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Paper Citation Record · LEDGER

Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models

As of 19 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.19453.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.19453 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T13:29:24.864305Z

measured 26 of 26 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

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Reference resolution

26 of 26 outbound references displayed

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Outbound references

Observation bbbcf6d5-d98d-4c22-b869-476b1f31d847 · outbound

This paper cites Anticipating cryptocurrency prices using machine learning.Complexity, 2018:1–16, 2018.

Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models Anticipating cryptocurrency prices using machine learning.Complexity, 2018:1–16, 2018

Reference 1

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Observation 01b496a7-bc77-46dc-8e98-e6a8c328c8fd · outbound

This paper cites Arnott, Campbell R.

Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models Arnott, Campbell R

Reference 2

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doi, observed 2026-08-01T13:38:36.170694Z

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Observation 591b4165-9837-4f22-a58f-a1b28815c179 · outbound

This paper cites Artificial intelligence risk management framework: Generative artificial intelligence profile.

Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models Artificial intelligence risk management framework: Generative artificial intelligence profile

Reference 3

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Observation 9370dab9-47b1-4992-bbd1-adcf614d35d3 · outbound

This paper cites Bailey and Marcos López de Prado.

Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models Bailey and Marcos López de Prado

Reference 4

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source=pdf_text observed=2026-08-01T13:29:22.797917Z digest=sha256:68352498414f6e38fb788e13088779250dded4002b9bac58478e1a66f6b91966

Observation d95c1777-9926-470f-8b10-d0009db4638d · outbound

This paper cites Bailey, Jonathan M.

Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models Bailey, Jonathan M

Reference 5

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Observation 3d9cc3e4-2a56-4521-9c07-ab23663324fc · outbound

This paper cites Hyndman, and Bonsoo Koo.

Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models Hyndman, and Bonsoo Koo

Reference 6

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Observation 480c3160-08fa-46ec-988c-b9e999d070d2 · outbound

This paper cites Commission rates.

Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models Commission rates

Reference 7

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Observation 32323f89-d961-4b9b-8921-5f35c531c107 · outbound

This paper cites Spot trading fee rate.https://www.binance.com/en/fee/trading, 2026.

Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models Spot trading fee rate.https://www.binance.com/en/fee/trading, 2026

Reference 8

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Observation 57f2af45-cc48-439e-b41b-fffca2df61f1 · outbound

This paper cites Spot REST API: Kline/candlestick data.

Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models Spot REST API: Kline/candlestick data

Reference 9

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Observation 4df75a51-22e1-460c-a40f-928141a286c9 · outbound

This paper cites Machine Learning-Based Bitcoin Trading Under Transaction Costs: Evidence From Walk-Forward Forecasting.

Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models Machine Learning-Based Bitcoin Trading Under Transaction Costs: Evidence From Walk-Forward Forecasting

Reference 10

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Observation 202bfb5e-21c7-4367-bdf6-ba6641520a09 · outbound

This paper cites Evaluating time series forecasting models: An empirical study on performance estimation methods.Machine Learning, 109(11):1997–2028,.

Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models Evaluating time series forecasting models: An empirical study on performance estimation methods.Machine Learning, 109(11):1997–2028,

Reference 11

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Observation 1903a266-6261-4de3-8d0a-2089de7c8ed7 · outbound

This paper cites predict, then optimize.

Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models predict, then optimize

Reference 12

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Observation 71c5bb5f-8160-4fbb-9ce9-ad08828feafc · outbound

This paper cites Selective classification for deep neural networks.

Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models Selective classification for deep neural networks

Reference 13

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Observation 56acd6af-2b50-4726-99ad-0d50191d9ac4 · outbound

This paper cites Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting.

Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting

Reference 14

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Observation 13e909c5-3fdb-4b5b-9700-bd4f79323711 · outbound

This paper cites Deep learning and NLP in cryp- tocurrency forecasting: Integrating financial, blockchain, and social media data.International Journal of Forecasting, 41(4):1666–1695, 2025.

Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models Deep learning and NLP in cryp- tocurrency forecasting: Integrating financial, blockchain, and social media data.International Journal of Forecasting, 41(4):1666–1695, 2025

Reference 15

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Observation 4f36013d-6b67-4c50-b4b9-efa3254d045b · outbound

This paper cites an unresolved cited work.

Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models Unresolved cited work

Reference 16

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Observation c6f1c4bb-c313-4e00-bd04-6a769a089a40 · outbound

This paper cites Harvey, Yan Liu, and Heqing Zhu.

Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models Harvey, Yan Liu, and Heqing Zhu

Reference 17

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Observation b4bb3544-29d7-4f8a-99df-46c6ea2b3c19 · outbound

This paper cites Quantbot research framework: Simulation-only spot-crypto research repository.

Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models Quantbot research framework: Simulation-only spot-crypto research repository

Reference 18

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Observation 00e9acdb-d59d-4c3a-9737-0a15050cd2ef · outbound

This paper cites Lo and A.

Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models Lo and A

Reference 19

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Observation 9dbddc9f-40d2-4934-861b-db054ecc38db · outbound

This paper cites The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets.PLOS ONE, 10(3): e0118432, 2015.

Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets.PLOS ONE, 10(3): e0118432, 2015

Reference 20

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Observation 71cc01cc-74c5-4940-9a20-8c8da845df3e · outbound

This paper cites Forecasting and trading cryptocurrencies with machine learning under changing market conditions.Financial Innovation, 7(1):3, 2021.

Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models Forecasting and trading cryptocurrencies with machine learning under changing market conditions.Financial Innovation, 7(1):3, 2021

Reference 21

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source=pdf_text observed=2026-08-01T13:29:24.508525Z digest=sha256:47a491801385375262756d5763d6e7c61efc577191f336e92cb6f9e3f0f1be85

Observation de9f5038-8592-44ca-9796-6268fd182248 · outbound

This paper cites Data-snooping, technical trading rule performance, and the bootstrap.The Journal of Finance, 54(5):1647–1691, 1999.

Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models Data-snooping, technical trading rule performance, and the bootstrap.The Journal of Finance, 54(5):1647–1691, 1999

Reference 22

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Observation f68a17d6-46ca-4001-9d54-7abda28c8639 · outbound

This paper cites A reality check for data snooping.Econometrica, 68(5):1097–1126, 2000.

Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models A reality check for data snooping.Econometrica, 68(5):1097–1126, 2000

Reference 23

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Observation 18aa8d86-2f42-4e62-b874-425dc5d866b2 · outbound

This paper cites Agentic Trading: When LLM Agents Meet Financial Markets.

Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models Agentic Trading: When LLM Agents Meet Financial Markets

Reference 24

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Observation 5d796ab8-88b0-4f5e-a256-e8c1984a8bef · outbound

This paper cites Winker, Rakesh Aggarwal, Lorraine E.

Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models Winker, Rakesh Aggarwal, Lorraine E

Reference 25

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Observation b3e82df6-7182-47be-821c-2dfad4d948da · outbound

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Predictive Extrema, Unprofitable Policies: An AI-Assisted Audit of Candle-Based Binance Spot Timing Models Unresolved cited work

Reference 2020

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