Update cookbook recipes to use TICK syntax for date filtering

documentation/cookbook/demo-data-schema.md

@@ -62,7 +62,7 @@ The table tracks **30 currency pairs**: EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD,
 
 ```questdb-sql demo title="Recent core_price updates"
 SELECT * FROM core_price
-WHERE timestamp IN today()
+WHERE timestamp IN '$today'
 LIMIT -10;
 ```
 
@@ -116,7 +116,7 @@ SELECT timestamp, symbol,
        array_count(bids[1]) as bid_levels,
        array_count(asks[1]) as ask_levels
 FROM market_data
-WHERE timestamp IN today()
+WHERE timestamp IN '$today'
 LIMIT -5;
 ```
 
@@ -170,7 +170,7 @@ CREATE TABLE 'fx_trades' (
 
 ```questdb-sql demo title="Recent FX trades"
 SELECT * FROM fx_trades
-WHERE timestamp IN today()
+WHERE timestamp IN '$today'
 LIMIT -10;
 ```
 

documentation/cookbook/integrations/grafana/variable-dropdown.md

@@ -193,7 +193,7 @@ The PostgreSQL data source recognizes `__text` and `__value` as special column n
 **Different filter conditions:**
 ```sql
 -- Filter by time range
-WHERE timestamp IN yesterday()
+WHERE timestamp IN '$yesterday'
 
 -- Filter by multiple criteria
 WHERE symbol LIKE '%USDT' AND price > 1000

documentation/cookbook/sql/advanced/conditional-aggregates.md

@@ -33,7 +33,7 @@ SELECT
   sum(CASE WHEN amount <= 1.0 THEN amount END) as small_trade_volume,
   sum(amount) as total_volume
 FROM trades
-WHERE timestamp >= dateadd('d', -1, now())
+WHERE timestamp IN '$now - 1d..$now'
   AND symbol IN ('BTC-USDT', 'ETH-USDT')
 GROUP BY symbol;
 ```

documentation/cookbook/sql/advanced/consistent-histogram-buckets.md

@@ -20,7 +20,7 @@ SELECT
   floor(amount / @bucket_size) * @bucket_size AS bucket,
   count(*) AS count
 FROM trades
-WHERE symbol = 'BTC-USDT' AND timestamp IN today()
+WHERE symbol = 'BTC-USDT' AND timestamp IN '$today'
 GROUP BY bucket
 ORDER BY bucket;
 ```
@@ -53,7 +53,7 @@ DECLARE @bucket_count := 50
 
 WITH raw_data AS (
   SELECT price, amount FROM trades
-  WHERE symbol = 'BTC-USDT' AND timestamp IN today()
+  WHERE symbol = 'BTC-USDT' AND timestamp IN '$today'
 ),
 bucket_size AS (
   SELECT (max(price) - min(price)) / (@bucket_count - 1) AS bucket_size FROM raw_data
@@ -83,7 +83,7 @@ SELECT
 FROM trades
 WHERE symbol = 'BTC-USDT'
   AND amount > 0.000001 -- optional. Just adding here for easier visualization
-  AND timestamp IN today()
+  AND timestamp IN '$today'
 GROUP BY bucket
 ORDER BY bucket;
 ```
@@ -104,7 +104,7 @@ SELECT
   END AS bucket,
   count(*) AS count
 FROM trades
-WHERE symbol = 'BTC-USDT' AND timestamp IN today()
+WHERE symbol = 'BTC-USDT' AND timestamp IN '$today'
 GROUP BY bucket;
 ```
 
@@ -119,7 +119,7 @@ SELECT
   floor(amount / @bucket_size) * @bucket_size AS bucket,
   count(*) AS count
 FROM trades
-WHERE symbol = 'BTC-USDT' AND timestamp IN today()
+WHERE symbol = 'BTC-USDT' AND timestamp IN '$today'
 SAMPLE BY 1h
 ORDER BY timestamp, bucket;
 ```

documentation/cookbook/sql/advanced/local-min-max.md

@@ -19,7 +19,7 @@ SELECT timestamp, bid_price,
   min(bid_price) OVER (ORDER BY timestamp RANGE 1 second PRECEDING) AS min_price,
   max(bid_price) OVER (ORDER BY timestamp RANGE 1 second PRECEDING) AS max_price
 FROM core_price
-WHERE timestamp >= dateadd('m', -1, now()) AND symbol = 'EURUSD';
+WHERE timestamp IN '$now - 1m..$now' AND symbol = 'EURUSD';
 ```
 
