Polylog Regression - Bitcoin (BTC) [Logue]Polynomial Logarithmic Regression. The BTC cycle tops and bottoms were separately fit using a polynomial regression. The extensions are linear; meaning the extensions will overestimate the future top and bottom bands. The bottom band was fit on much more data than the top band, so is likely to be more reliable. The shape of the regression into the future was estimated, so may not be accurate into the future.
Use this indicator at your own risk. I make no claims as to its accuracy in forecasting future tops or bottoms of bitcoin.
This is used in the "BBI - Bitcoin Bottom Indicator," "BTI - Bitcoin Top Indicator", and the "BTB - Bitcoin Top and Bottom Indicator". Please see these indicators for more information as to how to support me developing more indicators in my spare time.
Forecasting
ICT Handle CounterThe "Handle Counter" is a unique TradingView script designed for ease and effectiveness in tracking price movements. It's particularly useful for traders who follow ICT methodologies. Users manually input their trade entry price, and the script then dynamically calculates and displays the number of Handles, or price changes, in a clear box above the latest candle on the chart. This real-time updating feature provides traders with crucial, current data on price movement, aiding in informed decision-making and a better understanding of market dynamics.
The "Handle Counter" script operates in the following way:
User Input: It starts by allowing you to input your trade's entry price. This is the price level from which the script will measure price movement.
Handles Calculation: The script calculates "Handles," which represent the price difference from your entry point to the current market price. This is done using a mathematical formula that finds the absolute value of this difference.
Display Mechanism: The calculated Handles are then displayed in a box, which is positioned above the latest candle on your trading chart. This box updates in real-time, giving you an ongoing view of how many Handles (price changes) have occurred since your entry point.
This script is designed to be straightforward and easy to use, providing clear, real-time information.
How to use:
Add the Indicator.
Open the Menu by clicking on the 'Settings' icon.
Navigate to the 'Inputs' tab and enter your entry price.
Click 'OK.' The indicator should immediately place a box above the latest candle, showing the current handles.
Additional Settings
Change Color of the Box
Change Color of the Font
BTC Halving [YinYangAlgorithms]This Indicator not only estimates what it thinks may be the PRICE for the Start, High and Low of the Halving, but likewise estimates WHEN the Start, High and Low of Halving may be. It then creates Trend Lines based on these predictions so that you may get an evaluation towards if the Price is currently Overbought or Oversold. These Trend Lines may be very useful for seeing the Slope in which the Price may move if it is to reach the estimated Price by the estimated Date. By evaluating the Prices location based on these Trend Lines we may determine if the Price is currently Overbought or Oversold.
These Trend Lines likewise may help identify locations of Support and Resistance. If the Price is much higher than its current Trend Line it is Overbought. There is a chance it will Consolidate back to the Trend Line or it may even correct with a dump all the way back to it; the opposite is true if it is much lower than its current Trend Line.
Trend Lines and Estimates are not all that is featured within this Indicator however. There are also Price Zones which may help identify if the price is currently:
Very Overbought (Red)
Slightly Overbought (Orange)
Neutral (Yellow)
Slightly Oversold (Teal)
Very Oversold (Green)
These zones may help give you an idea of how the price is currently fairing and its potential for movement. Likewise, it may help define where Support and Resistance may be found.
The trend line estimates are done with an algorithm created to evaluate the difference between price and % change that has occurred between the Start, High and Low of all the halvings over how many days between each data type. This may allow us to make an educated estimate towards what Price and Date the Start, High and Low will occur at.
Our Zones are created by evaluating the current Market Cap and circulating supply vs Max Supply of BTC. This may help give us an evaluation of what Price may be considered to be Overbought and Oversold; and likewise may help with estimations of where there may be Support and Resistance based on these Zones.
Tutorial:
In the example above we’re displaying the Halving Start Trend Line, our Information Tables and our Estimated Halving Vertical Marker. This Trend Line may help to display not only the trajectory and slope the Price needs to take to reach the Estimated Halving Price by the Estimated Halving Date; but it may also help to show if the price is Overvalued or Undervalued based on its position above or below this Trend Line.
Based on the Trajectory of the Estimated High Upward Trend Line (Green Line) in the photo above and from the ‘High Date’ estimated in the Information tables; we may attempt to estimate the location the ATH of this Bull Market will create and the price slope it may follow in doing so. This Trajectory may be very useful for understanding the price action that may occur for it to reach the High estimated Price by the High estimated Date.
We currently allow for two different types of zones within our Settings, one called ‘Fast’ displayed in the example above; and the other called ‘Slow’ displayed in the example below.
Our Fast Zone aims to move the Zone Levels Faster in an attempt to move with volatility and parabolic movement. This may help to keep the Very Overbought (Red) and Very OverSold (Green) Levels more accurate by attempting to keep the price within them. By doing so, we may aim to keep all of the Slightly Overbought, Slightly Oversold and Neutral Levels more accurate as well.
The Levels within these zones are defined by the Bright (less transparent) Lines. Whereas the Darker (more transparent) lines represent the Basis Lines between two different levels. These Basis lines may likewise act as a Support and Resistance Location too, but generally hold less weight than the actual Levels themselves.
