Brent Crude Oil Forward CurveBrent Crude Oil Forward Curve
The Brent Crude Oil Forward Curve is a market-structure visualization tool designed to display the relationship between consecutive Brent crude oil futures contracts across a 12-month horizon.
The indicator builds a forward curve from twelve consecutive Brent futures contracts and presents their prices both graphically and in a structured data table. This allows users to observe the shape, slope and evolution of the Brent term structure directly alongside the underlying market.
CURVE STRUCTURE
The indicator automatically identifies the prevailing structure of the displayed curve:
BACKWARDATION — when deferred futures contracts trade below the front contract.
CONTANGO — when deferred futures contracts trade above the front contract.
The curve is displayed dynamically, allowing changes in the term structure to be identified visually rather than by examining individual futures contracts separately.
12-CONTRACT FORWARD CURVE
Twelve consecutive Brent futures contracts are displayed. Each point on the curve includes the contract month, price and spread relative to the front contract.
The accompanying table provides:
• Contract symbol
• Contract month
• Futures price
• Spread versus the front contract
The summary row shows the current curve structure, the front-to-last contract range and the total spread across the displayed 12-month curve.
AUTO ROLL
The indicator includes a calendar-based auto-roll mechanism that automatically advances the displayed 12-contract sequence as the calendar progresses. By default, the sequence begins two calendar months ahead of the current month. The contract sequence is generated dynamically, eliminating the need to manually replace each futures symbol every month. A Manual Front Month Offset is also available for users who wish to inspect an adjacent contract sequence or manually shift the starting point of the curve.
PRICE TIMEFRAME
By default, contract prices follow the chart timeframe. Users may select a different Price Timeframe when they want the forward curve calculations to reference another timeframe independently of the underlying chart.
DISPLAY CONTROLS
The Inputs menu provides independent controls for displaying or hiding the data table, individual contract labels and branding panel. Point spacing, horizontal positioning and label distance can also be adjusted to accommodate different screen sizes and chart layouts.
DESIGN AND METHODOLOGY
This script combines automated Brent contract sequencing, calendar-based contract management, 12-contract term-structure construction, spread calculations relative to the front contract, dynamic curve visualization and synchronized tabular presentation within a single analytical framework.
Rather than analyzing individual futures contracts separately, the script transforms the prices of twelve consecutive Brent futures contracts into a synchronized representation of the term structure. The graphical curve, contract labels, spreads, market-structure classification and contract table are updated together as the futures sequence evolves. The implementation and presentation logic were developed specifically for this script.
INTERPRETATION
The indicator is intended to help users study the term structure of Brent crude oil futures. Changes in the shape and slope of the forward curve can provide useful information about how the futures market is pricing near-term versus deferred delivery.
Forward-curve structure should not be interpreted in isolation as a directional trading signal. It is one component of broader crude-oil market analysis and should be evaluated together with price action, fundamentals, positioning, inventories and other relevant market information. Indicator
Xer0's Dual Engine Ladder AllocatorOverview
This indicator is designed for long-term investors using a "Dual Engine" portfolio strategy on M1 Finance — mixing a broad-market index fund with a leveraged counterpart in the same Pie. Instead of guessing when to buy the dip, this script provides a systematic, step-by-step roadmap for increasing your leveraged allocation as the market falls, and resetting it as the market recovers.
How It Works
The strategy is built on "Sticky All-Time High" logic. It tracks the highest close price and calculates the current drawdown from that peak, then responds with one of three scenarios:
Ladder Down (Risk On): For every defined drop step (e.g. every -5%), the indicator signals a RISK UP event — automatically calculating your new target allocation to the leveraged slice of your Pie. This forces systematic, disciplined buying at lower prices.
Recovery Reset (Risk Off): Once the market recovers by a set percentage from the bottom, the script signals a RESET — returning your allocation to the base level and locking in the gains from the dip-buying phase.
Bull Step: When the market pushes into new high territory, the script tracks each new leg up and keeps your reference point current.
Key Features
Sticky ATH Tracking: Automatically calculates true drawdown from the cycle peak
Customizable Ladder Steps: Define your own drop trigger percentage and leverage increase per step
Max Cap: Hard ceiling on leverage exposure to protect against catastrophic drawdowns
Bar Confirmation: All signals fire on daily close to avoid intraday false triggers
Visual Dashboard: Bottom-right table showing current mode, target leverage, drawdown, and recovery price target
Alert Conditions: Built-in RISK UP and RESET alerts compatible with PulseWire's "Once Per Bar Close" setting
Backtested Performance (Simulated — Read Carefully)
The following results are from a Python backtest covering approximately 30 years (1996–2026), using $923/week in contributions every Friday. The strategy used two M1 Pies: Pie 1 (S&P 500 index fund / 3× S&P 500 ETF, base leverage 35%) and Pie 2 (Nasdaq-100 index fund / 3× Nasdaq-100 ETF, base leverage 25%). Tax assumptions reflect California state + federal rates for a $47K–$100K income bracket. Data prior to 2010 is synthetic, modeled from underlying index returns.
