Volume Candle Rings [CHE]Volume Candle Rings – Spot Volume Extremes Fast 🔍
Marks exceptionally high volume right on the candle as concentric rings. Instantly see how extreme the spike is (levels 1–10), where it happens (anchor on HL2/Close/BodyMid), and how big it is relative to volatility (ATR-scaled). No magic, no blind signals—just clean context for better decisions.
Why it helps 🎯
Catch true extremes: Positive-side Z-Score maps spikes into 10 levels. By default, only 8/9/10 show—the ones that matter.
Context over clutter: Rings sit on the candle, scale with ATR (market regime), and widen in bars (time). Read absorption, breakout thrusts, or capitulation in context.
Signal the new, not the noise: Optional OFF→ON only drawing cuts chart noise and highlights fresh events.
How it works ⚙️
Z-Score: `z = (Vol – SMA(Vol, lookback)) / StDev(Vol, lookback)` → clipped at `zScoreCap`, normalized, and binned to 1..10 (0 = none). Only z > 0 counts.
Geometry: Vertical diameter = `Level × ATR(atrLength) × atrPerLevel`; horizontal radius = `Level × xBarsPerLevel` bars; curvatureFactor controls roundness.
Anchor: Choose HL2, Close, or BodyMid for the vertical center.
Performance: Keeps up to maxStoredCircles; FIFO cleanup to stay smooth.
Typical use cases 📈
Breakout confirmation: Clusters of 8–10 at range edges → rising initiative.
Absorption / fade: Extreme ring (9–10) without follow-through → potential stall or reversal.
Blow-off / climax: Single huge ring after a long run → higher odds of mean reversion.
News filtering: Show the real outliers, not every minor bump.
Inputs (mapped 1:1) 🧩
Z-Score & Levels
Lookback (SMA/StDev) – default 200
Z-Score Clipping – default 5.0
Behavior
Draw every bar – default ON; OFF = only on OFF→ON switches
Max circles to retain – default 120
Anchoring & Geometry
Anchor on candle – HL2 / Close / BodyMid
ATR Length – default 50
ATR per Level (Y) – default 0.25
Bars per Level (X) – default 0.15
Circle curvature – default 0.70
Level Selection (1–10)
Default: 8/9/10 ON, 1–7 OFF. Colors grade from teal/green → orange → red; fill opacity separate.
Quick presets ⏱️
Intraday (1–5m): Lookback 150–250, Cap 4.0–5.0, ATR/Level 0.20–0.30, Bars/Level 0.10–0.20, Draw every bar OFF.
Swing (1H–1D): Lookback 200–300, Cap 5.0, ATR/Level 0.25–0.35, Bars/Level 0.15–0.25, keep 8–10.
Aggressive scouting: Also enable Level 7 for early accumulation.
Pro tips 💡
Control object load: Reduce maxStoredCircles or switch Draw every bar OFF on busy charts.
Seek confluence: Combine rings with S/R, range edges, VWAP, session H/L. A ring is information, not an entry by itself.
Color discipline: Reserve red (9/10) for true extremes; keep lower levels subtle.
Limits & notes 🧭
This is visualization, not alerts or auto signals.
Many polylines can slow charts—tune Behavior settings.
Works across markets/timeframes; adapt parameters to the asset’s character.
Who it’s for 🙌
Traders who read volume in price context—breakouts, fades, reversals. See when the market is truly stepping on the gas.
Volume Candle Rings \ turns raw volume into precise, scale-aware markers. Spot extremes faster, avoid confusing “loud” with “important,” and make cleaner, context-driven decisions. 🚀
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Best regards and happy trading
Chervolino
Cycles
Long-only Swing/Scalp (anchored exits + TP harness) Traders PostThis is the Traders Post friendly drag and drop version of the swing/ scalp strategy for the algo traders out there. Let me know your thoughts, constructive criticism is always welcome.
