PO3 HTF (5 Bars, 2 TFs)Displays 5 bars across 2 automatic higher timeframes.
On charts up to 15 minutes, displays 1h and 3h (*).
On charts up to 1 hour, displays 3h (*) and 1d.
On charts up to 3 hours (*), displays 1d and 1w.
On charts up to 1 day, displays 1w and 1M.
(*) There is a parameter to work with 3h or 4h timeframes.
Educational
CandleMapTF — Orderflow Compression Map Description:
Multi-timeframe compression map Tracks volatility compression
and highlights:
- Compression zones
- Wick Breakers
- Close Breakers
- Generic Breakouts from compression
across up to 4 user-defined timeframes.
Disclaimer:
This script is for educational and informational purposes only and does not
constitute financial advice, investment advice, or a trading recommendation.
Use at your own risk.
CandleMapTF — Candlestick Framework Description:
Multi-timeframe candlestick framework.
Highlights Inside Bars (IB), Outside Bars (OB), and Mother Bar Breakers (BRK)
across up to 4 user-defined timeframes.
Disclaimer:
This script is for educational and informational purposes only and does not
constitute financial advice, investment advice, or a trading recommendation.
Use at your own risk.
SG Capital Group trade assistantThe SG Capital Group Trade Assistant is designed to bring clarity and structure to your charts by automatically highlighting the most important market timings and daily transitions. It marks the start of each trading day and visually identifies key session moments, including the New York market open and your own customized session end time. The indicator also displays the days of the week directly on the chart, with adjustable text size and formatting to match your personal preference. All elements stay out of the way of price action, keeping your chart clean while still giving you immediate context. This tool helps traders maintain focus, understand market rhythm more intuitively, and streamline their analysis without distractions.
Sphinx Trade ChecklistSphinx Trade Checklist — Your Rule-Based Trading Companion
Sphinx Trade Checklist is not a price-based indicator — it’s a structured decision-making tool designed to help traders follow a consistent, rule-based approach before entering any trade.
This checklist window guides you through a complete top-down analysis process:
1. Bias (Higher Timeframe) — Daily
Start by identifying the overall market bias. Determine whether price is in premium/discount, note any FVGs/imbalances, and confirm the larger directional context. This prevents impulsive trades and keeps you aligned with the dominant flow.
2. Mid-Term Structure — 4H / 1H
Next, analyze the mid-term structure:
• Key swing points
• Liquidity levels
• OB zones / FVGs
• SMT divergence
This section ensures you understand the structural roadmap that price is currently respecting.
3. Micro Entry — 15m / 5m
Finally, refine your entry on the lower timeframes. Look for your specific confirmations such as:
• Liquidity sweeps
• FVGs
• CHoCH / BOS
• Discount / Premium entries
This is the final step before execution, helping you stay disciplined and avoid weak, emotional trades.
⸻
Why This Tool Matters
Most traders lose not because of strategy but because they skip steps, enter too early, or misread the higher timeframe bias.
Sphinx Trade Checklist keeps your process organized, objective, and consistent — forcing you to confirm each layer of analysis before pressing the button.
Whether you’re a beginner building good habits or an advanced trader wanting more structure, this tool helps you stay crystal-clear on your bias, structure, and entry criteria.
MMM Time Stamp & Asian Session @MaxMaserati 3.0═════════════════════════════════════════════════════════════MMM TimeStamps & Asia @MaxMaserati 3.0 ═════════════════════════════════════════════════════════════
This indicator helps intraday traders identify critical market timing and key liquidity zones. It displays customizable time labels at major market events (market open, pre-market moves, session changes) and automatically tracks the Asian session range with high, low, and mid-level lines.
The Asian session levels act as important reference points for institutional order flow and potential support/resistance zones during subsequent trading sessions. Lines extend forward until broken, helping traders identify when price takes liquidity or respects these key levels.
The visual background and customizable labels make it easy to spot session boundaries and plan trades around these high-probability zones.
Ideal for traders following ICT concepts, session-based strategies, SMC or anyone needing clear visual markers for time-based analysis on intraday charts.
Hyper MACDThe Hyper MACD is a customizable momentum indicator exclusively designed for Scalping that blends traditional MACD logic with dynamic signal coloring, overbought/oversold detection, and WaveTrend overlays. It supports multiple moving average types and highlights key momentum shifts with visual markers and alerts.
The settings/alerts are self explanatory and are optimized for quick scalping, works for any timeframe.
Suggested rules are.
The MACD line and Signal line must be above the zero line to scalp
The price begins do decay when the Signal turns from white to orange, however if both the lines are above zero line, then its still game to scalp but cautiously.
The colors are telling on both the lines, blue indicates a bullish surge on both and green on macd and white on signal suggests the bullish trend continuation
It also prints take profit arrows along the way, and also possible trend reversals.