Results are hypothetical and do not represent actual trading. Past performance does not guarantee future results.
Ladder Strategy | VOO Benchmark
Total Contributed $1,395,576 | $1,395,576
Final Value (after-tax) $25,286,879 | $9,025,443
Total Return 1,711.9% | 546.7%
CAGR (on contributions) 10.1% | 6.4%
Max Drawdown -91.8% | -50.5%
Taxes Paid (CA) $5,358,907 | N/A (buy & hold)
Cash After Full Liquidation $23,500,189 | $7,171,385
The ladder strategy produced approximately 227.7% more after-tax cash than buy-and-hold VOO after full liquidation. However, the strategy experienced a maximum drawdown of -91.8% — meaning at its worst point, the portfolio lost nearly all of its value on paper. This level of volatility is not suitable for most investors and requires strong conviction and a long time horizon to hold through.
How to Use
Add this indicator to a Daily (1D) chart of your chosen index. Configure the inputs to match your risk tolerance — Base Leverage %, Drop Step %, and Max Cap %. Enter your M1 Pie name in the input field so alerts reference it by name. Set alerts using "Once Per Bar Close" and adjust your Pie allocation whenever a signal fires.
Disclaimer
This script is for informational and educational purposes only. It does not constitute financial advice. Backtested results are simulated and hypothetical — they do not account for all real-world frictions and should not be interpreted as a guarantee of future performance. Trading leveraged instruments involves significant risk, including the potential loss of your entire investment, and is not suitable for all investors. Indicator
Price per m2 Argentina CABA USD/m2 - SMAs (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) with monthly data (2012–2025) to reconstruct a long-term residential real estate pricing series.
All values were manually digitized, cleaned, and consolidated from public reports and market datasets to create a continuous analytical framework for historical valuation analysis.
The script also includes SMA20, SMA50, and SMA100 calculated over the custom dataset to support long-term trend analysis, cycle identification, and macro structural evaluation.
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
All datasets referenced are derived from publicly available reports and institutional publications.
How to Use This Indicator
*USE ON THE 1 MONTH TIMEFRAME*
This tool enables investors, developers, and market analysts to:
• Identify multi-year trend shifts in residential real estate valuations
• Compare pricing cycles against Argentine macroeconomic environments
• Map long-term support and resistance zones
• Detect early signs of market recovery or contraction
• Integrate real estate fundamentals with technical analysis frameworks
The moving averages help visualize structural trends that are typically less observable in traditional property datasets.
About This Work
This historical series was reconstructed and coded by Engineer Francisco Michelich through the consolidation of market research, statistical normalization, and technical analysis methodologies.
This script does not represent an official financial index and is not affiliated with the original data institutions. It is intended solely as an educational and analytical tool for visualizing long-term trends in the Buenos Aires, Argentina residential real estate market. Indicator
RLPS -Simplified Long-Term Support/Resistance Levels (Shelters)// Introduction //
RLPS (Simplified Long-Term Shelters) is a streamlined indicator designed for traders who have already identified the preponderant long-term phase of their assets and want to efficiently track multiple assets using pre-calculated Fibonacci levels.
IMPORTANT: Before using this indicator, you need to have determined the date-price coordinates of the preponderant phase (i0→i1 pivots) for your asset(s). These coordinates can be obtained using our master RLP indicator (Long-Term Shelters), which automatically helps to calculates them, or through your own research and analysis.
// Theoretical Foundation //
Many traditional institutional investors use the latest higher-degree market phase that stands out from others (longest duration and greatest price change on daily timeframe) to base a Fibonacci retracement on whose levels they open long-term positions. These positions can remain open to be activated in the future even years in advance. The phase is considered valid until a new, more preponderant phase develops over time.
RLPS allows you to manually input these pre-identified phase coordinates and draw Fibonacci levels that serve as Long-Term Shelter Levels—marking future trading points (entries, exits, risk management) that remain valid for months and even years.
// Key Features //
• Supports up to 5 different assets with permanently stored phase coordinates
• Dropdown selector to quickly switch between configured assets
• No ZigZag calculation required—user provides pre-calculated coordinates
• Timeframe-agnostic: levels remain constant across all timeframes
• Works with any price source (exchange) regardless of historical data availability
• Asset Information table with visual validation (✅ Match / ❌ No Match)
• Long-Term Historical Prices (LTHP): add up to 5 psychological price levels per asset (historical highs/lows, annual opening prices, etc.)
