FCF / FFO / CFOA and dividends per shareThe indicator shows the Free Cashflow, Funds From Operations or Cash From Operating Activities per share and you can compare it to the dividends per share. You can see at a glance whether the dividends could be paid by one of this KPI. Please use the 12M time unit for the best result.
Análisis fundamental
[dharmatech] U.S. Treasury Yield CurveThis indicator displays the U.S. Treasury Securities Yield Curve.
This is a fork of the US Treasury Yield Curve indicator by @longflat. Thank you for sharing your work!
There are already so many yield curve indicators on TradingView.
What makes this one different?
Update to version 5 of Pine Script
Add RRP%
Add 4 month
Add 20 year
Show previous day's yield curve
Options for prior yield curves
The thick red line shows the latest yield curve.
The yellow line shows the yield curve 1 bar ago.
So, if your timeframe is set to 1 day, the yellow line will show yesterday's yield curve.
Blockchain FundamentalThis indicator is made for traders to harness fundamental blockchain data for better decision-making. Unlike traditional tools, this indicator doesn't depend on standard technical indicators. It offers a novel perspective by focusing on core blockchain metrics like capitalization, miner activity, and other intrinsic data elements. I've designed a distinct scoring logic, exclusive to BF, ensuring it's user-friendly and provides actionable insights for traders at all levels.
Mainly created for Bitcoin , but can be applied to any other crypto assets in cost of losing some metrics in the analysis.
Ethereum chart:
Features:
Customizable Moving Averages:
Choose from an array of moving averages, with the flexibility to adjust the length for a tailored analysis, aiding in pinpointing asset trends.
Blockchain Metrics Integration:
Incorporates a range of blockchain metrics such as Market Cap to Realised Cap ratio, Spent Output Profit Ratio, ATH Drawdown, and more.
Blockchain Metrics Evaluation:
Each metric can be toggled on/off to customize the analysis. Using default settings, traders can use all of the metrics combined.
Every metric is essentially evaluated on a scale from -100 to 100 and then combined with others. If any metric is uncertain about its direction (equals to 0), then the score of it is not accounted in a final calculation.
Kalman Filter:
This indicator offers the option to apply a Kalman filter to the signals, enhancing the smoothness and accuracy of the indicator’s output. This is my approach to mitigate the noise in the final output.
Signal Oscillator:
Displays the aggregated score of all selected blockchain metrics.
Offers visual signals with adjustable upper and lower bounds for easy interpretation based on particular asset observation.
Visual Elements:
Signal Oscillator:
A visual representation of the aggregated blockchain fundamental score.
(White line for a raw calculation, orange line for kalman-filtered one)
Signal Counter:
Displays the count of metrics currently being considered in the fundamental score calculation. (grey line at the middle of an indicator)
Buy/Sell Signal Coloring:
The background color changes to indicate potential buying or selling opportunities based on user-defined bounds.
Usage:
Analysis:
Use the signal oscillator to identify potential market tops and bottoms based on blockchain fundamental data.
Adjust the bounds to customize the sensitivity of buy/sell signals.
Customization:
Enable/disable specific blockchain metrics to tailor the indicator to your analytical needs.
Adjust the moving average type and length for better analysis.
Integration:
Combine with other technical indicators to create a comprehensive trading strategy.
Utilize in conjunction with volume and price action analysis for enhanced decision-making. Every output could be used in traders custom strategies and indicators.
BTC hash rate oscillatorOVERVIEW:
This script looks to identify entry point opportunities when moving averages over Bitcoin's hash rate are indicative of Miner capitulation. The script implements an oscillator based on Charles Capriole's "Hash Ribbons & Bitcoin Bottoms" concept. It analyses the short-term and long-term moving averages of Bitcoin's hash rate and then identifies potential entry opportunities from this.
KEY FEATURES:
Signal Generation: The script identifies entry points when the short-term moving average crosses under the long-term moving average and the rate of change falls below a specified threshold. These conditions suggest potential trading opportunities.
Historical Signals: Optionally the script displays historical signals, indicating past instances where hash rate conditions suggested favourable entry points. Users can also assess the script's historical performance.
USAGE:
The generated opportunities can be used as potential entry points for BTC. The script provides visual cues on the chart (blue labels above the miner capitulation zones) for identification of signals. Customisable moving average lengths and threshold values are supported, which allow adaptation to various strategies.
