RSI Divergences KittenRSI Divergences + Adjustable RSI σ-Bands + Band Pierce Signals (with optional US weekend filter)
Description:
This indicator combines three RSI tools into one clean workflow:
1. RSI σ-Bands (mean ± k·σ)
It builds dynamic upper/lower bands around RSI using a moving mean and standard deviation. These bands adapt to regime changes (expanding in volatile periods, contracting in quiet periods). Bands can be clipped to RSI’s natural 0–100 range and optionally filled for readability.
2. Band “Pierce” Signals
It prints a marker when RSI crosses outside the upper band (overextension) or outside the lower band (underextension). These pierces are useful as timing signals for mean-reversion setups, especially when you expect price to revert back toward a reference mean (e.g., VWAP). Optional “re-entry” markers show when RSI crosses back inside the bands.
3. Proper RSI Divergences (Regular + Hidden)
Divergences are detected using RSI pivots (not price pivots). At each RSI pivot, the script samples the corresponding price high/low on that pivot bar and compares it to the previous pivot within a configurable bar-distance window.
• Bullish divergence: price lower low + RSI higher low
• Hidden bullish: price higher low + RSI lower low
• Bearish divergence: price higher high + RSI lower high
• Hidden bearish: price lower high + RSI higher high
Line width is configurable for visibility.
Manual Band Adjustment (Near-Miss Control):
If your best reversals “nearly” tag the band, you can manually tune sensitivity without rewriting the math:
• Band offset (RSI points): nudges trigger levels
• Band width scale: tightens/widens the σ-band envelope
US Weekend Filter (Optional):
You can optionally suppress pierce/divergence signals during US weekend hours (Fri 17:00 ET → Sun 17:00 ET) and optionally shade those periods to help isolate low-liquidity behavior.
Notes / Intended Use:
This is designed as a mean-reversion timing tool, not a standalone trading system. For best results, combine signals with a market “mean” (e.g., rolling VWAP) and basic risk controls.
تحليل الاتجاه
Investment Analysis Bar v2What It Does
A comprehensive analysis bar combining fundamental metrics with technical signals, designed for long-term investors who prioritize quality over momentum.
Core Philosophy: Quality companies trading below their 200 EMA in accumulation zones = opportunities, not warnings.
Tier 1 Bar Metrics
Margins: GM, OM, NIM, FCF Margin
Returns: ROCE, ROE
Growth: Revenue YoY, EPS YoY
Valuation: PE TTM, Forward PE, PEG
Zone: Accumulate / Hold / Trim / Exit
Signal: PRIME / BUY / TRIM / SELL / NEUTRAL
Performance: 1W to 1Y returns
Two Strategy Modes
Value Accumulator (Default) - For long-term position building. Treats below-200-EMA as an opportunity when fundamentals are intact. PRIME signals require: RSI bounce + Volume + Accumulate Zone + All Quality Gates Pass + Below 200 EMA.
Trend Follower - Traditional momentum approach. Prefers entries above 200 EMA.
Quality Gates System
Four fundamental checkpoints:
Gross Margin ≥ 40%
ROCE ≥ 15%
Debt/Equity ≤ 50%
SBC/Revenue ≤ 15%
Strong signals require quality confirmation. PRIME signals require ALL gates to pass.
Zone System
Three calculation methods:
52W Range: Accumulate in bottom 25%, Trim in top 25%
Manual Levels: Set your own price targets
ATR-Based: Dynamic zones from EMA ± ATR
Signal Hierarchy (Value Mode)
SignalMeaning
PRIME 💎Optimal entry - all conditions aligned
BUY 🔼Strong accumulation signal
BUY? ↗Decent entry, not ideal zone
ACCUM 🎯In accumulation zone, quality OK
WAIT ⏳Setup forming, no bounce yet
TRIM 📤Consider taking profits
Alerts Included
Zone transitions (Accumulate, Trim, Exit)
PRIME Entry Signal
Strong Buy / Sell signals
Quality Gate failures
Quality Accumulation Setup
Best Used On
US stocks with fundamental data available. Technical features work on all symbols.
Settings
Fully customizable:
Toggle each metric category
Adjust quality gate thresholds
Choose zone calculation method
Configure RSI/volume parameters
Position bar and panel anywhere
ARM-EMA COLOR BUY SELLPrice action trading is about reading what the market is doing, so you can deploy the right trading strategy to reap the maximum benefits. In simple words, price action is a trading technique in which a trader reads the market and makes subjective trading decisions based on the price movements, rather than relying on technical indicators or other factors.
At its most simplistic, it attempts to describe the human thought processes invoked by experienced, non-disciplinary traders as they observe and trade their markets. Price action is simply how prices change - the action of price. It is most noticeable in markets with high liquidity and price volatility, but anything that is traded freely (in price) in a market will per se demonstrate price action.
MA Cross + Trend Stats (Probabilistic)Short description (one-liner)
A MA-regime framework with historical regime stats + forward performance + optional trend/noise filters for trending context.
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Full description (TradingView-ready)
Overview
This indicator turns a classic Moving Average Cross into a regime-based trend dashboard. Instead of treating a cross as a standalone “buy/sell” event, it measures what historically happened after similar regime shifts on the current symbol and timeframe, and displays the results in a compact table.
