Bitcoin Market Cap wave model weeklyThis Bitcoin Market Cap wave model indicator is rooted in the foundation of my previously developed tool, the : Bitcoin wave model
To derive the Total Market Cap from the Bitcoin wave price model, I employed a straightforward estimation for the Total Market Supply (TMS). This estimation relies on the formula:
TMS <= (1 - 2^(-h)) for any h.This equation holds true for any value of h, which will be elaborated upon shortly. It is important to note that this inequality becomes the equality at the dates of halvings, diverging only slightly during other periods.
Bitcoin wave model is based on the logarithmic regression model and the sinusoidal waves, induced by the halving events.
This chart presents the outcome of an in-depth analysis of the complete set of Bitcoin price data available from October 2009 to August 2023.
The central concept is that the logarithm of the Bitcoin price closely adheres to the logarithmic regression model. If we plot the logarithm of the price against the logarithm of time, it forms a nearly straight line.
The parameters of this model are provided in the script as follows: log(BTCUSD) = 1.48 + 5.44log(h).
The secondary concept involves employing the inherent time unit of Bitcoin instead of days:
'h' denotes a slightly adjusted time measurement intrinsic to the Bitcoin blockchain. It can be approximated as (days since the genesis block) * 0.0007. Precisely, 'h' is defined as follows: h = 0 at the genesis block, h = 1 at the first halving block, and so forth. In general, h = block height / 210,000.
Adjustments are made to account for variations in block creation time.
The third concept revolves around investigating halving waves triggered by supply shock events resulting from the halvings. These halvings occur at regular intervals in Bitcoin's native time 'h'. All halvings transpire when 'h' is an integer. These events induce waves with intervals denoted as h = 1.
Consequently, we can model these waves using a sin(2pih - a) function. The parameter determining the time shift is assessed as 'a = 0.4', aligning with earlier expectations for halving events and their subsequent outcomes.
The fourth concept introduces the notion that the waves gradually diminish in amplitude over the progression of "time h," diminishing at a rate of 0.7^h.
Lastly, we can create bands around the modeled sinusoidal waves. The upper band is derived by multiplying the sine wave by a factor of 3.1*(1-0.16)^h, while the lower band is obtained by dividing the sine wave by the same factor, 3.1*(1-0.16)^h.
The current bandwidth is 2.5x. That means that the upper band is 2.5 times the lower band. These bands are forming an exceptionally narrow predictive channel for Bitcoin. Consequently, a highly accurate estimation of the peak of the next cycle can be derived.
The prediction indicates that the zenith past the fourth halving, expected around the summer of 2025, could result in Total Bitcoin Market Cap ranging between 4B and 5B USD.
The projections to the future works well only for weekly timeframe.
Enjoy the mathematical insights!
Kitaran
Bitcoin wave modelBitcoin wave model is based on the logarithmic regression model and the sinusoidal waves, induced by the halving events.
This chart presents the outcome of an in-depth analysis of the complete set of Bitcoin price data available from October 2009 to August 2023.
The central concept is that the logarithm of the Bitcoin price closely adheres to the logarithmic regression model. If we plot the logarithm of the price against the logarithm of time, it forms a nearly straight line.
The parameters of this model are provided in the script as follows: log (BTCUSD) = 1.48 + 5.44log(h).
The secondary concept involves employing the inherent time unit of Bitcoin instead of days:
'h' denotes a slightly adjusted time measurement intrinsic to the Bitcoin blockchain. It can be approximated as (days since the genesis block) * 0.0007. Precisely, 'h' is defined as follows: h = 0 at the genesis block, h = 1 at the first halving block, and so forth. In general, h = block height / 210,000.
Adjustments are made to account for variations in block creation time.
The third concept revolves around investigating halving waves triggered by supply shock events resulting from the halvings. These halvings occur at regular intervals in Bitcoin's native time 'h'. All halvings transpire when 'h' is an integer. These events induce waves with intervals denoted as h = 1.
Consequently, we can model these waves using a sin(2pih - a) function. The parameter determining the time shift is assessed as 'a = 0.4', aligning with earlier expectations for halving events and their subsequent outcomes.
The fourth concept introduces the notion that the waves gradually diminish in amplitude over the progression of "time h," diminishing at a rate of 0.7^h.
