Examples and tutorials
Options
Equity options: Introduction
Options on futures: Introduction
All options with a given underlying
Join options with underlying prices
US equity options volume by venue
Resample US equity options NBBO
Estimate implied volatility
Get symbols for 0DTE options
Calculate daily statistics for equity options
Historical data
Request a large number of symbols
Programmatic batch downloads
Best bid, best offer, and midprice
Custom OHLCV bars from trades
Join schemas on instrument ID
Plot a candlestick chart
Calculate VWAP and RSI
End-of-day pricing and portfolio valuation
Benchmark portfolio performance
Market halts, volatility interrupts, and price bands
Resample OHLCV from 1-minute to 5-minute
Convert DBN to other encoding formats
Algorithmic trading
A high-frequency liquidity-taking strategy
Build prediction models with machine learning
Execution slippage and markouts
Matching engine latencies
Using messaging rates as a proxy for implied volatility
Mean reversion and portfolio optimization
Pairs trading based on cointegration
Build a real-time stock screener
Core concepts
Venues and datasets
Cboe BYX Depth
Cboe BZX Depth
Cboe EDGA Depth
Cboe EDGX Depth
CME Globex MDP 3.0
Databento US Equities Mini
Databento US Equities Summary
Eurex
European Energy Exchange
ICE Endex
ICE Europe Commodities
ICE Europe Financials
ICE Futures US
IEX TOPS
MEMX Memoir Depth
MIAX Pearl Depth of Market
Nasdaq Basic with NLS Plus
Nasdaq TotalView-ITCH
Nasdaq BX TotalView-ITCH
Nasdaq PSX TotalView-ITCH
NYSE Integrated
NYSE American Integrated
NYSE Arca Integrated
NYSE National Trades and BBO
NYSE Texas Integrated
OPRA
Adjustment factors
Corporate actions
Security master
API Reference
Resources
Release notes
C++
0.45.0 - 2025-12-10
0.44.0 - 2025-11-18
0.43.0 - 2025-10-22
0.42.0 - 2025-08-19
0.41.0 - 2025-08-12
0.40.0 - 2025-07-29
0.39.1 - 2025-07-22
0.39.0 - 2025-07-15
0.38.2 - 2025-07-01
0.38.1 - 2025-06-25
0.38.0 - 2025-06-10
0.37.1 - 2025-06-03
0.37.0 - 2025-06-03
0.36.0 - 2025-05-27
0.35.1 - 2025-05-20
0.35.0 - 2025-05-13
0.34.2 - 2025-05-06
0.34.1 - 2025-04-29
0.34.0 - 2025-04-22
0.33.0 - 2025-04-15
0.32.1 - 2025-04-07
0.32.0 - 2025-04-02
0.31.0 - 2025-03-18
0.30.0 - 2025-02-11
0.29.0 - 2025-02-04
0.28.0 - 2025-01-21
0.27.0 - 2025-01-07
0.26.0 - 2024-12-17
0.25.0 - 2024-11-12
0.24.0 - 2024-10-22
0.23.0 - 2024-09-25
0.22.0 - 2024-08-27
0.21.0 - 2024-07-30
0.20.1 - 2024-07-16
0.20.0 - 2024-07-09
0.19.1 - 2024-06-25
0.19.0 - 2024-06-04
0.18.1 - 2024-05-22
0.18.0 - 2024-05-14
0.17.1 - 2024-04-08
0.17.0 - 2024-04-01
0.16.0 - 2024-03-01
0.15.0 - 2024-01-16
0.14.1 - 2023-12-18
0.14.0 - 2023-11-23
0.13.1 - 2023-10-23
0.13.0 - 2023-09-21
0.12.0 - 2023-08-24
0.11.0 - 2023-08-10
0.10.0 - 2023-07-20
0.9.1 - 2023-07-11
0.9.0 - 2023-06-13
0.8.0 - 2023-05-16
0.7.0 - 2023-04-28
0.6.1 - 2023-03-28
0.6.0 - 2023-03-24
0.5.0 - 2023-03-13
0.4.0 - 2023-03-02
0.3.0 - 2023-01-06
