Relative Strength Index - RSI🎯 Overview
This is an enhanced Relative Strength Index (RSI) indicator for TradingView that combines traditional RSI analysis with a moving average overlay to generate more reliable trading signals ⚡
🧩 Core Components
1. ⚙️ Indicator Settings
2. 🎛️ Input Parameters
A. 🎨 Color Settings:
5 different color themes: 🎨 Classic, 🚀 Modern, 💪 Robust, 🌈 Accented, ⚫⚪ Monochrome
Each theme provides distinct bullish/bearish color pairs
B. 📊 RSI Configuration:
📏 Length: Default 14 periods
📈 Source: Default close price (customizable)
📊 RSI MA Length: Default 365 periods
🔄 RSI MA Type: 6 options (EMA, SMA, RMA, WMA, VWMA, HMA)
C. 📢 Signal Display:
✅ Toggle for Bull/Bear crossover signals
📋 Table display showing current market bias
3. 🧮 Technical Calculations
A. 📈 RSI Calculation:
Standard RSI formula using ta.rsi()
Configurable source and period length
B. 📊 RSI Moving Average:
Customizable MA type applied to the RSI values
Serves as a dynamic signal line
Default 365-period EMA smooths long-term trends
C. 🔔 Signal Detection:
🟢 isBull_RSI: RSI > RSI_MA (bullish condition)
🔴 isBear_RSI: RSI < RSI_MA (bearish condition)
🟢 Bull: Crossover signal (RSI crosses above MA)
🔴 Bear: Crossunder signal (RSI crosses below MA)
4. 👁️ Visual Elements
A. 📉 Main Plots:
📊 RSI Line: Thick line (width 3) colored conditionally based on position relative to its MA
📈 RSI MA Line: Yellow line showing the smoothed RSI
🎯 50-Level Line: Dashed white reference line
B. 🎨 Fill Areas:
🟢 Overbought Zone : Filled between RSI and MA
🔴 Oversold Zone : Filled between RSI and MA
Colors vary based on selected theme
C. 🌈 Background Highlights:
Subtle background coloring on bullish/bearish crossover signals
D. 📋 Table Display:
Shows "⬆️ Bullish" or "⬇️ Bearish" with appropriate coloring
5. 🔔 Alert System
🟢 LONG Alert: Triggers when RSI > RSI_MA
🔴 SHORT Alert: Triggers when RSI < RSI_MA
Includes ticker symbol in alert message
🏁 Trading Logic
🎯 Primary Signals:
🟢 Bullish Setup:
📈 RSI crosses above its moving average
📊 RSI remains above MA (continuous bullish condition)
🎨 Visual: Green/theme bull colors, bullish fill areas
🔴 Bearish Setup:
📉 RSI crosses below its moving average
📊 RSI remains below MA (continuous bearish condition)
🎨 Visual: Red/theme bear colors, bearish fill areas
✨ Key Features:
📊 Trend Filter: The RSI MA (365-period) acts as a long-term trend filter
⚡ Momentum + Trend: Combines momentum (RSI) with trend (MA) for higher probability signals
👁️ Visual Clarity: Color-coded elements make market state immediately apparent
🛠️ Customizability: Multiple MA types and color schemes adapt to different trading styles
💻 Code Structure
The script is well-organized with clear sections:
🔧 MA function definition
⚙️ Input settings
🧮 Calculations
🎨 Color definitions
📊 Plotting
📋 Table display
🔔 Alert conditions
🎯 Best Use Cases
📈 Trend Following: In trending markets, signals align with the overall direction
🔄 Mean Reversion: In ranging markets, oversold/overbought fills indicate potential reversals
⏰ Multi-Timeframe Analysis: Works well on daily/weekly charts for long-term positioning
✅ Signal Confirmation: Can be combined with other indicators for entry/exit confirmation
🏆 Unique Advantages
🎯 Reduced Whipsaws: Long MA period (365) filters out noise
👁️ Clear Visual Hierarchy: Multiple visual layers convey information efficiently
💼 Professional Presentation: Clean, organized display suitable for sharing
🛠️ Flexible Configuration: Adaptable to different assets and timeframes
지표 및 전략
Visual ATR Trailing StopVisual ATR Trailing Stop, that lets you select price and date from your screen
SMT Quarter theory - AMDX cycles and killzones.This indicator visualizes the Quarterly Theory (SMT / Smart Money Theory) concept anchored to New York time. The main daily cycle starts at 18:00 NY time and lasts exactly 24 hours — until 18:00 the next day (local NY time, automatically handling daylight saving time transitions).
