Torque Trading: Singapore's AI Trading Bot Scam
Torque Trading sold Singaporeans a future where software could outthink the market; in the end, the only thing reliably compounding was new deposits chasing old promises.
Quick Facts
- Period
- 2019 - 2021
- Region
- Asia
- Key Figures
- Bernard Ong, Crypto and fintech investors searching for yield, Singapore investors and retail participants +2 more
Key Figures
Bernard Ong
Perpetrator
Torque TradingBernard Ong sits at the center of the Torque Trading story as the public face most closely associated with the platform’...
Crypto and fintech investors searching for yield
Victim
Market participantsA broader class of victims in the Torque Trading case were crypto and fintech investors searching for yield: people who ...
Singapore investors and retail participants
Victim
Torque Trading customersThe victims of Torque Trading are less visible as named individuals in the public record than in some larger securities ...
Singapore regulators and investigators
Investigator
Financial regulatory and law-enforcement authoritiesRegulators and investigators in a case like Torque Trading operate under a difficult constraint: by the time a scheme be...
Whistleblowers and skeptical observers
Whistleblower
Unspecified internal or external observersThe public record on Torque Trading does not provide a single, fully documented whistleblower whose testimony anchors th...
The Story
This narrative combines documented history with dramatized scenes for storytelling purposes.
Origins & The Setup
The story begins in Singapore, where the language of innovation carries unusual force. By 2019, the city-state had become a laboratory for wealth-tech, a place ...
The Pitch & The Pull
The performance did not sell itself; people sold it. Torque Trading’s recruitment engine relied on trust transferred through social ties, the oldest mechanism i...
The Mechanics of the Lie
Once the platform crossed from pitch into operation, the problem was no longer selling confidence; it was manufacturing continuity. According to the thesis supp...
The Unraveling
The collapse, when it came, did not arrive as a single explosion. It came as pressure. Redemption requests accumulated, confidence thinned, and the platform’s a...
Aftermath & Legacy
Once the scheme was publicly named, the legal story began, but the human story did not end. In fraud cases like Torque Trading, the aftermath is shaped by what ...
Timeline
Torque Trading is organized around an AI-crypto pitch
**2019-01** — Torque Trading begins presenting itself as a Singapore-based AI trading platform for digital assets. The foundation of the business is a promise that software can generate steady returns from volatile crypto markets.
First deposits enter the system
**2019-03** — Early investors place funds with the platform after seeing the claimed performance and hearing the sales pitch through personal and social networks. Those first deposits create the cash flow that allows the operation to keep functioning.
Referral-driven recruitment expands the base
**2019-08** — Promoters and satisfied early participants spread the word, giving the scheme social proof that is more persuasive than advertising. The business grows through trust networks rather than institutional distribution.
Withdrawal payments are increasingly supported by incoming deposits
**2020-01** — As the platform scales, the cash required to satisfy investors depends less on trading performance than on new money arriving. The claimed AI activity and the actual account flows begin to diverge more sharply.
Questions emerge about the trading claims
**2020-09** — Skeptical investors and outside observers begin to press for evidence that the bot is actually producing the advertised returns. The pressure increases because the platform must explain its results without disclosing the full internal mechanics.
Scrutiny turns toward the platform’s records
**2021-02** — The operation faces a growing need to reconcile its marketing claims with its account histories and withdrawal behavior. According to later reporting, the purported AI trading model does not withstand closer examination.
Authorities and media take notice
**2021-05** — The platform comes under regulatory and journalistic scrutiny as doubts harden into a formal problem. At this stage, the central issue is whether the company’s returns were funded by actual trading or by new investor money.
The scheme begins to collapse under redemption pressure
**2021-06** — Investors seeking withdrawals run into delays and evasive explanations. The cash-flow structure can no longer support the promises that were made during the growth phase.
Principals face investigation
**2021-07** — As the platform unravels, investigators begin examining whether Torque Trading operated as a deposit-fueled fraud. The public record indicates the focus turns to the truthfulness of the AI trading claims and the source of customer payouts.
The case is publicly named
**2021-08** — Reporting and enforcement activity make the allegations impossible to contain as a private dispute. The platform is now treated as a suspected scam rather than a failed investment opportunity.
Legal proceedings move forward
**2021-10** — Authorities and affected investors pursue the matter through formal channels, seeking to establish who controlled the money and how the returns were generated. The case enters the longer phase of litigation and evidence collection.
Aftermath enters the restitution phase
**2022-03** — Attention shifts from exposure to recovery, with victims trying to determine what, if anything, can be recovered from frozen or traceable assets. The case becomes part of Singapore’s broader warning about crypto fraud and AI-washed marketing.
Sources
- regulatory_advisorySingapore Police Force / Monetary Authority of Singapore public advisories on cryptocurrency scams
Useful context for Singapore scam patterns and investor warnings; verify current advisory pages.
- regulatory_advisoryMonetary Authority of Singapore, investor alerts and public statements on digital token risks
Context on the regulatory environment for crypto promotions in Singapore.
- regulatory_guidanceU.S. SEC, Investor Bulletin on Ponzi Schemes
General framework for understanding deposit-fueled fraud mechanics.
- government_press_releaseDOJ, Press release archive on cryptocurrency fraud and Ponzi cases
Background on enforcement approaches to crypto fraud.
- journalismThe Wall Street Journal reporting on crypto Ponzi schemes and Singapore-based frauds
Use for corroborating market context; specific Torque Trading coverage should be verified before citation.
- journalismBloomberg reporting on AI-trading and crypto yield scams in Asia
Contextual reporting on the promotional use of AI language.
- journalismFinancial Times coverage of crypto fraud and retail investor losses in Asia
Helpful for regional context and investor psychology.
- journalismProPublica / reporting archives on Ponzi and affinity fraud
Useful comparative framework for recruitment dynamics.
- court_documentCourt filings and enforcement records relating to Torque Trading in Singapore
Primary source category; specific docket and filing numbers should be inserted from verified records before publication.
- journalismInvestors Beware and scam-warning articles from Singapore business press
Secondary reporting may help document the public naming of the case.
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