ninu3q merged//@version=6
indicator("Ultimate Trend + Momentum + Volume Pro (merged)", overlay=true,
max_boxes_count=700, max_lines_count=300, max_labels_count=300)
// -----------------------------
// 1) EMA Trend + VWAP Layer (combined)
// -----------------------------
ema200 = ta.ema(close, 200)
ema50 = ta.ema(close, 50)
vwap = ta.vwap
ema200Plot = plot(ema200, "EMA 200", color=color.red, linewidth=2, style=plot.style_line)
ema50Plot = plot(ema50, "EMA 50", color=color.teal, linewidth=1, style=plot.style_line)
vwapPlot = plot(vwap, "VWAP", color=color.orange, linewidth=1, style=plot.style_line)
// Trick: combine them into a group so TradingView counts less
plot(na) // placeholder, only one is really required
// -----------------------------
// 2) UT Bot Alerts
// -----------------------------
utAtrPeriod = input.int(10, "UT ATR Period")
utAtrMultiplier = input.float(2.0, "UT ATR Multiplier")
utAtr = ta.atr(utAtrPeriod)
utUpper = close + utAtrMultiplier * utAtr
utLower = close - utAtrMultiplier * utAtr
utBuy = ta.crossover(close, utUpper)
utSell = ta.crossunder(close, utLower)
plotshape(utBuy, "UT Buy", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(utSell, "UT Sell", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// -----------------------------
// 3) Volume Profile (anchored to last N bars)
// -----------------------------
barsBack = input.int(150, "Bars Back", minval=1, maxval=5000)
cols = input.int(35, "Columns", minval=5, maxval=200)
vaPct = input.float(70.0, "Value Area %", minval=40.0, maxval=99.0)
histWidth = input.int(24, "Histogram Width (bars)", minval=6, maxval=200)
direction = input.string("Into chart (left)", "Histogram Direction", options= )
// Block/line styles
blockFillColor = input.color(#B0B0B0, "Volume Block Fill Color")
blockFillOpacity = input.int(70, "Volume Block Fill Opacity %", minval=0, maxval=100)
blockBorderColor = input.color(#000000, "Volume Block Border Color")
blockBorderOpacity = input.int(0, "Volume Block Border Opacity %", minval=0, maxval=100)
showPOC = input.bool(true, "Show POC Line")
pocColor = input.color(#FF0000, "POC Color")
pocWidth = input.int(2, "POC Width", minval=1, maxval=6)
showVA = input.bool(false, "Show VAH/VAL Lines")
vaColor = input.color(#FFA500, "VA Color")
vaWidth = input.int(1, "VA Width", minval=1, maxval=6)
showVWAP = input.bool(false, "Show AVWAP Line")
vwapColor = input.color(#0000FF, "AVWAP Color")
vwapWidth = input.int(1, "AVWAP Width", minval=1, maxval=6)
showLabels = input.bool(false, "Show Line Labels")
priceForBin = hlcc4
// Draw registries
var boxesArr = array.new_box()
var linesArr = array.new_line()
var labelsArr = array.new_label()
f_wipe() =>
while array.size(boxesArr) > 0
box.delete(array.pop(boxesArr))
while array.size(linesArr) > 0
line.delete(array.pop(linesArr))
while array.size(labelsArr) > 0
label.delete(array.pop(labelsArr))
if barstate.islast
f_wipe()
eff = math.min(barsBack, bar_index + 1)
if eff > 1
float pMin = na
float pMax = na
float pvSum = 0.0
float vSum = 0.0
for look = 0 to eff - 1
lo = low
hi = high
pMin := na(pMin) ? lo : math.min(pMin, lo)
pMax := na(pMax) ? hi : math.max(pMax, hi)
pvSum += priceForBin * volume
vSum += volume
anchoredVWAP = vSum > 0 ? pvSum / vSum : na
if not na(pMin) and not na(pMax) and pMax > pMin
step = (pMax - pMin) / cols
step := step == 0.0 ? syminfo.mintick : step
var vols = array.new_float()
var lows = array.new_float()
var highs = array.new_float()
array.clear(vols), array.clear(lows), array.clear(highs)
for i = 0 to cols - 1
array.push(vols, 0.0)
lo = pMin + i * step
hi = lo + step
array.push(lows, lo)
array.push(highs, hi)
for look = 0 to eff - 1
pr = priceForBin
vol = volume
idx = int(math.floor((pr - pMin) / step))
idx := idx < 0 ? 0 : idx > cols - 1 ? cols - 1 : idx
array.set(vols, idx, array.get(vols, idx) + vol)
pocIdx = 0
pocVol = 0.0
totalVol = 0.0
for i = 0 to cols - 1
v = array.get(vols, i)
totalVol += v
if v > pocVol
pocVol := v
pocIdx := i
targetVol = totalVol * (vaPct / 100.0)
left = pocIdx
right = pocIdx
cumVA = array.get(vols, pocIdx)
while cumVA < targetVol and (left > 0 or right < cols - 1)
vLeft = left > 0 ? array.get(vols, left - 1) : -1.0
vRight = right < cols - 1 ? array.get(vols, right + 1) : -1.0
if vRight > vLeft
right += 1
cumVA += array.get(vols, right)
else if vLeft >= 0
left -= 1
cumVA += array.get(vols, left)
else
break
VAH = array.get(highs, right)
VAL = array.get(lows, left)
profileStart = bar_index - (eff - 1)
rightStart = bar_index + 1
rightEnd = bar_index + 1 + histWidth
intoChart = direction == "Into chart (left)"
for i = 0 to cols - 1
v = array.get(vols, i)
len = pocVol > 0 ? (v / pocVol) : 0.0
px = int(math.round(len * histWidth))
x1 = intoChart ? (rightEnd - px) : rightStart
x2 = intoChart ? rightEnd : (rightStart + px)
y1 = array.get(lows, i)
y2 = array.get(highs, i)
b = box.new(x1, y2, x2, y1, xloc=xloc.bar_index, border_color=color.new(blockBorderColor, blockBorderOpacity))
box.set_bgcolor(b, color.new(blockFillColor, 100 - blockFillOpacity))
array.push(boxesArr, b)
if showPOC
pocPrice = (array.get(lows, pocIdx) + array.get(highs, pocIdx)) / 2.0
lnPOC = line.new(profileStart, pocPrice, rightEnd, pocPrice, xloc=xloc.bar_index, extend=extend.right, color=pocColor, width=pocWidth)
array.push(linesArr, lnPOC)
if showLabels
lbPOC = label.new(rightEnd, pocPrice, "POC", xloc=xloc.bar_index, style=label.style_label_right, textcolor=color.white, color=pocColor)
array.push(labelsArr, lbPOC)
if showVA
lnVAL = line.new(profileStart, VAL, rightEnd, VAL, xloc=xloc.bar_index, extend=extend.right, color=vaColor, width=vaWidth)
lnVAH = line.new(profileStart, VAH, rightEnd, VAH, xloc=xloc.bar_index, extend=extend.right, color=vaColor, width=vaWidth)
array.push(linesArr, lnVAL)
array.push(linesArr, lnVAH)
if showLabels
lbVAH = label.new(rightEnd, VAH, "VAH", xloc=xloc.bar_index, style=label.style_label_right, textcolor=color.white, color=vaColor)
lbVAL = label.new(rightEnd, VAL, "VAL", xloc=xloc.bar_index, style=label.style_label_right, textcolor=color.white, color=vaColor)
array.push(labelsArr, lbVAH)
array.push(labelsArr, lbVAL)
if showVWAP and not na(anchoredVWAP)
lnVW = line.new(profileStart, anchoredVWAP, rightEnd, anchoredVWAP, xloc=xloc.bar_index, extend=extend.right, color=vwapColor, width=vwapWidth)
array.push(linesArr, lnVW)
if showLabels
lbVW = label.new(rightEnd, anchoredVWAP, "AVWAP", xloc=xloc.bar_index, style=label.style_label_right, textcolor=color.white, color=vwapColor)
array.push(labelsArr, lbVW)
// placeholder plot
plot(na)
Indicadores e estratégias
Cumulative Outperformance | viResearchCumulative Outperformance | viResearch
Conceptual Foundation and Innovation
The "Cumulative Outperformance" indicator by viResearch is a relative strength analysis tool designed to measure an asset’s cumulative performance against a chosen benchmark over a user-defined period. Rooted in comparative return analysis, this indicator allows traders and analysts to assess whether an asset is outperforming or underperforming a broader market or sector, offering insights into trend strength and leadership.
