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py report_by_query.py -t "SP500 Daily Movers" -q "(is_large_cap == True)" -o "daily_close_change_delta_1" -vpy report_by_query.py -t "SP500 Weekly Movers" -q "(is_large_cap == True)" -o "week_1_close_change_delta_1" -vpy report_by_query.py -t "SP500 Monthly Movers" -q "(is_large_cap == True)" -o "month_1_close_change_delta_1" -vEMA Bounce
py report_by_query.py -t "EMA Bounce" -q "(day_0_ema_60 < day_0_ema_50 < day_0_ema_45 < day_0_ema_40 < day_0_ema_35 < last_close < day_0_ema_30) and (adx_14 > 35) and (daily_strat.str.contains('.*-2d-2d')) and (daily_strat_candle.str.contains('.*-red-green$'))" -o "natr_30" -vpy report_by_query.py -t "EMA 8x21 Pullback" -q "(day_0_ema_60 < day_0_ema_50 < day_0_ema_45 < day_0_ema_40 < day_0_ema_35 < day_0_ema_21 < day_0_ema_8) and (vol_ema_3 > vol_ema_5 > vol_ema_7) and (last_low > day_0_ema_21) and (last_low < day_0_ema_8) and (adx_14 < 30) and (adx_9 > adx_14 > adx_21)" -o "natr_30" -vpy report_by_query.py -t "UpTrend" -q "(day_0_ema_3 > day_0_ema_5 > day_0_ema_7 > day_0_ema_9 > day_0_ema_11 > day_0_ema_13 > day_0_ema_15 > day_0_ema_21 > day_0_ema_30 > day_0_ema_35 > day_0_ema_40 > day_0_ema_45 > day_0_ema_50 > day_0_ema_60)" -o "smooth_30" -v# 21 x 50
py report_by_query.py -t "UpTrend" -q "(day_0_ema_21 > day_0_ema_50) and (last_high > day_0_ema_8) and (last_low < day_0_ema_8)" -o "smooth_30" -v# 8 x 21 CrossOver (Possible Beginning of new trend)
py report_by_query.py -t "8x21" -q "(last_close > 100) and (last_close > day_0_ema_8) and (day_0_ema_8 > day_0_ema_21) and (day_1_ema_8 < day_1_ema_21)" -o "natr_30" -vpy report_by_query.py -t "Ema21 Bounce" -q "(day_0_ema_8 > day_0_ema_21) and (day_0_ema_8 > day_0_ema_21) and (last_high < day_0_ema_8) and (last_low > day_0_ema_21) and (daily_strat_candle.str.contains('.*-red-green$'))" -o "smooth_30" -vpy report_by_query.py -t "Power of 3 Daily" -q "(power_of_3_daily == True)" -o natr_30 -vpy report_by_query.py -t "Power of 3 Weekly" -q "(power_of_3_week_1 == True) and (last_close < day_0_boll_21_2)" -o natr_30 -vpy report_by_query.py -t "⬆ 5D Volume" -o natr_30 -v -q "(last_volume > day_2_volume > day_3_volume > day_4_volume > day_5_volume > day_6_volume > day_7_volume > day_8_volume > day_9_volume)"py report_by_query.py -t "⬆ 4D Vol/R-G-G Candles" -o natr_30 -v -q "(last_volume > day_2_volume > day_3_volume > day_4_volume) and (daily_strat_candle.str.contains('red-green-green$'))"py report_by_query.py -t "⬆ 2W Vol/GG Candles" -o natr_30 -v -q "(week_0_volume > week_1_volume > week_2_volume > week_3_volume and (week_1_strat.str.contains('2d-2d-2u$')) and (week_1_strat_candle.str.contains('.*-green-green$')))"py report_by_query.py -t "123 Pullbacks(Daily)" -q "(adx_14 > 35) and (pdi_14 > mdi_14) and (daily_strat.str.contains('2d-2d-2u$'))" -o natr_30 -v# Track - Buy when cross-up week high
py report_by_query.py -t "123 Pullbacks(week_1)" -q "(adx_14 > 35) and (pdi_14 > mdi_14) and (week_1_strat.str.contains('2d-2d-2u$'))" -o natr_30 -v# Oversold and mean reversion
py report_by_query.py -t "Mean Rev 50 LowerBB" -o natr_30 -v -q "(daily_strat_candle.str.contains('.*-red-green$')) and (last_close < day_0_boll_50_3_lb)"py report_by_query.py -t "Mean Rev LowerBB" -o natr_30 -v -q "(daily_strat_candle.str.contains('.*-green$')) and (last_close < day_0_boll_21_2_lb)"# boll_21_3_lb -> bollinger ban 21 day MA, 3 Stdev Lowerband
py report_by_query.py -t "Mean Reversion 21 LowerBB" -o natr_30 -v -q "(last_close < day_0_boll_21_3_lb) and (daily_strat_candle.str.contains('.*-green$'))"py report_by_query.py -t "Squeeze Up" -o natr_30 -v -q "(daily_strat.str.contains('.*-2u$')) and (daily_strat_candle.str.contains('.*-green$')) and (week_1_strat.str.contains('.*-1$')) and (week_1_strat_candle.str.contains('.*-green$'))"./rbq "(daily_strat.str.contains('.*-2u$')) and (daily_strat_candle.str.contains('.*-green$')) and (week_1_strat.str.contains('.*-1$')) and (week_1_strat_candle.str.contains('.*-green$'))"py report_by_query.py -t "Momentum Trending" -q "last_close > day_0_ema_3 > day_0_ema_5 > day_0_ema_7 > day_0_ema_9 > day_0_ema_11 > day_0_ema_13 > day_0_ema_30 > day_0_ema_35 > day_0_ema_40 > day_0_ema_45 > day_0_ema_50 > day_0_ema_55 > day_0_ema_60" -o green_candles_30 -vpy report_by_query.py -t "Boomer" -q "(daily_strat.str.contains('.*-1-1$')) and (daily_strat_candle.str.contains('.*-green-green$'))" -o natr_30 -vpy report_by_query.py -t "Boomer" -q "(month_1_strat.str.contains('1-1-1$')) and (month_1_strat_candle.str.contains('.*-green-green$'))" -o natr_30 -vpy report_by_query.py -t "Boomer" -q "(last_volume > 100000) and (month_3_strat.str.contains('.*-1-1$')) and (week_1_strat_candle.str.contains('red-green-green$'))" -o monthly_gains_1 -vpy report_by_query.py -t "KC inside BB Channel" -o natr_30 -v -q "(boll_ub < kc_ub) and (boll_lb > kc_lb) and (vol_ema_3 > vol_ema_5 > vol_ema_7) and (daily_strat.str.contains('.*-2u$')) and (daily_strat_candle.str.contains('.*-green$'))"# Read symbols from file and generate report
QUERY=$(SYMBOLS=$(cat file.csv | awk -F\, '{print $1}' | grep -v symbol | while read line; do echo "'$line'"; done | tr '\n' ','); echo "(symbol in ($SYMBOLS))"); ./rbq $QUERYpy report_by_query.py -t "BB lb (oversold)" -o natr_30 -v -q "(day_5_low < day_4_boll_21_2_lb) and (day_4_low < day_3_boll_21_2_lb) and (day_3_low < day_2_boll_21_2_lb) and (last_low > day_0_boll_21_2_lb) and (daily_strat_candle.str.contains('.*-green$'))"# Few days down in a row
py report_by_query.py -t "9 Days Down in a row" -o natr_30 -v -q "(day_2_low < day_3_low < day_4_low < day_5_low < day_6_low < day_7_low < day_8_low < day_9_low < day_10_low)"# Parabolic moves
