KT_Global Bond Yields by CountryGlobal Bond Yields Indicator Summary
The Global Bond Yields by Country indicator, developed for Trading View (Pine Script v5), provides a comprehensive tool for visualizing and analyzing government bond yields across multiple countries and maturities. Below are its key features:
Features
Country Selection: Choose from 20 countries, including the United States, China, Japan, Germany, United Kingdom, and more, to display their respective bond yields.
Multiple Maturities: Supports 18 bond maturities ranging from 1 month to 40 years, allowing users to analyze short-term to long-term yield trends.
Customizable Display:
Toggle visibility for each maturity (1M, 3M, 6M, 1Y, 2Y, 3Y, 4Y, 5Y, 6Y, 7Y, 8Y, 9Y, 10Y, 15Y, 20Y, 25Y, 30Y, 40Y) individually.
Option to show or hide all maturities with a single toggle for streamlined analysis.
10Y-2Y Yield Spread: Plots the difference between 10-year and 2-year bond yields, a key indicator of yield curve dynamics, with an option to enable/disable.
Zero Line Reference: Displays a dashed grey horizontal line at zero for clear visual reference.
Color-Coded Plots: Each maturity is plotted with a distinct color, ranging from lighter shades (short-term) to darker shades (long-term), for easy differentiation.
Country Label: Displays the selected country's name as a large, prominent label on the chart for quick identification.
Error Handling: Alerts users if an invalid country is selected, ensuring robust operation.
Data Integration: Fetches bond yield data from Trading View's database (e.g., TVC:US10Y) with support for ignoring invalid symbols to prevent errors.
This indicator is ideal for traders and analysts monitoring global fixed-income markets, yield curve shapes, and cross-country comparisons.
Kitaran
Continuous Partial Buying Signals v7.1🇬🇧 English Description: Continuous Partial Buying Signals v7.1
This indicator is built on a long-term accumulation philosophy , not a traditional buy-sell strategy. Its main purpose is to systematically increase your position in an asset you believe in by identifying significant price drops as buying opportunities. It is a tool designed for long-term investors who want to automate the "buy the dip" or "Dollar Cost Averaging (DCA)" mindset.
How It Works
The logic follows a simple but powerful cycle: Find a Peak -> Wait for a Drop -> Signal a Buy -> Wait for a New Peak.
1. Identifies a Significant Peak: Instead of reacting to minor price spikes, the indicator looks back over a user-defined period (e.g., the last 200 candles) to find the highest price. This stable peak (marked with an orange circle) becomes the reference point for the current cycle.
2. Waits for a Pullback: The indicator then calculates the percentage drop from this locked-in peak.
3. Generates Buy Signals: When the price drops by the percentages you define (e.g., -5% and -10%), it plots a "BUY" signal on the chart. It will only signal once per level within the same cycle.
4. Resets the Cycle: This is the key. If the price recovers and establishes a new significant peak higher than the previous one, the entire cycle resets. The new peak becomes the new reference, and the buy signals are re-armed, allowing the indicator to perpetually find new buying opportunities in a rising market.
How to Get the Most Out of This Indicator
* Timeframe: It is highly recommended to use this on higher timeframes (4H, Daily, Weekly) to align with its long-term accumulation philosophy.
* Peak Lookback Period:
* Higher values (200, 300): Create more stable and less frequent signals. Ideal for long-term, patient investors.
* Lower values (50, 100): More sensitive to recent price action, resulting in more frequent cycles.
* Drop Percentages: Adjust these based on the asset's volatility.
* Volatile assets (Crypto): Consider larger percentages like 10%, 20%.
* Less volatile assets (Stocks, Indices): Smaller percentages like 3%, 5%, 8% might be more appropriate.
This indicator is a tool for disciplined, emotion-free accumulation. It does not provide sell signals.
Forex Session HighlighterSet the session start and stop time for one single session. Allows a trader to easily see their preferred trading times at a glance. Especially helpful during bar replay.
Earnings Season Highlighter (Jan/Apr/Jul/Oct)Purpose:
This indicator visually highlights the four “earnings season” months — January, April, July, and October — on any TradingView chart. It is designed for traders and investors who want a quick visual cue of when companies typically report quarterly earnings.
