Compression / ExpansionI created this Indicator to warn of compression and expansion so I could find the best area to trade I use it In conjunction with VWAP works on any timeframe and any asset where there is Volume
The Indicator produces a Letter C at the Start of Compression and a Letter E at the Start of Expansion you can change the settings to your liking On the chart my Expansion is in Red and compression is is Blue use In Conjunction with your favorite Indicators for Confluence
指標和策略
NeuroSwarm ETH — Crowd vs Experts Forecast TrackerEnglish:
NeuroSwarm — Crowd vs Experts Forecast Tracker (ETH)
This indicator visualizes monthly forecast data collected from two independent groups:
Crowd – a large sample of retail participants
Experts – a curated group of analysts and experienced market participants
For each month, the indicator plots the following values as horizontal levels on the price chart:
Median forecast (Crowd)
Average forecast (Crowd)
Median forecast (Experts)
Average forecast (Experts)
Shaded zones highlighting the difference between median and mean
All values are fixed for each month and stay unchanged historically.
This allows traders to analyze sentiment dynamics and compare how expectations from both groups align or diverge from actual price action.
Purpose:
This tool is intended for sentiment visualization and analytical insight — it does not generate trading signals.
Its main goal is to compare collective expectations of retail traders vs experts across time.
Data source:
All forecasts come from monthly surveys conducted within the NeuroSwarm project between the 1st and 5th day of each month.
Interface notice:
The script's UI may contain non-English labels for convenience, but a full English documentation is provided here in compliance with TradingView rules.
Русская версия:
NeuroSwarm — Мудрость Толпы vs Эксперты (ETH)
Индикатор отображает ежемесячные прогнозы двух групп:
Толпа: медиана и средняя прогнозов
Эксперты: медиана и средняя прогнозов
Значения фиксируются для каждого месяца и показываются горизонтальными уровнями.
Заливка отображает диапазон между медианой и средней, что упрощает визуальное сравнение настроений.
Это аналитический инструмент для визуализации настроений — не торговая стратегия.
Все данные берутся из ежемесячных опросов проекта NeuroSwarm.
WolfgateThe Wolfpack Framework is my core intraday execution overlay for SPY and index futures.
This script plots:
9 EMA (white) – short-term momentum and micro pullback engine
21 EMA (yellow, dotted) – intraday trend backbone and bias filter
200 SMA (purple, dotted) – primary higher-timeframe trend reference
400 SMA (red, dotted) – macro trend and extreme mean-reversion anchor
VWAP (bright blue, thick) – institutional fair value for the current session
No auto-drawn ORB, no auto levels – traders mark those manually using their own playbook to keep the chart clean and intentional.
Pair this with a separate “Volume” indicator (standard volume columns) in the lower pane for full context.
Built for 0DTE / intraday options traders who want a fast, uncluttered framework they can execute from without thinking.
NeuroSwarm BTC — Crowd vs Experts Forecast TrackerEnglish:
NeuroSwarm — Crowd vs Experts Forecast Tracker (BTC)
This indicator visualizes monthly forecasts collected from two independent groups:
Crowd – a large sample of retail traders
Experts – a smaller, curated group of analysts and experienced market participants
For each month, the following values are displayed as horizontal levels on the chart:
Median forecast of the Crowd
Average forecast of the Crowd
Median forecast of Experts
Average forecast of Experts
Shaded zones showing the range between median and mean
The values remain fixed throughout each month. This allows traders to compare sentiment dynamics between groups and see how expectations evolve relative to actual market movement.
Purpose:
This indicator is designed for sentiment analysis — NOT for generating trading signals.
It helps identify divergences between retail expectations and expert forecasts, which can be informative during trend transitions.
Data source:
All values come from monthly surveys conducted within the NeuroSwarm project (1–5 of every month).
Crowd and Expert groups are collected separately to avoid bias and to preserve independent aggregation.
Interface language note:
The indicator’s interface may contain non-English labels for ease of use, but full English documentation is provided here in compliance with TradingView House Rules.
Русская версия (optional, allowed only AFTER English):
NeuroSwarm — Мудрость Толпы vs Эксперты (BTC)
Индикатор показывает ежемесячные прогнозы двух групп:
Толпа: медиана и средняя прогнозов
Эксперты: медиана и средняя прогнозов
Значения фиксируются на весь месяц и отображаются на графике горизонтальными уровнями.
Заливка показывает диапазон между медианой и средней.
Цель индикатора — визуализировать настроение толпы и экспертов и сравнить его с реальным движением цены.
Это аналитический инструмент, а не торговая стратегия.
Данные берутся из ежемесячных опросов (1–5 числа), проводимых в рамках проекта NeuroSwarm.
Copper_to_Gold_Ratio by Zeche Cu/Au Ratio – LINES + LABELS is a clean, macro-oriented indicator built around the Copper/Gold price ratio — a well-known gauge of economic strength, market sentiment, and shifts between risk-taking and risk-aversion.
The script calculates:
the 120-day SMA of the Copper/Gold ratio
the standard deviation over the same period
the ±1σ, ±1.5σ, and ±2σ deviation bands
automatic labels on the last bar for maximum clarity
The design is minimalistic and visually optimized so users can quickly understand where the current ratio sits relative to long-term norms. The deviation zones help highlight moments when the market transitions into RISK-ON or RISK-OFF behavior.
How to interpret the signals:
Above +2σ → RISK-OFF environment (defensive tone, macro stress)
Below −2σ → RISK-ON environment (increased risk appetite)
±1σ bands represent normal cyclical movements
The SMA acts as the long-term equilibrium level
Daily Dual Pivots (Std + Fib) Extended by Jackel
簡介： 這個指標旨在為日內交易者提供最強大的支撐與阻力參考。它將市場上最常用的兩種 Pivot Points 計算方式——標準 (Standard) 與 斐波那契 (Fibonacci)——結合在同一個圖表中，讓你一眼就能看出關鍵的價格匯聚點 (Confluence Areas)。
主要特色：
雙重系統並存：
標準 Pivot (Standard)：以 實線 (Solid Lines) 顯示。這是機構與大部分交易者使用的傳統支撐阻力位。
斐波那契 Pivot (Fibonacci)：以 圓點/虛線 (Dotted Lines) 顯示。利用 Fib 黃金比例 (0.382, 0.618) 計算出的潛在反轉位。
清晰的視覺區分：標準版使用暖色系 (紅/綠/橙)，Fib 版使用冷色系 (藍/紫)，互不干擾，清晰易讀。
可選擴展關卡 (S4-S5 / R4-R5)：預設顯示 P, R1-R3, S1-S3。如果市場波動劇烈，你可以在設定中開啟 "Show Extra Levels" 來顯示 R4/R5 及 S4/S5。
自動隱藏歷史：預設只顯示「當日」的線條，保持圖表整潔。如需回測，可開啟「顯示歷史數據」選項。
如何使用：
當 實線 (Standard) 與 虛線 (Fib) 重疊或非常接近時，該區域通常具有更強的支撐或阻力效力。
適用於 15分鐘、1小時或 4小時圖表操作日內交易。
Introduction: This indicator is designed for intraday traders who need precise Support & Resistance levels. It combines the two most popular Pivot Point calculation methods—Standard (Traditional) and Fibonacci—into a single chart, allowing you to easily identify key areas of confluence.
Key Features:
Dual System Strategy:
Standard Pivots: Displayed as Solid Lines. These represent the traditional structural levels used by most traders and institutions.
Fibonacci Pivots: Displayed as Dotted/Circle Lines. These use key Fibonacci ratios (0.382, 0.618) to identify potential reversal zones.
