ForexPortfolio Lab

FX Portfolio Risk Lab

Build a basket of currency pairs and see both halves of the picture: the risk stats — volatility, VaR, drawdown, diversification — and the net currency exposure those pairs actually add up to.

0/4legs have enough ECB history for the risk model

Your legs

%
30%
%
25%
%
20%
%
25%
Raw weight total100%

Weights are normalised automatically. A short leg is modelled as the inverted cross, so an offsetting short genuinely lowers measured portfolio volatility rather than just flipping a sign.

Allocation

EUR/USD30%
GBP/USD25%
AUD/USD20%
USD/TRY25%

Net currency exposure

Biggest single bet: short USD 50%
USD
50%
EUR
+30%
GBP
+25%
TRY
25%
AUD
+20%
Long EUR, GBP, AUD · Short USD, TRYCurrency HHI 0.22 · ≈ 4.5 effective currencies
Annual Volatility
Portfolio σ, 252-day annualized
Max Drawdown
Worst peak-to-trough (window)
VaR 95% · 1d
Max daily loss, 95% conf.
VaR 99% · 1d
Max daily loss, 99% conf.

Diversification score

/100

Basket drawdown

The weighted basket rebased to 1.0, UNLEVERAGED. Retail FX is usually traded on leverage — at 10× the drawdown you would actually feel is roughly ten times this line.

Correlation (90 fixings)

Risk contribution

Net currency exposure decomposes every pair into +base and −quote, so four separate-looking trades resolve into the handful of currencies you are really long and short. The numbers net to zero because FX is always one currency against another. Volatility and VaR come from the covariance matrix of daily log-returns, annualized over 252 business days, computed on unleveraged notional — the ECB publishes one daily reference mid, so there is no carry, no swap and no spread in these figures. Estimates from free public data, not investment advice.

Source: Frankfurter (ECB daily reference rates) via our cached proxy. Free, no key. 0/4 legs in the risk model.

Flick Trader is a market-analysis and backtesting tool. It does not execute trades, hold funds or connect to your exchange, and nothing here is investment advice. Backtest and paper-trading results are hypothetical and do not predict future returns. Market data comes from free public sources and may be delayed, incomplete or wrong.

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