TASC 2022.11 Phasor Analysis█ OVERVIEW
TASC's November 2022 edition Traders' Tips includes an article by John Ehlers titled "Recurring Phase Of Cycle Analysis". This is the code that implements the phasor analysis indicator presented in this publication.
█ CONCEPTS
The article explores the use of phasor analysis to identify market trends.
An ordinary rotating phasor diagram is a two-dimensional vector, anchored to the origin, whose rotation rate corresponds to the cycle period in the price data stream. Similarly, Ehlers' phasor is a representation of angular phase rotation along the course of time. Its angle reflects the current phase of the cycle. Angles -180, -90, +90 and +180 degrees correspond to the beginning, valley, peak and end of the cycle, respectively.
If the observed cycle is very long, the market can be considered trending . In his article, John Ehlers defined trending behavior to occur when the derived instantaneous cycle period value is greater that 60 bars. The author also introduced guidelines for long and short entries in a trending state. Depending on the tuning of the indicator period input, a long entry position may occur when the phasor angle is around the approximate vicinity of −90 degrees, while a short entry position may occur when the phasor angle will be around the approximate vicinity of +90 degrees. Applying these definitive guidelines, the author proposed a state variable that is indicated by +1 for a trending long position, 0 for cycling, and −1 for a trending short position (or out).
The phasor angle, the cycle period, and the state variable are made available with three selectable display modes provided for this TradingView indicator.
█ CALCULATIONS
The calculations are carried out as follows.
First, the price data stream is correlated with cosine and sine of a fixed cycle period. This produces two new data streams that correspond to the projections of the frequency domain phasor diagram to the horizontal (so-called real ) and vertical (so-called imaginary ) axis respectively. The wavelength of the cycle period input should be set for the midrange vicinities of the phasor to coincide with the peaks and valleys of the charted price data.
Secondly, the phase angle of the phasor is easily computed as the arctangent of the ratio of the imaginary component to the real component. The difference between the current phasor values and its last is then employed to calculate a derived instantaneous period and market state. This computation is then repeated successively for each individual bar over the entire duration of the data set.
Search in scripts for "Cycle"
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.
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
BTC Regime Phase [HY|YC|GLI]The correlation between global liquidity and INDEX:BTCUSD has attracted a lot of attention. Building on this insight, I developed an indicator that not only tracks global liquidity but also integrates the high‑yield spread and yield‑curve slope to capture credit risk and growth expectations.
Essence and Logic
At its core, the Risk‑On Composite Z‑Score converts three macro factors global liquidity momentum, the US high‑yield spread and the slope of the US yield curve into standardized Z‑scores, weights them, and tracks moving‑average crossovers. Each factor has a rationale: high‑yield spreads are powerful business‑cycle indicators and often outperform other financial variables (Gertler & Lown, 2000). Yield‑curve steepness reflects investor optimism and prompts shifts toward riskier assets global liquidity drives cross‑border flows and risk sentiment (Goldberg, 2023; Lee, 2024). Combining these measures gives a composite signal that has historically aligned well with Bitcoin’s tops and bottoms. Usable also for other crypto coins: INDEX:ETHUSD CRYPTO:SOLUSD CRYPTO:LINKUSD
Limitations and My Current Model Outlook
I want to be transparent: the three model sections are highly correlated. Currently, the high‑yield spread and yield curve data come only from the US; I may add Euro or Japanese spreads later. I’m also aware that macro dynamics are evolving. Fiscal policy and political choices could shorten bear markets and make the current sell signals less relevant. In a stagflationary world, inflation‑adjusted liquidity may swing more violently and require an asset‑inflation adjustment. Yet, the model has captured Bitcoin’s tops and bottoms almost to the week—future patterns may rhyme, not repeat.
Questions and Ideas:
Do you think this model will still be useful as fiscal and monetary regimes shift?
Should I add a stagnation modulation perhaps real yields or inflation‑adjusted liquidity—to better capture a stagflation scenario?
Are there high‑yield spreads on TV beyond the US that I should include? (Euro and Japan indices do exist.)
Would it make sense to incorporate Bitcoin halving events or a stock‑to‑flow module?
The indicator is free to use. If it brings you value, you’re welcome to follow for updates. I appreciate your support and feedback. When you are interested in the source code, feel free to contact me for more details. When you feel like supporting me with some sats, contact me and I will give you a Lightning address. I am a student and that would help a lot – but please only if you can afford it!
♡ Thanks to everyone who contributes insight on TradingView ♡
© Robinhodl21
Features: Users can enable or disable each component, adjust weights and choose a short‑tenor (1‑year or 2‑year) for the yield curve. The script automatically scales lookback windows based on the chart timeframe (daily, weekly or monthly). It offers visual plots of each Z‑score, the composite score, and smoothed moving averages, with background colours highlighting regimes and markers for entries and exits. Trade logic includes optional dip‑buy triggers when the composite falls below a threshold, Friday‑only execution on daily charts to reduce whipsaws. A trend table summarises current Z‑scores and their trends. Settings are tuned for BTC weekly data but should be adjusted for other assets or timeframes. Because some inputs (e.g., GLI weights) have limited historical data, long backtests may be less reliable when using on other Risk On Assets like NASDAQ:NDX NCDEX:COPPER
‼ Disclaimer: This indicator is for educational purposes and does not constitute investment advice. Markets involve risk; past performance is not indicative of future results. Users should not rely solely on this script for trading decisions. Always test and adapt settings to your asset, timeframe and risk tolerance. The author assumes no liability for any trading losses.
Literature:
Gertler, M., & Lown, C. S. (2000). The information in the high yield bond spread for the business cycle: Evidence and some implications. NBER Working Paper 7549.
Lee, B. (2024). Staying ahead of the yield curve. CME Group.
McCauley, R. N. (2012). Risk‑on/risk‑off, capital flows, leverage and safe assets. BIS Working Paper 382.
Goldberg, L. (2023). Global liquidity: Drivers, volatility and toolkits. Federal Reserve Bank of New York Staff Report 1064.
FRED (2025). ICE BofA Euro High Yield Index Option‑Adjusted Spread (BAMLHE00EHYIOAS). St. Louis Fed Data.
Office of Financial Research (2025). Financial Stress Index sources: High yield indices..
Tashev, T. (2025). The Bitcoin Stock‑to‑Flow Model: A comprehensive guide. Webopedia.
Clock&Flow MM+InfoThis script is an indicator that helps you visualize various moving averages directly on the price chart and gain some additional insights.
Here's what it essentially does:
Displays Different Moving Averages: You can choose to see groups of moving averages with different periods, set to nominal cyclical durations. You can also opt to configure them for instruments traded with classic or extended trading hours (great for Futures), and they'll adapt to your chosen timeframe.
Colored Bands: It allows you to add colored bands to the background of the chart that change weekly or daily, helping you visualize time cycles. You can customize the band colors.
Information Table: A small table appears in a corner of the chart, indicating which cycle the moving averages belong to (daily, weekly, monthly, etc.), corresponding to the timeframe you are using on the chart.
Customization: You can easily enable or disable the various groups of moving averages or the colored bands through the indicator's settings.
It's a useful tool for traders who use moving averages to identify trends and support/resistance levels, and who want a quick overview of market cycles.
Questo script è un indicatore che aiuta a visualizzare diverse medie mobili direttamente sul grafico dei prezzi e a ottenere alcune informazioni aggiuntive.
In pratica, fa queste cose:
Mostra diverse medie mobili: Puoi scegliere di vedere gruppi di medie mobili con periodi diversi impostati sulle durate cicliche nominali. Puoi scegliere se impostarle per uno strumento quotato con orario di negoziazione classico o esteso (ottimo per i Futures) e si adattano al tuo timeframe).
Bande colorate: Ti permette di aggiungere delle bande colorate sullo sfondo del grafico che cambiano ogni settimana o ogni giorno, per aiutarti a visualizzare i cicli temporali. Puoi scegliere il colore delle bande.
Tabella informativa: In un angolo del grafico, compare una piccola tabella che indica a quale ciclo appartengono le medie mobili (giornaliero, settimanale, mensile, ecc.) e corrispondono in base al timeframe che stai usando sul grafico.
Personalizzazione: Puoi facilmente attivare o disattivare i vari gruppi di medie mobili o le bande colorate tramite le impostazioni dell'indicatore.
È uno strumento utile per i trader che usano le medie mobili per identificare trend e supporti/resistenze, e che vogliono avere un colpo d'occhio sui cicli di mercato.
ICTProTools | ICT Insight - Momentum Structures🚀 INTRODUCTION
The Momentum Structures Indicator builds upon the principles of ICT (Inner Circle Trader) and Smart Money Concepts (SMC) to give traders a clearer view of market dynamics. These methods reveal how institutional trading activity shapes price movements, particularly through different types of market liquidity.
