Educational
1m EMA Background ColorEntry Color background indicator where when the 5 ema 1 min timeframe is above the 21 ema 1 min timeframe background is green and when 5 is below the 21 it is red. this can be used for long or short trading
New York Open MarkerNEW YORK OPEN MARKER
This indicator highlights two key time points: the New York Open at 9:30 AM and the 10:00 AM NY time.
For many traders, the NY Open is a crucial session. Manually marking these candles every day can be repetitive and time-consuming — this tool automates that process.
When enabled, it will:
- Mark 9:30 AM NY Time with a Blue marker.
- Mark 10:00 AM NY Time with a Red marker.
You can easily toggle the indicator on or off, customize the labels, or even hide them entirely. The marker colors are also fully adjustable to match your chart style.
This tool is especially handy during backtesting, helping you quickly identify these critical candles without scanning the chart manually.
ZMVZMV-STRATEGY
Z – Zero-Based Thinking
At the core of the ZMV-STRATEGY lies zero-based thinking: the practice of assessing actions, projects, or goals as if starting from scratch. This principle encourages:
Eliminating outdated assumptions
Prioritizing current relevance over historical momentum
Making decisions based on present and future potential, not sunk costs
M – Momentum Mapping
Momentum is essential for sustained progress. The "M" emphasizes:
Identifying key areas where traction exists
Mapping energy flows within a team, project, or market
Leveraging small wins to catalyze exponential growth
V – Value Alignment
Finally, the “V” represents value alignment, which ensures that:
Every move aligns with core values and purpose
Stakeholders are engaged through shared vision
Ethical, meaningful impact is prioritized alongside metrics
Beta -> The New SystemBeta → The New System 📊
Calculate and visualize your asset’s sensitivity to a benchmark over a rolling lookback period.
What is Beta? 🤔
Beta measures how much your asset moves in relation to a chosen benchmark. A Beta of 1 means it moves in perfect sync; above 1 means it’s more volatile (amplified moves), and below 1 means it’s less volatile (dampened moves). By tracking Beta you see if your asset is a risky rocket or a stable ship compared to the market. 🚀⚓️
Indicator Inputs ⚙️
Lookback Period ⏳
Number of bars (e.g. days) over which to compute rolling averages, covariance, and variance.
Benchmark Symbol 🏷️
The ticker of the market or index you want to compare against (e.g. BTCUSD, ETHUSD, an index).
How It Works 🧮
Fetch prices for both your asset and the benchmark at each bar.
Compute returns by calculating the percentage change from bar to bar.
Smooth returns with a simple moving average over the lookback period to get mean asset and benchmark returns.
Calculate covariance between asset and benchmark returns to see how they move together.
Calculate variance of the benchmark returns to measure its own volatility.
Divide covariance by variance (with a check to avoid division by zero)—that ratio is your Beta.
Plot & Interpretation 🎨
Line Color
Always blue for Beta, emphasizing volatility comparison.
Reference Line
A dashed gray line at Beta = 1 marks “market-level” sensitivity.
Reading Beta
β > 1 🟥
Asset tends to exaggerate benchmark moves—higher upside potential but larger downside risk.
β = 1 🟩
Asset moves in lockstep with your benchmark.
β < 1 🟦
Asset smooths out benchmark swings—less risk but also muted returns.
Pro Tips 💡
Combine Alpha + Beta: high Beta with positive Alpha can be great in up-markets but painful in drawdowns.
Monitor Beta shifts: a sudden jump could signal a regime change or new correlation dynamics.
Test different benchmarks: small-cap altcoins may track a broader crypto index differently than they track Bitcoin.
By keeping an eye on Beta in real time, you’ll understand not just how much you’re making, but how much market risk you’re taking on every trade.
Alpha -> The New SystemAlpha → The New System 📈
Calculate and visualize your asset’s Alpha relative to a chosen benchmark over a rolling lookback period.
What is Alpha? 🤔
Alpha measures the excess return of an asset compared to what would be predicted by its sensitivity (beta) to a benchmark. A positive Alpha means your asset is outperforming the benchmark after accounting for market moves; a negative Alpha means it’s underperforming.
Indicator Inputs ⚙️
Lookback Period ⏳
Number of bars (e.g. days) over which to compute rolling averages, covariance, and variance.
Benchmark Symbol 🏷️
The ticker of the market or index you want to compare against (default: BTCUSD).
How It Works 🧮
Fetch Benchmark Prices
Retrieve the close prices of your chosen benchmark on the same timeframe.
Compute Periodic Returns
Calculate the percent change each bar for both your asset and the benchmark.
Rolling Averages
Smooth those returns over the lookback period to get mean asset return and mean benchmark return.
Covariance & Variance
Covariance between asset and benchmark returns shows how they move together.
Variance of benchmark returns measures its own volatility.
Beta Calculation
Divide covariance by benchmark variance (with a check to avoid divide-by-zero). Beta indicates how sensitive your asset is to benchmark moves.
Alpha Calculation
Subtract (Beta × mean benchmark return) from mean asset return. The result is your asset’s average outperformance (or underperformance) per bar.
Plot & Interpretation 🎨
Line Color
🟢 Green when Alpha > 0 (asset is outperforming)
🔴 Red when Alpha < 0 (asset is underperforming)
Zero Line
A dashed gray line marks Alpha = 0 as the breakeven point.
Pro Tips 💡
A consistently positive Alpha suggests your strategy or selected asset adds value beyond market movements.
A negative Alpha may signal underperformance—time to reconsider allocation or strategy.
Use different benchmarks (e.g., ETH, total market cap, sector indices) to gauge performance in various market contexts.
Combine Alpha with Beta: a high Beta + positive Alpha means strong upside in bull markets, but watch out in downturns.
By tracking Alpha in real time, you’ll know at a glance whether your asset truly shines on its own or is merely riding the broader market wave. 🎯
Support & Resistance ZonesAdvanced Support & Resistance Detection Algorithm
This indicator identifies meaningful price levels by analyzing market structure using a proprietary statistical approach. Unlike traditional methods that rely on simple swing highs/lows or moving averages, this system dynamically detects zones where price has shown consistent interaction, revealing true areas of supply and demand.
Core Methodology
Price Data Aggregation
Collects highs and lows over a configurable lookback period.
Normalizes price data to account for volatility, ensuring levels remain relevant across different market conditions.
Statistical Significance Filtering
Rejection of random noise: Eliminates insignificant price fluctuations using adaptive thresholds.
Volume-weighted analysis (implied): Stronger reactions at certain price levels are given higher priority, even if volume data is unavailable.
