fix bug with synthetic securities (with ratio) gain/loss miscalculation in rollups

This commit is contained in:
Emil Lerch 2026-08-26 21:07:07 -07:00
parent 6ebd944f94
commit 6dea255377
Signed by: lobo
GPG key ID: A7B62D657EF764F8
5 changed files with 427 additions and 27 deletions

View file

@ -206,6 +206,15 @@ pub const Allocation = struct {
/// Weighted average cost per share across all lots (cost_basis / shares).
avg_cost: f64,
/// Latest price from API (or manual fallback), before price_ratio adjustment.
///
/// POSITION-level and RAW. Never feed this into a per-lot
/// calculation: `mergeAllocsBySymbol` folds every ratio variant of a
/// ticker into one row with base-ticker-normalized `shares`, so a
/// lot row multiplying its own raw shares by this price is off by
/// exactly the lot's ratio. Per-lot display sites go through
/// `views/portfolio_sections.zig:effectivePriceFor`. See the "Per-LOT
/// display rows" section of the pricing-model block in
/// `models/portfolio.zig`.
current_price: f64,
/// Total current value: shares * current_price * price_ratio.
/// May be reduced by adjustForCoveredCalls for ITM sold calls

View file

@ -415,13 +415,13 @@ pub fn display(
if (!has_drip) {
// No DRIP: show all individually
for (lots_for_sym.items) |lot| {
try printLotRow(as_of, out, color, lot, a.current_price, w);
try printLotRow(as_of, out, color, lot, views.effectivePriceFor(summary.allocations, lot), w);
}
} else {
// Show non-DRIP lots individually
for (lots_for_sym.items) |lot| {
if (!lot.drip) {
try printLotRow(as_of, out, color, lot, a.current_price, w);
try printLotRow(as_of, out, color, lot, views.effectivePriceFor(summary.allocations, lot), w);
}
}
@ -647,13 +647,21 @@ pub fn display(
try out.print("\n", .{});
}
pub fn printLotRow(as_of: zfin.Date, out: *std.Io.Writer, color: bool, lot: zfin.Lot, current_price: f64, w: views.PositionsWidths) !void {
/// Render one lot-detail row under its position row.
///
/// `effective_price` is the LOT's price, not its position's: pass
/// `views.effectivePriceFor(allocations, lot)`, which applies the lot's
/// `price_ratio` and resolves `close_price`. Passing an
/// `Allocation.current_price` straight through is the bug this
/// parameter name exists to prevent - that price is the raw base-ticker
/// price, so a ratio'd lot's Value and Gain/Loss come out scaled by its
/// ratio (a 0.2387 sleeve rendered +$3.39M against a real +$433K).
pub fn printLotRow(as_of: zfin.Date, out: *std.Io.Writer, color: bool, lot: zfin.Lot, effective_price: f64, w: views.PositionsWidths) !void {
const indicator = fmt.capitalGainsIndicator(as_of, lot.open_date);
const status_str: []const u8 = if (lot.isOpen(as_of)) "open" else "closed";
const acct_col: []const u8 = lot.account orelse "";
const use_price = lot.close_price orelse current_price;
const gl = lot.effectiveShares() * (use_price - lot.effectiveOpenPrice());
const gl = lot.effectiveShares() * (effective_price - lot.effectiveOpenPrice());
const lot_gl_abs = if (gl >= 0) gl else -gl;
const lot_sign: []const u8 = if (gl >= 0) "+" else "-";
@ -669,9 +677,16 @@ pub fn printLotRow(as_of: zfin.Date, out: *std.Io.Writer, color: bool, lot: zfin
try out.writeByte(' ');
try out.print("{f}", .{Money.from(lot.effectiveOpenPrice()).padRight(w.price_w)});
try out.writeByte(' ');
try views.writeCol(out, "", w.price_w, true); // blank current-price cell
// Current-price cell: normally blank (the position row above
// already shows it), but a ratio'd lot prices off its own
// institutional NAV, so show that.
if (views.hasOwnPrice(lot)) {
try out.print("{f}", .{Money.from(effective_price).padRight(w.price_w)});
} else {
try views.writeCol(out, "", w.price_w, true);
}
try out.writeByte(' ');
try out.print("{f}", .{Money.from(lot.effectiveShares() * use_price).padRight(w.value_w)});
try out.print("{f}", .{Money.from(lot.effectiveShares() * effective_price).padRight(w.value_w)});
try out.writeByte(' ');
try cli.reset(out, color);
// Colored gain/loss cell.
