WaveTrend Detailed Dashboard (Fixed)Trend: Is the Green line currently above the Red line? (UP/DOWN)
Age: How many candles ago did this crossover happen? (Freshness)
Zero Level: Is the Green line currently above or below the Zero line?
Direction:
TREND UP ↗ (Green): The Green line is physically above the Red line.
TREND DN ↘ (Red): The Green line is physically below the Red line.
Age (Candles):
This counts how many bars have passed since the crossover occurred.
Gold Text: Means the cross happened very recently (3 bars or less). This is your "Fresh" signal.
White Text: Means the trend is established and older.
Zero Level:
Above 0: The Green line is in positive territory.
Below 0: The Green line is in negative territory.
Индикаторы и стратегии
ATR Volatility ChannelATR Volatility Channel
This indicator plots adaptive upper and lower volatility bands using EMA-smoothed highs and lows, expanded by ATR. Unlike Bollinger Bands, it uses true range instead of standard deviation, so the bands expand smoothly and predictably with actual price volatility.
It highlights dynamic support, resistance, and fair value, and can be used for ATR level bounces and trend structure analysis.
Settings:
EMA Length: Smooths the highs and lows to calculate the channel (default: 10)
ATR Length: Period used for the Average True Range (default: 14)
ATR Multiplier: Scales the channel width (default: 2)
Show Upper / Lower / Median
Swing IA Cockpit [v2]//@version=5
indicator("Swing IA Cockpit ", overlay=true, max_bars_back=500)
// === INPUTS ===
mode = input.string("Pullback", title="Entry Mode", options= )
corrLen = input.int(60, "Correlation Window Length")
scoreWeightBias = input.float(0.6, title="Weight: Bias", minval=0, maxval=1)
scoreWeightTiming = 1.0 - scoreWeightBias
// === INDICATEURS H1 ===
ema200_H1 = ta.ema(close, 200)
ema50_H1 = ta.ema(close, 50)
rsi_H1 = ta.rsi(close, 14)
donchianHigh = ta.highest(high, 20)
donchianLow = ta.lowest(low, 20)
atr_H1 = ta.atr(14)
avgATR_H1 = ta.sma(atr_H1, 50)
body = math.abs(close - open)
avgBody = ta.sma(body, 20)
// === H4 / D1 ===
close_H4 = request.security(syminfo.tickerid, "240", close)
ema200_H4 = request.security(syminfo.tickerid, "240", ta.ema(close, 200))
rsi_H4 = request.security(syminfo.tickerid, "240", ta.rsi(close, 14))
atr_H4 = request.security(syminfo.tickerid, "240", ta.atr(14))
avgATR_H4 = request.security(syminfo.tickerid, "240", ta.sma(ta.atr(14), 50))
close_D1 = request.security(syminfo.tickerid, "D", close)
ema200_D1 = request.security(syminfo.tickerid, "D", ta.ema(close, 200))
// === CORRÉLATIONS ===
dxy = request.security("TVC:DXY", "60", close)
spx = request.security("SP:SPX", "60", close)
gold = request.security("OANDA:XAUUSD", "60", close)
corrDXY = ta.correlation(close, dxy, corrLen)
corrSPX = ta.correlation(close, spx, corrLen)
corrGold = ta.correlation(close, gold, corrLen)
// === LOGIQUE BIAIS ===
biasLong = close_D1 > ema200_D1 and close_H4 > ema200_H4 and rsi_H4 >= 55
biasShort = close_D1 < ema200_D1 and close_H4 < ema200_H4 and rsi_H4 <= 45
bias = biasLong ? "LONG" : biasShort ? "SHORT" : "NEUTRAL"
// === LOGIQUE TIMING ===
isBreakoutLong = mode == "Breakout" and high > donchianHigh and close > ema200_H1 and rsi_H1 > 50
isBreakoutShort = mode == "Breakout" and low < donchianLow and close < ema200_H1 and rsi_H1 < 50
var float breakoutPrice = na
var int breakoutBar = na
if isBreakoutLong or isBreakoutShort
breakoutPrice := close
breakoutBar := bar_index
validPullbackLong = mode == "Pullback" and not na(breakoutBar) and bar_index <= breakoutBar + 3 and close > ema50_H1 and low <= ema50_H1
validPullbackShort = mode == "Pullback" and not na(breakoutBar) and bar_index <= breakoutBar + 3 and close < ema50_H1 and high >= ema50_H1