Each 24-hour SMT day is divided into four 6-hour blocks:
18:00–00:00 (Asia Killzone)
00:00–06:00 (London Open)
06:00–12:00 (NY AM)
12:00–18:00 (NY PM)
Each 6-hour block is further subdivided into four 90-minute micro-cycles.
The indicator draws:
semi-transparent colored rectangles (boxes) for the 6-hour sessions using different colors and corresponding session names
lighter orange boxes for the 90-minute cycles inside each 6-hour block
vertical dashed lines at the boundaries of 6-hour sessions (different colors)
thin dotted lines at the boundaries of 90-minute cycles
a thick vertical line marking the end of the SMT day (next 18:00 NY)
text labels with the main session names placed above the chart
This indicator based on AMDX quarter theory - accumulation, manipulation, distribution, x (distribution or reversal). Use this indicator to improve your price movement understanding!
Этот индикатор предназначен для визуализации концепции Quarterly Theory (SMT / Smart Money Theory) с привязкой к нью-йоркскому времени. Основной цикл дня начинается в 18:00 по Нью-Йорку и длится ровно 24 часа — до 18:00 следующего дня (по местному времени NY, с автоматическим учётом перехода на летнее/зимнее время).
Каждый такой 24-часовой SMT-день делится на четыре 6-часовых блока:
18:00–00:00 (Asia Killzone)
00:00–06:00 (London Open)
06:00–12:00 (NY AM)
12:00–18:00 (NY PM)
Каждый 6-часовой блок, в свою очередь, разделён на четыре 90-минутных микроцикла.
Индикатор рисует:
полупрозрачные цветные прямоугольники (боксы) для 6-часовых сессий с разными цветами и соответствующими названиями
более светлые оранжевые боксы для 90-минутных циклов внутри каждого 6-часового блока
вертикальные пунктирные линии на границах 6-часовых сессий (разные цвета)
тонкие точечные линии на границах 90-минутных циклов
вертикальную жирную линию на конец SMT-дня (следующие 18:00 NY)
текстовые метки с названиями основных сессий над графиком
Crypto Institutional Liquidity Sweep StrategyStrategy Overview: Institutional Liquidity Sweep & Trend Convergence
This strategy is a high-conviction systematic trading framework designed to exploit "stop-runs" and liquidity grabs within a dominant market trend. It combines institutional price action concepts with mathematical filters to ensure entries occur only when trend direction, volatility, and liquidity align.
1. The Trend Framework (EMA 200 Filter)
The foundation of the strategy is the 200-period Exponential Moving Average (EMA). This acts as a "Directional North Star."
Long Bias: Trades are only considered when price is above the EMA 200.
Short Bias: Trades are only considered when price is below the EMA 200.
Buffer Logic: An optional percentage buffer can be applied to avoid "choppy" entries when price is hugging the moving average.
2. The Entry Trigger (Liquidity Sweeps)
The strategy identifies Institutional Liquidity Pools using Swing Highs and Swing Lows (Pivots).
The Sweep: The system waits for price to pierce below a recent structural low (Bullish Sweep) or above a recent structural high (Bearish Sweep).
The Trap: It then monitors for a "reclaim" where price quickly rejects the level. This suggests that the breach was not a breakout, but a hunt for stop-losses to fuel a move in the opposite direction.
3. Secondary Confirmation Filters
To maximize the win rate, the strategy requires a Secondary Filter to confirm market health (User selectable):
V olatility Oscillator: Ensures the market is in an Expansion Phase. It requires the oscillator to be rising, indicating that momentum is behind the reversal.
Smart Trendlines (Structure): Uses Linear Regression Slope to ensure the immediate micro-structure is aligned with the macro-trend.
4. Entry Confirmation (The Reversal Candle)
A trade is not triggered simply because a level was swept. The strategy requires a Reversal Confirmation:
Price Location: The candle must close in the upper 40% (for longs) or lower 40% (for shorts) of its total range.
Directional Body: The candle must close bullish for longs and bearish for shorts, confirming that buyers or sellers have seized control of the bar.