@ -1325,4 +1340,54 @@ test "printLotRow: renders effective (split-adjusted) shares, cost, and value" {
try std.testing.expect(std.mem.indexOf(u8, out, "1000.0") != null);
try std.testing.expect(std.mem.indexOf(u8, out, "$4.00") != null);
try std.testing.expect(std.mem.indexOf(u8, out, "120,000") != null);
// Ratio 1.0 -> the current-price cell stays blank, so $120.00
// appears nowhere. (Guards the `hasOwnPrice` gate: a bare
// "$120.00" would mean the cell got filled unconditionally.)
try std.testing.expect(std.mem.indexOf(u8, out, "$120.00") == null);
}
test "printLotRow: a ratio'd lot values off its effective price and shows it" {
// The bug this pins: the caller must pass the LOT's effective price
// (`views.effectivePriceFor`), not the position's raw base-ticker price.
// Here the sleeve holds 5075.077 shares of a $765.91 base ticker at
// a 0.2387 ratio. Valuing at the raw price gives $3.89M / +$3.39M;
// the truth is $927,824 / +$433,004.
var lots = [_]zfin.Lot{.{
.symbol = "AGG-LC",
.ticker = "BENCH",
.price_ratio = 0.2386960690140873,
.shares = 5075.077,
.open_date = zfin.Date.fromYmd(2026, 2, 26),
.open_price = 97.50,
.account = "Sample 401(k)",
}};
const allocs = [_]zfin.valuation.Allocation{.{
.symbol = "BENCH",
.display_symbol = "BENCH",
.shares = 1211.402,
.avg_cost = 408.47,
.current_price = 765.91, // RAW base-ticker price
.market_value = 927824.086,
.cost_basis = 494820.008,
.weight = 1.0,
.unrealized_gain_loss = 433004.078,
.unrealized_return = 0.875,
}};
const no_watch: []const []const u8 = &.{};
const widths = views.computeWidths(&allocs, &lots, 927824.086, 433004.078, no_watch, null);
var buf: [512]u8 = undefined;
var w = std.Io.Writer.fixed(&buf);
const eff_price = views.effectivePriceFor(&allocs, lots[0]);
try printLotRow(zfin.Date.fromYmd(2026, 8, 26), &w, false, lots[0], eff_price, widths);
const out = w.buffered();
try std.testing.expect(std.mem.indexOf(u8, out, "$927,824") != null);
try std.testing.expect(std.mem.indexOf(u8, out, "+$433,004") != null);
// The ratio'd effective price fills the normally-blank Price cell.
try std.testing.expect(std.mem.indexOf(u8, out, "$182.82") != null);
// And the ratio-skipped figures appear nowhere.
try std.testing.expect(std.mem.indexOf(u8, out, "3,887,052") == null);
try std.testing.expect(std.mem.indexOf(u8, out, "3,392,232") == null);
try std.testing.expect(std.mem.indexOf(u8, out, "$765.91") == null);
}

View file

@ -65,6 +65,31 @@ const Split = split.Split;
// Both snapshot and audit honor this: snapshot via `buildFallbackPrices`
// + `manual_set`, audit via inline `prices.get(sym) orelse avg_cost`
// with a matching `is_preadjusted` flag per branch.
//
// ## Per-LOT display rows
//
// `valuation.Allocation` is a POSITION-level view, and its
// `current_price` is the RAW base-ticker price - not any lot's
// effective price. Worse, `valuation.mergeAllocsBySymbol` folds every
// ratio variant of one ticker into a single row whose `shares` are
// normalized into base-ticker-equivalent units. So the allocation is
// self-consistent while telling you nothing directly usable about the
// individual lots underneath it.
//
// A lot-detail row that multiplies its OWN raw shares by that raw price
// is therefore wrong by exactly the lot's ratio. That shipped: a
// direct-indexing sleeve with `price_ratio:num:0.2387` rendered a
// +$3.39M gain against a real +$433K, and the lot rows under a position
// summed to three times the position's own market value. Three sites had
// independently hand-rolled the same broken expression.
