TradFi Fundamentals: Enhanced Macroeconomic Momentum Trading Introduction
The "Enhanced Momentum with Advanced Normalization and Smoothing" indicator is a tool that combines traditional price momentum with a broad range of macroeconomic factors. I introduced the basic version from a research paper in my last script. This one leverages not only the price action of a security but also incorporates key economic data—such as GDP, inflation, unemployment, interest rates, consumer confidence, industrial production, and market volatility (VIX)—to create a comprehensive, normalized momentum score.
Previous indicator
Explanation
In plain terms, the indicator calculates a raw momentum value based on the change in price over a defined lookback period. It then normalizes this momentum, along with several economic indicators, using a method chosen by the user (options include simple, exponential, or weighted moving averages, as well as a median absolute deviation (MAD) approach). Each normalized component is assigned a weight reflecting its relative importance, and these weighted values are summed to produce an overall momentum score.
To reduce noise, the combined momentum score can be further smoothed using a user-selected method.
Signals
For generating trade signals, the indicator offers two modes:
Zero Cross Mode: Signals occur when the smoothed momentum line crosses the zero threshold.
Zone Mode: Overbought and oversold boundaries (which are user defined) provide signals when the momentum line crosses these preset limits.
Definition of the Settings
Price Momentum Settings:
Price Momentum Lookback: The number of days used to compute the percentage change in price (default 50 days).
Normalization Period (Price Momentum): The period over which the price momentum is normalized (default 200 days).
Economic Data Settings:
Normalization Period (Economic Data): The period used to normalize all economic indicators (default 200 days).
Normalization Method: Choose among SMA, EMA, WMA, or MAD to standardize both price and economic data. If MAD is chosen, a multiplier factor is applied (default is 1.4826).
Smoothing Options:
Apply Smoothing: A toggle to enable further smoothing of the combined momentum score.
Smoothing Period & Method: Define the period and type (SMA, EMA, or WMA) used to smooth the final momentum score.
Signal Generation Settings:
Signal Mode: Select whether signals are based on a zero-line crossover or by crossing user-defined overbought/oversold (OB/OS) zones.
OB/OS Zones: Define the upper and lower boundaries (default upper zones at 1.0 and 2.0, lower zones at -1.0 and -2.0) for zone-based signals.
Weights:
Each component (price momentum, GDP, inflation, unemployment, interest rates, consumer confidence, industrial production, and VIX) has an associated weight that determines its contribution to the overall score. These can be adjusted to reflect different market views or risk preferences.
Visual Aspects
The indicator plots the smoothed combined momentum score as a continuous blue line against a dotted zero-line reference. If the Zone signal mode is selected, the indicator also displays the upper and lower OB/OS boundaries as horizontal lines (red for overbought and green for oversold). Buy and sell signals are marked by small labels ("B" for buy and "S" for sell) that appear at the bottom or top of the chart when the score crosses the defined thresholds, allowing traders to quickly identify potential entry or exit points.
Conclusion
This enhanced indicator provides traders with a robust approach to momentum trading by integrating traditional price-based signals with a suite of macroeconomic indicators. Its normalization and smoothing techniques help reduce noise and mitigate the effects of outliers, while the flexible signal generation modes offer multiple ways to interpret market conditions. Overall, this tool is designed to deliver a more nuanced perspective on market momentum.
Cryptorhythms
TradFi Fundamentals: Momentum Trading with Macroeconomic DataIntroduction
This indicator combines traditional price momentum with key macroeconomic data. By retrieving GDP, inflation, unemployment, and interest rates using security calls, the script automatically adapts to the latest economic data. The goal is to blend technical analysis with fundamental insights to generate a more robust momentum signal.
Original Research Paper by Mohit Apte, B. Tech Scholar, Department of Computer Science and Engineering, COEP Technological University, Pune, India
Link to paper
Explanation
Price Momentum Calculation:
The indicator computes price momentum as the percentage change in price over a configurable lookback period (default is 50 days). This raw momentum is then normalized using a rolling simple moving average and standard deviation over a defined period (default 200 days) to ensure comparability with the economic indicators.
Fetching and Normalizing Economic Data:
Instead of manually inputting economic values, the script uses TradingView’s security function to retrieve:
GDP from ticker "GDP"
Inflation (CPI) from ticker "USCCPI"
Unemployment rate from ticker "UNRATE"
Interest rates from ticker "USINTR"
Each series is normalized over a configurable normalization period (default 200 days) by subtracting its moving average and dividing by its standard deviation. This standardization converts each economic indicator into a z-score for direct integration into the momentum score.
Combined Momentum Score:
The normalized price momentum and economic indicators are each multiplied by user-defined weights (default: 50% price momentum, 20% GDP, and 10% each for inflation, unemployment, and interest rates). The weighted components are then summed to form a comprehensive momentum score. A horizontal zero line is plotted for reference.
