So i have gekko installed but I need some direction on where to head next. I understand the config and strategy js but what I am looking at doing it a small test. I have about $10 USDC on coinbase. I want to detect a buy then sell at a 1.3 % profit. I have a config i found on candle stick patterns so i might could use that for the buy sell points but what i need is where to see code related to placing a buy and a sell and how to limit that to only one buy and then one sell then onto the next buy/sell. I know $10 is low to trade with but it is enough for some trades on coinbase pro (gdax). I have been using smart trades over on 3commas but I do not have time to watch things manually. I have some eBay auctions running and those proceeds will go towards further testing. I appreciate and feedback the community can give me.

Hey.

There is an idea of strategy, but no programming experience.
Maybe someone already had such ideas or developments?


RSI Trailing Stop

interval = 14

[thresholds]
low = 30
high = 70

[Trailing]
buy = 5
sell = 5


When RSI = 30, a buy signal is sent, when the price rises by 5% (purchase = 5) of the signal price, the purchase triggers in the market.

This feature allows you to make purchases deeper than the original signal.
Example: the signal worked at the level of $ 100, but the price dropped and reached $ 90, then the purchase will be made at the price of $ 94.5 (purchase = 5).
If the price immediately went up, the purchase will cost 105 dollars. The result is a shift of + 5% from the current minimum price.

When RSI = 70, stop loss is set from the current price of -5% (sale = 5). If the price goes up, the stop loss also moves up.
Example: RSI = 70 worked for $ 130, but it grew, reached $ 150 and fell. The sale will cost $ 142.5.
Or from 130 dollars went to decline, then sales will be at 123.5 dollars.

This feature is implemented on bitfinex.

Hi,

is there a repo for strategies that will run in the UI too?

Thanks!

Hello

I am trying to get the NNv2 strategy to run but it runs for a while then returns no trades at all.
I run it over 1 years data and it still shows no trades.

I copied the toml into the correct place and the strategies and indicators to their respective places.

These are my settings
threshold_buy_bear= 1.0
threshold_buy_bull= 2.0
threshold_sell_bear= -0.2
threshold_sell_bull= -0.5
NN_SMMA_Length= 4
maFast= 30
maSlow= 200
decay= 0.6
price_buffer_len= 90
stoploss_threshold= 6
waitTime= 200

This is the log error I am getting


uncaughtException TypeError: Indicators[type] is not a constructor
at Base.addIndicator (/opt/gekko/plugins/tradingAdvisor/baseTradingMethod.js:236:34)
at Base.bound [as addIndicator] (/opt/gekko/node_modules/lodash/dist/lodash.js:729:21)
at Base.init (/opt/gekko/strategies/NNv2.js:15:10)
at Base.bound [as init] (/opt/gekko/node_modules/lodash/dist/lodash.js:729:21)
at new Base (/opt/gekko/plugins/tradingAdvisor/baseTradingMethod.js:69:8)
at Actor.setupStrategy (/opt/gekko/plugins/tradingAdvisor/tradingAdvisor.js:61:19)
at Actor.bound [as setupStrategy] (/opt/gekko/node_modules/lodash/dist/lodash.js:729:21)
at new Actor (/opt/gekko/plugins/tradingAdvisor/tradingAdvisor.js:23:8)
at load (/opt/gekko/core/pluginUtil.js:98:22)
at /opt/gekko/node_modules/async/dist/async.js:1156:9
xxx POST /api/backtest 500 154ms -

Error: non-error thrown:
ERROR: I do not know the indicator NNv2

at Object.onerror (/opt/gekko/node_modules/koa/lib/context.js:105:40)
at <anonymous>
at process._tickCallback (internal/process/next_tick.js:189:7)

Unlike Google reCaptcha which makes you train Google's self-driving cars, this captcha directly rewards website owners for every solved captcha on their page. The labeled data is transmitted to AI companies. All this powered by blockchain (Human protocol).

btw, recently it was used by Ethfinex during their Ultra IEO. 

Does anyone know how to obtain the profits programmatically from within the check function?  I can see it in the CLI but cannot not seem to call it.

Thank you in advance.

I installed gekko on an EC2 instance however by adding:
auth_basic "Restricted Content";
auth_basic_user_file /etc/nginx/.htpasswd;

to the / etc / nginx / sites-enabled / default file and typing at the command prompt:
printf "username:` openssl passwd -apr1`n ">> /etc/nginx/.htpasswd

I am prompted to enter the password for 2 times, no other password I enter after I can access via web, presenting the user window and password and I can not access the web interface. 
When I remove the

auth_basic "Restricted Content";
auth_basic_user_file /etc/nginx/.htpasswd;

everything works perfectly

The EC2 instance is with ubuntu 18.04
nginx
https

Could someone help me? Sorry the english, more and the google translator.

Hello 
I need some help conducting a 3 year backtest on the neuralnet_v2 strategy.
I downloaded the data and tried through the GUI but it just times out.

Does anyone have a config.js file that will allow me to run the test from the command line?
I am battling to get it to select my 3 year batch and run the test.

I need some direction as I keep getting this error when I run it from command line:

config.paperTrader.enable is 'undefined'

Hi all,

I have downloaded as much as is necessary to run gekko using node gekko --ui although when the ui opens in a web browser there is no option list for a market to chose from in order to download data.

would anyone have an idea as to which file i might need to download.

many thanks

It appears to me that the development of Neural Network based strategies for Gekko have gone a bit... stale?


The best article so far on this topic has been written by Deandree Blake at Medium.com (see: Medium.com "Crypto Trading 2018 in Review: 17 Advanced + 15 Neural Net strategies tested" https://medium.com/coinmonks/crypto-trad...08963d13e9, also referred to on this forum "Neural Network strategy backtest comparison": https://forum.gekko.wizb.it/thread-57766.html ) So far the most helpful resources I have seen, yet this all is about 2018.

Deandree but also others on various postings seem to grab their strategies from the infamous xFFFFF Gekko-Strategies Github repository:
https://github.com/xFFFFF/Gekko-Strategies: Latest commit was on 24 May 2018. Not very active....

As Deandree points out in his Medium.com article: "All strategies share some common traits: they use some kind of NN lib. Most (13/15) use convnetjs. The other 2 use LSTM type lib — synaptic or neataptic."

So 13/15 of the Neural Net strategies in the xFFFFF repository are using convnetjs (https://github.com/karpathy/convnetjs): Latest commit on 24 Nov 2016. The most popular neural network library has not been maintained in 3 years...
1/15 strat (gekkoNeatapticIndicator) uses Neataptic: https://github.com/wagenaartje/neataptic Last commit on 9 Jun 2018 over a year without maintenance

1/15 strat (LSTM_MACD_RSI_V3) uses Synaptic: https://github.com/cazala/synaptic Last commit 14 Feb (2019 that is, I assume, reasonably active)

So here we have it: Only LSTM_MACD_RSI_V3 uses a neural network library that is up to date (and gets points for clean code) but sadly, LSTM_MACD_RSI_V3 does not score very well in Deandree's backtesting...

Is this really the best we have? Does anyone know of more up to date information? 

NOTE: It looks like zuki_nn is so far one of the best neural networks out there and it relies on a 2016 neural network library... so yes I do newer does not necessarily mean better. However, it seems things have gone stale since the 2018 crypto bear market. I am just curious to see if anything significant has happened since.