symbol – trading ticker
cusip – security identifier
name – company name
exchange – listed exchange
sector – market sector
industry – industry group
market_cap – market capitalization
cap_category – size group (large, mid, small cap)
ipoyear – year of IPO

date – trading day
open, high, low, close – price levels
volume – traded shares
obv – on-balance volume
trades – number of trades

hl2 – (high + low) / 2
hlc3 – (high + low + close) / 3
typical_price – weighted average price
vwap – volume-weighted average price

sma50, sma200 – simple moving averages
ema21, ema50 – exponential moving averages

macd, macd_signal – trend momentum lines
adx, adxr – average trend strength
dip, din – directional indicators (+DI / –DI)
csi – composite strength index

rsi – relative strength index
cci – commodity channel index
roc – rate of change
stoch_k, stoch_d – stochastic oscillator
mfi – money flow index

candle_body – difference open vs. close
upper_shadow – high vs. close/open
lower_shadow – low vs. close/open

For each of six key metrics — Volume, ATR, Range %, RSI, ADX, and HLC3 — the screener calculates:

• 20-day and 50-day averages, showing medium- and long-term stability.
• Current-to-average ratios, revealing abnormal shifts and potential breakouts in volatility, strength, or price dynamics.

This helps identify when the market deviates from its usual rhythm — early signs of new trends or extreme conditions.

10 binary strategy signals based on combined indicators and volume–volatility patterns:

gap_hunter — detects strong price gaps at the open confirmed by high volume.
volume_surge — identifies abnormal trading activity without big price movement (accumulation or distribution).
vol_squeeze — signals periods of low volatility before potential breakout moves.
trend_strength — highlights stocks with a strengthening, accelerating trend.
rsi_divergence — finds overbought momentum that’s unusually high relative to normal RSI levels.
range_breakout — detects unusually wide daily ranges, indicating volatility expansion.
momentum_reversal — spots early reversal moments when RSI rises from oversold levels.
trend_rider — tracks trending stocks trading above key moving averages (SMA50 > SMA200).
volume_breakout — confirms price breakout above VWAP supported by strong volume.
macd_cross — detects bullish MACD crossover with momentum above zero.
signal_score — combined signal strength (sum of 10 strategies, 0–10 scale).

current_price — retrieves the latest market price of each stock using the GoogleFinance formula when the file is opened in Google Sheets.

price_performance_pct— shows the percentage change from the screener’s recorded close price to the current market price.

This feature doesn’t simulate trades — it simply lets you reopen any past screener and see how prices have actually moved since the signals were generated.