The indicator is designed to provide traders with advanced insights into market dynamics by focusing on key price imbalances and higher-timeframe structures . By combining these elements, the indicator allows users to analyze price behavior across multiple timeframes, helping them anticipate potential liquidity pools and price reversals. The emphasis on price imbalances and liquidity zones makes it a versatile tool for both intraday and longer-term strategies, providing critical insights for understanding market cycles and potential turning points.
💎 FEATURES
Imbalance Bar Colors / Zones
Imbalances are fundamental components of the ICT methodology, highlighting areas where price accelerates, creating gaps that may indicate a lack of liquidity . These voids often point to potential reversal or continuation zones in the price action.
An imbalance typically arises when supply and demand are out of balance, resulting in a gap between price levels. Traders keep a close eye on these gaps, as they could present opportunities to enter trades when the price revisits them , as they suggest a strong institutional interest.
We can notice two types of imbalances… A Fair Value Gap (FVG) usually forms from three consecutive candles, defining the space between the wicks of the first and last candle. Conversely, a Volume Imbalance (VI) occurs when a gap appears between the opening and closing prices of two consecutive candles. When these imbalances align with FVGs, they offer a well-rounded framework for assessing market strength.
By analyzing both FVGs and VIs together, traders can gain valuable insight into potential price movements and better evaluate the likelihood of continuation or reversal.
This chart illustrates the Fair Value Gaps (FVG) and Volume Imbalances (VI) within the GBPUSD price action. The FVG Bar Color and FVG Zone represent the same Fair Value Gaps, and similarly, the VI Bar Color and VI Zone display the same Volume Imbalances. They highlight areas where rapid price movements have created gaps in the market. These gaps indicate potential zones for trade entries or exits as the price may return to fill them. As we can see on the chart, the major part of imbalances created has already been filled. They constitute really interesting Point of Interest (POI).
The 50% FVG line marks the midpoint of the gap, which is often considered an important level for price action. A clear example appears in the Bearish FVG on the top left, where price first filled it below the midline, creating a small reaction. The price then liquidated this "fake mitigation" by moving just above the midline before beginning its significant downward movement. This demonstrates the crucial role of imbalances and how precisely price interacts with them.
Traders can use this information to identify potential buying or selling opportunities based on the interaction of price with these gaps and volume imbalances, aiding in the development of their trading strategies.
PO3 Candles (Power of Three)
The Power of Three is a critical concept in the ICT methodology that analyzes Higher Timeframe (HTF) candles focusing on the opening price, high wick, low wick, and closing price. This framework helps traders understand the current market cycle, in three phases , and its trading implications.
Accumulation Phase: In this initial phase, the price consolidates around the opening price as the market gathers liquidity. This often signals that larger players are positioning for the next move.
Manipulation Phase: Represented by the candle wicks, this phase indicates the extreme points where liquidity grabs often occur. Observing these wicks helps traders identify the end of the accumulation phase and potential turning points.
Distribution Phase: The candle body reflects a decisive price movement in one direction , following accumulation and manipulation. Traders align with the direction of this phase to capture the “real candle move”.
Our indicator provides you with the valuable capability to integrate the True Day Range, as defined by ICT. This concept, rooted in institutional logic, defines a trading day as starting at 00:00 New York time. You can customize it to match your trading style and analysis needs.
You can also overlay imbalances (FVG and VI) directly onto PO3 Candles, seamlessly combining imbalance detection with high-timeframe price action. This approach gives you a sharper market perspective, uncovering potential turning points with greater clarity.
In summary, PO3 Candles help traders assess the market structure and identify cycle positions on HTF candles, enabling them to make more strategic trading decisions, which allows for better entry and exit timing, avoiding traps, and seizing the best opportunities to capture significant market moves.
This chart illustrates the application of the Power of Three concept to EURUSD price action, highlighting key phases of market behavior.
In this example, we observe the Daily candles, where a significant Bullish imbalance appears from previous days, forming a Fair Value Gap (FVG). Additionally, there’s a small Volume Imbalance (VI) at the candle's opening, signaling liquidity that the price needs to fill.
Now, focusing on the Weekly candle, we can clearly identify its phases. First, there's an accumulation phase around the opening price, which, as shown by the Daily candles, took some time to develop. Then, the manipulation phase occurs, signaled by the upper wick of the Weekly candle, which liquidates the previously created accumulation. It’s time to look for a potential selling position... Finally, the price falls, beginning to form its bearish body and completing the real move of the week.
This framework allows traders to better understand the market structure and make informed decisions based on the current cycle.
Standard Deviation (STD)
The Standard Deviation (STD) is a concept within the ICT methodology that focuses on identifying periods of consolidation within the market. Specifically, it examines the Central Bank Dealers Range (CBDR) , which occurs between 13:00 and 23:00 New York time. During this period, the market often exhibits consolidation , creating an environment where price action stabilizes before making significant moves.
This consolidation forms the basis of the Standard Deviation (STD) concept. This is based on the idea that the volatility observed during this consolidation phase can be used to anticipate future market volatility. Once this consolidation is identified, the STD framework duplicates the established range both above and below the consolidation area.
As price approaches these duplicated levels, it offers traders critical information on where to anticipate potential reactions. If the price nears the upper boundary of the consolidation, it suggests a potential reversal point, indicating an opportunity to consider selling. Conversely, if the price approaches the lower boundary, it may signal an opportunity to look for buying positions . This duplication could enable traders to determine potential high and low points for the trading day or week for example.
Finally, the Standard Deviation (STD) concept provides a valuable framework for identifying potential key reaction points in the market by leveraging consolidation within the CBDR. By duplicating these ranges, traders can anticipate significant price movements and refine their strategies.
This chart illustrates the Standard Deviation (STD) concept applied to EURUSD price action. The highlighted areas in blue indicate high duplications and low duplications derived from the consolidation identified during the Central Bank Dealing Range (CBDR), marked by the dark gray rectangle.
The high duplications represent potential resistance levels, suggesting areas where the price may encounter selling pressure, while the low duplications signify potential support levels, indicating where buying interest could emerge.
The annotations emphasize how price reacts at these duplicated levels, showing the critical role of the STD in determining where price movements may stall or reverse. In this example, the price responded perfectly to both an upward and a downward duplication, confirming that these levels could represent the day's high and low, an observation validated here. This highlights the precision of price movements, with the price stopping exactly at the full duplication levels (but we can not that the price could also have paused at the midline levels, indicated by the dashed gray lines).
This visualization helps traders anticipate potential reactions and align their strategies with market dynamics, ensuring informed decision-making based on established price behavior.
✨ SETTINGS
Imbalance Bar Colors / Zones: Choose to display FVGs, VIs, or both, with customizable color settings. Choose to extend zones or set them to be removed when mitigated.
PO3 Candles: Customize the PO3 Candles for different timeframes (Daily, Weekly, Monthly), including the calculation Mode (Classic or True Day Range) and timezone associated, and set your body, border, and wick preferred colors. The Imbalance Bar Color and FVG Zones can also be displayed on these HTF candles, as they are configured in their settings.
STD: Select the timeframe on which to base it and configure the number of duplications and midline settings. You can also define the time range and timezone related to consolidation detection, giving you control over when and where the STD should apply.
🎯 CONCLUSION
The Momentum Structures Indicator combines the core principles of ICT and Smart Money Concepts to provide traders with advanced tools for understanding market dynamics. By focusing on key elements like imbalances and liquidity zones, it offers a comprehensive framework for analyzing price behavior. This indicator empowers traders to identify key market phases, anticipate potential reversals, and refine their entry and exit points with precision. While its features provide a valuable edge, it’s essential to remember that none should be used on its own and many more factors go into being a profitable trader.
Economic Seasons [Daveatt]Ever wondered what season your economy is in?
Just like Mother Nature has her four seasons, the economy cycles through its own seasons! This indicator helps you visualize where we are in the economic cycle by tracking two key metrics:
📊 What We're Tracking:
1. Interest Rates (USIRYY) - The yearly change in interest rates
2. Inflation Rate (USINTR) - The rate at which prices are rising
The magic happens when we normalize these values (fancy math that makes the numbers play nice together) and compare them to their recent averages. We use a lookback period to calculate the standard deviation and determine if we're seeing higher or lower than normal readings.
🔄 The Four Economic Seasons & Investment Strategy:
1. 🌸 Goldilocks (↑Growth, ↓Inflation)
"Not too hot, not too cold" - The economy is growing steadily without overheating.
BEST TIME TO: Buy growth stocks, technology, consumer discretionary
WHY: Companies can grow earnings in this ideal environment of low rates and stable prices
2. 🌞 Reflation (↑Growth, ↑Inflation)
"Party time... but watch your wallet!" - The economy is heating up.
BEST TIME TO: Buy commodities, banking stocks, real estate
WHY: These sectors thrive when inflation rises alongside growth
3. 🌡️ Inflation (↓Growth, ↑Inflation)
"Ouch, my purchasing power!" - Growth slows while prices keep rising.
