Reversal Strength with Momentum Ratings on 4hr charts Here's a quick breakdown of what you'll see on your chart and how to actually use the indicator!
Reversal Labels:
↑ = Bullish reversal (price reversing upward)
↓ = Bearish reversal (price reversing downward)
STRONG (bright green/red) = High-confidence reversal (score > 65)
weak (faded green/red) = Low-confidence reversal (score ≤ 65)
Number on label = Reversal strength score (0-100)
Momentum Table (Top Right):
Overall Score (0-100) = Total momentum strength
Green (80+) = Very strong momentum
Yellow (40-60) = Moderate momentum
Orange/Red (<40) = Weak/stalling momentum
Individual Momentum Scores (each worth 0-20 points):
Volume = How much trading activity vs average
Price ROC = How fast price is moving (rate of change)
MA Spacing = How spread out the moving averages are (trend strength)
ADX = Directional movement indicator (trend conviction)
RSI Mom. = How far RSI is from neutral 50 (momentum extreme)
Status Indicators:
🔥 STRONG = Momentum > 70 (strong move happening)
📈 BUILDING = Momentum 50-70 (gaining strength)
⚠️ WEAK = Momentum 30-50 (losing steam)
💤 STALLING = Momentum < 30 (very weak/choppy)
Background Tint:
Light green background = Strong momentum (>70)
Light red background = Very weak momentum (<30)
The key is: look for STRONG reversal labels when momentum is building/strong for the best trade setups! Also this is mainly for the 4hr time frame.
インジケーターとストラテジー
EMA 8 / 20 / 200Created to easily use the 8/20/200 strategy.
This indicator is designed to give a clear, multi-timeframe view of trend, momentum, and structure using three exponential moving averages.
1. Trend direction (EMA 200 – pink)
The 200 EMA acts as the long-term trend filter.
Price above the 200 EMA suggests a bullish market bias.
Price below the 200 EMA suggests a bearish market bias.
Many traders avoid taking trades against this higher-timeframe direction.
2. Momentum and trade bias (EMA 20 – blue)
The 20 EMA reflects short-term momentum.
When price respects the 20 EMA in an uptrend, pullbacks often provide continuation entries.
In downtrends, the 20 EMA frequently acts as dynamic resistance.
3. Entry timing (EMA 8 – yellow)
The 8 EMA is a fast reaction line used for precise timing.
Crosses of the 8 EMA over the 20 EMA can signal momentum shifts.
Strong trends often show price holding above (or below) the 8 EMA during impulse moves.
4. Confluence and trade filtering
The indicator works best when the EMAs are aligned:
Bullish alignment: EMA 8 > EMA 20 > EMA 200
Bearish alignment: EMA 8 < EMA 20 < EMA 200
Misaligned EMAs usually indicate consolidation or low-probability conditions.
5. Risk management context
EMAs can act as dynamic support and resistance:
Stops are often placed beyond the 20 EMA or 200 EMA depending on trade horizon.
Loss of EMA structure is a warning sign that the trend may be weakening.
In short, the indicator is a trend-first, momentum-second framework that helps you decide when to trade, in which direction, and when to stay out.
Index Construction Tool🙏🏻 The most natural mathematical way to construct an index || portfolio, based on contraharmonic mean || contraharmonic weighting. If you currently traded assets do not satisfy you, why not make your own ones?
Contraharmonic mean is literally a weighted mean where each value is weighted by itself.
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Now let me explain to you why contraharmonic weighting is really so fundamental in two ways: observation how the industry (prolly unknowably) converged to this method, and the real mathematical explanation why things are this way.
How it works in the industry.
In indexes like TVC:SPX or TVC:DJI the individual components (stocks) are weighted by market capitalization. This market cap is made of two components: number of shares outstanding and the actual price of the stock. While the number of shares holds the same over really long periods of time and changes rarely by corporate actions , the prices change all the time, so market cap is in fact almost purely based on prices itself. So when they weight index legs by market cap, it really means they weight it by stock prices. That’s the observation: even tho I never dem saying they do contraharmonic weighting, that’s what happens in reality.
Natural explanation
Now the main part: how the universe works. If you build a logical sequence of how information ‘gradually’ combines, you have this:
Suppose you have the one last datapoint of each of 4 different assets;
The next logical step is to combine these datapoints somehow in pairs. Pairs are created only as ratios , this reveals relationships between components, this is the only step where these fundamental operations are meaningful, they lose meaning with 3+ components. This way we will have 16 pairs: 4 of them would be 1s, 6 real ratios, and 6 more inverted ratios of these;
Then the next logical step is to combine all the pairs (not the initial single assets) all together. Naturally this is done via matrices, by constructing a 4x4 design matrix where each cell will be one of these 16 pairs. That matrix will have ones in the main diagonal (because these would be smth like ES/ES, NQ/NQ etc). Other cells will be actual ratios, like ES/NQ, RTY/YM etc;
Then the native way to compress and summarize all this structure is to do eigendecomposition . The only eigenvector that would be meaningful in this case is the principal eigenvector, and its loadings would be what we were hunting for. We can multiply each asset datapoint by corresponding loading, sum them up and have one single index value, what we were aiming for;
Now the main catch: turns out using these principal eigenvector loadings mathematically is Exactly the same as simply calculating contraharmonic weights of those 4 initial assets. We’re done here.