Lastly, we can create bands around the modeled sinusoidal waves. The upper band is derived by multiplying the sine wave by a factor of 3.1*(1-0.16)^h, while the lower band is obtained by dividing the sine wave by the same factor, 3.1*(1-0.16)^h.
The current bandwidth is 2.5x. That means that the upper band is 2.5 times the lower band. These bands are forming an exceptionally narrow predictive channel for Bitcoin. Consequently, a highly accurate estimation of the peak of the next cycle can be derived.
The prediction indicates that the zenith past the fourth halving, expected around the summer of 2025, could result in prices ranging between 200,000 and 240,000 USD.
Enjoy the mathematical insights!
Personal Trading Hours (timezone Europe/Amsterdam)This Personal Trading Hours indicator is intended to specify the times you can trade and make them visible on the chart. Multiple sessions can be specified per specific day of the week and you can give each day its own color if you want.
This can be used perfectly if you are backtesting your strategy manually. You can indicate exactly when you have time to look at the charts and therefore only perform your backtest at those times. Making mistakes that you open en close trades during your sleeptime or worktime in your backtest are gone.
But this indicator is also suitable for live trading.
Filter out the times when you don't want to trade, for example during lunchtime, during opening hours of the exchanges or when you know that big news events will take place during your tradingweek. All the timesessions you do want to trade you can make visible on you chart.
The timezone that is used for this indicator is the timezone: Europe/Amsterdam and therefor only usable for traders in this timezone.
You can use this indicator for timeframes lower then the Daily timeframe with the normal settings. If you want to use this indicator on the Daily timeframe, all the settings in the upper part of the settingsmenu must be unchecked and only the part at the bottom of the settingsmenu can then be used.
This indicator doesn't work on timeframes higher than the Daily timeframe.
If you do not use all the tradingsessions on each day, you have to make sure that all the boxes are filled. So unused session boxes must have the same timeperiodes as the used boxes, otherwise the whole day will be highlighted on the chart.
Hybrid EMA AlgoLearner⭕️Innovative trading indicator that utilizes a k-NN-inspired algorithmic approach alongside traditional Exponential Moving Averages (EMAs) for more nuanced analysis. While the algorithm doesn't actually employ machine learning techniques, it mimics the logic of the k-Nearest Neighbors (k-NN) methodology. The script takes into account the closest 'k' distances between a short-term and long-term EMA to create a weighted short-term EMA. This combination of rule-based logic and EMA technicals offers traders a more sophisticated tool for market analysis.
⭕️Foundational EMAs: The script kicks off by generating a 50-period short-term EMA and a 200-period long-term EMA. These EMAs serve a dual purpose: they provide the basic trend-following capability familiar to most traders, akin to the classic EMA 50 and EMA 200, and set the stage for more intricate calculations to follow.
⭕️k-NN Integration: The indicator distinguishes itself by introducing k-NN (k-Nearest Neighbors) logic into the mix. This machine learning technique scans prior market data to find the closest 'neighbors' or distances between the two EMAs. The 'k' closest distances are then picked for further analysis, thus imbuing the indicator with an added layer of data-driven context.
⭕️Algorithmic Weighting: After the k closest distances are identified, they are utilized to compute a weighted EMA. Each of the k closest short-term EMA values is weighted by its associated distance. These weighted values are summed up and normalized by the sum of all chosen distances. The result is a weighted short-term EMA that packs more nuanced information than a simple EMA would.
ICT Clean Midnight [dR-Algo]
Are you a trader who values clean charts and precise indicators? Are you an avid follower of ICT Concepts? If so, the Midnight Marker is tailored for you. This ultra-simple, highly effective TradingView script draws a nearly transparent blue line at midnight on your chart, keeping your interface as clean as possible while delivering essential information.
Why is "ICT Clean Midnight" so Special?
Focus on Price Action: The minimalist design ensures that you can focus solely on price action, which is a core principle of ICT teachings.
Easy Back Testing: Whether you're trading live or back-testing strategies, the midnight marker helps you quickly identify key time points.
Customizable: Though designed to be subtle, the line's color and opacity can be easily customized to suit your charting needs.