Trading Signals:
Buy signals are generated when the combined momentum score crosses above zero, and sell signals occur when it crosses below zero. Visual markers are added to the chart to assist with trade timing, and alert conditions are provided for automated notifications.
Settings
Price Momentum Lookback: Defines the period (in days) used to compute the raw price momentum.
Normalization Period for Price Momentum: Sets the window over which the price momentum is normalized.
Normalization Period for Economic Data: Sets the window over which each macroeconomic series is normalized.
Weights: Adjust the influence of each component (price momentum, GDP, inflation, unemployment, and interest rate) on the overall momentum score.
Conclusion
This implementation leverages TradingView’s economic data feeds to integrate real-time macroeconomic data into a momentum trading strategy. By normalizing and weighting both technical and economic inputs, the indicator offers traders a more holistic view of market conditions. The enhanced momentum signal provides additional context to traditional momentum analysis, potentially leading to more informed trading decisions and improved risk management.
The next script I release will be an improved version of this that I have added my own flavor to, improving the signals.
Blockchain Fundamentals: Liquidity Cycle MomentumLiquidity Cycle Momentum Indicator
Overview:
This indicator analyzes global liquidity trends by calculating a unique Liquidity Index and measuring its year-over-year (YoY) percentage change. It then applies a momentum oscillator to the YoY change, providing insights into the cyclical momentum of liquidity. The indicator incorporates a limited historical data workaround to ensure accurate calculations even when the chart’s history is short.
Features Breakdown:
1. Limited Historical Data Workaround
Function: The limit(length) function adjusts the lookback period when there isn’t enough historical data (i.e., near the beginning of the chart), ensuring that calculations do not break due to insufficient data.
2. Global Liquidity Calculation
Data Sources:
TVC:CN10Y (10-year yield from China)
TVC:DXY (US Dollar Index)
ECONOMICS:USCBBS (US Central Bank Balance Sheet)
FRED:JPNASSETS (Japanese assets)
ECONOMICS:CNCBBS (Chinese Central Bank Balance Sheet)
FRED:ECBASSETSW (ECB assets)
Calculation Methodology:
A ratio is computed (cn10y / dxy) to adjust for currency influences.
The Liquidity Index is then derived by multiplying this ratio with the sum of the other liquidity components.
3. Year-over-Year (YoY) Percent Change
Computation:
The indicator determines the number of bars that approximately represent one year.
It then compares the current Liquidity Index to its value one year ago, calculating the YoY percentage change.
4. Momentum Oscillator on YoY Change
Oscillator Components:
1. Calculated using the Chande Momentum Oscillator (CMO) applied to the YoY percent change with a user-defined momentum length.
2. A weighted moving average (WMA) that smooths the momentum signal.
3. Overbought and Oversold zones
Signal Generation:
Buy Signal: Triggered when the momentum crosses upward from an oversold condition, suggesting a potential upward shift in liquidity momentum.
Sell Signal: Triggered when crosses below an overbought condition, indicating potential downward momentum.
State Management:
The indicator maintains a state variable to avoid repeated signals, ensuring that a new buy or sell signal is only generated when there’s a clear change in momentum.
5. Visual Presentation and Alerts
Plots:
The oscillator value and signalline are plotted for visual analysis.
Overbought and oversold levels are marked with dashed horizontal lines.
Signal Markers:
Buy and sell signals are marked with green and maroon circles, respectively.
Background Coloration:
Optionally, the chart’s background bars are colored (yellow for buy signals and fuchsia for sell signals) to enhance visual cues when signals are triggered.
Conclusion
In summary, the Liquidity Cycle Momentum Indicator provides a robust framework to analyze liquidity trends by combining global liquidity data, YoY changes, and momentum oscillation. This makes it an effective tool for traders and analysts looking to identify cyclical shifts in liquidity conditions and potential turning points in the market.
Blockchain Fundamentals: Liquidity & BTC YoYLiquidity & BTC YoY Indicator
Overview:
This indicator calculates the Year-over-Year (YoY) percentage change for two critical metrics: a custom Liquidity Index and Bitcoin's price. The Liquidity Index is derived from a blend of economic and forex data representing the M2 money supply, while the BTC price is obtained from a reliable market source. A dedicated limit(length) function is implemented to handle limited historical data, ensuring that the YoY calculations are available immediately—even when the chart's history is short.
Features Breakdown:
1. Limited Historical Data Workaround
- Functionality: limit(length) The function dynamically adjusts the lookback period when there isn’t enough historical data. This prevents delays in displaying YoY metrics at the beginning of the chart.
2. Liquidity Calculation
- Data Sources: Combines multiple data streams:
USM2, ECONOMICS:CNM2, USDCNY, ECONOMICS:JPM2, USDJPY, ECONOMICS:EUM2, USDEUR
- Formula:
Liquidity Index = USM2 + (CNM2 / USDCNY) + (JPM2 / USDJPY) + (EUM2 / USDEUR)
[b3. Bitcoin Price Calculation
- Data Source: Retrieves Bitcoin's price from BITSTAMP:BTCUSD on the user-selected timeframe for its historical length.
