OTT Volatility [RunRox]📊 OTT Volatility is an indicator developed by the RunRox team to pinpoint the most optimal time to trade across different markets.
OTT stands for Optimal Trade Time Volatility and is designed primarily for markets without a fixed trading session, such as cryptocurrencies that trade 24/7. At the same time, it works equally well on any other market.
🔶 The concept is straightforward. The indicator takes a specified number of historical periods (Samples) and statistically evaluates which hours of the day or which days show the highest volatility for the selected asset.
As a result, it highlights time windows with elevated volatility where traders can focus on searching for trade setups and building positions.
🔶 As the core volatility metric, the indicator uses ATR (Average True Range) to measure intraday volatility. Then it calculates the average ATR value over the last N Samples, creating a statistically stable estimate of typical volatility for the selected asset.
🔶 Statistically, during these highlighted periods the market shows higher-than-average volatility.
This means that in these time windows price is more likely to be subject to stronger moves and potential manipulation, making them attractive for active trade execution and position management.
⚠️ However, historical behavior does not guarantee future results.
These periods should be treated only as zones where volatility has a higher probability of being above normal, not as a promise of movement.
As shown in the screenshot above, the indicator also projects potential future volatility based on historical data. This helps you better plan your trading hours and align your activity with periods where volatility is statistically expected to be higher or lower.
🔶 Current Volatility – as shown in the screenshot above, you can also monitor the real-time volatility of the market without any statistical averaging.
On top of that, you can overlay the current volatility on top of the statistical volatility levels, which makes it easy to see whether the market is now trading in a high- or low-volatility regime relative to its usual behavior.
4 display modes – you can choose any visualization style that fits your trading workflow:
Absolute – displays the raw volatility values.
Relative – shows volatility relative to its typical levels.
Average Centered – centers volatility around its average value.
Trim Low Value – filters out low-volatility noise and highlights only more significant moves.
This indicator helps you define the most effective trading hours on any market by relying on historical volatility statistics.
Use it to quickly see when your market tends to be more active and to structure your trading sessions around those periods.
✅ We hope this tool becomes a useful part of your trading toolkit and helps you improve the quality of your decisions and timing.
Statistics
BTST Stats BTST Statistical Edge Analyzer — VCR · Volume · SMA · RSI Filtered
This indicator isn’t a trading signal generator.
It’s a research framework designed to answer a simple but valuable question:
“Does Buy-Today-Sell-Tomorrow (BTST) have statistical edge under specific market conditions?”
Most traders assume BTST works because they feel markets gap.
This script measures whether that belief holds true — and under what filters.
🔍 What the Indicator Does
For each bar, the script simulates a BTST trade:
Entry: previous bar’s close
Exit: current bar’s open
Result: Open(next day) − Close(previous day)
But a BTST trade is only counted if the entry bar satisfies the filter logic.
🎯 Entry Filters You Can Tune
A trade is included only if ALL activated conditions are satisfied:
Filter Rule
VCR Filter Candle volatility ratio must exceed threshold: `(High−Low) /
Volume Filter Volume must be greater than n × AverageVolume
SMA Trend Filter (Optional) Close must be above a user-selected SMA length
RSI Condition (Optional) RSI must be between a user-defined min/max band
This allows testing BTST under different volatility, trend, and momentum conditions.
📊 What the Table Shows
For all qualifying trades inside the chosen lookback window, the indicator displays:
Metric Meaning
Profitable Trades Count of BTST trades with positive overnight return
Losing Trades Count of negative overnight returns
Avg Profit Average upside gain on winner trades
Avg Loss Average downside loss on losing trades
Avg Net per Trade Overall expectancy across all trades
Avg High After Entry Average maximum price movement above entry (potential upside)
Avg Low After Entry Average price movement against the entry (risk exposure)
Winner-Only High/Low Stats How far good trades move and how much heat they take
Loser-Only High/Low Stats How bad trades behave, including early fake-outs
Together, these reveal:
Opportunity potential
Risk exposure
Whether trades behave cleanly or chaotically
Whether exits are leaving money on the table
🧠 Why This Matters
BTST edges change drastically across:
Market regimes
Trend direction
Volatility clusters
Earnings cycles
Volume surges
This tool helps identify when BTST should be traded — and when it should be avoided entirely.
Rather than guessing, traders can:
Validate if their BTST assumptions hold,
Apply filters until the expectancy improves,
Rank symbols and conditions where the system performs best.
🚫 Not a Buy/Sell Indicator
This script does not place arrows, signals, alerts, or entries.
It exists for analysis and system development, not live execution.
Use it to:
Build ideas
Validate hypotheses
Compare symbols
Optimize BTST frameworks
Decide if BTST belongs in your playbook — or in the trash
🔧 Who This Is For
✔ System traders
✔ Quant-minded traders
✔ Options/Index traders who rely on gaps
✔ Swing traders testing overnight holds
✔ Developers building automated BTST logic
Final Thought
BTST isn’t magic — it’s just a behavior pattern.
Some markets reward it.
Some punish it.
Some reward it only under the right volatility and volume conditions.
This tool tells you which is which.