5. Risk Management (Fixed 1:2 RR)
The strategy prioritizes capital preservation through an ATR-based (Average True Range) risk model:
Static Exits: Upon entry, the Stop Loss and Take Profit levels are calculated and locked. They do not move, ensuring a mathematically pure 1:2 Reward-to-Risk ratio.
Volatility Adjusted: The distance of the stop loss is determined by the ATR, meaning the strategy automatically widens stops during high volatility and tightens them during calm periods.
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.
BTC Trend Pullback (EMA200+EMA20) w/ ATR 1:2 RRStrategy Overview: BTC Trend Pullback (EMA200+EMA20)This strategy is a trend-following mean reversion system designed to capture high-probability entries within an established market regime. It utilizes a "dual-filter" approach: identifying the long-term trend while waiting for a short-term "cooldown" (pullback) before entering on a momentum confirmation signal.1. Trend Identification & FilteringThe strategy establishes market direction using the 200-period Exponential Moving Average (EMA).Bullish Regime: Price must be trading above the 200 EMA.Bearish Regime: Price must be trading below the 200 EMA.ADX Filter (Optional): To avoid "choppy" or sideways markets, an Average Directional Index (ADX) filter ensures that the trend has sufficient strength (typically $> 20$) before any trades are considered.2. The Pullback (Mean Reversion)Rather than chasing a breakout, this strategy waits for price to return to its "value zone"—the 20-period EMA.The script offers two modes for the pullback:Touch: A conservative entry where the candle wick merely taps the 20 EMA.Close Beyond: A more aggressive entry where the price must close on the opposite side of the 20 EMA, suggesting a deeper retracement.3. Execution via ConfirmationTo prevent "catching a falling knife," a trade is only triggered when price shows signs of resuming the primary trend. The user can select from:Bullish/Bearish Engulfing: A classic price action pattern where the current candle "swallows" the previous candle's body.Strong Close: A candle that closes in the top or bottom 40% of its total range (indicating high directional conviction).4. Risk Management (1:2 Reward-to-Risk)The strategy employs an Average True Range (ATR) based exit system to adapt to market volatility.Stop Loss (SL): Placed at $1.0 \times \text{ATR}$ from the entry price.Take Profit (TP): Placed at $2.0 \times \text{ATR}$ from the entry price.By using ATR, the strategy "breathes" with the market; stops are wider during high volatility and tighter during low volatility, maintaining a mathematically consistent 1:2 Reward-to-Risk ratio.
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.
Drawdown MDD desde ATH (close)Drawdown indicator from ATH wtih maximum drawdown.
Indicates the current percentage of both
Reliable 4H EST Candle Marker (All Timeframes)plots out 4 hour candle if you trying to mark out 2am, 6am, 10am etc
Session Time Lines (NY Time)This clean indicator draws vertical dashed lines on the chart at key session times in New York time:
7:00 PM – Previous day session start
3:00 AM – Overnight session
9:30 AM – NY market open
It automatically removes the previous session’s lines when a new 7:00 PM occurs, keeping the chart clean. Lines are drawn directly on the price chart (overlay), making it easy to see market session transitions.
Works on intraday charts
Time-based vertical lines in New York time (DST-safe)
Shows only one cycle at a time for clarity
Non-intrusive, no calculations or trading signals
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")
Manus KI TradingManus Machiene Learning Beast – Indicator Description
Settings
Use 1h Chart
Use Regime filter: 0.5
Use ADX 20
Use SMA 200
and be happy...
Overview
Manus Machiene Learning Beast is an advanced TradingView indicator that combines Machine Learning (Lorentzian Classification) with trend, volatility, and market regime filters to generate high-quality long and short trade signals.
The indicator is designed for rule-based, disciplined trading and works especially well for set-and-forget, semi-automated, or fully automated execution workflows.
⸻
Core Concept
At its core, the indicator uses a machine-learning model based on a modified K-Nearest Neighbors (KNN) approach.
Instead of standard Euclidean distance, it applies Lorentzian distance, which:
• Reduces the impact of outliers
• Accounts for market distortions caused by volatility spikes and major events
• Produces more robust predictions in real market conditions
The model does not attempt to predict exact tops or bottoms.
Instead, it estimates the probable price direction over the next 4 bars.
