Merge branch 'develop' into freqai_feature_engineering_functions

2023-01-04 10:40:20 -03:00 · 2023-01-04 10:40:20 -03:00 · ed2b1b1ed1
parent 801ab39a24 38a780ef63
commit ed2b1b1ed1
42 changed files with 846 additions and 605 deletions
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@ -147,15 +147,20 @@ jobs:
    - name: Installation - macOS
      if: runner.os == 'macOS'
      run: |
-        # homebrew fails to update python 3.9.1 to 3.9.1.1 due to unlinking failure
+        brew update
+        # homebrew fails to update python due to unlinking failures
+        # https://github.com/actions/runner-images/issues/6817
        rm /usr/local/bin/2to3 || true
-        # homebrew fails to update python from 3.9 to 3.10 due to another unlinking failure
+        rm /usr/local/bin/2to3-3.11 || true
        rm /usr/local/bin/idle3 || true
+        rm /usr/local/bin/idle3.11 || true
        rm /usr/local/bin/pydoc3 || true
+        rm /usr/local/bin/pydoc3.11 || true
        rm /usr/local/bin/python3 || true
+        rm /usr/local/bin/python3.11 || true
        rm /usr/local/bin/python3-config || true
-        # Ignore brew update failures - https://github.com/actions/runner-images/issues/6817
-        brew update || true
+        rm /usr/local/bin/python3.11-config || true
+
        brew install hdf5 c-blosc
        python -m pip install --upgrade pip wheel
        export LD_LIBRARY_PATH=${HOME}/dependencies/lib:$LD_LIBRARY_PATH
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@ -15,7 +15,7 @@ repos:
        additional_dependencies:
          - types-cachetools==5.2.1
          - types-filelock==3.2.7
-          - types-requests==2.28.11.5
+          - types-requests==2.28.11.7
          - types-tabulate==0.9.0.0
          - types-python-dateutil==2.8.19.5
        # stages: [push]
--- a/README.md
+++ b/README.md
@ -1,6 +1,7 @@
 # ![freqtrade](https://raw.githubusercontent.com/freqtrade/freqtrade/develop/docs/assets/freqtrade_poweredby.svg)

 [![Freqtrade CI](https://github.com/freqtrade/freqtrade/workflows/Freqtrade%20CI/badge.svg)](https://github.com/freqtrade/freqtrade/actions/)
+[![DOI](https://joss.theoj.org/papers/10.21105/joss.04864/status.svg)](https://doi.org/10.21105/joss.04864)
 [![Coverage Status](https://coveralls.io/repos/github/freqtrade/freqtrade/badge.svg?branch=develop&service=github)](https://coveralls.io/github/freqtrade/freqtrade?branch=develop)
 [![Documentation](https://readthedocs.org/projects/freqtrade/badge/)](https://www.freqtrade.io)
 [![Maintainability](https://api.codeclimate.com/v1/badges/5737e6d668200b7518ff/maintainability)](https://codeclimate.com/github/freqtrade/freqtrade/maintainability)
--- a/docs/backtesting.md
+++ b/docs/backtesting.md
@ -300,7 +300,11 @@ A backtesting result will look like that:
 | Absolute profit             | 0.00762792 BTC      |
 | Total profit %              | 76.2%               |
 | CAGR %                      | 460.87%             |
+| Sortino                     | 1.88                |
+| Sharpe                      | 2.97                |
+| Calmar                      | 6.29                |
 | Profit factor               | 1.11                |
+| Expectancy                  | -0.15               |
 | Avg. stake amount           | 0.001      BTC      |
 | Total trade volume          | 0.429      BTC      |
 |                             |                     |
@ -400,7 +404,11 @@ It contains some useful key metrics about performance of your strategy on backte
 | Absolute profit             | 0.00762792 BTC      |
 | Total profit %              | 76.2%               |
 | CAGR %                      | 460.87%             |
+| Sortino                     | 1.88                |
+| Sharpe                      | 2.97                |
+| Calmar                      | 6.29                |
 | Profit factor               | 1.11                |
+| Expectancy                  | -0.15               |
 | Avg. stake amount           | 0.001      BTC      |
 | Total trade volume          | 0.429      BTC      |
 |                             |                     |
@ -447,6 +455,9 @@ It contains some useful key metrics about performance of your strategy on backte
 - `Absolute profit`: Profit made in stake currency.