It supports:
• EMA or SMA
• Custom fast/slow lengths (including .5 lengths via floor/ceil averaging)
• Optional trend quality filters for trending decisions:
o Slope filter (Slow MA slope)
o Market noise filter using Efficiency Ratio (ER) in real time
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What the table shows (how to read it)
The table has two rows: Bull (Fast > Slow) and Bear (Slow > Fast). Metrics are computed on completed regimes (historical segments that already ended).
N
Number of completed regimes measured. More samples generally means more stable estimates.
μ Δ% / Med Δ%
Average and median regime return from regime start to regime end. Median helps reduce the impact of outliers.
⏱ Bars
Average regime duration (in bars). Useful to calibrate realistic holding expectations for trending.
⬆ MFE% / ⬇ MAE%
• MFE (Maximum Favorable Excursion): max move in favor during the regime
• MAE (Maximum Adverse Excursion): max move against during the regime
These are context metrics for typical run-up and typical heat.
ER μ | Hit
Trend-quality proxy:
• ER μ: average Efficiency Ratio during regimes (0–1, higher = more directional / less noisy)
• Hit: % of regimes with ER above the historical threshold you set
Forward performance (+H μ|Hit)
For two user-defined horizons (e.g., +10 / +20 bars):
• μ: average forward return after the cross
• Hit: probability (%) that the forward return was positive
This is designed to provide probabilistic context, not certainty.
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“Trending” decision filters (optional)
These filters apply to signals/alerts/markers, not to the raw regime statistics:
1. Slope filter (Slow MA):
Only allow Bull signals if the Slow MA slope is positive (and Bear signals if negative).
2. Market noise filter (ER realtime):
Only allow signals when current ER exceeds your chosen threshold (helps avoid choppy conditions).
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Suggested usage (educational)
• Treat Bull/Bear as a regime label (state), not a prediction.
• Use Forward Hit% as an estimate of historical frequency, not a guarantee.
• If ER realtime is below threshold, consider it a noisier environment (higher whipsaw risk).
• Combine with your own risk rules and confirmation (structure, volatility, volume, HTF context, etc.).
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Notes
• Results depend on symbol, timeframe, and loaded history.
• Statistics are historical summaries and can change as more data becomes available.
• This tool is intended for research and decision support, not as standalone trade advice.
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Disclaimer
This script is for educational and informational purposes only and does not constitute financial, investment, or trading advice. Trading involves risk. You are responsible for your own decisions and risk management.
Bollinger Bands + MA 50/100/200📊 Bollinger Bands + MA 50 / 100 / 200 Indicator
This indicator combines Bollinger Bands with key Moving Averages (50, 100, 200) to help you spot trend direction, volatility, and potential reversal zones in one clean view.
🔹 Bollinger Bands
* Customizable length & MA type (SMA, EMA, RMA, WMA, VWMA)
* Visualizes market volatility
* Upper & lower bands help identify overbought / oversold conditions
🔹 Moving Averages
* MA 50 → Short-term trend
* MA 100 → Medium-term trend
* MA 200 → Long-term trend & major support/resistance
* Easy toggle on/off for clean charting
💡 How to use
* Price near upper band + strong MA trend → possible continuation
* Price near lower band → watch for bounce or breakdown
* MA alignment (50 > 100 > 200) → bullish trend
* MA cross & BB squeeze → potential breakout incoming
⚠️ Best used with price action & risk management
📌 Works on stocks, crypto, forex, indices
ORB Breakout & RetestORB Breakout & Breakdown Indicator - Complete Opening Range Strategy
Description :
The ORB (Opening Range Breakout) Breakout & Retest Indicator is a simple tool designed to identify opening range breakouts and breakdowns with retest confirmation. This indicator works on ANY timeframe while automatically analyzing 1-minute price action to detect precise entry signals.
What makes this indicator unique:
- ✅ Multi-Timeframe ORB Analysis - Simultaneously tracks 5-min, 15-min, and 30-min opening ranges
- ✅ Smart Retest Logic - Filters false breakouts by requiring price to retest and confirm the level
- ✅ Works on Any Chart Timeframe - View on 5-min, 15-min, 1-hour, or daily charts while getting 1-minute precision
- ✅ Both Long & Short Signals - Detects bullish breakouts AND bearish breakdowns
- ✅ Customizable Alerts - Get notified when confirmed setups occur
- ✅ Clean Visual Display - Compact table showing all ORB levels and signal status
How it Works:
Opening Range Detection :
- 5-Min ORB: Captures high/low from 9:30-9:35 AM
- 15-Min ORB: Captures high/low from 9:30-9:45 AM
- 30-Min ORB: Captures high/low from 9:30-10:00 AM
Breakout Confirmation (3-Step Process) :
1. Initial Break - Price closes above ORB High (or below ORB Low for shorts)
2. Retest - Price pulls back to retest the broken level
3. Confirmation - Price breaks through again, confirming the trend
This retest requirement dramatically reduces false signals and helps you enter trades with better risk/reward.
