MACD Zero-Line Strategy (Long Only)Strategy to Open order when Mac-D Signal Cross up 0, Sell when it cross down 0
Indicators and strategies
Regular Volume Indicator with 30-Day Average PointsRegular Volume Indicator with past 30-days average lines.
If the day's trading volume is more than that, it will have a dot pop out.
ASFX - Automatic VWAPs & Key LevelsAutomate your AVWAPs and key levels for day trading! NY Market open VWAP, Previous day NY VWAP, and more are included. Inital Balance and Opening Range are also automated.
Advanced Bollinger Bands Optimized - Precision SignalsThis indicator creates an advanced Bollinger Bands system with integrated ATR bands and intelligent trading signals. It features:
**Core Components:**
- Standard Bollinger Bands (20-period SMA with 1.382 standard deviations)
- ATR-based outer bands expanding on the Bollinger Bands
- Dynamic bandwidth analysis using Z-Score to measure current volatility relative to historical levels
**Market State Detection:**
Identifies five market conditions based on bandwidth Z-Score:
- Extreme Squeeze (ultra-low volatility)
- Squeeze (low volatility)
- Normal (average volatility)
- Expansion (high volatility)
- Extreme Expansion (ultra-high volatility)
**Signal System:**
Generates 5 bullish and 5 bearish signals:
*Bullish Signals:*
1. Bottom Divergence - Price makes new lows while Z-Score is relatively high
2. Width Reversal - Bandwidth rebounds from extreme squeeze
3. Extreme Squeeze Reversal - Recovery from extreme volatility compression
4. Squeeze Breakout Up - Price breaks above upper band during squeeze
5. State Transition - Market transitions from squeeze to expansion
*Bearish Signals:*
1. Top Divergence - Price makes new highs while Z-Score is relatively low
2. Width Reversal - Bandwidth declines from extreme expansion
3. Extreme Expansion Reversal - Contraction from extreme volatility expansion
4. Squeeze Breakout Down - Price breaks below lower band during squeeze
5. State Transition - Market transitions from expansion to squeeze
**Features:**
- Real-time signal table showing active signals
- Adjustable sensitivity parameters for divergence, reversal, and breakout signals
- Signal cooldown system to prevent duplicate alerts
- Clean visual display with band fills and alert markers
- No additional external indicators required
This tool helps traders identify volatility changes, trend reversals, and breakout opportunities using only price data and bandwidth analysis.
Katik EMA BUY SELLThis strategy uses EMA 9, EMA 20, and EMA 200 to generate Buy and Sell signals.
BUY Conditions
EMA 9 crosses above EMA 20
Stoploss: Recent Swing Low
Target: EMA 9 touches or crosses EMA 200
SELL Conditions
EMA 9 crosses below EMA 20
Stoploss: Recent Swing High
Target: EMA 9 touches or crosses EMA 200
Features
Automatic Long & Short entries
Dynamic swing-based stoploss
Clear EMA plots with line width 3
Works on all timeframes
Short Squeeze Screener _ SYLGUYO//@version=5
indicator("Short Squeeze Screener — Lookup Table", overlay=false)
// ===========================
// TABLEAU INTERNE DES DONNÉES
// ===========================
// Exemple : remplace par tes données réelles
var string tickers = array.from("MARA", "BBBYQ", "GME")
var float short_float_data = array.from(28.5, 47.0, 22.3)
var float dtc_data = array.from(2.3, 15.2, 5.4)
var float oi_growth_data = array.from(12.0, 22.0, 4.0)
var float pcr_data = array.from(0.75, 0.45, 1.1)
// ===========================
// CHARGEMENT DU TICKER COURANT
// ===========================
string t = syminfo.ticker
var float short_f = na
var float dtc = na
var float oi = na
var float pcr = na
// Trouve le ticker dans la base
for i = 0 to array.size(tickers) - 1
if array.get(tickers, i) == t
short_f := array.get(short_float_data, i)
dtc := array.get(dtc_data, i)
oi := array.get(oi_growth_data, i)
pcr := array.get(pcr_data, i)
// ===========================
// SCORE SHORT SQUEEZE
// ===========================
score = 0
score += (short_f >= 30) ? 1 : 0
score += (dtc >= 7) ? 1 : 0
score += (oi >= 10) ? 1 : 0
score += (pcr <= 1) ? 1 : 0
plot(score, "Short Squeeze Score", linewidth=2)
P_Multi-ORB & Session Breakers// WHAT THIS SCRIPT DOES:
// 1. Opening Range Breakout (ORB):
// - Calculates High/Low of the first 5 mins (9:30-9:35 AM EST).
