RSI - S&P Sector ETFsThe script displays RSI of each S&P SPDR Sector ETF
XLB - Materials
XLC - Communications
XLE - Energy
XLF - Financials
XLI - Industrials
XLK - Technology
XLP - Consumer Staples
XLRE - Real Estate
XLU - Utilities
XLV - Healthcare
XLY - Consumer Discretionary
It is meant to identify changes in sector rotation, compare oversold/overbought signals of each sector, and/or any price momentum trading strategy applicable to a trader.
"etf开盘时间"に関するスクリプトを検索
InfoPanel - SeasonalityThis panel will show which is the best month to buy a stock, index or ETF or even a cryptocurrency in the past 5 years.
Script to use only with MONTHLY timeframe.
Thanks to: RicardoSantos for his hard work.
Please use comment section for any feedback.
Daily Oversold Swing ScreenerThat script is a **Pine Script Indicator** designed to identify potential **swing trade entry points** on a daily timeframe by looking for stocks that are **oversold** but still in a **healthy long-term uptrend**.
It screens for a high-probability reversal setup by combining four specific technical conditions.
Here is a detailed breakdown of the script's purpose and logic:
---
## 📝 Script Description: Daily Oversold Swing Screener
This Pine Script indicator serves as a **momentum and trend confirmation tool** for active traders seeking short-to-intermediate-term long entries. It uses data calculated on the **Daily** timeframe to generate signals, regardless of the chart resolution you are currently viewing.
The indicator is designed to filter out stocks that are in a strong downtrend ("falling knives") and only signal pullbacks within an established uptrend, which significantly increases the probability of a successful swing trade bounce.
### 🔑 Key Conditions for a Signal:
The indicator generates a buy signal when **all four** of the following conditions are met on the Daily timeframe:
#### 1. Oversold Momentum
* **Condition:** `rsiD < rsiOS` (Daily RSI is below the oversold level, typically **30**).
* **Purpose:** Confirms that the selling pressure has been extreme and the stock is temporarily out of favor, setting up a potential bounce.
#### 2. Momentum Turning Up
* **Condition:** `rsiD > rsiPrev` (Current Daily RSI value is greater than the previous day's Daily RSI value).
* **Purpose:** This is the most crucial filter. It confirms that the momentum has **just started to shift upward**, indicating that the low may be in and the stock is turning away from the oversold region.
#### 3. Established Uptrend (No Falling Knives)
* **Condition:** `sma50 > sma200 and closeD > sma50` (50-day SMA is above the 200-day SMA, AND the current daily close is above the 50-day SMA).
* **Purpose:** This is a **long-term trend filter**. It ensures that the current oversold condition is just a **pullback** within a larger, structurally bullish market (50 > 200), and that the price is still holding above the short-term trend line (Close > 50 SMA). This effectively screens out weak stocks in continuous downtrends.
#### 4. Price at Support (Bollinger Bands)
* **Condition:** `closeD <= lowerBB` (Daily Close is less than or equal to the lower Bollinger Band).
* **Purpose:** Provides a secondary measure of extreme price deviation. When the price touches or breaches the lower band, it suggests a significant move away from the mean (basis), often signaling strong statistical support where price is likely to revert.
### 📌 Summary of Signal
The final signal (`signal`) is triggered only when the market is confirmed to be **in a healthy long-term trend (Condition 3)**, the price is at an **extreme support level (Condition 4)**, the momentum is **oversold (Condition 1)**, and most importantly, the **momentum has begun to reverse (Condition 2)**.
