diff --git a/docs/advanced-backtesting.md b/docs/advanced-backtesting.md
index 2a484da69..5c2500f18 100644
--- a/docs/advanced-backtesting.md
+++ b/docs/advanced-backtesting.md
@@ -22,50 +22,79 @@ DataFrame of the candles that resulted in buy signals. Depending on how many buy
 makes, this file may get quite large, so periodically check your `user_data/backtest_results`
 folder to delete old exports.
 
-To analyze the buy tags, we need to use the `buy_reasons.py` script from
-[froggleston's repo](https://github.com/froggleston/freqtrade-buyreasons). Follow the instructions
-in their README to copy the script into your `freqtrade/scripts/` folder.
-
 Before running your next backtest, make sure you either delete your old backtest results or run
 backtesting with the `--cache none` option to make sure no cached results are used.
 
 If all goes well, you should now see a `backtest-result-{timestamp}_signals.pkl` file in the
 `user_data/backtest_results` folder.
 
-Now run the `buy_reasons.py` script, supplying a few options:
+To analyze the entry/exit tags, we now need to use the `freqtrade backtesting-analysis` command
+with `--analysis-groups` option provided with space-separated arguments (default `0 1 2`):
 
 ``` bash
-python3 scripts/buy_reasons.py -c <config.json> -s <strategy_name> -t <timerange> -g0,1,2,3,4
+freqtrade backtesting-analysis -c <config.json> --analysis-groups 0 1 2 3 4
 ```
 
-The `-g` option is used to specify the various tabular outputs, ranging from the simplest (0)
-to the most detailed per pair, per buy and per sell tag (4). More options are available by
-running with the `-h` option.
+This command will read from the last backtesting results. The `--analysis-groups` option is
+used to specify the various tabular outputs showing the profit fo each group or trade,
+ranging from the simplest (0) to the most detailed per pair, per buy and per sell tag (4):
+
+* 1: profit summaries grouped by enter_tag
+* 2: profit summaries grouped by enter_tag and exit_tag
+* 3: profit summaries grouped by pair and enter_tag
+* 4: profit summaries grouped by pair, enter_ and exit_tag (this can get quite large)
+
+More options are available by running with the `-h` option.
+
+### Using export-filename
+
+Normally, `backtesting-analysis` uses the latest backtest results, but if you wanted to go
+back to a previous backtest output, you need to supply the `--export-filename` option.
+You can supply the same parameter to `backtest-analysis` 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:
+
+``` bash
+freqtrade backtesting -c <config.json> --timeframe <tf> --strategy <strategy_name> --timerange=<timerange> --export=signals --export-filename=/tmp/mystrat_backtest.json
+```
+
+You should see some output similar to below in the logs with the name of the timestamped
+filename that was exported:
+
+```
+2022-06-14 16:28:32,698 - freqtrade.misc - INFO - dumping json to "/tmp/mystrat_backtest-2022-06-14_16-28-32.json"
+```
+
+You can then use that filename in `backtesting-analysis`:
+
+```
+freqtrade backtesting-analysis -c <config.json> --export-filename=/tmp/mystrat_backtest-2022-06-14_16-28-32.json
+```
 
 ### Tuning the buy tags and sell tags to display
 
 To show only certain buy and sell tags in the displayed output, use the following two options:
 
 ```
---enter_reason_list : Comma separated list of enter signals to analyse. Default: "all"
---exit_reason_list : Comma separated list of exit signals to analyse. Default: "stop_loss,trailing_stop_loss"
+--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"
 ```
 
 For example:
 
 ```bash
-python3 scripts/buy_reasons.py -c <config.json> -s <strategy_name> -t <timerange> -g0,1,2,3,4 --enter_reason_list "enter_tag_a,enter_tag_b" --exit_reason_list "roi,custom_exit_tag_a,stop_loss"
+freqtrade backtesting-analysis -c <config.json> --analysis-groups 0 2 --enter-reason-list enter_tag_a enter_tag_b --exit-reason-list roi custom_exit_tag_a stop_loss
 ```
 
 ### Outputting signal candle indicators
 
-The real power of the buy_reasons.py script comes from the ability to print out the indicator
+The real power of `freqtrade backtesting-analysis` 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 `--indicator-list`
 option:
 
 ```bash
-python3 scripts/buy_reasons.py -c <config.json> -s <strategy_name> -t <timerange> -g0,1,2,3,4 --enter_reason_list "enter_tag_a,enter_tag_b" --exit_reason_list "roi,custom_exit_tag_a,stop_loss" --indicator_list "rsi,rsi_1h,bb_lowerband,ema_9,macd,macdsignal"
+freqtrade backtesting-analysis -c <config.json> --analysis-groups 0 2 --enter-reason-list enter_tag_a enter_tag_b --exit-reason-list roi custom_exit_tag_a stop_loss --indicator-list rsi rsi_1h bb_lowerband ema_9 macd macdsignal
 ```
 
 The indicators have to be present in your strategy's main DataFrame (either for your main
diff --git a/docs/leverage.md b/docs/leverage.md
index 2ee6f8444..491e6eda0 100644
--- a/docs/leverage.md
+++ b/docs/leverage.md
@@ -64,7 +64,10 @@ You will also have to pick a "margin mode" (explanation below) - with freqtrade
 
 ### Margin mode
 
-The possible values are: `isolated`, or `cross`(*currently unavailable*)
+On top of `trading_mode` - you will also have to configure your `margin_mode`.
+While freqtrade currently only supports one margin mode, this will change, and by configuring it now you're all set for future updates.
+
+The possible values are: `isolated`, or `cross`(*currently unavailable*).
 
 #### Isolated margin mode
 
@@ -82,6 +85,16 @@ One account is used to share collateral between markets (trading pairs). Margin
 "margin_mode": "cross"
 ```
 
+## Set leverage to use
+
+Different strategies and risk profiles will require different levels of leverage.
+While you could configure one static leverage value - freqtrade offers you the flexibility to adjust this via [strategy leverage callback](strategy-callbacks.md#leverage-callback) - which allows you to use different leverages by pair, or based on some other factor benefitting your strategy result.
+
+If not implemented, leverage defaults to 1x (no leverage).
+
+!!! Warning
+    Higher leverage also equals higher risk - be sure you fully understand the implications of using leverage!
+
 ## Understand `liquidation_buffer`
 
 *Defaults to `0.05`*
diff --git a/docs/stoploss.md b/docs/stoploss.md
index 573fdbd6c..83f787947 100644
--- a/docs/stoploss.md
+++ b/docs/stoploss.md
@@ -191,6 +191,19 @@ For example, simplified math:
 !!! Tip
     Make sure to have this value (`trailing_stop_positive_offset`) lower than minimal ROI, otherwise minimal ROI will apply first and sell the trade.
 
+## Stoploss and Leverage
+
+Stoploss should be thought of as "risk on this trade" - so a stoploss of 10% on a 100$ trade means you are willing to lose 10$ (10%) on this trade - which would trigger if the price moves 10% to the downside.
+
+When using leverage, the same principle is applied - with stoploss defining the risk on the trade (the amount you are willing to lose).
+
+Therefore, a stoploss of 10% on a 10x trade would trigger on a 1% price move.
+If your stake amount (own capital) was 100$ - this trade would be 1000$ at 10x (after leverage).
+If price moves 1% - you've lost 10$ of your own capital - therfore stoploss will trigger in this case.
+
+Make sure to be aware of this, and avoid using too tight stoploss (at 10x leverage, 10% risk may be too little to allow the trade to "breath" a little).
+
+
 ## Changing stoploss on open trades
 
 A stoploss on an open trade can be changed by changing the value in the configuration or strategy and use the `/reload_config` command (alternatively, completely stopping and restarting the bot also works).
diff --git a/docs/strategy-callbacks.md b/docs/strategy-callbacks.md
index d2d2db8ce..817a15955 100644
--- a/docs/strategy-callbacks.md
+++ b/docs/strategy-callbacks.md
@@ -841,3 +841,6 @@ class AwesomeStrategy(IStrategy):
         """
         return 1.0
 ```
+
+All profit calculations include leverage. Stoploss / ROI also include leverage in their calculation.
+Defining a stoploss of 10% at 10x leverage would trigger the stoploss with a 1% move to the downside.
diff --git a/docs/utils.md b/docs/utils.md
index 9b799e5fc..0dd88b242 100644
--- a/docs/utils.md
+++ b/docs/utils.md
@@ -651,6 +651,61 @@ Common arguments:
 
 ```
 
+## Detailed backtest analysis
+
+Advanced backtest result analysis.
+
+More details in the [Backtesting analysis](advanced-backtesting.md#analyze-the-buyentry-and-sellexit-tags) Section.
+
+```
+usage: freqtrade backtesting-analysis [-h] [-v] [--logfile FILE] [-V]
+                                      [-c PATH] [-d PATH] [--userdir PATH]
+                                      [--export-filename PATH]
+                                      [--analysis-groups {0,1,2,3,4} [{0,1,2,3,4} ...]]
+                                      [--enter-reason-list ENTER_REASON_LIST [ENTER_REASON_LIST ...]]
+                                      [--exit-reason-list EXIT_REASON_LIST [EXIT_REASON_LIST ...]]