What you may see is that during the Bull Market, the price is within the very Overbought Zones and even touches again the Very Overbought Level a few times. Likewise, during the Bear Market, the price is within the very Oversold Zones and even slightly drops below the Very Oversold Level. This may be expected and likewise may help to give estimates at potential for growth and decay within the Price based on which condition the Market is within.
Slow Zones move a little slower than Fast Zones, however they may still be accurate. Likewise, it is up to you to decide which Zone works better for your specific Trading Style; however, by default, the Zone type is set to Fast.
If you refer to both the Fast and Slow examples above, you may notice in the Fast the Price is only slightly above the ‘Slightly Oversold’ (Teal) line. Also, In the Fast, the Price where the ‘Very Overbought’ Level is 100k. This is one of the many reasons we’ve opted for ‘Fast’ as the default, and it is because it allows more room for movement; and in our opinion, potentially accuracy as well.
If you refer to the Slow example, you’ll see that the price is currently facing the Neutral Level as a Resistance location. However, if you refer to the price residing at the Slows ‘Very Overbought’ Level, it is only 81.5k, compared to the 100k of Fast.
The BTC Halving is a major event that takes place roughly every 4 years. It historically has a major impact on the market, and some may even say it signifies the Start, or close to start of the Bull Market. Therefore, since historically there may be cycles that BTC and potentially crypto itself follows, we’ve developed this Indicator in hopes that it may solve one of the biggest questions traders face. What Date will the Start, High and Low of the Halving occur and also at what Price.
Hopefully this Tutorial has given you some guidance as to how this Indicator may be used to help identify some of these key levels; including the slope at which the price may have to move if it is to reach its projection Price by its projected Date.
Settings:
1. Show Prediction Trend Lines:
- Options:
All
Start + High
Start + Low
High + Low
Start
High
Low
None
- Description:
Prediction Trend Lines may be an important way to see the Slope the Price needs to take to reach the Predicted Price by the Predicted Date. This may be useful for identifying if the Price is currently Overbought or Oversold.
2. Zone Type:
- Options:
Fast
Slow
- Description:
Zone types change the way the Zones expand.
3. Show Zones:
- Options:
All
Zones
Basis
None
- Description:
Zones are a way of seeing Overbought and Oversold Price locations based on Market Cap and Circulating Supply vs Max Supply.
4. Vertical Markers:
- Options:
All
Line
Label
None
- Description:
Vertical Markers display where the Halving has occurred with a Vertical Line and Label.
5. Show Tables:
Tables may be useful for seeing the Price and Date for when the Start, High and Low of the Halving may occur.
6. Fill Zones:
Filling in Zones may help to identify which Zone the Price is currently in.
If you have any questions, comments, ideas or concerns please don't hesitate to contact us.
HAPPY TRADING!
TheSandyBananaTheSandyBanana is a comprehensive trading indicator designed for various asset classes. It combines multiple technical analysis tools to provide buy and sell signals, aiding traders in making informed decisions. This script is suitable for traders who prefer a combination of trend-following and momentum strategies.
Features:
RSI-Based Signals: Utilizes a modified Relative Strength Index (RSI) with an extended period of 200 bars for smoothing, providing a less reactive but more stable momentum indicator.
RSI EMA: Applies an Exponential Moving Average (EMA) with a 100-bar period to the RSI, further smoothing the RSI and aiding in the identification of longer-term momentum trends.
ATR for Volatility Analysis: Employs the Average True Range (ATR) over a 100-bar period, adjusted with a multiplier of 1. This is used to gauge market volatility and filter signals based on market dynamics.
Peak and Trough Detection: Detects peaks and troughs in the RSI EMA using refined logic and a lookback period of 33 bars, helping in pinpointing potential reversal points.
Dynamic Buy and Sell Signals: Generates buy signals when a trough is identified, and the RSI is below 50, indicating potential upward momentum. Sell signals are generated at peaks when the RSI is above 50, suggesting possible downward momentum.
333-Period EMA: Features a long-term 3333-period EMA, plotted on the chart for trend analysis and potential dynamic support or resistance levels.
Alert Conditions: Includes conditions for buy and sell alerts, making it easier for traders to be notified of potential trading opportunities.
Usage:
This indicator is best suited for traders looking for a blend of trend and momentum analysis. The extended periods used in RSI and EMA calculations make this indicator more suitable for medium to long-term trading strategies. Traders should consider combining this indicator with other forms of analysis (like fundamental analysis or additional technical indicators) for comprehensive trading strategies.
Disclaimer:
Trading involves risk. This script is provided for informational purposes only and should not be considered as financial advice. Traders should always conduct their own due diligence and use the script in a simulated environment before applying it to live trading.
Stock's Intrinsic Value| DCF modelScript Description
This pine script is based on a YouTube video titled: Warren Buffett: How to Calculate the Intrinsic Value of a Stock. Warren Buffett is a famous value investor who follows the principles of his mentor Benjamin Graham. He looks for companies that have strong competitive advantages, consistent earnings, and low debt. He also considers the intrinsic value of a company, which is the present value of its future cash flows, and compares it to the market price. He prefers to buy stocks that are trading below their intrinsic value and hold them for a long time.
