COT Category Screener [invincible3]COT Category Screener — Participant Select
The COT Category Screener is a professional Commitment of Traders dashboard designed to compare positioning across multiple futures markets from one compact table.
It uses Legacy COT data and allows traders to analyze either Non-Commercial or Commercial participants. Every displayed metric—including net positioning, historical indices, score, bias, ranking, and weekly history—automatically adapts to the selected participant.
MARKET CATEGORIES
The screener supports the following groups:
• Metals
• Energy
• Grains & Oilseeds
• Soft Commodities
• Livestock
• Equity Indices
• Cryptocurrencies
• Major Currencies
• Emerging-Market Currencies
Depending on the selected category, the dashboard compares up to eight markets simultaneously.
PARTICIPANT SELECTION
Choose between:
Non-Commercial
Primarily reflects speculative positioning from large traders such as funds and institutional market participants.
Commercial
Reflects the positioning stance of commercial participants and hedgers.
Commercial mode represents the Commercial participant-side perspective . It should not automatically be interpreted as a contrarian market signal.
When Commercial and Non-Commercial positioning spreads are symmetrical, their displayed scores and bias states will naturally appear opposite.
DASHBOARD METRICS
OI — Open Interest
Displays the total number of outstanding contracts reported for the selected market.
NET — Net Position
Calculated as:
Long Positions − Short Positions
A positive value indicates net-long positioning, while a negative value indicates net-short positioning.
ΔNET — Weekly Net Change
Measures the change in the selected participant’s net position compared with the previous COT report.
It helps identify whether participants are:
• Adding long exposure
• Reducing long exposure
• Adding short exposure
• Covering short exposure
L% and S%
Displays the selected participant’s long and short positions as a percentage of total open interest.
FLIP%
Calculated as:
Long% − Short%
A positive Flip% indicates stronger long exposure, while a negative Flip% indicates stronger short exposure.
HISTORICAL DIFFERENCE MODEL
The screener calculates the historical position of the spread between the selected participant and the opposite participant over three report windows:
• D13 — 13-report difference index
• D26 — 26-report difference index
• D52 — 52-report difference index
These values range from 0 to 100.
In the screener’s model:
• Lower Difference values contribute to a more bullish score.
• Higher Difference values contribute to a more bearish score.
The three windows are weighted as follows:
• D13: 20%
• D26: 30%
• D52: 50%
The longer-term D52 component therefore carries the greatest influence.
COT POSITION INDICES
I52
Shows the selected participant’s current net position relative to its historical range over the previous 52 reports.
I3Y
Shows the same relative position over 156 reports, approximately three years of weekly COT history.
Values near 0 indicate positioning near the lower end of the historical range.
Values near 100 indicate positioning near the upper end of the historical range.
These indices describe historical positioning extremes and should be interpreted together with the participant type, Difference readings, weekly net change, and overall bias.
COMPOSITE SCORE
The screener converts the weighted D13, D26, and D52 readings into a normalized score ranging from:
• +100 — Strong bullish positioning setup
• 0 — Neutral or mixed positioning
• −100 — Strong bearish positioning setup
The score is designed for relative comparison and ranking across markets within the selected category.
BIAS STATES
▲ BUY
Positioning has reached a potential bottom-zone setup.
This identifies an extreme condition, but it does not confirm that positioning has already reversed.
↗ BULL TURN
Short- and medium-term positioning has begun turning upward from a bullish extreme.
▲ LONG BUILD
A bullish turn is supported by a positive weekly change in net positioning, indicating that the selected participant is actively building long exposure.
▲ LONG BIAS
Positioning remains within the bullish side of the model, although a fresh turning condition is not present.
↘ LONG UNWIND
The broader positioning structure remains bullish, but net exposure declined during the latest report.
↗ SHORT COVER
The broader structure remains bearish, but net positioning increased, suggesting that short exposure may be reducing.
