval establishes price levels that the algorithm will refer to throughout the session. The indicator displays these levels, including standard deviation projections, internal subdivisions (quadrants), and the opening price.
🟪 What It Does
The Opening Range is a crucial 30-minute window where market algorithms establish significant price levels. ICT theory suggests this range forms the basis for daily price movement.
This script helps you:
Mark the high, low, and opening price of each session.
Divide the range into quadrants (premium, discount, and midpoint/Consequent Encroachment).
Project potential price targets beyond the range using configurable standard deviation multiples .
🟪 How to Use It
This tool aids in time-based technical analysis rooted in ICT's Opening Range model, helping you observe price interaction with algorithmic levels.
Example uses include:
Identifying early structural boundaries.
Observing price behavior within premium/discount zones.
Visualizing initial displacement from the range to anticipate future moves.
Comparing price reactions at projected standard deviation levels.
Aligning price action with significant times like London or NY Open.
Note: This indicator provides a visual framework; it does not offer trade signals or interpretations.
🟪 Key Information
Time Zone: New York time (ET) is required on your chart.
Sessions: Supports multiple sessions, including NY midnight, NY AM, NY PM, and three custom timeframes.
Time Interval: Supports multi-timeframe up to 15 minutes. Best used on a 1-minute chart for accuracy.
🟪 Session Options
The Opening Range interval is configurable for up to 6 sessions:
Pre-defined ICT Sessions:
NY Midnight: 12:00 AM – 12:30 AM ET
NY AM: 9:30 AM – 10:00 AM ET
NY PM: 1:30 PM – 2:00 PM ET
Custom Sessions:
Three user-defined start/end time pairs.
This example shows a custom session from 03:30 - 04:00:
🟪 Understanding the Levels
The Opening Price is the open of the first 1-minute candle within the chosen session.
At session close, the Opening Range is calculated using its High and Low . An optional swing-based mode uses swing highs/lows for range boundaries.
The range is divided into quadrants by its midpoint ( Consequent Encroachment or CE):
Upper Quadrant: CE to high (premium).
Lower Quadrant: Low to CE (discount).
These subdivisions help visualize internal range dynamics, where price often reacts during algorithmic delivery.
🟪 Working with Ranges
By default, the range is determined by the highest high and lowest low of the 30-minute session:
A range can also be determined by the highest/lowest swing points:
Quadrants outline the premium and discount of a range that price will reference:
Small ranges still follow the same algorithmic logic, but may be deemed insignificant for one's trading. These can be filtered in the settings by specifying a minimum ticks limit. In this example, the range is 42 ticks (10.5 points) but the indicator is configured for 80 ticks (20 points). We can select which levels will plot if the range is below the limit. Here, only the 00:00 opening price is plotted:
You may opt to include the range high/low, quadrants, and projections as well. This will plot a red (configurable) range bracket to indicate it is below the limit while plotting the levels:
🟪 Price Projections
Projections extend beyond the Opening Range using standard deviations, framing the market beyond the initial session and identifying potential targets. You define the standard deviation multiples (e.g., 1.0, 1.5, 2.0).
Both positive and negative extensions are displayed, symmetrically projected from the range's high and low.
The Dynamic Levels option plots only the next projection level once price crosses the previous extreme. For example, only the 0.5 STDEV level plots until price reaches it, then the 1.0 level appears, and so on. This continues up to your defined maximum projections, or indefinitely if standard deviations are set to 0.
This example shows dynamic levels for a total of 6 sessions, only 1 of which meet a configured minimum limit of 50 ticks:
Small ranges followed by significant displacement are impacted the most with the number of levels plotted. You may hide projections when configuring the minimum ticks.
A fixed standard deviation will plot levels in both directions, regardless of the price range. Here, we plot up to 3.0 which hiding projections for small ranges:
🟪 Legal Disclaimer
This indicator is provided for informational and educational purposes only. It is not financial advice, and should not be construed as a recommendation to buy or sell any financial instrument. Trading involves substantial risk, and you could lose a significant amount of money. Past performance is not indicative of future results. Always consult with a qualified financial professional before making any trading or investment decisions. The creators and distributors of this indicator assume no responsibility for your trading outcomes.
Smart Range DetectorSmart Range Detector
What It Does
This indicator automatically detects and validates significant trading ranges using pivot point analysis combined with logarithmic fibonacci relationships. It operates by identifying specific pivot patterns (High-Low-High and Low-High-Low) that meet fibonacci validation criteria to filter out noise and highlight only the most reliable trading ranges. Each range is continuously monitored for potential mitigation (breakout) events.