+                                      [--indicator-list INDICATOR_LIST [INDICATOR_LIST ...]]
+
+optional arguments:
+  -h, --help            show this help message and exit
+  --export-filename PATH, --backtest-filename PATH
+                        Use this filename for backtest results.Requires
+                        `--export` to be set as well. Example: `--export-filen
+                        ame=user_data/backtest_results/backtest_today.json`
+  --analysis-groups {0,1,2,3,4} [{0,1,2,3,4} ...]
+                        grouping output - 0: simple wins/losses by enter tag,
+                        1: by enter_tag, 2: by enter_tag and exit_tag, 3: by
+                        pair and enter_tag, 4: by pair, enter_ and exit_tag
+                        (this can get quite large)
+  --enter-reason-list ENTER_REASON_LIST [ENTER_REASON_LIST ...]
+                        Comma separated list of entry signals to analyse.
+                        Default: all. e.g. 'entry_tag_a,entry_tag_b'
+  --exit-reason-list EXIT_REASON_LIST [EXIT_REASON_LIST ...]
+                        Comma separated list of exit signals to analyse.
+                        Default: all. e.g.
+                        'exit_tag_a,roi,stop_loss,trailing_stop_loss'
+  --indicator-list INDICATOR_LIST [INDICATOR_LIST ...]
+                        Comma separated list of indicators to analyse. e.g.
+                        'close,rsi,bb_lowerband,profit_abs'
+
+Common arguments:
+  -v, --verbose         Verbose mode (-vv for more, -vvv to get all messages).
+  --logfile FILE        Log to the file specified. Special values are:
+                        'syslog', 'journald'. See the documentation for more
+                        details.
+  -V, --version         show program's version number and exit
+  -c PATH, --config PATH
+                        Specify configuration file (default:
+                        `userdir/config.json` or `config.json` whichever
+                        exists). Multiple --config options may be used. Can be
+                        set to `-` to read config from stdin.
+  -d PATH, --datadir PATH
+                        Path to directory with historical backtesting data.
+  --userdir PATH, --user-data-dir PATH
+                        Path to userdata directory.
+
+```
+
 ## List Hyperopt results
 
 You can list the hyperoptimization epochs the Hyperopt module evaluated previously with the `hyperopt-list` sub-command.
diff --git a/freqtrade/commands/__init__.py b/freqtrade/commands/__init__.py
index 0e637c487..d93ed1e09 100644
--- a/freqtrade/commands/__init__.py
+++ b/freqtrade/commands/__init__.py
@@ -6,6 +6,7 @@ Contains all start-commands, subcommands and CLI Interface creation.
 Note: Be careful with file-scoped imports in these subfiles.
     as they are parsed on startup, nothing containing optional modules should be loaded.
 """
+from freqtrade.commands.analyze_commands import start_analysis_entries_exits
 from freqtrade.commands.arguments import Arguments
 from freqtrade.commands.build_config_commands import start_new_config
 from freqtrade.commands.data_commands import (start_convert_data, start_convert_trades,
diff --git a/freqtrade/commands/analyze_commands.py b/freqtrade/commands/analyze_commands.py
new file mode 100755
index 000000000..b6b790788
--- /dev/null
+++ b/freqtrade/commands/analyze_commands.py
@@ -0,0 +1,69 @@
+import logging
+from pathlib import Path
+from typing import Any, Dict
+
+from freqtrade.configuration import setup_utils_configuration
+from freqtrade.enums import RunMode
+from freqtrade.exceptions import OperationalException
+
+
+logger = logging.getLogger(__name__)
+
+
+def setup_analyze_configuration(args: Dict[str, Any], method: RunMode) -> Dict[str, Any]:
+    """
+    Prepare the configuration for the entry/exit reason analysis module
+    :param args: Cli args from Arguments()
+    :param method: Bot running mode
+    :return: Configuration
+    """
+    config = setup_utils_configuration(args, method)
+
+    no_unlimited_runmodes = {
+        RunMode.BACKTEST: 'backtesting',
+    }
+    if method in no_unlimited_runmodes.keys():
+        from freqtrade.data.btanalysis import get_latest_backtest_filename
+
+        if 'exportfilename' in config:
+            if config['exportfilename'].is_dir():
+                btfile = Path(get_latest_backtest_filename(config['exportfilename']))
+                signals_file = f"{config['exportfilename']}/{btfile.stem}_signals.pkl"
+            else:
+                if config['exportfilename'].exists():
+                    btfile = Path(config['exportfilename'])
+                    signals_file = f"{btfile.parent}/{btfile.stem}_signals.pkl"
+                else:
+                    raise OperationalException(f"{config['exportfilename']} does not exist.")
+        else:
+            raise OperationalException('exportfilename not in config.')
+
+        if (not Path(signals_file).exists()):
+            raise OperationalException(
+                (f"Cannot find latest backtest signals file: {signals_file}."
+                  "Run backtesting with `--export signals`.")
+            )
+
+    return config
+
+
+def start_analysis_entries_exits(args: Dict[str, Any]) -> None:
+    """
+    Start analysis script
+    :param args: Cli args from Arguments()
+    :return: None
+    """
+    from freqtrade.data.entryexitanalysis import process_entry_exit_reasons
+
+    # Initialize configuration
+    config = setup_analyze_configuration(args, RunMode.BACKTEST)
+
+    logger.info('Starting freqtrade in analysis mode')
+
+    process_entry_exit_reasons(config['exportfilename'],
+                               config['exchange']['pair_whitelist'],
+                               config['analysis_groups'],
+                               config['enter_reason_list'],
+                               config['exit_reason_list'],
+                               config['indicator_list']
+                               )
diff --git a/freqtrade/commands/arguments.py b/freqtrade/commands/arguments.py
index 815e28175..1e3e2845a 100644
--- a/freqtrade/commands/arguments.py
+++ b/freqtrade/commands/arguments.py
@@ -101,6 +101,9 @@ ARGS_HYPEROPT_SHOW = ["hyperopt_list_best", "hyperopt_list_profitable", "hyperop
                       "print_json", "hyperoptexportfilename", "hyperopt_show_no_header",
                       "disableparamexport", "backtest_breakdown"]
 
+ARGS_ANALYZE_ENTRIES_EXITS = ["exportfilename", "analysis_groups", "enter_reason_list",
+                              "exit_reason_list", "indicator_list"]
+
 NO_CONF_REQURIED = ["convert-data", "convert-trade-data", "download-data", "list-timeframes",
                     "list-markets", "list-pairs", "list-strategies", "list-data",
                     "hyperopt-list", "hyperopt-show", "backtest-filter",
@@ -182,8 +185,9 @@ class Arguments:
         self.parser = argparse.ArgumentParser(description='Free, open source crypto trading bot')
         self._build_args(optionlist=['version'], parser=self.parser)
 
-        from freqtrade.commands import (start_backtesting, start_backtesting_show,
-                                        start_convert_data, start_convert_db, start_convert_trades,
+        from freqtrade.commands import (start_analysis_entries_exits, start_backtesting,
+                                        start_backtesting_show, start_convert_data,
+                                        start_convert_db, start_convert_trades,
                                         start_create_userdir, start_download_data, start_edge,
                                         start_hyperopt, start_hyperopt_list, start_hyperopt_show,
                                         start_install_ui, start_list_data, start_list_exchanges,
@@ -283,6 +287,13 @@ class Arguments:
         backtesting_show_cmd.set_defaults(func=start_backtesting_show)
         self._build_args(optionlist=ARGS_BACKTEST_SHOW, parser=backtesting_show_cmd)
 
+        # Add backtesting analysis subcommand
+        analysis_cmd = subparsers.add_parser('backtesting-analysis',
+                                             help='Backtest Analysis module.',
+                                             parents=[_common_parser])
+        analysis_cmd.set_defaults(func=start_analysis_entries_exits)
+        self._build_args(optionlist=ARGS_ANALYZE_ENTRIES_EXITS, parser=analysis_cmd)
+
         # Add edge subcommand
         edge_cmd = subparsers.add_parser('edge', help='Edge module.',
                                          parents=[_common_parser, _strategy_parser])
diff --git a/freqtrade/commands/cli_options.py b/freqtrade/commands/cli_options.py
index aac9f5713..3370ce64b 100644
--- a/freqtrade/commands/cli_options.py
+++ b/freqtrade/commands/cli_options.py
@@ -614,4 +614,37 @@ AVAILABLE_CLI_OPTIONS = {
               "that do not contain any parameters."),
         action="store_true",
     ),
+    "analysis_groups": Arg(
+        "--analysis-groups",
+        help=("grouping output - "
