Supp_Ress_V1This indicator automatically plots support and resistance levels using confirmed pivot highs and lows, then manages them smartly by merging nearby levels, extending them, and removing them once price breaks through.
It also draws trendlines by connecting valid higher-lows (uptrend) or lower-highs (downtrend), ensuring they slope correctly and have enough spacing between pivots.
In short: it gives you a clean, trader-like map of the most relevant S/R zones and trendlines, updating dynamically as price action unfolds.
週期
Dual Volume Profiles: Session + Rolling (Range Delineation)Dual Volume Profiles: Session + Rolling (Range Delineation)
INTRO
This is a probability-centric take on volume profile. I treat the volume histogram as an empirical PDF over price, updated in real time, which makes multi-modality (multiple acceptance basins) explicit rather than assumed away. The immediate benefit is operational: if we can read the shape of the distribution, we can infer likely reversion levels (POC), acceptance boundaries (VAH/VAL), and low-friction corridors (LVNs).
My working hypothesis is that what traders often label “fat tails” or “power-law behavior” at short horizons is frequently a tail-conditioned view of a higher-level Gaussian regime. In other words, child distributions (shorter periodicities) sit within parent distributions (longer periodicities); when price operates in the parent’s tail, the child regime looks heavy-tailed without being fundamentally non-Gaussian. This is consistent with a hierarchical/mixture view and with the spirit of the central limit theorem—Gaussian structure emerges at aggregate scales, while local scales can look non-Gaussian due to nesting and conditioning.
This indicator operationalizes that view by plotting two nested empirical PDFs: a rolling (local) profile and a session-anchored profile. Their confluence makes ranges explicit and turns “regime” into something you can see. For additional nesting, run multiple instances with different lookbacks. When using the default settings combined with a separate daily VP, you effectively get three nested distributions (local → session → daily) on the chart.
This indicator plots two nested distributions side-by-side:
Rolling (Local) Profile — short-window, prorated histogram that “breathes” with price and maps the immediate auction.
Session Anchored Profile — cumulative distribution since the current session start (Premkt → RTH → AH anchoring), revealing the parent regime.
Use their confluence to identify range floors/ceilings, mean-reversion magnets, and low-volume “air pockets” for fast traverses.
What it shows
POC (dashed): central tendency / “magnet” (highest-volume bin).
VAH & VAL (solid): acceptance boundaries enclosing an exact Value Area % around each profile’s POC.
Volume histograms:
Rolling can auto-color by buy/sell dominance over the lookback (green = buying ≥ selling, red = selling > buying).
Session uses a fixed style (blue by default).
Session anchoring (exchange timezone):
Premarket → anchors at 00:00 (midnight).
RTH → anchors at 09:30.
After-hours → anchors at 16:00.
Session display span:
Session Max Span (bars) = 0 → draw from session start → now (anchored).
> 0 → draw a rolling window N bars back → now, while still measuring all volume since session start.
Why it’s useful
Think in terms of nested probability distributions: the rolling node is your local Gaussian; the session node is its parent.
VA↔VA overlap ≈ strong range boundary.
POC↔POC alignment ≈ reliable mean-reversion target.
LVNs (gaps) ≈ low-friction corridors—expect quick moves to the next node.
Quick start
Add to chart (great on 5–10s, 15–60s, 1–5m).
Start with: bins = 240, vaPct = 0.68, barsBack = 60.
Watch for:
First test & rejection at overlapping VALs/VAHs → fade back toward POC.
Acceptance beyond VA (several closes + growing outer-bin mass) → traverse to the next node.
Inputs (detailed)
General
Lookback Bars (Rolling)
Count of most-recent bars for the rolling/local histogram. Larger = smoother node that shifts slower; smaller = more reactive, “breathing” profile.
• Typical: 40–80 on 5–10s charts; 60–120 on 1–5m.
• If you increase this but keep Number of Bins fixed, each bin aggregates more volume (coarser bins).
Number of Bins
Vertical resolution (price buckets) for both rolling and session histograms. Higher = finer detail and crisper LVNs, but more line objects (closer to platform limits).
• Typical: 120–240 on 5–10s; 80–160 on 1–5m.
• If you hit performance or object limits, reduce this first.
Value Area %
Exact central coverage for VAH/VAL around POC. Computed empirically from the histogram (no Gaussian assumption): the algorithm expands from POC outward until the chosen % is enclosed.
• Common: 0.68 (≈“1σ-like”), 0.70 for slightly wider core.
• Smaller = tighter VA (more breakout flags). Larger = wider VA (more reversion bias).
Max Local Profile Width (px)
Horizontal length (in pixels) of the rolling bars/lines and its VA/POC overlays. Visual only (does not affect calculations).
Session Settings
RTH Start/End (exchange tz)
Defines the current session anchor (Premkt=00:00, RTH=your start, AH=your end). The session histogram always measures from the most recent session start and resets at each boundary.
Session Max Span (bars, 0 = full session)
Display window for session drawings (POC/VA/Histogram).
