2-Year Real RateThe 2-year real rate is the inflation-adjusted yield on a 2-year U.S. Treasury—essentially the market’s expectation for short-term “true” interest rates after subtracting expected inflation (often approximated as nominal 2Y yield – breakeven inflation).
It matters because it reflects the actual cost of capital and is one of the cleanest gauges of the Fed’s effective stance: rising real rates mean tightening financial conditions, falling real rates mean loosening. In trading, the 2Y real rate is a powerful macro risk-on/risk-off indicator—equities, long-duration tech, crypto, and EM FX generally weaken when real rates rise, while USD and front-end rate-sensitive trades tend to strengthen. Watching inflections in the 2Y real rate helps you time shifts in liquidity, gauge how aggressively the market is pricing Fed moves, and position for cross-asset trends driven by changes in real funding conditions.
Manajemen portofolio
RS-Momentum Score (0–10) — v6 CleanWHAT THIS INDICATOR DOES
This code gives you:
✔ Full 0–10 RS-Momentum scoring system
Trend
Momentum
RS vs Nifty
Volume
✔ BUY / HOLD / SELL signals
BUY = Score ≥ 7
HOLD = 4–6.99
SELL = < 4
Myfxschool V1Introducing the MyFXSchool Leading Indicator™, a next-generation market prediction tool designed exclusively for traders who want accuracy, clarity, and early trend identification. Built using advanced price-action logic, institutional order-flow concepts, and dynamic volatility algorithms, this indicator gives you a true leading advantage—not just lagging signals.
ICT Smart Money Trading Suite PRO [SwissAlgo]ICT SMC Trading Suite Pro
Structure Detection. Imbalance Tracking. Trade Planning. Contextual Alerts.
Why This Integrated System Was Built
The ICT/SMC methodology requires tracking multiple analytical components simultaneously - a process prone to manual errors, time inefficiency, and visual clutter . This indicator consolidates these elements into a single, unified system , providing rules-based validation for experienced ICT traders who may struggle with execution speed, consistency, and manual calculations.
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What This Indicator Does
ICT/SMC methodology involves tracking multiple analytical components simultaneously. This indicator consolidates them into a single system.
Common challenges when applying ICT manually:
1️⃣ Structure Identification
Determining which pivots qualify as external (macro) structure versus internal (micro) structure requires consistent rules. Inconsistent structure identification affects the detection of the relevant trading range for entries , Change of Character (ChoCH) , and Break of Structure (BoS) . Accurate structure identification is paramount ; a faulty reading invalidates the entire ICT thesis for the current swing. While no automated system can replace human judgment, the indicator provides you with a rules-based starting point for structural analysis. The key goal is to help you find and map the relevant structural leg to focus on.
2️⃣ Chart Organization
Drawing Fibonacci retracements, Fair Value Gaps, Order Blocks, and other imbalances manually creates visual complexity that can obscure the analysis. The indicator addresses this by striving to show all imbalances in a consistent, unified, and understandable visual way , using color coding and z-order layering to maintain clarity even when multiple components are active.
3️⃣ Imbalance Tracking
ICT methodology requires monitoring a vast array of institutional footprints : Fair Value Gaps (FVG), Order Blocks (OB), Breaker Blocks (BB), Liquidity Pools (LP), Volume Imbalances, Wick Imbalances, and Kill Zone ranges. Tracking all these simultaneously and manually monitoring their mitigation status is highly time-intensive and prone to oversight . The indicator constantly scans and tracks all key imbalance types for you, automatically updating their status and creating a dynamic, real-time visual heatmap of unmitigated institutional inefficiency.
4️⃣ Trade Calculation
Determining structure-based Stop Loss (SL) placement, calculating multiple Take Profit (TP) levels with accurate position-sizing splits, and computing the final blended Risk-to-Reward (R:R) ratio involves multiple time-sensitive, manual calculations per setup . The indicator automates this entire trade calculation process for you, instantly providing the necessary pricing (entry, SL, TP), sizing, and performance projections, and mitigating the risk of execution error .
5️⃣ Condition Monitoring
ICT setups often require specific technical conditions to align: price reaching discount Fibonacci levels (0.618-0.882 for shorts, 0.118-0.382 for longs), EMA crossovers confirming momentum, or structural shifts (ChoCH/BoS). Identifying these moments requires continuous chart observation across multiple assets and timeframes.
This indicator includes an alert system that monitors these technical conditions and sends notifications when they occur (real-time). The alert system is designed to minimize spam. This allows traders to review potential setups on demand rather than through continuous observation - particularly relevant for those monitoring multiple instruments or trading sessions outside their local timezone.
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Intended Use
This indicator is designed for traders who:
♦ Apply ICT/SMC methodology - Familiarity with concepts such as Fair Value Gaps, Order Blocks, Liquidity Pools, market structure, and discount/premium zones is assumed. The indicator does not teach these concepts but provides tools to apply them.
♦ Trade on intraday to swing timeframes - The structure detection and Fibonacci zone mapping work across multiple timeframes. Recommended primary timeframe: 1H (adjustable based on trading approach).
♦ Prefer systematic entry planning - The trade calculation feature computes stop loss, take profit levels, and risk-to-reward ratios based on structure and Fibonacci positioning. Suitable for traders who use defined entry criteria.
♦ Monitor multiple instruments or sessions - The alert functionality notifies when specific technical conditions occur (discount zone entries, EMA crossovers, structure changes), reducing the need for continuous manual monitoring.
♦ Use trade execution platforms - The trade summary table displays pre-formatted values (entry, SL, TP levels with quantity splits) that can be manually input into trading platforms or bot services like 3Commas.
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How To Use
Step 1: Structure Analysis
The indicator automatically detects external and internal market structure using pivot analysis. Structure lines are color-coded: red for bearish structure, green for bullish. External pivots are marked with larger triangles, internal pivots with smaller markers. The pivot length parameters (default: 20/20) can be adjusted in settings to align with your structural analysis approach and the asset you are analyzing.
Step 2: Define Your Trading Zone
Use the "Start Swing" and "End Swing" date inputs to mark the beginning and end of the (external) structural leg you wish to analyze. The indicator calculates Fibonacci retracement levels based on these points and color-codes the zones:
* Green zones: Discount area (0.618-0.882 for bearish / 0.118-0.382 for bullish)
* Yellow zones: Premium area (0.786-1.0 for bearish / 0.0-0.214 for bullish)
* Red zones: Extension area beyond structure (potential fake-out zones)
Step 3: Review Imbalances
The indicator identifies and displays multiple imbalance types:
🔥 Volume imbalances (from displacement candles based on PVSRA methodology)
🔥 Fair Value Gaps (FVG)
🔥 Order Blocks (OB) and Breaker Blocks (BB)
🔥 Liquidity Pools (LP) at equal highs/lows
🔥 Wick imbalances (exceptional wick formations)
🔥 Kill Zone liquidity from specific trading sessions (Asian, London, NY AM)
Volume Imbalances
Fair Value Gaps
Order Blocks
Liquidity Pools
Wick Imbalances
Kill Zone Imbalances
According to ICT methodology, imbalances act as price magnets - areas where price tends to return for mitigation. When multiple imbalances overlap at the same price level, this creates a confluence zone with a higher probability of price reaction .
Imbalances are displayed as gray boxes , creating a visual heatmap of institutional inefficiencies. When imbalances overlap, the zones appear darker due to layering, and labels combine to show confluence (e.g., "FVG + OB" or "Vol + LP").
Heatmap of Imbalances
User can view each type alone, or all together (heatmap)
Each imbalance type is tracked until mitigated by price according to ICT principles and can be toggled on/off independently in settings.
Step 4: Reference Levels & Sessions
The indicator displays additional reference data:
🔥 Daily Pivot Points (PP, R1-R3, S1-S3) calculated from previous day
🔥Average Daily Range (ADR) projected from the current day's extremes
🔥 Daily OHLC levels: Today's Open (DO), Previous Day High (PDH), Previous Day Low (PDL)
🔥Session backgrounds (optional): Color-coded boxes for Asian, London, NY AM, and NY PM sessions
Sessions
While these are not ICT-specific imbalances, they represent widely-watched price levels that often attract institutional activity and can act as additional reference points for support, resistance, and liquidity targeting.
All reference levels can be toggled independently in settings.
Step 5: Momentum Reference
EMA 14 and EMA 21 lines are displayed for momentum analysis. When EMA 14 enters discount zones and crosses EMA 21, a triangle marker appears on the chart. This indicates a potential alignment of structure and momentum conditions.
Step 6: Trade Planning
Input your intended entry price in the "Entry Price" field along with your margin and leverage parameters. The indicator automatically calculates all trade parameters:
* Stop loss level (based on Fibonacci structure - typically at 1.118 extension)
* Three take profit levels (TP1, TP2, TP3) with position quantity splits
* Risk-to-reward ratio (blended across all three targets)
* Projected profit/loss values in both dollars and percentage
All calculated values are displayed both visually on the chart (as horizontal lines with labels) and in a formatted Trade Summary table. The table organizes the information for quick reference: entry details, take profit levels with quantities, stop loss parameters, and performance projections.