Dynamic Level Extraction
Density-based S/R Zones: Instead of fixed swing points, the algorithm identifies zones where price has repeatedly consolidated.
Time decay adjustment: Recent price action has more influence, ensuring levels adapt to evolving market structure.
Strength Quantification
Each level is assigned a confidence score based on:
Touch frequency: How often price revisited the zone.
Reaction intensity: The magnitude of bounces/rejections.
Time relevance: Whether the level remains active or has been broken decisively.
Adaptive Level Merging & Pruning
Proximity-based merging: If two levels are too close (within a volatility-adjusted threshold), they combine into one stronger zone.
Decay mechanism: Old, untested levels fade away if price no longer respects them.
Why This Approach Works Better Than Traditional Methods
✅ No subjective drawing required – Levels are generated mathematically, removing human bias.
✅ Self-adjusting sensitivity – Works equally well on slow and fast-moving markets.
✅ Focuses on statistically meaningful zones – Avoids false signals from random noise.
✅ Non-repainting & real-time – Levels only update when new data confirms their validity.
How Traders Can Use These Levels
Support/Resistance Trading: Fade bounces off strong levels or trade breakouts with confirmation.
Confluence with Other Indicators: Combine with RSI, MACD, or volume profiles for higher-probability entries.
Stop Placement: Place stops just beyond key levels to avoid premature exits.
Technical Notes (For Advanced Users)
The algorithm avoids overfitting by dynamically adjusting zones sensitivity based on market conditions.
Unlike fixed pivot points, these levels adapt to trends, making them useful in both ranging and trending markets.
The strength percentage helps filter out weak levels—only trade those with a high score for better accuracy.
Note: Script takes some time to load.
📈 abusuhil bullish candles)"Abusuhil Bullish Candlestick Patterns" is a professional script that identifies key bullish reversal candlestick patterns and highlights them clearly on the chart.
The script includes the following bullish patterns:
Hammer
Bullish Engulfing
Morning Star
Piercing Line
Three White Soldiers
Three Inside Up
🔎 It also includes optional filtering conditions to improve the quality of signals, including:
Stochastic confirmation
Volume filter
Trend direction filter using the EMA
📢 Each pattern can be enabled or disabled individually, and alerts can be customized for each pattern separately.
This tool is ideal for traders looking to spot bullish price reversals with added confirmation logic.
RKB Rahul Slow Fast CrossoverThis is a custom indicator developed to complement the trading approach taught in our educational program, Bansal ka Bhrahmastra. This tool visually represents a unique price crossover strategy based on two distinct sets of moving averages—classified as "Fast" (Green) and "Slow" (Red). When certain conditions between these moving averages are met, the indicator highlights potential trend signals on the chart.
Core Features:
Dual-group Moving Average Crossovers: Detects dynamic interactions between fast and slow MA groups.
Signal Highlights: Marks potential bullish or bearish moments based on the strategy logic.
Customization: Adjustable parameters for both fast and slow MA settings.
Purpose:
This indicator is designed to assist users who are familiar with the concepts taught in the Bansal ka Bhrahmastra course. It serves as a visual aid to apply the taught strategy consistently, rather than a standalone signal generator.
Market sessionsMarket sessions on chart. I used some coding from a large code. I wanted to see the market sessions on chart once each session opens. i am going to look at adding in supply and demand zones. Hopefully this can be a nice add on to any chart.
Institutional Volume Toolkit & Automatic Wick @ MaxMaserati 2.0Institutional Volume Toolkit with Automatic Wick Analyzer @ MaxMaserati 2.0
Overview
This advanced technical indicator combines institutional volume analysis with precise wick detection to reveal hidden market dynamics driving price action. Designed for serious traders who recognize that volume is the fuel behind meaningful price movements, this toolkit identifies key support/resistance zones created by significant institutional activity while simultaneously analyzing candlestick wicks to detect buyer/seller dominance.
Key Features
Volume Defense Levels
Institutional Support/Resistance Detection: Automatically identifies price levels where significant volume occurred during swing points
Dynamic Strength Visualization: Defense level thickness varies based on relative volume importance
Volume % Labels: Clearly shows the strength of each defense level relative to average volume
Adaptive Coloring: Green for buyer defense (support), red for seller defense (resistance)
Wick Analysis System
Smart Wick Detection: Analyzes upper and lower wicks to identify real-time buying and selling pressure
Automatic Dominance Calculation: Determines whether buyers or sellers are dominant at key price points
Multi-Line Analysis: Displays 3-line sets at critical wick areas for precise entry/exit signals
Volume-Enhanced Signals: Combines wick analysis with volume comparison for stronger signals
Trading Applications
Support/Resistance Trading: Identify high-probability bounce or reversal zones created by institutional volume
Break & Retest Strategies: Trade with confidence when price retests broken volume levels
Divergence Detection: Spot divergences between price action and institutional commitment
Swing Trading Setup: Perfect for identifying optimal swing trade entries with favorable risk/reward
Trend Confirmation: Validate trend strength by assessing institutional participation
Setup Guidelines
Volume Defense Levels: Customize volume lookback and threshold to match your timeframe
Wick Analysis: Set filters (wick-to-body ratio, volume percentage, dominance) to eliminate noise
Visual Settings: Adjust colors and label sizes to match your chart preferences
Combine Timeframes: Use on higher timeframes for strategic levels, lower timeframes for entries
This indicator combines sophisticated volume analysis with candlestick psychology, providing a complete toolkit for identifying institutional activity where smart money is actively defending price levels. By revealing the hidden forces driving market movements, it offers a significant edge for traders seeking to align their positions with institutional flow.
Bloomberg Financial Conditions Index (Proxy)The Bloomberg Financial Conditions Index (BFCI): A Proxy Implementation
Financial conditions indices (FCIs) have become essential tools for economists, policymakers, and market participants seeking to quantify and monitor the overall state of financial markets. Among these measures, the Bloomberg Financial Conditions Index (BFCI) has emerged as a particularly influential metric. Originally developed by Bloomberg L.P., the BFCI provides a comprehensive assessment of stress or ease in financial markets by aggregating various market-based indicators into a single, standardized value (Hatzius et al., 2010).
The original Bloomberg Financial Conditions Index synthesizes approximately 50 different financial market variables, including money market indicators, bond market spreads, equity market valuations, and volatility measures. These variables are normalized using a Z-score methodology, weighted according to their relative importance to overall financial conditions, and then aggregated to produce a composite index (Carlson et al., 2014). The resulting measure is centered around zero, with positive values indicating accommodative financial conditions and negative values representing tighter conditions relative to historical norms.