For the sceptics, no other way of constructing the design matrix other than with ratios would result in another type of a defined mean. Filling that design matrix with ratios Is the only way to obtain a meaningful defined mean, that would also work with negative numbers. I’m skipping a couple of details there tbh, but they don’t really matter (we don’t need log-space, and anyways the idea holds even then). But the core idea is this: only contraharmonic mean emerges there, no other mean ever does.
Finally, how to use the thing:
Good news we don't use contraharmonic mean itself because we need an internals of it: actual weights of components that make this contraharmonic mean, (so we can follow it with our position sizes). This actually allows us to also use these weights but not for addition, but for subtraction. So, the script has 2 modes (examples would follow):
Addition: the main one, allows you to make indexes, portfolios, baskets, groups, whatever you call it. The script will simply sum the weighted legs;
Subtraction: allows you to make spreads, residual spreads etc. Important: the script will subtract all the symbols From the first one. So if the first we have 3 symbols: YM, ES, RTY, the script will do YM - ES - RTY, weights would be applied to each.
At the top tight corner of the script you will see a lil table with symbols and corresponding weights you wanna trade: these are ‘already’ adjusted for point value of each leg, you don’t need to do anything, only scale them all together to meet your risk profile.
Symbols have to be added the way the default ones are added, one line : one symbol.
Pls explore the script’s Style setting:
You can pick a visualization method you like ! including overlays on the main chart pane !
Script also outputs inferred volume delta, inferred volume and inferred tick count calculated with the same method. You can use them in further calculations.
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Examples of how you can use it
^^ Purple dotted line: overlay from ICT script, turned on in Style settings, the contraharmonic mean itself calculated from the same assets that are on the chart: CME_MINI:RTY1! , CME_MINI:ES1! , CME_MINI:NQ1! , CBOT_MINI:YM1!
^^ precious metals residual spread ( COMEX:GC1! COMEX:SI1! NYMEX:PL1! )
^^ CBOT:ZC1! vs CBOT:ZW1! grain spread
^^ BDI (Bid Dope Index), constructed from: NYSE:MO , NYSE:TPB , NYSE:DGX , NASDAQ:JAZZ , NYSE:IIPR , NASDAQ:CRON , OTC:CURLF , OTC:TCNNF
^^ NYMEX:CL1! & ICEEUR:BRN1! basket
^^ resulting index price, inferred volume delta, inferred volume and inferred tick count of CME_MINI:NQ1! vs CME_MINI:ES1! spread
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Synthetic assets is the whole new Universe you can jump into and never look back, if this is your way
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∞
DZDZ – Pivot Demand Zones + Trend Filter + Breadth Override + SL is a structured accumulation indicator built to identify high-probability demand areas after valid pullbacks.
The script creates **Demand Zones (DZ)** by pairing **pivot troughs (local lows)** with later **pivot peaks (local highs)**, requiring a minimum **ATR (Average True Range)** gap to confirm real price displacement. Zones are drawn only when market structure confirms strength through a **trend filter** (a required number of higher highs over a recent window) or a **breadth override**, which activates after unusually large expansion candles measured as a percentage move from the prior close.
In addition to pivots, the script detects **coiling price action**—tight trading ranges contained within an ATR band—and treats these as alternative demand bases.
Entries require price to penetrate a defined depth into the zone, preventing shallow reactions. After the first valid entry, a **DCA (Dollar-Cost Averaging)** system adds buys every 10 bars while trend or breadth conditions persist. A **ratcheting SL (Stop-Loss)** tightens upward only, using demand structure or ATR when zones are unavailable.
The focus is disciplined, volatility-aware accumulation aligned with structure.
Custom ORBIT GSK-VIZAG-AP-INDIA🚀 Custom ORBIT — Opening Range Breakout & Reversal Indicator
This indicator automatically calculates and plots the Opening Range (OR) high and low levels for a user-defined session and duration. It is designed to assist intraday traders by providing immediate visual signals for both price breakouts and subsequent reversals from these key levels.
The indicator is particularly suitable for markets with defined trading hours, such as the Indian indices (Nifty, Bank Nifty), given its default time settings are based on GMT+5:30.
⚙️ How It Works (Indicator Logic)
The indicator operates based on three main logical components: time definition, level calculation, and signal generation.
