ClearLedger supports fully configurable time horizons. Whether you prefer short‑cycle analysis (1‑year) or long‑cycle evaluation (3‑year, 5‑year), the optimization engine recalculates expected return, volatility, Sharpe ratio, alpha, beta, correlation, and signal strength using the exact window you select. The examples below use 5‑year horizons for DJIA and TSX portfolios, while ARK Innovation demonstrates a shorter 1‑year horizon appropriate for high‑volatility assets.

DOW USD – Before/After Results

ClearLedger analyzes the investments you already own and produces a deterministic, risk‑aware optimization that improves diversification, stabilizes weights, and enhances risk‑adjusted efficiency. Below is an example using a real USD‑denominated DOW portfolio evaluated over a 5‑year horizon.

Model: DOW USD (5‑Year Horizon)

ClearLedger’s optimization engine evaluates expected return, volatility, Sharpe ratio, alpha, beta, correlation, and signal strength — all applied directly to your real holdings.

• Risk‑Adjusted Return comparison (Target vs Current vs Benchmark)
• Buy/Hold/Sell signals based on asymmetric scoring + ML conviction
• Position‑level diagnostics: ExpR, Risk, Sharpe, Alpha, Beta, Correlation
• Deterministic before/after deltas for every security

This example highlights how ClearLedger reduces concentration in mega‑cap industrials, balances cyclical exposure, and improves overall portfolio efficiency.

DOW CAD – Before/After Results

This example shows the same DOW portfolio reported in CAD using a 5‑year horizon. ClearLedger computes expected returns and risk metrics in each instrument’s native currency, then applies FX conversion only at reporting time. Return percentages remain identical; monetary values (MV, BV, PnL, weights) are converted into CAD for consistent cross‑border reporting.

Model: DOW CAD (5‑Year Horizon)

ClearLedger’s optimization engine evaluates expected return, volatility, Sharpe ratio, alpha, beta, correlation, and signal strength — all computed in native currency and converted at reporting for CAD‑based investors.

• Native‑currency ExpR, Risk, Sharpe, Alpha, Beta, Correlation
• FX‑converted MV, BV, PnL, and weight contributions
• Buy/Hold/Sell signals based on asymmetric scoring + ML conviction
• Deterministic before/after deltas for every security

This example demonstrates how ClearLedger preserves the integrity of native‑currency analytics while delivering clean, FX‑adjusted reporting for CAD investors.

ARK Innovation – Before/After Results

ARK portfolios are characterized by high volatility, extreme weight imbalances, and rapid factor drift. ClearLedger applies deterministic optimization to stabilize exposure, reduce concentration, and improve risk‑adjusted efficiency. This example uses a shorter 1‑year horizon appropriate for high‑volatility innovation holdings.

Model: ARK Innovation (1‑Year Horizon)

ClearLedger’s optimization engine evaluates expected return, volatility, Sharpe ratio, alpha, beta, correlation, and signal strength — all applied directly to your real holdings.

• Risk‑Adjusted Return comparison (Target vs Current vs Benchmark)
• Buy/Hold/Sell signals based on asymmetric scoring + ML conviction
• Position‑level diagnostics: ExpR, Risk, Sharpe, Alpha, Beta, Correlation
• Deterministic before/after deltas for every security

This example shows how ClearLedger stabilizes high‑volatility innovation holdings, reduces extreme concentration, and strengthens long‑term efficiency.

TSX Portfolio Optimization – Before/After Results

TSX portfolios often exhibit heavy concentration in financials and energy. ClearLedger’s deterministic optimization improves diversification, reduces sector imbalance, and enhances risk‑adjusted efficiency across Canadian equities. This example uses a 5‑year horizon to highlight long‑cycle diversification improvements.

Model: TSX60 (5‑Year Horizon)

ClearLedger’s optimization engine evaluates expected return, volatility, Sharpe ratio, alpha, beta, correlation, and signal strength — all applied directly to your real holdings.

• Risk‑Adjusted Return comparison (Target vs Current vs Benchmark)
• Buy/Hold/Sell signals based on asymmetric scoring + ML conviction
• Position‑level diagnostics: ExpR, Risk, Sharpe, Alpha, Beta, Correlation
• Deterministic before/after deltas for every security

This example demonstrates how ClearLedger reduces concentration in financials and energy while improving diversification and long‑term portfolio stability.