Custom Investment Portfolio Management Software

• Automated aggregation of capital market data feeds from the connected systems (asset-specific market databases, financial news platforms, trading and exchange platforms, etc.).
• (For trading) Real-time market data sensing and instant alerts on market-moving events.
• Statistical capital market analytics, including fundamental and technical analysis.

Advanced:

• Automated retrieval and consolidation of capital market data (market stats, charts, ticks, indices, etc.) from public web sources using large language models (LLM).
• LLM-supported capture and summarization of investor sentiments (including implicit signals from news, blog posts, and social media).
• AI-powered capital market analytics and suggestions on the high-yield and low-risk asset classes to invest in.

• Customizable portfolio models with user-defined input parameters like investment goals, asset preferences, risk tolerances, and investment period.
• Scenario modeling and what-if analysis for single- and multi-asset investments.
• Monte Carlo simulations to measure the impact of uncertainty factors, e.g., inflation, economic sanctions, or regulatory changes.
• Automated calculation of model-specific portfolio and risk metrics.
• Quantifying the impact of particular variables on portfolio performance and identifying key yield drivers.
• Side-by-side comparison of various investment portfolio options.
• Model output auto-conversion to the mid- and long-term investment plans.

Advanced:

• Machine-learning-powered predictive analytics to forecast investment returns.
• Intelligent suggestions on the optimal baseline portfolio structures for each investor based on the analysis of the investor’s financial capacity, time-framed goals, and risk appetites.
• Producing synthetic investment data using generative AI to replace high-cost real transactional data for modeling needs, including ML model training.

• Creating custom investment portfolio structures with user-defined hierarchies and asset types: stocks, bonds, cash equivalents, real estate, derivatives, crypto, etc.
• Setting up financial goals, investment limits, and risk exposure thresholds.
• Automated aggregation of investment activity data from multiple accounts across several brokerages and recording them in an investment book of record (IBOR).
• Rule-based portfolio valuation taking into account the market value of each investment.
• Configurable dashboards with a real-time overview of portfolio transactions and balances (by asset class, period, brokerage account, etc.).
• Visualizing allocated funds and portfolio operations via customizable charts, graphs, tables, interactive maps, and more.

Advanced:

• AI-supported dynamic portfolio valuation based on the real-time market prices for portfolio assets.

• Rule-based investment order opening, confirmation, renewal, cancellation, and closing.
• Configuring buy and sell price, asset quantity, and order period limits.
• Support for market, limit, stop-loss, stop-limit, and other order types.
• Scheduled and ad hoc order routing to the relevant execution systems (e.g., third-party investment platforms, OTC marketplaces, internal systems of brokerage firms).
• Notifications on order status and execution details.
• Template-based creation of investment agreements for long-term investments (e.g., in real estate, commodities).
• Investment document and order e-signing using digital signatures.

Advanced:

• AI-powered market, investor position, and exposure analysis and suggestions on the optimal asset price, buy/sell quantity, and order timing.

• Real-time monitoring of technical indicators like moving averages, OBV, ADX, RSI, MACD, Bollinger Bands, etc.
• Dynamic tick charts reflecting real-time price swings (critical for scalping strategies).
• Automated recognition of technical patterns and trends.
• Direct multi-broker connectivity for instant order entry and exit.
• User-defined rules for algorithmic trading strategies.
• Automated trade execution based on preset strategies.

Advanced:

• AI-powered robo-advisors for natural language trader assistance and short-run ETF auto-allocation and optimization.
• Intelligent order routing to the optimal trading platform based on asset type, platform-specific asset price, trade commission, etc.

• Monitoring funds availability across investment accounts.
• Trend-based liquidity planning.
• Notifications about cash balances dropping below or exceeding set thresholds.
• Template-based generation of requests for funds transfers to the investment account.
• Automated request submission to wealth management customers (via email or an investor portal) and an investment firm’s bank (requires connectivity with bank accounts).
• Funds auto-replenishment via direct debit.
• Configurable rules for recurring funds withdrawals.
• Automated reconciliation of executed investment transactions against cash balances.
• A full history of cash deposits, withdrawals, and transfers.