Previous Period Close & Live VWAP @MaxMaserati 3.0 Previous Period Close & Live VWAP @MaxMaserati 3.0 ═════════════════════════════════════════════════════════════A professional-grade Volume Weighted Average Price (VWAP) indicator designed for dual-timeframe analysis, providing essential institutional-level insights for day, swing, and institutional traders. ═════════════════════════════════════════════════════════════VWAP ═════════════════════════════════════════════════════════════VWAP is the Volume Weighted Average Price—the average price adjusted for the volume traded at each price level. It gives higher importance to prices where more transactions occurred.
CALCULATION:
VWAP = Σ(Price × Volume) / Σ(Volume)
WHY IT'S CRITICAL:
It represents the true average price paid by all market participants.
Institutions use it as a benchmark for trade execution quality.
It functions as a dynamic support and resistance level driven by volume.
More reliable than simple moving averages for intraday trading.
═════════════════════════════════════════════════════════════
MMM PRO VWAP @MaxMaserati 3.0 Features
═════════════════════════════════════════════════════════════ This indicator displays the closed VWAP level from the previous period alongside a dynamic, live VWAP line for the current period. This setup allows for immediate comparison of current price action relative to the prior period's volume-weighted average.
PREVIOUS PERIOD PRESSURE-BASED COLORING
The color of the previous period's close instantly reveals the dominant pressure:
GREEN: If the VWAP closed HIGHER than it opened, indicating dominant buying volume (Bulls won).
RED: If the VWAP closed LOWER than it opened, indicating dominant selling volume (Bears won).
This provides instant, actionable insight into the market's recent sentiment.
═════════════════════════════════════════════════════════════
Trading Applications & Strategy Ideas
═════════════════════════════════════════════════════════════
INTRADAY TRADING (VWAP 1 - Daily)
Bullish Bias: Price trading above the Daily VWAP (look for long setups).
Bearish Bias: Price trading below the Daily VWAP (look for short setups).
The Previous Close VWAP acts as a key support/resistance level.
The previous close color provides immediate daily sentiment.
SWING TRADING (VWAP 2 - Weekly/Monthly)
Use the higher timeframe VWAP (Weekly/Monthly) to establish the major trend direction.
Combine both VWAPs for multi-timeframe confluence and stronger conviction trades.
INSTITUTIONAL INSIGHTS
VWAP is considered the fair value based on volume.
Previous period close levels are crucial institutional zones.
Price often exhibits mean reversion, tending to move back towards the VWAP.
CORE STRATEGY IDEAS:
Buy (Long) when price tests the Daily VWAP from above (support).
Sell (Short) when price tests the Daily VWAP from below (resistance).
Use the previous close color for quick sentiment analysis. ═════════════════════════════════════════════════════════════
Pro Tips for Enhanced Analysis
═════════════════════════════════════════════════════════════
Confluence: The strongest setups occur when price is above both Daily and Monthly VWAP (bullish) or below both (bearish).
Reversion: Extreme deviations from VWAP suggest an imminent return to the mean. Previous close levels act as price magnets.
Trend Confirmation: Consistent price movement above VWAP confirms a strong uptrend; consistent movement below confirms a strong downtrend.
Institutional Focus: The end-of-day VWAP close highlights whether bulls or bears controlled the period. This pressure can often carry over.
Risk Management: Do not trade against the established VWAP bias without strong, independent confirmation. Use previous close levels as stop-loss references. ═════════════════════════════════════════════════════════════
Important Notes
═════════════════════════════════════════════════════════════
Timeframe Consistency: The VWAP line is timeframe-independent. The Daily VWAP will appear the same on a 1-minute chart as it does on a 4-hour chart.
Previous Close Persistence: The previous period close level remains on the chart until the next period's reset, serving as a critical historical reference point.
Volume Dependency: VWAP's reliability is highest during liquid market hours. Use caution during low-volume periods.
Not a Complete Strategy: This is an indicator tool. Always use it with robust risk management and combine it with your existing analysis methods. ═══════════════════════════════════════════════════════════
MTFX Asia SessionThis free tool automatically maps the Asia session range in real time, drawing the box, midline, and extended high/low levels.
If price sweeps the Asia high/low and then returns back inside the range, the midline often serves as the first target, with the opposite boundary as the secondary target.
If the range is broken and price holds outside, the session lines will provide clear levels for retest and continuation of a break of the range.
These dynamics make the Asia range perfect for spotting liquidity sweeps, containment, and breakout opportunities.
Default timezone is EST (America/New_York), with session hours set to 17:00–03:00 EST. Customise inputs to fit your definition of Asia hours.
The session box appears once the Asia session ends, locking in the range. Extended lines help track how London/New York trades against Asia’s containment. Alerts are included for price touching Asia high/low.
Source code is protected to preserve the framework, but the indicator is fully functional and customisable.
This is my first post here on TradingView, and I’m excited to share tools I’ve built and use myself. My hope is to continue publishing frameworks and insights in the future, so follow along if you’d like to see how these ideas evolve.
