LIOR 41 SETTEMBRE 025⚡️ LIOR September 2025 – The New Generation of Algorithmic Trading ⚡️
LIOR is not just another indicator that paints your chart: it’s a trading operating system that turns market chaos into clear and powerful decisions.
✅ LIOR POWER – one single cell that instantly tells you if the market is BUY or SELL, with no noise or useless interpretation.
✅ Momentum Arrows – two independent arrows, built on 6 momentum indicators, revealing whether the trend’s strength is real or already shaking.
✅ LIOR ENGAGE – the ultimate confirmation: 🚀 when the push is strong, 💥 when it’s explosive.
With LIOR you get:
• A clean quantitative vision, without wasting hours watching moving averages or counting signals.
• A light but lethal structure, designed to anticipate key market turning points.
• Perfect integration with subjective analysis like GAN Fan and Pivot Points.
📊 Why choose LIOR?
Because it cuts the noise and leaves you only what matters: dominant trend + momentum confirmation + engage signal.
Nothing more. Nothing less.
🔑 If you’re looking for a tool to take your trading from doubt to clarity, LIOR is the answer.
Bands and Channels
JDB MA Breakout IndicatorAll credit goes to JDB_Trading . Follow on X.
This indicator visualises one of his strategies.
1. Detecting the dominant moving average.
2. Price is supposed to be at least 70 candles below it for buy signals/40 above for sells.
3. detects break on dominant MA + BB 20,2.
4. Used on W & M timeframes.
5. alerts possible.
AI - Gaussian Channel Strategy AI – Gaussian Channel Strategy is a long-only swing trading strategy designed for Bitcoin and other assets on daily charts. It combines an adaptive Gaussian Channel with Supertrend and Stochastic RSI filters to identify potential bullish breakouts or pullback entries. The channel defines trend direction and volatility, while the Stochastic RSI provides momentum confirmation. Positions are opened only when the price closes above the channel’s upper band under favorable momentum conditions, and are closed when the price crosses back below the band.
This script is intended for educational and research purposes. Parameters such as poles, period length, ATR factor, and RSI settings can be adjusted to fit different markets and timeframes.
Disclaimer: This script does not guarantee profits and should not be considered financial advice. Past performance is not indicative of future results. Trading involves risk, and you are solely responsible for your own decisions and outcomes.
Premier Stochastic Oscillator [LazyBear, V2]This script builds on the well-known Premier Stochastic Oscillator (PSO) originally introduced by LazyBear, and adds a Z-Score extension to provide statistical interpretation of momentum extremes.
Features
Premier Stochastic Core: A smoothed stochastic calculation that highlights bullish and bearish momentum phases.
Z-Score Mapping: The PSO values are standardized into Z-Scores (from –3 to +3), quantifying the degree of momentum stretch.
Positive / Negative Z-Scores:
Positive Z values suggest momentum strength that can align with accumulation or favorable buying conditions.
Negative Z values indicate stronger bearish pressure, often aligning with selling or distribution conditions.
On-Chart Label: The current Z-Score is displayed on the latest bar for quick reference.
How to Use
Momentum Confirmation: Use the oscillator to confirm whether bullish or bearish momentum is intensifying.
Overextended Conditions: Extreme Z-Scores (±2 or beyond) highlight statistically stretched conditions, often preceding reversions.
Strategic Integration: Best applied in confluence with trend tools or higher-timeframe filters; not a standalone trading signal.
Originality
Unlike the standard PSO, this version:
Adds a Z-Score framework for objective statistical scaling.
Provides real-time labeling of Z values for clarity.
Extends the classic oscillator into a tool for both momentum detection and mean-reversion context.
350DMA bands + Z-score (V2)This script extends the classic 350-day moving average (350DMA) by building dynamic valuation bands and a Z-Score framework to evaluate how far price deviates from its long-term mean.
Features
350DMA Anchor: Uses the 350-day simple moving average as the baseline reference.
Fixed Multipliers: Key bands plotted at ×0.625, ×1.0, ×1.6, ×2.0, and ×2.5 of the 350DMA — historically significant levels for cycle analysis.
Z-Score Mapping: Price is converted into a Z-Score on a scale from +2 (deep undervaluation) to –2 (extreme overvaluation), using log-space interpolation for accuracy.
Custom Display: HUD panel and on-chart label show the current Z-Score in real time.
Clamp Option: Users can toggle between raw Z values or capped values (±2).
How to Use
Valuation Context: The 350DMA is often considered a “fair value” anchor; large deviations identify cycles of under- or over-valuation.
Z-Score Insight:
Positive Z values suggest favorable accumulation zones where price is below long-term average.