Perfect For :
- Day traders looking for opening range strategies
- Scalpers who need precise entry signals
- Swing traders identifying strong intraday momentum
- Anyone trading stocks, futures, forex, or crypto during market hours
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⚙️ Settings & Customization :
Display Options :
- ☑️ Show ORB High (Default: OFF) - Display the high of each opening range in the table
- ☑️ Show ORB Low (Default: OFF) - Display the low of each opening range in the table
- ☑️ Show Breakout+Retest (Default: ON) - Show bullish breakout confirmation status
- ☑️ Show Breakdown+Retest (Default: ON) - Show bearish breakdown confirmation status
Alert Options :
- ☑️ Enable 5-Min Alerts (Default: OFF) - Get alerts for 5-minute ORB confirmations
- ☑️ Enable 15-Min Alerts (Default: OFF) - Get alerts for 15-minute ORB confirmations
- ☑️ Enable 30-Min Alerts (Default: OFF) - Get alerts for 30-minute ORB confirmations
Visual Indicators :
- Green triangles (▲) below bars = Breakout confirmed (bullish)
- Red triangles (▼) above bars = Breakdown confirmed (bearish)
- Triangle sizes: Tiny (5-min), Small (15-min), Normal (30-min)
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Table Legend:
Timeframe Row: Shows the three ORB periods being tracked
ORB High Row: (Optional) The highest price during each opening range period
ORB Low Row: (Optional) The lowest price during each opening range period
Breakout+Retest Row:
- 🟢 YES = Bullish setup confirmed (price broke high, retested, and confirmed)
- 🔴 NO = No confirmed bullish setup yet
- ⚪ N/A = Opening range not yet established
Breakdown+Retest Row:
- 🟢 YES = Bearish setup confirmed (price broke low, retested, and confirmed)
- 🔴 NO = No confirmed bearish setup yet
- ⚪ N/A = Opening range not yet established
How to Use :
1. Add to Chart - Works best on stocks, futures, and indices with regular market hours (9:30 AM EST open)
2. Choose Your Timeframe - View on any timeframe; indicator automatically analyzes 1-minute data
3. Monitor the Table - Watch for "YES" signals in Breakout or Breakdown rows
4. Set Alerts - Enable alerts for your preferred ORB timeframes
5. Plan Your Trade - Use ORB levels as entry points and initial stop-loss levels
Tips :
- Combine multiple timeframe confirmations for higher probability setups
- Use ORB High/Low levels as natural support/resistance zones
- The 5-min ORB gives faster signals; 30-min ORB gives stronger trends
- Best results typically occur in the first 1-2 hours after market open
- Works on all markets but optimized for regular trading hours (9:30 AM EST)
Key Features Summary :
✓ Multi-timeframe opening range tracking (5, 15, 30-minute)
✓ Retest confirmation logic to filter false breakouts
✓ Works on any chart timeframe with 1-minute precision
✓ Bullish and bearish signal detection
✓ Customizable visual display with toggle options
✓ Individual alerts for each timeframe and direction
✓ Clean, professional table interface
✓ No repainting - signals are final once confirmed
✓ Suitable for all experience levels
Simple Trend Pullback Tool (EMA) v1.1Simple Trend Pullback Filter (EMA)
Overview This script is a lightweight, objective tool designed to filter out market noise and identify high-probability entry zones in trending markets. Built on the core principle of "The Rising Tide," it utilizes a dual-EMA cloud to visualize the trend’s health and highlight where the price is likely to find support after an overextended breakout.
How It Works
Trend Identification: The script tracks the alignment between the EMA 50 and EMA 200. When the price is consistently above this "Cloud," the market is in a confirmed uptrend.
The Pullback Logic: Instead of chasing breakouts (which often lead to FOMO-driven losses), this tool highlights the 'Mean Reversion' zone. It signals an entry when price action "pulls back" into the EMA cloud while the primary trend remains bullish.
Simplicity First: There are no laggy oscillators or repainting signals. It uses price action relative to time-weighted moving averages to keep your chart clean and your decisions logical.
Example Use Case: $CUU.V and NASDAQ:RKLB In the current market (December 2025), we see high-velocity breakouts in sectors like Space and Copper. While a stock like Copper Fox ($CUU.V) may jump 28% on merger news, this script helps traders wait for the necessary consolidation back toward the EMA 20/50 support before committing capital.
Settings
EMA 1 (Fast): Default 50 — Tracks intermediate momentum.
EMA 2 (Slow): Default 200 — The "Line in the Sand" for long-term trend direction.
BTC - AXIS: Coppock + Williams %R CompositeTitle: BTC - AXIS: Coppock + Williams %R Composite | RM
Overview & Philosophy
AXIS (Advanced X-Momentum Intensity Score) is a specialized momentum composite designed to identify market structural shifts. In physics, an axis is the central line around which a body rotates; in this indicator, the Zero-Baseline acts as the AXIS for capital flow.
By fusing a slow-moving momentum engine ( Coppock Curve ) with a high-sensitivity tactical oscillator ( Williams %R ), this tool filters out the "market noise" that leads to overtrading and focuses on the high-conviction "Trend-Aligned Dips."