▼ SHORT BIAS
Positioning remains within the bearish side of the model without a newly confirmed bearish turn.
◇ TOP RISK
Positioning has reached a potential upper-zone or overcrowded extreme.
This is a risk condition rather than an immediate sell confirmation.
↘ BEAR TURN
Short- and medium-term positioning has begun turning downward from a bearish extreme.
▼ SHORT BUILD
A bearish turn is supported by a negative weekly change in net positioning, indicating active short-position accumulation or long-position reduction.
• NEUTRAL
Positioning is mixed and does not meet the defined bullish or bearish thresholds.
— NO DATA
Sufficient historical COT observations are not yet available for the selected calculation.
WEEKLY POSITIONING HISTORY
The final column displays a compact 10–15 week Flip% sparkline .
Each vertical character represents one COT reporting week:
• The oldest report appears on the left.
• The most recent report appears on the right.
• Taller bars represent stronger relative Flip% readings.
The history can be normalized independently for each market or displayed using a fixed percentage range.
Hover over the history cell to view the underlying weekly values.
SORTING OPTIONS
Markets can be arranged by:
• Category Order
• Bullish → Bearish
• Bearish → Bullish
• Strongest Extreme
This makes it easier to identify the strongest relative opportunities or risks within a market group.
VISUAL DESIGN
The dashboard uses neutral table surfaces with value-colored typography rather than full-cell heatmap coloring.
It automatically adapts to light and dark chart themes and includes detailed hover tooltips for:
• CFTC market codes
• Raw positioning values
• Difference readings
• Historical indices
• Composite scores
• Bias calculations
• Weekly Flip% history
DATA OPTIONS
The user can select between:
• Futures Only
• Futures and Options Combined
All calculations are based on weekly COT reports and are not intended to represent real-time positioning.
SUGGESTED USE
This screener is designed for:
• Identifying historically crowded positioning
• Comparing related futures markets
• Detecting positioning accumulation or distribution
• Monitoring speculative and commercial behavior separately
• Locating potential medium-term bottom or top setups
• Confirming broader macro or price-action analysis
COT positioning is generally more suitable for contextual and medium-term analysis than precise entry timing.
Signals should be combined with price structure, trend, momentum, volatility, and appropriate risk-management rules.
DISCLAIMER
This indicator is an analytical tool and does not constitute financial advice.
Historical positioning extremes do not guarantee a market reversal or continuation.
Indicator
Pakistan Macro Dashboard [invincible3] Pakistan Macro Dashboard
Pakistan Macro Dashboard is a macroeconomic cycle oscillator and dashboard designed to analyze Pakistan’s equity-market environment using policy-rate, inflation, currency, liquidity, external-balance, commodity, and KSE100 trend conditions.
The core oscillator focuses on Pakistan’s monetary cycle. It uses the Pakistan policy rate, its cumulative historical mean, inflation trend, inflation level, and real-rate balance to create a macro score from 0 to 100. Higher values suggest improving liquidity and a more supportive equity backdrop, while lower values suggest restrictive conditions and elevated macro pressure.
A key feature of this indicator is the policy-rate cycle background. The background color is based on the relationship between the current Pakistan policy rate and its cumulative mean:
Red background: policy rate is above its mean and rising, indicating restrictive tightening.
Orange background: policy rate is above its mean but falling, indicating early easing or potential recovery.
Green background: policy rate is below its mean and falling, indicating liquidity expansion.
Yellow background: policy rate is below its mean but rising, indicating early tightening or late-cycle caution.
The oscillator pane also includes optional curves for the macro oscillator, policy rate, cumulative mean policy rate, and inflation rate. Users can independently enable or disable each curve, each label, the background cycle color, and the horizontal risk levels.
The dashboard is displayed on the main chart and provides a structured macro view of Pakistan’s market conditions. It includes policy and inflation readings, real rates, GDP growth, unemployment, USD/PKR, FX reserves, current account, trade balance, remittances, external debt, Brent oil, DXY, emerging-market risk, gold, KSE100 trend, RSI, and sector tilt readings.
