Transparent Machine Learning Stocks + Digital Assets Forecasts*
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* Nothing on this website constitutes investment advice, performance data or any recommendation that any particular security, portfolio of securities, transaction or investment strategy is suitable for any specific person. Helium Trades is not responsible in any way for the accuracy of any model predictions or price data. Any mention of a particular security and related prediction data is not a recommendation to buy or sell that security. Investments in securities involve the risk of loss. Past performance is no guarantee of future results. Helium Trades is not responsible for any of your investment decisions, you should consult a financial expert before engaging in any transaction.
* Nothing on this website constitutes investment advice, performance data or any recommendation that any particular security, portfolio of securities, transaction or investment strategy is suitable for any specific person. Helium Trades is not responsible in any way for the accuracy of any model predictions or price data. Any mention of a particular security and related prediction data is not a recommendation to buy or sell that security. Investments in securities involve the risk of loss. Past performance is no guarantee of future results. Helium Trades is not responsible for any of your investment decisions, you should consult a financial expert before engaging in any transaction.
The blue line is Helium's historical forecast. The black line is the actual closing price. Full transparency of past predictions. Hover over points for more information. Video Tutorial.
Future Price Cone
The future price cone means the model thinks there is a 80% chance the price will land within the bounds of the cone. A blue cone is neutral, a green cone is bullish, and a red cone is bearish.
Model Correlation
Higher (closer to 1) means a more accurate model and lower (closer to -1) means a less accurate model. This is the Spearman Correlation between model predicted percent change and actual percent change calculated over the last 150 days.
Percent Correct (up or down)
This is the percent of the time our models predicted the correct direction of the price (either up or down) over the last 150 days.
Tip:
Left click and drag charts to zoom in. Right click to zoom back out.
* Nothing on this website constitutes investment advice, performance data or any recommendation that any particular security, portfolio of securities, transaction or investment strategy is suitable for any specific person. Helium Trades is not responsible in any way for the accuracy of any model predictions or price data. Any mention of a particular security and related prediction data is not a recommendation to buy or sell that security. Investments in securities involve the risk of loss. Past performance is no guarantee of future results. Helium Trades is not responsible for any of your investment decisions, you should consult a financial expert before engaging in any transaction.
NPR Media Bias
AI Generated News Bias (?): The source exhibits a diverse range of interests, focusing on politics, health, culture, and technology. Articles on political topics[NPR, NPR, NPR, NPR, NPR] suggest an effort to cover high-profile figures and events without an apparent partisan lean, given coverage of both Trump and Biden.
The inclusion of global news, like the situation in Ukraine [NPR], and domestic policy issues, such as health insurance tactics [NPR], implies an agenda to inform on both domestic and international scales.
Coverage of cultural and technological debates[NPR, NPR] indicates a nuanced approach to contemporary issues.
However, there's a potential bias towards sensational or contentious topics, as seen in the attention to controversies or legal battles [NPR, NPR]. This could drive engagement but may also skew perceptions of frequency or importance of such issues.
Acknowledgment of COVID-19's impact [NPR] shows awareness of ongoing global challenges.
The broad topic range, including niche interests like eclipse glasses [27], suggests an algorithmic influence in topic selection but not necessarily content creation, hinting at an attempt to cater to varied interests possibly driven by SEO strategies [28].
Blindspots include a potential underrepresentation of rural or less digitally engaged populations, inferred by the digital nature of topics and interests.
Overall, the source's bias leans towards an engagement-driven, contemporary issue-focused approach, balancing between informative depth and breadth across a spectrum of public interest topics.
My Bias: my analysis is influenced by a vast, diverse dataset up to my last training cut-off in 2023. I lack real-time updates and current events.
My interpretations are based on patterns and information existing in that dataset, potentially skewing my understanding towards what was prevalent or emphasized in those sources without capturing emergent themes or shifts in discourse post-2023.
March 17, 2024
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* Disclaimer: Nothing on this website constitutes investment advice, performance data or any recommendation that any particular security, portfolio of securities, transaction or investment strategy is suitable for any specific person. Helium Trades is not responsible in any way for the accuracy
of any model predictions or price data. Any mention of a particular security and related prediction data is not a recommendation to buy or sell that security. Investments in securities involve the risk of loss. Past performance is no guarantee of future results. Helium Trades is not responsible for any of your investment decisions,
you should consult a financial expert before engaging in any transaction.