1. Time Session and Range Definition: All time calculations are based on GMT+5:30 (Indian Standard Time/IST). The script defines a specific trading session from a customizable start time (default 9:15 AM) to a session end time (default 3:30 PM). The Opening Range (OR) is established during the initial duration, which is set by the rangeMinutes input (default 15 minutes, meaning the OR is calculated from 9:15 AM to 9:30 AM).
2. Level Calculation and Plotting: During the initial range duration, the script captures the absolute highest price (OR High) and the absolute lowest price (OR Low). Once this period ends, two horizontal lines—a green line for the OR High and a red line for the OR Low—are drawn and automatically extended across the chart for the remainder of the active trading session. The visual style of these lines can be customized to Dotted, Dashed, or Solid.
3. Breakout and Reversal Logic: The indicator actively tracks the market's state relative to the OR levels to generate four distinct signals:
Break Up: A signal is generated when the closing price crosses over the OR High, indicating potential upward momentum.
Break Down: A signal is generated when the closing price crosses under the OR Low, indicating potential downward momentum.
Reversal Down: This yellow signal occurs only after a price has already broken above the OR High (Break Up state), and then the price moves back into the range (closing below the ORH), suggesting a failed breakout.
Reversal Up: This yellow signal occurs only after a price has already broken below the OR Low (Break Down state), and then the price moves back into the range (closing above the ORL), suggesting a failed breakdown.
💡 Suggested Use Cases
The signals generated by this indicator can be used in two primary ways:
Breakout Trading: A trader may enter a long position on a "Break Up" signal or a short position on a "Break Down" signal. A common risk management practice is to use the opposite OR level (ORL for long trades, ORH for short trades) as a stop-loss reference.
Faded Breakout / Reversal Trading: Look for the yellow "Reversal Up" or "Reversal Down" signals. These signals indicate a rejection of the OR level, and a trader may take a counter-trend position with the expectation that the price will return to the consolidation range or move toward the opposite OR level.
⚠️ Educational Disclaimer
This indicator is for educational and illustrative purposes only. It provides technical signals based on mathematical calculation of price action and should not be construed as financial advice, trading advice, or a solicitation to buy or sell any financial instrument. Trading carries a high level of risk, and you may lose more than your initial deposit. Past performance is not indicative of future results. Always consult with a qualified financial professional before making any investment decisions.
Black-Out PeriodYou'll need to input the black-out logic of the company you are analyzing manually. For example Liveperson, Insider trading and disclosure policy can be found here:
www.sec.gov
Under paragraph nr 12 we find:
"12.Black-Out Period. During the end of each fiscal quarter and until public disclosure of the financial results for that quarter, persons subject to this Policy may possess material nonpublic information about the expected financial results for the quarter. Even if you don’t actually possess any such information, any trades by you during that period may give the appearance that you are trading on inside information. Accordingly, the Company has designated a regularly-scheduled quarterly “black-out period” on trading beginning with the close of business on the 15th day of the last month of each fiscal quarter (or the close of business on the last day on which The Nasdaq Global Select Market is open prior to such 15th day, in the event that the Nasdaq Global Select Market is not open on such 15th day) and ending at the close of the second full trading day (day on which the relevant stock market is open) after public disclosure of the quarter’s financial results."
So we put in the values "15" and "2"
Note that other rules than those specific dates around earnings applies, and not all employees are subject to the same rules.
H1 Bias Rhythmic Lite Public V1.0 by SRTH1 Bias Rhythmic Lite Public V1.0 by SRT
Version: 1.0 (Public Lite)
Author: SRT
Platform: TradingView / Pine Script v6
Overlay: Yes (works directly on price chart)
Purpose: Provide H1 directional bias with D1 alignment and basic rhythm signals. Perfect for traders looking for clean bias visualization without clutter.
💡 Key Features
H1 Bias (Primary Engine)
Uses EMA7, EMA40, SMA150, and SMA200 for H1 directional bias.
Clearly identifies bullish, bearish, and neutral conditions.
Stack-based logic ensures consistency and reliability.
D1 Bias Alignment
Pulls higher timeframe (daily) EMA40, SMA150, SMA200.
Confirms H1 bias alignment with daily trend.
Helps filter trades in the direction of the larger trend.
Flush Detection
H1 flushes: Price fully “flushed” beyond EMA7 for bullish/bearish setups.
D+H1 flush: Aligns H1 flush with D1 bias for stronger context.
Visual dots with configurable sizes and colors indicate flush levels.
Price Action Signals
Engulfing (EB) detection with ATR filtering and body % thresholds.
Long Tail Body (LTB) detection with optional body % filter for precise swing points.
Both EB and LTB signals show clear labels above/below the candle for instant recognition.
ATR-Based Dynamic Offsets
Uses ATR (configurable length) to scale labels and flush dot offsets dynamically.
Ensures signals are proportionate to volatility.
Daily Pivot & Session Lines
Daily pivot plotted automatically.