timingLong = isBreakoutLong or validPullbackLong
timingShort = isBreakoutShort or validPullbackShort
// === SCORES ===
scoreTrend = (close_D1 > ema200_D1 ? 20 : 0) + (close_H4 > ema200_H4 ? 20 : 0)
scoreMomentumBias = (rsi_H4 >= 55 or rsi_H4 <= 45) ? 20 : 10
scoreCorr = 0
scoreCorr += biasLong and corrDXY < 0 ? 10 : 0
scoreCorr += biasLong and corrSPX > 0 ? 10 : 0
scoreCorr += biasLong and corrGold >= 0 ? 10 : 0
scoreCorr += biasShort and corrDXY > 0 ? 10 : 0
scoreCorr += biasShort and corrSPX < 0 ? 10 : 0
scoreCorr += biasShort and corrGold <= 0 ? 10 : 0
scoreCorr := math.min(scoreCorr, 30)
scoreVolBias = atr_H4 > avgATR_H4 ? 10 : 0
scoreBias = scoreTrend + scoreMomentumBias + scoreCorr + scoreVolBias
scoreStruct = (timingLong or timingShort) ? 40 : 0
scoreMomentumTiming = rsi_H1 > 50 or rsi_H1 < 50 ? 25 : 10
scoreTrendH1 = (close > ema50_H1 and ema50_H1 > ema200_H1) or (close < ema50_H1 and ema50_H1 < ema200_H1) ? 20 : 10
scoreVolTiming = atr_H1 > avgATR_H1 ? 15 : 5
scoreTiming = scoreStruct + scoreMomentumTiming + scoreTrendH1 + scoreVolTiming
scoreTotal = scoreBias * scoreWeightBias + scoreTiming * scoreWeightTiming
scoreLong = biasLong ? scoreTotal : 0
scoreShort = biasShort ? scoreTotal : 0
delta = scoreLong - scoreShort
scoreExtMomentum = (rsi_H4 > 55 ? 10 : 0)
scoreExtVol = atr_H4 > avgATR_H4 ? 10 : 0
scoreExtStructure = body > avgBody ? 10 : 5
scoreExtCorr = (scoreCorr > 15 ? 10 : 5)
scoreExtension = scoreExtMomentum + scoreExtVol + scoreExtStructure + scoreExtCorr
// === VERDICT FINAL ===
verdict = "NO TRADE"
verdict := bias == "NEUTRAL" or math.abs(delta) < 10 or scoreTotal < 70 ? "NO TRADE" :
scoreTotal < 80 ? "WAIT" :
scoreTotal >= 85 and math.abs(delta) >= 20 and scoreExtension >= 60 ? "TRADE A+" :
"TRADE"
// === TABLE COCKPIT ===
var table cockpit = table.new(position.top_right, 2, 9, border_width=1)
if bar_index % 5 == 0
table.cell(cockpit, 0, 0, "Bias", bgcolor=color.gray)
table.cell(cockpit, 1, 0, bias)
table.cell(cockpit, 0, 1, "ScoreBias", bgcolor=color.gray)
table.cell(cockpit, 1, 1, str.tostring(scoreBias))
table.cell(cockpit, 0, 2, "ScoreTiming", bgcolor=color.gray)
table.cell(cockpit, 1, 2, str.tostring(scoreTiming))
table.cell(cockpit, 0, 3, "ScoreTotal", bgcolor=color.gray)
table.cell(cockpit, 1, 3, str.tostring(scoreTotal))
table.cell(cockpit, 0, 4, "ScoreLong", bgcolor=color.gray)
table.cell(cockpit, 1, 4, str.tostring(scoreLong))
table.cell(cockpit, 0, 5, "ScoreShort", bgcolor=color.gray)
table.cell(cockpit, 1, 5, str.tostring(scoreShort))
table.cell(cockpit, 0, 6, "Delta", bgcolor=color.gray)
table.cell(cockpit, 1, 6, str.tostring(delta))
table.cell(cockpit, 0, 7, "Extension", bgcolor=color.gray)
table.cell(cockpit, 1, 7, str.tostring(scoreExtension))
table.cell(cockpit, 0, 8, "Verdict", bgcolor=color.gray)
table.cell(cockpit, 1, 8, verdict, bgcolor=verdict == "TRADE A+" ? color.green : verdict == "TRADE" ? color.lime : verdict == "WAIT" ? color.orange : color.red)
// === ALERTS ===
alertcondition(verdict == "TRADE A+" and bias == "LONG", title="TRADE A+ LONG", message="TRADE A+ signal long")
alertcondition(verdict == "TRADE A+" and bias == "SHORT", title="TRADE A+ SHORT", message="TRADE A+ signal short")
alertcondition(verdict == "NO TRADE", title="NO TRADE / RANGE", message="Marché confus ou neutre — pas de trade")
Auction Market Theory LevelsAuction Market Theory Indicator
TradingView Pine Script v6 indicator that plots Auction Market Theory (AMT) session levels for RTH/ETH, including value area, VPOC, initial balance extensions, and session VWAP, with Bookmap cloud notes logging.
Features
RTH and ETH session detection with configurable session times.
RTH levels: HOD/LOD, IB30, IB60, IB0.5, IB1.5, IB2.