4. Year-over-Year (YoY) Percent Change Calculation
- Methodology:
- The indicator uses a custom function, to autodetect the proper number of bars, based on the selected timeframe.
- It then compares the current value to that from one year ago for both the Liquidity Index and BTC price, calculating the YoY percentage change.
5. Visual Presentation
- Plotting:
- The YoY percentage changes for Liquidity (plotted in blue) and BTC price (plotted in orange) are clearly displayed.
- A horizontal zero line is added for visual alignment, making it easier to compare the two copies of the metric. You add one copy and only display the BTC YoY. Then you add another copy and only display the M2 YoY.
-The zero lines are then used to align the scripts to each other by interposing them. You scale each chart the way you like, then move each copy individually to align both zero lines on top of each other.
This indicator is ideal for analysts and investors looking to monitor macroeconomic liquidity trends alongside Bitcoin's performance, providing immediate insights.
Blockchain Fundamentals: Global LiquidityGlobal Liquidity Indicator Overview
This indicator provides a comprehensive technical analysis of liquidity trends by deriving a Global Liquidity metric from multiple data sources. It applies a suite of technical indicators directly on this liquidity measure, rather than on price data. When this metric is expanding Bitcoin and crypto tends to bullish conditions.
Features:
1. Global Liquidity Calculation
Data Integration: Combines multiple market data sources using a ratio-based formula to produce a unique liquidity measure.
Custom Metric: This liquidity metric serves as the foundational input for further technical analysis.
2. Timeframe Customization
User-Selected Period: Users can select the data timeframe (default is 2 months) to ensure consistency and flexibility in analysis.
3. Additional Technical Indicators
RSI, Momentum, ROC, MACD, and Stochastic:
Each indicator is computed using the Global Liquidity series rather than price.
User-selectable toggles allow for enabling or disabling each individual indicator as desired.
4. Enhanced MACD Visualization
Dynamic Histogram Coloring:
The MACD histogram color adjusts dynamically: brighter hues indicate rising histogram values while darker hues indicate falling values.
When the histogram is above zero, green is used; when below zero, red is applied, offering immediate visual insight into momentum shifts.
Conclusion
This indicator is an enlightening tool for understanding liquidity dynamics, aiding in macroeconomic analysis and investment decision-making by highlighting shifts in liquidity conditions and market momentum.
Trendgetter: Trend Detection, Regime Change, Bias Filter by [CR]Trendgetter: Trend Detection, Regime Change, Bias Filter by Cryptorhythms
“If you are not a trend setter, at least be able to exploit the ones you see.”
― Jeffrey Fry
Intro
Cryptorhythms back again with a members only indicator for trend capture this time! Trendgetter is not crypto specific and can be applied to a variety of timeframes, markets, and tickers. Its meant to be a general purpose trading aid and bias filter, providing reliable trend, bias and regime change information.
Introduction
This indicator relies upon various methods related to probabilities/statistics, digital signal processing and data science to predict optimal fair local price given any financial time series data. The goal was to create a tool that isolates trends and captures their bias, making it easier to follow a noisy market. The focus is making high hit rate uncorrelated returns to your base market. The way in which this indicator is constructed is not based upon any previous public work, and was researched and refined over a period of 6 months of trading and testing based on my own personal trading experiences and observations of the market. I use novel techniques I developed in house to denoise the data and determine a local fair price.
Description
The parameters in this indicator are mostly fixed and do not lend themselves to overfitting. So when you find good settings, its probably legit and not a false positive. They were pre-determined based on my own testing and research to handle almost all possible combinations of price action for determining trends. By fixing some parameters, you automatically reduce the chances of overfitting to historical data. The pre determined levels were carefully chosen after many options were considered.
Not just a bias filtooor, fair price predictooor and regime change detectoooor though! TG also provides a price envelope feature which shows a likely fair price range that price will distribute itself upon. Above or below the envelope indicates the presence of a very strong trend . Within the envelope indicates consolidation , but still conforming to the bias. TG then uses a statistics-based approach to display a likely range that price could potentially travel over the near term which we called a price envelope.
An additional option provides background coloration when there is the potential for a regime change on the trend bias. This can be used as a feature to help you manage your trades risk. This is simply measured by an internal (non exposed) script value returning to a mean which triggers the color to appear.
Further Explanation of Settings
-Timeframe : Change the timeframe the indicator is calculated on allowing you to for instance use the 15m Trendgetter output while remaining on the 5 minute chart.