I hope these tools help you trade with more clarity and discipline — and I welcome your feedback as I continue to refine them.
Mummytrades_FX
Liquidity ThermometerThis is a universal indicator that assesses market liquidity based on five key market parameters: volume, volatility, candlestick range, body size, and price momentum.
The indicator does not use open interest data and is suitable for all markets, including spot, futures, and Forex.
This indicator normalizes each metric historically and creates a composite index between 0 and 1, where higher values correspond to a stable and calm market environment, and lower values indicate periods of increased risk and potential liquidity stress.
LT generates an integral liquidity index in the range based on five normalized components:
-nVol — normalized volume, reflecting trading density and activity.
-nATR — the volatility component (ATR), inverted, as high volatility is typically associated with declining liquidity.
-nRange — the normalized candlestick range, also inverted to assess the structural narrowness of the price movement.
-nBody — the normalized candlestick body size (|close − open|), inverted to assess the balance of supply and demand.
-nMove — the normalized value of the price impulse movement (|Δclose|), reflecting short-term price spikes.
Each metric is linearly normalized over a sliding window (200 bars) using the formula:
norm(x) = (x − min) / (max − min),
where at max = min, the value is fixed at 0.5 to ensure stability.
The ALT index is calculated as a weighted combination:
ALT = 0.35 nVol + 0.20 (1 − nATR) + 0.20 (1 − nRange) + 0.15 (1 − nBody) + 0.10 (1 − nMove)
The result is further smoothed using EMA(3) to reduce micronoise.
Red Zone (MLI < 0.25) — Risk, Thin Liquidity
When the indicator falls into the red zone, it means the market is extremely volatile:
Characteristics:
Low volume — small trades have a strong impact on the price.
High volatility — candlesticks rise or fall sharply.
Wide candlestick range — the market is "breathing heavily," easily breaking price extremes.
Impulsive movements — small market shocks lead to sharp spikes.
Thin liquidity — few orders in the order book, large orders "eat up" the market.
What this means for a trader:
🔥 High risk of spikes and false breakouts.
⚠ Possible series of liquidations on leverage.
❌ It is not recommended to enter long or short positions without a filter or protection.
✅ Can be used for short scalping strategies if you know the entry point, but very carefully.
Green Zone (MLI > 0.75) — High Liquidity, Safe Zone
When the indicator rises into the green zone, it means the market is stable and balanced:
Characteristics:
High volume — the market is deep, orders are executed without a strong impact on the price.
Low volatility — candlesticks are stable, no sharp spikes.
Narrow candlestick range — price moves calmly.
Weak impulse movements — no sharp surges.
Sufficient liquidity — the market can handle large orders.
What this means for a trader:
✅ Safe zone for opening positions.
🔄 Easier to set stop-loss and take-profit orders.
💡 You can trade both up and down, the risk of sharp movements is minimal.
⚡ Under these conditions, there is a lower risk of spikes and accidental liquidations.
It does not predict price movements or guarantee results. It is an analytical tool intended for additional research into market structure.
PP/EMA Crossover Buffer CounterPP/EMA Crossover Buffer Counter Tells pivot price crossing 9 EMA for a Trending Market
Trend Line Methods (TLM)Trend Line Methods (TLM)
Overview
Trend Line Methods (TLM) is a visual study designed to help traders explore trend structure using two complementary, auto-drawn trend channels. The script focuses on how price interacts with rising or falling boundaries over time. It does not generate trade signals or manage risk; its purpose is to support discretionary chart analysis.
Method 1 – Pivot Span Trendline
The Pivot Span Trendline method builds a dynamic channel from major swing points detected by pivot highs and pivot lows.
• The script tracks a configurable number of recent pivot highs and lows.
• From the oldest and most recent stored pivot highs, it draws an upper trend line.
• From the oldest and most recent stored pivot lows, it draws a lower trend line.
• An optional filled area can be drawn between the two lines to highlight the active trend span.
As new pivots form, the lines are recalculated so that the channel evolves with market structure. This method is useful for visualising how price respects a trend corridor defined directly by swing points.
Method 2 – 5-Point Straight Channel
The 5-Point Straight Channel method approximates a straight trend channel using five key points extracted from a fixed lookback window.
Within the selected window:
• The window is divided into five segments of similar length.
• In each segment, the highest high is used as a representative high point.
• In each segment, the lowest low is used as a representative low point.
• A straight regression-style line is fitted through the five high points to form the upper boundary.
• A second straight line is fitted through the five low points to form the lower boundary.
The result is a pair of straight lines that describe the overall directional channel of price over the chosen window. Compared to Method 1, this approach is less focused on the very latest swings and more on the broader slope of the market.
Inputs & Menus
Pivot Span Trendline group (Method 1)
• Enable Pivot Span Trendline – Turns Method 1 on or off.
• High trend line color / Low trend line color – Colors of the upper and lower trend lines.
• Fill color between trend lines – Base color used to shade the area between the two lines. Transparency is controlled internally.
