NeuronAlgo Balanced $100K Portfolio
NA-PF-BAL-100K · Balanced profile · $100,000 balance · 131 robots
Bundle availability: Quant only
Performance figures are from historical backtests. Past performance does not guarantee future results.
🔒 Quant only — this bundle requires the Quant plan.
Portfolio composition
$ show --allocation
how capital is distributed across the member robots (from the published manifest)
Show all 131 robots (121 more)
Caelum
Aldebaran
Achernar
🔒 Per-robot risk sizing, magic numbers and set files unlock with a Premium or Quant plan.
Blended equity curve
$ plot --equity --blended
blended account equity across the portfolio backtest window
Stored snapshot: 1,000 points; starts at $99,974.75, ends at $389,341.91; observed range $99,728.77–$389,621.83.
Risk and objective specification
$ stats --risk --objective
risk model and objective spec for this cell — plain-English definitions in the field guide below
$ man risk_spec — what each number means
CDaR 95%
Conditional Drawdown at Risk: the average of the worst 5% of equity drawdowns in the backtest. Max drawdown is the single worst moment — CDaR 95% shows how deep a typical bad stretch gets, which makes it a more realistic number to plan around.
Max drawdown
The single largest peak-to-valley drop in account equity across the whole backtest — the worst moment of the entire test period.
P(target first)
The backtest is re-shuffled into thousands of bootstrap simulation runs (in-sample). This is the share of those runs that reached the profit target before ever touching the loss floor.
Median days to target
Half of the bootstrap simulation runs reached the profit target within this many days; the other half needed longer.
Avg intra-corr
Average pairwise correlation between the daily returns of the member robots. The closer to 0, the more independently the robots win and lose — the diversification that keeps the blended equity curve smoother than any single robot on its own.
Profit target
The profit goal this portfolio cell is engineered around, prop-firm style. Robot selection and risk sizing in this cell are tuned so the math points at this number.
Loss floor
The total loss budget of the design — if total losses ever reach this amount, the objective counts as failed. The optimizer keeps the odds of that as low as possible.
Daily loss limit
The most the design allows the account to lose in a single day — a per-day slice of the total loss budget, like a prop-firm daily limit.
Designed for balance
The account size this cell was modeled on. Every dollar figure above assumes this starting balance; the percent sub-lines are the balance-independent view.
🔒 Full objective spec is included with Premium and Quant plans.
Put this portfolio to work
Replicate the full allocation on your own account, or compare it against other portfolios before you commit.
