Crypto-Hamster

OptimaLite

The OptimaLite algorithm performs the calculation of the integrated profits and losses for all the buyers and sellers that they have for the given “Calculation period” back in history for every time point. The idea is based on the principle of the accumulation and distribution of the capital among the market participants leading to the price trend change.

The indicator consists of the several components (signal lines):
1) “Return” – the main signal that reflects the integrated profits and losses delta (the “Return” moving average is added)
2) “Profit” and “Loss” – integrated profits and losses correspondingly
3) “Return Normalized” – the normalized “Return” for a given period of time
4) “Return High Frequency” – the “Return” signal compensated with the short-term fluctuations by RSI

How to use the indicator:
– Highs and lows of the indicator are associated with the overbought and oversold conditions points correspondingly.
– Crosses of the moving average with the main indicator line are associated with the trend change
– Divergencies between the indicator and price highs or lows can be used as signals for the trend reversal
– “Profit” and “Loss” signal lines intersections indicate the bulls/bears take over the market

Adjustments:
The periods of the calculation, averaging and normalization are the main parameters that could be tuned in order to optimize the indicator performance. Generally, the default values are sufficient for the nominal performance thought. But the best combination of those parameters is specific for each asset and timeframe, so it recommended to optimize them.
Release Notes:
The unrelated drawing has been removed from the chart.
Release Notes:
Default input value for the averaging has been changed.
Release Notes:
The high frequency component correction has been made.

Invite-only script

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Author's instructions

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