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NSI.GOLD / EVIDENCE & METHODOLOGY

Evidence Library

Trace the evidence.
Inspect the interpretation.

Explore the sources behind neuroscience, neurofinance and gold-market research. Follow a reference from an NSI article to its original publication, and see which bibliographies still require review.

114Articles catalogued
314Unique source URLs
113Bibliographies imported
1Legacy articles for review

THE SOURCE REGISTER

A transparent research trail.

405 unique article–source connections · 0 imports pending

114 articles · Page 4 of 5

InteractionBibliography imported

Entry Price as an Anchor: Why a Trade's Starting Point Can Distort Judgment

3 unique cited sources

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  1. [1] Tversky and Kahneman, Judgment under Uncertainty: Heuristics and Biases

    https://doi.org/10.1126/science.185.4157.1124 ↗
  2. [2] Genesove and Mayer, Loss Aversion and Seller Behavior: Evidence from the Housing Market

    https://www.nber.org/papers/w8143 ↗
  3. Odean (1998), investors reluctant to realize losses

    https://doi.org/10.1111/0022-1082.00072 ↗
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Does Stress Cause the Decision? Causal Questions in Observational Neurofinance

3 unique cited sources

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  1. [1] Greenland, S., Pearl, J., & Robins, J. M. (1999). Causal diagrams for epidemiologic research. Epidemiology, 10, 37–48.

    https://pubmed.ncbi.nlm.nih.gov/9888278 ↗
  2. [2] Pearl, J. (1995). Causal diagrams for empirical research. Biometrika, 82, 669–688.

    https://doi.org/10.1093/biomet/82.4.669 ↗
  3. [3] Hernán, M. A., & Robins, J. M. (2020). Causal Inference: What If. Author-maintained book and materials.

    https://miguelhernan.org/whatifbook ↗
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When a Model Knows Too Much: Data Leakage in NSI Prediction Research

3 unique cited sources

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  1. [1] Kaufman, S., Rosset, S., Perlich, C., & Stitelman, O. (2012). Leakage in data mining: formulation, detection, and avoidance. ACM Transactions on Knowledge Discovery from Data.

    https://doi.org/10.1145/2382577.2382579 ↗
  2. [2] Scikit-learn developers. Common pitfalls and recommended practices: data leakage.

    https://scikit-learn.org/stable/common_pitfalls.html ↗
  3. [3] Kapoor, S., & Narayanan, A. (2023). Leakage and the reproducibility crisis in machine-learning-based science. Patterns, 4, 100804.

    https://doi.org/10.1016/j.patter.2023.100804 ↗
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One Significant Result Among Many: Multiple Testing in Neurofinance Research

3 unique cited sources

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  1. [1] Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011). False-positive psychology: undisclosed flexibility in data collection and analysis allows presenting anything as significant. Psychological Science.

    https://pubmed.ncbi.nlm.nih.gov/22006061 ↗
  2. [2] Gelman, A., & Loken, E. (2014). The Statistical Crisis in Science. American Scientist, 102, 460.

    https://doi.org/10.1511/2014.111.460 ↗
  3. [3] Benjamini, Y., & Hochberg, Y. (1995). Controlling the False Discovery Rate: a practical and powerful approach to multiple testing. JRSS Series B, 57, 289–300.

    https://doi.org/10.1111/j.2517-6161.1995.tb02031.x ↗
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Before the Result: What Preregistration Would Require of an NSI Study

3 unique cited sources

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  1. [1] Nosek, B. A., Ebersole, C. R., DeHaven, A. C., & Mellor, D. T. (2018). The preregistration revolution. PNAS, 115, 2600–2606.

    https://doi.org/10.1073/pnas.1708274114 ↗
  2. [2] Chambers, C. D. (2013). Registered Reports: a new publishing initiative at Cortex. Cortex, 49, 609–610.

    https://pubmed.ncbi.nlm.nih.gov/23347556 ↗
  3. [3] Center for Open Science. Welcome to Registrations & Preregistrations. OSF Support.

    https://help.osf.io/article/330-welcome-to-registrations ↗
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Trusting a Gut Feeling: Interoceptive Accuracy Is Not the Same as Confidence

3 unique cited sources

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  1. [1] Garfinkel, S. N., et al. (2015). Knowing your own heart: distinguishing interoceptive accuracy from interoceptive awareness. Biological Psychology.