One of the methods that Buffett uses to estimate the intrinsic value of a company is the discounted cash flow (DCF) model. This involves projecting the free cash flow (FCF) of the company for several years and then discounting it back to the present using an appropriate discount rate. The discount rate is usually the weighted average cost of capital (WACC) of the company, which reflects its cost of equity and debt. The sum of the discounted FCFs and terminal value is the intrinsic value of the company.
Lastly, a margin of safety is included when using the DCF method for stock valuation because of uncertainty and error in estimating future cash flows and the intrinsic value of the company.
When the current price is below margin of safety, it means that the stock is currently undervalued and being price at significantly below its intrinsic value.
Guideline for determining each variable in this script
FCF growth rate: This is the annual rate at which the free cash flow (FCF) of the company is expected to grow over a forecast 10-year period. You can use historical FCF growth rates, industry averages, analyst estimates, or your assumptions to project the FCF growth rate. The higher the FCF growth rate, the higher the intrinsic value will be.
Discount rate: This is the rate of return that you require to invest in the company. It reflects the risk and opportunity cost of investing in the company. You can use the weighted average cost of capital (WACC) of the company, capital pricing model (CAPM), hurdle rate, or market rate as the discount rate. The lower the discount rate, the higher the intrinsic value.
The margin of safety: Provides a cushion against errors in the valuation or adverse events that may affect the company. The margin of safety depends on your personal preference and risk tolerance. Normally is at 15% - 30%, the higher the margin of safety you set, the lower the chance that the stock will hit that level.
How to use this script
Step 1: This script only works for stocks that have financial data of free cash flow and total common shares outstanding
Step 2: Please use a yearly chart (12-month chart)
Step 3: You are required to determine a growth rate that will grow the free cash flow 10 years into the future
Step 4: You are required to determine a discount rate for the calculations
Step 5: You are required to add a margin of safety (Accounting for uncertainty)
Step 6: The rest of the calculations will be done automatically.
Disclaimer when using this script
I'm not a financial advisor
This script is for education purposes only
There are risks involved with stock market investing and investors should not act upon the content or information found here without first seeking advice from an accountant, financial planner, lawyer or other professional.
I can’t guarantee that this script will be error-free as I still consider myself a Pinescript beginner
Before making any decisions, investors should always research companies individually
I'll not be liable for any loss incurred, arising from the use of, or reliance on, this script
Limitations of this script
This script only works on the yearly chart (12 monthly charts)
The intrinsic value of a company will be negative if the company have a negative forecasted free cash flow
You need to make an educated guess about the growth rate, discount rate and margin of safety
This script uses free cash flow instead of owner's earnings (Operating cash flow - Maintenance capital expenditure), therefore it can't accurately estimate the maintenance capital expenditure.
Need at least 6 years’ worth of financial data
Market capitalisation uses total common shares outstanding multiplied by the closing price instead of using company-level total outstanding shares multiplied by the closing price
MA+ ProjectionThe "MA+ Projection" indicator is designed to visualize the potential future direction of a moving average, taking into account the impact of historical data loss. It is primarily aimed at providing a practical perspective on how moving averages could evolve as older data points are no longer considered.
Key Features:
Supported Moving Averages: SMA, EMA, WMA, VWMA, and VAWMA (Volume Adjusted WMA).
Flexible Time Span Settings: Customize the moving average length in bars, minutes, or days.
Adjustable Projection Scope: Set a percentage of the measurement to project forward.
Projection 'Cone': Show/hide the deviation and control the multiple.
Use Last Source Value: An option to add the latest known value to the moving window instead of only letting the window shrink. (Enabled by default.)
How It Works:
Given the specified parameters, it takes the selected moving average type (a known formula like SMA, EMA, or WMA), and projects the future data points by continuing to move the data 'window' forward without adding any more data. By default, it extends the average by assuming the price hasn't changed after the last bar. Alternatively, the projection can be the result of shrinking the window as it moves forward without adding any new data points.
Note:
This tool is for visual projection, not prediction. Its purpose is to aid in the analysis of potential future trends based on historical data, not to provide definitive market forecasts.
Seek liquidityGuided by ICT tutoring, I create this versatile "Seek liquidity" indicator.
This indicator shows an easy way to view the Liquidity that has been Created - Eliminated - and what liquidity is left to eliminate.
Liquidity levels appear after the sessions are over, and the lines get stuck on the candle that eliminates them.
Timing session =
//---Asian
- 18:00-00:00
//---London
- 00:00-02:00
- 02:00-05:00
- 00:00-06:00
//---New York
- 06:00-12:00
- 09.30-12.00
//---Lunch
- 12:00-13:30
//---PM
- 1.30pm - 4.00pm
- 12:00-18:00
The user has the possibility to:
- Choose whether or not to view sessions
- Choose to show levels from previous sessions
- Choose to show today's session levels
- Choose whether to view the boxes
- Choose to view the division is open daily
The indicator should be used as ICT shows in its concepts, the indicator takes into consideration both the previous and today's Liquidity, and the session levels can be used for a reversal as in the example below:
FX Forecasting Model [TrendX_]FX Forecasting Model indicator is a forecasting tool that takes advantages of macroeconomic analysis and market surveillance to predict Exchange rate movement.