+              "0: simple wins/losses by enter tag, "
+              "1: by enter_tag, "
+              "2: by enter_tag and exit_tag, "
+              "3: by pair and enter_tag, "
+              "4: by pair, enter_ and exit_tag (this can get quite large)"),
+        nargs='+',
+        default=['0', '1', '2'],
+        choices=['0', '1', '2', '3', '4'],
+    ),
+    "enter_reason_list": Arg(
+        "--enter-reason-list",
+        help=("Comma separated list of entry signals to analyse. Default: all. "
+              "e.g. 'entry_tag_a,entry_tag_b'"),
+        nargs='+',
+        default=['all'],
+    ),
+    "exit_reason_list": Arg(
+        "--exit-reason-list",
+        help=("Comma separated list of exit signals to analyse. Default: all. "
+              "e.g. 'exit_tag_a,roi,stop_loss,trailing_stop_loss'"),
+        nargs='+',
+        default=['all'],
+    ),
+    "indicator_list": Arg(
+        "--indicator-list",
+        help=("Comma separated list of indicators to analyse. "
+              "e.g. 'close,rsi,bb_lowerband,profit_abs'"),
+        nargs='+',
+        default=[],
+    ),
 }
diff --git a/freqtrade/configuration/configuration.py b/freqtrade/configuration/configuration.py
index 3f563b6cd..2f9932070 100644
--- a/freqtrade/configuration/configuration.py
+++ b/freqtrade/configuration/configuration.py
@@ -95,6 +95,8 @@ class Configuration:
 
         self._process_data_options(config)
 
+        self._process_analyze_options(config)
+
         # Check if the exchange set by the user is supported
         check_exchange(config, config.get('experimental', {}).get('block_bad_exchanges', True))
 
@@ -433,6 +435,19 @@ class Configuration:
         self._args_to_config(config, argname='candle_types',
                              logstring='Detected --candle-types: {}')
 
+    def _process_analyze_options(self, config: Dict[str, Any]) -> None:
+        self._args_to_config(config, argname='analysis_groups',
+                             logstring='Analysis reason groups: {}')
+
+        self._args_to_config(config, argname='enter_reason_list',
+                             logstring='Analysis enter tag list: {}')
+
+        self._args_to_config(config, argname='exit_reason_list',
+                             logstring='Analysis exit tag list: {}')
+
+        self._args_to_config(config, argname='indicator_list',
+                             logstring='Analysis indicator list: {}')
+
     def _process_runmode(self, config: Dict[str, Any]) -> None:
 
         self._args_to_config(config, argname='dry_run',
diff --git a/freqtrade/data/entryexitanalysis.py b/freqtrade/data/entryexitanalysis.py
new file mode 100755
index 000000000..b22c3f87e
--- /dev/null
+++ b/freqtrade/data/entryexitanalysis.py
@@ -0,0 +1,227 @@
+import logging
+from pathlib import Path
+from typing import List, Optional
+
+import joblib
+import pandas as pd
+from tabulate import tabulate
+
+from freqtrade.data.btanalysis import (get_latest_backtest_filename, load_backtest_data,
+                                       load_backtest_stats)
+from freqtrade.exceptions import OperationalException
+
+
+logger = logging.getLogger(__name__)
+
+
+def _load_signal_candles(backtest_dir: Path):
+    if backtest_dir.is_dir():
+        scpf = Path(backtest_dir,
+                    Path(get_latest_backtest_filename(backtest_dir)).stem + "_signals.pkl"
+                    )
+    else:
+        scpf = Path(backtest_dir.parent / f"{backtest_dir.stem}_signals.pkl")
+
+    try:
+        scp = open(scpf, "rb")
+        signal_candles = joblib.load(scp)
+        logger.info(f"Loaded signal candles: {str(scpf)}")
+    except Exception as e:
+        logger.error("Cannot load signal candles from pickled results: ", e)
+
+    return signal_candles
+
+
+def _process_candles_and_indicators(pairlist, strategy_name, trades, signal_candles):
+    analysed_trades_dict = {}
+    analysed_trades_dict[strategy_name] = {}
+
+    try:
+        logger.info(f"Processing {strategy_name} : {len(pairlist)} pairs")
+
+        for pair in pairlist:
+            if pair in signal_candles[strategy_name]:
+                analysed_trades_dict[strategy_name][pair] = _analyze_candles_and_indicators(
+                                                              pair,
+                                                              trades,
+                                                              signal_candles[strategy_name][pair])
+    except Exception as e:
+        print(f"Cannot process entry/exit reasons for {strategy_name}: ", e)
+
+    return analysed_trades_dict
+
+
+def _analyze_candles_and_indicators(pair, trades, signal_candles):
+    buyf = signal_candles
+
+    if len(buyf) > 0:
+        buyf = buyf.set_index('date', drop=False)
+        trades_red = trades.loc[trades['pair'] == pair].copy()
+
+        trades_inds = pd.DataFrame()
+
+        if trades_red.shape[0] > 0 and buyf.shape[0] > 0:
+            for t, v in trades_red.open_date.items():
+                allinds = buyf.loc[(buyf['date'] < v)]
+                if allinds.shape[0] > 0:
+                    tmp_inds = allinds.iloc[[-1]]
+
+                    trades_red.loc[t, 'signal_date'] = tmp_inds['date'].values[0]
+                    trades_red.loc[t, 'enter_reason'] = trades_red.loc[t, 'enter_tag']
+                    tmp_inds.index.rename('signal_date', inplace=True)
+                    trades_inds = pd.concat([trades_inds, tmp_inds])
+
+            if 'signal_date' in trades_red:
+                trades_red['signal_date'] = pd.to_datetime(trades_red['signal_date'], utc=True)
+                trades_red.set_index('signal_date', inplace=True)
+
+                try:
+                    trades_red = pd.merge(trades_red, trades_inds, on='signal_date', how='outer')
+                except Exception as e:
+                    raise e
+        return trades_red
+    else:
+        return pd.DataFrame()
+
+
+def _do_group_table_output(bigdf, glist):
+    for g in glist:
+        # 0: summary wins/losses grouped by enter tag
+        if g == "0":
+            group_mask = ['enter_reason']
+            wins = bigdf.loc[bigdf['profit_abs'] >= 0] \
+                        .groupby(group_mask) \
+                        .agg({'profit_abs': ['sum']})
+
+            wins.columns = ['profit_abs_wins']
+            loss = bigdf.loc[bigdf['profit_abs'] < 0] \
+                        .groupby(group_mask) \
+                        .agg({'profit_abs': ['sum']})
+            loss.columns = ['profit_abs_loss']
+
+            new = bigdf.groupby(group_mask).agg({'profit_abs': [
+                                                    'count',
+                                                    lambda x: sum(x > 0),
+                                                    lambda x: sum(x <= 0)]})
+            new = pd.concat([new, wins, loss], axis=1).fillna(0)
+
+            new['profit_tot'] = new['profit_abs_wins'] - abs(new['profit_abs_loss'])
+            new['wl_ratio_pct'] = (new.iloc[:, 1] / new.iloc[:, 0] * 100).fillna(0)
+            new['avg_win'] = (new['profit_abs_wins'] / new.iloc[:, 1]).fillna(0)
+            new['avg_loss'] = (new['profit_abs_loss'] / new.iloc[:, 2]).fillna(0)
+
+            new.columns = ['total_num_buys', 'wins', 'losses', 'profit_abs_wins', 'profit_abs_loss',
+                           'profit_tot', 'wl_ratio_pct', 'avg_win', 'avg_loss']
+
+            sortcols = ['total_num_buys']
+
+            _print_table(new, sortcols, show_index=True)
+
+        else:
+            agg_mask = {'profit_abs': ['count', 'sum', 'median', 'mean'],
+                        'profit_ratio': ['sum', 'median', 'mean']}
+            agg_cols = ['num_buys', 'profit_abs_sum', 'profit_abs_median',
+                        'profit_abs_mean', 'median_profit_pct', 'mean_profit_pct',
+                        'total_profit_pct']
+            sortcols = ['profit_abs_sum', 'enter_reason']
+
+            # 1: profit summaries grouped by enter_tag
+            if g == "1":
+                group_mask = ['enter_reason']
+
+            # 2: profit summaries grouped by enter_tag and exit_tag
+            if g == "2":
+                group_mask = ['enter_reason', 'exit_reason']
+
+            # 3: profit summaries grouped by pair and enter_tag
+            if g == "3":
+                group_mask = ['pair', 'enter_reason']
+
+            # 4: profit summaries grouped by pair, enter_ and exit_tag (this can get quite large)
+            if g == "4":
+                group_mask = ['pair', 'enter_reason', 'exit_reason']
+            if group_mask:
+                new = bigdf.groupby(group_mask).agg(agg_mask).reset_index()
+                new.columns = group_mask + agg_cols
+                new['median_profit_pct'] = new['median_profit_pct'] * 100
+                new['mean_profit_pct'] = new['mean_profit_pct'] * 100
+                new['total_profit_pct'] = new['total_profit_pct'] * 100
+
+                _print_table(new, sortcols)
+            else:
+                logger.warning("Invalid group mask specified.")
