Crypto Fields Reference

Complete reference for all 3,108 cryptocurrency fields available in the CryptoScreener.

Overview

The CryptoField enum provides 3,108 total fields with full parity to the Python tvscreener library. These fields cover:

Price & Volume Metrics: 136 fields for current and historical price/volume data
Technical Indicators: 2,400+ fields including Moving Averages, RSI, MACD, Bollinger Bands, Stochastic, ADX, and more
Candlestick Patterns: 270 boolean fields for pattern recognition
Pivot Points: 310 fields for Camarilla and other pivot calculations
Recommendations: 63 fields for technical ratings and signals
Fundamental Data: Market cap, supply metrics, and asset information
Metadata: Names, descriptions, sectors, and exchange information

Key Capabilities

2,673 fields support time intervals (1m, 5m, 15m, 30m, 1h, 4h, 1D, 1W, 1M)
839 fields support historical data via .withHistory()
11 data formats: float, percent, bool, rating, text, currency, date, and more

Field Categories

1. Price & Volume (136 Fields)

Core OHLCV data and 24-hour metrics.

Basic Price Data

typescript

CryptoField.PRICE                    // Current price (close)
CryptoField.OPEN                     // Open price
CryptoField.HIGH                     // High price
CryptoField.LOW                      // Low price
CryptoField.VOLUME                   // Trading volume

24-Hour Metrics

typescript

CryptoField.CHANGE_PERCENT           // 24h price change %
CryptoField.CHANGE                   // 24h price change (absolute)
CryptoField.VOLUME_24H_IN_USD        // 24h volume in USD
CryptoField.VOLUME_24H_CHANGE_PERCENT // 24h volume change %
CryptoField.N24H_VOL_TO_MARKET_CAP   // Volume to market cap ratio

Multi-Timeframe Changes

typescript

CryptoField.CHANGE_1MIN_PERCENT      // 1 minute change %
CryptoField.CHANGE_5MIN_PERCENT      // 5 minute change %
CryptoField.CHANGE_15MIN_PERCENT     // 15 minute change %
CryptoField.CHANGE_1H_PERCENT        // 1 hour change %
CryptoField.CHANGE_4H_PERCENT        // 4 hour change %
CryptoField.CHANGE_1W_PERCENT        // 1 week change %
CryptoField.CHANGE_1M_PERCENT        // 1 month change %

Historical Price Levels

typescript

CryptoField.WEEK_HIGH_52             // 52-week high
CryptoField.WEEK_LOW_52              // 52-week low
CryptoField.PRICE_52_WEEK_HIGH_DATE  // Date of 52-week high
CryptoField.PRICE_52_WEEK_LOW_DATE   // Date of 52-week low

2. Technical Indicators (2,400+ Fields)

Comprehensive technical analysis indicators with interval and historical support.

Moving Averages (630 Fields)

Simple, Exponential, and Volume-Weighted Moving Averages.

Simple Moving Average (SMA)

typescript

CryptoField.SIMPLE_MOVING_AVERAGE_10  // SMA(10)
CryptoField.SIMPLE_MOVING_AVERAGE_20  // SMA(20)
CryptoField.SIMPLE_MOVING_AVERAGE_50  // SMA(50)
CryptoField.SIMPLE_MOVING_AVERAGE_100 // SMA(100)
CryptoField.SIMPLE_MOVING_AVERAGE_200 // SMA(200)

Exponential Moving Average (EMA)

typescript

CryptoField.EXPONENTIAL_MOVING_AVERAGE_10  // EMA(10)
CryptoField.EXPONENTIAL_MOVING_AVERAGE_20  // EMA(20)
CryptoField.EXPONENTIAL_MOVING_AVERAGE_50  // EMA(50)
CryptoField.EXPONENTIAL_MOVING_AVERAGE_100 // EMA(100)
CryptoField.EXPONENTIAL_MOVING_AVERAGE_200 // EMA(200)

Volume-Weighted Moving Average (VWMA)

typescript

CryptoField.VOLUME_WEIGHTED_MOVING_AVERAGE_20 // VWMA(20)

With Time Intervals

typescript

// 1-minute timeframe
CryptoField.EMA100_1                 // EMA(100) on 1m chart
CryptoField.SMA200_1                 // SMA(200) on 1m chart