This indicator embodies ICT's principle of maintaining a clutter-free, focus-driven trading environment. Perfect for both novice traders wanting to adopt ICT concepts and seasoned traders looking for minimalistic yet effective tools.
Pro Momentum CalculatorThe Pro Momentum Calculator Indicator is a tool for traders seeking to gauge market momentum and predict future price movements. It achieves this by counting consecutive candle periods above or below a chosen Simple Moving Average (SMA) and then providing a percentage-based probability for the direction of the next candle.
Here's how this principle works:
1. Counting Consecutive Periods: The indicator continuously tracks whether the closing prices of candles are either above or below the chosen SMA.
- When closing prices are above the SMA, it counts consecutive periods as "green" or indicating potential upward momentum.
- When closing prices are below the SMA, it counts consecutive periods as "red" or suggesting potential downward momentum.
2. Assessing Momentum: By monitoring these consecutive periods, the indicator assesses the strength and duration of the current market trend.
This is important information for traders looking to understand the market's behavior.
3. Predicting the Next Candle: Based on the historical data of consecutive green and red periods, the indicator calculates a percentage probability for the direction of the next candle:
- If there have been more consecutive green periods, it suggests a higher likelihood of the next candle being green (indicating a potential upward movement).
- If there have been more consecutive red periods, it suggests a higher likelihood of the next candle being red (indicating a potential downward movement).
The Pro Momentum Calculator indicator's versatility makes it suitable for a wide range of financial markets, including stocks, Forex, indices, commodities, cryptocurrencies...
Time Cycles IndicatorThis script is used to analyze the seasonality of any asset (commodities, stocks, indices).
To use the script select a timeframe D or W and select the months you are interested in the script settings. You will see all the candles that are part of those months highlighted in the chart.
You can use this script to understand if assets have a cyclical behavior in certain months of the year.
ICT Kill Zones [dR-Algo]ICT Kill Zones Indicator by dR-Algo
Introducing the dR-Algo's ICT Kill Zones Indicator – a tool meticulously crafted to blend with the elegance of the ICT Concept of Kill Zones. Built for traders who seek clarity and focus, this unique indicator is tailored to highlight the essential time frames while ensuring minimal distraction from the core price action.
Key Features:
Three Kill Zones:
London Kill Zone: Kickstart your trading day with the London Kill Zone, highlighting the critical period between 03:00 to 04:00 (UTC-4). The London session, known for its volatility due to the overlapping of the Asian session, is captured precisely for your benefit.
NY AM Session: As the European markets gear towards close and the US markets come alive, our indicator emphasizes the activity from 10:00 to 11:00 (UTC-4). It’s a window where significant market moves often originate.
NY PM Session: Capture the late-day trading action between 14:00 to 15:00 (UTC-4). As markets prepare to close, this time frame can offer last-minute opportunities.
Subtle Yet Effective Visualization: Unlike many other indicators that bombard traders with an array of colors, our ICT Kill Zones Indicator is intentionally designed to be subtle. It provides just the right amount of visual emphasis without overwhelming the chart. The primary goal is to let traders focus on what truly matters: the price action.
User-Friendly Customization: The indicator's settings can be easily tailored to align with individual trading styles, allowing traders to adjust and tweak as per their preference.
Seamless Integration with Trading View: Smoothly integrates with your TradingView charts ensuring optimal performance and real-time responsiveness.
Why Choose Our ICT Kill Zones Indicator?
The market is flooded with indicators, each promising to be the 'next big thing.' What sets dR-Algo's ICT Kill Zones Indicator apart is its dedication to simplicity and effectiveness. It's not just about adding an indicator to your chart; it's about adding value to your trading experience. By seamlessly merging vital time frames without overshadowing the price action, we ensure traders get the best of both worlds.
Join the trading revolution with dR-Algo and embrace a focused approach to the markets.
Bull and Bear Market '20% IndicatorThis indicator uses the somewhat crude method of calculating bear/bull markets using the following popular ' 20% rule ':
A bear market begins when an asset trades 20% below its recent high for more than two months, a bear market ends when an asset trades 20% above its recent low for one month or more.
The 1d time-frame should be used, here's why:
"A bear market begins when an asset trades 20% below its recent high for more than two months."