BTC ETF Flow Monitor🚀 Bitcoin ETF Flow Monitor - Track Institutional Money Flows
Monitor real-time dollar flows across major Bitcoin ETFs with this professional-grade indicator inspired by Dune Analytics. Perfect for tracking institutional sentiment and Bitcoin adoption trends.
📊 Key Features: • Real Dollar Flows : Display actual estimated flows in millions USD, not abstract indices
• 5 Major ETFs : IBIT (BlackRock), FBTC (Fidelity), ARKB (ARK), BITB (Bitwise), GBTC (Grayscale)
• Dune Analytics Style : Clean, professional visualization with meaningful thresholds
• Smart Alerts : Get notified of significant flow changes and BTC price divergences
• Enhanced Summary Table : Live stats including total flows, trends, and market sentiment
💡 How It Works: Combines volume, price action, and momentum to estimate institutional dollar flows. Positive values = inflows (buying pressure), negative values = outflows (selling pressure). Scale shows millions of USD for easy interpretation.
🎯 Perfect For:
- Tracking institutional Bitcoin adoption
- Identifying accumulation/distribution phases
- Spotting divergences between ETF flows and BTC price
- Understanding market sentiment shifts
⚡ Professional Grade: Built with advanced Pine Script techniques, optimized performance, and real-world trading applications in mind.
Trend Continuation [OmegaTools]Trend Continuation is a trend-following and trend-continuation tool designed to highlight high-probability pullbacks within an existing directional bias. It helps discretionary and systematic traders visually isolate “continuation zones” where a retracement is more likely to resolve in favor of the prevailing trend rather than trigger a full reversal.
1. Concept and Objective
The indicator combines two key components:
1. A trend bias engine (based either on a Rolling VWAP regime or on swing market structure).
2. A pullback pressure model, which quantifies how deep and “aggressive” the recent retracement has been relative to the trend.
The goal is to identify moments where the market pulls back against the trend, builds enough “reversal pressure,” and then shows signs that the trend is likely to **continue** rather than flip. When specific conditions are met, the indicator highlights bars and plots reference levels that can be used as potential continuation zones, filters, or confluence areas in a broader trading plan.
2. Trend Bias Modes
The primary trend direction is defined through the `Trend Mode` input:
* **RVWAP Mode (default)**
The script computes two rolling volume-weighted average prices over different lengths:
* A **shorter-term rolling VWAP**
* A **longer-term rolling VWAP**
When the shorter RVWAP is above the longer one, the bias is set to **bullish (+1)**. When it is below, the bias is **bearish (-1)**.
This creates a smooth, volume-weighted trend definition that tends to adapt to shifting regimes and filters out minor noise.
* **Market Structure Mode**
In this mode, trend bias is derived from **pivot highs and lows**:
* When price breaks above a recent pivot high, the bias flips to **bullish (+1)**.
* When price breaks below a recent pivot low, the bias flips to **bearish (-1)**.
This approach is more structurally oriented and reacts to significant swing breaks rather than just moving-average style relationships.
If no clear condition is met, the internal bias can temporarily be neutral, though the main design assumes working with clearly bullish or bearish environments.
3. Pullback and Reversal Pressure Logic
Once the trend bias is defined, the indicator measures **pullback intensity** against that trend:
* A **lookback window (“Pullback Length”)** scans recent highs and lows:
* In an uptrend, it tracks the **highest high** over the window and measures how far the current low pulls back from that high.
* In a downtrend, it tracks the **lowest low** and measures how far the current high bounces up from that low.
* This distance is converted into a **“reversal pressure” value**:
* In a bullish bias, deeper pullbacks (lower lows relative to the recent high) indicate stronger counter-trend pressure.
* In a bearish bias, stronger rallies (higher highs relative to the recent low) indicate stronger counter-trend pressure.
The raw reversal pressure is then smoothed with a long-term moving average to separate normal retracements from **statistically significant extremes**.
4. Thresholds and Histogram Coloring
To avoid reacting to every minor pullback, the indicator builds a **dynamic threshold** using a combination of:
* Long-term averages of reversal pressure.
* Standard deviation of reversal pressure.
* High-percentile values of reversal behavior over different sample sizes.
From this, a **threshold line** is derived, and the script then compares the current reversal pressure to this adaptive level:
* The **Reversal Histogram** (column plot) represents the excess reversal pressure above its own long-term average.
* When:
* There is a valid bullish or bearish bias, and
* The histogram is above the dynamic threshold,
the bars of the histogram are **colored**:
* Blue (or a similar “positive” color) in bullish bias.
* Red/pink (or a similar “negative” color) in bearish bias.
* When reversal pressure is below threshold or bias is not relevant, the histogram remains **neutral gray**.
These colored histogram segments represent **“high-tension” pullback states**, where counter-trend pressure has reached an extreme that, historically, often resolves with the original trend continuing rather than fully reversing.
5. Continuation Level and Bar Coloring on Price Chart
To connect the oscillator logic back to the chart:
* A **continuation reference level** is computed on the price series:
* In an uptrend, this is derived by subtracting the threshold from recent highs.
* In a downtrend, it is derived by adding the threshold to recent lows.
* This level is plotted as a **line on the price chart** (only when the trend bias is stable), acting as a visual guide for:
* Potential continuation zones,
* Possible stop-placement or invalidation areas,
* Or filters for entries/exits.