• Customizable Fibonacci levels, colors, styles, and label formatting
• Logarithmic scale support for volatile assets like cryptocurrencies
// Quick Start Guide //
STEP 1: In PulseWire, select "Bitcoin / U.S. dollar" from Bitstamp Exchange (BITSTAMP:BTCUSD).
STEP 2: Configure the chart to Daily (D) timeframe.
STEP 3: Load the RLPS indicator. Initially no drawing appears (fields are empty by default).
STEP 4: Open indicator settings and activate "Practice Asset Data Table" in the GENERAL section.
STEP 5: A table appears with sample data for 5 assets. Locate "Bitcoin on Bitstamp":
- i0 Date: 2020-03-13 18:00 | i0 Price: 3850.0
- i1 Date: 2021-11-10 18:00 | i1 Price: 69000.0
STEP 6: Copy this data to "ASSET 1 - IDENTIFICATION AND DATE-PRICE PIVOT COORDINATES".
STEP 7: Verify "Asset 1" is selected in the dropdown and close settings.
STEP 8: You should now see the yellow diagonal phase line, horizontal Fibonacci levels, and the validation table showing "✅ Match".
STEP 9: Navigate the chart to verify how Fibonacci levels align with historical support/resistance zones.
// Important Notes //
• The sample data in the Practice Table was validated in 02/2026 and serves as reference only.
• It is your responsibility to validate or update the preponderant phase of your assets over time.
• Use our master RLP indicator to automatically find and calculate preponderant phases, then transfer the coordinates here for permanent tracking.
• You can deactivate the Practice Table once you've copied the data you need.
// Shelter Indicators Ecosystem //
RLPS is part of a comprehensive ecosystem of indicators for price action analysis based on shelter levels:
RLPS (Simplified Long-Term Shelters): This indicator. Simplified version of RLP that allows manual input of previously identified preponderant phase coordinates. Ideal for permanent operations with multiple assets across different timeframes.
RLP (Long-Term Shelters): Automatically identifies the preponderant Zigzag phase that institutional investors use as a reference to project Fibonacci levels. These levels determine order placement over the following months and years.
RMP (Mid-Term Shelters): Provides the psychological shelter and resistance levels that institutional investors establish at the beginning of each year. These form the main framework that professionals use to plan entry and exit operations throughout the year.
RS (Weekly Shelters): Tactical structural analysis indicator designed to precisely track price action and manage positions during current weeks.
RID (Intra-Day Shelters): For intraday operations based on levels calculated from the daily opening price. Designed for 1H timeframes or lower, including scalping strategies.
By combining RLPS, RLP, RMP, RS, and RID, you obtain a multi-timeframe framework that provides certainty and clarity to apply strategies grounded in price action, across any time horizon: from scalping to long-term investments.
// Final Notes //
We sincerely regret to inform you that we have not included the Spanish translation previously provided in our indicators, due to our significant concern regarding the ambiguous rules on publication bans related to indicators.
Sharing motivates. Happy hunting in this great jungle!
Indicator
Mid-Term Refuges (RMP)════════════
ENGLISH VERSION (SPANISH TEXT AT THE END)
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MID-TERM REFUGES (RMP) V1.0
The Mid-Term Refuges (RMP) indicator plots psychological support and resistance levels based on a methodology used by institutional investors since auction floor days. RMP automatically calculates 31 key levels (refuges) from the asset's annual opening price.
METHODOLOGY
• RESISTANCES (R1-R15): Projected at +10% intervals from annual opening, identifying selling pressure zones
• SUPPORTS (S1-S15): Calculated at -10% intervals, marking buyer interest areas
• ANNUAL OPENING PRICE (PA): Central reference level
The 10% intervals represent significant psychological thresholds that capture market indecision, consolidation, or reversal moments. When critical mass of participants uses these same levels, they become self-fulfilling prophecies.
VALIDATION
Test RMP effectiveness on your assets:
1. Use PulseWire's Bar Replay
2. Review periods with +/-10% movements
3. Count price reactions at refuge levels
4. Higher frequency = higher institutional usage probability
ECOSYSTEM INTEGRATION
RMP integrates with our other indicators:
• RLP/RLPS (Long-Term Refuges): Structural analysis
• RS (Weekly Refuges): Short-term tactical analysis
FEATURES
• 31 configurable levels with individual switches
• Professional visualization with formatted prices
• Complete customization (colors, widths, styles)
• Native integration with PulseWire's price scale
• Bar Replay compatible
PHILOSOPHY
RMP doesn't predict the future—it observes price action at objective levels. No oscillators, no curve-fitting. Pure technical analysis based on auction floor techniques proven over decades.