-Trend Capture : This is the "type" of trend you are trying to follow. The different options will attempt to find the trends at various levels of noise cancellation within the lookback period you specify. "Reactive" means it will quickly change its bias and capture smaller trends. "Slow" means it will filter more noise and capture larger trends. "Adaptive" is completely in its own class of behavior and was my attempt to mix both a slow and reactive profile into one setting, it uses a few market metrics like volume and volatility to adjust parameters on the fly.
-Sample Length : Bars to consider in the calculation. Using large numbers here is not going to help, but rather hurt your results. Generally 10-100 is the range you should use for the best results. The exact value will depend on the timeframe, volatility and market/asset you are trading, and you should experiment to find it. (There is no "one size fits all" for potential trading situations)
-Source : Data series used for calculation. I recommend hlcc4 or hl2 or hlc3 instead of just "close." This will help to pre process a noisy data series for the rest of the algo.
-Certainty Level : This setting effects how easily the indicator will confirm a new trend and change its bias. " Reactive" does just as it says and will confirm new regimes faster, but can also lead to false signals or "flip flop" in certain types of price action. "Slow" will change biases less frequently or in conjunction with large moves - but this level of certainty requires the sacrifice of reactivity meaning its a bit laggy (but thats ok when you are following a larger trend). "Medium" is as you would expect the middle ground between reactive and slow. Lastly "Adaptive" tends to fall between reactive and medium in its behavior typically, but it will somewhat adjust itself to suit the variability of market conditions.
-Price Envelope :
-----My own personally created price distribution spread (not monte carlo based)
-----Above or below the envelope indicates the presence of a very strong trend. You should not be fading a trend when its in this position!
-----Within the envelope indicates consolidation, but still conforming to the bias.
User Requests :
Of course we also listen to the needs of our members and added these features upon request.
-Added dark mode and light mode themes.
----Dark Mode is for dark/black charts and uses lighter colorations
----Light mode is for light/white charts and uses darker colorations
-More updates to display and color selection options such as background colors and fill colors.
Pair Prowler [CR]Pair Prowler by Cryptorhythms
Intro
Members needed a new scalping indicator, so of course I listened and delivered. Pair prowler is not crypto specific and can be applied to a variety of timeframes, markets, and tickers. Its meant to be a general purpose scalping aid providing actionable signals that help you time the market.
Description
This indicator relies upon various methods relataed to probabilities, statistics and data science to predict optimal times to buy or sell any given time series data. The goal was to create a tool that isolated short form trades, making it easier to follow a noisy market. With built in safety features to help trades make smart decision real time when it matters. The focus is making high hit rate uncorrelated returns to your base market.
There are still a large list of features to implement on the indicator. Most of the parameters will be made dynamic needed no changing or interaction from the user. This will also help prevent potential overfits from over-enthusiastic optimization =)
Private
This indicator is reserved for our members only to prevent decay as long as possible. You can view my signature at the bottom of this post for more information on membership. Membership seats are also capped!
Dont worry, there are 2 new free public scripts coming as well in the near future!
Blockchain Fundamentals: 200 Week MA Heatmap [CR]Blockchain Fundamentals: 200 Week MA Heatmap
This is released as a thank you to all my followers who pushed me over the 600 follower mark on twitter. Thanks to all you Kingz and Queenz out there who made it happen. <3
Indicator Overview
In each of its major market cycles, Bitcoin's price historically bottoms out around the 200 week moving average.
This indicator uses a color heatmap based on the % increases of that 200 week moving average. Depending on the rolling cumulative 4 week percent delta of the 200 week moving average, a color is assigned to the price chart. This method clearly highlights the market cycles of bitcoin and can be extremely helpful to use in your forecasts.
How It Can Be Used
The long term Bitcoin investor can monitor the monthly color changes. Historically, when we see orange and red dots assigned to the price chart, this has been a good time to sell Bitcoin as the market overheats. Periods where the price dots are purple and close to the 200 week MA have historically been good times to buy.
Bitcoin Price Prediction Using This Tool
If you are looking to predict the price of Bitcoin or forecast where it may go in the future, the 200WMA heatmap can be a useful tool as it shows on a historical basis whether the current price is overextending (red dots) and may need to cool down. It can also show when Bitcoin price may be good value on a historical basis. This can be when the dots on the chart are purple or blue.
Over more than ten years, $BTC has spent very little time below the 200 week moving average which is also worth noting when thinking about price predictions for Bitcoin or a Bitcoin price forecast.
Notes
1.) If you do not want to view the legend do the following: Indicator options > Style tab > Uncheck "Tables"
2.) I use my custom function to get around the limited historical data for bitcoin. You can check out the explanation of it here:
FUNCTION: Limited Historical Data WorkaroundFUNCTION: Limited Historical Data Workaround
If you are working with bitcoin weekly charts, or any other ticker with a low amount of price history this function may help you out. For example you want to apply indicators to some shitcoin that just launched? This can help you.