// - Calculates High/Low of the first 60 mins (9:30-10:30 AM EST).
// - Draws infinite lines for breakout levels.
//
// 2. Session Liquidity Breakers:
// - Tracks High/Low of ASIA & LONDON sessions.
// - Alerts and labels when subsequent sessions break these levels.
//
// HOW TO USE:
// - Optimized for 5m or 15m charts on NQ/ES.
// - This version is colored for WHITE/LIGHT background charts.
Mirpapa_Lib_LineLibrary "Mirpapa_Lib_Line"
CreateLine(_breachMode, _isBull, _leftTime, _rightTime, _price, _lineColor, _lineWidth, _lineStyle, _text)
CreateLine
@description 라인 생성 (값 전달 방식 - 모든 좌표 직접 지정).\
호출자가 모든 좌표와 시간을 계산하여 전달.\
breachMode: "price"(고가/저가 돌파) 또는 "close"(종가 돌파).\
Parameters:
_breachMode (string) : 돌파 처리 방식: "price" 또는 "close"
_isBull (bool) : 상승(true) 또는 하락(false)
_leftTime (int) : 라인 시작 시간
_rightTime (int) : 라인 종료 시간
_price (float) : 라인 가격
_lineColor (color) : 라인 색상
_lineWidth (int) : 라인 두께
_lineStyle (string) : 라인 스타일 (line.style_solid, line.style_dashed 등)
_text (string) : 라인 텍스트
Returns: 성공 여부와 라인 데이터
ProcessLineDatas(_openLines, _closedLines, _closeCount, _colorClose, _currentBarIndex, _currentLow, _currentHigh, _currentTime)
ProcessLineDatas
@description 라인 확장 및 돌파 처리.\
열린 라인들을 현재 bar까지 확장하고, 돌파 조건 체크.\
_closeCount: 돌파 횟수 (이 횟수만큼 돌파 시 라인 종료).\
breachMode에 따라 돌파 체크 방식 다름 (price/close).\
종료된 라인은 _closedLines로 이동하고 _colorClose 색상 적용.\
barstate.islast와 barstate.isconfirmed에서 호출 권장.
Parameters:
_openLines (array) : 열린 라인 배열
_closedLines (array) : 닫힌 라인 배열
_closeCount (int) : 돌파 카운트 (이 횟수만큼 돌파 시 종료)
_colorClose (color) : 종료된 라인 색상
_currentBarIndex (int) : 현재 bar_index
_currentLow (float) : 현재 low
_currentHigh (float) : 현재 high
_currentTime (int) : 현재 time
Returns: bool 항상 true
BreachMode
BreachMode
Fields:
PRICE (series string)
CLOSE (series string)
LineData
LineData
Fields:
_breachMode (series string) : 돌파 처리 방식
_isBull (series bool) : 상승(true) 또는 하락(false) 방향
_line (series line) : 라인 객체
_price (series float) : 라인 가격
_text (series string) : 라인 텍스트
_breached (series bool) : 돌파 여부
_breakCount (series int) : 돌파 카운트
M20M60_win10_libLibrary "M20M60_win10_lib"
f_m20m60_win10_features(srcOpen, srcHigh, srcLow, srcClose, bandCenter, bandWidth)
Parameters:
srcOpen (float)
srcHigh (float)
srcLow (float)
srcClose (float)
bandCenter (float)
bandWidth (float)
f_m20m60_win10_is_cluster5(bodyMean, rangeMean, cBandDiff, insideRatio, maxAbove)
Parameters:
bodyMean (float)
rangeMean (float)
cBandDiff (float)
insideRatio (float)
maxAbove (float)
f_m20m60_win10_is_cluster1(bodyMean, rangeMean, cBandDiff, insideRatio, maxAbove)
Parameters:
bodyMean (float)
rangeMean (float)
cBandDiff (float)
insideRatio (float)
maxAbove (float)
Value Charts by Mark Helweg1. Introduction
This script is a simplified implementation of the Value Charts concept introduced by Mark Helweg and David Stendahl in their work on “Dynamic Trading Indicators”. It converts raw price into value units by normalizing distance from a dynamic fair‑value line, making it easier to see when price is relatively overvalued or undervalued across different markets and timeframes. The code focuses on plotting Value Chart candlesticks and clean visual bands, keeping the logic close to the original idea while remaining lightweight for intraday and swing trading.