 This returns the minimum and maximum bid price from the 1 second preceding each row.
@@ -35,7 +35,7 @@ SELECT p.timestamp, p.bid_price,
 FROM core_price p
 WINDOW JOIN core_price pp ON symbol
   RANGE BETWEEN 1 second PRECEDING AND 1 second FOLLOWING
-WHERE p.timestamp >= dateadd('m', -1, now()) AND p.symbol = 'EURUSD';
+WHERE p.timestamp IN '$now - 1m..$now' AND p.symbol = 'EURUSD';
 ```
 
 This returns the minimum and maximum bid price from 1 second before to 1 second after each row.

documentation/cookbook/sql/advanced/pivot-with-others.md

@@ -13,7 +13,7 @@ You want to pivot data so that specific symbols (like EURUSD, GBPUSD, USDJPY) be
 ```questdb-sql demo title="Aggregated data per symbol"
 SELECT timestamp, symbol, SUM(bid_volume) AS total_bid
 FROM core_price
-WHERE timestamp IN today()
+WHERE timestamp IN '$today'
 SAMPLE BY 1m
 LIMIT 20;
 ```
@@ -55,7 +55,7 @@ SELECT timestamp,
   SUM(CASE WHEN symbol NOT IN ('EURUSD', 'GBPUSD', 'USDJPY')
     THEN bid_volume END) AS OTHERS
 FROM core_price
-WHERE timestamp IN today()
+WHERE timestamp IN '$today'
 SAMPLE BY 1m
 LIMIT 5;
 ```

documentation/cookbook/sql/advanced/rows-before-after-value-match.md

@@ -27,7 +27,7 @@ SELECT timestamp, bid_price,
   LEAD(bid_price, 4) OVER () AS next_4,
   LEAD(bid_price, 5) OVER () AS next_5
 FROM core_price
-WHERE timestamp >= dateadd('m', -1, now()) AND symbol = 'EURUSD';
+WHERE timestamp IN '$now - 1m..$now' AND symbol = 'EURUSD';
 ```
 
 ## How it works

documentation/cookbook/sql/advanced/sankey-funnel.md

@@ -43,7 +43,7 @@ WITH PrevEvents AS (
     timestamp,
     lag(timestamp) OVER (PARTITION BY visitor_id ORDER BY timestamp) AS prev_ts
   FROM
-    events WHERE timestamp > dateadd('d', -7, now())
+    events WHERE timestamp IN '$now - 7d..$now'
     AND metric_name = 'page_view'
 ), VisitorSessions AS (
   SELECT *,

documentation/cookbook/sql/advanced/top-n-plus-others.md

@@ -31,7 +31,7 @@ WITH totals AS (
     symbol,
     count() as total
   FROM trades
-  WHERE timestamp >= dateadd('d', -1, now())
+  WHERE timestamp IN '$now - 1d..$now'
 ),
 ranked AS (
   SELECT
@@ -160,7 +160,7 @@ Results in three groups: top 5 individual, ranks 6-10 combined, rest combined.
 WITH totals AS (
   SELECT symbol, count() as total
   FROM trades
-  WHERE timestamp >= dateadd('d', -1, now())
+  WHERE timestamp IN '$now - 1d..$now'
 ),
 ranked AS (
   SELECT *, rank() OVER (ORDER BY total DESC) as ranking
@@ -196,7 +196,7 @@ WITH totals AS (
     side,
     count() as total
   FROM trades
-  WHERE timestamp >= dateadd('d', -1, now())
+  WHERE timestamp IN '$now - 1d..$now'
 ),
 ranked AS (
   SELECT

documentation/cookbook/sql/advanced/unpivot-table.md

@@ -42,7 +42,7 @@ WITH pivoted AS (
     CASE WHEN side = 'buy' THEN price END as buy,
     CASE WHEN side = 'sell' THEN price END as sell
   FROM trades
-  WHERE timestamp >= dateadd('m', -5, now())
+  WHERE timestamp IN '$now - 5m..$now'
     AND symbol = 'ETH-USDT'
 ),
 unpivoted AS (
@@ -114,7 +114,7 @@ WITH sensor_data AS (
     humidity,
     pressure
   FROM sensors
-  WHERE timestamp >= dateadd('h', -1, now())
+  WHERE timestamp IN '$now - 1h..$now'
 )
 SELECT timestamp, sensor_id, 'temperature' as metric, temperature as value FROM sensor_data
 WHERE temperature IS NOT NULL

documentation/cookbook/sql/finance/aggressor-volume-imbalance.md

@@ -19,7 +19,7 @@ WITH volumes AS (
     SUM(CASE WHEN side = 'buy' THEN amount ELSE 0 END) AS buy_volume,
     SUM(CASE WHEN side = 'sell' THEN amount ELSE 0 END) AS sell_volume
   FROM trades
-  WHERE timestamp IN yesterday()
+  WHERE timestamp IN '$yesterday'
     AND symbol IN ('ETH-USDT', 'BTC-USDT', 'ETH-BTC')
 )
 SELECT

documentation/cookbook/sql/finance/bollinger-bands.md

@@ -30,7 +30,7 @@ WITH OHLC AS (
       last(price) AS close,
       sum(quantity) AS volume
  FROM fx_trades
- WHERE symbol = 'EURUSD' AND timestamp IN yesterday()
+ WHERE symbol = 'EURUSD' AND timestamp IN '$yesterday'
  SAMPLE BY 15m
 ), stats AS (
   SELECT
@@ -109,7 +109,7 @@ WITH OHLC AS (
       sum(quantity) AS volume
  FROM fx_trades
  WHERE symbol IN ('EURUSD', 'GBPUSD')
-   AND timestamp IN yesterday()
+   AND timestamp IN '$yesterday'
  SAMPLE BY 15m
 ), stats AS (
   SELECT

documentation/cookbook/sql/finance/bollinger-bandwidth.md

@@ -25,8 +25,8 @@ When BandWidth drops to historically low levels, the bands are in a "squeeze". P
 ```questdb-sql demo title="Calculate Bollinger BandWidth with range position"
 DECLARE
   @symbol := 'BTC-USDT',
-  @history_start := dateadd('M', -6, now()),
-  @display_start := dateadd('M', -1, now())
+  @history := '$now - 6M..$now',
+  @display := '$now - 1M..$now'
 