The bars are then **colored** when price crosses or interacts with these levels in the direction of the trend:
* In a bullish bias, bars closing below the continuation level can be highlighted as potential **deep pullback/continuation opportunities** or as warning signals, depending on the user’s playbook.
* In a bearish bias, bars closing above the continuation level are similarly highlighted.
This makes it easy to see where the oscillator’s “extreme pullback” conditions align with structural movements on the actual price bars.
6. Embedded Win-Rate Estimation (WR Table)
The script also includes an internal **win-rate style metric (WR%)** displayed in a small table on the chart:
* It tracks occurrences where:
* A valid bullish or bearish bias is present, and
* The Reversal Histogram is **above the threshold** (i.e., histogram is colored).
* It then approximates the **probability that the trend bias does not change** following such high-pressure pullback events.
* The WR value is shown as a percentage and represents, in essence, the **historical trend-continuation rate** under these specific conditions over the most recent sample of events.
This is not a formal statistical test and does not guarantee future performance, but it provides a quick visual indication of how often these continuation setups have led to **trend persistence** in the recent past.
7. How to Use in Practice
Typical applications include:
Trend-following entries on pullbacks
Identify the main trend using either RVWAP or Market Structure mode.
Wait for a colored histogram bar (reversal pressure above threshold).
Use the continuation reference line and bar coloring on the price chart to refine entry zones or invalidation levels.
Filtering signals from other systems
Run the indicator in the background to confirm trend continuation conditions before taking signals from another strategy (e.g., breakouts or momentum entries).
Only act on long signals when the bias is bullish and a high-pressure pullback has recently occurred; similarly for short signals in bearish conditions.
Risk management and trend monitoring
Monitor when reversal pressure is building against your current position.
Use shifts in bias combined with high reversal pressure to re-evaluate or scale out of trend-following trades.
Recommended steps:
1. Choose your Trend Mode:
- RVWAP for smoother, regime-style trend detection.
- Market Structure for swing-based structural changes.
2. Adjust Trend Length and Pullback Length to match your timeframe (shorter for intraday, longer for swing/position trading).
3. Observe where histogram colors appear and how price reacts around the continuation line and highlighted bars.
4. Integrate these signals into a pre-defined trading plan with clear entry, exit, and risk rules.
8. Limitations and Disclaimer
* This tool is a **technical analysis aid**, not a complete trading system.
* Past behavior of trend continuation or reversal pressure does **not** guarantee future results.
* The embedded WR metric is a **descriptive statistic** based on recent historical conditions only; it is not a promise of performance or a robust statistical forecast.
* All parameters (lengths, thresholds, modes) are user-configurable and should be **tested and validated** on your own data, instruments, and timeframes before any live use.
Disclaimer
This indicator is provided for informational and educational purposes only and does not constitute financial, investment, or trading advice. Trading and investing in financial markets involve substantial risk, including the possible loss of all capital. You are solely responsible for your own trading decisions and for evaluating all information provided by this tool. OmegaTools and the author of this script expressly disclaim any liability for any direct or indirect loss resulting from the use of this indicator. Always consult with a qualified financial professional before making any investment decisions.
Seasonality Calculation Tool by Luis TrompeterThe Seasonality Calculation Tool is designed to analyze and evaluate the strength of any seasonal pattern detected by the Seasonality Indicator.
While the Seasonality Indicator displays the historical seasonal curve, this tool goes one step further by examining how reliable and consistent that curve truly is.
The tool checks whether a seasonal pattern is strong, distorted by a few outlier years, or statistically meaningful. It calculates the average return within the selected seasonal window and highlights how accurate or robust the pattern has been over the evaluated period.
To support manual confirmation and deeper analysis, the tool also visualizes the seasonal windows directly on the chart. This allows traders to review past occurrences and backtest the pattern themselves to validate the quality of the signal.
The Seasonality Calculation Tool is an ideal complement to the main Seasonality Indicator, helping traders identify high-quality, data-driven seasonal tendencies and avoid misleading or weak seasonal patterns.
Usage
This script is intended to be used exclusively on the daily timeframe, as all calculations rely on daily candle data.
The settings are intuitive and easy to adjust, allowing users to quickly evaluate any seasonal window displayed by the Seasonality Indicator.
Auto Seasonality Scanner by Luis TrompeterThe Auto Seasonality Scanner automatically detects seasonal patterns by scanning a user-defined number of past years (e.g., the last 10 years).
Based on this historical window, the indicator identifies the strongest seasonal tendency for the currently selected date range.
The scanner evaluates all valid seasonal windows using two filters:
• Hit Rate – the percentage of profitable years
• Average Return – the highest mean performance across the analyzed period
The best-scoring seasonal setup is displayed directly on the chart, including the exact start and end dates of the identified pattern for the chosen time range.
Users can define the period they want to analyze, and the indicator will automatically determine which seasonal window performed best over the selected history.
Recommended Settings (Standard Use)
For optimal and consistent results, the following settings are recommended:
• Search Window: 20–30
• Minimum Length: 5
• Time Period: from 2015 onward
• US Election Cycle: All Years
These settings provide a balanced and reliable baseline to detect meaningful seasonal tendencies across markets.