SPY EMA + VWAP Day Trading Strategy (Market Hours Only)//@version=5
indicator("SPY EMA + VWAP Day Trading Strategy (Market Hours Only)", overlay=true)
// === Market Hours Filter (EST / New York Time) ===
nySession = input.session("0930-1600", "Market Session (NY Time)")
inSession = time(timeframe.period, "America/New_York") >= time(nySession, "America/New_York")
// EMAs
ema9 = ta.ema(close, 9)
ema21 = ta.ema(close, 21)
// VWAP
vwap = ta.vwap(close)
// Plot EMAs & VWAP
plot(ema9, "EMA 9", color=color.green, linewidth=2)
plot(ema21, "EMA 21", color=color.orange, linewidth=2)
plot(vwap, "VWAP", color=color.blue, linewidth=2)
// ----------- Signals -----------
long_raw = close > ema9 and ema9 > ema21 and close > vwap and ta.crossover(ema9, ema21)
short_raw = close < ema9 and ema9 < ema21 and close < vwap and ta.crossunder(ema9, ema21)
// Apply Market Hours Filter
long_signal = long_raw and inSession
short_signal = short_raw and inSession
// Plot Signals
plotshape(long_signal,
title="BUY",
style=shape.labelup,
location=location.belowbar,
color=color.green,
size=size.small,
text="BUY")
plotshape(short_signal,
title="SELL",
style=shape.labeldown,
location=location.abovebar,
color=color.red,
size=size.small,
text="SELL")
// Alerts
alertcondition(long_signal, title="BUY Alert", message="BUY Signal (Market Hours Only)")
alertcondition(short_signal, title="SELL Alert", message="SELL Signal (Market Hours Only)")
Daily TQQQ Trend Strategy (Ultra-Discreet Text Signals)✅ TradingView Description (Professional + Clean)
Daily TQQQ Trend Strategy (Ultra-Discreet Text Signals)
This indicator provides clean, minimalistic trend-following signals designed for traders who want confirmation without cluttering the chart.
Instead of using arrows, boxes, or colored shapes, this script prints tiny text labels (“Buy – trend strong” / “Sell – trend weakening”) directly on the price chart. These messages are intentionally discreet so they do not interfere with existing indicators, automated systems, or visually busy setups.
🔍 How It Works
The indicator analyzes the market using three well-established components:
1. Trend Direction (EMA 8 & EMA 20)
• Buy condition: price above both EMAs
• Sell condition: price below both EMAs
2. Momentum Confirmation (MACD)
• Buy: MACD line > Signal line
• Sell: MACD line < Signal line
3. Strength Filter (RSI 14)
• Buy: RSI above 50 (bullish strength)
• Sell: RSI below 50 (weakening momentum)
Only when all conditions align does the indicator print a discreet buy or sell label.
🧭 Signal Types
Buy – trend strong
Appears below the candle when overall trend, momentum, and strength all turn bullish.
Sell – trend weakening
Appears above the candle when trend and momentum show weakness and downside pressure increases.
Regime MapRegime Map — Volatility State Detector
This indicator is a PineScript friendly approximation of a more advanced Python regime-analysis engine.
The original backed identifies market regimes using structural break detection, Hidden-Markov Models, wavelet decomposition, and long-horizon volatility clustering. Since Pine Script cannot execute these statistical models directly, this version implements a lightweight, real-time proxy using realised volatility and statistical thresholds.
The purpose is to provide a clear visual map of evolving volatility conditions without requiring any heavy offline computation.
________________________________________
Mathematical Basis: Python vs Pine
1. Volatility Estimation
Python (Realised Volatility):
RVₜ = √N × stdev( log(Pₜ) − log(Pₜ₋₁) )
Pine Approximation:
RVₜ = stdev( log(Pₜ) − log(Pₜ₋₁), lookback )
Rationale:
Realised volatility captures volatility clustering — a key characteristic of regime transitions.
________________________________________
2. Regime Classification
Python (HMM Volatility States):
Volatility is modelled as belonging to hidden states with different means and variances:
State μ₁, σ₁
State μ₂, σ₂
State μ₃, σ₃
with state transitions determined by a probability matrix.
