Event HorizonEvent Horizon is a historical analog projection fan designed to answer one practical question:
What has price tended to do after market conditions similar to the current one?
Instead of using a fixed crossover, oscillator threshold, or trend flip, this indicator builds a market fingerprint from the current chart, searches historical bars for similar conditions, and projects how those past analogs moved forward. The result is a visual forward fan showing possible path behavior, consensus direction, dispersion, confidence, and the closest historical analog path.
The goal is not to predict the future with certainty. The goal is to give traders a structured way to compare the current setup against similar historical environments and quickly see whether the analogs are aligned, scattered, bullish, bearish, or not useful.
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What makes this script different
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Most projection tools draw a channel, regression, moving average extension, or volatility cone from a fixed formula.
Event Horizon uses a historical analog engine. Each bar is converted into a multi-factor feature profile, then compared against prior market states using weighted Euclidean similarity. The closest historical analogs are used to create a forward projection fan.
The script combines:
• Historical analog matching
• Weighted Euclidean distance
• Regime-aware scoring
• Volatility and trend-state filtering
• Consensus projection logic
• Closest historical path overlay
• Agreement and confidence scoring
• Directional historical event dots
• A visual fan that shows uncertainty instead of one hard prediction
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How it works
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1. Market fingerprint
The script measures the current market using multiple dimensions, including:
• Recent price movement
• Trend slope
• ATR expansion and compression
• Candle range and body behavior
• Wick imbalance
• Position relative to recent structure
• Breakout distance
• Volume ratio and volume trend
• ATR percentile
• ADX / trend strength
• Historical shape samples
This creates a multi-dimensional profile of the current setup.
2. Historical analog search
The current profile is compared to historical profiles on the same chart. Similarity is calculated with weighted Euclidean distance, so higher-value features such as trend, volatility regime, and price-shape behavior can matter more than smaller candle details.
Closer historical examples receive stronger match scores.
3. Regime awareness
The script also classifies the current environment into regimes such as trend, compression, volatility expansion, volume shock, or range/chop. Historical examples from incompatible regimes are penalized, helping reduce weak comparisons.
4. Forward projection
Once the best analogs are selected, the script looks at what actually happened after those historical setups. Those forward moves are normalized and projected from the current anchor point.
5. Consensus and confidence
The indicator summarizes the analog group with:
• Directional bias
• Agreement percentage
• Dispersion
• Confidence score
• Edge state: TRADEABLE, CAUTION, or NO EDGE
• Historical self-test statistics
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How to read the fan
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The colored fan shows the projected analog field.
The colored median shows the consensus path of the analog set.
The white line shows the closest visible historical analog path. It is not a guaranteed target. It is the path taken by the most similar past setup selected by the engine.
The wider the fan, the more disagreement there is between analogs.
The tighter the fan, the more historically aligned the analogs are.
The confidence and edge label are important. A bullish-looking fan with low confidence or high dispersion should be treated differently than a bullish fan with strong agreement and cleaner regime structure.
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Historical dots
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Historical event dots help visually review where prior projection events occurred.
• Bullish projection dots appear below price
• Bearish projection dots appear above price
• Mixed or neutral readings are visually separated
This makes it easier to inspect whether the indicator has been identifying useful directional conditions on the current symbol and timeframe.
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How to use it
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For newer traders:
1. Start on the Daily or 4H chart.
2. Look at the colored median.
3. Check whether the white analog path agrees with the median.
4. Check confidence and agreement.
5. Avoid forcing trades when the label says NO EDGE or when dispersion is high.
A stronger bullish read usually has:
• Median path rising
• White analog path also rising
• Agreement above roughly 65%
• Confidence above roughly 70
• Low or medium dispersion
• Edge state showing TRADEABLE or CAUTION, not NO EDGE
A weaker or avoidable read usually has:
• Median and white path disagreeing
• Agreement near 50%
• High dispersion
• Low confidence
• Range/chop regime
• NO EDGE label
For experienced traders:
Use the fan as an analog-based context layer. It is most useful when combined with your own structure, liquidity, trend, support/resistance, volume, or macro view. The script is designed to show whether historical analog behavior supports or conflicts with the trade idea you already see on the chart.
