markets.fyi launches platform centred on AI-driven personalised investment advice, account importing, trade sharing, and copytrading of successful prediction-markets bettors
— markets.fyi today announced the public launch of its Social Trading and AI-Powered Analytics Platform, purpose-built for retail traders seeking institutional-quality personalised investment advice without institutional barriers. The platform combines AI analytics, brokerage-account importing, transparent trade sharing, and copytrading of verified high-performing prediction-markets bettors in a single environment. Users receive continuously updated portfolio guidance while learning from and optionally mirroring proven forecasters.
Retail investors have long lacked the depth of analysis and personalisation available to professional desks. markets.fyi addresses this gap by allowing users to import existing brokerage accounts, receive AI-generated advice tailored to their goals and constraints, share selected trades with a verified community, and copy the strategies of successful prediction-markets bettors whose forecasting track records have been independently verified and stress-tested.
“Personalised investment advice should not require a six-figure minimum or a private-bank relationship,” said Alex Rivera, CEO of markets.fyi. “Our platform starts with the user’s actual holdings and objectives, applies continuous AI analytics to generate actionable recommendations, and surrounds that advice with a transparent social layer. Traders can import their accounts, understand exactly where their portfolio stands relative to their goals, identify hidden risks or inefficiencies, and optionally copy the approaches of prediction-markets specialists who have demonstrated superior forecasting skill under real financial incentives.”
AI Analytics for Personalised Investment Advice
Upon account creation or brokerage import, the system ingests positions, cash balances, tax-lot data, financial goals, risk tolerance, time horizon, liquidity needs, and constraints such as ESG preferences or sector exclusions. Machine-learning models construct a baseline optimised portfolio and continuously refresh recommendations as markets, correlations, and data evolve.
Models evaluate expected returns, volatility, correlations, factor exposures, regime probabilities, and liquidity across equities, indices, commodities, and related instruments. Early testing on major U.S. equity benchmarks, including the S&P 500 and Dow Jones Industrial Average, showed higher risk-adjusted returns, more stable drawdowns, and greater consistency across regimes than traditional static mean-variance or risk-parity approaches. Recommendations include attribution so users can understand their drivers.
Risk management is embedded in the advice loop. The AI monitors concentration, factor drifts, portfolio metrics, and tail risks, surfacing defensive or opportunistic adjustments when thresholds are approached. During periods of inflation or high uncertainty, for example, it may recommend increasing defensive exposure such as crude oil prices while reducing higher-beta positions, subject to the user’s risk budget, liquidity needs, and approval. Tax-aware advice includes tax-loss harvesting, asset-location optimisation, and direct-indexing-style customisation.
Importing Trading Accounts
Users can securely connect supported brokerage accounts to pull holdings, historical transactions, and cost-basis data. Within minutes, the AI delivers a portfolio diagnostic covering allocation versus target, concentration risk, factor tilts, estimated unrealised tax liability, liquidity, and projected outcomes under scenarios such as inflation shocks, equity drawdowns, and interest-rate changes.
Advice is grounded in the user’s actual portfolio. Imported accounts remain under the user’s control, and the platform executes no trades automatically unless the user explicitly enables auto-rebalancing or copytrading and defines risk parameters such as maximum position size or drawdown.
Trade Sharing and Copytrading
The social layer focuses on transparency, verifiable performance, and knowledge transfer. Users can share individual trades or complete strategies, including entry rationale, position sizing, risk parameters, and outcomes, organised by market regime, asset class, time horizon, and strategy type.
A distinctive capability is copytrading of successful prediction-markets bettors. markets.fyi uses a multi-factor verification framework to identify bettors whose historical accuracy, calibration, and risk-adjusted performance meet publicly disclosed thresholds. Users can review track records, examine past reasoning, assess consistency, and optionally copy live or selected historical strategies. Position sizing and maximum-drawdown limits remain adjustable to each user’s risk budget.
The AI stress-tests proposed mirrored allocations against existing holdings, flagging concentration risk, unwanted correlations, liquidity mismatches, and tax implications before capital is committed. This gives newer traders exposure to structured decision frameworks while allowing experienced traders to benchmark their processes and identify blind spots.
Behavioural Support, Accessibility, and Governance
Behavioural safeguards support disciplined decision-making. During sharp declines or volatility spikes, the platform surfaces the user’s long-term plan, current risk metrics, and relevant historical context. During periods of elevated optimism, it highlights valuation, positioning, and concentration data. Final authority remains with the trader.
The platform has zero account minimums and a transparent fee structure. Beginners receive guided workflows, while advanced users can access granular analytics, scenario modelling, custom factor analysis, and exportable reports. Advisors and wealth managers can also integrate the technology into their client workflows.
Governance and transparency are built into the platform. Model recommendations are logged and presented with readable explanations. Social performance claims and prediction-market track records undergo independent verification before being surfaced for copytrading. markets.fyi has committed to regular third-party reviews of its AI systems and social-trading integrity framework, with summary findings made available to users.
“Effective personalised investment advice requires three elements working together in real time: accurate knowledge of the user’s actual situation, continuous high-quality analytics that adapt to changing conditions, and exposure to proven decision-making processes from people who have demonstrated skill under genuine incentives,” said Jordan Lee, Head of Product at markets.fyi. “By enabling seamless account importing, delivering continuously updated AI-driven recommendations, supporting transparent trade sharing, and offering carefully verified copytrading of successful prediction-markets bettors, we give retail traders a practical and scalable path to better-informed, more disciplined, and more personalised portfolio management.”
The platform is available immediately. Traders can create an account, import brokerage holdings, receive personalised recommendations, explore verified strategies, and share or copy trades according to their preferences and risk limits. Educational materials covering portfolio construction, risk management, probabilistic forecasting, and tax-aware investing are provided at no additional cost.
About markets.fyi
markets.fyi is a financial technology company focused on democratising sophisticated market data, AI-driven analytics, and collaborative trading tools for retail traders and independent investors. Its platform enables secure account importing, personalised investment advice, transparent trade sharing, and copytrading of verified high performers across equities, indices, commodities, and related markets.
Contact Info:
Name: Richard Demeny
Email: Send Email
Organization: Markets.FYI
Address: Decatur, United States
Phone: +447810650432
Website: https://markets.fyi
Release ID: 89202873
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