Pine Approximation (Z-Score Regimes):
Zₜ = ( RVₜ − mean(RV) ) / stdev(RV)
Regime assignment:
• Regime 0 (Low Vol): Zₜ < Zₗₒw
• Regime 1 (Normal): Zₗₒw ≤ Zₜ ≤ Zₕᵢgh
• Regime 2 (High Vol): Zₜ > Zₕᵢgh
Rationale:
Z-scores provide clean statistical boundaries that behave similarly to HMM state separation but are computable in real time.
________________________________________
3. Structural Break Detection vs Rolling Windows
Python (Bai–Perron Structural Breaks):
Segments the volatility series into periods with distinct statistical properties by minimising squared error over multiple regimes.
Pine Approximation:
Rolling mean and rolling standard deviation of volatility over a long window.
Rationale:
When structural breaks are not available, long-window smoothing approximates slow regime changes effectively.
________________________________________
4. Multi-Scale Cycles
Python (Wavelet Decomposition):
Volatility decomposed into long-cycle (A₄) and short-cycle components (D bands).
Pine Approximation:
Single-scale smoothing using long-horizon averages of RV.
Rationale:
Wavelets reveal multi-frequency behaviour; Pine captures the dominant low-frequency component.
________________________________________
Indicator Output
The background colour reflects the active volatility regime:
• Low Volatility (Green): trending behaviour, cleaner directional movement
• Normal Volatility (Yellow): balanced environment
• High Volatility (Red): sharp swings, traps, mean-reversion phases
Regime labels appear on the chart, with a status panel displaying the current regime.
________________________________________
Operational Logic
1. Compute log returns
2. Calculate short-horizon realised volatility
3. Compute long-horizon mean and standard deviation
4. Derive volatility Z-score
5. Assign regime classification
6. Update background colour and labels
This provides a stable, real-time map of market state transitions.
________________________________________
Practical Applications
Intraday Trading
• Low-volatility regimes favour trend and breakout continuation
• High-volatility regimes favour mean reversion and wide stop placement
Swing Trading
• Compression phases often precede multi-day trending moves
• Volatility expansions accompany distribution or panic events
Risk Management
• Enables volatility-adjusted position sizing
• Helps avoid leverage during expansion regimes
________________________________________
Notes
• Does not repaint
• Fully configurable thresholds and lookbacks
• Works across indices, stocks, FX, crypto
• Designed for real-time volatility regime identification
________________________________________
Disclaimer
This script is intended solely for educational and research purposes.
It does not constitute financial advice or a recommendation to buy or sell any instrument.
Trading involves risk, and past volatility patterns do not guarantee future outcomes.
Users are responsible for their own trading decisions, and the author assumes no liability for financial loss.
TQQQ Ultra Clean Trend Strategy⭐ TradingView Script Description (Layman Friendly, Polished, Professional)
TQQQ Ultra Clean Trend Strategy
This strategy is designed to make trend-following simple and easy to understand, even for beginners.
It looks at three basic conditions to decide when to buy and when to sell, using only price action and two moving averages.
🔵 Buy Logic (in simple English)
The strategy generates a Buy when:
Price is moving upward (above the 50-day average)
The overall trend is healthy (50-day average above the 250-day average)
Strength is increasing (momentum is positive)
In plain words:
👉 “Price is climbing strongly, buyers are in control, and the trend is pointing upward.”
Only when all three conditions agree do we buy.
🔴 Sell Logic (in simple English)
A Sell happens when any of these warning signs appear:
Price starts to fall below the short-term trend
The trend begins to weaken
Momentum turns negative
In plain words:
👉 “Price is starting to drop, the up-move is losing strength, and the trend may be ending.”
This helps lock in gains when the market starts showing weakness.