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Suggested settings
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Balanced stocks / ETFs:
• Mode: Current Bar Projection
• Visual Mode: Cinematic
• Fan Style: Hybrid Swarm + Contours
• Horizon: 30
• Memory Lookback: 1800
• Max Analogs: 30
• Minimum Analogs: 6
• Pre-Event Window: 20
• Shape Samples: 6
• Path Scale: 1.0
Crypto:
• Horizon: 24
• Memory Lookback: 2000 to 2500
• Path Scale: 0.75 to 0.90
• Flexible direction matching
Intraday:
• Horizon: 20 to 24
• Minimum Analogs: 8
• Path Scale: 0.75 to 1.0
• Use liquid symbols only
Trend continuation:
• Direction Matching: Strict
• Mirror Opposite Direction: Off
• Path Scale: 1.0
Reversal / exhaustion:
• Direction Matching: Flexible
• Mirror Opposite Direction: On
• Path Scale: 0.75
• Shorter horizon preferred
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Best use cases
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Event Horizon is best suited for:
• Liquid stocks
• Major ETFs
• Index products
• Major crypto pairs
• Trend continuation setups
• Post-compression expansion
• Structure breaks
• Swing-trade context
• Daily and 4H analysis
It is less suitable for:
• Illiquid symbols
• Very new tickers with limited history
• Low-volume penny stocks
• Earnings gaps
• Binary news events
• Extremely short scalping timeframes
• Markets with sudden one-off catalysts
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Important notes
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This is an analog projection tool, not a standalone buy/sell system.
Historical similarity does not guarantee future behavior. Market structure, liquidity, volatility, news, and macro conditions can change quickly. The fan should be used as a decision-support layer, not as a guaranteed forecast.
The strongest readings occur when the median, white analog path, agreement, confidence, and regime state all point in the same direction.
The weakest readings occur when analogs are scattered, confidence is low, dispersion is high, or the script identifies a no-edge environment.
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Summary
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Event Horizon turns historical market behavior into a forward analog projection fan.
It helps traders see:
• What similar past setups did next
• Whether those analogs agree or disagree
• Whether the current regime supports the projection
• Whether the projected path is tight or scattered
• Whether the setup has enough confidence to matter
Use it to add historical context, probability awareness, and regime-based discipline to your chart analysis.
Indicator
Tribulus & Ginseng PowerWhat is Tribulus & Ginseng Power?
Tribulus & Ginseng Power is an advanced inter-market macro strategy engine designed to identify institutional trend reversals and liquidity sweeps in high-volatility financial markets. Rather than analyzing an asset in isolation, this algorithm cross-examines live telemetry from three critical pillars of the crypto ecosystem simultaneously to confirm institutional dominance before executing order signals.
How the Multiverse Matrix Core Works:
The script acts as a command center analyzing three independent algorithmic engines:
The Main Asset Engine (M): Evaluates the selected chart using specialized swing detection, price action anomalies (Sushi Rolls), and premium kernel smoothing processes (Monalisa and UT Bot matrices) to find mathematical market exhaustion.
The Crypto Total Market Cap Engine (T): Requests live structural data behind the scenes from CRYPTOCAP:TOTAL to track whether global macro capital flow supports the localized trend breakout.
The Bitcoin Dominance Engine (D): Interrogates CRYPTOCAP:BTC.D to identify where global risk-on or risk-off sentiment is clustering (Bitcoin vs. Altcoins).
The Signal Breakdown Matrix:
By analyzing macro matrix alignments, the indicator prints institutional-tier alerts:
💎 PERFECT L: Global capital flows are expanding (TOTAL bullish), Bitcoin dominance matches, and the local chart confirms a bottom. High-probability premium bullish trigger.
🚀 ALT L (Altcoin Rally): Local price points upward while TOTAL cap rises and BTC.D drops, capturing the exact momentum shift where money floods into high-beta altcoins.
🩸 CRASH S: Direct macro distribution model. Major capitals are exiting the ecosystem while charts break local liquidity floors.
⚡ EARLY L / S (Early Macro Alignment): Fires instantly when the global macro telemetry matrices align before the local price reflects it, offering professional early entries before the momentum candle arrives.
Optimal Environments & Parameters:
Premium Assets: Highly volatile majors (BTC, ETH, high-cap layer-1 protocols) and major indices (NAS100, SPX).
Ideal Timeframes: Curated natively for 1-Hour (1h) and 4-Hour (4h) charts for long-form matrix confirmation. Can be scaled down to 15-Minute (15m) charts for intra-day trading.