It can be frustrating to use certain built-ins since they will only give an output once the full lookback length is available. This function allows you to avoid that situation and start plotting things with almost no history whatsoever!
In this example code we do it by utilizing a replacement for the built in pine SMA function. This function allows us to pass a series instead of just a simple int to the length variable of the SMA. This can be achieved with all the pine built ins and I believe @pinecoders has a publication already detailing many of them with full coded examples.
Then we replace the length of the SMA with the custom history function. It checks to see if the current bar index is less than the length of the function. Then if it is, it changes the length to the bar index allowing us to get plots and series earlier than otherwise possible.
Blockchain Fundamentals - Active Address Sentiment Osc. [CR]Blockchain Fundamentals: Active Address Sentiment Oscillator AASO
Back with another script today, this one is a useful tool in helping to determine bitcoins value. We are looking at 2 data sources: the daily active addresses on the BTC blockchain, and the daily returns of BTC.
THIS INDICATOR WILL ONLY GIVE YOU THE CORRECT RESULTS ON THE DAILY TIMEFRAME
There is an interesting relationship that you can see by comparing the two timeseries. But for us to create a good indicator we first need to normalize the data. So we look at the percent change over the past 28 days for each metric (DAA and price).
THIS INDICATOR WILL ONLY GIVE YOU THE CORRECT RESULTS ON THE DAILY TIMEFRAME
We then calculate standard deviation bands around the DAA metric. We finalize them by averaging the bands over a 28 day period.
When the Price series (yellow line) is higher than the SD bands BTC is considered overvalued or price is overheated. A pullback could be expected soon. When the Price series is below the SD bands BTC is considered undervalued or price is oversold.
THIS INDICATOR WILL ONLY GIVE YOU THE CORRECT RESULTS ON THE DAILY TIMEFRAME
This tool doesnt give signals on the one minute chart or tell you exactly when to buy or sell. BUT what it does do is act as a convenient macro sentiment indicator that is not based completely upon price.
In an attempt to narrow down the really juicy areas, if you seen the background color highlights with white, that means its likely a top or bottom. At the very least on a local sense and many times in a cyclical macro sense as well. It also narrows down the signal to a generally more profitable area.
This indicator is not meant to be used on timeframes other than daily (did I mention that already?). I am lazy and did not code the calculations to be MTF (which is why you have to use on the daily chart). If you want to code this, please forward it on to me and I will post an update with a heartfelt credit to you.
Blockchain Fundamentals: Electricity Cost of BTC [CR] Blockchain Fundamentals: Electricity Cost of BTC
After a hiatus, now a return to publishing tools and scripts for the community. This is my first script in over and year, and I have a number more coming soon as well! (so Stay Tuned!)
This is a simple calculator to estimate the cost of Bitcoin miners to mine one bitcoin. It works on all timeframes (doesnt have to be on daily).
By entering the inputs of total TH's, kWh used, cost of electricity per kWh (in USD cents) we can generate the electricity cost.
But miners also have other costs of operation including HVAC, maintenance, rent, etc. In light of that we include a multiplier that accounts for these extra costs. First, type in what percent of your total operating costs come from the electricity. Then check the enable total cost plot option and you will also see total costs in addition to electricity costs.
Its a simple model and gives anyone curious a starting point for their own testing and research.
Enhanced Sigma by Cryptorhythms [CR]Enhanced Sigma by Cryptorhythms
Sigma is basically the deviation of returns compared to past returns. The higher / lower the value, shows you how deviated from the average this current bars returns are.
While perhaps not usable as a complete strategy for entering and exiting, its still quite useful and informative. It can give interesting signals as to potential turning points in price action. This behavior extends to all timeframes both long term and short term.
There are 2 overbought and oversold zones here inthe indicator. One is adaptive and will change to suit the shorter term giving your extra potential signals. The fixed line shows a general level for highly deviated values.
Expect a number of further totally unique and exclusive sigma based indicators from CR in the near future. We are nowhere near done extracting the alpha from this concept!
How to get access
This indicator is available for standalone purchase or as part of our subscription options. Please see my signature or profile for more information or contact me directly.
Predictimoku (Cloud 9) - Modified Ichimoku by Cryptorhythms [CR] Predictimoku (Cloud 9) - Modified Ichimoku by Cryptorhythms
📜Intro
New spin on the old standby ichimoku!
Predictimoku (Cloud 9): This indicator uses a proprietary algo to forecast the kijun tenkan & senkou spans accurately out into the future.
📋Background
Unfortunately you may have seen it around twitter as part of a paid for course with indicator set. These influencers claim its "their proprietary indicator". Well the truth is that the source code was stolen from me without payment by some folks who will remain nameless... Then they published the indicator as a private script to avoid moderation/ban (cowards!)
Lesson learned... this is why you never trust anyone until the money is in your hand. And if you see the indicator in the wild as part of some "guru's" overpriced course you will know who the thieves are!