 - `Total profit %`: Total profit. Aligned to the `TOTAL` row's `Tot Profit %` from the first table. Calculated as `(End capital − Starting capital) / Starting capital`.
 - `CAGR %`: Compound annual growth rate.
+- `Sortino`: Annualized Sortino ratio.
+- `Sharpe`: Annualized Sharpe ratio.
+- `Calmar`: Annualized Calmar ratio.
 - `Profit factor`: profit / loss.
 - `Avg. stake amount`: Average stake amount, either `stake_amount` or the average when using dynamic stake amount.
 - `Total trade volume`: Volume generated on the exchange to reach the above profit.
--- a/docs/freqai-parameter-table.md
+++ b/docs/freqai-parameter-table.md
@ -15,7 +15,7 @@ Mandatory parameters are marked as **Required** and have to be set in one of the
 | `identifier` | **Required.** <br> A unique ID for the current model. If models are saved to disk, the `identifier` allows for reloading specific pre-trained models/data. <br> **Datatype:** String.
 | `live_retrain_hours` | Frequency of retraining during dry/live runs. <br> **Datatype:** Float > 0. <br> Default: `0` (models retrain as often as possible).
 | `expiration_hours` | Avoid making predictions if a model is more than `expiration_hours` old. <br> **Datatype:** Positive integer. <br> Default: `0` (models never expire).
-| `purge_old_models` | Delete obsolete models. <br> **Datatype:** Boolean. <br> Default: `False` (all historic models remain on disk).
+| `purge_old_models` | Delete all unused models during live runs (not relevant to backtesting). If set to false (not default), dry/live runs will accumulate all unused models to disk. If <br> **Datatype:** Boolean. <br> Default: `True`.
 | `save_backtest_models` | Save models to disk when running backtesting. Backtesting operates most efficiently by saving the prediction data and reusing them directly for subsequent runs (when you wish to tune entry/exit parameters). Saving backtesting models to disk also allows to use the same model files for starting a dry/live instance with the same model `identifier`. <br> **Datatype:** Boolean. <br> Default: `False` (no models are saved).
 | `fit_live_predictions_candles` | Number of historical candles to use for computing target (label) statistics from prediction data, instead of from the training dataset (more information can be found [here](freqai-configuration.md#creating-a-dynamic-target-threshold)). <br> **Datatype:** Positive integer.
 | `follow_mode` | Use a `follower` that will look for models associated with a specific `identifier` and load those for inferencing. A `follower` will **not** train new models. <br> **Datatype:** Boolean. <br> Default: `False`.
--- a/docs/hyperopt.md
+++ b/docs/hyperopt.md
@ -365,7 +365,7 @@ class MyAwesomeStrategy(IStrategy):
    timeframe = '15m'
    minimal_roi = {
        "0":  0.10
-    },
+    }
    # Define the parameter spaces
    buy_ema_short = IntParameter(3, 50, default=5)
    buy_ema_long = IntParameter(15, 200, default=50)
@ -400,7 +400,7 @@ class MyAwesomeStrategy(IStrategy):
        return dataframe

    def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
-          conditions = []
+        conditions = []
        conditions.append(qtpylib.crossed_above(
                dataframe[f'ema_long_{self.buy_ema_long.value}'], dataframe[f'ema_short_{self.buy_ema_short.value}']
            ))
--- a/docs/index.md
+++ b/docs/index.md
@ -1,6 +1,7 @@
 ![freqtrade](assets/freqtrade_poweredby.svg)

 [![Freqtrade CI](https://github.com/freqtrade/freqtrade/workflows/Freqtrade%20CI/badge.svg)](https://github.com/freqtrade/freqtrade/actions/)
+[![DOI](https://joss.theoj.org/papers/10.21105/joss.04864/status.svg)](https://doi.org/10.21105/joss.04864)
 [![Coverage Status](https://coveralls.io/repos/github/freqtrade/freqtrade/badge.svg?branch=develop&service=github)](https://coveralls.io/github/freqtrade/freqtrade?branch=develop)
 [![Maintainability](https://api.codeclimate.com/v1/badges/5737e6d668200b7518ff/maintainability)](https://codeclimate.com/github/freqtrade/freqtrade/maintainability)

--- a/docs/leverage.md
+++ b/docs/leverage.md
@ -92,6 +92,8 @@ One account is used to share collateral between markets (trading pairs). Margin
 "margin_mode": "cross"
 ```

+Please read the [exchange specific notes](exchanges.md) for exchanges that support this mode and how they differ.