• 0 → draw from session start → now (anchored).
• > 0 → draw N bars back → now (rolling look), while still measuring all volume since session start.
This keeps the “parent” distribution measurable while letting the display track current action.
Local (Rolling) — Visibility
Show Local Profile Bars / POC / VAH & VAL
Toggle each overlay independently. If you approach object limits, disable bars first (POC/VA lines are lighter).
Local (Rolling) — Colors & Widths
Color by Buy/Sell Dominance
Fast uptick/downtick proxy over the rolling window (close vs open):
• Buying ≥ Selling → Bullish Color (default lime).
• Selling > Buying → Bearish Color (default red).
This color drives local bars, local POC, and local VA lines.
• Disable to use fixed Bars Color / POC Color / VA Lines Color.
Bars Transparency (0–100) — alpha for the local histogram (higher = lighter).
Bars Line Width (thickness) — draw thin-line profiles or chunky blocks.
POC Line Width / VA Lines Width — overlay thickness. POC is dashed, VAH/VAL solid by design.
Session — Visibility
Show Session Profile Bars / POC / VAH & VAL
Independent toggles for the session layer.
Session — Colors & Widths
Bars/POC/VA Colors & Line Widths
Fixed palette by design (default blue). These do not change with buy/sell dominance.
• Use transparency and width to make the parent profile prominent or subtle.
• Prefer minimal? Hide session bars; keep only session VA/POC.
Reading the signals (detailed playbook)
Core definitions
POC — highest-volume bin (fair price “magnet”).
VAH/VAL — upper/lower bounds enclosing your Value Area % around POC.
Node — contiguous block of high-volume bins (acceptance).
LVN — low-volume gap between nodes (low friction path).
Rejection vs Acceptance (practical rule)
Rejection at VA edge: 0–1 closes beyond VA and no persistent growth in outer bins.
Acceptance beyond VA: ≥3 closes beyond VA and outer-bin mass grows (e.g., added volume beyond the VA edge ≥ 5–10% of node volume over the last N bars). Treat acceptance as regime change.
Confluence scores (make boundary/target quality objective)
VA overlap strength (range boundary):
C_VA = 1 − |VA_edge_local − VA_edge_session| / ATR(n)
Values near 1.0 = tight overlap (stronger boundary).
Use: if C_VA ≥ 0.6–0.8, treat as high-quality fade zone.
POC alignment (magnet quality):
C_POC = 1 − |POC_local − POC_session| / ATR(n)
Higher C_POC = greater chance a rotation completes to that fair price.
(You can estimate these by eye.)
Setups
1) Range Fade at VA Confluence (mean reversion)
Context: Local VAL/VAH near Session VAL/VAH (tight overlap), clear node, local color not screaming trend (or flips to your side).
Entry: First test & rejection at the overlapped band (wick through ok; prefer close back inside).
Stop: A tick/pip beyond the wider of the two VA edges or beyond the nearest LVN, a small buffer zone can be used to judge whether price is truly rejecting a VAL/VAH or simply probing.
Targets: T1 node mid; T2 POC (size up when C_POC is high).
Flip: If acceptance (rule above) prints, flip bias or stand down.
2) LVN Traverse (continuation)
Context: Price exits VA and enters an LVN with acceptance and growing outer-bin volume.
Entry: Aggressive—first close into LVN; Conservative—retest of the VA edge from the far side (“kiss goodbye”).
Stop: Back inside the prior VA.
Targets: Next node’s VA edge or POC (edge = faster exits; POC = fuller rotations).
Note: Flatter VA edge (shallower curvature) tends to breach more easily.
3) POC→POC Magnet Trade (rotation completion)
Context: Local POC ≈ Session POC (high C_POC).
Entry: Fade a VA touch or pullback inside node, aiming toward the shared POC.
Stop: Past the opposite VA edge or LVN beyond.
Target: The shared POC; optional runner to opposite VA if the node is broad and time-of-day is supportive.
4) Failed Break (Reversion Snap-back)
Context: Push beyond VA fails acceptance (re-enters VA, outer-bin growth stalls/shrinks).
Entry: On the re-entry close, back toward POC.
Stop/Target: Stop just beyond the failed VA; target POC, then opposite VA if momentum persists.
How to read color & shape
Local color = most recent sentiment:
Green = buying ≥ selling; Red = selling > buying (over the rolling window). Treat as context, not a standalone signal. A green local node under a blue session VAH can still be a fade if the parent says “over-valued.”
Shape tells friction:
Fat nodes → rotation-friendly (fade edges).
Sharp LVN gaps → traversal-friendly (momentum continuation).
Time-of-day intuition
Right after session anchor (e.g., RTH 09:30): Session profile is young and moves quickly—treat confluence cautiously.
Mid-session: Cleanest behavior for rotations.
Close / news: Expect more traverses and POC migrations; tighten risk or switch playbooks.
Risk & execution guidance
Use tight, mechanical stops at/just beyond VA or LVN. If you need wide stops to survive noise, your entry is late or the node is unstable.