Option to show daily session high-low lines and day labels.
Easily configurable label sizes and colors.
Bias Summary Table
Top-right table shows:
D1 bias
H1 bias
LTB allowed (Yes/No)
Color-coded for easy reference: green = Bull, red = Bear, gray = Neutral.
Alerts
H1 flush and D+H1 flush alerts.
LTB active alerts when bias is aligned.
Perfect for keeping an eye on actionable swings.
⚙️ User Inputs
Moving Average Lengths: EMA7, EMA40, SMA150, SMA200
Show/Hide MAs: Toggle to declutter the chart
ATR Settings: Length and % threshold for EB/LTB sizing
Signal Toggles: Show/Hide EBull, EBear, LTB Bull, LTB Bear, Flush Dots
Daily Pivot & Label Settings: Toggle visibility, label size, line/text colors
✅ Advantages for Users
Lightweight and fast — minimal lag on H1 charts.
Clear visualization of market bias and swing points.
Free access to core H1 Bias Rhythmic methodology.
Serves as a learning tool for traders who want to upgrade later.
⚠️ Limitations
No automatic entries, stops, or take profits (manual trade execution required).
Lite version only offers simplified signals and bias visualization.
Advanced rhythm and multi-timeframe alerts are reserved for the Premium version.
📢 Short Promo for Premium
For traders who want full power, check out H1 Bias Rhythmic Premium V1.0 by SRT — complete multi-phase alerts, advanced LTB & EB filters, EMA/SMA flip confirmations, and professional-level rhythm signals. Upgrade to premium for the full H1 trading experience.
Delta Grid Delta Grid H/L/C (Approx)
Delta Grid H/L/C (Approx) is an order-flow style table that breaks down intrabar delta behavior per candle and displays it in a clean, easy-to-read grid below your chart.
Instead of guessing what happened inside a candle, this indicator shows you:
Delta High – the maximum aggressive buying reached within the bar
Delta Low – the maximum aggressive selling reached within the bar
Delta Final – where delta closed when the candle finished
All values are displayed in a stand-alone table, making it easy to scan recent bars and quickly spot momentum shifts, absorption, and potential trap behavior.
How It Works
This indicator approximates intrabar delta by:
Aggregating lower-timeframe volume
Classifying volume direction based on price movement
Tracking the running delta inside each candle
Recording the highest, lowest, and final delta values per bar
A heat-mapped background is applied to the Final Delta column:
Green shades = net aggressive buying
Red shades = net aggressive selling
Brighter colors = stronger imbalance relative to recent bars
Key Features
Stand-alone Delta Grid panel below the chart
Per-bar Delta High / Delta Low / Delta Final
Heat-mapped Final Delta for fast visual interpretation
Optional time column for precise bar reference
Adjustable lookback and scaling settings
Clean layout designed for futures, crypto, and index trading
How Traders Use It
This tool is ideal for:
Spotting absorption at highs and lows
Identifying failed breakouts and traps
Confirming trend strength or exhaustion
Reading order-flow shifts without footprint charts
Pairing with VWAP, Initial Balance, Supply & Demand, and Market Structure
Important Notes
This is an approximate delta calculation due to TradingView data limitations.
It does not use true bid/ask volume.
For true order-flow delta, a platform with native tick data (e.g., Tradovate or NinjaTrader) is required.
Recommended Settings
Use a lower timeframe (1s–15s if available) for better intrabar accuracy
Combine with key levels (VWAP, IBH/IBL, prior highs/lows) for best results
HydraBot v1.2 publicenglish description english description english description english description english description english description english description english description english description
Sustained 200 SMA Cross (Locked to Daily)For individuals looking to track trend changes against the 200 day simple moving average. We are measuring 5 consecutive days changing from the above or below the 200 day SMA as a flag for a potential shift in trend.
Volume Orderblock Breakout v3.6this is indicator that shows long short siganl and tp lines can be checked.
you can get profit by this forever.
we can win over whales
keep going don't give up!!!
Confluence Levels + Vol Triangles + No-Trade GrayWhen two levels cross: Premarket High (PMH), Premarket Low (PML), Yesterday High (YH), Yesterday Low (YL), Opening Range High (ORH), Opening Range Low (ORL),VWAP, you get a confluence trigger (line cross) that is green for a bull signal and red for a bear signal. Orange line cross signals confluence, but it is unclear what direction. Additional confluence is signaled by a triangle once volume
MP SESSIONS, DST, OTTMP SESSIONS, DST, OTT – What this indicator does
This script is a multi-session market timing tool that:
Draws full trading sessions on the chart (Asia, Sydney, Tokyo, Shanghai, Europe, London, New York, NYSE)
Automatically adjusts for Daylight Saving Time (DST) for Sydney, London, and New York
Shows a live info table with session times, DST status, and whether each session is currently open or closed
Adds optional custom “OTT” vertical lines at user-defined intraday times (for your own models, killzones, or time blocks)
Main Features (high level)
1. Market mode & time zone handling
Market Mode:
Forex
Stock
User Custom (you type your own session ranges)
TFlab suggestion (predefined “optimized” session times)
Time Zone Mode:
UTC
Session Local Time (local exchange time: Sydney, Tokyo, London, New York etc.)
