RRE Line

Step 1: Initialize Parameters
length: Period of the indicator (default: 99)

src: Source input, typically the close price

ama: Initialize at 0.0 (Adaptive Moving Average value)

Step 2: Calculate Highest High Signal (hh)
hh
=
max
⁡
(
sign
(
Δ
highest
(
n
)
)
,
0
)
hh=max(sign(Δhighest(n)),0)

Breakdown:

highest(n) finds the highest price over the last n periods

Δ calculates the change from the previous bar

sign() returns +1 if positive, -1 if negative, 0 if zero

max(..., 0) ensures result is either 1 or 0

Result: hh = 1 when a new highest high is made, otherwise 0​

Step 3: Calculate Lowest Low Signal (ll)
ll
=
max
⁡
(
sign
(
Δ
lowest
(
n
)
×
−
1
)
,
0
)
ll=max(sign(Δlowest(n)×−1),0)

Breakdown:

lowest(n) finds the lowest price over the last n periods

Δ calculates the change from the previous bar

Multiply by -1 to invert the sign

sign() processes the inverted value

max(..., 0) ensures result is either 1 or 0

Result: ll = 1 when a new lowest low is made, otherwise 0​

Step 4: Calculate Trend Coefficient (tc)
t
c
(
t
)
=
[
SMA
(
RegularitySignal
,
n
)
]
2
tc(t)=[SMA(RegularitySignal,n)]
2


Breakdown:

RegularitySignal = 1 if (hh = 1 OR ll = 1), else 0

Calculate simple moving average of the signal over n periods

Square the result to amplify adaptive behavior

Result: tc represents the squared average frequency of new highs/lows