On micro-timeframes, account for fees & slippage—aim for targets paying ≥2–3× average cost.
If acceptance prints, don’t fight it—flip, reduce size, or stand aside.
Suggested presets
Scalp (5–10s): bins 120–240, barsBack 40–80, vaPct 0.68–0.70, local bars thin (small bar width).
Intraday (1–5m): bins 80–160, barsBack 60–120, vaPct 0.68–0.75, session bars more visible for parent context.
Performance & limits
Reuses line objects to stay under TradingView’s max_lines_count.
Very large bins × multiple overlays can still hit limits—use visibility toggles (hide bars first).
Session drawings use time-based coordinates to avoid “bar index too far” errors.
Known nuances
Rolling buy/sell dominance uses a simple uptick/downtick proxy (close vs open). It’s fast and practical, but it’s not a full tape classifier.
VA boundaries are computed from the empirical histogram—no Gaussian assumption.
This script does not calculate the full daily volume profile. Several other tools already provide that, including TradingView’s built-in Volume Profile indicators. Instead, this indicator focuses on pairing a rolling, short-term volume distribution with a session-wide distribution to make ranges more explicit. It is designed to supplement your use of standard or periodic volume profiles, not replace them. Think of it as a magnifying lens that helps you see where local structure aligns with the broader session.
How to trade it (TL;DR)
Fade overlapping VA bands on first rejection → target POC.
Continue through LVN on acceptance beyond VA → target next node’s VA/POC.
Respect acceptance: ≥3 closes beyond VA + growing outer-bin volume = regime change.
FAQ
Q: Why 68% Value Area?
A: It mirrors the “~1σ” idea, but we compute it exactly from empirical volume, not by assuming a normal distribution.
Q: Why are my profiles thin lines?
A: Increase Bars Line Width for chunkier blocks; reduce for fine, thin-line profiles.
Q: Session bars don’t reach session start—why?
A: Set Session Max Span (bars) = 0 for full anchoring; any positive value draws a rolling window while still measuring from session start.
Changelog (v1.0)
Dual profiles: Rolling + Session with independent POC/VA lines.
Session anchoring (Premkt/RTH/AH) with optional rolling display span.
Dynamic coloring for the rolling profile (buying vs selling).
Fully modular toggles + per-feature colors/widths.
Thin-line rendering via bar line width.
Historical & Periodic Key LevelsHistorical & Periodic Key Levels
This indicator automatically plots historical key levels (ATH/ATL) and periodic closing levels (Daily, Weekly, Monthly, Yearly). It highlights major price zones frequently used in technical and institutional trading.
Key Features:
Dynamic ATH/ATL: tracks all-time high/low with date annotation.
Periodic Closes: previous D/W/M/Y closes with directional coloring.
Adaptive Colors: green/red based on bullish or bearish close.
Full Customization: toggle visibility, colors, line width, text alignment, and label text.
Smart Label Management: prevents overlap by cycling through label styles automatically.
Usage:
Identify strong support/resistance levels.
Monitor key closing prices across multiple timeframes.
Enhance swing trading and long-term analysis with institutional reference levels.
Inputs:
Levels Visibility: show/hide ATH, ATL, and periodic closes.
ATH/ATL Style Settings: line colors, label prefix, width, and text alignment.
Periodic Levels Style: label text (D/W/M/Y), line width, alignment, and bullish/bearish colors.
Notes:
Levels adjust automatically to the active chart timeframe.
Lower timeframe levels are hidden when redundant (e.g., daily close on daily chart).
TTW-Day/Session Separator🗓️ Day Separator – Highlight Markers start times and days for Your Chart
This script adds automatic vertical lines to visually separate each trading day on your chart. It helps you quickly identify where each day starts and ends — especially useful for intraday and scalping strategies.
✅ Features:
Distinct lines for each weekday, month, week, trading session
Optional day-of-week labels (toggle on/off)
Custom label position (top or bottom of the chart)
Works on any timeframe
Whether you're tracking market sessions or reviewing daily price action, this tool gives you a clean structure to navigate your charts with more clarity.
FX Alex G Multi-TF Alignment & Engulfing Screener with IconsThis is FXAlexG inspired, 4 timeframes alignment:-
Add to TradingView:
Open TradingView (tradingview.com) and go to the Pine Editor (bottom panel).
Copy-paste the provided Pine Script code into the editor.
Click "Save" (name it, e.g., "FX Alex G Screener").
Click "Add to Chart" to apply it to a 15-minute (15M) chart.
Select Chart:
Use a 15M timeframe chart for any asset (crypto, forex, stocks, e.g., BTC/USD, EUR/USD).
Ensure the chart has sufficient historical data (at least 100 bars) for accurate swing detection.
Interpret Alignment Signals:
4TF Bull Align (4B): Green diamond above bar = all 4 timeframes (Daily, 4H, 1H, 15M) are bullish (close > EMA50), price near swing low, high volume.
4TF Bear Align (4S): Red diamond below bar = all 4 TFs bearish (close < EMA50), price near swing high, high volume.
