Wskaźniki i strategie
CTR RSI Trigger After MA CrossI use this in connection with my other indicator. Helps confirm my entries. Reach out and let me know if you want to learn how I use this for Bitcoin trading.
Livermore 5-Step Trade Dashboard [t2make]█ OVERVIEW
Jesse Livermore — arguably the greatest stock trader of the 20th century — never entered a trade on impulse. In "How to Trade in Stocks" (1940), he outlined a disciplined, top-down checklist that filtered out noise and kept him on the right side of the market.
This indicator translates Livermore's 5-step pre-trade test into a real-time, on-chart dashboard that automatically evaluates both LONG and SHORT setups simultaneously and tells you which direction has the stronger case — or tells you to sit on your hands.
No manual switching. No guessing. The market speaks, and the dashboard listens.
█ THE 5 STEPS
① MARKET TREND — "There is a time to go long, a time to go short, and a time to go fishing."
Compares fast/slow EMAs on your chosen market index (default: SPY). If the general market isn't trending in a clear direction, there's no trade. Period.
② SECTOR TREND — "Stocks move in groups. You must know which group your stock belongs to."
Checks whether the sector ETF (XLK, XLF, XLE, etc.) is confirming the broader trend. Livermore never fought the group.
③ STOCK ACTION — "The stock must be acting right."
The individual stock must be trending (EMA alignment) AND showing above-average volume. Trend without conviction is just drift.
④ PIVOTAL TIMING — "The pivotal point is where the money is made."
Price must be at or near a pivot high (for longs) or pivot low (for shorts), confirmed by RSI momentum. This is Livermore's famous "line of least resistance" — enter only when the stock is ready to move.
⑤ RISK MANAGEMENT — "Always define your risk before entering a trade."
ATR-based stop-loss, position risk as a percentage, and minimum reward-to-risk ratio. If the math doesn't work, the trade doesn't happen.
█ AUTO DIRECTION
This is the key differentiator. The script scores all 5 steps for both Long AND Short independently, then:
• The side with more passing steps wins
• If tied, the side aligned with the market trend (Step 1) takes priority
• If neither side scores, the dashboard shows "— NONE" — stay flat
The bottom row always displays both scores side by side (e.g., ▲ L 4/5 vs ▼ S 1/5) so you can see the full picture at a glance.
█ DASHBOARD SIGNALS
✅ GO TRADE — 5/5 steps pass. This is your green light.
⚠ ALMOST — 4/5 steps pass. One condition away — watch closely.
⏳ WATCH — 3/5 steps pass. Setup is forming but not ready.
🚫 NO TRADE — Below 3/5. Stay out.
On-chart markers:
🟢 Green ▲ below bar = Long 5/5 triggered
🔴 Red ▼ above bar = Short 5/5 triggered
🟡 Yellow ◆ = 4/5 (almost ready)
Subtle background tint when all 5 pass
█ HOW TO USE
1. Add the indicator to any stock or ETF chart
2. In settings, set your Market Index (SPY, QQQ, etc.) and Sector ETF to match your stock's sector
3. The dashboard does the rest — auto-detects direction and scores each step
4. Only trade when you see 5/5 PASS
5. Use the calculated Stop and Target levels as starting points for your trade plan
6. Set alerts for 5/5 and 4/5 triggers to get notified across your watchlist
Sector ETF reference: XLK (Tech), XLF (Financials), XLE (Energy), XLV (Healthcare), XLI (Industrials), XLP (Consumer Staples), XLU (Utilities), XLB (Materials), XLRE (Real Estate), XLC (Communications), XLY (Consumer Discretionary)
█ SETTINGS
Dashboard: Position (4 corners), Size (S/M/L), toggle EMAs and levels on/off
Step 1: Market symbol, fast/slow EMA periods
Step 2: Sector ETF symbol, EMA period
Step 3: Stock fast/slow EMA, volume surge multiplier, volume avg period
Step 4: Pivot lookback, RSI toggle, RSI period and OB/OS thresholds
Step 5: Max risk %, min R:R ratio, ATR period and multiplier
█ LIMITATIONS
• This is a checklist tool, not a signal generator — it tells you WHEN conditions align, not WHERE to enter tick-by-tick
• Works best on daily timeframe with stocks and ETFs that have reliable volume data
• Sector ETF must be set manually to match the stock you're analyzing
• Crypto and forex pairs may need adjusted parameters since they lack traditional sector groupings
• Past alignment of all 5 steps does not guarantee future results
█ NOTES
This indicator is inspired by Livermore's principles but is an interpretation, not a literal recreation. Livermore traded in an era before EMAs and RSI existed — he used price action and tape reading. The underlying logic, however, is the same: confirm the market, confirm the group, confirm the stock, wait for the pivot, and define your risk.