+
+
+def _print_results(analysed_trades, stratname, analysis_groups,
+                   enter_reason_list, exit_reason_list,
+                   indicator_list, columns=None):
+    if columns is None:
+        columns = ['pair', 'open_date', 'close_date', 'profit_abs', 'enter_reason', 'exit_reason']
+
+    bigdf = pd.DataFrame()
+    for pair, trades in analysed_trades[stratname].items():
+        bigdf = pd.concat([bigdf, trades], ignore_index=True)
+
+    if bigdf.shape[0] > 0 and ('enter_reason' in bigdf.columns):
+        if analysis_groups:
+            _do_group_table_output(bigdf, analysis_groups)
+
+        if enter_reason_list and "all" not in enter_reason_list:
+            bigdf = bigdf.loc[(bigdf['enter_reason'].isin(enter_reason_list))]
+
+        if exit_reason_list and "all" not in exit_reason_list:
+            bigdf = bigdf.loc[(bigdf['exit_reason'].isin(exit_reason_list))]
+
+        if "all" in indicator_list:
+            print(bigdf)
+        elif indicator_list is not None:
+            available_inds = []
+            for ind in indicator_list:
+                if ind in bigdf:
+                    available_inds.append(ind)
+            ilist = ["pair", "enter_reason", "exit_reason"] + available_inds
+            _print_table(bigdf[ilist], sortcols=['exit_reason'], show_index=False)
+    else:
+        print("\\_ No trades to show")
+
+
+def _print_table(df, sortcols=None, show_index=False):
+    if (sortcols is not None):
+        data = df.sort_values(sortcols)
+    else:
+        data = df
+
+    print(
+        tabulate(
+            data,
+            headers='keys',
+            tablefmt='psql',
+            showindex=show_index
+        )
+    )
+
+
+def process_entry_exit_reasons(backtest_dir: Path,
+                               pairlist: List[str],
+                               analysis_groups: Optional[List[str]] = ["0", "1", "2"],
+                               enter_reason_list: Optional[List[str]] = ["all"],
+                               exit_reason_list: Optional[List[str]] = ["all"],
+                               indicator_list: Optional[List[str]] = []):
+    try:
+        backtest_stats = load_backtest_stats(backtest_dir)
+        for strategy_name, results in backtest_stats['strategy'].items():
+            trades = load_backtest_data(backtest_dir, strategy_name)
+
+            if not trades.empty:
+                signal_candles = _load_signal_candles(backtest_dir)
+                analysed_trades_dict = _process_candles_and_indicators(pairlist, strategy_name,
+                                                                       trades, signal_candles)
+                _print_results(analysed_trades_dict,
+                               strategy_name,
+                               analysis_groups,
+                               enter_reason_list,
+                               exit_reason_list,
+                               indicator_list)
+
+    except ValueError as e:
+        raise OperationalException(e) from e
diff --git a/freqtrade/exchange/exchange.py b/freqtrade/exchange/exchange.py
index dc63a111c..7c83ea03c 100644
--- a/freqtrade/exchange/exchange.py
+++ b/freqtrade/exchange/exchange.py
@@ -93,7 +93,7 @@ class Exchange:
         :return: None
         """
         self._api: ccxt.Exchange
-        self._api_async: ccxt_async.Exchange
+        self._api_async: ccxt_async.Exchange = None
         self._markets: Dict = {}
         self._trading_fees: Dict[str, Any] = {}
         self._leverage_tiers: Dict[str, List[Dict]] = {}
diff --git a/freqtrade/optimize/backtesting.py b/freqtrade/optimize/backtesting.py
index fda267fee..040c42823 100644
--- a/freqtrade/optimize/backtesting.py
+++ b/freqtrade/optimize/backtesting.py
@@ -1297,13 +1297,14 @@ class Backtesting:
                 self.results['strategy_comparison'].extend(results['strategy_comparison'])
             else:
                 self.results = results
-
+            dt_appendix = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
             if self.config.get('export', 'none') in ('trades', 'signals'):
-                store_backtest_stats(self.config['exportfilename'], self.results)
+                store_backtest_stats(self.config['exportfilename'], self.results, dt_appendix)
 
             if (self.config.get('export', 'none') == 'signals' and
                     self.dataprovider.runmode == RunMode.BACKTEST):
-                store_backtest_signal_candles(self.config['exportfilename'], self.processed_dfs)
+                store_backtest_signal_candles(
+                    self.config['exportfilename'], self.processed_dfs, dt_appendix)
 
         # Results may be mixed up now. Sort them so they follow --strategy-list order.
         if 'strategy_list' in self.config and len(self.results) > 0:
diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py
index e3dd17411..44b524a4c 100644
--- a/freqtrade/optimize/optimize_reports.py
+++ b/freqtrade/optimize/optimize_reports.py
@@ -17,21 +17,21 @@ from freqtrade.optimize.backtest_caching import get_backtest_metadata_filename
 logger = logging.getLogger(__name__)
 
 
-def store_backtest_stats(recordfilename: Path, stats: Dict[str, DataFrame]) -> None:
+def store_backtest_stats(
+        recordfilename: Path, stats: Dict[str, DataFrame], dtappendix: str) -> None:
     """
     Stores backtest results
     :param recordfilename: Path object, which can either be a filename or a directory.
         Filenames will be appended with a timestamp right before the suffix
         while for directories, <directory>/backtest-result-<datetime>.json will be used as filename
     :param stats: Dataframe containing the backtesting statistics
+    :param dtappendix: Datetime to use for the filename
     """
     if recordfilename.is_dir():
-        filename = (recordfilename /
-                    f'backtest-result-{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}.json')
+        filename = (recordfilename / f'backtest-result-{dtappendix}.json')
     else:
         filename = Path.joinpath(
-            recordfilename.parent,
-            f'{recordfilename.stem}-{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}'
+            recordfilename.parent, f'{recordfilename.stem}-{dtappendix}'
         ).with_suffix(recordfilename.suffix)
 
     # Store metadata separately.
@@ -44,7 +44,8 @@ def store_backtest_stats(recordfilename: Path, stats: Dict[str, DataFrame]) -> N
     file_dump_json(latest_filename, {'latest_backtest': str(filename.name)})
 
 
-def store_backtest_signal_candles(recordfilename: Path, candles: Dict[str, Dict]) -> Path:
+def store_backtest_signal_candles(
+        recordfilename: Path, candles: Dict[str, Dict], dtappendix: str) -> Path:
     """
     Stores backtest trade signal candles
     :param recordfilename: Path object, which can either be a filename or a directory.
@@ -52,14 +53,13 @@ def store_backtest_signal_candles(recordfilename: Path, candles: Dict[str, Dict]
         while for directories, <directory>/backtest-result-<datetime>_signals.pkl will be used
         as filename
     :param stats: Dict containing the backtesting signal candles
+    :param dtappendix: Datetime to use for the filename
     """
     if recordfilename.is_dir():
-        filename = (recordfilename /
-                    f'backtest-result-{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}_signals.pkl')
+        filename = (recordfilename / f'backtest-result-{dtappendix}_signals.pkl')
     else:
         filename = Path.joinpath(
-            recordfilename.parent,
-            f'{recordfilename.stem}-{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}_signals.pkl'
+            recordfilename.parent, f'{recordfilename.stem}-{dtappendix}_signals.pkl'
         )
 
     file_dump_joblib(filename, candles)
diff --git a/freqtrade/persistence/trade_model.py b/freqtrade/persistence/trade_model.py
index 6d7e40580..e8dbc3504 100644
--- a/freqtrade/persistence/trade_model.py
+++ b/freqtrade/persistence/trade_model.py
@@ -666,8 +666,8 @@ class LocalTrade():
         """
         self.close_rate = rate
         self.close_date = self.close_date or datetime.utcnow()
-        self.close_profit = self.calc_profit_ratio()
-        self.close_profit_abs = self.calc_profit() + self.realized_profit
+        self.close_profit = self.calc_profit_ratio(rate)
+        self.close_profit_abs = self.calc_profit(rate) + self.realized_profit
         self.is_open = False
         self.exit_order_status = 'closed'
         self.open_order_id = None
@@ -716,12 +716,12 @@ class LocalTrade():
         """
         return len([o for o in self.orders if o.ft_order_side == self.exit_side])
 
-    def _calc_open_trade_value(self) -> float:
+    def _calc_open_trade_value(self, amount: float, open_rate: float) -> float:
         """
         Calculate the open_rate including open_fee.
         :return: Price in of the open trade incl. Fees
         """
-        open_trade = Decimal(self.amount) * Decimal(self.open_rate)
+        open_trade = Decimal(amount) * Decimal(open_rate)
         fees = open_trade * Decimal(self.fee_open)
         if self.is_short:
             return float(open_trade - fees)
@@ -733,12 +733,11 @@ class LocalTrade():
         Recalculate open_trade_value.
         Must be called whenever open_rate, fee_open is changed.
         """
-        self.open_trade_value = self._calc_open_trade_value()
+        self.open_trade_value = self._calc_open_trade_value(self.amount, self.open_rate)
 
-    def calculate_interest(self, interest_rate: Optional[float] = None) -> Decimal:
+    def calculate_interest(self) -> Decimal:
         """
-        :param interest_rate: interest_charge for borrowing this coin(optional).
-        If interest_rate is not set self.interest_rate will be used
+        Calculate interest for this trade. Only applicable for Margin trading.