Value Area (VAH/VAL) and VPOC computed from a session volume profile histogram.
ETH levels: ONH/ONL/ONMID/ONVPOC.
Session VWAP overlay.
Optional labels and/or lines, with ability to extend lines to the right.
Previous session level carry-forward.
Bookmap CSV-style logging and alert payload formatting.
## Inputs
Sessions: `RTH session time`, `ETH session time`.
Levels toggles: `Show HOD and LOD`, `Show IB`, `Show IB30`, `Show IB60`, `Show IB1.5`, `Show IB2`, `Show ONH, ONL, ONVPOC, ONMID`, `Show VAH and VAL`, `Show VPOC`.
Value Area: `Value Area %`, `Number of Histograms`.
Display: `Show price labels`, `Show Lines at price levels`, `Extend lines to the right`, `Session VWAP`, `VWAP color`.
Lookback: `Look back time in hours for previous sessions`.
Logging: `Symbol Prefix` for Bookmap datafeed output.
Getting started
1. Open TradingView and create a new Pine Script.
2. Paste the contents of (src/auction-market-theory.pine).
3. Save and add the indicator to a chart.
Notes
The indicator is designed to run on intraday timeframes with session boundaries.
VPOC/VAH/VAL are calculated from a volume profile histogram built from session bars.
Alerts emit a CSV-style payload containing AMT levels for Bookmap.
Bookmap Cloud Notes output
The script logs and alerts a CSV-style line compatible with Bookmap Cloud Notes. Each line follows this format:
"SYMBOL",PRICE,NOTE,FG_COLOR,BG_COLOR,ALIGN,DIAMETER,LINE
Example (from the script):
"ESH6.CME@BMD",5243.25,ONVPOC,#000000,#ff0066,left,1,TRUE
Alerts → email → local Bookmap Cloud Notes
TradingView alerts can be configured to send these CSV lines to your email address. A simple Python script can then read the email and publish the notes locally to Bookmap Cloud Notes.
Suggested flow:
1. Create a TradingView alert for this indicator.
2. Use the alert message template to output the payload (the script already builds the message in `msg`).
3. Configure the alert to send to your email.
4. Run a local Python reader that parses the incoming email and forwards the CSV lines to your Bookmap Cloud Notes endpoint.
Daily Returns Analysis: N vs M
This script displays the moving average of the percentage difference in price over n vs. m periods.
Note: This is a daily average.
Trigonum ChannelAn awesome oscillator that allows you to identify market waves with a mean deviation limit to filter out noise.
Friendly Stretch Band Regime + Filters (Close Confirm + Hold)What it is
A calm, regime-based stretch band that highlights only three states: BUY zone, SELL zone, and Neutral. Designed to reduce noise and visual overload by avoiding markers, labels, and background tint.
How it works
Bands are built from an EMA basis ± ATR.
BUY Zone: price below lower band (lower band turns green)
SELL Zone: price above upper band (upper band turns red)
Neutral: price inside bands (bands grey)
Stability Options
Confirm on Close: requires CLOSE beyond the band (reduces wick spikes)
Hold Bars: holds zone state for N bars after the trigger ends (reduces flicker)
Optional Filters (applied only if enabled)
Trend filter (basis slope or slow EMA)
ATR expansion gate
Minimum exceed beyond band (ATR units)
Suggested Use
Best used as a clean “location/context” tool on swing timeframes (e.g., 4H). It can be paired with a separate momentum/confirmation tool.
Repainting & Disclaimer
Uses only current and historical bar data (no security() calls). Values may update on the realtime bar before close. Educational use only; not financial advice.
SolQuant WatermarkSOLQUANT WATERMARK
The SolQuant Watermark is a professional-grade utility script designed for traders, educators, and content creators who want to keep their charts organized and branded. By utilizing Pine Script’s table functions, this indicator ensures your custom text and symbol data stay pinned to the screen, regardless of where you scroll on the price action.
KEY FEATURES
Customizable Branding: Display your community name, website, or social handles anywhere on the chart.
Automated Symbol Data: Dynamic tracking of the current Asset, Timeframe, and Date—perfect for keeping screenshots contextually accurate.
Precision Placement: Choose from 9 different anchor points (Top-Left, Bottom-Right, etc.) to ensure the UI never interferes with your technical analysis.
Visual Scaling: 5 different size settings (Tiny to Huge) to accommodate high-resolution displays or mobile viewing.
Aesthetic Control: Fully adjustable color palettes, background transparency, and border toggles.
WHY USE A TABLE-BASED WATERMARK?
Unlike standard chart labels which are tied to specific price/time coordinates, this tool uses the Table API . This means:
The watermark stays in place while you scroll through history.
It doesn't disappear when you "hide" other drawing tools.
It scales consistently across different devices.