Automation Ready: Configured with a stateful position lifecycle manager fully optimized for WunderTrading, 3Commas, or private server webhook routing. If a counter-signal is triggered, the system automatically executes a Close-First, Open-Next alert sequence to prevent cross-order jams on the exchange. Indicator
Moving Average XLMoving Average XL is a customizable multi-moving-average overlay that allows traders to plot up to three separate moving averages on the chart at the same time. Each moving average can be independently enabled, adjusted, styled, and color-coded, making it useful for trend direction, dynamic support and resistance, crossover analysis, and multi-timeframe-style trend context.
Each MA group includes the same core settings. “Show MA” turns that moving average on or off. “Length” controls the number of candles used in the calculation, with shorter lengths reacting faster to price and longer lengths smoothing price action more heavily. “Type” lets the user choose between SMA, EMA, WMA, VWMA, RMA, and HMA depending on how responsive or smooth they want the line to be. “Line Style” changes the visual display between solid, stepline, or circles. “Line Thickness” controls the weight of the plotted line, and “Color” lets the user customize each average for easier chart reading.
This indicator is designed for traders who want a clean, flexible moving average tool without unnecessary clutter. Use shorter averages to track near-term momentum, medium averages to define intermediate trend direction, and longer averages to identify major trend bias or high-probability support and resistance areas. Indicator
Monte Carlo Risk Geometry Simulator [Aslan]Thanks to @KioseffTrading for the polyline retracing system and the plotting system as a whole🙏
♦️ What This Script Does
This is a Monte Carlo simulator for visualising and calculating the probability of a return based on risk geometry of the model (Risk %, RR, WR). It assesses the probability of returns by generating hundreds or thousands of possible outcomes using your win rate, risk-reward, and position sizing. Each line you see is a different plausible “future,” showing how your account could realistically evolve.
🔶 How To Use It
Input your strategy stats, run a large number of simulations, and focus on three things: how wide the equity curves spread, how deep drawdowns get, and the percentage of profitable outcomes. Then adjust your model and repeat.
🔷 Application in Prop Firm evaluations
Using the threshold system, you can see what risk geometry is most likely to pass a prop firm evaluation. Suprisingly, the most probable geometry for passing an eval can sometimes have a negative expected value!
♦️ Bottom Line
This script helps you move from “how much can I make?” to “how likely am I to profit?”
🔎 Monte Carlo Simulations Explained
Monte Carlo simulations are a method of modeling uncertainty by running many random versions of the same system to see all possible outcomes. In trading, instead of assuming one fixed result, it repeatedly simulates sequences of wins and losses based on your strategy’s statistics (like win rate and risk-reward). This creates a distribution of potential equity curves, showing not just what did happen, but could happen. It’s essentially a way to test probability and survival under randomness rather than relying on a single backtest. Monte Carlo simulations are widely used on quant trading desks around the world to model uncertainty, test strategy robustness, and estimate the probability distribution of trading outcomes under real-world randomness. Indicator
Future EMA ProjectionAs traders, we constantly find ourselves looking at a chart after a sharp drop or rally, asking questions like:
"If the price just chops sideways at this support level for the next two weeks, when exactly will the EMAs finally flatten out and catch up?"
"If we bounce to the next resistance level, will that be enough to force a bullish crossover on the EMA 20 and 50?"
Standard indicators can't answer this because they only plot historical data. The Future EMA Projection indicator solves this by allowing you to visualize "What-If" scenarios right on your chart. It calculates the complex EMA smoothing math for future, unprinted bars, and plots the exact trajectory of your moving averages based on your price assumptions.
🔑 Key Features
Standard EMA Base: Plots three customizable historical EMAs (defaulting to 10, 20, and 50) as solid lines so you don't need a separate indicator.
Dynamic Future Trajectories: Draws dotted lines extending into the future (the blank space on the right side of your chart) to show exactly where the EMAs are heading.
Two "What-If" Modes:
Last Close (Consolidation Mode): Automatically assumes the price will flatline at the very last traded price. Perfect for seeing how long it takes for EMAs to digest a recent volatile move and flatten out during a ranging market.
Custom Price (Target Mode): Allows you to manually input a hypothetical future price. Perfect for testing breakout or breakdown scenarios to see how a specific price target would warp the moving averages.