Features:
Highlights Jan, Apr, Jul, and Oct with a light blue background.
Works on any timeframe: intraday, daily, weekly, or monthly charts.
No dependency on price data — purely a time-based visual overlay.
Simple, lightweight, and easy to apply to any chart.
Usage:
Apply the indicator to your chart.
During the highlighted months, the background will turn light blue, signaling earnings season.
Ideal for planning trades, earnings plays, or simply monitoring market cycles.
cd_Quarterly_cycles_SSMT_TPD_CxGeneral
This indicator is designed in line with the Quarterly Theory to display each cycle on the chart, either boxed and/or in candlestick form.
Additionally, it performs inter-cycle divergence analysis ( SSMT ) with the correlated symbol, Terminus Price Divergence ( TPD ), Precision Swing Point ( PSP ) analysis, and potential Power of Three ( PO3 ) analysis.
Special thanks to @HandlesHandled for his great indicator, which I used while preparing the cycles content.
Details & Usage:
Optional cycles available: Weekly, Daily, 90m, and Micro cycles.
Displaying/removing cycles can be controlled from the menu (cycles / candles / labels).
All selected cycles can be shown, or you can limit the number of displayed cycles (min: 2, max: 4).
The summary table can be toggled on/off and repositioned.
What’s in the summary table?
• Below the header, the correlated symbol used in the analysis is displayed (e.g., SSMT → US500).
• If available, live and previous bar results of the SSMT analysis are shown.
• Under the PSP & TPD section, results are displayed when conditions are met.
• Under Alerts, the real-time status of conditions defined in the menu is shown.
• Under Potential AMD, possible PO3 analysis results are displayed.
Analysis & Symbol Selection:
To run analyses, a correlated symbol must first be defined with the main symbol.
Default pairs are preloaded (see below), but users should adjust them according to their exchange and instruments.
If no correlated pair is defined, cycles are displayed only as boxes/candles.
Once defined pairs are opened on the chart, analyses load automatically.
Pairs listed on the same row in the menu are automatically linked, so no need to re-enter them across rows.
SSMT Analysis:
Based on the chart’s timeframe, divergences are searched across Weekly, Daily, 90m, and Micro cycles.
The code will not produce results for smaller cycles than the current timeframe.
(Example: On H1, Micro cycles will not be displayed.)
Results are obtained by comparing the highs and lows of consecutive cycles in the same period.
If one pair makes a new high/low while the other does not, this divergence is added to SSMT results.
The difference from classic SMT is that cycles are used instead of bars.
PSP & TPD Analysis:
A correlated symbol must be defined.
For PSP, timeframe options are added to the menu.
Users toggle timeframes on/off by checking/unchecking boxes.
In selected timeframes, PSP & TPD analysis is performed.
• PSP: If candlesticks differ in color (bullish/bearish) between symbols and the bar is at a high/low of the timeframe (and higher/lower than the bars before/after it), it is identified as a PSP. Divergences between pairs are interpreted as potential reversal signals.
• TPD: Once a PSP occurs, the closing price of the previous bar and the opening price of the next bar are compared. If one symbol shows continuation while the other does not, it is marked as a divergence.
Example:
Let’s assume Pair 1 and Pair 2 are selected in the menu with the H4 timeframe, and our cycle is Weekly (Box).
For Pair 1, the H4 candle at the Weekly high level:
• Is positioned at the Weekly high,
• Its high is above both the previous and the next candle,
• It closed bearish (open > close).
For Pair 2, the same H4 candle closed bullish (close > open).
→ PSP conditions are met.
For TPD, we now check the candles before and after this PSP (H4) candle on both pairs.
Comparing the previous candle’s close with the next candle’s open, we see that:
• In Pair 1, the next open is lower than the previous close,
• In Pair 2, the next open is higher than the previous close.
Pair 1 → close > open
Pair 2 → close < open
Since they are not aligned in the same direction, this is interpreted as a divergence — a potential reversal signal.
While TPD results are displayed in the summary table, whenever the conditions are met in the selected timeframes, the signals are also plotted directly on the chart. (🚦, X)
• Higher timeframe TPD example:
• Current timeframe TPD example:
Alerts:
The indicator can be conditioned based on aligned timeframes defined within the concept.