INSTRUCTIONS
1. Branding: Open settings and type your link or handle into the "Quote Text" area.
2. Symbol Info: Toggle the "Symbol Info" section to automatically display asset names and dates for your records.
3. Layout: Use the X and Y position dropdowns to move the modules if they overlap with your current price action or other indicators.
Note: This is a visual utility tool only. It does not provide trade signals or financial advice.
Break asian range break alerts
- stratégie break ou réintégration possible avec alertes intégrées .
asian range break
ALMA SD Bands | RakoQuantALMA SD Bands | RakoQuant is a volatility-regime band system built from first principles using an institutional smoothing framework: an ALMA baseline combined with ALMA-smoothed standard deviation width, designed for clean trend containment and controlled regime classification.
This tool is part of the RakoQuant protected research line, focusing on minimal noise, persistent state logic, and volatility-aware market structure rather than traditional reactive Bollinger-style band behavior.
Core Concept
This indicator answers one key structural question:
Is price operating inside a stable volatility regime, or transitioning into a new directional band expansion phase?
Unlike classical deviation band systems that fluctuate aggressively candle-to-candle, ALMA SD Bands introduce:
* Ultra-smooth baseline structure
* Smoothed volatility width
* Persistent directional regime logic
* Deadband-based flip stabilization
The result is a clean institutional containment model rather than noisy retail band plotting.
How It Works
1. ALMA Baseline (Institutional Mean Structure)
The centerline of the system is computed using:
Arnaud Legoux Moving Average (ALMA)
ALMA provides:
* Reduced lag compared to EMA
* Superior smoothness compared to SMA
* Stable regime structure across crypto volatility
This baseline acts as the equilibrium axis of the band system.
2. Standard Deviation Volatility Width (Smoothed)
Band width is driven by volatility, measured through standard deviation, with two selectable modes:
* Price Standard Deviation
* Return Standard Deviation (log-return volatility)
Rather than using raw deviation directly, volatility is passed through a second ALMA smoothing layer:
Smoothed Volatility = ALMA(StdDev)
This eliminates the jitter and band shaking that defines most Bollinger-type systems.
3. Adaptive Containment Bands
Final bands are constructed as:
* Upper Band = ALMA Basis + Multiplier × Smoothed Volatility
* Lower Band = ALMA Basis − Multiplier × Smoothed Volatility
Unlike traditional ±2σ envelopes, the multiplier is intentionally adjustable and tuned for regime containment rather than extreme tagging.
4. Deadband Regime Engine (Persistent State Logic)
A defining feature of this protected release is its regime persistence model.
Instead of flipping trend bias instantly, the script applies a volatility-scaled deadband buffer:
* Bull regime activates only above Basis + Deadband
* Bear regime activates only below Basis − Deadband
This removes micro-flips and produces a true structural regime state:
* Bullish containment (green)
* Bearish containment (red)
* Neutral transition zone suppression
Regime state persists until a confirmed boundary transition occurs.
Visual Engine
ALMA SD Bands follows the RakoQuant minimal institutional plotting standard:
* Active volatility bands only
* Smooth containment fill
* Optional candle painting by regime bias
* Ultra-clean overlays suitable for confluence stacking
This indicator is designed as a structural layer, not a clutter generator.
How To Use
✅ Volatility containment framework
✅ Trend regime bias overlay
✅ Expansion / contraction classifier
✅ Portfolio directional filter (RSPS compatible)
Recommended workflow:
* Trade long only during bullish regime containment
* Defensive during bearish containment
* Watch for regime flips as volatility transition events
* Combine with momentum triggers for execution
Best environments:
* 4H–1D swing trend structure
* Volatility breakout classification
* Institutional band containment systems
Screenshot Placement
📸 Example chart / screenshot:
WMA MAD Trend | RakoQuantWMA MAD Trend | RakoQuant is a robust volatility-regime trend system built on Weighted Moving Average structure and Median Absolute Deviation dispersion, engineered to produce clean directional states while suppressing wick-driven noise and unstable ATR distortions.
This tool belongs to the RakoQuant protected research line, combining a smooth WMA baseline, statistically robust volatility envelopes (MAD bands), SuperTrend-style regime logic, and a strength-aware visualization layer designed for consistent performance across trending, mean-reverting, and mixed market environments.
Core Concept
This indicator answers one fundamental question:
Is price holding a statistically meaningful deviation from its WMA baseline, or reverting back into range?
Unlike classic SuperTrend variants that rely on ATR (highly sensitive to spikes and wicks), WMA MAD Trend uses Median Absolute Deviation as its volatility engine — a robust dispersion measure that remains stable in the presence of outliers.
How It Works
1) WMA Baseline (Directional Structure)
At its core, the indicator defines the market’s structural center using a Weighted Moving Average:
* WMA Baseline tracks directional bias with smoother, trend-weighted responsiveness
* The baseline can optionally be smoothed further in intraday mode to reduce micro-chop
This provides a stable anchor for dispersion-based regime classification.