2. Key Features
- Dynamic fair‑value axis
Uses a moving average of the chosen price source as the fair‑value line and a volatility‑based deviation (smoothed True Range) to scale all price moves into comparable value units.
- Normalized Value Chart candlesticks
OHLC prices are transformed into value units and displayed as a dedicated candlestick panel, visually similar to standard candles but detached from raw price, highlighting relative extremes instead of absolute levels.
- Custom upper and lower visual limits
User‑defined upper and lower bands frame the majority of action and emphasize extreme value zones, helping the trader spot potential exhaustion or mean‑reversion conditions at a glance.
- Clean, publishing‑friendly layout
Only the normalized candles and three simple reference lines (top, bottom, zero) are plotted, keeping the chart uncluttered and compliant with presentation standards for published scripts.
3. How to Use
1. Attach the indicator to a separate pane (overlay = false) on any market and timeframe you trade.
2. Set the “Period (Value Chart)” to control how fast the fair‑value line adapts: shorter values react more quickly, longer values smooth more.
3. Adjust the “Volatility Factor” so that most candles stay between the upper and lower limits, with only true extremes touching or exceeding them.
4. Use the Value Chart candlesticks as a relative overbought/oversold tool:
- Candles pressing into the Top band suggest overvalued conditions and potential for pullbacks or reversions.
- Candles pressing into the Bottom band suggest undervalued conditions and potential for bounces.
5. Combine the signals with your existing price‑action, volume, or trend‑filter rules on the main chart; the Value Chart panel is designed as a context and timing tool, not a standalone trading system.
Equal Highs & Lows Strategy // ------------------------------------------------------------------------------
// 🧠 THE MARKET PSYCHOLOGY (WHY THIS WORKS):
// ------------------------------------------------------------------------------
// 1. THE MAGNET THEORY:
// "Equal Highs" (EQH) and "Equal Lows" (EQL) are not random. They represent
// Retail Support and Resistance. Retail traders are taught to put Stop Losses
// just above Double Tops or just below Double Bottoms.
// - Therefore, these lines represent massive pools of LIQUIDITY (Money).
// - Price is often engineered to move toward these lines to "unlock" that money.
//
// 2. THE INSTITUTIONAL TRAP (STOP HUNTS):
// Institutions need liquidity to fill large orders without slippage.
// - To Buy massive amounts, they need many Sellers -> They push price BELOW EQL
// to trigger retail Sell Stops.
// - To Sell massive amounts, they need many Buyers -> They push price ABOVE EQH
// to trigger retail Buy Stops.
//
// 3. THE STRATEGY (TURTLE SOUP):
// We do not trade the initial touch. We wait for the "Sweep & Reclaim".
// - Bullish Signal (GRAB ⬆): Price drops below the Green Line (EQL), grabs the
// stops, but buyers step in and force the candle to CLOSE back above the line.
// - Bearish Signal (GRAB ⬇): Price spikes above the Red Line (EQH), grabs the
// stops, but sellers step in and force the candle to CLOSE back below the line.
// ------------------------------------------------------------------------------
Combined: Net Volume, RSI & ATR# Combined: Net Volume, RSI & ATR Indicator
## Overview
This custom TradingView indicator overlays **Net Volume** and **RSI (Relative Strength Index)** on the same chart panel, with RSI scaled to match the visual range of volume spikes. It also displays **ATR (Average True Range)** values in a table.