Example (assuming random active rows in the screenshot):
• Weekly Bullish SSMT → Tf2 (menu-selected) Bullish TPD → Daily Bullish SSMT.
Selecting “none” in the menu means that condition is not required.
When an alert is triggered, it will be displayed in the corresponding row of the table.
• Example with only condition 3 enabled:
Potential PO3 Analysis:
According to Quarterly Theory, price moves in cycles, and the same structures are assumed to continue in smaller timeframes.
From classical PO3 knowledge: before the main move, price first manipulates in the opposite direction to trap buyers/sellers, then makes its true move.
The cyclical sequence is:
(A)ccumulation → (M)anipulation → (D)istribution → (R)eversal / Continuation.
Within cycle candles, the first letter of each phase is displayed.
So how does the analysis work?
If the active cycle is in (M)anipulation or (D)istribution phase, and it sweeps the previous cycle’s high or low but then pulls back inside, this is flagged in the summary table as a possible PO3 signal.
In other words, it reflects the alignment of theoretical sequence with real-time price action.
Confluence with SSMT and TPD conditions further strengthens the expectation.
Final Note:
No single marking or alert carries meaning on its own — it must always be evaluated in the context of your concept knowledge.
Instead of trading purely on expectations, align bias + trend + entry confirmations to improve your success rate.
Feedback and suggestions are welcome.
Happy trading!
Bitcoin vs. Gold correlation with lagBTC vs Gold (Lag) + Correlation — multi-timeframe, publication notes
What it does
Plots Gold on the same chart as Bitcoin, with a configurable lead/lag.
Lets you choose how the series is displayed:
Gold shifted forward (+lag on chart) — shows gold ahead of BTC on the time axis (visual offset).
Gold aligned to BTC (gold lag) — standard alignment; gold is lagged for calculation and plotted in place.
BTC 200D Lag (BTC shifted forward) — visualizes BTC shifted forward (like popular “BTC 200D Lag” charts).
Computes Pearson correlations between BTC (no lag) and Gold (with lag) over multiple lookback windows equivalent to:
30d, 60d, 90d, 180d, 365d, 2y (730d), 3y (1095d), 5y (1825d).
Shows a table with the correlation values, automatically scaled to the current timeframe.
Why this is useful
A common macro claim is that BTC tends to follow Gold with a delay (e.g., ~200 trading days). This tool lets you:
Visually advance Gold (or BTC) to see that lead-lag relationship on the chart.
Quantify the relationship with rolling correlations.
Switch timeframes (D/W/M/…): everything automatically stays in sync.
Quick start
Open a BTC chart (any exchange).
Add the indicator.
Set Gold symbol (default TVC:GOLD; alternatives: OANDA:XAUUSD, COMEX:GC1!, etc.).
Choose Lag value and Lag unit (Days/Weeks/Months/Years/Bars).
Pick Visual Mode:
To mirror those “BTC 200D Lag” posts: choose “BTC 200D Lag (BTC shifted forward)” with 200 Days.
To view Gold 200D ahead of BTC: select “Gold shifted forward (+lag on chart)” with 200 Days.
Keep Rebase to 100 ON for an apples-to-apples visual scale. (You can move the study to the left price scale if needed.)
Inputs
Gold symbol: external series to pair with BTC.
Lag value: numeric value.
Lag unit: Days, Weeks, Months (≈30d), Years (≈365d), or direct Bars.
Visual mode:
Gold shifted forward (+lag on chart) → gold is offset to the right by the lag (visual only).
Gold aligned to BTC (gold lag) → standard plot (no visual offset); correlations still use lagged gold.
BTC 200D Lag (BTC shifted forward) → BTC is offset to the right by the lag (visual only).
Rebase to 100 (visual): rescales each series to 100 on its first valid bar for clearer comparison.
Show gold without lag (debug): optional reference line.
Show price tag for gold (lag): toggles the track price label.
Timeframe handling
The study uses the current chart timeframe for both BTC and Gold (timeframe.period).
Lag in time units (Days/Weeks/Months/Years) is internally converted to an integer number of bars of the active timeframe (using timeframe.in_seconds).
Example: on W (weekly), 200 days ≈ 29 bars.
On intraday timeframes, days are converted proportionally.