Key Features
Identifies both High-Low-High and Low-High-Low range patterns
Validates each range using logarithmic fibonacci relationships (more accurate than linear fibs)
Detects range mitigations (breakouts) and visually differentiates them
Shows fibonacci levels within ranges (25%, 50%, 75%) for potential reversal points
Visualizes extension levels beyond ranges for breakout targets
Analyzes volume profile with customizable price divisions (default: 60)
Displays Point of Control (POC) and Value Area for traded volume analysis
Implements performance optimization with configurable range limits
Includes user-adjustable safety checks to prevent Pine Script limitations
Offers fully customizable colors, line widths, and transparency settings
How To Use It
Identify Valid Ranges : The indicator automatically detects and highlights trading ranges that meet fibonacci validation criteria
Monitor Fibonacci Levels : Watch for price reactions at internal fib levels (25%, 50%, 75%) for potential reversal opportunities
Track Extension Targets : Use the extension lines as potential targets when price breaks out of a range
Analyze Volume Structure : Enable the volume profile mode to see where most volume was traded within mitigated ranges
Trade Range Boundaries : Look for reactions at range highs/lows combined with volume POC for higher probability entries
Manage Performance : Adjust the maximum displayed ranges and history bars settings for optimal chart performance
Settings Guide
Left/Right Bars Look Back : Controls how far back the indicator looks to identify pivot points (higher values find more ranges but may reduce sensitivity)
Max History Bars : Limits how far back in history the indicator will analyze (stays within Pine Script's 10,000 bar limitation)
Max Ranges to Display : Restricts the total number of ranges kept in memory for improved performance (1-50)
Volume Profile : When enabled, shows volume distribution analysis for mitigated ranges
Volume Profile Divisions : Controls the granularity of the volume analysis (higher values show more detail)
Display Options : Toggle visibility of range lines, fibonacci levels, extension lines, and volume analysis elements
Transparency & Color Settings : Fully customize the visual appearance of all indicator elements
Line Width Settings : Adjust the thickness of lines for better visibility on different timeframes
Technical Details
The indicator uses logarithmic fibonacci calculations for more accurate price relationships
Volume profile analysis creates 60 price divisions by default (adjustable) for detailed volume distribution
All timestamps are properly converted to work with Pine Script's bar limitations
Safety checks prevent "array index out of bounds" errors that plague many complex indicators
Time-based coordinates are used instead of bar indices to prevent "bar index too far" errors
This indicator works well on all timeframes and instruments, but performs best on 5-minute to daily charts. Perfect for swing traders, range traders, and breakout strategists.
What Makes It Different
Most range indicators simply draw boxes based on recent highs and lows. Smart Range Detector validates each potential range using proven fibonacci relationships to filter out noise. It then adds sophisticated volume analysis to help traders identify the most significant price levels within each range. The performance optimization features ensure smooth operation even on lower timeframes and extended history analysis.
Intraday Uncertainty [PhenLabs]📊 Intraday Uncertainty
Version: PineScript™ v6
📌 Description
The Intraday Uncertainty indicator offers traders a visual representation of market certainty/uncertainty during trading sessions. By comparing each price bar’s range to the Average True Range (ATR), it provides an intuitive way to gauge market conviction through a color gradient system.
This tool helps traders identify periods of high certainty (potentially trending markets) versus high uncertainty (potentially choppy or volatile markets) without complex calculations or multiple indicators. The color-coded bars create an immediate visual cue to support decision-making in varying market conditions.
🚀 Points of Innovation
Automated range-to-ATR ratio calculation that adapts to changing market volatility
Dynamic color gradient system that visually distinguishes between certain and uncertain price action
Customizable gradient clamping to fine-tune sensitivity to market conditions
Integrated dashboard that provides clear interpretation guidance
Position-flexible legend that accommodates different chart layouts
Highly optimized for performance with minimal calculation overhead
🔧 Core Components
ATR Calculation: Measures market volatility using a configurable lookback period
Range-to-ATR Ratio: Compares current bar’s high-low range against average volatility
Gradient Mapping System: Converts numerical uncertainty values into an intuitive color scale
Dashboard Legend: Provides clear interpretation guidance with customizable positioning
🔥 Key Features
Bar Coloring: Instantly identifies market certainty levels through intuitive color gradients
Customizable ATR Period: Adjust sensitivity to historical volatility based on trading style
Gradient Clamping: Fine-tune the color sensitivity using the Range/ATR multiplier
Color Customization: Personalize the color scheme to match your chart aesthetics
Informative Dashboard: Quickly interpret color meanings with the optional on-chart legend
Flexible Display Options: Customize dashboard position and text size for your chart layout
🎨 Visualization
Color Gradient: Bars colored on a spectrum from green (high certainty) to red (high uncertainty)
Dashboard Legend: Optional on-chart guide explaining the color interpretation
Color Intensity: Stronger colors indicate more extreme certainty/uncertainty levels
At-a-glance Interpretation: Quickly identify market conviction without analyzing numbers
📖 Usage Guidelines
Calculation Settings
ATR Period
Default: 14
Range: 1+
Description: Controls the lookback period for ATR calculation. Lower values increase sensitivity to recent volatility, while higher values provide more stability.
Gradient Clamp (Range/ATR Multiplier)
Default: 2.0
Range: 0.1+
Description: Sets the maximum Range/ATR ratio for gradient scaling. Ranges above this value display the end color (high uncertainty).
