Support & Resistance Automated📌 Support and Resistance Automated (Pivot-Based)
Support and Resistance Automated is a lightweight and fully automated indicator that plots key support and resistance levels using pivot highs and pivot lows. It helps traders quickly identify important price reaction zones without manual drawing.
This indicator is especially useful for price-action traders, swing traders, and intraday traders who rely on clean charts and objective levels.
🔍 How It Works
Pivot Highs → Resistance Levels
Pivot Lows → Support Levels
Each detected pivot creates a horizontal dotted line that extends forward, allowing you to observe how price reacts over time.
Once a level is formed, it is kept permanently on the chart — no repainting, no disappearing levels.
⚙️ Customizable Settings
You can easily adjust:
Left & Right Pivot Bars – control how strong a pivot must be
Line Extension Length
Line Width
Support & Resistance Colors
Show / Hide Pivot Highs and Pivot Lows independently
This flexibility allows the indicator to adapt to intraday, swing, or higher-timeframe analysis.
✅ Key Features
✔ Fully automatic support & resistance detection
✔ Based on proven pivot-point logic
✔ No repainting
✔ Clean, minimal chart appearance
✔ Unlimited support & resistance levels
✔ Works on all timeframes & instruments
📈 Best Use Cases
Identifying key demand and supply zones
Planning entries, targets, and stop-losses
Confluence with price action, RSI, moving averages
Breakout and rejection-based strategies
อินดิเคเตอร์และกลยุทธ์
RSI Open-Source IndicatorA simple open-source RSI indicator
using default settings.
No signals.
No predictions.
Multiple Daily Breakouts (Close Only)Pine Script strategy builds the high and low of the first four hours of the New York session (9:00 AM–1:00 PM ET), locks that range after the 1:00 PM candle closes, and then trades breakouts based strictly on candle closes (wicks ignored). The strategy allows multiple breakouts per day, entering long when price closes above the NY range and short when it closes below, with configurable position sizing and risk-reward targets; stops can be set at the opposite side of the range or dynamically calculated. It works both for historical backtesting in the Strategy Tester and for live trading/alerts, making it suitable for intraday markets on lower timeframes such as 5- to 15-minute charts.
Update: removed continuous lines between bars
Update: added h/l lines
Update: renamed
Teacher Agent: OBV-ADX+Volume Overlay V6This is an OBV ADX I modified from another user (kocurekc). I removed the histogram and made it an overlay then added volume multiplier to only throw signals when volume is above average.
Elite Elliott Wave - Institutional GradeValidates all array indices before accessing them
Skips patterns that don't have complete data yet
Gracefully handles charts with insufficient pivots
Works from the first bar without errors
NY First 4H Range Breakout Strategy (1PM Close)Strategy builds the high and low of the first four hours of the New York session (9:00 AM–1:00 PM ET), locks that range after the 1:00 PM candle closes, and then trades breakouts based strictly on candle closes (wicks ignored).
The strategy allows multiple breakouts per day, entering long when price closes above the NY range and short when it closes below, with configurable position sizing and risk-reward targets; stops can be set at the opposite side of the range or dynamically calculated.
It works both for historical back testing in the Strategy Tester and for live trading/alerts, making it suitable for intraday markets on lower timeframes such as 5- to 15-minute charts.
Volatility Breakout System [Fixed Risk]
This is a trend-following breakout strategy designed to capture volatility expansion while filtering out low-momentum "chop." It is built on the philosophy that significant price moves are often preceded by a breakout of volatility bands (Keltner Channels) accompanied by Volume and Trend Strength (ADX).
Strategy Logic:
Volatility Breakout: The primary trigger is a candle closing outside the Keltner Channels. This indicates price is moving faster than the average range.
Trend Filter: Trades are only taken in the direction of the 200 EMA.
Momentum Filter (ADX): The ADX filter ensures we only enter when the trend strength is above a specific threshold (Default: 20). This prevents the strategy from buying tops or selling bottoms in ranging markets.
Volume Confirmation: A breakout without volume is often a fake-out. This script requires volume to be higher than the moving average.
Risk Management (Automated):
Stop Loss: Based on ATR (Average True Range) to adapt to current market volatility.
Trailing Stop: Once the trade moves in favor, a trailing stop is activated to lock in profits.