Negative Z values highlight zones of stretched valuation, often associated with distribution or profit-taking.
Strategic Application: This is not a standalone trading system — it works best in confluence with other indicators, cycle models, or macro analysis.
Originality
Unlike a simple DMA overlay, this script:
Provides multiple cycle-based bands derived from the 350DMA.
Applies a logarithmic Z-Score mapping for more precise long-term scaling.
Adds an integrated HUD and labeling system for quick interpretation.
Yearly VWAP with Z-Score V2This script extends the traditional Volume Weighted Average Price (VWAP) by applying it to yearly sessions (with a customizable start month) and combining it with a Z-Score framework to standardize price deviations from VWAP.
Features
Yearly VWAP: Automatically resets at the selected month, making it possible to align VWAP with fiscal or seasonal cycles (e.g., June–May).
Volatility-Weighted Bands: Standard deviation is calculated using volume-weighted price variance, creating adaptive upper and lower bands around VWAP.
Z-Score Calculation: Converts price distance from VWAP into standardized scores, ranging from +2.5 to –2.5. This enables statistical interpretation of whether price is trading at fair value, extended, or oversold relative to VWAP.
Custom Session Control: Input allows users to change the yearly anchor month.
On-Chart Display: VWAP and bands are plotted, with a live Z-Score label shown on the latest bar.
How to Use
Fair Value Reference: VWAP reflects the average price weighted by volume over the yearly session — a natural equilibrium point.
Overbought / Oversold Detection: Extreme Z-Score readings (±2 or beyond) highlight when price is stretched relative to VWAP.
Cycle Analysis: Resetting VWAP by custom months allows studying market behavior over fiscal years, seasons, or custom trading cycles.
Part of a Broader Toolkit: This script is not a standalone trading system. It works best when aggregated with other indicators, confluence factors, or a structured strategy.
Originality
Unlike a standard VWAP, this version:
Uses yearly anchoring with custom start month instead of session/day anchoring.
Adds volume-weighted standard deviation bands for statistical context.
Translates distance into a Z-Score scale for objective overbought/oversold assessment.
Positive Z-Score values indicate zones where price is positioned favorably for accumulation or potential buys, while negative values highlight areas more suitable for distribution or profit-taking — always best used in confluence with other tools rather than as a standalone signal
triple Keltner Channels with Z-Score V2This script expands on the classic Keltner Channel by plotting three adaptive volatility bands around an EMA baseline and introducing a dynamic Z-Score calculation to quantify price positioning within or beyond those bands.
Features
Three Keltner Channels:
Inner Channel at ×2 ATR
Outer Channel at ×3 ATR
Extended Channel at ×3.5 ATR
Customizable Inputs: EMA length, ATR length, and multipliers can be adjusted to suit different market conditions or asset volatility.
Z-Score Integration: Converts price location relative to the channels into standardized scores (from +2.5 to –2.5). Positive Z indicate a good value/zone to buy while negative one is the contrary (do not use it alone, use it with other indicators )
This provides a statistical lens for identifying overextended, neutral, or mean-reverting conditions.
Visual Clarity: Channel fills highlight volatility zones, while an on-chart label dynamically displays the current Z-Score.
How to Use
Overbought/Oversold Signals: Extreme Z-Score readings (±2 and beyond) suggest stretched conditions that often precede pullbacks or reversions.
Mean Reversion vs Breakout: Traders can assess whether price is likely to revert to the mean (EMA) or sustain momentum beyond outer bands.
Originality
Unlike a standard Keltner Channel, this one:
Uses three progressively wider ATR multiples for deeper volatility mapping.
Adds a Z-Score framework to statistically measure price displacement.
Provides a visual + numerical hybrid output (bands + live Z-Score label).
use only on 1W timeframe
S&P500 Net Issues - Block 1Description:
This indicator calculates and plots net advancers minus decliners for 13 predefined blocks of S&P 500 stocks. Each block represents a sector or a selected subset of stocks.
Features:
Shows net issues (advancers – decliners) for each block separately.
13 blocks plotted with distinct colors for easy identification.
Fully compatible with 1-minute, intraday, or higher timeframe charts.
Ideal for identifying sector momentum and market breadth trends.
Can be used standalone or combined with other indicators such as market indices (e.g., S&P 500 futures or TICK).
Usage:
Green/red/blue/orange lines represent different blocks; positive values indicate more advancing stocks than declining, negative values indicate more declining stocks.
Best viewed on intraday charts for short-term market breadth analysis.
Disclaimer:
This indicator is for educational and analytical purposes only. Not a buy/sell signal. Use proper risk management and verify data before trading.