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VERSION EN ESPANIOL
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(La version completa con entrada de datos y textos de ayuda en espaniol (Roman Paladino) estara proximamente disponible en mi repositorio GH: aj-poolom-maasewal)
REFUGIOS DE MEDIANO PLAZO (RMP) V1.0
El indicador Refugios de Mediano Plazo (RMP) traza niveles psicologicos de soporte y resistencia basados en una metodologia utilizada por inversores institucionales desde los tiempos de los pisos de subastas. RMP calcula automaticamente 31 niveles clave (refugios) a partir del precio de apertura anual del activo.
METODOLOGIA
• RESISTENCIAS (R1-R15): Proyectadas a intervalos de +10% desde la apertura anual, identificando zonas de presion vendedora
• SOPORTES (S1-S15): Calculados a intervalos de -10%, marcando areas de interes comprador
• PRECIO DE APERTURA ANUAL (PA): Nivel de referencia central
Los intervalos del 10% representan umbrales psicologicos significativos que capturan momentos de indecision, consolidacion o reversion del mercado. Cuando una masa critica de participantes utiliza estos mismos niveles, se convierten en profecias autocumplidas.
VALIDACION
Pruebe la efectividad de RMP en sus activos:
1. Use el Reproductor de Barras de PulseWire
2. Revise periodos con movimientos de +/-10%
3. Cuente las reacciones del precio en los niveles refugio
4. Mayor frecuencia = mayor probabilidad de uso institucional
INTEGRACION CON NUESTRO ECOSISTEMA DE INDICADORES DE REFUGIOS CON ACCION DEL PRECIO
(Disponibles para descarga proximamente)
Este indicador RMP se complementa fuertemente con el uso de los siguientes indicadores nuestros:
• RLP (Refugios de Largo Plazo): Busqueda y definicion automatizada de fases preponderantes.
• RLPS (Refugios de Largo Plazo Simplificado): Analisis en base a fase preponderante ya conocida.
• RS (Refugios Semanales): Analisis tactico de fases de corto plazo.
CARACTERISTICAS
• 31 niveles configurables con switches individuales
• Visualizacion profesional con precios formateados
• Personalizacion completa (colores, grosores, estilos)
• Integracion nativa con la escala de precios de PulseWire
• Compatible con Reproductor de Barras
FILOSOFIA
RMP no predice el futuro. Observa la accion del precio en niveles objetivos. Sin osciladores, sin sobreajustes. Analisis tecnico puro basado en tecnicas de piso de subastas probadas durante decadas.
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Desarrollado por: aj p'oolom masewal
Codificado con la colaboracion de: Claude Sonnet 4.5 de Anthropic
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Indicator
Indicator
Pivot Highs&lows: Short/Medium/Long-term + Spikeyness FilterShows Pivot Highs & Lows defined or 'Graded' on a fractal basis: Short-term, medium-term and long-term. Also applies 'Spikeyness' condition by default to filter-out weak/rounded pivots
ES1! 4hr chart (CME) shown above, with lookback = 15; clearly identifying the major highs & lows on the basis of how they are fractally 'nested' within lesser Pivots.
-- in the above chart Short term pivot highs (STH) are simply represented by green 'ʌ', and short-term pivot lows (STL) are simply represented by orange 'v'.
//Basics: (as applying to pivot highs, the following is reversed for pivot lows)
-Short term highs (STH) are simple pivot highs, albeit refined from standard with the 'spikeyness' filter.
-Medium-term highs (MTH) are defined as having a lower STH on either side of them.
-Long-term highs (LTH) are defined as having a lower MTH on either side of them.
//Purpose:
-Education: Quick and easy visualization of the strength or importance of a pivot high or low; a way of grading them based on their larger context.
-Backtesting: use in combination with other trading methods when backtesting to see the relative significance and price sensitivity of LTHs/LTLs compared to lower grade highs and lows.
//Settings:
-Choose Pivot lookback/lookforward bars: One setting, the basis from which all further pivot calculations are done.
-Toggle on/off 'Spikeyness' condition to filter-out weak/rounded/unimpressive pivot highs or lows (default is ON).
-Toggle on/off each of STH, MTH, LTH, STL, MTL, LTL; and choose label text-styles/colors/sizes independently.
-Set text Vertically, horizonally, or simply use 'ʌ' or 'v' symbols if you want to declutter your chart.