Breakeven: If price moves X% in favor, the Stop Loss is automatically moved to the entry price to protect capital.
Cooldown: Includes a safety mechanism to prevent over-trading immediately after a signal.
Backtesting Notes:
This script is set up with use_bar_magnifier=true. For accurate results, use this on higher timeframes (1H, 4H) or ensure you have a Premium account for intrabar inspection.
Inputs:
You can toggle the "Compounding" feature to test fixed cash vs. % equity growth.
Webhooks are fully configurable for alert automation.
Monthly Weekly Daily ATR Calculation A weekly options trading script showing optimal levels using daily and weekly ATR ranges and stop loss. (Open ± ATR)
papa experiment//@version=6
indicator("Edufx AMD", shorttitle="Edufx AMD", overlay=true)
// ───── Inputs ─────
timezone = input.string("America/New_York", "Timezone")
enableDailyCycles = input.bool(true, "Enable Daily Cycles")
colorAcc = input.color(color.new(color.gray, 80), "Accumulation")
colorManip = input.color(color.new(color.red, 80), "Manipulation")
colorDist = input.color(color.new(color.green, 80), "Distribution")
// ───── Daily Anchor (NY 8PM) ─────
var int dayStart = na
if na(dayStart) or time >= dayStart + 86400000
dayStart := timestamp(timezone, year, month, dayofmonth, 20, 0)
accEnd = dayStart + 9 * 60 * 60 * 1000
manEnd = dayStart + 15 * 60 * 60 * 1000
distEnd = dayStart + 24 * 60 * 60 * 1000
// ───── State ─────
var float accLo = na
var float accHi = na
var float manLo = na
var float manHi = na
var float disLo = na
var float disHi = na
var bool accDone = false
var bool manDone = false
var bool disDone = false
// ───── Daily AMD ─────
if enableDailyCycles
// Accumulation
if time >= dayStart and time < accEnd
accLo := na(accLo) ? low : math.min(accLo, low)
accHi := na(accHi) ? high : math.max(accHi, high)
if time >= accEnd and not accDone and not na(accLo)
box.new(dayStart, accHi, accEnd, accLo,
xloc=xloc.bar_time, bgcolor=colorAcc, border_color=colorAcc)
accDone := true
// Manipulation
if time >= accEnd and time < manEnd
manLo := na(manLo) ? low : math.min(manLo, low)
manHi := na(manHi) ? high : math.max(manHi, high)
if time >= manEnd and not manDone and not na(manLo)
box.new(accEnd, manHi, manEnd, manLo,
xloc=xloc.bar_time, bgcolor=colorManip, border_color=colorManip)
manDone := true
// Distribution
if time >= manEnd and time < distEnd
disLo := na(disLo) ? low : math.min(disLo, low)
disHi := na(disHi) ? high : math.max(disHi, high)
if time >= distEnd and not disDone and not na(disLo)
box.new(manEnd, disHi, distEnd, disLo,
xloc=xloc.bar_time, bgcolor=colorDist, border_color=colorDist)
disDone := true
// Reset
if time >= distEnd
accLo := na
accHi := na
manLo := na
manHi := na
disLo := na
disHi := na
accDone := false
manDone := false
disDone := false
SniperConfimationSignalLiterally the best indicator for sniper trades confirmation ever, use volume footprint to boost your accuracy as well, free btw.
Motif Multi-Method Range/Trend DetectorI have no idea what this does, but it looks fancy... there are a bunch of colors and lines
I.C.C. Trading SystemThe ICC trading strategy, standing for Indication, Correction, Continuation, is a market structure-based method to find trend continuations by identifying initial price moves (Indication), waiting for pullbacks (Correction) at key levels like Support/Resistance, and entering when the trend resumes (Continuation), preventing premature entries and emotional trades by aligning with market dynamics.
15m RVOL + CPR Screener [AA37Amna5633]relvol and cpr table 4h 15mint relvol and cpr table relvol and cpr table relvol and cpr table relvol and cpr table
Smart Money Sector RotationSTOP MISTAKING INFLATION FOR PERFORMANCE.
Your PnL might look green in nominal terms, but are you actually generating wealth, or just floating on a rising tide of liquidity?