## Key Features
### Net Volume
- Calculates buying vs selling pressure by analyzing lower timeframe data
- Displays as a **yellow line** centered around zero
- Automatically selects optimal timeframe or allows manual override
- Shows net buying pressure (positive values) and selling pressure (negative values)
### RSI (Relative Strength Index)
- Traditional 14-period RSI displayed as a **blue line**
- **Overlays directly on the volume chart** - scaled to match volume spike heights
- Includes **70/30 overbought/oversold levels** (shown as dotted red/green lines)
- Adjustable scale factor to fine-tune visual sizing relative to volume
- Optional **smoothing** with multiple moving average types (SMA, EMA, RMA, WMA, VWMA)
- Optional **Bollinger Bands** around RSI smoothing line
- **Divergence detection** - identifies regular bullish/bearish divergences with labels
### ATR (Average True Range)
- Displays current ATR value in a **table at top-right corner**
- Configurable period length (default: 50)
- Multiple smoothing methods: RMA, SMA, EMA, or WMA
- Helps assess current market volatility
## Use Cases
- **Momentum & Volume Confirmation**: See if RSI trends align with net volume flows
- **Divergence Trading**: Automatically spots when price makes new highs/lows but RSI doesn't
- **Volatility Assessment**: Monitor ATR for position sizing and stop-loss placement
- **Overbought/Oversold + Volume**: Identify exhaustion when RSI hits extremes with volume spikes
## Customization
All components can be toggled on/off independently. RSI scale factor allows you to adjust how prominent the RSI line appears relative to volume bars.
Support & Resistance Auto-Detector by Rakesh Sharma📊 SUPPORT & RESISTANCE AUTO-DETECTOR
Automatically identifies and displays key price levels where traders make decisions. No more manual drawing - let the algorithm do the work!
✨ KEY FEATURES:
- Auto-detects Swing High/Low levels with strength rating
- Previous Day High/Low (PDH/PDL) - Most important intraday levels
- Previous Week High/Low (PWH/PWL) - Strong swing levels
- Previous Month High/Low (PMH/PML) - Major turning points
- Round Number levels (Psychological barriers)
- S/R Zones (Better than exact lines)
- Breakout/Breakdown alerts
- Live Dashboard with trade bias
🎯 PERFECT FOR:
Nifty, Bank Nifty, Stocks, Forex, Crypto - All markets, all timeframes
⚡ SMART FEATURES:
- Strength Rating: Very Strong/Strong/Medium/Weak
- Distance Calculator: Shows points to next S/R
- Trade Bias: "Buy Dips" / "Sell Rallies" / "Breakout"
- Break Alerts: Get notified on PDH/PDL breaks
- Clean Chart: Shows only most important levels
💡 TRADING EDGE:
Trade bounces at support, rejections at resistance, or breakouts through key levels. Combines perfectly with price action and other indicators.
Created by: Rakesh Sharma
4 EMA Cross Indicator - @orelkakoonA clean, simple EMA crossover indicator built for clarity and momentum.
This indicator uses 4 EMAs (8, 21, 50, 63) to help visualize short-term momentum within the broader trend.
It highlights bullish crossovers when EMA 8 crosses above EMA 21, and bearish crossovers when EMA 8 crosses below EMA 21, making trend shifts easy to spot at a glance.
Designed for traders who want clear signals, less noise, and better timing within an existing trend.
IDX Sector Monitor - RRG
// ═══════════════════════════════════════════════════════════════════════════════
// IDX SECTOR MONITOR - RRG EDITION
// ═══════════════════════════════════════════════════════════════════════════════
// Track Indonesian stock sectors with Relative Rotation Graph (RRG) analysis.
//
// Features:
// • Custom sector indices (equal-weighted)
// • Multi-timeframe performance (1D, 1W, 1M, etc.)