         """
         zero = Decimal(0.0)
         # If nothing was borrowed
@@ -751,90 +750,77 @@ class LocalTrade():
         total_seconds = Decimal((now - open_date).total_seconds())
         hours = total_seconds / sec_per_hour or zero
 
-        rate = Decimal(interest_rate or self.interest_rate)
+        rate = Decimal(self.interest_rate)
         borrowed = Decimal(self.borrowed)
 
         return interest(exchange_name=self.exchange, borrowed=borrowed, rate=rate, hours=hours)
 
-    def _calc_base_close(self, amount: Decimal, rate: Optional[float] = None,
-                         fee: Optional[float] = None) -> Decimal:
+    def _calc_base_close(self, amount: Decimal, rate: float, fee: float) -> Decimal:
 
-        close_trade = Decimal(amount) * Decimal(rate or self.close_rate)  # type: ignore
-        fees = close_trade * Decimal(fee or self.fee_close)
+        close_trade = amount * Decimal(rate)
+        fees = close_trade * Decimal(fee)
 
         if self.is_short:
             return close_trade + fees
         else:
             return close_trade - fees
 
-    def calc_close_trade_value(self, rate: Optional[float] = None,
-                               fee: Optional[float] = None,
-                               interest_rate: Optional[float] = None) -> float:
+    def calc_close_trade_value(self, rate: float, amount: float = None) -> float:
         """
-        Calculate the close_rate including fee
-        :param fee: fee to use on the close rate (optional).
-            If rate is not set self.fee will be used
-        :param rate: rate to compare with (optional).
-            If rate is not set self.close_rate will be used
-        :param interest_rate: interest_charge for borrowing this coin (optional).
-            If interest_rate is not set self.interest_rate will be used
-        :return: Price in BTC of the open trade
+        Calculate the Trade's close value including fees
+        :param rate: rate to compare with.
+        :return: value in stake currency of the open trade
         """
         if rate is None and not self.close_rate:
             return 0.0
 
-        amount = Decimal(self.amount)
+        amount = Decimal(amount or self.amount)
         trading_mode = self.trading_mode or TradingMode.SPOT
 
         if trading_mode == TradingMode.SPOT:
-            return float(self._calc_base_close(amount, rate, fee))
+            return float(self._calc_base_close(amount, rate, self.fee_close))
 
         elif (trading_mode == TradingMode.MARGIN):
 
-            total_interest = self.calculate_interest(interest_rate)
+            total_interest = self.calculate_interest()
 
             if self.is_short:
                 amount = amount + total_interest
-                return float(self._calc_base_close(amount, rate, fee))
+                return float(self._calc_base_close(amount, rate, self.fee_close))
             else:
                 # Currency already owned for longs, no need to purchase
-                return float(self._calc_base_close(amount, rate, fee) - total_interest)
+                return float(self._calc_base_close(amount, rate, self.fee_close) - total_interest)
 
         elif (trading_mode == TradingMode.FUTURES):
             funding_fees = self.funding_fees or 0.0
             # Positive funding_fees -> Trade has gained from fees.
             # Negative funding_fees -> Trade had to pay the fees.
             if self.is_short:
-                return float(self._calc_base_close(amount, rate, fee)) - funding_fees
+                return float(self._calc_base_close(amount, rate, self.fee_close)) - funding_fees
             else:
-                return float(self._calc_base_close(amount, rate, fee)) + funding_fees
+                return float(self._calc_base_close(amount, rate, self.fee_close)) + funding_fees
         else:
             raise OperationalException(
                 f"{self.trading_mode.value} trading is not yet available using freqtrade")
 
-    def calc_profit(self, rate: Optional[float] = None,
-                    fee: Optional[float] = None,
-                    interest_rate: Optional[float] = None) -> float:
+    def calc_profit(self, rate: float, amount: float = None, open_rate: float = None) -> float:
         """
         Calculate the absolute profit in stake currency between Close and Open trade
-        :param fee: fee to use on the close rate (optional).
-            If fee is not set self.fee will be used
-        :param rate: close rate to compare with (optional).
-            If rate is not set self.close_rate will be used
-        :param interest_rate: interest_charge for borrowing this coin (optional).
-            If interest_rate is not set self.interest_rate will be used
-        :return:  profit in stake currency as float
+        :param rate: close rate to compare with.
+        :param amount: Amount to use for the calculation. Falls back to trade.amount if not set.
+        :param open_rate: open_rate to use. Defaults to self.open_rate if not provided.
+        :return: profit in stake currency as float
         """
-        close_trade_value = self.calc_close_trade_value(
-            rate=(rate or self.close_rate),
-            fee=(fee or self.fee_close),
-            interest_rate=(interest_rate or self.interest_rate)
-        )
+        close_trade_value = self.calc_close_trade_value(rate, amount)
+        if amount is None or open_rate is None:
+            open_trade_value = self.open_trade_value
+        else:
+            open_trade_value = self._calc_open_trade_value(amount, open_rate)
 
         if self.is_short:
-            profit = self.open_trade_value - close_trade_value
+            profit = open_trade_value - close_trade_value
         else:
-            profit = close_trade_value - self.open_trade_value
+            profit = close_trade_value - open_trade_value
         return float(f"{profit:.8f}")
 
     def calc_profit2(self, open_rate: float, close_rate: float,
@@ -845,35 +831,33 @@ class LocalTrade():
                      * (Decimal(1 - self.fee_close) * Decimal(close_rate)
                         - Decimal(1 + self.fee_open) * Decimal(open_rate)))
 
-    def calc_profit_ratio(self, rate: Optional[float] = None,
-                          fee: Optional[float] = None,
-                          interest_rate: Optional[float] = None) -> float:
+    def calc_profit_ratio(
+            self, rate: float, amount: float = None, open_rate: float = None) -> float:
         """
         Calculates the profit as ratio (including fee).
-        :param rate: rate to compare with (optional).
-            If rate is not set self.close_rate will be used
-        :param fee: fee to use on the close rate (optional).
-        :param interest_rate: interest_charge for borrowing this coin (optional).
-            If interest_rate is not set self.interest_rate will be used
+        :param rate: rate to compare with.
+        :param amount: Amount to use for the calculation. Falls back to trade.amount if not set.
+        :param open_rate: open_rate to use. Defaults to self.open_rate if not provided.
         :return: profit ratio as float
         """
-        close_trade_value = self.calc_close_trade_value(
-            rate=(rate or self.close_rate),
-            fee=(fee or self.fee_close),
-            interest_rate=(interest_rate or self.interest_rate)
-        )
+        close_trade_value = self.calc_close_trade_value(rate, amount)
+
+        if amount is None or open_rate is None:
+            open_trade_value = self.open_trade_value
+        else:
+            open_trade_value = self._calc_open_trade_value(amount, open_rate)
 
         short_close_zero = (self.is_short and close_trade_value == 0.0)
-        long_close_zero = (not self.is_short and self.open_trade_value == 0.0)
+        long_close_zero = (not self.is_short and open_trade_value == 0.0)
         leverage = self.leverage or 1.0
 
         if (short_close_zero or long_close_zero):
             return 0.0
         else:
             if self.is_short:
-                profit_ratio = (1 - (close_trade_value / self.open_trade_value)) * leverage
+                profit_ratio = (1 - (close_trade_value / open_trade_value)) * leverage
             else:
-                profit_ratio = ((close_trade_value / self.open_trade_value) - 1) * leverage
+                profit_ratio = ((close_trade_value / open_trade_value) - 1) * leverage
 
         return float(f"{profit_ratio:.8f}")
 
diff --git a/freqtrade/rpc/api_server/api_backtest.py b/freqtrade/rpc/api_server/api_backtest.py
index 26b100408..06f04729b 100644
--- a/freqtrade/rpc/api_server/api_backtest.py
+++ b/freqtrade/rpc/api_server/api_backtest.py
@@ -1,6 +1,7 @@
 import asyncio
 import logging
 from copy import deepcopy
+from datetime import datetime
 from typing import Any, Dict, List
 
 from fastapi import APIRouter, BackgroundTasks, Depends
@@ -102,7 +103,10 @@ async def api_start_backtest(bt_settings: BacktestRequest, background_tasks: Bac
                     min_date=min_date, max_date=max_date)
 
             if btconfig.get('export', 'none') == 'trades':
-                store_backtest_stats(btconfig['exportfilename'], ApiServer._bt.results)
+                store_backtest_stats(
+                    btconfig['exportfilename'], ApiServer._bt.results,
+                    datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
+                    )
 
             logger.info("Backtest finished.")
 
diff --git a/freqtrade/rpc/rpc.py b/freqtrade/rpc/rpc.py
index ec2d5dbf5..871a59ac7 100644
--- a/freqtrade/rpc/rpc.py
+++ b/freqtrade/rpc/rpc.py
@@ -512,7 +512,7 @@ class RPC:
 
     def _rpc_balance(self, stake_currency: str, fiat_display_currency: str) -> Dict:
         """ Returns current account balance per crypto """
-        currencies = []
+        currencies: List[Dict] = []
         total = 0.0
         try:
             tickers = self._freqtrade.exchange.get_tickers(cached=True)
@@ -547,13 +547,12 @@ class RPC:
                 except (ExchangeError):
                     logger.warning(f" Could not get rate for pair {coin}.")
                     continue
-            total = total + (est_stake or 0)
+            total = total + est_stake
             currencies.append({
                 'currency': coin,
-                # TODO: The below can be simplified if we don't assign None to values.