Methodology
Most indicators either suffer from too much lag (Moving Averages) or too much noise (Standard RSI). AXIS solves this through "Speed-Balanced Normalization."
1. Macro Engine (Coppock Curve): Named after Edwin Coppock, this component identifies major market bottoms by smoothing two separate Rates of Change (RoC). It is your structural compass.
2. Tactical Trigger (Williams %R): Created by Larry Williams, this measures the current close relative to the High-Low range.
• Re-centered Logic: Standard Williams %R oscillates between 0 and -100. Here, this is re-centered to oscillate around zero, ensuring it interacts mathematically correctly with the Coppock baseline.
3. The AXIS Score: The Composite line (Orange) is the weighted sum of these two engines. It provides a singular view of the market's "Net Momentum Intensity."
How to Read the Chart
🟧 The AXIS Composite (Orange Line): The primary signal line. It tracks the speed and exhaustion of the price by fusing macro and tactical data.
• Red Zone (> 150): Overheated. Short and long-term momentum are at extreme highs. Risk of a blow-off top or local reversal is high.
• Green Zone (< -150): Capitulation. The market is statistically exhausted. Historically, these zones represent high-conviction accumulation areas.
• Bullish Momentum (> 0): The market is rotating above the central Axis. Buyers are in control of the trend.
• Bearish Momentum (< 0): The market is rotating below the central Axis. Sellers are in control of the trend.
🟦 The Coppock Line (Blue): The macro filter. When Blue is above 0, the long-term trend is up.
🟥 The Williams %R Line (Red): The short-term cycles. Watch for divergences here to spot early trend fatigue.
Strategy: The "AXIS Alignment" Signal
The highest-conviction entry point—and the primary "Alpha" of this tool—occurs when:
The macro trend is Bullish ( Blue Line > 0 ).
The market experiences a correction, pushing the Orange (AXIS) Line into the Green Capitulation Zone.
The AXIS Score turns back upward.
This indicates that a short-term panic has been absorbed by a long-term bull trend—the ideal "Buy the Dip" scenario.
Settings
• Long/Short RoC: Standardized to 14/11 for cycle accuracy.
• Weighting: Allows you to prioritize trend (Coppock) or cycle sensitivity (%R).
• Visibility Toggles: Fully customizable display switches for each line.
Credits
• Edwin Coppock: For the foundation of long-term recovery momentum.
• Larry Williams: For the Percent Range methodology.
⚠️ Note: This indicator is optimized for the Daily (1D) Timeframe. Please switch your chart to 1D for accurate signal reading.
Disclaimer
This script is for research and educational purposes only. Past performance does not guarantee future results.
Tags
bitcoin, btc, axis, momentum, oscillator, coppock, williams r, on-chain, valuation, cycle, Rob Maths
Friday Statistical Zones - Last 30 Fridays Only BTC 📊 Friday Statistical Zones (Pre / Dump / After)
This indicator highlights statistical risk zones for Fridays, based on the last 30 completed Fridays.
It analyzes historical price and volume behavior to determine:
• When a Pre-Dump phase typically starts
• When selling pressure statistically peaks
• When the After-Dump phase usually occurs
The result is a time-based overlay with three zones:
🟡 Pre-Dump · 🔴 Dump · 🟡 After-Dump
⚠️ This is not a signal indicator.
It does not predict price direction.
It provides risk-timing context only.
Best used for risk management and situational awareness on Fridays, not as a standalone trading strategy.
RS of long term KSTDescription
Relative Strength of KST (Know Sure Thing) momentum between a stock and a reference index (e.g., Intesa San Paolo vs. FTSEMIB).
This indicator computes the KST oscillator separately for the chart symbol and the comparative symbol, then plots the difference (stock KST minus index KST). A positive or rising value indicates the stock has stronger momentum than the benchmark.
Best used on weekly timeframes.
Features:
- Fully configurable KST parameters (ROC lengths, SMA smoothing, weights).
- Signal line (SMA of the RS of KST) for potential crossover signals.
- Zero line for reference.
Rising values or crossings above the signal line may suggest improving relative momentum.
What the Script Does
This indicator calculates the Relative Strength of the KST momentum oscillator between the current chart symbol (e.g., a stock) and a comparative symbol (default: FTSEMIB).
KST Calculation (Know Sure Thing oscillator, originally developed by Martin Pring), computes four Rate-of-Change (ROC) values with different lengths (10, 13, 15, 20 by default). Each ROC is smoothed with its own SMA. The four smoothed ROCs are weighted (weights 1, 2, 3, 4 by default) and summed to create the final KST value.
This is done separately for: The chart symbol → kst
The comparative symbol → kstSymbol
Relative Strength of KST res = kst - kstSymbol
This is a subtraction-based relative strength (difference) of the two KST values, not a ratio, as to avoid singularity (division by zero).
A rising line or value above zero means the stock’s momentum (KST) is stronger than the index’s momentum.
Plotting Plots the RS of KST as a blue line.
Overlays a gray SMA (default length 10) with cross style (acts as a signal line).
Horizontal line at zero for reference.
This is best used on weekly charts (as KST is typically a longer-term momentum indicator).