"It was never my thinking that made the big money for me. It always was my sitting." — Jesse Livermore
Follow @t2make on X for updates, new indicators, and trade ideas.
Quantitative Trend and Sector DashboardQuantitative Trend and Sector Dashboard
Overview
The QTS Dashboard is a visual market context tool that summarizes relative strength, benchmark comparison, volatility normalization, and sector participation in a compact on-chart display.
It is designed for analysis and situational awareness rather than trading signals or automated decisions.
What makes it different
Most relative strength tools compare symbols only to a broad index.
This dashboard automatically assigns a relevant sector or industry benchmark based on ticker membership, enabling like-for-like comparison with similar instruments.
The result is a multi-factor view of trend participation rather than a single metric.
Core components
• Benchmark Detection
Maps symbols to sector or industry ETFs to improve comparison relevance.
• Beta Normalization (252 bars)
Beta is calculated using covariance and variance to scale thresholds according to typical volatility.
• Dual Range Tracking
Measures distance from 52-week highs and lows to show position within the yearly cycle.
• Sector Participation Scan
Evaluates major SPDR sectors and lists those currently meeting configurable strength criteria.
• ATR Extension
Quantifies price distance from midpoint using ATR to highlight statistically extended moves.
Math summary
• Relative Spread = Benchmark %BelowHigh − Symbol %BelowHigh
• Beta = Covariance / Variance
• Adjusted Threshold = Base × Beta
• Extension = (Price − Midpoint) / ATR
All calculations use confirmed bars. No intentional repaint logic.
Status states
• Leader — stronger relative performance
• Neutral — in line with benchmark
• Lagging — weaker relative performance
• Extended — large volatility stretch
States describe context only.
How to use
• Compare Spread and Beta for relative positioning
• Monitor sector list for participation breadth
• Use extension values to gauge stretch conditions
• Adjust timeframe and thresholds to match your workflow
• Show, hide, or reposition the dashboard as needed
Example charts
Disclaimer
Educational and informational only.
This indicator does not provide buy or sell signals or investment advice.
Trading involves risk.
SolQuant PVSRA VolumeSignificance
The SolQuant PVSRA Volume engine is a specialized implementation of Price, Volume, Support, and Resistance Analysis. It is designed to filter standard retail volume noise by identifying Vector Candles —high-intent price moves validated by specific statistical volume thresholds.
Standard volume bars do not distinguish between active market-maker participation and passive retail churn. This tool bridges that gap by isolating the "Fuel" behind price movement to validate the structural integrity of trends.
Calculations & Methodology
Unlike standard volume oscillators, this script utilizes a dual-axis calculation to define market participation:
Relative Intensity Calculation: The script calculates a 10-period simple moving average (SMA) of volume as a baseline. Every current volume bar is then measured as a percentage of this average.
Vector Tier Logic: Participation is categorized into three mathematically defined tiers:
Rising (1.5x): Indicates above-average momentum entering the market.
Peak (2.0x): Correlates with significant liquidity sweeps or structural breaks.
Climax (5.0x): Represents statistical extremes (500%+) where institutional participation is likely exhausted or a major trend is being initiated.