+
 ## Set leverage to use

 Different strategies and risk profiles will require different levels of leverage.
--- a/docs/overrides/main.html
+++ b/docs/overrides/main.html
@ -11,9 +11,6 @@
  {% endif %}
  <div class="md-sidebar md-sidebar--primary" data-md-component="sidebar" data-md-type="navigation" {{ hidden }}>
    <div class="md-sidebar__scrollwrap">
-      <div id="widget-wrapper">
-
-      </div>
      <div class="md-sidebar__inner">
        {% include "partials/nav.html" %}
      </div>
@ -44,25 +41,4 @@
    <script src="https://code.jquery.com/jquery-3.4.1.min.js"
      integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script>

-    <!-- Load binance SDK -->
-    <script async defer src="https://public.bnbstatic.com/static/js/broker-sdk/broker-sdk@1.0.0.min.js"></script>
-
-    <script>
-      window.onload = function () {
-        var sidebar = document.getElementById('widget-wrapper')
-        var newDiv = document.createElement("div");
-        newDiv.id = "widget";
-        try {
-          sidebar.prepend(newDiv);
-
-          window.binanceBrokerPortalSdk.initBrokerSDK('#widget', {
-            apiHost: 'https://www.binance.com',
-            brokerId: 'R4BD3S82',
-            slideTime: 4e4,
-          });
-        } catch(err) {
-          console.log(err)
-        }
-      }
-    </script>
 {% endblock %}
--- a/docs/stylesheets/ft.extra.css
+++ b/docs/stylesheets/ft.extra.css
@ -11,18 +11,3 @@
 .rst-versions .rst-other-versions {
    color: white;
 }
-
-
-#widget-wrapper {
-    height: calc(220px * 0.5625 + 18px);
-    width: 220px;
-    margin: 0 auto 16px auto;
-    border-style: solid;
-    border-color: var(--md-code-bg-color);
-    border-width: 1px;
-    border-radius: 5px;
-}
-
-@media screen and (max-width: calc(76.25em - 1px)) {
-    #widget-wrapper { display: none; }
-}
--- a/freqtrade/init.py
+++ b/freqtrade/init.py
@ -1,5 +1,5 @@
 """ Freqtrade bot """
-__version__ = '2022.12.dev'
+__version__ = '2023.1.dev'

 if 'dev' in __version__:
    try:
--- a/freqtrade/data/btanalysis.py
+++ b/freqtrade/data/btanalysis.py
@ -20,8 +20,8 @@ from freqtrade.persistence import LocalTrade, Trade, init_db
 logger = logging.getLogger(__name__)

 # Newest format
-BT_DATA_COLUMNS = ['pair', 'stake_amount', 'amount', 'open_date', 'close_date',
-                   'open_rate', 'close_rate',
+BT_DATA_COLUMNS = ['pair', 'stake_amount', 'max_stake_amount', 'amount',
+                   'open_date', 'close_date', 'open_rate', 'close_rate',
                   'fee_open', 'fee_close', 'trade_duration',
                   'profit_ratio', 'profit_abs', 'exit_reason',
                   'initial_stop_loss_abs', 'initial_stop_loss_ratio', 'stop_loss_abs',
@ -241,6 +241,33 @@ def find_existing_backtest_stats(dirname: Union[Path, str], run_ids: Dict[str, s
    return results


+def _load_backtest_data_df_compatibility(df: pd.DataFrame) -> pd.DataFrame:
+    """
+    Compatibility support for older backtest data.
+    """
+    df['open_date'] = pd.to_datetime(df['open_date'],
+                                     utc=True,
+                                     infer_datetime_format=True
+                                     )
+    df['close_date'] = pd.to_datetime(df['close_date'],
+                                      utc=True,
+                                      infer_datetime_format=True
+                                      )
+    # Compatibility support for pre short Columns
+    if 'is_short' not in df.columns:
+        df['is_short'] = False
+    if 'leverage' not in df.columns:
+        df['leverage'] = 1.0
+    if 'enter_tag' not in df.columns:
+        df['enter_tag'] = df['buy_tag']
+        df = df.drop(['buy_tag'], axis=1)
+    if 'max_stake_amount' not in df.columns:
+        df['max_stake_amount'] = df['stake_amount']
+    if 'orders' not in df.columns:
+        df['orders'] = None
+    return df
+
+
 def load_backtest_data(filename: Union[Path, str], strategy: Optional[str] = None) -> pd.DataFrame:
    """
    Load backtest data file.