This indicator helps traders understand when recurring seasonal patterns typically occur and how they may align with ongoing market conditions.
Timeframe Requirement
This indicator is intended to be used exclusively on the daily timeframe, as all calculations are based on daily candles.
Using it on lower timeframes may result in inaccurate or misleading seasonal readings.
BTC -50% Crash to Recovery ZoneGeneral Overview This is a macro-analysis tool designed to visualize the true duration of Bitcoin’s "Suffering & Recovery Cycles." Unlike standard oscillators that only signal oversold conditions, this script highlights the entire timeline required for the market to flush out leverage and return to All-Time Highs (ATH).
Operational Logic The algorithm tracks Bitcoin’s historical All-Time High (ATH).
The Trigger: It activates automatically when the price drops 50% below the last recorded ATH.
The "Recovery Zone": Once triggered, the chart background turns red (indicating a "Drawdown" state). This zone remains active persistently, even during intermediate relief rallies.
The Reset: The zone deactivates only when the price breaks above the previous ATH, marking the official start of a new Price Discovery phase.
How to Read It
Red Background: We are officially in a Bear Market or Recovery Phase. The asset is technically "underwater." For the long-term investor with a low time preference, this visually defines the accumulation window.
Red Horizontal Line: Indicates the "Target." This is the exact price level of the old ATH that Bitcoin must reclaim to close the bearish cycle.
No Background Color: We are in Price Discovery. The market is healthy and pushing for new highs.
The Financial Lesson This indicator visually demonstrates a fundamental market truth: "Price takes the elevator down, but takes the stairs up." It shows that after a halving of value (-50%), Bitcoin may take months or years to recover previous levels, helping investors filter out the noise of short-term pumps that fail to break the macro-bearish structure.
RSI Driven ATR Trend [NeuraAlgo]
RSI Driven ATR Trend
Dynamic Trend Detection and Strength Analysis
Unlock the market’s hidden rhythm with the RSI Driven ATR Trend , a sophisticated tool designed to measure trend direction and strength using a combination of RSI momentum and ATR-based volatility . This indicator provides real-time insights into bullish and bearish phases, helping traders identify potential turning points and optimize entry and exit decisions.
1.Core In Logic:
Dynamically calculates trend levels based on RSI and ATR interactions.
Highlights trend direction with intuitive color coding: green for bullish, red for bearish.
Displays trend strength as a percentage to quantify momentum intensity.
Automatic visual cues for potential trend reversals with “Turn Up” and “Turn Down” labels.
Advanced smoothing and dynamic gating ensure responsive yet stable trend detection.
Compatible with all timeframes and instruments.
2.Inputs Explained:
Rsi Factor: Adjusts the sensitivity of the RSI in trend calculation. Higher values make the trend detection more responsive to momentum changes.
Multiplier: Multiplies the effect of Rsi Factor to fine-tune trend responsiveness.
Bar Back: Number of bars used for peak and dip calculations, determining how far back the indicator looks for trend changes.
Period: Lookback period used in trend gating and ATR calculations.
Source: Price source for calculations (default is close).
Main Colors: Customize bullish and bearish trend colors.
3.How it Works:
The indicator calculates RSI values and ATR-based dynamic ranges to determine upper and lower trend levels.
Trend direction is determined by price crossing above (bullish) or below (bearish) the dynamic trend line.
Trend strength is expressed as a percentage relative to the trend line, helping you assess momentum intensity.
Visual cues like "Turn Up" and "Turn Down" labels indicate potential trend reversals.
Bars are colored dynamically based on trend direction for quick interpretation.
Ideal for traders seeking a clear, actionable view of market trends without the clutter of multiple indicators. RSI Driven ATR Trend translates complex price behavior into an easy-to-read visual guide, helping you make smarter trading decisions.
Happy Trading!
I4I Inside Vortex Strike RateThis indicator identifies what I call an "Inside Vortex": It's similar to a Doji but more strict in having to be inside a keltner and also have a lower ATR than a blended average.
The bar itself is not that special. But it indicates that a potential big move might come in the next 2 periods.
After the patter: It then looks at what I call the Market Maker High and Low: A % of a blended ATR. It then looks back 100-200 or more bars and calculates the overall strike % in history for the High and low after the pattern happens.
This allows us to know how often these levels are hit within the next 2 periods to find if we have any edge on spread, call or put prices or use them as targets.
So its:
Pattern:
Levels
Strike Rate.
Very unique and EXTREME useful. Especially for options traders.
smartAitrade Complete FocusTrendPajinko-SmartAiTrade Complete is an all-in-one price-action technical system designed for high-precision entries, intelligent trade management, and fully automated exit logic.
The system combines RSI swings, advanced divergence detection, ATR-based PJK Bands, smart retest logic, swing-break POI zones, trend filters (ADX), and automated breakeven/TP management into a single integrated indicator.
It is built to support traders who want structured, rule-based entries with minimal discretion, while still maintaining the flexibility of price-action behavior.
🔍 Core Components
1. RSI System
Standard RSI for overbought/oversold levels.
RSI Swing High/Low detection (using pivots).