The table is divided into two parallel panels:
Left panel: policy cycle, core macro, growth, liquidity, FX view, inflation action, sector tilt, and final PSX bias.
Right panel: external pressure, global commodity pressure, KSE100 trend, and sector read.
The scoring system uses a simple green/yellow/orange/red color structure:
Green: supportive or improving conditions.
Yellow: neutral, mixed, or transition phase.
Orange: caution or pressure building.
Red: high macro risk or unfavorable condition.
This tool is designed for top-down macro analysis of the Pakistan equity market. It can help traders and investors understand whether the broader environment is supportive, neutral, or defensive before evaluating individual stocks or sectors.
Important: This indicator is for educational and analytical use only. It is not financial advice and should not be used as a standalone buy or sell signal. Users should combine it with price action, market structure, risk management, and their own independent analysis.
Indicator
Stocks: Financial Summary [invincible3]Stocks: Financial Summary
Stocks: Financial Summary is a compact fundamental dashboard designed to visualize a company’s key financial statements directly on the PulseWire chart.
The indicator displays three major financial sections:
Income Statement
Revenue, Gross Profit, EBIT or Operating Income, Pretax Income, and Net Income.
Balance Sheet
Total Assets, Total Liabilities, and Shareholders’ Equity.
Cash Flow
Cash Flow from Operations, Cash Flow from Investing, Cash Flow from Financing, and Free Cash Flow.
The dashboard is drawn on the right side of the chart using a clean multi-panel bar-chart layout. It allows traders and investors to quickly compare historical yearly or quarterly financial data without leaving the price chart.
Key Features
* Supports Yearly and Quarterly financial views.
* Optional TTM display for Income Statement and Cash Flow.
* Visual comparison of historical financial periods.
* Auto unit formatting: Raw, K, M, B, and T.
* Customizable dashboard position, spacing, bar width, colors, and transparency.
* Right-side layout designed to keep the price chart readable.
* Uses actual PulseWire financial data through `request.financial()`.
* Includes manual fiscal year and quarter override options when exchange reporting labels need adjustment.
This tool is designed for fundamental analysis, long-term stock screening, and quick financial statement comparison. It can help users visually inspect whether a company’s revenue, profitability, assets, liabilities, cash flow, and free cash flow are improving or weakening over time.
This indicator is for educational and informational purposes only. It is not financial advice.
Indicator
Adaptive Regime Compass MovingAverage SuiteSummary in one paragraph
Regime Compass Adaptive MA Suite is a three speed adaptive moving average indicator for liquid markets on intraday through daily charts. It helps you act only when price position, MA stack structure, reliability, and higher timeframe context align. It is original because it fuses robust outlier handling with efficiency driven adaptive smoothing, then compresses multi timeframe confirmation into a single compact panel plus directional reliability shading.
Scope and intent
• Markets. Major FX pairs, index futures, large cap equities, liquid crypto, and liquid commodities
• Timeframes. One minute through daily
• Default demo used in the publication.SPY 1h
• Purpose. Provide a practical trend context layer that adapts to regime and reduces false confidence during chop by exposing a reliability score and multi timeframe agreement
• Limits. This is an indicator. It does not place orders and does not simulate fills
Originality and usefulness
This is not a mashup of standard MAs. It is a single adaptive engine expressed at three speeds, plus a reliability model and a multi timeframe state panel.
• Unique concept or fusion. Robust input conditioning plus efficiency ratio driven adaptive alpha plus a reliability score that requires both structure and strength, projected across three higher timeframes with a consensus read
• What failure mode it addresses. Single bar spikes that poison classic smoothers, and false trend impressions during low efficiency chop where fixed length MAs keep crossing
• Testability. All behaviors are controlled in Inputs and echoed in the table so users can see why the state is bullish, bearish, or mixed and tune accordingly
• Portable yardstick. Efficiency ratio is dimensionless, so it generalizes across symbols and tick sizes. Slope strength is normalized by recent average absolute slope to reduce symbol dependence
Method overview in plain language
Base measures
Return basis. The engine measures directionality with an efficiency ratio, defined as absolute net change over a window divided by the sum of absolute bar to bar changes over the same window. Values closer to 1 indicate directional movement. Values closer to 0 indicate noise.