2) MAD Volatility Engine (Robust Dispersion Core)
Instead of ATR, volatility is measured via Median Absolute Deviation (MAD) around the baseline:
* Compute absolute deviation:
|Close − Baseline|
* Take rolling median of deviation over madLen
* Optional normalization scales MAD toward a stdev-like measure (via constant factor)
This makes volatility estimation:
* Outlier-resistant
* Wick-resistant
* Regime-stable during abnormal price spikes
3) MAD Bands + SuperTrend Trailing Logic (Regime State Model)
Bands are built as:
* Upper Band = Baseline + Factor × MAD
* Lower Band = Baseline − Factor × MAD
Then classic SuperTrend-style trailing constraints are applied so the active band persists until a true regime break occurs.
That produces a state engine:
* Bull regime when price breaks above the trailing upper logic (transition into trend-up state)
* Bear regime when price breaks below the trailing lower logic (transition into trend-down state)
This behaves like a structural market regime model, not a reactive oscillator.
4) Strength Engine (Deviation-Based Intensity)
A defining layer of this tool is the MAD Z-score intensity system:
* Compute Z-score:
z = |Close − Baseline| / MAD
* Map into a 0 → 1 strength scale
Interpretation:
* Low deviation = weak regime confidence (likely chop / mean reversion)
* High deviation = strong regime confidence (trend expansion)
5) Intensity Visual Engine (Signal Clarity Layer)
WMA MAD Trend includes a protected visual engine that scales opacity with strength:
* Strong expansion = solid trend band
* Weak deviation = faded band
This gives immediate clarity:
Not all flips are equal — strength is displayed structurally.
6) Optional Institutional Filters
Two optional confirmation modules allow institutional-grade filtering:
Baseline Confirmation
* Bull flips only accepted if price is above baseline
* Bear flips only accepted if price is below baseline
EMA Stack Filter
* Bull only when Fast EMA > Slow EMA
* Bear only when Fast EMA < Slow EMA
These modules make the tool suitable for:
* Directional portfolio bias frameworks (RSPS)
* Regime classification overlays
* Trend confirmation filters for execution systems
7) Strong Flip Tier Alerts
Signal quality is tiered:
* Standard flip alerts
* Strong flip alerts only when deviation strength exceeds a threshold
This produces a higher-confidence regime transition model for swing positioning and exposure scaling.
How To Use
✅ Trend regime overlay
✅ Wick-resistant volatility trend filter
✅ MAD-based deviation strength engine
✅ Directional bias tool for portfolio systems
Best use cases:
* 1H–1D trend frameworks
* Regime filters for signal stacking
* Chop suppression in volatile markets
Suggested workflow:
* Bull bias when the regime is bullish and strength is rising
* Reduce risk / defensive when strength fades or a bearish flip occurs
* Pair with execution tools (breakout/mean-reversion entries) for timing
Screenshot Placement
📸 Example chart / screenshot: snapshot
Gartley + RSI Div + CDC ActionZone Alert//@version=5
indicator("Gartley + RSI Div + CDC ActionZone Alert", overlay=true)
// --- 1. CDC Action Zone Logic ---
ema12 = ta.ema(close, 12)
ema26 = ta.ema(close, 26)
isBlue = close > ema12 and ema12 < ema26
isGreen = ema12 > ema26
cdcSignal = isBlue or isGreen
// --- 2. RSI Bullish Divergence Logic ---
rsiVal = ta.rsi(close, 14)
lbR = 5 // Lookback Left
rbR = 5 // Lookback Right
minLow = ta.pivotlow(rsiVal, lbR, rbR)
isDiv = false
if not na(minLow)
prevLow = ta.valuewhen(not na(minLow), minLow , 0)
prevPrice = ta.valuewhen(not na(minLow), low , 0)
if rsiVal > prevLow and low < prevPrice
isDiv := true
// --- 3. Gartley Approximation (D-Point Focus) ---
// ส่วนนี้ใช้ ZigZag พื้นฐานเพื่อหาจุดกลับตัว (Simplified for Alert)
sz = input.int(10, "ZigZag Sensitivity")
ph = ta.pivothigh(high, sz, sz)
pl = ta.pivotlow(low, sz, sz)
// เงื่อนไขรวม (Combo Strategy)
// ราคาอยู่ที่จุดต่ำสุดใหม่ (Potential D) + RSI ขัดแย้ง + CDC เริ่มเปลี่ยนสี
buyAlert = isDiv and cdcSignal and not na(pl)
// --- การแสดงผลบนกราฟ ---
plotshape(buyAlert, title="Gartley-CDC Buy", style=shape.labelup, location=location.belowbar, color=color.green, text="BUY SETUP", textcolor=color.white, size=size.small)
// วาดเส้น EMA สำหรับ CDC
plot(ema12, color=color.red, linewidth=1)
plot(ema26, color=color.blue, linewidth=1)
// --- ระบบการแจ้งเตือน (Alerts) ---
if buyAlert
alert("SPA Style Setup Found: Gartley D-Point + RSI Div + CDC Signal!", alert.freq_once_per_bar)
SMC Structure + HTF Levels + VolatilityDescription: This script is a comprehensive "Smart Money Concepts" (SMC) toolkit designed to filter out market noise and focus only on the Major Market Structure. It combines structural analysis, multi-timeframe key levels, and volatility tracking into a single chart overlay.
