Coin Screener¶

Screen coins from CoinGecko data.

Quick Start¶

from tvscreener import CoinScreener, CoinField

cs = CoinScreener()
df = cs.get()

Field Count¶

The Coin Screener has access to ~3,026 fields covering:

Price & market data
On-chain metrics
Technical indicators
Performance data

Difference from Crypto Screener¶

Feature	CoinScreener	CryptoScreener
Data Source	CoinGecko-style	TradingView exchanges
Focus	Coins/tokens	Trading pairs
Metrics	Market cap, supply	Exchange volume

Common Fields¶

Price & Market¶

CoinField.CLOSE                  # Current price
CoinField.MARKET_CAP_CALC          # Market cap
CoinField.CHANGE         # 24h change
CoinField.N24H_VOL_CMC           # 24h volume

Technical¶

CoinField.RSI    # RSI(14)
CoinField.MACD_MACD              # MACD
CoinField.SMA50      # SMA 50
CoinField.SMA200     # SMA 200

Performance¶

CoinField.PERF_W                  # 7d change
CoinField.PERF_1M                 # 30d change
CoinField.PERF_YTD                # Year to date
CoinField.PERF_Y                  # 1 year

Example Screens¶

Top by Market Cap¶

cs = CoinScreener()
cs.sort_by(CoinField.MARKET_CAP_CALC, ascending=False)
cs.set_range(0, 100)
cs.select(
    CoinField.NAME,
    CoinField.CLOSE,
    CoinField.MARKET_CAP_CALC,
    CoinField.CHANGE
)

df = cs.get()

Top Gainers¶

cs = CoinScreener()
cs.where(CoinField.CHANGE > 10)
cs.where(CoinField.MARKET_CAP_CALC > 10_000_000)  # Min $10M cap
cs.sort_by(CoinField.CHANGE, ascending=False)
cs.set_range(0, 50)

df = cs.get()

Large Cap Oversold¶

cs = CoinScreener()
cs.where(CoinField.MARKET_CAP_CALC > 1e9)  # $1B+ market cap
cs.where(CoinField.RSI < 35)
cs.select(
    CoinField.NAME,
    CoinField.CLOSE,
    CoinField.MARKET_CAP_CALC,
    CoinField.RSI
)

df = cs.get()

Weekly Momentum¶

cs = CoinScreener()
cs.where(CoinField.PERF_W > 20)
cs.where(CoinField.MARKET_CAP_CALC > 100_000_000)
cs.sort_by(CoinField.PERF_W, ascending=False)

df = cs.get()

Multi-Timeframe¶

cs = CoinScreener()

# Daily RSI moderate
cs.where(CoinField.RSI.between(40, 60))

# 4-hour RSI oversold
rsi_4h = CoinField.RSI.with_interval('240')
cs.where(rsi_4h < 35)

cs.select(
    CoinField.NAME,
    CoinField.CLOSE,
    CoinField.RSI,
    rsi_4h
)

df = cs.get()

All Fields¶

cs = CoinScreener()
cs.select_all()
cs.set_range(0, 100)

df = cs.get()
print(f"Columns: {len(df.columns)}")  # ~3,026

Notes¶

CoinScreener focuses on individual coins/tokens
Use CryptoScreener for exchange-specific trading pairs
Market cap and supply data may differ from exchange data