Statistical Price Deviation Index (MAD/VWMA)SPDI is a statistical oscillator designed to detect potential price reversal zones by measuring how far price deviates from its typical behavior within a defined rolling window.
Instead of using momentum or moving averages like traditional indicators, SPDI applies robust statistics - a rolling median and Mean Absolute Deviation (MAD) - to calculate a normalized measure of price displacement. This normalization keeps the output bounded (from −1 to +1 by default), producing a stable and consistent oscillator that adapts to changing volatility conditions.
The second line in SPDI uses a Volume-Weighted Moving Average (VWMA) instead of a simple price median. This creates a complementary oscillator showing statistically weighted deviations based on traded volume. When both oscillators align in their extremes, strong confluence reversal signals are generated.
How It Works
For each bar, SPDI calculates the median price of the last N bars (default 100).
It then measures how far the current bar’s midpoint deviates from that rolling median.
The Mean Absolute Deviation (MAD) of those distances defines a “normal” range of fluctuation.
The deviation is normalized and compressed via a tanh mapping, keeping the oscillator in fixed boundaries (−1 to +1).
The same logic is applied to the VWMA line to gauge volume-weighted deviations.
How to Use
The blue line (Price MAD) represents pure price deviation.
The green line (VWMA Disp) shows the volume-weighted deviation.
Overbought (red) zones indicate statistically extreme upward deviation -> potential short-term overextension.
Oversold (green) zones indicate statistically extreme downward deviation -> potential rebound area.
Confluence signals (both lines hitting the same extreme) often mark strong reversal points.
Settings Tips
Lookback length controls how much historical data defines “normal” behavior. Larger = smoother, smaller = more sensitive.
Smoothing (RMA length) can reduce noise without changing the overall statistical logic.
Output scale can be set to either −1..+1 or 0..100, depending on your visual preference.
Alerts and color fills are fully customizable in the Style tab.
Summary:
SPDI transforms raw price and volume data into a statistically bounded deviation index. When both Price MAD and VWMA Disp reach joint extremes, it highlights probable market turning points - offering traders a clean, data-driven way to spot potential reversals ahead of time.
스크립트에서 "signal"에 대해 찾기
VWAP + Multi-Condition RSI Signals + FibonacciPlatform / System
Platform: TradingView
Language: Pine Script® v6
Purpose: This script is an overlay indicator for technical analysis on charts. It combines multiple tools: VWAP, RSI signals, and Fibonacci levels.
1️⃣ VWAP (Volume Weighted Average Price)
What it does:
Plots the VWAP line on the chart, which is a weighted average price based on volume.
Can be anchored to different periods: Session, Week, Month, Quarter, Year, Decade, Century, or corporate events like Earnings, Dividends, Splits.
Optionally plots bands above and below VWAP based on standard deviation or a percentage.
Supports up to 3 bands with customizable multipliers.
Will not display if the timeframe is daily or higher and the hideonDWM option is enabled.
Visual on chart: A main VWAP line with optional shaded bands.
2️⃣ RSI (Relative Strength Index) Signals
What it does:
Calculates RSI with a configurable period.
Identifies overbought and oversold zones using user-defined levels.
Generates buy/sell signals based on:
RSI crossing above oversold → Buy
RSI crossing below overbought → Sell
Detects strong signals using divergences:
Bullish divergence: Price makes lower low, RSI makes higher low → Strong Buy
Bearish divergence: Price makes higher high, RSI makes lower high → Strong Sell
Optional momentum signals when RSI crosses 50 after recent overbought/oversold conditions.
Visual on chart:
Triangles for buy/sell
Different color triangles/circles for strong and momentum signals
Background shading in RSI overbought/oversold zones
Alerts: The script can trigger alerts when any of these signals occur.
3️⃣ Fibonacci Levels
What it does:
Calculates Fibonacci retracement and extension levels based on the highest high and lowest low over a configurable lookback period.
Plots standard Fibonacci levels: 0.146, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0
Plots extension levels: 1.272, 1.618, 2.0, 2.618
Helps identify potential support/resistance zones.