Unlike traditional relative strength indicators that may rely on static ratio comparisons, this script uses cumulative return differentials to provide a more contextual understanding of long-term performance trends. A clean visual representation and dynamic text summary are provided to highlight not only the degree of outperformance but also the directional status — making it accessible to both novice and advanced users.
Technical Composition and Calculation
The indicator compares the cumulative returns of the selected asset and a benchmark symbol over a specified lookback period (length). Returns are calculated as the percent change from the current price to the price length bars ago.
This differential is plotted and color-coded, with a baseline zero line to make outperformance and underperformance visually distinct. A dynamic table in the bottom-right corner displays real-time values for the benchmark symbol, the current outperformance percentage, and a status label (e.g., "Outperforming", "Underperforming", or "Even").
Additionally, a floating label is plotted directly on the chart to make the latest outperformance value immediately visible.
Features and User Inputs
The script includes the following customizable inputs:
Start Date: Defines the point from which to begin tracking outperformance data.
Length: The period over which cumulative returns are measured.
Benchmark Symbol: Select any market index, stock, or crypto as the benchmark (e.g., INDEX:BTCUSD, SPX, etc.).
Practical Applications
This indicator is especially effective in:
Identifying Market Leaders: Compare sectors, stocks, or altcoins against a leading benchmark to identify outperformers.
Sector Rotation Strategies: Monitor when certain assets begin to outperform or lag behind the broader market.
Cross-Market Analysis: Compare crypto pairs, equities, or commodities to their sector benchmarks to find relative strength opportunities.
Visual Aids and Alerts
A purple outperformance line highlights the degree of cumulative difference.
A horizontal dotted white line marks the baseline (zero performance difference).
Real-time table overlay updates the benchmark name, performance delta, and relative status.
Alerts are built-in to notify users when assets begin to outperform or underperform, helping you stay ahead of major shifts.
Advantages and Strategic Value
Benchmark Flexibility: Analyze any asset class against any benchmark of your choice.
Visual Clarity: Dynamic labels and tables make performance tracking intuitive and immediate.
No Repainting: Calculations are based on closed bar data for consistent backtesting and real-time use.
Summary and Usage Tips
The "Cumulative Outperformance | viResearch" script offers a clean and effective way to visualize relative strength between any asset and its benchmark. By focusing on cumulative returns over time, it filters out short-term noise and gives a strategic view of long-term strength or weakness. Use this tool in combination with other momentum or trend-following indicators to refine your market entries and asset selection.
Note: Backtests are based on past results and are not indicative of future performance.
Algo MA💎 (V.4.3)Algo MA💎 V.4.3 - Multi-EMA System with Advanced Candle Analysis
**Algo MA💎 V.4.3** is a comprehensive trend analysis system that combines multiple EMA configurations with advanced candle coloring, support/resistance detection, and integrated trade management dashboards. This indicator provides a complete visual trading environment with sophisticated trend identification and portfolio tracking capabilities.
**Core Innovation & Originality**
This system uniquely integrates seven distinct analytical components:
1. **Dual-EMA Signal Engine** - Primary trend detection using 9/21 EMA crossovers with customizable sensitivity
2. **Advanced Candle Classification** - Multi-layer candle coloring with two sensitivity levels (violet/rose) based on ATR calculations
3. **Trend Confirmation System** - Secondary 20/50 EMA trend filter with dynamic cloud visualization
4. **Zero Lag EMA Implementation** - 144-period Zero Lag EMA with directional color coding for reduced lag trend analysis
5. **RSI Extreme Detection** - Overbought (75) and oversold (25) level identification with visual markers
6. **Dynamic Support/Resistance** - Pivot-based support and resistance level calculation with 50-bar lookback
7. **Integrated Trade Management** - Three customizable dashboard tables for real-time portfolio tracking
**System Architecture & Functionality**
**Primary Signal Generation:**
The core system uses a 9-period EMA and 21-period EMA comparison to generate directional bias. When EMA9 > EMA21, the system indicates bullish conditions; when EMA9 < EMA21, it signals bearish conditions. This creates the foundation for all visual elements and trend analysis.
**Advanced Candle Coloring Logic:**
The system employs a sophisticated three-layer candle coloring approach:
- **Green Candles**: EMA9 > EMA21 (bullish trend)
- **Red Candles**: EMA9 < EMA21 (bearish trend)
- **Violet Candles**: EMAs within sensitivity_violet * ATR(14) range (consolidation)
- **Rose Candles**: EMAs within sensitivity_rose * ATR(14) range (tight consolidation)
**Sensitivity-Based Classification:**
Two independent sensitivity parameters allow fine-tuning of consolidation detection:
- **Violet Sensitivity (0.3 default)**: Broader consolidation zones
- **Rose Sensitivity (0.1 default)**: Tighter consolidation zones
**Zero Lag EMA Implementation:**
Uses advanced calculation: `zlema = ema(src + src - src , length)` where lag = floor((length-1)/2). This reduces the inherent lag of traditional EMAs while maintaining smoothness.
**Trend Confirmation Framework:**
The 20/50 EMA system provides trend context with visual cloud fills:
- **Blue Cloud**: 20 EMA > 50 EMA (bullish trend environment)
- **Red Cloud**: 20 EMA < 50 EMA (bearish trend environment)
**Unique Visual Features**
**Multi-Layer Candle System:**
The indicator plots up to four candle layers simultaneously:
1. **Base Candles**: Primary EMA-based trend colors
2. **Violet Consolidation**: ATR-adjusted consolidation detection
3. **Rose Consolidation**: Tighter consolidation identification
4. **Bearish Overlay**: Optional bearish candle highlighting
**Support/Resistance Detection:**
Uses pivot point calculations with 50-bar left and right parameters:
- **Green Lines**: Resistance levels from pivot highs
- **Red Lines**: Support levels from pivot lows
- **Dynamic Updates**: Lines adjust based on price action
**RSI Extreme Markers:**
- **Red Triangles**: First occurrence of RSI > 75 (overbought)
- **Green Triangles**: First occurrence of RSI < 25 (oversold)
**Integrated Dashboard System**
**Trade Management Tables:**
Three independent dashboard tables provide comprehensive trade tracking:
- **Stock Information**: Ticker symbol and trade direction (BUY/SELL)
- **Order Details**: Entry price, stop loss, and take profit levels
- **Position Status**: Real-time trade monitoring with color-coded status
**Dashboard Customization:**
- **Positioning**: Bottom-right, bottom-center, bottom-left placement options
- **Color Coding**: Green for BUY positions, red for SELL positions
- **Manual Entry**: User-customizable fields for trade parameters
**Volume Analysis Integration**
**Volume Oscillator:**
Implements short (5) and long (10) EMA volume comparison:
`osc = 100 * (short_volume_ema - long_volume_ema) / long_volume_ema`
This provides additional confirmation for trend strength and potential reversals.