*** Customize the macro data for home country (base currency) and foreign country
USAGE
This consists of 4 editable options align with 4 Forecasting Models
TrendX Model)
TrendX Model is a type of multiple linear regression, which is a statistical method that estimates the relationship between the currency exchange rate and various macroeconomic indicators.
*** Remember the 1st thing to do is to customize the macro data for home country (base currency) and foreign country, before take any further steps.
Purchasing Power Parity (PPP Model)
The PPP model is a conceptual model of currency exchange. The model illustrates how the exchange rate between two countries’ currencies is influenced by the variations in the prices of goods and services in those countries, which depend on the inflation rate. The activity of buying and selling goods and services internationally will shift the exchange rate to balance the prices in both countries.
Interest Rate Parity (IRP Model)
Interest Rate Parity (IRP) model is a theoretical model that relates the interest rates and the exchange rates of two countries. According to IRP, the difference between the forward and spot exchange rates of two currencies should be equal to the difference between their interest rates. IRP helps traders to determine the fair value of a currency pair and compare it with the market value. If the market value deviates from the fair value, then there is a potential for arbitrage or hedging.
Combined Forecast Model (Mixed Model)
Since each model has its own advantages, many people are interested in the concept of using a mix of forecasts to get better results than any single forecast. Mix Model is a method that uses different proportions of the forecasts from three models: TrendX, PPP and IRP models. The default proportion is 0.2 for TrendX, and 0.4 for both PPP and IRP. You can change these proportions according to your liking.
CONCLUSION
FX Forecasting Model Indicator is very practical for FOREX traders who wants to make informed and rational decisions based on Macroeconomic Analysis. It can help find arbitrage opportunity in currency exchange market. Accordingly, it can also be helpful for traders to use alongside other forms of Technical Analysis.
DISCLAIMER
The results achieved in the past are not all reliable sources of what will happen in the future. There are many factors and uncertainties that can affect the outcome of any endeavor, and no one can guarantee or predict with certainty what will occur.
Therefore, you should always exercise caution and judgment when making decisions based on past performance.
Advanced Buy and Sell SignalsThis script for TradingView is designed for technical traders seeking a more comprehensive and discerning market analysis. The script combines buy and sell signals from multiple popular technical indicators, providing a holistic view that can be useful for short to medium-term trading strategies. It incorporates the following features:
EMA Trend Cloud:
Two Exponential Moving Averages (EMAs) are calculated: a fast EMA and a slow EMA.
A "cloud" is formed on the chart, changing color as the EMAs cross, indicating potential trend shifts.
Additional Indicators:
RSI (Relative Strength Index): Used to identify overbought or oversold conditions.
Stochastic Oscillator: Helps determine the strength or weakness of the price.
OBV (On-Balance Volume) with EMA: Combines volume and price to show how volume might be influencing price direction.
Combined Buy and Sell Signals:
Buy and sell signals are generated based on a combination of the following criteria:
Crossings of the EMAs (indicative of trend changes).
Conditions of the RSI (identifying potential market extremes).
Crossings of the Stochastic Oscillator (indicating momentum).
Crossings of the OBV with its EMA (assessing the influence of volume on price movement).
Buy signals are indicated by green triangles below the price bars, while sell signals are indicated by red triangles above the price bars.
Alerts:
The script also includes alert conditions to notify the user when potential buy or sell signals are detected.
Application:
This script is suitable for traders who utilize technical analysis and seek to confirm their trading decisions with multiple sources of information. It is particularly useful in volatile markets, where the combination of different indicators can provide more reliable insights.
Note:
It is important to remember that no script or indicator can guarantee success in trading, and one should always consider risk and conduct thorough analysis before making trading decisions.
This script is most effective when used in conjunction with fundamental analysis and a solid understanding of the market.
FVG in MACROGuided by ICT tutoring, I created this versatile indicator to scan the FVG in MACRO time.
This indicator combines the MACRO time with the Fair value GAP (FVG) in an alternative way, showing a simple way of viewing the FVG within the MACRO time, so you can have a clearer view of which direction the MACRO is influencing
''MACRO is a delivery time frame of the interbank price in which it undergoes a series of controls and is likely to move towards liquidity.''
The user has the possibility to:
- Choose the relevant MACRO time
- Choose whether to view all FVGs in the MACROS
- Choose to view only the First FVG at each MACRO
The indicator should be used as shown by the ICT in its concepts, during the MACRO time the price can consolidate or can head towards liquidity.
The probability that the direction is correct increases with respect for the FVG, in this way it is possible to evaluate the entry zone in the FVG and the Take profit zone for Liquidity
As in the following example:
TrendFriendOverview
TrendFriend (TF) combines various technical analysis components, including trend calculations, moving averages, RSI signals, and Fair Value Gaps (FVG) detection to determine trend reversal and continuation points. The FVG feature identifies potential consolidation periods and displays mitigation levels.