As Angelopoulou et al. (2014) note, financial conditions indices like the BFCI serve as forward-looking indicators that can signal potential economic developments before they manifest in traditional macroeconomic data. Research by Adrian et al. (2019) demonstrates that deteriorating financial conditions, as measured by indices such as the BFCI, often precede economic downturns by several months, making these indices valuable tools for predicting changes in economic activity.
Proxy Implementation Approach
The implementation presented in this Pine Script indicator represents a proxy of the original Bloomberg Financial Conditions Index, attempting to capture its essential features while acknowledging several significant constraints. Most critically, while the original BFCI incorporates approximately 50 financial variables, this proxy version utilizes only six key market components due to data accessibility limitations within the TradingView platform.
These components include:
Equity market performance (using SPY as a proxy for S&P 500)
Bond market yields (using TLT as a proxy for 20+ year Treasury yields)
Credit spreads (using the ratio between LQD and HYG as a proxy for investment-grade to high-yield spreads)
Market volatility (using VIX directly)
Short-term liquidity conditions (using SHY relative to equity prices as a proxy)
Each component is transformed into a Z-score based on log returns, weighted according to approximated importance (with weights derived from literature on financial conditions indices by Brave and Butters, 2011), and aggregated into a composite measure.
Differences from the Original BFCI
The methodology employed in this proxy differs from the original BFCI in several important ways. First, the variable selection is necessarily limited compared to Bloomberg's comprehensive approach. Second, the proxy relies on ETFs and publicly available indices rather than direct market rates and spreads used in the original. Third, the weighting scheme, while informed by academic literature, is simplified compared to Bloomberg's proprietary methodology, which may employ more sophisticated statistical techniques such as principal component analysis (Kliesen et al., 2012).
These differences mean that while the proxy BFCI captures the general direction and magnitude of financial conditions, it may not perfectly replicate the precision or sensitivity of the original index. As Aramonte et al. (2013) suggest, simplified proxies of financial conditions indices typically capture broad movements in financial conditions but may miss nuanced shifts in specific market segments that more comprehensive indices detect.
Practical Applications and Limitations
Despite these limitations, research by Arregui et al. (2018) indicates that even simplified financial conditions indices constructed from a limited set of variables can provide valuable signals about market stress and future economic activity. The proxy BFCI implemented here still offers significant insight into the relative ease or tightness of financial conditions, particularly during periods of market stress when correlations among financial variables tend to increase (Rey, 2015).
In practical applications, users should interpret this proxy BFCI as a directional indicator rather than an exact replication of Bloomberg's proprietary index. When the index moves substantially into negative territory, it suggests deteriorating financial conditions that may precede economic weakness. Conversely, strongly positive readings indicate unusually accommodative financial conditions that might support economic expansion but potentially also signal excessive risk-taking behavior in markets (López-Salido et al., 2017).
The visual implementation employs a color gradient system that enhances interpretation, with blue representing neutral conditions, green indicating accommodative conditions, and red signaling tightening conditions—a design choice informed by research on optimal data visualization in financial contexts (Few, 2009).
References
Adrian, T., Boyarchenko, N. and Giannone, D. (2019) 'Vulnerable Growth', American Economic Review, 109(4), pp. 1263-1289.
Angelopoulou, E., Balfoussia, H. and Gibson, H. (2014) 'Building a financial conditions index for the euro area and selected euro area countries: what does it tell us about the crisis?', Economic Modelling, 38, pp. 392-403.
Aramonte, S., Rosen, S. and Schindler, J. (2013) 'Assessing and Combining Financial Conditions Indexes', Finance and Economics Discussion Series, Federal Reserve Board, Washington, D.C.
Arregui, N., Elekdag, S., Gelos, G., Lafarguette, R. and Seneviratne, D. (2018) 'Can Countries Manage Their Financial Conditions Amid Globalization?', IMF Working Paper No. 18/15.
Brave, S. and Butters, R. (2011) 'Monitoring financial stability: A financial conditions index approach', Economic Perspectives, Federal Reserve Bank of Chicago, 35(1), pp. 22-43.
Carlson, M., Lewis, K. and Nelson, W. (2014) 'Using policy intervention to identify financial stress', International Journal of Finance & Economics, 19(1), pp. 59-72.
Few, S. (2009) Now You See It: Simple Visualization Techniques for Quantitative Analysis. Analytics Press, Oakland, CA.
Hatzius, J., Hooper, P., Mishkin, F., Schoenholtz, K. and Watson, M. (2010) 'Financial Conditions Indexes: A Fresh Look after the Financial Crisis', NBER Working Paper No. 16150.
Kliesen, K., Owyang, M. and Vermann, E. (2012) 'Disentangling Diverse Measures: A Survey of Financial Stress Indexes', Federal Reserve Bank of St. Louis Review, 94(5), pp. 369-397.
López-Salido, D., Stein, J. and Zakrajšek, E. (2017) 'Credit-Market Sentiment and the Business Cycle', The Quarterly Journal of Economics, 132(3), pp. 1373-1426.
Rey, H. (2015) 'Dilemma not Trilemma: The Global Financial Cycle and Monetary Policy Independence', NBER Working Paper No. 21162.
BTC/ETH Lot Size for Dexin - V1.0
█ Overview - This tool is specifically tailored for Delta Exchange India’s users.
I use this interactive tool before taking a position in the BTC’s futures perpetual market . With only 3 mouse clicks, I see all the necessary information, whether a Long or Short position.
A visual of Liquidation Price Level, Stop Loss Price Level, Entry Price Level, Break-even Price Level, and Take Profit Price Level can be immediately seen.
On the top right corner of the chart, which Leverage is to be used, No. of Lots to be taken, expected Profit amount, Loss amount, Brokerage Fees, Risk to Reward Ratios, and Return on Investment are shown, excluding brokerage travel. To get the correct answer in the table that suits your account and risk-taking appetite, the user needs to enter the account balance and Risk per trade.
It also does live tracking of the position, and alerts can be configured too.
█ How to Use
Load the indicator on an active chart.
In the Trading View, ensure that the Magnets is enabled (on the left panel). This will precisely select the price levels you want to choose from OHLC for a candle.
When you first load the tool on the bottom of the chart, you will see a blue box with text in white color guiding you on what you need to do.
Before the first click, the box shall prompt “On the signal candle, set the entry level, where the position would be executed”.
Once the entry price level is selected, the next prompt in the blue box shall be “Set the stop loss level where the position would be exited”. Thus, you need to click the stop loss price level.
