feat: bandarmology (idx stocks bandar, analyze_bandar)

`idx stocks bandar SYMBOL...` reads the broker summary: for the top 1, 3,
5 and 10 brokers per side, buy value minus sell value in basis points of
value traded, with a signal from big accumulation to big distribution on
the headline tier (--top, default 5). Several symbols give a screen ranked
by that figure (at most 100, one request each), which pipes from
`stocks screen`. The MCP server exposes it as analyze_bandar (20 symbols).

- analysis/bandar.rs is pure and versioned (`top_concentration_v1`):
  integer basis points, no figure missing counted as zero, buy/sell VWAP
  from exact averages, and the brokers on both sides listed because their
  gross figures overstate their direction.
- Thresholds (±5%/±15%) follow fzn0x/idx (MIT); docs call them heuristics.
- Invalid input fails a screen at once; other errors fail one symbol and
  are warned about on stderr.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01V3syn2fN2LNo5pvTSqc6eh
This commit is contained in:
hermes 2026-10-18 04:55:25 +00:00
commit 970da26a0e
25 changed files with 1588 additions and 37 deletions

View file

@ -4,10 +4,13 @@ use clap::{Args, Subcommand};
use crate::config::{HistoryProviderKind, IdxConfig};
use crate::output::{
render_broker_summary, render_compare, render_earnings, render_financials, render_fundamental,
render_growth, render_history, render_insights, render_news, render_profile, render_quotes,
render_risk, render_screener, render_sentiment, render_technical, render_valuation,
render_bandar, render_broker_summary, render_compare, render_earnings, render_financials,
render_fundamental, render_growth, render_history, render_insights, render_news,
render_profile, render_quotes, render_risk, render_screener, render_sentiment,
render_technical, render_valuation,
};
use idx_core::analysis::BandarQuery;
use idx_core::analysis::bandar::DEFAULT_TOP;
use idx_core::api::types::{Interval, Period};
use idx_core::broker::types::{BrokerBoard, BrokerInvestor, BrokerRange};
use idx_core::error::IdxError;
@ -17,6 +20,9 @@ use idx_core::{CachePolicy, Idx, runtime};
/// Splits comma-separated symbol arguments; `-` reads symbols from stdin,
/// separated by whitespace or commas.
/// Most symbols one `bandar` screen fetches, one request each.
const MAX_BANDAR_SYMBOLS: usize = 100;
fn expand_symbols(args: &[String]) -> Result<Vec<String>, IdxError> {
let mut symbols = Vec::new();
for arg in args {
@ -195,6 +201,24 @@ does not show broker codes during trading. Without dates, the latest session wit
#[command(flatten)]
scope: BrokerScopeArgs,
},
#[command(
about = "Bandarmology: is buying more concentrated than selling",
long_about = "Bandarmology from the broker summary: the top 1, 3, 5 and 10 buyers' value \
against the same number of sellers', as a share of value traded, with a signal from big \
accumulation to big distribution. Several symbols give a screen ranked by the headline tier \
(at most 100, one request each). A heuristic over end-of-day broker codes, not advice.",
after_help = "Examples:\n idx stocks bandar BBCA\n idx stocks bandar BBCA --from 2026-10-12 --to 2026-10-16 --top 3\n idx stocks bandar BBCA,BBRI,BMRI,TLKM\n idx stocks screen --filter high-volume | jq -r '.[].symbol' | idx stocks bandar -"
)]
Bandar {
/// One or more symbols, comma-separated or space-separated; `-` reads them from stdin.
#[arg(required = true)]
symbols: Vec<String>,
#[command(flatten)]
scope: BrokerScopeArgs,
/// Tier behind the headline signal: 1, 3, 5 or 10 brokers per side.
#[arg(long, default_value_t = DEFAULT_TOP)]
top: u8,
},
#[command(about = "Get company profile")]
Profile { symbol: String },
#[command(
@ -311,6 +335,31 @@ pub fn handle(
)?;
render_broker_summary(&summary.data, format)
}
StocksSubcommand::Bandar {
symbols,
scope,
top,
} => {
let symbols = expand_symbols(symbols)?;
if symbols.len() > MAX_BANDAR_SYMBOLS {
return Err(IdxError::InvalidInput(format!(
"at most {MAX_BANDAR_SYMBOLS} symbols per bandar screen (got {})",
symbols.len()
)));
}
let query = BandarQuery {
range: scope.range(&idx)?,
investor: scope.investor,
board: scope.board,
top: *top,
};
let screen = idx.analysis().bandar_screen(&symbols, &query, policy)?;
for (resolved, err) in screen.failures {
runtime::warn(format!("failed to read brokers for {resolved}: {err}"));
}
let reports: Vec<_> = screen.reports.into_iter().map(|r| r.data).collect();
render_bandar(&reports, symbols.len() > 1, format, no_color)
}
StocksSubcommand::Profile { symbol } => {
let profile = idx.financial().profile(symbol, policy)?;
render_profile(&profile.data, format)

View file

@ -8,6 +8,7 @@ use std::io::IsTerminal;
use clap::ValueEnum;
use serde::Serialize;
use idx_core::analysis::bandar::BandarReport;
use idx_core::analysis::fundamental::{
FundamentalReport, GrowthReport, RiskReport, ValuationReport,
};
@ -84,6 +85,21 @@ pub fn render_broker_summary(
}
}
/// One symbol gets the detailed table, several the ranked screen (even when
/// only one of them succeeded); JSON is always the array.
pub fn render_bandar(
reports: &[BandarReport],
screen: bool,
format: &OutputFormat,
no_color: bool,
) -> Result<(), IdxError> {
match (format, reports) {
(OutputFormat::Table, [report]) if !screen => table::print_bandar_report(report, no_color),
(OutputFormat::Table, _) => table::print_bandar_screen(reports, no_color),
(OutputFormat::Json | OutputFormat::Jsonl, _) => json::print_json(reports),
}
}
pub fn render_history(
symbol: &str,
history: &[Ohlc],

View file

@ -2,6 +2,9 @@ use crate::output::style::Paint;
use crate::output::text::{cell, painted, terminal_safe, truncate_chars};
use comfy_table::{Cell, Color, ContentArrangement, Table, presets::UTF8_FULL};
use idx_core::analysis::bandar::{
ACCUMULATION_BPS, BIG_BPS, BandarReport, BandarSignal, METHOD as BANDAR_METHOD,
};
use idx_core::analysis::fundamental::{
FundamentalReport, GrowthReport, RiskReport, ValuationReport,
};
@ -1018,6 +1021,171 @@ pub fn print_broker_summary(summary: &BrokerSummary) -> Result<(), IdxError> {
Ok(())
}
fn format_bps_pct(bps: Option<i64>) -> String {
bps.map(|bps| format!("{:+.1}%", bps as f64 / 100.0))
.unwrap_or_else(|| "-".to_string())
}
fn format_bps_share(bps: Option<i64>) -> String {
bps.map(|bps| format!("{:.1}%", bps as f64 / 100.0))
.unwrap_or_else(|| "-".to_string())
}
fn format_bandar_signal(signal: Option<BandarSignal>, no_color: bool) -> String {
let Some(signal) = signal else {
return "-".to_string();
};
let label = signal.as_str().replace('_', " ");
if no_color {
return label;
}
match signal {
BandarSignal::BigAccumulation | BandarSignal::Accumulation => label.green(),
BandarSignal::BigDistribution | BandarSignal::Distribution => label.red(),
BandarSignal::Neutral => label,
}
}
fn bandar_method_note(top: u8) -> String {
format!(
"Method {BANDAR_METHOD}: the top {top} buyers' value minus the top {top} sellers' value, \
as a share of value traded; {}% or more reads accumulation, {}% or more big (negative: \
distribution). Brokers trade for many clients, so this is a heuristic, not advice.",
ACCUMULATION_BPS / 100,
BIG_BPS / 100
)
}
pub fn print_bandar_report(report: &BandarReport, no_color: bool) -> Result<(), IdxError> {
println!(
"{}",
format!(
"Bandar reading for {}, {}",
terminal_safe(&report.symbol),
broker_scope(report.from, report.to, report.investor, report.board)
)
.bold()
);
if report.total_value.is_none_or(|value| value <= 0) {
println!("No trades.");
return Ok(());
}
println!(
"Signal (top {}): {}, {} of value",
report.top,
format_bandar_signal(report.signal, no_color),
format_bps_pct(report.imbalance_bps)
);
let mut table = Table::new();
table
.load_preset(UTF8_FULL)
.set_content_arrangement(ContentArrangement::Dynamic)
.set_header(vec![
"TOP", "BUY", "SELL", "NET", "NET %", "BUY AVG", "SELL AVG", "SIGNAL",
]);
for tier in &report.tiers {
table.add_row(vec![
cell(tier.top),
cell(format_compact_option(tier.buy_value)),
cell(format_compact_option(tier.sell_value)),
cell(format_compact_option(tier.imbalance_value)),
cell(format_bps_pct(tier.imbalance_bps)),
cell(
tier.buy_average
.map(format_idr)
.unwrap_or_else(|| "-".to_string()),
),
cell(
tier.sell_average
.map(format_idr)
.unwrap_or_else(|| "-".to_string()),
),
painted(format_bandar_signal(tier.signal, no_color)),
]);
}
println!("{table}");
let mut totals = format!("Total {} IDR", format_compact_option(report.total_value));
if let Some(average) = report.average_price {
totals.push_str(&format!(", average {}", format_idr(average)));
}
if let Some(net) = report.foreign_net_value {
totals.push_str(&format!(
"; foreign net {:+} ({} of value)",
format_compact(net),
format_bps_pct(report.foreign_net_bps)
));
}
println!("{totals}.");
if !report.both_sides.is_empty() {
println!(
"On both sides: {}; their gross figures overstate which way they traded.",
terminal_safe(&report.both_sides.join(", "))
);
}
println!("{}", bandar_method_note(report.top));
if report.rounded {
println!("Note: the source rounds figures of a million and more to one decimal.");
}
Ok(())
}
pub fn print_bandar_screen(reports: &[BandarReport], no_color: bool) -> Result<(), IdxError> {
let top = reports.first().map(|report| report.top).unwrap_or_default();
let mut table = Table::new();
table
.load_preset(UTF8_FULL)
.set_content_arrangement(ContentArrangement::Dynamic)
.set_header(vec![
"SYMBOL".to_string(),
"DATES".to_string(),
"SIGNAL".to_string(),
format!("TOP {top} NET %"),
"BUY SHARE".to_string(),
"SELL SHARE".to_string(),
"VALUE".to_string(),
"FOREIGN NET".to_string(),
]);
for report in reports {
let headline = report.tiers.iter().find(|tier| tier.top == report.top);
table.add_row(vec![
cell(&report.symbol),
cell(broker_scope(
report.from,
report.to,
BrokerInvestor::All,
BrokerBoard::All,
)),
painted(format_bandar_signal(report.signal, no_color)),
cell(format_bps_pct(report.imbalance_bps)),
cell(format_bps_share(
headline.and_then(|tier| tier.buy_share_bps),
)),
cell(format_bps_share(
headline.and_then(|tier| tier.sell_share_bps),
)),
cell(format_compact_option(report.total_value)),
cell(
report
.foreign_net_value
.map(|net| format!("{:+}", format_compact(net)))
.unwrap_or_else(|| "-".to_string()),
),
]);
}
println!("{table}");
if let Some(first) = reports.first()
&& (first.investor, first.board) != (BrokerInvestor::All, BrokerBoard::All)
{
println!(
"Counting {} investors on the {} board.",
first.investor.as_str(),
first.board.as_str()
);
}
println!("{}", bandar_method_note(top));
Ok(())
}
#[cfg(test)]
mod tests {
use super::{