This pre-calculated data can be manually copied into trading platforms or bot services (such as 3Commas Smart Trades) without requiring additional calculations.
Step 7: Alert Configuration
Create alerts using TradingView's alert system (select "Any alert() function call"). The indicator sends notifications when:
* Price reaches specific discount Fibonacci levels (0.618, 0.786, 0.882 for shorts / 0.382, 0.214, 0.118 for longs)
* EMA 14/21 crossovers occur within discount zones
* Change of Character (ChoCH) is detected
* Break of Structure (BoS) is detected
Note: Alerts require active TradingView alert functionality. Update alerts when changing your trading zone parameters.
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Key Features
Structure & Zone Analysis
* Automated structure detection with external/internal pivots and zig-zag visualization
* Fibonacci retracement mapping with color-coded discount/premium zones
* Visual zone classification: Green (optimal discount), Yellow (premium), Red (fake-out risk)
ICT Imbalances Heatmap
* Volume imbalances (PVSRA displacement candles)
* Fair Value Gaps (FVG)
* Order Blocks (OB) and Breaker Blocks (BB)
* Liquidity Pools (LP) at equal highs/lows
* Wick imbalances (exceptional wick formations)
* Kill Zone liquidity (Asian, London, NY AM sessions)
* Confluence detection with combined labels and visual layering
Reference Levels
* Daily Pivot Points (PP, R1-R3, S1-S3)
* Average Daily Range (ADR) projections
* Daily OHLC levels (DO, PDH, PDL)
* Session backgrounds for kill zones
Trade Planning Tools
* Automated stop loss calculation based on Fibonacci structure
* Three-tier take profit system with position quantity splits
* Risk-to-reward ratio calculation (blended across all targets)
* P&L projections in dollars and percentages
* Trade Summary table formatted for manual platform entry
Momentum & Signals
* EMA 14/21 overlay for momentum analysis
* Visual crossover markers (triangles) in discount zones
* Change of Character (ChoCH) detection and labels
* Break of Structure (BoS) detection and labels
Chart Enhancements
* Higher timeframe candle overlay (5m to Monthly)
* PVSRA candle coloring (volume-based)
* Symbol legend for quick reference
* Customizable visual elements (toggle all components independently)
Alert System
* Discount zone entry notifications (Fibonacci level monitoring)
* EMA crossover signals within discount zones
* Structure change alerts (ChoCH and BoS)
* Configurable via TradingView alert functionality
Alert Functionality
The indicator includes an alert system that monitors technical conditions continuously.
When configured, alerts notify users when specific events occur:
❗ Discount Zone Monitoring
When EMA 14 crosses into key Fibonacci levels (0.618, 0.786, 0.882 for bearish structure / 0.382, 0.214, 0.118 for bullish structure), an alert is triggered. Example: Trading BTC and ETH simultaneously - instead of monitoring both charts for zone entries, alerts notify when either asset reaches the specified level.
❗ Momentum Alignment
When EMA 14 crosses EMA 21 within discount zones, an alert is sent. Example: Monitoring setups across multiple timeframes (1H, 4H, Daily) - alerts indicate when momentum conditions align on any timeframe being tracked.
❗ Structure Changes
Change of Character (ChoCH) and Break of Structure (BoS) events trigger alerts. Example: Trading during the Asian session while located in a different timezone - alerts notify of structure changes occurring outside active monitoring hours.
Configuration
Alerts are set up through TradingView's native alert system. Select "Any alert() function call" when creating the alert.
⚠️ Note: Alert parameters are captured at creation time, so alerts must be updated when changing trading zone settings (Start/End Swing dates) or any other parameter.
How to Create Alerts
Step 1: Open Alert Creation
Click the "Alert" button (clock icon) in the top toolbar of TradingView, or right-click on the chart and select "Add Alert."
Step 2: Configure Alert Condition
* In the alert dialog, set the Condition dropdown to select this indicator
* Set the alert type to ⚠️ " Any alert() function call "
* This configuration allows the indicator to trigger alerts based on its internal logic
Step 3: Set Alert Timing
* Timeframe: Same as chart
* Expiration: Choose "Open-ended (when triggered)" to keep the alert active until conditions occur
* Message tab: choose a name for the alert
Step 4: Notification Settings
Configure how you want to receive notifications:
* Popup within TradingView
* Email notification
* Mobile app push notification (requires TradingView mobile app)
Step 5: Create
Important Notes:
* Alert parameters are captured at creation time . If you change your trading zone (Start/End Swing dates) or entry price, delete the old alert and create a new one .
* One alert per chart: Create separate alerts for each instrument and timeframe you're monitoring.
* TradingView alert limits apply based on your TradingView subscription tier.
What Triggers Alerts: This indicator sends alerts for four key event types:
1. Discount Zone Entry - EMA 14 crossing key Fibonacci levels
2. Momentum Crossover - EMA 14/21 crossovers within discount zones
3. Change of Character (ChoCH) - Structure reversal detected
4. Break of Structure (BoS) - Trend continuation confirmed
All four conditions are monitored by a single alert configuration .
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Recommended Settings
* Timeframe : 1H works well for most assets
* Theme : Dark mode recommended
* Structural Pivots : Default 20/20 captures reasonable structure; adjust to match your analysis
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Chart Elements Guide
♦ Structure Visualization
Zig-zag lines
Automated structure detection - green lines indicate bullish structure, red lines indicate bearish structure. Thick lines represent external structure , thin faded lines show internal structure .
Triangle markers
Large triangles mark external pivots (swing highs/lows), small triangles mark internal pivots.
Fibonacci Zones
* Green zones: Discount area - potential entry zones (0.618-0.882 for shorts / 0.118-0.382 for longs)
* Yellow zones: Premium area - higher extension zones (0.786-1.0 for shorts / 0.0-0.214 for longs)
* Red zones: Fake-out risk area - price beyond structural extremes (above 1.0 for shorts / below 0.0 for longs)
* White dashed lines: Individual Fibonacci levels (1.0, 0.882, 0.786, 0.618, 0.5, 0.382, 0.214, 0.118, 0.0)
♦ Imbalance Heatmap
Gray boxes with dotted midlines
Unmitigated imbalances create a visual heatmap. Overlapping imbalances appear darker due to layering.
Combined labels
When multiple imbalances overlap, labels show confluence (e.g., "FVG + OB", "Vol + LP + Wick")
Types displayed : Vol (Volume), FVG (Fair Value Gap), OB (Order Block), BB (Breaker Block), LP (Liquidity Pool), Wick, KZ (Kill Zone)
♦ Momentum Indicators
* Red line: EMA 14
* Yellow line: EMA 21
* Small triangles on price: Crossover signals - red triangle (bearish crossover), green triangle (bullish crossover) when occurring within discount zones
♦ Structure Change Markers
* Labels with checkmarks/crosses: ChoCH (Change of Character) and BoS (Break of Structure) events (Green label with ✓: Bullish ChoCH or BoS, Red label with ✗: Bearish ChoCH or BoS)
♦ Trade Planning Lines (when entry price is set)
* Blue horizontal line: Entry price
* Green dashed lines: TP1 and TP2
* Green solid line: TP3 (final target)
* Red horizontal line: Stop Loss level
TP levels and SL are calculated based on the structure range, entry price, and mapped trading zone, and aim to achieve a minimum risk: reward ratio of 1:1.5 (R:R)
♦ Colored background zones:
Green shading between entry and TP3 (profit zone), red shading between entry and SL (loss zone)
♦ Reference Levels
* Orange dotted lines with labels: Daily Pivot Points (PP, R1-R3, S1-S3)
* Purple dotted lines with labels: ADR High and ADR Low projections
* Cyan dotted lines with labels: DO (Daily Open), PDH (Previous Day High), PDL (Previous Day Low)
♦ Session Backgrounds (optional)
* Yellow shaded box: Asian session (19:00-00:00 NY time)
* Blue shaded box: London session (02:00-05:00 NY time)
* Green shaded box: NY AM session (09:30-11:00 NY time)
* Orange shaded box: NY PM session (13:30-16:00 NY time)
♦ Trade Summary Table (top-right corner)
Displays a complete trade plan with sections:
* Sanity Check: Plan validation status
* Setup: Trade type, leverage, entry price, position size
* Take Profit: TP1, TP2, TP3 with prices, percentages, and quantity splits
* Stop Loss: SL price and type
* Performance: Potential profit/loss, ROI, and risk-to-reward ratio
♦ HTF Candle Overlay (optional, displayed to the right of the current price)
* Larger candlesticks representing higher timeframe price action
* Green bodies: Bullish HTF candles
* Red bodies: Bearish HTF candles
* Label shows selected timeframe (e.g., "HTF→ D" for daily)
♦ Legend Table (bottom-right corner)
Quick reference guide explaining all symbol abbreviations and color codes used on the chart.
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Methodology & Calculation Details
This indicator consolidates multiple ICT/SMC analytical components into a single integrated system. While individual elements could be created separately, this integration provides automated coordination between components , consistency, and reduces chart complexity.