// 1-hour timeframe
CryptoField.EMA100_60                // EMA(100) on 1h chart
CryptoField.SMA200_60                // SMA(200) on 1h chart

// Daily timeframe
CryptoField.EMA100_1D                // EMA(100) on daily chart

RSI - Relative Strength Index (250 Fields)

RSI with multiple periods and historical data support.

typescript

CryptoField.RELATIVE_STRENGTH_INDEX_14 // RSI(14) - default
CryptoField.RSI10                      // RSI(10)
CryptoField.RSI7                       // RSI(7)

// Historical RSI values
CryptoField.RSI10_1                    // RSI(10) 1 bar ago
CryptoField.RSI10_2                    // RSI(10) 2 bars ago

// With time intervals
CryptoField.RSI10_60                   // RSI(10) on 1h chart
CryptoField.RSI10_1_60                 // RSI(10)[1] on 1h chart

MACD (30 Fields)

Moving Average Convergence Divergence indicator.

typescript

CryptoField.MACD_LEVEL_12_26          // MACD line
CryptoField.MACD_SIGNAL_12_26         // MACD signal line
CryptoField.MACD_HIST                 // MACD histogram

// With intervals
CryptoField.MACD_HIST_1               // MACD histogram on 1m
CryptoField.MACD_HIST_60              // MACD histogram on 1h
CryptoField.MACD_HIST_1D              // MACD histogram on daily

Bollinger Bands (80 Fields)

Standard Bollinger Bands with 20-period and 50-period variants.

typescript

CryptoField.BOLLINGER_UPPER_BAND_20   // Upper band (20)
CryptoField.BB_BASIS                  // Middle band / SMA(20)
CryptoField.BOLLINGER_LOWER_BAND_20   // Lower band (20)

// BB(50)
CryptoField.BB_BASIS_50               // 50-period basis
CryptoField.BB_LOWER_50               // 50-period lower band
CryptoField.BB_UPPER_50               // 50-period upper band

// With intervals
CryptoField.BB_UPPER_50_60            // 50-period upper on 1h
CryptoField.BB_BASIS_50_1D            // 50-period basis on daily

Stochastic (230 Fields)

Stochastic oscillator and Stochastic RSI.

typescript

CryptoField.STOCHASTIC_PERCENTK_14_3_3  // Stochastic %K (14,3,3)
CryptoField.STOCHASTIC_PERCENTD_14_3_3  // Stochastic %D (14,3,3)
CryptoField.REC_STOCH_RSI               // Stoch RSI recommendation

// With intervals
CryptoField.STOCH_K_1_60              // %K[1] on 1h chart
CryptoField.STOCH_D_1_1D              // %D[1] on daily chart

ADX - Average Directional Index (250 Fields)

Trend strength and directional movement indicators.

typescript

CryptoField.AVERAGE_DIRECTIONAL_INDEX_14          // ADX(14)
CryptoField.POSITIVE_DIRECTIONAL_INDICATOR_14     // +DI(14)
CryptoField.NEGATIVE_DIRECTIONAL_INDICATOR_14     // -DI(14)

// Historical values
CryptoField.ADX_PLUS_DI_1             // +DI 1 bar ago
CryptoField.ADX_MINUS_DI_1            // -DI 1 bar ago

// With intervals
CryptoField.ADX_PLUS_DI_1_60          // +DI[1] on 1h chart

Other Technical Indicators (200+ Fields)

Additional momentum, volatility, and trend indicators.

Average True Range (ATR)

typescript

CryptoField.AVERAGE_DAY_RANGE_14      // ADR(14)
CryptoField.ADRP                      // ADR Percentage

Awesome Oscillator (AO)

typescript

CryptoField.AWESOME_OSCILLATOR        // Awesome Oscillator
CryptoField.AO_1                      // AO 1 bar ago
CryptoField.AO_2                      // AO 2 bars ago

Momentum

typescript

CryptoField.MOMENTUM_10               // Momentum(10)

Commodity Channel Index

typescript

CryptoField.COMMODITY_CHANNEL_INDEX_20  // CCI(20)
CryptoField.CCI20_1                     // CCI(20) 1 bar ago

Williams %R

typescript

CryptoField.WILLIAMS_PERCENT_RANGE_14 // Williams %R (14)