Color Settings
Gradient Start Color (High Certainty)
Default: Green
Description: Color representing high market certainty (low Range/ATR ratio)
Gradient End Color (Low Certainty)
Default: Red
Description: Color representing low market certainty (high Range/ATR ratio)
Dashboard Settings
Show Dashboard Legend
Default: True
Description: Toggles the visibility of the on-chart interpretation guide
Dashboard Position
Options: top_right, top_left, bottom_right, bottom_left, middle_right, middle_left
Default: bottom_right
Description: Controls the placement of the dashboard on your chart
Dashboard Text Size
Options: tiny, small, normal, large, huge
Default: normal
Description: Adjusts the text size of the dashboard for readability
✅ Best Use Cases
Identifying potential trend shifts when certainty levels change dramatically
Confirming trend strength through consistent certainty levels
Detecting choppy/sideways markets with persistent high uncertainty
Filtering trading signals from other indicators based on certainty levels
Gauging market conviction behind price breakouts or pullbacks
Optimizing entry/exit timing based on certainty/uncertainty transitions
⚠️ Limitations
Does not predict future price direction, only measures current bar certainty
May provide false signals during news events or unexpected volatility spikes
Requires context within the broader market environment for optimal interpretation
Color interpretation is relative rather than absolute across different securities
ATR-based calculation means sensitivity varies across different timeframes
💡 What Makes This Unique
Simplicity: Single visual indicator that doesn’t require multiple technical tools
Adaptability: Automatically adjusts to changing market volatility conditions
Contextual Analysis: Provides market conviction context beyond just price movement
Intuitive Design: Color-based system that requires minimal learning curve
Efficiency: Lightweight calculation that doesn’t impact chart performance
🔬 How It Works
1. ATR Calculation:
Calculates the Average True Range using the specified period
Establishes a baseline for normal market volatility
2. Range Analysis:
Measures each bar’s high-low range
Compares this range to the current ATR value to create a ratio
3. Gradient Mapping:
Converts the Range/ATR ratio to a normalized value between 0 and 1
Maps this value onto a color gradient between the start and end colors
Applies the resulting color to the price bar
4. Dashboard Creation:
Constructs an information panel on the last visible bar
Populates it with color samples and interpretation guidance
💡 Note:
This indicator works best when used in conjunction with other technical analysis tools rather than in isolation. The certainty/uncertainty measure provides context for your trading decisions but should not be the sole basis for entries and exits. Consider using higher certainty periods for trend-following strategies and exercise caution during periods of high uncertainty.
Opening Range & Prior Day High/Low [Gorb]Introduction:
Opening Range & Prior Day High/Low indicator is an easy to use day traders tool. This indicator automatically plots the previous days high and low, as well as drawing a box from the opening range that the user specifies in the settings. These two together can help provide an indication of market sentiment and price trends for the day. They are often used as a trading strategy for day traders.
Overview:
The Opening Range , draws a box from the high to the low of the user defined time period and is extended until the end of the trading session. Most common are the 5/15/30min opening ranges.
Prior Day High/Low , draws lines from the previous days high and low that extend across the current session. These are used as support/resistance and also a marker to see market sentiment by crossing one of these levels.
The indicator is designed for all kinds of traders, offering a simple approach to automatically plot levels for you.
Features:
All skill-level friendly presets, easy to enable with one-click
Opening Range: Allows user to choose what time the range starts and ends to measure the high & low.
Extend Range Lines: allows the user to choose when the box stops extending according to the trading session time.
Enable Opening Range Box: allows the user to choose to plot the opening range or not.
ORB Border Color: allows the user to change the box border color.
ORB Box Shade Color: allows the user to change the background of the opening range box.
ORB Line Width: allows users to chose the width of the opening range box lines.
Enable Previous Day High: allows users to enable the previous days high to be plotted.
Enable Previous Day Low: allows users to enable the previous days high to be plotted.
Previous Day High Color: allows users to choose the color for this line.
Previous Day Low Color: allows users to choose the color for this line.
All colors are changeable for the user to customize to their liking.
Usage Demonstration
In the image below, we can see a basic example of how these 3 features function.
As explained above, the opening range is customizable to meet the users needs and can be disabled with one click. Same goes for the prior day high(green) and low(red) lines. All 3 are plotted each day automatically for the user if enabled.
In the image below, we can see an example of using the opening range break and prior day high together for a trading strategy.
This is a great example of using the prior day high with the opening range to use as a day trading strategy. It provides the trader with levels to watch for price to break out from for possible trade setups.
In this next image, we can see a failed breakdown from the opening range that results in a bullish breakout.
The first move was a fake breakdown with the failed rejection on the retest of the opening range lows. This led to a breakout above the range and a confirmation bounce on the breakout retest. Price did break above the prior day high and confirmed with a retest bounce on that level as well.
In the image below, we can see how previous days levels can act as resistance to use with the opening range.
Price didn't reject the opening range low, but it did reject the prior day high for the second time. This could be used as an entry or once price breaks down out of the opening range again.
Conclusion:
We believe in providing user-friendly tools to help speed up traders technical analysis and implement easy trading strategies. The goal is to provide a user-friendly indicator to automatically draw opening ranges and previous days levels to suit the users needs and trading style.
RISK DISCLAIMER
All content, tools, scripts & education provided by Monstanzer or Gorb Algo LLC are for informational & educational purposes only. Trading is risk and most lose their money, past performance does not guarantee future results.
Session Range and Breakout Summary
This script presents the session range and post session movements relative to that range of all the majors and crosses on a single page. You can also set it to a daily range and weekly range (beta). It will even show you the pip value of the range. I made the indicator to easily stay on top of market movements at london open relative to the Asia session range. Its very easy to see which entire currency group is breaking its asia range WHIST ITS HAPPENING. Focus on NZD in the examples as it was the market lead today - I was able to get some of it when I saw the entire group breaking its range
Showing all the majors and crosses relative to the Asia range (00:00 - 07:00 GMT)
Active 'show on chart' to verify the indicator is measuring the range correctly. Compare below to the NZD box above - you can see how NZD had control of the market this morning and all NZD pairs broke out of their ranges.