Features
Trend Analysis: Utilizes short and long-term Running Moving Averages (RMA) to identify trends.
Average True Range (ATR): Plots ATR to depict market volatility.
RSI Signals: Calculates RSI and provides buy/sell signals based on RSI conditions.
Fair Value Gaps (FVG): Detects FVG patterns and offers options for customization, including dynamic FVG, mitigation levels, and auto threshold.
Usage
Buy Signals: Generated based on pullback conditions, contra-buy signals, and crossovers of specified moving averages.
Sell Signals: Generated based on pullback conditions, contra-sell signals, and crossunders of specified moving averages.
Visualization: FVG areas are visually represented on the chart, and unmitigated levels can be displayed.
Configuration
Adjustable parameters for trend periods, ATR length, RSI settings, FVG threshold, and display preferences.
Dynamic FVG detection and mitigation level visualization can be enabled/disabled.
Usage Example
Trend Analysis: Identify trends with short and long-term moving averages.
RSI Signals: Interpret RSI signals for potential reversals.
FVG Detection: Visualize Fair Value Gaps and mitigation levels on the chart.
Buy/Sell Signals: Receive alerts for buy/sell signals based on specified conditions.
Disclaimer
This Pine Script code is subject to the terms of the Mozilla Public License 2.0. Use this code at your own risk, and always conduct additional analysis before making trading decisions.
Author
Author: devoperator84
License: Mozilla Public License 2.0
ICT IPDAGuided by ICT tutoring, I create this versatile indicator "IPDA".
This indicator shows a different way of viewing the “IPDA” by calculating from START
(-20 / -40 / -60) to (+20 /+40 /+60) Days, showing the Highs and Lows of the IPDA of the Previous days and both of the subsequent ones, the levels of (-20 / -40 / -60) Days can be taken into consideration as objectives to be achieved in the range of days (+20 /+40 /+60)
The user has the possibility to:
- Choose whether to display IPDAs before and after START
- Choose to show High and Low levels
- Choose to show Prices
The indicator should be used as ICT shows in its concepts.
Example on how to evaluate a possible Start IPDA:
Example for Entry targeting IPDAs :
If something is not clear, comment below and I will reply as soon as possible.
William's Magic GridHere is an accurate and adaptive SR grid.
Best settings:
Zones: Large
Turn off Daily High and Low lines
5m TF
Steps:
1. Wait for price to get in a zone. Use break of structure and pullbacks to determine trend and safe entry.
2. Enter trade. Set TP a little before next zone. Set SL as desired.
3. Enjoy profits.
More edits to come.
Potential Profit at ATHUsage:
Enter how much of the particular coin you are holding within the settings area.
What this indicator does:
Grabs the current All Time High (ATH).
Uses the ATH to calculate the potential profit in percentage from the current price to ATH.
Calculates the potential profit in EUR based on the percentage in the previous calculation.
Displays the above-mentioned values on the screen as labels.
You now have a forecast of the potential profit you can make when you hodl to the ATH.
Attention: "The example uses 1 coin as default.
For a calculation of your holdings, make sure you enter the amount of the current coin you are holding"
Probability Pivot PointsProbability Pivot Points integrates a customizable Pivot Points indicator with conditional probabilities calculated from historical occurrences.
Features
Six different discretionarily Pivot Point Bias strategies utilizing Midpoint Pivot Points in bullish and bearish variants: Standard, Range, Continuation, Counter Trend, Expansion, and Extension.
Next Period's Pivot Points given the current period's OHLC data. Includes settings to use theoretical OHLC values to see what the next period's Pivot Points could look like.
Supports Traditional, Floor, Fibonacci, and Average True Range Pivot Point calculations.
Includes settings to customize the Fibonacci ratios and Average True Range calculations.
Automatically maximize or manually set the number of historical Pivot Points to draw.
Probability visualizations for the Pivot Points based on historical occurrences for the current and upcoming trading periods. The Probability Weighted Pivot (PWP) Point uses the probabilities calculated as weights against every displayed Pivot Point to show a mean of the data.
Load seasonal or non-seasonal historical data to calculate the odds of a High, Low, or Close occurring between any two Pivot Points.
Settings to manually set the weekly, monthly, and quarterly seasonal data loaded into the Pivot Probabilities feature. Automatic detection and loading of the current seasonal period's data is the default behavior. Includes a table that displays the data that's loaded.
Get probabilities for the currently selected Pivot Point Bias strategy.
Check the odds of High, Low, or Close occurrences at the strategy's marked Entry, Exit, or Stop Loss Pivot Points.
Seasonal Filters let you select specific years to sample probabilities from.
Customize pivot colors, width, label size, label color, Bias Entry and Exit Zone colors, Pivot Probability colors, and pick between the Point Five and M Legacy Midpoint label styles.
Auto Timeframe changes the Pivot Points higher timeframe based on the chart timeframe in use. Includes settings to customize what chart timeframes will display specific Pivot Point higher timeframes.
Q: Is this an update to your older Pivot Probabilities indicator?