The "Smart Money Sector Rotation" indicator is an institutional-grade dashboard designed to answer that single, critical question. It strips away the noise of nominal price action and benchmarks major assets against the "Honest Hurdle"—a dynamic baseline derived from M2 Money Supply, Inflation Breakevens, and Treasury Yields.
If an asset isn't beating the Hurdle, you aren't generating real wealth—you're just keeping pace with debasement.
THE HONEST FRAMEWORK Most screeners rank assets by simple percentage gain. This tool is different. It calculates a "Required Rate of Return" (Min Return) based on live Federal Reserve data (FRED).
1. Quantify the Debasement. We automatically fetch M2 Money Supply Growth and Inflation expectations to set the "floor."
2. Calculate Real Alpha. We measure how far an asset is trading above or below that floor.
3. Classify the Trend. Using RRG-style logic (Relative Rotation Graph), we categorize assets into four actionable phases based on their Real Yield and Momentum.
THE 4 MARKET PHASES Instead of vague signals, get a clear read on the asset's lifecycle:
ZONE 1: ELITE / LEADING (Cyan/Green) -- The State: Expansion. -- The Logic: The asset is generating positive Real Yields (beating the money printer) and has strong momentum relative to its peers.
ZONE 2: IMPROVING (Gold) -- The State: Recovery. -- The Logic: The asset may be below the Hurdle, but momentum is shifting positively. It is "waking up."
ZONE 3: LAGGING / WEAKENING (Orange/Red) -- The State: Contraction. -- The Logic: The asset is failing to keep up with debasement or is actively losing relative strength.
KEY FEATURES -- Auto-Macro Data: Connects directly to FRED for M2 (WM2NS), 10Y Inflation (T10YIE), and Yields (DGS10). No manual entry required. -- Trend Visualization: Tickers are marked with Green/Red indicators based on their 200-day Moving Average status. -- Prestige Color System: A dark-mode optimized, high-contrast palette designed for professional clarity. -- Multi-Asset Universe: Tracks Equities (XLK, XLE, etc.), Commodities (Gold, Silver, Oil), and Rates (TLT, HYG) in a single view.
HOW TO USE
1. Check the Header: Look at the "Min Ret" (Minimum Return). This is your beat-to-profit line.
2. Scan the Status: Focus on assets in the Elite or Leading zones for trend continuation. Watch Improving assets for potential reversals.
3. Respect the Trend: Use the SMA200 indicator as a final filter. A "Leading" status with a Red trend mark may indicate a trend that is rolling over.
DISCLAIMER This tool is for informational and educational purposes only. It visualizes macroeconomic data and does not constitute financial advice or a recommendation to buy/sell.
FractalMod for TV with breakout alertsFractalsMod (MT4 → Pine) is a TradingView indicator converted from a custom MT4 (MQL4) fractal indicator.
This script replicates the behavior of the original MT4 version as closely as possible, including:
Confirmation-based fractals using left/right bar logic
Persistent horizontal levels derived from confirmed fractals
MT4-style “buffer-like” behavior using segmented horizontal lines
Key Features
MT4-compatible fractal logic
Uses leftbars and rightbars to confirm fractal highs/lows, equivalent to MT4 custom fractal indicators.
Segmented horizontal lines (MT4 buffer style)
Each confirmed fractal starts a new horizontal line segment from the original pivot bar.
When a new fractal is confirmed, the previous segment is stopped at the new pivot point, closely mimicking MT4 indicator buffers.
Latest fractal tracking
The most recently confirmed Up/Down fractal levels are tracked internally and used for breakout detection.
Breakout alerts (not confirmation alerts)
Alerts are triggered when the current price breaks above the latest Up fractal or below the latest Down fractal.
Breakout detection can be configured to use:
Close price only (confirmation-based), or
High/Low including wicks.
Clean visual control
Single arrow per confirmed fractal (no duplicate markers)
Optional display of fractal markers and horizontal lines
Custom colors and line width for Up/Down fractals
Typical Use Cases
Fractal-based support / resistance visualization
Breakout trading using the most recent confirmed fractal levels
MT4 → TradingView workflow migration while preserving indicator behavior
This script is designed for traders familiar with MT4 fractal indicators who want a faithful and practical TradingView equivalent without repainting on confirmed signals.