'PIP MODE' - active pip mode to see what the pip range was of the session
Notes
The information is presented RELATIVELY - this means that all the ranges and movements are scaled to be the same size. You are therefore seeing the movements relative to their ranges. When you see a breakout it relative to the size of the range - for example, if GBPJPY had a range of 50pips and breaks out of the range by 100 pip and GBPEUR has a range of 20 pips and breaks out by 40 pips they have both broken out double the range and will be displayed as the same distance.
The indicator will show the movements whilst the range is forming. I did this so I can see what the groups are doing before Europe open and be ready - such as lingering at the top end of its INCOMPLETE asia range. Be aware through that if the lines are flat at the top of the range WHILST THE RANGE IS STILL FORMING this does not mean price was flat, it means that price was pushing up and growing the range. (Price can't breakout until the range has formed at the end of the session)
The currency pairs are organised to show the strength or weakness of the selected group - this means that the base currency is always the select group. This is to present the data with currencies moving in the same direction rather than some reversed but meaning the same in relation to currency strength. In the NZD example:
NZDAUD (not AUDNZD )
NZDCAD
NZDCHF
NZDEUR (not EURNZD )
NZDGBP (not GBPNZD )
NZDJPY
NZDUSD
I hope its useful. This is the most powerful indicator I've managed to write yet. It was difficult to make the code efficient enough to fit into the pinescript limit and still do everything.
Custom Time ranges. Daily price ranges.Addition to previous time range script, now containing daily ranges. You can select a day of the week, and have it show the high, low, mid, and open of that day.
For the time bands:
Monday = 2
Tuesday = 3
Wednesday = 4
Thursday = 5
Friday = 6
Saturday = 7
Sunday = 1
Example 1:
1500-1800:2
This will colour the background between 3pm and 6pm on Mondays.
Example 2:
0000-0600:247
This will colour the background between midnight and 6am on Mondays, Wednesdays, and Saturdays.
For the Daily price ranges:
Just select the tick-box forthe day, and then the price levels you'd like to see.
I want to add specific weekly levels to this, for example: week 06 of year 2020, but I've not figured out how to do it yet. If anyone knows, I'd appreciate it if you let me know. I'll then update this script.
As always, any questions you may have, please leave in comments below and I'll respond when I have time.
If you notice anything good with this indicator, let me know. We are all in this to make money after all! ;)
Opening Range IndicatorComplete Trading Guide: Opening Range Breakout Strategy
What Are Opening Ranges?
Opening ranges capture the high and low prices during the first few minutes of market open. These levels often act as key support and resistance throughout the trading day because:
Heavy volume occurs at market open as overnight orders execute
Institutional activity is concentrated during opening minutes
Price discovery happens as market participants react to overnight news
Psychological levels are established that traders watch all day
Understanding the Three Timeframes
OR5 (5-Minute Range: 9:30-9:35 AM)
Most sensitive - captures immediate market reaction
Quick signals but higher false breakout rate
Best for scalping and momentum trading
Use for early entry when conviction is high
OR15 (15-Minute Range: 9:30-9:45 AM)
Balanced approach - most popular among day traders
Moderate sensitivity with better reliability
Good for swing trades lasting several hours
Primary timeframe for most strategies
OR30 (30-Minute Range: 9:30-10:00 AM)
Most reliable but slower signals
Lower false breakout rate
Best for position trades and trend following
Use when looking for major moves
Core Trading Strategies
Strategy 1: Basic Breakout
Setup:
Wait for price to break above OR15 high or below OR15 low
Enter on the breakout candle close
Stop loss: Opposite side of the range
Target: 2-3x the range size
Example:
OR15 range: $100.00 - $102.00 (Range = $2.00)
Long entry: Break above $102.00
Stop loss: $99.50 (below OR15 low)
Target: $104.00+ (2x range size)
Strategy 2: Multiple Confirmation
Setup:
Wait for OR5 break first (early signal)
Confirm with OR15 break in same direction
Enter on OR15 confirmation
Stop: Below OR30 if available, or OR15 opposite level
Why it works:
Multiple timeframe confirmation reduces false signals and increases probability of sustained moves.
Strategy 3: Failed Breakout Reversal
Setup:
Price breaks OR15 level but fails to hold
Wait for re-entry into the range
Enter reversal trade toward opposite OR level
Stop: Recent breakout high/low
Target: Opposite side of range + extension
Key insight: Failed breakouts often lead to strong moves in the opposite direction.