BEST TIME TO: Rotate into value stocks, consumer staples, healthcare
WHY: These defensive sectors maintain pricing power during inflationary periods
4. ❄️ Deflation (↓Growth, ↓Inflation)
"Winter is here" - Both growth and inflation are falling.
BEST TIME TO: Focus on quality bonds, cash positions, and dividend aristocrats
WHY: Capital preservation becomes key; high-quality fixed income provides safety
🎯 Strategic Trading Points:
- BUY AGGRESSIVELY: During late Deflation/early Goldilocks (the spring thaw)
- HOLD & ACCUMULATE: Throughout Goldilocks and early Reflation
- START TAKING PROFITS: During late Reflation/early Inflation
- DEFENSIVE POSITIONING: Throughout Inflation and Deflation
⚠️ Warning Signs to Watch:
- Goldilocks → Reflation: Time to reduce growth stock exposure
- Reflation → Inflation: Begin rotating into defensive sectors
- Inflation → Deflation: Quality becomes crucial
- Deflation → Goldilocks: Start building new positions
The blue dot shows you where we are right now in this cycle.
The red arrows in the middle remind us that this is a continuous cycle - one season flows into the next, just like in nature!
💡 Pro Tip: The transitions between seasons often provide the best opportunities - but also the highest risks. Use additional indicators and fundamental analysis to confirm these shifts.
Remember: Just like you wouldn't wear a winter coat in summer, you shouldn't use a Goldilocks strategy during Inflation! Time your trades with the seasons. 🎯
Happy Trading! 📈
Cyclic RegressionCyclic Regression is a new concept that uses Digital Signal Processing (DSP) to determine the regression of past and future cycles. This is a unique method of regression which has the ability to forecast into the future.
There are several ways to use this tool.
Firstly, it follows similar rules to moving averages and can be used to filter entries. Long entries should be considered when price action is above the line or the line direction is upwards. The opposite is applied for shorts, a downward direction or price action is below.
The regression line is also a strong SR (Support and Resistance) or trend line so traders can expect big moves when this line is broken or a pullback is made after the break.
Each new direction of regression signifies a new cycle so traders can plan for a possible big move when reaching the end of the line.
The Settings are not your typical length or lookback options:
The main modifier is the "Response" input, with this the frequency response for the signal processing can be adjusted. By default it is set at 5000 but this can be boosted to something like 10000 to tune it to bigger cycles.
The other modifiers include sensitivity which will fine tune the response, this can be use with in conjunction with threshold option which adjusts the threshold of the useable response.
There is also the ability to add an external sources to the signal using the source input box. This allows traders to include other sources of data such as volume or RSI.
Daily Sessions (AMDX) AMDX Cycle for Forex Pairs.
Focusing on the London & New York Session Cycles.
- Accumulation (90 minutes)
- Manipulation (90 minutes)
- Distribution (90 minutes)
- Exit/Execution (90 minutes)
This indicator gives you a visual indicator of how the AMDX cycle works and how timing in the market is everything.
Crypto Flows [ETF|On-chain]The surge in Bitcoin and Ethereum spot ETFs has transformed how crypto is held and traded. By mid‑2025, U.S. spot Bitcoin ETFs already controlled roughly 1.28 million BTC, or about 6.5 percent of the circulating supply (Fosque, 2025). This accumulation has coincided with sharp price rallies and signals that regulated vehicles are absorbing a meaningful share of supply (Fosque, 2025; Wright, 2025). At the same time, on‑chain analytics show that exchange flows still influence markets: large inflows to exchanges often precede sell‑offs, whereas withdrawals to private wallets signal accumulation and reduced sell pressure (Singh, 2024; CryptoQuant, 2024). IntoTheBlock’s large‑holder inflow indicator even notes that spikes in whale buying frequently mark major bottoms (IntoTheBlock, 2022). I wanted to weave these pieces together, so I created this indicator.
Essence and logic
The script draws from two data streams: net flows into ETFs and net on‑chain flows from large holders, both scaled by the asset’s circulating market cap. ETF flows are aggregated across the ten largest INDEX:BTCUSD Bitcoin ETFs, the ten largest Ethereum INDEX:ETHUSD ETFs and the first CRYPTOCAP:SOL Solana ETF; each fund has its own checkbox and colour selection. On‑chain data uses IntoTheBlock’s large‑holder inflows and outflows, with dozens of coins available( CRYPTO:XRPUSD CRYPTOCAP:AVAX CRYPTOCAP:ADA CRYPTOCAP:LINK CRYPTO:DOGEUSD CRYPTOCAP:OTHERS ; if your coin isn’t shown in the dropdown you can manually enter its symbol. For each component, daily flows are converted into either a Z‑score or, by default, a percent‑of‑market‑cap series; users choose the weighting between ETF and on‑chain signals. These weighted series are summed into a composite, smoothed, and then two moving averages (a fast and a slow one) are applied to define bullish or bearish regimes. Because ETFs are a recent phenomenon, the early part of the composite is dominated by on‑chain flows; as ETF history lengthens, the fund‑flow component will become more influential. Trade signals are generated via moving‑average crossovers and optional dip triggers, and a trend table summarises current values and directions.
Why these components?
ETF flows reflect institutional adoption and supply absorption. Funds such as IBIT already hold about 744 000 BTC (roughly 3.3 percent of total supply), and cumulative ETF holdings have been growing faster than new coins are mined (Wright, 2025). Net inflows into these vehicles have tended to accompany rising prices and signal long‑horizon capital (Fosque, 2025). On‑chain flows, meanwhile, capture exchange liquidity dynamics. High inflows to exchanges often indicate that investors are preparing to sell, increasing tradable supply (Singh, 2024; CryptoQuant, 2024). Outflows into self‑custody suggest accumulation and reduced sell pressure, providing a bullish signal (Singh, 2024; CryptoQuant, 2024). IntoTheBlock points out that spikes in large‑holder inflows—whales moving coins into cold storage—have historically preceded price bottoms (IntoTheBlock, 2022). By weighting and standardising these flows relative to market cap, the composite aims to offer a more objective lens on risk‑on versus risk‑off regimes than price alone.
Limitations and outlook
ETFs a pretty new, so the data history is short. The list of tracked funds is currently limited to U.S. and European products; adding Asian or Canadian vehicles could provide a fuller picture. On‑chain flows can be noisy and occasionally give conflicting signals, and large‑holder data is not available for every crypto asset. The ETF and on‑chain components are also correlated through market cap, so equal weighting may amplify common trends. As macro conditions evolve and ETF redemption mechanisms change, the usefulness of fund flows could vary. I see this indicator as one tool among many, and I’m considering adding stablecoin flows, derivatives funding rates, or halving‑cycle adjustments. Suggestions are welcome.
Personal note
I’m a student who enjoys exploring the intersection of macro flows, on‑chain analytics and market psychology. This script is free to use. You can enable or disable each component, adjust weights, change the display mode and lookback, and select individual ETF tickers. If it brings you value, feel free to follow my work or reach out with feedback. I appreciate your support. Please remember that this indicator is for educational purposes and not investment advice. I built this indicator in addition to my Liquidity indicator, where I use Global M2, the yield curve, and the high-yield spread to define risk-on/risk-off regimes. If you are interested, you can find it here:
References
CryptoQuant Team. (2024). Exchange in/outflow and netflow user guide.
Fosque, J. (2025). Bitcoin ETFs pull $17.8 billion in 90 days as price surges past $118 K. The Digital Chamber.
IntoTheBlock. (2022). Large holders inflow indicator description.
Singh, O. (2024). Crypto exchange inflows and outflows explained: What they reveal about market trends. CCN.
Wright, L. (2025). Bitcoin ETFs to lock up 1.5 million BTC by New Year as supply squeeze tightens grip. CryptoSlate.
Retracement Painpoints - Robinhodl21Description:
Retracement Painpoints is crafted to delve into the psychology of markets, particularly assets that are heavily driven by profit expectations and hype cycles. This tool excels when applied to assets experiencing strong hype phases. By visualizing downturns, you can assess which pullbacks are mere pauses in the hype cycle and which ones might signal the end of a trend or precede more significant declines. This insight allows you to identify critical points where market sentiment shifts, helping you make more informed trading decisions.
Main Features:
Focuses on assets influenced by hype and strong profit expectations. Helps distinguish between normal retracements and potential trend reversals.
Trend Detection Methods: Moving Average (MA): Utilizes a customizable MA period to determine market trends. Delta to All-Time High (ATH): Analyzes the percentage distance from the ATH to define trend direction. No Trend Detection: Allows for neutral analysis without trend bias.
Statistical Drawdown Analysis: Identifies local minima in drawdowns to calculate statistically significant levels. Option to calculate statistics based on trend direction (bullish/bearish). Adjustable variables for fine-tuning statistical levels.