Range basis. Optional robust clipping uses a rolling mean and a scaled mean absolute deviation of price around that mean to define a dynamic clamp band for extreme bars.
Components
• Robust Clip. Optional step that clamps extreme deviations of the input series so single spikes do not disproportionately shift the MA state. Use it on wick heavy markets or news driven sessions. Disable it if you want raw sensitivity.
• Adaptive Alpha Core. The smoothing rate adapts between a fast and slow anchor using the efficiency ratio. In directional regimes the MA accelerates. In noisy regimes it slows down.
• Base Length Shaping. A second light smoothing stage ties each line to its fast, medium, or slow horizon so the trio remains coherent instead of behaving like three unrelated formulas.
• Zero Lag Assist. Optional phase compensation that slightly pulls the line toward its recent direction to reduce lag. It is strongest on the fast line and tapered on medium and slow. Disable it if you prefer maximum stability in chop.
• Reliability Score. A composite confidence estimate built from medium efficiency, MA stack coherence, and normalized medium slope strength. It is designed as a gating variable, not as a prediction.
Fusion rule
The three lines are produced by the same adaptive engine with different base lengths. The adaptive alpha uses the efficiency ratio to interpolate between the fast and slow anchors, then squares the result to damp small changes, similar in spirit to classic adaptive averages but implemented as a coherent three speed suite. Reliability is a weighted composite of:
• medium efficiency as the directionality signal
• a stack coherence score that is true when Fast is above Medium and Medium is above Slow, or the symmetric bearish condition
• medium slope strength normalized by recent average absolute slope
Signal rule
This script does not print buy or sell markers. It provides context states.
• Bullish structure is present when Fast is above Medium and Medium is above Slow
• Bearish structure is present when Fast is below Medium and Medium is below Slow
• Reliable regime shading is shown only when reliability is at or above the threshold and structure is consistently bullish or bearish
• Higher timeframe Trend in the table is Up when higher timeframe close is above its higher timeframe Medium and the higher timeframe Medium slope is positive. Down is the symmetric condition. Otherwise it is Neutral
What you will see on the chart
• Three adaptive MA lines: Compass Fast, Compass Medium, Compass Slow
• Optional line coloring: green when close is above the line, red when close is below
• Optional background shading: green for reliable bullish structure, red for reliable bearish structure
• Compact higher timeframe panel in the top right
Table fields and quick reading guide
Table columns use short labels.
• TF. The timeframe used for the row
• TREND. Up, Down, or Neutral on that higher timeframe using close versus Medium plus Medium slope sign
• C VS MED. Whether the higher timeframe close is above or below its higher timeframe Medium
• STACK. Two relationships shown together: F>M or FS or M Indicator
US/SPY- Financial Regime Index Swing Strategy Credits: concept inspired by EdgeTools Bloomberg Financial Conditions Index (Proxy)
Improvements: eight component basket, inverse volatility weights, winsorization option( statistical technique used to limit the influence of outliers in a dataset by replacing extreme values with less extreme ones, rather than removing them entirely), slope and price gates, exit guards, table and gradients.
Summary in one paragraph
A macro regime swing strategy for index ETFs, futures, FX majors, and large cap equities on daily calculation with optional lower time execution. It acts only when a composite Financial Conditions proxy plus slope and an optional price filter align. Originality comes from an eight component macro basket with inverse volatility weights and winsorized return z scores that produce a portable yardstick.
Scope and intent
Markets: SPY and peers, ES futures, ACWI, liquid FX majors, BTC, large cap equities.
