ssssi / freqtrade_strs Goto Github PK

Hello, thank you for your good strategies.
I want to use ClucHANix and ClucHANix_5m but I get this error.
Can someone help or tell me the reason

Hello,
Thank you for your very good strategy,
I have backtesting with the same config as you offered, but my result is bad (about 40% profit same data)than yours,
Is there some more tricks i need to pay attention on
Thank you

Hey anyone have config for this?
https://github.com/ssssi/freqtrade_strs/blob/main/binance/ConsensusShort/ConsensusShort.py
Regards

Hello,

As mentioned in the title, how can we add short signal in BBMod strategy?

Hi Mees, how are you? A while back i think i was you had a python script for brute forcing bitcoin. extracting public adresses from random generated private keys. I see u deleted this, can you please reach out to me i am still very interested in this project,

Thank u

Telegram: @CarteBlanche1

Hello,

Good day.
I am confused about the Stra parameters tuning ,
I have tried the freqtrade 'hyperopt', but can only use one month data for it on my 64G CPU-memory PC,
It turns out that it can fit the used data, but get really bad performance on the non-seen data.
How you do the parameter fine-turning

Thank you.

Hi,
occasionally i get both "buy_1" and "ewo" as enter tag but these aren't whitespace separated by Freqtrade so the enter_tag.split() at line 147 isn't useful to detect the "ewo" condition into a list at line 149.

You could instead check directly the "enter_tag" string without splitting.
Anyway thanks for your strategy!

bro i see that your e0v1e strategy rejected too many entry signal. it mean in future bot can go wrong situation. i think for backtest and dry run perpose you need to increase max entry order to minimum 10. this way strat receive more entry signal and its draw more drawdown. this way you understand if this strat hit multiple stoploss in bad situation then what happen. by this way if your strat draw small drawdown factor and if you get better risk reward. that mean this strat work well future.

I see the buy\sell _btc_safe parameter in your stratergy intialisation, can't see those used / implemted in the stratergy implementation ? am i not seeing something and what these values signify

    "buy_btc_safe": -289,
    "buy_btc_safe_1d": -0.05,
 "sell_btc_safe": -389,

As per docs Freqtrade does not support trading with margin / leverage, and cannot open short positions.
https://www.freqtrade.io/en/stable/faq/#can-i-open-short-positions

How are you planing run this str live ?

i get following error when backtesting on latest E0V1E

/home/ftuser/.local/lib/python3.11/site-packages/pandas_ta/overlap/linreg.py:53: RuntimeWarning: invalid value encountered in scalar divide
return rn / rd

how to solve?

Hi.

Thanks for sharing, from the code I see some solid strategies.

Do you currently trade with any of this? I'm new to this and want to try some.

thanks.

Hi Bro, Hope you are doing well.
Bro are you using E0V1E strategy for live trading?

Regards...

Hello,

When I try to use your strategy config by multi config command:
freqtrade trade -s stra.py --config user_data/config.json --config user_data/BinHV27_short.json

it shows that the second config does not overwrite the corresponding value in the stra.py
Am I using it in the wrong manner?

Thanks a lot!

Im trying to get exact backtesting results you have over here https://github.com/ssssi/freqtrade_strs/blob/main/binance/backtest/E0V1E_backtest_2022-05-12_2022-11-29.txt

But not able to get even close to the results you have.

Can you please provide hyper-opts prams file for backtesting ?

咋我用E0V1E 回测近半年收益才2.71%，配置文件也没啥设置的啊，可否交流交流

If you can share it with some information about it would be great 😊