Visual Clarity: Different line styles and color groups allow you to distinguish between Standard and Fib levels instantly without chart clutter.
Extended Levels (Optional): By default, it shows P, R1-R3, and S1-S3. In highly volatile markets, you can enable "Show Extra Levels" in the settings to reveal S4/S5 and R4/R5.
Clean Chart: By default, it only shows levels for the current day. You can enable "Show History" in the settings if you need to backtest.
How to Use:
Look for Confluence: When a Solid Line (Standard) and a Dotted Line (Fib) overlap or are very close to each other, it indicates a very strong Support or Resistance zone.
Best used on 15m, 1H, or 4H charts for intraday analysis.
Momentum Permission + Pivot Entry + Exit (v1.4 FULL)//@version=5
indicator("Momentum Permission + Pivot Entry + Exit (v1.4 FULL)", overlay=true)
// ──────────────────────────────────────────────
// Inputs
// ──────────────────────────────────────────────
smaLength = input.int(50, "SMA Length")
relVolThresh = input.float(1.3, "Relative Volume Threshold")
pivotLookback = input.int(3, "Pivot Lookback Bars")
// ──────────────────────────────────────────────
// Core Calculations
// ──────────────────────────────────────────────
sma50 = ta.sma(close, smaLength)
vwap = ta.vwap(close)
relVol = volume / ta.sma(volume, 10)
aboveSMA = close > sma50
aboveVWAP = close > vwap
relStrong = relVol > relVolThresh
greenCandle = close > open
crossUp = ta.crossover(close, sma50)
// ──────────────────────────────────────────────
// One-Time Daily Permission
// ──────────────────────────────────────────────
var bool permission = false
if ta.change(time("D"))
permission := false
permitSignal = crossUp and aboveVWAP and relStrong and not permission
if permitSignal
permission := true
// ──────────────────────────────────────────────
// Entry: Pivot Break Continuation
// ──────────────────────────────────────────────
pivotHighBreak = close > ta.highest(high , pivotLookback)
entrySignal = (
permission and
aboveSMA and
aboveVWAP and
relStrong and
greenCandle and
pivotHighBreak
)
// ──────────────────────────────────────────────
// Exit: Trend Exhaustion / VWAP Breakdown
// ──────────────────────────────────────────────
smaChange = sma50 - sma50
exitSignal = (
permission and
close < vwap and
close < open and
relStrong and
smaChange < 0
)
// ──────────────────────────────────────────────
// VISUAL PLOTS (same as before)
// ──────────────────────────────────────────────
plot(sma50, title="SMA50", color=color.orange, linewidth=2)
plot(vwap, title="VWAP", color=color.new(color.blue, 0), linewidth=2)
plotshape(
permitSignal,
title="Trend Permission",
style=shape.triangleup,
location=location.belowbar,
color=color.new(color.green, 0),
size=size.large,
text="PERMIT"
)
plotshape(
entrySignal,
title="Entry Trigger",
style=shape.triangleup,
location=location.abovebar,
color=color.new(color.aqua, 0),
size=size.normal,
text="ENTRY"
)
plotshape(
exitSignal,
title="Exit Signal",
style=shape.triangledown,
location=location.abovebar,
color=color.new(color.red, 0),
size=size.large,
text="EXIT"
)
// ──────────────────────────────────────────────
// SCREENER OUTPUT (persistent 0/1 for the day)
// ──────────────────────────────────────────────
var bool permitToday = false
var bool entryToday = false
var bool exitToday = false
if ta.change(time("D"))
permitToday := false
entryToday := false
exitToday := false
if permitSignal
permitToday := true
if entrySignal
entryToday := true
if exitSignal
exitToday := true
// Hidden plots for screener columns
plot(permitToday ? 1 : 0, title="PERMIT", display=display.none)
plot(entryToday ? 1 : 0, title="ENTRY", display=display.none)
plot(exitToday ? 1 : 0, title="EXIT", display=display.none)
// Alerts
alertcondition(permitSignal, title="PERMIT", message="Momentum PERMISSION fired")
alertcondition(entrySignal, title="ENTRY", message="Momentum ENTRY fired")
alertcondition(exitSignal, title="EXIT", message="Momentum EXIT fired")
Obsidian Flux Matrix# Obsidian Flux Matrix | JackOfAllTrades
Made with my Senior Level AI Pine Script v6 coding bot for the community!
Narrative Overview
Obsidian Flux Matrix (OFM) is an open-source Pine Script v6 study that fuses social sentiment, higher timeframe trend bias, fair-value-gap detection, liquidity raids, VWAP gravitation, session profiling, and a diagnostic HUD. The layout keeps the obsidian palette so critical overlays stay readable without overwhelming a price chart.
Purpose & Scope
OFM focuses on actionable structure rather than marketing claims. It documents every driver that powers its confluence engine so reviewers understand what triggers each visual.
Core Analytical Pillars
1. Social Pulse Engine
Sentiment Webhook Feed: Accepts normalized scores (-1 to +1). Signals only arm when the EMA-smoothed value exceeds the `sentimentMin` input (0.35 by default).
Volume Confirmation: Requires local volume > 30-bar average × `volSpikeMult` (default 2.0) before sentiment flags.
EMA Cross Validation: Fast EMA 8 crossing above/below slow EMA 21 keeps momentum aligned with flow.
Momentum Alignment: Multi-timeframe momentum composite must agree (positive for longs, negative for shorts).
2. Peer Momentum Heatmap
Multi-Timeframe Blend: RSI + Stoch RSI fetched via request.security() on 1H/4H/1D by default.
Composite Scoring: Each timeframe votes +1/-1/0; totals are clamped between -3 and +3.
Intraday Readability: Configurable band thickness (1-5) so scalpers see context without losing space.
Dynamic Opacity: Stronger agreement boosts column opacity for quick bias checks.
3. Trend & Displacement Framework
Dual EMA Ribbon: Cyan/magenta ribbon highlights immediate posture.
HTF Bias: A higher-timeframe EMA (default 55 on 4H) sets macro direction.
Displacement Score: Body-to-ATR ratio (>1.4 default) detects impulses that seed FVGs or VWAP raids.
ATR Normalization: All thresholds float with volatility so the study adapts to assets and regimes.
4. Intelligent Fair Value Gap (FVG) System
Gap Detection: Three-candle logic (bullish: low > high ; bearish: high < low ) with ATR-sized minimums (0.15 × ATR default).
Overlap Prevention: Price-range checks stop redundant boxes.
Spacing Control: `fvgMinSpacing` (default 5) avoids stacking from the same impulse.
Storage Caps: Max three FVGs per side unless the user widens the limit.
Session Awareness: Kill zone filters keep taps focused on London/NY if desired.
Auto Cleanup: Boxes delete when price closes beyond their invalidation level.
5. VWAP Magnet + Liquidity Raid Engine
Session or Rolling VWAP: Toggle resets to match intraday or rolling preferences.
Equal High/Low Scanner: Looks back 20 bars by default for liquidity pools.
Displacement Filter: ATR multiplier ensures raids represent genuine liquidity sweeps.
Mean Reversion Focus: Signals fire when price displaces back toward VWAP following a raid.
6. Session Range Breakout System
Initial Balance Tracking: First N bars (15 default) define the session box.
Breakout Logic: Requires simultaneous liquidity spikes, nearby FVG activity, and supportive momentum.
Z-Score Volume Filter: >1.5σ by default to filter noisy moves.
7. Lifestyle Liquidity Scanner
Volume Z-Scores: 50-bar baseline highlights statistically significant spikes.
Smart Money Footprints: Bottom-of-chart squares color-code buy vs sell participation.
Panel Memory: HUD logs the last five raid timestamps, direction, and normalized size.