⸻
Signal Logic
Long Signals
A long signal is generated when:
• The ML model predicts a positive directional bias
• All enabled filters are satisfied
• A new directional change is detected (non-repainting)
• Optional trend filters (EMA / SMA) confirm the direction
• Optional kernel regression confirms bullish momentum
📍 Displayed as a green label below the bar
Short Signals
A short signal is generated when:
• The ML model predicts a negative directional bias
• Filters confirm bearish conditions
• A new directional change occurs
• Trend and kernel filters align
📍 Displayed as a red label above the bar
⸻
Filters & Components
All filters are modular and can be enabled or disabled individually.
1. Volatility Filter
• Avoids trading during extremely low or chaotic volatility conditions
2. Regime Filter (Trend vs Range)
• Attempts to filter out sideways markets
• Especially important for ML-based systems
3. ADX Filter (Optional)
• Trades only when sufficient trend strength is present
4. EMA / SMA Trend Filters
• Classic trend confirmation (e.g., 200 EMA / 200 SMA)
• Ensures trades are aligned with the higher-timeframe trend
5. Kernel Regression (Nadaraya-Watson)
• Smooths price behavior
• Acts as a momentum and trend confirmation filter
• Can be used in standard or smoothed mode
⸻
Moving Average Overlays
For visual market context, the indicator includes optional overlays:
• ✅ SMA 200
• ✅ HMA 200
Both can be toggled via checkboxes and are visual aids only, unless explicitly enabled as filters.
⸻
Exit Logic
Two exit methods are available:
1. Fixed Exit
• Trades close after 4 bars
• Matches the ML model’s training horizon
2. Dynamic Exit
• Uses kernel regression and signal changes
• Designed to let profits run in strong trends
⚠️ Recommended only when no additional trend filters are active.
⸻
Backtesting & Trade Statistics
The indicator includes an on-chart statistics panel showing:
• Win rate
• Total trades
• Win/Loss ratio
• Early signal flips (useful for identifying choppy markets)
⚠️ This is intended for calibration and optimization only, not as a replacement for full strategy backtesting.
⸻
Typical Use Cases
• Swing trading (M15 – H4)
• Rule-based discretionary trading
• Set-and-forget trading
• TradingView alerts → MT4/MT5 → EA execution
• Prop-firm trading (e.g. FTMO), with proper risk management
⸻
Important Disclaimer
This indicator:
• ❌ does not guarantee profits
• ❌ is not a “holy grail”
• ✅ is a decision-support and structure tool
It performs best when:
• Combined with strict risk management (e.g. ATR-based stops)
• Used in trending or expanding markets
• Executed with discipline and consistency
ATLAS_COREShared utility library for the ATLAS Trading Intelligence Suite. Provides brand colors, math utilities, candle analysis, grading system, visual helpers, and more.
Rolling VWAP + Bands (Tighter Option) + 2.35/3.0 Re-entry AlertsRolling VWAP + σ Bands — How to Trade It
This indicator plots a Rolling VWAP (a volume-weighted mean over a fixed bar window) along with standard deviation (σ) bands around that VWAP. The goal is simple:
Quantify “normal” price distance from value (VWAP)
Highlight statistical extremes and pullback zones
Trigger re-entry signals when price returns from extreme deviation back inside key bands (±2.35σ and ±3σ)
It’s designed for scalping and short-term decision support, especially on lower timeframes.
What the Lines Mean
VWAP (Rolling Window)
The VWAP line represents the rolling “fair value” of price, weighted by volume across the lookback window.
In ranges: VWAP acts like a gravity center
In trends: VWAP acts like a dynamic mean that price may pull back toward before continuing
σ Bands (Standard Deviation)
The σ bands show how far price is from VWAP in statistical terms:
±1σ: Normal variation
±1.5σ: Common pullback / continuation zone in trends
±2σ: Extended move / trend stress
±2.35σ: Deep extension (often a “stretched” market)
±3σ: Rare extreme (often emotional moves / liquidation wicks)
The Most Important Feature: 2.35σ and 3σ Re-entry Signals
A Re-entry signal fires when price was outside a band on the previous bar and closes back inside that band on the current bar.
Why this matters:
The market pushed into an extreme zone…
…then failed to stay there
That “failure” often leads to a snap-back toward value (VWAP) or at least toward inner bands.
In general, a 3σ re-entry is stronger than a 2.35σ re-entry, because it represents a more statistically extreme excursion that couldn’t hold.