@ -269,24 +296,7 @@ def load_backtest_data(filename: Union[Path, str], strategy: Optional[str] = Non
        data = data['strategy'][strategy]['trades']
        df = pd.DataFrame(data)
        if not df.empty:
-            df['open_date'] = pd.to_datetime(df['open_date'],
-                                             utc=True,
-                                             infer_datetime_format=True
-                                             )
-            df['close_date'] = pd.to_datetime(df['close_date'],
-                                              utc=True,
-                                              infer_datetime_format=True
-                                              )
-            # Compatibility support for pre short Columns
-            if 'is_short' not in df.columns:
-                df['is_short'] = 0
-            if 'leverage' not in df.columns:
-                df['leverage'] = 1.0
-            if 'enter_tag' not in df.columns:
-                df['enter_tag'] = df['buy_tag']
-                df = df.drop(['buy_tag'], axis=1)
-            if 'orders' not in df.columns:
-                df['orders'] = None
+            df = _load_backtest_data_df_compatibility(df)

    else:
        # old format - only with lists.
--- a/freqtrade/data/metrics.py
+++ b/freqtrade/data/metrics.py
@ -1,4 +1,6 @@
 import logging
+import math
+from datetime import datetime
 from typing import Dict, Tuple

 import numpy as np
@ -190,3 +192,119 @@ def calculate_cagr(days_passed: int, starting_balance: float, final_balance: flo
    :return: CAGR
    """
    return (final_balance / starting_balance) ** (1 / (days_passed / 365)) - 1
+
+
+def calculate_expectancy(trades: pd.DataFrame) -> float:
+    """
+    Calculate expectancy
+    :param trades: DataFrame containing trades (requires columns close_date and profit_ratio)
+    :return: expectancy
+    """
+    if len(trades) == 0:
+        return 0
+
+    expectancy = 1
+
+    profit_sum = trades.loc[trades['profit_abs'] > 0, 'profit_abs'].sum()
+    loss_sum = abs(trades.loc[trades['profit_abs'] < 0, 'profit_abs'].sum())
+    nb_win_trades = len(trades.loc[trades['profit_abs'] > 0])
+    nb_loss_trades = len(trades.loc[trades['profit_abs'] < 0])
+
+    if (nb_win_trades > 0) and (nb_loss_trades > 0):
+        average_win = profit_sum / nb_win_trades
+        average_loss = loss_sum / nb_loss_trades
+        risk_reward_ratio = average_win / average_loss
+        winrate = nb_win_trades / len(trades)
+        expectancy = ((1 + risk_reward_ratio) * winrate) - 1
+    elif nb_win_trades == 0:
+        expectancy = 0
+
+    return expectancy
+
+
+def calculate_sortino(trades: pd.DataFrame, min_date: datetime, max_date: datetime,
+                      starting_balance: float) -> float:
+    """
+    Calculate sortino
+    :param trades: DataFrame containing trades (requires columns profit_abs)
+    :return: sortino
+    """
+    if (len(trades) == 0) or (min_date is None) or (max_date is None) or (min_date == max_date):
+        return 0
+
+    total_profit = trades['profit_abs'] / starting_balance
+    days_period = max(1, (max_date - min_date).days)
+
+    expected_returns_mean = total_profit.sum() / days_period
+
+    down_stdev = np.std(trades.loc[trades['profit_abs'] < 0, 'profit_abs'] / starting_balance)
+
+    if down_stdev != 0:
+        sortino_ratio = expected_returns_mean / down_stdev * np.sqrt(365)
+    else:
+        # Define high (negative) sortino ratio to be clear that this is NOT optimal.
+        sortino_ratio = -100
+
+    # print(expected_returns_mean, down_stdev, sortino_ratio)
+    return sortino_ratio
+
+
+def calculate_sharpe(trades: pd.DataFrame, min_date: datetime, max_date: datetime,
+                     starting_balance: float) -> float:
+    """
+    Calculate sharpe
+    :param trades: DataFrame containing trades (requires column profit_abs)
+    :return: sharpe
+    """
+    if (len(trades) == 0) or (min_date is None) or (max_date is None) or (min_date == max_date):
+        return 0
+
+    total_profit = trades['profit_abs'] / starting_balance
+    days_period = max(1, (max_date - min_date).days)
+
+    expected_returns_mean = total_profit.sum() / days_period
+    up_stdev = np.std(total_profit)
+
+    if up_stdev != 0:
+        sharp_ratio = expected_returns_mean / up_stdev * np.sqrt(365)
+    else:
+        # Define high (negative) sharpe ratio to be clear that this is NOT optimal.