Precision Price Labels: Automatically generates small price tags at the very end of the projected lines, giving you the exact numerical value the EMA will hit at the end of the projection period.
💡 How to Use It in Your Trading
Scenario 1: Surviving the Chop (Sideways Markets)
After a steep decline to a support zone, set the Mode to "Last Close". Look at the dotted projection lines to see exactly how many bars (days/hours) it will take for the shorter-term EMAs to flatten out and cross back over the longer-term EMAs if the price just stays flat. This helps you avoid jumping into trades too early while the broader trend is still bleeding out momentum.
Scenario 2: Testing Breakout Targets
If you are eyeing a potential long entry, switch the Mode to "Custom Price" and enter your first take-profit target or the next major resistance level. The projection lines will instantly warp. You can visually verify if hitting that target will actually reverse the broader trend (e.g., causing an EMA 10/20 golden cross), or if it's just a dead-cat bounce within a larger bearish EMA structure.
⚙️ Settings
- EMA 1, 2, 3 Length: Customize your moving average periods (Defaults: 10, 20, 50).
- Bars to Project: How far into the future you want to draw the lines (Default: 60 bars).
- Price Assumption: Toggle between "Last Close" or "Custom Price".
- Custom Price (If Selected): The hypothetical target price for your What-If scenario. Indicator
CandelaCharts - Projections 📝 Overview
Projections turns a hand-picked swing window into clean, forward price levels. You pick a time range and an anchor (wick or body); the tool finds that window’s reference extremes (Level 0 & Level 1) and then projects directional extensions (e.g., −1, −2, −2.5, −4) in the chosen bias (Auto / Bullish / Bearish). It draws flat lines across the chart with optional labels so you can plan targets, fade zones, or continuation levels at a glance.
📦 Features
This section highlights the core capabilities you’ll rely on most.
Window-based engine — Define a start/end time; the script records open/high/low/close inside that window and builds levels from those extremes.
Two anchor styles — Project from Wick extremes (Hi/Lo) or Body extremes (max/min of OHLC at the high/low bars).
Directional bias — Auto (up if net up; doji resolves by wick dominance), or force Bullish/Bearish for one-sided extensions.
Default & Custom levels — Toggle pre-sets (−1/−2/−2.5/−4) or enter your own comma-separated list (decimals supported).
Readable drawings — Per-level colors (defaults) or unified bull/bear color (custom), with label size, line style, and width controls.
⚙️ Settings
Use these controls to define the window, pick the projection style, and customize the visuals.
Settings (Core)
From / To — Start and end timestamps of the capture window (everything is computed from this segment).
Bias — Auto / Bullish / Bearish. Guides which way negative levels extend (up for bull, down for bear).
Anchor — Wick uses Hi/Lo; Body uses the body extremes at the high/low bars.
Levels
Levels = Default — Enable any of −1, −2, −2.5, −4 and set each color.
Levels = Custom — Provide your own list (e.g., “−0.5, −1, −1.5, −3”) and pick Bullish/Bearish colors. (Custom uses one color per side.)
Style
Labels — Show/Hide the numeric level tag at the line’s right edge; choose label size.
Lines — Pick solid/dashed/dotted and line width.
⚡️ Showcase
Bearish Projection
Bullish Projection
📒 Usage
Follow these steps to set the window, generate levels, and turn them into a trade plan.
1) Mark the window — Set From/To around the swing you want to project (e.g., prior day, news impulse, weekly move).
2) Choose bias — Auto adapts; or lock Bullish/Bearish if you only want upside or downside projections.
3) Pick anchor — Wick = raw extremes; Body = more conservative reference. Body helps when single-print wicks distort levels.
4) Select levels — Toggle defaults or add a custom list. Negative values (−1, −2, …) extend beyond the reference extreme in the bias direction. (Level 0 and 1 are always drawn as the reference pair.)
5) Style it — Turn labels on, adjust size, and set line style/width for visibility on your timeframe.
6) Trade plan — Treat projections as reaction/continuation zones: scale out into −1/−2/−2.5, watch for fades back into the band, or ride continuation when price accepts beyond a level.
🚨 Alerts
There are no built-in alerts in this version.
⚠️ Disclaimer
Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
Indicator
Indicator
[Suitable Hope] Crypto Upside Model 3.0The "Crypto Upside Model 3.0" indicator dynamically calculates the potential price of any cryptocurrency based on various percentages of Ethereum or Bitcoin's market capitalization.