But I wouldnt let that injustice or their shady behavior stand. So that now means you all will get access to it because I am providing it free for the public! :)
📋Features and How to Use
You use this indicator in all the same ways as you would use traditional ichimoku, the underlying structure is the same. Though the default settings are using doubled lookback lengths as per "crypto standard."
The extra functionality comes in the form of accurate and non repainting forecast of up to 17 bars for the kijun, tenkan and senkou spans! This can be useful in many ways for instance it can show you ahead of time when a kumo twist will happen, or a tenkan/kijun cross, etc!
💠Here is an example of the 17 bar forecast:
💠Here is an example of the Trading Range option to show you where price would need to go to force a recalculation of the forecasts. It also provides areas of interest for PA reactions.
💠Last an example of the fibonacci spread. By default the Auto Fib's lookback length is set to 60 to match the kijun lookback. This generally produces a nice framework for near future price action.
💠Look for some more new and unique ichimoku based indicators coming soon from us! :)
About Us
👍 We hope you enjoyed this indicator and find it useful! We post free crypto analysis, strategies and indicators regularly. This is our 84th script on Tradingview! Check signature for more information.
Vicious Cycle by Cryptorhythms [CR]Vicious Cycle by Cryptorhythms
Intro
I have been working on this one for a few months now, bringing our flagship indicator Bull Bear Filter up to date with new ideas and algorithms to clarify cyclical trend components in any time series data.
Description
This indicator has no settings that the user needs to change. It is completely adaptive and dynamic to any market, timeframe, or time series data. The goal was to create a tool that isolated cyclical waveforms, making it easier to follow a noisy market. Keep in mind, its not RSI, Stoch, Ehlers or anything else - its a completely new DSP method that I created myself. You can only get the Vicious Cycle from CR!
Private
This indicator is reserved for our members only to prevent the alpha decay as long as possible. You can view my signature at the bottom of this post for more information on membership.
Examples
Here I will list a number of examples screenshots across markets and timeframes. Remember, NO SETTINGS WERE CHANGED at all for these screenshots. As you can see its quite a versatile tool!
BITCOIN
XBTUSD 20Min
XBTUSD 4H
XBTUSD 6H
GOLD
XAUUSD 2D
XAUUSD 4H
FOREX
EURUSD 3 Min
EURUSD 30 Min
GBPJPY 1H
USDJPY 12H
STOCKS
TSLA 1D
AMD 1D
SPY 1D
VIX 12H
OIL
USDWTI 3D
USDWTI 2H
USOIL 15 Min
Bitcoin Futures: Premium Discount Backwardation Contango [CR]Bitcoin Futures Premium Discount - Backwardation Contango
Cryptorhythms back at it again with another release for your quarantined pleasure! We've had this one in our back pocket for a few months adding new features and testing it out. Now its time to release it into the wild!
Intro
This indicator is used to capture additional profits by spread trading on futures contracts.
Description
This indicator is for members only and instructions will be given out upon becoming a member. It allows you to select from dozens of perpetual, futures and spot markets to compare, along with providing an info panel of many useful statistics and triggers.
How to get access?
You can get more information on joining by referring to my signature links. Members gain access to an entire suite of proven trading indicators and a supportive community of traders.
MCMA+ Multi Custom Moving Averages by Flinty + CryptorhythmsLatest release of my Multi Custom Moving Average indicator.
Plot up to 10 moving averages
for each MA, you can customise the following:
Period - from 1 to 1825 days
Type - DEMA, EMA, SMA, TEMA, VMWA or WMA
Source - Open, High, Low, Close, HL2, HLC3,OHLC4
The lowest and highest TF chart each MA will plot on. Only show the MA's you want on any time frame without having to continually adjust settings
Higher Time Frame MA -
Plot up to 3 additional moving averages from higher time frames
Customise each of these with Period, Type, Source, low and high TF plots and finally Time Frame
Time Frame can be a fixed TF or it can be set to always show the interval or period above the currently active TF
Labels can be customised to show the MA number or useful information such as the period, the MA type and the Time Frame where applicable
Another exciting feature is the ability to plot 7 bars ahead by enabling our prediction routine
This can be enabled for any three MA's
Hopefully I will be able to implement crossover alerts in the near future
Ehlers Correlation Trend Indicator CTI by Cryptorhythms [CR]Ehlers Correlation Trend Indicator CTI by Cryptorhythms
📜Intro
In his article “Correlation As A Trend Indicator” in issue May 2020 of TASC, author John Ehlers introduces a new trend indicator that is based on the correlation between a security’s price history and the ideal trend: a straight line. He describes methods for using the indicator to not only identify the onset of new trends but to identify trend failures as well. He presents what looks like a simple and elegant idea for a trend-detection and mode-switching indicator.