8. Risk Matrix & Diagnostic HUD
HUD Structure: Table in the top-right summarizes HTF bias, sentiment, momentum, range state, liquidity memory, and current risk references.
Signal Tags: Aggregates SPS, FVG, VWAP, Range, and Liquidity states into a compact string.
Risk Metrics: Swing-based stops (5-bar lookback) + ATR targets (1.5× default) keep risk transparent.
Signal Families & Alerts
Social Pulse (SPS): Volume-confirmed sentiment alignment; triangle markers with “SPS”.
Kill-Zone FVG: Session + HTF alignment + FVG tap; arrow markers plus SL/TP labels.
Local FVG: Captures local reversals when HTF bias has not flipped yet.
VWAP Raid: Equal-high/low raids that snap toward VWAP; “VWAP” label markers.
Range Breakout: Initial balance violations with liquidity and imbalance confirmation; circle markers.
Liquidity Spike: Z-score spikes ≥ threshold; square markers along the baseline.
Visual Design & Customization
Theme Palette: Primary background RGB (12,6,24). Accent shading RGB (26,10,48). Long accents RGB (88,174,255). Short accents RGB (219,109,255).
Stylized Candles: Optional overlay using theme colors.
Signal Toggles: Independently enable markers, heatmap, and diagnostics.
Label Spacing: Auto-spacing enforces ≥4-bar gaps to prevent text overlap.
Customization & Workflow Notes
Adjust ATR/FVG thresholds when volatility shifts.
Re-anchor sentiment to your webhook cadence; EMA smoothing (default 5) dampens noise.
Reposition the HUD by editing the `table.new` coordinates.
Use multiples of the chart timeframe for HTF requests to minimize load.
Session inputs accept exchange-local time; align them to your market.
Performance & Compliance
Pure Pine v6: Single-line statements, no `lookahead_on`.
Resource Safe: Arrays trimmed, boxes limited, `request.security` cached.
Repaint Awareness: Signals confirm on close; alerts mirror on-chart logic.
Runtime Safety: Arrays/loops guard against `na`.
Use Cases
Measure when social sentiment aligns with structure.
Plan ICT-style intraday rebalances around session-specific FVG taps.
Fade VWAP raids when displacement shows exhaustion.
Watch initial balance breaks backed by statistical volume.
Keep risk/target references anchored in ATR logic.
Signal Logic Snapshot
Social Pulse Long/Short: `sentimentEMA` gated by `sentimentMin`, `volSpike`, EMA 8/21 cross, and `momoComposite` sign agreement. Keeps hype tied to structural follow-through.
Kill-Zone FVG Long/Short: Requires session filter, HTF EMA bias alignment, and an active FVG tap (`bullFvgTap` / `bearFvgTap`). Labels include swing stops + ATR targets pulled from `swingLookback` and `liqTargetMultiple`.
Local FVG Long/Short: Uses `localBullish` / `localBearish` heuristics (EMA slope, displacement, sequential closes) to surface intraday reversals even when HTF bias has not flipped.
VWAP Raids: Detect equal-high/equal-low sweeps (`raidHigh`, `raidLow`) that revert toward `sessionVwap` or rolling VWAP when displacement exceeds `vwapAlertDisplace`.
Range Breakouts: Combine `rangeComplete`, breakout confirmation, liquidity spikes, and nearby FVG activity for statistically backed initial balance breaks.
Liquidity Spikes: Volume Z-score > `zScoreThreshold` logs direction, size, and timestamp for the HUD and optional review workflows.
Session Logic & VWAP Handling
Kill zone + NY session inputs use TradingView’s session strings; `f_inSession()` drives both visual shading and whether FVG taps are tradeable when `killZoneOnly` is true.
Session VWAP resets using cumulative price × volume sums that restart when the daily timestamp changes; rolling VWAP falls back to `ta.vwap(hlc3)` for instruments where daily resets are less relevant.
Initial balance box (`rangeBars` input) locks once complete, extends forward, and stays on chart to contextualize later liquidity raids or breakouts.
Parameter Reference
Trend: `emaFastLen`, `emaSlowLen`, `htfResolution`, `htfEmaLen`, `showEmaRibbon`, `showHtfBiasLine`.
Momentum: `tf1`, `tf2`, `tf3`, `rsiLen`, `stochLen`, `stochSmooth`, `heatmapHeight`.
Volume/Liquidity: `volLookback`, `volSpikeMult`, `zScoreLen`, `zScoreThreshold`, `equalLookback`.
VWAP & Sessions: `vwapMode`, `showVwapLine`, `vwapAlertDisplace`, `killSession`, `nySession`, `showSessionShade`, `rangeBars`.
FVG/Risk: `fvgMinTicks`, `fvgLookback`, `fvgMinSpacing`, `killZoneOnly`, `liqTargetMultiple`, `swingLookback`.
Visualization Toggles: `showSignalMarkers`, `showHeatmapBand`, `showInfoPanel`, `showStylizedCandles`.
Workflow Recipes
Kill-Zone Continuation: During the defined kill session, look for `killFvgLong` or `killFvgShort` arrows that line up with `sentimentValid` and positive `momoComposite`. Use the HUD’s risk readout to confirm SL/TP distances before entering.
VWAP Raid Fade: Outside kill zone, track `raidToVwapLong/Short`. Confirm the candle body exceeds the displacement multiplier, and price crosses back toward VWAP before considering reversions.
Range Break Monitor: After the initial balance locks, mark `rangeBreakLong/Short` circles only when the momentum band is >0 or <0 respectively and a fresh FVG box sits near price.
Liquidity Spike Review: When the HUD shows “Liquidity” timestamps, hover the plotted squares at chart bottom to see whether spikes were buy/sell oriented and if local FVGs formed immediately after.
Metadata
Author: officialjackofalltrades
Platform: TradingView (Pine Script v6)
Category: Sentiment + Liquidity Intelligence
Hope you Enjoy!