Correlation math
Correlation = ta.correlation(BTC, Gold_lagged, length_in_bars)
Lookback lengths are the bar-equivalents of 30/60/90/180/365/730/1095/1825 days in the active timeframe.
Important: correlations are computed on prices (not returns). If you prefer returns-based correlation (often more statistically robust), duplicate the script and replace price inputs with change(close) or ta.roc(close, 1).
Reading the table
Window: nominal day label (e.g., 30d, 1y, 5y).
Bars (TF): how many bars that window equals on the current timeframe.
Correlation: Pearson coefficient . Background tint shows intensity and sign.
Tips & caveats
Visual offsets (offset=) move series on screen only; they don’t affect the math. The math always uses BTC (no lag) × Gold (lagged).
With large lags on high timeframes, early bars will be na (normal). Scroll forward / reduce lag.
If your Gold feed doesn’t load, try an alternative symbol that your plan supports.
Rebase to 100 helps visibility when BTC ($100k) and Gold ($2k) share a scale.
Months/Years use 30/365-day approximations. For exact control, use Days or Bars.
Correlations on very short lengths or sparse data can be unstable; consider the longer windows for sturdier signals.
This is a visual/analytical tool, not a trading signal. Always apply independent risk management.
Suggested setups
Replicate “BTC 200D Lag” charts:
Visual Mode: BTC 200D Lag (BTC shifted forward)
Lag: 200 Days
Rebase: ON
Gold leads BTC (Gold ahead):
Visual Mode: Gold shifted forward (+lag on chart)
Lag: 200 Days
Rebase: ON
Compatibility: Pine v6, overlay study.
Best with: BTCUSD (any exchange) + a reliable Gold feed.
Author’s note: Lead-lag relationships are not stable over time; treat correlations as descriptive, not predictive.
ICT 00:00, 08:30, 09:30 & 13:30 Opens (NY) — Prior-Day HistoryICT 00:00, 08:30, 09:30 & 13:30 Opens (NY)
This is a derivative of ALPHAICTRADER’s open-source script, republished under the MPL-2.0 with clear attribution and documented changes. It plots four New-York–anchored intraday reference levels—0000, 0830, 0930, 1330—as short, right-padded stubs with clean side labels. Use these time anchors (ICT-style midnight + key US windows) to frame bias, volatility pockets, and intraday trade locations.
What’s original in this version (changes)
Right-padded stubs instead of chart-wide rays — each level ends N bars past the latest candle (configurable).
Side labels at the line tip — text-only labels (0000, 0830, 0930, 1330) that sit at the right end of each stub and update every bar.
Optional prior-day history — show Today only or Today + Prior Day; older lines/labels auto-pruned.
Per-anchor controls — Display, Style, Color, Width, and Show Label for each time.
What it plots (and why)
0000 (NY Midnight): daily session anchor for bias/liquidity context.
0830 (NY): macro data window (CPI/NFP/claims) where volatility often concentrates.
0930 (NY): US cash equity market open; opening-drive structure/acceptance tests.
1330 (NY): early-afternoon anchor for continuation vs. fade.
How it works (under the hood)
Session detection: time("1", session, "America/New_York"); first bar flagged via not na(ts) and na(ts ).
Anchor price: open of that first bar per session/day.
Rendering: lines drawn with xloc=bar_index from start bar to bar_index + Right Pad; x2 updates every bar (no extend.right).
Labels: placed at line.get_x2(line) + Label Pad, soft color variant; updated per bar to stay on the tip.
History: arrays keep either today only or today + yesterday and delete anything older immediately.
How to use
Add to any intraday chart (futures/FX/indices). Anchors are always NY-time; TradingView handles DST.
Inputs
00:00 / 08:30 / 09:30 / 13:30 (NY): Display, Line Style, Color, Width, Show Label
Right Edge: Right Pad (bars) · Label Pad (bars)
History: Show Prior Day (History) — off = today only; on = today + yesterday
Suggested pads: Right Pad 2–5 bars; Label Pad 0–2.
These are context anchors, not signals. Combine with your execution model (market structure, liquidity, FVG/OBs, etc.).
Attribution & License (MPL-2.0)
Original work: “ICT NEW YORK MIDNIGHT OPEN AND 8.30 AM OPEN” by ALPHAICTRADER (MPL-2.0).