+        sharp_ratio = -100
+
+    # print(expected_returns_mean, up_stdev, sharp_ratio)
+    return sharp_ratio
+
+
+def calculate_calmar(trades: pd.DataFrame, min_date: datetime, max_date: datetime,
+                     starting_balance: float) -> float:
+    """
+    Calculate calmar
+    :param trades: DataFrame containing trades (requires columns close_date and profit_abs)
+    :return: calmar
+    """
+    if (len(trades) == 0) or (min_date is None) or (max_date is None) or (min_date == max_date):
+        return 0
+
+    total_profit = trades['profit_abs'].sum() / starting_balance
+    days_period = max(1, (max_date - min_date).days)
+
+    # adding slippage of 0.1% per trade
+    # total_profit = total_profit - 0.0005
+    expected_returns_mean = total_profit / days_period * 100
+
+    # calculate max drawdown
+    try:
+        _, _, _, _, _, max_drawdown = calculate_max_drawdown(
+            trades, value_col="profit_abs", starting_balance=starting_balance
+        )
+    except ValueError:
+        max_drawdown = 0
+
+    if max_drawdown != 0:
+        calmar_ratio = expected_returns_mean / max_drawdown * math.sqrt(365)
+    else:
+        # Define high (negative) calmar ratio to be clear that this is NOT optimal.
+        calmar_ratio = -100
+
+    # print(expected_returns_mean, max_drawdown, calmar_ratio)
+    return calmar_ratio
--- a/freqtrade/exchange/binance.py
+++ b/freqtrade/exchange/binance.py
@ -31,7 +31,7 @@ class Binance(Exchange):
        "ccxt_futures_name": "future"
    }
    _ft_has_futures: Dict = {
-        "stoploss_order_types": {"limit": "limit", "market": "market"},
+        "stoploss_order_types": {"limit": "stop", "market": "stop_market"},
        "tickers_have_price": False,
    }

--- a/freqtrade/exchange/exchange.py
+++ b/freqtrade/exchange/exchange.py
@ -2035,8 +2035,8 @@ class Exchange:
            # Fetch OHLCV asynchronously
            s = '(' + arrow.get(since_ms // 1000).isoformat() + ') ' if since_ms is not None else ''
            logger.debug(
-                "Fetching pair %s, interval %s, since %s %s...",
-                pair, timeframe, since_ms, s
+                "Fetching pair %s, %s, interval %s, since %s %s...",
+                pair, candle_type, timeframe, since_ms, s
            )
            params = deepcopy(self._ft_has.get('ohlcv_params', {}))
            candle_limit = self.ohlcv_candle_limit(
@ -2050,11 +2050,12 @@ class Exchange:
                    limit=candle_limit, params=params)
            else:
                # Funding rate
-                data = await self._api_async.fetch_funding_rate_history(
-                    pair, since=since_ms,
-                    limit=candle_limit)
-                # Convert funding rate to candle pattern
-                data = [[x['timestamp'], x['fundingRate'], 0, 0, 0, 0] for x in data]
+                data = await self._fetch_funding_rate_history(
+                    pair=pair,
+                    timeframe=timeframe,
+                    limit=candle_limit,
+                    since_ms=since_ms,
+                )
            # Some exchanges sort OHLCV in ASC order and others in DESC.
            # Ex: Bittrex returns the list of OHLCV in ASC order (oldest first, newest last)
            # while GDAX returns the list of OHLCV in DESC order (newest first, oldest last)
@ -2082,6 +2083,24 @@ class Exchange:
            raise OperationalException(f'Could not fetch historical candle (OHLCV) data '
                                       f'for pair {pair}. Message: {e}') from e

+    async def _fetch_funding_rate_history(
+        self,
+        pair: str,
+        timeframe: str,
+        limit: int,
+        since_ms: Optional[int] = None,
+    ) -> List[List]:
+        """
+        Fetch funding rate history - used to selectively override this by subclasses.