• Trend line thickness – Line width for both high and low trend lines.
• Trend line style – Line style (solid, dashed, or dotted).
• Pivot Left / Pivot Right – Number of bars to the left and right used to confirm pivot highs and lows. Larger values produce fewer but more significant swing points.
• Pivot Count – How many historical pivot points are kept for constructing the trend lines.
• Lookback Length – Number of bars used to keep pivots in range and to extend the trend lines across the chart.
5-Point Straight Channel group (Method 2)
• Enable 5-Point Straight Channel – Turns Method 2 on or off.
• High channel line color / Low channel line color – Colors of the upper and lower channel lines.
• Channel line thickness – Line width for both channel lines.
• Channel line style – Line style (solid, dashed, or dotted).
• Channel Length (bars) – Lookback window used to divide price into five segments and build the straight high/low channel.
Using Both Methods Together
Both methods are designed to visualise the same underlying idea: price tends to move inside rising or falling channels. Method 1 emphasises the most recent swing structure via pivot points, while Method 2 summarises the broader channel over a fixed window.
When the Pivot Span Trendline corridor and the 5-Point Straight Channel boundaries align or intersect, they can highlight zones where multiple ways of drawing trend lines point to similar support or resistance areas. Traders can use these confluence zones as a visual reference when planning their own entries, exits, or risk levels, according to their personal trading plan.
Notes
• This script is meant as an educational and analytical tool for studying trend lines and channels.
• It does not generate trading signals and does not replace independent analysis or risk management.
• The behaviour of both methods is timeframe- and symbol-agnostic; they will adapt to whichever chart you apply them to.
TernTable: Crypto SectorsTernTables:CryptoSecs
This was hung on my Sector ETFs script to see if I could filter some noise from crypto by applying a GICS (Global Industry Classification Standard) style sector model to the crypto markets.
Crypto classification is certainly a little more nuanced so not completely straightforward.
It was designed to filter a researched and organised view of generally recognised cryptocurrency sectors and their confirmed constituent components.
The main purpose was a shot at displaying live crypto market data on my chart with instantaneous visual analysis, using leader laggard colour logic for performance indication, plus bullish bearish colour logic using the header for instant visual sector strength analysis.
This was never going to be an exhaustive tool of course and amazingly only or two of the sector lists wont fit on your laptop screen without zooming but it’s UI versatility both in custom display and custom threshold functionality is very effective. Viewing a coin on your watchlist with its sector overlayed in the chart brings the optional visual alert function into consideration. All basic but all effective and all customisable
Can't ignore the educational value either it’s teaching by osmosis what the sectors do and which coins go where clues to why.
As an after thought - I added a live stock market filter for 20 sector-specific ETFs like SPY, QQQ, XLV, XLF, allowing the comparison of the live performance of traditional financial sectors to live crypto sector data without leaving your chart.
Not certain how often it will need to be updated and any feedback re the legitimacy and accuracy of its components is kindly welcomed it is up to date at date of publishing.
It’s pretty easy to use, here is a list what you're getting with sector classifications with brief descriptions
CMC 20
CoinMarketCap Top 20: the largest cryptos by market cap. Great starting point to see what the overall market is doing
ETFs
All major U.S.-listed Bitcoin & Ethereum ETFs. Lets you compare crypto performance directly with traditional finance
Layer 0
Foundational interoperability protocols (Polkadot, Cosmos, ICP, etc.). These are the “bridges” that allow different blockchains to communicate
Layer 1
Independent base-layer blockchains that run their own consensus and security (Bitcoin, Ethereum, Solana, Cardano, TON, etc.).
Layer 2
Scaling networks built on top of Layer 1s to increase speed and lower fees (Arbitrum, Optimism, Base, Polygon, zk-rollups, etc.)
Layer 3
Application-specific chains or rollups designed for one purpose (gaming chains, DeFi-specific, social, etc.)
Web3
The “ownership internet”: gaming tokens, NFTs, metaverse land, music/streaming platforms, social tokens, and creator-economy projects
DeFi
Decentralised Finance: lending platforms, decentralized exchanges, derivatives, yield aggregators, and insurance protocols
Decentralised Storage
Blockchain-based alternatives to AWS/Google Cloud (Filecoin, Arweave, Storj, etc.)
Oracles
Data providers that feed off-chain information (prices, weather, sports results) into smart contracts
Privacy
Privacy coins and protocols that obfuscate transaction details (Monero, Zcash, Beam, etc.)
Yield & Lending
Protocols focused purely on lending, borrowing, and yield generation
DEX
Pure decentralized exchanges (Uniswap, SushiSwap, Jupiter, GMX, etc.)
DAO
Governance tokens of major decentralized autonomous organizations (Maker, Lido, Aave, ENS, etc.)