Minho Index | SETUP+@TraderMinho//@version=5
// By: Trader Minho — Analista Gráfico desde 2022
indicator("Minho Index | SETUP+@TraderMinho", shorttitle="Minho Index (Classic)", overlay=false)
//--------------------------------------------------------
// PARAMETERS
//--------------------------------------------------------
shortPeriod = input.int(3, "Short Period")
mediumPeriod = input.int(8, "Medium Period")
longPeriod = input.int(20, "Long Period")
intensityFactor = input.float(3.0, "Intensity Factor", step = 0.1)
shortSmoothing = input.int(2, "Short Smoothing (EMA)")
mediumSmoothing = input.int(5, "Medium Smoothing (EMA)")
shortColor = input.color(color.new(#00CED1, 0), "Short Line Color (Aqua Blue)")
mediumColor = input.color(color.new(#FFD700, 0), "Medium Line Color (Yellow)")
zeroColor = input.color(color.new(color.white, 0), "Zero Line Color")
lineWidth = input.int(1, "Line Thickness")
//--------------------------------------------------------
// MOVING AVERAGE CALCULATIONS
//--------------------------------------------------------
smaShort = ta.sma(close, shortPeriod)
smaMedium = ta.sma(close, mediumPeriod)
smaLong = ta.sma(close, longPeriod)
//--------------------------------------------------------
// CLASSIC DIDI NORMALIZATION
//--------------------------------------------------------
priceBase = ta.sma(close, longPeriod)
didiShort = ((smaShort - smaLong) / priceBase) * intensityFactor
didiMedium = ((smaMedium - smaLong) / priceBase) * intensityFactor
//--------------------------------------------------------
// FINAL SMOOTHING (CLASSIC NEEDLE EFFECT)
//--------------------------------------------------------
aquaSmooth = ta.ema(didiShort, shortSmoothing)
yellowSmooth = ta.ema(didiMedium, mediumSmoothing)
//--------------------------------------------------------
// PLOTS
//--------------------------------------------------------
hline(0, "Zero Line", color = zeroColor, linewidth = 1)
plot(aquaSmooth, "Short (Aqua)", color = shortColor, linewidth = lineWidth)
plot(yellowSmooth, "Medium (Yellow)", color = mediumColor, linewidth = lineWidth)
Momentum Permission + VWAP + RelVol (Clean)//@version=5
indicator("Momentum Permission + VWAP + RelVol (Clean)", overlay=true)
// ──────────────────────────────────────────────
// Inputs
// ──────────────────────────────────────────────
smaLength = input.int(50, "SMA Length")
relVolThresh = input.float(1.3, "Relative Volume Threshold")
// ──────────────────────────────────────────────
// Core Calculations
// ──────────────────────────────────────────────
sma50 = ta.sma(close, smaLength)
vwap = ta.vwap(close)
relVol = volume / ta.sma(volume, 10)
crossUp = ta.crossover(close, sma50)
// Trend conditions
aboveSMA = close > sma50
aboveVWAP = close > vwap
relStrong = relVol > relVolThresh
// ──────────────────────────────────────────────
// One-Time Daily Trend Permission Logic
// ──────────────────────────────────────────────
var bool permission = false
// Reset permission at start of each session
if ta.change(time("D"))
permission := false
trendStart = crossUp and aboveVWAP and relStrong and not permission
if trendStart
permission := true
// ──────────────────────────────────────────────
// Entry Trigger Logic (Breakout Continuation)
// ──────────────────────────────────────────────
entryTrigger = (
permission and
aboveSMA and
aboveVWAP and
relStrong and
close > high // breakout of prior candle high
)
// ──────────────────────────────────────────────
// Plots
// ──────────────────────────────────────────────
// Trend filters
plot(sma50, title="SMA50", color=color.orange, linewidth=2)
plot(vwap, title="VWAP", color=color.new(color.blue, 0), linewidth=2)
// Permission (one-time trend start)
plotshape(
trendStart,
title="Trend Permission",
style=shape.triangleup,
location=location.belowbar,
color=color.new(color.green, 0),
size=size.large,
text="PERMIT"
)
// Entry trigger (continuation entry)
plotshape(
entryTrigger,
title="Entry Trigger",
style=shape.triangleup,
location=location.abovebar,
color=color.new(color.aqua, 0),
size=size.normal,
text="ENTRY"
)
VWAP + EMA9/21/50 + Ichimoku + RSI (M5) - Strict + TPSL//@version=5
indicator("VWAP + EMA9/21/50 + Ichimoku + RSI (M5) - Strict + TPSL", overlay=true, shorttitle="VWAP_EMA_ICH_RSI_TPSL")
// === Inputs ===
emaFastLen = input.int(9, "EMA Fast (9)")
emaMidLen = input.int(21, "EMA Mid (21)")
emaSlowLen = input.int(50, "EMA Slow (50)")
// Ichimoku inputs
tenkanLen = input.int(9, "Tenkan Sen Length")
kijunLen = input.int(26, "Kijun Sen Length")
senkouBLen = input.int(52, "Senkou B Length")
displacement = input.int(26, "Displacement")
// RSI
rsiLen = input.int(14, "RSI Length")
rsiThreshold = input.int(50, "RSI Threshold")
// VWAP option
useSessionVWAP = input.bool(true, "Use Session VWAP (true) / Daily VWAP (false)")
// Volume filter
useVolumeFilter = input.bool(true, "Enable Volume Filter")
volAvgLen = input.int(20, "Volume Avg Length")
volMultiplier = input.float(1.2, "Min Volume > avg *", step=0.1)
// Higher timeframe trend check
useHTF = input.bool(true, "Enable Higher-Timeframe Trend Check")
htfTF = input.string("60", "HTF timeframe (e.g. 60, 240, D)")
// Alerts / webhook
alertOn = input.bool(true, "Enable Alerts")
useWebhook = input.bool(true, "Send webhook on alerts")
webhookURL = input.string("", "Webhook URL (leave blank to set in alert)")
// TP/SL & Trailing inputs
useTP = input.bool(true, "Enable Take Profit (TP)")
tpTypeRR = input.bool(true, "TP as Risk-Reward ratio (true) / Fixed points (false)")
tpRR = input.float(1.5, "TP RR (e.g. 1.5)", step=0.1)
fixedTPpts = input.float(40.0, "Fixed TP (ticks/pips) if not RR")
useSL = input.bool(true, "Enable Stop Loss (SL)")
slTypeATR = input.bool(true, "SL as ATR-based (true) / Fixed points (false)")
atrLen = input.int(14, "ATR Length")
atrMult = input.float(1.5, "ATR Multiplier for SL", step=0.1)
fixedSLpts = input.float(20.0, "Fixed SL (ticks/pips) if not ATR")
useTrailing = input.bool(true, "Enable Trailing Stop")
trailType = input.string("ATR", "Trailing type: ATR or EMA", options= ) // "ATR" or "EMA"
trailATRmult = input.float(1.0, "Trailing ATR Multiplier", step=0.1)
trailEMAlen = input.int(9, "Trailing EMA Length (if EMA chosen)")
trailLockInPts = input.float(5.0, "Trail lock-in (min profit before trail active, pts)")
// Other
showArrows = input.bool(true, "Show Entry Arrows")
// === Calculations ===
ema9 = ta.ema(close, emaFastLen)
ema21 = ta.ema(close, emaMidLen)
ema50 = ta.ema(close, emaSlowLen)
// VWAP
vwapVal = ta.vwap
// Ichimoku
highestHighTenkan = ta.highest(high, tenkanLen)
lowestLowTenkan = ta.lowest(low, tenkanLen)
tenkan = (highestHighTenkan + lowestLowTenkan) / 2
highestHighKijun = ta.highest(high, kijunLen)
lowestLowKijun = ta.lowest(low, kijunLen)
kijun = (highestHighKijun + lowestLowKijun) / 2
highestHighSenkouB = ta.highest(high, senkouBLen)
lowestLowSenkouB = ta.lowest(low, senkouBLen)
senkouB = (highestHighSenkouB + lowestLowSenkouB) / 2
senkouA = (tenkan + kijun) / 2
// RSI
rsi = ta.rsi(close, rsiLen)
// Volume
volAvg = ta.sma(volume, volAvgLen)
volOk = not useVolumeFilter or (volume > volAvg * volMultiplier)
// Higher timeframe trend values