UIA TrendCompass V1.0UIA TrendCompass v1.0 is a market structure interpretation tool designed to visualize trend states in real time.
The script identifies four structural states based on price behavior and trend continuity:
• T — Trend Start
• E — Trend Extension
• H — Structural High / Low
• X — Trend Exit / Reversal
This indicator is intended for market structure analysis and educational purposes only.
It does NOT provide trading signals, buy/sell recommendations, or investment advice.
All labels are generated based on historical price data and do not predict future market movements.
Users should combine this tool with their own analysis and risk management framework.
This script is provided "as is" with no guarantee of accuracy or performance.
Relative StrengthDescription
Relative Strength between a stock and a reference index (e.g., Intesa San Paolo vs. FTSEMIB).
This indicator calculates the Relative Strength (RS) as either a simple ratio of the base symbol's close to the comparative symbol's close, or as a normalized ratio over a lookback period. It helps identify the relative performance of a stock against an index, which can signal intermediate trends when the RS is above its moving average.
Key features:
- Input for comparative symbol (default: FTSEMIB).
- Option to toggle between simple ratio or ratio-over-time calculation.
- Adjustable lookback period for the ratio-over-time method.
- Optional display of a moving average on the RS line for trend analysis.
Use it to compare a stock's strength to the market—rising RS may indicate outperformance.
Script Overview
This is a Relative Strength (RS) indicator for TradingView (written in Pine Script version 5).
It compares the price performance of the current chart's symbol (e.g., a stock like Intesa San Paolo) against another symbol you choose (by default, the Italian index FTSEMIB).
The goal is to show whether the stock is outperforming or underperforming the reference index.
User Inputs (configurable in the settings panel)
Comparative Symbol Default: FTSEMIB
You can change it to any other ticker (e.g., SPX, DAX, etc.).
Calculate RS as simple ratio (true) or ratio over time (false)?
true (default): Simple ratio → current close of stock ÷ current close of index.
false: Ratio of returns over a lookback period (more normalized, less affected by absolute price levels).
Lookback Period (default 40 - weeks)
Only used when the above option is set to false.
Defines how many bars back to calculate the price change.
Show Moving Average (default off)
Optionally overlays a simple moving average on the RS line.
Moving Average Period (default 40 - weeks)
Length of the SMA when the MA is enabled.
Typical Use CaseTraders often look for:
Rising RS line → the stock is gaining strength vs. the index.
RS crossing above its moving average → potential bullish signal for relative performance.
Declining or falling RS → the stock is weakening vs. the broader market.
In summary, this is a clean and flexible relative strength comparator that lets you quickly visualize how strongly (or weakly) a stock is performing compared to a benchmark index, with two different calculation methods to suit different analytical preferences.
Market Phase Dashboard MTFGetting into a trade is the easy part. if anyone out there could use a little assistance in knowing when to exit a trade this ones for you..
This is a Market Phase Dashboard MTF (Multi-Timeframe) that classifies market conditions into 4 distinct phases based on trend + momentum alignment. Here's what it does:
The 4 Market Phases:
CONTINUATION 🟢 - Uptrend (EMA rising) + Strong momentum (RSI > 55)
Translation: "Trend is strong, keep riding it"
SLOWING 🟠 - Two scenarios:
Uptrend but momentum fading (RSI ≤ 55), OR
Downtrend but momentum not fully committed (RSI ≥ 45)
Translation: "Trend losing steam, be cautious"
EXHAUSTION 🔴 - Downtrend (EMA falling) + Weak momentum (RSI < 45)
Translation: "Trend is dying, possible reversal coming"
NEUTRAL ⚪ - Anything that doesn't fit above (shouldn't happen much with these thresholds)
Multi-Timeframe View:
Shows phases for:
Chart TF - Whatever timeframe you're viewing (only updates on confirmed bar close)
5m - Always shows 5-minute phase
15m - Always shows 15-minute phase
Visual Cues:
Background color changes based on the live chart timeframe phase (updates in real-time, not waiting for bar close)
Table shows confirmed phases for all timeframes
Practical Use:
Helps you understand if different timeframes are aligned. For example:
All 3 showing CONTINUATION = strong aligned trend, high confidence trades
15m EXHAUSTION but 5m CONTINUATION = possible short-term bounce in downtrend
Mixed signals = choppy/transitional market, stay cautious
It's basically a trend health checker across multiple timeframes at a glance! I am also in the works of adding every higher time frame so that it will consist of 5 min all the way to the 12 mo time frame i will keep you guys updated as i update this indicator.
Seasonality Table: % Move by Day x Month (Open vs Prev Close)Short description
A compact seasonality heatmap that shows the average daily open vs previous session close move for each calendar day (1–31) across months (Jan–Dec).
What it does
This indicator builds a Day × Month table where each cell displays the historical average of:
(Open/Close-1) -1 x 100
In other words: how the market typically “opened” relative to the prior day’s close, grouped by day of month and month.
