Allocation is how a strategy divides its capital among the things it holds, and the allocation method is the rule that sets each share: it turns a list of candidates into weights, one percentage per item, which the backtest buys. Fincanva applies it at two levels: a Combined across its strategies, and each strategy across its instruments.
Also seen as: weighting, position sizing, capital split
How does Fincanva handle it?
- Equal weights is the starting method at both levels, so a new strategy or Combined splits capital evenly until you change it. How to pick another is Choose an allocation method.
- The In-sample calculation window defaults to 12 months, and Leverage to 1.00 — no leverage.
- Each level holds an allocation profile per risk regime: Risk-On, used while no risk condition is firing, and Risk-Off, used while one is, each with its own method. A strategy with no active risk condition has only the one profile, and the Allocation card's header says Risk-On only; with a risk condition active it says Risk-Off set up.
- With a single instrument there is nothing to divide: "With one instrument and no Risk-Off split, 100% of capital goes to that instrument."
Why does allocation happen at two levels?
Because a Combined and a strategy allocate across different things. The Combined level decides how much of the total capital each member strategy receives; the strategy level then splits that slice across its instruments, which come from its universe — a hand-picked basket, or what a screener returns from its seed universe. Fincanva applies both layers in order and never flattens them into one list of instrument weights. A standalone strategy uses only the strategy level.
What does it look like in practice?
A strategy holds A, B, C and D. Under Equal weights each gets 25%. Switch it to Fixed weights and enter 40, 30, 20, 10: now A gets four times what D gets — same instruments, dates and rebalance cadence, a different split and different results.
Put that strategy in a Combined with two others, on Equal weights: each strategy gets one third of the capital, and inside its third ours still splits 40 / 30 / 20 / 10. A ends up with 40% of one third — about 13.3% of the Combined's capital. That is the two levels, applied in order.
Which allocation methods can I choose?
These work at both levels — inside a strategy and when a Combined splits capital across its member strategies: Equal weights, Fixed weights, Inverse volatility, Ranking-based, Risk parity, MPT (Markowitz), Black-Litterman, Max diversification, Min MAD, Min CVaR and Scenario CVaR, CDaR · Conditional drawdown at risk, EVaR · Entropic value at risk, Robust worst case and Stochastic programming.
These work only inside a strategy, across its instruments: Market cap, Min correlation, Beta neutral, Mimicking, Floating, HRP · Hierarchical risk parity, HERC · Hierarchical equal risk contribution and NCO · Nested clustered optimization.
Each method's page states the plan that includes it, compared across plans in what each plan includes. Which methods read history is set out in Calculation window; how a Combined's split differs from a strategy's, in Combined weighting.
How does the method picker help you find a method?
The picker ("Choose allocation method") lists every method; its Filter by goal chips start on All, and each other chip keeps the methods serving that goal — a method serving two appears under both. A Combined's picker shows only its methods and their goals.
What does the Simple rules goal mean?
Simple rules: "Weights set by a rule you can read at a glance." Equal weights, Market cap, Ranking-based, Fixed weights and Floating.
What does the Balance risk goal mean?
Balance risk: "No instrument or group dominates the portfolio's risk." Risk parity, Inverse volatility, HRP and HERC.
What does the Diversify goal mean?
Diversify: "Makes use of how differently the instruments move." Min correlation, Max diversification, HRP, HERC and NCO.
What does the Limit losses goal mean?
Limit losses: "Looks at the worst days and periods, not at the average." Min CVaR, CDaR, EVaR, Scenario CVaR, Robust worst case and Stochastic programming.
What does the Optimize goal mean?
Optimize: "Looks for the best mix for a risk and return objective." MPT (Markowitz), Black-Litterman, NCO, Min MAD and Stochastic programming.
What does the Follow a reference goal mean?
Follow a reference: "Tracks or neutralises an index or an instrument." Market cap, which weights the way most broad indices do, and Mimicking and Beta neutral, which work against a reference instrument you choose. None is available to a Combined, so its picker does not show this goal.
What do all allocation methods have in common?
Every method, at either level, shares the same vocabulary.
- Weights. One weight per item, as a share of the capital being allocated. Weights are relative: raw numbers that do not add up to 100 are standardized so the capital is fully used. A negative weight is a short position, which only some methods produce — see Direction.
- Rebalance interaction. The method recomputes its weights at each rebalance and the strategy trades back to them; in between they drift with prices. Floating is the deliberate exception.
- Calculation window. Methods that read history read it over the window the app calls In-sample: "Historical window used by the active method for volatility, correlation, beta, and similar calculations. Default 12." Equal weights, Fixed weights, Market cap and Floating do not use it — see Calculation window.
- Covariance matrix. Methods built on volatilities and correlations — Risk parity, MPT, Max diversification, and inside a strategy HRP, HERC and NCO — carry a Covariance matrix choice — see covariance matrix.
Apart from the method, each level has one dial for how much capital works: Leverage inside a strategy, the invested portion at the Combined level.
Used in 44 pages
- What each plan includes · Account & security
- The Fincanva loop · Getting started
- Choose an allocation method · Strategies
- All at once
- Average momentum
- Beta neutral
- Black-Litterman
- Calculation window
- Combined level
- Combined weighting
- Compute time
- Conditional drawdown at risk
- Covariance matrix
- Direction: Long-only, Long/short, Short-only
- Entropic value at risk
- Equal weights
- Fixed weights
- Floating
- Hierarchical equal risk contribution
- Hierarchical risk parity
- Inverse volatility
- Market cap
- Max positions
- Max diversification
- Mimicking
- Min correlation
- Min CVaR
- Min MAD
- MPT (Markowitz)
- Nested clustered optimization
- Ranking-based
- Rebalance
- Reinvest delay
- Risk condition
- Risk measure selection
- Risk-Off canonicalization
- Risk-On and Risk-Off
- Risk parity
- Robust worst case
- Seed universe
- Single-asset simplification
- Stochastic programming
- Strategy alerts
- Weight drift