🟢 Why this strategy is clean and easy to read
Only small text labels appear on the chart (“Buy: Price climbing strongly” / “Sell: Price starting to drop”)
No clutter, no shapes, no background boxes
Makes it easy to visually understand why a trade happened
Uses only reliable long-term signals to avoid noise
Perfect for trending instruments like TQQQ
SPY Key LevelsUse Case
Do you belong to a group of traders that post key levels based on their technical analysis to be utilized for trading opportunities? The goal of this indicator is to reduce your daily prep time by allowing you to paste in the actual level values instead of trying to manually create each of the horizontal lines.
How it works
Simply enter the values of the key levels that you would like to plot horizontal lines for
Settings
You can enable/disable any of the levels
You can change the colors of the levels
You can add Previous Day High and Previous Day Low levels to the chart
Limitations
Currently the levels (besides PDH/PDL) are hardcoded to only display for the SPY security "AMEX:SPY"
// Terms \\
Feel free to use the script, If you do use the script could you please just tag me as I am interested to see how people are using it. Good Luck!
@Aladdin's Trading Web – Command CenterThe indicator uses standard Pine Script functionality including z-score normalization, standard deviation calculations, percentage change measurements, and request.security calls for multiple predefined symbols. There are no proprietary algorithms, external data feeds, or restricted calculation methods that would require protecting the source code.
Description:
The @Aladdin's Trading Web – Command Center indicator provides a composite market regime assessment through a weighted combination of multiple intermarket relationships. The indicator calculates normalized z-scores across several key market components including banks, volatility, the US dollar, credit spreads, interest rates, and alternative assets.
Each component is standardized using z-score methodology over a user-defined lookback period and combined according to configurable weighting parameters. The resulting composite measure provides a normalized assessment of the prevailing market environment, with the option to invert rate relationships for specific market regime conditions.
The indicator focuses on capturing the synchronized behavior across these interconnected market segments to provide a unified view of systemic market conditions.
Elite Federal Reserve AIThe Elite Federal Reserve AI indicator provides an analytical framework focused on monitoring economic and market conditions that influence Federal Reserve policy decisions. The indicator examines key relationships and rate-of-change metrics across multiple proxies for monetary policy drivers.
The indicator tracks and analyzes:
• Yield curve dynamics through rate-of-change measurements in short and intermediate-term Treasury yields
• Inflation expectations via TIPS breakeven rate momentum
• Dollar strength and its rate of change over specified periods
• Financial market stress indicators including volatility and sector performance metrics
• Breadth measures through small capitalization stock performance
The indicator calculates momentum and rate-of-change values across these variables to identify shifts in the economic and financial conditions that serve as primary inputs to Federal Reserve decision-making. By monitoring the velocity of change in these key relationships, the indicator provides insight into the changing balance between inflationary pressures, growth expectations, financial stability concerns, and currency dynamics.
This approach focuses on the observable market-based indicators that reflect the underlying economic conditions the Federal Reserve considers in its policy formulation, enabling users to assess the prevailing policy environment through the lens of these critical market relationships and their momentum characteristics.
Elite Correlation Matrix AIThe Elite Correlation Matrix AI indicator provides comprehensive real-time correlation analysis across multiple asset classes, displaying the interrelationships between equities, bonds, commodities, currencies, and volatility instruments.
The indicator calculates and displays correlation coefficients between a predefined set of major market indices and instruments, including:
• Major equity indices (SPY, QQQ, IWM)
• Long-term Treasury bonds (TLT)
• Gold (GLD)
• Crude oil (USO)
• Volatility (VIX)
• US Dollar Index (DXY)
• Bitcoin (BTCUSD)
Key features include:
• Rolling correlation calculations across user-defined periods to identify both short-term and longer-term relationships
• Visual correlation heat map showing the strength and direction of relationships between all tracked instruments
• Detection of correlation breakdowns, which often precede significant market regime shifts
• Dashboard display providing summary metrics of prevailing correlation patterns
The indicator enables users to monitor the current state of market relationships and identify when traditional correlations begin to break down, which frequently serves as an early warning of impending changes in market behavior. By tracking the degree of connectedness between different asset classes, the indicator provides insight into the current risk environment and the potential for diversification effectiveness.