📋Comments
Careful market selection may be the key to a correct application of the indicator. Even such barebone rules could shine with stocks like AAPL that tend to develop prolonged trends. But for others like CAT, which can keep oscillating in ranges for years, results will be much less impressive. They require a different approach. For example, you would want to buy when Correlation Trend falls significantly below zero and sell when it reaches positive values.
Therefore, it would be an interesting problem to research Correlation Trend’s ability to identify the switch to a cycle mode. That might help develop countertrend systems and
trade pullbacks. Another possible application might be to act as a system filter of change from trending mode to mean-reversion mode.
Extras
As usual when porting indicators to the library here on tradingview, I like to add some extra flare!
💠Customizable Overbought and Oversold Zones for Alert Creation
💠Bar coloration based on trade state for easy visual at a glance chart checking
💠Some basic example Entry and Exit conditions and a simple Trade State Engine to get you going creating your own strategy
Enjoy!
👍 We hope you enjoyed this indicator and find it useful! We post free crypto analysis, strategies and indicators regularly. This is our 81st script on Tradingview!
COVID Statistics Tracker & Model Projections by Cryptorhythms😷 COVID-19 Coronavirus Tracker & Statistics Tools by Cryptorhythms 😷
📜Intro
I wanted to put some more meaning behind the numbers for 2020's Covid pandemic. I hope this tool can help people analyze and deal with these hard times. With these metrics I hope to give greater depth and dimension to whats available. While also at the same time creating something that looks decently presentable and gives actionable information.
I had planned on including a few forecasting models and letting the user play with values to see how social distancing works. But alas I couldnt complete those in the scope of time I gave myself for the indicator. If you are interested in collaborating on it, I will share what I have with you and we can further work on it.
📋Description
The script contains 3 main parts you will interact with. I suggest you enable the chart labels for "indicator name" and "indicator last value" to make the charts more readable (right click on the scale of your chart and goto the "labels" pop out menu). Depending on what plots and data you choose to chart, logarithmic and regular scales can both be applied in different situations. To get similar visuals to the examples I will show below, you can goto the indicator options > style tab. I then play with the line styles, colors and transparencies to achieve the nice looking charts. Please also note there is a distinction between "Infected" and "Infectious". A model telling you the number of infected doesnt designate whether that person can still pass the virus on to others (infectious). So Infectious numbers are usually lower than total confirmed, but this isnt always the case if for example a country wasnt testing very much during the early phase or something else.
🚧Disclaimer
I am not a medical professional and none of this should be considered medical advice. All of the models, numbers and math I sourced from professional places but this is not a guarantee of the future only an approximation based on current information. Numbers change daily and so can these models!
🌐PART ONE
In this area you select a region to read the proper statistics data from tradingview. You can do global totals, country totals, or for a few places (AU, CA, CN, US) you can see state/province totals. Remember to SELECT ONLY ONE region.
🧮PART TWO
The Plots/Stats/Data section includes:
1. ) Plot the Days to Double Number of Confirmed
2. ) Plot the Infection Growth Ratio
3. ) Plot Fatality Risk Rate (Total Deaths / Total Outcomes)
4. ) Plot Overall Fatality Rate / Recovery Rate
5. ) Plot % of World Infected & % of USA Infected
6. ) Plot Daily New Deaths, Confirmed & Recovered
7. ) Plot Daily Change Percentages
🎱PART THREE
Forecasting Models and Settings:
1 .) Plot the % of Custom Population Infected (Vs. the Region Selected in Part 1 of Settings)
2 .) Plot the True Num. of Infectious (Death Model / DM)
3 .) Plot the Current and Next Weeks Cumulative Infection Projection (DM)
4 .) Plot Estimated Infection Rates? (DM)
5 .) Enable Basic Trajectory Projection?
6 .) Plot the Likelihood of > 0 **Infectious** in a Group (DM) for Today, Tomorrow and Next Week
7 .) Plot the True Num. of Infected (Confirmed/Tested Model)
8 .) Plot the Estimated Epidemiology for 7 and 14 Days Out (Hospital Beds, ICU Beds, Ventilator Units)
Planned But not completed
9.) SIR Epidemiology Model
10.) Exponential Growth Plot & Correlation
To use the Estimator for likelihood of Infected in N group of people you need to do 2 things. Select and use "Custom Population" as the population source for part 3. Then you need to enable "Custom Infected" as the source for the model. Then you enter your geographical area's population and confirmed cases. Its best to goto the smallest / most granular level of data available to accurately estimate the likelihood. So for instance in the order of least effective to most effective data source: global, country, state, county, city...etc.
If you do not understand what these terms or numbers represent, please read the source materials I have linked in the code, or use google. I dont have the time or expertise to explain all the various specific methods and terms included here. This entire project was a learning journey for me and I have zero experience in epidemiology so please excuse any errors I may have made. (and tell me, so I can change it!)
