GARCH Adaptive Volatility & Momentum Predictor
💡 I. Indicator Concept: GARCH Adaptive Volatility & Momentum Predictor
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The GARCH Adaptive Momentum Speed indicator provides a powerful, forward-looking
view on market risk and momentum. Unlike standard moving averages or static
volatility indicators (like ATR), GARCH forecasts the Conditional Volatility (σ_t)
for the next bar, based on the principle of volatility clustering.
The indicator consists of two essential components:
1. GARCH Volatility (Level): The primary forecast of the expected magnitude of
price movement (risk).
2. Vol. Speed (Momentum): The first derivative of the GARCH forecast, showing
whether market risk is accelerating or decelerating. This component is the
main visual signal, displayed as a dynamic histogram.
⚙️ II. Key Features and Adaptive Logic
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* Dynamic Coefficient Adaptation: The indicator automatically adjusts the GARCH
coefficients (α and β) based on the chart's timeframe (TF):
- Intraday TFs (M1-H4): Uses higher α and lower β for quicker reaction
to recent shocks.
- Daily/Weekly TFs (D, W): Uses lower α and higher β for a smoother,
more persistent long-term forecast.
* Momentum Visualization: The Vol. Speed component is plotted as a dynamic
histogram (fill) that automatically changes color based on the direction of
acceleration (Green for up, Red for down).
📊 III. Interpretation Guide
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- GARCH Volatility (Blue Line): The predicted level of market risk. Use this to
gauge overall position sizing and stop loss width.
- Vol. Speed (Green Histogram): Momentum is ACCELERATING (Risk is increasing rapidly).
A strong signal that momentum is building, often preceding a breakout.
- Vol. Speed (Red Histogram): Momentum is DECELERATING (Risk is contracting).
Indicates momentum is fading, often associated with market consolidation.
🎯 IV. Trading Application
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- Breakout Timing: Look for a strong, high GREEN histogram bar. This suggests
the volatility pressure is increasing rapidly, and a breakout may be imminent.
- Consolidation: Small, shrinking RED histogram bars signal that market energy
is draining, ideal for tight consolidation patterns.
Zyklen
Ingenuity Crazy Strategy Advance IntraThis indicator works — IF you use it correctly.
Wrong settings = bad results.
That’s why we keep:
🔥 The exact settings
🔥 Market-specific presets
🔥 Live trade examples
INSIDE OUR DISCORD ONLY.
🚫 Do not guess
🚫 Do not freestyle settings
👉 Join the Discord and trade it the way it’s meant to be traded.
discord.gg
Day of WeekDay of Week is an indicator that runs in a separate panel and colors the panel background according to the day of the week.
Main Features
Colors the background of the lower panel based on the day of the week
Includes all days, from Monday to Sunday
Customizable colors
Time Offset Correction
TradingView calculates the day of the week using the exchange’s timezone, which can cause visual inconsistencies on certain symbols.
To address this, the indicator includes a configurable time offset that allows the user to synchronize the calculated day with the day displayed on the chart.
By simply adjusting the Time Offset (hours) parameter, the background will align correctly with the visible chart calendar.
Multi-Trend + Credit Risk DashboardHello This is showing 20,50,200 as well as some other useful indicators. hope you like it, its my first! D and P is discount or premium to nav
TDZZ ETH 15min Vault: No-Loss Martin Gale StrategyStrategy Overview
The ETH 15min Vault is an enhanced, high-frequency Martin Gale strategy designed specifically for Ethereum on the 15-minute chart. Its core innovation lies in integrating pre-calculated margin management with a multi-layer exit system, transforming the traditional high-risk Martingale approach into a controlled, calculated growth engine. The strategy aims for sustainable compound growth of small capitals (e.g., 1000U) in ranging markets while systematically eliminating the risk of account blow-up.