This analysis is particularly valuable for understanding periods of market stress when asset relationships deviate from their normal patterns, as well as identifying environments where traditional correlations hold and where they are undergoing structural changes.
Elite Commodities AIThe Elite Commodities AI indicator provides a comprehensive analytical framework designed specifically for commodities trading. It combines multiple technical components to assess price action within the unique characteristics of commodity markets.
The indicator incorporates the following key elements:
Multi-timeframe RSI analysis across the primary timeframe, 4-hour, and daily periods
Multiple exponential moving averages (fast, slow, and trend) to establish directional context
Volume rate analysis measuring current volume relative to recent average volume
Bollinger Band width analysis to identify periods of volatility contraction
True Range volatility expressed as a percentage of price
The indicator evaluates the interaction between momentum, trend structure, volume participation, and volatility dynamics, which are particularly significant in commodities markets due to their sensitivity to changes in supply-demand fundamentals and large institutional order flow.
By combining these analytical components, the indicator provides a layered assessment of price behavior that captures the interplay between trend development, momentum characteristics, participation levels, and volatility compression—key factors that drive commodity market movements.
This approach enables traders to identify significant price action within the context of prevailing market structure, making it suitable for analyzing both directional trends and consolidation periods that are common in commodity price behavior.2.2s
Elite Bond Market AIDescription:
The Elite Bond Market AI indicator provides a comprehensive analytical framework specifically designed for bond market price action. The indicator combines multiple technical components including multi-timeframe RSI analysis, moving average relationships, volume dynamics, and volatility measurements to identify significant price behavior within the unique characteristics of bond market trading.
The indicator incorporates:
Multi-timeframe RSI evaluation across primary, 4-hour, and daily timeframes
Fast, slow, and trend exponential moving averages for directional context
Volume rate analysis relative to recent average volume
Bollinger Band width measurement for volatility contraction assessment
True Range volatility normalized as a percentage of price
This combination provides a layered analytical approach that captures the interplay between momentum, trend structure, participation levels, and volatility compression—key factors in bond market price discovery and directional moves.
Local Watchlist Gauge v6The Local Watchlist Gauge displays a compact monitoring table for a user-defined list of symbols, showing their current trend status and performance relative to their 52-week high.
The indicator presents a table that simultaneously tracks multiple symbols and displays:
• Trend direction for each symbol, determined by whether the closing price is above or below a user-defined moving average
• Percentage distance from the 52-week high, providing a clear measure of recent performance relative to the yearly peak
Each symbol is displayed with:
Trend indicator showing whether the symbol is in an uptrend (above moving average) or downtrend (below moving average)
Distance from 52-week high expressed as a percentage, with color coding to indicate proximity to recent highs
Green indicates symbols trading within 5% of their 52-week high, orange indicates symbols between 5% and 20% below their 52-week high, and red indicates symbols trading more than 20% below their 52-week high.
The table provides an at-a-glance summary of the trend status and relative performance of all symbols in the specified watchlist, allowing users to quickly identify which instruments are maintaining trend strength near their recent highs and which have experienced significant pullbacks from their yearly peaks.
Granville 8-Rule Engine — v6Description:
The Granville 8-Rule Engine systematically implements Joseph Granville's eight original trading rules, which provide a comprehensive framework for interpreting price action relative to a moving average to identify genuine trend changes and avoid false signals.
Granville's methodology focuses on the critical relationship between price movement and the direction of the moving average, recognizing that valid trend changes and continuations exhibit specific behavioral patterns while false breakouts and reversals show characteristic divergences.