0.2.0 - 2022-12-01
0.1.0 - 2022-11-07
Python
0.68.2 - TBD
0.68.1 - 2025-12-16
0.68.0 - 2025-12-09
0.67.0 - 2025-12-02
0.66.0 - 2025-11-18
0.65.0 - 2025-11-11
0.64.0 - 2025-09-30
0.63.0 - 2025-09-02
0.62.0 - 2025-08-19
0.61.0 - 2025-08-12
0.60.0 - 2025-08-05
0.59.0 - 2025-07-15
0.58.0 - 2025-07-08
0.57.1 - 2025-06-17
0.57.0 - 2025-06-10
0.56.0 - 2025-06-03
0.55.1 - 2025-06-02
0.55.0 - 2025-05-29
0.54.0 - 2025-05-13
0.53.0 - 2025-04-29
0.52.0 - 2025-04-15
0.51.0 - 2025-04-08
0.50.0 - 2025-03-18
0.49.0 - 2025-03-04
0.48.0 - 2025-01-21
0.47.0 - 2024-12-17
0.46.0 - 2024-12-10
0.45.0 - 2024-11-12
0.44.1 - 2024-10-29
0.44.0 - 2024-10-22
0.43.1 - 2024-10-15
0.43.0 - 2024-10-09
0.42.0 - 2024-09-23
0.41.0 - 2024-09-03
0.40.0 - 2024-08-27
0.39.3 - 2024-08-20
0.39.2 - 2024-08-13
0.39.1 - 2024-08-13
0.39.0 - 2024-07-30
0.38.0 - 2024-07-23
0.37.0 - 2024-07-09
0.36.3 - 2024-07-02
0.36.2 - 2024-06-25
0.36.1 - 2024-06-18
0.36.0 - 2024-06-11
0.35.0 - 2024-06-04
0.34.1 - 2024-05-21
0.34.0 - 2024-05-14
0.33.0 - 2024-04-16
0.32.0 - 2024-04-04
0.31.1 - 2024-03-20
0.31.0 - 2024-03-05
0.30.0 - 2024-02-22
0.29.0 - 2024-02-13
0.28.0 - 2024-02-01
0.27.0 - 2024-01-23
0.26.0 - 2024-01-16
0.25.0 - 2024-01-09
0.24.1 - 2023-12-15
0.24.0 - 2023-11-23
0.23.1 - 2023-11-10
0.23.0 - 2023-10-26
0.22.1 - 2023-10-24
0.22.0 - 2023-10-23
0.21.0 - 2023-10-11
0.20.0 - 2023-09-21
0.19.1 - 2023-09-08
0.19.0 - 2023-08-25
0.18.1 - 2023-08-16
0.18.0 - 2023-08-14
0.17.0 - 2023-08-10
0.16.1 - 2023-08-03
0.16.0 - 2023-07-25
0.15.2 - 2023-07-19
0.15.1 - 2023-07-06
0.15.0 - 2023-07-05
0.14.1 - 2023-06-16
0.14.0 - 2023-06-14
0.13.0 - 2023-06-02
0.12.0 - 2023-05-01
0.11.0 - 2023-04-13
0.10.0 - 2023-04-07
0.9.0 - 2023-03-10
0.8.1 - 2023-03-05
0.8.0 - 2023-03-03
0.7.0 - 2023-01-10
0.6.0 - 2022-12-02
0.5.0 - 2022-11-07
0.4.0 - 2022-09-14
0.3.0 - 2022-08-30
HTTP API
0.35.0 - 2025-08-19
0.34.1 - 2025-06-17
0.34.0 - 2025-06-09
0.33.0 - 2024-12-10
0.32.0 - 2024-11-26
0.31.0 - 2024-11-12
0.30.0 - 2024-09-24
0.29.0 - 2024-09-03
0.28.0 - 2024-06-25
0.27.0 - 2024-06-04
0.26.0 - 2024-05-14
0.25.0 - 2024-03-26
0.24.0 - 2024-03-06
0.23.0 - 2024-02-15
0.22.0 - 2024-02-06
0.21.0 - 2024-01-30
0.20.0 - 2024-01-18
0.19.0 - 2023-10-17
0.18.0 - 2023-10-11
0.17.0 - 2023-10-04
0.16.0 - 2023-09-26
0.15.0 - 2023-09-19
0.14.0 - 2023-08-29
0.13.0 - 2023-08-23
0.12.0 - 2023-08-10
0.11.0 - 2023-07-25
0.10.0 - 2023-07-06
0.9.0 - 2023-06-01
0.8.0 - 2023-05-01
0.7.0 - 2023-04-07
0.6.0 - 2023-03-10
0.5.0 - 2023-03-03
0.4.0 - 2022-12-02
0.3.0 - 2022-08-30
0.2.0 - 2021-12-10
0.1.0 - 2021-08-30
Raw API
0.7.2 - TBD
0.7.1 - 2025-11-09
0.7.0 - 2025-10-26
0.6.4 - 2025-09-28
0.6.3 - 2025-09-07
0.6.2 - 2025-08-02
0.6.1 - 2025-06-29
0.6.0 - 2025-05-24
0.5.6 - 2025-04-06
0.5.5 - 2024-12-01
0.5.4 - 2024-10-02
0.5.3 - 2024-10-02
0.5.1 - 2024-07-24
2024-07-20
2024-06-25
0.5.0 - 2024-05-25
0.4.6 - 2024-04-13
0.4.5 - 2024-03-25
0.4.4 - 2024-03-23
0.4.3 - 2024-02-13