🔮Future Additions
If anyone has a model or stat they would like included I will be happy to add your code to this toolbox to make it more effective and give you credit here in the description. If you want to collaborate please message me.
📊Some Example Charts:
The Cryptorhythms Team wish you and your families all the absolute best of health!
P.S. Stay safe and act smart I dont think this will be the EOTW.
Nth-Occurrence Custom barssince() Function by Cryptorhythms [CR]Nth-Occurrence Custom barssince() Function by Cryptorhythms
Description
The vanilla barssince() function in pine only finds the number of bars since the most recent occurrence of the condition. This version allows you to specify an Nth occurrence back to check the bars since! Its also a nice little one liner.
I really hope you enjoy it and if you're looking for more, this is our 79th script on TV, so there is plenty to choose from!
Let me know in the comments if you create anything useful from this or think of anyway to improve it!
Modified OBV w/ Divergence Detection by CryptorhythmsApirine OBV-M Modified OBV w/ MA Selection by Cryptorhythms
Intro
Released in the April 2020 issue of TASC, and created by Vitali Apirine.
Description
OBV-M is of course based on the classic indicator on balance volume originally developed by Joe Granville. Apirine then smooths the calculation and adds a signal line to help denote entry and exit points.
As the author points out uts also great at showing divergences!
Extras
As usual when porting indicators to the library here on tradingview, I like to add some extra flare!
💠MA selection to allow you to experiment with alternate settings
💠Bar coloration based on trade state for easy visual at a glance chart checking
💠Divergence Detection and plotting thanks for Ricardo Santos' script
Enjoy!
👍 We hope you enjoyed this indicator and find it useful! We post free crypto analysis, strategies and indicators regularly. This is our 78th script on Tradingview!
Bar Strength Index (BSI) by CryptorhythmsBar Strength Index (BSI) by Cryptorhythms
Intro
BSI is an totaly new and original indicator derived from Internal Bar Strength. It can be classified as similar to an RSI, but its method of calculation is very different so it sometimes gives an edge where RSI does not.
In the chart I have included RSI (red line) as a comparison for you to contrast BSI with.
Description
The formula for Internal Bar Strength is:
IBS = (close - low) / (high - low) * 100
The original IBS and thus this derivitive (BSI) are meant for higher timeframe analysis. Working best on daily, weekly or monthly charts. I take that original IBS formula and create something smoother and easier to understand - The Bar Strength Index !
Options
💠There is an option for smoothing which I recommend using.
💠Also options to make the scaling adaptive, or to leave it static.
💠A normalization option is available to create a bounded oscillator (easier for alerts/algos).
💠You can choose an MA type and length to create a signal line for it as well.
💠Lastly I also included the ability to setup overbought and oversold zones for better alert creation possibilities (crossovers / crossunders).
👍 We hope you enjoyed this indicator and find it useful! We post free crypto analysis, strategies and indicators regularly. This is our 77th script on Tradingview!
Time Series Lag Reduction Filter by CryptorhythmsTime Series Lag Reduction Filter by Cryptorhythms
Description
A little filter to reduce lag on any time series data. Here we use an EMA to demonstrate how it works, but you could use it in many different ways/appications.
This method can cause overshoot if you get too aggressive with the "lagReduce" setting. In this case lower the lagReduce variable.
👍 We hope you enjoyed this indicator and find it useful! We post free crypto analysis, strategies and indicators regularly. This is our 76th script on Tradingview!
Blockchain Fundamentals - Golden Ratio Multiplier GRMBlockchain Fundamentals - Golden Ratio Multiplier GRM
Intro
This strategy was put forth by Phillip Swift (a.k.a PositiveCrypto) as guidelines for bitcoins market cycles.
Description
The new insight comes when we multiply the 350 day moving average (which we will refer to as the 350DMA) by specific numbers. Those mathematically important numbers are:
-The Golden Ratio = 1.61803398875
-Fibonacci Sequence = 1, 1, 2, 3, 5, 8, 13, 21…
Using those three moving average lines (350DMA x 1.6, x2, x3) has allowed us to pick out almost every single intra-cycle price high in Bitcoin’s history.
The next numbers in the Fibonacci sequence are 5, 8, 13, and 21.
Remarkably, when we use these multiples of the 350 day moving average, they pick out each of Bitcoin’s market cycle tops going all the way back to the first price bubble in 2011.
Additions
I added the ability to select from a few types of moving averages and to change the base MA length. This will allow you to experiment and find your own potential correlations.
I also added the bottom most (yellow) line you can see which is the base MA minus the 0.618. This has been a great market bottom level for calling capitulation.
I also added in the ability to plot additional fibonacci and gann numbers.
I Also added some trade state logic when to long/short though its not perfect by any means but a work in progress.
👍 We hope you enjoyed this indicator and find it useful! We post free crypto analysis, strategies and indicators regularly. This is our 75th script on Tradingview!