View file

@ -2605,3 +2605,120 @@ fn broker_summary_errors_follow_the_output_contract() {
]);
run_error_json(&mut failing, "PROVIDERUNAVAILABLE");
}
#[test]
fn bandar_reads_the_broker_summary_tiers() {
let reports = run_success_json(mock_bin("bandar-json").args([
"-o",
"json",
"stocks",
"bandar",
"BBCA",
"--date",
"2026-10-16",
]));
let report = &reports[0];
assert_eq!(reports.as_array().unwrap().len(), 1);
assert_eq!(report["symbol"], "BBCA.JK");
assert_eq!(report["method"], "top_concentration_v1");
let tiers: Vec<i64> = report["tiers"]
.as_array()
.unwrap()
.iter()
.map(|tier| tier["top"].as_i64().unwrap())
.collect();
assert_eq!(tiers, [1, 3, 5, 10]);
// Top 5 bought 2,939.5B and sold 4,540.4B of 6.6T traded.
let top5 = &report["tiers"][2];
assert_eq!(top5["buy_value"], 2_939_500_000_000_i64);
assert_eq!(top5["sell_value"], 4_540_400_000_000_i64);
assert_eq!(top5["imbalance_bps"], -2426);
assert_eq!(report["top"], 5);
assert_eq!(report["imbalance_bps"], -2426);
assert_eq!(report["signal"], "big_distribution");
assert_eq!(
report["both_sides"],
serde_json::json!(["AK", "CC", "MG", "XL", "YU", "ZP"])
);
}
#[test]
fn bandar_screen_ranks_symbols_and_reports_failures_on_stderr() {
let output = mock_bin("bandar-screen")
.args([
"-o",
"json",
"stocks",
"bandar",
"BBCA,ZZZZ",
"TLKM",
"BBRI",
"--date",
"2026-10-16",
"--top",
"3",
])
.output()
.unwrap();
assert!(output.status.success(), "{output:?}");
let reports: Value = serde_json::from_slice(&output.stdout).unwrap();
let ranked: Vec<(&str, i64)> = reports
.as_array()
.unwrap()
.iter()
.map(|r| {
(
r["symbol"].as_str().unwrap(),
r["imbalance_bps"].as_i64().unwrap(),
)
})
.collect();
assert_eq!(ranked.len(), 3);
assert!(
ranked.windows(2).all(|pair| pair[0].1 >= pair[1].1),
"{ranked:?}"
);
assert!(reports.as_array().unwrap().iter().all(|r| r["top"] == 3));
let warning: Value = serde_json::from_slice(&output.stderr).expect("one JSON warning line");
assert_eq!(warning["level"], "warning");
assert!(warning["message"].as_str().unwrap().contains("ZZZZ.JK"));
// A one-symbol screen that loses a symbol still prints the screen table.
let table = run_success_stdout(mock_bin("bandar-screen-table").args([
"--no-color",
"stocks",
"bandar",
"BBCA,ZZZZ",
"--date",
"2026-10-16",
]));
assert!(table.contains("TOP 5 NET %"), "{table}");
}
#[test]
fn bandar_errors_follow_the_output_contract() {
let many: Vec<String> = (0..101).map(|i| format!("S{i}")).collect();
for (args, code) in [
(
vec!["BBCA".to_string(), "--top".into(), "4".into()],
"INVALIDINPUT",
),
(vec![many.join(",")], "INVALIDINPUT"),
(
vec!["ZZZZ".to_string(), "--date".into(), "2026-10-16".into()],
"SYMBOLNOTFOUND",
),
(
vec![
"BBCA,BBRI".to_string(),
"--date".into(),
"2999-01-01".into(),
],
"INVALIDINPUT",
),
] {
let mut cmd = mock_bin("bandar-errors");
cmd.args(["-o", "json", "stocks", "bandar"]).args(&args);
run_error_json(&mut cmd, code);
}
}

View file

@ -258,6 +258,15 @@ args = ["stocks", "broker", "BBCA", "--from", "2026-10-12", "--to", "2026-10-16"
name = "stocks-broker-no-trades"
args = ["stocks", "broker", "BBCA", "--date", "2026-10-17"]
[[case]]
name = "stocks-bandar"
args = ["stocks", "bandar", "BBCA", "--date", "2026-10-16"]
[[case]]
name = "stocks-bandar-screen"
formats = ["table", "json", "jsonl"]
args = ["stocks", "bandar", "BBCA,BBRI,TLKM", "--date", "2026-10-16", "--top", "3"]
[[case]]
name = "error-broker-unknown-symbol"
args = ["stocks", "broker", "ZZZZ", "--date", "2026-10-16"]

View file

@ -174,6 +174,9 @@ _idx() {
idx__help__ownership__resolve,unresolved)
cmd="idx__help__ownership__resolve__unresolved"
;;
idx__help__stocks,bandar)
cmd="idx__help__stocks__bandar"
;;
idx__help__stocks,broker)
cmd="idx__help__stocks__broker"
;;
@ -339,6 +342,9 @@ _idx() {
idx__ownership__resolve__help,unresolved)
cmd="idx__ownership__resolve__help__unresolved"
;;
idx__stocks,bandar)
cmd="idx__stocks__bandar"
;;
idx__stocks,broker)
cmd="idx__stocks__broker"
;;
@ -390,6 +396,9 @@ _idx() {
idx__stocks,valuation)
cmd="idx__stocks__valuation"
;;
idx__stocks__help,bandar)
cmd="idx__stocks__help__bandar"
;;
idx__stocks__help,broker)
cmd="idx__stocks__help__broker"
;;
@ -1200,7 +1209,7 @@ _idx() {
return 0
;;
idx__help__stocks)
opts="quote history technical growth valuation risk fundamental broker profile financials earnings sentiment insights news screen compare"
opts="quote history technical growth valuation risk fundamental broker bandar profile financials earnings sentiment insights news screen compare"
if [[ ${cur} == -* || ${COMP_CWORD} -eq 3 ]] ; then
COMPREPLY=( $(compgen -W "${opts}" -- "${cur}") )
return 0
@ -1213,6 +1222,20 @@ _idx() {
COMPREPLY=( $(compgen -W "${opts}" -- "${cur}") )
return 0
;;
idx__help__stocks__bandar)
opts=""
if [[ ${cur} == -* || ${COMP_CWORD} -eq 4 ]] ; then
COMPREPLY=( $(compgen -W "${opts}" -- "${cur}") )
return 0
fi
case "${prev}" in
*)
COMPREPLY=()
;;
esac
COMPREPLY=( $(compgen -W "${opts}" -- "${cur}") )
return 0
;;
idx__help__stocks__broker)
opts=""
if [[ ${cur} == -* || ${COMP_CWORD} -eq 4 ]] ; then
@ -2216,7 +2239,7 @@ _idx() {
return 0
;;
idx__stocks)
opts="-o -q -v -h --output --no-color --quiet --verbose --offline --no-cache --help quote history technical growth valuation risk fundamental broker profile financials earnings sentiment insights news screen compare help"
opts="-o -q -v -h --output --no-color --quiet --verbose --offline --no-cache --help quote history technical growth valuation risk fundamental broker bandar profile financials earnings sentiment insights news screen compare help"
if [[ ${cur} == -* || ${COMP_CWORD} -eq 2 ]] ; then
COMPREPLY=( $(compgen -W "${opts}" -- "${cur}") )
return 0
@ -2237,6 +2260,52 @@ _idx() {
COMPREPLY=( $(compgen -W "${opts}" -- "${cur}") )
return 0
;;
idx__stocks__bandar)
opts="-o -q -v -h --date --from --to --investor --board --top --output --no-color --quiet --verbose --offline --no-cache --help <SYMBOLS>..."
if [[ ${cur} == -* || ${COMP_CWORD} -eq 3 ]] ; then
COMPREPLY=( $(compgen -W "${opts}" -- "${cur}") )
return 0
fi
case "${prev}" in
--date)
COMPREPLY=($(compgen -f "${cur}"))
return 0
;;
--from)
COMPREPLY=($(compgen -f "${cur}"))
return 0
;;
--to)
COMPREPLY=($(compgen -f "${cur}"))
return 0
;;
--investor)
COMPREPLY=($(compgen -W "all foreign domestic" -- "${cur}"))
return 0
;;
--board)
COMPREPLY=($(compgen -W "all regular cash negotiated" -- "${cur}"))
return 0
;;
--top)
COMPREPLY=($(compgen -f "${cur}"))
return 0
;;
--output)
COMPREPLY=($(compgen -W "auto table json jsonl" -- "${cur}"))
return 0
;;
-o)
COMPREPLY=($(compgen -W "auto table json jsonl" -- "${cur}"))
return 0
;;
*)
COMPREPLY=()
;;
esac
COMPREPLY=( $(compgen -W "${opts}" -- "${cur}") )
return 0
;;
idx__stocks__broker)
opts="-o -q -v -h --date --from --to --investor --board --output --no-color --quiet --verbose --offline --no-cache --help <SYMBOL>"
if [[ ${cur} == -* || ${COMP_CWORD} -eq 3 ]] ; then
@ -2394,7 +2463,7 @@ _idx() {
return 0
;;
idx__stocks__help)
opts="quote history technical growth valuation risk fundamental broker profile financials earnings sentiment insights news screen compare help"
opts="quote history technical growth valuation risk fundamental broker bandar profile financials earnings sentiment insights news screen compare help"
if [[ ${cur} == -* || ${COMP_CWORD} -eq 3 ]] ; then
COMPREPLY=( $(compgen -W "${opts}" -- "${cur}") )
return 0
@ -2407,6 +2476,20 @@ _idx() {
COMPREPLY=( $(compgen -W "${opts}" -- "${cur}") )
return 0
;;
idx__stocks__help__bandar)
opts=""
if [[ ${cur} == -* || ${COMP_CWORD} -eq 4 ]] ; then
COMPREPLY=( $(compgen -W "${opts}" -- "${cur}") )
return 0
fi
case "${prev}" in
*)
COMPREPLY=()
;;
esac
COMPREPLY=( $(compgen -W "${opts}" -- "${cur}") )
return 0
;;
idx__stocks__help__broker)
opts=""
if [[ ${cur} == -* || ${COMP_CWORD} -eq 4 ]] ; then

