What strategie use actually ?
#1
hi allbody !!

I'v now a gekko server on docker ready to work !

After read this post on the forum : https://forum.gekko.wizb.it/thread-100.h..._BULL_BEAR,  i'm exciting by the result of the backtest.
More than 62000% on ETH-USDT: 2016-01-01 - 2017-10-05. That is uncredible.

i'm ready to try this strategie in live but before i would like ask you if for you there is not a better choice to a strategie ?

Thanks askmike and the community for this work !
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#2
You can have way better results on some other pairs, as USD/BTC and USD/ETH drain a lot of bot strategies.
However, keep in mind that these long tests have good results because of market peaks and price drops during the said period, but current market is sideways. You'd better analyse how your strategy behaves on a flat market, or a market that is on a slow uptrend/downtrend.

It's quite easy to beat the market when it's in uptrend/bullish. Getting money from a bearish market is another story.
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#3
Hi
after testing all these indicators i developed my own trendline indicator.
The strat is based on a RSI trader but for the extrem stepup/down the realtime signal crosses the trend vectors.
Makes it MUCH faster than eny indicator signal-averaging process and is even to slow sometimes.(1min candle)
I do average the trend vectors but not the signal.
Exactly the other way around. it works. see you on the other.side


Read my reply here:
https://forum.gekko.wizb.it/thread-56252...l#pid58292
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#4
I'm on version 7 of my strategy and finally found something that will make money in the bear market. It also doesn't trigger any stop losses, which is practically AMAZING! But it also earn 1/3 as much during bull markets so I still need to fine tune it.
If it isn't crypto, it isn't worth mining, it isn't worth speculating.
https://www.youtube.com/c/crypto49er
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#5
(04-28-2018, 01:30 AM)crypto49er Wrote: I'm on version 7 of my strategy and finally found something that will make money in the bear market. It also doesn't trigger any stop losses, which is practically AMAZING! But it also earn 1/3 as much during bull markets so I still need to fine tune it.

Would you mine sharing your strategy? I would like to see what parameters you use and see if I can help tweak it.
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#6
(05-04-2018, 03:51 AM)yesman85 Wrote:
(04-28-2018, 01:30 AM)crypto49er Wrote: I'm on version 7 of my strategy and finally found something that will make money in the bear market.  It also doesn't trigger any stop losses, which is practically AMAZING! But it also earn 1/3 as much during bull markets so I still need to fine tune it.

Would you mine sharing your strategy? I would like to see what parameters you use and see if I can help tweak it.

Not at this time. It's not that it's an awesome strategy and it will make a ton of money. It's that after looking at the RSI Bull Bear strategy I feel like I have a lot to do before I can consider my strategy usable. It probably works great in the stock market (total guess) or any markets that trades sideways a lot, but on bull runs, it will underperform so badly that I need to completely rework it.
If it isn't crypto, it isn't worth mining, it isn't worth speculating.
https://www.youtube.com/c/crypto49er
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#7
(04-25-2018, 01:57 AM)susitronix Wrote: Hi
after testing all these indicators i developed my own trendline indicator.
The strat is based on a RSI trader but for the extrem stepup/down the realtime signal crosses the trend vectors.
Makes it MUCH faster than eny indicator signal-averaging process and is even to slow sometimes.(1min candle)
I do average the trend vectors but not the signal.
Exactly the other way around. it works. see you on the other.side


Read my reply here:
https://forum.gekko.wizb.it/thread-56252...l#pid58292

susitronix,

Is this a strategy that is on github that I can download and use? Are there settings in the strategy that need to be adjusted within the code, or just in the Parameters window that comes up when you start the bot? Thanks.

v/r
Hoppy
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#8
NNv2: https://github.com/zschro/gekko-neuralne...es/NNv2.js
My projects [Strategies] [Datasets]
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