Core Concept: The "No-Loss" Guarantee
Unlike conventional Martingale systems that risk infinite losses, this strategy pre-calculates and logically reserves the total margin required for all potential layers (configurable, e.g., up to 30) at the initial entry. This ensures sufficient capital is always available for the next averaging order, preventing liquidation due to margin shortage. Combined with intelligent, proactive take-profit and safety-net closures, it creates a theoretically "No-Loss" framework for the Martin Gale method.
Key Mechanisms
1、Smart Position Averaging:
Averaging distances expand geometrically (configurable multiplier), preventing rapid layer depletion during sharp drops.
Averaging order size increases progressively (configurable multiplier) to effectively lower the break-even point.
2、Dynamic Multi-Stage Exit Logic:
Rebound TP: Partially closes a position when price rebounds a certain percentage from its entry, locking in profits early during oscillations.
Cycle TP: Closes the remaining position upon reaching the primary profit target, which is dynamically recalculated after each average to reflect the new aggregate cost.
Safety-Net Close (Defense Mode): Activates after a defined number of averages. Triggers a full exit if price: a) rallies significantly from the lowest point, b) retraces from a recent high, or c) fails to make a new low within a set time. This forms the final protective layer for capital preservation.
Main Advantages
✅ True Risk Isolation: Transforms Martingale's "unlimited risk" into a "defined and manageable drawdown" via pre-calculated margins and safety-net exits.
✅ Active Profit Capture: The "Rebound TP" mechanism increases win rate and capital efficiency in ranging markets.
✅ Adaptive to Volatility: Adjustable parameters for averaging distance and size allow tuning for different market conditions.
✅ High-Frequency Compounding Potential: Operates on the 15-min timeframe, offering numerous opportunities to complete profit cycles in consolidating phases.
Configuration & Parameters
Key adjustable inputs include: Initial Capital %, Averaging Distance % and Multiplier, Order Size Multiplier, Max Layers, Take-Profit %, Rebound Close %, and all Defense Mode thresholds.
This strategy significantly reduces liquidation risk through its design but does not eliminate trading risk. Substantial drawdowns can occur during strong, sustained trends. "No-Loss" refers to prevention of margin-call liquidation, not guaranteed profitability. Always conduct thorough backtesting and forward testing in a simulated environment before committing real capital. Past performance is not indicative of future results. Trade responsibly.
GLOBAL TRADERS SYSTEMO indicador mede o apetite a risco do mercado ou proteção. Deve ser usado em índices americanos.
RISK ON RISK OFF GTSO indicador mede o apetite a risco do mercado ou proteção. Deve ser usado em índices americanos.
Momentum Table View (Bar-Based)// NOTE:
// This script uses bar-based lookbacks instead of calendar months.
// Approximate conversions for daily charts:
// - 21 bars ≈ 1 month
// - 63 bars ≈ 3 months
// - 252 bars ≈ 1 year
// For other timeframes, adjust accordingly for different time periods and needs.
// For hourly I have it set at 24*5, 24*5*4 and then finally 24*5*4 to give the same,
// daily, weekly and monthly aggregate returns but on the hourly scale.
// Of course you can split it anyway you like as well depends on the expected needs you have.
Running idea so there will likely be revisions to the z scoring to possibly a different method and the atan angle represented in the code will also likely be changed at some point as to maybe a regression method. These changes will take time as this is only a secondary platform for me not the main source of data. In saying that the table has the data representing the log returns of an asset of n bars which I decided on over the original more accurate daily, weekly and monthly close points which the user can always specify using this method if wanting to be more accurate with the standard method of momentum returns factor.
Renko with Multi-Timeframe RSI (Non-Repaint)This is a Renko-based Multi-Timeframe RSI indicator with Inverted Volatility Oscillator that combines three technical analysis concepts to provide trading signals without repainting issues.
Core Components
1. Renko Chart Foundation
Instead of using time-based candles, this indicator creates Renko bricks based on price movement:
Green brick = Price moved up by one brick size
Red brick = Price moved down by one brick size
Brick size = Either ATR-based (dynamic) or fixed value
Key advantage: Filters out market noise by ignoring time and small price fluctuations
Non-Repaint Feature: Only processes confirmed bars (barstate.isconfirmed), ensuring signals don't disappear or change after they appear.