Structure Detection External and internal pivots
Are identified using fractal pivot analysis with configurable lookback periods (default: 20 bars for both). A pivot high is confirmed when the high at the pivot bar exceeds all highs within the lookback range on both sides. Pivot lows use inverse logic. Structure lines connect validated pivots, with color coding based on price direction (higher highs/higher lows = bullish, lower highs/lower lows = bearish).
Fibonacci Retracement Calculation
Users define two swing points via date/time inputs. The indicator calculates the price range between these points and applies standard Fibonacci ratios (0.0, 0.118, 0.214, 0.382, 0.5, 0.618, 0.786, 0.882, 1.0, plus extensions at 1.118, 1.272, -0.118, -0.272). Zone classification is based on ICT discount/premium principles: 0.618-1.0 range for bearish setups, 0.0-0.382 for bullish setups.
Imbalance Identification
Volume Imbalances : Detected using PVSRA (Price, Volume, Support, Resistance Analysis) methodology. Candles are classified based on the percentile ranking of volume and price range over a 1344-bar lookback period. Type 1 imbalances require ≥95th percentile in both volume and range; Type 2 requires ≥85th percentile. Additional filters include body-to-range ratio (≥50% for Type 1, ≥30% for Type 2) and ATR validation.
Fair Value Gaps (FVG) : Identified when a three-candle sequence shows a price gap: low > high for bullish FVG, high < low for bearish FVG. The middle candle must close beyond the gap edge. Mitigation occurs when the price retraces into the gap.
Order Blocks (OB) : Detected by identifying the last opposing candle before a significant price move. When price breaks a swing high/low, the algorithm scans backwards to find the candle with the highest high (bearish OB) or lowest low (bullish OB) before the breakout. When an OB is breached, it converts to a Breaker Block (BB).
Liquidity Pools (LP) : Identified by detecting equal highs or equal lows using a tolerance threshold based on ATR. Pivot highs/lows within this tolerance range are grouped. Equal highs create Buy-Side Liquidity (BSL) zones above the level; equal lows create Sell-Side Liquidity (SSL) zones below the level.
Wick Imbalances: Flagged when a candle's wick exceeds 1.0x ATR and comprises >50% of the total candle range. These represent rapid rejections or absorption events.
Kill Zone Liquidity: Tracks the high/low range during specific ICT-defined sessions (Asian: 19:00-00:00 NY, London: 02:00-05:00 NY, NY AM: 09:30-11:00 NY). At session close, BSL and SSL zones are created above/below the session range.
Change of Character (ChoCH) & Break of Structure (BoS)
ChoCH is detected when price breaks counter to the established structure (bearish structure broken upward = bullish ChoCH; bullish structure broken downward = bearish ChoCH). BoS occurs when price breaks in the direction of the established trend (bearish structure breaking lower = bearish BoS; bullish structure breaking higher = bullish BoS).
Trade Calculations
Stop Loss and Take Profit levels are calculated based on the entry position within the Fibonacci zone structure:
* Premium entries (0.786-1.0 for shorts / 0.0-0.214 for longs): SL at 1.118/-0.118 extension, TP structure weighted toward zone extremes
* Golden entries (0.618-0.786 for shorts / 0.214-0.382 for longs): SL at 1.0/0.0 boundary, TP structure balanced across range
Risk-to-reward ratios are calculated as blended values across all three take profit levels, weighted by position quantity splits.
Reference Level Calculations
* Pivot Points: Standard formula using previous day's high, low, and close: PP = (H + L + C) / 3
* Support/Resistance: R1 = 2×PP - L, S1 = 2×PP - H, with R2/S2 and R3/S3 calculated using range extensions
* ADR: 14-period simple moving average of daily high-low range, projected from current day's extremes
Momentum Analysis
EMA 14 and EMA 21 use standard exponential moving average calculations. Crossovers are detected when EMA 14 crosses EMA 21 within user-defined discount zones, with directional confirmation (cross under in bearish discount = short signal; cross over in bullish discount = long signal).
Why This Integration Matters
While components like EMA crossovers, pivot detection, or Fibonacci retracements exist as separate indicators, this system provides:
1. Coordinated Analysis : All components reference the same structural framework (user-defined trading zone)
2. Automated Mitigation Tracking : Imbalances are monitored continuously and removed when mitigated according to ICT principles
3. Contextual Alerts : Notifications are triggered only when conditions align within the defined structural context
4. Trade Parameter Automation : Stop loss and take profit calculations adjust dynamically based on entry positioning within the structure
5. Consistent Visual Display : All elements use a unified color scheme, labeling system, and z-order layering. This eliminates visual conflicts that occur when stacking multiple independent indicators (overlapping lines, label collisions, inconsistent transparency levels, conflicting color schemes).
This consolidation reduces the need to manually coordinate 8-10 separate indicators, eliminates redundant calculations across disconnected tools, and maintains visual clarity even when all components are displayed simultaneously.
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Disclaimer
1. Indicator Functionality and Purpose
This indicator is solely a technical analysis tool built upon established methodologies (Smart Money Concepts/ICT) and statistical calculations (Pivots, Fibonacci, EMAs). It is designed to assist experienced traders in visualizing complex data, streamlining the analytical workflow, and automating conditional alerting.
The indicator is NOT:
♦ Financial Advice: It does not provide personalized investment recommendations, solicited advice, or instruction on buying, selling, or holding any financial instrument.
♦ A Guarantee of Profit: The presence of a signal, alert, or trade plan output by this tool does not guarantee that any trade will be profitable.
♦ A Predictor of Future Prices: The tool calculates probabilities and potential scenarios based on historical data and current structure; it does not predict future market movements.
2. General Trading Risks and Capital Loss
♦ All trading involves substantial risk of loss. You may lose some or all of your initial capital. Leveraged products, such as futures, CFDs, and margin trading, carry a high degree of risk and are not suitable for all investors.
♦ Risk Acknowledgment: By using this indicator, you acknowledge and accept that you are solely responsible for all trading decisions, and you bear the full risk of any resulting profit or loss.
♦ Risk Management is Crucial: This indicator is an analytical tool only. You must employ independent risk management techniques (position sizing, stop-loss orders) tailored to your personal financial situation and risk tolerance.
3. Calculation Limitations and Non-Real-Time Data
The calculations performed by this indicator are based on the data provided by your charting platform (e.g., TradingView).
♦ Data Accuracy: The accuracy of the outputs (e.g., Price Delivery Arrays, Pivots, P&L projections) is dependent on the accuracy and real-time nature of the underlying market data feed.
♦ Latencies: Trade alerts and signals may be subject to minor delays due to server processing, internet connectivity, or charting platform performance. Do not rely solely on alerts for execution.
♦ Backtesting and Performance: Any depiction of past performance, including data visible on the chart, is not indicative of future results. Trading results will vary based on market conditions, liquidity, and execution speed.
4. Software and Platform Disclaimer
"As Is" Basis: The indicator is provided on an "as is" basis without warranties of any kind, whether express or implied. The author does not guarantee the script will be error-free or operate without interruption.
Third-Party Integration: This indicator is not affiliated with, endorsed by, or connected to TradingView, 3Commas, or any other broker or execution platform. All third-party names are trademarks of their respective owners. The formatting of the Trade Summary Table for 3Commas is for user convenience only.
5. Required Competency (User Responsibility)
This indicator is built on the assumption that the user is an experienced trader with a working understanding of the complex concepts being visualized (ICT/SMC, FVG, Order Blocks, Liquidity, etc.). The indicator does not teach these concepts.
You Must Always Do Your Own Research (DYOR) before making any trading decision based on signals or visualization provided by this tool.
By installing and using this indicator, you explicitly agree to these terms and assume full responsibility for all trading activity.
ATR Risk Manager v5.2 [Auto-Extrapolate]If you ever had problems knowing how much contracts to use for a particular timeframe to keep your risk within acceptable levels, then this indicator should help. You just have to define your accepted risk based on ATR and also percetage of your drawdown, then the indicator will tell you how many contracts you should use. If the risk is too high, it will also tell you not to trade. This is only for futures NQ MNQ ES MES GC MGC CL MCL MYM and M2K.
Multi-Ticker Anchored CandlesMulti-Ticker Anchored Candles (MTAC) is a simple tool for overlaying up to 3 tickers onto the same chart. This is achieved by interpreting each symbol's OHLC data as percentages, then plotting their candle points relative to the main chart's open. This allows for a simple comparison of tickers to track performance or locate relationships between them.
> Background
The concept of multi-ticker analysis is not new, this type of analysis can be extremely helpful to get a gauge of the over all market, and it's sentiment. By analyzing more than one ticker at a time, relationships can often be observed between tickers as time progresses.
While seeing multiple charts on top of each other sounds like a good idea...each ticker has its own price scale, with some being only cents while others are thousands of dollars.
Directly overlaying these charts is not possible without modification to their sources.