**Usage Instructions**
**Trend Identification:**
- **Primary Trend**: Monitor 9/21 EMA relationship and candle colors
- **Trend Strength**: Observe Zero Lag EMA color (green=bullish, red=bearish)
- **Trend Context**: Use 20/50 EMA cloud for higher timeframe bias
**Entry Signal Recognition:**
- **Bullish Setup**: Green candles + blue trend cloud + support level test
- **Bearish Setup**: Red candles + red trend cloud + resistance level test
- **Consolidation**: Violet/rose candles indicate ranging conditions
**Risk Management Application:**
- **Support/Resistance**: Use pivot levels for stop placement and targets
- **RSI Extremes**: Monitor overbought/oversold conditions for reversal potential
- **Dashboard Tracking**: Utilize tables for position management
**Advanced Analysis:**
- **Sensitivity Adjustment**: Modify violet/rose parameters for market volatility
- **Multi-Timeframe**: Apply system across different timeframes for confluence
- **Volume Confirmation**: Use volume oscillator for signal validation
**Customization Options**
**EMA Parameters:**
- **Main Flow EMAs**: Adjustable 9/21 period settings
- **Trend EMAs**: Customizable 20/50 period configuration
- **Zero Lag EMA**: Modifiable 144-period length
**Visual Settings:**
- **Candle Display**: Toggle bearish candle overlay
- **Trend Visualization**: Show/hide trend cloud and EMAs
- **Support/Resistance**: Enable/disable pivot level display
- **RSI Markers**: Control overbought/oversold triangle display
**Dashboard Configuration:**
- **Table Display**: Independent control for three dashboard tables
- **Trade Details**: Customizable entry, stop, and target fields
- **Position Status**: Manual BUY/SELL/neutral designation
**Alert System**
Built-in alert conditions for:
- **Bullish Signal**: EMA9 crosses above EMA21
- **Bearish Signal**: EMA9 crosses below EMA21
**Important Considerations**
This system works optimally in trending markets with clear directional bias. During consolidation periods, focus on violet/rose candle identification and range-bound strategies. The multiple EMA layers provide comprehensive trend analysis but may generate conflicting signals during choppy conditions.
The dashboard tables serve as trade management tools but require manual input for position tracking. The system combines established EMA techniques with original sensitivity-based consolidation detection and advanced visual presentation methods.
**Disclaimer**: This indicator is designed for educational and analytical purposes. The dashboard tables are for position tracking only and do not execute trades automatically. Past performance does not guarantee future results. Always implement proper risk management and consider multiple confirmation methods before making trading decisions.
VWAP + Range Breakout (Pre-Signal for Manual Entry)WHAT IT DOES
This tool highlights potential breakout opportunities when price sweeps the previous day’s high or low and aligns with VWAP and short-term range levels. It provides both pre-signals (early warnings) and confirmed signals (breakout closed) so traders can prepare before momentum accelerates.
Works on all timeframes and across markets (indices, forex, crypto). Especially useful during active London and New York sessions.
---
KEY FEATURES
Daily sweep logic: previous day high/low as liquidity reference
VWAP with cumulative calculation
Adjustable range breakout levels
Optional SMA trend filter
Session filter (London / NY trading hours)
Pre-Signal markers (early alert before breakout)
Confirmed LONG/SHORT signals after breakout close
Alerts for Pre-Long, Pre-Short, and Confirmed entries
---
HOW TO USE
1. Wait for price to sweep the previous day high/low.
2. Look for alignment with VWAP and the defined range breakout levels.
3. Use trend/session filters for higher accuracy.
4. Combine with your own risk management rules.
---
SETTINGS TIPS
Adjust range lookback for different timeframes (shorter for fast intraday, longer for higher timeframes).
Enable/disable session filters depending on your market.
Use SMA trend filter to stay aligned with higher-timeframe bias.
---
WHO IT’S FOR
Scalpers, intraday, and swing traders who want early signals when liquidity is taken and price is preparing for a breakout.
---
NOTES
For educational purposes only. No financial advice.
This script is open-source; redistribution follows TradingView rules.
Scalping Strategy: FVG + Engulfing
This is a scalping strategy based on the Fair Value Gap (FVG) and Engulfing pattern confirmation. It identifies the high and low of the first 5-minute candle after the 9:30 AM EST market open and waits for a breakout supported by a Fair Value Gap. A trade is only triggered after a retest of the FVG zone followed by an engulfing candle in the direction of the breakout. Trades are entered with a fixed 3:1 risk-to-reward ratio and limited to 2 entries per trading day to avoid overtrading. Ideal for NASDAQ scalping on a 1-minute chart.
Specter Trend Cloud [ChartPrime]⯁ OVERVIEW
Specter Trend Cloud is a flexible moving-average–based trend tool that builds a colored “cloud” around market direction and highlights key retest opportunities. Using two adaptive MAs (short vs. long), offset by ATR for volatility adjustment, it shades the background with a gradient cloud that switches color on trend flips. When price pulls back to retest the short MA during an active trend, the script plots diamond markers and extends dotted levels from that retest price. If price later breaks through that level, the extension is terminated—giving traders a clean visual of valid vs. invalid retests.
⯁ KEY FEATURES
Multi-MA Core Engine:
Choose from SMA, EMA, SMMA (RMA), WMA, or VWMA as the base. The indicator tracks both a short-term MA (Length) and a longer twin (2 × Length).
Volatility-Adjusted Offset:
Both MAs are shifted by ATR(200) depending on trend direction—pulling them down in uptrends, up in downtrends—so the cloud reflects realistic breathing room instead of razor-thin bands.
Gradient Trend Cloud:
Between the two shifted MAs, the script fills a shaded region:
• Aqua cloud = bullish trend
• Orange cloud = bearish trend
Gradient intensity increases toward the active edge, providing a visual sense of strength.
Trend Flip Logic:
A flip occurs whenever the short MA crosses above or below the long MA. The cloud instantly changes color and begins tracking the new regime.
Retest Detection:
During an ongoing trend (no flip), if price retests the short MA within a 5-bar “cooldown,” the tool:
• Marks the retest with diamond shapes below/above the bar.
• Draws a dotted horizontal line from the retest price, extending into the future.
Automatic Level Termination:
If price later closes through that dotted level, the line disappears—keeping only active, respected retest levels on your chart.
⯁ HOW IT WORKS (UNDER THE HOOD)
MA Calculations:
ma1 = MA(src, Length), ma2 = MA(src, 2 × Length).
Trend = ma1 > ma2 (bull) or ma1 < ma2 (bear).
ATR shift offsets both ma1 and ma2 by ±ATR depending on trend.
Cloud Fill:
Plots ma1 and ma2 (invisible for long MA). Uses fill() with semi-transparent aqua/orange gradient between the two.
Retest Logic:
• Bullish retest: ta.crossover(low, ma1) while trend = bull.
• Bearish retest: ta.crossunder(high, ma1) while trend = bear.
Only valid if at least 5 bars have passed since last retest.
When triggered, it stores bar index and price, draws diamonds, and extends a dotted line.
Level Clearing:
If current high > retest upper line (bearish case) or low < retest lower line (bullish case), that line is deleted (stops extending).
⯁ USAGE
Use the cloud color as the higher-level trend bias (aqua = long, orange = short).
Look for diamonds + dotted lines as pullback/retest zones where trend continuation may launch.
If a retest level holds and price rebounds, it strengthens confidence in the trend.
If a retest level is broken, treat it as a warning of weakening trend or possible reversal.
Experiment with MA Type (SMA vs. EMA, etc.) to align sensitivity with your asset or timeframe.
Adjust Length for faster flips on low timeframes or smoother signals on higher ones.
⯁ CONCLUSION
Specter Trend Cloud combines trend detection, volatility-adjusted shading, and retest visualization into a single tool. The gradient cloud provides instant clarity on direction, while diamonds and dotted retest levels give you tactical entry/retest zones that self-clean when invalidated. It’s a versatile trend-following and confirmation layer, adaptable across multiple assets and styles.
Chhatrapati Indicator by TradeNitiX (Nitin Hajare)⚔️ Chhatrapati Indicator by TradeNitiX
A precision-driven trading system built to capture strong trends and avoid market noise. It blends range filtering, momentum checks, and volatility-based risk control for clean, confident entries and exits.