htf_close = request.security(syminfo.tickerid, htfTF, close)
htf_ema50 = request.security(syminfo.tickerid, htfTF, ta.ema(close, emaSlowLen))
htf_rsi = request.security(syminfo.tickerid, htfTF, ta.rsi(close, rsiLen))
htf_bull = htf_close > htf_ema50
htf_bear = htf_close < htf_ema50
htf_ok = not useHTF or (htf_bull and close > ema50) or (htf_bear and close < ema50)
// Trend filters (on current timeframe)
priceAboveVWAP = close > vwapVal
priceAboveEMA50 = close > ema50
priceAboveCloud = close > senkouA and close > senkouB
bullTrend = priceAboveVWAP and priceAboveEMA50 and priceAboveCloud
bearTrend = not priceAboveVWAP and not priceAboveEMA50 and not priceAboveCloud
// Pullback detection (price near EMA21 within tolerance)
tolPerc = input.float(0.35, "Pullback tolerance (%)", step=0.05) / 100.0
nearEMA21 = math.abs(close - ema21) <= ema21 * tolPerc
// Entry conditions
emaCrossUp = ta.crossover(ema9, ema21)
emaCrossDown = ta.crossunder(ema9, ema21)
longConditionBasic = bullTrend and (nearEMA21 or close >= vwapVal) and emaCrossUp and rsi > rsiThreshold
shortConditionBasic = bearTrend and (nearEMA21 or close <= vwapVal) and emaCrossDown and rsi < rsiThreshold
longCondition = longConditionBasic and volOk and htf_ok and (not useHTF or htf_bull) and (rsi > rsiThreshold)
shortCondition = shortConditionBasic and volOk and htf_ok and (not useHTF or htf_bear) and (rsi < rsiThreshold)
// More strict: require Tenkan > Kijun for bull and Tenkan < Kijun for bear
ichimokuAlign = (tenkan > kijun) ? 1 : (tenkan < kijun ? -1 : 0)
longCondition := longCondition and (ichimokuAlign == 1)
shortCondition := shortCondition and (ichimokuAlign == -1)
// ATR for SL / trailing
atr = ta.atr(atrLen)
// --- Trade management state variables ---
var float activeLongEntry = na
var float activeShortEntry = na
var float activeLongSL = na
var float activeShortSL = na
var float activeLongTP = na
var float activeShortTP = na
var float activeLongTrail = na
var float activeShortTrail = na
// Function to convert fixed points to price (assumes chart in points as price units)
fixedToPriceLong(p) => p
fixedToPriceShort(p) => p
// On signal, set entry, SL and TP
if longCondition
activeLongEntry := close
// SL
if useSL
if slTypeATR
activeLongSL := close - atr * atrMult
else
activeLongSL := close - fixedToPriceLong(fixedSLpts)
else
activeLongSL := na
// TP
if useTP
if tpTypeRR and useSL and not na(activeLongSL)
risk = activeLongEntry - activeLongSL
activeLongTP := activeLongEntry + risk * tpRR
else
activeLongTP := activeLongEntry + fixedToPriceLong(fixedTPpts)
else
activeLongTP := na
// reset short
activeShortEntry := na
activeShortSL := na
activeShortTP := na
// init trailing
activeLongTrail := activeLongSL
if shortCondition
activeShortEntry := close
if useSL
if slTypeATR
activeShortSL := close + atr * atrMult
else
activeShortSL := close + fixedToPriceShort(fixedSLpts)
else
activeShortSL := na
if useTP
if tpTypeRR and useSL and not na(activeShortSL)
riskS = activeShortSL - activeShortEntry
activeShortTP := activeShortEntry - riskS * tpRR
else
activeShortTP := activeShortEntry - fixedToPriceShort(fixedTPpts)
else
activeShortTP := na
// reset long
activeLongEntry := na
activeLongSL := na
activeLongTP := na
// init trailing
activeShortTrail := activeShortSL
// Trailing logic (update only when in profit beyond 'lock-in')
if not na(activeLongEntry) and useTrailing
// current unrealized profit in points
currProfitPts = close - activeLongEntry
if currProfitPts >= trailLockInPts
// declare candidate before use to avoid undeclared identifier errors
float candidate = na
if trailType == "ATR"
candidate := close - atr * trailATRmult
else
candidate := close - ta.ema(close, trailEMAlen)
// move trail stop up but never below initial SL
activeLongTrail := math.max(nz(activeLongTrail, activeLongSL), candidate)
// ensure trail never goes below initial SL if SL exists
if useSL and not na(activeLongSL)
activeLongTrail := math.max(activeLongTrail, activeLongSL)
// update SL to trailing
activeLongSL := activeLongTrail
if not na(activeShortEntry) and useTrailing
currProfitPtsS = activeShortEntry - close
if currProfitPtsS >= trailLockInPts
// declare candidateS before use
float candidateS = na
if trailType == "ATR"
candidateS := close + atr * trailATRmult
else
candidateS := close + ta.ema(close, trailEMAlen)
activeShortTrail := math.min(nz(activeShortTrail, activeShortSL), candidateS)
if useSL and not na(activeShortSL)
activeShortTrail := math.min(activeShortTrail, activeShortSL)
activeShortSL := activeShortTrail
// Detect TP/SL hits (for plotting & alerts)
longTPHit = not na(activeLongTP) and close >= activeLongTP
longSLHit = not na(activeLongSL) and close <= activeLongSL
shortTPHit = not na(activeShortTP) and close <= activeShortTP
shortSLHit = not na(activeShortSL) and close >= activeShortSL
if longTPHit or longSLHit
// reset long state after hit
activeLongEntry := na
activeLongSL := na
activeLongTP := na
activeLongTrail := na
if shortTPHit or shortSLHit
activeShortEntry := na
activeShortSL := na
activeShortTP := na
activeShortTrail := na
// Plot EMAs
p_ema9 = plot(ema9, title="EMA9", linewidth=1)
plot(ema21, title="EMA21", linewidth=1)
plot(ema50, title="EMA50", linewidth=2)
// Plot VWAP
plot(vwapVal, title="VWAP", linewidth=2, style=plot.style_line)
// Plot Ichimoku lines (Tenkan & Kijun)
plot(tenkan, title="Tenkan", linewidth=1)
plot(kijun, title="Kijun", linewidth=1)
// Plot cloud (senkouA & senkouB shifted forward)
plot(senkouA, title="Senkou A", offset=displacement, transp=60)
plot(senkouB, title="Senkou B", offset=displacement, transp=60)
fill(plot(senkouA, offset=displacement), plot(senkouB, offset=displacement), color = senkouA > senkouB ? color.new(color.green, 80) : color.new(color.red, 80))
// Plot active trade lines
plotshape(not na(activeLongEntry), title="Active Long", location=location.belowbar, color=color.new(color.green, 0), style=shape.circle, size=size.tiny)
plotshape(not na(activeShortEntry), title="Active Short", location=location.abovebar, color=color.new(color.red, 0), style=shape.circle, size=size.tiny)
plot(activeLongSL, title="Long SL", color=color.red, linewidth=2)
plot(activeLongTP, title="Long TP", color=color.green, linewidth=2)
plot(activeShortSL, title="Short SL", color=color.red, linewidth=2)
plot(activeShortTP, title="Short TP", color=color.green, linewidth=2)
// Arrows / labels
if showArrows
if longCondition
label.new(bar_index, low, "BUY", style=label.style_label_up, color=color.green, textcolor=color.white, size=size.small)
if shortCondition
label.new(bar_index, high, "SELL", style=label.style_label_down, color=color.red, textcolor=color.white, size=size.small)
// Alerts
// alertcondition must be declared in global scope so TradingView can create alerts from them
alertcondition(longCondition, "VWAP+EMA+Ichimoku+RSI — BUY (STRICT)", "BUY signal from VWAP+EMA+Ichimoku+RSI (STRICT)")
alertcondition(shortCondition, "VWAP+EMA+Ichimoku+RSI — SELL (STRICT)", "SELL signal from VWAP+EMA+Ichimoku+RSI (STRICT)")
// Runtime alerts (still use alert() to trigger immediate alerts; webhook is added in TradingView Alert dialog)
if alertOn