Pivot Probabilities was designed to require a separately applied Pivot Points indicator to be interpreted and used properly. Probability Pivot Points is designed with an included set of Pivot Pivots that can interact with the probability calculations, which helps make improvements to new calculations and visualizations that Pivot Probabilities was never originally designed to do. Features from Pivot Probabilities are being completely redesigned, reimplemented, and expanded upon as a component in this larger Probability Pivot Points indicator. Anyone with access to the old Pivot Probabilities will also get access to Probability Pivot Points and are considered part of the same package.
WinningWave By Sercan V1Winningwave is a hurricane algorithm that works in all time frames and all transactions (stock exchange-coin), is too comprehensive to be explained in detail and includes many strategies.
To explain briefly; It is a layered oracle algorithm that gives signals by filtering the formations (Normal and Harmonic formations) created by multiple account movements containing many calculations and algorithms, based on the instantaneous momentum of the price and the overbought or oversold levels in a certain time period. Of course, formations refer to situations in which price movements occur in a certain order in financial markets. These patterns are specific patterns seen on the price chart and can often provide clues about future movements of prices. For example; Reverse Shoulder, Head and Shoulder, Symmetrical Triangle etc. Dozens of formation formation conditions and targets were filtered and made suitable for signaling. It also creates bands using YDK3 with the channel algorithm it contains. This band is usually calculated using the standard deviation method to measure price movements and indicate a specific deviation. The upper and lower bands obtained as a result of standard deviation calculations are drawn on the price chart. After a certain band is created, automatic expansion is carried out in order to predict possible movements of future prices. Additionally, Winningwave includes Ema calculations and has identified stop points after the main entry signal to help you in case you miss the main exit signal or choose a different strategy.
STRATEGY 1: As I mentioned in the general statement, the signals that emerged after many formations were filtered in 2 stages (SMI and CCI values served as filters for the formations) and the false signal rate was reduced to a minimum. You can combine signals into your own strategy using oscillators and tactics you trust.
It is important to remember that no indicator or tactic works 100% accurately. That's why filters and combinations are the right methods for you.
STRATEGY 2: Channel programs often create bands using the standard deviation method to indicate price movements and a specific deviation. Standard deviations are a measure of how far prices are generally from the mean. Channel programs draw price charts by creating upper and lower bands using these standard deviation values.
These bands can become very narrow depending on the playability of the price and the strength of the trends. In this way it can change the normal range of movement of prices and indicate potential overbought or oversold.
Once the channel is created, it is automatically expanded and gives us some clues about the direction of price movements. This expansion automatically signals the change according to the price movements of the bands. This feature becomes a predictive tool to predict price movements on the indicator.
Thus, using channel updates and standard deviation, the bands show the normal range of prices and these bands expand or contract dynamically, giving an idea about possible changes in prices. This can help investors gain insight into potential trend reversals or overbought or oversold prices.
In channel band strategy . It is a second strategy in which we calculate the profit rate with the most logical calculations when the prices touch the channel bottoms and channel tops and move up or down.
STRATEGY 3: We aimed to create a stop zone by blending the most appropriate ema values with buy signals. In some cases where you don't want to follow the signals or are confident in the transaction (written to filter out successive sell signals where price action generally rises without correction), it has created a more reliable stopping point for your trading strategy. It gives you a stopping point.
*** Calculations and mathematical settings will be in the menu. For healthy signals and filters, do not play with the numbers. For your personal use, color options or On-Off settings of each feature are available in the menu.
ICT Premium/DiscountGuided by ICT mentorship and help from TraderTim and its community, I created this versatile indicator to mark a "Premium/Discount" price range.
This indicator shows the Premium and Discount Zones in an alternative way, manually setting the start of the band and automatically shows the HTF and LTF FVG present only in the set band, having a cleaning of the graph from possible other distractions, so as to be able to have a clear vision clear of the set trading range
The user has the possibility to:
- Choose the start of the interval from the graph by moving the start line
- Choose to show levels 50% - 75% - 25% of the range
- Choose the color, style and size of the lines
- Choose to display FVG LTF or HTF in range
- Choose the FVG mitigation mode
The indicator must be used as shown by the ICT in its concepts, the Premium and Discount zones are nothing more than zones where the price risks retracing, and consequently we can evaluate making entries in the Premium Zone, Sell is evaluated, in the Discoutn Zone they are evaluated as Buy, taking the opposite area as Take Profit
As in the example below:
If anything is unclear, comment below and I will get back to you as soon as possible.
How to change range:
Historical Volatility StudyThe goal of this script it to provide you an idea to forecast the future momentum by looking at historical volatility.
This chart has basically three parts.
1. Three lines are there. The multi color line represents the historical annualized volatility in terms of minimum look back period . The white line represents the historical annualized volatility in terms of medium term look back period . The green line represents the historical annualized volatility in terms of longer term look back period .
2. The back ground color has three components. Green zone is the zone where overall volatility is on the lower side. Red zone is the zone where overall volatility is on the higher side. Purple zone means fluctuating volatility.
3. The multi color line has three colors. Red color means volatility moving towards extreme low. Yellow means it is moving towards extreme high. Purple means it is in normal course of action.