Visual on chart: Horizontal lines at each Fibonacci level, shaded with different transparencies.
Summary
This script is essentially a multi-tool trading indicator that combines:
VWAP with dynamic bands for trend analysis and price positioning
RSI signals with divergences for entry/exit points
Fibonacci retracement and extension levels for support/resistance
It is interactive and visual, providing both chart overlays and alert functionality for active trading strategies.
This code is provided for training and educational purposes only. It is not financial advice and should not be used for live trading without proper testing and professional guidance.
Multi-Timeframe Bollinger RSI SignalsIt's literally Free Money. Buy and Sell signal indicator based on RSI and Bollinger Bands Confluence.
MACD (Buy & Sell signals)This file uses the original code of the MACD and adds a Buy Sell signal when the MACD cuts the signal
Ichimoku PourSamadi Signal [TradingFinder] KijunSen Magic Number🔵 Introduction
The Ichimoku Kinko Hyo system is one of the most comprehensive market analysis tools ever created. Developed by Goichi Hosoda, a Japanese journalist in the 1930s, its purpose was to allow traders to recognize the balance between price, time, and momentum at a single glance. (In Japanese, Ichimoku literally means “one look.”)
At the core of the system lie five key components: Tenkan-sen (Conversion Line), Kijun-sen (Baseline), Chikou Span (Lagging Line), and the two leading spans, Senkou Span A and Senkou Span B, which together form the well-known Kumo or cloud representing both temporal structure and equilibrium zones in the market.
Although Ichimoku is commonly used to identify trends and support/resistance levels, a deeper layer of time philosophy exists within it. Ichimoku was not designed solely for price analysis but equally for time analysis.
In the classical model, the numerical cycles 9, 26, 52 reflect the natural rhythm of the market originally based on the Tokyo Stock Exchange’s trading schedule in the 1930s.
These values repeat across the system’s calculations, forming the foundation of Ichimoku’s time symmetry where price and time ultimately seek equilibrium.
In recent years, modern analysts have explored new approaches to extract time-based turning points from Ichimoku’s structure. One such approach is the analysis of flat segments on the Kijun-sen and Senkou B lines.
Whenever one of these lines remains flat for a period, it signals temporary balance between buyers and sellers; when the flat breaks, the market exits equilibrium and a new cycle begins.
This indicator is built precisely upon that philosophy. Following the timing methodology introduced by M.A. Poursamadi, the focus shifts away from price signals and line crossovers toward identifying flat periods on Kijun-sen (period 52) as time anchors.
From the first candle that changes the line’s slope, the tool begins a temporal count using a fixed sequence of key numbers: 5, 9, 13, 17, 26, 35, 43, 52, 63, 72, 81, 90.
Derived from both classical Ichimoku cycles and empirical testing, these numbers mark potential timing nodes where a market wave may end, a correction may begin, or a new leg may form.
Thus, this method serves not merely as another Ichimoku tool but as a temporal metronome for market structure a way to visualize moments when the market is ready to change rhythm, often before candles reveal it.
🔵 How to Use
The Kijun Timing BoX is built entirely on Ichimoku’s concept of time analysis.
Its core idea is that within every flat segment of the Kijun-sen, the market enters a temporary balance between opposing forces.
When that flat breaks, a new time cycle begins. From that first breakout candle, the indicator starts counting forward through the predefined time sequence(5, 9, 13, 17, 26, 35, 43, 52, 63, 72, 81, 90).
This counting framework creates a temporal map of market behavior, where each number represents an area where meaningful price fluctuations often occur.
A “meaningful fluctuation” does not necessarily imply reversal or continuation; rather, it marks a moment when the market’s internal energy balance shifts, typically visible as noticeable reactions on lower timeframes.
🟣 Identifying the Anchor Point
The first step is recognizing a valid flat zone on the Kijun-sen.
When this line remains flat for several candles and then changes slope, the indicator marks that bar as the Anchor, initiating the time count.
From that point onward, vertical gray lines appear at each interval in the key-number sequence, visualizing the time nodes ahead.