Your Time Zone (converts to the user-selected TZ, e.g. UTC-4:00)
Handles separate time zones for:
Asia, Sydney, Tokyo, Shanghai, Europe, London, New York, NYSE
Has logic to recalculate session start/end depending on DST and the chosen mode.
2. Daylight Saving Time (DST) engine
The function DST_Detector:
Calculates when DST starts and ends for:
Australia/Sydney
Europe/London
America/New_York
Detects the correct Sunday (2nd, 4th, etc.) for start/end using day-of-week and week counts.
Returns 'Active' or 'Inactive' for each region.
These values are then used to shift the sessions (e.g. New York 13:00–21:00 vs 12:00–20:00 in UTC).
The script can also draw vertical lines on the chart when DST starts/ends and label them:
“Sydney DST Started / Ended”
“London DST Started / Ended”
“New York DST Started / Ended”
3. Session timing & sessions on the chart
The function Market_TimeZone_Calculator:
Based on Market Mode + Time Zone Mode + DST state, it returns:
Time ranges for: Sydney, Tokyo, Shanghai, Asia (combined), Europe, London, New York, NYSE
These ranges are in "HHMM-HHMM" format.
Then the script:
Converts these to time() conditions using the proper time zone
Creates boolean series like On_sesAsia, On_sesEurope, On_sesNewYork, etc., which are 1 when the session is open and 0 when closed.
4. Session high/low boxes & labels
The function LowHighSessionDetector:
Tracks high and low of each session while it’s active.
When a new session starts:
Resets and starts recording the session high/low.
While session is active:
Updates High with the max of current bar high and previous session high.
Updates Low with the min of current bar low and previous session low.
When the session is "on":
Draws a box from session low to high (box.new) and extends it to the right as long as the session continues.
Places a label with session name (Asia, London, New York, etc.) near the high:
Style depends on the session (down/right/left).
You have visibility toggles per session:
Asia Session, Sydney Session, Tokyo Session, Shanghai Session, Europe Session, London Session, New York Session, NYSE (for TFlab mode).
So you visually see:
A shaded box for each session
The full H/L range for that session
A text label with the session name.
5. Info table
The indicator builds a table in a corner of the chart showing:
Header:
“FOREX Session”, “Stock Market Trading Hours”, “User Custom Session”, or “TFlab suggestion” depending on mode.
Columns:
Session name (Asia, Sydney, Tokyo, Shanghai, Europe, London, New York, NYSE)
DST status for that region (“Active 🌞 / Inactive 🍂 / Not Observed”)
Session start time
Session end time
Current status (“Open / Closed”, with green/red background)
The function SplitFunction:
Parses the "HHMM-HHMM" strings for each session.
Converts them into:
Either raw times (if viewing in UTC/session local)
Or converted times in Your Time Zone using timestamp and hour/ minute with YourTZ.
Returns formatted Start and End strings like 9:30, 13:00, etc.
So the table is effectively a live session schedule that:
Auto-adjusts to DST
Can show times in your own time zone
Shows which session is open right now.
6. OTT vertical lines (custom intraday markers)
At the bottom, there is an OTT section which lets you draw up to three sets of vertical lines at specific times:
Each OTT block has:
Enable toggle (Enable OTT 1/2/3)
Start hour & minute
End hour & minute
Color
Global OTT settings:
Line style: Solid / Dashed / Dotted
Line width
Toggle: “Show OTT Labels?”
Logic:
is_ott_time() checks if current bar’s hour and minute match the OTT input time.
draw_ott():
When the bar time matches, draws a vertical line through the candle from low to high (extend.both).
Optionally adds a label above the bar, like "OTT1 Start", "OTT1 End", etc.
Use cases:
Marking open/close of your trading session
Defining killzones, news times, or custom model windows
Visual anchors for your intraday routine (NY open, 10 AM candle, etc.)
BTC - ALSI: Altcoin Season Index (Dynamic Eras)Title: BTC - ALSI: Altcoin Season Index (Dynamic Eras)
Overview & Philosophy
The Altcoin Season Index (ALSI) is a quantitative tool designed to answer the most critical question in crypto capital rotation: "Is it time to hold Bitcoin, or is it time to take risks on Altcoins?"
Most "Altseason" indicators suffer from Survivor Bias or Obsolescence. They either track a static list of coins that includes "dead" assets from previous cycles (ghosts of 2017), or they break completely when major tokens collapse (like LUNA or FTT).
