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Freqtrade Basics
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Strategy Customization
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Control the bot
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Control the bot
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freqUI
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REST API
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Web Hook
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Data Downloading
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Backtesting
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Hyperopt
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FreqAI
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FreqAI
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Parameter table
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< h1 id = "advanced-backtesting-analysis" > Advanced Backtesting Analysis< a class = "headerlink" href = "#advanced-backtesting-analysis" title = "Permanent link" > ¶ < / a > < / h1 >
< h2 id = "analyze-the-buyentry-and-sellexit-tags" > Analyze the buy/entry and sell/exit tags< a class = "headerlink" href = "#analyze-the-buyentry-and-sellexit-tags" title = "Permanent link" > ¶ < / a > < / h2 >
< p > It can be helpful to understand how a strategy behaves according to the buy/entry tags used to
mark up different buy conditions. You might want to see more complex statistics about each buy and
sell condition above those provided by the default backtesting output. You may also want to
determine indicator values on the signal candle that resulted in a trade opening.< / p >
< div class = "admonition note" >
< p class = "admonition-title" > Note< / p >
< p > The following buy reason analysis is only available for backtesting, < em > not hyperopt< / em > .< / p >
< / div >
< p > We need to run backtesting with the < code > --export< / code > option set to < code > signals< / code > to enable the exporting of
signals < strong > and< / strong > trades:< / p >
< div class = "highlight" > < pre > < span > < / span > < code > freqtrade< span class = "w" > < / span > backtesting< span class = "w" > < / span > -c< span class = "w" > < / span > < config.json> < span class = "w" > < / span > --timeframe< span class = "w" > < / span > < tf> < span class = "w" > < / span > --strategy< span class = "w" > < / span > < strategy_name> < span class = "w" > < / span > --timerange< span class = "o" > =< / span > < timerange> < span class = "w" > < / span > --export< span class = "o" > =< / span > signals
< / code > < / pre > < / div >
< p > This will tell freqtrade to output a pickled dictionary of strategy, pairs and corresponding
DataFrame of the candles that resulted in buy signals. Depending on how many buys your strategy
makes, this file may get quite large, so periodically check your < code > user_data/backtest_results< / code >
folder to delete old exports.< / p >
< p > Before running your next backtest, make sure you either delete your old backtest results or run
backtesting with the < code > --cache none< / code > option to make sure no cached results are used.< / p >
< p > If all goes well, you should now see a < code > backtest-result-{timestamp}_signals.pkl< / code > file in the
< code > user_data/backtest_results< / code > folder.< / p >
< p > To analyze the entry/exit tags, we now need to use the < code > freqtrade backtesting-analysis< / code > command
with < code > --analysis-groups< / code > option provided with space-separated arguments:< / p >
< div class = "highlight" > < pre > < span > < / span > < code > freqtrade< span class = "w" > < / span > backtesting-analysis< span class = "w" > < / span > -c< span class = "w" > < / span > < config.json> < span class = "w" > < / span > --analysis-groups< span class = "w" > < / span > < span class = "m" > 0< / span > < span class = "w" > < / span > < span class = "m" > 1< / span > < span class = "w" > < / span > < span class = "m" > 2< / span > < span class = "w" > < / span > < span class = "m" > 3< / span > < span class = "w" > < / span > < span class = "m" > 4< / span > < span class = "w" > < / span > < span class = "m" > 5< / span >
< / code > < / pre > < / div >
< p > This command will read from the last backtesting results. The < code > --analysis-groups< / code > option is
used to specify the various tabular outputs showing the profit of each group or trade,
ranging from the simplest (0) to the most detailed per pair, per buy and per sell tag (4):< / p >
< ul >
< li > 0: overall winrate and profit summary by enter_tag< / li >
< li > 1: profit summaries grouped by enter_tag< / li >
< li > 2: profit summaries grouped by enter_tag and exit_tag< / li >
< li > 3: profit summaries grouped by pair and enter_tag< / li >
< li > 4: profit summaries grouped by pair, enter_ and exit_tag (this can get quite large)< / li >
< li > 5: profit summaries grouped by exit_tag< / li >
< / ul >
< p > More options are available by running with the < code > -h< / code > option.< / p >
< h3 id = "using-export-filename" > Using export-filename< a class = "headerlink" href = "#using-export-filename" title = "Permanent link" > ¶ < / a > < / h3 >
< p > Normally, < code > backtesting-analysis< / code > uses the latest backtest results, but if you wanted to go
back to a previous backtest output, you need to supply the < code > --export-filename< / code > option.