Now that the two clicks of Entry and Stop Loss are already done, the last remaining is for the take profit. The last prompt shall be “Set the profit level where the position would be exited”. Therefore, you need to select your take-profit level
Finally, when all three points are selected, the tool shall draw trade zones.
The tool automatically determines whether it is a Long Position or Short Position from the Stop loss and take-profit price levels concerning the entry price level
If the take profit level is above the entry price, the stop must be below, and vice versa; otherwise, an error occurs.
You can change levels by dragging the handles that appear when you select the indicator, or by entering new values in the settings.
Once the position tool is on a chart, it will appear at the same levels on all symbols you use.
If you select the position tool on your chart and delete it, this will also delete the indicator from the chart. You will need to re-add it if you want to draw another position tool. You can add multiple instances of the indicator if you need a position tool on more than one of your charts.
█ Features
Display
The tool displays the following information as graphical visuals
The Liquidation to Stop Loss, Stop Loss to Entry, Entry to Break-even, and Entry to Take Profit zones shall be initiated from the entry candle point.
If you want to be from the candle that crossed the level at a different time from the entry candle, you may go to the settings and adjust the time accordingly. Please note that the time interval is 15 minutes, so at times you may not be able to see the graphical display; however, once the 15-minute time interval is over, you will see the graphical display on the chart.
The tool displays the following information in a tabulated manner
The first row indicates the Leverage that is best suited. The leverage selection by default is greater than or equal to the risk distance.
The second row indicates the number of lots that is computed in relation to the account balance, Risk appetite, Entry price, and Stop Loss price.
The third row indicates estimated profit considering taker's fees and is computed in relation to the number of Lots, Entry price, and Take-Profit price.
The fourth row indicates estimated loss considering taker's fees and is computed in relation to the number of Lots, Entry price, and Stop Loss price.
The fifth row indicates the actual Risk to Reward Ratio, ignoring the travel that pertains to fees.
The sixth row indicates actual Return on Investment, ignoring the travel that pertains to fees.
The intent is to allow the user to make an informed decision prior to taking a position by seeing “$/Rs.” or “% of R O I” or “R : R”.
In case the user wants to know beforehand what the expected charges are that need to be borne before taking a position, that too is made available in the seventh and eighth rows. Both sides' charges are made available for ready reference, irrespective of the outcome of the trade, the user knows the consequences beforehand.
█ Settings
'Trade Sizing'
The tool's input menu is divided into various parts. The first part is 'Trade Sizing'. The user needs to key in the exact number that appears in the Delta Exchange India account against 'Account Balance ($)'. The second thing the user needs to do is key in the 'Risk per Trade'. By default,t it is set to 0.25 and has a default stop change of 0.25. Alternatively, the user can key in any number (Whole number or Rational number) within 100 if that suits their risk management criterion.
'Trade Levels'
Allows users to manually set the Entry, Time, Stop Loss, and Take Profit Price Levels.
'Aggressive Mode Selection'
As the Liquidation zone is shown on the chart, if the user feels that the liquidation price level is too far from the stop loss, this option of 'Use Aggressive Leverage?' allows to increase the leverage, thus reducing the investment amount and in return increasing the Return on Investment %.
The second option in this category is 'Compute Lots based on invested Margin?' itself is self-explanatory, and thus the tabulated data shall be populating the data based on the number entered by the user against 'Margin to be invested ($)'. It is for the user to ensure that the estimated outcomes are within their risk management criterion.
'Conversion & Charges'
If the user wants to see the Profit, Loss, and Fees amount in 'Rs.', all that needs to be done is simply enable the 'Show P&L in Rs.?' The conversion shall take place considering 1 USD = 85 Rs. Same as that carried out by Delta Exchange India.
If the user wants to see the Brokerage Fees, all that needs to be done is simply enable the 'Show Brokerage Fees?'. On enabling this, the table shall show Profitable Trade's (PT) Fees and Lost Trade's (LT) Fees irrespective of the outcome of the trade. The intent is to allow the user to make informed decisions to avoid regrets or surprises at the end of the trade.
'Table'
The division of the input section is related to table position, font size and colors for text and background.
█ Alerts
Alerts can be configured by clicking 'More' (the three dots that appear when you place the cursor on the indicator title that appears on the top left corner of the chart). Alternatively, one can configure alerts by right-clicking on either of the two price levels - Stop Loss price level or Take Profit Price level. Upon right clicking, a window shall appear and the topmost line on that window shall display 'Add alert on ……….' The user can thus put alerts on either of the key levels, such as Stop Loss, Take Profit, and Break Even, or on all of them one by one.
RSI - SECUNDARIO - mauricioofsousaSecondary RSI – MGO
Reading the rhythm behind the price action
The Secondary RSI is a specialized oscillator developed as part of the MGO (Matriz Gráficos ON) methodology. It works as a refined strength filter, designed to complement traditional RSI readings by isolating the true internal rhythm of price action and reducing the influence of market noise.
While the standard RSI measures price momentum, the Secondary RSI focuses on identifying breaks in oscillatory balance—the moments when the market shifts from accumulation to distribution or from compression to expansion.
🎯 What the Secondary RSI highlights:
Internal imbalances in energy between buyers and sellers
Micro-divergences not visible on standard RSI
Areas of price fatigue or overextension that often precede reversals
Confirmation zones for MGO oscillatory events (RPA, RPB, RBA, RBB)
📊 Recommended use:
Combine with the Primary RSI for dual-layer validation
Use as a noise-reduction tool before entering trends
Ideal in medium timeframes (12H / 4H) where oscillatory patterns form clearly
🧠 How it works:
The Secondary RSI recalculates the momentum signal using a block-based interpretation (aligned with the MGO structure) instead of simply following raw candle data. It adapts to the periodic nature of price behavior and provides the trader with a more stable and reliable measure of true market strength.
RSI - PRIMARIO -mauricioofsousa
MGO Primary – Matriz Gráficos ON
The Blockchain of Trading applied to price behavior
The MGO Primary is the foundation of Matriz Gráficos ON — an advanced graphical methodology that transforms market movement into a logical, predictable, and objective sequence, inspired by blockchain architecture and periodic oscillatory phenomena.
This indicator replaces emotional candlestick reading with a mathematical interpretation of price blocks, cycles, and frequency. Its mission is to eliminate noise, anticipate reversals, and clearly show where capital is entering or exiting the market.