if longCondition
alert("VWAP+EMA+Ichimoku+RSI — BUY (STRICT)", alert.freq_once_per_bar_close)
if shortCondition
alert("VWAP+EMA+Ichimoku+RSI — SELL (STRICT)", alert.freq_once_per_bar_close)
// Alerts for TP/SL hits
if longTPHit
alert("LONG TP HIT", alert.freq_once_per_bar_close)
if longSLHit
alert("LONG SL HIT", alert.freq_once_per_bar_close)
if shortTPHit
alert("SHORT TP HIT", alert.freq_once_per_bar_close)
if shortSLHit
alert("SHORT SL HIT", alert.freq_once_per_bar_close)
// Info table
var table info = table.new(position.top_right, 1, 8)
if barstate.islast
table.cell(info, 0, 0, text = 'Trend: ' + (bullTrend ? 'Bull' : bearTrend ? 'Bear' : 'Neutral'))
table.cell(info, 0, 1, text = 'EMA9/21/50: ' + str.tostring(ema9, format.mintick) + ' / ' + str.tostring(ema21, format.mintick) + ' / ' + str.tostring(ema50, format.mintick))
table.cell(info, 0, 2, text = 'VWAP: ' + str.tostring(vwapVal, format.mintick))
table.cell(info, 0, 3, text = 'RSI: ' + str.tostring(rsi, format.mintick))
table.cell(info, 0, 4, text = 'Vol OK: ' + (volOk ? 'Yes' : 'No'))
table.cell(info, 0, 5, text = 'HTF: ' + htfTF + ' ' + (htf_bull ? 'Bull' : htf_bear ? 'Bear' : 'Neutral'))
table.cell(info, 0, 6, text = 'ActiveLong: ' + (not na(activeLongEntry) ? 'Yes' : 'No'))
table.cell(info, 0, 7, text = 'ActiveShort: ' + (not na(activeShortEntry) ? 'Yes' : 'No'))
// End of script
MC² Daily Candidates (v1.0 SAFE)// This Pine Script® code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © mason_fibkins
//@version=5
indicator("MC² Daily Candidates (v1.0 SAFE)", overlay=true)
// ──────────────────────────────────────────
// INTERNAL DAILY DATA (NO TIMEFRAME ARGUMENT)
// ──────────────────────────────────────────
getDaily(_src) =>
request.security(syminfo.tickerid, "D", _src)
// Daily values
d_close = getDaily(close)
d_open = getDaily(open)
d_high = getDaily(high)
d_low = getDaily(low)
d_vol = getDaily(volume)
// ──────────────────────────────────────────
// Parameters
// ──────────────────────────────────────────
lookbackVol = input.int(10, "Vol Lookback (days)")
atrLength = input.int(14, "ATR Length")
emaLen = input.int(20, "EMA Length")
smaLen = input.int(50, "SMA Length")
// ──────────────────────────────────────────
// Core Calculations (DAILY)
// ──────────────────────────────────────────
// Relative Volume
relVol = d_vol / request.security(syminfo.tickerid, "D", ta.sma(volume, lookbackVol))
// Momentum — last 2 daily bullish candles
twoGreen = (d_close > d_open) and (request.security(syminfo.tickerid, "D", close ) > request.security(syminfo.tickerid, "D", open ))
// Trend filters
emaTrend = d_close > request.security(syminfo.tickerid, "D", ta.ema(close, emaLen))
smaTrend = d_close > request.security(syminfo.tickerid, "D", ta.sma(close, smaLen))
// ATR Expansion
d_atr = request.security(syminfo.tickerid, "D", ta.atr(atrLength))
atrExpand = d_atr > request.security(syminfo.tickerid, "D", ta.atr(atrLength))
// Strong Close
dayRange = d_high - d_low
closePos = dayRange > 0 ? (d_close - d_low) / dayRange : 0.5
strongClose = closePos > 0.70
// MASTER CONDITION
candidate = relVol > 2.0 and twoGreen and emaTrend and smaTrend and atrExpand and strongClose
// ──────────────────────────────────────────
// PLOT — GREEN CIRCLE BELOW DAILY BARS
// ──────────────────────────────────────────
plotshape(candidate, title="Daily Candidate", style=shape.circle, size=size.large, color=color.new(color.green, 0), location=location.belowbar, text="MC²")
// ──────────────────────────────────────────
// END
// ──────────────────────────────────────────
plot(candidate ? 1 : 0, title="MC2_Signal", display=display.none)
Momentum Permission + Pivot Entry + Exit (v1.4 FINAL SCAN)plot(permitOut, "PERMIT", display=display.none)
plot(entryOut, "ENTRY", display=display.none)
plot(exitOut, "EXIT", display=display.none)
Momentum Permission + Pivot Entry + Exit (v1.4)//@version=5
indicator("Momentum Permission + Pivot Entry + Exit (v1.4)", overlay=true)
// ──────────────────────────────────────────────
// Inputs
// ──────────────────────────────────────────────
smaLength = input.int(50, "SMA Length")
relVolThresh = input.float(1.3, "Relative Volume Threshold")
pivotLookback = input.int(3, "Pivot Break Lookback")
// ──────────────────────────────────────────────
// Core Calculations
// ──────────────────────────────────────────────
sma50 = ta.sma(close, smaLength)
vwap = ta.vwap(close)
relVol = volume / ta.sma(volume, 10)
crossUp = ta.crossover(close, sma50)
aboveSMA = close > sma50
aboveVWAP = close > vwap
relStrong = relVol > relVolThresh
greenCandle = close > open
// ──────────────────────────────────────────────
// One-Time Daily Trend Permission
// ──────────────────────────────────────────────
var bool permission = false
if ta.change(time("D"))
permission := false
trendStart = crossUp and aboveVWAP and relStrong and not permission
if trendStart
permission := true
// ──────────────────────────────────────────────
// Pullback Pivot Breakout Entry (Continuation Long)
// ──────────────────────────────────────────────
pivotHighBreak = close > ta.highest(high , pivotLookback)
entryTrigger = (
permission and
aboveSMA and
aboveVWAP and
relStrong and
greenCandle and
pivotHighBreak
)
// ──────────────────────────────────────────────
// EXIT Signal (Trend Exhaustion)
// ──────────────────────────────────────────────
smaChange = sma50 - sma50
exitSignal = (
permission and // only after trend started
close < vwap and // VWAP breakdown
close < open and // red candle body
relVol > relVolThresh and // volume spike on selling
smaChange < 0 // SMA turning down / flattening
)
// ──────────────────────────────────────────────
// Plots
// ──────────────────────────────────────────────
plot(sma50, title="SMA50", color=color.orange, linewidth=2)
plot(vwap, title="VWAP", color=color.new(color.blue, 0), linewidth=2)
// Permission marker (1 per day)
plotshape(
trendStart,
title="Trend Permission",
style=shape.triangleup,
location=location.belowbar,
color=color.new(color.green, 0),
size=size.large,
text="PERMIT"
)
// Entry trigger markers
plotshape(
entryTrigger,
title="Entry Trigger",
style=shape.triangleup,
location=location.abovebar,
color=color.new(color.aqua, 0),
size=size.normal,
text="ENTRY"
)
// EXIT marker (trend exhaustion)
plotshape(
exitSignal,
title="Exit Signal",
style=shape.triangledown,
location=location.abovebar,
color=color.new(color.red, 0),
size=size.large,
text="EXIT"
)
Ichimoku Multi-Timeframe Heatmap 12/5/2025
Multi-Timeframe Ichimoku Heatmap - Scan Your Watchlist in Seconds
This indicator displays all 5 critical Ichimoku signals (Cloud Angle, Lagging Line, Price vs Cloud, Kijun Slope, and Tenkan/Kijun Cross) across 10 timeframes (15s, 1m, 3m, 5m, 15m, 30m, 1h, 4h, Daily, Weekly) in one compact heatmap table. Instantly spot multi-timeframe trend alignment with color-coded cells: green for bullish, red for bearish, and gray for neutral. Perfect for quickly scanning through your entire watchlist to identify the strongest setups with confluent signals across all timeframes.
Instant Volume Flow1. Volume Bars (Green/Red)
Shows instantly whether buyers or sellers are dominant.
