@DARKPOOL Magnet - MEMEDescription:
The @DARKPOOL Magnet indicator identifies and displays significant price levels where institutional buying and selling activity has created persistent support and resistance zones. The indicator focuses on three primary types of institutional footprints:
Pin Zone Detection: Identifies price levels where multiple pin bars (high volume, narrow range candles) have clustered within a specified tolerance, indicating repeated institutional defense of those levels.
Whale Footprint Detection: Detects absorption events where significant volume occurs with minimal net price movement, suggesting large institutional orders being filled without allowing substantial directional movement.
Dark Pool Detection: Identifies potential dark pool prints characterized by unexplained price gaps that occur without visible tape activity, indicating off-exchange institutional transactions.
The indicator draws horizontal lines at these identified institutional price levels and highlights areas where multiple detection methods converge, creating confluence zones that represent higher probability support and resistance levels.
Confluence lines are displayed when multiple independently identified institutional levels occur within a user-specified proximity, providing visual emphasis on price levels with the strongest institutional interest.
Indicateurs et stratégies
Santhosh Zero lag Trend change AlertThis indicator alert whenever these is a change in trend direction. Change input to match with your Asset/Index. This works well in all time frame, I recommend this for Scalping and Position trading
PALUTLA BUY SELL✅ BUY Signal Logic
A BUY label appears when:
EMA 9 crosses ABOVE EMA 21
AND
Price is trading ABOVE VWAP
This confirms that short-term momentum has turned bullish and price is aligned with the day’s average value — a strong intraday uptrend setup.
🔻 SELL Signal Logic
A SELL label appears when:
EMA 9 crosses BELOW EMA 21
AND
Price is trading BELOW VWAP
This confirms bearish momentum and trade alignment below value, indicating downward continuation potential.
🎯 Visual Features
• Green background / BUY labels → Bullish zone
• Red background / SELL labels → Bearish zone
• Grey background → No-trade zone
• EMA 9 and EMA 21 plotted on the price chart
• VWAP plotted as the session trend reference line
• Clear BUY/SELL labels on crossover candles
⏱ Best Timeframes
➡ Works best on intraday charts:
1m – 15m
VWAP is session-based, so daily/weekly timeframes are not recommended.
⚠️ Disclaimer
This indicator provides technical trade signals only.
Not financial advice.
Always use proper risk management and confirmation before trading.
@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.
ES-VIX Expected Daily MoveThis indicator calculates the expected daily price movement for ES futures based on current volatility levels as measured by the VIX (CBOE Volatility Index).
Formula:
Expected Daily Move = (ES Price × VIX Price) / √252 / 100
The calculation converts the annualized VIX volatility into an expected daily move by dividing by the square root of 252 (the approximate number of trading days per year).
Features:
Real-time calculation using current ES futures price and VIX level
Histogram visualization in a separate pane for easy trend analysis
Information table displaying:
Current ES futures price
Current VIX level
Expected daily move in points
Expected daily move as a percentage
Elite Energy Alpha MatrixThe Elite Energy Alpha Matrix indicator provides comprehensive analysis of the energy sector, focusing on the complex relationships between crude oil benchmarks, natural gas, energy-related ETFs, and the performance dynamics across various energy sub-sectors.
The indicator tracks multiple energy price data sources including WTI crude oil, Brent crude, natural gas, and oil ETFs, enabling detailed monitoring of price relationships and divergences within the energy complex.
Key analytical components include:
• Correlation analysis between major energy benchmarks
• Multi-timeframe examination of energy price relationships
• Sector rotation detection within energy sub-sectors including integrated oil majors, exploration and production companies, oilfield services, refiners, pipelines, and renewable energy
• Performance monitoring across different energy market segments
The indicator provides a structured framework for analyzing the internal dynamics of the energy sector, identifying periods of alignment or divergence between different energy price instruments, and monitoring relative performance across energy sub-sectors.
This approach enables users to assess the consistency of price movements across the energy complex and identify situations where different components of the energy market are exhibiting divergent behavior, which can provide insight into the underlying drivers affecting the sector.2.6s
sabaribuysellThe KIRA EMA 9–21 + VWAP indicator is a simple, clean intraday trading tool designed to capture high-probability trend entries using a fast EMA crossover confirmed by VWAP direction.
BUY CONDITION:
EMA 9 crosses above EMA 21 AND price trades above VWAP.
SELL CONDITION:
EMA 9 crosses below EMA 21 AND price trades below VWAP.
