Coming from Python

A real import, the ideas side by side, and the names that translate.

This is a real run of the importer on a small Python script. The result compiles. 5 lines were read: 4 carried over exactly, 1 were adapted and 0 came back as decisions for you.

What you paste · Python · pandas-ta

import pandas_ta as ta
df["fast"] = ta.ema(df["close"], length=20)
df["slow"] = ta.ema(df["close"], length=50)
df["rsi"] = ta.rsi(df["close"], length=14)
df["long"] = (df["fast"] > df["slow"]) & (df["rsi"] < 70)

What you get back

1indicator "Imported Python script"
2pane: price
3
4fast = ema(close, 20)
5slow = ema(close, 50)
6rsi_value = rsi(close, 14)
7long = fast > slow and rsi_value < 70

Line by line

Status	Your line	What happened
Exact	`df["fast"] = ta.ema(df["close"], length=20)`	a calculation carried over
Exact	`df["slow"] = ta.ema(df["close"], length=50)`	a calculation carried over
Adapted	`df["rsi"] = ta.rsi(df["close"], length=14)`	rsi is the name of a built-in here, so it became rsi_value
Exact	`df["rsi"] = ta.rsi(df["close"], length=14)`	a calculation carried over
Exact	`df["long"] = (df["fast"] > df["slow"]) & (df["rsi"] < 70)`	a calculation carried over

How the ideas translate

In Python	In AlgoBarsX
`df["fast"] = ta.ema(df["close"], length=20)`	fast = ema(close, 20)
`ta.rsi(df["close"], length=14)`	rsi(close, 14)
`(a > b) & (c < 70)`	a > b and c < 70
`a column named rsi`	renamed to rsi_value, so it does not hide the function
`df["close"].shift(1)`	close[1]
`df["high"].rolling(20).max()`	highest(high, 20). Rolling calculations come back as a decision, so you pick the function.

Tip. A data-frame script has no orders in it, so it comes back as an indicator. Add when rules to turn it into a strategy.

Names the importer translates for you

Their name	AlgoBarsX
`mom`	`momentum`
`natr`	`atr`
`willr`	`williams_r`

Read every import before you run it. Compare the plain-English description with what your original did, settle each decision, and backtest before you deploy.