+        """
+        # Funding rate
+        data = await self._api_async.fetch_funding_rate_history(
+            pair, since=since_ms,
+            limit=limit)
+        # Convert funding rate to candle pattern
+        data = [[x['timestamp'], x['fundingRate'], 0, 0, 0, 0] for x in data]
+        return data
+
    # Fetch historic trades

    @retrier_async
@ -2745,11 +2764,16 @@ class Exchange:
        """
        Important: Must be fetching data from cached values as this is used by backtesting!
        PERPETUAL:
-         gateio: https://www.gate.io/help/futures/perpetual/22160/calculation-of-liquidation-price
+         gateio: https://www.gate.io/help/futures/futures/27724/liquidation-price-bankruptcy-price
+         > Liquidation Price = (Entry Price ± Margin / Contract Multiplier / Size) /
+                                [ 1 ± (Maintenance Margin Ratio + Taker Rate)]
+            Wherein, "+" or "-" depends on whether the contract goes long or short:
+            "-" for long, and "+" for short.
+
         okex: https://www.okex.com/support/hc/en-us/articles/
            360053909592-VI-Introduction-to-the-isolated-mode-of-Single-Multi-currency-Portfolio-margin

-        :param exchange_name:
+        :param pair: Pair to calculate liquidation price for
        :param open_rate: Entry price of position
        :param is_short: True if the trade is a short, false otherwise
        :param amount: Absolute value of position size incl. leverage (in base currency)
@ -2789,7 +2813,7 @@ class Exchange:
    def get_maintenance_ratio_and_amt(
        self,
        pair: str,
-        nominal_value: float = 0.0,
+        nominal_value: float,
    ) -> Tuple[float, Optional[float]]:
        """
        Important: Must be fetching data from cached values as this is used by backtesting!
--- a/freqtrade/optimize/optimize_reports.py
+++ b/freqtrade/optimize/optimize_reports.py
@ -9,8 +9,9 @@ from tabulate import tabulate

 from freqtrade.constants import (DATETIME_PRINT_FORMAT, LAST_BT_RESULT_FN, UNLIMITED_STAKE_AMOUNT,
                                 Config)
-from freqtrade.data.metrics import (calculate_cagr, calculate_csum, calculate_market_change,
-                                    calculate_max_drawdown)
+from freqtrade.data.metrics import (calculate_cagr, calculate_calmar, calculate_csum,
+                                    calculate_expectancy, calculate_market_change,
+                                    calculate_max_drawdown, calculate_sharpe, calculate_sortino)
 from freqtrade.misc import decimals_per_coin, file_dump_joblib, file_dump_json, round_coin_value
 from freqtrade.optimize.backtest_caching import get_backtest_metadata_filename

@ -448,6 +449,10 @@ def generate_strategy_stats(pairlist: List[str],
        'profit_total_long_abs': results.loc[~results['is_short'], 'profit_abs'].sum(),
        'profit_total_short_abs': results.loc[results['is_short'], 'profit_abs'].sum(),
        'cagr': calculate_cagr(backtest_days, start_balance, content['final_balance']),
+        'expectancy': calculate_expectancy(results),
+        'sortino': calculate_sortino(results, min_date, max_date, start_balance),
+        'sharpe': calculate_sharpe(results, min_date, max_date, start_balance),
+        'calmar': calculate_calmar(results, min_date, max_date, start_balance),
        'profit_factor': profit_factor,
        'backtest_start': min_date.strftime(DATETIME_PRINT_FORMAT),
        'backtest_start_ts': int(min_date.timestamp() * 1000),
@ -785,8 +790,13 @@ def text_table_add_metrics(strat_results: Dict) -> str:
                                                  strat_results['stake_currency'])),
            ('Total profit %', f"{strat_results['profit_total']:.2%}"),
            ('CAGR %', f"{strat_results['cagr']:.2%}" if 'cagr' in strat_results else 'N/A'),
+            ('Sortino', f"{strat_results['sortino']:.2f}" if 'sortino' in strat_results else 'N/A'),
+            ('Sharpe', f"{strat_results['sharpe']:.2f}" if 'sharpe' in strat_results else 'N/A'),
+            ('Calmar', f"{strat_results['calmar']:.2f}" if 'calmar' in strat_results else 'N/A'),
            ('Profit factor', f'{strat_results["profit_factor"]:.2f}' if 'profit_factor'
                              in strat_results else 'N/A'),
+            ('Expectancy', f"{strat_results['expectancy']:.2f}" if 'expectancy'
+                           in strat_results else 'N/A'),
            ('Trades per day', strat_results['trades_per_day']),
            ('Avg. daily profit %',
             f"{(strat_results['profit_total'] / strat_results['backtest_days']):.2%}"),
--- a/freqtrade/persistence/migrations.py
+++ b/freqtrade/persistence/migrations.py
@ -109,11 +109,10 @@ def migrate_trades_and_orders_table(
    else:
        is_short = get_column_def(cols, 'is_short', '0')

-    # Margin Properties
+    # Futures Properties
    interest_rate = get_column_def(cols, 'interest_rate', '0.0')
-
-    # Futures properties
    funding_fees = get_column_def(cols, 'funding_fees', '0.0')
+    max_stake_amount = get_column_def(cols, 'max_stake_amount', 'stake_amount')

