BB%B scalping strategy - tests & optimizations

I told you @remy1111 that this strategy doesn’t not perferm on binance exchnage and it is one coin strategy when i test it with 8 to 9 coins , then it produces negative results

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I’ve tried with multiple strategies to create an profitable short bot and my conclusion was always the same: downside is limited to -100% and the potential upside where a coin could go up is unlimited. The odds are against you when you go short.

@remy1111 are you running a real bot on your strategy if yes, will you share the results so far?

I stopped the bot because the results were slightly disappointing.
Because what I often saw was some differences between real, paper and backtest. Of course that was to be expected, because it is impossible to get those 3 environments equal. But because the bot sometimes makes small gains of 0.25%, you do see a big difference especially on real. Just a fictitious example:
Real: - 0,25%
Paper: 0,05%
Backtest: 0,1%

Now those differences are not very big at first, but do that 50x (again fictitious number), and then it does add up in terms of loss or low profit.

So now I made another version of the bot that works on 1h instead of 15min, so the deals stay open longer but the profits are bigger. And if he takes 5% profit on paper/backtest and only 4% on real, I don’t care, because then there is a profit instead of a minimal loss.

I also have this one active on real, will keep you updated.

Backtest:
https://app.gainium.io/bot/backtests?a=140&aid=share-backtest&backtestShare=950f0bf4-f16a-4f55-b4d1-3e45ee69144e

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I think that is because of slippage or order book size of the exchange. I am running your strategy and it only took 6 trades in last 31 days. When i backtested the same period. It also showed 6 trades but only difference was percentages of profit and loss. Otherwise deals and profitable and losing trades were the same.

Regarding the “BB%B High Sortino Ratio” strategy (no DCA).

When adjusting the number of Max. open deals. Does it mean, the total profit (after e.g. a year) relates to all the open positions only, or is the total profit related to the entire amount of money invested in the bot on the beginning (Base Order)?

I am asking because I saw, the lower the “max. open deals” number the higher is the profit. But when only fewer coins where bought, than perhaps the total profit after a longer period is not that high, compared to an investment in more coins (more max. open deals).

Hope its clear what I mean…

Thanks and KR

does anyone has a strategy in json?

1st time in my live started a bot “BB%B High Sortino Ratio” and bot done the 1st deal with BTC.
Loses 121,- $ …

As this is a long strategy, wouldn´t it be better to buy low and sell high??
Am I doing something wrong?

Since 2nd April only 6 deals with a horrible performance. I guess this Bot does not work… Very dissapointed…

Hey there! I’m brand new to this platform, and to trading in general. I’ve been in crypto since 2014 mainly as a HODLer. Getting to the point, I want to learn to trade so I’m not a victim of the whales and market makers anymore, it’s time. I tried the BB Scalping strategy that was posted on YouTube about a year ago and I followed along EXACTLY with that video, my results were insanely bad in the backtesting! Granted we were in very different market conditions 1 year ago, but still, after all the optimizations, I’m not seeing anything remotely useable or profitable. Where can I find profitable strategies on Gainium? Preferably ones that have been doing well in the last 90 days during this insane bearish trend?

This strategy was working well for a few years, then it didn’t perform so well. I haven’t tested it lately since I mostly run short combos (I posted about that strategy too). It’s possible that it lost the hedge, but perhaps it could still perform with some modifications.

May you share the link to the short strategy and why do you mostly run short combos and no long combos? maybe you can share a short combo bot preset just to develop my skills and understanding.

:folded_hands: