Bitcoin Bubble Risk (Adjusted for Diminishing Returns)Description:
This indicator offers a unique lens through which traders can assess risk in the Bitcoin market, specifically tailored to recognize the phenomenon of diminishing returns. By calculating the natural logarithm of the price relative to a 20-month Simple Moving Average (SMA) and applying a dynamic normalization process, this tool highlights periods of varying risk based on historical price movements and adjusted returns. The indicator is designed to provide nuanced insights into potential risk levels, aiding traders in their decision-making processes.
Usage:
To effectively use this indicator, apply it to your chart while ensuring that Bitcoin's price is set to display in monthly candles. This setting is vital for the indicator to accurately reflect the market's risk levels, as it relies on long-term data aggregation to inform its analysis.
This tool is especially beneficial for traders focused on medium to long-term investment horizons in Bitcoin, offering insights into when the market may be entering higher or lower risk phases. By incorporating this indicator into your analysis, you can gain a deeper understanding of potential risk exposures based on the adjusted price trends and market conditions.
Originality and Utility:
This script stands out for its innovative approach to risk analysis in the cryptocurrency space. By adjusting for the diminishing returns seen in mature markets, it provides a refined perspective on risk levels, enhancing traditional methodologies. This script is a significant contribution to the TradingView community, offering a unique tool for traders aiming to navigate the complexities of the Bitcoin market with informed risk management strategies.
Important Note:
This indicator is for informational purposes only and should not be considered investment advice. Users are encouraged to conduct their own research and consult with financial professionals before making investment decisions. The accuracy of the indicator's predictions can only be ensured when applied to monthly candlestick charts of Bitcoin.
Bubble
HPK Crash IndicatorFrom Hari P. Krishnan's book, The Second Leg Down: Strategies for Profiting after a Market Sell-Off :
"We start by specifying the year on year (YoY) change in the index. Next, we calculate the 5 year trailing Z score of the YoY returns. We also calculate the 5 year trailing Z score of 1 month historical volatility for the index, using daily returns. Our crisis warning indicator flashes if both Z scores are above 2. In other words, recent price increases and current volatility need to be at least 2 standard deviations above normal.
It can be seen that this basic implementation is reasonably effective, accepting that the effective sample set is small. A false signal is given in mid-2006, but the signal is quickly washed away. The remaining signals occur fairly close to the point of collapse. The idea that elevated volatility is predictive of danger is not new and underpins many asset allocation schemes. However, Sornette deserves credit for moving away from a largely valuation-based approach to predicting crises to one that relies upon price action itself."
Bubbles BB futuresQuick and simple BB bubble indicator for Futures
Draw an arrow if candle corpse is out of Bollinger Band (Upper / Lower)
It's not a signal.
I use it to off-load my charts
Pinescript Bubble Sort using ArraysThe new feature of arrays allows for a multitude of new possibilities within Pinescript. This script implements a bubble sort function with most probable efficiency of О(n^2) with a best-case being O(n). This sort does not require large amounts of memory to process and has advantages when sorting small lists of data.
The main advantages: Bubble sort is an in-place sorting algorithm. It does not require extra memory or even stack space like in the case of merge sort or quicksort.
The main disadvantages: In the worst case the time complexity is equal to O(n^2) which is not efficient in comparison to other sorts which can have a time complexity of O(n*logn).
The Pseudocode for a bubble sort is as follows:
begin BubbleSort(list)
for all elements of list
if list > list
swap(list , list )
end if
end for
return list
end BubbleSort
The results of the sort are plotted against the unsorted list and overlayed on the chart.
A big thanks to Alex Grover for the help.
No BubbleSimply removes a period of time from the chart and replaces it with no value. This can help with scaling or bias.