This indicator solves this by using a Time-Varying Basket. The indicator automatically adjusts its reference list of Top 20 coins based on historical eras. This ensures the index tracks the winners of the moment—capturing the DeFi summer of 2020, the NFT craze of 2021, and the AI/Meme narratives of 2024/2025.
Methodology
The indicator calculates the percentage of the Top 20 Altcoins that are outperforming Bitcoin over a rolling window (Default: 90 Days).
The "Win" Count: For every major Altcoin performing better than BTC, the index adds a point.
Dynamic Eras: The basket of coins changes depending on the date:
2020 Era (DeFi Summer): Tracks the "Blue Chips" of the DeFi revolution like UNI, LINK, DOT, and early movers like VET and FIL.
2021 Era (Layer 1 Wars): Tracks the explosion of alternative smart contract platforms, adding winners like SOL, AVAX, MATIC, and ALGO.
2022 Era (The Survivors): Filters for resilience during the Bear Market, solidifying the status of established assets like SHIB and ATOM.
2023 Era (Infrastructure & Scale): Captures the rise of "Next-Gen" tech leading into the pre-halving year, introducing TON, APT (Aptos), and ARB (Arbitrum).
2024/25 Era (AI & Speed): Tracks the current Super-Cycle leaders, focusing on the AI narrative (TAO, RNDR), High-Performance L1s (SUI), and modern Memes (PEPE).
Chart Analysis & Strategy ( The "Alpha" )
As seen in the chart above, there is a strong correlation between ALSI Peaks and local tops in TOTAL3 (The Crypto Market Cap excluding BTC & ETH).
The Entry (Rotation): When the indicator rises above the neutral 50 line, it signals that capital is beginning to rotate out of Bitcoin and into Altcoins. This has historically been a strong confirmation signal to increase exposure to high-beta assets.
The Exit (Saturation): When the indicator hits 100 (or sustains in the Red Zone > 75), it means every single Altcoin is beating Bitcoin. Historically, this extreme exuberance often marks a local top in the TOTAL3 chart. This is the zone where smart money typically sells into strength, rather than opening new positions.
How to Read the Visuals
🚀 Altcoin Season (Red Zone > 75): Strong Altcoin dominance. The market is "Risk On."
🛡️ Bitcoin Season (Blue Zone < 25): Bitcoin dominance. Alts are bleeding against BTC. Historically, this is a defensive zone to hold BTC or Stablecoins.
Data Dashboard: A status table in the bottom-right corner displays the live Index Value, current Regime, and a System Check to ensure all 20 data feeds are active.
Settings
Lookback Period: Default 90 Days. Lowering this (e.g., to 30) makes the index faster but noisier.
Thresholds: Adjustable zones for Altcoin Season (Default: 75) and Bitcoin Season (Default: 25).
Credits & Attribution
This open-source indicator is built on the shoulders of giants. I acknowledge the original creators of the concept and the pioneers of its implementation on TradingView:
Original Concept: BlockchainCenter.net. - They established the industry standard definition: 75% of the Top 50 coins outperforming Bitcoin over 90 days = Altseason..
TradingView Implementation: Adam_Nguyen - He implemented the "Dynamic Era" logic (updating the coin list annually) on TradingView. Our code structure for the time-based switching is inspired by his methodology. See also his implementation in the chart. ( Altcoin Season Index - Adam) .
Comparison: Why use ALSI | RM?
While inspired by the above, ALSI introduces three key improvements:
Open Source: Unlike other popular TradingView versions (which are closed-source), this script is fully transparent. You can see exactly which coins are triggering the signal.
Sanitized History (Anti-Fragile): Historical Top 20 snapshots are not blindly used. "Dead" coins (like LUNA and FTT) from previous eras are manually filtered out. A raw index would crash during the Terra/FTX collapses, giving a false "Bitcoin Season" signal purely due to bad actors. The curated list preserves the integrity of the market structure signal.
Narrative Relevance: The 2024/25 basket was updated to include TAO (Bittensor) and RNDR, ensuring the index captures the dominant AI narrative, rather than tracking fading assets from the previous cycle.
You can compare the ALSI indicator with other available tradingview indicators in the chart: Different indicators for the same idea are shown in the 3 Pane window below the BTC and Total3 chart, whereas ALSI is the top pane indicator.
Important Note on Coin Selection Baskets are highly curated: Dead/irrelevant coins (FTT, LUNA, BSV) are excluded for clean signals. This prevents historical breaks and ensures Era T5 captures current narratives (AI, Memes) via TAO/RNDR. See above. Users are free to adjust the source code to test their own baskets.
Disclaimer
This script is for research and educational purposes only. Past correlations between ALSI and TOTAL3 do not guarantee future results. Market regimes can change, and "Altseasons" can be cut short by macro events.