If we take the standard trading month to be around 20-22 days (excluding weekends), then two months would be approximately 40-44 days. This is why we set the `bearDuration` to 60 days in the script to capture the "more than two months" criteria. Using a daily timeframe, 60 bars represent roughly 3 months (since markets are not open every day due to weekends and holidays).
"...a bear market ends when an asset trades 20% above its recent low for one month or more."
This is why the `bullDuration` is set to 20 days in the script, which represents roughly one trading month on a daily timeframe.
So, to capture the mentioned bear and bull market definitions, you'd want to apply the script on a daily (1d/1D) chart.
MMA mainpanelI stumbled on the MMA in the “Active Investing” course notes by Alan Hull (who invented the Hull Moving Average)
alanhull.com
He writes on page 13:
“Multiple moving averages, MMAs, are a sophisticated tool that can be used in a range of applications. MMAs are a series of lines that track and filter the weekly price movements. They consist of 2 sets of lines that allow Technical Analysts to observe and compare the immediate behavior of price activity with the long term behavior of the price activity. Exponential moving averages are used for this type of analysis. The price bars in the following chart have been switched off to improve readability of the MMA lines.”
“Once we have found a share that has an acceptable 'Rate of return' we must make a qualitative judgment of the trend. We are looking for a strong and consistent trend that is not likely to reverse shortly after we enter the market. The following points are critical;
- The long term group must be spreading apart or running parallel with each other.
- The long term group must be pointing upwards.
- The straighter the long term group of lines are; the less volatile the trend is.
- The short term group can pullback (ie. compress together) but if they cross into the long term group then the trend is weakening and may be about to break.
This type of qualitative analysis is only used when entering the market and the idea is to avoid volatility. We want to 'Buy and Hold' and not get bounced in and out of the market. Judging the quality of trends is the most subjective function we will have to perform.”
Because I tend to close positions too soon, I tried MMA. I found that it can help me to stay in position as long as the trend is going on. TradingView offers several scripts for MMA, this version differs from the others because I added color zones and linecolor changes to mark the trend according to Alan’s norms:
An uptrend is marked with a blue zone when the short term group is above the long term group and the long term group is sorted correctly and ema50 points up. The zone is purple when vice versa in downtrend. When there is no trend no zone is colored, but the lines are made gray.
Because of Alan’s idea to show MMA without price bars, I created both an overlay version for the main panel and a version for a sub panel.
US Recession IndicatorThe US Recession Indicator is designed to identify recessions as they happen, using two reputable indicators that have accurately foreseen all past recessions since 1969. Unlike the National Bureau of Economic Research (NBER) which determines recession dates after the fact, this indicator seeks to spot recessions in real-time. When both of these distinct metrics meet certain criteria, the chart's background becomes shaded, signifying a strong likelihood that the economy is in a recession. Furthermore, a built-in alert system keeps users updated without constant monitoring.
The first metric is the Smoothed Recession Probabilities developed by Marcelle Chauvet. It is based on a dynamic-factor markov-switching model that assesses four monthly coincident variables: non-farm payroll employment, the index of industrial production, real personal income excluding transfer payments and real manufacturing and trade sales. It offers a mathematical analysis of how recessions deviate from expansions. In essence, this index mirrors the probability of the prevailing true economic situation being a recession, grounded on the current GDP data.
The second metric is the Sahm Rule Recession Indicator developed by Claudia Sahm. It operates on the principle that changes in the unemployment rate can be used to identify the onset of a recession. According to this rule, if the three-month moving average of the unemployment rate rises by 0.5 percentage points or more above its lowest point from the preceding year, it flags a potential recession.
For this combined indicator, the thresholds are intentionally set lower than when each metric is used individually. Both metrics must simultaneously suggest a potential recession in order to send a signal. This stems from the realisation that neither metric is infallible and has, on occasion, sent false signals in the past. By requiring both to align, the likelihood of a false positive is reduced. However, it's crucial to understand that past performance does not guarantee future results, leaving the door open for potential false alerts which may not be confirmed by the NBER.