🟣 Reading the Timing Lines
Each numbered line represents a timing node a temporal point where a change in price rhythm is statistically more likely to occur.
At these nodes, the market may :
Enter a consolidation or minor correction phase.
Develop range-bound movement.
Or simply alter the speed and intensity of its move.
These behaviors do not imply a specific direction; they only highlight zones where time-based activity tends to cluster, giving traders a clearer view of cyclical rhythm.
🟣 Applying Time Analysis
The indicator’s primary use is to observe temporal order, not to predict price direction.
By tracking the distance between Anchors and the reactions that appear near major timing lines, traders can empirically identify each market’s characteristic rhythm—its own time DNA.
For example, one asset may consistently show significant fluctuations around the 13- and 26-bar marks,while another might react closer to 9 or 52. Recognizing such patterns helps traders understand how long typical cycles last before new phases of volatility emerge.
🟣 Combining with Other Tools
The indicator does not generate buy/sell signals on its own.
Its best use is in combination with price- or structure-based methods, to see whether meaningful price reactions occur around the same timing nodes.
In practice, it helps distinguish structured time-based fluctuations from random, noise-driven moves an insight often overlooked in conventional market analysis.
🔵 Settings
🟣 Logical Settings
KijunSen Period : Defines the baseline period used for timing analysis. Default = 52. It is the main line for detecting flats and generating time anchors.
Flat Event Filter : Controls how flat segments are validated before triggering a new timing event.
All : Every flat triggers a new Timing Box.
Automatic : Only flats longer than the historical average are used (recommended).
Custom : User manually defines the minimum flat length via Custom Count.
Update Timing Analysis BoX Per Event : If enabled, a new Timing Box is drawn each time a new flat event occurs. If disabled, the box completes its 90-bar window before refreshing.
🟣 Ichimoku Settings
TenkanSen Period : Defines the period for the Conversion Line (Tenkan-sen). Default = 9.
KijunSen Period : Sets the standard Ichimoku baseline (not the timing line). Default = 26.
Span B Period : Defines the period for Senkou Span B, the slower cloud boundary. Default = 52.
Shift Lines : Offsets cloud projection into the future. Default = 26.
🟣 Display Settings
Users can show or hide all Ichimoku lines Tenkan-sen, Kijun-sen, Chikou Span, Span A, and Span B as well as the Ichimoku Cloud.
They can also customize the color of each element to match personal chart preferences and improve visibility.
🔵 Conclusion
This analytical approach transforms Ichimoku’s time philosophy into a visual and measurable framework. A flat Kijun-sen represents a moment of market equilibrium; when its slope shifts, a new temporal cycle begins.
The purpose is not to forecast price direction but to highlight periods when meaningful fluctuations are more likely to develop.
Through this perspective, traders can observe the hidden rhythm of market time and expand their analysis beyond price into a broader time-cycle dimension.
Ultimately, the method revives Ichimoku’s original principle: the market can only be truly understood through the simultaneous harmony of price, time, and balance.
Inversion Fair Value Gap Signals [AlgoAlpha]🟠 OVERVIEW
This script is a custom signal tool called Inversion Fair Value Gap Signals (IFVG) , designed to detect, track, and visualize fair value gaps (FVGs) and their inversions directly on price charts. It identifies bullish and bearish imbalances, monitors when these zones are mitigated or rejected, and extends them until resolution or expiration. What makes this script original is the inclusion of inversion logic—when a gap is filled, the area flips into an opposite "inversion fair value gap," creating potential reversal or continuation zones that give traders additional context beyond classic FVG analysis.
🟠 CONCEPTS
The script builds on the Smart Money Concepts (SMC) principle of fair value gaps, where inefficiencies form when price moves too quickly in one direction. Detection requires a three-bar sequence: a strong up or down move that leaves untraded price between bar highs and lows. To refine reliability, the script adds an ATR-based size filter and prevents overlap between zones. Once created, gaps are tracked in arrays until mitigation (price closing back into the gap), expiration, or transformation into an inversion zone. Inversions act as polarity flips, where bullish gaps become bearish resistance and bearish gaps become bullish support. Lower-timeframe volume data is also displayed inside zones to highlight whether buying or selling pressure dominated during gap creation.