Timeframes: calculation daily by default, trade on any chart.
Default demo: SPY on Daily.
Purpose: convert broad financial conditions into clear swing bias and exits.
Originality and usefulness
Unique fusion: return z scores for eight liquid proxies with inverse volatility weighting and optional winsorization, then slope and price gates.
Failure mode addressed: false starts in chop and early shorts during easy liquidity.
Testability: all knobs are inputs and the table shows components and weights.
Portable yardstick: z scores center at zero so thresholds transfer across symbols.
Method overview in plain language
Base measures
Return basis: natural log return over a configurable window, standardized to a z score. Winsorization optional to cap extremes.
Components
EQ US and EQ GLB measure equity tone.
CREDIT uses LQD over HYG. Higher credit quality outperformance is risk off so sign is flipped after z score.
RATES2Y uses two year yield, sign flipped.
SLOPE uses ten minus two year yield spread.
USD uses DXY, sign flipped.
VOL uses VIX, sign flipped.
LIQ uses BIL over SPY, sign flipped.
Each component is smoothed by the composite EMA.
Fusion rule
Weighted sum where weights are equal or inverse volatility with exponent gamma, normalized to percent so they sum to one.
Signal rule
Long when composite crosses up the long threshold and its slope is positive and price is above the SMA filter, or when composite is above the configured always long floor.
Short when composite crosses down the short threshold and its slope is negative and price is below the SMA filter.
Long exit on cross down of the long exit line or on a fresh short signal.
Short exit on cross up of the short exit line or on a fresh long signal, or when composite falls below the force short exit guard.
What you will see on the chart
Markers on suggestion bars: L for long, S for short, LX and SX for exits.
Reference lines at zero and soft regime bands at plus one and minus one.
Optional background gradient by regime intensity.
Compact table with component z, weight percent, and composite readout.
Table fields and quick reading guide
Component: EQ US, EQ GLB, CREDIT, RATES2Y, SLOPE, USD, VOL, LIQ.
Z: current standardized value, green for positive risk tone where applicable.
Weight: contribution percent after normalization.
Composite: current index value.
Reading tip: a broadly green Z column with slope positive often precedes better long context.
Inputs with guidance
Setup
Calc timeframe: default Daily. Leave blank to inherit chart.
Lookback: 50 to 1500. Larger length stabilizes regimes and delays turns.
EMA smoothing: 1 to 200. Higher smooths noise and delays signals.
Normalization
Winsorize z at ±3: caps extremes to reduce one off shocks.
Return window for equities: 5 to 260. Shorter reacts faster.
Weighting
Weight lookback: 20 to 520.
Weight mode: Equal or InvVol.
InvVol exponent gamma: 0.1 to 3. Higher compresses noisy components more.
Signals
Trade side: Long Short or Both.
Entry threshold long and short: portable z thresholds.
Exit line long and short: soft exits that give back less.
Slope lookback bars: 1 to 20.
Always long floor bfci ≥ X: macro easy mode keep long.
Force short exit when bfci < Y: macro stress guard.
Confirm
Use price trend filter and Price SMA length.
View
Glow line and Show component table.
Symbols
SPY ACWI HYG LQD VIX DXY US02Y US10Y BIL are defaults and can be changed.
Realism and responsible publication
No performance claims. Past is not future.
Shapes can move intrabar and settle on close.
Execution is on standard candles only.
Honest limitations and failure modes
Major economic releases and illiquid sessions can break assumptions.
Very quiet regimes reduce contrast. Use longer windows or higher thresholds.
Component proxies are ETFs and indexes and cannot match a proprietary FCI exactly.
Strategy notice
Orders are simulated on standard candles. All security calls use lookahead off. Nonstandard chart types are not supported for strategies.
Entries and exits
Long rule: bfci cross above long threshold with positive slope and optional price filter OR bfci above the always long floor.
Short rule: bfci cross below short threshold with negative slope and optional price filter.