How to read it
Rows = Day of month (1–31)
Columns = Months (Jan–Dec)
Cell value = average percentage move (signed format like +0.23% or -0.33%)
Heatmap = stronger color intensity indicates larger absolute average moves
Today highlight = the current calendar day cell is visually highlighted for fast context
Key settings
Reference timeframe (Daily): uses daily session data as the source of truth
Decimals / Signed formatting: control numeric display
Theme controls: fully customizable colors for positive/negative/neutral cells, headers, labels, and text
Font sizes: independently adjust header/labels/values
Heatmap scaling: set “max abs (%)” to match the volatility of the instrument
Notes / limitations
The indicator depends on the historical data available on TradingView for the selected
symbol and timeframe.
This is a statistical visualization tool. It does not predict future returns and does not generate trade signals.
Disclaimer
This script is for educational and informational purposes only and is not financial advice. Trading involves risk. Always do your own research and use proper risk management.
Seasonality Table - [JTCAPITAL]Seasonality Table - is a modified way to use monthly return aggregation across multiple assets to identify seasonal trends in cryptocurrencies and indices.
The indicator works by calculating in the following steps:
Asset Selection
The user defines a list of assets to include in the seasonality table. By default, the script allows up to 32 assets, including popular cryptocurrencies like BTC, ETH, BNB, XRP, and others. Each asset is identified by its symbol (e.g., "CRYPTO:BTCUSD").
Monthly Return Calculation
For each asset, the script requests monthly price data using request.security. Specifically, it retrieves the monthly open, close, and month number. The monthly return is calculated as:
Return = (Close - Open) / Open
This step provides a normalized measure of performance for each asset per month.
Data Aggregation
The script stores two key arrays for each asset and month combination:
sumReturns: The cumulative sum of monthly returns
countReturns: The number of months with valid data
This allows averaging returns later while handling months with missing data gracefully.
Table Construction
Rows representing months (January–December)
Columns representing each asset
An additional column showing the average return for all assets per month
A final row showing the yearly average return for each asset
Filling the Table
The table cells are filled as follows:
Monthly returns are averaged for each asset and displayed as a percentage.
Positive returns are colored green, negative returns red.
Missing data is displayed as a gray “—” placeholder.
Each row’s values are normalized for the color gradient to show relative performance.
Averages Computation
The script calculates two types of averages:
Monthly Average Across Assets : Sum of all asset returns for a month divided by the number of valid data points.
Yearly Average Per Asset : Sum of all monthly returns for an asset divided by the number of months with valid data.
These averages are displayed in the last column and last row respectively, with gradient coloring for visual comparison.
Buy and Sell Conditions
This indicator does not generate explicit buy or sell signals. Instead, it provides a visual heatmap of historical seasonality, allowing traders to:
Identify months where an asset historically outperforms (bullish bias)
Identify months with weak historical performance (bearish caution)
Compare seasonal patterns across multiple assets for portfolio allocation
Filters can be applied by adjusting the asset list, changing the color mapping, or focusing on specific months to highlight seasonal anomalies.
Features and Parameters
Number of assets: Set how many assets are included in the table (1–32).
Assets: Input symbols for the assets you want to analyze.
Low % Color: Defines the color for the lowest monthly returns in the gradient.
High % Color: Defines the color for the highest monthly returns in the gradient.
Cleaned asset names for concise display.
Gradient-based visualization for easier pattern recognition.
Monthly and yearly averages for comparative analysis.
Specifications
Monthly Return Calculation
Uses the formula (Close - Open) / Open for each asset per month. This standardizes performance across different price scales and ensures comparability between assets.
Arrays for Storage
sumReturns: Float array storing cumulative monthly returns.
countReturns: Integer array storing the number of valid data points per month.
These arrays allow efficient aggregation and average calculations without overwriting previous values.
Data Retrieval via Security Calls
Requests monthly OHLC data for each asset using request.security.
Ensures calculations reflect the correct timeframe and allow for historical comparison.
Color and Text Assignment
Green text for positive returns, red for negative returns.
Gray cells indicate missing data.
Gradient background shows relative magnitude within the month.
Seasonality Analysis
The table visually encodes which months historically produce stronger returns.
Useful for portfolio rotation, risk management, and identifying cyclical trends.
Scalability
Supports up to 32 assets.
Dynamically adapts to the number of assets and data availability.
Gradient scales automatically per row for consistent comparison.
Order Flow: Structural Sniper [Profile + Signals]Overview
This script is a comprehensive tool designed to bridge the gap between Market Structure and Order Flow analysis. It aims to eliminate the subjectivity of static support and resistance lines by focusing on dynamic liquidity and the behavior of aggressive versus passive market participants.
Unlike traditional indicators that plot static data, the Structural Delta Map dynamically anchors its analysis to the start of the current trend (Pivots), providing a clear "X-Ray" view of how volume was distributed during the current price swing.
How it Works
The indicator combines three distinct technical concepts into a single system:
1. Market Structure (Pivots):
It uses a pivot detection algorithm to identify significant Swing Highs and Swing Lows. This determines the market bias and anchors the analysis to the origin of the movement.
2. Anchored VWAP (Fair Price):
It automatically calculates the Volume Weighted Average Price (VWAP) starting from the last confirmed pivot. This yellow line acts as the "spine" of the trend, serving as dynamic institutional support/resistance.
3. Delta Profile & Heatmap:
A Volume Profile is plotted on the left side, anchored to the pivot.