This derivative: modifications listed above; source published and kept under MPL-2.0 per license terms.
If you distribute a modified version of this Pine file, you must keep MPL-2.0, retain the copyright/licensing header, publish your modified source, and document your changes.
Notes: Pine v5. Minimalist (no day dividers). Educational tool; not financial advice.
Copyright: © ALPHAICTRADER 2022 · © Funk 2025
License: MPL-2.0
Contract Interest Turnover T3 [T69]Overview
--------
Contract Interest Turnover (CIT) estimates how “churny” a crypto derivatives market is by comparing the amount traded in a bar to the base stock of outstanding contracts (open interest). It normalizes both Volume and Open Interest (OI) by Price (Close), then plots a Turnover Rate = (Volume/Close) ÷ (OI/Close) as colored columns. Higher values = faster contract recycling (strong momentum / hype potential).
Features
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- Auto-fetch OI: Pulls OI via request.security(_OI, …) when the exchange/symbol exposes an OI stream on TradingView.
- Price-normalized comparison: Converts both Volume and OI into comparable notional terms by dividing each by Close.
- Turnover columns with threshold: Color the columns green once Turnover ≥ your set threshold; gray otherwise.
- Status-line readouts: Displays normalized Volume and OI values for quick sanity checks.
- Crypto-aware timeframe: Uses chart TF for crypto; forces daily OI when not crypto to avoid noisy intraday pulls.
How to Use
----------
1. Add the script on a perpetual/futures symbol that has OI on TradingView (e.g., BTC perps where an _OI feed exists).
2. Watch the Turnover Rate bars: spikes above your threshold flag sessions where contracts are actively flipping.
3. Interpret spikes as a signal of movement or activity — it does not specify price direction, only that the market is engaged and contracts are being traded more intensely than usual.
Configuration
-------------
- Interest Turnover Threshold (default 1.0): colors columns green when Turnover ≥ threshold. Tune per market’s typical churn profile.
Under the Hood (Formulas & Logic)
---------------------------------
- Fetch OI
oiClose ← request.security(ticker.standard(syminfo.tickerid) + "_OI", timeframe, close) with ignore_invalid_symbol = true.
If none is found, the script throws a clear runtime error.
- Normalize to price
vol_norm = volume / close
oi_norm = oiClose / close
This converts both to a common notional basis so their ratio is meaningful even as price changes.
- Turnover Rate
turnover = vol_norm / oi_norm
Interpretation: fraction/multiples of the outstanding contract base traded in the bar. Color = green if turnover ≥ threshold.
Why Open Interest ≈ “Float” Proxy
---------------------------------
In stocks, float ≈ shares the public can trade. In derivatives, there are no “shares,” so Open Interest acts as the live stock of active contracts. It’s the best proxy for “what’s available in play” because it counts open positions that persist across bars. Using Volume ÷ OI mirrors stock float-turnover logic: how fast the tradable base is being recycled each period.
Why Normalize by Price
----------------------
Derivatives volume and OI may be reported in contracts, not notional value. One contract’s economic weight changes with price (especially on inverse contracts). Dividing both Volume and OI by Close:
- Puts them on a comparable notional footing.
- Prevents false spikes purely from price moves.
- Makes Turnover comparable across time even as price trends.
Advanced Tips
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- Calibrate threshold: Start from the 80th–90th percentile of the last 60–90 bars of Turnover; set the threshold a touch below that to surface early heat.
- Add OI-delta: Layer an OI change histogram (current − prior) to separate new positioning from pure churn.
- Linear vs inverse: For linear (USDT-margined) contracts, the normalization still works and keeps visuals consistent; for inverse, it’s essential.
Limitations
-----------
- Data availability: Works only if your symbol exposes an _OI feed on TradingView; otherwise it errors out.
- Exchange conventions: Volume units differ by venue (contracts, coin, notional). Normalization mitigates, but cross-symbol comparisons still need caution.
- Intrabar gaps: OI is typically end-of-bar; rapid intrabar shifts won’t appear until the bar closes.
Notes
-----
- Designed primarily for crypto derivatives. For non-crypto, the script blanks OI to avoid misleading plots and uses a daily TF when needed.