By fetching and analyzing marketcap data from PulseWire sources, it allows traders to visualize potential price targets if their chosen cryptocurrency reaches specific market dominance levels. This tool is designed for daily timeframe analysis and can be used to set informed price expectations and strategic investment goals, providing valuable insights for long-term investment planning.
Why using the Crypto Upside Model 3.0?
Strategic Planning: Helps traders and investors set realistic price targets and investment goals by visualizing potential market cap scenarios.
Informed Decision-Making: Provides a data-driven approach to understanding how a cryptocurrency might perform relative to major assets like Bitcoin and Ethereum.
Customizable Analysis: Allows users to choose different comparison assets (ETH or BTC) and visualize various market cap dominance percentages, offering tailored insights.
Daily Timeframe Focus: Ideal for swing traders and long-term investors who operate on a daily analysis timeframe, providing relevant and actionable data.
Bull Markets: Identify potential price targets if your cryptocurrency's market cap increases significantly.
Bear Markets: Assess how much value could be retained relative to major cryptocurrencies.
Strategic Entry/Exit Points: Use the visualized targets to plan entry or exit points in your trading strategy.
Comparative Advantage
Dynamic Adaptation: Unlike fixed indicators, this tool adapts to any active chart, making it versatile for multiple cryptocurrencies.
Market Cap Insights: Provides a unique perspective by linking price targets to market cap dominance, a critical factor in the crypto market.
User Instructions
Setup: Add the " Upside Model 3.0" indicator to your PulseWire chart.
Configuration: Use the input settings to select the comparison cryptocurrency (ETH or BTC) and enable the desired market cap percentage plots.
Analysis: The indicator will display potential price targets based on the selected market cap percentages, providing a visual guide for setting price expectations.
Limitations
Marketcap Data Availability: The indicator relies on marketcap data from PulseWire, which may not be available for all cryptocurrencies. If the data is unavailable, the indicator will not function for that asset. This tool is more likely to work with older, established cryptocurrencies, as marketcap data for newer cryptocurrencies may not yet be available.
Daily Timeframe Restriction: The indicator is designed to work exclusively on the daily timeframe, limiting its applicability for intraday trading.
Assumptions of Market Dynamics: The calculations assume a direct correlation between market dominance and price, which may not account for other market dynamics and external factors influencing prices.
Data Accuracy: The accuracy of the indicator depends on the reliability of the data provided by PulseWire, which may sometimes experience delays or inaccuracies.
Currently available cryptocurrencies: Bitcoin, Ethereum, Solana, Binance Coin, Cardano, Ripple, Polkadot, Avalanche, Chainlink, Litecoin, Dogecoin, Terra, Uniswap, VeChain, Stellar, Internet Computer, Hedera, Filecoin, Monero, Aave, TRON, NEAR Protocol, Compound, Maker,... For all compatible cryptocurrencies, please consult CRYPTOCAP's documentation.
Final notes
Although various sources ask a payment or user data for similar kind of private indicators, this one is entirely free and open source. "Uncanny" isn't it? I hope this indicator will provide you value. Feel free to leave a message if you have any questions or constructive feedback.
Examples of how I use this indicator
When using ETH's historical price as a reference compared to Bitcoin's marketcap, we can notice that price generally has been held between the +-30% and 50% lines of BTC's marketcap. If history is repeating again, we can expect major resistances around the 50% looking ahead into the future. This for me would be a great area to potentially reduce my ETH spot position.
When using SOL's historical price action, we can notice that the 15% line of ETH's marketcap has been a top in the previous cycle. Today SOL (July 2024), is back at this level. Could this be a top again or could price break this 15% level and head perhaps towards 30% which currently sits around $260? Time will tell.
These are 2 simple example of how I interpret the data. I'm keen to hear what other findings with other pairs you can find. Indicator
The Next Pivot (With History) [Mxwll]Introducing "The Next Pivot (With History)"!
With permission from the author @KioseffTrading
The script "The Next Pivot" has been restructured to show historical projections!
Features
Find the most similar price sequence per time frame change.
Forecast almost any public indicator! Not just price!
Forecast any session i.e. 4Hr, 1Hr, 15m, 1D, 1W
Forecast ZigZag for any session
Spearmen
Pearson
Absolute Difference
Cosine Similarity
Mean Squared Error
Kendall
Forecasted linear regression channel
The image above shows/explains some of the indicator's capabilities!