Split Delta: Instead of a single color, bars are split into Green (Buying Volume) and Red (Selling Volume) based on price action estimation.
Heatmap Logic: The opacity of the bars adjusts automatically. Bright/Solid bars represent High Volume Nodes (HVN), while transparent bars represent Low Volume Nodes (LVN) or liquidity voids.
How to Use (Strategy)
The indicator provides both visual context and specific entry signals:
1. Visual Context:
Profile: Look for reactions at bright, wide bars (High Volume Nodes). These act as magnets or barriers.
Yellow Line (VWAP): In an uptrend, look for buy opportunities when price retraces to this line. In a downtrend, look for shorts on the retest.
2. Aggression Signals (Triangle "AGR"):
Type: Trend Continuation / Pullback.
Logic: Triggers when price retraces to the structural value zone (near VWAP), rejects it with higher-than-average volume, and closes in the direction of the trend.
3. Absorption Signals (Cross "ABS"):
Type: Reversal / Trap.
Logic:
Bullish Absorption: Price makes a new local low with high volume (selling pressure), but the candle closes bullish (leaving a long bottom wick). Passive buyers absorbed the aggression.
Bearish Absorption: Price makes a new local high with high volume, but closes bearish. Passive sellers absorbed the buying pressure.
Settings
Pivot Sensitivity: Adjusts how the script detects trend changes.
Profile Resolution: Controls the number of rows in the histogram.
Signal Filters: Enable/Disable signals and adjust the Volume Multiplier threshold.
Technical Disclaimer
This indicator estimates "Delta" (Buy vs. Sell volume) based on OHLC price action and bar volume, as Pine Script does not grant access to historical tick-by-tick data. While this approximation is highly effective for identifying aggression and absorption, it differs slightly from Level 2 footprint data found on platforms like Sierra Chart. Accuracy depends on the volume data provided by your exchange.
CAHOLD / CBLOHDCAHOLD (Close Above Highest Low Day) and CBLOHD (Close Below Lowest High Day)
The logic is based on identifying pullbacks followed by strength in the direction of the trend, making it useful as a trend-continuation entry signal rather than a reversal tool.
⸻
How CAHOLD Works (Bullish)
1. A sequence of red candles forms (a pullback).
2. The first green candle appears.
3. The script identifies the highest high of the prior red-candle sequence (HOLD).
4. A CAHOLD signal triggers when a green candle closes above that HOLD level.
5. A small green arrow is plotted below the candle.
⸻
How CBLOHD Works (Bearish)
1. A sequence of green candles forms (a bounce).
2. The first red candle appears.
3. The script identifies the lowest low of the prior green-candle sequence (LOHD).
4. A CBLOHD signal triggers when a red candle closes below that LOHD level.
5. A small red arrow is plotted above the candle.
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Optional Filters
• EMA / SMA Trend Filter
Only shows CAHOLDs in uptrends and CBLOHDs in downtrends.
• Minimum Pullback Depth
Requires a minimum number of red/green candles before a signal can trigger.
• ATR Breakout Filter
Requires price to break the level by a volatility-adjusted amount.
Hardwaybets Strat Market Checklist Trading## **Hardwaybets TheStrat Market Checklist Engine**
**A Checklist-Driven TheStrat Trading**
---
### **Overview**
This script is an **informational market context and permission framework** designed to help users **organize structural and liquidity information** in a clear, checklist-based format.
It evaluates **price context only** and displays the results in a table.
It does **not** generate trade signals or trading instructions.
---
### **What This Script Does**
The indicator evaluates and displays:
* Nearest prior **Area of Interest (AOI)**
(Previous Day High/Low or Previous Week High/Low)
* Higher-timeframe structural bias (Daily & Weekly)
* Proximity to liquidity
* Liquidity behavior (acceptance vs rejection)
* **Strat pattern classification only** (12 canonical patterns)
* A final **permission state** based on the above conditions
All information is presented as **contextual reference data**, not execution guidance.
---
### **What This Script Does NOT Do**
* ❌ No buy or sell signals
* ❌ No arrows, markers, or execution prompts
* ❌ No entries, exits, stops, or targets
* ❌ No performance metrics or profitability claims
* ❌ No strategy or backtesting logic
The word **“TRADE”** in the dashboard refers to **permission status only**, not a recommendation to trade.
---
### **Dashboard Modes**
* **Full Mode**: displays AOI price and distance (points & ticks)
* **Compact Mode**: minimal checklist view for reduced screen usage
Both modes are **informational only**.
---
### **Pattern Classification**
The script identifies and labels Strat candle pattern **types only**, including:
* Reversal patterns
* Continuation patterns
* Compression patterns
* Expansion patterns
Pattern labels are **descriptive classifications**, not signals or instructions.
---
### **Intended Use**
This script is intended to be used as a **contextual reference tool** alongside a user’s own analysis, rules, or education.
It may be useful for:
* Market structure study
* Liquidity behavior observation
* Pattern classification review
* Educational purposes
---
### **Technical Notes**
* Pine Script® v6
* Uses completed candles only
* No repainting logic
* No future data access
* Table-based UI only
---
### **Disclaimer**
This indicator is provided **for educational and informational purposes only**.