Global Liquidity IndexThe Global Liquidity Index offers a consolidated view of all major central bank balance sheets from around the world. For consistency and ease of comparison, all values are converted to USD using their relevant forex rates and are expressed in trillions. The indicator incorporates specific US accounts such as the Treasury General Account (TGA) and Reverse Repurchase Agreements (RRP), both of which are subtracted from the Federal Reserve's balance sheet to give a more nuanced view of US liquidity. Users have the flexibility to enable or disable specific central banks and special accounts based on their preference. Only central banks that both don’t engage in currency pegging and have reliable data available from late 2007 onwards are included in this aggregated liquidity model.
Global Liquidity Index = Federal Reserve System (FED) - Treasury General Account (TGA) - Reverse Repurchase Agreements (RRP) + European Central Bank (ECB) + People's Bank of China (PBC) + Bank of Japan (BOJ) + Bank of England (BOE) + Bank of Canada (BOC) + Reserve Bank of Australia (RBA) + Reserve Bank of India (RBI) + Swiss National Bank (SNB) + Central Bank of the Russian Federation (CBR) + Central Bank of Brazil (BCB) + Bank of Korea (BOK) + Reserve Bank of New Zealand (RBNZ) + Sweden's Central Bank (Riksbank) + Central Bank of Malaysia (BNM).
This tool is beneficial for anyone seeking to get a snapshot of global liquidity to interpret macroeconomic trends. By examining these balance sheets, users can deduce policy trajectories and evaluate the global economic climate. It also offers insights into asset pricing and assists investors in making informed capital allocation decisions. Historically, riskier assets, such as small caps and cryptocurrencies, have typically performed well during periods of rising liquidity. Thus, it may be prudent for investors to avoid additional risk unless there's a consistent upward trend in global liquidity.
Oil Price Prediction (Highly Accurate)It's a little-known fact that gold prices move preceded oil prices by 20 months.
If you don't believe me here is a short video from Tom McClellan discussing this www.cnbc.com
This gives us one of the best and highly accurate indicators of what oil will do in the months to come.
HOW TO USE.
When adding the script to your charts it's important to make a couple of adjustments.
Click the triple dots (...), scroll down to pin to scale, and click pin to new scale.
Rght-click the new scale and click auto (fits data to screen)
Go into the indicator settings and turn off the red line.
What you'll be left with is a price projection on where oil prices will go. This becomes your 30,000-foot view. It is important for traders to know if they're coming into a bullish, bearish or consolidating market and this indicator does that.
Its important to mention this is for Monthly charts.
Happy Trading
[R]2 - ReversionThe Idea:
I had the idea for this script when I read an article about how assets tend to revert to their long-term average or mean. The concept behind "R2" is based on the assumption that extreme deviations from the average tend to be corrected. For example, if an asset is trading well above its historical average, there is a possibility that the price will return towards the average. Conversely, if an asset is trading well below its average, there is a tendency for it to move back towards the average.
This concept serves as the foundation for this script. I have tried to keep the representation as simple as possible, and please remember that "Reversion" (as it's called in financial terms) is not a guaranteed rule but a statistical phenomenon.
The Indicator:
This indicator calculates the average and the distance of closing prices from this average every X periods. The calculated value fluctuates between 0. If the calculated value moves from above towards the zero line, it may indicate further declining prices. If the value moves from below towards the zero line, it may indicate rising prices. If the value is below the zero line, the area between the zero line and the calculated value is displayed in red. If the value is above the zero line, the area is displayed in green.
You can adjust the number of periods. The 'Multiplier' allows you to set how sensitive the indicator reacts, and the 'Threshold' variable sets the threshold for calculating a new average. It's best to adjust the settings to find the most suitable configuration for your needs.
AlexD Intraday market footprintThe indicator shows probability of a moving average non reversal at certain moment of day.
IMF_Predict line shows the probability of a reversal for the specified period.
moving average - period/2 shifted sma of typical price ( (close+high+low)/3 ).
Parameters:
Number of days - previous days to calculate the probability
SMA filter period - chart smoothing period
IMF smooth period - additional indicator smoothing after calculation
IMF predict period - period for calculating the probability of a reversal in the next N bars
Skip N hours in days(optimisation) - I recommend a half of the normal session time. Low values - long calculation time, High values - skipping days.
Indian Market Sessions for BacktestingThis indicator is designed to increase the quality of your backtesting in the Indian Market.