EMP Probabilistic [CHE]Part 1 — For Traders (Practical Overview, no formulas)
What this tool does
EMP Probabilistic \ turns raw price action into a clean, probability-aware map. It builds two adaptive bands around the session open of a higher timeframe you choose (called the S-timeframe) and highlights a robust median threshold. At a glance you know:
Where price has recently tended to stay,
Whether current momentum sits above or below the median, and
A live Long vs. Short probability based on recent outcomes.
Why it improves decisions
Objective context in any regime: The nonparametric band comes straight from recent market behavior, without assuming a particular distribution.
Volatility-aware risk lens: The parametric band adapts to current volatility, helping you judge stretch and room for continuation or snap-back.
No lookahead: All stats update only after an S-bar is finished. That means the panel reflects information you truly had at that time.
How to read the chart
Orange band = empirical, distribution-free range derived from recent session returns (nonparametric).
Teal band = volatility-scaled range around the session open (parametric).
Median dots: green when close is above the median threshold, red when below.
Info panel: shows the active S-timeframe, window sizes, live coverage for both bands, the internal width parameter and volatility estimate, plus a one-line summary.
Probability label: “Long XX% • Short YY%” — a simple read on the recent balance of up vs. down S-bars.
How to use it (quick start)
1. Choose S-timeframe with Auto, Multiplier, or Manual. “Auto” scales your chart TF up to a sensible higher step.
2. Set alpha to control how tight the inner band should be. A typical value gives you a comfortable center zone without cutting off healthy trends.
3. Trade the context:
Trend-following: Prefer longs when price holds above the median; prefer shorts when it stays below.
Mean-reversion: Fade moves near the outer edges during ranges; look for reversion back toward the median.
Breakout filter: Require closes that push and hold beyond the volatility band for momentum plays; avoid noise when price chops inside the middle of the orange band.
Risk management made practical
Size positions relative to the teal band width to keep risk consistent across instruments and regimes.
For stops, many traders set them just beyond the opposite orange bound or use a fraction of the teal band.
Watch the panel’s coverage readouts and Brier score; when they deteriorate, the market may be shifting — reduce size or demand stronger confirmation.
Suggested presets
Scalping (Crypto/FX): Auto S-TF, alpha around a fifth, calibration window near two hundred, RS volatility, metrics window near two hundred.
Intraday Futures: Multiplier 3–5× your chart TF; similar alpha and window sizes; RS volatility is a solid default.
Swing/Equities: S-TF at least daily; test both RS and GK volatility modes; keep windows on the larger side for stability.
What makes it different
Two complementary lenses: a distribution-free read of recent behavior and a volatility-scaled read for risk and stretch.
Self-calibrating width: the parametric band quietly nudges its internal multiplier so actual coverage tracks your target.
Clean UX: grouped inputs, tooltips, an info panel that tells you what’s going on, and a simple median bias you can act on.
Repainting & timing
The logic updates only when the S-bar closes. On lower-timeframe charts you’ll see intrabar flips of the dot color — that’s just live price moving around. For strict signals, confirm on S-bar close.
Friendly note (not financial advice)
Use this as a context engine. It won’t predict the future, but it will keep you on the right side of probability and volatility more often, which is exactly where consistency starts.
Part 2 — Under the Hood (Conceptual, no formulas)
Data and timeframe design
The script works on a higher S-timeframe you select. It fetches the open, high, low, close, and time of that S-bar. Internally, it only updates its rolling windows after an S-bar has finished. It then pushes the previous S-bar’s statistics into its arrays. That design removes lookahead and keeps the metrics out-of-sample relative to the current S-bar.
Nonparametric band (distribution-free)
The orange band comes from the empirical distribution of recent session-level close-minus-open moves. The script keeps a rolling window, sorts a safe copy, and reads three key points: a lower bound, a median, and an upper bound. Because it’s based purely on observed outcomes, it adapts naturally to skew, fat tails, and regime shifts without assuming any particular shape. The orange range shows “where price has tended to live” lately on the chosen S-timeframe.