    # If ticker-interval existed use that, else null.
    if has_column(cols, 'ticker_interval'):
@ -162,7 +161,8 @@ def migrate_trades_and_orders_table(
            timeframe, open_trade_value, close_profit_abs,
            trading_mode, leverage, liquidation_price, is_short,
            interest_rate, funding_fees, realized_profit,
-            amount_precision, price_precision, precision_mode, contract_size
+            amount_precision, price_precision, precision_mode, contract_size,
+            max_stake_amount
            )
        select id, lower(exchange), pair, {base_currency} base_currency,
            {stake_currency} stake_currency,
@ -190,7 +190,8 @@ def migrate_trades_and_orders_table(
            {is_short} is_short, {interest_rate} interest_rate,
            {funding_fees} funding_fees, {realized_profit} realized_profit,
            {amount_precision} amount_precision, {price_precision} price_precision,
-            {precision_mode} precision_mode, {contract_size} contract_size
+            {precision_mode} precision_mode, {contract_size} contract_size,
+            {max_stake_amount} max_stake_amount
            from {trade_back_name}
            """))

@ -310,8 +311,8 @@ def check_migrate(engine, decl_base, previous_tables) -> None:
    # if ('orders' not in previous_tables
    # or not has_column(cols_orders, 'funding_fee')):
    migrating = False
-    # if not has_column(cols_trades, 'contract_size'):
-    if not has_column(cols_orders, 'funding_fee'):
+    # if not has_column(cols_orders, 'funding_fee'):
+    if not has_column(cols_trades, 'max_stake_amount'):
        migrating = True
        logger.info(f"Running database migration for trades - "
                    f"backup: {table_back_name}, {order_table_bak_name}")
--- a/freqtrade/persistence/trade_model.py
+++ b/freqtrade/persistence/trade_model.py
@ -293,6 +293,7 @@ class LocalTrade():
    close_profit: Optional[float] = None
    close_profit_abs: Optional[float] = None
    stake_amount: float = 0.0
+    max_stake_amount: float = 0.0
    amount: float = 0.0
    amount_requested: Optional[float] = None
    open_date: datetime
@ -469,8 +470,8 @@ class LocalTrade():
            'amount': round(self.amount, 8),
            'amount_requested': round(self.amount_requested, 8) if self.amount_requested else None,
            'stake_amount': round(self.stake_amount, 8),
+            'max_stake_amount': round(self.max_stake_amount, 8) if self.max_stake_amount else None,
            'strategy': self.strategy,
-            'buy_tag': self.enter_tag,
            'enter_tag': self.enter_tag,
            'timeframe': self.timeframe,

@ -507,7 +508,6 @@ class LocalTrade():
            'profit_pct': round(self.close_profit * 100, 2) if self.close_profit else None,
            'profit_abs': self.close_profit_abs,

-            'sell_reason': self.exit_reason,  # Deprecated
            'exit_reason': self.exit_reason,
            'exit_order_status': self.exit_order_status,
            'stop_loss_abs': self.stop_loss,
@ -876,6 +876,7 @@ class LocalTrade():
        ZERO = FtPrecise(0.0)
        current_amount = FtPrecise(0.0)
        current_stake = FtPrecise(0.0)
+        max_stake_amount = FtPrecise(0.0)
        total_stake = 0.0  # Total stake after all buy orders (does not subtract!)
