Stock Screening

Stock screening finds symbols that satisfy a set of technical conditions on the most recent bar. The workflow is:

1. Write an indicator() script that plots 1.0 when your condition is met and 0.0 otherwise
2. Run it against each symbol with --format json
3. Collect symbols where the last signal value is 1

last=$(longbridge quant run "$sym" --start ... --end ... \
  --format json --script "$script" 2>/dev/null | \
  jq -r '.data.series[] | select(.name == "Signal") | .values[-1]')
[ "$last" = "1" ] && echo "$sym"

The screening runs only against the symbols you explicitly list. Define your watchlist in the symbols array and adjust it to suit your needs.

RSI Oversold

Screen for stocks where RSI(14) closed below 35 on the latest bar.

symbols=(AAPL.US NVDA.US TSLA.US MSFT.US META.US AMZN.US GOOGL.US)
script='
indicator()
r = ta.rsi(close, 14)
plot(r < 35 ? 1.0 : 0.0, "Signal")
'

for sym in "${symbols[@]}"; do
  last=$(longbridge quant run "$sym" \
    --start 2026-01-01 --end 2026-04-28 \
    --format json --script "$script" 2>/dev/null | \
    jq -r '.data.series[] | select(.name == "Signal") | .values[-1]')
  [ "$last" = "1" ] && echo "$sym"
done

EMA Bullish Alignment

Screen for stocks with all three EMAs stacked bullishly: EMA8 > EMA21 > EMA55.

symbols=(AAPL.US NVDA.US TSLA.US MSFT.US META.US AMZN.US GOOGL.US)
script='
indicator()
e8  = ta.ema(close, 8)
e21 = ta.ema(close, 21)
e55 = ta.ema(close, 55)
plot(e8 > e21 and e21 > e55 ? 1.0 : 0.0, "Signal")
'

for sym in "${symbols[@]}"; do
  last=$(longbridge quant run "$sym" \
    --start 2026-01-01 --end 2026-04-28 \
    --format json --script "$script" 2>/dev/null | \
    jq -r '.data.series[] | select(.name == "Signal") | .values[-1]')
  [ "$last" = "1" ] && echo "$sym"
done

Bollinger Band Squeeze

Screen for stocks where the band width (Upper − Lower) hit its 20-bar minimum — a classic volatility contraction signal.

symbols=(AAPL.US NVDA.US TSLA.US MSFT.US META.US AMZN.US GOOGL.US)
script='
indicator()
length = input.int(20)
mult   = input.float(2.0)
basis  = ta.sma(close, length)
dev    = mult * ta.stdev(close, length)
bw     = (basis + dev) - (basis - dev)
plot(bw <= ta.lowest(bw, 20) ? 1.0 : 0.0, "Signal")
'

for sym in "${symbols[@]}"; do
  last=$(longbridge quant run "$sym" \
    --start 2026-01-01 --end 2026-04-28 \
    --format json --script "$script" 2>/dev/null | \
    jq -r '.data.series[] | select(.name == "Signal") | .values[-1]')
  [ "$last" = "1" ] && echo "$sym"
done