Parametric band (volatility-scaled)
The teal band models log-space variability around the session open using one of two well-known OHLC volatility estimators: Rogers–Satchell or Garman–Klass. Each estimator contributes a per-bar variance figure; the script averages these across the rolling window to form a current volatility scale. It then builds a symmetric band around the session open in price space. This gives you a volatility-aware notion of stretch that complements the distribution-free orange band.
Self-calibration of band width
The teal band has an internal width multiplier. After each completed S-bar the script checks whether the realized move stayed inside that band. If the band was too tight, the multiplier is nudged upward; if it was too loose, it’s eased downward. A simple learning rate governs how quickly it adapts. Over time this keeps the realized inside-coverage close to the target implied by your alpha setting, without you having to hand-tune anything.
Long/Short probability and calibration quality
The Long vs. Short probability is a transparent statistic: it’s just the recent fraction of up sessions in the rolling window. It is not a complex model — and that’s the point. You get an honest, intuitive read on directional tendency.
To monitor how well this simple probability lines up with reality, the script tracks a Brier-style score over a separate metrics window. Lower is better: it means your recent probability read has matched outcomes more closely.
Coverage tracking for both bands
The panel reports coverage for the orange band (nonparametric) and the teal band (parametric). These are rolling averages of how often recent S-bar moves landed inside each band. Watching these two numbers tells you whether market behavior still aligns with the recent distribution and with the current volatility model.
Why it doesn’t repaint
Because the arrays update only when an S-bar closes and only push the previous bar’s stats, the panel and metrics reflect information you had at the time. Intrabar visuals can change while a bar is forming — that’s expected — but the decision framework itself is anchored to completed S-bars.
Performance and practicality
The heaviest step is sorting a copy of the window for the nonparametric band. With typical window sizes this stays responsive on TradingView. The volatility estimators and rolling averages are lightweight. Inputs are grouped with clear tooltips so you can tune without hunting.
Limitations and good practice
In thin or gappy markets the bands can jump; consider a larger window or a higher S-timeframe.
During violent regime shifts, shorten the window and increase the learning rate slightly so the teal band catches up faster — but don’t overdo it, or you’ll chase noise.
The Long/Short probability is intentionally simple; it’s a context indicator, not a standalone signal factory. Combine it with structure, volume, or your execution rules.
Takeaway
Under the hood, the script blends empirical behavior and volatility scaling, then self-calibrates so the teal band’s real-world coverage stays near your target. You get clarity, consistency, and a dashboard that tells you when its own assumptions are holding up — exactly what you need to trade with confidence.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Best regards and happy trading
Chervolino
Asian Stock Open (00:00 UTC Daily)Simple TSE daily open indicator, 500 line history, to help prepare for potential weekly open volatility from Asia trading
15m Continuation — prev → new (v6, styled)This indicator gives you backtested statistics on how often reversals vs continuations occur on 15 minute candles on any pair you want to trade. This is great for 15m binary markets like on Polymarket.
Price Level Highlighter [ldlwtrades]This indicator is a minimalist and highly effective tool designed for traders who incorporate institutional concepts into their analysis. It automates the identification of key psychological price levels and adds a unique, dynamic layer of information to help you focus on the most relevant area of the market. Inspired by core principles of market structure and liquidity, it serves as a powerful visual guide for anticipating potential support and resistance.
The core idea is simple: specific price points, particularly those ending in round numbers or common increments, often act as magnets or barriers for price. While many indicators simply plot static lines, this tool goes further by intelligently highlighting the single most significant level in real-time. This dynamic feature allows you to quickly pinpoint where the market is currently engaged, offering a clear reference point for your trading decisions. It reduces chart clutter and enhances your focus on the immediate price action.
Features
Customizable Price Range: Easily define a specific Start Price and End Price to focus the indicator on the most relevant area of your chart, preventing unnecessary clutter.