2. Volume-Weighted RSI (Multiple Timeframes)
Three RSI calculations:
a) Renko RSI (Purple line)
Calculated directly from Renko brick close prices
Shows momentum based on actual brick formations
More stable than traditional RSI since it's based on significant price moves
b) 1-Hour RSI (Blue line)
Standard RSI from 1-hour timeframe
Provides medium-term momentum context
c) 4-Hour RSI (Orange line)
Standard RSI from 4-hour timeframe
Shows longer-term momentum trends
RSI Interpretation:
Above 70: Overbought (potential sell signal)
Below 30: Oversold (potential buy signal)
Above 50: Bullish momentum
Below 50: Bearish momentum
3. Inverted Volatility Oscillator (Yellow line)
Measures the opposite of price volatility in Renko brick closes:
What It Actually Is:
Simply calculates volatility (standard deviation of rate of change)
Normalizes it to 0-100 scale
Inverts it (100 minus volatility)
Result: When prices are volatile, the number is LOW. When prices are calm, the number is HIGH.
This is just repackaged volatility:
Above 80: Low volatility period (calm, stable prices)
50-80: Below-average volatility
20-50: Above-average volatility
Below 20: High volatility period (choppy, erratic prices)
The "Fear/Greed" Marketing: The assumption is that high volatility = panic/fear, and low volatility = complacency/greed. But this is just a narrative wrapper around basic volatility measurement. Markets can be:
Highly volatile during euphoric rallies (not fear)
Very calm during sustained downtrends (not greed)
The relationship between volatility and sentiment is assumed, not measured.
How It Works
Signal Generation
Buy Signals occur when:
Renko RSI < 30 (oversold) OR
1H RSI < 30 OR
4H RSI < 30 OR
Inverted Volatility < 20 (high volatility = "extreme fear")
Sell Signals occur when:
Renko RSI > 70 (overbought) OR
1H RSI > 70 OR
4H RSI > 70 OR
Inverted Volatility > 80 (low volatility = "extreme greed")
Exit Conditions:
Brick color changes (green→red or red→green)
Any RSI enters opposite extreme zone
Multiple confirmations increase signal reliability
What You're Actually Getting
Legitimately Useful:
Renko filtering: Real noise reduction
Multi-timeframe RSI: Valid momentum confirmation across timeframes
Non-repainting: Reliable signal timing
Marketing Fluff: The "Fear/Greed Index" is:
Just normalized, inverted volatility
Given emotional labels to sound sophisticated
Based on an assumption (volatility = fear) that's often wrong
No actual measurement of fear, greed, sentiment, or psychology
Adds no information you couldn't get from a standard volatility indicator
Reality Check
What the indicator claims: "Fear/Greed Index measures market psychology"
What it actually does: Calculates volatility of Renko closes, flips the scale, and slaps emotional labels on different levels
Better description: "Low Volatility Warning" (>80) and "High Volatility Warning" (<20)
The indicator works fine as a multi-timeframe RSI system with Renko smoothing. The volatility component can be useful for identifying regime changes. But calling it "Fear/Greed" is pure marketing - it's just repackaged volatility with psychology buzzwords.
Bottom Line
Use this for:
Renko trend following (genuinely useful)
Multi-timeframe momentum confirmation (valid approach)
Volatility regime detection (what the yellow line actually measures)
Don't use this thinking:
It reads market psychology (it doesn't)
It's measuring actual fear or greed (it isn't)
It's anything more than inverted volatility (it's not)
// ============ DISCLAIMER ============
// EDUCATIONAL PURPOSE ONLY - NOT FINANCIAL ADVICE
// This indicator is provided for educational and informational purposes only.
// It does NOT constitute financial, investment, trading, or any other type of advice.