By using a fixed point in time (Period Open) and percentage performance relative to that point for each ticker, we are able to directly overlay symbols regardless of their price scale differences.
The entire process used to make this indicator can be summed up into 2 keywords, "Scaling & Anchoring".
> Scaling
First, we start by determining a frame of reference for our analysis. The indicator uses timeframe inputs to determine sessions which are used, by default this is set to 1 day.
With this in place, we then determine our point of reference for scaling. While this could be any point in time, the most sensible for our application is the daily (or session) open.
Each symbol shares time, therefore, we can take a price point from a specified time (Opening Price) and use it to sync our analysis over each period.
Over the day, we track the percentage performance of each ticker's OHLC values relative to its daily open (% change from open).
Since each ticker's data is now tracked based on its opening price, all data is now using the same scale.
The scale is simply "% change from open".
> Anchoring
Now that we have our scaled data, we need to put it onto the chart.
Since each point of data is relative to it's daily open (anchor point), relatively speaking, all daily opens are now equal to each other.
By adding the scaled ticker data to the main chart's daily open, each of our resulting series will be properly scaled to the main chart's data based on percentages.
Congratulations, We have now accurately scaled multiple tickers onto one chart.
> Display
The indicator shows each requested ticker as different colored candlesticks plotted on top of the main chart.
Each ticker has an associated label in front of the current bar, each component of this label can be toggled on or off to allow only the desired information to be displayed.
To retain relevance, at the start of each session, a "Session Break" line is drawn, as well as the opening price for the session. These can also be toggled.
Note: The opening price is the opening price for ALL tickers, when a ticker crosses the open on the main chart, it is crossing its own opening price as well.
> Examples
In the chart below, we can see NYSE:MCD NASDAQ:WEN and NASDAQ:JACK overlaid on a NASDAQ:SBUX chart.
From this, we can see NASDAQ:JACK was the top gainer on the day. While this was the case, it also fell roughly 4% from its peak near lunchtime. Unlike the top gainer, we can see the other 3 tickers ended their day near their daily high.
In the explanations above, the daily timeframe is used since it is the default; however, the analysis is not constrained to only days. The anchoring period can be set to any timeframe period.
In the chart below, you can observe the Daily, Weekly, and Monthly anchored charts side-by-side.
This can be used on all tickers, timeframes, and markets. While a typical application may be comparing relevant assets... the script is not limited.
Below we have a chart tracking COMEX:GCV2026 , FX:EURUSD , and COINBASE:DOGEUSD on the AMEX:SPY chart.
While these tickers are not typically compared side-by-side, here it is simply a display of the capabilities of the script.
Enjoy!
Trade Box Position Calculator (Pro-V2)Trade Box Position Calculator (Pro) is a visual risk management and position sizing tool that overlays a clean trade box directly on your chart. Instead of typing numbers in a calculator, you simply click on the chart to set your Entry, Target, and Stop levels, and the script builds a full trade map around them.
You define your Wallet Value and Risk % per trade, then the script automatically calculates:
Position size (Qty) based on distance from Entry to Stop
Total trade value
Monetary risk per trade
Potential profit and Risk:Reward ratio
Live open P&L as price moves
The trade is visualized as:
A green profit box between Entry and Target
A red risk box between Entry and Stop
Colored horizontal lines for Entry (blue), Target (green), and Stop (red)
Professional labels show detailed info:
Center label: P&L, Qty, Trade value, Risk $, R:R
Target label: distance to target, % move, potential profit $
Stop label: distance to stop, % risk, risk $
All label colors, text sizes, background transparency, and box width/offset can be customized from the settings, so you can adapt the tool to any chart style or theme.
The script also includes smart alerts that automatically follow your levels:
Entry Hit – when price touches your entry zone
Target Hit – when price touches your target
Stop Hit (3 closes) – when price has closed beyond your stop level for 3 consecutive bars (to avoid being faked out by a single wick)
You can either create separate alerts from the alertcondition() entries, or enable the “Use single combined alert()” option and set one alert with “Any alert() function call” so a single alert setup covers Entry, Target, and Stop events.
This tool is designed to help discretionary traders quickly plan trades, visualize risk vs reward on the chart, and keep position sizing consistent with their risk management rules.
Spot for ETH Multiple BuyIndicator Description (English)
This indicator combines SOPR-based on-chain signals, modified Stock-to-Flow zones, daily volume/price aggregation, and VWMA structure to identify potential market bottoms and tops.
It is specifically optimized for Ethereum and works best on the 1-day timeframe for spot buying decisions.
Buy signals appear when several independent conditions align, including SOPR undervaluation, S2F deviation, RSI sentiment, and price–volume inflection points.
Sell signals highlight potential overheated conditions using the same multi-factor framework.
Этот индикатор сочетает в себе сигналы на основе SOPR, модифицированные зоны Stock-to-Flow, ежедневную агрегацию объёма/цены и структуру VWMA для выявления потенциальных днов и вершин рынка.
Он специально оптимизирован для Ethereum и лучше всего работает на однодневном таймфрейме для принятия решений о спотовой покупке.
Сигналы покупки появляются, когда совпадают несколько независимых условий, включая занижение SOPR, отклонение S2F, настроение RSI и точки перегиба цена–объем.
Сигналы продажи подчёркивают потенциальные перегревающие условия с помощью той же многофакторной системы.
Asset Correlation Matrix [PEARSON|BETA|R2]The Market Dilemma: The Liquidity Trap and The Illusion of Diversification
One of the most expensive mistakes in modern trading is the assumption that holding different asset classes—such as Technology Stocks, Crypto, and Commodities—automatically provides safety. In stable economic times, this may be true. However, in environments defined by high liquidity stress or macroeconomic shocks, the correlations between these seemingly distinct assets tend to converge mathematically to 1.0. This phenomenon is known in quantitative finance as "Systemic Coupling." When this occurs, technical analysis on individual charts loses its predictive power because the asset is no longer trading on its own idiosyncratic fundamentals (e.g., earnings or user growth) but is merely acting as a high-beta proxy for global liquidity flows. This toolkit solves this problem by providing an institutional-grade framework to quantify exactly how much "independence" your assets truly possess at any given moment. It objectively separates a "Stock Picker's Market," where individual analysis works, from a "Macro Regime," where only the broader trend matters.
Scientific Foundation: Why Logarithmic Returns Matter
Standard retail indicators often calculate correlation based on simple percentage price changes. This approach is mathematically flawed over longer timeframes due to the compounding effect. This algorithm is grounded in Modern Portfolio Theory (MPT) and utilizes Logarithmic Returns (continuously compounded returns). As established in academic literature by Hudson & Gregoriou (2015), log returns provide time-additivity and numerical stability. This ensures that the statistical relationship measured over a rolling 60-day window is accurate and not distorted by volatility spikes, providing a professional basis for risk modeling.
The Three Pillars of Analysis: Understanding the Metrics
To fully understand market behavior, one must look at the relationship between an asset and a benchmark from three distinct mathematical angles. This indicator allows you to switch between these institutional metrics:
1. Pearson Correlation (Directional Alignment):
This is the classic measure of linear dependence, ranging from -1.0 to +1.0. Its primary value lies in identifying Regime Changes . When the correlation is high (above 0.8), the asset has lost its autonomy and is "locked" with the benchmark. When the correlation drops or turns negative, the asset is "decoupled." This mode is essential for hedging strategies. If you are long Bitcoin and short the Nasdaq to hedge, but their correlation drops to zero, your hedge has mathematically evaporated. This mode warns you of such structural breaks.
2. Beta Sensitivity (Volatility Adjusted Risk):
While Correlation asks "Are they moving together?", Beta asks "How violently are they moving together?". Beta adjusts the correlation by the relative volatility of the asset versus the benchmark. A Beta of 1.5 implies that for every 1% move in the S&P 500, the asset is statistically likely to move 1.5%. This is the single most important metric for Position Sizing . In high-beta regimes, you must reduce position size to maintain constant risk. This mode visualizes when an asset transitions from being a "Defensive Haven" (Beta < 1.0) to a "High Risk Vehicle" (Beta > 1.0).
3. Explained Variance / R-Squared (The Truth Serum):
This is the most advanced metric in the toolkit, rarely found in retail indicators. R-Squared ranges from 0% to 100% and answers the question of causality: "How much of the asset's price movement is purely explained by the movement of the benchmark?" If R2 is 85%, it mathematically proves that 85% of the price action is external noise driven by the market, and only 15% is driven by the asset's own news or chart pattern. Institutional traders use this to filter trades: They seek Low R-Squared environments for alpha generation (breakouts) and avoid High R-Squared environments where they would simply be trading the index with higher fees.
The Theory of "Invisible Gravity" and Macro Benchmarking
While comparing assets to the S&P 500 is standard, the theoretical value of this matrix expands significantly when utilizing Macro Benchmarks like US Treasury Yields (US10Y). According to Discounted Cash Flow (DCF) theory, the value of long-duration assets (like Tech Stocks or Crypto) is inversely related to the risk-free rate. By setting the benchmark to yields, this indicator makes this theoretical concept visible. A strong Negative Correlation confirms that asset appreciation is being driven by "cheap money" (falling yields). However, a sudden flip to Positive Correlation against yields signals a profound shift in market mechanics, often indicating that inflation fears are being replaced by growth fears or monetary debasement. This visualizes the "Denominator Effect" in real-time.