// • RRG status vs IHSG/LQ45 benchmark
//
// RRG Quadrants:
// 💚 Leading - Outperforming, strong momentum (BUY zone)
// 💛 Weakening - Still strong but slowing down (TAKE PROFIT)
// 💙 Improving - Weak but gaining momentum (WATCHLIST)
// ❤️ Lagging - Underperforming, avoid (SELL zone)
//
// ═══════════════════════════════════════════════════════════════════════════════
MSTR mNAV indicatorTrack and compute MicroStrategy's mNAV (EV divided by BTC reserve value) over time.
- compute method: www.strategy.com
- data source: www.strategy.com
Institutional Trend & Liquidity Nexus [Pro]Concept & Methodology
The core philosophy of this script is "Confluence Filtering." It does not simply overlay indicators; it forces them to work together. A signal is only valid if it aligns with the macro trend and liquidity structure.
Key Components:
Trend Engine: Uses a combination of EMA (7/21) for fast entries and SMA (200) for macro trend direction. The script includes a logical filter that invalidates Buy signals below the SMA 200 to prevent counter-trend trading.
Liquidity Imbalance (FVG): Automatically detects Fair Value Gaps to identify areas where price is likely to react. Unlike standalone FVG scripts, this module is visually optimized to show support/resistance zones without obscuring price action.
Smart Confluence Zones (Originality):
The script calculates a background "State" based on multiple factors.
Bullish Zone (Green Background): Triggers ONLY when Price > SMA 200 AND RSI > 50 AND Price > Baseline EMA.
Bearish Zone (Red Background): Triggers ONLY when Price < SMA 200 AND RSI < 50 AND Price < Baseline EMA.
This visual aid helps traders stay out of choppy markets and only focus when momentum and trend are aligned.
█ How to Use
Entry: Wait for a "Triangle" signal (Buy/Sell).
Validation: Check the Background Color. Is it highlighting a Confluence Zone?
Example: A Buy Signal inside a Green Confluence Zone is a high-probability setup.
Example: A Buy Signal with no background color suggests weak momentum and should be taken with caution.
Targets: Use the plotted FVG boxes as potential take-profit targets or re-entry zones.
BTC vs Russell2000Description
The BTC vs Russell2000 – Weekly Cycle Map compares Bitcoin’s performance against the Russell 2000 (IWM) to identify long-term risk-on and risk-off market regimes.
The indicator calculates the BTC/RUT ratio on a weekly timeframe and applies a moving average filter to highlight macro momentum shifts.
White line: BTC/RUT ratio (Bitcoin relative strength vs small-cap equities)
Yellow line: Weekly SMA of the ratio (trend filter)
Green background: BTC outperforming → macro bull regime
Red background: Russell 2000 outperforming → macro bear regime
Halving markers: Visual reference points for Bitcoin market cycles
This tool is designed to help traders understand capital rotation between crypto and traditional markets, improve timing of macro entries, and visualize where Bitcoin stands within its broader cycle.
Manual Zones SafeUse cases:
Support and resistance levels
Supply and demand zones
Price action areas for manual trading strategies
Crypto Market Pulse: Dom vs Vol AnalyzerConcept & Methodology
The core logic of this indicator is based on the "Money Flow" theory. It aggregates data from multiple sources (CRYPTOCAP:TOTAL, BTC.D, BINANCE:BTCUSDT) to provide a comprehensive market overview in a single panel.
Key Calculations:
Total Market Cap & Volume: Fetches real-time data to determine the overall health of the market.
Inverse Dominance Logic: Unlike standard indicators, this script applies inverse color coding to Bitcoin Dominance (BTC.D).
When BTC Dominance drops, it is colored Green (indicating liquidity flowing into Altcoins).
When BTC Dominance rises, it is colored Red (indicating risk for Altcoins).
Volume Delta: Compares the current timeframe's volume against the previous candle to calculate the percentage change, highlighting sudden liquidity injections.
█ Features
Real-time Dashboard: Displays Cap, Volume, BTC Price, and BTC Dominance.
Altcoin-Focus Coloring: Automatically interprets data to favor Altcoin traders (Green Signals = Good for Alts).
Dynamic Alerts:
Volume Surge Alert: Triggers when volume exceeds a user-defined threshold (default +50%), signaling potential breakout activity.