Credit
------
- Concept & data: Built for TradingView data feeds.
- Acknowledgment: Credit to TradingView default indicator as requested.
- Source: This write-up reflects the logic present in your uploaded script.
Disclaimer
----------
Markets move; indicators simplify. Use with position sizing, hard stops, and catalyst awareness. The Turnover Rate flags activity, not direction.
HA Color Change Alerts (fixed v3)📌 Heikin Ashi Color Change Alerts
This indicator notifies you whenever a Heikin Ashi candle changes color (from red → green or green → red).
🔎 Features
Automatic Heikin Ashi calculation
Uses TradingView’s built-in Heikin Ashi source, so you don’t need to switch your chart to HA candles.
Signals on chart
Plots ▲ (green triangle) when HA changes from red → green and ▼ (red triangle) when HA changes from green → red.
Customizable alerts
You can set TradingView alerts for:
“Heikin Ashi Turned GREEN”
“Heikin Ashi Turned RED”
Options
Show/Hide the Heikin Ashi candles on top of your normal chart.
Choose whether alerts trigger only after bar close, or intrabar as soon as the color flips.
Show or hide the signal markers.
🔔 Use cases
Trend following: enter when HA flips to green, exit when it flips back to red.
Early reversal spotting: get notified when the candle momentum shifts.
Works on any symbol and timeframe.
Kalman Sigmoid Z-score | SurgeQuantTitle: Kalman Sigmoid Z-score Indicator
The Kalman Sigmoid Z-score indicator is a sophisticated tool designed to identify market momentum and potential trend changes using a combination of Kalman filtering, sigmoid-weighted averaging, and Z-score calculations. By processing price data through a Kalman filter and applying adaptive sigmoid weighting, this indicator provides clear visual signals for bullish and bearish market conditions. The Z-score output and price bars are dynamically colored to highlight momentum shifts, aiding traders in identifying potential trading opportunities.
How It Works
Kalman Filter Calculation
Computes a smoothed price series using a Kalman filter based on a user-selected price source (Close, High, Low, or Open) with configurable parameters for process noise, measurement noise, and filter order (default: 3).
The Kalman filter reduces noise in the price data, providing a stable foundation for further analysis.
Sigmoid-Weighted Averaging
Applies a sigmoid function to calculate adaptive weights based on price comparisons over a user-defined lookback period (default: 10).
Weights are adjusted dynamically using a volatility ratio (standard deviation over ATR) to account for market conditions, enhancing signal reliability.
Z-score Calculation
Calculates the Z-score of the Kalman-filtered price relative to a sigmoid-weighted moving average over a user-defined period (default: 20).
Bullish Signal: Triggered when the Z-score crosses above 0, indicating potential upward momentum.
Bearish Signal: Triggered when the Z-score crosses below 0, indicating potential downward momentum.
Visual Representation
The indicator provides a clear and customizable visual interface:
Z-score Histogram: Displayed as colored columns, with distinct colors for bullish (Z-score > 0) and bearish (Z-score < 0) conditions.
Bright green (#4DFFBE) for rising Z-score above 0.
Light green (#56DFCF) for falling Z-score above 0.
Dark purple (#AE75DA) for falling Z-score below 0.
Light purple (#4D2D8C) for rising Z-score below 0.
Price Bar Coloring: Synchronizes with the Z-score colors to reflect momentum on the main chart.
Reference Line: A zero line is plotted on the Z-score panel for easy reference.
Customization & Parameters
The Kalman Sigmoid Z-score indicator offers flexible parameters to suit various trading styles:
Source: Select the input price (default: Close; options: Close, High, Low, Open).
Lookback Period: Set the period for sigmoid weight calculations (default: 10).
Volatility Period: Adjust the period for volatility ratio calculation (default: 30).
Base Steepness: Control the sigmoid function’s sensitivity (default: 5).
Base Midpoint: Set the sigmoid function’s midpoint (default: 0.01).
Z-score Period: Define the period for Z-score calculation (default: 20).
Kalman Parameters:
Process Noise (default: 0.01).
Measurement Noise (default: 3).
Filter Order (default: 3).
Color Settings: Predefined colors with distinct shades for bullish and bearish states, ensuring clear visual differentiation.