-                'free': balance.free if balance.free is not None else 0,
-                'balance': balance.total if balance.total is not None else 0,
-                'used': balance.used if balance.used is not None else 0,
+                'free': balance.free,
+                'balance': balance.total,
+                'used': balance.used,
                 'est_stake': est_stake or 0,
                 'stake': stake_currency,
                 'side': 'long',
@@ -583,7 +582,6 @@ class RPC:
             total, stake_currency, fiat_display_currency) if self._fiat_converter else 0
 
         trade_count = len(Trade.get_trades_proxy())
-        starting_capital_ratio = 0.0
         starting_capital_ratio = (total / starting_capital) - 1 if starting_capital else 0.0
         starting_cap_fiat_ratio = (value / starting_cap_fiat) - 1 if starting_cap_fiat else 0.0
 
@@ -871,7 +869,7 @@ class RPC:
             else:
                 errors[pair] = {
                     'error_msg': f"Pair {pair} is not in the current blacklist."
-                    }
+                }
         resp = self._rpc_blacklist()
         resp['errors'] = errors
         return resp
diff --git a/tests/data/test_entryexitanalysis.py b/tests/data/test_entryexitanalysis.py
new file mode 100755
index 000000000..09fbe9957
--- /dev/null
+++ b/tests/data/test_entryexitanalysis.py
@@ -0,0 +1,191 @@
+import logging
+from unittest.mock import MagicMock, PropertyMock
+
+import pandas as pd
+import pytest
+
+from freqtrade.commands.analyze_commands import start_analysis_entries_exits
+from freqtrade.commands.optimize_commands import start_backtesting
+from freqtrade.enums import ExitType
+from freqtrade.optimize.backtesting import Backtesting
+from tests.conftest import get_args, patch_exchange, patched_configuration_load_config_file
+
+
+@pytest.fixture(autouse=True)
+def entryexitanalysis_cleanup() -> None:
+    yield None
+
+    Backtesting.cleanup()
+
+
+def test_backtest_analysis_nomock(default_conf, mocker, caplog, testdatadir, tmpdir, capsys):
+    caplog.set_level(logging.INFO)
+
+    default_conf.update({
+        "use_exit_signal": True,
+        "exit_profit_only": False,
+        "exit_profit_offset": 0.0,
+        "ignore_roi_if_entry_signal": False,
+    })
+    patch_exchange(mocker)
+    result1 = pd.DataFrame({'pair': ['ETH/BTC', 'LTC/BTC', 'ETH/BTC', 'LTC/BTC'],
+                            'profit_ratio': [0.025, 0.05, -0.1, -0.05],
+                            'profit_abs': [0.5, 2.0, -4.0, -2.0],
+                            'open_date': pd.to_datetime(['2018-01-29 18:40:00',
+                                                         '2018-01-30 03:30:00',
+                                                         '2018-01-30 08:10:00',
+                                                         '2018-01-31 13:30:00', ], utc=True
+                                                        ),
+                            'close_date': pd.to_datetime(['2018-01-29 20:45:00',
+                                                          '2018-01-30 05:35:00',
+                                                          '2018-01-30 09:10:00',
+                                                          '2018-01-31 15:00:00', ], utc=True),
+                            'trade_duration': [235, 40, 60, 90],
+                            'is_open': [False, False, False, False],
+                            'stake_amount': [0.01, 0.01, 0.01, 0.01],
+                            'open_rate': [0.104445, 0.10302485, 0.10302485, 0.10302485],
+                            'close_rate': [0.104969, 0.103541, 0.102041, 0.102541],
+                            "is_short": [False, False, False, False],
+                            'enter_tag': ["enter_tag_long_a",
+                                          "enter_tag_long_b",
+                                          "enter_tag_long_a",
+                                          "enter_tag_long_b"],
+                            'exit_reason': [ExitType.ROI,
+                                            ExitType.EXIT_SIGNAL,
+                                            ExitType.STOP_LOSS,
+                                            ExitType.TRAILING_STOP_LOSS]
+                            })
+
+    backtestmock = MagicMock(side_effect=[
+        {
+            'results': result1,
+            'config': default_conf,
+            'locks': [],
+            'rejected_signals': 20,
+            'timedout_entry_orders': 0,
+            'timedout_exit_orders': 0,
+            'canceled_trade_entries': 0,
+            'canceled_entry_orders': 0,
+            'replaced_entry_orders': 0,
+            'final_balance': 1000,
+        }
+    ])
+    mocker.patch('freqtrade.plugins.pairlistmanager.PairListManager.whitelist',
+                 PropertyMock(return_value=['ETH/BTC', 'LTC/BTC', 'DASH/BTC']))
+    mocker.patch('freqtrade.optimize.backtesting.Backtesting.backtest', backtestmock)
+
+    patched_configuration_load_config_file(mocker, default_conf)
+
+    args = [
+        'backtesting',
+        '--config', 'config.json',
+        '--datadir', str(testdatadir),
+        '--user-data-dir', str(tmpdir),
+        '--timeframe', '5m',
+        '--timerange', '1515560100-1517287800',
+        '--export', 'signals',
+        '--cache', 'none',
+    ]
+    args = get_args(args)
+    start_backtesting(args)
+
+    captured = capsys.readouterr()
+    assert 'BACKTESTING REPORT' in captured.out
+    assert 'EXIT REASON STATS' in captured.out
+    assert 'LEFT OPEN TRADES REPORT' in captured.out
+
+    base_args = [
+        'backtesting-analysis',
+        '--config', 'config.json',
+        '--datadir', str(testdatadir),
+        '--user-data-dir', str(tmpdir),
+    ]
+
+    # test group 0 and indicator list
+    args = get_args(base_args +
+                    ['--analysis-groups', "0",
+                     '--indicator-list', "close", "rsi", "profit_abs"]
+                    )
+    start_analysis_entries_exits(args)
+    captured = capsys.readouterr()
+    assert 'LTC/BTC' in captured.out
+    assert 'ETH/BTC' in captured.out
+    assert 'enter_tag_long_a' in captured.out
+    assert 'enter_tag_long_b' in captured.out
+    assert 'exit_signal' in captured.out
+    assert 'roi' in captured.out
+    assert 'stop_loss' in captured.out
+    assert 'trailing_stop_loss' in captured.out
+    assert '0.5' in captured.out
+    assert '-4' in captured.out
+    assert '-2' in captured.out
+    assert '-3.5' in captured.out
+    assert '50' in captured.out
+    assert '0' in captured.out
+    assert '0.01616' in captured.out
+    assert '34.049' in captured.out
+    assert '0.104104' in captured.out
+    assert '47.0996' in captured.out
+
+    # test group 1
+    args = get_args(base_args + ['--analysis-groups', "1"])
+    start_analysis_entries_exits(args)
+    captured = capsys.readouterr()
+    assert 'enter_tag_long_a' in captured.out
+    assert 'enter_tag_long_b' in captured.out
+    assert 'total_profit_pct' in captured.out
+    assert '-3.5' in captured.out
+    assert '-1.75' in captured.out
+    assert '-7.5' in captured.out
+    assert '-3.75' in captured.out
+    assert '0' in captured.out
+
+    # test group 2
+    args = get_args(base_args + ['--analysis-groups', "2"])
+    start_analysis_entries_exits(args)
+    captured = capsys.readouterr()
+    assert 'enter_tag_long_a' in captured.out
+    assert 'enter_tag_long_b' in captured.out
+    assert 'exit_signal' in captured.out
+    assert 'roi' in captured.out
+    assert 'stop_loss' in captured.out
+    assert 'trailing_stop_loss' in captured.out
+    assert 'total_profit_pct' in captured.out
+    assert '-10' in captured.out
+    assert '-5' in captured.out
+    assert '2.5' in captured.out
+
+    # test group 3
+    args = get_args(base_args + ['--analysis-groups', "3"])
+    start_analysis_entries_exits(args)
+    captured = capsys.readouterr()
+    assert 'LTC/BTC' in captured.out
+    assert 'ETH/BTC' in captured.out
+    assert 'enter_tag_long_a' in captured.out
+    assert 'enter_tag_long_b' in captured.out
+    assert 'total_profit_pct' in captured.out
+    assert '-7.5' in captured.out
+    assert '-3.75' in captured.out
+    assert '-1.75' in captured.out
+    assert '0' in captured.out
+    assert '2' in captured.out
+
+    # test group 4
+    args = get_args(base_args + ['--analysis-groups', "4"])
+    start_analysis_entries_exits(args)
+    captured = capsys.readouterr()
+    assert 'LTC/BTC' in captured.out
+    assert 'ETH/BTC' in captured.out
+    assert 'enter_tag_long_a' in captured.out