 WITH daily_ohlc AS (
   SELECT
@@ -38,7 +38,7 @@ WITH daily_ohlc AS (
     last(close) AS close
   FROM trades_ohlc_15m
   WHERE symbol = @symbol
-    AND timestamp > @history_start
+    AND timestamp IN @history
   SAMPLE BY 1d
 ),
 bands AS (
@@ -102,11 +102,11 @@ SELECT
   round(bandwidth, 4) AS bandwidth,
   round((bandwidth - min_bw) / (max_bw - min_bw) * 100, 1) AS range_position
 FROM with_range
-WHERE timestamp > @display_start
+WHERE timestamp IN @display
 ORDER BY timestamp;
 ```
 
-The query first aggregates 15-minute candles into daily OHLC, then calculates standard 20-day Bollinger Bands. This matches the traditional approach where SMA20 represents roughly one month of trading. The 6-month lookback (`@history_start`) establishes the historical range, while `@display_start` limits output to the last month. Standard deviation uses the variance formula `sqrt(avg(x²) - avg(x)²)`.
+The query first aggregates 15-minute candles into daily OHLC, then calculates standard 20-day Bollinger Bands. This matches the traditional approach where SMA20 represents roughly one month of trading. The 6-month lookback (`@history`) establishes the historical range, while `@display` limits output to the last month. Standard deviation uses the variance formula `sqrt(avg(x²) - avg(x)²)`.
 
 The `range_position` shows where current BandWidth falls within the 6-month range: 0% means at the historical minimum, 100% at the maximum. This works well for identifying squeeze conditions since you're comparing against historical extremes.
 

documentation/cookbook/sql/finance/liquidity-comparison.md

@@ -18,7 +18,7 @@ You have order book snapshots for multiple instruments and want to compare which
 WITH latest_books AS (
   SELECT timestamp, symbol, bids, asks
   FROM market_data
-  WHERE timestamp IN today()
+  WHERE timestamp IN '$today'
   LATEST ON timestamp PARTITION BY symbol
 )
 SELECT
@@ -49,7 +49,7 @@ SELECT
   last((L2PRICE(100_000, asks[2], asks[1]) - L2PRICE(100_000, bids[2], bids[1])) /
     ((L2PRICE(100_000, asks[2], asks[1]) + L2PRICE(100_000, bids[2], bids[1])) / 2)) * 10_000 AS spread_bps
 FROM market_data
-WHERE timestamp IN today()
+WHERE timestamp IN '$today'
   AND symbol IN ('EURUSD', 'GBPUSD', 'USDJPY')
 SAMPLE BY 1h
 ORDER BY timestamp, symbol;
@@ -63,7 +63,7 @@ See how execution costs scale with order size:
 WITH latest_books AS (
   SELECT symbol, bids, asks
   FROM market_data
-  WHERE timestamp IN today()
+  WHERE timestamp IN '$today'
   LATEST ON timestamp PARTITION BY symbol
 )
 SELECT

documentation/cookbook/sql/finance/ohlc.md

@@ -22,7 +22,7 @@ SELECT
   last(price) AS close,
   sum(quantity) AS total_volume
 FROM fx_trades
-WHERE timestamp IN today()
+WHERE timestamp IN '$today'
 SAMPLE BY 1m;
 ```
 

