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Powerful tools.Built for better portfolio decisions.

SIPS brings strategy analysis, portfolio construction, robustness testing, trade-distribution intelligence and decision reporting into one structured workflow.

Strategy analysisPortfolio constructionRobustness testing
StrategyIntelligencePortfolioConstructionPortfolioComparisonRobustness &Monte CarloTradeDistributionLive Performance &Decision SupportSIPSALGOSTRATEGY INTELLIGENCEPORTFOLIO SUITE

Why SIPS exists

Finding a strong backtest
is the easy part.

Strategy research is good at producing individually strong backtests — that part of the process is well served already. SIPS exists to answer the question that research alone cannot: what happens when several of those strategies have to work together, in the same account, at the same time?

SIPS is built as a structured, evidence-based portfolio decision process — not a collection of separate tools bolted together. Each stage produces evidence the next stage builds on, from first import through to a documented final selection.

“What happens when these strategies have to work together as a portfolio?”

Where SIPS sits

Between strategy research
and portfolio deployment.

A trader can have many individually strong strategies. The real challenge isn’t finding another one — it’s deciding which of the strategies already in the library should work together, and why.

Which strategies genuinely diversify each other?

Not which look different on paper — which actually behave differently when combined.

Which behave too similarly?

Strategies can move together even when their rules, names or markets look unrelated.

Where is activity or risk concentrated?

A handful of strategies, instruments or sessions can carry most of a portfolio’s exposure.

How robust is the combined portfolio?

Not just the average strategy in it — the portfolio as a single evolving position.

Which portfolio is stronger, when several look good?

Surface-level metrics rarely settle this on their own.

What evidence supports the final decision?

A decision worth deploying is one you can also explain afterwards.

Portfolio context

A strong strategy does not
automatically create a strong portfolio.

Strategies can share similar market behaviour, instruments, trading sessions, drawdown timing or exposure — even when each one looks strong on its own. Judged separately, they can all pass. Combined, they can quietly amplify the same risk instead of diversifying it.

SIPS evaluates strategies in portfolio context, not in isolation.

The SIPS intelligence layers

Five layers.
One structured decision process.

Each layer answers a different question, and each one builds on the evidence the layer before it produced.

01

Strategy Intelligence

Quality, consistency, behaviour and strategy performance.

QualityConsistencyPerformance

02

Portfolio Intelligence

Correlation, diversification, interaction and portfolio fit.

CorrelationDiversificationFit

03

Robustness Intelligence

Monte Carlo, scenario ranges, sequence risk and drawdown behaviour.

Monte CarloSequence riskDrawdown

04

Trade Distribution Intelligence

Contribution, frequency and concentration across strategies, instruments and time.

ContributionFrequencyConcentration

05

Decision Intelligence

Portfolio comparison, portfolio sets, reports and structured selection.

ComparisonPortfolio setsReports

The SIPS workflow

Eight stages.
One structured path.

Each stage narrows the field with evidence rather than preference, from first import through to ongoing review.

  1. 01

    Import & Organise

    Bring strategy and trade data into one structured environment with consistent metadata.

  2. 02

    Analyse Strategies

    Read each strategy against the same structured quality, consistency and behaviour metrics.

  3. 03

    Build Candidates

    Assemble portfolio candidates from the library under controlled construction rules.

  4. 04

    Compare Portfolios

    Place candidates side by side across the same consistent set of metrics.

  1. 05

    Test Robustness

    Explore simulated outcome ranges and drawdown behaviour beyond one backtest.

  2. 06

    Analyse Distribution

    See where trades, activity and concentration actually come from.

  3. 07

    Select Portfolio

    Choose a portfolio, or a set of portfolios, backed by structured evidence.

  4. 08

    Monitor & Review

    Track how a deployed portfolio performs against its expected behaviour.

01 · Strategy Intelligence

Understand each strategy
before it enters a portfolio.

Every strategy in the library is read against the same structured set of quality, consistency, behaviour and performance measures — so strategies are judged on the same terms, not on whichever number looks best.

Quality & consistency. Track record depth, stability and trade frequency reviewed together.

Behaviour profile. Descriptive reporting on how a strategy tends to trade, for monitoring rather than selection.

Performance context. Return, drawdown and trade-level detail sit alongside each other, not in isolation.

sips · strategy intelligenceIllustrative data

Composite read

Per strategy

81/100

Consistency84
Stability73
Behaviour fit69

Live trades

324

Track record

18mo

Tier

Qualified

02 · Portfolio Builder

Assemble candidates under
controlled rules.

Portfolio Builder constructs diversified portfolio candidates from your strategy library using controlled construction rules and portfolio-aware analysis, rather than manual guesswork.

Construction rules. Limits on strategy count, per-asset exposure and direction mix keep candidates within bounds you set.

Portfolio-aware analysis. Each addition is read against what is already in the candidate, not in isolation.