These are not “magic reversal calls” — they’re high-quality mean-reversion triggers when conditions favor mean reversion.
Regime 1: Contracting Bands = Mean Reversion Environment
What contracting bands imply
When the bands tighten / contract, volatility is compressed. In this environment:
Price tends to oscillate around VWAP
Deviations are more likely to mean revert
Extremes are clearer and usually followed by a return toward value
How to trade mean reversion with this indicator
Core idea: fade extremes and target VWAP / inner bands.
A) Highest quality setups: 2.35σ and 3σ re-entries
These are your “strongest” mean reversion events.
Short bias setup
Price closes outside +2.35σ or +3σ
Then re-enters back below that band (signal)
Typical targets: +2σ → +1.5σ → VWAP (depending on momentum)
Long bias setup
Price closes outside −2.35σ or −3σ
Then re-enters back above that band (signal)
Typical targets: −2σ → −1.5σ → VWAP
Why these work best in contraction:
The market is statistically “stretched”
With low volatility, it’s harder for price to stay extended
Re-entry often starts the “snap-back” leg
B) Scaling / partial targets (optional approach)
If you manage positions actively:
Take partial profits at inner bands
Use VWAP as the “magnet” target when conditions remain range-bound
Risk framing for mean reversion
Mean reversion fails when price keeps walking the band and volatility expands.
Common failure clues:
Bands begin to widen aggressively
Price repeatedly holds outside outer bands
VWAP slope starts to accelerate in one direction
If that starts happening, the market is likely shifting to a trend regime.
Regime 2: Expanding Bands + VWAP Slope = Trending Environment
What trending conditions look like
Trends typically show:
VWAP sloping consistently
Bands expanding (higher volatility)
Price spending more time on one side of VWAP
Pullbacks that stall near inner/mid bands instead of reverting fully
In this environment, fading outer bands becomes lower probability because price can “ride” deviations during strong directional flow.
How to trade continuation with this indicator
Core idea: use VWAP and inner bands as pullback zones, then trade in the direction of the VWAP slope.
A) Trend continuation zones (most practical)
VWAP: first pullback level in mild trends
±1σ: shallow pullback continuation
±1.5σ: higher-quality pullback depth in stronger trends
±2σ: deep pullback / trend stress (more caution)
Example (uptrend):
VWAP rising
Price pulls down into VWAP / +1σ / +1.5σ area
Continuation entries are considered when price stabilizes and pushes back with the trend
Example (downtrend):
VWAP falling
Price pulls up into VWAP / −1σ / −1.5σ area
Continuation entries are considered when price rejects and rotates back down
What to do with 2.35σ / 3σ re-entry signals in trends
Re-entry signals can still occur in trends, but they should be interpreted differently:
In strong trends, an outer-band re-entry may only produce a brief bounce/rotation, not a full mean reversion to VWAP.
Targets may be more realistic at inner bands rather than expecting VWAP every time.
In other words:
Range: outer-band re-entries often aim toward VWAP.
Trend: outer-band re-entries often aim toward 2σ / 1.5σ / 1σ first.
Practical Regime Filter (simple visual read)
This script intentionally doesn’t hard-code a “trend/range detector,” but you can visually infer regime quickly:
Mean reversion bias
Bands contracting or stable
VWAP mostly flat
Price crossing VWAP frequently
Trend continuation bias
Bands expanding
VWAP clearly sloped
Price holding mostly on one side of VWAP
Notes on σ Calculation Options
This indicator includes σ mode toggles:
Unweighted σ (tighter): treats price deviations more “purely” and often gives bands that react more tightly to price behavior.
Volume-weighted σ: emphasizes high-volume price action in the deviation calculation.
Both are valid — test based on your market and timeframe.
Summary Cheat Sheet
Contracting bands (range / compression)
Favor: mean reversion
Best signals: 2.35σ and 3σ re-entry
Typical targets: inner bands → VWAP
Expanding bands + sloped VWAP (trend)
Favor: continuation
Use pullbacks to: VWAP / 1σ / 1.5σ as entry zones
Outer-band re-entries: treat as rotation opportunities, not guaranteed full reversals
EMA 9 & 26 Crossover by SN TraderEMA 9 & 26 Crossover by SN Trader – Clean Trend Signal Indicator |
The EMA 9 & 26 Cross (+ Marker) indicator is a lightweight and effective trend-direction and momentum-shift tool that visually marks EMA crossover events using simple “+” symbols placed directly above or below price candles.