//
// PAST PERFORMANCE IS NOT INDICATIVE OF FUTURE RESULTS
// No trading system or indicator can guarantee profits or prevent losses.
//
// RISKS:
// - Trading and investing involve substantial risk of loss
// - You can lose some or all of your invested capital
// - Only trade with money you can afford to lose
// - Indicators can produce false signals and lag price action
//
// "FEAR/GREED INDEX" DISCLAIMER:
// The so-called "Fear/Greed Index" is simply inverted normalized volatility.
// It does NOT actually measure fear, greed, sentiment, or market psychology.
// It is a mathematical calculation based on price volatility with emotional
// labels applied for marketing purposes. The relationship between volatility
// and sentiment is ASSUMED, not measured or proven.
//
// NO REPAINTING GUARANTEE:
// While designed to avoid repainting, no indicator is perfect. Always verify
// signals on confirmed bars and test thoroughly before live trading.
//
//(RESPONSIBILITY):
// By using this indicator, you acknowledge that:
// - All trading decisions are your own responsibility
// - You have tested this indicator on historical data
// - You understand the risks involved in trading
// - The creator(s) of this indicator are not liable for any losses
//
// ALWAYS:
// - Do your own research and due diligence
// - Consult with qualified financial professionals
// - Use proper risk management and position sizing
// - Never risk more than you can afford to lose
// - Practice on paper/demo accounts before live trading
// =======================================
Danny Gee EMA Trend RibbonDanny Gee EMA Trend Ribbon - Multi-Timeframe Trend Analysis
A sophisticated 9-EMA ribbon system designed to visualize trend strength and direction with precision. This indicator creates a dynamic color-coded ribbon that adapts to market conditions, making trend identification effortless.
Key Features:
9 Customizable EMAs - Default periods: 8, 14, 20, 26, 32, 38, 44, 50, and 60
Intelligent Ribbon Coloring - Automatically displays bullish (green), bearish (red), or neutral (gray) based on EMA consensus
Smoothing Control - Adjustable smoothing period (default 2) reduces noise and false signals
Real-Time Trend Status - Live dashboard showing current trend state and EMA agreement count (e.g., "Bullish 8/9")
Visual Clarity - Color-coded EMA lines with the 60 EMA highlighted for key support/resistance
How It Works:
The indicator analyzes the slope direction of all 9 EMAs. When 7 or more EMAs agree on direction, the ribbon displays a clear bullish or bearish color. This consensus-based approach helps filter out weak or conflicting trends, keeping you focused on high-probability setups.
Best Used For:
✓ Identifying strong trending conditions
✓ Avoiding choppy, sideways markets
✓ Confirming trade direction with other indicators
✓ Multi-timeframe analysis (works on any chart timeframe)
Customization Options:
Adjust all EMA periods to match your trading style
Customize ribbon colors for personal preference
Toggle ribbon visibility on/off
Modify smoothing sensitivity
Perfect for swing traders, scalpers, and day traders looking for a clean, reliable trend filter that works across all markets - forex, crypto, stocks, and indices.
Liquidity Pools Smart Entry + Multi-TF Targets + VWAPOverview
This indicator is designed to help traders identify high-probability institutional-style entries using concepts from ICT (Inner Circle Trader) methodology. It combines liquidity pool detection, fair value gaps (FVG), swing levels, killzones, ATR-based targets, VWAP bias, and optional multi-timeframe analysis.
The script provides visual trade signals and a green-light confirmation system to streamline decision-making and reduce overtrading.
Key Features
Market Structure
Detects CHoCH (Change of Character) and BOS (Break of Structure).
Marks bullish and bearish breaks with labels on the chart.
Liquidity & Swings
Highlights Swing High/Low liquidity zones (SSL/BSL).
Shows horizontal swing lines for reference.
Fair Value Gap (FVG) Detection
Bullish and bearish gaps are plotted as shaded boxes.
Identifies potential institutional entry zones.
Killzones
Highlights London and New York sessions.
Helps align trades with high liquidity periods.