Exit rules: long exit on bfci cross below long exit or on a short signal. Short exit on bfci cross above short exit or on a long signal or on force close guard.
Position sizing
Percent of equity by default. Keep target risk per trade low. One percent is a sensible starting point. For this example we used 3% of the total capital
Commisions
We used a 0.05% comission and 5 tick slippage
Legal
Education and research only. Not investment advice. Test in simulation first. Use realistic costs.
Strategy
Implied Volatility RangeThe Implied Volatility Range is a forward-looking tool that transforms option market data into probability ranges for future prices. Based on the lognormal distribution of asset prices assumed in modern option pricing models, it converts the implied volatility curve into a volatility cone with dynamic labels that show the market’s expectations for the price distribution at a specific point in time. At the selected future date, it displays projected price levels and their percentage change from today’s close across 1, 2, and 3 standard deviation (σ) ranges:
1σ range = ~68.2% probability the price will remain within this range.
2σ range = ~95.4% probability the price will remain within this range.
3σ range = ~99.7% probability the price will remain within this range.
What makes this indicator especially useful is its ability to incorporate implied volatility skew. When only ATM IV (%) is entered, the indicator displays the standard Black–Scholes lognormal distribution. By adding High IV (%) and Low IV (%) values tied to strikes above and below the current price, the indicator interpolates between these inputs to approximate the implied volatility skew. This adjustment produces a market-implied probability distribution that indicates whether the option market is leaning bullish or bearish, based on the data entered in the menu:
ATM IV (%) = Implied volatility at the current spot price (at-the-money).
High IV (%) = Implied volatility at a strike above the current spot price.
High Strike = Strike price corresponding to the High IV input (OTM call).
Low IV (%) = Implied volatility at a strike below the current spot price.
Low Strike = Strike price corresponding to the Low IV input (OTM put).
Expiration (Day, Month, Year) = Option expiration date for the projection.
Once these inputs are entered, the indicator calculates implied probability ranges and, if both High IV and Low IV values are provided, adjusts for skew to approximate the option market’s distribution. If no implied volatility data is supplied, the indicator defaults to a lognormal distribution based on historical volatility, using past realized volatility over the same forward horizon. This keeps the tool functional even without implied volatility inputs, though in that case the output represents only an approximation of ATM IV, not the actual market view.
In summary, the Implied Volatility Range is a powerful tool that translates implied volatility inputs into a clear and practical estimate of the market’s expectations for future prices. It allows traders to visualize the probability of price ranges while also highlighting directional bias, a dimension often difficult to interpret from traditional implied volatility charts. It should be emphasized, however, that this tool reflects only the market’s expectations at a specific point in time, which may change as new information and trading activity reshape implied volatility. Indicator
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Time-input Lines [MFX]THE LINES
The indicator plots a horizontal price line at a specified hour and minute (default: 9:30 - Equities Open). This line extends for a predefined number of minutes (default: 60 minutes - Opening Range Full Spectrum). Additionally, the indicator can plot two vertical lines: one at the selected start time and another at the end of the horizontal line.
STYLE
Both the horizontal and vertical lines are fully customizable, allowing adjustments to color, style, and width. For a cleaner, minimalist chart, any of these lines can be disabled.
TIMEZONE
By default, the indicator operates in the New York time zone, but this can be modified by unchecking the option and specifying a custom offset relative to UTC/GMT. The default offset is +2, corresponding to CEST (Central European Summer Time, UTC/GMT+2). The offset can be adjusted with up to 15-minute precision, where 0.25 represents a quarter of an hour. Indicator
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Equity Bond Currency DashboardDepicts demand-flow between Equities, Bonds and Currencies of 6 countries. Useful in tracking the flow of smart money and checking the dynamics of inter-connected markets.