py report_by_query.py -t "Month Change" -o month_1_close_change_delta_1 -v -q "(month_1_close_change_delta_1 > 50)"py report_by_query.py -o smooth_30 -t "4RSI" -v -q "(last_close < 100) and (last_close > day_0_ma_50) and (monthly_gains_3 > 0) and (day_0_rsi_2 < 10)"py report_by_query.py -o smooth_30 -t "AllRSI" -v -q "(day_0_rsi_2 < 10) and (day_0_rsi_4 < 10) and (day_0_rsi_9 < 10) and (last_close > 10)"py report_by_query.py -o smooth_30 -t "RSI3 Bounce" -v -q "last_close > 10 and week_1_rsi_3 < 5 and week_0_rsi_3 > 5 and week_0_rsi_3 < 10"
py report_by_query.py -o smooth_30 -t "RSI4 Bounce" -v -q "last_close > 10 and day_2_rsi_4 < 15 and day_1_rsi_4 > 15 and day_0_rsi_4 > 15"py report_by_query.py -o smooth_90 -v -t "Long Key Reversal" -q "((day_2_low < day_3_low) and (last_close > day_3_high) and (last_close > day_2_high)) and (daily_strat_candle.str.contains('red-red-green$')) and (last_close > day_0_ema_8 > day_0_ema_21) and (week_1_strat_candle.str.contains('.*-green$'))"py report_by_query.py -o smooth_90 -v -t "Long Key Reversal 2" -q "((week_2_low < week_3_low) and (last_close > week_3_high) and (last_close > week_2_high))"py report_by_query.py -o smooth_90 -v -t "Long base and Breakout" -q "(last_volume < day_2_volume) and (last_low < day_2_high) and (last_close > month_1_high) and (last_close > month_2_high) and (last_close > month_3_high) and (day_2_volume < last_close)"py report_by_query.py -t "MMA Breakout" -q "(last_close > day_0_ema_3 > day_0_ema_5 > day_0_ema_7 > day_0_ema_9 > day_0_ema_11 > day_0_ema_13) and (last_close < day_0_ema_30 < day_0_ema_35 < day_0_ema_40 < day_0_ema_45 < day_0_ema_50 < day_0_ema_55 < day_0_ema_60)" -o green_candles_30 -v# last_candle is 3x previous candle, last_volume is 3x previous candle volume
./rbq "(last_close > 10) and (abs(last_high - last_close) < 3 * abs(day_2_high - day_2_low)) and (last_volume > day_2_volume * 3) and (daily_strat_candle.str.contains('.*-green-green$')) and (daily_strat.str.contains('.*-2u$'))"# Volume/Price divergence/convergence
./rbq "(vol_ma_3 > vol_ma_5 > vol_ma_7 > vol_ma_9 > vol_ma_11 > vol_ma_13 > vol_ma_15 > vol_ma_17 > vol_ma_19 > vol_ma_21) and (day_0_ma_3 < day_0_ma_5 < day_0_ma_7 < day_0_ma_9 < day_0_ma_11 < day_0_ma_13 < day_0_ma_15)"./rbq "(day_2_volume > day_3_volume > day_4_volume > day_5_volume > day_6_volume) and (day_2_close < day_3_close < day_4_close < day_5_close < day_6_close < day_7_close)"S&P Equal Weighted ETFs
QUERY=$(SYMBOLS=$(cat data/equal-weighted.csv | awk -F\, '{print $1}' | grep -v symbol | while read line; do echo "'$line'"; done | tr '\n' ','); echo "(symbol in ($SYMBOLS))"); ./rbq $QUERYS&P Sector ETFs
QUERY=$(SYMBOLS=$(cat data/sector-etfs.csv | awk -F\, '{print $1}' | grep -v symbol | while read line; do echo "'$line'"; done | tr '\n' ','); echo "(symbol in ($SYMBOLS))"); ./rbq $QUERYQUERY=$(SYMBOLS=$(cat combined_output.csv | awk -F, '{print $1}' | grep -v symbol | while read line; do echo "'$line'"; done | tr '\n' ','); echo "(symbol in ($SYMBOLS))"); ./rbq $QUERY