Ichimoku Cloud

typescript

CryptoField.ICHIMOKU_CONVERSION_LINE_9_26_52_26  // Tenkan-sen (9,26,52,26)
CryptoField.ICHIMOKU_BASE_LINE_9_26_52_26        // Kijun-sen (9,26,52,26)

Ultimate Oscillator

typescript

CryptoField.ULTIMATE_OSCILLATOR_7_14_28  // UO (7,14,28)

Parabolic SAR

typescript

CryptoField.PARABOLIC_SAR             // P.SAR
CryptoField.P_SAR_1                   // P.SAR on 1m
CryptoField.P_SAR_60                  // P.SAR on 1h

3. Candlestick Patterns (270 Fields)

Boolean fields indicating the presence of candlestick patterns.

typescript

// Bearish Patterns
CryptoField.CANDLE_3BLACKCROWS        // Three Black Crows
CryptoField.CANDLE_SHOOTINGSTAR       // Shooting Star
CryptoField.CANDLE_HANGINGMAN         // Hanging Man
CryptoField.CANDLE_EVENINGSTAR        // Evening Star
CryptoField.CANDLE_DARKCLOUDCOVER     // Dark Cloud Cover

// Bullish Patterns
CryptoField.CANDLE_3WHITESOLDIERS     // Three White Soldiers
CryptoField.CANDLE_HAMMER             // Hammer
CryptoField.CANDLE_INVERTEDHAMMER     // Inverted Hammer
CryptoField.CANDLE_MORNINGSTAR        // Morning Star
CryptoField.CANDLE_PIERCINGLINE       // Piercing Line

// Reversal Patterns
CryptoField.CANDLE_DOJI               // Doji
CryptoField.CANDLE_DRAGONFLYDOJI      // Dragonfly Doji
CryptoField.CANDLE_GRAVESTONEDOJI     // Gravestone Doji
CryptoField.CANDLE_ENGULFING_BEARISH  // Bearish Engulfing
CryptoField.CANDLE_ENGULFING_BULLISH  // Bullish Engulfing

// With time intervals
CryptoField.CANDLE_HAMMER_60          // Hammer on 1h chart
CryptoField.CANDLE_DOJI_1D            // Doji on daily chart

Usage Example:

typescript

screener
  .where(CryptoField.CANDLE_HAMMER.eq(true))
  .where(CryptoField.RSI10.lt(30))
  .select(CryptoField.NAME, CryptoField.PRICE, CryptoField.RSI10);

4. Pivot Points (310 Fields)

Camarilla and standard pivot point calculations.

typescript

// Camarilla Pivots
CryptoField.PIVOT_CAMARILLA_P         // Camarilla pivot point
CryptoField.PIVOT_CAMARILLA_R1        // Resistance 1
CryptoField.PIVOT_CAMARILLA_R2        // Resistance 2
CryptoField.PIVOT_CAMARILLA_R3        // Resistance 3
CryptoField.PIVOT_CAMARILLA_S1        // Support 1
CryptoField.PIVOT_CAMARILLA_S2        // Support 2
CryptoField.PIVOT_CAMARILLA_S3        // Support 3

// With time intervals
CryptoField.PIVOT_M_CAMARILLA_MIDDLE_60   // Camarilla P on 1h
CryptoField.PIVOT_M_CAMARILLA_R1_1D       // Camarilla R1 on daily

5. Recommendations & Ratings (63 Fields)

Technical analysis recommendations and rating signals.

typescript

CryptoField.TECHNICAL_RATING          // Overall technical rating
CryptoField.MOVING_AVERAGES_RATING    // MA rating
CryptoField.OSCILLATORS_RATING        // Oscillator rating

// Individual indicator recommendations
CryptoField.RELATIVE_STRENGTH_INDEX_14   // RSI recommendation
CryptoField.EXPONENTIAL_MOVING_AVERAGE_10 // EMA(10) recommendation
CryptoField.SIMPLE_MOVING_AVERAGE_20     // SMA(20) recommendation
CryptoField.MACD_LEVEL_12_26            // MACD recommendation
CryptoField.AVERAGE_DIRECTIONAL_INDEX_14 // ADX recommendation

// With intervals
CryptoField.RECOMMEND_ALL_60          // Technical rating on 1h
CryptoField.RECOMMEND_MA_1D           // MA rating on daily

Rating Values:

Strong Buy: 1.0 to 0.5
Buy: 0.5 to 0.1
Neutral: 0.1 to -0.1
Sell: -0.1 to -0.5
Strong Sell: -0.5 to -1.0

6. Fundamental Data

Market capitalization, supply metrics, and asset information.