Visualization: Plots drawdown curves with color-coding based on trend direction. Displays calculated statistical levels on the chart to highlight potential pain points.
Usage:
Set Parameters: Trend Detection Method: Choose your preferred method (MA, Delta to ATH, or None). MA Period: Define the period for the moving average (default: 420). Delta to ATH (%): Set the threshold for distance to ATH (default: 30%). Neutral Zone Delta to ATH (%): Define the neutral market zone (default: 60%). Stat Variables 1 & 2: Adjust these to select the desired statistical drawdown levels. Minimum Drawdown Threshold (%): Set the minimum drawdown to consider in analysis (default: 10%).
Interpretation: Drawdown Curve: Monitor percentage declines from local maxima. The color indicates the current trend direction: Green: Uptrend. Red: Downtrend. Gray: Neutral or no trend detection. Statistical Levels: Use the displayed levels as potential support or resistance zones, reflecting key psychological levels in the market.
Strategic Application: Identify crucial areas where the price has historically reversed. Assess whether a downturn is a typical retracement within a hype cycle or a sign of a more significant decline. Combine this tool with other technical analysis methods to enhance your trading strategy. Adjust settings based on market conditions and personal trading preferences.
Notes: The indicator is based on historical data and should not be used as the sole basis for trading decisions. It's recommended to test the indicator across various markets and timeframes. Past performance is not indicative of future results.
Created by Robinhodl
3Commas dollar cost averaging (DCA) QFL IndicatorAs investors, we often face the dilemma of willing high stock prices when we sell, but not when we buy. There are times when this dilemma causes investors to wait for a dip in prices, thereby potentially missing out on a continual rise. This is how investors get lured away from the markets and become tangled in the slippery slope of market timing, which is not advisable to a long-term investment strategy.
Skyrex developed a complex indicator based on dollar-cost averaging in Quick Fingers Luc's interpretation. It is a combinations of strategies which allows to systematically accumulate assets by investing scaled amounts of money at defined market cycle global support levels. Dollar-cost averaging can reduce the overall impact of price volatility and lower the average cost per asset thus even during market slumps only a small bounce is required to reach take profit.
The indicator script monitors a chart price action and identifies bases as they form. When bases are reached the script provides entry alerts. During price action development an asset value can go lower and in this way the script will perform safety entries alerts at each subsequent accumulation levels. When weighted average entry price reaches target profit the script will perform a take profit action alert.
Bases are identified as pivot lows in a fractal pattern and validated by an adjustable decrease/rise percentage to ensure significancy of identified bases. To qualify a pivot low, the indicator will perform the following validation:
Validate the price rate of change on drops and bounces is above a given threshold amount.
Validate the volume at the low pivot point is above the volume moving average (using a given length).
Validate the volume amount is a given factor of magnitude above is above the volume moving average.
Validate the potential new base is not too close to the previous range by using a given price percent difference threshold amount.
A fractal pattern is a recurring pattern on a price chart that can predict reversals among larger, more chaotic price movements. These basic fractals are composed of five or more bars. The rules for identifying fractals are as follows:
A bearish turning point occurs when there is a pattern with the highest high in the middle and two lower highs on each side.
A bullish turning point occurs when there is a pattern with the lowest low in the middle and two higher lows on each side.
Basic dollar-cost averaging approach is enhances by implementation of adjustable accumulation levels in order to provide opportunity of setting them at defined global support levels and Martingale volume coefficient to increase averaging effect. According to Quick Fingers Luc's principles trading principles we added volume validation of a base because it allows to confirm that the market is resistant to further price decrease.
The indicator supports traditional and cryptocurrency spot, futures , options and marginal trading exchanges. It works accurately with BTC , USD, USDT, ETH and BNB quote currencies. Best to use with 1H timeframe charts and limit orders. The indicator can be and should be configured for each particular asset according to its global support and resistance levels and price action cycles. You can modify levels and risk management settings to receive better performance
The difference between core script and this interpretation is that this strategy is specially designed for 3Commas bots
How to use?
1. Apply indicator to a trading pair your are interested in using 1H timeframe chart
2. Configure the indicator: change layer values, order size multiple and take profit/stop loss values according to current market cycle stage
3. Set up a TradingView custom alert using the indicator settings to trigger on a condition you are interested in
4. The indicator will send alerts when to enter and when to exit positions which can be applied to your portfolio using external trading platforms
5. Update settings once market conditions are changed using backtests on a monthly period
Dollar cost averaging (DCA) QFL IndicatorAs investors, we often face the dilemma of willing high stock prices when we sell, but not when we buy. There are times when this dilemma causes investors to wait for a dip in prices, thereby potentially missing out on a continual rise. This is how investors get lured away from the markets and become tangled in the slippery slope of market timing, which is not advisable to a long-term investment strategy.
Skyrex developed a complex indicator based on dollar-cost averaging in Quick Fingers Luc's interpretation. It is a combinations of strategies which allows to systematically accumulate assets by investing scaled amounts of money at defined market cycle global support levels. Dollar-cost averaging can reduce the overall impact of price volatility and lower the average cost per asset thus even during market slumps only a small bounce is required to reach take profit.
The indicator script monitors a chart price action and identifies bases as they form. When bases are reached the script provides entry alerts. During price action development an asset value can go lower and in this way the script will perform safety entries alerts at each subsequent accumulation levels. When weighted average entry price reaches target profit the script will perform a take profit action alert.
Bases are identified as pivot lows in a fractal pattern and validated by an adjustable decrease/rise percentage to ensure significancy of identified bases. To qualify a pivot low, the indicator will perform the following validation:
Validate the price rate of change on drops and bounces is above a given threshold amount.
Validate the volume at the low pivot point is above the volume moving average (using a given length).
Validate the volume amount is a given factor of magnitude above is above the volume moving average.
Validate the potential new base is not too close to the previous range by using a given price percent difference threshold amount.
A fractal pattern is a recurring pattern on a price chart that can predict reversals among larger, more chaotic price movements. These basic fractals are composed of five or more bars. The rules for identifying fractals are as follows:
A bearish turning point occurs when there is a pattern with the highest high in the middle and two lower highs on each side.
A bullish turning point occurs when there is a pattern with the lowest low in the middle and two higher lows on each side.
Basic dollar-cost averaging approach is enhances by implementation of adjustable accumulation levels in order to provide opportunity of setting them at defined global support levels and Martingale volume coefficient to increase averaging effect. According to Quick Fingers Luc's principles trading principles we added volume validation of a base because it allows to confirm that the market is resistant to further price decrease.
The indicator supports traditional and cryptocurrency spot, futures, options and marginal trading exchanges. It works accurately with BTC, USD, USDT, ETH and BNB quote currencies. Best to use with 1H timeframe charts and limit orders. The indicator can be and should be configured for each particular asset according to its global support and resistance levels and price action cycles. You can modify levels and risk management settings to receive better performance
Advantages of this indicator:
The indicator has custom alert settings for each strategy action
The indicator can be used with 3Commas, Cryptohopper, Alertatron or Zignaly bots
The indicator is sustainable to market slumps and can be used for long-term trading
The indicator provides a large number of entries which is good for diversification
Can be applied to any market and quote currency
Easy to configure user interface settings
How to use?
1. Apply indicator to a trading pair your are interested in using 1H timeframe chart
2. Configure the indicator: change layer values, order size multiple and take profit/stop loss values according to current market cycle stage
3. Set up a TradingView custom alert using the indicator settings to trigger on a condition you are interested in
4. The indicator will send alerts when to enter and when to exit positions which can be applied to your portfolio using external trading platforms
5. Update settings once market conditions are changed using backtests on a monthly period
BTC -50% Crash to Recovery ZoneGeneral Overview This is a macro-analysis tool designed to visualize the true duration of Bitcoin’s "Suffering & Recovery Cycles." Unlike standard oscillators that only signal oversold conditions, this script highlights the entire timeline required for the market to flush out leverage and return to All-Time Highs (ATH).
Operational Logic The algorithm tracks Bitcoin’s historical All-Time High (ATH).
The Trigger: It activates automatically when the price drops 50% below the last recorded ATH.
The "Recovery Zone": Once triggered, the chart background turns red (indicating a "Drawdown" state). This zone remains active persistently, even during intermediate relief rallies.
The Reset: The zone deactivates only when the price breaks above the previous ATH, marking the official start of a new Price Discovery phase.
How to Read It
Red Background: We are officially in a Bear Market or Recovery Phase. The asset is technically "underwater." For the long-term investor with a low time preference, this visually defines the accumulation window.
Red Horizontal Line: Indicates the "Target." This is the exact price level of the old ATH that Bitcoin must reclaim to close the bearish cycle.
No Background Color: We are in Price Discovery. The market is healthy and pushing for new highs.