Tags
bitcoin, btc, altseason, dominance, total3, rotation, cycle, index, alsi, Rob Maths
MA20 ATR Trend Failure FilterA volatility-adaptive filter designed to identify early trend invalidation.
This indicator combines a 20-period Moving Average (MA20) with Average True Range (ATR) to dynamically define a lower volatility boundary.
When price closes below this boundary, it signals that the current trend is no longer valid and risk is increasing.
Core Concept(核心思想)
MA defines the trend baseline
ATR measures current market volatility
MA − k × ATR forms a dynamic risk threshold
A close below this threshold = trend failure
👉 中文补充:
这不是反转指标,而是趋势失效过滤器,用于避免在趋势已经被破坏后继续持仓或加仓。
How It Works
Calculate MA20 as the trend reference
Calculate ATR(14) as volatility proxy
Build adaptive bands:
Upper Band = MA20 + k × ATR
Lower Band = MA20 − k × ATR
If close < Lower Band, trend is considered failed
The ATR multiplier k automatically adjusts the tolerance based on volatility, avoiding rigid fixed-percentage rules.
Visual Elements
Yellow line: MA20
Green band: MA20 + k × ATR
Red band: MA20 − k × ATR (key risk boundary)
Red triangle + “FAIL” label: Trend failure signal
Optional background shading to highlight risk zones
Typical Use Cases
Trend-following strategies (exit / reduce exposure)
Breakout strategies (filter false continuation)
Risk management overlay (non-intrusive, no repaint)
Combine with HMA, SuperTrend, structure-based entries
👉 中文补充:
非常适合作为**“不该再拿”的客观判断条件**,而不是频繁交易信号。
Why This Indicator
Volatility-adaptive (ATR-based)
No future data, no repaint
Simple logic, strong risk control
Works across stocks, crypto, futures, indices
This tool is designed to answer one question only:
Is the current trend still valid?
Parameters
MA Length (default: 20)
ATR Length (default: 14)
ATR Multiplier k (default: 0.8)
Lower k → stricter risk control
Higher k → more tolerance, fewer false signals SSE:600595
Moving Averages 20 & 200Moving Averages 20&200. Help you decide buy signal to find bullish or bearish.
FVG pointsFVGs ( fair value gaps) are imbalances that indicate displacement and are useful for reversal strategies that require displacement after a liquidity sweep
This indicator shows the size of the gap in points/dollars which can help determine momentum and strength in reversals, as does a failure or inversion (iFVG) of these gap if they fail to act as support or resistance to price. As stops are often placed on the other side of a fair value gap from entry, the indicator helps give traders an idea of stop loss size for calculating position size.
Fvg gaps below a certain points size can be considered to be weaker, larger gaps show stronger momentum. The indicator allows a minimum point size to be set so that FVGs below this minimum value will be shown without a points value.
Points value is also shown for inverted FVGs (iFVGs) by a change in colour and length of box.
By default, multiple gaps are combined together and the point value of the gap is shown, this can be toggled off in the settings to show the values of the individual gaps.
Settings:
Lookback - how many candles to look for FVGs and iFVGs
Change length of the FVG box
Change settings to decide the minimum size of gap to label
colours of boxes and labels
Option to show individual gaps or combined gaps
Momentum Burst Pullback System v66 * Detects **momentum “bursts”** using:
* **Keltner breakout** (high above upper band for long, low below lower band for short), and/or
* **MACD histogram extreme** (highest/lowest in a lookback window, with correct sign).
* Optional **burst-zone extension** keeps the burst “active” for N extra bars after the burst.
* Marks bursts with **K** (Keltner) and **M** (MACD) labels:
* Core burst labels use one color, extension labels use a different color.
* Tracks the most recent burst as the **dominant side** (long or short), and stores burst “leg” anchors (high/low context).
* Adds **structure-based invalidation**:
* On a new **core burst**, it locks the most recent **confirmed swing** level (pivot):
* Long: locks the last confirmed **swing low**.
* Short: locks the last confirmed **swing high**.
* After the burst, if price **breaks that locked level**, the burst regime is **cancelled** (and any pending setup on that side is dropped).
* Finds **pullback setups** after a dominant burst (and not inside the active burst zone), within min/max bars:
* Long pullback requires a sequence of **lower highs** and price still below the burst high.
* Short pullback requires **higher lows** and price still above the burst low.
* Optional background shading highlights pullback bars.
* On pullback bars, plots **static TP/SL crosses** using ATR:
* Anchor is the pullback bar’s high (long) or low (short).
* TP/SL are ± ATR * multiple.
* TP plots are visually classified (bright vs faded) based on whether TP would exceed the prior burst extreme.
* Maintains a **state-machine entry + trailing stop**:
* Sets a “waiting” trigger on pullback.
* Enters when price breaks the trigger (high break for long, low break for short).
* Trails a stop using **R-multiples**, with different behavior pre-break-even, post-break-even, and near-TP.