View file

@ -13,6 +13,7 @@ Commands:
risk Run risk analysis on a stock
fundamental Run full fundamental analysis on a stock
broker Which brokers bought and sold a stock
bandar Bandarmology: is buying more concentrated than selling
profile Get company profile
financials Get financial statements
earnings Get earnings report

View file

@ -0,0 +1,4 @@
exit: 0
--- stdout
[{"symbol":"BBRI.JK","from":"2026-10-16","to":"2026-10-16","investor":"all","board":"all","method":"top_concentration_v1","top":3,"signal":"big_distribution","imbalance_bps":-1749,"tiers":[{"top":1,"buy_value":504300000000,"sell_value":1000000000000,"imbalance_value":-495700000000,"imbalance_bps":-1503,"buy_share_bps":1528,"sell_share_bps":3030,"buy_average":2709,"sell_average":2716,"signal":"big_distribution"},{"top":3,"buy_value":1262700000000,"sell_value":1839600000000,"imbalance_value":-576900000000,"imbalance_bps":-1749,"buy_share_bps":3826,"sell_share_bps":5574,"buy_average":2715,"sell_average":2705,"signal":"big_distribution"},{"top":5,"buy_value":1737100000000,"sell_value":2283000000000,"imbalance_value":-545900000000,"imbalance_bps":-1655,"buy_share_bps":5263,"sell_share_bps":6918,"buy_average":2711,"sell_average":2707,"signal":"big_distribution"},{"top":10,"buy_value":2337100000000,"sell_value":2773100000000,"imbalance_value":-436000000000,"imbalance_bps":-1322,"buy_share_bps":7082,"sell_share_bps":8403,"buy_average":2709,"sell_average":2708,"signal":"distribution"}],"total_value":3300000000000,"average_price":2708,"foreign_net_value":-1100000000000,"foreign_net_bps":-3334,"both_sides":["AK","CC","NI","XL","YP","YU"],"rounded":true},{"symbol":"TLKM.JK","from":"2026-10-16","to":"2026-10-16","investor":"all","board":"all","method":"top_concentration_v1","top":3,"signal":"big_distribution","imbalance_bps":-1994,"tiers":[{"top":1,"buy_value":381600000000,"sell_value":721600000000,"imbalance_value":-340000000000,"imbalance_bps":-1546,"buy_share_bps":1734,"sell_share_bps":3280,"buy_average":1960,"sell_average":1933,"signal":"big_distribution"},{"top":3,"buy_value":949100000000,"sell_value":1387700000000,"imbalance_value":-438600000000,"imbalance_bps":-1994,"buy_share_bps":4314,"sell_share_bps":6307,"buy_average":1939,"sell_average":1931,"signal":"big_distribution"},{"top":5,"buy_value":1341400000000,"sell_value":1722500000000,"imbalance_value":-381100000000,"imbalance_bps":-1733,"buy_share_bps":6097,"sell_share_bps":7829,"buy_average":1938,"sell_average":1932,"signal":"big_distribution"},{"top":10,"buy_value":1869600000000,"sell_value":1992600000000,"imbalance_value":-123000000000,"imbalance_bps":-560,"buy_share_bps":8498,"sell_share_bps":9057,"buy_average":1932,"sell_average":1930,"signal":"distribution"}],"total_value":2200000000000,"average_price":1931,"foreign_net_value":-90200000000,"foreign_net_bps":-410,"both_sides":["AK","BK","CC","KZ","MG","XL","YP","YU","ZP"],"rounded":true},{"symbol":"BBCA.JK","from":"2026-10-16","to":"2026-10-16","investor":"all","board":"all","method":"top_concentration_v1","top":3,"signal":"big_distribution","imbalance_bps":-2914,"tiers":[{"top":1,"buy_value":841200000000,"sell_value":2200000000000,"imbalance_value":-1358800000000,"imbalance_bps":-2059,"buy_share_bps":1274,"sell_share_bps":3333,"buy_average":5191,"sell_average":5211,"signal":"big_distribution"},{"top":3,"buy_value":1984700000000,"sell_value":3907600000000,"imbalance_value":-1922900000000,"imbalance_bps":-2914,"buy_share_bps":3007,"sell_share_bps":5920,"buy_average":5212,"sell_average":5233,"signal":"big_distribution"},{"top":5,"buy_value":2939500000000,"sell_value":4540400000000,"imbalance_value":-1600900000000,"imbalance_bps":-2426,"buy_share_bps":4453,"sell_share_bps":6879,"buy_average":5211,"sell_average":5229,"signal":"big_distribution"},{"top":10,"buy_value":4477100000000,"sell_value":5551800000000,"imbalance_value":-1074700000000,"imbalance_bps":-1629,"buy_share_bps":6783,"sell_share_bps":8411,"buy_average":5213,"sell_average":5228,"signal":"big_distribution"}],"total_value":6600000000000,"average_price":5228,"foreign_net_value":-2300000000000,"foreign_net_bps":-3485,"both_sides":["AK","CC","MG","XL","YU","ZP"],"rounded":true}]
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--- stdout
{"symbol":"BBRI.JK","from":"2026-10-16","to":"2026-10-16","investor":"all","board":"all","method":"top_concentration_v1","top":3,"signal":"big_distribution","imbalance_bps":-1749,"tiers":[{"top":1,"buy_value":504300000000,"sell_value":1000000000000,"imbalance_value":-495700000000,"imbalance_bps":-1503,"buy_share_bps":1528,"sell_share_bps":3030,"buy_average":2709,"sell_average":2716,"signal":"big_distribution"},{"top":3,"buy_value":1262700000000,"sell_value":1839600000000,"imbalance_value":-576900000000,"imbalance_bps":-1749,"buy_share_bps":3826,"sell_share_bps":5574,"buy_average":2715,"sell_average":2705,"signal":"big_distribution"},{"top":5,"buy_value":1737100000000,"sell_value":2283000000000,"imbalance_value":-545900000000,"imbalance_bps":-1655,"buy_share_bps":5263,"sell_share_bps":6918,"buy_average":2711,"sell_average":2707,"signal":"big_distribution"},{"top":10,"buy_value":2337100000000,"sell_value":2773100000000,"imbalance_value":-436000000000,"imbalance_bps":-1322,"buy_share_bps":7082,"sell_share_bps":8403,"buy_average":2709,"sell_average":2708,"signal":"distribution"}],"total_value":3300000000000,"average_price":2708,"foreign_net_value":-1100000000000,"foreign_net_bps":-3334,"both_sides":["AK","CC","NI","XL","YP","YU"],"rounded":true}
{"symbol":"TLKM.JK","from":"2026-10-16","to":"2026-10-16","investor":"all","board":"all","method":"top_concentration_v1","top":3,"signal":"big_distribution","imbalance_bps":-1994,"tiers":[{"top":1,"buy_value":381600000000,"sell_value":721600000000,"imbalance_value":-340000000000,"imbalance_bps":-1546,"buy_share_bps":1734,"sell_share_bps":3280,"buy_average":1960,"sell_average":1933,"signal":"big_distribution"},{"top":3,"buy_value":949100000000,"sell_value":1387700000000,"imbalance_value":-438600000000,"imbalance_bps":-1994,"buy_share_bps":4314,"sell_share_bps":6307,"buy_average":1939,"sell_average":1931,"signal":"big_distribution"},{"top":5,"buy_value":1341400000000,"sell_value":1722500000000,"imbalance_value":-381100000000,"imbalance_bps":-1733,"buy_share_bps":6097,"sell_share_bps":7829,"buy_average":1938,"sell_average":1932,"signal":"big_distribution"},{"top":10,"buy_value":1869600000000,"sell_value":1992600000000,"imbalance_value":-123000000000,"imbalance_bps":-560,"buy_share_bps":8498,"sell_share_bps":9057,"buy_average":1932,"sell_average":1930,"signal":"distribution"}],"total_value":2200000000000,"average_price":1931,"foreign_net_value":-90200000000,"foreign_net_bps":-410,"both_sides":["AK","BK","CC","KZ","MG","XL","YP","YU","ZP"],"rounded":true}
{"symbol":"BBCA.JK","from":"2026-10-16","to":"2026-10-16","investor":"all","board":"all","method":"top_concentration_v1","top":3,"signal":"big_distribution","imbalance_bps":-2914,"tiers":[{"top":1,"buy_value":841200000000,"sell_value":2200000000000,"imbalance_value":-1358800000000,"imbalance_bps":-2059,"buy_share_bps":1274,"sell_share_bps":3333,"buy_average":5191,"sell_average":5211,"signal":"big_distribution"},{"top":3,"buy_value":1984700000000,"sell_value":3907600000000,"imbalance_value":-1922900000000,"imbalance_bps":-2914,"buy_share_bps":3007,"sell_share_bps":5920,"buy_average":5212,"sell_average":5233,"signal":"big_distribution"},{"top":5,"buy_value":2939500000000,"sell_value":4540400000000,"imbalance_value":-1600900000000,"imbalance_bps":-2426,"buy_share_bps":4453,"sell_share_bps":6879,"buy_average":5211,"sell_average":5229,"signal":"big_distribution"},{"top":10,"buy_value":4477100000000,"sell_value":5551800000000,"imbalance_value":-1074700000000,"imbalance_bps":-1629,"buy_share_bps":6783,"sell_share_bps":8411,"buy_average":5213,"sell_average":5228,"signal":"big_distribution"}],"total_value":6600000000000,"average_price":5228,"foreign_net_value":-2300000000000,"foreign_net_bps":-3485,"both_sides":["AK","CC","MG","XL","YU","ZP"],"rounded":true}