Visualizing Market Breadth and Internal Health
Beyond individual lines, the "Breadth Mode" aggregates the data into a histogram to diagnose the health of a trend. A healthy rally is supported by broad participation, meaning high correlation across risk assets. A dangerous, exhausted rally is characterized by Divergence : Price makes a new high, but the Correlation Breadth (the number of assets participating in the move) collapses. This is often the earliest warning signal of a liquidity withdrawal before a reversal occurs.
References
Markowitz, H. (1952). Portfolio Selection. The Journal of Finance.
Sharpe, W. F. (1964). Capital Asset Prices: A Theory of Market Equilibrium.
Hudson, R., & Gregoriou, A. (2015). Calculating and Comparing Security Returns: Logarithmic vs Simple Returns.
Disclaimer: This indicator is for educational purposes only. Past performance is not indicative of future results.
Journal Diario Manual [KEKG]📊 Daily Trading Journal – Manual Profit & Risk Tracker
This indicator is a clean, fully customizable daily trading journal designed to help traders manually track their performance directly on the chart.
✅ Features:
• Manual input for:
• Take Profits (TP)
• Stop Losses (SL)
• Total TP Pips
• Total SL Pips
• Automatic Profit (Pips) calculation:
• Shows + in green for positive results
• Shows − in red for negative results
• Customizable reset system:
• Reset by Day
• Reset by Week
• Manual reset
• Optional reset at a specific time (AM/PM)
• Each reset method can be turned ON or OFF
• Fully adjustable colors:
• Default TP color: #66BB6A
• Default SL color: #F23645
• Editable profit colors and panel background
• Movable panel position (any screen corner)
• Transparent background by default
• Clean, left-aligned professional layout
🎯 Purpose:
This tool is built for discipline, consistency, and performance tracking, helping traders stay aware of:
• Daily results
• Total risk
• Overall profitability
Perfect for Forex, Indices, Commodities, and Crypto traders who want a simple but powerful on-chart journal without automation or broker connection.
200 Week MA Extensions (Crypto Currently Strategy)Bitcoin 200 Week MA Extensions
The 200-week moving average has never been breached in Bitcoin's history, making it one of the most reliable indicators for identifying absolute market bottoms. This indicator plots the 200 Week MA along with percentage extensions above it to help identify potential cycle tops and key resistance levels during bull markets.
What is the 200 Week MA?
The 200-week simple moving average is the average closing price of Bitcoin over the past 200 weeks (approximately 3.8 years). It's a ultra-long-term trend indicator that:
Has never been broken to the downside in Bitcoin's entire history
Acts as the ultimate floor for Bitcoin price during bear markets
Rises steadily over time, reflecting Bitcoin's long-term growth trajectory
Moves slowly, making it a stable reference point for market cycles
Key Components:
200 Week MA - Blue Line (Base Level)
The foundation line that has historically marked absolute bottoms
Currently around $62,000 (and rising ~$500-800 per week)
Touching this level has historically represented generational buying opportunities
Last tested during the COVID crash (March 2020) and 2022 bear market
+50% Extension - Green Line (1.5x the 200 Week MA)
First major resistance zone above the base
Often acts as support during healthy bull market corrections
Historically a comfortable zone for accumulation in early bull markets
+100% Extension - Yellow Line (2.0x the 200 Week MA)
Double the 200 Week MA value
Represents a well-developed bull market
Often tested multiple times during mid-cycle consolidations
Can act as strong resistance when first approached
+150% Extension - Orange Line (2.5x the 200 Week MA)
Advanced bull market territory
Historically marks the acceleration phase of bull runs
Breaking above this level often signals euphoric market conditions approaching
+200% Extension - Red Line (3.0x the 200 Week MA)
Triple the 200 Week MA value
Extreme overextension zone
Historically near or beyond previous cycle tops
Suggests extreme caution and profit-taking considerations
Historical Context:
2020-2021 Bull Market:
March 2020: Price touched the 200 Week MA (~$5,000) - absolute bottom
Throughout 2020: Price traded between +50% and +100% extensions
Late 2020 - Early 2021: Price broke above +100%, accelerated to +150%
April 2021 & November 2021: Price reached +200% extension area, marking local/cycle tops
2022 Bear Market:
Price fell from +200% extension back toward the 200 Week MA
June 2022: Price came within 10% of the 200 Week MA ($18,000)
Bounce from near the 200 Week MA marked the bear market bottom
2023-2024 Recovery:
Price recovered from near 200 Week MA back through the extension levels
Each extension level acted as resistance, then support as bull market developed
Current position relative to extensions helps gauge cycle maturity
How to Use This Indicator:
For Long-Term Accumulation:
At 200 Week MA: Maximum conviction buying zone - historically has never failed
+0% to +50%: Excellent accumulation zone, low risk relative to reward
+50% to +100%: Good accumulation zone during bull market dips
Above +100%: Consider reducing accumulation, focus on holding or taking profits
For Profit Taking:
Approaching +100%: Consider taking initial profits (10-20% of position)
+100% to +150%: Take incremental profits as price advances
+150% to +200%: Increase profit-taking pace significantly
Above +200%: Maximum caution - historically unsustainable levels
For Risk Management:
Distance from 200 Week MA indicates market risk level
Further above = higher risk, more extended, closer to top
Closer to = lower risk, better value, closer to bottom
Use extensions as profit-taking targets in bull markets
Use extensions as re-entry targets during corrections
For Cycle Timing:
Bear Market: Price converges toward 200 Week MA
Early Bull: Price in +0% to +50% range, building base
Mid Bull: Price in +50% to +100% range, healthy growth
Late Bull: Price in +100% to +150% range, acceleration
Euphoric Top: Price at +150% to +200%+, extreme extension
Key Insights:
The 200 Week MA as Ultimate Support:
Bitcoin has touched or approached this level during every major bear market
It rises consistently (~$30,000 per year currently), creating a rising floor
Breaking below would be unprecedented and signal a fundamental market structure change
Provides enormous psychological and technical support
Extension Levels as Resistance/Support:
Bull markets often stall at each extension level before breaking through
Once broken, extensions often flip from resistance to support
Rejections from higher extensions can signal local or cycle tops
Corrections back to lower extensions offer re-entry opportunities
Diminishing Returns:
Each cycle's top has formed at progressively lower extension multiples
2013: ~10x the then-200WMA
2017: ~5x the then-200WMA
2021: ~3x the then-200WMA
Suggests future tops may not reach +200% extension (market maturation)
Best Practices:
Do:
Use the 200 Week MA as your ultimate risk-off level for long-term holdings
Scale into positions as price approaches the 200 Week MA
Take profits incrementally as price rises through extensions
View corrections back to lower extensions as opportunities
Combine with other on-chain metrics (MVRV, Realized Price) for confirmation
Don't:
Expect the 200 Week MA to provide perfect entry timing (you might be early)
Assume price will reach +200% extension every cycle
Sell all holdings at first extension level during bull markets
Ignore price action and volume when making decisions
Panic if price approaches the 200 Week MA (historically the best time to buy)
Why This Indicator Works:
The 200 Week MA represents nearly 4 years of price data, which:
Encompasses approximately one full Bitcoin halving cycle
Smooths out all short and medium-term volatility
Reflects Bitcoin's true long-term adoption and growth trend
Provides a slow-moving, stable reference that doesn't whipsaw
The extension levels work because:
They create objective profit-taking targets based on historical overextension
They account for the rising base (200 Week MA) over time
They've proven reliable across multiple market cycles
They help remove emotion from buy/sell decisions
Technical Notes:
Calculations performed on weekly timeframe data for consistency
The indicator displays correctly on any chart timeframe (Daily, 4H, etc.)
Uses lookahead_on to prevent repainting and show consistent historical values
All extension levels update automatically as the 200 Week MA rises
Best viewed on logarithmic scale for full historical perspective
Important Reminders:
Past performance does not guarantee future results - while the 200 Week MA has never been breached, future market conditions could differ
Market maturation - as Bitcoin matures, cycle dynamics may change
Black swan events - unexpected macro events could temporarily break historical patterns
Not financial advice - this is an educational tool, always do your own research
Recommended Usage:
Best Timeframes: Daily, Weekly, Monthly charts
Pair With: MVRV Ratio, Realized Price, Stock-to-Flow, Fear & Greed Index
Update Frequency: Weekly (the base 200 Week MA only changes weekly)
Chart Type: Logarithmic scale recommended for full historical view
Strategy Example:
Buy aggressively when price is within 20% of 200 Week MA
Hold and accumulate between 200WMA and +50% extension
Begin scaling out profits at +100% extension (20% of position)
Scale out more at +150% extension (40% of position)
Significant profit-taking at +200% extension (remaining position)
Wait for next cycle and repeat
This indicator provides a simple, objective, and historically reliable framework for navigating Bitcoin's market cycles. By respecting the 200 Week MA as the ultimate floor and using the extensions as profit-taking guides, investors can remove emotion and develop disciplined strategies for long-term success.
Relative Performance Analyzer [AstrideUnicorn]Relative Performance Analyzer (RPA) is a performance analysis tool inspired by the data comparison features found in professional trading terminals. The RPA replicates the analytical approach used by portfolio managers and institutional analysts who routinely compare multiple securities or other types of data to identify relative strength opportunities, make allocation decisions, choose the most optimal investment from several alternatives, and much more.
Key Features:
Multi-Symbol Comparison: Track up to 5 different symbols simultaneously across any asset class or dataset
Two Performance Calculation Methods: Choose between percentage returns or risk-adjusted returns
Interactive Analysis: Drag the start date line on the chart or manually choose the start date in the settings
Professional Visualization: High-contrast color scheme designed for both dark and light chart themes
Live Performance Table: Real-time display of current return values sorted from the top to the worst performers
Practical Use Cases:
ETF Selection: Compare similar ETFs (e.g., SPY vs IVV vs VOO) to identify the most efficient investment
Sector Rotation: Analyze which sectors are showing relative strength for strategic allocation
Competitive Analysis: Compare companies within the same industry to identify leaders (e.g., APPLE vs SAMSUNG vs XIAOMI)
Cross-Asset Allocation: Evaluate performance across stocks, bonds, commodities, and currencies to guide portfolio rebalancing
Risk-Adjusted Decisions: Use risk-adjusted performance to find investments with the best returns per unit of risk
Example Scenarios:
Analyze whether tech stocks are outperforming the broader market by comparing XLK to SPY
Evaluate which emerging market ETF (EEM vs VWO) has provided better risk-adjusted returns over the past year
HOW DOES IT WORK
The indicator calculates and visualizes performance from a user-defined starting point using two methodologies:
Percentage Returns: Standard total return calculation showing percentage change from the start date
Risk-Adjusted Returns: Cumulative returns divided by the volatility (standard deviation), providing insight into the efficiency of performance. An expanding window is used to calculate the volatility, ensuring accurate risk-adjusted comparisons throughout the analysis period.
HOW TO USE
Setup Your Comparison: Enable up to 5 assets and input their symbols in the settings
Set Analysis Period: When you first launch the indicator, select the start date by clicking on the price chart. The vertical start date line will appear. Drag it on the chart or manually input a specific date to change the start date.
Choose Return Type: Select between percentage or risk-adjusted returns based on your analysis needs
Interpret Results
Use the real-time table for precise current values
SETTINGS
Assets 1-5: Toggle on/off and input symbols for comparison (stocks, ETFs, indices, forex, crypto, fundamental data, etc.)
Start Date: Set the initial point for return calculations (drag on chart or input manually)
Return Type: Choose between "Percentage" or "Risk-Adjusted" performance.
Technology Stocks RSPSTechnology Stocks RSPS Indicator - TradingView Description
Overview
The Technology Stocks RSPS (Relative Strength Portfolio System) indicator is a sophisticated portfolio allocation tool designed specifically for technology sector stocks. It calculates relative strength positions and provides dynamic allocation recommendations based on technical price momentum analysis.
Key Features
- Relative Strength Analysis: Compares 15 major technology stocks and the XLK sector ETF
against each other and gold as a baseline
- Dynamic Portfolio Allocation: Automatically calculates optimal position sizes based on relative
performance
- Visual Portfolio Performance: Tracks cumulative portfolio returns with color-coded
performance indicators
- Customizable Table Display: Shows real-time allocation percentages and optional cash values
for each position
- Technical Momentum Filtering: Uses normalized indicators to identify strength and filter out
weak positions
Included Assets
Sector ETF: XLK
Major Tech Stocks: AAPL, MSFT, NVDA, AVGO, CRM, ORCL, CSCO, ADBE, ACN, AMD, IBM, INTC, NOW, TXN
Benchmark: Gold (TVC:GOLD)
How It Works
The indicator calculates a relative strength score for each asset by comparing it against:
Gold (baseline commodity)
All other technology stocks in the pool
The XLK sector ETF
Assets with positive relative strength receive portfolio allocations proportional to their strength scores. Weak or negative performers are automatically filtered out (allocated 0%).
Visual Elements
Red Area: Aggregate strength of major technology stocks
Navy Blue Area: Overall technical positioning index (TPI)
Performance Line: Cumulative portfolio return (blue = cash-heavy, red = equity-heavy)
Allocation Table: Bottom-left display showing current recommended positions
Important Limitations
This indicator primarily uses technical data and has significant limitations:
❌ No fundamental economic data (ISM, CLI, etc.)
❌ Limited monetary data - missing critical components:
comprehensive monetary data
Funding rates
Detailed bond spreads analysis
Collateral data
❌ No sentiment indicators
❌ No options flow or derivatives data
❌ No earnings or valuation metrics
The indicator focuses purely on price-based relative strength and technical momentum. Users should combine this tool with fundamental analysis, economic data, and proper risk management for complete investment decisions.
Settings
Plot Table: Toggle allocation table visibility
Use Cash: Enable to display dollar amounts based on portfolio size
Cash Amount: Set your total portfolio value for cash allocation calculations
Use Cases
Sector rotation within technology stocks
Relative strength-based portfolio rebalancing
Technical momentum screening for tech sector
Dynamic position sizing based on price trends
Technical Notes
The script avoids for-loops to reduce calculation errors and noise
Uses semi-individual calculations for each asset
Requires the Unicorpus/NormalizedIndicators/1 library for normalized momentum calculations
Maximum lookback: 100 bars
Disclaimer: This indicator is a technical tool only and should not be used as the sole basis for investment decisions. It does not incorporate fundamental, economic, or comprehensive monetary data. Always conduct thorough research and consider your risk tolerance before making investment decisions.
AbundanceThis tool is purpose-built for the Indian market landscape.
Tailored for dedicated long-term market participants, this indicator assists with investment decisions in both shares and ETFs. The script harnesses a blend of technical elements—Super Trend, RSI, multiple EMAs, and their dynamic relationships (for example, a 50 EMA positioned above 200 EMA indicates bullish momentum).
Through actionable notifications and buy cues on daily charts, the indicator supports anyone aiming to build a resilient portfolio. The indicator caters both high risk and risk averse investors.
Every mechanism is intended to deliver an actionable perspective, ensuring a comprehensive approach for those seeking effective capital growth.
Designed specifically for the daily timeframe , this indicator places buy signals as color-coded arrows exclusively on daily candles.
The tool functions as an all-inclusive solution for both stock and ETF investors, applying tailored accumulation logic to each asset category.
Some context of the Indicator used and what they imply:
• 50 EMA (Daily) – Measures intermediate trends
• 200 EMA (Daily) – Gauges long-term direction
• Daily timeframe – Identifies short-term movement
• Weekly timeframe – Assesses intermediate perspective
• Monthly timeframe – Reveals long-term context
ETF Module
ETF Selection Logic: The script implements explicit screening for ETFs, allowing users to operate with greater nuance through four unique accumulation intensity levels.
• Purple Arrow: Signals mild accumulation opportunities for aggressive dip-buyers—triggered when the 50 EMA is above the 200 EMA (i.e., uptrend), daily RSI drops below 40, the ETF price closes between the two EMAs, and weekly RSI remains above 50. If weekly RSI fails this threshold, signals are withheld to maintain trend integrity.
• Green Arrow: Indicates moderate accumulation, appearing in downtrends (200 EMA above 50 EMA) when daily RSI is in the oversold area and the price dips below 200 EMA.
• Blue Arrow: Represents strong accumulation. Both daily and weekly RSIs fall below 40 and the script’s close is under 200 EMA. Optimized for patient investors looking to accumulate during medium-term weakness.
• Red Arrow: Marks rare, very strong accumulation zones. RSIs across daily, weekly, and monthly timeframes must all read oversold with the price below 200 EMA, signifying potential long-term undervaluation but also substantial weakness. Patience is vital, as recovery may require extended periods.
Stock Module
Ideal for application on stocks within the Nifty 200—a universe proven through liquidity and market record. Stock accumulation signals come in two calibrated levels:
• Level 1 – Purple Arrow (early, mild accumulation): Suited for investors who have missed prior reversal zones or want additional entries in ongoing uptrends. Requires weekly and monthly RSI values above 50—i.e., no medium or long-term weakness. Accumulation signals occur when the stock trades below its 50 EMA but above its 200 EMA (with 50 EMA above 200 EMA indicating a healthy uptrend), and ADX reads below 22 (confirming the decline is not part of an accelerating downtrend).
• Level 2 – High conviction, Potential Reversal: Designed for risk-averse users, this level targets stocks that have corrected significantly and approach the 200 EMA on daily charts. Accumulation is triggered only when short-term downtrends reverse (Super Trend indicator shifts from red to green). Orange upward triangles serve as a preparatory signal for anticipated reversals, while green upward triangles mark confirmed buy events. If Super Trend returns to red after an alert but before a buy, the sequence is invalidated, limiting false signals.