Cross-Exchange Synchronization: To solve the issue of fragmented liquidity in crypto spot markets, the script utilizes request.security logic. It allows users to overlay high-liquidity Binance Perpetual volume data onto any chart, providing a consolidated view of professional positioning.
Features
Synthetic Instrument Override: A proprietary toggle that re-routes volume sourcing to high-liquidity derivatives contracts for more accurate "Vector" detection.
Momentum Color-Coding: High-contrast visual mapping (Cyan/Violet/Gold) based on spread-to-volume ratios to distinguish between aggressive accumulation and passive distribution.
Integrated Smoothing: A volatility-adjusted volume MA to help traders identify when "Velocity" is entering the market.
Usage
Strat + 50% Rule TheSTRAT, a niche yet popular trading strategy, was developed by Rob Smith over his 30-year career in the financial markets. The method is praised for its objectivity and systematic approach, while its complexity and unique perspective make it less widely understood. TheSTRAT is a multi-timeframe strategy that focuses on three primary components: Inside Bars, Directional Bars, and Outside Bars. The approach also emphasizes several key principles, including Full Time Frame Continuity, Broadening Formations, and the significance of Inside Bars. With the indicator you will see the numbers on the Bars, you will see the Previous day, week, month Highs and Lows. You will see the table displaying the lastest Strat Bars as well as the 50% rule retracement... If above the previous week 50% the dot will turn green and viceversa if the opposite is true.
Volatility & Probability by Hour/DayVolatility & Probability by Hour/Day
Analyzes historical candle data to find statistically significant time-based patterns. Tracks green candle probability, volatility, and average returns broken down by hour (UTC), day of week, and their combinations.
What It Shows:
Hourly Table: P(Green), edge, volatility, and average return for each hour (00:00-23:00 UTC)
Day of Week Table: Same metrics aggregated by day (Sun-Sat)
Top Combinations: The 5 best bullish and 5 best bearish day+hour slots ranked by edge
Key Metrics:
P(Grn): Historical probability the candle closes green
Edge: Deviation from 50% (how tradeable the bias is)
Vol%: Average candle range as percentage of price
N: Sample size
Use Cases:
Identify optimal entry windows with statistical edge
Avoid low-edge, high-volatility periods (noise)
Find specific day+hour combinations with compounding edges
Time trades around recurring market patterns
Notes:
All times in UTC
Current period highlighted with ►
Best results on liquid assets with sufficient history
Edges are historical and not guaranteed to persist
Bollinger Bands with 3SD Volume SegmentationPurpose
This script provides a structured way to analyze how real traded volume distributes across the different volatility zones defined by Bollinger Bands with three standard deviations, it reveals where activity concentrates, how pressure shifts between buyers and sellers, and how market participation behaves as price moves through expanding or contracting volatility regimes. The tool turns the bands into a mechanical segmentation system that exposes the microstructure hidden inside each volatility layer.
How it works
The script calculates Bollinger Bands at one, two, and three standard deviations, then assigns every bar’s volume to the correct volatility zone based on where price closed, it reconstructs buy and sell volume from candle behavior, computes delta as the difference between them, and aggregates these values over the chosen lookback window. Each zone displays total volume, delta, and a dominance percentage that expresses how strongly buyers or sellers controlled that region, all updated dynamically on the most recent bar. For example, if the Mid–U1 zone shows 28,450 contracts with a –2,728 delta and –9.59% dominance, that indicates mild seller control in a normally balanced rotation area, while the L1–Mid zone showing 10,606 contracts, +1,816 delta, and 17.12% dominance signals buyers absorbing pressure and defending the pullback.
Rationale
Volatility zones behave like natural boundaries where liquidity concentrates, where traders commit, hesitate, or get trapped, and where expansions or reversals often originate, so segmenting volume and delta by these zones provides a clearer picture of intent and pressure than raw volume alone. By quantifying how much buying or selling occurred in each volatility layer, the script helps identify continuation, absorption, exhaustion, and imbalance, giving traders a mechanical, objective map of market behavior rather than relying on subjective interpretation.