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--- stdout
┌─────────┬────────────┬──────────────────┬─────────────┬───────────┬────────────┬───────┬─────────────┐
│ SYMBOL ┆ DATES ┆ SIGNAL ┆ TOP 3 NET % ┆ BUY SHARE ┆ SELL SHARE ┆ VALUE ┆ FOREIGN NET │
╞═════════╪════════════╪══════════════════╪═════════════╪═══════════╪════════════╪═══════╪═════════════╡
│ BBRI.JK ┆ 2026-10-16 ┆ big distribution ┆ -17.5% ┆ 38.3% ┆ 55.7% ┆ 3.3T ┆ -1.1T │
├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌┤
│ TLKM.JK ┆ 2026-10-16 ┆ big distribution ┆ -19.9% ┆ 43.1% ┆ 63.1% ┆ 2.2T ┆ -90.2B │
├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌┤
│ BBCA.JK ┆ 2026-10-16 ┆ big distribution ┆ -29.1% ┆ 30.1% ┆ 59.2% ┆ 6.6T ┆ -2.3T │
└─────────┴────────────┴──────────────────┴─────────────┴───────────┴────────────┴───────┴─────────────┘
Method top_concentration_v1: the top 3 buyers' value minus the top 3 sellers' value, as a share of value traded; 5% or more reads accumulation, 15% or more big (negative: distribution). Brokers trade for many clients, so this is a heuristic, not advice.
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[{"symbol":"BBCA.JK","from":"2026-10-16","to":"2026-10-16","investor":"all","board":"all","method":"top_concentration_v1","top":5,"signal":"big_distribution","imbalance_bps":-2426,"tiers":[{"top":1,"buy_value":841200000000,"sell_value":2200000000000,"imbalance_value":-1358800000000,"imbalance_bps":-2059,"buy_share_bps":1274,"sell_share_bps":3333,"buy_average":5191,"sell_average":5211,"signal":"big_distribution"},{"top":3,"buy_value":1984700000000,"sell_value":3907600000000,"imbalance_value":-1922900000000,"imbalance_bps":-2914,"buy_share_bps":3007,"sell_share_bps":5920,"buy_average":5212,"sell_average":5233,"signal":"big_distribution"},{"top":5,"buy_value":2939500000000,"sell_value":4540400000000,"imbalance_value":-1600900000000,"imbalance_bps":-2426,"buy_share_bps":4453,"sell_share_bps":6879,"buy_average":5211,"sell_average":5229,"signal":"big_distribution"},{"top":10,"buy_value":4477100000000,"sell_value":5551800000000,"imbalance_value":-1074700000000,"imbalance_bps":-1629,"buy_share_bps":6783,"sell_share_bps":8411,"buy_average":5213,"sell_average":5228,"signal":"big_distribution"}],"total_value":6600000000000,"average_price":5228,"foreign_net_value":-2300000000000,"foreign_net_bps":-3485,"both_sides":["AK","CC","MG","XL","YU","ZP"],"rounded":true}]
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--- stdout
Bandar reading for BBCA.JK, 2026-10-16
Signal (top 5): big distribution, -24.3% of value
┌─────┬────────┬──────┬───────┬────────┬─────────┬──────────┬──────────────────┐
│ TOP ┆ BUY ┆ SELL ┆ NET ┆ NET % ┆ BUY AVG ┆ SELL AVG ┆ SIGNAL │
╞═════╪════════╪══════╪═══════╪════════╪═════════╪══════════╪══════════════════╡
│ 1 ┆ 841.2B ┆ 2.2T ┆ -1.4T ┆ -20.6% ┆ 5,191 ┆ 5,211 ┆ big distribution │
├╌╌╌╌╌┼╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
│ 3 ┆ 2.0T ┆ 3.9T ┆ -1.9T ┆ -29.1% ┆ 5,212 ┆ 5,233 ┆ big distribution │
├╌╌╌╌╌┼╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
│ 5 ┆ 2.9T ┆ 4.5T ┆ -1.6T ┆ -24.3% ┆ 5,211 ┆ 5,229 ┆ big distribution │
├╌╌╌╌╌┼╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌┼╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
│ 10 ┆ 4.5T ┆ 5.6T ┆ -1.1T ┆ -16.3% ┆ 5,213 ┆ 5,228 ┆ big distribution │
└─────┴────────┴──────┴───────┴────────┴─────────┴──────────┴──────────────────┘
Total 6.6T IDR, average 5,228; foreign net -2.3T (-34.9% of value).
On both sides: AK, CC, MG, XL, YU, ZP; their gross figures overstate which way they traded.
Method top_concentration_v1: the top 5 buyers' value minus the top 5 sellers' value, as a share of value traded; 5% or more reads accumulation, 15% or more big (negative: distribution). Brokers trade for many clients, so this is a heuristic, not advice.
Note: the source rounds figures of a million and more to one decimal.
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//! Bandarmology over a broker summary: is buying more concentrated in a few
//! brokers than selling? No network; see docs/ARCHITECTURE.md.
//!
//! The summary lists the top 10 buyers and the top 10 sellers by gross lots.
//! For N in 1, 3, 5 and 10 the top N buyers' value is set against the top N
//! sellers' value, as a share of the value traded:
//!
//! | top-N buy - sell value, % of value | signal |
//! |------------------------------------|--------------------|
//! | >= +15 | `big_accumulation` |
//! | +5 to +15 | `accumulation` |
//! | within +-5 | `neutral` |
//! | -15 to -5 | `distribution` |
//! | <= -15 | `big_distribution` |
//!
//! The thresholds follow fzn0x/idx (MIT), which set them against the 40 most
//! traded IDX stocks in October 2026. They are heuristics: a broker code is
//! not an investor, and gross figures overstate a broker that both bought
//! and sold (listed in `both_sides`).
use serde::{Deserialize, Serialize};
use crate::broker::types::{BrokerBoard, BrokerFlow, BrokerInvestor, BrokerSummary};
use crate::error::IdxError;
use chrono::NaiveDate;
/// Names the rules below; bumped when they change.
pub const METHOD: &str = "top_concentration_v1";
/// Tiers every report carries.
pub const TIERS: [u8; 4] = [1, 3, 5, 10];
/// Tier behind the headline signal unless asked otherwise.
pub const DEFAULT_TOP: u8 = 5;
/// Imbalance, in basis points of value traded, from which a tier reads
/// accumulation (or, negative, distribution).
pub const ACCUMULATION_BPS: i64 = 500;
/// Imbalance from which the reading is big.
pub const BIG_BPS: i64 = 1500;
#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
#[serde(rename_all = "snake_case")]
pub enum BandarSignal {
BigAccumulation,
Accumulation,
Neutral,
Distribution,
BigDistribution,
}
impl BandarSignal {
pub fn as_str(self) -> &'static str {
match self {
Self::BigAccumulation => "big_accumulation",
Self::Accumulation => "accumulation",
Self::Neutral => "neutral",
Self::Distribution => "distribution",
Self::BigDistribution => "big_distribution",
}
}
pub fn from_imbalance_bps(bps: i64) -> Self {
match bps {
b if b >= BIG_BPS => Self::BigAccumulation,
b if b >= ACCUMULATION_BPS => Self::Accumulation,
b if b <= -BIG_BPS => Self::BigDistribution,
b if b <= -ACCUMULATION_BPS => Self::Distribution,
_ => Self::Neutral,
}
}
}
/// The top N buyers against the top N sellers. Every figure is `None` when
/// a broker in the tier lacks it, or when nothing traded.
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub struct BandarTier {
pub top: u8,
/// Value the top N buyers bought, whole IDR.
pub buy_value: Option<i64>,
/// Value the top N sellers sold, whole IDR.
pub sell_value: Option<i64>,
/// `buy_value - sell_value`, whole IDR.
pub imbalance_value: Option<i64>,
/// `imbalance_value` in basis points of the value traded.
pub imbalance_bps: Option<i64>,
/// The top N buyers' share of the value traded, basis points.
pub buy_share_bps: Option<i64>,
/// The top N sellers' share of the value traded, basis points.
pub sell_share_bps: Option<i64>,
/// Volume-weighted average price the top N buyers paid, whole IDR.
pub buy_average: Option<i64>,
/// Volume-weighted average price the top N sellers got, whole IDR.