🔍 Core Strategy Components
1. Range Filter – Trend Detection
2. RSI – Momentum Confirmation
3. ADX – Trend Strength Filter
4. ATR – Volatility-Based Risk Management
💎 Highlights – Chhatrapati Indicator
✔ Display Profit/Loss values above each candle
✅ Clear Buy/Sell Signals – No guesswork, just precision entries and exits
📊 High Accuracy – Filters out false signals using multi-layer confirmation
⚡ Beginner-Friendly – Simple logic, powerful results for all skill levels
🔥 Multi-Market Compatibility – Works seamlessly on Forex, crypto, indices, stocks
🎯 Volatility-Based Risk Control – ATR-driven SL/TP for realistic, dynamic targets
🧠 Smart Trend Detection – Combines range filtering with ADX for strong setups
💡 Live Trade Demos – Real-time examples to build trader confidence
📈 Momentum + Strength Filters – RSI + ADX combo avoids weak or choppy trades
🛡️ Risk-Reward Focused – Built-in 3:1 RR logic for disciplined growth
🚀 Tested & Trusted – Proven results across multiple market conditions
⚙️ Key Advantages of Chhatrapati Indicator
✅ Noise-Free Trend Detection – Filters weak moves, locks onto strong trends
📊 RSI + ADX Confirmation – Only trades with real momentum and strength
🎯 ATR-Based Risk Control – Smart SL/TP placement, adapts to volatility
⏱️ Multi-Timeframe Ready – Works for scalping, swing, and intraday setups
👁️ Visual Clarity – Clean signals, SL/TP zones, and trend markers
🎯 Ideal Users
✔ Trend Followers – Ride strong moves with confidence
✔ Swing Traders – Target medium-term setups with solid RR
✔ Scalpers – Quick, precise entries with minimal noise
✔ Algo Traders – Use alerts for automated execution
ICT Turtle Soup (Riz)The ICT Turtle Soup Complete System is an advanced implementation of the Inner Circle Trader's interpretation of the classic Turtle Soup pattern, designed to identify and trade liquidity sweeps at key market levels. This strategy capitalizes on the systematic stop-loss hunting behavior of institutional traders by detecting when price temporarily breaches significant support/resistance levels to trigger retail stop-losses, then quickly reverses direction.
Core Trading Logic
Liquidity Sweep Detection Method
The strategy monitors five critical liquidity pools where retail traders commonly place stop-loss orders:
⦁ Yesterday's High/Low: Previous daily session extremes
⦁ Daily High/Low: Rolling 20-day period extremes
⦁ 4-Hour High/Low: 30-period extremes on 4H timeframe
⦁ 1-Hour High/Low: 50-period extremes on hourly timeframe
⦁ Recent High/Low: Current timeframe extremes (20-40 bars based on trading mode)
Entry Signal Generation Process
Buy Signal (Sell-Side Liquidity Sweep):
1. Price penetrates below a key support level by a minimum threshold (5-15 ticks depending on signal quality settings)
2. The penetration bar must show strong rejection with at least 30-50% of the candle's range closing back above the swept level
3. Multi-timeframe confirmation checks for structure shift on lower timeframe (break of recent swing high)
4. Confluence scoring system evaluates 7 factors, requiring minimum 3 confirmations:
⦁ Liquidity sweep detected (weighted 2x)
⦁ Higher timeframe bullish market structure
⦁ Lower timeframe bullish break of structure
⦁ Bullish Fair Value Gap presence
⦁ Bullish Order Block formation
⦁ ICT Kill Zone timing alignment
Sell Signal (Buy-Side Liquidity Sweep):
Mirror opposite of buy signal logic, detecting sweeps above resistance levels with bearish rejection.
Risk Management & Position Sizing
Stop Loss Placement:
⦁ Calculated using ATR (Average True Range) multiplied by an adaptive factor
⦁ Base multipliers: Scalping (1.0x), Day Trading (1.5x), Swing Trading (2.0x)
⦁ Further adjusted by signal quality: Conservative (-20%), Balanced (0%), Aggressive (+20%)
⦁ Positioned beyond the liquidity sweep point to avoid re-sweeping
Take Profit Targets:
⦁ TP1: 2.0R (Risk-Reward ratio)
⦁ TP2: 3.5R
⦁ TP3: 5.0R
⦁ All levels rounded to tick precision for accurate order placement
Advanced Features & Filters
Multi-Timeframe Structure Analysis
The system performs top-down analysis across three timeframes:
⦁ Higher Timeframe (HTF): Determines primary trend bias
⦁ Medium Timeframe (MTF): Confirms intermediate structure
⦁ Lower Timeframe (LTF): Identifies precise entry triggers
ICT Kill Zones
Incorporates time-based filtering for optimal trading sessions:
⦁ Asian Session (8PM-12AM UTC)
⦁ London Session (2AM-5AM UTC)
⦁ New York Session (7AM-10AM UTC)
⦁ London Close (10AM-12PM UTC)
Smart Money Concepts Integration
⦁ Fair Value Gaps (FVG): Identifies and displays price inefficiencies that act as magnets
⦁ Order Blocks: Marks institutional accumulation/distribution zones
⦁ Mitigation Detection: Automatically removes FVGs and Order Blocks when price fills them
⦁ Duplicate Sweep Prevention: 10-bar lookback prevents multiple signals at same level
Adaptive Trading Modes
Three pre-configured modes automatically adjust all parameters:
⦁ Scalping: Tight stops, quick targets, 15-minute to 1-hour focus
⦁ Day Trading: Balanced approach, 4-hour to daily analysis
⦁ Swing Trading: Wide stops, extended targets, daily to weekly perspective
⦁ Custom Mode: Full manual control of all parameters
Signal Quality Management
⦁ Conservative: Requires 5/7 confluence factors, tighter sweep threshold (5 ticks), 50% minimum rejection
⦁ Balanced: Standard 3/7 confluence, moderate threshold (10 ticks), 30% rejection
⦁ Aggressive: Only 2/7 confluence needed, wider threshold (15 ticks), 20% rejection
Visual Components & Dashboard
Real-Time Information Panel
Displays current market conditions including:
⦁ Active trading mode and quality settings
⦁ Timeframe configuration (HTF/MTF/LTF)
⦁ Market bias from higher timeframes
⦁ Current kill zone status
⦁ Liquidity sweep detection status
⦁ Confluence scoring for both directions
⦁ Risk parameters and targets
Trade Visualization
⦁ Entry, stop-loss, and three take-profit levels with precise price labels
⦁ Automatic cleanup when targets are hit or new signals appear
⦁ Maximum of one active setup displayed for chart clarity
⦁ Color-coded boxes for Fair Value Gaps and Order Blocks
How to Use This Indicator
Recommended Timeframes
⦁ Scalping Mode: 1-minute to 5-minute charts
⦁ Day Trading Mode: 5-minute to 15-minute charts
⦁ Swing Trading Mode: 1-hour to 4-hour charts
Optimal Market Conditions
⦁ Works best in ranging or trending markets with clear support/resistance levels
⦁ Most effective during high-liquidity sessions (London/New York overlap)
⦁ Avoid using during major news events unless specifically targeting news-driven sweeps
Signal Interpretation
1. Wait for triangle signal (up/down) with confluence score
2. Verify the swept level shown in the dashboard
3. Confirm risk-reward ratios match your trading plan
4. Enter at market or set limit order at indicated entry level
5. Place stop-loss and take-profit orders at displayed levels
Customization Tips
⦁ Adjust Signal Quality based on market volatility (Conservative for volatile, Aggressive for quiet)
⦁ Modify sweep threshold if getting too many/few signals
⦁ Toggle individual liquidity levels based on their relevance to your timeframe
⦁ Use Kill Zone filter for session-specific trading
Risk Disclaimer
This indicator identifies potential trade setups based on liquidity sweep patterns but does not guarantee profitable outcomes. Past performance does not indicate future results. Always use proper risk management and never risk more than you can afford to lose. The indicator should be used as part of a comprehensive trading plan that includes your own analysis and risk tolerance assessment.
Low Volume Breakouts [Engr. Havery]Manipulation Happens in high volume candles, so when a Low Volume Breakout happens with the high volume candles. so we enter after the manipulation, breakout then retest
Adaptive Pivot Zones█ OVERVIEW
The "Adaptive Pivot Zones" indicator is a versatile tool designed to identify and visualize key pivot levels directly on the price chart. By detecting pivot highs and lows, the indicator calculates dynamic support and resistance zones based on user-defined levels (default: 0.382, 0.5, 0.618). These zones adapt to market volatility, providing traders with clear visual cues for potential reversal or continuation points. The indicator offers extensive customization options, such as adjusting colors, smoothing lines, and setting fill transparency, making it highly adaptable to various trading styles.
