Screener

General Info

The screener is organized into three main tabs, each providing different levels of analysis:

• 🔑 Main tab for key market data
• ⚡ Minute Statistics for short-term analysis
• 📅 Daily Statistics for long-term trends

You can sort screener based on any column in any tab.

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By default, cryptocurrencies are sorted by market capitalization.

Mostly all columns can be hidden or shown. This can be configured at the bottom of the table with view_column icon. You can configure filtering in screener with filter_list icon.

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Column selections and Filter settings persist between sessions.

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Screener data update every minute.

tip

You can for example decide to only view instruments with spread smaller than 0.1% or similar, since spread heavily affects trading profitability and you lose as much on every round-trip.

Tabs

🔑 Main Indicators

The main tab shows essential market data.

Column	Definition	Update frequency
Ticker	Official cryptocurrency $\text{Ticker}$	24h
Name	Official cryptocurrency $\text{Name}$	24h
Bid Price and Ask Price	Best $\text{Bid Price}$ and $\text{Ask Price}$	5s
Bid Size and Ask Size	Sizes of best $\text{Bid Price}$ and $\text{Ask Price}$	5s
Spread	$\frac{AskPrice - BidPrice}{BidPrice}$	5s
Market cap	$\text{Last Price} \times \text{Circulating Supply}$	1m
Volume 24h	$\text{Volume}$ traded in last 24 hours	24h

⚡ Minute Statistics

This tab focuses on short-term technical analysis.

Column	Definition	Update frequency
1 min %	$\frac{LastPrice - Price_{-1min}}{Price_{-1min}}$	1m
5 min %	$\frac{LastPrice - Price_{-5min}}{Price_{-5min}}$	1m
60 min %	$\frac{LastPrice - Price_{-60min}}{Price_{-60min}}$	1m
SMA 10	$\frac{LastPrice - SimpleMovingAverage(Prices)_{10}}{SimpleMovingAverage(Prices)_{10}}$	1m
EMA 10	$\frac{LastPrice - ExponentialMovingAverage(Prices)_{10}}{ExponentialMovingAverage(Prices)_{10}}$	1m
KAMA 10	$\frac{LastPrice - KaufmansAdaptiveMovingAverage(Prices)_{10}}{KaufmansAdaptiveMovingAverage(Prices)_{10}}$	1m
DEMA 10	$\frac{LastPrice - DoubleExponentialMovingAverage(Prices)_{10}}{DoubleExponentialMovingAverage(Prices)_{10}}$	1m
WMA 10	$\frac{LastPrice - WeightedMovingAverage(Prices)_{10}}{WeightedMovingAverage(Prices)_{10}}$	1m
T3 10	$\frac{LastPrice - TillsonMovingAverage(Prices)_{10}}{TillsonMovingAverage(Prices)_{10}}$	1m
TEMA 10	$\frac{LastPrice - TrippleExponentialMovingAverage(Prices)_{10}}{TrippleExponentialMovingAverage(Prices)_{10}}$	1m
TRIMA 10	$\frac{LastPrice - TriangularMovingAverage(Prices)_{10}}{TriangularMovingAverage(Prices)_{10}}$	1m
MAMA	$\frac{LastPrice - AdaptiveMovingAverageMESA(Prices)_{0.5}}{AdaptiveMovingAverageMESA(Prices)_{0.5}}$	1m
FAMA	$\frac{LastPrice - AdaptiveMovingAverageMESA(Prices)_{0.05}}{AdaptiveMovingAverageMESA(Prices)_{0.05}}$	1m
BBandsZscore 10	$\frac{LastPrice - MiddleBollingerBand(Prices)_{10}}{UpperBollingerBand(Prices)_{10} - MiddleBollingerBand(Prices)_{10}}$	1m
HT Trendline	$\frac{LastPrice - HilbertTransformTrendline}{HilbertTransformTrendline}$	1m
MoP 10	$\frac{LastPrice - MidpointOverPeriod(Prices)_{10}}{MidpointOverPeriod(Prices)_{10}}$	1m
APO 5-10	$\frac{AbsolutePriceOscillator(Prices)_{5,10}}{LastPrice}$	1m
CHMO 10	$ChandeMomentumOscillator(Prices)_{10}$	1m
MACD	$\frac{MACD(Prices)_{9,12,26}}{LastPrice}$	1m
Momentum 10	$\frac{LastPrice}{Momentum(Prices)_{10}}$	1m
PPO 10	$PercentagePriceOscillator(Prices)_{10}$	1m
RoC 10	$RateOfChange(Prices)_{10}$	1m
Trix 9	$TripleExponentialAverage(Prices)_{9}$	1m
RSI 10	$RelativeStrengthIndex(Prices)_{10}$	1m

📅 Daily Statistics

For longer-term analysis, this tab provides:

Column	Definition	Update frequency
1 day %	$\frac{LastPrice - Price_{-1d}}{Price_{-1d}}$	1d
1 week %	$\frac{LastPrice - Price_{-7d}}{Price_{-7d}}$	1d
1 month %	$\frac{LastPrice - Price_{-1month}}{Price_{-1month}}$	1d
Sharpe ratio	$\frac{R_p - R_f}{\sigma_p}$ where: $R_p$ = portfolio return, $R_f$ = risk-free rate, $\sigma_p$ = portfolio standard deviation	1d
Ann Return %	$\left[\left(1 + \frac{R}{n}\right)^n - 1\right] \times 100$ where: $R$ = total return for the period, $n$ = number of periods to annualize (e.g., 12 for monthly data)	1d
Ann Volatility %	$\sigma_p \times \sqrt{n}$ where: $\sigma_p$ = standard deviation of periodic returns, $n$ = number of periods in a year (e.g., 12 for monthly data)	1d
Max DD %	$\text{MaxDD} = \left(\frac{\text{Trough value} - \text{Peak value}}{\text{Peak value}}\right) \times 100$ where: $\text{Peak value}$ = highest portfolio value before the decline, $\text{Trough value}$ = lowest portfolio value after the peak, $\text{MaxDD}$ = maximum drawdown	1d
Current DD %	$\text{CurrentDD} = \left(\frac{\text{Current value} - \text{Peak value}}{\text{Peak value}}\right) \times 100$ where: $\text{Current value}$ = current portfolio value, $\text{Peak value}$ = highest portfolio value reached up to current point, $\text{CurrentDD}$ = current drawdown	1d
Total Return %	$\text{Total Return} = \left(\frac{\text{Current value} - \text{Initial value}}{\text{Initial value}}\right) \times 100$ where: $\text{Current value}$ = current portfolio value, $\text{Initial value}$ = starting portfolio value, $\text{Total Return}$ = percentage return on investment	1d
SMA 10	$\frac{LastPrice - SimpleMovingAverage(Prices)_{10}}{SimpleMovingAverage(Prices)_{10}}$	1d
RSI 10	$RelativeStrengthIndex(Prices)_{10}$	1d