GUSIGUSI Free — Adaptive Bitcoin Cycle Risk (0–100)
What it does
GUSI Free converts multiple cycle-relevant metrics into a single 0–100 risk score for Bitcoin. Instead of static thresholds (which tend to degrade across cycles), GUSI uses cycle-aware, time-varying trigger levels and long-horizon normalization to keep signals meaningful as the market matures. The panel shows the composite line plus actionable trigger levels that highlight overheated vs. deep-value conditions.
What’s new vs. typical versions
Decreasing/Sloped trigger functions: Each metric is evaluated against non-horizontal, time-adjusted thresholds so that tops don’t rely on fixed numbers that become obsolete as adoption and liquidity evolve.
Long-term normalization: Outlier-resistant smoothing and z-score style lookbacks reduce distortion from short, violent swings.
Composite risk mapping: Modernized component signals are transformed to a unit scale and merged into one interpretable 0–100 metric—clearer to read, harder to misread.
How the model is built (proprietary, modernized components)
Each element below is a modified version of a familiar idea, adapted for cycle drift and volatility profile changes:
Logarithmic MACD (LMACD): Computed in log-return space with Ehlers-style smoothing, evaluated against down-sloping top and up-tilting bottom bands.
MVRV-Z (regression-guided): Market-to-realized premium mapped to cycle-aware upper/lower bands that decline/rise over time rather than sit flat.
NUPL / NUPL-Z blend: Tops assessed with a declining NUPL threshold, bottoms with dynamic z-score normalization, then fused to a single risk contribution.
Puell Multiple (log-decay): Issuance revenue multiple measured against log-decaying top and gently rising bottom references.
Weekly RSI (bottom context): A weekly momentum filter contributes only to downside risk context to avoid double-counting tops.
Risk-metric construction (0–100)
Each component is scaled between its cycle-aware bottom and top reference, producing a bounded unit risk.
Internally weighted components are combined into one composite, then scaled to 0–100.
The panel overlays trigger levels commonly used by GUSI users:
Around 97 → historically consistent with top-risk environments.
Around 2.5 → historically consistent with deep accumulation conditions.
Background highlights and labels make these zones explicit, so the chart conveys state (distribution/accumulation) at a glance.
Intended chart context
Use on INDEX:BTCUSD, 1D timeframe for the designed behavior.
Scope & realism
This is an analytical risk model, not a promise of returns. Historical alignment with cycle extremes does not guarantee future outcomes. Always combine with independent risk management and confirm on-chain/data availability.
GUSI BasicGUSI Basic — Adaptive Bitcoin Cycle Risk
What it does
GUSI Basic calculates a 0–100 risk score for Bitcoin cycles using a blend of adapted on-chain and market signals. Unlike traditional versions of NUPL, MVRV, or Puell Multiple that rely on static thresholds, GUSI introduces sloped trigger lines and long-term normalization techniques. This makes the logic responsive to Bitcoin’s structural changes over time, keeping signals relevant across multiple cycles.
Key features
Dynamic thresholds: Instead of fixed horizontal levels, each signal uses sloped functions that decrease or increase gradually, reflecting the evolving maturity of the Bitcoin market.
Noise reduction: Long-term smoothing and z-score normalization help filter out extreme volatility and short-term distortions.
Composite score: Multiple proprietary adaptations are merged into a single, intuitive risk scale that simplifies interpretation without oversimplifying the data.
Component transparency: Users can enable or disable individual elements to see how each contributes to the composite model.
Signals included
Logarithmic MACD with cycle-aware thresholds
MVRV-Z Regression with declining bands
Net Unrealized Profit/Loss with z-score normalization
Puell Multiple with logarithmic decay
Weekly RSI Momentum filter for cycle lows
How to use
Apply on INDEX:BTCUSD, 1D chart for the intended view.
Readings near 97 have historically aligned with overheated market conditions.
Readings near 2.5 have marked deep accumulation zones.
Labels and background colors provide direct visual cues for both accumulation and distribution phases.
Summary
GUSI Basic adapts classic on-chain metrics to today’s Bitcoin market. By replacing static thresholds with sloped functions and normalization, it provides a composite view that evolves with each cycle—offering traders a clearer, cycle-aware perspective.
GUSI ProGUSI — Adaptive Bitcoin Cycle Risk Model
Most on-chain metrics published on TradingView — such as NUPL, MVRV, or Puell Multiple — were once reliable in past cycles but have lost accuracy. The reason is simple: their trigger levels are static, while Bitcoin’s market structure changes over time. Tops have formed lower each cycle, yet the traditional horizontal thresholds remain unchanged.