3TF Bull Align (3B): Lime triangle above bar = 3 TFs bullish, near swing low, high volume.
3TF Bear Align (3S): Maroon triangle below bar = 3 TFs bearish, near swing high, high volume.
2TF Bull Align (2B): Yellow circle above bar = 2 TFs bullish, near swing low, high volume.
2TF Bear Align (2S): Orange circle below bar = 2 TFs bearish, near swing high, high volume.
Identify Entry Signals:
Bull Entry: Green triangle below bar = bullish engulfing candle at a swing low, at least 2 TFs bullish, price within 2% of swing low, high volume.
Bear Entry: Red triangle above bar = bearish engulfing candle at a swing high, at least 2 TFs bearish, price within 2% of swing high, high volume.
Use for Screening:
Manually apply to multiple assets on 15M charts to check for alignment/entry signals.
For automated screening, publish the script publicly (in Pine Editor, click "Publish Script"), then use TradingView’s Screener with custom script filters (select your published script).
Filter for assets showing "4B", "3B", "2B", "Bull Entry" (bullish) or "4S", "3S", "2S", "Bear Entry" (bearish).
Visual Aids:
Orange line: EMA(50) on 15M chart for trend context.
Blue dashed line: Recent swing low level.
Red dashed line: Recent swing high level.
Customize (Optional):
Adjust EMA length (default 50) or swing lookback (default 5 bars) in the script’s code.
Modify proximity threshold (default 2%) or volume multiplier (default 1.5x) by editing the script.
Trading Notes:
Use signals as a starting point; confirm with your own analysis (e.g., support/resistance, market structure).
Set stop-losses below swing lows (bullish) or above swing highs (bearish) as per FX Alex G’s risk management.
Test on historical data before live trading.
Troubleshooting:
No signals? Ensure the 15M chart is active and has enough data. Check if volume is low or price is far from swings.
Too many signals? Increase proximity threshold (e.g., from 2% to 1%) or swing lookback (e.g., from 5 to 7) in the code.
Transfer Function Filter [theUltimator5]The Transfer Function Filter is an engineering style approach to transform the price action on a chart into a frequency, then filter out unwanted signals using Butterworth-style filter approach.
This indicator allows you to analyze market structure by isolating or removing different frequency components of price movement—similar to how engineers filter signals in control systems and electrical circuits.
🔎 Features
Four Filter Types
• Low Pass Filter – Smooths price data, highlighting long-term trends while filtering out short-term noise. This filter acts similar to an EMA, removing noisy signals, resulting in a smooth curve that follows the price of the stock relative to the filter cutoff settings.
Real world application for low pass filter - Used in power supplies to provide a clean, stable power level.
• High Pass Filter – Removes slow-moving trends to emphasize short-term volatility and rapid fluctuations. The high pass filter removes the "DC" level of the chart, removing the average price moves and only outputting volatility.
Real world application for high pass filter - Used in audio equalizers to remove low-frequency noise (like rumble) while allowing higher frequencies to pass through, improving sound clarity.
• Band Pass Filter – Allows signals to plot only within a band of bar ranges. This filter removes the low pass "DC" level and the high pass "high frequency noise spikes" and shows a signal that is effectively a smoothed volatility curve. This acts like a moving average for volatility.
Real world application for band pass filter - Radio stations only allow certain frequency bands so you can change your radio channel by switching which frequency band your filter is set to.
• Band Stop Filter – Suppresses specific frequency bands (cycles between two cutoffs). This filter allows through the base price moving average, but keeps the high frequency volatility spikes. It allows you to filter out specific time interval price action.
Real world application for band stop filter - If there is prominent frequency signal in the area which can cause unnecessary noise in your system, a band stop filter can cancel out just that frequency so you get everything else
Configurable Parameters
• Cutoff Periods – Define the cycle lengths (in bars) to filter. This is a bit counter-intuitive with the numbering since the higher the bar count on the low-pass filter, the lower the frequency cutoff is. The opposite holds true for the high pass filter.
• Filter Order – Adjust steepness and responsiveness (higher order = sharper filtering, but with more delay).
• Overlay Option – Display Low Pass & Band Stop outputs directly on the price chart, or in a separate pane. This is enabled by default, plotting the filters that mimic moving averages directly onto the chart.
• Source Selection – Apply filters to close, open, high, low, or custom sources.
Histograms for Comparison
• BS–LP Histogram – Shows distance between Band Stop and Low Pass filters.
• BP–HP Histogram – Highlights differences between Band Pass and High Pass filters.
Histograms give the visualization of a pseudo-MACD style indicator
Visual & Informational Aids
• Customizable colors for each filter line.
• Optional zero-line for histogram reference.
• On-chart info table summarizing active filters, cutoff settings, histograms, and filter order.
📊 Use Cases
Trend Detection – Use the Low Pass filter to smooth noise and follow underlying market direction.
Volatility & Cycle Analysis – Apply High Pass or Band Pass to capture shorter-term patterns.