CONSIDERATIONS:
Validation: It's recommended that careful backtesting over historical data be done before acting on any identified opportunities.
User Discretion: Trading decisions should not rely solely on this script. Users should exercise their judgment and consider market conditions.
Note: This script identifies opportunities based on historical data and should be used with caution, as past performance is not indicative of future results.
[dharmatech] Area Under Yield Curve : USThis indicator displays the area under the U.S. Treasury Securities yield curve.
If you compare this to SP:SPX , you'll see that there are large periods where they are inversely related. Other times, they track together. When the move together, watch out for the expected and eventual divergence.
By default, this indicator will show up in a separate pane. If you move it to an existing pane (e.g. along side SP:SPX ) you'll need to move it to a different price scale.
The area under the yield curve is a quick way to see if the overall yield curve moved up or down. Generally speaking, increasing yields isn't good for markets, unless there is some other stimulus going on simultaneously.
The following treasury securities are used in this calculation:
FRED:DGS1MO (1 month)
FRED:DGS3MO (3 month)
FRED:DGS6MO (6 month)
FRED:DGS1 (1 year)
FRED:DGS2 (2 year)
FRED:DGS3 (3 year)
FRED:DGS5 (5 year)
FRED:DGS7 (7 year)
FRED:DGS10 (10 year)
FRED:DGS20 (20 year)
FRED:DGS30 (30 year)
BearMetricsLooking at the financial health of a company is a critical aspect of stock analysis because it provides essential insights into the company's ability to generate profits, meet its financial obligations, and sustain its operations over the long term. Here are several reasons why assessing a company's financial health is important when evaluating a stock:
1. **Profitability and Earnings Growth**: A company's financial statements, particularly the income statement, provide information about its profitability. Analyzing earnings and revenue trends over time can help you assess whether the company is growing or declining. Investors generally prefer companies that show consistent earnings growth.
2. **Risk Assessment**: Financial statements, including the balance sheet and income statement, offer a comprehensive view of a company's assets, liabilities, and equity. By evaluating these components, you can gauge the level of financial risk associated with the stock. A healthy balance sheet typically includes a manageable debt load and strong equity.
3. **Cash Flow Analysis**: Cash flow statements reveal how effectively a company manages its cash, which is crucial for day-to-day operations, debt servicing, and future investments. Positive cash flow is essential for a company's stability and growth prospects.
4. **Debt Levels**: Examining a company's debt levels and debt-to-equity ratio can help you determine its leverage. High debt levels can be a cause for concern, as they may indicate that the company is at risk of financial distress, especially if it struggles to meet interest payments.
5. **Liquidity**: Liquidity is vital for a company's short-term survival. By assessing a company's current assets and current liabilities, you can gauge its ability to meet its short-term obligations. Companies with low liquidity may face difficulties during economic downturns or unexpected financial challenges.
6. **Dividend Sustainability**: If you're an income-oriented investor interested in dividend-paying stocks, you'll want to ensure that the company can sustain its dividend payments. A healthy balance sheet and consistent cash flow can provide confidence in dividend sustainability.
7. **Investment Confidence**: A company with a strong financial position is more likely to attract investor confidence and positive sentiment. This can lead to higher stock prices and a lower cost of capital for the company, which can be beneficial for its growth initiatives.
8. **Risk Mitigation**: By assessing a company's financial health, you can mitigate investment risk. Understanding a company's financial position allows you to make more informed decisions about the level of risk you are comfortable with and whether a particular stock aligns with your risk tolerance.
9. **Long-Term Viability**: Ultimately, investors are interested in companies that have the potential for long-term success. A company with a healthy financial foundation is more likely to weather economic downturns, adapt to industry changes, and thrive over the years.
In summary, examining a company's financial health is a fundamental aspect of stock analysis because it provides a comprehensive picture of the company's current state and its ability to navigate future challenges and capitalize on opportunities. It helps investors make informed decisions and assess the long-term prospects of a stock in their portfolio.
TradersCheckListThe Traders Check List is a unique and innovative tool designed to assist traders in their decision-making process. Unlike traditional indicators that provide signals or visual representations of market data, the Traders Check List offers a structured and customizable checklist that traders can use to ensure they're adhering to their trading plan and strategy.