    https://pubmed.ncbi.nlm.nih.gov/25451381 ↗
  2. [2] Critchley, H. D., et al. (2004). Neural systems supporting interoceptive awareness. Nature Neuroscience, 7, 189–195.

    https://doi.org/10.1038/nn1176 ↗
  3. [3] Ring, C., et al. (2015). Effects of heartbeat feedback on beliefs about heart rate and heartbeat counting: a cautionary tale about interoceptive awareness.

    https://pubmed.ncbi.nlm.nih.gov/25553874 ↗
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Naming an Emotion Is Not Explaining a Market: What Affect Labeling Can Offer

3 unique cited sources

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  1. [1] Lieberman, M. D., et al. (2007). Putting feelings into words: affect labeling disrupts amygdala activity in response to affective stimuli. Psychological Science.

    https://pubmed.ncbi.nlm.nih.gov/17576282 ↗
  2. [2] Kircanski, K., Lieberman, M. D., & Craske, M. G. (2012). Feelings into words: contributions of language to exposure therapy. Psychological Science.

    https://pmc.ncbi.nlm.nih.gov/articles/PMC4721564 ↗
  3. [3] Tabibnia, G., Lieberman, M. D., & Craske, M. G. (2008). The lasting effect of words on feelings. Emotion.

    https://pmc.ncbi.nlm.nih.gov/articles/PMC4727455 ↗
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Caffeine Timing and Decision Readiness: Alertness Is Only Part of the Story

3 unique cited sources

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  1. [1] Drake, C., Roehrs, T., Shambroom, J., & Roth, T. (2013). Caffeine effects on sleep taken 0, 3, or 6 hours before going to bed. Journal of Clinical Sleep Medicine.

    https://pubmed.ncbi.nlm.nih.gov/24235903 ↗
  2. [2] Gardiner and colleagues (2024/2025). Dose and timing effects of caffeine on subsequent sleep: a randomized clinical crossover trial. Sleep, 48, zsae230.

    https://pmc.ncbi.nlm.nih.gov/articles/PMC11985402 ↗
  3. [3] Landolt, H. P., Werth, E., Borbély, A. A., & Dijk, D. J. (1995). Caffeine intake in the morning affects human sleep and EEG power spectra at night. Brain Research, 675, 67–74.

    https://pubmed.ncbi.nlm.nih.gov/7796154 ↗
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From Intention to Action: Can If–Then Plans Protect Decision Discipline?

3 unique cited sources

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  1. [1] Gollwitzer, P. M., & Brandstätter, V. (1997). Implementation intentions and effective goal pursuit. Journal of Personality and Social Psychology, 73, 186–199.

    https://doi.org/10.1037/0022-3514.73.1.186 ↗
  2. [2] Sheeran, P., & Orbell, S. (1999). Implementation intentions and repeated behaviour. European Journal of Social Psychology, 29, 349–369.

    https://doi.org/10.1002/(sici)1099-0992(199903/05)29:2/3%3c349::aid-ejsp931%3e3.0.co;2-y ↗
  3. [3] Milne, S., Orbell, S., & Sheeran, P. (2002). Combining motivational and volitional interventions to promote exercise participation. British Journal of Health Psychology, 7, 163–184.

    https://doi.org/10.1348/135910702169420 ↗
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The Data Traders Actually Saw: Economic Revisions and the Hindsight Trap

3 unique cited sources

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  1. [1] U.S. Bureau of Labor Statistics. Revisions to BLS data.

    https://www.bls.gov/about-bls/revisions.htm ↗
  2. [2] U.S. Bureau of Economic Analysis. GDP release: additional information.

    https://www.bea.gov/news/gdp-release-additional-information ↗
  3. [3] Federal Reserve Bank of St. Louis. ALFRED: Download Data Help.

    https://alfred.stlouisfed.org/help/downloaddata ↗
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Gold ETF Flows, Holdings and AUM: Three Measures That Tell Different Stories

3 unique cited sources

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  1. [1] World Gold Council. Gold ETF holdings and flows: definitions and methodology.

    https://www.gold.org/goldhub/data/global-gold-backed-etf-holdings-and-flows ↗
  2. [2] World Gold Trust Services. SPDR Gold Shares: fund information.

    https://www.spdrgoldshares.com/usa/gld ↗
  3. [3] World Gold Trust Services (2014). How SPDR Gold Shares Are Created and Redeemed. SEC filing.

    https://www.sec.gov/Archives/edgar/data/1222333/000119312514286430/d767060dfwp.htm ↗
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The Price on the Chart Is Not Your Fill: Understanding Execution Costs