Noise Suppression – Deploy Band Stop to remove specific choppy frequencies.
Momentum Insight – Watch the histograms to spot divergences and relative filter strength.
Elliott Wave Detector with FibonacciDetermines what timeframe (if any) the underlying asset displays congruence with Elliot Waves, validated by examining the congruence of the waves with fibonacci patterns. Like all backwards-looking indicators, any actual match will be a very pretty coincidence rather than any kind of indicator of potential future behaviour,
Nasdaq Sentiment DashboardBuilds a composite sentiment state — RISK-ON / NEUTRAL / RISK-OFF — using three legs:
Volatility: CBOE VXN vs its moving average and absolute thresholds (risk-on when low & below MA; risk-off when high & above MA).
Breadth (quality of participation): QQEW/QQQ ratio vs its MA (equal-weight beating cap-weight = healthier breadth).
Advance/Decline (intraday breadth): advdec.nq vs its MA, with a magnitude filter (ignores tiny A/D days).
How it works
Pulls each series on your chosen signal timeframe (default Daily).
Creates binary signals per leg:
Vol: volOn if VXN < MA and < vxnLower; volOff if VXN > MA and > vxnUpper.
Breadth: brOn if QQEW/QQQ is above its MA by a deadband; brOff if below.
A/D: adOn if A/D > MA and above adMin; adOff if below MA and < -adMin.
Scores each leg (+1 on, −1 off, 0 neutral) → sums to −3…+3.
State rule (default): RISK-ON if score ≥ +2, RISK-OFF if ≤ −2, else NEUTRAL (i.e., need 2 of 3 to agree).
Detects flips (changes in state) and provides alert conditions that fire only on the flip bar.
What you see
Lines for VXN & MA, QQEW/QQQ & MA, A/D & MA.
Background color shows current composite state.
Triangle markers on the flip bar (up for ON, down for OFF).
A top-right table summarizing state, each leg vs its MA, and the composite score.
How to tune
Vol thresholds: vxnLower / vxnUpper.
Breadth whipsaw control: deadbandBps around the ratio’s MA.
A/D sensitivity: adMin and adMaLen.
Stricter regime: require all 3 to agree by changing the state line to score == 3 / -3.
BTC Power Law Valuation BandsBTC Power Law Rainbow
A long-term valuation framework for Bitcoin based on Power Law growth — designed to help identify macro accumulation and distribution zones, aligned with long-term investor behavior.
🔍 What Is a Power Law?
A Power Law is a mathematical relationship where one quantity varies as a power of another. In this model:
Price ≈ a × (Time)^b
It captures the non-linear, exponentially slowing growth of Bitcoin over time. Rather than using linear or cyclical models, this approach aligns with how complex systems, such as networks or monetary adoption curves, often grow — rapidly at first, and then more slowly, but persistently.
🧠 Why Power Law for BTC?
Bitcoin:
Has finite supply and increasing adoption.
Operates as a monetary network , where Metcalfe’s Law and power laws naturally emerge.
Exhibits exponential growth over logarithmic time when viewed on a log-log chart .
This makes it uniquely well-suited for power law modeling.
🌈 How to Use the Valuation Bands
The central white line represents the modeled fair value according to the power law.
Colored bands represent deviations from the model in logarithmic space, acting as macro zones:
🔵 Lower Bands: Deep value / Accumulation zones.
🟡 Mid Bands: Fair value.
🔴 Upper Bands: Euphoria / Risk of macro tops.
📐 Smart Money Concepts (SMC) Alignment
Accumulation: Occurs when price consolidates near lower bands — often aligning with institutional positioning.
Markup: As price re-enters or ascends the bands, we often see breakout behavior and trend expansion.
Distribution: When price extends above upper bands, potential for exit liquidity creation and distribution events.
Reversion: Historically, price mean-reverts toward the model — rarely staying outside the bands for long.
This makes the model useful for:
Cycle timing
Long-term DCA strategy zones
Identifying value dislocations
Filtering short-term noise
⚠️ Disclaimer
This tool is for educational and informational purposes only . It is not financial advice. The power law model is a non-predictive, mathematical framework and does not guarantee future price movements .
Always use additional tools, risk management, and your own judgment before making trading or investment decisions.
Sessions FX (Asia, London, Pre-NY, NY)sessions indicator, recommend to use with black bars on ur charts, zoom in and zoom out... should help identify key levels and market structure much simpler. ya welcome
True Opens - (SpeculatorBryan)Overview
This indicator provides a complete framework of key institutional levels by plotting the "True Open" price for the Month, Week, Day, and Intraday Sessions. Instead of using standard chart opens, it uses specific, globally significant times (based in the NY timezone) to identify levels that price action traders watch closely for support, resistance, and market direction.
What It Does
True Monthly Open (TMO): The key macro level, marking the start of the month's trading.
True Weekly Open (TWO): Arguably the most important level, defining the weekly bias. Based on the Sunday evening start of the forex trading week.
True Daily Open (TDO): The New York midnight open, marking the true start of the institutional 24-hour cycle.