You can supply the same parameter to < code > backtest-analysis< / code > with the name of the final backtest
output file. This allows you to keep historical versions of backtest results and re-analyse
them at a later date:< / p >
< div class = "highlight" > < pre > < span > < / span > < code > freqtrade< span class = "w" > < / span > backtesting< span class = "w" > < / span > -c< span class = "w" > < / span > < config.json> < span class = "w" > < / span > --timeframe< span class = "w" > < / span > < tf> < span class = "w" > < / span > --strategy< span class = "w" > < / span > < strategy_name> < span class = "w" > < / span > --timerange< span class = "o" > =< / span > < timerange> < span class = "w" > < / span > --export< span class = "o" > =< / span > signals< span class = "w" > < / span > --export-filename< span class = "o" > =< / span > /tmp/mystrat_backtest.json
< / code > < / pre > < / div >
< p > You should see some output similar to below in the logs with the name of the timestamped
filename that was exported:< / p >
< div class = "highlight" > < pre > < span > < / span > < code > 2022-06-14 16:28:32,698 - freqtrade.misc - INFO - dumping json to " /tmp/mystrat_backtest-2022-06-14_16-28-32.json"
< / code > < / pre > < / div >
< p > You can then use that filename in < code > backtesting-analysis< / code > :< / p >
< div class = "highlight" > < pre > < span > < / span > < code > freqtrade backtesting-analysis -c < config.json> --export-filename=/tmp/mystrat_backtest-2022-06-14_16-28-32.json
< / code > < / pre > < / div >
< h3 id = "tuning-the-buy-tags-and-sell-tags-to-display" > Tuning the buy tags and sell tags to display< a class = "headerlink" href = "#tuning-the-buy-tags-and-sell-tags-to-display" title = "Permanent link" > ¶ < / a > < / h3 >
< p > To show only certain buy and sell tags in the displayed output, use the following two options:< / p >
< div class = "highlight" > < pre > < span > < / span > < code > --enter-reason-list : Space-separated list of enter signals to analyse. Default: " all"
--exit-reason-list : Space-separated list of exit signals to analyse. Default: " all"
< / code > < / pre > < / div >
< p > For example:< / p >
< div class = "highlight" > < pre > < span > < / span > < code > freqtrade< span class = "w" > < / span > backtesting-analysis< span class = "w" > < / span > -c< span class = "w" > < / span > < config.json> < span class = "w" > < / span > --analysis-groups< span class = "w" > < / span > < span class = "m" > 0< / span > < span class = "w" > < / span > < span class = "m" > 2< / span > < span class = "w" > < / span > --enter-reason-list< span class = "w" > < / span > enter_tag_a< span class = "w" > < / span > enter_tag_b< span class = "w" > < / span > --exit-reason-list< span class = "w" > < / span > roi< span class = "w" > < / span > custom_exit_tag_a< span class = "w" > < / span > stop_loss
< / code > < / pre > < / div >
< h3 id = "outputting-signal-candle-indicators" > Outputting signal candle indicators< a class = "headerlink" href = "#outputting-signal-candle-indicators" title = "Permanent link" > ¶ < / a > < / h3 >
< p > The real power of < code > freqtrade backtesting-analysis< / code > comes from the ability to print out the indicator
values present on signal candles to allow fine-grained investigation and tuning of buy signal
indicators. To print out a column for a given set of indicators, use the < code > --indicator-list< / code >
option:< / p >
< div class = "highlight" > < pre > < span > < / span > < code > freqtrade< span class = "w" > < / span > backtesting-analysis< span class = "w" > < / span > -c< span class = "w" > < / span > < config.json> < span class = "w" > < / span > --analysis-groups< span class = "w" > < / span > < span class = "m" > 0< / span > < span class = "w" > < / span > < span class = "m" > 2< / span > < span class = "w" > < / span > --enter-reason-list< span class = "w" > < / span > enter_tag_a< span class = "w" > < / span > enter_tag_b< span class = "w" > < / span > --exit-reason-list< span class = "w" > < / span > roi< span class = "w" > < / span > custom_exit_tag_a< span class = "w" > < / span > stop_loss< span class = "w" > < / span > --indicator-list< span class = "w" > < / span > rsi< span class = "w" > < / span > rsi_1h< span class = "w" > < / span > bb_lowerband< span class = "w" > < / span > ema_9< span class = "w" > < / span > macd< span class = "w" > < / span > macdsignal
< / code > < / pre > < / div >
< p > The indicators have to be present in your strategy's main DataFrame (either for your main
timeframe or for informative timeframes) otherwise they will simply be ignored in the script
output.< / p >
< p > There are a range of candle and trade-related fields that are included in the analysis so are