Advanced Techniques
Range Quality Assessment
High-Quality Ranges (Trade these):
Range size: 0.5% - 2% of stock price
Clean boundaries (not choppy)
Volume spike during range formation
Clear rejection at range levels
Low-Quality Ranges (Avoid these):
Very narrow ranges (<0.3% of stock price)
Extremely wide ranges (>3% of stock price)
Choppy, overlapping candles
Low volume during formation
Volume Confirmation
For Breakouts:
Look for volume spike (2x+ average) on breakout
Declining volume often signals false breakout
Rising volume during range formation shows interest
Market Context Filters
Best Conditions:
Trending market days (SPY/QQQ with clear direction)
Earnings reactions or news-driven moves
High-volume stocks with good liquidity
Volatility above average (VIX considerations)
Avoid Trading When:
Extremely low volume days
Major economic announcements pending
Holidays or half-days
Choppy, sideways market conditions
Risk Management Rules
Position Sizing
Conservative: Risk 0.5% of account per trade
Moderate: Risk 1% of account per trade
Aggressive: Risk 2% maximum per trade
Stop Loss Placement
Inside the range: Quick exit but higher stop-out rate
Outside opposite level: More room but larger risk
ATR-based: 1.5-2x Average True Range below entry
Profit Taking
Target 1: 1x range size (take 50% off)
Target 2: 2x range size (take 25% off)
Runner: Trail remaining 25% with moving stops
Specific Entry Techniques
Breakout Entry Methods
Method 1: Immediate Entry
Enter as soon as price closes above/below range
Fastest entry but highest false signal rate
Best for strong momentum situations
Method 2: Pullback Entry
Wait for breakout, then pullback to range level
Enter when price bounces off former resistance/support
Better risk/reward but may miss some moves
Method 3: Volume Confirmation
Wait for breakout + volume spike
Enter after volume confirmation candle
Reduces false signals significantly
Multiple Timeframe Entries
Aggressive: OR5 break → immediate entry
Conservative: OR5 + OR15 + OR30 all align → enter
Balanced: OR15 break with OR30 support → enter
Common Mistakes to Avoid
1. Trading Poor-Quality Ranges
❌ Don't trade ranges that are too narrow or too wide
✅ Focus on clean, well-defined ranges with good volume
2. Ignoring Volume
❌ Don't chase breakouts without volume confirmation
✅ Always check for volume spike on breakouts
3. Over-Trading
❌ Don't force trades when ranges are unclear
✅ Wait for high-probability setups only
4. Poor Risk Management
❌ Don't risk more than planned or use tight stops in volatile conditions
✅ Stick to predetermined risk levels
5. Fighting the Trend
❌ Don't fade breakouts in strongly trending markets
✅ Align trades with overall market direction
Daily Trading Routine
Pre-Market (8:00-9:30 AM)
Check overnight news and earnings
Review major indices (SPY, QQQ, IWM)
Identify potential opening range candidates
Set alerts for range breakouts
Market Open (9:30-10:00 AM)
Watch opening range formation
Note volume and price action quality
Mark key levels on charts
Prepare for breakout signals
Trading Session (10:00 AM - 4:00 PM)
Execute breakout strategies
Manage existing positions
Trail stops as profits develop
Look for additional setups
Post-Market Review
Analyze winning and losing trades
Review range quality vs. outcomes
Identify improvement areas
Prepare for next session
Best Stocks/ETFs for Opening Range Trading
Large Cap Stocks (Best for beginners):
AAPL, MSFT, GOOGL, AMZN, TSLA
High liquidity, predictable behavior
Good range formation most days
ETFs (Consistent patterns):
SPY, QQQ, IWM, XLF, XLE
Excellent liquidity
Clear range boundaries
Mid-Cap Growth (Advanced traders):
Stocks with good volume (1M+ shares daily)
Recent news catalysts
Clean technical patterns
Performance Optimization
Track These Metrics:
Win rate by range type (OR5 vs OR15 vs OR30)
Average R/R (risk vs reward ratio)
Best performing market conditions
Time of day performance
Continuous Improvement:
Keep detailed trade journal
Review failed breakouts for patterns
Adjust position sizing based on win rate
Refine entry timing based on backtesting
Final Tips for Success
Start small - Paper trade or use tiny positions initially
Focus on quality - Better to miss trades than take bad ones
Stay disciplined - Stick to your rules even during losing streaks
Adapt to conditions - What works in trending markets may fail in choppy conditions
Keep learning - Markets evolve, so should your approach
The opening range strategy is powerful because it captures natural market behavior, but like all strategies, it requires practice, discipline, and proper risk management to be profitable long-term.
Drawdown RangeHello death eaters, presenting a unique script which can be used for fundamental analysis or mean reversion based trades.
Process of deriving this table is as below:
Find out ATH for given day
Calculate the drawdown from ATH for the day and drawdown percentage
Based on the drawdown percentage, increment the count of basket which is based on input iNumber of ranges . For example, if number of ranges is 5, then there will be 5 baskets. First basket will fit drawdown percentage 0-20% and each subsequent ones will accommodate next 20% range.
Repeat the process from start to last bar. Once done, table will plot how much percentage of days belong to which basket.
For example, from the below chart of NASDAQ:AAPL
We can deduce following,
Historically stock has traded within 1% drawdown from ATH for 6.59% of time. This is the max amount of time stock has stayed in specific range of drawdown from ATH.
Stock has traded at the drawdown range of 82-83% from ATH for 0.17% of time. This is the least amount of time the stock has stayed in specific range of drawdown from ATH.
At present, stock is trading 2-3% below ATH and this has happened for about 2.46% of total days in trade
Maximum drawdown the stock has suffered is 83%
Lets take another example of NASDAQ:TSLA
Stock is trading at 21-22% below ATH. But, historically the max drawdown range where stock has traded is within 0-1%. Now, if we make this range to show 20 divisions instead of 100, it will look something like this:
Table suggests that stock is trading about 20-25% below ATH - which is right. But, table also suggests that stock has spent most number of days within this drawdown range when we divide it by 20 baskets instad of 100. I would probably wait for price to break out of this range before going long or short. At present, it seems a stage ranging stage. I might think about selling PUTs or covered CALLs outside this range.