True Session Opens (TSO): Key intraday opens (e.g., London, NY) for finding entries and exits on lower timeframes.
Key Features
Clean Forward Projection: All lines and labels project into the future, so you always see the levels in your current price action.
Full Styling Control: Customize the color, style (solid, dashed, dotted), and text for every level to match your chart theme.
Intelligent Display: Levels automatically show on appropriate timeframes to keep your chart clutter-free. Use the "Stacked Opens" feature to override this.
Lightweight & Efficient: Optimized to run smoothly without lagging your chart.
How to Use It
Look for price to react at these levels. A bounce can signal a continuation, while a clean break and retest can signal a change in market structure. Use the higher-timeframe opens (TMO, TWO) as major anchors for your overall bias and the lower-timeframe opens (TDO, TSO) for fine-tuning your entries and exits.
Multi-Minute Interval MarkerTesting
Apply this to a 15-second chart (e.g., SOL/USDT).
Verify that thin vertical lines with "1" (grey) and "5" (yellow) appear above the candles at 4-candle (1-minute) and 20-candle (5-minute) intervals, respectively.
The numbers should be positioned above the lines, and you can toggle the markers with show1Min and show5Min.
Macros [OutOfOptions]This indicator highlights macro times on the chart and provides visual and system alerts before a macro begins.
Unlike other macro indicators, this one supports unlimited macro configurations using the format 'HH:mm-HH:mm : Description' . By default, it includes a mix of ICT and Hydra macro times. Incorrect formatting in settings triggers an error, and clicking the "!" error message identifies the problematic configuration line.
You can customize all visual elements, including whether to display Top, Bottom, or 50% lines, highlight the macro zone, or label the macro.
To reduce chart clutter, you can also limit the number of past macros displayed.
For alerts, you can set the advance warning time in minutes and customize the visual alert style (e.g., a vertical line) if enabled.
The indicator is compatible with timeframes of 5 minutes or less; higher timeframes will generate an error.
CycleTrend | QuantEdgeB📊 CycleTrend | QuantEdgeB
The CycleTrend strategy is a comprehensive trend-following system that integrates multiple advanced techniques, including on-chain data analysis, macroeconomic indicators, trend filters, and statistical smoothing functions.
This strategy dynamically adapts to market conditions by blending traditional technical analysis tools with modern quantitative finance approaches, making it a powerful hybrid model suitable for different market regimes.
🔗 The Core Framework of CycleTrend
🧩 1️⃣ Multi-Dimensional Market Analysis
CycleTrend incorporates four key dimensions of market structure, ensuring that it captures long-term, medium-term, and short-term trends while filtering out noise.
✔ On-Chain Data (MosaicMix) → Detects long-term trends using blockchain analytics.
✔ Macro & Risk Indicators (RiskMosaic) → Measures macroeconomic influences on market behavior.
✔ ChronoSync (Technical Trend-Following Signals) → Blends multiple trend-following indicators for directional bias.
✔ Sentival TF (Statistical Sentiment Analysis) → Uses Z-score-based mean-reversion indicators for overbought/oversold conditions.
📊 2️⃣ How These Components Work Together
Each component contributes a specific function to the strategy:
1. On-Chain Analysis (MosaicMix) → Market Strength
o Short-Term Holder MVRV → Measures unrealized profit/loss based on recent Bitcoin holders.
o Profit & Loss Ratio with MVRV Rate of Change (PLRoC) → Filters out weak market conditions using profit/loss trend dynamics.
o Final On-Chain Signal → Determines if on-chain data suggests a bullish or bearish phase.
2. RiskMosaic (Macroeconomic & Risk Model) → Risk-Regime Detection
o Tracks 10 key economic variables like RSI, China Equity Index, PMI, BTC supply trends, and silver ratio.
o Uses Z-score normalization to measure relative trends across macro indicators.
o Identifies shifts in macroeconomic risk sentiment and aligns CycleTrend to major economic cycles.
3. ChronoSync (Technical Trend Model) → Precise Trade Execution
o VIDYA ATR Gaussian Filter → Detects long-term trend momentum with adaptive smoothing.
o KIJUN ATR & Dual SD Kijun → Captures structural price movements while filtering short-term volatility.
o VIDYA Loop Function → Iteratively tracks trend momentum over an extended period.
o PRC-ALMA Adaptive Bands & Bollinger Bands % SD → Adapts trend signals based on mean-reverting conditions.
o Final ChronoSync Score → Aggregates all trend-following components to generate high-probability directional bias.
4. Sentival TF (Mean-Reversion & Momentum Filter) → Smart Entry/Exit Signals
o MVRV Z-Score → Measures how overbought/oversold Bitcoin is relative to historical valuations.
o SOPR, BB%, RSI, RoC, and NUPL Indicators → Filters out low-confidence trade setups by adding statistical validation.
o Final Sentival Signal → A quantitative assessment of whether a trade setup has a statistical edge.