What MGO Primary detects:
Oscillatory phenomena that reveal the true behavior of orders in the book:
RPA – Breakout of Bullish Pivot
RPB – Breakout of Bearish Pivot
RBA – Sharp Bullish Breakout
RBB – Sharp Bearish Breakout
Rhythmic patterns that repeat in medium timeframes (especially on 12H and 4H)
Wave and block frequency, highlighting critical entry and exit zones
Validation through Primary and Secondary RSI, measuring the real strength behind movements
Who is this indicator for:
Traders seeking statistical clarity and visual logic
Operators who want to escape the subjectivity of candlesticks
Anyone who values technical precision with operational discipline
Recommended use:
Ideal timeframes: 12H (high precision) and 4H (moderate intensity)
Recommended assets: indices (e.g., NASDAQ), liquid stocks, and futures
Combine with: structured risk management and macro context analysis
Real-world performance:
The MGO12H achieved a 92% accuracy rate in 2025 on the NASDAQ, outperforming the average performance of major global quantitative strategies, with a net score of over 6,200 points for the year.
Fidelity Sector Switching ProgramApproximate recreation of the "Fidelity Sector Fund Switching Program" based on Walter Deemer’s published methodology. Source: walterdeemer.com
This script analyzes Fidelity sector funds, calculates relative strength ratings, and ranks them by strength. It selects the top 3 funds for holding. Exit triggers:
Fund drops into the bottom half of all funds.
Fund falls below the S&P 500.
Fund falls below the money market rate (T-Bills).
strength_rating = (( (0.5 * 8) + (0.25 * 16) + (0.25 * 32) ) * 1000) - 1000
Notes :
Funds marked with " * * " are not official switching set but are included for long-term trend observation.
* 90d T-Bill rates are unavailable; TBIL ETF used as proxy.
* Script loads slowly due to required fund data volume.
• Minor output variations may occur if the Wednesday market is closed; script uses the next available close.
Intended Use & Disclaimer:
• Intended for educational and analytical use only. Not financial or investment advice.
• This 'program' may be at risk of Fidelity’s 90-day round-trip violation policy.
MMPD @MaxMaserati 2.0The MMPD @MaxMaserati 2.0 is a powerful TradingView indicator (Pine Script v6) designed to reveal institutional price action when paired with MMM 2.0 and MMPB 2.0 as part of the Max Maserati Method (MMM) System. It analyzes momentum across multiple timeframes, helping you understand whether the market is overbought (premium) or oversold (discount). With vibrant candle colors, a consistency table, momentum dots, and renamed lines for clarity, it provides an intuitive way to read market dynamics.
Key Features
Multi-Timeframe Analysis: Evaluates six user-defined timeframes to ensure signal consistency.
Candle Classifications: Colors candles to reflect momentum and institutional activity (e.g., Strong Bullish, Bearish Reversal).
Consistency Table: Displays candle types and market conditions across timeframes with a summary bias.
Momentum Dots: Visual dots indicate alignment strength across momentum, balance, and trend direction.
Premium/Discount Zones: Highlights overbought (red fill) and oversold (green fill) areas.
Renamed Lines: Clear labels like "Momentum Line," "Balance Line," and "Trend Direction Line" for better usability.
Input Parameters
Timeframe Settings: Six timeframes (htf1 to htf6, default: 45s, 1m, 5m, 15m, 60m, daily) for multi-timeframe analysis.
Display Settings:
Use Closed Candle Data: Default true, ensures reliability by using closed candles.
Show Momentum Line: Default true, displays the momentum indicator.
Show Balance Line: Default true, shows the market’s directional balance.
Show Trend Direction Line: Default false, optional trend slope.
Trend Direction Length: Default 10, range 3-50, adjusts trend slope sensitivity.
Show Premium/Discount Fill: Default true, highlights overbought/oversold zones.
Visual Settings: Customize colors (e.g., Bullish Color, Bearish Color) and candle opacity (default 20, range 0-100).
Threshold Settings:
Percentage Threshold: Default 60%, sets minimum strength for bullish/bearish classifications.
Premium Threshold: Default 65, defines overbought zone.
Discount Threshold: Default 35, defines oversold zone.
Core Components
1. Candle Types
MMPD classifies candles based on price action, syncing with MMM 2.0’s structure and MMPB 2.0’s blocks:
Strong Bullish: Institutional buying, often at MMPB eBreaks.
Bullish Resumption: Buyers continuing after a pause, tied to MMM’s C3/C4.
Bullish Reversal: Buyers flipping bearish moves, great at MMPB discount zones.
Weak Bullish: Mild bullishness, confirm with MMM’s PO4.
Bullish Pullback: Buyers resting, a setup for MMM’s resumption.
Strong Bearish: Heavy selling, often at MMPB premium eBlocks.
Bearish Resumption: Sellers pushing on, aligned with MMM’s bearish PO4.
Bearish Reversal: Sellers dominating, great at MMPB premium zones.
Weak Bearish: Soft selling, check MMM’s MC2.
Bearish Pullback: Sellers pausing, potential MMPB short entries.
Neutral: No clear direction, use MMM’s structure.
Trap: Warning of a fake-out, cross-check with MMM.
HVC Bullish: Explosive up-move, align with MMM’s C4.
HVC Bearish: Sharp drop, confirm with MMPB’s bearish blocks.
2. Candle Colors
Colors enhance readability, tying to MMM and MMPB:
Bright Green: Strong Bullish/Resumption—big buying.
Cyan: Bullish Reversal—buyers flipping bearish moves.
Green: Weak Bullish/standard bullish close.
Light Green: Bullish Pullback—buyers pausing.
Magenta: Strong Bearish/Resumption—big selling.
Bright Red: Bearish Reversal—sellers taking over.
Red: Weak Bearish/standard bearish close.
Light Red: Bearish Pullback—sellers resting.
Teal: HVC Bullish—high-energy surge.
Dark Red: HVC Bearish—sharp drop.
Orange: Trap—potential fake-out.
Gray: Neutral—no clear bias.
3. Market Conditions
MMPD flags pricing levels:
Extreme Premium (>90): Overbought, likely reversal.
Premium (65-90): Pricey, cautious longs.
Neutral (35-65): Balanced market.
Discount (10-35): Bargain, buying opportunity.
Extreme Discount (<10): Deeply undervalued.
4. Consistency Table
A top-right table summarizes:
Timeframes: Your six chosen timeframes.
MMPD Type: Candle type, colored to match.
MMPD Level: Premium/discount/neutral, with red/green backgrounds.
Summary: Bias (Bullish, Bearish, Premium, Discount) and action (Cheap, Expensive, Neutral).