Similarly, if you look at AMEX:SPY , 36% of the time, price has stayed within 5% from ATH - makes it a compelling bull case!!
NYSE:BABA is trading at 50-55% below ATH - which is the most it has retraced so far. In general, it is used to be within 15-20% from ATH
NOW, Bit of explanation on input options.
Number of Ranges : Says how many baskets the drawdown map needs to be divided into.
Reference : You can take ATH as reference or chose a time window between which the highest need to be considered for drawdown. This can be useful for megacaps which has gone beyond initial phase of uncertainity. There is no point looking at 80% drawdown AAPL had during 1990s. More approriate to look at it post 2000s where it started making higher impact and growth.
Cumulative Percentage : When this is unchecked, percentage division shows 0-nth percentage instad of percentage ranges. For example this is how it looks on SPY:
We can see that SPY has remained within 6% from ATH for more than 50% of the time.
Hope this is helpful. Happy trading :)
PS: this can be used in conjunction with Drawdown-Price-vs-Fundamentals to pick value stocks at discounted price while also keeping an eye on range tendencies of it.
Thanks to @mattX5 for the ideas and discussion today :)
Dynamic Range EvaluatorThe Dynamic Range Evaluator script or indicator analyzes the dynamic movement of price ranges in the market, offering several key advantages:
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1. Identifies Market Volatility
It detects when price ranges expand or contract, helping traders gauge the market's current volatility—whether it is highly volatile (wide range) or calm (narrow range).
2. Adapts Strategies Based on Market Conditions
The script allows traders to implement suitable strategies:
Use Breakout strategies when the range expands.
Use Mean Reversion strategies when the price moves within a tight range.
3. Accurate Entry and Exit Points
By identifying dynamic price zones, it helps spot potential reversals or areas near key support/resistance levels, reducing the risk of poor entry decisions in unclear market phases.
4. Versatile Across Market Phases
Whether in a bullish, bearish, or sideways market, the Dynamic Range Evaluator adjusts smoothly to shifting conditions, minimizing the need for frequent modifications.
5. Effective Across Multiple Time Frames
It works well on both lower and higher time frames. For instance:
On lower time frames, it helps identify short-term trade entries/exits.
On higher time frames, it assists with analyzing broader trends.
6. Customizable Dynamic Parameters
Traders can modify range thresholds or evaluation criteria to suit specific asset classes or currency pairs, providing flexibility and improved accuracy.
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Use Cases
Combine with ATR (Average True Range) to identify optimal average ranges.
Align Take Profit / Stop Loss levels with current market ranges.
Integrate with Breakout Strategies by monitoring for range expansion and waiting for key support/resistance breakouts.
Percentage Range Consolidation HistogramThe Percentage Range Consolidation histogram is a measure of volatility, ranking current price range compared to past ranges.
🟩 USAGE
Here there are 2 heavy contractions of price shown on chart that lead to a big rally. Shows a possible way to approach trading this. Take into account that this is for illustration purposes only and these entry methods have not been tested for long term profitability.
Same price behaviour.
🟩 CALCULATION
The script will use 3 different ranges all configurable by the user to check for low volatility on different zone lengths . On default zone 1 will be 10 period, 2 will be 30 period and 3 is 50 periods long.
It will then measure the percentage these ranges have from top (highest close) to bottom (lowest close) and plot those numbers as 3 gray histograms.
For each of these histograms separately it will use 'percentage zone PNR Length setting' as a lookback to rank current zone percentage compared to past results.
How it will do that is using the 'percentage zone PNR % setting' it will draw a line using ta.percentile_nearest_rank() formula. At default this is 20% meaning that only 20% of lookback values where below this level.
When the histogram is below this white line (small range compared to past ranges) it will color the histogram. Yellow for zone 1, orange for zone 2 and blue for zone 3.
There is also a 'Percentage zone % filter' which you can use as a maximum % current zone for it to be considered a small range. On default this is set to 15%. You can turn this off by selecting 'median' as 'Consolidation filters' instead of 'all' . Or only use this by selecting 'percentage'
🟩 BAR COLORING
Now that you understand how to find small ranges (contractions of price) with the indicator there is a bar coloring option in the indicator.
You can select how many of the 3 zones have to be ranging for it to color the bar. On default this is set to 3 so the script will only color when price is in a very small range. As illustrated by the above charts these can lead to the beginnings of big trends.
[TTM] ICT Sessions & Ranges🌟 Overview 🌟
The ICT Sessions & Ranges Indicator helps traders identify key intraday price levels by marking custom session highs/lows and opening ranges.
It helps traders spot potential liquidity grabs, reversals, and breakout zones by tracking price behavior around these key areas
🌟 Session Highs & Lows – Liquidity Zones 🌟
Session highs and lows often attract price due to stop orders resting above or below them. These levels are frequently targeted during high-volatility moves.
🔹 Asia Session
- Usually ranges in low volatility.
- Highs/lows often get swept during early London.
- Price may raid these levels, then reverse.
🔹 London Session
- First major volatility of the day.
- Highs/lows often tested or swept in New York.
- Commonly forms the day’s true high or low.
🌟 Opening Range Concepts 🌟
The Opening Range is the first 15, 30, or 60 minutes of a session (e.g., New York).
The high (ORH) and low (ORL) define the market’s initial balance and key reaction levels.
🔹 Breakout Trade
- Price breaks ORH/ORL with momentum.