Used for:
momentum confirmation
swing structure alignment
divergence detection filters
2. Advanced Divergence Engine
The indicator features a high-accuracy divergence module that detects:
• Bullish Divergence
Price makes a lower low
RSI makes a higher low
Pivot distances must fall within a valid bar-range
Optional filter: RSI must be in oversold zone
• Bearish Divergence
Price makes a higher high
RSI makes a lower high
Optional filter: RSI must be in overbought zone
You can choose to draw divergence lines on either:
RSI only
Price chart
Both
This system is optimized for low repaint and filters weak divergence signals.
3. ATR-Based PJK Bands System
A volatility-adaptive band system similar to Keltner/Bollinger hybrids:
Middle line uses SMA/EMA/VWMA
Upper/lower bands = middle ± ATR × multiplier
Bands detect:
momentum breakouts
band touch signals
high-probability reversal zones
Buy signal:
Price touches lower band and shifts upward
Sell signal:
Price touches upper band and shifts downward
4. Smart Retest System
After a momentum breakout or band touch signal:
A “smart retest zone” is created
The system waits for price to come back to the zone
If retest occurs within a user-defined timeout window, the signal is validated
Used to avoid chasing entries and reduce false breakouts
5. Swing Break & POI Zones
The indicator automatically detects price-swing structure:
Swing High Break → Sell POI box created
Swing Low Break → Buy POI box created
POI zones:
Represent potential liquidity pockets
Drawn with customizable height and width
Work as target areas or confirmation zones
6. ADX Trend Filter
ADX trend strength filter ensures signals are valid only when:
Trend strength > threshold (default 20)
Avoids signals in flat, low-volatility markets
7. Auto Trade Management (Breakeven System)
Fully automated exit logic:
TP1 distance set in pips
Once TP1 is reached → move Stop Loss to breakeven + offset
Additional option:
Close all open positions automatically when trend bias changes
Everything works even with multiple open trades.
8. Dashboard & Visual Interface
The indicator includes a clean dashboard showing:
Trend condition
RSI status
Advanced divergence status
Band and swing conditions
Active signals
Breakeven status
Total signals statistics
All visual components can be enabled/disabled individually.
🎯 Trading Philosophy
The system is built on three core principles:
1. Confirm Trend
ADX + ATR Bands define direction and strength.
2. Identify High-Probability Reversal or Continuation Zones
Smart Retest + Swing Structure + POI + Divergence.
3. Automate the Exit
Breakeven, TP1, and automatic closing keep emotions out of the decision.
COT Index by Luis TrompeterThe COT Index transforms the weekly COT net positions of Commercial traders into a normalized mathematical model.
Instead of displaying raw net positioning, the COT Index processes the data through a cyclical normalization algorithm (commonly using a 26-week or alternatively a 52-week cycle).
This makes it easier to identify bullish or bearish extremes in Commercial activity.
The index is plotted as a color-coded line:
• Green Zone – Commercials are mathematically classified as bullish.
Historically, bullish Commercial positioning often aligns with upward market pressure.
• Red Zone – Commercials are mathematically classified as bearish.
This typically corresponds with increased downward pressure in the underlying market.
• Neutral Zone – Neither bull nor bear dominance; positioning is mid-range.
Since COT data is published only once per week and the COT Index is built on cyclical multi-week analysis, the indicator is intended to be used exclusively on the weekly timeframe.
Using lower timeframes will not reflect the structure of the data accurately.
The selected cycle length (typically 26 weeks, optionally 52 weeks) determines how net positions are compared and normalized, and can influence how quickly extreme zones appear.
The COT Index provides an objective way to interpret Commercial trader sentiment and to identify potential directional bias in the market.
Volatility Signal-to-Noise Ratio🙏🏻 this is VSNR: the most effective and simple volatility regime detector & automatic volatility threshold scaler that somehow no1 ever talks about.
This is simply an inverse of the coefficient of variation of absolute returns, but properly constructed taking into account temporal information, and made online via recursive math with algocomplexity O(1) both in expanding and moving windows modes.
How do the available alternatives differ (while some’re just worse)?
Mainstream quant stat tests like Durbin-Watson, Dickey-Fuller etc: default implementations are ALL not time aware. They measure different kinds of regime, which is less (if at all) relevant for actual trading context. Mix of different math, high algocomplexity.
The closest one is MMI by financialhacker, but his approach is also not time aware, and has a higher algocomplexity anyways. Best alternative to mine, but pls modify it to use a time-weighted median.
Fractal dimension & its derivatives by John Ehlers: again not time aware, very low info gain, relies on bar sizes (high and lows), which don’t always exist unlike changes between datapoints. But it’s a geometric tool in essence, so this is fundamental. Let it watch your back if you already use it.
Hurst exponent: much higher algocomplexity, mix of parametric and non-parametric math inside. An invention, not a math entity. Again, not time aware. Also measures different kinds of regime.
How to set it up:
Given my other tools, I choose length so that it will match the amount of data that your trading method or study uses multiplied by ~ 4-5. E.g if you use some kind of bands to trade volatility and you calculate them over moving window 64, put VSNR on 256.
However it depends mathematically on many things, so for your methods you may instead need multipliers of 1 or ~ 16.
Additionally if you wanna use all data to estimate SNR, put 0 into length input.