documentation/cookbook/sql/finance/rolling-stddev.md

@@ -25,7 +25,7 @@ WITH stats AS (
     AVG(price) OVER (PARTITION BY symbol ORDER BY timestamp) AS rolling_avg,
     AVG(price * price) OVER (PARTITION BY symbol ORDER BY timestamp) AS rolling_avg_sq
   FROM fx_trades
-  WHERE timestamp IN yesterday() AND symbol = 'EURUSD'
+  WHERE timestamp IN '$yesterday' AND symbol = 'EURUSD'
 )
 SELECT
   timestamp,

documentation/cookbook/sql/finance/tick-trin.md

@@ -22,7 +22,7 @@ WITH with_previous AS (
   SELECT timestamp, symbol, price,
     LAG(price) OVER (PARTITION BY symbol ORDER BY timestamp) AS prev_price
   FROM fx_trades
-  WHERE timestamp IN today()
+  WHERE timestamp IN '$today'
 ),
 classified AS (
   SELECT  symbol,
@@ -64,7 +64,7 @@ WITH daily_stats AS (
     last(price) AS current_price,
     sum(quantity) AS total_volume
   FROM fx_trades
-  WHERE timestamp IN today()
+  WHERE timestamp IN '$today'
   SAMPLE BY 1d
 ),
 classified AS (
@@ -94,7 +94,7 @@ WITH candles AS (
     last(price) AS close_price,
     sum(quantity) AS total_volume
   FROM fx_trades
-  WHERE timestamp IN today()
+  WHERE timestamp IN '$today'
   SAMPLE BY 5m
 ),
 with_previous AS (

documentation/cookbook/sql/finance/volume-profile.md

@@ -17,7 +17,7 @@ SELECT
   round(SUM(quantity), 2) AS volume
 FROM fx_trades
 WHERE symbol = 'EURUSD'
-  AND timestamp IN today()
+  AND timestamp IN '$today'
 ORDER BY price_bin;
 ```
 
@@ -31,7 +31,7 @@ For consistent histograms across different price ranges, calculate the tick size
 WITH raw_data AS (
   SELECT price, quantity
   FROM fx_trades
-  WHERE symbol = 'EURUSD' AND timestamp IN today()
+  WHERE symbol = 'EURUSD' AND timestamp IN '$today'
 ),
 tick_size AS (
   SELECT (max(price) - min(price)) / 49 as tick_size

documentation/cookbook/sql/finance/volume-spike.md

@@ -16,16 +16,15 @@ Use the `LAG` window function to retrieve the previous candle's volume, then com
 
 ```questdb-sql demo title="Detect volume spikes exceeding 2x previous volume"
 DECLARE
-  @anchor_date := timestamp_floor('30s', now()),
-  @start_date := dateadd('h', -7, @anchor_date),
+  @range := '$now - 7h..$now',
   @symbol := 'EURUSD'
 WITH candles AS (
   SELECT
     timestamp,
     symbol,
     sum(quantity) AS volume
   FROM fx_trades
-  WHERE timestamp >= @start_date
+  WHERE timestamp IN @range
     AND symbol = @symbol
   SAMPLE BY 30s
 ),