pub sell_average: Option<i64>,
pub signal: Option<BandarSignal>,
}
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub struct BandarReport {
pub symbol: String,
pub from: NaiveDate,
pub to: NaiveDate,
pub investor: BrokerInvestor,
pub board: BrokerBoard,
/// The rules applied, e.g. `top_concentration_v1`.
pub method: String,
/// Tier behind the headline `signal`.
pub top: u8,
/// The headline tier's signal; `None` when nothing traded or a figure
/// is missing.
pub signal: Option<BandarSignal>,
/// The headline tier's imbalance, basis points of value traded.
pub imbalance_bps: Option<i64>,
pub tiers: Vec<BandarTier>,
/// Value traded over the range, whole IDR.
pub total_value: Option<i64>,
/// Average traded price, whole IDR.
pub average_price: Option<i64>,
/// Foreign net value, whole IDR; `None` for a filtered summary.
pub foreign_net_value: Option<i64>,
/// `foreign_net_value` in basis points of the value traded.
pub foreign_net_bps: Option<i64>,
/// Brokers among the top 10 on both sides, whose gross figures overstate
/// which way they traded.
pub both_sides: Vec<String>,
/// The source rounded figures of a million and more to one decimal.
pub rounded: bool,
}
/// The headline tier must be one the report carries.
pub fn check_top(top: u8) -> Result<u8, IdxError> {
if TIERS.contains(&top) {
Ok(top)
} else {
Err(IdxError::InvalidInput(format!(
"top must be 1, 3, 5 or 10 (got {top})"
)))
}
}
/// `part` in basis points of `whole`; `None` without a positive whole.
fn bps(part: i64, whole: Option<i64>) -> Option<i64> {
let whole = whole.filter(|whole| *whole > 0)?;
i64::try_from((i128::from(part) * 10_000).div_euclid(i128::from(whole))).ok()
}
/// Sum of `field` over `flows`; `None` when any flow lacks it.
fn sum(flows: &[BrokerFlow], field: fn(&BrokerFlow) -> Option<i64>) -> Option<i64> {
flows
.iter()
.try_fold(0_i64, |total, flow| total.checked_add(field(flow)?))
}
/// Value over shares, the shares taken from each broker's value and its
/// exact published average (lots of a million and more are rounded,
/// averages never are).
fn vwap(flows: &[BrokerFlow]) -> Option<i64> {
let (mut value, mut shares) = (0.0_f64, 0.0_f64);
for flow in flows {
let (flow_value, average) = (flow.value?, flow.average_price?);
if average <= 0 {
return None;
}
value += flow_value as f64;
shares += flow_value as f64 / average as f64;
}
(shares > 0.0).then(|| (value / shares).round() as i64)
}
pub fn bandar_tier(summary: &BrokerSummary, top: u8) -> BandarTier {
let n = usize::from(top);
let buyers = &summary.buyers[..n.min(summary.buyers.len())];
let sellers = &summary.sellers[..n.min(summary.sellers.len())];
let buy_value = sum(buyers, |flow| flow.value);
let sell_value = sum(sellers, |flow| flow.value);
let imbalance_value = buy_value
.zip(sell_value)
.and_then(|(buy, sell)| buy.checked_sub(sell));
let imbalance_bps = imbalance_value.and_then(|value| bps(value, summary.total_value));
BandarTier {
top,
buy_value,
sell_value,
imbalance_value,
imbalance_bps,
buy_share_bps: buy_value.and_then(|value| bps(value, summary.total_value)),
sell_share_bps: sell_value.and_then(|value| bps(value, summary.total_value)),
buy_average: vwap(buyers),
sell_average: vwap(sellers),
signal: imbalance_bps.map(BandarSignal::from_imbalance_bps),
}
}
/// The full reading of one summary, headlined by the top `top` tier (one of
/// [`TIERS`]; see [`check_top`]).
pub fn analyze_bandar(summary: &BrokerSummary, top: u8) -> BandarReport {
let tiers: Vec<BandarTier> = TIERS.iter().map(|n| bandar_tier(summary, *n)).collect();
let headline = tiers
.iter()
.find(|tier| tier.top == top)
.cloned()
.unwrap_or_else(|| bandar_tier(summary, top));
let mut both_sides: Vec<String> = summary
.buyers
.iter()
.filter(|buyer| {
summary
.sellers
.iter()
.any(|seller| seller.code == buyer.code)
})
.map(|buyer| buyer.code.clone())
.collect();
both_sides.sort_unstable();
BandarReport {
symbol: summary.symbol.clone(),
from: summary.from,
to: summary.to,
investor: summary.investor,
board: summary.board,
method: METHOD.to_string(),
top,
signal: headline.signal,
imbalance_bps: headline.imbalance_bps,
tiers,
total_value: summary.total_value,
average_price: summary.average_price,
foreign_net_value: summary.foreign_net_value,
foreign_net_bps: summary
.foreign_net_value
.and_then(|value| bps(value, summary.total_value)),
both_sides,
rounded: summary.rounded,
}
}
#[cfg(test)]
mod tests {
use super::*;
fn flow(code: &str, value: Option<i64>, average: i64) -> BrokerFlow {
BrokerFlow {
rank: 0,
code: code.to_string(),
name: None,
kind: None,
lots: value.map(|value| value / average / 100),
value,
average_price: Some(average),
}
}
fn summary(buyers: Vec<BrokerFlow>, sellers: Vec<BrokerFlow>, total: i64) -> BrokerSummary {
let day = NaiveDate::from_ymd_opt(2026, 10, 16).unwrap();
BrokerSummary {
symbol: "TEST.JK".to_string(),
from: day,
to: day,
investor: BrokerInvestor::All,
board: BrokerBoard::All,
buyers,
sellers,
total_value: Some(total),
total_lots: None,
average_price: None,
foreign_net_value: Some(-total / 10),
rounded: false,
}
}
#[test]
fn test_bandar_signal_thresholds_are_inclusive() {
use BandarSignal::*;
for (bps, signal) in [
(1500, BigAccumulation),
(1499, Accumulation),
(500, Accumulation),
(499, Neutral),
(-499, Neutral),
(-500, Distribution),
(-1499, Distribution),
(-1500, BigDistribution),
] {
assert_eq!(BandarSignal::from_imbalance_bps(bps), signal, "{bps}");
}
}
#[test]
fn test_analyze_bandar_weighs_top_buyers_against_top_sellers() {
let s = summary(
vec![
flow("AA", Some(400), 100),
flow("BB", Some(200), 100),
flow("CC", Some(100), 50),
],
vec![
flow("DD", Some(300), 110),
flow("AA", Some(100), 110),
flow("EE", Some(50), 110),
],
1000,
);
let report = analyze_bandar(&s, 3);
let top1 = &report.tiers[0];
assert_eq!((top1.top, top1.imbalance_value), (1, Some(100)));
assert_eq!(top1.imbalance_bps, Some(1000));
assert_eq!(top1.signal, Some(BandarSignal::Accumulation));
let top3 = &report.tiers[1];
assert_eq!((top3.buy_value, top3.sell_value), (Some(700), Some(450)));
assert_eq!(
(top3.buy_share_bps, top3.sell_share_bps),
(Some(7000), Some(4500))
);
assert_eq!(top3.imbalance_bps, Some(2500));
// 700 IDR over 4 + 2 + 2 shares.
assert_eq!(top3.buy_average, Some(88));
assert_eq!(top3.sell_average, Some(110));
// Short lists: every broker on a side is listed, so the sums hold.
assert_eq!(report.tiers[3].imbalance_value, Some(250));
assert_eq!(
(report.top, report.signal),
(3, Some(BandarSignal::BigAccumulation))
);
assert_eq!(report.imbalance_bps, Some(2500));
assert_eq!(report.foreign_net_bps, Some(-1000));
assert_eq!(report.both_sides, vec!["AA".to_string()]);
assert_eq!(report.method, METHOD);
}
#[test]
fn test_analyze_bandar_never_counts_a_missing_figure_as_zero() {
let s = summary(
vec![flow("AA", Some(400), 100), flow("BB", None, 100)],
vec![flow("DD", Some(300), 100)],
1000,
);
let report = analyze_bandar(&s, 3);
assert_eq!(report.tiers[0].imbalance_bps, Some(1000));
let top3 = &report.tiers[1];
assert_eq!(
(top3.buy_value, top3.imbalance_bps, top3.signal),
(None, None, None)
);
assert_eq!(top3.buy_average, None);
assert_eq!(report.signal, None);
}
#[test]
fn test_analyze_bandar_without_trades_has_no_signal() {
let report = analyze_bandar(&summary(vec![], vec![], 0), DEFAULT_TOP);
assert!(report.tiers.iter().all(|tier| tier.signal.is_none()));
assert_eq!((report.signal, report.imbalance_bps), (None, None));
assert_eq!(report.tiers[2].buy_value, Some(0));
}
#[test]
fn test_check_top_allows_only_report_tiers() {
assert_eq!(check_top(5).unwrap(), 5);
assert!(matches!(check_top(4), Err(IdxError::InvalidInput(_))));
}
}