FVG w/ Correlated ConfirmationThis Pine Script indicator detects Fair Value Gaps (FVGs) on your chart—price gaps between candles where no trading occurred, often signaling potential support or resistance zones. It highlights bullish FVGs (gap ups) and bearish FVGs (gap downs) as colored boxes directly on the chart. The indicator also optionally confirms these FVGs by checking if a correlated asset (e.g., NASDAQ:NDX) shows a similar FVG, increasing confidence. Midpoint lines inside the boxes can be displayed to mark the center of the gap.
Boxes are anchored to the exact candles where the FVG forms and extend rightwards by a user-defined number of bars, remaining fixed and not sliding as new bars form. Correlated FVGs add an extra layer of confirmation from related markets, improving reliability and reducing false signals.
3 EMA Kesisim-Canengin15 dakikalık grafiklerde ema 8 in sırasıyla 21 ve 50 yi kesmesi ile alim satim sinyali üretir
EMA 9 13 15 21 50 200EMA Multi Cross Alert System is a multi-moving average indicator designed to help traders quickly identify trend shifts and momentum changes using key Exponential Moving Average (EMA) crossover signals.
The script plots six important EMAs (9, 13, 15, 21, 50, and 200) directly on the price chart, allowing traders to monitor short-term, medium-term, and long-term trend alignment in real time.
The indicator automatically generates alerts when critical EMA crossover events occur, helping traders react quickly without constantly watching charts.
Multi-Session Volume Profile Suite [MarkitTick]💡 This indicator provides a sophisticated, institutional-grade Volume Profile analysis suite that renders multiple temporal profiles simultaneously. It is designed for traders utilizing Auction Market Theory who require a holistic view of where value is being established across Daily, Weekly, and Monthly timeframes, alongside custom intraday sessions. By bypassing standard built-in functions in favor of a custom array-based calculation engine, this tool offers granular control over Value Area logic, Point of Control (POC) migration, and multi-timeframe confluence detection.
✨ Originality and Utility
Standard Volume Profile tools often limit traders to a single timeframe or the visible range of the chart. This creates a fragmented view of the market, where a trader might see the daily value but miss the context of the weekly or monthly auction.
This script solves that problem by layering three distinct higher-timeframe profiles (Daily, Weekly, Monthly) plus three customizable intraday session profiles onto a single chart.
● Key Differentiators
Confluence Detection Engine: The script mathematically calculates when the Points of Control (POC) of different timeframes overlap (e.g., Daily POC inside Weekly POC). It explicitly highlights these high-probability zones with specific labels (e.g., "TRIPLE CONFLUENCE"), automating the search for key support/resistance levels.
POC Migration Tracking: Unlike static profiles, this tool tracks the "Shift" of the POC. It visualizes whether value is migrating higher (▲), lower (▼), or remaining neutral (=) compared to the previous period, providing immediate insight into the trend's acceptance.
Synthetic Chart Protection: The script includes logic to detect and prevent usage on non-standard chart types like Heikin Ashi or Renko, ensuring that the volume data processed is accurate and not subject to the repainting often found in synthetic OHLC variations.
🔬 Methodology and Concepts
The core engine relies on a custom implementation of the Volume Profile formula using dynamic arrays. It does not simply pull pre-calculated data but processes the tick volume of the underlying asset relative to price action.
• Volumetric Binning
The script divides the price range of a specific period (e.g., a Day) into a user-defined number of "rows" (bins). As price trades within a specific bin, the corresponding volume is accumulated.
Point of Control (POC): The bin with the highest accumulated volume is identified as the POC. This represents the "Fair Value" or the mode of the distribution for that period.
Value Area (VA): The script calculates the total volume of the profile and then identifies the range surrounding the POC that contains a specific percentage (default 70%) of that volume. It uses a dual-scanning algorithm that expands upwards or downwards from the POC based on which adjacent row has higher volume, mimicking the auction process of testing prices.