Market Cap & Supply

typescript

CryptoField.MARKET_CAPITALIZATION     // Total market cap
CryptoField.FULLY_DILUTED_MARKET_CAP  // Fully diluted market cap
CryptoField.CIRCULATING_SUPPLY        // Circulating supply
CryptoField.TOTAL_SUPPLY              // Total supply
CryptoField.MAX_SUPPLY                // Maximum supply
CryptoField.CIRCULATING_TO_MAX_SUPPLY_RATIO // Circ/max ratio

Volume & Liquidity

typescript

CryptoField.VOLUME_24H_IN_USD         // 24h volume
CryptoField.N24H_VOL_TO_MARKET_CAP    // Volume/Market cap ratio
CryptoField.MARKET_CAP_TO_TVL         // Market cap to TVL ratio

Metadata

typescript

CryptoField.NAME                      // Cryptocurrency name
CryptoField.DESCRIPTION               // Asset description
CryptoField.SECTOR                    // Sector classification
CryptoField.TYPE                      // Asset type
CryptoField.SUBTYPE                   // Asset subtype
CryptoField.LOGOID                    // Logo identifier

Time Intervals

2,673 fields support time intervals, allowing you to analyze data across different timeframes.

Available Intervals

Interval	Suffix	Description
1 minute	`_1` or `\|1`	1-minute chart
5 minutes	`_5` or `\|5`	5-minute chart
15 minutes	`_15` or `\|15`	15-minute chart
30 minutes	`_30` or `\|30`	30-minute chart
1 hour	`_60` or `\|60`	1-hour chart
2 hours	`_120` or `\|120`	2-hour chart
4 hours	`_240` or `\|240`	4-hour chart
1 day	`_1D` or `\|1D`	Daily chart (default)
1 week	`_1W` or `\|1W`	Weekly chart
1 month	`_1M` or `\|1M`	Monthly chart

Field Naming Pattern

Fields with interval support follow this pattern:

BASE_NAME + INTERVAL_SUFFIX

Examples:

typescript

// RSI on different timeframes
CryptoField.RSI10                // Daily (default)
CryptoField.RSI10_1              // 1-minute
CryptoField.RSI10_5              // 5-minute
CryptoField.RSI10_60             // 1-hour
CryptoField.RSI10_240            // 4-hour
CryptoField.RSI10_1W             // Weekly

// EMA on different timeframes
CryptoField.EMA100               // Daily
CryptoField.EMA100_15            // 15-minute
CryptoField.EMA100_60            // 1-hour
CryptoField.EMA100_1D            // Daily (explicit)
CryptoField.EMA100_1M            // Monthly

// Bollinger Bands
CryptoField.BB_UPPER             // Daily
CryptoField.BB_UPPER_5           // 5-minute
CryptoField.BB_UPPER_60          // 1-hour

Multi-Timeframe Analysis

Combine indicators from different timeframes:

typescript

screener
  // Bullish on daily
  .where(CryptoField.RSI10.lt(30))
  .where(CryptoField.RECOMMEND_ALL.gt(0))

  // Strong momentum on 1-hour
  .where(CryptoField.RSI10_60.gt(60))
  .where(CryptoField.MACD_HIST_60.gt(0))

  .select(
    CryptoField.NAME,
    CryptoField.PRICE,
    CryptoField.RSI10,      // Daily RSI
    CryptoField.RSI10_60    // 1-hour RSI
  );

Historical Data

839 fields support historical data via the .withHistory() method.

How Historical Data Works

Historical data allows you to access indicator values from previous bars/candles:

typescript

// Current value
CryptoField.RSI10                // RSI now

// Historical values
CryptoField.RSI10_1              // RSI 1 bar ago
CryptoField.RSI10_2              // RSI 2 bars ago

Fields with Historical Support

RSI: All RSI variants (218 fields)
Stochastic: Stochastic and Stoch RSI (229 fields)
ADX: +DI and -DI indicators (266 fields)
Other: Selected momentum and trend indicators (126 fields)