+    assert 'enter_tag_long_b' in captured.out
+    assert 'exit_signal' in captured.out
+    assert 'roi' in captured.out
+    assert 'stop_loss' in captured.out
+    assert 'trailing_stop_loss' in captured.out
+    assert 'total_profit_pct' in captured.out
+    assert '-10' in captured.out
+    assert '-5' in captured.out
+    assert '-4' in captured.out
+    assert '0.5' in captured.out
+    assert '1' in captured.out
+    assert '2.5' in captured.out
diff --git a/tests/optimize/test_optimize_reports.py b/tests/optimize/test_optimize_reports.py
index 997c0436e..562e12820 100644
--- a/tests/optimize/test_optimize_reports.py
+++ b/tests/optimize/test_optimize_reports.py
@@ -171,7 +171,7 @@ def test_generate_backtest_stats(default_conf, testdatadir, tmpdir):
     _backup_file(filename_last, copy_file=True)
     assert not filename.is_file()
 
-    store_backtest_stats(filename, stats)
+    store_backtest_stats(filename, stats, '2022_01_01_15_05_13')
 
     # get real Filename (it's btresult-<date>.json)
     last_fn = get_latest_backtest_filename(filename_last.parent)
@@ -194,7 +194,7 @@ def test_store_backtest_stats(testdatadir, mocker):
 
     dump_mock = mocker.patch('freqtrade.optimize.optimize_reports.file_dump_json')
 
-    store_backtest_stats(testdatadir, {'metadata': {}})
+    store_backtest_stats(testdatadir, {'metadata': {}}, '2022_01_01_15_05_13')
 
     assert dump_mock.call_count == 3
     assert isinstance(dump_mock.call_args_list[0][0][0], Path)
@@ -202,7 +202,7 @@ def test_store_backtest_stats(testdatadir, mocker):
 
     dump_mock.reset_mock()
     filename = testdatadir / 'testresult.json'
-    store_backtest_stats(filename, {'metadata': {}})
+    store_backtest_stats(filename, {'metadata': {}}, '2022_01_01_15_05_13')
     assert dump_mock.call_count == 3
     assert isinstance(dump_mock.call_args_list[0][0][0], Path)
     # result will be testdatadir / testresult-<timestamp>.json
@@ -216,7 +216,7 @@ def test_store_backtest_candles(testdatadir, mocker):
     candle_dict = {'DefStrat': {'UNITTEST/BTC': pd.DataFrame()}}
 
     # mock directory exporting
-    store_backtest_signal_candles(testdatadir, candle_dict)
+    store_backtest_signal_candles(testdatadir, candle_dict, '2022_01_01_15_05_13')
 
     assert dump_mock.call_count == 1
     assert isinstance(dump_mock.call_args_list[0][0][0], Path)
@@ -225,7 +225,7 @@ def test_store_backtest_candles(testdatadir, mocker):
     dump_mock.reset_mock()
     # mock file exporting
     filename = Path(testdatadir / 'testresult')
-    store_backtest_signal_candles(filename, candle_dict)
+    store_backtest_signal_candles(filename, candle_dict, '2022_01_01_15_05_13')
     assert dump_mock.call_count == 1
     assert isinstance(dump_mock.call_args_list[0][0][0], Path)
     # result will be testdatadir / testresult-<timestamp>_signals.pkl
@@ -238,7 +238,7 @@ def test_write_read_backtest_candles(tmpdir):
     candle_dict = {'DefStrat': {'UNITTEST/BTC': pd.DataFrame()}}
 
     # test directory exporting
-    stored_file = store_backtest_signal_candles(Path(tmpdir), candle_dict)
+    stored_file = store_backtest_signal_candles(Path(tmpdir), candle_dict, '2022_01_01_15_05_13')
     scp = open(stored_file, "rb")
     pickled_signal_candles = joblib.load(scp)
     scp.close()
@@ -252,7 +252,7 @@ def test_write_read_backtest_candles(tmpdir):
 
     # test file exporting
     filename = Path(tmpdir / 'testresult')
-    stored_file = store_backtest_signal_candles(filename, candle_dict)
+    stored_file = store_backtest_signal_candles(filename, candle_dict, '2022_01_01_15_05_13')
     scp = open(stored_file, "rb")
     pickled_signal_candles = joblib.load(scp)
     scp.close()
diff --git a/tests/rpc/test_rpc_apiserver.py b/tests/rpc/test_rpc_apiserver.py
index 03ba895a1..ada1a82ec 100644
--- a/tests/rpc/test_rpc_apiserver.py
+++ b/tests/rpc/test_rpc_apiserver.py
@@ -852,8 +852,8 @@ def test_api_performance(botclient, fee):
         close_rate=0.265441,
 
     )
-    trade.close_profit = trade.calc_profit_ratio()
-    trade.close_profit_abs = trade.calc_profit()
+    trade.close_profit = trade.calc_profit_ratio(trade.close_rate)
+    trade.close_profit_abs = trade.calc_profit(trade.close_rate)
     Trade.query.session.add(trade)
 
     trade = Trade(
@@ -868,8 +868,8 @@ def test_api_performance(botclient, fee):
         fee_open=fee.return_value,
         close_rate=0.391
     )
-    trade.close_profit = trade.calc_profit_ratio()
-    trade.close_profit_abs = trade.calc_profit()
+    trade.close_profit = trade.calc_profit_ratio(trade.close_rate)
+    trade.close_profit_abs = trade.calc_profit(trade.close_rate)
 
     Trade.query.session.add(trade)
     Trade.commit()
@@ -1384,12 +1384,14 @@ def test_api_strategies(botclient):
     rc = client_get(client, f"{BASE_URI}/strategies")
 
     assert_response(rc)
+
     assert rc.json() == {'strategies': [
         'HyperoptableStrategy',
         'InformativeDecoratorTest',
         'StrategyTestV2',
         'StrategyTestV3',
-        'StrategyTestV3Futures',
+        'StrategyTestV3Analysis',
+        'StrategyTestV3Futures'
     ]}
 
 
diff --git a/tests/strategy/strats/strategy_test_v3_analysis.py b/tests/strategy/strats/strategy_test_v3_analysis.py
new file mode 100644
index 000000000..290fef156
--- /dev/null
+++ b/tests/strategy/strats/strategy_test_v3_analysis.py
@@ -0,0 +1,175 @@
+# pragma pylint: disable=missing-docstring, invalid-name, pointless-string-statement
+
+import talib.abstract as ta
+from pandas import DataFrame
+
+import freqtrade.vendor.qtpylib.indicators as qtpylib
+from freqtrade.strategy import (BooleanParameter, DecimalParameter, IntParameter, IStrategy,
+                                RealParameter)
+
+
+class StrategyTestV3Analysis(IStrategy):
+    """
+    Strategy used by tests freqtrade bot.
+    Please do not modify this strategy, it's  intended for internal use only.
+    Please look at the SampleStrategy in the user_data/strategy directory
+    or strategy repository https://github.com/freqtrade/freqtrade-strategies
+    for samples and inspiration.
+    """
+    INTERFACE_VERSION = 3
+
+    # Minimal ROI designed for the strategy
+    minimal_roi = {
+        "40": 0.0,
+        "30": 0.01,
+        "20": 0.02,
+        "0": 0.04
+    }
+
+    # Optimal stoploss designed for the strategy
+    stoploss = -0.10
+
+    # Optimal timeframe for the strategy
+    timeframe = '5m'
+
+    # Optional order type mapping
+    order_types = {
+        'entry': 'limit',
+        'exit': 'limit',
+        'stoploss': 'limit',
+        'stoploss_on_exchange': False
+    }
+
+    # Number of candles the strategy requires before producing valid signals
+    startup_candle_count: int = 20
+
+    # Optional time in force for orders
+    order_time_in_force = {
+        'entry': 'gtc',
+        'exit': 'gtc',
+    }
+
+    buy_params = {
+        'buy_rsi': 35,
+        # Intentionally not specified, so "default" is tested
+        # 'buy_plusdi': 0.4
+    }
+
+    sell_params = {
+        'sell_rsi': 74,
+        'sell_minusdi': 0.4
+    }
+
+    buy_rsi = IntParameter([0, 50], default=30, space='buy')
+    buy_plusdi = RealParameter(low=0, high=1, default=0.5, space='buy')
+    sell_rsi = IntParameter(low=50, high=100, default=70, space='sell')
+    sell_minusdi = DecimalParameter(low=0, high=1, default=0.5001, decimals=3, space='sell',
+                                    load=False)
+    protection_enabled = BooleanParameter(default=True)
+    protection_cooldown_lookback = IntParameter([0, 50], default=30)
+
+    # TODO: Can this work with protection tests? (replace HyperoptableStrategy implicitly ... )
+    # @property
+    # def protections(self):
+    #     prot = []
+    #     if self.protection_enabled.value:
+    #         prot.append({
+    #             "method": "CooldownPeriod",
+    #             "stop_duration_candles": self.protection_cooldown_lookback.value
+    #         })
+    #     return prot
+
+    bot_started = False
+
+    def bot_start(self):
+        self.bot_started = True
+
+    def informative_pairs(self):
+
+        return []
+
+    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+
+        # Momentum Indicator
+        # ------------------------------------
+
+        # ADX
+        dataframe['adx'] = ta.ADX(dataframe)
+
+        # MACD
+        macd = ta.MACD(dataframe)
+        dataframe['macd'] = macd['macd']
+        dataframe['macdsignal'] = macd['macdsignal']
+        dataframe['macdhist'] = macd['macdhist']
+
+        # Minus Directional Indicator / Movement