//
// So: per-lot display sites MUST price through
// `views/portfolio_sections.zig:effectivePriceFor(allocations, lot)`, which
// resolves `close_price`, reads provenance off
// `Allocation.is_manual_price`, and applies the ratio via
// `Lot.effectivePrice`. Never read `Allocation.current_price` into a
// per-lot calculation. Current callers: the CLI holdings table, the TUI
// portfolio tab's lot rows, and the shared column-width pass.
// Share model (split adjustment)
//

View file

@ -1922,18 +1922,24 @@ pub fn drawContent(state: *State, app: *App, arena: std.mem.Allocator, buf: []va
// Compute lot gain/loss and market value if we have a price
var lot_gl_str: []const u8 = "";
var lot_mv_str: []const u8 = "";
var lot_eff_price_str: []const u8 = "";
var lot_positive = true;
if (app.portfolio.summary) |s| {
if (row.pos_idx < s.allocations.len) {
const price = s.allocations[row.pos_idx].current_price;
const use_price = lot.close_price orelse price;
const gl = lot.effectiveShares() * (use_price - lot.effectiveOpenPrice());
lot_positive = gl >= 0;
lot_gl_str = try std.fmt.allocPrint(arena, "{s}{f}", .{
if (gl >= 0) @as([]const u8, "+") else @as([]const u8, "-"),
Money.from(if (gl >= 0) gl else -gl),
});
lot_mv_str = try std.fmt.allocPrint(arena, "{f}", .{Money.from(lot.effectiveShares() * use_price)});
// The LOT's effective price, not its position's -
// `Allocation.current_price` is the raw
// base-ticker price, so a ratio'd lot must go
// through `effectivePriceFor` or its Value and
// Gain/Loss come out scaled by its ratio.
const use_price = views.effectivePriceFor(s.allocations, lot);
const gl = lot.effectiveShares() * (use_price - lot.effectiveOpenPrice());
lot_positive = gl >= 0;
lot_gl_str = try std.fmt.allocPrint(arena, "{s}{f}", .{
if (gl >= 0) @as([]const u8, "+") else @as([]const u8, "-"),
Money.from(if (gl >= 0) gl else -gl),
});
lot_mv_str = try std.fmt.allocPrint(arena, "{f}", .{Money.from(lot.effectiveShares() * use_price)});
if (views.hasOwnPrice(lot)) {
lot_eff_price_str = try std.fmt.allocPrint(arena, "{f}", .{Money.from(use_price)});
}
}
@ -1956,7 +1962,10 @@ pub fn drawContent(state: *State, app: *App, arena: std.mem.Allocator, buf: []va
var lot_cost_pad: [64]u8 = undefined;
const lot_cost_cell = fmt.padLeftToCols(&lot_cost_pad, lot_price_str, cw.price_w);
var lot_prc_pad: [64]u8 = undefined;
const lot_prc_cell = fmt.padLeftToCols(&lot_prc_pad, "", cw.price_w); // blank current-price cell
// Blank unless the lot is ratio'd, in which case it
// prices off its own institutional NAV rather than
// the base-ticker price on the position row above.
const lot_prc_cell = fmt.padLeftToCols(&lot_prc_pad, lot_eff_price_str, cw.price_w);
var lot_mv_pad: [64]u8 = undefined;
const lot_mv_cell = fmt.padLeftToCols(&lot_mv_pad, lot_mv_str, cw.value_w);
var lot_gl_pad: [64]u8 = undefined;

View file

@ -117,7 +117,13 @@ pub fn computeWidths(
if (lot.security_type != .stock) continue;
w.shares_w = @max(w.shares_w, sharesCols(lot.effectiveShares()));
w.price_w = @max(w.price_w, moneyCols(lot.effectiveOpenPrice()));
const use_price = lot.close_price orelse currentPriceFor(allocations, lot.priceSymbol());
const use_price = effectivePriceFor(allocations, lot);
// A ratio'd lot renders its own effective price in the Price
// cell (see `hasOwnPrice`), and that price can exceed every
// allocation's raw price - an 8.6x institutional ratio puts a
// $90 base ticker at $775. Observe it or the cell overflows its
// column.