FractalsMod (MT4 → Pine) は、
MT4（MQL4）で使用されていた カスタム Fractal インジケーターを TradingView（Pine Script）へ移植したものです。
元の MT4 インジケーターの挙動を可能な限り忠実に再現することを目的としており、以下の特徴を持ちます。
主な特徴
MT4互換のフラクタル判定ロジック
leftbars / rightbars を用いたフラクタル確定方式で、
MT4 のカスタム Fractal インジケーターと同等の確定条件を再現しています。
MT4のバッファ挙動を再現した水平ライン
フラクタルが確定すると、その ピボット位置から水平ラインを開始します。
新しいフラクタルが確定した場合、それまでのラインは新しいピボット位置で停止し、
区間ごとのライン構造で MT4 のバッファ表示に近い見た目を実現しています。
最新フラクタル価格の内部保持
直近で確定した Up / Down フラクタル価格を保持し、
ブレイク判定やアラートに利用します。
ブレイク専用アラート（確定時アラートなし）
フラクタル確定時ではなく、
価格が最新の Up フラクタルを上抜けたとき
価格が最新の Down フラクタルを下抜けたとき
にアラートを出す設計です。
ブレイク判定は
終値ベース（ダマシを減らす）
ヒゲ込み（高値 / 安値）
を設定で切り替えられます。
視認性と制御性を重視した設計
フラクタル矢印は 確定時に1本のみ表示（重複なし）
Up / Down で色分けされたラインと矢印
ライン表示・矢印表示の ON / OFF 切り替え可能
想定される用途
フラクタルを用いた サポート / レジスタンスの可視化
直近フラクタルを基準とした ブレイクアウト戦略
MT4 から TradingView への移行時に、
ロジックと見た目をできるだけ変えずに使いたい場合
本スクリプトは、
MT4のフラクタル系インジケーターに慣れたトレーダーが、
TradingViewでも違和感なく使えることを重視して設計されています。
6pm ATR% Bands + Outside SD BandsATR Bands that are adjustable with STD ATR
Up to 3 bands, and 3 standard deviations, also can change the ATR range
Trinity 5-8-13 EMA RibbonThis is a simple little script that is based on the 5-8-13 scalping or day trading strategy, the ribbon color will flip based on the candle to EMA direction. Use this in conjunction with a higher time frame EMA as well as something like a 200 EMA or VWAP for trend direction. The indicator will give you the current candle bias.
Quantum MACD📈 STRENGTHS:
1. Adaptability to Any Asset
Automatically adjusts overbought/oversold levels according to each asset's volatility
No manual level adjustment needed for different instruments
2. 4 Intelligent Zone Calculation Methods
Percentiles: Considers historical distribution of MACD values
Standard Deviation: Statistically justified levels
ATR: Accounts for market volatility
Bollinger Bands: Classic proven method
3. Enhanced Visualization
Gradient zone fill (intensity depends on distance to level)
Four histogram colors like in standard MACD
Clear solid divergence lines with markers
Information panel with key data
4. Multiple Signals and Alerts
Divergences (bullish/bearish)
Entry/exit from overbought/oversold zones
MACD and signal line crossovers
Strong signals (when approaching extreme levels)
5. Flexible Configuration
Ability to enable/disable any elements
Period adjustment for different methods
Color scheme selection
Sensitivity adjustment via multipliers
6. Professional Functions
Table with extended information
Signal strength calculation
Distance to level indicators
Display of historical MACD minimums/maximums
📉 WEAKNESSES:
1. High Complexity for Beginners
Many settings can confuse novice traders
Difficulty choosing optimal zone calculation method
Requires time to learn all functions
2. Possible Chart Overload
Multiple lines and fills can clutter the chart
Lines may overlap with many divergences
Information panel occupies screen space
3. Calculation Delays
Use of large periods (up to 500 bars) for calculations
Some methods (percentiles) require data accumulation
Possible lags on lower timeframes
4. Risk of Over-Optimization
Too fine-tuning for specific assets
Possibility of fitting parameters to historical data
Need to review parameters when trends change
5. Dependence on Chosen Method
Different methods can give contradictory signals
No single "perfect" method for all situations
Requires testing each method on specific assets
6. Pine Script Limitations
Inability to implement exact percentiles without arrays
Performance limitations with complex calculations
Some visual effects cannot be implemented perfectly
7. False Signals
In strong trends, indicator may remain in overbought/oversold zones for long periods
Divergences sometimes form late
Frequent line crossovers in sideways markets
⚖️ BALANCE OF STRENGTHS AND WEAKNESSES:
Who It's Suitable For:
✅ Experienced traders who need advanced analysis tools
✅ Analysts studying indicator behavior on different assets
✅ Swing traders working on medium timeframes
✅ Those trading multiple assets who need automatic adaptation
Who It's Not Suitable For:
❌ Beginners just starting with technical analysis
❌ Scalpers who need minimal delay
❌ Traders preferring minimalistic indicators
❌ Those wanting a "magic button" without configuration
💡 USAGE RECOMMENDATIONS:
Start Simple: Use only one zone calculation method (e.g., "Standard Deviation")
Test: Check each method on your asset's historical data
Simplify: Disable unnecessary visual elements for cleaner charts
Combine: Use this indicator with others (trend, volume-based)
Observe: Monitor indicator behavior in different market conditions (trend, range)
🎯 CONCLUSION:
Quantum MACD is a powerful professional tool for traders willing to invest time in learning and configuring it. It solves the key problem of standard MACD - static overbought/oversold levels.