- Signals directional intent.
- Traders enter on the breakout, with stops inside the range.
🔹 Liquidity Raid
- Price briefly breaks ORH/ORL to trigger stops.
- Reverses after the sweep.
- Look for structure shift and entry near FVG or OB.
🌟 Customizable Settings 🌟
The indicator includes 3 configurable ranges , each with:
Start & End Time – Set any custom time window.
Display Type – Choose Box (highlight range) or Lines (mark high/low).
Color Settings – Set custom colors for boxes and lines.
🌟 Default Settings 🌟
Range 1 : 19:00–00:00 (Asia Session)
Range 2 : 01:45–05:15 (London Session)
Range 3 : 09:30–10:00 (NY Opening Range – 30m)
IU Range Trading StrategyIU Range Trading Strategy
The IU Range Trading Strategy is designed to identify range-bound markets and take trades based on defined price ranges. This strategy uses a combination of price ranges and ATR (Average True Range) to filter entry conditions and incorporates a trailing stop-loss mechanism for better trade management.
User Inputs:
- Range Length: Defines the number of bars to calculate the highest and lowest price range (default: 10).
- ATR Length: Sets the length of the ATR calculation (default: 14).
- ATR Stop-Loss Factor: Determines the multiplier for the ATR-based stop-loss (default: 2.00).
Entry Conditions:
1. A range is identified when the difference between the highest and lowest prices over the selected range is less than or equal to 1.75 times the ATR.
2. Once a valid range is formed:
- A long trade is triggered at the range high.
- A short trade is triggered at the range low.
Exit Conditions:
1. Trailing Stop-Loss:
- The stop-loss adjusts dynamically using ATR targets.
- The strategy locks in profits as the trade moves in your favor.
2. The stop-loss and take-profit levels are visually plotted for transparency and easier decision-making.
Features:
- Automated box creation to visualize the trading range.
- Supports one position at a time, canceling opposite-side entries.
- ATR-based trailing stop-loss for effective risk management.
- Clear visual representation of stop-loss and take-profit levels with colored bands.
This strategy works best in markets with defined ranges and can help traders identify breakout opportunities when the price exits the range.
Monday_Weekly_Range/ErkOzi/Deviation Level/V1"Hello, first of all, I believe that the most important levels to look at are the weekly Fibonacci levels. I have planned an indicator that automatically calculates this. It models a range based on the weekly opening, high, and low prices, which is well-detailed and clear in my scans. I hope it will be beneficial for everyone.
***The logic of the Monday_Weekly_Range indicator is to analyze the weekly price movement based on the trading range formed on Mondays. Here are the detailed logic, calculation, strategy, and components of the indicator:
***Calculation of Monday Range:
The indicator calculates the highest (mondayHigh) and lowest (mondayLow) price levels formed on Mondays.
If the current bar corresponds to Monday, the values of the Monday range are updated. Otherwise, the values are assigned as "na" (undefined).
***Calculation of Monday Range Midpoint:
The midpoint of the Monday range (mondayMidRange) is calculated using the highest and lowest price levels of the Monday range.
***Fibonacci Levels:
// Calculate Fibonacci levels
fib272 = nextMondayHigh + 0.272 * (nextMondayHigh - nextMondayLow)
fib414 = nextMondayHigh + 0.414 * (nextMondayHigh - nextMondayLow)
fib500 = nextMondayHigh + 0.5 * (nextMondayHigh - nextMondayLow)
fib618 = nextMondayHigh + 0.618 * (nextMondayHigh - nextMondayLow)
fibNegative272 = nextMondayLow - 0.272 * (nextMondayHigh - nextMondayLow)
fibNegative414 = nextMondayLow - 0.414 * (nextMondayHigh - nextMondayLow)
fibNegative500 = nextMondayLow - 0.5 * (nextMondayHigh - nextMondayLow)
fibNegative618 = nextMondayLow - 0.618 * (nextMondayHigh - nextMondayLow)
fibNegative1 = nextMondayLow - 1 * (nextMondayHigh - nextMondayLow)
fib2 = nextMondayHigh + 1 * (nextMondayHigh - nextMondayLow)
***Fibonacci levels are calculated using the highest and lowest price levels of the Monday range.
Common Fibonacci ratios such as 0.272, 0.414, 0.50, and 0.618 represent deviation levels of the Monday range.
Additionally, the levels are completed with -1 and +1 to determine at which level the price is within the weekly swing.
***Visualization on the Chart:
The Monday range, midpoint, Fibonacci levels, and other components are displayed on the chart using appropriate shapes and colors.
The indicator provides a visual representation of the Monday range and Fibonacci levels using lines, circles, and other graphical elements.
***Strategy and Usage:
The Monday range represents the starting point of the weekly price movement. This range plays an important role in determining weekly support and resistance levels.
Fibonacci levels are used to identify potential reaction zones and trend reversals. These levels indicate where the price may encounter support or resistance.
You can use the indicator in conjunction with other technical analysis tools and indicators to conduct a more comprehensive analysis. For example, combining it with trendlines, moving averages, or oscillators can enhance the accuracy.
When making investment decisions, it is important to combine the information provided by the indicator with other analysis methods and use risk management strategies.
Thank you in advance for your likes, follows, and comments. If you have any questions, feel free to ask."