3 unique cited sources

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  1. [1] U.S. SEC, Investor.gov. Types of Orders.

    https://www.investor.gov/introduction-investing/investing-basics/how-stock-markets-work/types-orders ↗
  2. [2] U.S. SEC, Investor.gov. Executing an Order.

    https://www.investor.gov/introduction-investing/investing-basics/how-stock-markets-work/executing-order ↗
  3. [3] U.S. SEC, Investor.gov. Investor Bulletin: Understanding Order Types.

    https://www.investor.gov/introduction-investing/general-resources/news-alerts/alerts-bulletins/investor-bulletins-14 ↗
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FOMC Day and Gold: The Difference Between a Decision and a Surprise

3 unique cited sources

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  1. [1] Federal Reserve Board. FOMC meeting calendars and information.

    https://www.federalreserve.gov/monetarypolicy/fomccalendars.htm ↗
  2. [2] Gürkaynak, R., Sack, B., & Swanson, E. (2004). Do Actions Speak Louder Than Words? Finance and Economics Discussion Series.

    https://www.federalreserve.gov/econres/feds/do-actions-speak-louder-than-words-the-response-of-asset-prices-to-monetary-policy-actions-and-statements.htm ↗
  3. [3] Federal Reserve Board. FOMC materials.

    https://www.federalreserve.gov/monetarypolicy/materials ↗
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Listening Without Surrendering Judgment: How People Weight Advice

3 unique cited sources

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  1. [1] Yaniv, I., & Kleinberger, E. (2000). Advice taking in decision making: egocentric discounting and reputation formation. Organizational Behavior and Human Decision Processes.

    https://pubmed.ncbi.nlm.nih.gov/11056071 ↗
  2. [2] Yaniv, I. (2004). Receiving other people's advice: influence and benefit. Organizational Behavior and Human Decision Processes, 93, 1–13.

    https://doi.org/10.1016/j.obhdp.2003.08.002 ↗
  3. [3] Soll, J. B., & Larrick, R. P. (2009). Strategies for revising judgment: how and how well people use others' opinions. Journal of Experimental Psychology: Learning, Memory, and Cognition.

    https://pubmed.ncbi.nlm.nih.gov/19379049 ↗
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The Same Risk in Different Words: Framing Effects in Financial Decisions

3 unique cited sources

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  1. [1] Tversky, A., & Kahneman, D. (1981). The framing of decisions and the psychology of choice. Science, 211, 453–458.

    https://pubmed.ncbi.nlm.nih.gov/7455683 ↗
  2. [2] Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk. Econometrica, 47, 263–291.

    https://doi.org/10.2307/1914185 ↗
  3. [3] De Martino, B., Kumaran, D., Seymour, B., & Dolan, R. J. (2006). Frames, biases, and rational decision-making in the human brain. Science.

    https://pmc.ncbi.nlm.nih.gov/articles/PMC2631940 ↗
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When Past Effort Becomes a Reason to Continue: Sunk Costs and Market Commitment

3 unique cited sources

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  1. [1] Arkes, H. R., & Blumer, C. (1985). The psychology of sunk cost. Organizational Behavior and Human Decision Processes, 35, 124–140.

    https://doi.org/10.1016/0749-5978(85)90049-4 ↗
  2. [2] Staw, B. M. (1976). Knee-deep in the big muddy: a study of escalating commitment to a chosen course of action. Organizational Behavior and Human Performance, 16, 27–44.

    https://doi.org/10.1016/0030-5073(76)90005-2 ↗
  3. [3] Garland, H. (1990). Throwing good money after bad: the effect of sunk costs on the decision to escalate commitment. Journal of Applied Psychology, 75, 728–731.

    https://doi.org/10.1037/0021-9010.75.6.728 ↗
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Confidence, Turnover and Costs: Why More Trading Is Not More Evidence

3 unique cited sources

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  1. [1] Barber, B. M., & Odean, T. (2000). Trading Is Hazardous to Your Wealth. Journal of Finance, 55, 773–806.

    https://doi.org/10.1111/0022-1082.00226 ↗
  2. [2] Odean, T. (1999). Do Investors Trade Too Much? American Economic Review, 89, 1279–1298.

    https://www.aeaweb.org/articles?id=10.1257/aer.89.5.1279 ↗
  3. [3] Barber, B. M., & Odean, T. (2001). Boys Will Be Boys: Gender, Overconfidence, and Common Stock Investment. Quarterly Journal of Economics, 116, 261–292.