Infrastructure / Middleware
The picks-and-shovels layer: node services, RPC providers, indexing, cross-chain bridges, etc
Real World Assets (RWA)
Tokenised traditional assets: treasuries, real estate, private credit, stablecoins backed by real-world collateral
Restaking & Liquid Restaking
EigenLayer ecosystem and liquid-restaking tokens (eigen, ether.fi, Pendle, etc.). Currently the fastest-growing narrative
Traditional Sector ETFs
Classic U.S. sector ETFs (SPY, QQQ, XLF, XLE, XLV, XLY, etc.). Extra layer of analysis by comparing live stock market conditions with livecrypto market conditions
A list of the UI Toggles
* Sector Dropdown
• Select Sector: Choose the sector to display (e.g., CMC 20, Layer 1, DeFi, etc.)
* Custom Tickers
• Enter Tickers: Input custom coin tickers (e.g., BTCUSD, ETHUSD) to track specific assets
* Show % Change Row
• Toggle On/Off: Display the % change row for each sector/coin
* Show Current Price Row
• Toggle On/Off: Display the current price for each sector/coin
* Show Price-Diff Row
• Toggle On/Off: Display the price difference (current price - previous day's price)
* Show Spacer Row
• Toggle On/Off: Add a spacer row between data rows for clarity
* Table Position
• Select Position: Choose the position of the data table on your chart (Top Left, Top Right, etc.)
Visual Options:
* Show Sector Name
• Toggle On/Off: Display the sector name pane label on chart
* Custom Bull/Bear Threshold
• Toggle On/Off: Set a custom threshold for bullish/bearish sector performance
• Threshold (%): Set the percentage threshold (e.g., 50%) for bullish/bearish classification
* Show Live % in Header
• Toggle On/Off: Display the live percentage change in the table header
* Dynamic Decimal Formatting
• Toggle On/Off: Enable dynamic formatting for numbers display.
* Sort by % Change
• Toggle On/Off: Sort sectors by % change in performance
* Enable Alerts
• Toggle On/Off: Enable alerts based on performance thresholds
* Alert Threshold (%)
• Set Threshold: Define the percentage threshold (e.g.,70%) for triggering alerts
* Cooldown (bars)
• Toggle On/Off: Enable cooldown to prevent alerts from triggering too quickly
• Cooldown Duration: Set the cooldown period in bars (e.g., 10 bars)
* % Threshold Mode
• Toggle On/Off: Enable % Threshold Mode to filter sectors based on a percentage change threshold
• Threshold %: Set the percentage for filtering sectors (e.g., only show sectors with > 5% change)
A lot of toggles probably left once favourites are set but this UI interface does allow experimentation with the utility of channelling raw live data through custom designed filters. Just saying !
I need to include this of course
This indicator provides sector-based organisation and real-time performance visualisation for cryptocurrencies. It is not intended to predict price movements or guarantee outcomes. Crypto assets carry significant risk, including loss of capital. Past performance does not guarantee future results. All data and sector classifications are best-effort and may be incomplete, inaccurate, or outdated. Nothing in this script should be interpreted as financial advice. You are solely responsible for your own trading decisions.
That’s it really, I am currently pleased with how this indicator turned out, if you have a crypto trading toolkit put this in it.
Dynamic Elliott Wave By Lucky-CBTIndicator overview
Dynamic Elliott Wave v5 detects and visually labels single-degree Elliott impulse (1–5) and corrective (A–B–C) structures using robust pivot detection and optional Fibonacci validation. It’s designed as a mechanical, configurable helper to identify clear wave structures across timeframes and instruments — useful as a structural guide for analysis and strategy development.
Key features
Mechanical pivot detection (zigzag-style) evaluated on confirmed bars for stability
Automatic detection and persistent drawing of 1–5 impulse and A–B–C corrective structures
Optional Fibonacci-based validation for Wave 2 / Wave 4 retracements with tolerance control
Configurable pivot lookback and minimum move threshold to reduce noise on different timeframes
Visuals: colored lines and labels for impulses (1–5) and corrections (A–B–C)
Lightweight memory use with bounded pivot storage and safe redraw logic
How it works (short)
Detects pivot highs/lows using ta.highestbars / ta.lowestbars over a user-set lookback
Builds candidate 5-pivot sequences and validates alternation, magnitude, and optional Fibonacci relationships
When a valid impulse is found the script stores and draws the 1–5 chain; if a following 3-pivot corrective is found it stores and draws A–B–C
Visuals persist until a new validated structure replaces them so charts remain readable
Inputs and recommended settings
Pivot lookback (bars): controls sensitivity. Lower for faster markets / lower TF (e.g., 3–7), higher for slow markets / higher TF (e.g., 10–30).
Min move size (%): filters tiny swings. Start ~0.5% for volatile symbols, 0.1–0.3% for large-cap equities on daily.
Use Fibonacci checks: on/off. Turn on to enforce common retrace rules; turn off if you prefer looser mechanical counts.
Fibonacci tolerance: widen for noisy markets, tighten for strict validation.
Show lines / Show labels: toggle visuals to reduce clutter.