View file

@ -1,3 +1,4 @@
pub mod bandar;
pub mod fundamental;
pub mod report;
pub mod signals;
@ -8,9 +9,11 @@ use serde::de::DeserializeOwned;
use crate::api::history_provider;
use crate::api::types::{Fundamentals, Interval, Period};
use crate::broker::types::{BrokerBoard, BrokerInvestor, BrokerRange};
use crate::client::{CachePolicy, CacheSpec, Fetched, Idx, cached_fetch};
use crate::error::IdxError;
use crate::market::HistorySource;
use bandar::{BandarReport, analyze_bandar, check_top};
use fundamental::{
FundamentalReport, GrowthReport, RiskReport, ValuationReport, analyze_fundamental,
analyze_growth, analyze_risk, analyze_valuation,
@ -28,7 +31,69 @@ pub struct Comparison {
pub failures: Vec<(String, IdxError)>,
}
/// Bandar readings for several symbols, strongest accumulation first;
/// symbols that failed are listed with their error.
pub struct BandarScreen {
pub reports: Vec<Fetched<BandarReport>>,
pub failures: Vec<(String, IdxError)>,
}
/// The sessions and trades a bandar reading covers.
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub struct BandarQuery {
pub range: BrokerRange,
pub investor: BrokerInvestor,
pub board: BrokerBoard,
/// Headline tier, one of `bandar::TIERS`.
pub top: u8,
}
impl Analysis<'_> {
/// Bandarmology over the broker summary `query` selects.
pub fn bandar(
&self,
symbol: &str,
query: &BandarQuery,
policy: CachePolicy,
) -> Result<Fetched<BandarReport>, IdxError> {
let top = check_top(query.top)?;
let summary =
self.idx
.broker()
.fetch(symbol, query.range, query.investor, query.board, policy)?;
Ok(summary.map(|summary| analyze_bandar(&summary, top)))
}
/// [`Self::bandar`] for each symbol, ranked by the headline imbalance.
/// Invalid input fails the whole screen; other errors fail one symbol.
pub fn bandar_screen<S: AsRef<str>>(
&self,
symbols: &[S],
query: &BandarQuery,
policy: CachePolicy,
) -> Result<BandarScreen, IdxError> {
check_top(query.top)?;
let mut reports = Vec::new();
let mut failures = Vec::new();
for symbol in symbols {
let resolved = self.idx.resolve(symbol.as_ref())?;
match self.bandar(&resolved, query, policy) {
Ok(report) => reports.push(report),
Err(err @ IdxError::InvalidInput(_)) => return Err(err),
Err(err) => failures.push((resolved, err)),
}
}
if reports.is_empty() {
return Err(failures
.pop()
.map(|(_, err)| err)
.unwrap_or_else(|| IdxError::InvalidInput("no symbols to screen".to_string())));
}
// Strongest accumulation first; readings without an imbalance last.
reports.sort_by_key(|report| std::cmp::Reverse(report.data.imbalance_bps));
Ok(BandarScreen { reports, failures })
}
/// Technical analysis over one year of daily history from `source`
/// (see `Market::history_source`).
pub fn technical(

View file

@ -0,0 +1,181 @@
<div id="modContentBrokerSum"></div>
<!--DATA BROKER SUMMARY-->
<div class="pa5">
<div class="row mincol-3">
<div class="col col-xs-5 col-sm-3">
<input class="form-control input-xs text-center" id="startDateBrokerSummary" name="startDate" placeholder="DD Month YYYY" value="10/16/2026" type="text">
</div>
<div class="col col-xs-5 col-sm-3">
<input class="form-control input-xs text-center" id="endDateBrokerSummary" name="endDate" placeholder="DD Month YYYY" value="10/16/2026" type="text">
</div>
<div class="mt15 visible-xs">&nbsp;</div>
<div class="col col-xs-5 col-sm-3">
<select class="form-control input-xs" id="FDBrokerSummary">
<option value="all">All</option>
<option value="F" >Foreign</option>
<option value="D" >Domestic</option>
</select>
</div>
<div class="col col-xs-5 col-sm-2">
<select class="form-control input-xs" id="boardBrokerSummary">
<option value="all">All Trade</option>
<option value="RG" >Regular</option>
<option value="TN" >Tunai</option>
<option value="NG" >Nego</option>
</select>
</div>
<div class="col col-xs-2 col-sm-1">
<button type="button" class="btn btn-default btn-block btn-xs-input" onClick="quickinfo_brokersummary($('#stockPageCode').val()!==undefined?$('#stockPageCode').val():$('#stockInfoCode').val(),$('#startDateBrokerSummary').val(),$('#endDateBrokerSummary').val(),$('#FDBrokerSummary').val(),$('#boardBrokerSummary').val());">GO</button>
</div>
</div>
</div>
<div class="table-responsive">
<table width="100%" border="0" cellspacing="0" cellpadding="0" class="table table-summary table-hover noborder nm">
<thead>
<tr>
<th align="center">Buyer</th>
<th align="right">B.Lot</th>
<th align="right">B.Val</th>
<th align="right">B.Avg</th>
<th align="center">#</th>
<th align="center">Seller</th>
<th align="right">S.Lot</th>
<th align="right">S.Val</th>
<th align="right">S.Avg</th>
</tr>
</thead>
<tbody>
<tr>
<td align="center"><span class="text-bumn">CC</span></td>
<td align="right"><span class="text-up">1.9 M</span></td>
<td align="right"><span class="text-up">504.3 B</span></td>
<td align="right"><span class="text-up">2,709 </span></td>
<td align="center">1</td>
<td align="center"><span class="text-foreign">AK</span></td>
<td align="right"><span class="text-down">3.7 M</span></td>
<td align="right"><span class="text-down">1.0 T</span></td>
<td align="right"><span class="text-down">2,716 </span></td>
</tr>
<tr>
<td align="center"><span class="text-local">XL</span></td>
<td align="right"><span class="text-up">1.6 M</span></td>
<td align="right"><span class="text-up">436.0 B</span></td>
<td align="right"><span class="text-up">2,720 </span></td>
<td align="center">2</td>
<td align="center"><span class="text-foreign">KZ</span></td>
<td align="right"><span class="text-down">1.8 M</span></td>
<td align="right"><span class="text-down">481.4 B</span></td>
<td align="right"><span class="text-down">2,672 </span></td>
</tr>
<tr>
<td align="center"><span class="text-foreign">AK</span></td>
<td align="right"><span class="text-up">1.2 M</span></td>
<td align="right"><span class="text-up">322.4 B</span></td>
<td align="right"><span class="text-up">2,719 </span></td>
<td align="center">3</td>
<td align="center"><span class="text-bumn">CC</span></td>
<td align="right"><span class="text-down">1.3 M</span></td>
<td align="right"><span class="text-down">358.2 B</span></td>
<td align="right"><span class="text-down">2,717 </span></td>
</tr>
<tr>
<td align="center"><span class="text-foreign">YP</span></td>
<td align="right"><span class="text-up">1.0 M</span></td>
<td align="right"><span class="text-up">281.3 B</span></td>
<td align="right"><span class="text-up">2,694 </span></td>
<td align="center">4</td>
<td align="center"><span class="text-foreign">BK</span></td>
<td align="right"><span class="text-down">933,299 </span></td>
<td align="right"><span class="text-down">253.5 B</span></td>
<td align="right"><span class="text-down">2,716 </span></td>
</tr>
<tr>
<td align="center"><span class="text-local">SQ</span></td>
<td align="right"><span class="text-up">712,722 </span></td>
<td align="right"><span class="text-up">193.1 B</span></td>
<td align="right"><span class="text-up">2,709 </span></td>
<td align="center">5</td>
<td align="center"><span class="text-local">XL</span></td>
<td align="right"><span class="text-down">697,845 </span></td>
<td align="right"><span class="text-down">189.9 B</span></td>
<td align="right"><span class="text-down">2,721 </span></td>
</tr>
<tr>
<td align="center"><span class="text-bumn">OD</span></td>
<td align="right"><span class="text-up">518,938 </span></td>
<td align="right"><span class="text-up">140.6 B</span></td>
<td align="right"><span class="text-up">2,709 </span></td>
<td align="center">6</td>
<td align="center"><span class="text-foreign">ZP</span></td>
<td align="right"><span class="text-down">477,399 </span></td>
<td align="right"><span class="text-down">129.4 B</span></td>
<td align="right"><span class="text-down">2,711 </span></td>
</tr>
<tr>
<td align="center"><span class="text-bumn">NI</span></td>
<td align="right"><span class="text-up">496,800 </span></td>
<td align="right"><span class="text-up">133.9 B</span></td>
<td align="right"><span class="text-up">2,695 </span></td>
<td align="center">7</td>
<td align="center"><span class="text-foreign">YU</span></td>
<td align="right"><span class="text-down">447,840 </span></td>
<td align="right"><span class="text-down">120.9 B</span></td>
<td align="right"><span class="text-down">2,700 </span></td>
</tr>
<tr>
<td align="center"><span class="text-foreign">YU</span></td>
<td align="right"><span class="text-up">420,264 </span></td>
<td align="right"><span class="text-up">112.3 B</span></td>
<td align="right"><span class="text-up">2,672 </span></td>
<td align="center">8</td>
<td align="center"><span class="text-foreign">YP</span></td>
<td align="right"><span class="text-down">431,663 </span></td>
<td align="right"><span class="text-down">117.6 B</span></td>
<td align="right"><span class="text-down">2,725 </span></td>
</tr>
<tr>
<td align="center"><span class="text-local">PD</span></td>
<td align="right"><span class="text-up">403,468 </span></td>
<td align="right"><span class="text-up">109.5 B</span></td>
<td align="right"><span class="text-up">2,713 </span></td>
<td align="center">9</td>
<td align="center"><span class="text-bumn">NI</span></td>
<td align="right"><span class="text-down">234,641 </span></td>
<td align="right"><span class="text-down">63.1 B</span></td>
<td align="right"><span class="text-down">2,690 </span></td>
</tr>
<tr>
<td align="center"><span class="text-local">XC</span></td>
<td align="right"><span class="text-up">381,871 </span></td>
<td align="right"><span class="text-up">103.7 B</span></td>
<td align="right"><span class="text-up">2,717 </span></td>
<td align="center">10</td>
<td align="center"><span class="text-local">XA</span></td>
<td align="right"><span class="text-down">217,888 </span></td>
<td align="right"><span class="text-down">59.1 B</span></td>
<td align="right"><span class="text-down">2,714 </span></td>
</tr>
</tbody>
<tfoot>
<tr class="bdr-t">
<th colspan="9" align="center">
<div class="text-center pt20 valign-middle" style="height:50px;">
<span class="fsize12 ml5 mr5">T. Val : 3.3 T</span>
<span class="fsize12 ml5 mr5">F. NVal : -1.1 T</span>
<span class="fsize12 ml5 mr5">T.Lot : 12.2 M</span>
<span class="fsize12 ml5 mr5">Avg : 2,708 </span>
</div>
</th>
</tr>
</tfoot>
</table>
</div>
<!-- =======================
======SCRIPT MODULE=========
============================-->
<script src="../../../../module/saham/include/js/data-brokersummary.js"></script>