5. Visual Elements
Momentum Line: Tracks momentum, colored per candle type
Balance Line: Green (bullish) or magenta (bearish), shows market direction.
Trend Direction Line: Optional, green up, magenta down.
Momentum Dots: Green (bullish) or magenta (bearish) circles:
3 dots (Normal, at 0/100): Strong alignment of momentum, balance, and trend.
2 dots (Small, at 1/99): Moderate alignment.
1 dot (Tiny, at 2/98): Weak alignment.
Premium/Discount Fills: Red (>65), green (<35).
Candles: Custom candles, colored to reflect momentum.
How to Use It
Setup: Add to TradingView with MMM 2.0 and MMPB 2.0. Set timeframes (e.g., 45s to daily), tweak thresholds, and enable visuals.
Read the Table: Look for alignment (5+ timeframes Bullish/Discount or Bearish/Premium).
Summary guides bias and action
Interpret Candles: Bright Green/Cyan for bullish setups, Magenta/Bright Red for bearish, Orange for traps.
Use Dots: Three green dots signal strong bullish alignment; three magenta dots signal bearish alignment.
Combine with MMM/MMPB: MMM for structure, MMPB for entries—MMPD confirms momentum and pricing.
Why It’s Special
Institutional Insight: Spots big-player moves with MMM and MMPB.
Clear Visuals: Dots and renamed lines make momentum easy to read.
Versatile: Works for scalping or swings, across markets.
Protective: Trap signals and premium/discount zones keep you sharp.
Notes
Lag: Uses closed candles by default—pair with MMM for real-time.
Best in Trends: Shines in moving markets, less clear in chop.
Learning Curve: Takes time to sync with MMM and MMPB.
Customize: Adjust inputs for your market.
Final Thought
“Analyze, wait, repeat.” MMPD @MaxMaserati 2.0, with MMM 2.0 and MMPB 2.0, helps you master price action. It’s your guide to seeing the market like the pros.
Built on the Max Maserati Method for educational and trading purposes.
MMM @MaxMaserati 2.0MMM @MaxMaserati 2.0 - TradingView Indicator
The Backbone of the Max Maserati Method
The MMM @MaxMaserati 2.0 indicator is the core of the proprietary Max Maserati Method (MMM), a trading system designed to decode institutional price action. It integrates candle bias analysis, market structure identification, volume-based signals, and precise entry zones to align traders with smart money.
Core Components of the MMM System
1. Six Core Candle Classifications
Master these patterns to reveal institutional behavior:
Bullish Body Close: Closes above previous high, signaling strong buying.
Bearish Body Close: Closes below previous low, indicating intense selling.
Bullish Affinity: High tests previous low, closes within range, showing hidden bullish strength.
Bearish Affinity: Low tests previous high, closes within range, reflecting bearish pressure.
Seek & Destroy: Breaks both previous high/low, closes inside, direction depends on close.
Close Inside: High/low within previous range, bias based on close.
2. Plus/Minus Strength System
Quantifies candle conviction:
Bullish Strength: Low to close distance.
Bearish Strength: High to close distance.
Plus (+): Dominant strength signals strong follow-through.
Minus (-): Balanced strengths suggest caution.
3. PO4 Candles (Power of OHLC (4))
Analyzes OHLC for body-closed candles after swing high/low fractals:
C2: Body close above high/below low post fractal with strength conditions.
C3: Stronger body close with pronounced low/high breakouts.
C4: Body close which show strength and might trigger a BeB/BuB
Visualization: Green (bullish), purple (bearish) bars; triangle markers for fractals.
4. MC2 (High Volume Reversal Candles)
High buy/sell volume candles reversed by opposing volume:
Bullish MC2: Buy volume flipped by sell volume, signaling exhaustion.
Bearish MC2: Sell volume flipped by buy volume, indicating reversal.
Visualization: Dark green (bullish), dark red (bearish) bars.
5. MMM Blocks (eBlocks and iBlocks)
Marks institutional order blocks:
External Blocks (eBlocks): At market structure changes (MSC), labeled BuB/BeB.
Internal Blocks (iBlocks): Within trends, labeled L/S.
Volume: Normalized with indicators (🔥 high, ↑ above average, ↓ low).
Filters: Discount (0-50), premium (50-100), extreme (0-20, 80-100), mid-range (20-50, 50-80).
6. Entry Blocks - Specific Entry Areas
Entry Blocks are precise zones for framing trades based on the MMM system, triggered post-MSC to capitalize on institutional momentum:
Purpose: Pinpoint high-probability entry areas following a Market Structure Change (MSC), aligning with smart money direction.
Formation:
MMM Entry Block Long: Forms after a bullish MSC (BuB), typically at the swing low (e.g., lowerValueMSC) of the fractal pattern, marking a long entry zone.
MMM Entry Block Short: Forms after a bearish MSC (BeB), typically at the swing high (e.g., upperValueMSC), marking a short entry zone.
Styles :
Close-to-Swing High/Low: Box drawn from the candle’s close to the swing high/low level, emphasizing the fractal pivot.
High/Low-to-Close: Box drawn from the candle’s high/low to its close, capturing the full price action range.
Visualization:
Labeled “MMM Entry Block Long” (cyan background/border) or “Short” (pink background/border).
Includes a dashed midline for reference.
Volume displayed if enabled, normalized with markers (🔥 >150%, ⚡ >120%, ❄️ <70%).
Behavior:
Deletes when price touches the level (On Level Touch) or closes beyond it (On Candle Close)
Limited to a configurable number ( default 5) to avoid clutter.
Trade Framing:
Entry: Enter within the eBreak box, ideally on a pullback or confirmation candle aligning with MMM bias (e.g., Bullish Body Close or Affinity).
Stop-Loss: Placed below the eBreak low (bullish) or above the high (bearish), leveraging the swing level as support/resistance.
Take-Profit: Targets higher timeframe high (bullish) or low (bearish), with ratio (default 2.0) for risk-reward.
MMM Integration: Use candle bias (Plus/Minus), PO4 signals, and MMPD consensus to confirm entry direction and strength.
Significance: eBreaks frame trades by isolating institutional entry points post-MSC, reducing noise and enhancing precision.
7. Market Structure Change (MSC)
Tracks structure shifts:
Detection: Fractal highs/lows with adjustable candle count.
Visualization: Green (BuB), red (BeB) lines/labels; numbered breaks (Bub1/Beb1).
Counter: Tracks consecutive MSCs for trend strength.
8. MMPD (Market Momentum Price Delivery)
Analyzes momentum/trend:
Conditions: Red (bearish), Green (bullish), Pink (modifying bearish), Pale Green (modifying bullish).