Practical notes and limitations
Elliott Wave counting remains partly subjective; this script provides a consistent mechanical count, but it will not match every manual analysis. Use as a guide, not a final trading signal.
The script detects single-degree structures only. For nested multi-degree analysis, consider adding recursive detection layers or complementing with manual degree assignment.
Requires sufficient chart history (max_bars_back) to retain older pivots when reviewing long-term structures. Increase max_bars_back if needed.
Test and tune pivot_len and min_move_pct for your instrument and timeframe before relying on counts in live trading.
Change log (high level)
v1.0 — Initial release: mechanical pivot detection, impulse 1–5 and corrective A–B–C detection, persistent visuals, Fibonacci validation.
Future: planned options for ATR-based pivots, multi-degree nesting, manual clear/aging controls, and degree coloring.
Disclaimer
This indicator is provided for educational and analytical purposes only. It does not provide financial, investment, or trading advice. Always combine structural analysis with risk management and validate any strategy on historical data before trading live.
If you want, I can produce: (1) a shorter “one-sentence” blurb for the publish header, (2) example default settings for specific markets (BTC, Nifty, Forex), or (3) release notes formatted for TradingView — tell me which.
Agressive Pricing Gaps (FVG/UPG,VI,OG) @MaxMaserati 3.0Aggressive Pricing Gaps (APGs 3.0)
The indicator specializes in identifying and managing price vacuums left behind when aggressive market participants rapidly move price, leaving areas that often serve as magnets for future mitigation.
1. Unfair Pricing Gaps (UPG) Analysis
The UPG logic is the indicator's main function, detecting a traditional three-candle price imbalance (FVG).
Detection Mechanism: A bullish UPG is identified when the high of candle 3 is below the low of candle 1 (with candle 2 being the expansive candle). A bearish UPG is identified when the low of candle 3 is above the high of candle 1.
Multi-Timeframe Support: UPG detection can be run on a Higher Timeframe (HTF), allowing traders to monitor significant weekly, daily, or H4 imbalances while viewing a lower execution timeframe.
Volume Filter: An optional Volume Filter based on EMA can be applied, restricting the plotting of UPGs only to those associated with volume exceeding the specified filter strength, thereby enhancing signal quality.
Sliced Mitigation: Each UPG is divided into multiple Box Slices (up to 20). This feature allows for detailed tracking of partial filling and precise visual confirmation as price moves through the gap.
2. Negative/Positive Candle Opening Gaps (OP+/-)
This logic focuses on the smaller, often immediate, gaps left between the closing price of one candle and the opening price of the next, representing minor immediate aggression or volatility.
Detection:
Positive Opening (OP+): Occurs when the current bar opens above the previous bar's close. When it happen we expect price to keep closing above it to maintain the bullish pressure.
Negative Opening (OP-): Occurs when the current bar opens below the previous bar's close. When it happen we expect price to keep closing below it to maintain the bearish pressure.
Timeframe Independence: OP Gaps can be displayed on a different timeframe from the UPG, or strictly on the chart's current timeframe.
AVWAP - DatedThis indicator gives you AVWAP from two specific dates of your choice, like Expiry of Futures contract...
GME Cash FloorsPlots three fundamental “floor value” lines for GameStop based on its balance sheet:
Cash/Share (Gross + BTC) – total cash & equivalents per share, optionally including the BTC treasury at current BTCUSD price.
Net Cash/Share – cash (plus optional BTC) minus total debt, per share.
2030 Carry Floor – projected net cash per share in 2030 assuming the cash portion compounds at a user-set rate while the 0% notes are repaid at maturity.
Inputs let you update cash, debt, share count, interest rate, years to 2030, and toggle BTC on/off so the lines stay in sync with the latest 10-Q.
Global M2 Money Supply Growth (GDP-Weighted)📊 Global M2 Money Supply Growth (GDP-Weighted)
This indicator tracks the weighted aggregate M2 money supply growth across the world's four largest economies: United States, China, Eurozone, and Japan. These economies represent approximately 69.3 trillion USD in combined GDP and account for the majority of global liquidity, making this a comprehensive macro indicator for analyzing worldwide monetary conditions.
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🔧 KEY FEATURES:
📈 GDP-Weighted Aggregation
Each economy is weighted proportionally by its nominal GDP using 2025 IMF World Economic Outlook data:
• United States: 44.2% (30.62 trillion USD)
• China: 28.0% (19.40 trillion USD)
• Eurozone: 21.6% (15.0 trillion USD)
• Japan: 6.2% (4.28 trillion USD)
The weights are fully adjustable through the indicator settings, allowing you to update them annually as new IMF forecasts are released (typically April and October).