Historical Data Examples

RSI Crossover Detection:

typescript

screener
  .where(CryptoField.RSI10.gt(50))      // Current RSI above 50
  .where(CryptoField.RSI10_1.lt(50))    // Previous RSI below 50
  .select(
    CryptoField.NAME,
    CryptoField.RSI10,
    CryptoField.RSI10_1
  );
// Finds cryptos where RSI just crossed above 50

Stochastic Signal:

typescript

screener
  .where(CryptoField.STOCHASTIC_PERCENTK_14_3_3.gt(
    CryptoField.STOCHASTIC_PERCENTD_14_3_3
  ))
  .where(CryptoField.STOCH_K_1.lt(CryptoField.STOCH_D_1))
  .select(
    CryptoField.NAME,
    CryptoField.STOCHASTIC_PERCENTK_14_3_3,
    CryptoField.STOCHASTIC_PERCENTD_14_3_3
  );
// Stochastic %K crossing above %D

ADX Trend Strength:

typescript

screener
  .where(CryptoField.ADX_PLUS_DI.gt(CryptoField.ADX_MINUS_DI))
  .where(CryptoField.ADX_PLUS_DI_1.lt(CryptoField.ADX_MINUS_DI_1))
  .select(CryptoField.NAME, CryptoField.ADX_PLUS_DI, CryptoField.ADX_MINUS_DI);
// +DI crossing above -DI

Multi-Timeframe Historical Analysis:

typescript

screener
  // 1-hour chart: RSI was oversold, now recovering
  .where(CryptoField.RSI10_60.gt(35))
  .where(CryptoField.RSI10_1_60.lt(30))

  // Daily chart: Still in uptrend
  .where(CryptoField.EXPONENTIAL_MOVING_AVERAGE_50.gt(
    CryptoField.EXPONENTIAL_MOVING_AVERAGE_200
  ))

  .select(
    CryptoField.NAME,
    CryptoField.RSI10_60,      // Current 1h RSI
    CryptoField.RSI10_1_60     // Previous 1h RSI
  );

Complete Field Count by Format

Format	Count	Description	Example Fields
`float`	2,306	Numeric values	RSI, EMA, ADX, MACD
`bool`	270	Boolean flags	Candlestick patterns
`number_group`	147	Large numbers with grouping	Volume, Market Cap
`percent`	134	Percentage values	Change %, Volume Change %
`rating`	100	Technical ratings (-1 to 1)	Recommendations
`round`	42	Rounded numeric values	Price changes
`computed_recommendation`	28	Indicator recommendations	SMA, EMA, RSI signals
`text`	16	Text strings	Name, Description, Sector
`date`	55	Date values	52-week high date
`missing`	6	Unavailable data	Some market cap fields
`recommendation`	4	Overall recommendations	Buy/Sell/Neutral
Total	3,108

Field Naming Conventions

Understanding field naming patterns helps you find the right field.

Pattern 1: Base Indicators

Standard indicators without suffixes (use default/daily timeframe):

typescript

CryptoField.RSI10                // RSI(10) on daily
CryptoField.EMA50                // EMA(50) on daily
CryptoField.MACD_HIST            // MACD histogram on daily

Pattern 2: Interval Suffix

Indicators with |N or _N suffixes specify timeframes:

typescript

CryptoField.RSI10_60             // RSI(10) on 1-hour
CryptoField.EMA50_15             // EMA(50) on 15-minute
CryptoField.MACD_HIST_240        // MACD histogram on 4-hour

Pattern 3: Historical Suffix

Indicators with [N] specify historical bars:

typescript

CryptoField.RSI10_1              // RSI(10) 1 bar ago
CryptoField.ADX_PLUS_DI_1        // +DI 1 bar ago

Pattern 4: Combined Suffixes

Historical data on specific timeframes:

typescript

CryptoField.RSI10_1_60           // RSI(10)[1] on 1-hour
CryptoField.ADX_PLUS_DI_1_240    // +DI[1] on 4-hour

Pattern 5: Boolean Patterns

Candlestick patterns use dot notation:

typescript

CryptoField.CANDLE_HAMMER        // Hammer pattern (daily)
CryptoField.CANDLE_HAMMER_60     // Hammer pattern on 1-hour

Pattern 6: Dot-Separated Components

Multi-part indicators use dots:

typescript

CryptoField.BB_UPPER             // BB.upper (Bollinger upper band)
CryptoField.MACD_HIST            // MACD.hist (MACD histogram)
CryptoField.RECOMMEND_ALL        // Recommend.All (overall rating)