• Exact-Anchor Pivots
Simultaneously, the script tracks "Exact-Anchor" pivots. Unlike standard pivots that settle at the close, these track the absolute High and Low of the period (Daily/Weekly/Monthly) in real-time and extend them until a new period begins.
🎨 Visual Guide
The indicator uses a color-coded hierarchy to distinguish between timeframes. Understanding this visual language is critical for interpreting the data.
● Profile Hierarchy (Default Theme)
Daily Profile (Yellow/Gold): Represents the immediate, short-term auction.
Solid Line: Daily POC.
Dotted Line: Daily Value Area High (VAH) and Low (VAL).
Weekly Profile (Blue): Represents the intermediate auction. A solid Blue line indicates the Weekly POC.
Monthly Profile (Purple): Represents the macro auction. A solid Purple line indicates the Monthly POC.
● Labels and Symbols
Right-Side Labels: At the end of profile lines, text labels display the exact price of the POC.
Shift Arrows (▲ / ▼): Located inside the POC label, these arrows indicate the direction the POC has moved relative to the previous period's POC. An Up arrow (▲) suggests buyers are accepting higher prices.
Confluence Labels: If enabled, a text box appears near price action stating "POC CONFLUENCE" or "TRIPLE CONFLUENCE" when the POCs of different timeframes align within a tight margin.
Block Symbol (⬛): A small block icon may appear above bars to denote the center of a specific session's time window.
● Pivot Lines
Orange Lines: Previous Daily High (PDH) and Low (PDL).
Green Dashed Lines: Previous Weekly High (PWH) and Low (PWL).
Red Dotted Lines: Previous Monthly High (PMH) and Low (PML).
White Dashed Line: New York Midnight Open price (if enabled).
📖 How to Use
This suite is designed for "Contextual Trading." It answers the question: Where are we relative to value?
• Trend Acceptance
Observe the Shift Arrows on the POC labels. In a healthy uptrend, you should see a sequence of Daily and Weekly profiles with (▲) arrows, indicating that the market is validating higher prices as fair value. If price rises but the POC remains lower or shifts down, it may indicate a "weak high" or a potential reversal (divergence between price and value).
• Support and Resistance
The POC lines act as high-probability support and resistance. Price returning to a Weekly (Blue) or Monthly (Purple) POC often results in a reaction, as these are areas of significant historical agreement between buyers and sellers.
• The Confluence Play
Pay special attention when the "Confluence" label appears. When a Daily POC aligns with a Weekly or Monthly POC, that specific price level possesses reinforced structural importance. A rejection from such a level is a strong signal; a breakout through such a level often leads to an explosive move as value transitions rapidly.
⚙️ Inputs and Settings
The script is highly customizable via the settings menu.
● General Settings
Row Resolution: Determines the granularity of the profile. Higher numbers (e.g., 100) create smoother, more detailed profiles but use more calculation resources.
Value Area %: Default is 70.0, representing the standard deviation of value.
Show POC Shift: Toggles the (▲/▼) comparison logic.
● Profile Scope
Show Daily/Weekly/Monthly: Checkboxes to individually enable or disable specific timeframe profiles.
Session Lookback: Controls how many historical days/weeks the profiles are kept on the chart.
● Pivots (PDH/PMH/NYM)
Show Pivots: Enables the High/Low lines for previous periods.
Show NY Midnight: Specifically toggles the opening price of the New York session (00:00 EST).
● Alerts
Approach Distance: Sets the sensitivity (in ticks) for alerts when price nears a key POC level.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
This indicator is grounded in Auction Market Theory (AMT) and statistical distribution analysis.
• The Market as a Mechanism
AMT postulates that the primary purpose of the market is to facilitate trade. Price advertises opportunity, while Time regulates the opportunity. Volume is the validation of that price. When the market spends significant time and transacts significant volume at a specific level, it establishes "Value."
• Gaussian Distribution and Central Limit Theorem
A Volume Profile is essentially a histogram of volume over price, often resembling a Gaussian (Normal) Distribution or "Bell Curve" when the market is balanced.
POC (Mode): The peak of the curve. Mathematically, this is the mode of the dataset—the price occurring with the highest frequency (volume).