How to use for regime detection:
First we define:
MR bias: mean reversion bias meaning volatility shorts would work better, fading levels would work better
Momo bias: momentum bias meaning volatility longs would work better, trading breakouts of levels would work better.
The study plots 3 horizontal thresholds for VSNR, just check its location:
Above upper level: significant Momo bias
Above 1 : Momo bias
Below 1 : MR bias
Below lower level: significant MR bias
Take a look at the screenshots, 2 completely different volatility regimes are spotted by VSNR, while an ADF does not show different regime:
^^ CBOT:ZN1!
^^ INDEX:BTCUSD
How to use as automatic volatility threshold scaler
Copy the code from the script, and use VSNR as a multiplier for your volatility threshold.
E.g you use a regression channel and fade/push upper and lower thresholds which are RMSEs multiples. Inside the code, multiply RMSE by VSNR, now you’re adaptive.
^^ The same logic as when MM bots widen spreads with vola goes wild.
How it works:
Returns follow Laplace distro -> logically abs returns follow exponential distro , cuz laplace = double exponential.
Exponential distro has a natural coefficient of variation = 1 -> signal to noise ratio defined as mean/stdev = 1 as well. The same can be said for Student t distro with parameter v = 4. So 1 is our main threshold.
We can add additional thresholds by discovering SNRs of Student t with v = 3 and v = 5 (+- 1 from baseline v = 4). These have lighter & heavier tails each favoring mean reversion or momentum more. I computed the SNR values you see in the code with mpmath python module, with precision 256 decimals, so you can trust it I put it on my momma.
Then I use exponential smoothing with properly defined alphas (one matches cumulative WMA and another minimizes error with WMA in moving window mode) to estimate SNR of abs returns.
…
Lightweight huh?
∞
MarketSmith / MarketSurge Style VolumesPurpose
Emulates MarketSmith-style volume analysis in TradingView.
Focused on abnormal volume, institutional footprints, and volume vs. average.
Core Display
Plots a volume histogram with a volume moving average (daily or weekly length).
Optional truncation: caps bars at 2× average volume for cleaner scaling.
Bar colors:
Up/down based on current vs. previous close.
Optional special colour for low relative volume (10-bar lows).
Highest-Volume Logic (HVE / HV1)
Detects:
HVE – Highest Volume Ever.
HV1 – Highest Volume in Over a Year (252D / 52W / 12M).
Labels key peaks with:
“HVE” / “HV1” tags.
Optional shares traded (K/M/B) and % above volume MA.
Uses pivot logic over a configurable Peak Length to anchor volume peaks.
Current Bar Labels
On the latest bar, shows:
Formatted volume (K/M/B).
Volume buzz = % above/below average volume.
Buzz label colored green/red depending on positive or negative reading.
Volume Buzz & Trend Context
volBuzz = 100 * (vol / MA – 1) plotted as a separate series.
Highlights stretches of unusually high or low activity relative to the norm.
Up / Down Volume Ratio
Sums up-volume and down-volume over the last 50 bars.
Computes Up/Down Volume Ratio = sumUp / sumDn to gauge buying vs. selling pressure.
Info Table (Top-Right)
Optional small table showing:
Avg Volume (K/M/B).
Avg Dollar Volume (close × MA).
U/D Volume Ratio.
Optional current volume and current buzz with positive/negative colors.
Overall
Not a signal system—it's a volume-reading assistant.
Helps identify true standout volume, institutional spikes, and quiet vs. aggressive trading conditions at a glance.
IBD Style - EPS & SalesPurpose
Brings MarketSmith/MarketSurge-style fundamentals directly into TradingView.
Designed for growth traders using EPS, sales, and acceleration as core criteria.
Data & Detection
Automatically detects earnings events from TradingView data.
Reconstructs up to 8 quarters of EPS and revenue.
Distinguishes actual vs. standardized EPS, fills missing values, fixes irregularities.
Weekly Earnings Table
Shows EPS, YoY & QoQ growth, EPS surprises, sales, sales growth, margin, ROE.
Dynamically scales revenue (millions/billions).
Alternating row colours + MarketSmith / MarketSurge themes.
Daily HeadBand Table
Condensed view of last 4 quarters.
Shows growth metrics + next earnings date.
Chart Annotations
Optional earnings arrows with EPS% (and sales%).
MarketSmith-style coloring and ±999% limits.
“Digits-only” mode for clean charts.
Data Safeguards
Handles negative EPS cases (#), duplicated values, missing quarters, and reporting irregularities.
Overall
Not a signal tool—an integrated fundamental visualization framework.
Lets traders see earnings acceleration, revenue strength, and profitability without leaving the chart.
IBD Style RS Rating Line IndicatorPurpose
Measures relative performance, not just price action.
Recreates the IBD-style 1–99 RS Rating inside TradingView.
RS Line
Plots stock price relative to a benchmark (default: SPX).
Scaled for readability; supports indices and sectors.
Optional MA overlays and positive/negative fill zones.
RS New Highs / New Lows
Scans a user-defined lookback.
Marks RS new highs (blue) and new lows (red).
Modes for historical, last-bar-only, or “RS leads price.”
RS Rating (1–99)
Calculates a weighted performance score over 1–12 months.
Compares this score to market-wide thresholds pulled via request.seed().