Constant Name Transformations

Field names are transformed to TypeScript constant names:

Pattern	Field Name	Constant Name
Dots	`BB.upper`	`BB_UPPER`
Pipes	`RSI10\|60`	`RSI10_60`
Brackets	`RSI10[1]`	`RSI10_1`
Hyphens	`24h-vol`	`N24H_VOL`
Spaces	`Market Cap`	`MARKET_CAP`
Starting digit	`24h_vol`	`N24H_VOL`

Usage Examples

Example 1: Top Gainers with High Volume

typescript

import { CryptoScreener, CryptoField } from 'tradingview-screener';

const screener = new CryptoScreener();

screener
  .where(CryptoField.CHANGE_PERCENT.gt(10))
  .where(CryptoField.VOLUME_24H_IN_USD.gte(50_000_000))
  .where(CryptoField.MARKET_CAPITALIZATION.gt(100_000_000))
  .select(
    CryptoField.NAME,
    CryptoField.PRICE,
    CryptoField.CHANGE_PERCENT,
    CryptoField.VOLUME_24H_IN_USD,
    CryptoField.MARKET_CAPITALIZATION
  )
  .sortBy(CryptoField.CHANGE_PERCENT, false);

const results = await screener.get();

Example 2: Oversold RSI with Bullish MA Crossover

typescript

screener
  .where(CryptoField.RSI10.lt(30))                                        // Oversold RSI
  .where(CryptoField.EXPONENTIAL_MOVING_AVERAGE_50.gt(
    CryptoField.EXPONENTIAL_MOVING_AVERAGE_200
  ))    // Golden cross
  .where(CryptoField.VOLUME_24H_IN_USD.gte(10_000_000))
  .select(
    CryptoField.NAME,
    CryptoField.PRICE,
    CryptoField.RSI10,
    CryptoField.EXPONENTIAL_MOVING_AVERAGE_50,
    CryptoField.EXPONENTIAL_MOVING_AVERAGE_200
  )
  .sortBy(CryptoField.RSI10);

Example 3: Multi-Timeframe Momentum

typescript

screener
  // Daily: Uptrend
  .where(CryptoField.EXPONENTIAL_MOVING_AVERAGE_50.gt(
    CryptoField.EXPONENTIAL_MOVING_AVERAGE_200
  ))
  .where(CryptoField.TECHNICAL_RATING.gt(0))

  // 1-hour: Recent oversold recovery
  .where(CryptoField.RSI10_60.between(35, 50))
  .where(CryptoField.RSI10_1_60.lt(30))

  // Volume confirmation
  .where(CryptoField.VOLUME_24H_IN_USD.gte(25_000_000))

  .select(
    CryptoField.NAME,
    CryptoField.PRICE,
    CryptoField.RSI10,           // Daily RSI
    CryptoField.RSI10_60,        // 1h RSI current
    CryptoField.RSI10_1_60,      // 1h RSI previous
    CryptoField.TECHNICAL_RATING
  );

Example 4: Bollinger Band Squeeze

typescript

screener
  .where(CryptoField.PRICE.gt(CryptoField.BOLLINGER_UPPER_BAND_20))
  .where(CryptoField.RSI10.gt(70))
  .where(CryptoField.VOLUME_24H_CHANGE_PERCENT.gt(20))
  .select(
    CryptoField.NAME,
    CryptoField.PRICE,
    CryptoField.BOLLINGER_UPPER_BAND_20,
    CryptoField.BB_BASIS,
    CryptoField.BOLLINGER_LOWER_BAND_20,
    CryptoField.RSI10
  )
  .sortBy(CryptoField.VOLUME_24H_CHANGE_PERCENT, false);

Example 5: Candlestick Pattern Scanner

typescript

screener
  .where(CryptoField.CANDLE_HAMMER.eq(true))
  .where(CryptoField.RSI10.lt(35))
  .where(CryptoField.TECHNICAL_RATING.lt(0))
  .where(CryptoField.MARKET_CAPITALIZATION.gt(50_000_000))
  .select(
    CryptoField.NAME,
    CryptoField.PRICE,
    CryptoField.CHANGE_PERCENT,
    CryptoField.RSI10,
    CryptoField.CANDLE_HAMMER
  );

