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[Freqtrade] Implement Incremental Trade Download and Candle Building

Improve data downloading by implementing incremental trade download and candle building. This would prevent loading all past trades into memory when fetching data for a short time span, addressing memory issues with large historical datasets.

Original Source

@@aplainzetakind | 0 pts | 9/15/2021

## Describe your environment * Operating system, Python, CCTX: Running in docker on linux * Freqtrade Version: 2021.8 ## Your question I am downloading trades from Kraken. It seems that even if I only fetch a very short time span of trades, all the past trades are loaded into memory in a dataframe, and then new files are produced from there. I have been fetching trades a couple of months at a time starting at the beginning of 2017, and as I approached the present, I started to run out of RAM with 55 million BTC/EUR trades. The process requires roughly 30GB of memory, and because I ran out I had to create a swap file and use that, which of course made everything even slower. Together with producing the candles (I'm creating all up to 1h), it has been running for about 5 hours now. This is quite untenable and I don't see myself updating my historic data any further. My questions are: - Is this normal or is something wrong on my side? - If this is indeed normal, is there

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