Main Advantage: adaptation to any asset without manual adjustment.
Main Disadvantage: complexity for beginners and risk of chart overload.
The indicator performs best on daily and weekly timeframes when trading stocks, cryptocurrencies, and currency pairs with good liquidity.
Smooth Fear/Greed Waves (Cipher-style)The indicator is a Oscilator that helps to check when to buy or sell and asset based on the Fear and Greed index and also based on the oversold or overbought Threshold.
N PatternEnglish:
-N Pattern is a trend-following indicator that combines VIDYA (Variable Index Dynamic Average) with ATR bands to identify market direction, enhanced by pivot-based liquidity zones and dynamic N-shaped candlestick patterns.
-The indicator detects specific multi-leg price formations where the market trends, retraces, and resumes direction, all filtered by EMA 750 for higher timeframe confluence.
-It includes stochastic-based candle coloring, volume delta analysis, and visual alerts for pattern completion, making it ideal for identifying high-probability trend continuation setups.
-N Pattern è un indicatore trend-following che combina VIDYA (Variable Index Dynamic Average) con bande ATR per identificare la direzione del mercato, arricchito da zone di liquidità basate su pivot e pattern dinamici a forma di N.
-L'indicatore rileva specifiche formazioni di prezzo multi-leg dove il mercato fa trend, ritraccia e riprende la direzione, il tutto filtrato dall'EMA 750 per confluenza su timeframe superiori.
-Include colorazione delle candele basata sullo stocastico, analisi del delta volume e alert visivi al completamento dei pattern, rendendolo ideale per identificare setup ad alta probabilità di continuazione del trend.
Magno Virtual Football Market CompletVirtual Football Market Logic – SR + VFI + Probability
A statistical + structural indicator for the Bet365 Virtual Football market, combining:
VFI (Fair Value + Standard Deviation Bands) to detect excess/scarcity zones (overbought/oversold)
Momentum (Fast vs Slow SMA) to confirm acceleration or weakness
Automatic Pivot S/R (Support/Resistance) to map key price levels
The script calculates and displays a dynamic OVER vs UNDER probability (0–100%), based on:
Fair Value distance,
deviation band expansion,
momentum direction,
proximity to resistance/support.
Includes a real-time probability label and visual triggers when OVER/UNDER ≥ 75%.
Linear Regression Channel with Multi Sigma and Multi Time FrameThis indicator applies multi-sigma linear regression across multiple institutional time horizons to quantify the line of best fit in equities and index markets. By combining multi-timeframe presets with statistically derived deviation bands, it highlights trend structure, volatility expansion, and regime transitions with clarity.
Features
Auto-Multi-Timeframe presets map directly to institutional trend horizons (daily, weekly, monthly) for accurate regime detection.
Multi-Sigma bands (+/-1, +/-2, +/-3) reveal volatility structure, trend strength, and statistical extremes.
The regression line uses a true least-squares calculation, recalculated each bar for precise trend alignment.
Deviation mode allows switching between standard deviation and max deviation to support different volatility models.
A linked PDF on GitHub provides full documentation, derivations, and institutional use-case examples.
More Information Can Be Found Here:
github.com