⏱️ Multiple Time Period Options
Choose between three calculation methods to analyze different timeframes:
• YoY (Year-over-Year): 12-month growth rate for identifying long-term liquidity trends and cycles
• MoM (Month-over-Month): 1-month growth rate for detecting short-term monetary policy shifts
• QoQ (Quarter-over-Quarter): 3-month growth rate for medium-term trend analysis
🔄 Advanced Offset Function
Shift the entire indicator forward by 0-365 days to test lead/lag relationships between global liquidity and asset prices. Research suggests a 56-70 day lag between M2 changes and Bitcoin price movements, but you can experiment with different offsets for various assets (equities, gold, commodities, etc.).
🌍 Individual Country Breakdown
Real-time display of each economy's M2 growth rate with:
• Current percentage change (YoY/MoM/QoQ)
• GDP weight contribution
• Color-coded values (green = monetary expansion, red = contraction)
📊 Smart Overlay Capability
Displays directly on your main price chart with an independent left-side scale, allowing you to visually correlate global liquidity trends with any asset's price action without cluttering the chart.
🔧 Customizable GDP Weights
All GDP values can be adjusted through the indicator settings without editing code, making annual updates simple and accessible for all users.
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📡 DATA SOURCES:
All M2 money supply data is sourced from ECONOMICS (Trading Economics) for consistency and reliability:
• ECONOMICS:USM2 (United States)
• ECONOMICS:CNM2 (China)
• ECONOMICS:EUM2 (Eurozone)
• ECONOMICS:JPM2 (Japan)
All values are normalized to USD using current daily exchange rates (USDCNY, EURUSD, USDJPY) before GDP-weighted aggregation, ensuring accurate cross-country comparisons.
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💡 USE CASES & APPLICATIONS:
🔹 Liquidity Cycle Analysis
Track global monetary expansion/contraction cycles to identify when central banks are coordinating loose or tight monetary policies.
🔹 Market Timing & Risk Assessment
High M2 growth (>10%) historically correlates with risk-on environments and rising asset prices across crypto, equities, and commodities. Negative M2 growth signals monetary tightening and potential market corrections.
🔹 Bitcoin & Crypto Correlation
Compare with Bitcoin price using the offset feature to identify the optimal lag period. Many traders use 60-70 day offsets to predict crypto market movements based on liquidity changes.
🔹 Macro Portfolio Allocation
Use as a regime filter to adjust portfolio exposure: increase risk assets during liquidity expansion, reduce during contraction.
🔹 Central Bank Policy Divergence
Monitor individual country metrics to identify when major central banks are pursuing divergent policies (e.g., Fed tightening while China eases).
🔹 Inflation & Economic Forecasting
Rapid M2 growth often leads inflation by 12-18 months, making this a leading indicator for future inflation trends.
🔹 Recession Early Warning
Negative M2 growth is extremely rare and has preceded major recessions, making this a valuable risk management tool.
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📊 INTERPRETATION GUIDE:
🟢 +10% or Higher
Aggressive monetary expansion, typically during crises (2001, 2008, 2020). The COVID-19 period saw M2 growth reach 20-27%, which preceded significant inflation and asset price surges. Strong bullish signal for risk assets.
🟢 +6% to +10%
Above-average liquidity growth. Central banks are providing stimulus beyond normal levels. Generally favorable for equities, crypto, and commodities.
🟡 +3% to +6%
Normal/healthy growth rate, roughly in line with GDP growth plus 2% inflation targets. Neutral environment with moderate support for risk assets.
🟠 0% to +3%
Slowing liquidity, potential tightening phase beginning. Central banks may be raising rates or reducing balance sheets. Caution warranted for high-beta assets.
🔴 Negative Growth
Monetary contraction - extremely rare. Only occurred during aggressive Fed tightening in 2022-2023. Strong warning signal for risk assets, often precedes recessions or major market corrections.
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🎯 OPTIMAL USAGE:
📅 Recommended Timeframes:
• Daily or Weekly charts for macro analysis
• Monthly charts for very long-term trends
💹 Compatible Asset Classes:
• Cryptocurrencies (especially Bitcoin, Ethereum)
• Equity indices (S&P 500, NASDAQ, global markets)
• Commodities (Gold, Silver, Oil)
• Forex majors (DXY correlation analysis)
⚙️ Suggested Settings:
• Default: YoY calculation with 0 offset for current liquidity conditions
• Bitcoin traders: YoY with 60-70 day offset for predictive analysis
• Short-term traders: MoM with 0 offset for recent policy changes
• Quarterly rebalancers: QoQ with 0 offset for medium-term trends
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📋 VISUAL DISPLAY:
The indicator plots a blue line showing the selected growth metric (YoY/MoM/QoQ), with a dashed reference line at 0% to clearly identify expansion vs. contraction regimes.
A comprehensive table in the top-right corner displays:
• Current global M2 growth rate (large, prominent display)
• Individual country breakdowns with their GDP weights
• Color-coded growth rates (green for positive, red for negative)
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🔄 MAINTENANCE & UPDATES:
GDP weights should be updated annually (ideally in April or October) when the IMF releases new World Economic Outlook forecasts. Simply adjust the four GDP input parameters in the indicator settings - no code editing required.