VWAP Filter
Plots the intraday VWAP.
Optional VWAP bias filter ensures trades follow intraday institutional flow.
Multi-Timeframe Confirmation
Supports 5-minute entry confirmation.
Shows SL/TP for both current TF and 5-min TF signals.
ATR-Based Stops & Targets
Entry signals automatically calculate SL (1.5 ATR) and TP (ATR x multiplier).
Customizable ATR multiplier.
Trade Light System
Visual green/red/gray indicators:
🟢 Green: All bullish conditions aligned → LONG allowed.
🔴 Red: All bearish conditions aligned → SHORT allowed.
⚪ Gray: Wait → conditions not aligned.
Inputs
Input Description
Show CHoCH/BOS Toggle structure labels on/off
Show Killzones Toggle session backgrounds on/off
Show Swing Liquidity Show SSL/BSL swing points
Show Horizontal Lines Extend swing lines horizontally
Show FVG Zones Show Fair Value Gaps
Show VWAP Display intraday VWAP
Swing Length Number of bars to calculate swing pivots
ATR Target Multiplier Multiplies ATR for TP calculation
Use HTF 200 EMA Filter Filter entries with higher timeframe trend
Use RSI Filter Filter entries using RSI 14
Use Volume Filter Filter entries with high volume confirmation
Use ATR Filter Filter entries based on ATR expansion
Use VWAP Filter Only allow trades in VWAP direction
How to Read the Chart
Structure Labels
BOS ↑ / BOS ↓: Breaks of structure showing trend direction.
Swing Liquidity
SSL (blue): Bullish swing low liquidity.
BSL (red): Bearish swing high liquidity.
FVG Zones
Green boxes: Potential bullish liquidity gaps.
Red boxes: Potential bearish liquidity gaps.
Killzones
Green background: London session.
Blue background: New York session.
VWAP
Purple line: Intraday volume-weighted average price.
Trade Lights
🟢 Green: All bullish conditions met — LONG ready.
🔴 Red: All bearish conditions met — SHORT ready.
⚪ Gray: Wait — conditions not aligned.
Entry Labels
Shows Entry price, SL, TP.
Separate labels for current TF and 5-min confirmation.
How to Use
Step 1: Identify Market Bias
Check HTF EMA: price above → bullish trend, below → bearish trend.
Check VWAP (if enabled): trade in direction of VWAP for institutional alignment.
Check Killzones: prefer entries during London or New York sessions.
Step 2: Confirm Entry Conditions
Wait for BOS / CHoCH to align with your trend.
Look for FVG zone and SSL/BSL liquidity.
Ensure RSI, ATR, Volume, VWAP filters (if enabled) all confirm.
Green/red Trade Light should be active.
Step 3: Place Trade
Use Entry Label price as reference.
SL: 1.5 ATR away.
TP: ATR x multiplier away.
Optional: check 5-min multi-TF confirmation label for additional confidence.
Step 4: Manage Trade
Follow ATR-based SL/TP.
Move stop to break-even after partial target if desired.
Only take trades when Trade Light is GREEN (LONG) or RED (SHORT).
Best Practices
Combine with volume profile or order block analysis for higher precision.
Avoid trading outside killzones.
Use multi-TF confirmation for safer entries.
Adjust ATR multiplier according to market volatility.
SmartMoney BOS Pro [Stansbooth]
## ✨ BOS + ICT RSI Indicator — Trade Like Smart Money ✨
The market doesn’t move randomly — it moves with **structure**, **liquidity**, and **institutional intent**.
This indicator is built to help you see exactly that.
Powered by **Break of Structure (BOS)** and advanced **ICT concepts**, this tool highlights when the market is truly shifting direction or continuing with strength — the same way **smart money** trades.
To make every setup even stronger, a **smart RSI confirmation** is seamlessly integrated, helping you stay out of weak trades and focus only on **high-quality, high-probability opportunities**.
### 🔥
What Makes It Special?