All signals aim to provide precise market timing without exposing conservative investors to unnecessary risk.
Arrow colors are visually summarized on the right panel for constant reference for both ETFs and Stocks.
2s10s Bull/Bear Steepener/Flattener (Intraday bars)A simple indicator that tracks the curve of the US2y and US10y
Marcaj Ore 07:00 și 18:00 (Stabil v2)For backtesting and remember times that you can be active in the market.
[GetSparx] Nova Pro⚡ Nova Pro – Position Calculator
This indicator is a user-friendly TradingView indicator designed to help traders plan and visualize their entry and exit points, calculate position sizing, and instantly display key risk metrics. By simply entering three price levels (Entry, Take Profit and Stop Loss) along with a risk amount in USD, the indicator draws color-coded lines and labels on the chart, and generates a concise table with all computed values. This allows you to assess the risk-reward profile of any trade at a glance, without performing manual calculations.
⚙️ How It Works
When the indicator is added to the chart it will ask to specify the price inputs and the risk amount in USD.
Price Inputs (Entry, TP, SL)
• You specify three price levels: the entry price, the profit target (Take Profit) and the loss threshold (Stop Loss).
• Inputs use TradingView’s native price-picker fields. Any change is immediately reflected on the chart.
Visual Display
• Each level is plotted as a line stretching into the future for enough room.
• Labels on the right show the exact price, color-coded: orange for Entry, green for TP and red for SL.
• Previous lines and labels are automatically removed when parameters change, ensuring the chart remains clean.
Risk Calculations
• The entered risk amount (in USD) is combined with the distance between Entry and SL to compute the optimal number of units (Qty) to trade.
• The script automatically detects whether it’s a long or short trade based on the relative positions of Entry and TP.
• Note that the risk and reward calculations do not factor in exchange fees, slippage, funding rates or any other trading costs. Actual profit and loss may differ once transaction fees and market execution variances are applied, so be sure to adjust your position sizing and expectations accordingly.
🎯 What You Can Do With It
• Consistent Position Sizing
Automate your position size so you consistently risk the same dollar amount, regardless of price volatility or stop distance.
• Clear Risk Management
Instantly view your Reward-to-Risk ratio, potential profit in USD and exact risk amount, so you make well-informed decisions.
• Rapid Scenario Analysis
Adjust TP, SL or Entry on the fly to see how each change affects your potential profit, loss and RR ratio.
• Publication-Ready Charts
The visual elements and integrated table are optimized for TradingView publications, giving your analysis a professional, polished look.
📊 Explanation of Table Values
• Entry
Calculation: rounded to the nearest tick of your entered entry price.
Marks the exact level at which you initiate the trade and serves as the reference point for all further risk and reward calculations.
• Quantity (Qty)
Calculation: Risk USD ÷ (Entry − Stop Loss).
Determines how many units, contracts or shares to trade so that a stop-out at your SL equals exactly your predefined dollar risk, resulting in consistent per-trade exposure.
• Risk to Reward (RR)
Calculation: (Take Profit − Entry) ÷ (Entry − Stop Loss).
Expresses how many dollars of potential profit you target for each dollar you risk. Values above 1 mean the reward exceeds the risk, guiding you to favorable setups.
• Take Profit (TP)
Calculation: rounded to the nearest tick of your entered take-profit price.
Your target exit level for booking gains, highlighted in green on the chart. Shows where you plan to capture profits if the market moves in your favor.
• Profit
Calculation: Qty × (Take Profit − Entry).
Gives the absolute potential gain in USD if price reaches your TP. Useful for comparing total return across different instruments or setups.
• Stop Loss (SL)
Calculation: rounded to the nearest tick of your entered stop-loss price.
The level at which your trade is automatically closed to cap losses, highlighted in red on the chart. Ensures you never lose more than your defined risk amount.
• Risk
Calculation: equals the entered Risk USD.
The maximum dollar amount you’re willing to lose on this trade. Acts as the upper boundary for your exposure, keeping your position sizing disciplined.
📝 Examples
• Long Example 1: Bitcoin/USD
Entry: $11851.1
Take Profit: $123853.9
Stop Loss: $115467.7
Risk USD: $500
The Risk to Reward ratio results in 2.25, which means the reward exceeds the risk.
For each dollar you risk, this setup has potential gains of 2.25 dollars.
• Long Example 2: Algorand/USD
Entry: $0.2919
Take Profit: $0.3491
Stop Loss: $0.2655
Risk USD: $1000
The Risk to Reward ratio on this trade results in 2.17 and has a potential profit target of $2166.67. With a risk of $1000 USD the table conveniently shows a quantity of 37878 ALGO is needed for the trade.
• Short Example 1: Forex EUR/USD
Entry: $1.16666
Take Profit: $1.15459
Stop Loss: $1.17374
Risk USD: $200
With a risk of $200 USD and a RR of 2.17, this example shows how a short trade can be accomplished on EUR/USD.
• Short Example 2: Gold
Entry: $3366.29
Take Profit: $3272.01
Stop Loss: $3386.87
Risk USD: $1500
Within this short setup a risk of $1500 USD is used, which results in a RR of 4.58. The potential profit for this trade is $6871.72.
⚠ Disclaimer
This tool is for educational and analytical use only. It does not provide financial advice or trading signals. Always use proper risk management and do your own due diligence.
BTST Stats BTST Statistical Edge Analyzer — VCR · Volume · SMA · RSI Filtered
This indicator isn’t a trading signal generator.
It’s a research framework designed to answer a simple but valuable question:
“Does Buy-Today-Sell-Tomorrow (BTST) have statistical edge under specific market conditions?”
Most traders assume BTST works because they feel markets gap.
This script measures whether that belief holds true — and under what filters.
🔍 What the Indicator Does
For each bar, the script simulates a BTST trade:
Entry: previous bar’s close
Exit: current bar’s open
Result: Open(next day) − Close(previous day)
But a BTST trade is only counted if the entry bar satisfies the filter logic.
🎯 Entry Filters You Can Tune
A trade is included only if ALL activated conditions are satisfied:
Filter Rule
VCR Filter Candle volatility ratio must exceed threshold: `(High−Low) /
Volume Filter Volume must be greater than n × AverageVolume
SMA Trend Filter (Optional) Close must be above a user-selected SMA length
RSI Condition (Optional) RSI must be between a user-defined min/max band
This allows testing BTST under different volatility, trend, and momentum conditions.
📊 What the Table Shows
For all qualifying trades inside the chosen lookback window, the indicator displays:
Metric Meaning
Profitable Trades Count of BTST trades with positive overnight return
Losing Trades Count of negative overnight returns
Avg Profit Average upside gain on winner trades
Avg Loss Average downside loss on losing trades
Avg Net per Trade Overall expectancy across all trades
Avg High After Entry Average maximum price movement above entry (potential upside)
Avg Low After Entry Average price movement against the entry (risk exposure)
Winner-Only High/Low Stats How far good trades move and how much heat they take
Loser-Only High/Low Stats How bad trades behave, including early fake-outs
Together, these reveal:
Opportunity potential
Risk exposure
Whether trades behave cleanly or chaotically
Whether exits are leaving money on the table
🧠 Why This Matters
BTST edges change drastically across:
Market regimes
Trend direction
Volatility clusters
Earnings cycles
Volume surges
This tool helps identify when BTST should be traded — and when it should be avoided entirely.
Rather than guessing, traders can:
Validate if their BTST assumptions hold,
Apply filters until the expectancy improves,
Rank symbols and conditions where the system performs best.
🚫 Not a Buy/Sell Indicator
This script does not place arrows, signals, alerts, or entries.
It exists for analysis and system development, not live execution.
Use it to:
Build ideas
Validate hypotheses
Compare symbols
Optimize BTST frameworks
Decide if BTST belongs in your playbook — or in the trash
🔧 Who This Is For
✔ System traders
✔ Quant-minded traders
✔ Options/Index traders who rely on gaps
✔ Swing traders testing overnight holds
✔ Developers building automated BTST logic
Final Thought
BTST isn’t magic — it’s just a behavior pattern.
Some markets reward it.
Some punish it.
Some reward it only under the right volatility and volume conditions.
This tool tells you which is which.
Macro Risk Trinity [OAS|VIX|MOVE]The Obsolescence of Single-Metric Risk Models
For decades, the CBOE VIX served as the undisputed "fear gauge" of Wall Street. However, the modern financial market structure has evolved to a point where relying on a single univariate indicator is not only insufficient but potentially dangerous. Two structural shifts have fundamentally altered the predictive power of the VIX:
The 0DTE Blind Spot: The VIX calculates implied volatility based on options expiring in 23 to 37 days. Today, massive institutional hedging flows occur intraday via 0DTE (Zero Days to Expiration) options. This creates a "Gamma Suppression" effect: Market makers hedging these short-term flows often dampen realized volatility intraday, effectively bypassing the VIX calculation window. This leads to a suppression of the index, masking risk even during fragile market phases (Bandi et al., 2023).