The Financial Lesson This indicator visually demonstrates a fundamental market truth: "Price takes the elevator down, but takes the stairs up." It shows that after a halving of value (-50%), Bitcoin may take months or years to recover previous levels, helping investors filter out the noise of short-term pumps that fail to break the macro-bearish structure.
True Seasonal Pattern [tradeviZion]True Seasonal Pattern: Uncover Hidden Market Cycles
Markets have rhythms and patterns that repeat with surprising regularity. The True Seasonal Pattern indicator reveals these hidden cycles across different timeframes, helping you anticipate potential market movements based on historical seasonal tendencies.
What This Indicator Does
The True Seasonal Pattern analyzes years of historical price data to identify recurring seasonal trends. It then plots these patterns on your chart, showing you both the historical pattern and future projection based on past seasonal behavior.
Automatic Timeframe Detection: Works with Monthly, Weekly, and Daily charts
Historical Pattern Analysis: Analyzes up to 100 years of data (customizable)
Future Projection: Projects the seasonal pattern ahead on your chart
Smart Smoothing: Applies appropriate smoothing based on your timeframe
How to Use This Indicator
Add the indicator to a Daily, Weekly, or Monthly chart (not designed for intraday timeframes)
The indicator automatically detects your chart's timeframe
The blue line shows the historical seasonal pattern
Watch for potential turning points in the pattern that align with other technical signals
Seasonal patterns work best as a supporting factor in your analysis, not as standalone trading signals. They are particularly effective in markets with well-established seasonal influences.
Best Applications
Futures Markets: Commodities and futures often show strong seasonal tendencies due to production cycles, weather patterns, and economic factors
Stock Indices: Many stock markets demonstrate regular seasonal patterns (like the "Sell in May" phenomenon)
Individual Stocks: Companies with seasonal business cycles often show predictable price patterns
Practical Applications
Identify potential turning points based on historical seasonal patterns
Plan entries and exits around seasonal tendencies
Add seasonal context to your existing technical analysis
Understand why certain months or periods might show consistent behavior
Pro Tip: For best results, use this tool on instruments with at least 5+ years of historical data. Longer timeframes often reveal more reliable seasonal patterns.
Important Notes
This indicator works best on Daily, Weekly, and Monthly timeframes - not intraday charts
Seasonal patterns are tendencies, not guarantees
Always combine seasonal analysis with other technical tools
Past patterns may not repeat exactly in the future
// Sample of the seasonal calculation approach
float yearHigh = array.max(currentYearHighs)
float yearLow = array.min(currentYearLows)
// Calculate seasonality for each period
for i = 0 to array.size(currentYearCloses) - 1
float periodClose = array.get(currentYearCloses, i)
if not na(periodClose) and yearHigh != yearLow
float seasonality = (periodClose - yearLow) / (yearHigh - yearLow) * 100
I developed this indicator to help traders incorporate seasonal analysis into their trading approach without the complexity of traditional seasonal tools. Whether you're analyzing agricultural commodities, energy futures, or stock indices, understanding the seasonal context can provide valuable insights for your trading decisions.
Remember: Markets don't always follow seasonal patterns, but when they do, being aware of these tendencies can give you a meaningful edge in your analysis.
[GYTS] Filters ToolkitFilters Toolkit indicator
🌸 Part of GoemonYae Trading System (GYTS) 🌸
🌸 --------- 1. INTRODUCTION --------- 🌸
💮 Overview
The GYTS Filters Toolkit indicator is an advanced, interactive interface built atop the high‐performance, curated functions provided by the FiltersToolkit library . It allows traders to experiment with different combinations of filtering methods -— from smoothing low-pass filters to aggressive detrenders. With this toolkit, you can build custom indicators tailored to your specific trading strategy, whether you're looking for trend following, mean reversion, or cycle identification approaches.
🌸 --------- 2. FILTER METHODS AND TYPES --------- 🌸
💮 Filter categories
The available filters fall into four main categories, each marked with a distinct symbol:
🌗 Low Pass Filters (Smoothers)
These filters attenuate high-frequency components (noise) while allowing low-frequency components (trends) to pass through. Examples include:
Ultimate Smoother
Super Smoother (2-pole and 3-pole variants)
MESA Adaptive Moving Average (MAMA) and Following Adaptive Moving Average (FAMA)
BiQuad Low Pass Filter
ADXvma (Adaptive Directional Volatility Moving Average)
A2RMA (Adaptive Autonomous Recursive Moving Average)
Low pass filters are displayed on the price chart by default, as they follow the overall price movement. If they are combined with a high-pass or bandpass filter, they will be displayed in the subgraph.
🌓 High Pass Filters (Detrenders)
These filters do the opposite of low pass filters - they remove low-frequency components (trends) while allowing high-frequency components to pass through. Examples include:
Butterworth High Pass Filter
BiQuad High Pass Filter
High pass filters are displayed as oscillators in the subgraph below the price chart, as they fluctuate around a zero line.
🌑 Band Pass Filters (Cycle Isolators)
These filters combine aspects of both low and high pass filters, isolating specific frequency ranges while attenuating both higher and lower frequencies. Examples include:
Ehlers Bandpass Filter
Cyber Cycle
Relative Vigor Index (RVI)
BiQuad Bandpass Filter
Band pass filters are also displayed as oscillators in a separate panel.
🔮 Predictive Filter
Voss Predictive Filter: A special filter that attempts to predict future values of band-limited signals (only to be used as post-filter). Keep its prediction horizon short (1–3 bars) for reasonable accuracy.
Note that the the library contains elaborate documentation and source material of each filter.
🌸 --------- 3. INDICATOR FEATURES --------- 🌸
💮 Multi-filter configuration
One of the most powerful aspects of this indicator is the ability to configure multiple filters. compare them and observe their combined effects. There are four primary filters, each with its own parameter settings.
💮 Post-filtering
Process a filter’s output through an additional filter by enabling the post-filter option. This creates a filter chain where the output of one filter becomes the input to another. Some powerful combinations include:
Ultimate Smoother → MAMA: Creates an adaptive smoothing effect that responds well to market changes, good for trend-following strategies
Butterworth → Super Smoother → Butterworth: Produces a well-behaved oscillator with minimal phase distortion, John Ehlers also calls a "roofing filter". Great for identifying overbought/oversold conditions with minimal lag.
A bandpass filter → Voss Prediction filter: Attempts to predict future movements of cyclical components, handy to find peaks and troughs of the market cycle.
💮 Aggregate filters
Arguably the coolest feature: aggregating filters allow you to combine multiple filters with different weights. Important notes about aggregation:
You can only aggregate filters that appear on the same chart (price chart or oscillator panel).
The weights are automatically normalised, so only their relative values matter
Setting a weight to 0 (zero) excludes that filter from the aggregation
Filters don't need to be visibly displayed to be included in aggregation
💮 Rich visualisation & alerts
The indicator intelligently determines whether a filter is displayed on the price chart or in the subgraph (as an oscillator) based on its characteristics.
Dynamic colour palettes, adjustable line widths, transparency, and custom fill between any of enabled filters or between oscillators and the zero-line.
A clear legend showing which filters are active and how they're configured
Alerts for direction changes and crossovers of all filters
🌸 --------- 4. ACKNOWLEDGEMENTS --------- 🌸
This toolkit builds on the work of numerous pioneers in technical analysis and digital signal processing:
John Ehlers, whose groundbreaking research forms the foundation of many filters.
Robert Bristow-Johnson for the BiQuad filter formulations.
The TradingView community, especially @The_Peaceful_Lizard, @alexgrover, and others mentioned in the code of the library.
Everyone who has provided feedback, testing and support!
WD Gann: Close Price X Bars Ago with Line or Candle PlotThis indicator is inspired by the principles of WD Gann, a legendary trader known for his groundbreaking methods in time and price analysis. It helps traders track the close price of a security from X bars ago, a technique that is often used to identify key price levels in relation to past price movements. This concept is essential for Gann’s market theories, which emphasize the relationship between time and price.
WD Gann’s analysis often revolved around specific numbers that he considered significant, many of which correspond to squared numbers (e.g., 1, 4, 9, 16, 25, 36, 49, 64, 81, 100, 121, 144, 169, 196, 225, 256, 289, 324, 361, 400, 441, 484, 529, 576, 625, 676, 729, 784, 841, 900, 961, 1024, 1089, 1156, 1225, 1296, 1369, 1444, 1521, 1600, 1681, 1764, 1849, 1936). These numbers are believed to represent natural rhythms and cycles in the market. This indicator can help you explore how past price levels align with these significant numbers, potentially revealing key price zones that could act as support, resistance, or reversal points.
Key Features:
- Historical Close Price Calculation: The indicator calculates and displays the close price of a security from X bars ago (where X is customizable). This method aligns with Gann's focus on price relationships over specific time intervals, providing traders with valuable reference points to assess market conditions.