• Clear and accurate BOS signals
• ICT-based market structure & liquidity insight
• RSI confirmation to reduce false entries
• Clean visuals — no clutter, no confusion
• Designed for scalpers, intraday & swing traders
🎯
Who Is This For?
If you’re tired of lagging indicators…
If you want to understand **why** price moves…
If you want to trade with confidence instead of guessing…
This indicator is for you.
📊
Markets Supported:
Forex • Crypto • Stocks • Indices
Stop chasing price.
Start trading ** structure, liquidity, and smart money**.
🚀 **See the market differently. Trade better.**
CRYPTO HELPERThis works on most large crypto currencies and beats a buy a hold strategy for the most part
it can work for some volatile stocks as well.
Try it out and adjust but 1 day seems to work best for time frames
S&P 500: 300-Day Trend FollowerSIMPLE STRAT FOR MACRO ETFs
The 300-day Moving Average is a very slow, long-term filter.
Pros: It keeps you in the market during massive bull runs (like 2013-2019) without shaking you out on minor dips.
Cons: It is slow to react. If the market crashes fast (like COVID in 2020), price might drop 15-20% before it crosses the line and tells you to sell.
Selected Days Indicator V3-TrDoes the stock drop every Wednesday? Do March months always move similarly? Does the 1st week of the month behave differently?
Do you ever say "it always makes this move in these months"? Don't you want to see more clearly whether it actually makes this move or not? Don't you want to see and test periodically repeating price patterns?
Hisse her Çarşamba düşüyor mu? Mart ayları hep benzer mi hareket ediyor? Ayın 1. haftası farklı mı davranıyor?
Bazen "bu aylarda hep bu hareketi yapıyor" dediğiniz oluyor mu? Gerçekten de bu hareketi yapıp yapmadığını daha net görmek istemez misiniz? Periyodik tekrarlayan fiyat kalıplarını görmek ve test etmek istemiyor musunuz?
1. Problem
Some stocks or crypto assets exhibit systematic behaviors on certain days, weeks, or months. But it's hard to see - everything is mixed together on the chart. This indicator isolates the days/weeks/months you want and shows only them. Hides everything else.
2. How It Works
Three-layer filter: Day (Monday, Tuesday...), Week (1st, 2nd, 3rd week of the month), Month (January, February...). Select what you want, let the rest disappear. Example: Show only Thursdays of March-June-September. Or compare every 1st week of the month. View as candlestick, line, or column chart.
3. What's It Good For?
Test "end-of-month effect". Find "day-of-the-week anomaly". Analyze crypto volatility by days. See seasonality in commodities. Discover patterns specific to your own strategy. Past data doesn't guarantee the future but provides statistical advantage.
Box Theory StrategyHere is an explanation of the Box Theory trading strategy.
The Core Philosophy
This strategy is based on the idea that the market is a battle between buyers and sellers, and that these groups often defend the same price levels they used previously. Instead of trying to predict every move, this method focuses on trading only at the "extremes" where the probabilities are highest, while avoiding the middle of the chart where price action is random.
1. The Setup: Drawing the Box
To use this strategy, you must define the "playing field" for the day before you take any trades.
Top of the Box: Draw a line at the Previous Day’s High.
Bottom of the Box: Draw a line at the Previous Day’s Low.
Center Line: Draw a line roughly in the middle of these two points.
This box represents the established range where the market recently found value.
2. The Three Zones & Rules
Once the box is drawn, the chart is divided into three zones. Each zone dictates a specific action.
Zone 1: The Top (Resistance / Sell Zone)
What it represents: This is where sellers previously stepped in and pushed the price down. It is a known area of supply.
The Rule: NO BUYING.
If the price rallies to this level, you should look for Short/Sell opportunities.
Why? Buying here means purchasing at a price that was previously rejected. The probability of a reversal (price going down) is high.
Zone 2: The Bottom (Support / Buy Zone)
What it represents: This is where buyers previously stepped in and pushed the price up. It is a known area of demand.