Traps: Flags bullish/bearish traps when MMPD conflicts with body close.
Metrics: SuperMaxTrend, momentum (K/D), MMPD level.
Consensus: Rated signals (e.g., “Very Strong Buy ★★★★★”).
9. Trade and Risk Management
Disciplined trading:
Entry Visualization: Entry, stop-loss, take-profit lines/labels with customizable risk (riskAmount, default $50) and reward (ratio).
Behavior: Shows last/all entries, removes on MSC shift or breach.
Text Size: Tiny, Small, Normal.
NB: The Trade and risk management is to use with caution, it is not fully implemented yet.
10. Stats Table
Real-time dashboard:
Elements: Timeframe, symbol, candle bias, strength, MMPD, momentum, SuperMaxTrend, MMPD level, volume, consensus, divergence, delta MA, price delivery, note (“Analyze | Wait | Repeat”).
Customization: Position, size, element visibility.
Colors: Green (bullish), red (bearish), orange (warnings), gray (neutral).
11. Delta MA and Divergence
Monitors volume delta:
Delta MA: Smoothed delta with direction arrows (↗↘→).
Divergence: Flags MMPD-momentum divergences (⚠️).
Key Features
Automated Analysis: Detects PO4, MSC, blocks, MC2, Entry Block via OHLC.
Color-Coded Visualization: Bars, lines, table cells reflect bias/strength.
Dynamic Bias Lines: Higher timeframe high/low lines with labels.
Volume Analysis: Normalized volume across blocks, entries, MC2.
Flexible Filters: Tailors block/entry Block display to strategies.
Real-Time Metrics: Tracks strength, delta, trend points.
Trading Advantages
Institutional Insight: Decodes manipulation via OHLC and volume.
Early Reversals: Spots shifts via PO4, MC2, MSC, Entry Blocks.
Precise Entries: entry block frame high-probability trades.
Robust Risk Management: Stop-loss, take-profit, risk-reward.
Simplified Complexity: Actionable signals from complex action.
Profit Target Framework
Bullish: Higher timeframe high.
Bearish: Higher timeframe low.
Plus Strength: Direct move.
Minus Strength: Pullbacks expected.
Entry Blocks/MSC-Driven: Entry anchor entries to MSC targets.
Trader’s Mantra
“Analyze | Wait | Repeat” - Discipline drives profits.
The MMM @MaxMaserati 2.0 indicator, with Entry Blocks as specific trade-framing zones, offers a professional-grade framework for precise, institutional-aligned trading.
Note: Based on the proprietary Max Maserati Method for educational and analytical use.
IU Three Line Strike Candlestick PatternIU Three Line Strike Candlestick Pattern
This indicator identifies the Three Line Strike candlestick pattern — a rare yet powerful 4-bar reversal setup that captures exhaustion and momentum shifts at the end of strong trends.
Pattern Logic:
The Three Line Strike is a 4-candle pattern that typically signals a sharp reversal after a sustained directional move. This script detects both bullish and bearish variations using strict criteria to ensure accuracy.
Bullish Three Line Strike:
* Previous three candles must be bearish (red)
* Each of these candles must close progressively lower (indicating a strong downtrend)
* The current candle must:
* Be bullish (green)
* Open below the prior close
* Completely engulf the previous three candles by closing above the first candle's open
* And make a higher high than the last 3 bars — confirming a strong reversal
* Once confirmed, a green shaded box is drawn around the 4-bar zone to highlight the pattern
Bearish Three Line Strike:
* Previous three candles must be bullish (green)
* Each must close progressively higher (indicating a strong uptrend)
* The current candle must:
* Be bearish (red)
* Open above the prior close
* Completely engulf the prior three candles by closing below the first candle's open
* And make a lower low than the last 3 bars — confirming downside strength
* A red shaded box is plotted around the 4-bar formation to emphasize the reversal zone
Why this is unique:
Most candlestick tools focus on 1–2 bar patterns. The Three Line Strike goes a step further by combining trend exhaustion (3 same-colored candles) with a full reversal engulfing candle. This pattern is both rare and highly expressive of sentiment shift, making it a standout signal for discretionary and algorithmic traders alike.
How users can benefit:
* High-probability setups: Filters out weak signals using multi-bar confirmation logic
* Clear visual cues: Dynamic shaded boxes and labels make spotting reversals effortless
* Cross-timeframe compatible: Works on intraday and higher timeframes across all markets
* Real-time alerts: Get notified instantly when a bullish or bearish setup forms
This indicator is a valuable addition for traders who want to capture key reversals backed by strong multi-bar price action logic. Whether you are a price action purist or a pattern-based strategist, the IU Three Line Strike gives you a reliable edge.
Disclaimer:
This script is for educational purposes only and does not constitute financial advice. Trading involves risk, and past performance is not indicative of future results. Always do your own research and consult with a licensed financial advisor before making trading decisions.
ETH Z-Pulse | QuantumResearchETH Z-Pulse | QuantumResearch
📉 Ethereum On-Chain Z-Score Composite for Trend Detection
ETH Z-Pulse is a custom on-chain valuation indicator developed by QuantumResearch, designed to identify key trend shifts in Ethereum based on three powerful on-chain metrics: NUPL, SOPR, and MVRV. It computes a composite Z-Score signal to detect statistically significant bullish or bearish phases in the market.
🔍 Core Components:
📈 NUPL Z-Score — Measures Unrealized Profit/Loss using Glassnode’s Market Cap vs. Realized Cap
📊 SOPR Z-Score — Spent Output Profit Ratio smoothed with an EMA filter
📉 MVRV Z-Score — Market Value to Realized Value comparison for Ethereum
The result is a single composite oscillator (On_chainz) that dynamically signals trend strength and valuation extremes.
⚙️ Signal Logic:
Bullish (Long Bias): When the composite Z-Score > +0.83
Bearish (Short Bias): When the Z-Score < -0.58
Neutral Zone: Values between thresholds (continuous signal)
Color-coded plots and chart bars visually highlight trend shifts and help distinguish accumulation vs. distribution phases.
🧠 Use Case:
Ideal for:
Long-term investors looking to assess ETH valuation cycles
Swing traders seeking macro trend confirmation
Analysts comparing on-chain signals with technical setups
📌 Technical Notes:
Requires on-chain data feeds from Glassnode and CoinMetrics
Designed specifically for Ethereum (ETH) on daily timeframe
Customizable Z-Score lengths for fine-tuning
Non-overlay indicator
⚠️ Disclaimer:
This tool is for educational and research purposes only.