🟠 FEATURES
Automatic detection of bullish and bearish FVGs with ATR-based thresholding.
Inversion logic: mitigated gaps flip into opposite-colored IFVG zones.
Volume text overlay inside each zone showing up vs down volume.
Visual markers (△/▽ for FVG, ▲/▼ for IFVG) when price exits a zone without mitigation.
🟠 USAGE
Apply the indicator to any chart and enable/disable bullish or bearish FVG detection depending on your focus. Use the colored gap zones as areas of interest: bullish gaps suggest possible continuation to the upside until mitigated, while bearish gaps suggest continuation down. When a gap flips into an inversion zone, treat it as potential support/resistance—bullish IFVGs below price may act as demand, while bearish IFVGs above price may act as supply. Watch the embedded up/down volume data to gauge the strength of participants during gap formation. Use the △/▽ and ▲/▼ markers to spot when price rejects gaps or inversions without filling them, which can indicate strong trending momentum. For practical use, combine alerts with your trade plan to track when new gaps form, when old ones are resolved, or when key zones flip into inversions, helping you align entries, targets, or reversals with institutional order flow logic.
SATHYA SMA SignalThis indicator overlays 20, 50, and 200 Simple Moving Averages (SMAs) on the chart. It generates bullish signals when the 20 SMA crosses above the 200 SMA before the 50 SMA, with both above 200 SMA. Bearish signals occur when the 20 SMA crosses below the 200 SMA before the 50 SMA, with both below 200 SMA. Signals appear as distinct triangles on the chart, helping traders identify trend reversals based on systematic SMA crossovers and order of crossing.
SATHYA SMA Signal)This indicator overlays 20, 50, and 200 Simple Moving Averages (SMAs) on the chart. It generates bullish signals when the 20 SMA crosses above the 200 SMA before the 50 SMA, with both above 200 SMA. Bearish signals occur when the 20 SMA crosses below the 200 SMA before the 50 SMA, with both below 200 SMA. Signals appear as distinct triangles on the chart, helping traders identify trend reversals based on systematic SMA crossovers and order of crossing.
Buy and Sell Signals (Altius Consulting)Generates Buy and Sell signals based on MACD and RSI.
- Plots MACD, Signal & Histogram (optional pane).
- Buy Label (toggle): Bullish MACD crossover + RSI < threshold (no convergence requirement).
- Sell Label: Bearish MACD crossover (MACD crosses below Signal) prints a SELL tag.
- Alert: Provided for convergence-based buy condition (add your own for simple crossover if desired).
TheWave + Supertrend Hybrid w/ Signals• Green triangle below bar → Long entry signal
• Red triangle above bar → Short entry signal
• Small lime cross above/below → Take-profit hit
• Small maroon cross above/below → Stop-loss hit
• SMA5 and Supertrend lines for trend context
This version makes all entries and exits visually obvious while keeping the hybrid TheWave + Supertrend logic intact.
Sequential Pattern Strength [QuantAlgo]🟢 Overview
The Sequential Pattern Strength indicator measures the power and sustainability of consecutive price movements by tracking unbroken sequences of up or down closes. It incorporates sequence quality assessment, price extension analysis, and automatic exhaustion detection to help traders identify when strong trends are losing momentum and approaching potential reversal or continuation points.