While there are countless indicators available for trend detection, momentum, volatility, and other market aspects, very few tools focus on the trader's process. The Traders Check List fills this gap by providing a visual reminder of key trading considerations directly on the chart.
Functionality:
Upon applying the Traders Check List to a chart, users will see a table displayed, typically in the top right corner. This table contains rows that represent different trading considerations, such as trend direction, risk management, and psychological factors. Each row can be customized by the user to fit their specific trading plan.
For instance, a trader might have a row labeled "Trending Lower" with a corresponding "Yes/No" column to confirm if the current instrument is indeed trending downward.
Underlying Concepts:
The Traders Check List is based on the principle that successful trading is not just about market analysis but also about discipline and consistency. By having a visual checklist on the chart, traders are constantly reminded of their strategy's key components, reducing the likelihood of impulsive or emotional decisions.
How to Use:
Apply the Traders Check List to your desired chart.
Customize the rows based on your trading strategy's key considerations.
As you analyze the market, update the checklist to reflect the current conditions and your analysis.
Before entering a trade, review the checklist to ensure all criteria are met.
Smart Money IndicatorSmart Money Indicator
Overview:
The "Smart Money Indicator" is a custom Pine Script indicator designed to help traders identify potential instances of "smart money" or institutional activity in the financial markets. The concept of "smart money" suggests that institutional investors or sophisticated market participants may have an edge due to their access to resources, information, and analytical tools.
Indicator Features:
Volume Moving Average: The indicator calculates a simple moving average (SMA) of the trading volume over a specified length (default is 20 bars). This moving average serves as a baseline for evaluating current trading volume.
Smart Money Signals: The indicator plots green triangles below the price bars when the current trading volume is significantly higher (50% above) than the moving average. This is intended to highlight potential instances of "smart money" activity.
Dumb Money Signals: Conversely, the indicator plots red triangles above the price bars when the current trading volume is significantly lower (50% below) than the moving average. This is meant to indicate potential "dumb money" activity.
How to Use:
Traders can use this indicator to identify potential shifts in market sentiment driven by institutional activity. When the green "Smart Money" triangles appear, it may suggest increased institutional interest or significant trading volume, potentially signaling a noteworthy market event. Conversely, red "Dumb Money" triangles may indicate periods of reduced institutional activity.
Disclaimer:
It's important to note that this indicator is a simplified representation of the concept of "smart money" and should be used in conjunction with other technical and fundamental analysis tools. Trading decisions should not be based solely on this indicator, and thorough research and due diligence are essential before making trading or investment decisions.
Customization:
Traders can customize the indicator by adjusting the length of the volume moving average to match their trading preferences and strategies. Experimentation and fine-tuning may be necessary to optimize its performance for specific markets and timeframes.
Global Central Bank Balance Sheets (USD)Global Central Bank Balance Sheets (USD):
Aggregated:
- FED (Federal Reserve) - United States
- ECB (European Central Bank) - Eurozone
- PBC (People's Bank of China) - China
- BOJ (Bank of Japan) - Japan
- BOE (Bank of England) - United Kingdom
- BOC (Bank of Canada) - Canada
- RBA (Reserve Bank of Australia) - Australia
- RBI (Reserve Bank of India) - India
- SNB (Swiss National Bank) - Switzerland
- CBR (Central Bank of Russia) - Russia
- BCB (Central Bank of Brazil) - Brazil
- BOK (Bank of Korea) - South Korea
- RBZN (Reserve Bank of New Zealand) - New Zealand
- SR (Swedish Central Bank) - Sweden
- BNM (Bank Negara Malaysia) - Malaysia
Volume Traded in Total Outstanding Shares with basic fundamentalThis indicator helps to find Volume Traded in Total Outstanding Shares with basic fundamental parameters like MCAP, EPS, PE, D2E and No. Equity shares.
Session CandlesThis indicator is designed to visually represent different trading sessions on a price chart, highlighting candlestick colors to distinguish between bullish (upward movement) and bearish (downward movement) trends during various market sessions. Here's an overview of how the indicator works:
1. Session Definition: The indicator defines four distinct trading sessions:
- London Session: Typically covering the European trading hours.
- New York AM Session: Representing the morning hours of the New York trading session.
- New York PM Session: Representing the afternoon hours of the New York trading session.
- Asia Session: Encompassing the trading hours of the Asian markets.
