2.8 KiB
freqtrade FAQ
I have waited 5 minutes, why hasn't the bot made any trades yet?!
Depending on the buy strategy, the amount of whitelisted coins, the situation of the market etc, it can take up to hours to find good entry position for a trade. Be patient!
I have made 12 trades already, why is my total profit negative?!
I understand your disappointment but unfortunately 12 trades is just not enough to say anything. If you run backtesting, you can see that our current algorithm does leave you on the plus side, but that is after thousands of trades and even there, you will be left with losses on specific coins that you have traded tens if not hundreds of times. We of course constantly aim to improve the bot but it will always be a gamble, which should leave you with modest wins on monthly basis but you can't say much from few trades.
I’d like to change the stake amount. Can I just stop the bot with
/stop and then change the config.json and run it again?
Not quite. Trades are persisted to a database but the configuration is
currently only read when the bot is killed and restarted. /stop more
like pauses. You can stop your bot, adjust settings and start it again.
I want to improve the bot with a new strategy
That's great. We have a nice backtesting and hyperoptimizing setup. See the tutorial here|Testing-new-strategies-with-Hyperopt.
Is there a setting to only SELL the coins being held and not
perform anymore BUYS?
You can use the /forcesell all command from Telegram.
How many epoch do I need to get a good Hyperopt result?
Per default Hyperopts without -e or --epochs parameter will only
run 100 epochs, means 100 evals of your triggers, guards, .... Too few
to find a great result (unless if you are very lucky), so you probably
have to run it for 10.000 or more. But it will take an eternity to
compute.
We recommend you to run it at least 10.000 epochs:
python3 ./freqtrade/main.py hyperopt -e 10000
or if you want intermediate result to see
for i in {1..100}; do python3 ./freqtrade/main.py hyperopt -e 100; done
Why it is so long to run hyperopt?
Finding a great Hyperopt results takes time.
If you wonder why it takes a while to find great hyperopt results
This answer was written during the under the release 0.15.1, when we had :
- 8 triggers
- 9 guards: let's say we evaluate even 10 values from each
- 1 stoploss calculation: let's say we want 10 values from that too to be evaluated
The following calculation is still very rough and not very precise but it will give the idea. With only these triggers and guards there is already 810^910 evaluations. A roughly total of 80 billion evals. Did you run 100 000 evals? Congrats, you've done roughly 1 / 100 000 th of the search space.