The relative GDP proportions between the Big 4 economies change very gradually (typically <1-2% per year), so even if you update weights once every 1-2 years, the impact on the indicator's accuracy is minimal.
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💭 TRADING PHILOSOPHY:
This indicator embodies the principle that "liquidity drives markets." By tracking the combined M2 money supply of the world's largest economies, weighted by their economic size, you gain insight into the fundamental liquidity conditions that underpin all asset prices.
Unlike single-country M2 indicators, this GDP-weighted approach captures the true global picture, accounting for the fact that US monetary policy has 2x the impact of Japanese policy due to economic size differences.
Perfect for macro-focused traders, long-term investors, and anyone seeking to understand the "tide that lifts all boats" in financial markets.
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Created for traders and investors who incorporate global liquidity trends into their decision-making process. Best used alongside other technical and fundamental analysis tools for comprehensive market assessment.
⚠️ Disclaimer: M2 money supply is a lagging macroeconomic indicator. Past correlations do not guarantee future results. Always use proper risk management and combine with other analysis methods.
Fear & Greed Oscillator - Risk SentimentThe Fear & Greed Oscillator – Risk Sentiment is a macro-driven sentiment indicator inspired by the popular Fear & Greed Index , but rebuilt from the ground up using real, market-based economic data and statistical normalization.
While the traditional Fear & Greed Index uses components like volatility, volume, and social media trends to estimate sentiment, this version is powered by the Copper/Gold ratio — a historically respected gauge of macroeconomic confidence and risk appetite.
📈 Expansion vs. Contraction Theory
At the heart of this oscillator is a simple macroeconomic insight:
🟢 Copper performs well during periods of economic expansion and risk-on behavior (industrials, construction, manufacturing growth).
🔴 Gold performs well during periods of economic contraction , as a classic risk-off, capital-preserving asset.
By tracking the ratio of Copper to Gold prices over time and converting it into a Z-score , this tool shows when macro sentiment is statistically stretched toward greed or fear — based on how unusually strong one side of the ratio is relative to its historical average.
⚙️ How It Works
The script takes two user-defined tickers (default: Copper and Gold) and calculates their ratio.
It then applies Z-score normalization over a user-defined period (default: 200 bars).
A color gradient line is plotted:
🔴 Z < -2 = Extreme Fear
🟣 -2 to 0 = Mild Fear to Neutral
🔵 0 to 2 = Neutral to Greed
🟢 Z > 2 = Extreme Greed
Visual guides at ±1, ±2, ±3 standard deviations give immediate context.
Includes alert conditions when the Z-score crosses above +2 (Greed) or below -2 (Fear).
🔔 Alerts
“Z-Score has entered the Greed Zone ” when Z > 2
“Z-Score has entered the Fear Zone ” when Z < -2
These are designed to help catch macro sentiment extremes before or during large shifts in market behavior.
⚠️ Disclaimer
This indicator is a macro sentiment tool, not a direct trading signal. While the Copper/Gold ratio often reflects economic risk trends, correlation with risk assets (like Bitcoin or equities) is not guaranteed and may vary by cycle. Always use this indicator in conjunction with other tools and contextual analysis.
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Argentina Price per m² (USD) — (1999–2025)Overview
This indicator plots the historical USD price per square meter of apartments in CABA (Buenos Aires City), Argentina, combining annual data (1999–2011) from Maure Real Estate Market Reports with monthly data (2012–2025) from UCEMA and private market sources.
All values were manually digitized, cleaned, and consolidated to reconstruct the most complete long-term pricing series publicly available.
The script also includes SMA20, SMA50, and SMA100 over the custom dataset to support long-term trend analysis, cycle detection, and macro technical structure.
Data Sources
1999–2011 (Annual): Maure Real Estate Market Reports
2012–2020 (Monthly): UCEMA Real Estate Index
2020–2025 (Monthly): RE/MAX – UCEMA Market Monitor
How to Use This Indicator
This tool allows investors, developers, and analysts to:
Identify multiyear trend shifts
Compare cycles vs. Argentine macro environments
Map long-term support/resistance zones in real estate
Detect early signs of market recovery or contraction
Combine real estate fundamentals with technical analysis
The SMAs help visualize structural trends normally hidden in real estate data.
About This Work
This series was fully reconstructed and coded by engineer Francisco Michelich (@esFranMiche on X), combining market research, statistical consolidation, and technical analysis.
It is intended as an analytical tool, not an official financial index.
If you find this useful, feel free to follow and connect — feedback and collaboration are welcome.
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MAX SMC TV FULL AUTOPILOT v8 (Moteur+Confirmations)Apprentissage et formations seulement. ne pas ce fier au hub c'est indicatif seulement.
regarder le rouler et modifier les settings, il ma été très pratique....
Learning and training only. Do not rely on the hub, it is for reference only.
Watch the video and adjust the settings, it has been very useful for me....






