Trading Applications
This indicator is versatile and can be applied across various markets and strategies:
Momentum Trading: Highlights strong bullish or bearish momentum for potential entry or exit points based on Z-score crossings.
Trend Confirmation: Use bar coloring to confirm Z-score signals with price action on the main chart.
Reversal Detection: Identify potential reversals when the Z-score crosses the zero line.
Scalping and Swing Trading: Adjust parameters (e.g., lookback, Z-score period) to suit short-term or longer-term strategies.
Final Note
The Kalman Sigmoid Z-score indicator is a powerful tool for traders seeking to leverage advanced filtering and statistical analysis for momentum and trend-based opportunities. Its combination of Kalman-filtered price smoothing, sigmoid-weighted averaging, dynamic Z-score signals, and synchronized bar coloring offers a robust framework for informed trading decisions. As with all indicators, backtest thoroughly and integrate into a comprehensive trading strategy for optimal results. This indicator is provided for educational and informational purposes and should not be considered financial advice.
DMI + ADX + Key Level — Carlos VizcarraMi indicador personal de adx para la estrategia de Rafael Cepeda Trader
Custom Time Range HighlightThis indicator highlights specific time ranges on your TradingView chart with customizable background colors and labels, making it easier to identify key trading sessions and ICT (Inner Circle Trader) Killzones. It is designed for traders who want to mark important market hours, such as major sessions (Asia, New York, London) or high-volatility Killzones, with full control over activation, timing, colors, and transparency.
Features
Customizable Time Ranges: Define up to 9 different time ranges, including one custom range, three major market sessions (Asia, New York, London), and five ICT Killzones (Asia, NY Open, NY Close, London Open, London Close).
Individual Activation: Enable or disable each time range independently via checkboxes in the settings. By default, only the ICT Killzones are active.
Custom Colors and Transparency: Set unique background and label colors for each range, with adjustable transparency for both.
Labeled Time Ranges: Each active range is marked with a customizable label at the start of the period, displayed above the chart for easy identification.
Priority Handling: If multiple ranges overlap, the range with the higher number (e.g., Asia Killzone over Custom Range) determines the background color.
CET Time Zone: Time ranges are based on Central European Time (CET, Europe/Vienna). Adjust the hours and minutes to match your trading needs.
Settings
The indicator settings are organized into three groups for clarity:
Custom Range: A flexible range (default: 15:30–18:00 CET) for user-defined periods.
Session - Asia, NY, London: Major market sessions (Asia: 01:00–10:00, New York: 14:00–23:00, London: 09:00–18:00 CET).
ICT Killzones - Asia, NY, London: High-volatility periods (NY Open: 13:00–16:00, NY Close: 20:00–23:00, London Open: 08:00–11:00, London Close: 16:00–18:00, Asia: 02:00–05:00 CET).
For each range, you can:
Toggle activation (default: only ICT Killzones enabled).
Adjust start and end times (hours and minutes).
Customize the label text.
Choose background and label colors with transparency levels (0–100).
How to Use
Add the indicator to your chart.
Open the settings to enable/disable specific ranges, adjust their times, or customize colors and labels.
The chart will highlight active time ranges with the selected background colors and display labels at the start of each range.
Use it to focus on key trading periods, such as ICT Killzones for high-probability setups or major sessions for market analysis.
Notes
Ensure your time ranges align with your trading instrument’s session times.
Overlapping ranges prioritize higher-numbered ranges (e.g., Asia Killzone overrides London Session).
Ideal for day traders, scalpers, or ICT strategy followers who need clear visual cues for specific market hours.
Feedback
If you have suggestions for improvements or need help with customization, feel free to leave a comment or contact the author!
NDOG & NWOG - Liquidity + Sunday Box rroielDescription:
This script combines NDOG & NWOG liquidity levels with a Sunday Box framework to provide traders with structured levels for weekly bias, liquidity mapping, and potential entry/exit zones.
Features:
• Automatic plotting of NDOG & NWOG liquidity zones.
• Sunday Box (weekly open range) drawn to define structure and bias.
• Highlights liquidity sweeps and retests for trade confirmation.
• Configurable settings for box time, liquidity range, and display options.
• Built to support ROI/EL strategies by aligning liquidity with weekly key levels.