- Customizable Plot Type: You can choose between two plot types for visualizing the historical close price:
- Line Plot: A simple line that represents the close price from X bars ago, ideal for those who prefer a clean and continuous representation.
- Candle Plot: Displays the close price as a candlestick chart, providing a more detailed view with open, high, low, and close prices from X bars ago.
- Candle Color Coding: For the candle plot type, the script color-codes the candles. Green candles appear when the close price from X bars ago is higher than the open price, indicating bullish sentiment; red candles appear when the close is lower, indicating bearish sentiment. This color coding gives a quick visual cue to market sentiment.
- Customizable Number of Bars: You can adjust the number of bars (X) to look back, providing flexibility for analyzing different timeframes. Whether you're conducting short-term or long-term analysis, this input can be fine-tuned to suit your trading strategy.
- Gann Method Application: WD Gann's methods involved analyzing price action over specific time periods to predict future movements. This indicator offers traders a way to assess how the price of a security has behaved in the past in relation to a chosen time interval, a critical concept in Gann's theories.
How to Use:
1. Input Settings:
- Number of Bars (X): Choose the number of bars to look back (e.g., 100, 200, or any custom period).
- Plot Type: Select whether to display the data as a Line or Candles.
2. Interpretation:
- Using the Line plot, observe how the close price from X bars ago compares to the current market price.
- Using the Candles plot, analyze the full price action of the chosen bar from X bars ago, noting how the close price relates to the open, high, and low of that bar.
3. Gann Analysis: Integrate this indicator into your broader Gann-based analysis. By looking at past price levels and their relationship to significant squared numbers, traders can uncover potential key levels of support and resistance or even potential reversal points. The historical close price can act as a benchmark for predicting future market movements.
Suggestions on WD Gann's Emphasis in Trading:
WD Gann’s trading methods were rooted in several key principles that emphasized the relationship between time and price. These principles are vital to understanding how the "Close Price X Bars Ago" indicator fits into his overall analysis:
1. Time Cycles: Gann believed that markets move in cyclical patterns. By studying price levels from specific time intervals, traders can spot these cycles and predict future market behavior. This indicator allows you to see how the close price from X bars ago relates to current market conditions, helping to spot cyclical highs and lows.
2. Price and Time Squaring: A core concept in Gann’s theory is that certain price levels and time periods align, often marking significant reversal points. The squared numbers (e.g., 1, 4, 9, 16, 25, etc.) serve as potential key levels where price and time might "square" to create support or resistance. This indicator helps traders spot these historical price levels and their potential relevance to future price action.
3. Geometric Angles: Gann used angles (like the 45-degree angle) to predict market movements, with the belief that prices move at specific geometric angles over time. This indicator gives traders a reference for past price levels, which could align with key angles, helping traders predict future price movement based on Gann's geometry.
4. Numerology and Key Intervals: Gann paid particular attention to numbers that held significance, including squared numbers and numbers related to the Fibonacci sequence. This indicator allows traders to analyze price levels based on these key numbers, which can help in identifying potential turning points in the market.
5. Support and Resistance Levels: Gann’s methods often involved identifying levels of support and resistance based on past price action. By tracking the close price from X bars ago, traders can identify past support and resistance levels that may become significant again in future market conditions.
Perfect for:
Traders using WD Gann’s methods, such as Gann angles, time cycles, and price theory.
Analysts who focus on historical price levels to predict future price action.
Those who rely on numerology and geometric principles in their trading strategies.
By integrating this indicator into your trading strategy, you gain a powerful tool for analyzing market cycles and price movements in relation to key time intervals. The ability to track and compare the historical close price to significant numbers—like Gann’s squared numbers—can provide valuable insights into potential support, resistance, and reversal points.
Disclaimer:
This indicator is based on the methods and principles of WD Gann and is for educational purposes only. It is not intended as financial advice. Trading involves significant risk, and you should not trade with money that you cannot afford to lose. Past performance is not indicative of future results. The use of this indicator is at your own discretion and risk. Always do your own research and consider consulting a licensed financial advisor before making any investment decisions.
Stage AnalysisStage Analysis was created by Stan Weinstein, and helps traders to identify where a stock/etf/index is in its Price Cycle.
The Price Cycle was introduced by Richard D. Wyckoff in the early 1900s, where he noted that stocks repeatedly go through a cycle of Accumulation, Markup, Distribution and Markdown. Stan Weinstein’s Stage Analysis method modified the Wyckoff Price Cycle, and converted it into four stages, which are:
Stage 1 = Accumulation
Stage 2 = Markup
Stage 3 = Distribution
Stage 4 = Markdown
Stage Analysis indicator:
Stan Weinstein had different definitions for the four stages – Stage 1: The Basing Area, Stage 2: The Advancing Phase, Stage 3: The Top Area, Stage 4: The Declining Phase. But for the purposes of the Stage Analysis indicator, you’ll note that we’ve combined Stage 1 and Stage 3, as they share numerous technical characteristics, and in our opinion, still require some discretionary judgement to determine whether they are showing accumulation or distribution characteristics.
So, we believe that neutral better describes them from a purely technical aspect, as being in Stage 3 doesn’t necessarily mean the top area, as it can still make a Stage 2 continuation breakout to new highs, instead of breaking down into Stage 4. Just as a Stage 1 basing pattern, can still make a further Stage 4 continuation breakdown, and won’t necessarily breakout into a Stage 2 advance. Hence, we display both Stage 1 and Stage 3 as Neutral, to help remove the perceived bias associated with Stage 3 and Stage 1.
So, in the indicator the Stages are displayed as three different colored backgrounds:
Blue = Stage 1 / Stage 3: Neutral
Green = Stage 2: Uptrend
Red = Stage 4: Downtrend
Stage 1 / Stage 3: Neutral (Blue background)
Stage 1 shows signs of a potential accumulation base structure developing and begins with a close above the 30-week simple moving average, when the stock is still below its (usually declining) 40-week MA as well, following a Stage 4 downtrend, and then remains in Stage 1 until either it breaks out into a Stage 2 uptrend, or returns to a Stage 4 downtrend once more. Although, there are often multiple failed breakout and breakdown attempts, which change the Stage briefly to Stage 2 or Stage 4, before reverting back into Stage 1, as the base broadens out.
The initial move into Stage 1 can occur in numerous different ways. Sometimes following a powerful rebound rally from the 52-week lows to above the 30-week MA, and at other times, after a basing period first, while the stock is still in Stage 4, and then only briefly moving into Stage 1, before breaking out into a new Stage 2 uptrend. But with all ways, there is a notable Change of Character compared to the previous Stage 4 downtrend, as supply and demand moves towards equilibrium, and the stock starts to build a more significant sideways range/base structure.
Stage 3 is the exact opposite of Stage 1, and instead of accumulation. Signs of distribution begin to appear when a stock is getting later in a Stage 2 Uptrend, with the stock first closing below its 30-week MA, and then starting to build a more significant sideways range/base structure, than the minor structures that formed when it was still trending higher in Stage 2.
It begins with a change of behaviour (i.e. a bigger correction than seen during the rest of Stage 2, that takes it below its 30-week, but still above its (usually rising) 40-week MA, and then that often broadens out into a sideways structure, with multiple swings above and below the 30-week MA, with tests of the highs and lows of the developing structure. Which can see it briefly revert to Stage 2, with failed breakout attempts at the highs (Upthrusts), or Stage 4, with failed breakdown attempts at the lows of the structure (Shakeouts or Springs).
So, Stage 1 and Stage 3 are both more neutral periods between the Stage 2 (Uptrend) and Stage 4 (Downtrend).
Stage 2: Uptrend (Green Background)
Stage 2 is the most important Stage for traders looking to buy stocks with the Stage Analysis method, and begins with a breakout from the prior Stage 1 base, but can also occur more suddenly from a V-bottom pattern or earnings gaps. In which case, it will move directly from a Stage 4 downtrend into a Stage 2 uptrend.
The move to Stage 2 requires certain technical aspects to be present, including a close above its near-term range (we use a 13-week range based on weekly closes), as well as its 200-day MA (40-week MA), and for our proprietary Stage Analysis Technical Attributes (SATA)* score to be at a least a SATA 6 of 10. And so, the change from Stage 1 to Stage 2 will often occur while the stock is still within a “broader” base structure, as the quarterly range is continually shifting, and doesn’t consider technical levels prior to that period.
The breakout point as Stage 2 begins is the Stage Analysis methods favoured entry zone for investors, as it marks the change from the Stage 1 basing period into the more dynamic Stage 2 uptrend (chart changes to green)
A secondary investor entry point can often form soon after the Stage 2 breakout, as the momentum fades from the initial rally, and it pulls back towards the breakout level, before finding support and swinging back higher into the advancing phase. So, the Stage Analysis indicator can be used to determine this secondary entry point by dropping down to an intraday timeframe – such as the 30-minute chart, and waiting for a Stage 2 breakout attempt on that much shorter timescale.
