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FX Warrior Kurumi premieres in Japan, turning cute anime into a warning about leverage and liquidation
Adam Cai says AI agents cannot keep making profits and users must bear responsibility
AI investing
2026-09-15 23:56:00

A four-step AI workflow for spotting mispriced crypto and stock assets

A PANews market analysis piece lays out a four-step framework for using AI to identify quality assets that may have been sold off too aggressively. The approach starts with building a watchlist investors already understand, rather than asking AI for whatever looks attractive on a given day. For crypto, the checklist includes real demand, product-market fit, whether revenue relies on subsidies, whether teams depend on token sales, whether token holders actually benefit, and what catalysts may lie ahead. For U.S. stocks, the focus shifts to competitiveness, cash flow, debt, valuation, and whether growth expectations are already priced in. The article then moves to AI-based monitoring. It suggests using sentiment gauges such as CNN Fear & Greed for equities and the Alternative.me or CMC fear-and-greed indexes for crypto, alongside price declines, trading volume, and fund-flow data. Panic alone is not enough, the piece argues. Investors still need to test whether the selloff is market-wide or asset-specific, whether the trigger is confirmed or speculative, and whether current stress looks ordinary or unusual in historical context. The final two steps are deeper evaluation—upside, downside, time, and volatility—and turning the process into a recurring task with scheduled scans and reports. The author’s conclusion is restrained: AI helps lower the cost of monitoring and research, but it does not replace discipline, historical testing, or risk control.

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A four-step AI workflow for spotting mispriced crypto and stock assets
BIT
2026-09-10 08:03:13

BIT Releases Trust Whitepaper V2.0 Detailing Security, Compliance and Verification Framework

BIT, formerly Matrixport, has released version 2.0 of its Trust Whitepaper as security incidents and thefts once again push platform safety to the front of the digital asset market. The document sets out how the company frames risk governance across account security, private key management, asset transfers and third-party infrastructure, while arguing that the real test is not whether a platform claims to be secure, but whether it can detect and contain abnormal activity early. The whitepaper says BIT’s controls span pre-trade assessment, in-trade monitoring and post-trade handling. In operational terms, that includes due diligence, risk parameter setting, real-time monitoring, alerts, default handling and liquidation in areas such as financing and collateralized business. BIT also says it runs 24-hour monitoring for high-risk behavior including unusual logins, unfamiliar devices and suspicious withdrawals, with alerts, delayed processing or manual review triggered by risk level. The document also expands beyond crypto-native activity. For its U.S. equities business, BIT says operations are run by Matrix Gelephu Pte Ltd under the supervision of the Gelephu Financial Services Office, with account, clearing and custody arrangements supported by applicable licensing structures, client asset protection mechanisms and licensed third-party financial institutions. The whitepaper adds governance information for Matrixport Asset Management and outlines the group’s compliance footprint across Hong Kong, Bhutan, Singapore, Switzerland, the UK, the US and the British Virgin Islands. BIT says trust must be backed not only by internal controls, but by transparency and independent verification, including ISO audits, SOC attestation, annual financial audits and internal audit processes.

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BIT Releases Trust Whitepaper V2.0 Detailing Security, Compliance and Verification Framework
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