2. Configuration Options: Users can customize the behavior of the indicator through input options. For each session, users can enable or disable the display of session-specific candles.
3. Candle Coloring: The indicator determines the color of candles based on the following criteria:
- For each session, it checks whether the current candle's closing price is higher than its opening price.
- If the closing price is higher, the candle is considered bullish, and a user-defined green color is used for the candle.
- If the closing price is lower, the candle is considered bearish, and a user-defined red color is applied.
4. Display: The indicator then applies the calculated candle colors to the respective candles of each trading session on the price chart. This visual distinction helps traders quickly identify the prevailing trend during different market sessions.
To use the indicator, traders can overlay it on their price charts in TradingView. By enabling or disabling specific trading sessions, they can focus on the trends and price movements during those specific time periods.
Please note that the actual appearance of the indicator on the chart depends on the user's chosen settings for session enablement and color preferences.
US Presidential ElectionsThis script can be useful in case of analyzing the impact of US presidential election on the past market.
It has separated settings for showing Inauguration and Election labels.
Fundamental Metrics v1.2LETS MAKE FUNDAMENTALS GREAT AGAIN!!!
This is a basic Script to show a list of financial metrics or key performance indicators (KPIs) that are commonly used to assess the financial health and performance of a company.
Let's break down what each of these metrics represents:
1. Long-Term Debt (LTD): This represents the total amount of debt that a company owes that is expected to be paid back over a period of more than one year. It includes bonds, loans, and other long-term borrowing.
2. Ex-Capital Lease: This might refer to the company's obligations related to capital leases, which are long-term lease agreements for assets like equipment or property. "Ex" typically stands for "excluding," so this could be the amount of capital lease obligations excluded from the company's financials.
3. Total Revenue: This is the total income generated by a company from its primary operations. It includes sales of goods or services before any deductions for costs or expenses.
4. Total Equity: This is the total value of ownership or shareholders' equity in the company. It represents the residual interest in the assets of the entity after deducting liabilities.
5. Cash & Equivalents: This refers to the total amount of cash and assets that are easily convertible into cash, such as marketable securities or short-term investments.
6. Revenue Estimates: This could refer to the company's projections or estimates of future revenues, typically for the current fiscal year (FY).
7. Free Cash Flow (FCF): FCF represents the cash generated by a company's operations after deducting capital expenditures (CapEx) required to maintain or expand its asset base. It's a measure of a company's ability to generate cash from its core operations.
8. EBITDA (Earnings Before Interest, Taxes, Depreciation, and Amortization): EBITDA is a measure of a company's operating performance. It looks at earnings before considering the effects of interest, taxes, depreciation, and amortization. It's often used to assess profitability.
9. Market Capitalization (Market Cap): Market cap is the total value of a company's outstanding shares of stock in the stock market. It's calculated by multiplying the current share price by the total number of outstanding shares.
These metrics are essential for investors, analysts, and stakeholders to evaluate a company's financial position, performance, and overall health. They provide insights into various aspects of a company's operations, such as its debt obligations, revenue generation, profitability, and market value. Companies often report these metrics in their financial statements and disclosures to help investors make informed decisions.
Dividends calculateThe indicator displays the date and amount of future dividends for the selected symbol.
Allows you to forecast the increase in cash volume on the market.
Stochastic Trend mtfDefinition
The Stochastic RSI indicator (Stoch RSI) is actually an indicator of an indicator. It is used in technical analysis to provide a stochastic calculation to the RSI indicator. This means it's an RSI measure relative to its own high/low range over a user-defined time period. Stochastic RSI is an oscillator that calculates a value between 0 and 1 and then plots it as a line. This indicator is primarily used to identify overbought and oversold conditions.
It is important to remember that the Stoch RSI is an indicator of an indicator that is two steps away from the price. The RSI is one step away from the price and therefore a stochastic calculation of the RSI is two steps away. This is important because as with any indicator that is more than one step away from price, the Stoch RSI can be short-term disconnected from actual price action. However, as a range-bound indicator, the Stoch RSI's primary function is to identify cross-bought, overbought and oversold conditions.
Use
When we integrate it into our chart in the upper time frame, it both gives the direction of the trend more healthy and is more efficient in terms of noise reduction in terms of leaving the overbought-sold zones. Unlike the classic stochastic, I set the "d" value to 8. Even though the trend returns are a little late, we see healthier data on our graph. Trend changes in overbought zones are getting stronger. Coloring red indicates that the trend is selling, while painting green indicates that the trend is buying. I hope you find it useful, if you have any questions or suggestions, please feel free to ask.