Past performance is not indicative of future results.
On-chain metrics are probabilistic, not predictive. Always combine with other forms of analysis and risk management.
Not financial advice.
Power Block Consolidation with Volume @MaxMaserati 2.0Power Block Consolidation with Volume @MaxMaserati 2.0
Overview
Price action hinges on consolidation, the foundation of market moves. The "Power Block Consolidation with Volume @MaxMaserati 2.0" (MMPB) indicator uses a proprietary, ingenious system to identify high-probability consolidation zones—termed "power blocks"—where smart money drives accumulation or distribution. By leveraging a unique limitorphe closing candle system, to plots volume to signal price direction: significant volume at the high price indicates bullish continuation, while volume at the low price suggests bearish momentum. This tool empowers traders to exploit bullish and bearish trends with precision.
Key Features
Consolidation Detection: Pinpoints power blocks using a secret system, marking zones of smart money activity.
Volume Analysis: A proprietary limitrophe closing candle system splits volume into buying (high price) and selling (low price), revealing accumulation (buying pressure) or distribution (selling pressure).
Trend Visualization:
Bullish Trends: Green boxes and lines highlight consolidation zones with high volume at the high price, signaling upward continuation.
Bearish Trends: Red boxes and lines mark zones with high volume at the low price, indicating downward momentum.
NB: The volume matter more than the color of the box.
Example
High volume up at the box vs low volume at the low we expect an up move
Even we had a bearish Body close below the box price reconfirmed the up move
Price make the bullish upside move
Price retest the box and reject it strongly
Breakout and Retest: Captures breakouts from power blocks, with price often retesting the zone before resuming the trend.
Volume Labels: Displays buying (green) and selling (red) volume on lines for clear pressure analysis.
Breakout Alerts: Triggers alerts for bullish ("BuBC") and bearish ("BeBC") breakouts, with optional visual markers (triangles).
Strategy
MMPB is designed to capture smart money behavior in consolidation zones, where markets prepare for significant moves. Key principles:
Volume-Driven Direction: High volume at the high price within a power block signals strong bullish continuation; high volume at the low price indicates bearish potential.
Accumulation/Distribution: Buying volume reflects accumulation, priming bullish trends; selling volume signals distribution, fueling bearish trends.
Breakout and Retest: Price often breaks out from power blocks and retests the zone, offering low-risk entry points.
Consolidation as Precursor: Markets require consolidation to build momentum, making power blocks critical for trend prediction.
Traders can:
Enter on breakouts with strong volume confirmation.
Target retests of power blocks for high-probability setups.
Use volume labels to assess trend strength.
Use Cases
Trend Trading: Ride bullish or bearish trends post-breakout from high-volume power blocks.
Swing Trading: Use power blocks as dynamic support/resistance for entries and exits.
Smart Money Analysis: Identify accumulation (bullish) or distribution (bearish) zones.
Risk Management: Place stops at power block edges during retests.
Conclusion
The MMPB indicator, powered by a proprietary system, transforms consolidation analysis by identifying power blocks where smart money operates. Its limitrophe closing candle system highlights volume-driven trends, enabling traders to capitalize on bullish and bearish moves with confidence. Ideal for trend and swing traders, MMPB shines in markets where consolidation precedes significant trends, offering clear signals for breakouts and retests.
NIFTY Option Chain Table with Custom CE/PE Price FiltersThis Pine Script creates a powerful and visually organized option chain dashboard for NIFTY Index Options, showing 10 Call Options (CE) and 10 Put Options (PE), with real-time prices updated on a 5-minute chart.
You can filter and view only the most relevant option contracts based on your preferred price ranges, helping you make quick decisions for scalping, intraday, or positional trades.
🔍 How It Works:
You manually select up to 10 Call Option symbols and 10 Put Option symbols from NSE (e.g., NIFTY240530C18000, NIFTY240530P18000, etc.).
Keep that time options this are old options in defalt so there will be a error
The script fetches the real-time close price of each option using the request.security() function.
You define the minimum and maximum price range separately for Calls and Puts.
The script filters out any options that fall outside of your desired price range.
Only a limited number of matching options (as set by you) are displayed in the table for both Calls and Puts.
The table is shown at your preferred location on the chart (Bottom Right, Top Left, etc.).
✅ Features:
🔟 Supports exactly 10 CE and 10 PE options for tracking.
📈 Live price updates pulled directly from the chart timeframe (5-min).
🎯 Custom price filters for CE and PE (separate inputs).
📊 Show only the top X number of contracts that meet your filter criteria.
🧱 Vertical layout with clear headers and color-coded sections (green for Calls, red for Puts).
🎛️ Position the table wherever it's most convenient on your chart.
⚡ Helps you quickly spot low premium or range-bound options during the day.
📌 Use Case:
Ideal for:
Option scalpers and day traders who want to focus only on options within a specific price zone.
Traders who want to monitor multiple strikes simultaneously without clutter.
Users building custom NIFTY strategies based on option premiums.
Strike Price selection by GoldenJetThis script is designed to assist options traders in selecting appropriate strike prices based on the latest prices of two financial instruments. It retrieves the latest prices, rounds them to the nearest significant value, and calculates potential strike prices for both call and put options. The results are displayed in a customizable table, allowing traders to quickly see the relevant strike prices for their trading decisions.
The strike prices shown are In-The-Money (ITM), which helps options traders in several ways:
Saving from Theta Decay: On expiry day, ITM options experience less time decay (Theta), which can help preserve the option's value.
Capturing Good Points: ITM options have a higher Delta, meaning they move more in line with the underlying asset's price. This can help traders capture a good amount of points as the underlying asset's price changes.
In essence, this tool simplifies the process of determining strike prices, making it easier for traders to make informed decisions and potentially improve their trading outcomes.
UNITED TRADING COMMUNITY WaterMarkWATER MARK indicator. Will allow you to improve the order of the entries you need on the chart.
1. Name and date for the traded instrument
2. Watermarks to protect your charts (in the center and around the perimeter of the chart)
3. The new "notes" option will allow you to keep focus on the factors that are important to you on the chart.
Very flexible settings for any notes, labels, watermarks on the chart that are important to you.
Индикатор WATER MARK . Даст возможность вам улучшить порядок нужных вам записей на графике.
1. Название и дата для торгуемого инструмента
2. Водные знаки для защиты ваших графиков ( в центре и по периметру графика)
3. Новая опция "заметки" позволит вам держать фокус на важных для вас факторах на графике.
Очень гибкая настройка , любых значимых для вас заметок , лейблов , вотермарк на графике.