The Rule: NO SELLING.
If the price drops to this level, you should look for Long/Buy opportunities.
Why? Selling here means shorting into support. The probability of a bounce (price going up) is high.
Zone 3: The Middle (Indecision Zone)
What it represents: This is the area of noise and confusion. Neither buyers nor sellers have clear control here.
The Rule: DO NOT TRADE.
Why? In the middle of the range, the odds of the price going up or down are roughly 50/50. Trading here is considered gambling because you do not have a statistical edge.
3. Execution: How to Trade
The Entry
Short Setup: Wait for the price to touch or slightly pierce the Top of the Box. Enter a short position when you see the price failing to break out (e.g., leaving a wick and closing back inside the box).
Long Setup: Wait for the price to touch or slightly pierce the Bottom of the Box. Enter a long position when you see the price failing to break down (e.g., bouncing off the level).
Stop Loss (Risk Management)
This strategy offers a very clear invalidation point.
For Shorts: Place your Stop Loss just above the box.
For Longs: Place your Stop Loss just below the box.
Logic: If the price clearly breaks out of the box, the range is broken, and you want to exit the trade immediately with a small loss.
Take Profit (Targets)
First Target: The Center Line. This is a safe place to take some profit or move your stop loss to breakeven.
Main Target: The opposite side of the box (e.g., if you sold at the top, target the bottom).
4. Handling Gaps (The "Cheater Box")
If the market opens significantly higher or lower than the previous day's range (a large gap), the original box may be too far away to be useful.
Adjustment: In this scenario, you can draw a new box using the highest and lowest price points of the current trading session so far.
Once this new range is established, apply the same rules: Sell the high, Buy the low, and avoid the middle.
Seasonal Trend by LogReturn ProSeasonal Trend by LogReturn Pro
Seasonal Trend by LogReturn Pro is a seasonality indicator that analyzes historical average logarithmic returns to visualize recurring price behavior throughout the trading year.
Instead of using simple price averages, this indicator is based on log returns, making it scale-independent and mathematically consistent across different price levels and assets.
🔍 How It Works
The indicator calculates daily logarithmic returns for each trading day of the year.
These returns are aggregated and averaged over a user-defined number of past years.
Based on this historical data, a seasonal trend profile is constructed that represents the statistically expected market behavior over the year.
All calculations are aligned by trading day index, not calendar days, ensuring accurate seasonality even across different years and holidays.
📈 Display Modes
The indicator offers two complementary visualizations:
1. Absolute Seasonal Projection (Main Chart)
- Projects a price path based on historical average log returns.
- Can be displayd:
- Only for the remaining part of the current year, or
- For the entire year, starting from the beginning.
- Useful for visualizing potential seasonal price tendencies relative to the current price.
2. Relative Seasonal Performance (Indicator Pane)
Shows the cumulative seasonal return in percentage terms.
Centered around a zero line for easy interpretation.
Ideal for identifying periods with historically positive or negative seasonal bias.
💡 Use Cases
Identifying seasonal bullish or bearish phases
Timing entries and exits based on historical tendencies
Combining seasonality with technical or fundamental analysis
Gaining a long-term probabilistic market perspective
⚠️ Disclaimer
This indicator is based on historical data and does not predict future price movements.
It should be used as a statistical reference tool, not as a standalone trading signal.
SectorRotationRadar ProThe Sector Rotation Radar is a powerful visual analysis tool designed to track the relative strength and momentum of a stock compared to a benchmark index and its associated sector ETF. It helps traders and investors identify where an asset stands within the broader market cycle and spot rotation patterns across sectors and timeframes.
🔧 Key Features:
Benchmark Comparison: Measures the relative performance (strength and momentum) of the current symbol against a chosen benchmark (default: SPX), highlighting over- or underperformance.
Automatic Sector Detection: Automatically links stocks to their relevant sector ETFs (e.g., XLK, XLF, XLU), based on an extensive internal symbol map.
