Rackla Metals Correlations

RMETF Stock

USD 0.06 0.01 7.35%

The current 90-days correlation between Rackla Metals and Aurion Resources is -0.11 (i.e., Good diversification). The correlation of Rackla Metals is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.

Rackla Metals Correlation With Market

Good diversification

The correlation between Rackla Metals and DJI is -0.19 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Rackla Metals and DJI in the same portfolio, assuming nothing else is changed.

The ability to find closely correlated positions to Rackla Metals could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Rackla Metals when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Rackla Metals - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Rackla Metals to buy it.

Moving together with Rackla Pink Sheet

0.71	APLD	Applied Blockchain Trending	Pair Corr
0.75	NVDA	NVIDIA	Pair Corr
0.73	ALAB	Astera Labs, Common Tech Boost	Pair Corr
0.65	MRVL	Marvell Technology Earnings Call This Week	Pair Corr
0.81	STLD	Steel Dynamics Fiscal Year End 28th of January 2025	Pair Corr
0.63	SCHW	Charles Schwab Corp Fiscal Year End 15th of January 2025	Pair Corr
0.76	ADSK	Autodesk	Pair Corr
0.73	GVA	Granite Construction	Pair Corr
0.83	PYPL	PayPal Holdings	Pair Corr
0.75	CRWD	Crowdstrike Holdings Earnings Call This Week	Pair Corr

Moving against Rackla Pink Sheet

0.76	BKRKF	PT Bank Rakyat	Pair Corr
0.71	NCMGF	Newcrest Mining	Pair Corr
0.71	NCMGY	Newcrest Mining	Pair Corr
0.65	PPERF	Bank Mandiri Persero	Pair Corr
0.64	BKRKY	Bank Rakyat	Pair Corr
0.58	EATBF	Eat Beyond Global	Pair Corr
0.57	SHG	Shinhan Financial	Pair Corr
0.54	PPERY	Bank Mandiri Persero	Pair Corr
0.36	GOLD	Barrick Gold Corp Aggressive Push	Pair Corr
0.31	NEM	Newmont Goldcorp Corp Aggressive Push	Pair Corr
0.61	AMIX	Autonomix Medical, Common	Pair Corr

Related Correlations Analysis

	AIRRF	LGDTF	RIOFF	ORZCF	RMRDF	PDIYF	FSM	SAND	IAUX
AIRRF		-0.07	0.73	0.57	0.64	0.1	0.43	0.6	0.52	AIRRF
LGDTF	-0.07		-0.42	0.48	-0.37	0.04	-0.02	0.16	0.63	LGDTF
RIOFF	0.73	-0.42		0.24	0.72	-0.01	0.7	0.57	0.13	RIOFF
ORZCF	0.57	0.48	0.24		0.41	0.14	0.23	0.5	0.76	ORZCF
RMRDF	0.64	-0.37	0.72	0.41		0.06	0.42	0.58	0.2	RMRDF
PDIYF	0.1	0.04	-0.01	0.14	0.06		-0.02	0.36	0.27	PDIYF
FSM	0.43	-0.02	0.7	0.23	0.42	-0.02		0.69	0.19	FSM
SAND	0.6	0.16	0.57	0.5	0.58	0.36	0.69		0.57	SAND
IAUX	0.52	0.63	0.13	0.76	0.2	0.27	0.19	0.57		IAUX
	AIRRF	LGDTF	RIOFF	ORZCF	RMRDF	PDIYF	FSM	SAND	IAUX

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Correlation Matchups

Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.

High positive correlations

IAUX	+ 0.76	ORZCF
RIOFF	+ 0.73	AIRRF
RMRDF	+ 0.72	RIOFF
FSM	+ 0.7	RIOFF
SAND	+ 0.69	FSM
RMRDF	+ 0.64	AIRRF

High negative correlations

RIOFF	- 0.42	LGDTF
RMRDF	- 0.37	LGDTF
LGDTF	- 0.07	AIRRF
FSM	- 0.02	PDIYF
FSM	- 0.02	LGDTF
PDIYF	- 0.01	RIOFF

Risk-Adjusted Indicators

There is a big difference between Rackla Pink Sheet performing well and Rackla Metals Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Rackla Metals' multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.

	Mean Deviation	Jensen Alpha	Sortino Ratio	Treynor Ratio	Semi Deviation	Expected Shortfall	Potential Upside	Value @Risk	Maximum Drawdown
AIRRF	2.30	(0.05)	(0.03)	0.01	2.93	(3.47)	5.13	(6.12)	15.14
LGDTF	3.05	(0.48)	0.00	(0.83)	0.00	0.00	4.76	(6.90)	18.80
RIOFF	2.42	0.32	0.06	16.98	2.24	(4.33)	5.77	(4.26)	16.67
ORZCF	2.70	(0.32)	0.00	(0.92)	0.00	0.00	5.36	(6.67)	22.11
RMRDF	4.81	0.43	0.08	0.40	4.32	(8.18)	11.11	(8.70)	35.00
PDIYF	2.43	0.54	0.00	1.68	0.00	0.00	11.76	0.00	55.77
FSM	2.33	0.00	(0.01)	0.12	3.15	(2.43)	4.66	(5.13)	17.32
SAND	1.73	0.09	0.00	0.42	2.41	(1.81)	3.33	(2.56)	15.60
IAUX	4.54	(0.28)	0.00	(0.12)	0.00	0.00	10.28	(4.72)	66.32

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Our tools can tell you how much better you can do entering a position in Rackla Metals without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

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