🛠️ 3️⃣ CycleTrend Signal Generation
Once all four components (On-Chain, Macro, ChronoSync, and Sentival) produce signals, they are blended into a final CycleTrend score (TPI):
TPI=On-Chain RiskMosaic + Sentival-Chrono Trend BiasTPI = \text{On-Chain RiskMosaic + Sentival-Chrono Trend Bias}
The strategy then applies threshold-based decision rules:
✔ Go Long (BUY) → If TPI>LuTPI > Lu (Long Threshold)
✔ Go Short (SELL) → If TPI<SuTPI < Su (Short Threshold)
These entry/exit signals dynamically adjust based on market conditions, allowing CycleTrend to trade adaptively.
🚀 Why This Strategy Works
✔ Hybrid Trend-Following & Risk-Adaptive System → Works in trending and ranging markets.
✔ Incorporates On-Chain and Macro Factors → Provides a deeper understanding of market sentiment.
✔ Filters Out False Signals with Statistical Analysis → Reduces whipsaws and improves entry timing.
✔ Adjusts to Different Market Phases → Dynamically adapts to volatility cycles and economic shifts.
✔ Scientifically Validated Approach → Uses Z-score normalization, Gaussian filters, and statistical thresholds for optimal trade execution.
📌 Summary
CycleTrend is a state-of-the-art universal strategy that blends:
✅ Quantitative Finance 📊
✅ Blockchain On-Chain Analysis 🟢
✅ Macroeconomic Insights 🌍
✅ Statistical Signal Processing 🔍
By integrating multiple timeframes, risk models, and sentiment-driven filters, CycleTrend remains robust across different market regimes—whether trending or ranging.
This unique approach ensures that the system stays ahead of market cycles, delivering strong and consistent performance. 🚀
🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
kênh giá *** ahihiYou extract:
Core balance point of each time frame
Compare single value
Pure trend hierarchy 📊
This is:
Eastern philosophy meets Western efficiency
"Great Simple" (大道至简)
Occam's razor in trading! ✂️
Compare the midpoint = "Trendy point"!
You not only apply Ichimoku but also understand its nature! 🧘♂️
Master insight! 🙏✨
Sessions X worstfxThe only sessions indicator you need
yellow x Asia
purple x London
pre NY x aqua
NY x aqua
turn this indicator on observe why these area are marked, and what happens more often then not. if used properly you will see how sessions create market structure/price action. I recommend to use with only black candles. You will never see charts the same again and make things possibly less complicated
smc-vol ••• ahihi🚀 User Guide – SMC-Vol Optimized
📖 Overview
This indicator integrates Smart Money Concepts (SMC) with Volume Analysis to identify high-quality trade entries based on smart money flow behavior.
🎛️ BASIC SETTINGS
Enable/Disable Features
Inside Bar: Show inside/outside bars
PKV: Price-Volume Divergence patterns
HV Monitor: Track High Volume candles (MOST IMPORTANT!)
Color Settings
High Volume Candle: Yellow (default)
PKV: Purple
HV Break: Orange (when HV level is broken)
Daily Open: Blue
📊 HIGH VOLUME (HV) ANALYSIS
HV Settings:
Volume Ratio: 100 (lookback for highest volume)
SNR %: 46% (minimum body/range ratio)
Bars to Monitor: 5 bars (after HV candle appears)
How to Read HV:
Yellow = High Volume candle
Fuchsia = SNR (Supply & Demand Reversal)
🚨 "X" = Pattern breaking HV levels
HV Monitor Table (bottom left corner):
HV Monitor | Status | Details
Last HV | 3B ago | 1.2345/1.2300
Break Status | WATCHING | 3/5
Monitor | 5 Bars | After HV
🎯 TRADING STRATEGY
Step 1: Identify High Volume Candle
Wait for a yellow candle (HV confirmed)
Mark HV High & HV Low
Table shows status: "CURRENT"
Step 2: Track the Next 5 Bars
Table shows "WATCHING" with count (1/5, 2/5…)
Look for patterns:
SKU/SKD: Supply & Demand patterns
SNR_UP/SNR_DOWN: Reversal patterns
CHUOT_UP/CHUOT_DOWN: Hammer / Shooting Star
SK_MOM: Momentum patterns
Step 3: Entry on Pattern Break
🚨 Alert triggers when pattern breaks HV levels
BUY: Break above HV High
SELL: Break below HV Low
🔥 MAIN PATTERNS
SK (Supply/Demand)
SKU (▪️ below candle): Demand pattern, wait for HV Low break → BUY
SKD (▪️ above candle): Supply pattern, wait for HV High break → SELL
CHUOT (Mouse/Hammer)
CU (below): Hammer with long lower wick
CD (above): Shooting Star with long upper wick
SNR (Supply & Demand Reversal)
Small body candle (<46% of range) with low volume
↑ Break HV → Bullish reversal above HV High
↓ Break HV → Bearish reversal below HV Low
📈 MOVING AVERAGES
Three customizable MAs:
MA #1: EMA 21 (Yellow) – Short-term trend
MA #2: EMA 9 (White) – Entry timing
MA #3: EMA 50 (Green) – Long-term trend
Usage:
Bullish: Price > MA #3, MA #2 > MA #1