This tool can be used as a confirmation tool with other studies to aid you to make better decisions. For example- look at the diagram below.
Make your thorough study before making any trading decision. Thanks.
The Square of NineThe Square of Nine
█ OVERVIEW
This script is made to make it easy for traders to visualize the movement of price along the square of nine table. This script Places the square of nine table right infront of you in the middle of the screen, which is why it's suggested that you would use it on the side of your main chart.
This script gives you ability to adjust number of revolutions which is the number of rings making the square of nine table up to 9 revs.
You can also change the price unit ( increments ) for each step.
You can use this indicator as a visual reference to track the price action along the square of 9 and make sense of the mechanism behind turning points. It is made to complement both :
- Gann Static Square of 9
- Gann Dynamic Square of 9
You can enable all of the following degrees and adjust their visual appearances on the chart :
360, 45, 90, 135, 180, 225, 270, 315
█ Future Plans and upgrades to this script may include :
1. Adjustable starting price.
2. Astro Integrations.
3. Visuals and matching prices.
and more! feel free to let me know what you'd like to see!
█ How to use :
1. Put the script on your chart
2. Selected your desired levels to activate and the number of desired revolutions.
give the script a few seconds and you should be set.
MTF External Range Liquidity - SMC IndicatorsThe Multi-Timeframe External Range Liquidity highlights possible “Key Liquidity Zones” above and below Short-Term highs and lows. Allowing for the filtering out of shorter-term swings and easily identifying levels for possible “liquidity runs” or “stop runs”.
Purged Liquidity
This shows areas where the price has already reached above previous key highs or below previous key lows. Recognizing “Purged Liquidity” areas is useful for historical analysis and understanding prior liquidity-driven movements.
Open Liquidity
These mark possible or potential Open Liquidity Zones where the price might reach above or below short-term key highs and lows.
Multi-Timeframe Analysis
The Multi Timeframe Feature allows traders to have all “key Liquidity Levels” from higher and lower timeframes relative to the current timeframe. (Weekly and down to the 1-Minute Chart) while trading in real-time allowing the trader to keep the higher time frame “levels” in mind when trading on lower time frames.
1W BSL & 1W SSL indicate levels of transposed from the Weekly timeframe to the Daily timeframe or lower.
1D BSL & 1D SSL indicate levels of transposed from the Daily timeframe to the 4H timeframe or lower.
4H BSL & 4H SSL indicate levels of transposed from the 4H timeframe to the 1H timeframe or lower.
1H BSL & 1H SSL indicate levels of transposed from the 1H timeframe to the 15M timeframe or lower.
15M BSL & 15M SSL indicate levels of transposed from the 15M timeframe to the 5M timeframe or lower.
5M BSL & 5M SSL indicate levels of transposed from the 5M timeframe to the timeframes lower than 5M.
How This Can Help with Analysis
Timing Entries
This tool can be used to look for possible entry levels by looking at where the last run on liquidity (Purged Liquidity) above a previous key high or low was. The trader would use this indicator by waiting until the liquidity is purged before looking for a possible trade setup.
This helps in waiting for entries and may avoid or reduce the number of entries where the trade would get stopped due to an early entry.
Setting Possible Targets
This indicator can be used to look for higher time frame “Open Liquidity” key levels above short-term highs or below short-term lows as potential targets.
Other Key Features
Alerts on selected time frame “key levels”
Choose to show and hide levels on any timeframe.
Choose the number of the Purged and Open Liquidity desired to show on the chart.
Highlights the Daily, Weekly, and Monthly Highs and Lows.
One Setup for Life ICTGuided by ICT tutoring, I create this versatile 'One Trading Set Up For Life' indicator
This indicator shows a different way of viewing the "Highs and Lows" of Previous Sessions, drawing from the current day until 09:30 AM, the time at which the Highs and Lows of the previous day's sessions can be taken into consideration for a Reversal or for a Take profit.
Levels tested after 9.30am will be blocked so you have a good and clear view of the levels affected
Timing Session =
London: 02:00 to 05:00
New York: 9.30am to 12.30pm
Lunch: 12.30pm to 1pm
PM Session: 1.30pm to 4pm
The user has the possibility to:
- Choose to view sessions or not
- Choose to show levels from previous sessions
- Choose to show today's session levels
- Choose between 08:30 and 09:30 the starting time for the Liquidity taken
- Choose to view High and Low only from the previous day
- See both the name of the Sessions and the price of the levels
The indicator must be used as ICT shows in its concepts, the indicator takes into consideration both previous sessions and today's sessions, and the session levels can be used both for a reversal and for a possible Take Profit like the example here under
Reversal =
Possible Take Profit =
If something is not clear, comment below and I will reply as soon as possible.
KNN ATR Dual Range Predictions [SS]Excited to release this indicator!
I wanted to do a machine learning, ATR based indicator for a while, but I first had to learn about machine learning algos haha.
Now that I have created a KNN based regression methodology (shared in a previous indicator), I can finally do it!
So this is a Nearest Known Neighbor or KNN regression based indicator that uses ATR (average ranges) to predict future ranges.