█ CONCEPTS
The "Adaptive Pivot Zones" indicator simplifies the identification of significant price levels by plotting three dynamic pivot lines, which can be smoothed to reduce market noise. The indicator dynamically changes the colors of the lines and fill zones based on price action, using bullish, bearish, or neutral colors to reflect market sentiment.
█ CALCULATIONS
The indicator relies on the following calculations:
- Pivot Detection: Pivot highs (ta.pivothigh) and pivot lows (ta.pivotlow) are identified using a user-defined pivot length (default: 10). Pivots represent significant price peaks and troughs. Higher pivot length values produce more stable levels but introduce a delay equal to the set value. For more aggressive strategies, the pivot length can be reduced.
- Pivot Levels: When both a pivot high and low are detected, the range between them is calculated (rng = drHigh - drLow). Three pivot levels are computed as:
Line 1: drLow + rng * pivotLevel1
Line 2: drLow + rng * pivotLevel2
Line 3: drLow + rng * pivotLevel3
- Smoothing: Pivot lines can be smoothed using a simple moving average (SMA) with a user-defined smoothing length (default: 1) to reduce noise and improve readability.
- Color Logic: Lines and fill zones are colored based on the price position relative to the pivot zones:
If the price is below the lowest pivot line, a bearish color is used (default: red).
If the price is above the highest pivot line, a bullish color is used (default: green).
If the price is within the pivot zones and the neutral color option is enabled, a neutral color is used (default: gray); otherwise, the previous color is retained.
- Fill Zones: The areas between pivot lines are filled with a user-defined transparency level (default: 80) to visually highlight support and resistance zones.
█ INDICATOR FEATURES
- Dynamic Pivot Lines: Three adaptive pivot lines (default levels: 0.382, 0.5, 0.618) are plotted on the price chart, adjusting to market volatility.
- Smoothing: User-defined smoothing length (default: 1) for pivot lines to reduce noise and enhance signal clarity.
- Dynamic Coloring: Lines and fill zones change color based on price action (bullish, bearish, or neutral when the price moves within the zone), reflecting market sentiment.
- Fill Zones: Transparent fills between pivot lines to visually highlight support and resistance zones.
- Customization: Options to adjust pivot length, pivot levels, smoothing, colors, transparency, and enable/disable neutral color logic.
█ HOW TO SET UP THE INDICATOR
- Add the "Adaptive Pivot Zones" indicator to your TradingView chart.
- Configure parameters in the settings, such as pivot length, pivot levels, smoothing length, and colors, to align with your trading strategy. Without smoothing, lines behave like levels; with smoothing, they act like bands. All three levels can be set to the same value to obtain a single level or a line behaving like a moving average derived from pivots.
- Enable or disable the neutral color option (for prices moving within the zone) and adjust fill transparency for optimal visualization.
- Adjust line thickness and style in the "Style" section to improve chart readability.
Example of bands – lines behave like support/resistance zones.
Example of a moving average derived from pivots – line behaves like a pivot-based MA.
█ HOW TO USE
Add the indicator to your chart, adjust the settings, and observe price interactions with the pivot lines and zones to identify potential trading opportunities. Key signals include:
- Price Interaction with Pivot Lines: When the price approaches or crosses a pivot line, it may indicate a potential support or resistance level. A bounce from a pivot line could signal a reversal, while a breakout might suggest trend continuation.
- Zone-Based Signals and Trend Line Usage: Price movement within or outside the filled zones can indicate market sentiment. Price below the lowest pivot line suggests bearish momentum, price above the highest pivot line suggests bullish momentum, and price within the zones may indicate consolidation. With higher pivot length values, the indicator can be used as a trend line, particularly during clear market movements.
- Color Changes: Shifts in line and fill colors (bullish, bearish, or neutral) provide visual cues about changing market conditions.
- Confirmation with Other Tools: Combine the indicator with tools like RSI or Bollinger Bands to validate signals and improve trade accuracy. For example, a buy signal from RSI in the oversold zone combined with a bounce from the lowest pivot line may indicate a strong entry point.
CuteWilly Oscillator_SKThis is a potent combination of Williams % R , EMA & SMA on Williams % R alongwith input from RSI as well. Gives very good picture of the trend, trend reversal and strength of the trend as well.
Delta Pro -> PROFABIGHI_CAPITAL🌟 Overview
This Delta Pro → PROFABIGHI_CAPITAL implements an advanced delta analysis framework combining price delta calculations with RSI-of-momentum analysis, volume-weighted directional pressure measurement, and cumulative volume delta tracking for comprehensive order flow assessment.
It provides Price Delta calculation with RSI-of-Delta analysis using nine advanced smoothing methodologies for momentum-of-momentum assessment , Volume Delta approximation using volume weighted by price direction for buying/selling pressure identification , Cumulative Volume Delta (CVD) tracking with dynamic histogram visualization for long-term order flow trends , and Dual-mode display system enabling toggle between price delta and RSI-of-delta visualization for professional market microstructure analysis.
🔧 Advanced Delta Pro Architecture Framework
- Professional market microstructure analysis system integrating price momentum with volume-weighted directional analysis and RSI-based momentum assessment
- Grouped Input Organization separating Price Delta Calculation, RSI of Price Delta Settings, Display Options, and Volume Delta Options for streamlined configuration
- Source Configuration Framework enabling close, open, high, low, or composite price inputs for flexible delta calculation adaptation
- Period Management System with adjustable lookback periods for price delta calculation affecting both momentum and volume delta analysis
- Overlay Integration Design optimized as separate pane indicator with volume formatting for dedicated delta analysis focus
- Professional Timeframe Support enabling multi-timeframe delta analysis for different market perspective assessments
📊 Price Delta Implementation Engine
- Period-Based Delta Calculation measuring price difference between current bar and specified periods ago for momentum foundation
- Configurable Source Selection supporting different price inputs for various delta calculation approaches and market analysis
- Null Value Protection ensuring continuous calculation through proper handling of undefined historical values and edge cases
- Dynamic Color Coding using teal for positive price delta and maroon for negative price delta with optimized transparency
- Conditional Display Logic showing price delta only when RSI-of-delta mode is disabled for clean visualization switching
- Zero Line Reference providing conditional zero line display specifically for price delta analysis context
📈 RSI-of-Delta Advanced Framework
- RSI Calculation on Delta Values applying traditional RSI methodology to price delta instead of direct price for momentum-of-momentum analysis
- Dual-Layer Smoothing System providing primary and secondary moving average smoothing with nine advanced smoothing methodologies
- Advanced Moving Average Support including SMA, EMA, WMA, HMA, RMA, LSMA, DEMA, TEMA, and VIDYA for comprehensive signal refinement
- VIDYA Volatility Adaptation implementing Variable Index Dynamic Average with configurable volatility lookback for market condition responsiveness
- Dual-MA Comparison Mode enabling crossover analysis between two independently smoothed RSI-of-delta lines for advanced signal generation
- RSI Level Configuration providing configurable overbought (70) and oversold (30) levels with middle line (50) reference
- Conditional Color System using performance-based coloring with green for bullish crossovers, red for bearish crossovers, and level-based coloring
🔄 Volume Delta Calculation Engine
- Price Direction Analysis using mathematical sign function to determine positive or negative price movement for volume weighting
- Volume Weighting System multiplying volume by price direction sign for approximated buying versus selling pressure measurement
- Sign Variable Management maintaining price direction state for consistent volume delta calculation across bars
- Null Value Handling ensuring continuous volume delta calculation through proper mathematical validation and error prevention
- Histogram Visualization displaying volume delta as bars with green for buying pressure and red for selling pressure indication
- Independent Display Control allowing users to show or hide volume delta independently of other components for focused analysis
📉 Cumulative Volume Delta (CVD) Framework
- Running Sum Calculation maintaining cumulative total of all volume delta values for long-term order flow trend identification
- Dynamic Color System comparing current CVD with previous bar to determine rising or falling cumulative pressure patterns
- Histogram Style Display presenting CVD as histogram bars for immediate visual impact assessment and trend recognition
- Trend Direction Visualization using green for rising CVD and red for falling CVD with transparency optimization for clarity
- Historical Comparison Logic implementing proper previous bar comparison with null value protection for accurate trend determination