Adjustable Increment: Change the interval of the lines to suit your trading style, from high-frequency increments (e.g., 10 points) for scalping to wider intervals (e.g., 50 or 100 points) for swing trading.
Intelligent Highlighting: A key feature that automatically identifies and highlights the single horizontal line closest to the current market price with a distinct color and thickness. This gives you an immediate visual cue for the most relevant price level.
Highly Customizabile: Adjust the line color, style, and width for both the main lines and the highlighted line to fit your personal chart aesthetic.
Usage
Apply the indicator to your chart.
In the settings, input your desired price range (Start Price and End Price) to match the market you are trading.
Set the Price Increment to your preferred density.
Monitor the chart for the highlighted line. This is your active price level and a key area of interest.
Combine this tool with other confirmation signals (e.g., order blocks, fair value gaps, liquidity pools) to build higher-probability trade setups.
Best Practices
Pairing: This tool is effective across all markets, including stocks, forex, indices, and crypto. It is particularly useful for volatile markets where price moves rapidly between psychological levels.
Mindful Analysis: Use the highlighted level as a reference point for your analysis, not as a standalone signal. A break above or below this level can signify a shift in market control.
Backtesting: Always backtest the indicator on your preferred market and timeframe to understand how it performs under different conditions.
Trend + Squeeze with Fast Flexible Transition ESGood for ES.
Trend and Squeeze with Fast Flexible Transition
Good for ES.
Breakout ORB + HTF EMA + ATR Targets (America/Denver)This is a perfect simple chart for those trading Crypto pairs between the London and US market overlays.
Moving Averages with Alerts: 9, 21, 51, 100, 144, 200---
This indicator plots six configurable moving averages (MA) with options for EMA, SMA, RCI, HMA, and Pivô Boss types. It highlights key crossover points, especially monitoring the 9-period MA for crosses with others. Users can enable alerts for these crossovers, as well as set custom alerts between any two selected MAs. Additionally, the indicator marks the important crossovers of the 51 and 200 MAs on the chart with an “X”. This helps traders identify trend changes and potential entry or exit points efficiently.
---
1H FVG Zones Only (5m & 1h)new uses trend anaylosis. takes 15 min chart and breaks into 1hr chart fvg gaps
eksOr - Charm + Vanna Window (Monthly OPEX)What This Does
This indicator highlights the monthly “Charm + Vanna window” around standard monthly options expiration (the 3rd Friday, i.e., monthly OPEX). It’s a time-based overlay that shades either:
Pre-OPEX: from the first calendar day of the month through the day before OPEX, or
Post-OPEX: from OPEX (3rd Friday) through month-end.
Use it to quickly see periods when index/stock flows are often influenced by charm (delta change from time decay) and vanna (delta change from IV moves), which can impact intramonth behavior.
How It Works
Automatically computes the third Friday each month (monthly OPEX) in your chosen timezone.
Lets you nudge the default window with Start/End calendar-day offsets (±10) to match your playbook.
Optionally draws vertical dotted lines and S/E labels on the bars where the window starts/ends.
Shows a compact table (top-right) with the current mode and the Start/End dates of the active month.
Triggers alerts on the exact bars where the window STARTS and ENDS.
Inputs
Window Mode: Pre-OPEX (start → OPEX-1) or Post-OPEX (OPEX → month end)
Timezone: Select from common exchanges/regions
Start/End Offsets: Shift boundaries by calendar days (e.g., start +2, end −1)
Style: Toggle shading, transparency, color, and start/end lines/labels
Why it’s useful
Many traders track the pre-OPEX build-up and post-OPEX reset for potential flow-driven behavior.
This tool doesn’t predict direction; it frames time so you can align other signals (price, breadth, vol, dealer positioning, etc.) within a consistent monthly structure.
Notes & limitations
This is not a signal or guarantee of charm/vanna effects—just a calendar window commonly associated with them.
OPEX logic uses the standard 3rd Friday (monthly equity/index options). It does not account for special exchange holidays or instrument-specific settlement quirks.