This indicator is ideal for scalping, intraday trading, and swing trading across Forex, Crypto, Stocks, Indices, and Commodities.
🔹 Indicator Logic
EMA 9 (Green) → Fast momentum
EMA 26 (Red) → Trend direction
🟢 Green “+” (Below Candle)
Appears when EMA 9 crosses ABOVE EMA 26
Indicates bullish momentum or trend continuation
🔴 Red “+” (Above Candle)
Appears when EMA 26 crosses ABOVE EMA 9
Indicates bearish momentum or potential trend reversal
📈 How to Use
✔ Look for Green “+” for bullish bias
✔ Look for Red “+” for bearish bias
✔ Trade in the direction of higher-timeframe trend
✔ Combine with RSI, UT Bot, VWAP, MACD, Support & Resistance for confirmation
✅ Best For
Trend identification
Momentum confirmation
Scalping & intraday entries
Swing trade timing
Multi-timeframe analysis
⚙️ Features
✔ Clean & minimal design
✔ Non-repainting crossover signals
✔ Works on all timeframes & markets
✔ Pine Script v6 compliant
✔ Beginner & professional friendly
⚠️ Disclaimer
This indicator is for educational purposes only and does not provide financial advice. Always use risk management and additional confirmation before trading.
Triple ST + MACD + 7x MTF EMA + VWAP + ORB + Lux Pivots + AMA//@version=6
indicator('Triple ST + MACD + 7x MTF EMA + VWAP + ORB + Lux Pivots + AMA', overlay = true, max_labels_count = 500)
//━━━━━━━━━━━━━━━━━━━
// INPUTS
//━━━━━━━━━━━━━━━━━━━
// AMA Signals Group (Zeiierman Style)
showAMA = input.bool(true, "Show AMA Signals", group="AMA Signals")
amaLength = input.int(10, "AMA Length", group="AMA Signals")
amaFast = input.int(2, "AMA Fast Period", group="AMA Signals")
amaSlow = input.int(30, "AMA Slow Period", group="AMA Signals")
// SuperTrend Group
atrPeriodPrimary = input.int(18, 'Primary ST ATR Period', group="SuperTrend")
multiplierPrimary = input.float(4.0, 'Primary 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")
// LuxAlgo Style Pivots (50 Lookback)
showPivots = input.bool(true, "Show Pivot High/Low", group="LuxAlgo Pivots")
pivotLen = input.int(50, "Pivot Lookback", group="LuxAlgo Pivots")
showMissed = input.bool(true, "Show Missed Reversal Levels", group="LuxAlgo Pivots")
// Previous OHLC Group
showPrevOHLC = input.bool(true, "Show Previous Day OHLC?", group="Previous OHLC")
// Visuals & ORB Group
showVwap = input.bool(true, 'Show VWAP?', group="Visuals")
showORB = input.bool(true, "Show ORB", group="ORB Settings")
orbTime = input.string("0930-1000", "ORB Time Range", group="ORB Settings")
//━━━━━━━━━━━━━━━━━━━
// CALCULATIONS
//━━━━━━━━━━━━━━━━━━━
// 1. AMA Calculation (Zeiierman Logic)
fastAlpha = 2.0 / (amaFast + 1)
slowAlpha = 2.0 / (amaSlow + 1)
efficiencyRatio = math.sum(math.abs(close - close ), amaLength) != 0 ? math.abs(close - close ) / math.sum(math.abs(close - close ), amaLength) : 0
scaledAlpha = math.pow(efficiencyRatio * (fastAlpha - slowAlpha) + slowAlpha, 2)
var float amaValue = na
amaValue := na(amaValue ) ? close : amaValue + scaledAlpha * (close - amaValue )
// 2. Pivot Points & Missed Reversals (RECTIFIED: Bool Fix)
ph = ta.pivothigh(high, pivotLen, pivotLen)
pl = ta.pivotlow(low, pivotLen, pivotLen)
var float lastMissedHigh = na
var float lastMissedLow = na
if not na(ph)
lastMissedHigh := ph
if not na(pl)
lastMissedLow := pl
// 3. Custom SuperTrend Function (RECTIFIED: Parenthesis Fix)
f_supertrend(_atrLen, _mult) =>
atr_ = ta.atr(_atrLen)
upperBasic = hl2 + _mult * atr_
lowerBasic = hl2 - _mult * atr_
var float upperFinal = na
var float lowerFinal = na