• Tracking investment risk indicators like standard deviation, MDD, Sharpe ratio, R-squared, VaR/CVaR, risk-adjusted return, and FX rate exposures for multi-currency investments.
• Relative and absolute portfolio risk attribution analysis.
• Continuous monitoring of investor positions and market trends (asset-specific trade volumes, bid-ask spreads, price volatility, investor sentiment, etc.) to detect emerging risks.
• Simulating and comparing risk hedging strategies (e.g., price limit adjustments, portfolio diversification, employing derivatives like swaps and options).
• Managing and monitoring hedging transactions.

Advanced:

• AI-supported risk analytics and suggestions on pragmatic hedging strategies.

• Automatically calculating taxes for assets held in taxable, tax-deferred, and tax-exempt accounts.
• (For multi-entity investment companies) Calculating incurred tax liabilities under various tax jurisdictions.
• Generating investment income reports for tax payment and reconciliation.
• Scheduled tax payments.
• Tracking paid and due taxes.
• What-if analysis to measure the potential impacts of various investments on income tax amounts, taking into account investment transaction dates, asset cost basis, and sale prices.

Advanced:

• AI-powered recommendations on the most tax-efficient mutual funds and ETFs to invest in, the optimal ways to allocate investments across tax accounts, the best timing for funds withdrawal from taxable accounts to minimize tax burden, and more.
• Intelligent tax-loss harvesting, i.e., suggestions on underperforming investments to sell for reduced tax liability.

• Calculating portfolio performance metrics, such as:
  • Total portfolio value.
  • Absolute, annualized, time-weighted, and money-weighted portfolio returns.
  • Interest income and dividend yield from fixed-income investments.
  • Peak-to-trough declines (portfolio volatility).
  • Alpha and beta (market-risk-anchored portfolio performance).
• Portfolio performance benchmarking against asset-specific indices.
• Analyzing the contribution of different investments, asset classes, and regions to the overall portfolio performance.
• Rule-based portfolio item segmentation according to their financial impact, identifying return and loss drivers.
• Trend-based portfolio performance prediction.

Advanced:

• ML-powered forecasting of portfolio KPIs and investment behavior.

• Automated asset correlation analysis to guide portfolio diversification.
• Alerts on asset price spikes, investment performance deviations, allocations and exposures reaching preset levels.
• Automated portfolio rebalancing based on user-defined rules, e.g., when returns for a particular investment decline during a certain period or when an asset class exceeds a certain share of the portfolio.

Advanced:

• AI-powered suggestions on emerging investment opportunities for portfolio diversification:
  • Alternative asset classes (fractionalized property, crypto, renewable energy, etc.).
  • Promising startups (technology, manufacturing, servicing).
  • Rising markets (e.g., LATAM, MENA, and OPAC countries).
• Dynamic asset reallocation triggered by market momentum and anticipated exposures.

• Monitoring investment operations compliance with AML/CFT, OFAC, SEC, FINRA, FATCA, GLBA, FRS, CFTC, SAMA rules, and more.
• Rule-based detection of non-compliant activities.
• Notifications to the responsible specialists about compliance breaches.
• Automated generation of regulatory reports in compliant formats, e.g., form ADV (for investment advisers), form PF (for private fund advisers), and form CRS (for broker-dealers).
• Customizable templates for portfolio performance summaries and reports for investors.
• Scheduled and ad hoc report submissions to internal teams, investors, and regulators.

Advanced:

• AI-powered real-time detection and reporting of suspicious data manipulations that might indicate fraud and non-compliance.

• Role-based permissions to view, edit, and share granular investment portfolio data.
• Multi-factor authentication, including certificate-based, location-based, and biometric authentication.
• Encryption of stored and transferred investment data.
• Full audit trail of user activities.
• Compliance with sectoral data protection standards like CCPA, NYDFS, SOC1 and SOC2, GDPR, and SAMA Cyber Security Framework.

Advanced:

• Intelligent user and entity behavior analytics (UEBA) for real-time threat detection.
• Investment data hashing, timestamping, and recording in an immutable blockchain ledger.