Value Area (Standard Deviation): In a normal distribution, approximately 68.2% of data points fall within one standard deviation of the mean. This script defaults to a 70% Value Area to approximate this statistical boundary. Prices outside this area are considered statistically significant anomalies or "imbalanced."
• Confluence and Probability
The "Confluence" feature leverages the intersection of independent datasets. If the mode (POC) of a short-term distribution (Daily) aligns with the mode of a long-term distribution (Weekly), the probability of that price representing "True Value" increases exponentially. This aligns with statistical principles where overlapping data clusters suggest a stronger underlying signal amidst market noise.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Daily Pivot Points [Anatmart]Daily Pivot Points Indicator calculating the pivot points of previous day in a price chart. It shows support and resistance pivot points of today in Labels and Tables.
To calculate the standard, or floor, pivot point levels, we proceed this way:
H = maximum price of the previous day
L = minimum price of the previous day
C = close of the previous day
PP = (H + L + C) / 3
Level Formula
Resistance 3: R3 = R2 + (H - L)
Resistance 2: R2 = (PP - S1) + R1
Resistance 1: R1 = (2 * PP) - L
Support 1: S1 = (2 * PP) - H
Support 2: S2 = PP - (R1 - S1)
Support 3: S3 = S2 - (H - L)
Prime Minute MarkerPrime Minute Marker – Description
This script marks specific prime-numbered minutes directly on the chart using clean, plain text (no boxes or shapes).
It is designed for time-based market observation, helping traders spot recurring reactions, swings, and behavioral patterns that tend to appear at specific minutes within the hour.
The marker:
Displays only selected prime minutes
Uses simple text labels for a clutter-free chart
Does not interfere with price action
Works on any intraday timeframe
Is especially useful for swing points, liquidity reactions, and auction-based analysis
This tool is meant for observation and confluence, not as a standalone trading signal.
CAVA MEJORA FINALWhen a BUY (COMPRA) label appears, the script has verified 5 simultaneous conditions:
Bullish Crossover: 5 EMA > 10 EMA on the daily chart.
Daily Slope: Both daily EMAs are rising.
Weekly Slope: The 5 Weekly EMA (Yellow) is rising.
Momentum: The Weekly Stochastic is in an ascending phase.
Institutional Confirmation: Volume is higher than the 20-day average.
The Volume Factor (Label Size):
Small: Standard volume (>1x average).
Normal: Strong volume (>1.5x average).
Large: Massive capital entry (>2x average). Always prioritize Normal and Large signals.
Floating FibFib will lock onto last traded price and float until you enter, then click Trade Entry and the entry price and it stays locked while your trade progresses
SolQuant WatermarkSignificance
The SolQuant Watermark is a layout management utility designed to improve chart ergonomics by organizing metadata into a persistent UI layer. By utilizing the Pine Script table functions, the tool ensures that essential contextual data remains anchored to the display area, preventing visual clutter during historical price action analysis.
Calculations & Methodology
Unlike standard labels or drawing objects which are anchored to specific price-time coordinates, this utility utilizes the Table API .
Coordinate Independence: The table logic renders objects relative to the screen dimensions rather than the price scale. This ensures the information remains visible regardless of vertical or horizontal scrolling.
Dynamic Metadata Injection: The script utilizes built-in variables ( syminfo.tickerid , timeframe.period ) to automatically update the UI with current asset data, ensuring data integrity across multiple chart layouts.
Screen Real Estate Optimization: The layout engine uses an anchoring system (9-point grid) to prevent overlap with technical indicators or price action.
Features
9-Point Anchor System: Allows for precision placement at any screen corner or center point to optimize workspace efficiency.
Adaptive Scaling: Includes 5 pre-configured scale settings to maintain readability across various device resolutions.
Visual Configuration: Full control over background opacity and border styles to align with specific "Dark Mode" or presentation philosophies.
Usage
Organization: Use the "Quote Text" field for internal notes or community identifiers.