Unlike standard fractal indicators that clutter the chart with every minor pivot, this script uses a "Retroactive" logic system to only mark significant Higher Highs (HH), Higher Lows (HL), Lower Lows (LL), and Lower Highs (LH) that confirm a trend break.
Key Features
1. Major Structure Mapping (Retroactive Logic)
The Problem: Standard indicators often mark a "Lower High" too early, only for price to continue higher.
The Solution: This script waits for a Major Low to be broken (confirmed break of structure) before identifying the peak that caused it. It then "looks back" and retroactively labels that peak as the valid Lower High (LH).
Result: You get a clean chart that shows only the true structural legs of the trend, filtering out internal sub-swings and fake-outs.
2. Multi-Timeframe (MTF) Steplines
Automatically plots the previous highs and lows from higher timeframes:
PDH / PDL: Previous Day High & Low (Blue)
PWH / PWL: Previous Week High & Low (Orange)
PMH / PML: Previous Month High & Low (Purple)
These act as major magnet levels for price targets or reversal zones.
3. Volatility Regimes (Expansion vs. Consolidation)
Uses Bollinger Band Width to analyze market energy.
Green Background (Expansion): Volatility is above average. The market is moving fast (breakout or trend).
Gray Background (Consolidation): Volatility is below average. The market is squeezing, indicating a potential big move is building up.
How to Use It
Trend Following: Look for price to form a HL (Higher Low) in an uptrend. Wait for the background to turn Gray (Consolidation), then enter when it turns Green (Expansion) as price breaks upward.
Reversals: Watch for price to hit a PWH (Previous Week High). If a LH (Lower High) label appears shortly after, it confirms the reversal is valid.
Stop Placement: Use the most recent HL or LH labels as safe zones for stop-loss placement, as these represent protected structural points.
Settings
Swing Length: Adjusts how sensitive the structure detection is (Default: 5). Increase this number to see even longer-term structure.
Colors: Fully customizable colors for Bullish/Bearish structure, HTF lines, and Volatility zones.
Show/Hide: You can toggle off any element (like the Monthly levels or Volatility background) to keep your chart clean.
Relevant Levels RitradeOverview This indicator plots key price levels (Daily, Weekly, Monthly) with a unique "Smart Overlap" system. It is designed to keep charts clean by offsetting lines to the right of the price action and preventing labels from covering each other when price levels are identical.
Key Features
Smart Overlap Prevention: If two levels (e.g., Previous Day High and Weekly High) are at the exact same price, the script automatically shifts the second line to the right so both are visible side-by-side.
Origin Trace Lines: Faint, dotted grey lines connect the floating labels back to the specific candle where that High, Low, or Open actually occurred. This helps visualize exactly when the level was created.
Future Offset: Lines are drawn into the future (offset from the current bar) to avoid cluttering your analysis on current candles.
Exact Timing: The trace lines use precise time coordinates to find the exact swing high/low candle.
Included Levels (Toggleable)
PDH / PDL: Previous Day High & Low
PWH / PWL: Previous Week High & Low
DO / WO / MO: Daily, Weekly, and Monthly Opens
Settings You can customize the line colors, the offset distance (how far right the lines sit), the length of the lines, and the gap between overlapping lines.
Prime Minute MarkerPrime Minute Marker – Description
This script marks specific prime-numbered minutes directly on the chart using clean, plain text (no boxes or shapes).
It is designed for time-based market observation, helping traders spot recurring reactions, swings, and behavioral patterns that tend to appear at specific minutes within the hour.
The marker:
Displays only selected prime minutes
Uses simple text labels for a clutter-free chart
Does not interfere with price action
Works on any intraday timeframe
Is especially useful for swing points, liquidity reactions, and auction-based analysis
This tool is meant for observation and confluence, not as a standalone trading signal.
Prime Minute Marker (Selected)Prime Minute Marker – Description
This script marks specific prime-numbered minutes directly on the chart using clean, plain text (no boxes or shapes).
It is designed for time-based market observation, helping traders spot recurring reactions, swings, and behavioral patterns that tend to appear at specific minutes within the hour.