The indicator evaluates all eight of Granville's rules and assigns a composite score based on their fulfillment:
Bullish Rules:
Rule 1: Price crosses above a rising moving average (+3 points)
Rule 2: Price remains above a rising moving average after testing support (+2 points)
Rule 3: Price remains above a rising moving average after penetrating below it (+1 point)
Rule 4: Moving average changes from declining to rising (+1 point)
Bearish Rules:
Rule 5: Price crosses below a declining moving average (-3 points)
Rule 6: Price remains below a declining moving average after testing resistance (-2 points)
Rule 7: Price remains below a declining moving average after penetrating above it (-1 point)
The indicator incorporates volume confirmation by adding or subtracting additional points when significant volume accompanies the fulfillment of bullish or bearish rules, respectively.
A buy signal is generated when the composite score reaches +4 or higher, indicating multiple bullish rules are simultaneously satisfied. A sell signal is generated when the score reaches -4 or lower, indicating multiple bearish rules are in effect.
This systematic approach filters out many false breakout and whipsaw signals by requiring multiple confirmatory conditions rather than relying on simple moving average crossovers. The scoring mechanism provides a quantitative measure of the strength of the prevailing trend relationship, enabling traders to distinguish between genuine trend development and deceptive price movements that fail to confirm with the moving average direction.
The Granville 8-Rule Engine provides a disciplined, rule-based method for determining whether price movements represent valid trend continuation, genuine trend reversal, or potentially misleading counter-trend activity that is likely to fail. By requiring multiple confirmatory conditions from Granville's established rules, the indicator helps traders avoid premature entries and provides higher-probability signals for participating in sustained trend movements.
Vibha Jha TQQQ Clean Buy/Sell📈 Vibha Jha TEQQ Hybrid Strategy — Buy/Sell Signals
This script replicates the high-performance buy/sell methodology of Vibha Jha, one of the top money-manager performers in the U.S. Investing Championship (USIC). Her hybrid system generated triple-digit returns in both 2020 and 2021, and strong follow-up performance in 2023–2024 through a strict, rules-based combination of:
✔ CANSLIM-style market leadership tracking
✔ Position-trading fundamentals
✔ Rules-based swing trading using TQQQ/QQQ
✔ Tight entries & disciplined sells
✔ Market-timed exposure based on follow-through days, 21-EMA, and distribution clusters
🚀 What This Indicator Does
This indicator plots clean BUY and SELL signals based on Vibha’s core rule set:
BUY Signals
Three consecutive higher highs AND higher lows (her famous “3-day up” rule)
Strong up-day with rising volume
Designed to catch early trend reversals and early-stage rally attempts
SELL Signals
Two closes below the 21-day EMA
Three consecutive down days
Distribution cluster (4+ distribution days in the last 6 bars)
Captures exhaustion, weakening trend, and institutional selling
🧠 Why This Works
Vibha’s system is built on the reality that:
🔹 Markets give early warning before reversing
🔹 Momentum shifts appear before fundamentals
🔹 Distribution clusters precede pullbacks
🔹 3-day up patterns often kick off powerful rallies
🔹 TQQQ/QQQ respond clearly to technical signals
This indicator applies those insights directly to your chart—stocks, crypto, indices, or leveraged ETFs.