NSE & BSE run from 9:15 am IST to 3:30 pm IST.
Naturally different times have different kinds of volatility.
On your chart you will find premarked -
Saffron - 9:15 am to 10:30 am - Opening Session - High Volatility Observed Historically
White - 10:35 am to 2:25 pm - Middle Session - Lower Volatility Observed Historically
Green - 2:30 pm to 3:30 pm - Closing Session - Medium to High Volatility Observed Historically
You will also find the start of each session marked with an arrow.
Feel free to change the times from the input settings and the color and visibility from the style settings.
_______________
Usage:
When you backtest any strategies, say moving average crossovers, also mark the sessions in your sheet which will help you further increase accuracy.
Feel free to drop your doubts in the comments.
Earnings Yield SpreadThe Earnings Yield Spread might offer an investor some insight into areas of value.
Earnings yield is the ratio of Diluted earnings per share over the trailing twelve months (TTM) to the company’s share price. Earnings yield shows how much the company has earned per share as a percentage of its share price. It shows investors how much yield they are getting in earnings in return for owning the stock at its current share price. (Thank you, TradingView)
One might wonder how the earnings yield on their investment compares to the yield on a US 10 year treasury bond. The Earnings Yield Spread indicator will read above zero if the stock in question earnings yield is higher than US10Y and will read below zero if the stock in question earnings yield is lower than the US10Y.
Earnings yield is relative to the stock in question, so comparisons should be drawn to its own historical reading and not to other symbols.
Price Legs: Average Heights; 'Smart ATR'Price Legs: Average Heights; 'Smart ATR'. Consol Range Gauge
~~ Indicator to show small and large price legs (based on short and long input pivot lengths), and calculating the average heights of these price legs; counting legs from user-input start time ~~
//Premise: Wanted to use this as something like a 'Smart ATR': where the average/typical range of a distinct & dynamic price leg could be calculated based on a user-input time interval (as opposed to standard ATR, which is simply the average range over a consistent repeating period, with no regard to market structure). My instinct is that this would be most useful for consolidated periods & range trading: giving the trader an idea of what the typical size of a price leg might be in the current market state (hence in the title, Consol Range gauge)
//Features & User inputs:
-Start time: confirm input when loading indicator by clicking on the chart. Then drag the vertical line to change start time easily.
-Large Legs (toggle on/off) and user-input pivot lookback/lookforward length (larger => larger legs)
-Small Legs (toggle on/off) and user-input pivot lookback/lookforward length (smaller => smaller legs)
-Display Stats table: toggle on/off: simple view- shows the averages of large (up & down), small (up & down), and combined (for each).
-Extended stats table: toggle on/off option to show the averages of the last 3 legs of each category (up/down/large/small/combined)
-Toggle on/off Time & Price chart text labels of price legs (time in mins/hours/days; price in $ or pips; auto assigned based on asset)
-Table position: user choice.
//Notes & tips:
-Using custom start time along with replay mode, you can select any arbitrary chunk of price for the purpose of backtesting.
-Play around with the pivot lookback lengths to find price legs most suitable to the current market regime (consolidating/trending; high volatility/ low volatility)
-Single bar price legs will never be counted: they must be at least 2 bars from H>>L or L>>H.
//Credits: Thanks to @crypto_juju for the idea of applying statistics to this simple price leg indicator.
Simple View: showing only the full averages (counting from Start time):
View showing ONLY the large legs, with Time & Price labels toggled ON:
Bull / Bear Market RegimeBull / Bear Market Regime
Instructions:
- A simple risk on or risk off indicator based on CBOE's Implied Correlation and VIX to highlight and indicate Bull / Bear Markets. To be used with the S&P500 index as that's the source from where the CBOE calculates and measures implied volatility & implied correlation. Can also be used with the other indices such as: Dow Jones, S&P 500, Nasdaq, & Nasdaq100, & Index ETF's such as DIA, SPY, QQQ, etc.
- Know the active regime, see the larger picture using the Daily or Weekly view, and visualize the current "Risk On (Bull) or Risk Off (Bear)" environment.