if (hasOwnPrice(lot)) w.price_w = @max(w.price_w, moneyCols(use_price));
w.value_w = @max(w.value_w, moneyCols(lot.effectiveShares() * use_price));
w.gainloss_w = @max(w.gainloss_w, gainLossCols(lot.effectiveShares() * (use_price - lot.effectiveOpenPrice())));
}
@ -161,16 +167,71 @@ fn gainLossCols(amount: f64) usize {
return 1 + moneyCols(if (amount < 0) -amount else amount);
}
/// Current price for `symbol` from the allocations (linear scan;
/// portfolios are small). Returns 0 when absent, which yields a
/// trivially small cell that widens nothing.
fn currentPriceFor(allocations: []const Allocation, symbol: []const u8) f64 {
/// The effective price of a single LOT: the base-ticker price from
/// `allocations` with this lot's `price_ratio` applied. The free-function
/// counterpart to `Lot.effectivePrice`, which takes the raw price as an
/// argument - this one resolves it from the allocations first. Returns 0
/// when no allocation matches the lot's `priceSymbol()` (an orphan lot),
/// which yields a trivially small cell that widens nothing and a
/// zero-value row rather than a crash.
///
/// EVERY per-lot display site MUST price through this instead of
/// reading `Allocation.current_price` directly.
/// `Allocation.current_price` is the RAW base-ticker price (see its doc
/// comment in `analytics/valuation.zig`), and `mergeAllocsBySymbol`
/// normalizes a merged group's `shares` into base-ticker-equivalent
/// units. A lot row that multiplies its own RAW shares by that RAW
/// price is therefore off by exactly the lot's ratio. That shipped: a
/// direct-indexing sleeve with `price_ratio:num:0.2387` rendered a
/// +$3.39M gain against a real +$433K, and the lot rows under a
/// position summed to three times the position's own market value.
///
/// Provenance follows the `is_preadjusted` rule from the pricing-model
/// block in `models/portfolio.zig`:
///
/// - `close_price` is preadjusted (already the lot's own NAV), so a
/// closed lot's ratio is NOT reapplied. Matches how the
/// contributions pipeline values closed lots.
/// - A manual `price::` is preadjusted too. `buildFallbackPrices`
/// stores the raw override and flags the allocation
/// `is_manual_price`, so that flag is the provenance signal here.
/// - Anything else is a candle close: raw, so the ratio applies.
///
/// Known limit, deliberately not handled: a MERGED group that mixes
/// manual-priced and live-priced components gets a blended
/// `current_price` (`total_mv / norm_shares`) that is neither raw nor
/// preadjusted, and a single `is_manual_price` bit cannot describe
/// both. That is an expressiveness gap in `mergeAllocsBySymbol` itself,
/// not something a lot-row accessor can repair. Merged groups whose
/// components share one provenance - the common case, and the only case
/// a ratio'd alias produces - are exact: with every component live off
/// the same raw price `r`, `total_mv / norm_shares` reduces to `r`.
pub fn effectivePriceFor(allocations: []const Allocation, lot: Lot) f64 {
if (lot.close_price) |cp| return lot.effectivePrice(cp, true);
for (allocations) |a| {
if (std.mem.eql(u8, a.symbol, symbol)) return a.current_price;
if (!std.mem.eql(u8, a.symbol, lot.priceSymbol())) continue;
return lot.effectivePrice(a.current_price, a.is_manual_price);
}
return 0;
}
/// Whether a lot row should render its own effective price in the Price
/// cell, which is otherwise blank because the position row above
/// already shows it.
///
/// True only for a ratio'd lot, where the lot's price genuinely differs
/// from its position's: the position row shows the base-ticker price
/// ($90.15 SPYM) while the lot trades at its institutional NAV ($775.17
/// at an 8.6x ratio). Showing it makes the ratio auditable at a glance
/// - and a blank cell is exactly why a 7-figure ratio bug in the
/// neighbouring Value and Gain/Loss cells went unnoticed.
///
/// Both the width pass and the two renderers gate on this, so they
/// cannot disagree about whether the cell is occupied.
pub fn hasOwnPrice(lot: Lot) bool {
return lot.price_ratio != 1.0;
}
/// Write `content` into a `width`-column field: right-justified (spaces
/// before) when `right`, else left-justified (spaces after).