SPX +10 / -10 From 9:30 Open//@version=5
indicator("SPX +10 / -10 From 9:30 Open", overlay=true)
// Exchange Time (New York)
sess = input.session("0930-1600", "Regular Session (ET)")
// Detect session and 9:30 AM bar
inSession = time(timeframe.period, sess)
// Capture the 9:30 AM open
var float open930 = na
if inSession
// If this is the first bar of the session (9:30 AM)
if time(timeframe.period, sess) == na
open930 := open
else
open930 := na
// Calculate movement from 9:30 AM open
up10 = close >= open930 + 10
dn10 = close <= open930 - 10
// Plot reference lines
plot(open930, "9:30 AM Open", color=color.orange)
plot(open930 + 10, "+10 Level", color=color.green)
plot(open930 - 10, "-10 Level", color=color.red)
// Alert conditions
alertcondition(up10, title="SPX Up +10", message="SPX moved UP +10 from the 9:30 AM open")
alertcondition(dn10, title="SPX Down -10", message="SPX moved DOWN -10 from the 9:30 AM open")
// Plot signals on chart
plotshape(up10, title="+10 Hit", style=shape.labelup, color=color.green, text="+10", location=location.belowbar, size=size.tiny)
plotshape(dn10, title="-10 Hit", style=shape.labeldown, color=color.red, text="-10", location=location.abovebar, size=size.tiny)
Unusual Volume//@version=5
indicator("Unusual Volume", overlay=false)
// --- Inputs ---
len = input.int(20, "Average Volume Length", minval=1)
mult = input.float(2.0, "Unusual Volume Multiplier", step=0.1)
// --- Calculations ---
avgVol = ta.sma(volume, len)
ratio = volume / avgVol
isBigVol = ratio > mult
// --- Plots ---
plot(volume, "Volume", style=plot.style_columns,
color = isBigVol ? color.new(color.green, 0) : color.new(color.gray, 60))
plot(avgVol, "Average Volume", color=color.orange)
// Mark unusual volume bars
plotshape(isBigVol, title="Unusual Volume Marker",
location=location.bottom, style=shape.triangleup,
color=color.green, size=size.tiny, text="UV")
// Optional: show ratio in Data Window
var label ratioLabel = na
Daily % Change TableDaily % Change Table — Indicator Summary
This indicator provides a compact performance summary for daily candles, designed for backtesting and daily-session analysis. It displays a table in the top-right corner of the chart showing three key percentage-change statistics based on the current candle:
1. Prior Change
Percentage move from the close two days ago to the prior day’s close.
Useful for understanding momentum and context heading into the current session.
2. Change
Percentage move from the prior day's close to the current candle’s close.
Shows today’s full-session change.
3. Premarket
Percentage move from the prior day's close to the current day’s open.
Helps quantify overnight sentiment and gap activity.
Features
Clean, unobtrusive table display
Automatically updates on the most recent bar
Designed for use on Daily timeframe
Useful for gap analysis, backtesting, and volatility/momentum studies
Unusual Volume//@version=5
indicator("Unusual Volume", overlay=false)
// --- Inputs ---
len = input.int(20, "Average Volume Length", minval=1)
mult = input.float(2.0, "Unusual Volume Multiplier", step=0.1)
// --- Calculations ---
avgVol = ta.sma(volume, len)
ratio = volume / avgVol
isBigVol = ratio > mult
// --- Plots ---
plot(volume, "Volume", style=plot.style_columns,
color = isBigVol ? color.new(color.green, 0) : color.new(color.gray, 60))
plot(avgVol, "Average Volume", color=color.orange)
// Mark unusual volume bars
plotshape(isBigVol, title="Unusual Volume Marker",
location=location.bottom, style=shape.triangleup,
color=color.green, size=size.tiny, text="UV")
// Optional: show ratio in Data Window
var label ratioLabel = na
Future High LinePlot a horizontal line from the current high n bars into the future. Line is user configurable.
Works well with Ichimoku Cloud. When line (26 bars) rises into an overhead cloud, this often signals bullish price movement.
10/20 EMA 50/100/200 SMA — by mijoomoCreated by mijoomo.
This indicator combines EMA 10 & EMA 20 with SMA 50/100/200 in one clean package.
Each moving average is toggleable, fully labeled, and alert-compatible.
Designed for traders who want a simple and effective multi-MA trend tool.
Gold Master: Swing + Daily Scalp (Fixed & Working)How to use it correctly
Daily chart → Focus only on big green/red triangles (Swing trades)
5m / 15m / 1H chart → Focus on small circles (Scalp trades)
You can turn each system on/off independently in the settings
Works perfectly on XAUUSD, GLD, GC futures, and even DXY (inverse signals).