Dominance Drop Alert: Triggers when BTC Dominance falls significantly, signaling the start of potential Altcoin movement.
█ How to Use
Look for Confluence: The ideal "Altseason" signal is when the Total Cap is Green (Market up) AND BTC Dominance is Green (Dominance down). This indicates money is moving from BTC to Alts.
Volume Confirmation: Use the Volume row to confirm the strength of the move. A price rise without volume is often a fakeout.
Customization: You can adjust the table position and text size from the settings menu to fit your screen setup.
HTF Frequency Zone [BigBeluga]🔵 OVERVIEW
HTF Frequency Zone highlights the dominant price level (Point of Control) and the full high–low expansion of any higher timeframe — Daily, Weekly, or Monthly. It captures the frequency of closes inside each HTF candle and plots the most traded “frequency zone”, allowing traders to easily see where price spent the most time and where buy/sell pressure accumulated.
This tool transforms each higher-timeframe bar into a fully visualized structure:
• Top = HTF high
• Bottom = HTF low
• Midline = HTF Frequency POC
• Color-coded zones = bullish or bearish bias
• Labels = counts of bullish and bearish candles inside the HTF range
It is designed to give traders an immediate understanding of high-timeframe balance, imbalance, and price attraction zones.
🔵 CONCEPTS
HTF Partitioning — Each Weekly/Daily/Monthly candle is converted into a dedicated zone with its own High, Low, and Frequency Point of Control.
Frequency POC (Most Touched Price) — The indicator divides the HTF range into 100 bins and counts how many times price closed near each level.
Dominant Zone — The level with the highest frequency becomes the HTF “Value Zone,” plotted as a bold central line.
Directional Bias —
• Bullish HTF zone
• Bearish HTF zone
Internal Candle Counting — Within each HTF period the indicator counts:
• Buy candles (close > open)
• Sell candles (close < open)
This reveals whether intraperiod flow was bullish or bearish.
HTF Structure Blocks — High, Low, and POC are connected across the entire higher-timeframe duration, showing the real shape of HTF balance.
🔵 FEATURES
Automatic HTF Zone Construction — Generates a complete price zone every time the selected timeframe flips (Daily / Weekly / Monthly).
Dynamic High & Low Extraction — The indicator scans every bar inside the HTF window to find true extremes of the range.
100-Level Frequency Scan — Each close within the period is assigned to a bin, creating a detailed distribution of price interaction.
HTF POC Highlighting — The most frequent price level is plotted with a bold red line for immediate visual clarity.
Bull/Bear Coloring —
• Green → Bullish HTF zone.
• Orange → Bearish HTF zone.
Zone Shading — High–Low range is filled with a semi-transparent color matching trend direction.
Buy/Sell Candle Counters — Printed at the top and bottom of each HTF block, showing how many internal candles were bullish or bearish.
POC Label — Displays frequency count (how many touches) at the POC level.
Adaptive Threshold Warning — If bars inside the HTF window are too few (<10), the indicator warns the trader to switch timeframe.
🔵 HOW TO USE
Higher-Timeframe Biasing — Read the zone color to determine if the HTF candle leaned bullish or bearish.
Value Zone Reactions — Price often reacts to the Frequency POC; use it as support/resistance or liquidity magnet.
Range Context — Identify when price is trading near HTF highs (breakout potential) or lows (reversal potential).
Momentum Evaluation — More bullish internal candles = internal buying pressure; more bearish = internal selling pressure.
Swing Trading — Use HTF zones as the “macro map,” then execute trades on lower timeframes aligned with the zone structure.
Liquidity Awareness — The HTF POC often aligns with algorithmic liquidity levels, making it a strong reaction point.
🔵 CONCLUSION
HTF Frequency Zone transforms raw higher-timeframe candles into detailed distribution zones that reveal true market behavior inside the HTF structure. By showing highs, lows, buying/selling activity, and the most interacted price level (Frequency POC), this tool becomes invaluable for traders who want to align executions with powerful HTF levels, liquidity magnets, and structural zones.