/// Display-column aware. The streaming analogue of
@ -523,6 +584,12 @@ pub const CDs = struct {
// Tests
const testing = std.testing;
// Test-only, and the module rather than a type extraction: the
// lot-row/position-row reconciliation invariant has to go through the
// real `positionsAsOf` -> `portfolioSummary` -> `mergeAllocsBySymbol`
// pipeline, because the bug lived in the seam between them.
const portfolio_mod = @import("../models/portfolio.zig");
const valuation = @import("../analytics/valuation.zig");
test "Options.init: expired rows form a prefix; active/expired slices split correctly" {
const as_of = Date.fromYmd(2024, 6, 1);
@ -592,11 +659,192 @@ test "CDs.init: all matured yields empty active slice" {
try testing.expectEqual(@as(usize, 0), cds.activeItems().len);
}
// effectivePriceFor / hasOwnPrice
test "effectivePriceFor: live price gets the lot's ratio applied" {
// The bug this guards: `Allocation.current_price` is the RAW
// base-ticker price. A proxied sleeve quoted off a $90.15 base at an
// 8.6x institutional ratio prices at $775.17, not $90.15.
const allocs = [_]Allocation{mkAlloc("BENCH", 6097.4, 53.65, 90.15, 549779, 222651)};
const lot = Lot{
.symbol = "DI-IDX",
.ticker = "BENCH",
.price_ratio = 8.598685594945021,
.shares = 709.235272,
.open_date = Date.fromYmd(2026, 2, 25),
.open_price = 461.240208,
};
try testing.expectApproxEqRel(@as(f64, 775.1715), effectivePriceFor(&allocs, lot), 1e-6);
}
test "effectivePriceFor: ratio below 1.0 scales the price down, not up" {
// The sign of the failure matters: an under-1.0 ratio is what
// produced the +$3.39M phantom gain, because skipping the ratio
// INFLATES the price. 5075.077 shares at a raw $765.91 is $3.89M;
// the real effective price is 765.91 * 0.2387 = $182.82 -> $927,824.
const allocs = [_]Allocation{mkAlloc("BENCH", 1211.4, 408.47, 765.91, 927824, 433004)};
const lot = Lot{
.symbol = "AGG-LC",
.ticker = "BENCH",
.price_ratio = 0.2386960690140873,
.shares = 5075.077,
.open_date = Date.fromYmd(2026, 2, 26),
.open_price = 97.50,
};
const eff_price = effectivePriceFor(&allocs, lot);
try testing.expectApproxEqRel(@as(f64, 182.8197), eff_price, 1e-6);
// The whole point: value must land on the real figure, not the
// ratio-skipped one.
try testing.expectApproxEqRel(@as(f64, 927824.086), lot.effectiveShares() * eff_price, 1e-6);
try testing.expect(lot.effectiveShares() * eff_price < 1_000_000);
}
test "effectivePriceFor: ratio 1.0 passes the raw price straight through" {
const allocs = [_]Allocation{mkAlloc("ABC", 100, 50, 60, 6000, 1000)};
const lot = Lot{ .symbol = "ABC", .shares = 100, .open_date = Date.fromYmd(2024, 1, 1), .open_price = 50 };
try testing.expectEqual(@as(f64, 60), effectivePriceFor(&allocs, lot));
}
test "effectivePriceFor: manual price is preadjusted, so the ratio is NOT reapplied" {
// `buildFallbackPrices` stores the raw `price::` override and flags
// the allocation `is_manual_price`. A manual price is already the
// lot's own NAV by convention, so multiplying by the ratio would
// double-apply it.
var alloc = mkAlloc("ORCX", 100, 18.15, 19.01, 1901, 86);
alloc.is_manual_price = true;
const allocs = [_]Allocation{alloc};
const lot = Lot{
.symbol = "ORCX",
.price_ratio = 5.0,
.shares = 100,
.open_date = Date.fromYmd(2026, 2, 26),
.open_price = 18.15,
};
try testing.expectEqual(@as(f64, 19.01), effectivePriceFor(&allocs, lot));
}
test "effectivePriceFor: close_price wins over the allocation and skips the ratio" {
// A closed lot's `close_price` is the price it actually closed at -
// already in the lot's own units. Matches how the contributions
// pipeline values closed lots (`effectivePrice(close_price, true)`).