Example 6: MACD Crossover

typescript

screener
  .where(CryptoField.MACD_HIST.gt(0))                // MACD above signal
  .where(CryptoField.MACD_HIST_1.lt(0))              // Was below (crossover)
  .where(CryptoField.VOLUME_24H_IN_USD.gte(15_000_000))
  .select(
    CryptoField.NAME,
    CryptoField.PRICE,
    CryptoField.MACD_LEVEL_12_26,
    CryptoField.MACD_SIGNAL_12_26,
    CryptoField.MACD_HIST
  )
  .sortBy(CryptoField.MACD_HIST, false);

Example 7: Strong Trend with ADX

typescript

screener
  .where(CryptoField.AVERAGE_DIRECTIONAL_INDEX_14.gt(25))        // Strong trend
  .where(CryptoField.POSITIVE_DIRECTIONAL_INDICATOR_14.gt(
    CryptoField.NEGATIVE_DIRECTIONAL_INDICATOR_14
  ))  // Uptrend
  .where(CryptoField.RSI10.between(50, 70))
  .select(
    CryptoField.NAME,
    CryptoField.PRICE,
    CryptoField.AVERAGE_DIRECTIONAL_INDEX_14,
    CryptoField.POSITIVE_DIRECTIONAL_INDICATOR_14,
    CryptoField.NEGATIVE_DIRECTIONAL_INDICATOR_14,
    CryptoField.RSI10
  );

Example 8: High Technical Rating

typescript

screener
  .where(CryptoField.TECHNICAL_RATING.gte(0.5))          // Strong Buy
  .where(CryptoField.MOVING_AVERAGES_RATING.gte(0.5))    // MA confirms
  .where(CryptoField.OSCILLATORS_RATING.gte(0.1))        // Oscillators agree
  .where(CryptoField.VOLUME_24H_IN_USD.gte(20_000_000))
  .select(
    CryptoField.NAME,
    CryptoField.PRICE,
    CryptoField.TECHNICAL_RATING,
    CryptoField.MOVING_AVERAGES_RATING,
    CryptoField.OSCILLATORS_RATING,
    CryptoField.CHANGE_PERCENT
  )
  .sortBy(CryptoField.TECHNICAL_RATING, false);

Working with Results

Accessing Field Values

Field values are accessed using the fieldName property:

typescript

const results = await screener.get();

results.data.forEach(crypto => {
  // Simple field names
  console.log(`${crypto.name}: $${crypto.close}`);
  console.log(`Change: ${crypto.change}%`);

  // Fields with special characters need bracket notation
  console.log(`Volume: $${crypto['24h_vol|5']}`);
  console.log(`RSI: ${crypto.RSI10}`);
  console.log(`RSI 1h: ${crypto['RSI10|60']}`);

  // Dot notation for sub-properties
  console.log(`BB Upper: ${crypto['BB.upper']}`);
  console.log(`MACD Hist: ${crypto['MACD.hist']}`);
});

Field Name Mapping Reference

Constant	fieldName	Access
`NAME`	`name`	`row.name`
`PRICE`	`close`	`row.close`
`CHANGE_PERCENT`	`change`	`row.change`
`VOLUME_24H_IN_USD`	`24h_vol\|5`	`row['24h_vol\|5']`
`RSI10`	`RSI10`	`row.RSI10`
`RSI10_60`	`RSI10\|60`	`row['RSI10\|60']`
`RSI10_1`	`RSI10[1]`	`row['RSI10[1]']`
`BB_UPPER`	`BB.upper`	`row['BB.upper']`
`MACD_HIST`	`MACD.hist`	`row['MACD.hist']`
`CANDLE_HAMMER`	`Candle.Hammer`	`row['Candle.Hammer']`

Finding Fields

Method 1: Search the Generated Types

The CryptoField enum is fully typed with all 3,108 fields. Use TypeScript autocomplete:

typescript

CryptoField.  // Autocomplete shows all available fields

Method 2: Check the JSON Reference

All field definitions are available in /tmp/python_crypto_fields.json with complete metadata:

json

{
  "constantName": "RSI10_60",
  "label": "RSI 10|60",
  "fieldName": "RSI10|60",
  "format": "float",
  "interval": true,
  "historical": true
}

Method 3: Pattern Matching

Use naming conventions to find fields:

Moving averages: SMA*, EMA*, VWMA*
RSI: RSI*, RELATIVE_STRENGTH_INDEX*
MACD: MACD*
Bollinger: BB*, BOLLINGER*
Candlestick: CANDLE_*
Recommendations: RECOMMEND*, TECHNICAL_RATING*

Next Steps

Crypto Screener Guide - Complete guide to using CryptoScreener
Filter Operations - All comparison operators
Complex Queries - Building advanced queries

Crypto Fields Reference ​

Overview ​

Key Capabilities ​

Field Categories ​

1. Price & Volume (136 Fields) ​

Basic Price Data ​

24-Hour Metrics ​

Multi-Timeframe Changes ​

Historical Price Levels ​

2. Technical Indicators (2,400+ Fields) ​

Moving Averages (630 Fields) ​

RSI - Relative Strength Index (250 Fields) ​

MACD (30 Fields) ​

Bollinger Bands (80 Fields) ​

Stochastic (230 Fields) ​

ADX - Average Directional Index (250 Fields) ​

Other Technical Indicators (200+ Fields) ​

3. Candlestick Patterns (270 Fields) ​

4. Pivot Points (310 Fields) ​

5. Recommendations & Ratings (63 Fields) ​

6. Fundamental Data ​

Market Cap & Supply ​

Volume & Liquidity ​

Metadata ​

Time Intervals ​

Available Intervals ​

Field Naming Pattern ​

Multi-Timeframe Analysis ​

Historical Data ​

How Historical Data Works ​

Fields with Historical Support ​

Historical Data Examples ​

Complete Field Count by Format ​

Field Naming Conventions ​

Pattern 1: Base Indicators ​

Pattern 2: Interval Suffix ​

Pattern 3: Historical Suffix ​

Pattern 4: Combined Suffixes ​

Pattern 5: Boolean Patterns ​

Pattern 6: Dot-Separated Components ​

Constant Name Transformations ​

Usage Examples ​

Example 1: Top Gainers with High Volume ​

Example 2: Oversold RSI with Bullish MA Crossover ​

Example 3: Multi-Timeframe Momentum ​

Example 4: Bollinger Band Squeeze ​

Example 5: Candlestick Pattern Scanner ​

Example 6: MACD Crossover ​

Example 7: Strong Trend with ADX ​

Example 8: High Technical Rating ​

Working with Results ​

Accessing Field Values ​

Field Name Mapping Reference ​

Finding Fields ​

Method 1: Search the Generated Types ​

Method 2: Check the JSON Reference ​

Method 3: Pattern Matching ​

Next Steps ​

Crypto Fields Reference

Overview

Key Capabilities

Field Categories

1. Price & Volume (136 Fields)

Basic Price Data

24-Hour Metrics

Multi-Timeframe Changes

Historical Price Levels

2. Technical Indicators (2,400+ Fields)

Moving Averages (630 Fields)

RSI - Relative Strength Index (250 Fields)

MACD (30 Fields)

Bollinger Bands (80 Fields)

Stochastic (230 Fields)

ADX - Average Directional Index (250 Fields)

Other Technical Indicators (200+ Fields)

3. Candlestick Patterns (270 Fields)

4. Pivot Points (310 Fields)

5. Recommendations & Ratings (63 Fields)

6. Fundamental Data

Market Cap & Supply

Volume & Liquidity

Metadata

Time Intervals

Available Intervals

Field Naming Pattern

Multi-Timeframe Analysis

Historical Data

How Historical Data Works

Fields with Historical Support

Historical Data Examples

Complete Field Count by Format

Field Naming Conventions

Pattern 1: Base Indicators

Pattern 2: Interval Suffix

Pattern 3: Historical Suffix

Pattern 4: Combined Suffixes

Pattern 5: Boolean Patterns

Pattern 6: Dot-Separated Components

Constant Name Transformations

Usage Examples

Example 1: Top Gainers with High Volume

Example 2: Oversold RSI with Bullish MA Crossover

Example 3: Multi-Timeframe Momentum

Example 4: Bollinger Band Squeeze

Example 5: Candlestick Pattern Scanner

Example 6: MACD Crossover

Example 7: Strong Trend with ADX

Example 8: High Technical Rating

Working with Results

Accessing Field Values

Field Name Mapping Reference

Finding Fields

Method 1: Search the Generated Types

Method 2: Check the JSON Reference

Method 3: Pattern Matching

Next Steps