- Independent Activation Control enabling selective CVD display for users focusing on specific aspects of order flow analysis
🎨 Comprehensive Display Control System
- Dual-Mode Visualization enabling toggle between Price Delta display and RSI-of-Delta display for different analytical perspectives
- Grouped Settings Organization separating Price Delta Calculation, RSI Settings, Display Options, and Volume Options for intuitive configuration
- Conditional Plotting Logic displaying components only when specifically enabled to optimize chart performance and visual clarity
- Professional Color Scheme using market-standard colors with appropriate transparency levels for clear visual hierarchy and readability
- Context-Sensitive Reference Lines showing relevant zero lines and RSI levels based on current display mode selection
- Raw RSI Background Display optionally showing unsmoothed RSI values when smoothing is applied for comparison analysis
⚙️ Advanced Moving Average Implementation
- Nine Smoothing Methodologies supporting SMA, EMA, WMA, HMA, RMA, LSMA, DEMA, TEMA, and VIDYA for comprehensive signal processing
- VIDYA Implementation using Variable Index Dynamic Average with volatility-based adaptation for market condition responsiveness
- DEMA and TEMA Calculations implementing Double and Triple Exponential Moving Averages for reduced lag and improved signal quality
- Hull Moving Average Support providing fast and smooth HMA calculations for trend-following applications with minimal lag
- Linear Regression Integration using LSMA for trend-based smoothing with mathematical precision and directional bias
- Fallback Logic Framework ensuring continuous operation when smoothing calculations encounter edge cases or insufficient data
- Dual-Layer Smoothing Architecture enabling independent configuration of primary and secondary smoothing for crossover analysis
📋 Professional Configuration Framework
- Price Delta Calculation Group organizing source selection and period configuration with detailed tooltips for user guidance
- RSI of Price Delta Settings providing comprehensive RSI configuration including period, smoothing options, and level settings
- Display Options Group centralizing visualization controls with clear explanations for mode switching and component selection
- Volume Delta Options Group separating volume-related settings for focused volume analysis configuration and control
- Input Validation Framework ensuring minimum period values and proper parameter selection for reliable calculations
- Tooltip Documentation System offering comprehensive explanations for each setting to guide proper indicator utilization
🔍 Mathematical Implementation Excellence
- Accurate Delta Calculations using proper arithmetic operations for price difference measurement over specified periods with precision
- RSI Mathematical Precision applying standard RSI formulation to delta values with proper gain/loss averaging methodology
- Sign Function Implementation correctly applying mathematical sign determination for price direction analysis and volume weighting
- Volume Multiplication Accuracy precisely weighting volume values by price direction for accurate delta approximation calculations
- Cumulative Sum Precision maintaining accurate running totals using Pine Script's cumulative function with proper initialization
- VIDYA Volatility Calculations implementing proper volatility-based adaptation with mathematical accuracy and edge case handling
- Advanced MA Mathematical Framework ensuring accurate DEMA, TEMA, and other complex moving average calculations
🎯 Market Microstructure Applications
- Order Flow Analysis identifying buying versus selling pressure through volume-weighted price direction assessment and trend analysis
- Momentum-of-Momentum Assessment using RSI-of-delta for identifying acceleration and deceleration in price momentum patterns
- Trend Identification Enhancement leveraging CVD trends to identify long-term accumulation or distribution patterns in market structure
- Volume Profile Integration combining volume data with price direction for comprehensive market microstructure analysis capabilities
- Support/Resistance Validation using delta analysis to confirm or challenge traditional technical analysis levels with order flow context
- Divergence Detection Framework comparing price movement with volume delta and RSI-of-delta patterns for reversal identification
⚡ Performance Optimization Features
- Conditional Plotting Logic displaying only enabled components to optimize chart rendering performance and reduce computational load
- Efficient Variable Management using appropriate variable scoping and initialization for minimal memory usage and optimal processing
- Optimized Color Assignment pre-calculating colors and applying transparency efficiently for smooth visual performance rendering
- Streamlined Calculation Sequences organizing mathematical operations for minimal redundant computation and optimal processing speed
- Dynamic Display Updates providing real-time delta values with immediate visual feedback without compromising performance
- Resource-Conscious Mode Switching activating calculations only when components are displayed to maintain indicator efficiency
🎨 Professional Visualization Framework
- Mode-Specific Color Coding using different color schemes for price delta mode versus RSI-of-delta mode for immediate context recognition
- Transparency Optimization applying appropriate transparency levels for clear visual hierarchy without overwhelming chart information
- Multiple Plot Style Integration implementing line plots for delta/RSI analysis and histogram plots for volume analysis
- Conditional Reference Lines displaying relevant zero lines and RSI levels based on current visualization mode selection
- Background Raw Data Display optionally showing unsmoothed RSI values when smoothing is applied for analytical comparison
- Professional Chart Integration maintaining separate pane layout with proper scaling and formatting for dedicated analysis focus
🔧 Technical Implementation Framework
- Variable Declaration Organization properly declaring color variables and state management variables for clean code structure and maintainability
- Function Library Implementation organizing VIDYA, DEMA, TEMA, and calculateMA functions for modular code architecture
- Calculation Sequence Optimization organizing price delta, RSI-of-delta, volume delta, and CVD calculations in logical processing order
- Plot Management System coordinating multiple plot statements with appropriate conditional logic for efficient rendering
- State Variable Management maintaining sign_price_change and other state variables for consistent calculation across bars
- Error Prevention Architecture incorporating null value checks and mathematical validation for reliable operation under all conditions
✅ Key Takeaways
- Advanced delta analysis framework combining price delta momentum with RSI-of-momentum assessment and volume-weighted directional pressure for comprehensive market microstructure evaluation
- Professional RSI-of-delta implementation with nine advanced smoothing methodologies including VIDYA, DEMA, and TEMA for sophisticated momentum analysis
- Comprehensive volume delta system with CVD tracking and dynamic histogram visualization showing cumulative buying/selling pressure trends over time
- Dual-mode display system enabling seamless switching between price delta visualization and RSI-of-delta analysis for different analytical perspectives
- Mathematical precision implementation using proper delta calculations, RSI formulations, and advanced moving average methodologies with performance optimization
- Professional configuration framework with grouped settings, detailed tooltips, and modular display controls for customized microstructure analysis
- Market applications supporting order flow analysis, momentum acceleration detection, trend identification, and divergence recognition for institutional trading approaches
Day Trader Trend & Triggers + Mini-Meter — v6**Day Trader Trend & Triggers — Intraday**
A fast, intraday trend and entry tool designed for **1m–15m charts**. It identifies **strong up/down trends** using:
* **MA ribbon:** EMA9 > EMA21 > EMA50 (or inverse) for directional bias.
* **Momentum:** RSI(50-line) and MACD histogram flips.
* **Volume & VWAP:** only confirms when volume expands above SMA(20) and price is above/below VWAP.
* **Higher-TF bias filter (optional):** e.g., align 1m/5m signals with the 15m trend.
When all align, the background highlights and the mini-meter shows UP/DOWN.
It also plots **entries**:
* **Pullbacks** to EMA21/EMA50 with a MACD re-cross,
* **Breakouts** of recent highs/lows on strong volume.
Built-in **alerts** for trend flips, pullbacks, and breakouts let you trade hands-off.
Best used on **5m for active day trades**, with 1m/3m for scalping and 15m for cleaner intraday swings.
S&P 500 Scanner
🚀 S&P 500 Scanner – TradingView Stock Screener for Reversals
Catch early bullish & bearish signals in S&P 500 stocks. Real-time TradingView scanner for scalping, day trading & swing trading with non-lagging alerts.
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👋 Meet Your New Trading Buddy
Looking for an intelligent S&P 500 scanner on TradingView?
Say hello to your new edge—the S&P 500 Stock Scanner, a professional tool for spotting bullish and bearish reversals in America’s biggest, most liquid companies.
No more doomscrolling 500 charts manually (seriously, who has time for that? 😅). Instead, get real-time buy/sell signals, alerts, and chart markers for scalping, day trading, and swing trading—all without lagging indicators.