const allocs = [_]Allocation{mkAlloc("BENCH", 100, 50, 90.15, 9015, 4015)};
const lot = Lot{
.symbol = "CUSIP1",
.ticker = "BENCH",
.price_ratio = 5.061982036579556,
.shares = 2412.601,
.open_date = Date.fromYmd(2026, 2, 26),
.open_price = 106.99,
.close_price = 150.39,
};
try testing.expectEqual(@as(f64, 150.39), effectivePriceFor(&allocs, lot));
}
test "effectivePriceFor: orphan lot with no matching allocation yields 0" {
const allocs = [_]Allocation{mkAlloc("ABC", 100, 50, 60, 6000, 1000)};
const lot = Lot{ .symbol = "ORPHAN", .shares = 5, .open_date = Date.fromYmd(2024, 1, 1), .open_price = 7 };
try testing.expectEqual(@as(f64, 0), effectivePriceFor(&allocs, lot));
}
test "effectivePriceFor: matches on priceSymbol, not the lot's own symbol" {
// A CUSIP lot must find its allocation under the ticker alias.
const allocs = [_]Allocation{mkAlloc("BENCH", 100, 50, 90.15, 9015, 4015)};
const by_cusip = Lot{ .symbol = "02315N600", .shares = 10, .open_date = Date.fromYmd(2024, 1, 1), .open_price = 50 };
try testing.expectEqual(@as(f64, 0), effectivePriceFor(&allocs, by_cusip));
var aliased = by_cusip;
aliased.ticker = "BENCH";
try testing.expectEqual(@as(f64, 90.15), effectivePriceFor(&allocs, aliased));
}
test "hasOwnPrice: only ratio'd lots occupy the Price cell" {
const plain = Lot{ .symbol = "ABC", .shares = 1, .open_date = Date.fromYmd(2024, 1, 1), .open_price = 1 };
try testing.expect(!hasOwnPrice(plain));
var ratioed = plain;
ratioed.price_ratio = 8.6;
try testing.expect(hasOwnPrice(ratioed));
// Under 1.0 counts too - that direction is the one that inflated.
ratioed.price_ratio = 0.2387;
try testing.expect(hasOwnPrice(ratioed));
}
test "effectivePriceFor: lot rows sum to their merged position's market value" {
// The exact shape that shipped the bug. Two proxied sleeves alias
// one base ticker with DIFFERENT ratios, so `positionsAsOf` groups
// them into two Positions and `mergeAllocsBySymbol` collapses those
// into ONE Allocation whose `shares` are normalized into
// base-ticker-equivalent units and whose `current_price` is the RAW
// base-ticker price.
//
// A lot row that multiplied its own raw shares by that raw price
// rendered 5075.077 * $765.91 = $3.89M for a lot really worth
// $928K, and the two lot rows summed to three times the position
// row above them. This asserts they reconcile.
const base_price: f64 = 765.91;
var lots = [_]Lot{
.{
.symbol = "DI-IDX",
.ticker = "BENCH",
.price_ratio = 1.0120921601549708,
.shares = 709.235272,
.open_date = Date.fromYmd(2026, 2, 25),
.open_price = 461.240208,
.account = "Sample Trust",
},
.{
.symbol = "AGG-LC",
.ticker = "BENCH",
.price_ratio = 0.2386960690140873,
.shares = 5075.077,
.open_date = Date.fromYmd(2026, 2, 26),
.open_price = 97.50,
.account = "Sample 401(k)",
},
};
const pf = portfolio_mod.Portfolio{ .lots = &lots, .allocator = testing.allocator };
const as_of = Date.fromYmd(2026, 8, 26);
const positions = try pf.positionsAsOf(testing.allocator, as_of);
defer testing.allocator.free(positions);
// Same ticker, different ratios -> two Positions, not one.
try testing.expectEqual(@as(usize, 2), positions.len);
var prices = std.StringHashMap(f64).init(testing.allocator);
defer prices.deinit();
try prices.put("BENCH", base_price);
var summary = try valuation.portfolioSummary(as_of, testing.allocator, pf, positions, prices, null);
defer summary.deinit(testing.allocator);
// ...which merge back into one Allocation.
try testing.expectEqual(@as(usize, 1), summary.allocations.len);
const a = summary.allocations[0];
try testing.expectEqualStrings("BENCH", a.symbol);
// Merged rows normalize to base units, so the ratio is spent.
try testing.expectEqual(@as(f64, 1.0), a.price_ratio);
try testing.expectApproxEqRel(base_price, a.current_price, 1e-9);
var lot_mv_total: f64 = 0;
var lot_gl_total: f64 = 0;
for (lots) |lot| {
const eff_price = effectivePriceFor(summary.allocations, lot);
lot_mv_total += lot.effectiveShares() * eff_price;
lot_gl_total += lot.effectiveShares() * (eff_price - lot.effectiveOpenPrice());
}
try testing.expectApproxEqRel(a.market_value, lot_mv_total, 1e-9);
try testing.expectApproxEqRel(a.unrealized_gain_loss, lot_gl_total, 1e-9);
// And pin the magnitude, so a future regression that merely
// reconciles two equally-wrong numbers still fails.
try testing.expectApproxEqRel(@as(f64, 1_477_603.06), lot_mv_total, 1e-6);
try testing.expectApproxEqRel(@as(f64, 655_655.23), lot_gl_total, 1e-6);
}
// computeWidths
/// Build a minimal Allocation for width tests. `cost_basis` is derived
/// so `unrealized_gain_loss` is consistent (not that computeWidths
/// reads cost_basis, but it keeps the fixture honest).
/// Build a minimal Allocation for the width and effective-price tests.
/// `cost_basis` is derived so `unrealized_gain_loss` is consistent (not
/// that computeWidths reads cost_basis, but it keeps the fixture
/// honest).
fn mkAlloc(symbol: []const u8, shares: f64, avg_cost: f64, current_price: f64, market_value: f64, gl: f64) Allocation {
return .{
.symbol = symbol,
@ -612,6 +860,50 @@ fn mkAlloc(symbol: []const u8, shares: f64, avg_cost: f64, current_price: f64, m
};
}
test "computeWidths: a ratio'd lot's effective price widens the Price column" {
// A ratio'd lot renders its own effective price in the
// otherwise-blank Price cell, and at an 8.6x institutional ratio
// that price dwarfs every allocation figure: base ticker $90.15 (6
// cols), avg cost $53.65 (6), lot open price $461.24 (7) - but the
// effective price is $775.17 (7)... so push the ratio higher to make
// it the strict maximum and prove the width pass observes it.
const allocs = [_]Allocation{mkAlloc("BENCH", 100, 53.65, 90.15, 9015, 1000)};
const lots = [_]Lot{.{
.symbol = "DI-IDX",
.ticker = "BENCH",
.price_ratio = 150.0, // effective = $13,522.50 -> "$13,522.50" = 10 cols
.shares = 10,
.open_date = Date.fromYmd(2026, 2, 25),
.open_price = 100.0,
}};
const w = computeWidths(&allocs, &lots, 9015, 1000, &.{}, null);
try testing.expectEqual(@as(usize, 10), w.price_w);
}
test "computeWidths: the Price cell is measured only when the lot occupies it" {
// Needs an effective price that is NOT already measured from the
// allocations, or the gate is unfalsifiable: for an open ratio-1.0
// lot the effective price IS `alloc.current_price`, which is always
// measured. A closed lot's comes from its own `close_price` instead,
// so it is visible to the lot pass alone.
const allocs = [_]Allocation{mkAlloc("ABC", 100, 50, 60, 6000, 1000)};
var lots = [_]Lot{.{
.symbol = "ABC",
.shares = 10,
.open_date = Date.fromYmd(2026, 2, 25),
.open_price = 1.0,
.close_price = 99999.99, // "$99,999.99" = 10 cols
}};
// Ratio 1.0: cell stays blank, so the 10-col price must not leak in.
// $50.00 / $60.00 / $1.00 are all under the 8-col "Avg Cost" floor.
try testing.expectEqual(@as(usize, PositionsLayout.min_price_w), computeWidths(&allocs, &lots, 6000, 1000, &.{}, null).price_w);
// Ratio'd: the cell is occupied, so the same price now widens it.
lots[0].price_ratio = 2.0;
try testing.expectEqual(@as(usize, 10), computeWidths(&allocs, &lots, 6000, 1000, &.{}, null).price_w);
}
test "computeWidths: empty portfolio sits at the header-label floors" {
const w = computeWidths(&.{}, &.{}, 0, 0, &.{}, null);
try testing.expectEqual(@as(usize, PositionsLayout.min_symbol_w), w.symbol_w);