Principle:
DXY lies at the heart of the diagram with usd-currency pairs of 5 countries connected to it. When demand for a currency increases it strengthens against Dollar. This is depicted by a line from DXY to the currency indicating demand flow from Dollar to the currency (DXY is only an indicative symbol for Dollar, the currency may not be part of the dollar index). Similarly when Dollar strengthens against the currency, demand flow is depicted by a line from the currency to DXY. Currency blocks are connected to Equity and Bond Yields of the respective countries. Equities and Bonds, when bought, takes the demand from the respective currencies and vice versa.
Overall, the demand flows in the direction of arrows. The flow is incomplete without commodities, import/export, interest/inflation rates of countries, however, the diagram most of the times explains why an asset class is performing the way it is.
Left side bar of each block is very similar to OHLC candles except for the following -
Instead of wicks, top and bottom of the bar represents high and low for the selected time-frame
Open and close are normalised for high and low
Bar border is red if close < prev.close, green if close >= prev.close
Other notes:
The diagram requires at least 200 bars in the chart to render. Please select the symbol and time-frame that contain at least 200 bars.
The diagram requires a live market to render the flow. To check flows on historical bars, set the option from settings.
Desired indices could be selected for countries of choice. Default settings point to futures wherever possible to have the markets live simultaneously across the countries.
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Silen's Financials Fair ValueIt is finally here! 🔥 My 3rd and most important script in my Financial series! 🚀
Ever imagined to see all fundamentals (or many that is) combined into one indicator that is right on your chart, showing you how your favorite stock is trading compared to its fundamentals?
Well, here is your answer! 📡
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This script shows you my own personal interpretation of fair value, based solely on the financial fundamentals of a company compared to market averages.
I don't believe that certain sectors of the market should be priced higher than others. If you look at historical data you'll see that favored sectors always rotate - placing insanely high P/E multiples on some sectors. Once they are "out" and people rotate away from those sectors you're left with nothing but the naked fundamentals that matter. So, you'll see many companies, that have been doing well on paper, see their share price decline by 70-90% for no other reasons than people favoring other sectors.
That's why it's even more important to focus on fair value that is solely fundamentals-based. Know when your stock gets to expensive. 🤯
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To give you some examples:
- Most Megacaps trade at historically high valuations, several times my fair value. Those include AAPL, MSFT, NVDA, AMZN, TSLA, JPM, TSM, V and so on. And no, in the past they partially traded below (my) fair value.
- Most Cybersecurity / Cloud companies are trading at truly massive multiples of my fair value. (NET, DDOG, etc)
- Many Smallcaps & Midcaps are trading several multiples (OESX, CODX, QFIN) below my fair value. And no, in the past they partially traded above (my) fair value.
Ok, so much about the market. You ultimately decide how much you want to orientate on fair value. 👨🏫
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This fair value indicator (purple line):
Takes the P/E rate of the company and compares it to the market (50% weight)
Takes the P/S rate of the company and compares it to the market (50% weight)
Then adds boni and mali f or debt/equity rates and debt and equity itself
Also looks at past growth and calculates future P/E and P/S rates which adds , in some cases, value to the fair value (green line)
Also compares how historical valuations have behaved compared to fair value and simulates a fair value guideline (dark blue line)
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This script is part 3️⃣ of a series of indicators that work well together.
Script 1️⃣ of the series is:
P/E & P/S Rates
Script 2️⃣ of the series is:
Debt & Equity
If you use all 3 scripts together it will look like this, giving you truly deep and simple information about the fundamentals of a company:
Example 1 - AMD
Example 2 - HZO
Example 3 - APPS
I hope this script makes your investing and stock picks a lot easier! 🔆💹🕗
Disclaimer: Fair value is always subjective. There are many different approaches to fair value. This one is only my personal interpretation.
Disclaimer 2: This script works only for the Day-Timeframe.
Disclaimer 3: This script uses 17,5 P/E and 3,0 P/S as market averages. The actual average keeps changing but, historically speaking, these seemed to be good numbers.
Feel free to share your thoughts and feedback! 🙃
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