Good luck...
It is not investment advice.
Bursa Malaysia Index SeriesBursa Malaysia Index Series. The index computation is as follows:-
Current aggregate Market Capitalisation/Base Aggregate Market Capitalisation x 100.
The Bursa Malaysia Index Series is calculated and disseminated on a real-time basis at 60-second intervals during Bursa’s trading hours.
Bitcoin to GOLD [presentTrading]**Introduction and How it is Different**
Unlike traditional indicators, the BTGR offers a unique perspective on market sentiment and asset valuation by juxtaposing two seemingly disparate assets: Bitcoin, the digital gold, and Gold, the traditional store of value. This article introduces an advanced version of this ratio, complete with upper and lower bands calculated using standard deviations. These bands add an extra layer of analytical depth, allowing for more nuanced trading strategies.
BTCUSD 12h bigger picture
**Economic Principles**
The BTGR is rooted in the economic principles of asset valuation and market sentiment. Gold has long been considered a safe haven asset, a place where investors park their money during times of economic uncertainty. Bitcoin, on the other hand, is often viewed as a high-risk, high-reward investment. By comparing the two, the BTGR provides insights into the broader market sentiment.
- Risk Appetite: A high BTGR indicates a bullish sentiment towards riskier assets like Bitcoin.
- Market Uncertainty: A low BTGR suggests a bearish sentiment and a flight to the safety of Gold.
- Asset Diversification: The BTGR can be used as a tool for portfolio diversification, helping investors balance risk and reward.
**How to Use It**
Setting Up the Indicator
- Platform: The indicator is designed for use on TradingView.
- Time Frame: A 480-minute time frame is recommended for more accurate signals.
- Parameters: The moving average is set at 200 periods, and the standard deviation is calculated over the same period.
**Trading Signal**
Long Entry: Consider going long when the BTGR crosses above the upper band.
Short Entry: Consider going short when the BTGR crosses below the lower band.
Note: Due to the issue that the number of trading is less than about 100 times, the corresponding strategy is not allowed to publish.
Adjusted Volume - 20 to 18-dayScript based off the definition Adjusted Volume means the sum of trading volume for a period of 20 consecutive trading days ending on the day preceding the date of determination; provided, however, that the day with the highest volume and the day with the lowest volume shall be eliminated and only the remaining 18 days summed.
FVG w/ Fibs [QuantVue]The "FVG w/ Fibs" indicator is a trading tool designed to identify and visualize Fair Value Gaps (FVGs) while overlaying two Fibonacci retracement levels.
• Bullish FVG: Occurs when the low of the current bar is higher than the high of two bars ago, and the previous close is higher than the high of two bars ago.
• Bearish FVG: Occurs when the high of the current bar is lower than the low of two bars ago, and the previous close is lower than the low of two bars ago.
The indicator filters these gaps based on user-defined criteria such as the minimum percentage size of the gap.
Once identified, these FVGs are highlighted on the chart using customizable boxes and the 50% and 61.8% (default settings) Fibonacci retracement levels are calculated and drawn based on the size of the identified FVG.
• Dynamically updates and extends the boxes as the price evolves.
• Alerts / visual changes for FVGs that get filled.
• User option for fills by Wicks or Close
• User-customizable settings for box colors, styles, and Fibonacci level appearances
Give this indicator a BOOST and COMMENT your thoughts!
We hope you enjoy.
Cheers!
Global M2 YoY % Change (USD)M2 Global Money Supply in USD terms for nations with historical available past ~10 years, year over year % change.
Global M2 Money Supply (USD)M2 Global Money Supply in USD terms for nations with historical available past ~10 years.
Bitcoin CME Gap TrackerCME Bitcoin Futures Gaps: What Are They and Why Are They Important?
Gaps are breaks between price candles on charts, illustrating the intervals between the closing price of the previous period and the opening price of the next. For Bitcoin on CME, these gaps arise due to the particular workings of this market.
Bitcoin and other cryptocurrencies trade 24/7 without breaks. However, CME Bitcoin Futures, like many other financial instruments on traditional exchanges, have weekends and trading pauses. When the Bitcoin market continues to move during weekends or CME closures, and then CME opens on the subsequent trading day, a price disparity can occur, perceived as a gap.