Contextual Awareness: Enable "Symbol Info" to keep track of assets and timeframes during multi-chart analysis sessions.
Disclaimer
This is a visual utility tool intended for chart organization. It does not provide trade signals or financial advice.
Green/Red Candle Conditional Probability V2Conditional Next-Candle Probability Analyzer
This indicator calculates the historical probability of the next candle being green based on current market conditions. Unlike simple candle counters, it tracks conditional probabilities.
How It Works:
Monitors 20+ market conditions across trend, momentum, volatility, volume, and candle patterns
For each condition, tracks: "When this was true, what % of next candles were green?"
Combines active conditions into a weighted probability prediction
Weights by sample size (more historical data = more influence)
Conditions Tracked:
Trend alignment (EMA 7 / SMA 20 / SMA 200)
RSI levels and momentum
MACD position, histogram, and crosses
Consecutive candle streaks (3-4 in a row)
Bollinger Band touches and squeeze/expansion
Volume spikes and anomalies
Large candles and rejection wicks
Table Display:
P(Grn): Probability next candle is green when condition is active
Edge: Deviation from 50% (how predictive the condition is)
N: Sample size (historical occurrences)
► marks currently active conditions
Signals:
Plots arrows when multiple conditions align with sufficient confidence (configurable threshold).
Use Cases:
Identify which setups have actual predictive value on your asset/timeframe
Find confluence zones where multiple high-edge conditions align
Backtest mean-reversion vs momentum characteristics
Note: Edges are typically small (2-5%). Best used for confluence confirmation, not standalone signals.
[Saga Trading] Moving Average ProThis open-source indicator provides trend and market structure context using multiple moving averages.
It allows traders to visualize several moving averages simultaneously, with configurable calculation methods (EMA, SMA, or RMA), in order to better assess trend alignment, momentum, and structural bias.
Common references such as the 50-period and 200-period averages are included because they are widely observed by market participants. Crossovers between these averages (often referred to as golden or death crosses) are displayed as structural information only and should not be interpreted as trading signals.
The purpose of this tool is to help traders understand market structure and trend context, not to generate entries or exits.
This indicator is intended for educational and analytical purposes and should be used alongside price action and broader market analysis.
Quantum Mean Reversion Oscillator[Pineify]Quantum Mean Reversion Oscillator - Statistical Z-Score Based Trading Signals
The Quantum Mean Reversion Oscillator (QMR) is a statistically-driven momentum indicator designed to identify high-probability mean reversion opportunities in any market. Built on the foundation of Z-score analysis, this oscillator measures how far price has deviated from its statistical mean, expressed in standard deviations. When price stretches too far from equilibrium, it tends to snap back—this indicator captures those precise moments.
Key Features
Z-Score based oscillator measuring price deviation from dynamic mean
Adaptive EMA-based mean calculation for responsive trend detection
Customizable standard deviation multiplier for volatility adjustment
Built-in smoothing to filter market noise and reduce false signals
Visual gradient glow effect showing momentum intensity
Clear overbought/oversold threshold levels at +2.0 and -2.0
Automatic buy and sell signal generation on mean reversion events
Pre-configured alert conditions for automated trading workflows
How It Works
The indicator employs a three-step calculation process rooted in statistical analysis:
Dynamic Mean Calculation: Rather than using a simple moving average, the oscillator uses an Exponential Moving Average (EMA) as the basis. This makes the mean more responsive to recent price action while still maintaining statistical validity.
Z-Score Computation: The core of this indicator is the Z-score formula: (Price - Mean) / Standard Deviation. This transforms raw price data into a normalized scale where values represent how many standard deviations price has moved from its mean. A reading of +2.0 means price is two standard deviations above average—a statistically significant extreme.
Noise Reduction: The raw Z-score is smoothed using a Simple Moving Average to eliminate whipsaws and provide cleaner, more actionable signals.