upperFinal := na(upperFinal ) ? upperBasic : (upperBasic < upperFinal or close > upperFinal ? upperBasic : upperFinal )
lowerFinal := na(lowerFinal ) ? lowerBasic : (lowerBasic > lowerFinal or close < lowerFinal ? lowerBasic : lowerFinal )
var int dir = 1
if not barstate.isfirst
dir := dir
if dir == 1 and close < lowerFinal
dir := -1
else if dir == -1 and close > upperFinal
dir := 1
= f_supertrend(atrPeriodPrimary, multiplierPrimary)
// 4. MACD & 7 MTF EMAs
macdLine = ta.ema(close, fastLength) - ta.ema(close, slowLength)
signal = ta.ema(macdLine, signalLength)
ema1 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema1Len), gaps = barmerge.gaps_on)
ema2 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema2Len), gaps = barmerge.gaps_on)
ema3 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema3Len), gaps = barmerge.gaps_on)
ema4 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema4Len), gaps = barmerge.gaps_on)
ema5 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema5Len), gaps = barmerge.gaps_on)
ema6 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema6Len), gaps = barmerge.gaps_on)
ema7 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema7Len), gaps = barmerge.gaps_on)
// 5. ORB Logic
is_new_day = ta.change(time("D")) != 0
in_orb = not na(time(timeframe.period, orbTime))
var float orbHigh = na, var float orbLow = na
if is_new_day
orbHigh := na, orbLow := na
if in_orb
orbHigh := na(orbHigh) ? high : math.max(high, orbHigh)
orbLow := na(orbLow) ? low : math.min(low, orbLow)
//━━━━━━━━━━━━━━━━━━━
// PLOTTING
//━━━━━━━━━━━━━━━━━━━
// AMA Plots
plot(showAMA ? amaValue : na, "AMA Line", color=amaValue > amaValue ? color.lime : color.red, linewidth=2)
plotshape(showAMA and ta.crossover(amaValue, amaValue ), "AMA BUY", shape.labelup, location.belowbar, color.lime, 0, "BUY", color.black, size=size.small)
plotshape(showAMA and ta.crossunder(amaValue, amaValue ), "AMA SELL", shape.labeldown, location.abovebar, color.red, 0, "SELL", color.white, size=size.small)
// Pivots
plotshape(showPivots ? ph : na, "PH", shape.labeldown, location.abovebar, color.red, -pivotLen, "PH", color.white)
plotshape(showPivots ? pl : na, "PL", shape.labelup, location.belowbar, color.green, -pivotLen, "PL", color.white)
// Missed Reversal Lines
var line hLine = na, var line lLine = na
if showMissed and barstate.islast
line.delete(hLine), line.delete(lLine)
hLine := line.new(bar_index - pivotLen, lastMissedHigh, bar_index + 10, lastMissedHigh, color=color.new(color.red, 50), style=line.style_dashed)
lLine := line.new(bar_index - pivotLen, lastMissedLow, bar_index + 10, lastMissedLow, color=color.new(color.green, 50), style=line.style_dashed)
// Previous Day OHLC
= request.security(syminfo.tickerid, "D", [high , low ], lookahead=barmerge.lookahead_on)
plot(showPrevOHLC ? pdH : na, "PDH", color.gray, style=plot.style_stepline)
plot(showPrevOHLC ? pdL : na, "PDL", color.gray, style=plot.style_stepline)
// 7 EMAs & VWAP
plot(ema1, "E1", color.new(color.white, 50)), plot(ema7, "E7", color.new(color.gray, 50))
plot(showVwap ? ta.vwap : na, "VWAP", color.orange, 2)
plot(stPrimary, 'Primary ST', dirPrimary == 1 ? color.green : color.red, 2)
// MACD (RECTIFIED: Named arguments)
plotshape(ta.crossover(macdLine, signal), title="MACD+", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small)
plotshape(ta.crossunder(macdLine, signal), title="MACD-", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small)
// Global Trend Background
bgcolor(dirPrimary == 1 ? color.new(color.green, 97) : color.new(color.red, 97))