Several studies suggest that in most cases (approximately 70% and more), the market reverts to "close" these gaps. This phenomenon is observed because large liquidity is concentrated at these gap points. There are many unfilled orders in gap zones, placed at specific prices. When the price reaches these levels, it can swiftly react to this "clustering" of orders, potentially leading to the gap's closure.
Therefore, CME Bitcoin Futures gaps not only reflect crucial psychological moments in the market but can also serve as potential entry or exit points, considering the high liquidity in these zones.
Technical Description:
The script is designed to identify gaps in the Bitcoin Futures chart on CME. It automatically detects gaps that appear on Mondays (since CME is closed on weekends) and are larger than the user-specified percentage.
Key Features:
Identification of the weekday to detect gaps that arose on Monday.
Calculation of positive and negative gaps by comparing the highs and lows of the previous candles with the current ones.
Graphical representation of the gaps using lines and labels on the chart.
User Guide:
Add this script to your TradingView chart.
You can adjust the "Show gaps larger than %" parameter to determine the minimum gap size of interest.
Gaps will be automatically displayed on your chart with lines and labels.
Financial Ratios Fundamental StrategyWhat are financial ratios?
Financial ratios are basic calculations using quantitative data from a company’s financial statements. They are used to get insights and important information on the company’s performance, profitability, and financial health.
Common financial ratios come from a company’s balance sheet, income statement, and cash flow statement.
Businesses use financial ratios to determine liquidity, debt concentration, growth, profitability, and market value.
The common financial ratios every business should track are
1) liquidity ratios
2) leverage ratios
3)efficiency ratio
4) profitability ratios
5) market value ratios.
Initially I had a big list of 20 different ratios for testing, but in the end I decided to stick for the strategy with these ones :
Current ratio: Current Assets / Current Liabilities
The current ratio measures how a business’s current assets, such as cash, cash equivalents, accounts receivable, and inventories, are used to settle current liabilities such as accounts payable.
Interest coverage ratio: EBIT / Interest expenses
Companies generally pay interest on corporate debt. The interest coverage ratio shows if a company’s revenue after operating expenses can cover interest liabilities.
Payables turnover ratio: Cost of Goods sold (or net credit purchases) / Average Accounts Payable
The payables turnover ratio calculates how quickly a business pays its suppliers and creditors.
Gross margin: Gross profit / Net sales
The gross margin ratio measures how much profit a business makes after the cost of goods and services compared to net sales.
With this data, I have created the long and long exit strategy:
For long, if any of the 4 listed ratios,such as current ratio or interest coverage ratio or payable turn ratio or gross margin ratio is ascending after a quarter, its a potential long entry.
For example in january the gross margin ratio is at 10% and in april is at 15%, this is an increase from a quarter to another, so it will get a long entry trigger.
The same could happen if any of the 4 listed ratios follow the ascending condition since they are all treated equally as important
For exit, if any of the 4 listed ratios are descending after a quarter, such as current ratio or interest coverage ratio or payable turn ratio or gross margin ratio is descending after a quarter, its a potential long exit.
For example in april we entered a long trade, and in july data from gross margin comes as 12% .
In this case it fell down from 15% to 12%, triggering an exit for our trade.
However there is a special case with this strategy, in order to make it more re active and make use of the compound effect:
So lets say on july 1 when the data came in, the gross margin data came descending (indicating an exit for the long trade), however at the same the interest coverage ratio came as positive, or any of the other 3 left ratios left . In that case the next day after the trade closed, it will enter a new long position and wait again until a new quarter data for the financial is being published.
Regarding the guidelines of tradingview, they recommend to have more than 100 trades.
With this type of strategy, using Daily timeframe and data from financials coming each quarter(4 times a year), we only have the financial data available since 2016, so that makes 28 quarters of data, making a maximum potential of 28 trades.
This can however be "bypassed" to check the integrity of the strategy and its edge, by taking for example multiple stocks and test them in a row, for example, appl, msft, goog, brk and so on, and you can see the correlation between them all.
At the same time I have to say that this strategy is more as an educational one since it miss a risk management and other additional filters to make it more adapted for real live trading, and instead serves as a guiding tool for those that want to make use of fundamentals in their trades
If you have any questions, please let me know !