It operates by calculating the move from High to Open and Open to Low and performing KNN regression to look for other, similar instances of similar movements and what followed those movements.
It provides for 2 methods of KNN regression, the traditional Cluster method (where it identifies a number of clusters within a tolerance range and averages them out), or the method of last instance (where it finds the most recent identical instance and plots the result from that).
You can toggle the parameters as you wish, including the:
a) Type of Regression
b) Number of Clusters
c) Tolerance for Clusters
Others functions:
The indicator provides for the ability to view 2 different timeframe targets. The default calculation is the current timeframe you are on. So if you are on the 1 minute, 5 minute or 1 hour, it will automatically default the primary range to this timeframe. This cannot be changed.
But it permits for a second prediction to be calculated for a timeframe you can specify. The example in the chart above is the 1 hour overlaid on the 5 minute chart.
You can see how the model is performing in the statistics table. The statistics table can be removed as well if you don't want it overlaid on your chart.
You can also toggle off and on the various ranges. IF you only want to visualize 1 hour levels on a 5 minute chart, you can toggle off the bands and just view the higher tf data. Inversely, if you only want the current timeframe data and not the higher tf data, you can toggle the higher tf data off as well.
General Use Tips:
Some general use tips include:
🎯The default settings are appropriate for most common tickers. Because this is performing an autoregression on itself, the parameters tend to be more tight vs. performing dual correlation between two separate tickers which are sizably different in scale (which would require a higher tolerance).
Here is an example of YM1!, which is a sizably larger ticker, however it is performing well with the current settings.
🎯 If you get not great results from your ranges or an error in the correlation table, something like this:
It means the parameters are too tight for what you want to do and it is having trouble identifying other, similar cases (in this case, the lookback length was significantly shortened). The first step is to:
a) Expand your lookback range (up to 500 is usually sufficient). This should resolve most issues in most cases. If not:
b) If you are using the Cluster method, try broadening your cluster tolerance by 0.5 increments.
Between those two implementations, you should get a functional model. And it actually honestly hasn't happened to me in general use, I had to force that example by significantly shortening the lookback period.
Concluding Remarks
And that's pretty much the indicator.
I hope you enjoy it! I was really excited to be finally able to do it, like I said I attempted to do this for a while but needed to research the whole KNN process and how its performed.
Enjoy and leave your comments and questions below!
Data from dataThe "Data from Data" indicator, developed by OmegaTools, is a sophisticated and versatile tool designed to offer a nuanced analysis of various market dynamics, catering to traders and investors seeking a comprehensive understanding of price movements considering a large amount of data and variables.
The uses of this indicator are nonconventional. You can use the indicator as a stand-alone tool on the chart, hiding the current symbol price data, to be able to analyze the price action with the Semaphore visualization method, you can also hide the indicator and choose from your favorite indicators and oscillator one of the data output as a source to have additional insight on the asset.
The last use of this indicator, which depends on the X Value that you set in the settings, is to have a possible scenario for the future outcomes of the markets. Remember that there is no tool that can really predict what the market will do in the future, this tool applies a large amount of formulas to use past prices as an indication that aims to be as close as possible to the future prices. The X Value not only changes the lookback of the formulas but also changes the number of future scenarios that the indicator will plot on the chart.
Key Features:
1. Rate of Change Analysis:
The indicator evaluates the rate of change variations in closing prices, providing insights into the current rate of change and expected rate of change variation.
2. Momentum Analysis:
Momentum is analyzed through calculations involving simple moving averages, offering expected values derived from momentum and momentum variation.
3. High/Low Variation:
The expected market behavior is assessed based on the average variation between high and low prices, contributing to a more holistic analysis.
4. Liquidity Targets:
Liquidity targets can be found by analyzing the highs and lows in the direction of the current fair price.
5. Regression Sequence:
Linear regression analysis is applied to closing prices, assessing momentum and providing expected values based on regression sequences.
6. Volume Presence:
The indicator evaluates the Rate of Change (ROC) by volume presence, offering insights into price movements influenced by trading volume.
7. Liquidity Grabs:
Expected market behavior is determined based on liquidity grabs, considering both current and historical price levels.
8. Fair Value Analysis:
Expected values are derived from fair value closes and fair value highs and lows, contributing to a more nuanced analysis of market conditions.
9. STT (Sequential Trend Test):
The Sequential Trend Test is employed to analyze market trends, providing expected values for a more informed decision-making process.
Visualization:
The indicator shows a "Semaphore" on the chart, visually representing all of the data extrapolated from the script. The visualization can be more minimalistic or more complex, to let the user decide that, in the settings, it's possible to decide if to show all of the data or only the average.
Additionally, the user can choose to display bars on the chart, that visualize the standard high and low of the price data, with the difference between the expected forecasted value and the actual closing price.
My suggestion is to try to change the colors of the data to fit best your eye and the data that you find more useful, and also to try to change some parameters from circle to line as a visualization method to catch with more ease some price patterns.
Error Analysis:
The indicator provides a detailed error analysis, including historical error, average error, and present error. This information is presented in a user-friendly table for quick reference. This table can be used to analyze the margin of error of the expected future price.