For best results, combine with your own vol/positioning dashboards (IV, skew, gamma exposure, open interest changes, etc.).
Tips
Use Pre-OPEX mode to visualize potential decay/roll dynamics into OPEX.
Use Post-OPEX mode to frame potential position resets into month-end.
Adjust offsets to match how your market/instrument tends to behave (e.g., start earlier if flows show up sooner).
Дни недели и торговые сесииIndicator for visual analysis by trading sessions and days.
Индикатор для наглядного анализа по торговым сесиям и дням.
Prima de Riesgo High Yield + Eventos HistóricosPrima de risgo de los bonos basura. Muetra los periodos de recesión económica en las bolsas.
Alerta de toque de la 200-Week SMACuando el precio toca la MMS de 200 semanas es una posible compra.
Waves of Wealth Pair Trading RatioThis versatile indicator dynamically plots the ratio between two user-selected instruments, helping traders visualize relative performance and detect potential mean-reversion or trend continuation opportunities.
Features include:
User inputs for selecting any two instrument symbols for comparison.
Adjustable moving average period to track the average ratio over time.
Customizable standard deviation multiplier to define statistical bands for overbought and oversold conditions.
Visual display of the ratio line alongside upper and lower bands for clear trading signals.
Ideal for pair traders and market analysts seeking a flexible tool to monitor inter-asset relationships and exploit deviations from historical norms.
Simply set your preferred symbols and parameters to tailor the indicator to your trading style and assets of interest.
How to Use the Custom Pair Trading Ratio Indicator
Select symbols: Use the indicator inputs to set any two instruments you want to compare—stocks, commodities, ETFs, or indices. No coding needed, just type or select from the dropdown.
Adjust parameters: Customize the moving average length to suit your trading timeframe and style. The standard deviation multiplier lets you control sensitivity—higher values mean wider bands, capturing only larger deviations.
Interpret the chart:
The ratio line shows relative strength between the two instruments.
The middle line represents the average ratio (mean).
The upper and lower bands indicate statistical extremes where price action is usually overextended.
Trading signals:
Look to enter pair trades when the ratio moves outside the bands—expecting a return to the mean.
Use the bands and mean to set stop-loss and profit targets.
Combine with other analysis or fundamental insight for best results.
Fed Funds Rate-of-ChangeFed Funds Rate-of-Change
What it does:
This indicator pulls the Effective Federal Funds Rate (FRED:FEDFUNDS, monthly) and measures how quickly it’s changing over a user-defined lookback. It offers stabilized change metrics that avoid the “near-zero blow-up” you see with naive % ROC. The plot turns red only when the signal is below the lower threshold and heading down (i.e., value < –threshold and slope < 0).
This indicator is meant to be useful in monitoring fast cuts on the part of the FED - a signal that has preceded recession or market pullbacks in times prior.
Change modes: Percentage, log and delta.
Percent ROC (ε floor): 100 * (now - prev) / max(prev, ε)
Log change (ε): 100 * (ln(now + ε) - ln(prev + ε))
Delta (bps): (now - prev) * 100 (basis points; avoids percentage math)
Tip: For “least drama,” use Delta (bps). For relative change without explosions near zero, use Log change (ε).
Key inputs:
Lookback (months): ROC window in calendar months (because source is monthly).
Change Metric: one of the three options above.
ε (percentage points): small constant (e.g., 0.25 pp) used by Percent ROC (ε) and Log change (ε) to stabilize near-zero values.
EMA Smoothing length: light smoothing of the computed series.
Clip |value| at: optional hard cap to tame outliers (0 = off).
Threshold % / Threshold bps: lower/upper threshold band; unit adapts to the selected metric.
Plot as histogram: optional histogram view.
Coloring / signal logic
Red: value is below the lower threshold (–threshold) and the series is falling on the current bar.
How to use:
Add to any chart (timeframe doesn’t matter; data is monthly under the hood).
Pick a Change Metric and set Lookback (e.g., 3–6 months).