Description:
- Risk On and Risk Off simplified & visualized. Know if we are in a RISK ON or RISK OFF environment (Bull or Bear Market). (Absolute bottoms and tops will occur BEFORE a Risk On (Bull Market) or Risk Off (Bear Market) environment is confirmed!) This indicator is not meant to bottom tick or uptick market price action, but to show the active regime.
- Green: Bull Market, Risk On, low volatility, and low risk.
- Red: Bear Market, Risk Off, high volatility, and higher risk.
Buy & Sell Indicators (DAILY time frame)
- Nothing is 100% guaranteed! Can be used for short to medium term trades at the users discretion in BEAR MARKETS!!
- These signals are meant to be used during a RISK OFF / BEAR MARKET environment that tends to be accompanied with high volatility. A Risk on / Bull Market environment tends to have low volatility and endless rallies, so the signals will differ and in most instances not apply for Bull market / Risk on regime.
- The SELL signal will more often than not signal that a pullback is near in a BULL market and that a BMR-Bear Market Rally is almost over in a BEAR market.
- The BUY signal will have far more accuracy in a BEAR market-high volatility environment and can Identify short-term and major bottoms.
Always use proper sizing and risk management!
GLOBAL LIQUIDITY (Simple Proxy)I know there are many global liquidity indicators out there similar to this one.
This one just adds a little bit of more options for visualize different central banks and either stack data, see year over year changes, or visualize separate unstacked data.
HILOCLOP AnalysisThe "HILOCLOP Analysis" indicator is designed to analyze price data based on different conditions and provide insights into market trends and patterns. Let's break down its features and understand its potential usefulness in trading:
Sample Length: The indicator allows the user to specify the sample length, which determines the number of bars or periods considered for the analysis. This parameter can be adjusted to capture short-term or long-term trends and patterns in the market.
Raw Up/Down Analysis: The indicator calculates the number of occurrences where the current price values (high, low, open, close) are higher or lower than their previous values. It provides separate counts for each price component. By visualizing these counts on the chart, traders can identify periods of upward or downward movement in the price data.
HICLOP Analysis: The indicator offers a color scheme option called "HICLOP," which determines the color of the plotted results. If the HICLOP analysis is enabled, the plots representing raw up/down counts will have different colors based on whether the current count is higher or lower than the previous count. This color coding helps traders quickly identify changes in price trends.
Unchecking this Box will Show the general trend.
Raw HICLOP Color Scheme
Trend Color Scheme
Analysis Up vs. Down: The indicator provides an option to analyze instances where all four price components (high, low, open, close) are higher or lower than their respective previous values. This analysis helps traders identify periods of strong upward or downward movement in the market.
Analysis High vs. Low: The indicator compares the number of occurrences where the current high is higher than the previous high and the current low is higher than the previous low. It provides insights into whether the market is experiencing higher highs or higher lows, which can help traders determine the strength of an upward or downward trend.
Analysis Open vs. Close: The indicator compares the number of occurrences where the current close is higher than the previous close and the current open is higher than the previous open. This analysis helps traders assess the relationship between opening and closing prices, providing insights into the strength of buying or selling pressure in the market.
The usefulness of the "HILOCLOP Analysis" indicator in trading depends on the specific trading strategy and the trader's preferences. Here are a few potential use cases:
Trend Identification: By analyzing the raw up/down counts and the HICLOP color scheme, traders can identify trends and changes in price momentum. Increasing raw up counts and corresponding color changes to positive values may indicate an upward trend, while increasing raw down counts and negative color changes may suggest a downward trend.
Confirmation of Breakouts: Traders often look for confirmation of breakouts from key levels or chart patterns. The "Analysis Up V Dn" feature can help identify instances where all four price components simultaneously confirm a breakout, indicating a potentially significant move in the market.
Trend Reversals: The "Analysis High V Low" and "Analysis Open V Close" features can provide insights into potential trend reversals. For example, if there are more higher highs than higher lows, it may indicate a weakening trend, potentially signaling a reversal or a correction.
RSI Momentum Trend ScreenerIntroducing The RSI Momentum Trend Screener, to have the ability to scan 40 symbols at once
The screener is based on RSI Momentum Trend Indicator
It will show Positive Or Negative based on the symbol condition.
You can change the values on the screener, symbols, activate/disable symbols and change table position and color