Entry when: Pattern break + price retest on MA
⏰ SESSION ANALYSIS
Session A (New York):
Range Box: NY Session (19:59–21:59)
Max/Min Lines: Draw session high/low
Custom Sessions:
Pre-Session (11:00–12:00): Blue Box
Main Session (12:00–13:00): Teal Box
Watch for breakout from these ranges
💰 COMPLETE TRADING SETUP
Entry Setup:
Identify HV (Yellow candle)
Wait for pattern (within 1–5 bars)
Confirm Break (🚨 alert + level break)
Enter in breakout direction
SL: Above/Below HV level (depending on direction)
TP: 1:2 or 1:3 Risk/Reward
Extra Filters:
Volume: Enter with increasing volume
MAs: Only trade in main trend direction
Sessions: Prefer entries during active sessions
🚨 ALERTS & NOTIFICATIONS
Two main alerts:
"Price breaks HV directly" → SNR break
"HV level broken" → Pattern break within 5 bars
Setup:
Right-click indicator → "Add Alert"
Select condition
Set notifications (email / Telegram / app)
🎯 TIPS & TRICKS
✅ DO:
Wait for HV confirmation before setup
Trade with trend (MA direction)
Use strict risk management (1–2% per trade)
Backtest before live trading
❌ DON’T:
Enter immediately on pattern (wait for confirmation)
Ignore volume (Volume is key!)
Chase price after breakout
Trade against major trend
💡 Pro Tips:
Combine with Price Action for better entries
Use Multi-Timeframe Analysis
Focus on major pairs in key sessions
Keep a Trading Journal to track performance
📞 SUPPORT & UPDATES
The indicator is continuously optimized to:
Reduce lag & increase accuracy
Add new features
Fix bugs & improve UX
Happy Trading! 🚀💰
Arpitjainforex.com Trend DeciderHello All, This Indicator Helps you to identify if its going to be a Trending Day or A choppy Day.
Not sure if it can make huge profits, but will definitely save you from big losses when you enter revenge trading on a choppy day.
Decide if its trending or not, And Blindly Follow the Buy/Sell Bot on 5 min Timeframe to make best out of Trading.
Joe Ngushuals Fib stratThis tool is the ideal choice for developing effective Futures trading strategies. It provides you with precise entry points that indicate the optimal times to buy or sell. With an impressive win rate of 90%, it significantly enhances your chances of success in the market
Forex Killzone Marker By Deepesh//@version=5
indicator("Forex Killzone Marker", overlay=true)
// Convert IST to UTC
// IST = UTC +5:30
// London Killzone: 11:30 AM – 12:30 PM IST = 06:00 – 07:00 UTC
// NY Killzone: 5:30 PM – 6:30 PM IST = 12:00 – 13:00 UTC
// === Time Filtering: Only last 7 days === //
lookbackDays = 7
startFilterTime = timestamp("Etc/UTC", year, month, dayofmonth, hour, minute) - lookbackDays * 24 * 60 * 60 * 1000
isWithinLastWeek = time >= startFilterTime
// === Killzone Range Functions === //
inKillzone(startHour, startMin, endHour, endMin) =>
startTime = timestamp("Etc/UTC", year, month, dayofmonth, startHour, startMin)
endTime = timestamp("Etc/UTC", year, month, dayofmonth, endHour, endMin)
time >= startTime and time < endTime
// Killzone Windows
inLondonKillzone = inKillzone(6, 0, 7, 0)
inNYKillzone = inKillzone(12, 0, 13, 0)
// === Background Marking === //
bgcolor(isWithinLastWeek and inLondonKillzone ? color.new(color.green, 85) : na)
bgcolor(isWithinLastWeek and inNYKillzone ? color.new(color.orange, 85) : na)
Altcoin-Season Indicator (ASI)Altcoin Season Indicator (ASI) — Invite Only
The ASI is not just another standard oscillator .
It identifies with impressive precision when an altcoin is reaching local tops – often exactly at the peak of an altcoin season – and when a true bottom formation is taking place.
Uniqueness:
It dynamically adapts to every market phase and to each individual altcoin.
This avoids two of the biggest mistakes:
- Entering too early into ongoing sell-offs ( “catching a falling knife” )
- Exiting too early before actual overheating
The result: maximum flexibility, highest precision.
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Usage:
- Timeframe: 1D (recommended), 8h only for very young coins
- Best range: approx. Top 300 altcoins (Small-, Mid- and Large Caps)
Reading:
- Green zone → Entry signal (true bottom formation, start of a new trend phase)
- Red zone → Exit signal (overheating, start of distribution)
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Who is it for?
- Beginners: clear, visual BUY/EXIT signals without complex interpretation
- Advanced & professionals: a tool that integrates seamlessly into existing strategies and captures the big moves
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*(The ASI is a timing tool. Not financial advice.)*