Trading Ideas and Insights
Mean reversion is one of the most fundamental concepts in quantitative trading. Markets tend to oscillate around fair value, and extreme deviations often precede reversals. The QMR Oscillator quantifies this behavior:
When the oscillator exceeds +2.0, price is statistically overbought—approximately 95% of price action occurs below this level under normal distribution
When the oscillator drops below -2.0, price is statistically oversold—a zone where buying pressure typically emerges
The crossback signals (crossing back inside from extremes) indicate the reversion has begun, providing entry timing
This approach works particularly well in ranging markets and can identify exhaustion points in trending markets where pullbacks are likely.
How Multiple Indicators Work Together
The QMR Oscillator integrates three complementary statistical concepts into a unified framework:
EMA for Mean: Provides a responsive baseline that adapts to changing market conditions faster than traditional SMA, ensuring the "fair value" reference point stays relevant.
Standard Deviation for Volatility: Automatically adjusts the oscillator's sensitivity based on current market volatility. During high volatility, larger price moves are required to reach extreme readings, preventing false signals.
SMA Smoothing: Applied as a final filter to remove noise without introducing significant lag, balancing responsiveness with reliability.
These three components work synergistically—the EMA tracks the trend, standard deviation normalizes for volatility, and smoothing ensures signal quality.
Unique Aspects
Statistical Foundation: Unlike arbitrary oscillator boundaries, the +/-2.0 levels have statistical meaning—representing approximately 2 standard deviations from the mean
Visual Gradient System: The glow effect intensifies as price moves further from equilibrium, providing intuitive visual feedback on momentum strength
Adaptive Sensitivity: The deviation multiplier allows traders to adjust how extreme price must move before triggering signals, accommodating different trading styles and market conditions
How to Use
Add the indicator to your chart and observe the oscillator's position relative to the zero line and threshold levels
Look for buy signals (B markers) when the oscillator crosses back above -2.0 from oversold territory
Look for sell signals (S markers) when the oscillator crosses back below +2.0 from overbought territory
Use the gradient glow intensity to gauge momentum strength—brighter colors indicate more extreme conditions
Set up alerts using the built-in alert conditions for automated notifications
Customization
Mean Lookback (default: 20): Controls the EMA period for mean calculation. Shorter periods increase sensitivity; longer periods provide smoother readings
Deviation Multiplier (default: 2.0): Adjusts how many standard deviations define the bands. Higher values require more extreme moves for signals
Smoothing (default: 3): Controls noise filtering. Increase for smoother signals in choppy markets
Bullish/Bearish Glow Colors: Customize the visual appearance to match your chart theme
Show Reversion Signals: Toggle buy/sell markers on or off
Conclusion
The Quantum Mean Reversion Oscillator provides traders with a statistically rigorous tool for identifying mean reversion opportunities. By combining Z-score analysis with adaptive volatility measurement and intelligent smoothing, it offers a systematic approach to finding high-probability reversal points. Whether used as a standalone indicator or as confirmation for other analysis methods, the QMR Oscillator brings quantitative precision to mean reversion trading strategies.
Institutional ROC + Z-Score HeatmapInstitutional ROC + Z-Score Heatmap
Identifies statistically significant daily price moves by calculating the z-score of the rate of change (ROC) against a configurable historical lookback period. Designed for cross-asset regime monitoring and volatility detection.
How it works:
Calculates the daily percentage change (ROC)
Compares that move to the historical distribution of daily moves
Expresses the result as a z-score (standard deviations from the mean)
Color coding:
Teal: Extreme positive move (>3σ) — rare upside, potential blowoff top
Red: Extreme negative move (<-3σ) — rare downside, potential capitulation
Orange/Lime: Warning zone (2-3σ) — unusual but not extreme
Gray: Normal volatility — nothing actionable
Use cases:
Identify regime shifts across asset classes (equities, crypto, commodities)
Spot potential mean-reversion setups after extreme moves
Monitor cross-asset risk appetite (BTC, XBI, SPY) for tactical hedging signals
Recommended settings:
ROC Length: 1 (daily moves)
Lookback: 252 (1 year) for stable assets, 60-90 for volatile biotech