//Usage notes:
-Pivots take time to print (lookback bars must have elapsed before confirmation). Fractally nested pivots as here (i.e. a LTH), take even longer to print/confirm, so please be patient.
-Works across timeframes & Assets. Different timeframes may require slightly tweaked lookback/forward settings for optimal use; default is 15 bars.
Example usage with just symbolic labels short-term, med-term, long-term with 1x, 2x and 3x ʌ/v respectively:
Indicator
vx_termsUSAGE
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This script helps train your intuition for changes in the VX term structure. I recommend using it on the VIX chart, so you can compare changes in the terms to changes in VIX. It's also nice for calendar spread traders who want to get a feel for the same changes.
1. Select a day, month, and year using the inputs
2. Observe the data table.
3. Open the input again and increment or decrement the day (and month, year as necessary).
4. Click "Ok".
5. Click to deselect the indicator, which allows the chart to load new data.
6. The data table will be reloaded with the next/previous day's data.
The data table has the following columns:
- contract: the VX contracts, in sequence. refer to the CBOE for month codes (F for January, etc.)
- close: the closing price of the contract.
- ma:mb: the spread (difference) between this row and the next row.
- ma:mb chg: the spread's change from prior close.
For example, given the following values for the first two columns:
VXQ2021, 16.5, -3.1, -0.2
VXU2021, 19.6, ..., ...
The front month (Q = august) closed at 16.5, $3.1 below the s\September contract. The negative spread enlarged by $0.20 from $2.90 on the previous trading day.
BUGS, ODDITIES, AND LIMITATIONS:
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- The first column will be greyed out after expiration day, which is the 3rd Tuesday of that month. Unfortunately, I can't load the next month's contract due to some limitations with TV.
- The active date is highlighted with a yellow background. When a non-trading date is selected, the highlight will disappear. However, the data table will sometimes fill with the nearest trading date, prematurely. No worries, just know that the data is probably for the previous Friday.
- The script is clunky and slow, but this is the best I can do with TV. Hopefully they add more continuous contracts or allow true dynamic symbol loading.
SPECIAL THANKS:
---------------------
Thanks to HeWhoMustNotBeNamed for helping me get through some messiness. Very helpful guy.
www.pulsewire.com Indicator
Indicator
Bitcoin 2-Year MA Multiplier by GodtrixHi guys, I found this tool very useful and accurate, but can't find it on Trading View, so I made one for myself and everyone here ;)
Alert is available too.
Indicator Overview
The 2-Year MA Multiplier is intended to be used as a long term investment tool.
It highlights periods where buying or selling Bitcoin during those times would have produced outsized returns.
To do this, it uses a moving average (MA) line, the 2yr MA, and also a multiplication of that moving average line, 2yr MA x5.
Note: the x5 multiplication is of the price values of the 2yr moving average, not of its time period.
Buying Bitcoin when price drops below the 2yr MA (green line) has historically generated outsized returns. Selling Bitcoin when price goes above the 2yr MA x 5 (red line) has been historically effective for taking profit.
Why This Happens
As Bitcoin is adopted, it moves through market cycles. These are created by periods where market participants are over-excited causing the price to over-extend, and periods where they are overly pessimistic where the price over-contracts. Identifying and understanding these periods can be beneficial to the long term investor.
This tool is a simple and effective way to highlight those periods.
Credit to & Created By
Philip Swift
Date Created
July 2017
BITSTAMP:BTCUSD Indicator
Strategy
Strategy
Long RSIThe RSI is a technical indicator generally used with the general setting being 14 days, and often shorter.
The accepted view is that a level of 70 indicates overbought conditions, and 30 indicates oversold conditions.
A short RSI setting will give signals quite often, and they might sometimes contradict each other.
As a individual investor, perhaps with a background in fundamental analysis, the RSI might be overlooked for other fundamental metrics.
But the idea here is that longer RSI settings can be used for investing.
The problem that arises is how to know when the indicator has reached a level that is either overbought or oversold.
This script solves that by using a specific look back period (selectable, but the standard is 1 year), and plotting the highest/lowest value that the RSI has had for that time period.
The idea is that a buy signal occurs when the indicator is at a 'historic' low, and a sell signal occurs when it at its 'historic' high.
Since you generally want to buy when the indicator is at its low, and has stopped decreasing, the script comes with a function that shows you when yesterdays value reached a historic low, but todays value is higher than yesterday.
This is shown by a color change of the background to green. The same is true, but opposite, for sell signals and then the background turns red.
THIS IS NOT TRADING ADVICE, AND YOU SHOULD ALWAYS DO YOUR OWN RESEARCH
GOOD LUCK AND HAPPY TRADING Indicator
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