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1  Economy / Service Announcements / I Created an App that Helps You Practice Trading - TradingGYM on: November 13, 2020, 02:16:25 PM
I was looking for an app that helps you practice trading, something that could replay historical candles and allow to trade on them at a point in time, kind of like a trading simulator.

We all know there is paper trading, but it has slow feedback loop - make a trade, wait for hours/days.

I wanted something that combines all the things that I'm looking for:
  • Quick start in seconds - no download, install, registration, etc.
  • Easy to use UI/UX.
  • Minimal bias - accomplished by picking random asset/time and hiding them.
  • Make trades and fast forward time for a super quick feedback/learning loop.

So I created it - TradingGYM. It's an early version, but I wanted to get the MVP out ASAP and see if this is useful to other traders as well.

The Mobile version has a more lightweight UI, but in Desktop you can change some settings like candle size and commission.

Any suggestions are very much welcome. Super interested to see if this helps anyone improve their performance. 

2  Economy / Trading Discussion / Is Buy and Hold Really the Best Strategy in Crypto? on: August 26, 2020, 10:58:50 AM
Some people say that Buy and Hold is the best strategy and can't be beaten. They hear phrases like “95% of traders lose money” and automatically assume that all trading is bad and markets can not be outperformed.

In my Medium post, I’m going to show you, that holding might not be the best option if you put in a little bit of work. To do that, I compare Buy and Hold returns for 25 coins with several basic trend-following strategies in different time periods (over 3.5 years of data and then a little extra).

READ THE POST HERE!

The source code of strategies and raw test results (CSV) is pushed to my Github.

Let me know what you think! Thanks!

3  Economy / Trading Discussion / I tested 17 Advanced + 15 Neural Net Trading Strategies with Top 30 Coins from J on: August 19, 2019, 01:48:21 PM
I have collected the most popular open source strategies (for Gekko platform) and I am constantly testing them and sharing results in my Medium posts.


In my latest post, I look back at the first half of 2019 and backtest the strategies against time period from Jan 1st to Jul 1st. I have imported data for Top 30 coins (based on Market Cap) and I'm using 32 strategies for testing.


For traders who like to automate their business, Gekko should be familiar name, but for everyone else - Gekko is one of the most popular open source Crypto trading platforms out there.
I would describe it as an execution platform for YOUR strategies, not a bot that you brainlessly launch and it does everything for you while you browse lambo.com trying to decide between yellow and orange.

Let me know if this is useful to you. Thanks!
4  Economy / Trading Discussion / Crypto Trading 2018 in Review: I backtested 32 strategies with full year of data on: January 14, 2019, 08:17:31 PM
I was getting a bit tired of seeing a lot of unrealistic results/expectations posted in this forum and also people asking if they can get 10% a day, so I collected 32 open source Gekko strategies from Github and backtested them against full year, to show a bit more realistic view of how much profit could be made if I followed these strategies for a whole year (2018). Keep in mind - reality is always worse than backtest.

You can see my results HERE.

Backtesting a strategy means - I have a code that gets candles and indicators as input (Bollinger Bands, RSI, MACD etc), and then makes BUY or SELL call or does nothing. Based on those calls, Gekko platform calculates profits/losses against historical data (in my case - BTC from Jan1 2018 to Jan1 2019). That's it.

This way you can get closer representation to reality compared to just trading some random basic oldschool strategy you found on somewhere that says you can make X% day with it.

For example, here is how results for 120m candles look like:


Here are buy/sell decisions from some of the best strategies. Green/Red arrows are buy/sell decisions.





I you are interested, you can also check my profile for more posts like this.
https://medium.com/@deandree
5  Economy / Trading Discussion / I backtested 15 Neural Network trading strategies with TOP20 Crypto Coins on: December 05, 2018, 07:43:55 AM
Hi, all!

I saw quite active trading discussion in this forum, so I thought I could share my research and maybe start a discussion about Neural Networks and trading strategies.

For the last few months I've been testing lots of trading strategies and sharing my results and analysis in Medium posts.
For my setup, I'm using Gekko open source platform. I would NOT call it BOT, it's more like a platform that let's you execute and test strategies that YOU have created.

So in the last month, I collected 15 best open source Neural Network strategies that I could find and backtested them against TOP coins, for September. For example, here is how results look like:



After that, I created another part, where I backtest July, August and October, month by month. To keep it short - there are good months and then there are bad ones, but I'm sure traders here already know that. Good thing is, even in this bear market, there is still a chance.

In my latest post (Part6), I get started on prediction analysis by trying to predict single event - huge price drop that started from November 14th. I draw the prediction lines on chart, so we can compare the accuracy, for example, here is neataptic strategy predictions with 5m candles and 900 history:


Often times I analyze buy/sell decisions made by strategies that accomplished best results, by drawing indicators on chart. For example, here is full Year 2018 results for RSIBB strategy from my upcoming (Part7) post:


Let me know if this is useful to you! Thanks!
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