TO_JSON

TO_JSON

A lightweight Pine Script v6 library for converting TradingView series data into JSON-formatted alert payloads.

`TO_JSON` is designed for users who want to export chart data to external systems through TradingView alerts.
It helps transform rolling series such as OHLCV, indicator values, or text states into JSON-compatible arrays and wraps them into a structured message for webhooks, bots, dashboards, or automated workflows.

What this library does

This library provides helper functions to:

- convert float series into JSON arrays
- convert integer series into JSON arrays using a sentinel value as `null`
- convert string series into JSON arrays with fallback filling and JSON-safe escaping
- wrap custom payloads into a top-level JSON alert message with symbol, timeframe, timestamp, and token

It is especially useful when you want to send the latest `N` bars of market data or indicator values to an external service.

Features

- Rolling array export for `float`, `int`, and `string` series
- Chronological output from oldest to newest
- `null` support for missing values
- JSON-safe string escaping
- Simple wrapper for alert message generation
- Works well for webhook-based automation and downstream parsing

Exported functions

### `series_to_array_float_null(series float src, int N)`

Converts the latest `N` values of a float series into a JSON array string.
Missing values are exported as `null`.

`series_to_array_int_sentinel(series int src, int N, int sentinel)`

Converts the latest `N` values of an integer series into a JSON array string.
The specified sentinel value is exported as `null`.

`series_to_array_str_fill(series string src, int N, string fill="")`

Converts the latest `N` values of a string series into a JSON array string.
Missing values are replaced with `fill`, and strings are escaped for JSON compatibility.

`json(simple string token="1234567890", string info="", simple string symbol="AUTO")`

Wraps a custom JSON payload into a top-level alert message including:

- symbol
- timeframe
- current timestamp
- human-readable time
- info payload
- token

Typical use case

A common use case is exporting the last bars of:

- time
- open
- high
- low
- close
- volume
- moving averages
- custom signals

into one flat JSON object, then embedding it into the alert message.

Example

```pine
//version=6
import veegee82/TO_JSON/1 as json

indicator("TO_JSON Example", overlay=false)

stO = open
stH = high
stL = low
stC = close
stV = volume

ema_50 = ta.ema(close, 50)
ema_100 = ta.ema(close, 100)
ema_200 = ta.ema(close, 200)
ema_500 = ta.ema(close, 500)
ema_1000 = ta.ema(close, 1000)

json_flat(int n=50) =>
s_name = '"name":"' + 'vision_' + timeframe.period + '"'
s_tf = ',"timeframe":"' + timeframe.period + '"'
s_ts = ',"ts":' + json.series_to_array_float_null(time, n)

s_o = ',"open":' + json.series_to_array_float_null(stO, n)
s_h = ',"high":' + json.series_to_array_float_null(stH, n)
s_l = ',"low":' + json.series_to_array_float_null(stL, n)
s_c = ',"close":' + json.series_to_array_float_null(stC, n)
s_v = ',"volume":' + json.series_to_array_float_null(stV, n)

s_ema_50 = ',"ema_50":' + json.series_to_array_float_null(ema_50, n)
s_ema_100 = ',"ema_100":' + json.series_to_array_float_null(ema_100, n)
s_ema_200 = ',"ema_200":' + json.series_to_array_float_null(ema_200, n)
s_ema_500 = ',"ema_500":' + json.series_to_array_float_null(ema_500, n)
s_ema_1000 = ',"ema_1000":' + json.series_to_array_float_null(ema_1000, n)

"{" + s_name + s_tf + s_ts + s_o + s_h + s_l + s_c + s_v + s_ema_50 + s_ema_100 + s_ema_200 + s_ema_500 + s_ema_1000 + "}"

info = json_flat(100)

alert(
message = json.json(token = "1234567890", info = info, symbol = "AUTO"),
freq = alert.freq_once_per_bar_close
)

Notas de prensa

v2
fix token

Biblioteca Pine

Fiel al espíritu de TradingView, el autor ha publicado este código de Pine como biblioteca de código abierto, para que otros programadores de nuestra comunidad puedan reutilizarlo. ¡Enhorabuena al autor! Puede usar esta biblioteca de forma privada o en otras publicaciones de código abierto, pero su reutilización en publicaciones está sujeta a nuestras Normas internas.

veegee82

Exención de responsabilidad

La información y las publicaciones no constituyen, ni deben considerarse como, asesoramiento o recomendaciones financieras, de inversión, de trading u otro tipo, proporcionadas o respaldadas por TradingView. Obtenga más información en Condiciones de uso.

Biblioteca Pine

veegee82