🟢 How It Works
The indicator's key insight lies in its sequential pattern tracking system, where pattern strength is measured by analyzing consecutive price movements and their sustainability:
if close > close
upSequence := upSequence + 1
downSequence := 0
else if close < close
downSequence := downSequence + 1
upSequence := 0
The system calculates sequence quality by measuring how "perfect" the consecutive moves are:
perfectMoves = math.max(upSequence, downSequence)
totalMoves = math.abs(bar_index - ta.valuewhen(upSequence == 1 or downSequence == 1, bar_index, 0))
sequenceQuality = totalMoves > 0 ? perfectMoves / totalMoves : 1.0
First, it tracks price extension from the sequence starting point:
priceExtension = (close - sequenceStartPrice) / sequenceStartPrice * 100
Then, pattern exhaustion is identified when sequences become overextended:
isExhausted = math.abs(currentSequence) >= maxSequence or
math.abs(priceExtension) > resetThreshold * math.abs(currentSequence)
Finally, the pattern strength combines sequence length, quality, and price movement with momentum enhancement:
patternStrength = currentSequence * sequenceQuality * (1 + math.abs(priceExtension) / 10)
enhancedSignal = patternStrength + momentum * 10
signal = ta.ema(enhancedSignal, smooth)
This creates a sequence-based momentum indicator that combines consecutive movement analysis with pattern sustainability assessment, providing traders with both directional signals and exhaustion insights for entry/exit timing.
🟢 Signal Interpretation
Positive Values (Above Zero): Sequential pattern strength indicating bullish momentum with consecutive upward price movements and sustained buying pressure = Long/Buy opportunities
Negative Values (Below Zero): Sequential pattern strength indicating bearish momentum with consecutive downward price movements and sustained selling pressure = Short/Sell opportunities
Zero Line Crosses: Pattern transitions between bullish and bearish regimes, indicating potential trend changes or momentum shifts when sequences break
Upper Threshold Zone: Area above maximum sequence threshold (2x maxSequence) indicating extremely strong bullish patterns approaching exhaustion levels
Lower Threshold Zone: Area below negative threshold (-2x maxSequence) indicating extremely strong bearish patterns approaching exhaustion levels
FTSE Trade SignalTrade FTSE with SMA crossovers and signals only printed on FTSE open, between 8am and 10am
SMA Trade Signal with BackgroundSMA Trade Signal with Background, using 5 & 20 simple moving averages, only showing buy signals during an uptrend and sells during a down trend.
Canyons Trend Ride SignalTrend alignment signals using 3 EMA's. pre-code written parameters must all be met to throw a signal out. Works best with Heiken ashi candles. Works on Gold, Nas100, S&P 500 and US30
Body & Volume-Based Buy/Sell Signals (5min 1.5M Vol)Only for 5 min and Volume 1.5M
Conditions (Summarized)
🔹 BUY Signal
Previous candle is red: close < open
Current candle is green: close > open
Previous candle body is smaller than current:
abs(close - open ) < abs(close - open)
Previous candle body size ≥ 10 points
Both candles' volume ≥ minVolume (default: 2,000,000)
➜ Plot BUY below green candle
🔸 SELL Signal
Previous candle is green: close > open
Current candle is red: close < open
Previous candle body is smaller than current:
abs(close - open ) < abs(close - open)
Previous candle body size ≥ 10 points
Both candles' volume ≥ minVolume
➜ Plot SELL above red candle
Bullish & Bearish Signals (Dual Mode, Strong Filters)on research related to bullish & bearish signal, understanding how ema, macd works...
#TheStrat Multi-Timeframe In-Force Signals, Failed 2's, and FTFCThis indicator combines #TheStrat concepts of bar combinations, in-force signals, and timeframe continuity with 'Failed 2's' which can be early indication of a trend reversal.
It’s designed to help identify the prevailing trend but also reversal points when timeframe-based ranges are reclaimed because a signal failed or went out-of-force.
Core Concepts
1. TheStrat Bar Types
• 1 (Inside Bar): High ≤ previous high and Low ≥ previous low.
• 2U (Two Up): High > previous high and Low ≥ previous low.
• 2D (Two Down): Low < previous low and High ≤ previous high.
• 3 (Outside Bar): High > previous high and Low < previous low.
2. Failed 2’s — Definition & Detection
A Failed 2 occurs when a directional break (2U or 2D) reverses before following through.
This script lets you choose from four failure-definition modes:
1. Open — A 2U fails if last price is below open; a 2D fails if last price is above open.
2. Reclaim — A 2U or 2D fails if last price is within the previous bar’s range.
3. Both — Both of the above conditions must be met.
4. Either — Either condition must be met.
Failed 2U setups are bearish; Failed 2D setups are bullish.