What GUSI does differently:
It introduces sloped trigger functions that decrease over time, adapting each metric to Bitcoin’s maturing market.
It applies long-term normalization methods (smoothing and z-score lookups) to reduce distortion from short-term volatility and extreme outliers.
It only includes signals that remain valid across all Bitcoin cycles since 2011, discarding dozens of popular on-chain ideas that fail even after adjustment.
How GUSI is built:
GUSI is not just a mashup of indicators. Each component is a proprietary, modified version of a known on-chain signal:
Logarithmic MACD with declining trigger bands
MVRV-Z Score Regression with cycle-aware slopes
Net Unrealized Profit/Loss Ratio normalized with dynamic z-scores
Puell Multiple with logarithmic decay
Weekly RSI momentum filter for bottoms
Optional Pi Cycle Top logic with sloped moving averages
These are combined into a composite risk scoring system (0–100). Every signal contributes to the score according to user-defined weights, and each can be toggled on/off. The end result is a flexible model that adapts to long-term changes in Bitcoin’s cycles while staying transparent in its logic.
How to use it:
Scores near 97 indicate historically high-risk conditions (cycle tops).
Scores near 2.5 highlight deep accumulation zones (cycle bottoms).
Background colors and labels make the conditions clear, and built-in alerts let you automate your strategy.
GUSI is designed for the INDEX:BTCUSD 1D chart and works best when viewed in that context.
In short: GUSI makes classic on-chain indicators relevant again by adapting them to Bitcoin’s evolving market cycles. Instead of relying on static thresholds that stop working over time, it introduces dynamic slopes, normalization, and a weighted composite framework that traders can adjust themselves.
For explanations, customization guides, and support, visit gusi-signal.com.
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.
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.
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”
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“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.
Financial Success Indicator Financial Success Indicator (Guiding with Fundamental Analysis from Macro to Micro)
16H Bollinger BandsThis indicator plots Bollinger Bands based on the 16-hour timeframe, regardless of the chart’s current timeframe.
📌 Features:
Uses a higher-timeframe (16H / 960 minutes) SMA as the basis
Upper and lower bands calculated with standard deviation
Adjustable parameters: length, standard deviation multiplier, and source
Works even when applied on lower timeframes (e.g. 1H, 15m), allowing you to overlay higher-timeframe volatility zones on intraday charts
📌 Use cases:
Identify major support and resistance zones from a higher timeframe
Filter out market noise by relying on broader 16H volatility structure
Combine with lower-timeframe signals for more accurate entries and exits
Ross-Style Momentum — StudyRoss-Style Momentum — Study
This indicator is designed to identify high-probability breakout setups inspired by Ross Cameron’s momentum trading style. It combines multiple filters and confirmations to highlight strong long opportunities, while giving traders full control over visibility and thresholds.
Core Features:
Price Range Filter: Only signals when price is between a defined min/max range (ideal for small-cap momentum).
VWAP Alignment: Ensures trades are biased to the long side only when price is above VWAP (optional).
MACD Momentum Check: Requires a fresh MACD bullish crossover within a user-defined lookback.
RSI & ATR Filters: Prevents chasing overextended moves (RSI ceiling) and ignores low-volatility tickers (ATR floor).
Relative Volume (RVOL): Confirms unusual trading activity with minimum RVOL thresholds.
Breakout & Volume Spike: Detects flat-top/base breakouts with volume expansion.
Higher Lows Option: Optional requirement for a constructive higher-lows pattern before breakout.
Float Filter: User-provided float value to avoid large-float stocks if desired.
Visual Tools:
Optional VWAP, Base High/Low, and RVOL plots.
Long setup markers (green labels under qualifying bars).
Background highlight when all conditions align.
Real-time dashboard (top-right) showing pass/fail status of each filter.
Alerts:
Triggers an alert when a full long setup condition is met.
This study does not place trades; it is intended as a signal and confirmation tool for discretionary traders who want to visually validate Ross-style momentum breakout conditions.
5M POIPOI Indicator helps traders identify high-probability price zones where market reactions are likely to occur. These zones, often linked with supply and demand imbalances, institutional orders, or liquidity areas, highlight potential reversal or continuation points. The tool is designed to support smart money concepts (SMC) and price action strategies by marking key regions of interest on the chart.
Use it to:
Spot demand & supply zones
Anticipate price reversals or continuations
Combine with market structure and confirmations for higher accuracy
This indicator is not financial advice. Always use with proper risk management and in combination with your trading plan.
Custom High and Low (W,D,4,1)Custom High and Low (W,D,4,1)
can choose Weekly Daily 4h 1hr Previous High and Low.