Signals are shown directly on the chart with clear BUY and SELL labels.
Background colors highlight trade zones:
• Green = Buy Zone
• Red = Sell Zone
• Grey = No-Trade Zone
This strategy works best on intraday timeframes:
1 minute to 15 minute charts.
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.
Kira EMA9 EMA21 VWAP ZONES//@version=5
indicator("Kira EMA9 EMA21 VWAP ZONES", overlay=true)
// === EMAs ===
ema9 = ta.ema(close, 9)
ema21 = ta.ema(close, 21)
// === VWAP ===
vwapLine = ta.vwap(hlc3)
// === CONDITIONS ===
isBuy = ema9 > ema21 and close > vwapLine
isSell = ema9 < ema21 and close < vwapLine
noTrade = not isBuy and not isSell
// === PLOTS ===
plot(ema9, color=color.green, linewidth=2)
plot(ema21, color=color.red, linewidth=2)
plot(vwapLine, color=color.blue, linewidth=2)
// === BACKGROUND ZONES ===
bgcolor(isBuy ? color.new(color.green, 85) :
isSell ? color.new(color.red, 85) :
color.new(color.gray, 85))
// === BUY / SELL ARROWS EVERY BAR ===
plotshape(isBuy, title="BUY", style=shape.triangleup,
location=location.belowbar,
color=color.green, size=size.tiny)
plotshape(isSell, title="SELL", style=shape.triangledown,
location=location.abovebar,
color=color.red, size=size.tiny)
// === ALERTS ===
alertcondition(isBuy, title="BUY ZONE ACTIVE",
message="BUY zone active on {{ticker}}")
alertcondition(isSell, title="SELL ZONE ACTIVE",
message="SELL zone active on {{ticker}}")
Zone Levels (Range + ZoneHeight)This is a Template for drawing out zones from one ankerpoint zone.Just mark out the distance from one leveledge to the next and it will give you infinte more zoneedges in the same distance. You can also adjust the zone height if wanted (i used 10 as example).
I hope youll enjoy it
AJ
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.
Moving Average 13 Exponential//@version=6
indicator(title="Moving Average 13 Exponential", shorttitle="EMA", overlay=true, timeframe="", timeframe_gaps=true)
len = input.int(9, minval=1, title="Length")
src = input(close, title="Source")
offset = input.int(title="Offset", defval=0, minval=-500, maxval=500, display = display.data_window)
out = ta.ema(src, len)
plot(out, title="EMA", color=color.yellow, offset=offset)
// Smoothing MA inputs
GRP = "Smoothing"
TT_BB = "Only applies when 'SMA + Bollinger Bands' is selected. Determines the distance between the SMA and the bands."
maTypeInput = input.string("None", "Type", options = , group = GRP, display = display.data_window)
var isBB = maTypeInput == "SMA + Bollinger Bands"
maLengthInput = input.int(14, "Length", group = GRP, display = display.data_window, active = maTypeInput != "None")
bbMultInput = input.float(2.0, "BB StdDev", minval = 0.001, maxval = 50, step = 0.5, tooltip = TT_BB, group = GRP, display = display.data_window, active = isBB)
var enableMA = maTypeInput != "None"
// Smoothing MA Calculation
ma(source, length, MAtype) =>
switch MAtype
"SMA" => ta.sma(source, length)
"SMA + Bollinger Bands" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
"SMMA (RMA)" => ta.rma(source, length)
"WMA" => ta.wma(source, length)
"VWMA" => ta.vwma(source, length)
// Smoothing MA plots
smoothingMA = enableMA ? ma(out, maLengthInput, maTypeInput) : na
smoothingStDev = isBB ? ta.stdev(out, maLengthInput) * bbMultInput : na
plot(smoothingMA, "EMA-based MA", color=color.yellow, display = enableMA ? display.all : display.none, editable = enableMA)
bbUpperBand = plot(smoothingMA + smoothingStDev, title = "Upper Bollinger Band", color=color.green, display = isBB ? display.all : display.none, editable = isBB)
bbLowerBand = plot(smoothingMA - smoothingStDev, title = "Lower Bollinger Band", color=color.green, display = isBB ? display.all : display.none, editable = isBB)
fill(bbUpperBand, bbLowerBand, color= isBB ? color.new(color.green, 90) : na, title="Bollinger Bands Background Fill", display = isBB ? display.all : display.none, editable = isBB)