You can also enable FTFC Override, which ignores reclaim-type failures when all higher timeframes are in full agreement with the current trend.
3. Timeframe Continuity (TFC)
TFC measures directional agreement across multiple timeframes.
• Full TFC (FTFC) Up: All selected timeframes above their opens.
• Full TFC (FTFC) Down: All selected timeframes below their opens.
• Mixed or neutral conditions are also displayed.
The indicator tracks classic TFC and supports trend-flip alerts when full agreement changes direction.
Features
• Customizable TFC table showing bar types, failed status, in-force status, reclaims, and direction arrows.
• Automatic bar coloring for TFC alignment, failed-2 transitions, or neutral states.
• Alerts for TFC trend flips.
• Multi-timeframe scanning with selectable intervals.
• Option to highlight bars that trigger a TFC flip due to failed-2 events.
Use Cases
• Quickly gauge market bias across multiple timeframes
• Identify failed 2 reversals against higher timeframes
• Spot potential turning points when trend flips occur
Limitations
This is a tool which can give earlier indication of trend reversals but is highly dependent on selected timeframes. This is discretionary, but having a range of higher and lower timeframes works best. In many cases, it will give the same trend 'flip' that classic FTFC would (based on open).
Ranges are based on timeframes, not swing highs and lows. The selected timeframes must capture the swing high or low to show a 'range' reclaim.
Timeframes lower than the display timeframe cannot be accurately shown due to PineScript limitations. They are 'greyed out' and not included in calculations or displays.
This script is based on the FTFC indicator by TradeForOpportunity with deep gratitude. It has been modified and expanded with permission under MPL 2.0.
MACD (Panel) with Histogram-Confirmed Signals - Middle LineMacd indicator with buy and sell signals to help spot the macd signal crossover and histogram
Zero Lag Liquidity [AlgoAlpha]🟠 OVERVIEW
This script plots liquidity zones with zero lag using lower-timeframe wick profiles and high-volume wicks to mark key price reactions. It’s called Zero Lag Liquidity because it captures significant liquidity imbalances in real time by processing lower-TF price-volume distributions directly inside the wick of abnormal candles. The tool builds a volume histogram inside long upper/lower wicks, then calculates a local Point of Control (POC) to mark the price where most volume occurred. These levels act as visual liquidity zones, which can trigger labels, break signals, and trend detection depending on price interaction.
🟠 CONCEPTS
The core concept relies on identifying high-volume candles with unusually long wicks—often a sign of opposing liquidity. When a large upper or lower wick appears with a strong volume spike, the script builds a histogram of lower-timeframe closes and volumes inside that wick. It bins the wick into segments, sums volume per bin, and finds the POC. This POC becomes the liquidity level. The script then dynamically tracks whether price breaks above or rejects off these levels, adjusts the active trend regime accordingly, and highlights bars to help users spot continuation or reversal behavior. The logic avoids repainting or subjective interpretation by using fixed thresholds and lower-TF price action.
🟠 FEATURES
Dynamic liquidity levels rendered at POC of significant wicks, colored by bullish/bearish direction.
Break detection that removes levels once price decisively crosses them twice in the same direction.
Rejection detection that plots ▲/▼ markers when price bounces off levels intrabar.
Volume labels for each level, shown either as raw volume or percentage of total level volume.
Candle coloring based on trend direction (break-dominant).
🟠 USAGE
Use this indicator to track where liquidity has most likely entered the market via abnormal wick events. When a long wick forms with high volume, the script looks inside it (using your chosen lower timeframe) and marks the most traded price within it. These levels can serve as expected reversal or breakout zones. Rejections are marked with small arrows, while breaks trigger trend shifts and remove the level. You can toggle trend coloring to see directional bias after a breakout. Use the wick multiplier to control how selective the detector is (higher = stricter). Alerts and label modes help customize the signal for different asset types and chart styles.
Holy Grail Signal op EMA + ADXHolygrail + adx indicator with buy signals so you can buy at the yellow arrow