Multi-Timeframe Analysis: Supports simultaneous comparison across the current, next, and even third-higher timeframes (e.g., Daily → Weekly → Monthly), providing a bigger-picture perspective of trend shifts.
Tail Visualization: Displays a "trail" of price behavior over time, visualizing how the asset has moved in terms of relative strength and momentum across a user-defined period.
Quadrant-Based Layout: The chart is divided into four dynamic main zones, each representing a phase in the strength/momentum cycle:
🔄 Improving: Gaining strength and momentum
🚀 Leading: High strength and high momentum — top performers
💤 Weakening: Losing momentum while still strong
🐢 Lagging: Low strength and low momentum — underperformers
Clean Chart Visualization:
Background grid with axis labels
Dynamic tails and data points for each symbol
Option to include the associated sector ETF for context
Descriptive labels showing exact strength/momentum values per point
⚙️ Customization Options:
Benchmark Selector: Choose any symbol to compare against (e.g., SPX, Nasdaq, custom index)
Start Date Control: Option to fix a historical start point or use the current data range
Trail Length: Set the number of previous data points to display
Additional Timeframes: Enable analysis of one or two higher timeframes beyond the current
Sector ETF Display: Toggle to show or hide the related sector ETF alongside the asset
📚 Technical Architecture:
The indicator relies on external modules for:
Statistical modeling
Relative strength and momentum calculations
Chart rendering and label drawing
These components work together to compute and display a dynamic, real-time map of asset performance over time.
🧠 Use Case:
Sector Rotation Radar is ideal for traders looking to:
Spot stocks or sectors rotating into strength or weakness
Confirm alignment across multiple timeframes
Identify sector leaders and laggards
Understand how a symbol is positioned relative to the broader market and its peers
This tool is especially valuable for swing traders, sector rotation strategies, and macro-aware investors who want a visual edge in decision-making.
Monthly Hotness RSI (Auto-Calibrated)Indicator of the previous months volatility/vol compared to averages over the last 3-5 years. helps show trend and if the market is 'hot'. indicator is good for showing favourable market conditions.
Bullish Structure (PAID) by @Crypto_alphabitTVC:GOLD
This script is for bullish structure........
___________________________________
to confirm the bullish structure , the price has to confirm the second higher low to confirm the uptrend ( ⬜️ The key level ) then the other levels will be automatic calculated with mathematic formula .
This indicator contains some important levels as below ....
__________________________________________________
🟥Stop Loss / lowest point
This level is the lowest point or 0 level & you can consider it as Stop Loss
🟫Strong support(0)
This level is very strong support and the price may not come back to that price after making the key level
⬜️The key Level
This level is the second higher low so the bullish structure confirmed for uptrend
🟪accumulation level(1) , 🟪accumulation level(2) , 🟪accumulation level(3)
The price is slowly moving between the 3 accumulation levels but if the price crossed the 3 levels with momentum , means we are in a very strong uptrend
🟫Strong Support(1) , 🟫Strong Support(2)
Those 2 levels are very strong support and strong resistance in the same time
⬜️Resistance
This level is very important as if the price closed above it so it is high probability that the price will go to the safe Exit
🟩Safe Exit
This is safest exit
🟨Golden Exit
This level is the golden exit if the price reached
🟦Extra Exit(1) , 🟦Extra Exit(2) , 🟦Extra Exit(3)
The price may or may not reach the 3 extra exit levels , it depends on the chart analysis, Gaps and momentum .
🟦Final Exit
This is the final target for that wave
In this indicator you can change some inputs to make it perfect as below ....
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* Lookback Period for High/Low
* Line Width
* Show/ Hide Price Labels
* Label Size
* Extend Drawing for X Bars
* Swing Sensitivity ( Very important)
*** To confirm the bullish momentum you can add MACD indicator as a helper ***
*** To confirm the targets you can match the targets with Gaps ***
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This script is by @Crypto_alphabit
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






