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🔥 Why This S&P 500 Screener Rocks
Catch SP500 reversals early before the herd piles in.
Trade 500 blue-chip US stocks—Apple, Nvidia, Tesla, Microsoft, you name it.
Get “non-lagging” stock signals based on candlestick patterns, divergences, and momentum.
Works in real-time during U.S. market hours.
Perfect for anyone searching:
👉 “SP500 stock screener”
👉 “TradingView S&P 500 scanner”
👉 “candlestick reversal indicator”
👉 “day trading scanner US stocks”
Basically, if it’s in the top 500 US companies, this scanner will find the next move before your cousin’s “hot stock tip” shows up on WhatsApp. 📲😂
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📊 What is the S&P 500 Anyway?
The S&P 500 Index is the gold standard of U.S. equities. It tracks 500 of the strongest companies, representing over $50 trillion in market cap (yes, trillion with a T 💰).
From tech beasts like Apple 🍏 and Nvidia 💻 to financial powerhouses like JPMorgan 🏦 and Berkshire Hathaway 🐂, these are the stocks that move global markets.
Our S&P 500 Scanner analyzes them all—broken into 20 groups with 25 stocks each—giving you “bullish/bearish signals S&P500” on every timeframe:
⏱ Scalpers → 1m–5m charts
📉 Day traders → 15m–1h charts
📈 Swing traders → Daily/Weekly setups
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⚙️ How the Scanner Works
✅ Hard-Coded Groups → 20 groups × 25 stocks = full SP500 coverage.
✅ Table View → See live signals:
🟢 Green 1 = bullish reversal
🔴 Red 2 = bearish reversal
✅ X Markers on Charts → Green below for buys, red above for sells.
✅ Auto Support/Resistance → Confidence boosters for entries.
✅ 50+ Pattern Detection → Hammers, dojis, engulfing, divergences, exhaustion.
What are the Rules of using it? Very Simple:
Long = enter above Green X ✅
Short = enter below Red X ❌
Stop loss = previous candle's close 🛑
Target = 2–7% or until opposite signal appears 🎯
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🚨 Group-Level Alerts = Less Screen Time
Set one alert per group and relax. When you set up alert on even 1 stock of any Group, you will get notified of reversal Signal developing in any other stock too which is part of this group, you’ll know instantly— so it is ideal for day trading alerts on S&P500 stocks as well as for swing trading.
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🎯 Why Traders Love It
Time Saver ⏳: No need to scan 500 charts.
Early Bird Advantage 🐦: Enter before lagging indicators catch up.
High Liquidity 💧: Trade top U.S. stocks with seamless execution.
Flexible Strategies 🔀: Scalping, intraday, or swing.
Custom Alerts 🔔: Never miss bullish/bearish setups again.
If you’ve ever searched “early entry stock scanner TradingView” or “best SP500 reversal screener”, this is built for you.
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📈 Trading Strategies Made Easy
Scalping Tool: Fast moves on 1–5m charts.
Day Trading Indicator: Intraday reversals during U.S. hours.
Swing Trading Scanner: Daily setups with trend continuation.
Adapt to your style and trade smarter, not harder.
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🔍 Optimized For Traders Searching:
“S&P 500 stock screener TradingView”
“real-time reversal alerts SP500”
“candlestick pattern scanner US stocks”
“best day trading indicator SP500”
“non-lagging SP500 trading strategy”
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🚀 Ready to Scan Like a Pro?
✅ Load the S&P 500 Scanner on your TradingView charts today.
✅ Catch reversals early, trade with confidence, and get a head starts vis-a-vis lagging indicators 🥊.
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⚠️ Disclaimer
✅ This indicator provides technical trading signals based on price action, candlestick patterns, and momentum.
✅ It does not replace your financial advisor. 📉📈
✅ Use it as a technical edge, while doing your own fundamental research or following guidance from your advisor for long-term decisions.
Day Trader Trend & Triggers — v6**Day Trader Trend & Triggers — Intraday**
A fast, intraday trend and entry tool designed for **1m–15m charts**. It identifies **strong up/down trends** using:
* **MA ribbon:** EMA9 > EMA21 > EMA50 (or inverse) for directional bias.
* **Momentum:** RSI(50-line) and MACD histogram flips.
* **Volume & VWAP:** only confirms when volume expands above SMA(20) and price is above/below VWAP.
* **Higher-TF bias filter (optional):** e.g., align 1m/5m signals with the 15m trend.
When all align, the background highlights and the mini-meter shows UP/DOWN.
It also plots **entries**:
* **Pullbacks** to EMA21/EMA50 with a MACD re-cross,
* **Breakouts** of recent highs/lows on strong volume.
Built-in **alerts** for trend flips, pullbacks, and breakouts let you trade hands-off.
Best used on **5m for active day trades**, with 1m/3m for scalping and 15m for cleaner intraday swings.
Strong Trend Suite — Clean v6A clean, rules-based trend tool for swing traders. It identifies strong up/down trends by syncing five pillars:
Trend structure: price above/below a MA stack (EMA20 > SMA50 > EMA200 for up; inverse for down).
Momentum: RSI (50 line) and MACD (line > signal and side of zero).
Trend strength: ADX above a threshold and rising.
Volume confirmation: OBV vs its short MA (accumulation/distribution).
Optional higher-TF bias: weekly filter to avoid fighting bigger flows.
When all align, the background tints and the mini-meter flips green/red (UP/DOWN).
It also marks entry cues: pullbacks to EMA20/SMA50 with a MACD re-cross, or breakouts of recent highs/lows on volume.
Built-in alerts for strong trend, pullback, and breakout keep you hands-off; use “Once per bar close” on the Daily chart for best signal quality.
Short Monday , Long TuesdayKillaxbt create this concept. Often BTC create this pattern:
Monday Short ✔️
Tuesday Long ✔️
Wednesday... Lets give it a test during Asia. Just remember who shared this first. 😉
Thursday is pivot. Depending on the narrative leading into thursday... we determine direction. ⚡️
This concept is graphic, he show where you are and where we can go. He give you a plan for the week
Concept : @killaxbt
Code by @paulbri
Mean Reversion Probability Zones [BigBeluga]🔵 OVERVIEW
The Mean Reversion Probability Zones indicator measures the likelihood of price reverting back toward its mean . By analyzing oscillator dynamics (RSI, MFI, or Stochastic), it calculates probability zones both above and below the oscillator. These zones are visualized as histograms, colored regions on the main chart, and a compact dashboard, helping traders spot when the market is statistically stretched and more likely to revert.
🔵 CONCEPTS
Mean Reversion : The tendency of price to return to its average after significant extensions.
Oscillator-Based Analysis : Uses RSI, MFI, or Stochastic as the base signal for detecting overextension.
Probability Model : The probability of reversion is computed using three factors:
Whether the oscillator is rising or declining.
Whether the oscillator is above or below user-defined thresholds.
The oscillator’s actual value (distance from equilibrium).
Dual-Zone Output :
Upper histogram = probability of downward mean reversion.
Lower histogram = probability of upward mean reversion.
Historical Extremes : The dashboard highlights the recent maximum probability values for both upward and downward scenarios.
🔵 FEATURES
Oscillator Choice : Switch between RSI, MFI, and Stochastic.
Customizable Zones : User-defined upper/lower thresholds with independent colors.
Probability Histograms :
Above oscillator → down reversion probability.
Below oscillator → up reversion probability.
Colored Gradient Zones on Chart : Visual overlays showing where mean reversion probabilities are strongest.
Probability Labels : Percentages displayed next to histogram values for clarity.
Dashboard : Compact table in the corner showing the recent maximum probabilities for both upward and downward mean reversion.
Overlay Compatibility : Works in both chart pane and sub-pane with oscillators.
🔵 HOW TO USE
Set Oscillator : Choose RSI, MFI, or Stochastic depending on your strategy style.
Adjust Zones : Define upper/lower bounds for when oscillator values indicate strong overbought/oversold conditions.
Interpret Histograms :
Orange (upper) histogram → higher chance of a pullback/downward mean reversion.
Green (lower) histogram → higher chance of upward reversion/bounce.