* Optionally draws the trailing stop as horizontal line segments.
* Optionally shows a **last-bar label** with the most recent pullback’s TP and SL values.
Rainbow MA Width█ OVERVIEW
Rainbow MA Width is a companion indicator for Rainbow MA Cloud. It displays ribbon width as a normalized Z-Score, allowing traders to visualize trend momentum expansion and contraction relative to recent history.
█ CONCEPTS
Z-Score Normalization:
Rather than displaying raw width values (which vary by asset and timeframe),
this indicator normalizes the ribbon width using Z-Score calculation:
Z-Score = (Current Width - Average Width) / Standard Deviation
Z-Score Interpretation:
• 0 = Average width (mean)
• +1 to +2 = Expanding (above average, strong trend)
• -1 to -2 = Contracting (below average, weakening trend)
• Beyond ±2 = Extreme (statistical outlier, potential reversal)
Width Calculation Modes:
• Outer — Distance between fastest and slowest MA: |MA1 - MA8|
• Average Gap — Mean of all adjacent MA gaps
• Total Gap — Sum of all adjacent MA gaps
█ FEATURES
1 — Width Mode Selection
Three methods to calculate ribbon width.
"Outer" recommended for aligned trends.
2 — Z-Score Period
Configurable lookback for mean and standard deviation.
Default 20 bars; increase for smoother, less reactive readings.
3 — Zone Fill Coloring
Cyan fill when expanding (Z > 0).
Orange fill when contracting (Z < 0).
Yellow fill for extreme values (|Z| > 2) as warning.
4 — Alignment Background
Green background during bullish alignment.
Red background during bearish alignment.
Synced with Rainbow MA Cloud for consistency.
5 — Reference Lines
Horizontal lines at 0 (mean), ±1σ, and ±2σ levels.
Provides clear visual boundaries for interpretation.
6 — Raw Width Display
Optional secondary line showing original width percentage.
Useful for comparing normalized vs absolute values.
█ HOW TO USE
Trend Confirmation:
• Z-Score rising above 0 confirms trend acceleration
• Z-Score staying above +1 indicates sustained strong momentum
• Use alongside alignment background for confluence
Reversal Warning:
• Z-Score exceeding +2 suggests overextension (yellow warning zone)
• Z-Score dropping below -2 indicates extreme contraction
• Extreme readings often precede trend reversals or consolidation
Entry Timing:
• Enter trends when Z-Score crosses above 0 (expansion beginning)
• Avoid entries when Z-Score is at extreme highs (potential exhaustion)
• Consider exits when Z-Score peaks and begins declining
█ LIMITATIONS
• Z-Score is relative to lookback period; different periods give different readings
• Extreme zones (±2) are statistical guides, not guarantees
• Best used in conjunction with Rainbow MA Cloud for full context
█ ALERTS
Four built-in alert conditions:
• Z-Score crosses above/below zero
• Z-Score enters extreme high/low zones (±2)
ICT Immediate RebalanceThe ICT Concept, whereby as soon as it is created, the price makes a strong movement in its favor, requires two "Wicks" to coincide at the same level or for there to be an overlap of no more than 2 Pips, a function that this Indicator fulfills to detect them.
Large Candle HighlightHighlights candles whose range exceeds a specified threshold by shading the chart background.
This indicator is designed to visually identify unusually large price movements without generating trade signals.
キャンドルの長さを設定し、数値以上なら背景をハイライトするインジケーターです。
Position CalculatorAn on chart indicator that helps you calculate position sizes, risk/reward ratios, and potential profit/loss for your trades.
Colby Cheese VWAP Setup [v2.0]🔧 Core Refactors
• Imbalance function fixed:
• Removed invalid usage.
• Now uses for past bar references.
• Bias checks are handled outside the function with proper series indexing.
• Bias alignment:
• Added and so CHoCH signals only fire when price change agrees with EMA bias.
• Swing reset:
• After a valid CHoCH, and reset to so stale levels don’t keep firing.
• Line/label management:
• CHoCH lines and labels now reuse persistent IDs (, ) instead of spamming new objects every trigger.
✨ New Features
• Anticipation mode:
• Blue “Anticipate” lines/labels drawn when delta + bias align before CHoCH confirmation.
• Helps you see potential setups earlier.
• Entry zone lines:
• Solid green/red lines drawn at entry levels when is enabled.
• Separate from FRVP dashed zones.
• Stop‑loss lines:
• Orange dotted lines drawn opposite the entry zone when is enabled.
• Gives a visual risk marker.
🎨 Visual Consistency
• Candle coloring simplified: white candles only when CHoCH triggers.
• FRVP zones remain dashed lines with “Enter” labels.
• Anticipation zones are blue solid lines.
• Entry zones are solid green/red.
• Stop‑loss lines are orange dotted.






