Use Case:
Helps traders identify where price is likely to react by combining liquidity-based zones with the Sunday box framework. Designed for clarity, confluence, and efficiency in execution.
Highlight Specific Time CandleThis is a simple Pine Script tool that marks candles occurring at a chosen time of the day. You can set the hour and minute (in 24-hour format) from the inputs, and whenever a candle’s timestamp matches that time, the indicator highlights it with a symbol above the bar and an optional background colour.
This is useful for:
Identifying key intraday times (e.g., market open, midday, closing).
Spotting how price reacts at scheduled events (economic data releases, news times).
Consolidation Breakout Signal//@version=5
indicator("Consolidation Breakout Signal", overlay=true, timeframe="")
// Inputs
length = input.int(20, "Consolidation Lookback")
atrMult = input.float(1.5, "ATR Breakout Multiplier")
bbLength = input.int(20, "Bollinger Band Length")
bbMult = input.float(2.0, "Bollinger Band Width Multiplier")
// ATR for volatility
atr = ta.atr(length)
// Bollinger Bands for consolidation
basis = ta.sma(close, bbLength)
dev = bbMult * ta.stdev(close, bbLength)
upperBB = basis + dev
lowerBB = basis - dev
bbWidth = (upperBB - lowerBB) / basis * 100
// Define consolidation as narrow BB width
consolidation = bbWidth < ta.sma(bbWidth, length)
// Breakout conditions
breakUp = consolidation and close > upperBB and close > close + atrMult * atr
breakDown = consolidation and close < lowerBB and close < close - atrMult * atr
// Plot Bollinger Bands
plot(upperBB, "Upper BB", color=color.new(color.blue, 70))
plot(lowerBB, "Lower BB", color=color.new(color.blue, 70))
// Plot signals
plotshape(breakUp, title="Breakout Up", style=shape.labelup, color=color.green, text="UP 🔼", size=size.large, location=location.belowbar)
plotshape(breakDown, title="Breakout Down", style=shape.labeldown, color=color.red, text="DOWN 🔽", size=size.large, location=location.abovebar)
// Alerts
alertcondition(breakUp, title="Breakout Up Alert", message="Big Up Move Likely 🚀")
alertcondition(breakDown, title="Breakout Down Alert", message="Big Down Move Likely 📉")
Ajay Auto Pre-Market Gap + 3PM Signal (NIFTY/BANKNIFTY/SENSEX)Ajay Auto Pre-Market Gap + 3PM Signal (NIFTY/BANKNIFTY/SENSEX)
HOPE(EMA) ROPE(IC)Confucius say: Man at end of rope finds hope; man drunk on hope soon finds rope
-HaggisZero
Multi-RSI with Stochastic Oscillator - flack0xA sophisticated momentum analysis tool combining 4 customizable RSI oscillators with an innovative Close/Close Stochastic implementation. Designed for traders seeking comprehensive momentum insights across multiple timeframes in a single, organized indicator.
Key Features:
4 Independent RSI Oscillators with default periods: 2, 3, 9, 27
Innovative Close/Close Stochastic - Compares closing prices to closing price ranges (not high/low)
Complete Customization - Individual control over periods, colors, line widths, and visibility
Reference Levels - Customizable overbought (70), oversold (30), and midline (50) levels
Smart Alert System - Crossover notifications for key momentum shifts
Unique Close/Close Stochastic Methodology:
Unlike traditional Stochastic oscillators that use high/low ranges.
Benefits of Close/Close Approach:
Eliminates Gap Noise - Ignores overnight gaps and intraday wicks
Smoother Signals - Reduces whipsaws common in traditional Stochastic
Position-Relevant - Focuses on actual settlement prices traders care about
Cleaner Momentum Reading - Pure closing price momentum without intraday volatility
Global Liquidity Proxy vs BitcoinGlobal Liquidity Proxy vs Bitcoin. Helps to understand the cycles with liquidty.
Global Liquidity Proxy (Fed + ECB + BoJ + PBoC)Global Liquidity Proxy (Fed + ECB + BoJ + PBoC) Vs BTC
All in oneict trading session, silver bullet. perfect session of trading. help with timing to enter for max profit. also with high and low of previous day, week, month