The author does not provide financial advice, trading recommendations, or execution guidance.
All trading decisions remain the sole responsibility of the user.
---
### **Conceptual Attribution**
This script is inspired by publicly available market structure concepts commonly referred to as “The Strat” methodology.
No proprietary or paid content is included.
---
### **Feedback**
Constructive feedback and suggestions are welcome.
Please note that this script is intentionally **non-signaling by design**.
MarketMind LITEM🜁rketMind LITE ────────────────────
Essential Market Awareness, Reduced to Its Core
M🜁rketMind LITE is a lightweight market awareness tool designed to display essential situational context .
It provides basic orientation and movement awareness without interpretation, risk framing, diagnostics, or decision guidance.
This script is designed as a standalone awareness layer. It does not evaluate trade quality, issue signals, or influence decision-making.
WHAT IT DOES ────────────────────
M🜁rketMind LITE presents a minimal, static view of current market conditions focused entirely on awareness rather than analysis.
The system displays only essential context, allowing traders to stay oriented without introducing judgment, noise, or implied direction.
The script provides visibility into:
Time-of-day session context
Basic market regime classification (trending, range-bound, mixed)
Short-term momentum direction only (up, down, neutral)
A clean, static HUD display
M🜁rketMind LITE also includes a minimal visual state indicator that reflects recent price responsiveness, intended to be observed over time alongside the trader’s own experience.
The goal is to support awareness without influence .
HOW TO USE IT ────────────────────
M🜁rketMind LITE is not a signal generator.
It is designed to remain visible in the background of any chart, offering quiet orientation while traders rely entirely on their own process for analysis and execution.
Common use cases include:
Maintaining session awareness
Preserving context during focused trading periods
Reducing cognitive load while monitoring markets
M🜁rketMind LITE does not evaluate risk, alignment, or opportunity.
It simply shows what is happening.
DESIGN PHILOSOPHY ────────────────────
M🜁rketMind LITE is intentionally minimal.
It includes only essential awareness elements and excludes all interpretive or evaluative logic:
Situational context only
Directional momentum (up / down / neutral)
No diagnostics, confidence, or conviction framing
No process, risk, or quality assessment
Presentation controls only (HUD on/off, size, position)
Nothing is inferred.
Nothing is suggested.
This script shows market state without interpretation.
WHO IT IS FOR ────────────────────
M🜁rketMind LITE is suited for traders who:
Want passive situational awareness
Prefer minimal on-chart information
Already operate with a defined decision process
It is not designed for:
Analytical or diagnostic use
Risk evaluation or context synthesis
Traders seeking guidance or confirmation
IMPORTANT NOTES ────────────────────
M🜁rketMind LITE does not provide financial advice
No system can predict future price behavior
This tool is designed for awareness only
Used appropriately, M🜁rketMind LITE helps traders stay oriented without interference.
Markov: Transition Matrix [Daily Timeframe]Description
This indicator computes a 3-state Markov chain from price action and visualizes the transition probabilities between daily states:
• Up: daily % change > threshold
• Down: daily % change < -threshold
• Sideways: |daily % change| ≤ threshold
From those states, it builds transition matrices:
• Today → Tomorrow (1 day ahead)
• Today → In 2 days
• Today → In 3 days
Each matrix cell shows:
P(next state | current state)
Rows are the current state (today), columns are the future state (tomorrow / +2 / +3).
Each row sums to 100% (when there is sufficient sample size).
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How to read it (trader workflow)
1. Identify the current regime (the most recent confirmed daily state).
2. Look at the row matching that regime:
• The ★ marks the highest probability outcome for that row (most likely next state).
• Heatmap intensity increases as probability increases.
• Each row shows its own sample size (n=...) so you can judge statistical support.
3. Use Quick-read:
• “Now” = current regime
• “Best” = top conditional outcome + probability
• “2nd” = second-best outcome + probability
4. Use Universe (N):
• Shows the marginal distribution: how often days are Up/Down/Sideways across the whole dataset.
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Settings
Core logic
• Sideways threshold: controls how strict “Sideways” is.
Example: 0.001 = ±0.10% daily move is considered Sideways.
Display
• Toggle 1D / 2D / 3D matrices.
• Highlight best probability per row (★).
• Show n per row (row transition count).
• Focus: current state row only to reduce noise and speed decision-making.
• Quick-read row for the current regime.
Theme (fully customizable)
All colors can be customized:
• Up / Down / Sideways base colors
• Header background + header text
• Values text
• Quick-read neutral background
This makes it suitable for both light and dark chart themes.
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Notes / Limitations
• The indicator is designed for daily sessions. It uses daily close-to-close returns to classify states and update the Markov chain once per day.
• On very volatile assets, a very small threshold can make Sideways rare. If you want a more frequent Sideways regime, increase the threshold.
• This is a statistical visualization tool, not a trading system.
________________________________________
Disclaimer (TradingView-friendly)
This script is provided for educational and informational purposes only and does not constitute financial advice. Trading involves risk. Past probabilities do not guarantee future results. Use at your own discretion and always apply proper risk management.
