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90 lines
3.6 KiB
Markdown
90 lines
3.6 KiB
Markdown
# Freqtrade FAQ
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### Freqtrade commons
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#### I have waited 5 minutes, why hasn't the bot made any trades yet?!
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Depending on the buy strategy, the amount of whitelisted coins, the
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situation of the market etc, it can take up to hours to find good entry
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position for a trade. Be patient!
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#### I have made 12 trades already, why is my total profit negative?!
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I understand your disappointment but unfortunately 12 trades is just
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not enough to say anything. If you run backtesting, you can see that our
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current algorithm does leave you on the plus side, but that is after
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thousands of trades and even there, you will be left with losses on
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specific coins that you have traded tens if not hundreds of times. We
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of course constantly aim to improve the bot but it will _always_ be a
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gamble, which should leave you with modest wins on monthly basis but
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you can't say much from few trades.
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#### I’d like to change the stake amount. Can I just stop the bot with
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/stop and then change the config.json and run it again?
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Not quite. Trades are persisted to a database but the configuration is
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currently only read when the bot is killed and restarted. `/stop` more
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like pauses. You can stop your bot, adjust settings and start it again.
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#### I want to improve the bot with a new strategy
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That's great. We have a nice backtesting and hyperoptimizing setup. See
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the tutorial [here|Testing-new-strategies-with-Hyperopt](bot-usage.md#hyperopt-commands).
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#### Is there a setting to only SELL the coins being held and not
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perform anymore BUYS?
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You can use the `/forcesell all` command from Telegram.
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### Hyperopt module
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#### How many epoch do I need to get a good Hyperopt result?
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Per default Hyperopts without `-e` or `--epochs` parameter will only
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run 100 epochs, means 100 evals of your triggers, guards, .... Too few
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to find a great result (unless if you are very lucky), so you probably
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have to run it for 10.000 or more. But it will take an eternity to
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compute.
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We recommend you to run it at least 10.000 epochs:
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```bash
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python3 ./freqtrade/main.py hyperopt -e 10000
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```
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or if you want intermediate result to see
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```bash
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for i in {1..100}; do python3 ./freqtrade/main.py hyperopt -e 100; done
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```
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#### Why it is so long to run hyperopt?
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Finding a great Hyperopt results takes time.
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If you wonder why it takes a while to find great hyperopt results
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This answer was written during the under the release 0.15.1, when we had
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:
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- 8 triggers
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- 9 guards: let's say we evaluate even 10 values from each
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- 1 stoploss calculation: let's say we want 10 values from that too to
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be evaluated
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The following calculation is still very rough and not very precise
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but it will give the idea. With only these triggers and guards there is
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already 8*10^9*10 evaluations. A roughly total of 80 billion evals.
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Did you run 100 000 evals? Congrats, you've done roughly 1 / 100 000 th
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of the search space.
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### Edge module
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#### Edge implements interesting approach for controlling position size, is there any theory behind it?
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The Edge module is mostly a result of brainstorming of [@mishaker](https://github.com/mishaker) and [@creslinux](https://github.com/creslinux) freqtrade team members.
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You can find further info on expectancy, winrate, risk management and position size in the following sources:
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* https://www.tradeciety.com/ultimate-math-guide-for-traders/
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* http://www.vantharp.com/tharp-concepts/expectancy.asp
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* https://samuraitradingacademy.com/trading-expectancy/
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* https://www.learningmarkets.com/determining-expectancy-in-your-trading/
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* http://www.lonestocktrader.com/make-money-trading-positive-expectancy/
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* https://www.babypips.com/trading/trade-expectancy-matter
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