The marker:
Displays only selected prime minutes
Uses simple text labels for a clutter-free chart
Does not interfere with price action
Works on any intraday timeframe
Is especially useful for swing points, liquidity reactions, and auction-based analysis
This tool is meant for observation and confluence, not as a standalone trading signal.
Global OrderFlow CVD Div (USDT+USD + Multi-OI) [TheActualSnail]Global OrderFlow CVD Div (USDT+USD + Multi-OI)
Global OrderFlow CVD Div is a multi-venue order flow proxy that aggregates CVD (Cumulative Volume Delta) from several exchanges (USDT perpetuals + USD spot) and prints pivot-based divergence labels on the price chart. Optionally, it can filter those divergence labels using Open Interest (OI) trend for extra confluence.
This is designed as a “global read” of participation: perps for positioning, spot for real flow, and OI for leverage context.
What this indicator shows
1) Delta (Orderflow proxy)
Because true bid/ask orderflow isn’t available natively in Pine for most markets, this script uses an intrabar OHLCV proxy:
If intrabar close > open → volume counted as “buy”
If intrabar close < open → volume counted as “sell”
If doji → it falls back to close vs previous close
This happens on a Lower TF (intrabar timeframe), then sums intrabar volume inside each chart candle.
2) CVD (Cumulative Volume Delta)
CVD is the cumulative sum of Delta:
Positive CVD suggests net aggressive buying (proxy)
Negative CVD suggests net aggressive selling (proxy)
You can plot:
AVG CVD (aggregated signal)
Optionally each exchange’s CVD separately (debug / comparison)
3) Divergence labels (pivot-based)
The script marks divergences at confirmed pivots:
Regular Bullish Divergence (Bull Div)
Price makes a Lower Low
CVD makes a Higher Low
Regular Bearish Divergence (Bear Div)
Price makes a Higher High
CVD makes a Lower High
Optional:
Hidden Bullish Divergence (trend continuation type)
Price makes a Higher Low
CVD makes a Lower Low
Hidden Bearish Divergence (trend continuation type)
Price makes a Lower High
CVD makes a Higher High
All labels are drawn at the pivot candle (the pivot is confirmed after Pivot length bars).
Inputs & settings explained
Calculation
Lower TF for intrabars
Sets the timeframe used to build the intrabar delta proxy (ex: 30s / 1m / 3m).
Smaller = more precise, but heavier CPU.
Delta mode
Delta = raw (buy vol − sell vol)
Delta % = delta normalized by total intrabar volume (helps when mixing sources with different volume scales)
CVD reset
Controls when CVD is reset back to 0:
None = continuous cumulative
Daily / Weekly / Monthly = resets at timeframe boundary
Fixed time = resets at a specific hour/min in your chart’s timezone
Session (regular) = uses TradingView’s regular session start
Fixed time hour / min (only used when reset = Fixed time)
CVD Sources (USDT perps + USD spot)
Each source has two controls:
✅ Checkbox = enable/disable that venue in the aggregation
Symbol picker = the actual TradingView symbol used
Defaults include:
USDT perps (Binance/Bybit/OKX/Bitget)
USD spot (Binance USD, Coinbase USD, optionally Kraken/Bitstamp)
Blend method
Average = normalizes by number of enabled sources (recommended for “global” confluence)
Sum = adds them directly (can overweight high-volume venues)
Tip: If a symbol is invalid on your TradingView plan/region, just disable it or change it to a valid ticker.
Open Interest (Perps only)
OI is optional and used as a divergence “filter” (not required).
Enable OI filter = turn OI logic on/off
Per-exchange OI toggles + symbol pickers (Binance/Bybit/OKX/Bitget)
OI blend
Average = average OI from enabled sources (recommended)
Sum = summed OI
OI trend length
Lookback for rising/falling detection
Filter labels by OI
None = no filter
Require OI Rising = only show divergence labels when blended OI is rising
Require OI Falling = only show divergence labels when blended OI is falling
Note: Coinbase has no OI feed here, so OI is perps-only by design.
Divergences
Enable divergence labels = on/off
Pivot length = pivot strength (higher = fewer, stronger signals; lower = more signals)
Use wicks for pivots
ON = pivots use High/Low (more sensitive)
OFF = pivots use Close (more conservative)
Min CVD difference (filter)
Requires the CVD pivot value to differ from the previous CVD pivot by at least this amount.
Also show hidden divergences
Enables hidden divergence labels.
Visuals
Show AVG Delta histogram (pane) = plots aggregated delta columns
Show AVG CVD (pane) = plots the aggregated CVD line
Show each CVD (pane) = plots each venue’s CVD line (useful for checking alignment)
Show AVG OI (pane) = plots blended OI (if enabled)
Show zero line (pane) = plots the 0 baseline
Up/Bear colors = colors used for plots and labels
“Icons” you see in the Inputs panel
TradingView uses common UI controls:
✅ Checkbox → enable/disable a feature or a specific exchange/OI feed
🔽 Dropdown → choose modes like Reset type / Delta mode / Blend method / OI filter
🕒 Timeframe selector → choose Lower TF for intrabars
🎨 Color swatch → change label/plot colors
✏️ Symbol picker → choose the exact exchange ticker used by the script
How to use it (practical workflow)
Pick your sources
Keep 2–4 major venues enabled for clean signal (ex: Binance/Bybit/OKX + Coinbase).