View file

@ -0,0 +1,181 @@
<div id="modContentBrokerSum"></div>
<!--DATA BROKER SUMMARY-->
<div class="pa5">
<div class="row mincol-3">
<div class="col col-xs-5 col-sm-3">
<input class="form-control input-xs text-center" id="startDateBrokerSummary" name="startDate" placeholder="DD Month YYYY" value="10/16/2026" type="text">
</div>
<div class="col col-xs-5 col-sm-3">
<input class="form-control input-xs text-center" id="endDateBrokerSummary" name="endDate" placeholder="DD Month YYYY" value="10/16/2026" type="text">
</div>
<div class="mt15 visible-xs">&nbsp;</div>
<div class="col col-xs-5 col-sm-3">
<select class="form-control input-xs" id="FDBrokerSummary">
<option value="all">All</option>
<option value="F" >Foreign</option>
<option value="D" >Domestic</option>
</select>
</div>
<div class="col col-xs-5 col-sm-2">
<select class="form-control input-xs" id="boardBrokerSummary">
<option value="all">All Trade</option>
<option value="RG" >Regular</option>
<option value="TN" >Tunai</option>
<option value="NG" >Nego</option>
</select>
</div>
<div class="col col-xs-2 col-sm-1">
<button type="button" class="btn btn-default btn-block btn-xs-input" onClick="quickinfo_brokersummary($('#stockPageCode').val()!==undefined?$('#stockPageCode').val():$('#stockInfoCode').val(),$('#startDateBrokerSummary').val(),$('#endDateBrokerSummary').val(),$('#FDBrokerSummary').val(),$('#boardBrokerSummary').val());">GO</button>
</div>
</div>
</div>
<div class="table-responsive">
<table width="100%" border="0" cellspacing="0" cellpadding="0" class="table table-summary table-hover noborder nm">
<thead>
<tr>
<th align="center">Buyer</th>
<th align="right">B.Lot</th>
<th align="right">B.Val</th>
<th align="right">B.Avg</th>
<th align="center">#</th>
<th align="center">Seller</th>
<th align="right">S.Lot</th>
<th align="right">S.Val</th>
<th align="right">S.Avg</th>
</tr>
</thead>
<tbody>
<tr>
<td align="center"><span class="text-foreign">KZ</span></td>
<td align="right"><span class="text-up">1.9 M</span></td>
<td align="right"><span class="text-up">381.6 B</span></td>
<td align="right"><span class="text-up">1,960 </span></td>
<td align="center">1</td>
<td align="center"><span class="text-foreign">KZ</span></td>
<td align="right"><span class="text-down">3.7 M</span></td>
<td align="right"><span class="text-down">721.6 B</span></td>
<td align="right"><span class="text-down">1,933 </span></td>
</tr>
<tr>
<td align="center"><span class="text-bumn">CC</span></td>
<td align="right"><span class="text-up">1.5 M</span></td>
<td align="right"><span class="text-up">292.8 B</span></td>
<td align="right"><span class="text-up">1,932 </span></td>
<td align="center">2</td>
<td align="center"><span class="text-bumn">CC</span></td>
<td align="right"><span class="text-down">1.8 M</span></td>
<td align="right"><span class="text-down">353.9 B</span></td>
<td align="right"><span class="text-down">1,933 </span></td>
</tr>
<tr>
<td align="center"><span class="text-foreign">BK</span></td>
<td align="right"><span class="text-up">1.4 M</span></td>
<td align="right"><span class="text-up">274.7 B</span></td>
<td align="right"><span class="text-up">1,917 </span></td>
<td align="center">3</td>
<td align="center"><span class="text-foreign">BK</span></td>
<td align="right"><span class="text-down">1.6 M</span></td>
<td align="right"><span class="text-down">312.2 B</span></td>
<td align="right"><span class="text-down">1,926 </span></td>
</tr>
<tr>
<td align="center"><span class="text-foreign">RX</span></td>
<td align="right"><span class="text-up">1.0 M</span></td>
<td align="right"><span class="text-up">200.0 B</span></td>
<td align="right"><span class="text-up">1,933 </span></td>
<td align="center">4</td>
<td align="center"><span class="text-foreign">ZP</span></td>
<td align="right"><span class="text-down">1.0 M</span></td>
<td align="right"><span class="text-down">198.1 B</span></td>
<td align="right"><span class="text-down">1,926 </span></td>
</tr>
<tr>
<td align="center"><span class="text-foreign">ZP</span></td>
<td align="right"><span class="text-up">992,588 </span></td>
<td align="right"><span class="text-up">192.3 B</span></td>
<td align="right"><span class="text-up">1,937 </span></td>
<td align="center">5</td>
<td align="center"><span class="text-foreign">AK</span></td>
<td align="right"><span class="text-down">704,361 </span></td>
<td align="right"><span class="text-down">136.7 B</span></td>
<td align="right"><span class="text-down">1,941 </span></td>
</tr>
<tr>
<td align="center"><span class="text-foreign">YU</span></td>
<td align="right"><span class="text-up">944,581 </span></td>
<td align="right"><span class="text-up">180.4 B</span></td>
<td align="right"><span class="text-up">1,910 </span></td>
<td align="center">6</td>
<td align="center"><span class="text-local">MG</span></td>
<td align="right"><span class="text-down">529,257 </span></td>
<td align="right"><span class="text-down">101.4 B</span></td>
<td align="right"><span class="text-down">1,916 </span></td>
</tr>
<tr>
<td align="center"><span class="text-foreign">AK</span></td>
<td align="right"><span class="text-up">715,278 </span></td>
<td align="right"><span class="text-up">138.2 B</span></td>
<td align="right"><span class="text-up">1,932 </span></td>
<td align="center">7</td>
<td align="center"><span class="text-foreign">YU</span></td>
<td align="right"><span class="text-down">324,973 </span></td>
<td align="right"><span class="text-down">62.5 B</span></td>
<td align="right"><span class="text-down">1,924 </span></td>
</tr>
<tr>
<td align="center"><span class="text-local">MG</span></td>
<td align="right"><span class="text-up">528,650 </span></td>
<td align="right"><span class="text-up">100.6 B</span></td>
<td align="right"><span class="text-up">1,903 </span></td>
<td align="center">8</td>
<td align="center"><span class="text-bumn">NI</span></td>
<td align="right"><span class="text-down">208,165 </span></td>
<td align="right"><span class="text-down">39.8 B</span></td>
<td align="right"><span class="text-down">1,911 </span></td>
</tr>
<tr>
<td align="center"><span class="text-local">XL</span></td>
<td align="right"><span class="text-up">331,760 </span></td>
<td align="right"><span class="text-up">64.1 B</span></td>
<td align="right"><span class="text-up">1,931 </span></td>
<td align="center">9</td>
<td align="center"><span class="text-local">XL</span></td>
<td align="right"><span class="text-down">173,939 </span></td>
<td align="right"><span class="text-down">33.7 B</span></td>
<td align="right"><span class="text-down">1,937 </span></td>
</tr>
<tr>
<td align="center"><span class="text-foreign">YP</span></td>
<td align="right"><span class="text-up">234,664 </span></td>
<td align="right"><span class="text-up">44.9 B</span></td>
<td align="right"><span class="text-up">1,913 </span></td>
<td align="center">10</td>
<td align="center"><span class="text-foreign">YP</span></td>
<td align="right"><span class="text-down">168,848 </span></td>
<td align="right"><span class="text-down">32.7 B</span></td>
<td align="right"><span class="text-down">1,938 </span></td>
</tr>
</tbody>
<tfoot>
<tr class="bdr-t">
<th colspan="9" align="center">
<div class="text-center pt20 valign-middle" style="height:50px;">
<span class="fsize12 ml5 mr5">T. Val : 2.2 T</span>
<span class="fsize12 ml5 mr5">F. NVal : -90.2 B</span>
<span class="fsize12 ml5 mr5">T.Lot : 11.3 M</span>
<span class="fsize12 ml5 mr5">Avg : 1,931 </span>
</div>
</th>
</tr>
</tfoot>
</table>
</div>
<!-- =======================
======SCRIPT MODULE=========
============================-->
<script src="../../../../module/saham/include/js/data-brokersummary.js"></script>

View file

@ -115,10 +115,9 @@ pub struct AnalyzeParams {
pub kinds: Option<Vec<AnalysisKind>>,
}
/// Which sessions and trades a broker tool covers.
#[derive(Debug, Deserialize, JsonSchema)]
pub struct BrokerParams {
/// IDX ticker, e.g. "BBCA".
pub symbol: String,
pub struct BrokerScope {
/// One session, YYYY-MM-DD. Omit date, from and to for the latest session with trades.
#[serde(default)]
pub date: Option<String>,
@ -139,6 +138,25 @@ pub struct BrokerParams {
pub board: Option<String>,
}
#[derive(Debug, Deserialize, JsonSchema)]
pub struct BrokerParams {
/// IDX ticker, e.g. "BBCA".
pub symbol: String,
#[serde(flatten)]
pub scope: BrokerScope,
}
#[derive(Debug, Deserialize, JsonSchema)]
pub struct BandarParams {
/// IDX tickers, e.g. ["BBCA", "BBRI"]; the `.JK` suffix is optional. At most 20.
pub symbols: Vec<String>,
#[serde(flatten)]
pub scope: BrokerScope,
/// Tier behind the headline signal: 1, 3, 5 or 10 brokers per side (default 5).
#[serde(default)]
pub top: Option<u8>,
}
#[derive(Debug, Deserialize, JsonSchema)]
pub struct ShareholdersParams {
/// IDX ticker, e.g. "BBCA".

View file

@ -4,6 +4,8 @@
use std::collections::BTreeMap;
use idx_core::analysis::BandarQuery;
use idx_core::analysis::bandar::{BandarReport, DEFAULT_TOP};
use idx_core::analysis::fundamental::FundamentalReport;
use idx_core::broker::types::BrokerRange;
use idx_core::config::CoreConfig;
@ -22,9 +24,9 @@ use serde_json::{Map, Value, json};
use tokio::sync::Semaphore;
use crate::params::{
AnalysisKind, AnalyzeParams, BrokerParams, ChangesParams, CompanyParams, CompanySection,
EntityParams, HistoryParams, ScreenParams, SearchParams, ShareholdersParams, SymbolsParams,
SyncParams,
AnalysisKind, AnalyzeParams, BandarParams, BrokerParams, ChangesParams, CompanyParams,
CompanySection, EntityParams, HistoryParams, ScreenParams, SearchParams, ShareholdersParams,
SymbolsParams, SyncParams,
};
const SYNC_TOOL: &str = "ownership_sync";
@ -176,33 +178,66 @@ broker's own status (local, foreign, state_owned), not its clients'. `rounded` =
figures of a million and more carry one decimal of precision."
)]
async fn get_broker_summary(&self, params: Parameters<BrokerParams>) -> ToolResult {
let BrokerParams {
symbol,
date,
from,
to,
investor,
board,
} = params.0;
let BrokerParams { symbol, scope } = params.0;
self.live(move |idx| {
let broker = idx.broker();
let range = BrokerRange::from_args(
date.as_deref(),
from.as_deref(),
to.as_deref(),
scope.date.as_deref(),
scope.from.as_deref(),
scope.to.as_deref(),
broker.today(),
)?;
broker.fetch(
&symbol,
range,
investor.as_deref().unwrap_or("all").parse()?,
board.as_deref().unwrap_or("all").parse()?,
scope.investor.as_deref().unwrap_or("all").parse()?,
scope.board.as_deref().unwrap_or("all").parse()?,
CachePolicy::Default,
)
})
.await
}
#[tool(
description = "Bandarmology for one or more IDX tickers from the broker summary: for \
the top 1, 3, 5 and 10 brokers per side, buy value minus sell value as basis points of value \
traded (`imbalance_bps`), with a `signal` from big_accumulation (>= +1500) through neutral \
(within +-500) to big_distribution (<= -1500), headlined by `top` (default 5). Reports come \
strongest accumulation first; tickers that fail are listed under `failures`. A heuristic over \
end-of-day broker codes: brokers trade for many clients, and `both_sides` lists brokers whose \
gross figures overstate their direction. `method` names the rules applied."
)]
async fn analyze_bandar(&self, params: Parameters<BandarParams>) -> ToolResult {
let BandarParams {
scope,
symbols,
top,
} = params.0;
let symbols = match checked_symbols(symbols) {
Ok(symbols) => symbols,
Err(err) => return err,
};
self.live(move |idx| {
let query = BandarQuery {
range: BrokerRange::from_args(
scope.date.as_deref(),
scope.from.as_deref(),
scope.to.as_deref(),
idx.broker().today(),
)?,
investor: scope.investor.as_deref().unwrap_or("all").parse()?,
board: scope.board.as_deref().unwrap_or("all").parse()?,
top: top.unwrap_or(DEFAULT_TOP),
};
let screen = idx
.analysis()
.bandar_screen(&symbols, &query, CachePolicy::Default)?;
let reports: &[Fetched<BandarReport>] = &screen.reports;
Ok(json!({ "reports": reports, "failures": failures_json(&screen.failures) }))
})
.await
}
#[tool(
description = "Company data for one IDX ticker: profile, financial statements, \
earnings, analyst sentiment, insights, and news. News items carry `relevance`: \
@ -294,17 +329,8 @@ tickers. Tickers that fail are listed under `failures`."
};
self.live(move |idx| {
let comparison = idx.analysis().compare(&symbols, CachePolicy::Default)?;
let failures: Vec<Value> = comparison
.failures
.iter()
.map(|(symbol, err)| {
let mut body = error_body(err);
body.insert("symbol".into(), json!(symbol));
Value::Object(body)
})
.collect();
let reports: &[Fetched<FundamentalReport>] = &comparison.reports;
Ok(json!({ "reports": reports, "failures": failures }))
Ok(json!({ "reports": reports, "failures": failures_json(&comparison.failures) }))
})
.await
}
@ -480,6 +506,18 @@ where
})
}
/// Per-symbol failures as error bodies carrying their symbol.
fn failures_json(failures: &[(String, IdxError)]) -> Vec<Value> {
failures
.iter()
.map(|(symbol, err)| {
let mut body = error_body(err);
body.insert("symbol".into(), json!(symbol));
Value::Object(body)
})
.collect()
}
fn input_error(message: String) -> ToolResult {
let err = IdxError::InvalidInput(message);
Ok(CallToolResult::structured_error(Value::Object(error_body(

View file

@ -1,4 +1,80 @@
[
{
"description": "Bandarmology for one or more IDX tickers from the broker summary: for the top 1, 3, 5 and 10 brokers per side, buy value minus sell value as basis points of value traded (`imbalance_bps`), with a `signal` from big_accumulation (>= +1500) through neutral (within +-500) to big_distribution (<= -1500), headlined by `top` (default 5). Reports come strongest accumulation first; tickers that fail are listed under `failures`. A heuristic over end-of-day broker codes: brokers trade for many clients, and `both_sides` lists brokers whose gross figures overstate their direction. `method` names the rules applied.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"board": {
"default": null,
"description": "Which board's trades to count (default \"all\"); \"regular\" leaves out\nnegotiated block trades.",
"enum": [
"all",
"regular",
"cash",
"negotiated"
],
"type": "string"
},
"date": {
"default": null,
"description": "One session, YYYY-MM-DD. Omit date, from and to for the latest session with trades.",
"type": [
"string",
"null"
]
},
"from": {
"default": null,
"description": "First session of a range, YYYY-MM-DD (at most 366 days).",
"type": [
"string",
"null"
]
},
"investor": {
"default": null,
"description": "Whose trades to count, by investor domicile (default \"all\").",
"enum": [
"all",
"foreign",
"domestic"
],
"type": "string"
},
"symbols": {
"description": "IDX tickers, e.g. [\"BBCA\", \"BBRI\"]; the `.JK` suffix is optional. At most 20.",
"items": {
"type": "string"
},
"type": "array"
},
"to": {
"default": null,
"description": "Last session of the range, YYYY-MM-DD (default today).",
"type": [
"string",
"null"
]
},
"top": {
"default": null,
"description": "Tier behind the headline signal: 1, 3, 5 or 10 brokers per side (default 5).",
"format": "uint8",
"maximum": 255,
"minimum": 0,
"type": [
"integer",
"null"
]
}
},
"required": [
"symbols"
],
"type": "object"
},
"name": "analyze_bandar"
},
{
"description": "Analyze one IDX ticker: technical signals (trend, RSI, MACD, moving averages) and fundamental growth, valuation, and risk ratings. Analyses that fail are listed under `errors`; the call fails only if every analysis fails.",
"inputSchema": {

View file

@ -9,7 +9,8 @@ use idx_core::config::CoreConfig;
use idx_core::investor::{ImportSource, Investor};
use serde_json::{Value, json};
const TOOLS: [&str; 12] = [
const TOOLS: [&str; 13] = [
"analyze_bandar",
"analyze_stock",
"compare_stocks",
"get_broker_summary",
@ -258,6 +259,22 @@ fn live_tools_wrap_data_with_freshness() {
assert_eq!(brokers["data"]["sellers"][0]["name"], "MANDIRI SEKURITAS");
assert_eq!(brokers["data"]["foreign_net_value"], -2_300_000_000_000_i64);
let bandar = client.ok(
"analyze_bandar",
json!({"symbols": ["BBCA", "BBRI", "ZZZZ"], "date": "2026-10-16", "top": 3}),
);
let reports = bandar["reports"].as_array().unwrap();
assert_eq!(reports.len(), 2);
assert_fetched(&reports[0]);
assert_eq!(reports[0]["data"]["top"], 3);
assert_eq!(reports[0]["data"]["method"], "top_concentration_v1");
assert!(
reports[0]["data"]["imbalance_bps"].as_i64()
>= reports[1]["data"]["imbalance_bps"].as_i64()
);
assert_eq!(bandar["failures"][0]["symbol"], "ZZZZ.JK");
assert_eq!(bandar["failures"][0]["code"], "SYMBOLNOTFOUND");
let compared = client.ok("compare_stocks", json!({"symbols": ["BBCA", "BBRI"]}));
assert_eq!(compared["reports"].as_array().unwrap().len(), 2);
assert_eq!(compared["failures"], json!([]));
@ -292,6 +309,8 @@ fn errors_carry_cli_codes() {
"get_broker_summary",
json!({"symbol": "BBCA", "date": "2026-10-16", "board": "dark"}),
),
("analyze_bandar", json!({"symbols": ["BBCA"], "top": 4})),
("analyze_bandar", json!({"symbols": []})),
] {
let (is_error, body) = client.call(tool, arguments);
assert!(is_error, "{tool}: {body}");