2. Delta Volume Histogram
Green = net buying pressure
Red = net selling pressure
This lets you spot:
Big sell dumps
Sudden buy absorption
Volume momentum shifts
3. Spike Alerts
You get alerts when volume is more than 2× the 20-MA average volume.
Pharma vs Market Monthly Returns (XLV vs SPY)A Bloomberg-style pharma momentum indicator built for TradingView.
This script recreates the “Pharma Index Monthly Returns” chart highlighted by Jordi Visser in his Youtube video — offering a clean, accessible poor man’s Bloomberg version of sector-rotation analysis for users without institutional data feeds.
Features
• XLV monthly returns (absolute mode)
• XLV vs SPY relative monthly returns (market-neutral mode)
• Top 5 strongest months ★ (momentum spikes)
• Top 5 weakest months ★ (capitulation signals)
• Optional 6-month rolling momentum line (regime trend)
• Full history from 1998 (XLV inception)
Use Cases
Ideal for tracking pharma/healthcare sector regimes, macro rotations, biotech cycles, and timing asymmetric entries in innovation themes (AI-pharma, computational drug discovery, biotech moonshots, etc.).
Daily Dollar Cost Averaging (DCA) Simulator & Yearly PerformanceThis indicator simulates a "Daily Dollar Cost Averaging" strategy directly on your chart. Unlike standard backtesters that trade based on signals, this script calculates the performance of a portfolio where a fixed dollar amount is invested every single day, regardless of price action.
Key Features:
Daily Accumulation: Simulates buying a specific dollar amount (e.g., $10) at the market close every day.
Yearly Breakdown Table: A detailed dashboard displayed on the chart that breaks down performance by year. It tracks total invested, average entry price, total holdings, current value, and PnL percentage for each individual year.
Global Stats: The bottom row of the table summarizes the total performance of the entire strategy since the start date.
Breakeven Line: Plots a yellow line on the chart representing your "Global Average Price." When the current price is above this line, the total strategy is in profit.
How to Use:
Add to chart (Works best on the Daily (D) timeframe).
Open settings to adjust your Daily Investment Amount and Start Year.
The table will automatically update to show how a daily investment strategy would have performed over time.
Buy-Sell Arrows – SuperTrend Entries OnlyRecommended Rules for "Buy Calls Only + Exit Fast on Downtrend"
Signal from SuperTrend Script Your Action (Calls Only)
Green BUY arrow → Enter calls (ATM or slightly OTM, 21–45 DTE)
Red SELL arrow → Immediately exit the call (market order or tight stop) — do NOT wait
No position between signals Stay in cash — no calls open during red SuperTrend phases
RSI + MACD Day Trading Toolkit//@version=6
indicator("RSI + MACD Day Trading Toolkit", overlay = true)
//──────────────────────────────────────────────────────────────────────────────
// 1. INPUTS
//──────────────────────────────────────────────────────────────────────────────
// RSI settings
rsiLength = input.int(14, "RSI Length")
rsiOverbought = input.float(70, "RSI Overbought Level", minval = 50, maxval = 100)
rsiOversold = input.float(30, "RSI Oversold Level", minval = 0, maxval = 50)
// MACD settings (classic 12 / 26 / 9)
macdFastLength = input.int(12, "MACD Fast Length")
macdSlowLength = input.int(26, "MACD Slow Length")
macdSignalLength = input.int(9, "MACD Signal Length")
// Risk model selection
riskModel = input.string("ATR", "Risk Model", options = )
// ATR-based SL/TP
atrLength = input.int(14, "ATR Length")
atrSLMult = input.float(1.5, "SL ATR Multiplier", minval = 0.1, step = 0.1)
atrTPMult = input.float(2.5, "TP ATR Multiplier", minval = 0.1, step = 0.1)
// Percent-based SL/TP (for scalping on very tight spreads)
slPercent = input.float(0.5, "SL % (when Risk Model = Percent)", minval = 0.05, step = 0.05)
tpPercent = input.float(1.0, "TP % (when Risk Model = Percent)", minval = 0.05, step = 0.05)
// Visual / styling
showSLTPLines = input.bool(true, "Plot Stop Loss / Take Profit Lines")
//──────────────────────────────────────────────────────────────────────────────
// 2. CORE INDICATORS: RSI & MACD
//──────────────────────────────────────────────────────────────────────────────
rsiValue = ta.rsi(close, rsiLength)
// Manual MACD calculation (avoids tuple unpacking issues)
macdFastEMA = ta.ema(close, macdFastLength)
macdSlowEMA = ta.ema(close, macdSlowLength)
macdValue = macdFastEMA - macdSlowEMA
macdSignal = ta.ema(macdValue, macdSignalLength)
macdHist = macdValue - macdSignal
atrValue = ta.atr(atrLength)
// Hide internal plots from price scale (still accessible if you change display)
plot(rsiValue, "RSI", display = display.none)
plot(macdValue, "MACD", display = display.none)
plot(macdSignal, "MACD Sig", display = display.none)
plot(macdHist, "MACD Hist", display = display.none)
//──────────────────────────────────────────────────────────────────────────────
// 3. SIGNAL LOGIC (ENTRY CONDITIONS)
//──────────────────────────────────────────────────────────────────────────────
//
// Idea:
// - LONG bias: RSI emerges from oversold AND MACD crosses above signal below zero
// - SHORT bias: RSI falls from overbought AND MACD crosses below signal above zero
//
// Combines momentum (RSI) with trend confirmation (MACD).
//──────────────────────────────────────────────────────────────────────────────
// RSI events
rsiBullCross = ta.crossover(rsiValue, rsiOversold) // RSI crosses UP out of oversold
rsiBearCross = ta.crossunder(rsiValue, rsiOverbought) // RSI crosses DOWN from overbought
// MACD crossover with trend filter
macdBullCross = ta.crossover(macdValue, macdSignal) and macdValue < 0 // Bullish cross below zero-line
macdBearCross = ta.crossunder(macdValue, macdSignal) and macdValue > 0 // Bearish cross above zero-line
// Raw (ungated) entry signals
rawLongSignal = rsiBullCross and macdBullCross
rawShortSignal = rsiBearCross and macdBearCross
//──────────────────────────────────────────────────────────────────────────────
// 4. STATE MANAGEMENT (SIMULATED POSITION TRACKING)
//──────────────────────────────────────────────────────────────────────────────
//
// position: 1 = long
// -1 = short
// 0 = flat
//
// We track entry price and SL/TP levels as if this were a strategy.
// This is still an indicator – it just computes and plots the logic.
//──────────────────────────────────────────────────────────────────────────────
var int position = 0
var float longEntryPrice = na
var float shortEntryPrice = na
var float longSL = na
var float longTP = na
var float shortSL = na
var float shortTP = na
// Per-bar flags (for plotting / alerts)
var bool longEntrySignal = false
var bool shortEntrySignal = false
var bool longExitSignal = false
var bool shortExitSignal = false
// Reset per-bar flags each bar
longEntrySignal := false
shortEntrySignal := false
longExitSignal := false
shortExitSignal := false
//──────────────────────────────────────────────────────────────────────────────
// 5. EXIT LOGIC (STOP LOSS / TAKE PROFIT / OPPOSITE SIGNAL)
//──────────────────────────────────────────────────────────────────────────────
//
// Exits are evaluated BEFORE new entries on each bar.