ATR: Body % + Ranges and AnomaliesATR: Body % + Ranges and Anomalies
This indicator provides a dual analysis of price bars to help you better understand market dynamics and volatility. It combines two powerful concepts into one tool: a candle body percentage and a range analysis with an anomaly-excluding average.
Key Features:
1. Candle Body Percentage
This feature plots the size of the candle's body as a percentage of its total high-low range.
A high percentage (e.g., above the 50% gray line) indicates strong, directional movement. The more solid the body is relative to its wicks, the more conviction is behind that move.
The 100% red line marks "Marubozu" candles—bars with no wicks, showing absolute control by buyers or sellers.
2. Range Analysis with Anomalies
This is a unique part of the indicator that helps you identify and understand normal vs. abnormal volatility.
Custom SMA: It calculates an average range of the last N bars, but it smartly excludes "anomalous" bars (spikes or unusually small ranges) from the calculation. This gives you a more reliable baseline for normal volatility.
Anomaly Detection: Bars are colored differently based on their range:
Blue: Small anomalies (range less than 0.5 * ATR). These often occur during periods of low liquidity or indecision.
Red: Large anomalies (range greater than 1.8 * ATR). These can signal a sudden burst of volatility, breakout events, or capitulation.
ATR Range % Label: The label on the chart shows the current bar's range as a percentage of the custom SMA. This tells you how much larger or smaller the current bar's range is compared to a clean average.
How to Use:
Spotting Trends: Use the Body % to confirm the strength of a trend. A series of bars with high body percentages can indicate a strong, healthy trend.
Identifying Volatility: Use the Range Analysis to find areas of interest. A large red anomaly bar could signal a significant event, while a series of blue anomalies might suggest the market is in a tight consolidation before a breakout.
Contextual Analysis: The combination of these tools can provide powerful context. For example, a bar with a high Body % and a red anomaly color suggests a strong, volatile move that could be a turning point or the start of a major trend.
Experiment with the input settings to fine-tune the ATR and SMA periods for different timeframes and assets.
Curved Trend Channels (Zeiierman)█ Overview
Curved Trend Channels (Zeiierman) is a next-generation trend visualization tool engineered to adapt dynamically to both linear and non-linear market behavior. It introduces a novel curvature-based channeling system that grows over time during trending conditions, mirroring the natural acceleration of price trends, while simultaneously leveraging adaptive range filtering and dual-layer candle trend logic.
This tool is ideal for traders seeking smooth yet reactive dynamic channels that evolve with market structure. Whether used in curved mode or traditional slope mode, it provides exceptional clarity on trend transitions, volatility compression, and breakout development.
█ How It Works
⚪ Adaptive Range Filter Foundation
The core of the system is a volatility-based range filter that determines the underlying structure of the bands:
Pre-Smoothing of High/Low Data – Highs and lows are smoothed using a selectable moving average (SMA, EMA, HMA, KAMA, etc.) before calculating the volatility range.
Volatility Envelope – The range is scaled using a fixed factor (2.618) and further adjusted by a Band Multiplier to form the primary envelope around price.
Smoothed Volatility Curve – Final bands are stabilized using a long lookback, ensuring clean visual structure and trend clarity.
⚪ Curved Channel Logic
In Curved Mode, the trend channel grows over time when the trend direction remains unchanged:
Base Step Size (× ATR) – Sets the minimum unit of slope change.
Growth per Bar (× ATR) – Defines the acceleration rate of the channel slope with time.
Trend Persistence Recognition – The longer a trend persists, the more pronounced the slope becomes, mimicking real market accelerations.
This dynamic, time-dependent logic enables the channel to "curve" upward or downward, tracking long-standing trends with increasing confidence.
⚪ Trend Slope
As an alternative to curved logic, traders can activate a regular Trend slope using:
Slope Length – Determines how quickly the trend line adapts to price shifts.
Multiplicative Factor – Amplifies the sensitivity of the slope, useful in fast-moving markets or lower timeframes.
⚪ Candle Trend Confirmation
A robust second-layer trend detection method, the Candle Trend System evaluates directional pressure by analyzing smoothed price action:
Multi-tier Smoothing – Trend lines are derived from short-, medium-, and long-term candle movement.
█ How to Use
⚪ Trend Identification
When the Trend Line direction and Candle Colors are in agreement, this indicates strong, persistent directional conviction. Use these moments to enter with trend confirmation and manage risk more confidently.
⚪ Retest
During ongoing trends, the price will often pull back into the dynamic channel. Look for:
Support/resistance interactions at the upper or lower bands.
█ Settings
Scaled Volatility Length – Controls the historical depth used to stabilize the volatility bands.
Smoothing Type – Choose from HMA, KAMA, VIDYA, FRAMA, Super Smoother, etc. to match your asset and trading style.
Volatility MA Length – Smoothing length for the calculated range; shorter = more reactive.
High/Low Smoother Length – Additional smoothing to reduce noise from spikes or false pivots.
Band Multiplier – Widens or tightens the band range based on personal preference.
Enable Curved Channel – Toggle between curved or regular trend slope behavior.
Base Step (× ATR) – The starting point for curved slope progression.
Growth per Bar (× ATR) – How much the slope accelerates per bar during a sustained trend.
Slope – Reactivity of the standard trend line to price movements.
Multiplicative Factor – Sensitivity adjustment for HyperTrend slope.
Candle Trend Length – Lookback period for trend determination from candle structure.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