+        dataframe['minus_di'] = ta.MINUS_DI(dataframe)
+
+        # Plus Directional Indicator / Movement
+        dataframe['plus_di'] = ta.PLUS_DI(dataframe)
+
+        # RSI
+        dataframe['rsi'] = ta.RSI(dataframe)
+
+        # Stoch fast
+        stoch_fast = ta.STOCHF(dataframe)
+        dataframe['fastd'] = stoch_fast['fastd']
+        dataframe['fastk'] = stoch_fast['fastk']
+
+        # Bollinger bands
+        bollinger = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, stds=2)
+        dataframe['bb_lowerband'] = bollinger['lower']
+        dataframe['bb_middleband'] = bollinger['mid']
+        dataframe['bb_upperband'] = bollinger['upper']
+
+        # EMA - Exponential Moving Average
+        dataframe['ema10'] = ta.EMA(dataframe, timeperiod=10)
+
+        return dataframe
+
+    def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+
+        dataframe.loc[
+            (
+                (dataframe['rsi'] < self.buy_rsi.value) &
+                (dataframe['fastd'] < 35) &
+                (dataframe['adx'] > 30) &
+                (dataframe['plus_di'] > self.buy_plusdi.value)
+            ) |
+            (
+                (dataframe['adx'] > 65) &
+                (dataframe['plus_di'] > self.buy_plusdi.value)
+            ),
+            ['enter_long', 'enter_tag']] = 1, 'enter_tag_long'
+
+        dataframe.loc[
+            (
+                qtpylib.crossed_below(dataframe['rsi'], self.sell_rsi.value)
+            ),
+            ['enter_short', 'enter_tag']] = 1, 'enter_tag_short'
+
+        return dataframe
+
+    def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+        dataframe.loc[
+            (
+                (
+                    (qtpylib.crossed_above(dataframe['rsi'], self.sell_rsi.value)) |
+                    (qtpylib.crossed_above(dataframe['fastd'], 70))
+                ) &
+                (dataframe['adx'] > 10) &
+                (dataframe['minus_di'] > 0)
+            ) |
+            (
+                (dataframe['adx'] > 70) &
+                (dataframe['minus_di'] > self.sell_minusdi.value)
+            ),
+            ['exit_long', 'exit_tag']] = 1, 'exit_tag_long'
+
+        dataframe.loc[
+            (
+                qtpylib.crossed_above(dataframe['rsi'], self.buy_rsi.value)
+            ),
+            ['exit_long', 'exit_tag']] = 1, 'exit_tag_short'
+
+        return dataframe
diff --git a/tests/strategy/test_strategy_loading.py b/tests/strategy/test_strategy_loading.py
index 919a4bd00..666ae2b05 100644
--- a/tests/strategy/test_strategy_loading.py
+++ b/tests/strategy/test_strategy_loading.py
@@ -34,7 +34,7 @@ def test_search_all_strategies_no_failed():
     directory = Path(__file__).parent / "strats"
     strategies = StrategyResolver.search_all_objects(directory, enum_failed=False)
     assert isinstance(strategies, list)
-    assert len(strategies) == 5
+    assert len(strategies) == 6
     assert isinstance(strategies[0], dict)
 
 
@@ -42,10 +42,10 @@ def test_search_all_strategies_with_failed():
     directory = Path(__file__).parent / "strats"
     strategies = StrategyResolver.search_all_objects(directory, enum_failed=True)
     assert isinstance(strategies, list)
-    assert len(strategies) == 6
+    assert len(strategies) == 7
     # with enum_failed=True search_all_objects() shall find 2 good strategies
     # and 1 which fails to load
-    assert len([x for x in strategies if x['class'] is not None]) == 5
+    assert len([x for x in strategies if x['class'] is not None]) == 6
     assert len([x for x in strategies if x['class'] is None]) == 1
 
 
diff --git a/tests/test_freqtradebot.py b/tests/test_freqtradebot.py
index 3188283b7..6978042d3 100644
--- a/tests/test_freqtradebot.py
+++ b/tests/test_freqtradebot.py
@@ -2150,7 +2150,7 @@ def test_handle_trade(
 
     assert trade.close_rate == 2.0 if is_short else 2.2
     assert trade.close_profit == close_profit
-    assert trade.calc_profit() == 5.685
+    assert trade.calc_profit(trade.close_rate) == 5.685
     assert trade.close_date is not None
     assert trade.exit_reason == 'sell_signal1'
 
diff --git a/tests/test_persistence.py b/tests/test_persistence.py
index c4611a624..d344fde6a 100644
--- a/tests/test_persistence.py
+++ b/tests/test_persistence.py
@@ -605,10 +605,10 @@ def test_calc_open_close_trade_price(
     trade.open_rate = 2.0
     trade.close_rate = 2.2
     trade.recalc_open_trade_value()
-    assert isclose(trade._calc_open_trade_value(), open_value)
-    assert isclose(trade.calc_close_trade_value(), close_value)
-    assert isclose(trade.calc_profit(), round(profit, 8))
-    assert pytest.approx(trade.calc_profit_ratio()) == profit_ratio
+    assert isclose(trade._calc_open_trade_value(trade.amount, trade.open_rate), open_value)
+    assert isclose(trade.calc_close_trade_value(trade.close_rate), close_value)
+    assert isclose(trade.calc_profit(trade.close_rate), round(profit, 8))
+    assert pytest.approx(trade.calc_profit_ratio(trade.close_rate)) == profit_ratio
 
 
 @pytest.mark.usefixtures("init_persistence")
@@ -660,7 +660,7 @@ def test_calc_close_trade_price_exception(limit_buy_order_usdt, fee):
     trade.open_order_id = 'something'
     oobj = Order.parse_from_ccxt_object(limit_buy_order_usdt, 'ADA/USDT', 'buy')
     trade.update_trade(oobj)
-    assert trade.calc_close_trade_value() == 0.0
+    assert trade.calc_close_trade_value(trade.close_rate) == 0.0
 
 
 @pytest.mark.usefixtures("init_persistence")
@@ -763,7 +763,7 @@ def test_calc_open_trade_value(
     trade.update_trade(oobj)  # Buy @ 2.0
 
     # Get the open rate price with the standard fee rate
-    assert trade._calc_open_trade_value() == result
+    assert trade._calc_open_trade_value(trade.amount, trade.open_rate) == result
 
 
 @pytest.mark.parametrize(
@@ -813,7 +813,7 @@ def test_calc_close_trade_price(
         funding_fees=funding_fees
     )
     trade.open_order_id = 'close_trade'
-    assert round(trade.calc_close_trade_value(rate=close_rate, fee=fee_rate), 8) == result
+    assert round(trade.calc_close_trade_value(rate=close_rate), 8) == result
 
 
 @pytest.mark.parametrize(
@@ -884,6 +884,17 @@ def test_calc_close_trade_price(
         ('binance', False, 3, 2.2, 0.0025, 4.684999, 0.23366583, futures, -1),
         ('binance', True, 1, 2.2, 0.0025, -7.315, -0.12222222, futures, -1),
         ('binance', True, 3, 2.2, 0.0025, -7.315, -0.36666666, futures, -1),
+
+        # FUTURES, funding_fee=0
+        ('binance', False, 1, 2.1, 0.0025, 2.6925, 0.04476309, futures, 0),
+        ('binance', False, 3, 2.1, 0.0025, 2.6925, 0.13428928, futures, 0),
+        ('binance', True, 1, 2.1, 0.0025, -3.3074999, -0.05526316, futures, 0),
+        ('binance', True, 3, 2.1, 0.0025, -3.3074999, -0.16578947, futures, 0),
+
+        ('binance', False, 1, 1.9, 0.0025, -3.2925, -0.05473815, futures, 0),
+        ('binance', False, 3, 1.9, 0.0025, -3.2925, -0.16421446, futures, 0),
+        ('binance', True, 1, 1.9, 0.0025, 2.7075, 0.0452381, futures, 0),
+        ('binance', True, 3, 1.9, 0.0025, 2.7075, 0.13571429, futures, 0),
     ])
 @pytest.mark.usefixtures("init_persistence")
 def test_calc_profit(
@@ -1128,6 +1139,11 @@ def test_calc_profit(
     assert pytest.approx(trade.calc_profit(rate=close_rate)) == round(profit, 8)
     assert pytest.approx(trade.calc_profit_ratio(rate=close_rate)) == round(profit_ratio, 8)
 
+    assert pytest.approx(trade.calc_profit(close_rate, trade.amount,
+                         trade.open_rate)) == round(profit, 8)
+    assert pytest.approx(trade.calc_profit_ratio(close_rate, trade.amount,
+                         trade.open_rate)) == round(profit_ratio, 8)
+
 
 def test_migrate_new(mocker, default_conf, fee, caplog):
     """
@@ -1287,7 +1303,7 @@ def test_migrate_new(mocker, default_conf, fee, caplog):
     assert log_has("trying trades_bak2", caplog)
     assert log_has("Running database migration for trades - backup: trades_bak2, orders_bak0",
                    caplog)
-    assert trade.open_trade_value == trade._calc_open_trade_value()
+    assert trade.open_trade_value == trade._calc_open_trade_value(trade.amount, trade.open_rate)
     assert trade.close_profit_abs is None
 
     orders = trade.orders
@@ -2299,7 +2315,7 @@ def test_recalc_trade_from_orders(fee):
     )
 
     assert fee.return_value == 0.0025
-    assert trade._calc_open_trade_value() == o1_trade_val
+    assert trade._calc_open_trade_value(trade.amount, trade.open_rate) == o1_trade_val
     assert trade.amount == o1_amount
     assert trade.stake_amount == o1_cost
     assert trade.open_rate == o1_rate