//──────────────────────────────────────────────────────────────────────────────
// Stop-loss / take-profit hits for existing positions
longStopHit = position == 1 and not na(longSL) and low <= longSL
longTakeHit = position == 1 and not na(longTP) and high >= longTP
shortStopHit = position == -1 and not na(shortSL) and high >= shortSL
shortTakeHit = position == -1 and not na(shortTP) and low <= shortTP
// Opposite signals can also close positions
reverseToShort = position == 1 and rawShortSignal
reverseToLong = position == -1 and rawLongSignal
// Combine exit conditions
longExitNow = longStopHit or longTakeHit or reverseToShort
shortExitNow = shortStopHit or shortTakeHit or reverseToLong
// Register exits and flatten position
if longExitNow and position == 1
longExitSignal := true
position := 0
longEntryPrice := na
longSL := na
longTP := na
if shortExitNow and position == -1
shortExitSignal := true
position := 0
shortEntryPrice := na
shortSL := na
shortTP := na
//──────────────────────────────────────────────────────────────────────────────
// 6. ENTRY LOGIC WITH RISK MODEL (SL/TP CALCULATION)
//──────────────────────────────────────────────────────────────────────────────
//
// Only take a new trade when flat.
// SL/TP are calculated relative to entry price using either ATR or Percent.
//──────────────────────────────────────────────────────────────────────────────
if position == 0
// Long entry
if rawLongSignal
position := 1
longEntryPrice := close
if riskModel == "ATR"
longSL := longEntryPrice - atrValue * atrSLMult
longTP := longEntryPrice + atrValue * atrTPMult
else // Percent model
longSL := longEntryPrice * (1.0 - slPercent / 100.0)
longTP := longEntryPrice * (1.0 + tpPercent / 100.0)
longEntrySignal := true
// Short entry
else if rawShortSignal
position := -1
shortEntryPrice := close
if riskModel == "ATR"
shortSL := shortEntryPrice + atrValue * atrSLMult
shortTP := shortEntryPrice - atrValue * atrTPMult
else // Percent model
shortSL := shortEntryPrice * (1.0 + slPercent / 100.0)
shortTP := shortEntryPrice * (1.0 - tpPercent / 100.0)
shortEntrySignal := true
//──────────────────────────────────────────────────────────────────────────────
// 7. PLOTTING: ENTRIES, EXITS, STOPS & TARGETS
//──────────────────────────────────────────────────────────────────────────────
// Entry markers
plotshape(longEntrySignal, title = "Long Entry", style = shape.triangleup, location = location.belowbar, color = color.new(color.lime, 0), size = size.small, text = "LONG")
plotshape(shortEntrySignal, title = "Short Entry", style = shape.triangledown, location = location.abovebar, color = color.new(color.red, 0), size = size.small, text = "SHORT")
// Exit markers (generic exits: SL, TP or reversal)
plotshape(longExitSignal, title = "Long Exit", style = shape.xcross, location = location.abovebar, color = color.new(color.orange, 0), size = size.tiny, text = "LX")
plotshape(shortExitSignal, title = "Short Exit", style = shape.xcross, location = location.belowbar, color = color.new(color.orange, 0), size = size.tiny, text = "SX")
// Optional: show SL/TP levels on chart while in position
plot(showSLTPLines and position == 1 ? longSL : na, title = "Long Stop Loss", style = plot.style_linebr, color = color.new(color.red, 0), linewidth = 1)
plot(showSLTPLines and position == 1 ? longTP : na, title = "Long Take Profit", style = plot.style_linebr, color = color.new(color.lime, 0), linewidth = 1)
plot(showSLTPLines and position == -1 ? shortSL : na, title = "Short Stop Loss", style = plot.style_linebr, color = color.new(color.red, 0), linewidth = 1)
plot(showSLTPLines and position == -1 ? shortTP : na, title = "Short Take Profit", style = plot.style_linebr, color = color.new(color.lime, 0), linewidth = 1)
//──────────────────────────────────────────────────────────────────────────────
// 8. ALERT CONDITIONS
//──────────────────────────────────────────────────────────────────────────────
//
// Configure TradingView alerts using these conditions.
//──────────────────────────────────────────────────────────────────────────────
// Entry alerts
alertcondition(longEntrySignal, title = "Long Entry (RSI+MACD)", message = "RSI+MACD: Long entry signal")
alertcondition(shortEntrySignal, title = "Short Entry (RSI+MACD)", message = "RSI+MACD: Short entry signal")
// Exit alerts (by type: SL vs TP vs reversal)
alertcondition(longStopHit, title = "Long Stop Loss Hit", message = "RSI+MACD: Long STOP LOSS hit")
alertcondition(longTakeHit, title = "Long Take Profit Hit", message = "RSI+MACD: Long TAKE PROFIT hit")
alertcondition(shortStopHit, title = "Short Stop Loss Hit", message = "RSI+MACD: Short STOP LOSS hit")
alertcondition(shortTakeHit, title = "Short Take Profit Hit", message = "RSI+MACD: Short TAKE PROFIT hit")
alertcondition(reverseToShort, title = "Long Exit by Reverse Signal", message = "RSI+MACD: Long exit by SHORT reverse signal")
alertcondition(reverseToLong, title = "Short Exit by Reverse Signal", message = "RSI+MACD: Short exit by LONG reverse signal")
//──────────────────────────────────────────────────────────────────────────────
// 9. QUICK USAGE NOTES
//──────────────────────────────────────────────────────────────────────────────
//
// - Indicador, não estratégia: ele simula posição, SL/TP e sinais de saída.
// - Para backtest/auto, basta portar a mesma lógica para um script `strategy()`
// usando `strategy.entry` e `strategy.exit`.
// - Em day trade, teste ATR vs Percent e ajuste os multiplicadores ao ativo.
//──────────────────────────────────────────────────────────────────────────────
UM OBV with Signal (EMA/SMA/WMA/NWE)SUMMARY
A visual OBV trend tool that highlights bullish and bearish volume pressure using smart smoothing and intuitive color-coding.
⸻
WHY THIS INDICATOR?
There are only three variables you can adjust on a chart: price, volume, and time. I wanted a good volume indicator.
⸻
DESCRIPTION
This tool extends classic On-Balance Volume with selectable trend smoothing (EMA, SMA, WMA, or NWE) and visual directional coloring on both OBV and the Signal line. Green shows bullish volume flow, red shows bearish volume flow. Optional crossover markers help confirm shifts in buying pressure.
Nadaraya-Watson Regression (NWE) provides a smooth, non-MA alternative for filtering volume trend noise, and optional dual-NWE coloring helps reduce false flips in choppy markets.
⸻
THE CHART
The indicator is added twice at the bottom; once with a 21 EMA and again with a 55 SMA. The chart has text and illustrations to show where the OBV flipped colors. More red equals more selling pressure. More green equals more buying volume or pressure.
⸻
DEFAULTS
• OBV smoothing length = 3
• Signal = 21 EMA
• Crossover bubbles are hidden/off by default
⸻
SUGGESTED USES
• Combine with price structure, momentum, or volatility tools to confirm trend strength.
• Try switching between EMA and NWE on faster intraday charts to see volume trend earlier.
• Use crossover signals as secondary confirmation rather than standalone entries.
• Use this indicator with your other favorite indicators for confirmation.
• Select timeframes suitable to your style of trading.
• I use the 30-minute, 6-hour, and Daily timeframes.
• I question myself if I am buying something with this indicator being red.
• Experiment with various timeframes and settings.
⸻
AUTHOR OBSERVATIONS
OBV often turns before price—especially when volume surges ahead of breakout levels.
NWE tends to smooth choppy OBV much better than traditional moving averages in noisy markets.
Look for Signal color flips at key support/resistance or volatility inflection points.
⸻
ALERTS
Right-click the indicator and choose Add alert… – two presets are available:
• Bullish OBV Turning Up
• Bearish OBV Turning Down