Goodhart’s Law: "When a measure becomes a target, it ceases to be a good measure." Because algorithmic volatility targeting strategies and risk-parity funds use the VIX as a mechanical trigger to deleverage, market participants have developed an incentive to suppress implied volatility via short-volatility strategies to prevent triggering cascading margin calls.
The Theoretical Framework: Why this Model Works
To accurately navigate this complex environment, the Macro Risk Trinity moves beyond simple price action. It employs a multivariate analysis of the financial system's three core pillars: Rates, Credit, and Equity. The logic is derived from three specific areas of financial research:
1. The Origin of Shock: Volatility Spillover Theory
Macroeconomic shocks typically do not start in the stock market; they originate in the US Treasury market. The MOVE Index acts as the "VIX for Bonds." Research by Choi et al. (2022) demonstrates that bond variance risk premiums are a leading indicator for equity distress. Since the "Risk-Free Rate" is the denominator in every Discounted Cash Flow (DCF) model, instability here forces a repricing of all risk assets downstream.
2. The Foundation: Structural Credit Models (Merton)
While stock prices are often driven by sentiment and liquidity, corporate bond spreads ( High Yield Option Adjusted Spread ) are driven by balance sheets and math. Based on the seminal Merton Model (1974), equity can be viewed as a call option on a firm's assets, while debt carries a short put option risk.
The Thesis: If the VIX (Equity) is low, but OAS (Credit) is widening, a divergence occurs. Mathematically, credit spreads cannot widen indefinitely without eventually pulling equity valuations down. This indicator identifies that specific divergence.
3. The Fragility: Knightian Uncertainty
By monitoring the VVIX (Volatility of Volatility), we detect demand for tail-risk protection. When the VIX is suppressed (low) but VVIX is rising, it signals that "Smart Money" is buying Out-of-the-Money crash protection despite calm waters. This is often a precursor to liquidity events where the VIX "uncoils" violently.
The Solution: Dual Z-Score Normalization
You cannot simply overlay the VIX (an index) with a Credit Spread (a percentage). To make them comparable, this script utilizes a Dual Z-Score Engine.
It calculates the statistical deviation from both a Fast (Quarterly/63-day) and a Slow (Yearly/252-day) mean. This standardizes all data into a single "Stress Unit," allowing us to see exactly when Credit Stress exceeds Equity Fear.
Decoding the Macro Regimes
The indicator aggregates these data streams to visualize the current market regime via the chart's background color:
Systemic Shock (Red Background): The critical convergence. Both Credit Spreads (Solvency) and Equity Volatility (Fear) spike simultaneously beyond extreme statistical thresholds (> 2.0 Sigma). Correlations approach 1, and liquidity evaporates.
Macro Risk / Rates Shock (Yellow Background): Equities are calm, but the MOVE Index is panicking. A warning signal from the plumbing of the financial system regarding inflation or Fed policy errors.
Credit Stress (Maroon Background): The "Silent Killer." The VIX is low (often suppressed), but Credit Spreads (OAS) are widening. This signals a deterioration of the real economy ("Slow Bleed") while the stock market is in denial.
Structural Fragility (Purple Background): VIX is low, but VVIX is rising. A sign of excessive leverage and "Volmageddon" risk (Gamma Squeeze).
Bull Cycle (Green Background): The "Buy the Dip" signal. Even if prices fall and VIX spikes, the background remains green as long as Corporate Credit (OAS) remains stable. This indicates the sell-off is technical, not fundamental.
Technical Specifications
Engineered for the Daily (1D) timeframe.
Institutional Lookbacks: 63 Days (Quarterly) / 252 Days (Yearly).
OAS Lag Buffer: Includes logic to handle the ~24h reporting delay of Federal Reserve (FRED) data to prevent signal flickering.
Scientific Bibliography
This tool is not based on heuristics but on peer-reviewed financial literature:
Bandi, F. M., et al. (2023). The spectral properties of 0DTE options and their impact on VIX. Journal of Econometrics.
Choi, J., Mueller, P., & Vedolin, A. (2022). Bond Variance Risk Premiums. Review of Finance.
Cremers, M., et al. (2008). Explaining the Level and Time-Variation of Credit Spreads. Review of Financial Studies.
Griffin, J. M., & Shams, A. (2018). Manipulation in the VIX? The Review of Financial Studies.
Merton, R. C. (1974). On the Pricing of Corporate Debt. The Journal of Finance.
Author's Note: The Reality of Markets & Overfitting
While this tool is built on robust academic principles, we must address the reality of quantitative modeling: There is no Holy Grail.
This indicator relies on Z-Scores, which assume that future volatility distributions will somewhat resemble the past (Mean Reversion). In data science, calibrating lookback periods (like 63/252 days) always carries a risk of Overfitting to past cycles.
Markets are adaptive systems. If the correlation between Credit Spreads and Equity Volatility breaks (e.g., due to massive fiscal intervention/QE or new derivative products), signals may temporarily diverge. This tool is designed to identify stress, not to predict the future price. It will rhyme with the market, but it will not always repeat it perfectly.
Use it as a compass to gauge the environment, not as an autopilot for your trading.
Use responsibly and always manage your risk.
Disclaimer: This indicator relies on external data feeds from FRED and CBOE. Data availability is subject to TradingView providers.
Position Sizer (FinPip)Position Sizer (FinPip)
The Position Sizer (FinPip) indicator is a crucial, all-in-one risk management tool designed to calculate the precise trade size required to limit your risk to a predetermined percentage of your total account capital.
This indicator helps you consistently execute sound risk management, regardless of the instrument's volatility or the trade's price levels.
Key Features:
Calculates Position Size: Based on your configurable Account Capital, desired Risk Percentage (default 2.5%), and the price distance between your Entry and Stop-Loss levels.
Visual Trade Planning: Plots three clear levels directly on the chart for easy visualization:
Entry Price (Blue)
Stop-Loss Price (SL) (Red)
Profit Target (Lime Green, calculated using the Reward:Risk Ratio).
Custom Risk Management: Easily adjust the Risk Percentage and the Reward:Risk Ratio (default 4.0) in the indicator's settings.
Heads-Up Display (HUD): A clean, fixed table in the bottom-left corner of the chart clearly displays all calculated metrics, including your Required Position Size (in units/shares/contracts), Risk Amount, and Potential Profit.
How to Use:
Enter your Account Capital and desired Risk % in the settings panel.
Set your desired Entry Price and Stop-Loss Price.
The indicator immediately calculates and displays the exact number of units you need to trade to maintain your risk limit.
The Position Sizer (FinPip)The Position Sizer (FinPip) indicator is a crucial, all-in-one risk management tool designed to calculate the precise trade size required to limit your risk to a predetermined percentage of your total account capital.
This indicator helps you consistently execute sound risk management, regardless of the instrument's volatility or the trade's price levels.
Key Features:
Calculates Position Size: Based on your configurable Account Capital, desired Risk Percentage (default 2.5%), and the price distance between your Entry and Stop-Loss levels.
Visual Trade Planning: Plots three clear levels directly on the chart for easy visualization:
Entry Price (Blue)
Stop-Loss Price (SL) (Red)
Profit Target (Lime Green, calculated using the Reward:Risk Ratio).
Custom Risk Management: Easily adjust the Risk Percentage and the Reward:Risk Ratio (default 4.0) in the indicator's settings.
Heads-Up Display (HUD): A clean, fixed table in the bottom-left corner of the chart clearly displays all calculated metrics, including your Required Position Size (in units/shares/contracts), Risk Amount, and Potential Profit.
How to Use:
Enter your Account Capital and desired Risk % in the settings panel.
Set your desired Entry Price and Stop-Loss Price.
The indicator immediately calculates and displays the exact number of units you need to trade to maintain your risk limit.
Position Sizer (FinPip)The Position Sizer (FinPip) indicator is a crucial, all-in-one risk management tool designed to calculate the precise trade size required to limit your risk to a predetermined percentage of your total account capital.
This indicator helps you consistently execute sound risk management, regardless of the instrument's volatility or the trade's price levels.
Key Features:
Calculates Position Size: Based on your configurable Account Capital, desired Risk Percentage (default 2.5%), and the price distance between your Entry and Stop-Loss levels.
Visual Trade Planning: Plots three clear levels directly on the chart for easy visualization:
Entry Price (Blue)
Stop-Loss Price (SL) (Red)
Profit Target (Lime Green, calculated using the Reward:Risk Ratio).
Custom Risk Management: Easily adjust the Risk Percentage and the Reward:Risk Ratio (default 4.0) in the indicator's settings.
Heads-Up Display (HUD): A clean, fixed table in the bottom-left corner of the chart clearly displays all calculated metrics, including your Required Position Size (in units/shares/contracts), Risk Amount, and Potential Profit.
How to Use:
Enter your Account Capital and desired Risk % in the settings panel.
Set your desired Entry Price and Stop-Loss Price.
The indicator immediately calculates and displays the exact number of units you need to trade to maintain your risk limit.
