Quantitative research
Factor models, CAPM alpha/beta, momentum and reversal studies, and scenario analysis for single names and diversified baskets.
BSJ Infotech · Research
Research every investor before investment — find true value, not speculation. Build returns wisely.

BSJ Infotech
BSJ Infotech operates Orion Alpha as a local research model — not a product we ship as a terminal. Our team combines quantitative research, algorithm-driven analysis, and multi-asset diversification to help investors manage portfolios and pursue growth aligned with their expectations.
MissionHelp every investor grow assets wisely — through research, diversification, and disciplined risk management, not speculation.
BSJ Infotech brings together quantitative researchers, algorithm specialists, and portfolio analysts. We work on a local research model — studying markets, building factor and risk frameworks, and helping investors allocate across a diversified universe rather than chasing single-name speculation.
Our team holds depth across multi-asset research, algorithm design, risk reporting, and investor consultation — ready to discuss how your portfolio can grow in line with your expectations.
Factor models, CAPM alpha/beta, momentum and reversal studies, and scenario analysis for single names and diversified baskets.
Systematic scoring, multi-factor composites, and rule-based frameworks that support consistent, research-led decisions.
Allocation views across equities, crypto, commodities, FX, indices, and rates — reducing concentration risk through broader exposure.
Sharpe, drawdown, VaR, and Monte Carlo reporting to align portfolio outcomes with each investor's growth goals and risk comfort.
We believe growth should be intentional — matched to what each investor expects from their capital, not promised as speculation.
We do not rely on one market, one factor, or one narrative. Our research model is built to spread risk and seek growth across a broad, diversified universe.
Equities, crypto, commodities, FX, indices, and rates — so portfolios are not dependent on a single market or sector.
Blend value, momentum, quality, and risk signals instead of relying on one style that may fail in certain regimes.
Position and portfolio limits informed by drawdown, VaR, and scenario analysis before capital is committed.
Regular performance review against the investor's stated return and risk expectations — not generic benchmarks alone.
Orion Alpha is a research platform operated by BSJ Infotech. We help investors manage and grow assets through algorithm-wise analysis, diversification, and ongoing performance review — aligned with what each investor expects from their capital.
Every allocation starts with fundamentals, factors, and risk — before capital moves.
Spread exposure across equities, crypto, commodities, FX, indices, and rates — not one concentrated bet.
Growth strategies framed against each investor's goals, horizon, and risk tolerance.
Whether you want to discuss growth goals, diversification, research methods, or risk limits — our team responds directly. Share your expectations and we will explain how our research model can support your asset growth plan.
Discuss return expectations, time horizon, and how research can support your asset growth plan.
Email about investor growth goalsAsk how to spread exposure across asset classes, factors, and regions to reduce concentration risk.
Email about portfolio diversificationLearn about our factor models, systematic analysis, and how we apply them to real portfolios.
Email about research & algorithmsReview drawdown limits, VaR, scenario analysis, and whether outcomes match your comfort level.
Email about risk & expectationsWalk through the Orion Alpha research environment and see how our local model works in practice.
Email about demo consultationAny question about capabilities, partnership, or support — we respond directly.
Email about general inquiryEmail our team to discuss investor growth goals, diversification, research partnerships, or any question about how Orion Alpha supports asset management.