If you see “Invalid symbol”, replace the symbol or turn that source off.
Set intrabar precision
Start with 1m lower TF.
If you need more detail and your chart is smooth, try 30s.
Tune divergence sensitivity
Pivot length 5–10 is a good range.
Use wicks ON for earlier signals; OFF for stricter confirmation.
Add confluence
Use the OI filter to avoid divergences that occur with the “wrong” leverage context.
Combine with HTF levels, market structure, liquidity zones, VWAP/POC/NPOC, etc.
Important notes / limitations
This is a proxy, not true bid/ask delta.
Different exchanges report volume differently; aggregation helps but won’t be perfect.
Pivots are confirmed, so labels appear after the pivot is formed (pivotLen bars later).
More enabled sources + smaller intrabar TF = heavier calculations.
Not financial advice
This indicator is for educational/informational purposes only and does not constitute financial advice. Markets are risky. Always validate signals with other confluences, use proper risk management, and make your own decisions.
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3:00 AM – Overnight session
9:30 AM – NY market open
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bezgincan_BPA Integrated Market Analyzer (V6) -
Why?
This is an advanced oscillator powered by the v6 engine that combines the four main pillars of technical analysis —Volume, Trend, Volatility , and Momentum —into a single mathematical model. It eliminates chart clutter, allowing you to monitor market strength, speed, and saturation from a single panel.
Fourfold Analysis Logic:
Trend: Calculates the main direction and slope of the price using linear regression slope.
Momentum: Measures the strength of price movement using RSI-based normalized momentum data.
Volatility: Compares current volatility to historical averages via the ATR ratio.
Volume: By relating volume increases to momentum, it confirms the reality of the motion.
How to Use?
The display operates on a fixed, normalized scale between -100 and +100 :
Zero Line Intersections: When the BPA line crosses above 0 (Green Area) , it indicates increased buying pressure, and when it crosses below 0 (Red Area), it indicates increased selling pressure.
Extremes (Yellow Background): When the indicator rises above +70 or falls below -70 , it means the market is "overheated". These zones signal that the trend is exhausted and a correction (or profit-taking) may be imminent.
Signal Labels: The triangles on the chart represent zero-line intersections (trend reversal confirmation).
Why this indicator?
Normalized Scale: Unlike classic indicators, it always stays within the -100/+100 range, providing visual consistency.
Filtered Data: It doesn't just look at price; it incorporates volume and volatility to help filter out "fake" patterns.
Pine Script v6: Performs fast and optimized calculations with the latest Pine Script engine.
kalp 2trPeriodPrimary = input.int(18, 'Primary ST ATR Period', group="SuperTrend")
multiplierPrimary = input.float(4.0, 'Primary ST Multiplier', group="SuperTrend")
atrPeriodSecondary = input.int(9, 'Secondary ST ATR Period', group="SuperTrend")
multiplierSecondary = input.float(2.0, 'Secondary ST Multiplier', group="SuperTrend")
atrPeriodTertiary = input.int(12, 'Tertiary ST ATR Period', group="SuperTrend")
multiplierTertiary = input.float(3.0, 'Tertiary ST Multiplier', group="SuperTrend")
// MACD Group
fastLength = input.int(24, 'MACD Fast Length', group="MACD")
slowLength = input.int(52, 'MACD Slow Length', group="MACD")
signalLength = input.int(9, 'MACD Signal Smoothing', group="MACD")
// EMA Group
tfEMA = input.timeframe("60", "EMA Timeframe (Global)", group="EMAs")
ema1Len = input.int(9, 'EMA 1 Length', group="EMAs")
ema2Len = input.int(21, 'EMA 2 Length', group="EMAs")
ema3Len = input.int(27, 'EMA 3 Length', group="EMAs")
ema4Len = input.int(50, 'EMA 4 Length', group="EMAs")
ema5Len = input.int(100, 'EMA 5 Length', group="EMAs")
ema6Len = input.int(150, 'EMA 6 Length', group="EMAs")
ema7Len = input.int(200, 'EMA 7 Length', group="EMAs")
// Visuals & ORB Group
showVwap = input.bool(true, 'Show VWAP?', group="Visuals")
showORB = input.bool(true, "Show ORB (Current Day Only)", group="ORB Settings")
orbTime = input.string("0930-1000", "ORB Time Range", group="ORB Settings")
orbTargetMult1 = input.float(1.0, "Target 1 Mult", group="ORB Settings")
