Many traders turns into crypto trading because of its high volatility and maximum availability compare to Forex or stock trading. They do have/develop some strategy/idea to generate buy-sell signal. What they donot have, 1- how to optimize their strategy for the maximum performance, in what timeframe or timerange they have to operate and what would be the optimize set of variables for the maximum performance
Who is the target market?
Crypto traders.
What do you think is the opportunity of this project?
Inviting data scientist, algorithm developer, traders and enthusiast join together to solve the problem
How does it integrate with thenewboston digital currency work?
If we are successful to have a tools that deliver the optimize parameter for a given trading strategy, the reward would be in thenewboston token.
Are there any competitors?
Not I am aware of.
What are your goals and objectives?
The input could be a strategy file written in python that specify when to generate buy, sell signals and in which pairs(BTC/USDT for example) and when to generate a sell signal(take profit, hit stoploss, execution expire, ...) and a range of variables that is used in the strategy ( cross of 20-ema and 50-ema, RSI hit above 70, MACD signal, .......)
in this case the goal of our tool would be:
1- for the maximum profit you have to use ema-20 on 5 minutes OHLC candle, hit ema-65 on 12h OHLC candle, and
2- RSI is above 40 but less than 55 in 15 minutes OHLC candle and
3- MACD is in uptrend
because
with this feature optmization your buy-sell strategy return above 70% win-rate with sharpe-ration of 1.9 when tested in 6-month BTC/USDT historical data. The accumulated profit for initial 1000 USDT investment is 560 USDT, with maximum drawdown of 250USDT.
Average profit per win is 2.2 % and average loss is 3.5%
How will you evaluate project success?
generating the same result when a user do backtesting.
By posting this issue, I (author of this issue) allow my project idea to be used by other people for any commercial as well as non-commercial purposes and I'll not be liable for misuse of my idea.
How would you describe your project?
A tools for optimising an algorithm trading.
What problem does it solve?
Many traders turns into crypto trading because of its high volatility and maximum availability compare to Forex or stock trading. They do have/develop some strategy/idea to generate buy-sell signal. What they donot have, 1- how to optimize their strategy for the maximum performance, in what timeframe or timerange they have to operate and what would be the optimize set of variables for the maximum performance
Who is the target market?
Crypto traders.
What do you think is the opportunity of this project?
Inviting data scientist, algorithm developer, traders and enthusiast join together to solve the problem
How does it integrate with thenewboston digital currency work?
If we are successful to have a tools that deliver the optimize parameter for a given trading strategy, the reward would be in thenewboston token.
Are there any competitors?
Not I am aware of.
What are your goals and objectives?
The input could be a strategy file written in python that specify when to generate buy, sell signals and in which pairs(BTC/USDT for example) and when to generate a sell signal(take profit, hit stoploss, execution expire, ...) and a range of variables that is used in the strategy ( cross of 20-ema and 50-ema, RSI hit above 70, MACD signal, .......) in this case the goal of our tool would be: 1- for the maximum profit you have to use ema-20 on 5 minutes OHLC candle, hit ema-65 on 12h OHLC candle, and 2- RSI is above 40 but less than 55 in 15 minutes OHLC candle and 3- MACD is in uptrend because with this feature optmization your buy-sell strategy return above 70% win-rate with sharpe-ration of 1.9 when tested in 6-month BTC/USDT historical data. The accumulated profit for initial 1000 USDT investment is 560 USDT, with maximum drawdown of 250USDT. Average profit per win is 2.2 % and average loss is 3.5%
How will you evaluate project success?
generating the same result when a user do backtesting.
By posting this issue, I (author of this issue) allow my project idea to be used by other people for any commercial as well as non-commercial purposes and I'll not be liable for misuse of my idea.