Converts score into percentile bands (e.g., 70–89, 90–98).
Assigns 99 to top leaders and 1 to laggards.
Fallback Logic
Missing environment data = shows “RS” without a number.
Replay mode uses fixed thresholds to approximate ratings.
Output
Clean label showing RS Rating near the RS line.
Helps traders instantly judge whether a stock is a true leader.
Z-Score Regime DetectorThe Z-Score Regime Detector is a statistical market regime indicator that helps identify bullish and bearish market conditions based on normalized momentum of three core metrics:
- Price (Close)
- Volume
- Market Capitalization (via CRYPTOCAP:TOTAL)
Each metric is standardized using the Z-score over a user-defined period, allowing comparison of relative extremes across time. This removes raw value biases and reveals underlying momentum structure.
📊 How it Works
- Z-Score: Measures how far a current value deviates from its average in terms of standard deviations.
- A Bullish Regime is identified when both price and market cap Z-scores are above the volume Z-score.
- A Bearish Regime occurs when price and market cap Z-scores fall below volume Z-score.
Bias Signal:
- Bullish Bias = Price Z-score > Market Cap Z-score
- Bearish Bias = Market Cap Z-score > Price Z-score
This provides a statistically consistent framework to assess whether the market is flowing with strength or stress.
✅ Why This Might Be Effective
- Normalizing the data via Z-scores allows comparison of diverse metrics on a common scale.
- Using market cap offers broader insight than price alone, especially for crypto.
- Volume as a reference threshold helps identify accumulation/distribution regimes.
- Simple regime logic makes it suitable for trend confirmation, filtering, or position biasing in systems.
⚠️ Disclaimer
This script is for educational purposes only and should not be considered financial advice. Always perform your own research and risk management. Past performance is not indicative of future results. Use at your own discretion.
NeuraAlgo - Market DynamicsNeuraAlgo – Market Dynamics
Simplyfying the Market Dynamics
Unlock the complexity of financial markets with NeuraAlgo – Market Dynamics. Designed for traders and investors alike, this intelligent tool distills the chaos of price movements, volume fluctuations, and trend directions into clear, actionable insights. With advanced algorithms working behind the scenes, it simplifies market dynamics so you can focus on making informed decisions, spotting opportunities, and managing risk with confidence.
Behind this simple overlay lies a powerful, complex algorithm.
Main Settings -Main Algorithm
Timeframe – Choose the chart timeframe that the indicator will analyze. It adapts the calculations to the selected interval for precise market insights.
Preset – Select the operating mode:
Main Trend: Focuses on the dominant market trend.
Multi Trend: Analyzes multiple trend layers for a broader perspective.
Sensitivity – Adjusts the indicator’s responsiveness to price changes. Higher values make the system more reactive to market fluctuations, while lower values smooth out minor noise.
Smooth Tuner – Controls the smoothing of the underlying calculations, helping to reduce false signals and provide cleaner trend visualization.
Orderflow Statistics – Toggle to display detailed order flow statistics directly on the chart for deeper market analysis.
Performance Statistics – Toggle to enable backtesting tables, showing historical performance metrics of the indicator for strategy evaluation.
2.Art Settings -Change Visuals
Color Scheme – Select a pre-defined visual theme for your charts:
Bright Light – High-contrast, vibrant colors for maximum clarity.
Freezer Mode – Cool-toned palette for calm, visually comfortable analysis.
Standard Mode – Balanced, neutral colors for everyday use.
Delta Mode – Highlights key differences and movements with distinct colors.
Custom – Fully customize the colors of bullish, bearish, and range elements.
Green / Red / Range (Custom Colors) – When “Custom” is selected, these options allow you to define the colors for bullish (Green), bearish (Red), and neutral/range areas (Range) according to your preference.
Candle Coloring Type – Choose how candles are highlighted based on market signals:
Confirmation Simple – Basic signal-based coloring for clear, direct visualization.
Confirmation Gradient – Smooth gradient-based coloring for more dynamic and aesthetic signal representation.
3.Dashboard -Market Statistics
The Dashboard provides a compact, at-a-glance overview of key market conditions and indicator metrics, helping traders make faster and more informed decisions.
Functionality & Layout – The dashboard dynamically displays multiple sections:
Optimal Scale ⚖️ – Shows key market scaling metrics like volatility for better decision-making.
Risk Manager 📊 – Indicates the active risk management strategy (e.g., Risk-Reward, Partial Exits, or Trailing Stop Loss).
Orderflow Statistics 📈 – Displays market sentiment, footprint strength, and delta trends for precise order flow analysis.
Market Status 🌐 – Highlights current trend conditions and trend strength across different timeframes.
Bias Scores 🎯 – Provides trend strength percentages across multiple timeframes (5min, 15min, 30min, 1H, 4H, 1D) to quickly gauge market bias.
Backtest Performance -A summary panel showing the overall performance of the strategy.
Deposit -The starting capital used for backtesting.
Win Trades -Total number of profitable trades.
Winrate -Percentage of winning trades out of all trades.
Max DD -Maximum drawdown — the largest peak-to-trough loss.
PnL -Net profit or loss generated by the strategy.
Return -Percentage growth of the account during the test.