Draft & iterate. Build several candidates and carry the strongest forward for comparison.

sips · portfolio builderIllustrative data

Candidate composition

Long strategies62%

Short strategies38%

FX pairs55%

Metals & indices45%

Strategies

14

Max per asset

25%

Rule set

Controlled

03 · Portfolio Comparison

Compare candidates on
the same terms.

Portfolio Comparison places portfolio candidates side by side and compares them consistently across the same set of metrics, so a difference in the numbers reflects a real difference in the portfolios.

Consistent measures. Every candidate is read against the same metric set, in the same order.

No forced winner. SIPS presents the comparison; the decision about which candidate to carry forward stays with you.

Descriptive, not prescriptive. Differences are surfaced clearly rather than reduced to a single verdict.

sips · portfolio comparisonIllustrative data

Candidates side by side

CandidateReturn/DDCorr. avgHealth
Candidate 123.40.1887
Candidate 082.90.2481
Candidate 032.60.3176

Candidates

3

Common metrics

12

Winner declared

No

04 · Portfolio Sets

Decide across a set,
not one portfolio alone.

Portfolio Sets organises and compares groups of portfolios together, so a decision reflects a set of reasonable candidates rather than whichever single portfolio was reviewed first.

Grouped review. Compare recommended sets against each other, not portfolios in isolation.

Custom sets stay labelled. A user-defined set is never treated as an evaluated recommendation until it is re-analysed.

One place to decide. Every set carries the same composition and status detail, ready for a side-by-side read.

sips · portfolio setsIllustrative data

Recommended sets

Illustrative

Set 01

87

6 portfolios

Set 02

81

5 portfolios

Set 03

78

6 portfolios

Set 04

76

4 portfolios

Set 05

74

5 portfolios

Custom

—

User-defined

Sets available

5

Custom sets

Supported

Status

Ready for review

05 · Monte Carlo Robustness

Explore the range.
Not just the backtest.

A backtest is one path out of many that could have happened. Monte Carlo Robustness resamples and simulates to show the range of possible outcomes, how deep drawdowns tend to run, and how much of the result depends on sequence rather than edge.

Confidence bands. See where simulated outcomes cluster and where the tails sit.

Drawdown ranges. Plan around a distribution of outcomes rather than a single worst case.

Sequence risk. Understand how much of a result depends on the order trades happened to occur in.

sips · monte carloIllustrative data

Simulated outcome range

MedianSample paths

p90p10

Drawdown range

Shallow bandp10–p40

Central bandp40–p70

Deep bandp70–p90

06 · Trade Distribution

See where the portfolio
actually trades.

Headline metrics hide where trading activity comes from. A portfolio can look diversified on paper while a small number of strategies produce most of its trades, or while exposure clusters into a single session. Trade Distribution exposes that shape across strategies, instruments and time.

Contribution. Which strategies drive the portfolio’s trade count and exposure.

Timing. How activity spreads across sessions, days and market conditions.

Concentration. Flags where a portfolio depends more narrowly than its headline metrics suggest.

sips · trade distributionIllustrative data

Strategy contribution

Share of trades

Strategy 04122%

Strategy 11817%

Strategy 07313%

Remaining 1148%

Activity by session

Instruments

7

Top-3 share

52%

Concentration

Moderate

07 · Portfolio Health & Decision Support

One readable indicator,
backed by its own detail.

Portfolio Health gives a structured read on a portfolio’s stability, diversity, correlation and depth — a composite figure you can trust because every component behind it stays visible. Decision Support turns that detail into a structured report built to record why a choice was made.

Composite health. One readable indicator, always backed by its component scores rather than replacing them.

Descriptive, not predictive. Portfolio Health reports the current state; it does not forecast future results.

Structured reports. Comparison output built to support a decision — and document it — not just to look presentable.

sips · portfolio healthIllustrative data

Health profile

Illustrative
StabilityDiversityCorr.DepthConsist.

Composite

83/100

State

Balanced

Behaviour groups

4

08 · Live Performance

Check the plan
against what actually happened.

Live Performance tracks how a deployed strategy is performing against its expected historical behaviour, so drift shows up early rather than after it has already changed the picture. This is a monitoring view, not an execution or copy-trading capability — connecting or deploying accounts is a separate, future part of the platform and is not part of this feature set.

Expected vs. actual. Compare live results against the behaviour a strategy showed historically.

Early drift detection. See a strategy diverging from its expected profile before it becomes a bigger question.

Monitoring, not execution. Live Performance reports on deployed strategies; it does not place, copy or manage trades.

sips · live performanceIllustrative data

Live vs. expected

LiveExpected

Deployed strategies

6

Tracking variance

Low

Last synced

Illustrative

Get started

Build portfolios
with more context.

Bring strategy analysis, robustness testing and portfolio intelligence into one structured workflow.

Software and risk notice. SIPSALGO provides software tools for strategy and portfolio analysis. Trading and investment decisions involve risk, and analytical tools cannot guarantee future performance. Nothing on this page is financial advice or a recommendation to trade.