Choose a reasonable threshold:
Percent/Log: try 10–20%
Delta (bps): try 50–100 bps
Optionally smooth (EMA 3–6) and/or clip extreme spikes.
Interpretation
Sustained red often marks periods of accelerating downside in the Fed Funds change metric (e.g., policy easing momentum when using bps).
Neutral (gray) provides context without implying direction bias.
Notes & limitations
Source is monthly FRED series; values update on monthly closes and are stable (no intrabar repainting of the monthly series).
Threshold units switch automatically with the metric (%, %, or bps).
Smoothing/clip are convenience tools; adjust conservatively to avoid masking important shifts.
Horrible Pine ScriptA script with a bug in setting the background color. Specifically written for the QQQ. Regardless of the parameter, the color is always red. Three test values are output.
Nifty Options Ladder (static ATM)This Indicator Shows CE, PE of three near by Strike Price of the ATM you Select
Custom Linear Regression Candles with Real-Time PriceHii this is great indicator to build by chatgpt.
How to use------------
1. It is based on the linear regression formula which gives you accurate market conditions.
2. You can do this with a RSI indicator so you can know overbought and oversell label.
3.If you want to get good accuracy then you can use chart type Heikin Ashi.
Input--------------
1. You can take linear regression length on different timeframes, in my backtest it was
5 to 15 min----30 and 1hour to 4hour---20 and Day---10 you can keep it.
2. You can pinpoint the highs and lows of the linear regression line.
--Please use it and give your feedback.
US Net Liquidity + M2 / US Debt (FRED)US Net Liquidity + M2 / US Debt
🧩 What this chart shows
This indicator plots the ratio of US Net Liquidity + M2 Money Supply divided by Total Public Debt.
US Net Liquidity is defined here as the Federal Reserve Balance Sheet (WALCL) minus the Treasury General Account (TGA) and the Overnight Reverse Repo facility (ON RRP).
M2 Money Supply represents the broad pool of liquid money circulating in the economy.
US Debt uses the Federal Government’s total outstanding debt.
By combining net liquidity with M2, then dividing by total debt, this chart provides a structural view of how much monetary “fuel” is in the system relative to the size of the federal debt load.
🧮 Formula
Ratio
=
(
Fed Balance Sheet
−
(
TGA
+
ON RRP
)
)
+
M2
Total Public Debt
Ratio=
Total Public Debt
(Fed Balance Sheet−(TGA+ON RRP))+M2
An optional normalization feature scales the ratio to start at 100 on the first valid bar, making long-term trends easier to compare.
🔎 Why it matters
Liquidity vs. Debt Growth: The numerator (Net Liquidity + M2) captures the monetary resources available to markets, while the denominator (Debt) reflects the expanding obligation of the federal government.
Market Signal: Historically, shifts in net liquidity and money supply relative to debt have coincided with major turning points in risk assets like equities and Bitcoin.
Context: A rising ratio may suggest that liquidity conditions are improving relative to debt expansion, which can be supportive for risk assets. Conversely, a falling ratio may highlight tightening conditions or debt outpacing liquidity growth.
⚙️ How to use it
Overlay this chart against S&P 500, Bitcoin, or gold to analyze correlations with asset performance.
Watch for trend inflections—does the ratio bottom before equities rally, or peak before risk-off periods?
Use normalization for long historical comparisons, or raw values to see the absolute ratio.
📊 Data sources
This indicator pulls from FRED (Federal Reserve Economic Data) tickers available in TradingView:
WALCL: Fed balance sheet
RRPONTSYD: Overnight Reverse Repo
WTREGEN: Treasury General Account
M2SL: M2 money stock
GFDEBTN: Total federal public debt
⚠️ Notes
Some FRED series are updated weekly, others monthly—set your chart timeframe accordingly.
If any ticker is unavailable in your plan, replace it with the equivalent FRED symbol provided in TradingView.
This indicator is intended for macro analysis, not short-term trading signals.