Additionally, you can project almost any indicator!
Should load times permit it, the script can search all bar history for a correlating sequence. This won't always be possible, contingent on the forecast length, correlation length, and the number of bars on the chart.
If a load time error occurs, simple reduce the "Bars Back To Search" parameter!
The script can only draw 500 bars into the future. For whatever time frame you are on and the session you wish to project, ensure it will not exceeded a 500-bar forecast!
Reasonable Assessment
The script uses various similarity measures to find the "most similar" price sequence to what's currently happening. Once found, the subsequent price move (to the most similar sequence) is recorded and projected forward.
So,
1: Script finds most similar price sequence
2: Script takes what happened after and projects forward
While this may be useful, the projection is simply the reaction to a possible one-off "similarity" to what's currently happening. Random fluctuations are likely and, if occurring, similarities between the current price sequence and the "most similar" sequence are plausibly coincidental.
Thanks!
Indicator
Indicator
Cycles: 4x dual inputs: Swing / Time Cycles projected forward//Purpose/Premise:
To project forward vertical 'cycle' lines based on user-input anchor points, and to search for confluence.
The idea being that if several well-anchored cycles agree (i.e. we see multiple bunched vertical line confluence in the future), then this may add support to an already existing trade idea, or may indicate an increased likelihood of a shift in direction.
//Usage & notes:
~In the above chart I've anchored to obvious swing lows and swing highs in Btc/Usd from 2020-2022. You could also use fixed time-based cycles from a favored start anchor point. Bars per cycle are printed at the top of each cycle box if your're interested in time cycles. I.e. for 1, 2, 3 month cycles: for BTC you could use 30, 60, 90 bars on daily; for S&P you could use 20, 40, 60 bars on daily.
~On first loading the indicator you will be asked select 'start date', and 'end date' for each of 4 sessions (8x clicks on chart). After this you can easily reset points by clicking the indicator display line three dots>> reset points. Or you can simply drag the vertical box edges (purple lines) to change your cycle anchor points.
~Be sure the start anchor point is before the end anchor point or box/lines won't appear.
~When you drop down to low timeframes you might get bar_index error due to history available: you need then to click the three dots on indicator display line >> reset points >> 8x clicks on the chart.
~Vertical projected lines will match the color of the cycle box they origninate from.
~Lines will project into the future as far as is allowed by pulsewire (500 bars max)
//Inputs:
~Time start and end dates for each cycle (change these as described above, or input manually)
~Show/hide each cycle (default is show all 4)
~Formatting options: color of forward projected lines, line width, line style, line / box / text color.
~Box transparancy: Set to 100 to make boxes invisible & declutter the chart. Set to 0 for maximum opacity. Default is 80.
thanks to @Sathyamurthie for his ideas on cycle confluence which caused me to write this. Indicator
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Range Projections [TFO]The purpose of this indicator is to see how often price reached certain standard deviations from a selected time range. The inspiration for this was to study ICT (Inner Circle Trader) concepts regarding the Central Bank Dealer’s Range (CBDR), which is 2:00 pm - 8:00 pm New York local time according to ICT Core Content. However, the idea and data collection could certainly be applied to any range of time.
The main settings of this indicator are session time, range type, and the standard deviation filter. The session time is the window of price that will be utilized for range projections. The range type can be either body or wick (on the current timeframe). The standard deviation filter is used to eliminate sessions whose ranges (from high to low) are greater than the desired/input number of standard deviations from all available session ranges.
In this example, the time range is set to 16:00 - 20:00, or the time between the New York session close and the Asia session open. Our standard deviations are set to 1, 2, 2.5, and 4. Now, by taking this session’s price range and extrapolating these extensions from the initial range, we can use these levels to see if and how price interacts with them before the next 16:00 - 20:00 session.
Furthermore, we can enable the Data Table to analyze how often price trades to these levels for the sessions that are deemed valid (determined by the standard deviation filter). This time our standard deviations are set to 1, 2, 3, and 4.
This concept can theoretically be applied to any window of time. ICT has mentioned that, in instances where the CBDR is too large, the Asia range may be used instead. We can observe that the indicator behaves the same way when we change the session to the Asia range, 20:00 - 00:00.
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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 pulsewire. 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. Indicator
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