automatically accessible by including them on the indicator-list, and these include:< / p >
< ul >
< li > < strong > open_date :< / strong > trade open datetime< / li >
< li > < strong > close_date :< / strong > trade close datetime< / li >
< li > < strong > min_rate :< / strong > minimum price seen throughout the position< / li >
< li > < strong > max_rate :< / strong > maximum price seen throughout the position< / li >
< li > < strong > open :< / strong > signal candle open price< / li >
< li > < strong > close :< / strong > signal candle close price< / li >
< li > < strong > high :< / strong > signal candle high price< / li >
< li > < strong > low :< / strong > signal candle low price< / li >
< li > < strong > volume :< / strong > signal candle volume< / li >
< li > < strong > profit_ratio :< / strong > trade profit ratio< / li >
< li > < strong > profit_abs :< / strong > absolute profit return of the trade < / li >
< / ul >
< h3 id = "filtering-the-trade-output-by-date" > Filtering the trade output by date< a class = "headerlink" href = "#filtering-the-trade-output-by-date" title = "Permanent link" > ¶ < / a > < / h3 >
< p > To show only trades between dates within your backtested timerange, supply the usual < code > timerange< / code > option in < code > YYYYMMDD-[YYYYMMDD]< / code > format:< / p >
< div class = "highlight" > < pre > < span > < / span > < code > --timerange : Timerange to filter output trades, start date inclusive, end date exclusive. e.g. 20220101-20221231
< / code > < / pre > < / div >
< p > For example, if your backtest timerange was < code > 20220101-20221231< / code > but you only want to output trades in January:< / p >
< div class = "highlight" > < pre > < span > < / span > < code > freqtrade< span class = "w" > < / span > backtesting-analysis< span class = "w" > < / span > -c< span class = "w" > < / span > < config.json> < span class = "w" > < / span > --timerange< span class = "w" > < / span > < span class = "m" > 20220101< / span > -20220201
< / code > < / pre > < / div >
< h3 id = "printing-out-rejected-signals" > Printing out rejected signals< a class = "headerlink" href = "#printing-out-rejected-signals" title = "Permanent link" > ¶ < / a > < / h3 >
< p > Use the < code > --rejected-signals< / code > option to print out rejected signals.< / p >
< div class = "highlight" > < pre > < span > < / span > < code > freqtrade< span class = "w" > < / span > backtesting-analysis< span class = "w" > < / span > -c< span class = "w" > < / span > < config.json> < span class = "w" > < / span > --rejected-signals
< / code > < / pre > < / div >
< h3 id = "writing-tables-to-csv" > Writing tables to CSV< a class = "headerlink" href = "#writing-tables-to-csv" title = "Permanent link" > ¶ < / a > < / h3 >
< p > Some of the tabular outputs can become large, so printing them out to the terminal is not preferable.
Use the < code > --analysis-to-csv< / code > option to disable printing out of tables to standard out and write them to CSV files.< / p >
< div class = "highlight" > < pre > < span > < / span > < code > freqtrade< span class = "w" > < / span > backtesting-analysis< span class = "w" > < / span > -c< span class = "w" > < / span > < config.json> < span class = "w" > < / span > --analysis-to-csv
< / code > < / pre > < / div >
< p > By default this will write one file per output table you specified in the < code > backtesting-analysis< / code > command, e.g.< / p >
< div class = "highlight" > < pre > < span > < / span > < code > freqtrade< span class = "w" > < / span > backtesting-analysis< span class = "w" > < / span > -c< span class = "w" > < / span > < config.json> < span class = "w" > < / span > --analysis-to-csv< span class = "w" > < / span > --rejected-signals< span class = "w" > < / span > --analysis-groups< span class = "w" > < / span > < span class = "m" > 0< / span > < span class = "w" > < / span > < span class = "m" > 1< / span >
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< p > This will write to < code > user_data/backtest_results< / code > :< / p >
< ul >
< li > rejected_signals.csv< / li >
< li > group_0.csv< / li >
< li > group_1.csv< / li >
< / ul >
< p > To override where the files will be written, also specify the < code > --analysis-csv-path< / code > option.< / p >
< div class = "highlight" > < pre > < span > < / span > < code > freqtrade< span class = "w" > < / span > backtesting-analysis< span class = "w" > < / span > -c< span class = "w" > < / span > < config.json> < span class = "w" > < / span > --analysis-to-csv< span class = "w" > < / span > --analysis-csv-path< span class = "w" > < / span > another/data/path/
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