size_sweep
Read-onlyIdempotent
How big a search would be, without creating anything. THIS IS THE NUMBER YOU SAY OUT LOUD, and it is almost never the number the person named: the draw count is PER WINDOW and Oracle keeps many windows per asset. Oracle counts it by walking exactly what the plan would walk, so nothing else can be trusted to work it out. Free, and repeatable -- call it after every change while the size is being settled, and only create the sweep once the person has agreed to a total. If it comes back capped, their plan scaled the search down and cap_applied says by how much.
Tool call template
This tool declares no required parameters. Add optional parameters from the input schema as needed.
{
"id": 1,
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"arguments": {},
"name": "size_sweep"
}
}Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| assets | No | Asset symbols, e.g. ["BTC", "ETH"]. | |
| regimes | No | Market conditions to keep: current, bear, neutral, bull. current means data within the last 30 days, which is recency and not direction. Omitted, every condition. | |
| windows | No | Specific window files to include whatever else is chosen. | |
| categories | No | Draw only from these signal classes, e.g. ["momentum"]. The classes are averaging, flow, momentum, oscillator, pattern and volatility. Omitted, the whole library. | |
| candle_sizes | No | Candle sizes, e.g. ["1h"]. Omitted, every size Oracle holds for those assets, which multiplies the windows. | |
| exit_filters | No | Draw exit filters only from these. | |
| entry_filters | No | Draw entry filters only from these. Omitted, every filter. | |
| exit_triggers | No | Draw an exit trigger only from these. Omitted, no exit signal is drawn at all and runs exit on the risk settings. | |
| param_samples | No | How many values each signal parameter contributes. The space is their product, so this is the dial that decides whether the search explores parameters at all; at 1 every candidate runs at a single setting. | |
| signal_groups | No | Keep kinds of signal apart. A candidate draws ALL of its signals from ONE group, so two signals in different groups never appear on the same strategy. Runs are split across the groups. | |
| entry_triggers | No | Draw the entry trigger only from these signals, named as the knowledge graph registers them. Omitted, every trigger. | |
| execution_base | No | Risk settings every run shares, from the execution config schema. Omitted, platform canon. | |
| include_gapped | No | Include windows missing bars. Off by default, because a metric over a half-covered window is not comparable to one over a whole window. | |
| max_total_runs | No | A ceiling on the executed runs, applied by Oracle. | |
| candidate_shape | No | How many parts a drawn strategy gets, any of n_entry_triggers, min_entry_filters, max_entry_filters, min_exit_triggers, max_exit_triggers, min_exit_filters, max_exit_filters. Omitted, the platform default shape. | |
| execution_sweeps | No | Execution parameters to search too, each {param: {min, max, n}}. Every one of these multiplies the run count. | |
| draws_per_dataset | No | How many candidate strategies to draw PER WINDOW. The runs that execute are this multiplied by the number of windows. | |
| pre_filter_threshold | No | Skip a drawn candidate the SIEVE model predicts will not trade at all, above this confidence. A will-it-trade gate and nothing about whether it will make money. Omitted, no skipping. |