Profit Factor -Ratio of total profits to total losses.
The dashboard uses color-coded indicators (green for bullish, red for bearish, yellow for neutral) and merged cells for a clean and organized display.
It’s designed to simplify complex market dynamics into a visually intuitive interface, giving traders real-time insights without cluttering the chart.
4.Neura Engineering – Enhancements
This section provides advanced filtering options to fine-tune market analysis, reduce noise, and highlight meaningful trends.
Noise Filter – Smoothens minor price fluctuations to reduce false signals.Noise Sensitivity helps Adjust how aggressively the filter suppresses noise.
Gap Filter – Detects and smooths price gaps to improve trend clarity.Gap Sensitivity helps Controls the responsiveness of the gap filter.
Range Filter – Filters out small-range price movements to focus on significant market swings.helps Adjusts how tightly the filter defines meaningful ranges.
Volatility Filter – Highlights periods of high market volatility while filtering less active periods.helps Sets the threshold for what constitutes high volatility.
Trend Filter – Focuses analysis on strong trends by filtering out weaker signals.helps Determines the minimum strength required for a trend to be considered valid.helps Uses Average True Range to dynamically adjust trend filtering based on market movement.
These enhancement tools allow traders to customize signal clarity, reduce noise, and focus on meaningful market dynamics, creating a cleaner and more actionable charting experience.
5.Neura Overlays – Market Visual Enhancements
These overlays add visual intelligence to your chart, helping you instantly understand trend behavior, sentiment shifts, and price structure.
Reversal Cloud - Highlights potential reversal zones where price may change direction.Reversal Sensitivity helps Controls how quickly the cloud reacts to shifts in momentum.
Sentiment Cloud -Maps the underlying market mood—bullish, bearish, or neutral—directly onto the chart.Sentiment Sensitivity helps Adjusts how sensitive the sentiment readings are.
Price Steps -Draws structured “price steps” that reveal hidden market rhythm, impulse strength, and trend flow.Price Step Depth helps Determines the size and spacing of these steps.
Market Bias -Shows directional bias based on deeper trend pressure and underlying orderflow.Bias Sensitivity helps Controls how strict or lenient the bias detection is.
6.Risk Management Settings – Intelligent Trade Control
This module controls how your trades manage themselves after entry. Choose between traditional Risk/Reward exits, partial profit-taking, or an adaptive trailing stop system.
RiskReward
A classic risk-to-reward exit system.You set a risk multiple (e.g., 1:2), and the indicator automatically sets one Stop Loss and one Take Profit based on that ratio.
Partials
Scales out your position at multiple take-profit levels.Instead of closing the entire trade at once, the system secures profits gradually at TP1, TP2, and TP3 while keeping the remainder running.
TrailingStop
Uses a dynamic stop loss that follows price as it moves in your favor.There is no fixed Take Profit; instead, the trailing stop locks in profit and exits the trade automatically when momentum reverses.
7.Automatic Alert System
This is the System that organizes all settings related to the automatic webhook alert creator inside the indicator.
Rule No. 1 is never lose money. Rule No. 2 is never forget Rule No. 1.
Warren Buffet
NeuraAlgo – Market Dynamics transforms complex market behavior into clear, actionable insights for smarter trading decisions.
Relative PerformanceCompare the relative and actual performance of up to 15 tickers against the current market being charted across multiple timeframes. Customisable look back periods and alerts configured. All data is displayed in a dynamic table for the market selected.
Shareline_Momentum_DataFeedupdated version for data feed indicator to feed data to other indicators and strategys.
Shareline_Momentum_DataFeed.V1.0This script is a data feed script which provides data to other indicators and strategys. It is the master to understand how indicators can work.
Leverage LineLeverage Line is an indicator represented by a simple line. This line corresponds to the average of three other values:
- The current price of the listed asset
- The average price calculated since the asset's listing based on TradingView data
- The equilibrium price between supply and demand
This indicator can be used on all assets. Regarding timeframes, they can be used on all of them, although the line's movements and position will not change in any case. However, if you want a broader view, you absolutely can. But for the best views, for bounces or breakout confirmations, I highly recommend the weekly timeframe, and occasionally the daily one as well, but the weekly one is truly the best.
I hope this indicator will allow you to better visualize where the price is supposed to be, and that you will adapt it to your trading or even create your own strategies with it.
Glebesqu,
Sincerely.
P/E, EPS, Price & Price-to-Sales DisplayPrice to earning ratio,
EPS,
Price ANd
Price-to-Sales Display
ATR multiple from High & LowA simple numerical indicator measuring ATR multiple from recent 252 days high and low.
ATR multiples from high (and low) are used as a base in many systematic trading and trend following systems. As an example many systems buy after a 2.5–4 ATR multiple pullback in a strong stock if the regime allows it. This would then be paired with an entry tactic, for example buy as it recaptures the a pivot within the upper range, a MA or breaks out again after this mid term pullback/shakeout.
This indicator uses a function which captures the recent high and low no matter if we have 252 bars or not, which is not how standard high/low works in Tradingview. This means it also works with recent IPO:s.
I prefer to overlay the indicator in one of the lower panes, for example the volume pane and then right click on the indicator and select Pin to scale > No scale (fullscreen).