    https://doi.org/10.1162/003355301556400 ↗
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What Would Validate NSI? Baselines, Replication and Out-of-Sample Tests

3 unique cited sources

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  1. Scheinost et al. (2019), predictive modeling of individual differences in neuroimaging

    https://pubmed.ncbi.nlm.nih.gov/30831310 ↗
  2. Button et al. (2013), statistical power and neuroscience reliability

    https://pubmed.ncbi.nlm.nih.gov/23571845 ↗
  3. Wilson and Collins (2019), computational modeling of behavioral data

    https://pubmed.ncbi.nlm.nih.gov/31769410 ↗
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Error-Related Negativity and Trading Rules: What EEG Can Really Measure

3 unique cited sources

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  1. Holroyd and Coles (2002), neural basis of error processing

    https://pubmed.ncbi.nlm.nih.gov/12374324 ↗
  2. Hajcak, McDonald and Simons (2003), autonomic responses and error monitoring

    https://pubmed.ncbi.nlm.nih.gov/14986842 ↗
  3. Scheinost et al. (2019), predictive modeling of individual differences in neuroimaging

    https://pubmed.ncbi.nlm.nih.gov/30831310 ↗
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Skin Conductance and Emotional Arousal: Why One Signal Cannot Reveal Fear

3 unique cited sources

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  1. Hajcak, McDonald and Simons (2003), autonomic responses and error monitoring

    https://pubmed.ncbi.nlm.nih.gov/14986842 ↗
  2. Lo and Repin (2002), psychophysiology of real-time financial risk processing

    https://pubmed.ncbi.nlm.nih.gov/11970795 ↗
  3. Venkatraman et al. (2011), sleep deprivation biases economic preferences

    https://pubmed.ncbi.nlm.nih.gov/21389226 ↗
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Heart-Rate Variability Is Not a Fear Meter: Designing an NSI Measurement Protocol

3 unique cited sources

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  1. Laborde et al. (2017), heart rate variability measurement and reporting

    https://pubmed.ncbi.nlm.nih.gov/28265249 ↗
  2. Kromenacker et al. (2018), vagal mediation during slow breathing

    https://pubmed.ncbi.nlm.nih.gov/29771730 ↗
  3. Coates and Herbert (2008), endogenous steroids on a London trading floor

    https://doi.org/10.1073/pnas.0704025105 ↗
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The Vigilance Decrement: Can Monitoring Every Gold Tick Reduce Accuracy?

3 unique cited sources

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  1. Helton and Russell (2011), working-memory load and vigilance decrement

    https://pubmed.ncbi.nlm.nih.gov/21643711 ↗
  2. Ariga and Lleras (2011), brief breaks and vigilance maintenance

    https://pubmed.ncbi.nlm.nih.gov/21211793 ↗
  3. Psychometric Curves Reveal Three Mechanisms of Vigilance Decrement (2021)

    https://pubmed.ncbi.nlm.nih.gov/34543100 ↗
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Slow Breathing, HRV and Decision Readiness: Separating Response from Evidence

3 unique cited sources

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  1. Kromenacker et al. (2018), vagal mediation during slow breathing

    https://pubmed.ncbi.nlm.nih.gov/29771730 ↗
  2. Blum et al. (2019), heart-rate variability biofeedback experiment

    https://pubmed.ncbi.nlm.nih.gov/31616353 ↗
  3. Laborde et al. (2017), heart rate variability measurement and reporting

    https://pubmed.ncbi.nlm.nih.gov/28265249 ↗
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Acute Stress and the Habit Shift: When a Trading Plan Stops Directing Action

3 unique cited sources

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  1. Schwabe and Wolf (2011), stress shifts action control toward habit

    https://pubmed.ncbi.nlm.nih.gov/21219935 ↗
  2. Schwabe et al. (2011), beta-adrenergic modulation of stress-induced habits

    https://pubmed.ncbi.nlm.nih.gov/22114298 ↗
  3. Lo and Repin (2002), psychophysiology of real-time financial risk processing

    https://pubmed.ncbi.nlm.nih.gov/11970795 ↗
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RESEARCH CONNECTIONS

Context for a better question.

The registry prepares Research Basis for CYGURU.GOLD and Research Context for verified Gold Terminal events. A related study provides interpretation and limitations; it does not create a trading signal or establish that news caused a market move.

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