0.4.2 - 2024-01-06
0.4.0 - 2023-11-08
0.3.0 - 2023-10-20
0.2.0 - 2023-07-23
0.1.0 - 2023-05-01
Rust
0.38.0 - 2025-12-16
0.37.0 - 2025-12-09
0.36.0 - 2025-11-19
0.35.0 - 2025-10-22
0.34.1 - 2025-09-30
0.34.0 - 2025-09-23
0.33.1 - 2025-08-26
0.33.0 - 2025-08-19
0.32.0 - 2025-08-12
0.31.0 - 2025-07-30
0.30.0 - 2025-07-22
0.29.0 - 2025-07-15
0.28.0 - 2025-07-01
0.27.1 - 2025-06-25
0.27.0 - 2025-06-10
0.26.2 - 2025-06-03
0.26.1 - 2025-05-30
0.26.0 - 2025-05-28
0.25.0 - 2025-05-13
0.24.0 - 2025-04-22
0.23.0 - 2025-04-15
0.22.0 - 2025-04-01
0.21.0 - 2025-03-18
0.20.0 - 2025-02-12
0.19.0 - 2025-01-21
0.18.0 - 2025-01-08
0.17.0 - 2024-12-17
0.16.0 - 2024-11-12
0.15.0 - 2024-10-22
0.14.1 - 2024-10-08
0.14.0 - 2024-10-01
0.13.0 - 2024-09-25
0.12.1 - 2024-08-27
0.12.0 - 2024-07-30
0.11.4 - 2024-07-16
0.11.3 - 2024-07-09
0.11.2 - 2024-06-25
0.11.1 - 2024-06-11
0.11.0 - 2024-06-04
0.10.0 - 2024-05-22
0.9.1 - 2024-05-15
0.9.0 - 2024-05-14
0.8.0 - 2024-04-01
0.7.1 - 2024-03-05
0.7.0 - 2024-03-01
0.6.0 - 2024-01-16
0.5.0 - 2023-11-23
0.4.2 - 2023-10-23
0.4.1 - 2023-10-06
0.4.0 - 2023-09-21
0.3.0 - 2023-09-13
0.2.1 - 2023-08-25
0.2.0 - 2023-08-10
0.1.0 - 2023-08-02
Data
2025-11-09
2025-11-04
2025-09-23
2025-08-26
2025-08-05
2025-07-25
2025-07-06
2025-07-01
2025-06-27
2025-06-17
2025-06-10
2025-05-20
2025-05-07
2025-04-05
2025-04-01
2025-03-13
2025-02-26
2025-02-01
2025-01-15
2024-12-14
2024-12-03
2024-12-02
2024-10-22
2024-10-24
2024-07-05
2024-06-25
2024-06-18
2024-05-07
2024-01-18
2023-11-17
2023-10-04
2023-08-29
2023-07-23
2023-05-01
2023-04-28
2023-03-07
Collapse all
Examples and tutorials
Live data
Calculate TICK and TRIN indicators
Overview
In this example we will use the Live client to calculate two technical indicators: market tick (TICK) and the traders index (TRIN).
Trades schema
These indicators are updated on every execution for all symbols on the venue. To get this, we will use the trades schema, which provides records for every trade execution.
Example
We can pass in symbols="ALL_SYMBOLS" to request all symbols of a dataset at
once.
import itertools
import databento as db
import numpy as np
# First, create a live client and connect
live_client = db.Live(key="$YOUR_API_KEY")
# Next, we will subscribe to trades for all symbols
live_client.subscribe(
dataset="GLBX.MDP3",
schema="trades",
symbols="ALL_SYMBOLS",
)
# Then, we setup our initial values for TICK/TRIN
uptick = downtick = upvol = downvol = 0
# We will consume 20 records and then close for this example
for record in itertools.islice(live_client, 20):
if isinstance(record, db.TradeMsg):
side = record.side
if side == "A":
downtick += 1
downvol += record.size
elif side == "B":
uptick += 1
upvol += record.size
tick = uptick / downtick if downtick != 0 else np.nan
trin_base = upvol / downvol if downvol != 0 else np.nan
trin = tick / trin_base if trin_base != 0 else np.nan
print(f"{tick:.4f}", f"{trin:.4f}")