The Trader method entry points also form during the Stage 2 advance, and occur at the Stage 2 continuation breakout points of the more minor re-accumulation bases that form as the Stage 2 advance progresses higher.
Stage 4: Downtrend (Red Background)
Stage 4 is the opposite of Stage 2, and marks the beginning of a potential downtrend, as the distributional forces from Stage 3 gain control, and the stock attempts to move lower.
Stage 4 is the most important Stage for traders looking to short stocks with the Stage Analysis method, and as with Stage 2, it can also begin more suddenly following a sudden sharp decline or an earnings gap lower etc, that knifes through the key MAs and quarterly range.
The move to Stage 4 also requires certain technical aspects to be present, including a close below its near-term range (we use a 13-week range based on weekly closes), as well as its 200-day MA (40-week MA), and for our proprietary Stage Analysis Technical Attributes (SATA) score to be a maximum of a SATA 3 of 10, as if the SATA score is higher than 3, then it will still be considered as Stage 3 (blue) until that drops to a SATA 3 or lower.
The initial short entry point in Stage 4 occurs at the breakdown from Stage 3 to Stage 4 (chart changes to red), and as with Stage 2, a secondary entry point can form, but in Stage 4 it is on a potential pullback towards the breakdown level that then reverses lower once more. So, the Stage Analysis indicator can be used to determine this secondary entry point by dropping down to an intraday timeframe – such as the 30-minute chart, and waiting for a Stage 4 breakdown attempt on that much shorter timescale.
The Trader method short entry points also form during the Stage 4 decline, and occur at the Stage 4 continuation breakdown points of the more minor re-distribution bases that form as the Stage 4 decline progresses lower.
Recommended Chart Setup:
Weekly
Logarithmic scale
Recommended Indicators:
10 – Simple Moving Average
30 – Simple Moving Average
40 – Simple Moving Average (optional)
Mansfield Relative Strength (Original Version) (optional)
Stage Analysis Technical Attributes (SATA) (optional)
The Stages are intended to be used on the Weekly timeframe with a Logarithmic scale primarily, with a 10-week MA, 30-week MA and 40-week MA. But Stage Analysis can be used across multiple timeframes. So, for shorter-term swing traders, the 195-min (2bars/day), 2-hour, 1-hour, 30-min charts etc are often used with the same relative chart settings. But note that the lower the timeframe, the more noise that you’ll get, so you should always refer back to the weekly Stage to trade with the major trend.
Customise the Stage Analysis indicator
Edit colours of the Stages
Show/Hide Stages
Reference:
*Stage Analysis Technical Attributes (SATA)
The Stage Analysis Technical Attributes (SATA) scoring system is our proprietary tool which measures 10 of the key components that we look for in the Stage Analysis method to help to determine the Stage, and is made up of the following components:
Breakouts and Breakdowns
Price / Moving Averages
Relative Strength versus the S&P 500
Momentum
Volume
Overhead Resistance
Combining the SATA score with the price elements described in the Stages descriptions above, provides a Stage Analysis indicator that is faithful to Stan Weinstein's Stage Analysis method, and truly unique from other more simplistic automated versions of the Stages that you might find elsewhere.
Disclaimer: This indicator is for informational and educational purposes only. We accept no liability for any loss which may arise from the use of this indicator. All trading decisions are your own, and should be researched thoroughly, with appropriate risk management in place.
We are not affiliated with Stan Weinstein, and this is our own unique interpretation of the Stage Analysis method, based on our long experience with it.
Financial Astrology Indexes ML Daily TrendDaily trend indicator based on financial astrology cycles detected with advanced machine learning techniques for some of the most important market indexes: DJI, UK100, SPX, IBC, IXIC, NI225, BANKNIFTY, NIFTY and GLD fund (not index) for Gold predictions. The daily price trend is forecasted through planets cycles (angular aspects, speed phases, declination zone), fast cycles are based on Moon, Mercury, Venus and Sun and Mid term cycles are based on Mars, Vesta and Ceres . The combination of all this cycles produce a daily price trend prediction that is encoded into a PineScript array using binary format "0 or 1" that represent sell and buy signals respectively. The indicator provides signals since 2021-01-01 to 2022-12-31, the past months signals purpose is to support backtesting of the indicator combined with other technical indicator entries like MAs, RSI or Stochastic . For future predictions besides 2022 a machine learning models re-train phase will be required.
When the signal moving average is increasing from 0 to 1 indicates an increase of buy force, when is decreasing from 1 to 0 indicates an increase in sell force, finally, when is sideways around the 0.4-0.6 area predicts a period of buy/sell forces equilibrium, traders indecision which result in a price congestion within a narrow price range.
We also have published same indicator for Crypto-Currencies research portfolio:
DISCLAIMER: This indicator is experimental and don’t provide financial or investment advice, the main purpose is to demonstrate the predictive power of financial astrology. Any allocation of funds following the documented machine learning model prediction is a high-risk endeavour and it’s the users responsibility to practice healthy risk management according to your situation.
Fibonacci Degree System This Pine Script creates a sophisticated technical analysis tool that combines Fibonacci retracements with a degree-based cycle system. Here's a comprehensive breakdown:
Core Concept
The indicator maps price movements onto a 360-degree circular framework, treating market cycles like geometric angles. It creates a visual "mesh" where Fibonacci ratios intersect in both price (horizontal) and time (vertical) dimensions.
How It Works
1. Finding Reference Points
The script looks back over a specified period (default 100 bars) to identify:
Highest High: The peak price point
Lowest Low: The trough price point
Time Locations: Exactly which bars these extremes occurred on
These two points form the boundaries of your analysis window.
2. Creating the Fibonacci Grid
Horizontal Lines (Price Levels):
The script divides the price range between high and low into seven key Fibonacci ratios:
0% (Low) - Bottom boundary in red
23.6% - Minor retracement in orange
38.2% - Shallow retracement in yellow
50% - Midpoint in lime green
61.8% - Golden ratio in aqua (most significant)
78.6% - Deep retracement in blue
100% (High) - Top boundary in purple
Each line represents a potential support/resistance level where price might react.
Vertical Lines (Time Cycles):
The same Fibonacci ratios are applied to the time dimension between the high and low bars. If your high and low are 50 bars apart, vertical lines appear at:
Bar 0 (0%)
Bar 12 (23.6%)
Bar 19 (38.2%)
Bar 25 (50%)
Bar 31 (61.8%)
Bar 39 (78.6%)
Bar 50 (100%)
These suggest when price might make significant moves.
3. The Degree Mapping System
The innovative feature maps the time progression to degrees:
0° = Start point (0% time)
85° = 23.6% through the cycle
138° = 38.2% through the cycle
180° = Midpoint (50%)
222° = 61.8% through the cycle (golden angle)
283° = 78.6% through the cycle
360° = Complete cycle (100%)
This treats market movements as circular patterns, similar to how planets orbit or pendulums swing.
Visual Output
When you apply this indicator, you'll see:
A rectangular mesh extending beyond your high-low range (by 150% default)
Color-coded horizontal lines showing price Fibonacci levels
Matching vertical lines showing time Fibonacci intervals
Price labels on the right showing percentage levels
Degree labels at the bottom showing the angular position in the cycle
Intersection points creating a grid of potentially significant price-time coordinates
Trading Application
Traders use this to identify:
Support/Resistance Zones: Where horizontal and vertical lines intersect
Time Targets: When price might reverse (at vertical Fibonacci times)
Cycle Completion: When approaching 360°, a new cycle may begin
Harmonic Patterns: Geometric relationships between price and time
Customization Features
The script offers extensive control:
Lookback period: Adjust cycle length (10-500 bars)
Mesh extension: How far to project the grid forward
Visual toggles: Show/hide horizontal lines, vertical lines, labels
Styling: Line thickness, style (solid/dashed/dotted), colors
Label positioning: Fine-tune text placement for readability
The intersection at 61.8% time and 61.8% price at 222° becomes a key target zone.
This tool essentially converts the abstract concept of market cycles into a concrete, visual geometric framework that traders can analyze and act upon.
DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice.
No guarantee of profits: Past performance and theoretical models do not guarantee future results. Trading and investing involve substantial risk of loss.
Not a recommendation: This script illustration does not constitute a recommendation to buy, sell, or hold any financial instrument.
Do your own research: Always conduct thorough independent research and consider consulting with a qualified financial advisor before making any trading decisions.
QuantMotions - Pivot Timeline ProjectionQuantMotions – Pivot Timeline Projections is an advanced time-based forecasting tool that uses a unique Twin Pivot model to project future price-time structures.
It combines classical Gann principles with modern quantitative logic to generate highly precise time projections, dynamic angles, and future support/resistance timelines across multiple timeframes.