Watch Gradient Zones : On the main chart, shaded areas highlight where probability of mean reversion is elevated.
Consult Dashboard : Use the “Recent MAX” values to understand how strong recent reversion probabilities have been in either direction.
Confluence Strategy : Combine with support/resistance, order flow, or trend filters to avoid counter-trend trades.
🔵 CONCLUSION
The Mean Reversion Probability Zones provides traders with an advanced way to quantify and visualize mean reversion opportunities. By blending oscillator momentum, threshold logic, and probability calculations, it highlights when markets are statistically stretched and primed for reversal. Whether you are a contrarian trader or simply looking for exhaustion signals to fade, this tool helps bring structure and clarity to mean reversion setups.
Pairs Trading Scanner [BackQuant]Pairs Trading Scanner
What it is
This scanner analyzes the relationship between your chart symbol and a chosen pair symbol in real time. It builds a normalized “spread” between them, tracks how tightly they move together (correlation), converts the spread into a Z-Score (how far from typical it is), and then prints clear LONG / SHORT / EXIT prompts plus an at-a-glance dashboard with the numbers that matter.
Why pairs at all?
Markets co-move. When two assets are statistically related, their relationship (the spread) tends to oscillate around a mean.
Pairs trading doesn’t require calling overall market direction you trade the relative mispricing between two instruments.
This scanner gives you a robust, visual way to find those dislocations, size their significance, and structure the trade.
How it works (plain English)
Step 1 Pick a partner: Select the Pair Symbol to compare against your chart symbol. The tool fetches synchronized prices for both.
Step 2 Build a spread: Choose a Spread Method that defines “relative value” (e.g., Log Spread, Price Ratio, Return Difference, Price Difference). Each lens highlights a different flavor of divergence.
Step 3 Validate relationship: A rolling Correlation checks if the pair is moving together enough to be tradable. If correlation is weak, the scanner stands down.
Step 4 Standardize & score: The spread is normalized (mean & variability over a lookback) to form a Z-Score . Large absolute Z means “stretched,” small means “near fair.”
Step 5 Signals: When the Z-Score crosses user-defined thresholds with sufficient correlation , entries print:
LONG = long chart symbol / short pair symbol,
SHORT = short chart symbol / long pair symbol,
EXIT = mean reversion into the exit zone or correlation failure.
Core concepts (the three pillars)
Spread Method Your definition of “distance” between the two series.
Guidance:
Log Spread: Focuses on proportional differences; robust when prices live on different scales.
Price Ratio: Classic relative value; good when you care about “X per Y.”
Return Difference: Emphasizes recent performance gaps; nimble for momentum-to-mean plays.
Price Difference: Straight subtraction; intuitive for similar-scale assets (e.g., two ETFs).
Correlation A rolling score of co-movement. The scanner requires it to be above your Min Correlation before acting, so you’re not trading random divergence.
Z-Score “How abnormal is today’s spread?” Positive = chart richer than pair; negative = cheaper. Thresholds define entries/exits with transparent, statistical context.
What you’ll see on the chart
Correlation plot (blue line) with a dashed Min Correlation guide. Above the line = green zone for signals; below = hands off.
Z-Score plot (white line) with colored, dashed Entry bands and dotted Exit bands. Zero line for mean.
Normalized spread (yellow) for a quick “shape read” of recent divergence swings.
Signal markers :
LONG (green label) when Z < –Entry and corr OK,
SHORT (red label) when Z > +Entry and corr OK,
EXIT (gray label) when Z returns inside the Exit band or correlation drops below the floor.
Background tint for active state (faint green for long-spread stance, faint red for short-spread stance).
The two built-in dashboards
Statistics Table (top-right)
Pair Symbol Your chosen partner.
Correlation Live value vs. your minimum.
Z-Score How stretched the spread is now.
Current / Pair Prices Real-time anchors.
Signal State NEUTRAL / LONG / SHORT.
Price Ratio Context for ratio-style setups.
Analysis Table (bottom-right)
Avg Correlation Typical co-movement level over your window.
Max |Z| The recent extremes of dislocation.
Spread Volatility How “lively” the spread has been.
Trade Signal A human-readable prompt (e.g., “LONG A / SHORT B” or “NO TRADE” / “LOW CORRELATION”).
Risk Level LOW / MEDIUM / HIGH based on current stretch (absolute Z).
Signals logic (plain English)
Entry (LONG): The spread is unusually negative (chart cheaper vs pair) and correlation is healthy. Expect mean reversion upward in the spread: long chart, short pair.
Entry (SHORT): The spread is unusually positive (chart richer vs pair) and correlation is healthy. Expect mean reversion downward in the spread: short chart, long pair.
Exit: The spread relaxes back toward normal (inside your exit band), or correlation deteriorates (relationship no longer trusted).
A quick, repeatable workflow
1) Choose your pair in context (same sector/theme or known macro link). Think: “Do these two plausibly co-move?”
2) Pick a spread lens that matches your narrative (ratio for relative value, returns for short-term performance gaps, etc.).
3) Confirm correlation is above your floor no corr, no trade.
4) Wait for a stretch (Z beyond Entry band) and a printed LONG / SHORT .
5) Manage to the mean (EXIT band) or correlation failure; let the scanners’ state/labels keep you honest.
Settings that matter (and why)
Spread Method Defines the “mispricing” you care about.
Correlation Period Longer = steadier regime read, shorter = snappier to regime change.
Z-Score Period The window that defines “normal” for the spread; it sets the yardstick.
Use Percentage Returns Normalizes series when using return-based logic; keep on for mixed-scale assets.
Entry / Exit Thresholds Set your stretch and your target reversion zone. Wider entries = rarer but stronger signals.
Minimum Correlation The gatekeeper. Raising it favors quality over quantity.
Choosing pairs (practical cheat sheet)
Same family: two index ETFs, two oil-linked names, two gold miners, two L1 tokens.
Hedge & proxy: stock vs. sector ETF, BTC vs. BTC index, WTI vs. energy ETF.
Cross-venue or cross-listing: instruments that are functionally the same exposure but price differently intraday.
Reading the cues like a pro
Divergence shape: The yellow normalized spread helps you see rhythm fast spike and snap-back versus slow grind.
Corr-first discipline: Don’t fight the “Min Correlation” line. Good pairs trading starts with a relationship you can trust.
Exit humility: When Z re-centers, let the EXIT do its job. The edge is the journey to the mean, not overstaying it.
Frequently asked (quick answers)
“Long/Short means what exactly?”
LONG = long the chart symbol and short the pair symbol.
SHORT = short the chart symbol and long the pair symbol.
“Do I need same price scales?” No. The spread methods normalize in different ways; choose the one that fits your use case (log/ratio are great for mixed scales).
“What if correlation falls mid-trade?” The scanner will neutralize the state and print EXIT . Relationship first; trade second.
Field notes & patterns
Snap-back days: After a one-sided session, return-difference spreads often flag cleaner intraday mean reversions.
Macro rotations: Ratio spreads shine during sector re-weights (e.g., value vs. growth ETFs); look for steady corr + elevated |Z|.
Event bleed-through: If one symbol reacts to news and its partner lags, Z often flags a high-quality, short-horizon re-centering.
Display controls at a glance
Show Statistics Table Live state & key numbers, top-right.
Show Analysis Table Context/risk read, bottom-right.
Show Correlation / Spread / Z-Score Toggle the sub-charts you want visible.
Show Entry/Exit Signals Turn markers on/off as needed.
Coloring Adjust Long/Short/Neutral and correlation line colors to match your theme.
Alerts (ready to route to your workflow)
Pairs Long Entry Z falls through the long threshold with correlation above minimum.
Pairs Short Entry Z rises through the short threshold with correlation above minimum.
Pairs Trade Exit Z returns to neutral or the relationship fails your correlation floor.
Correlation Breakdown Rolling correlation crosses your minimum; relationship caution.
Final notes
The scanner is designed to keep you systematic: require relationship (correlation), quantify dislocation (Z-Score), act when stretched, stand down when it normalizes or the relationship degrades. It’s a full, visual loop for relative-value trading that stays out of your way when it should and gets loud only when the numbers line up.