Whenever two matching pivots (High ↔ Low) of the same length are detected, the indicator calculates a true calendar-time angle and extends it forward, forming dynamic Gann-style fans that adapt to the market in real time.
Perfect for traders who want to integrate price + time forecasting into their strategy.
Key Features:
✔ Twin Pivot Detection
Automatically identifies valid pivot pairs of equal cycle length and opposite direction.
Once confirmed, the pivot becomes a time anchor for future projections.
✔ True Time-Based Angle Projections
Unlike standard Gann tools that rely on bar-counting, this indicator uses real calendar time (milliseconds) to calculate:
This produces significantly more accurate forecasting lines.
✔ Multi-Timeframe Pivot Cycles
Activate time cycles such as:
30M, 1H, 4H, 12H
1D, 7D, 30D
60D, 90D, 120D, 180D, 270D, 360D
Each cycle uses a dedicated color and projection style for clarity.
✔ Dynamic Support/Resistance Timefans
- Every confirmed pivot generates two future projections:
- The main time-angle projection (Gann-style forward fan)
- A secondary projection based on a fixed ratio (1/8), acting as dynamic future support
Both extend until the structure breaks based on ATR tolerance.
✔ ATR-Based Validation
Projection lines remain valid until price breaks them with a configurable ATR multiplier.
This removes noise and keeps only meaningful structures.
✔ Volume Delta Tracking (Optional)
Tracks up-volume and down-volume along the time cycle to validate directional bias.
Info labels show:
- cycle length
- angle
- delta volume
- delta percentage
Seconds-based volume tracking supported for Premium users.
✔ Smart Info Labels
Displays detailed pivot information only for the highest-timeframe pivot at each bar
→ ensures high usability without chart clutter.
🔷 Why This Indicator Is Special
This tool merges Gann angles, time cycles, and quantitative price action into a single engine.
It does not rely on static angles or simple bar offsets.
Instead, it uses:
- real time
- real slope
- real cycle symmetry
- real price movement
The result is a uniquely accurate forecasting model that is extremely difficult to replicate manually.
🔷 Perfect For
- Intraday traders
- Swing traders
- Index, Crypto, Metals, and FX traders
- Gann and cycle-based analysts
- Structure and trend change detection
- Time/price projection strategies
🔷 Inputs & Customization
- ATR break tolerance
- Multiple cycle activation toggles
- Custom color sets for each timeframe
- Second-based or standard timeframe volume tracking
- Enable/Disable info labels
🔷 Note
Some features (like seconds-based volume tracking) depend on TradingView Premium and additional broker data sources.
Loading times may vary when many long-term cycles are enabled simultaneously.
🔷 Access
This is an Invite-Only Script by QuantMotions.
Access is granted after purchase.
For more information, please visit the official product page or contact us directly.
ATC v6 with ORB by SabnATC v6 with ORB: Advanced Automatic Session and Opening
Range Indicator
ATC v6 is an advanced indicator designed by Alfa Trade Club for
TradingView users. This tool not only automatically marks important session
opens, closes, or specific times of financial markets on your chart but also
visualizes powerful Opening Range (ORB) strategies directly on your chart.
This tool removes the need to manually monitor critical trading hours, allowing
you to easily analyze price action in relation to these important timeframes.
Key Features
This indicator comes with a set of powerful features to provide the flexibility,
visual clarity, and strategic advantage that traders need:
1. Multi-Time Zone Support The indicator is based on the world's most
important financial market centers:
New York (America/New_York)
London (Europe/London)
Tokyo (Asia/Tokyo)
Istanbul (Europe/Istanbul)
This allows you to always set the lines accurately according to the local time of
the market you are trading.
2. Advanced 3-Stage Timing (Pre / Main / Next) Each time line is more than
just a simple line; it can manage a three-stage event cycle:
"Pre-Session": Draws a dotted line a few minutes before the main time you
specify (e.g., market open). This allows you to see the price level just before a
significant event.
"Main Session": Marks the opening price at the exact event time (e.g., 08:00
London Open) with a solid line.
"Next / ORB" (Opening Range): Draws another dotted line a specified number
of minutes after the main event (e.g., 15 minutes later). This is used to define the
Opening Range.
3. Automatic Price Boxes (Volatility & ORB) The indicator can draw two
different types of boxes based on this timing:
Opening Volatility Box (Pre -> Main): If the "Pre-Session" feature is active, the
indicator draws a colored box between the price at the pre-session moment and
the price at the main event. This box visualizes the initial volatility at the session
open.
Opening Range Box (Main -> Next): If the "Next" feature is active, the indicator
draws a box between the price at the main event and the "next" event.
4. Customizable Time Lines You have full control over each line. Users can:
Enable/Disable each line.
Set any desired hour and minute.
Define the "Pre" and "Next" durations in minutes.
Assign a different color for visual distinction.
5. Smart and Efficient Drawing
Forward-Extending Lines: All drawn lines and boxes automatically extend from
the moment they are created until the next day. This makes it easy to track how
these levels act as support/resistance throughout the day.
High Performance: Instead of deleting old lines and drawing new ones when a
new day starts, the code intelligently extends the existing lines into the next day
Weekend and DST Protection: Automatically skips weekends (from Friday to
Monday) and is not affected by Daylight Saving Time (DST) changes.
Who Is It For?
Session-Focused Traders: Ideal for those who track volatility during the London,
New York, Asian, or Istanbul session opens.
Day Traders: Perfect for those who want to mark important economic data
release times or daily market open/close levels.
Technical Analysts: A powerful aid for those who want to visually analyze how
opening prices at specific times and time ranges play a role throughout the day.
ATC v6 with ORB is much more than just a simple session line; it is a dynamic
analysis and strategy tool that combines price and time.
HADES Timecycle SMTWhat this indicator tracks
1) Time‑cycles based on QT (Micro → 90‑minute → Daily → Weekly)
HADESSMT segments the trading day and week into recurring phases and paints them directly on your chart:
real time plotting of SSMTs for Micro cycles, when Q1 and Q2 highs or lows are different for correlated assets. same for the 90‑minute quarters , Daily cycles and Weekly cycles
2) SSMT : The script continuously compares your chart to a correlated instrument and highlights cycle‑scoped SMT divergences :
Scopes: Micro, 90m, Daily, Weekly.
The tool draws compact slanted segments between consecutive cycle highs/lows and places a small label with the scope tag (e.g., 90m, D, W, Mic.) and the comparison ticker.
Table summary: A docked panel logs Bullish/Bearish SMT currently active per scope.
In plain English: when two tightly related markets fail to confirm each other’s new extremes inside the same cycle window, HADESSMT calls that out visually and in the table.
3) PSP /scanner (👁️)
A compact scanner runs on 240m, 60m, and 15m composite views of your chosen inter‑market set and tags bars with an eye icon (👁️):
👁️ below price → a bullish turning‑point signature.
👁️ above price → a bearish turning‑point signature.
Events are logged in the table (e.g., “60m Bullish PSP 👁️”).
Treat PSP tags as context—they’re not trade signals by themselves. They often add confluence when they align with SSMT and cycle boundaries.
4) “True Open” levels
includes a daily open line that marks midnight open for the day.
Inter‑market sets (Triads & Dyads)
HADESSMT automatically picks a comparison instrument based on what you’re charting. Two mechanisms exist:
Triads (auto‑pairing):
FX: EUR + GBP ↔ inverse DXY
Metals: Gold + Silver
US Indices: NQ + YM + ES
You can show one or both comparison legs.
Tip: If you don’t see SMT labels, ensure your symbol belongs to one of the configured sets or customize the tickers in Triad inputs.
On‑chart visuals you’ll see
Thin slanted SMT markers between successive cycle extremes with a small scope/ticker tag.
👁️ PSP labels on higher‑timeframe bars.
True‑Open lines labeled 00:00 (daily) .
Summary table (right side by default) containing:
The comparison ticker currently in use,
Any active Bullish/Bearish SMT per scope,
Recent PSP 👁️ calls at 240/60/15 minutes.
How to use it (practical flow)
Pick your market & ensure a comparison exists (Triad ).
Important: HADESSMT is a context engine, not a trade system. Use your own risk management and confirmation.
Triad– enable one/both SMT comparisons; edit the default tickers if your broker symbols differ.
Timezone – UTC offset (default -4) to align cycle splits with your session.
Micro features appear on charts ≤ 5m.
90‑minute features are designed for charts ≤ 30m.
Daily features prefer charts ≤ 3h.
Weekly features render reliably on daily charts and below.
(If a layer doesn’t appear, you may be on a timeframe above its designed threshold.)
FAQs
Why don’t I see SMT on my market?
Ensure the symbol is in one of the configured Triad sets, or add your own correlated ticker(s).
What exactly is PSP?
A compact pressure/turn signature across your inter‑market set. It’s presented as an 👁️ tag and a table entry (bullish/bearish). The internal detection specifics are intentionally abstracted.