        avg_price = FtPrecise(0.0)
        close_profit = 0.0
@ -917,7 +918,9 @@ class LocalTrade():
                    exit_rate, amount=exit_amount, open_rate=avg_price)
            else:
                total_stake = total_stake + self._calc_open_trade_value(tmp_amount, price)
+                max_stake_amount += (tmp_amount * price)
        self.funding_fees = funding_fees
+        self.max_stake_amount = float(max_stake_amount)

        if close_profit:
            self.close_profit = close_profit
@ -1169,6 +1172,7 @@ class Trade(_DECL_BASE, LocalTrade):
    close_profit = Column(Float)
    close_profit_abs = Column(Float)
    stake_amount = Column(Float, nullable=False)
+    max_stake_amount = Column(Float)
    amount = Column(Float)
    amount_requested = Column(Float)
    open_date = Column(DateTime, nullable=False, default=datetime.utcnow)
--- a/freqtrade/plugins/pairlist/VolumePairList.py
+++ b/freqtrade/plugins/pairlist/VolumePairList.py
@ -135,7 +135,7 @@ class VolumePairList(IPairList):
                filtered_tickers = [
                    v for k, v in tickers.items()
                    if (self._exchange.get_pair_quote_currency(k) == self._stake_currency
-                        and (self._use_range or v[self._sort_key] is not None)
+                        and (self._use_range or v.get(self._sort_key) is not None)
                        and v['symbol'] in _pairlist)]
                pairlist = [s['symbol'] for s in filtered_tickers]
            else:
--- a/freqtrade/rpc/api_server/api_schemas.py
+++ b/freqtrade/rpc/api_server/api_schemas.py
@ -217,8 +217,8 @@ class TradeSchema(BaseModel):
    amount: float
    amount_requested: float
    stake_amount: float
+    max_stake_amount: Optional[float]
    strategy: str
-    buy_tag: Optional[str]  # Deprecated
    enter_tag: Optional[str]
    timeframe: int
    fee_open: Optional[float]
@ -243,7 +243,6 @@ class TradeSchema(BaseModel):
    profit_pct: Optional[float]
    profit_abs: Optional[float]
    profit_fiat: Optional[float]
-    sell_reason: Optional[str]  # Deprecated
    exit_reason: Optional[str]
    exit_order_status: Optional[str]
    stop_loss_abs: Optional[float]
--- a/freqtrade/templates/FreqaiExampleStrategy.py
+++ b/freqtrade/templates/FreqaiExampleStrategy.py
@ -27,7 +27,7 @@ class FreqaiExampleStrategy(IStrategy):
    plot_config = {
        "main_plot": {},
        "subplots": {
-            "prediction": {"prediction": {"color": "blue"}},
+            "&-s_close": {"prediction": {"color": "blue"}},
            "do_predict": {
                "do_predict": {"color": "brown"},
            },
@ -184,7 +184,8 @@ class FreqaiExampleStrategy(IStrategy):
        # If user wishes to use multiple targets, they can add more by
        # appending more columns with '&'. User should keep in mind that multi targets
        # requires a multioutput prediction model such as
-        # templates/CatboostPredictionMultiModel.py,
+        # freqai/prediction_models/CatboostRegressorMultiTarget.py,
+        # freqtrade trade --freqaimodel CatboostRegressorMultiTarget

        # df["&-s_range"] = (
        #     df["close"]
--- a/requirements-dev.txt
+++ b/requirements-dev.txt
@ -10,24 +10,24 @@ coveralls==3.3.1
 flake8==6.0.0
 flake8-tidy-imports==4.8.0
 mypy==0.991
-pre-commit==2.20.0
+pre-commit==2.21.0
 pytest==7.2.0
 pytest-asyncio==0.20.3
 pytest-cov==4.0.0
 pytest-mock==3.10.0
 pytest-random-order==1.1.0
-isort==5.11.3
+isort==5.11.4
 # For datetime mocking
-time-machine==2.8.2
+time-machine==2.9.0
 # fastapi testing
 httpx==0.23.1

 # Convert jupyter notebooks to markdown documents
-nbconvert==7.2.6
+nbconvert==7.2.7

 # mypy types
 types-cachetools==5.2.1
 types-filelock==3.2.7
-types-requests==2.28.11.5
+types-requests==2.28.11.7
 types-tabulate==0.9.0.0
 types-python-dateutil==2.8.19.5
--- a/requirements-hyperopt.txt
+++ b/requirements-hyperopt.txt
@ -5,5 +5,5 @@
 scipy==1.9.3
 scikit-learn==1.1.3
 scikit-optimize==0.9.0
-filelock==3.8.2
+filelock==3.9.0
 progressbar2==4.2.0
--- a/requirements.txt
+++ b/requirements.txt
@ -1,8 +1,8 @@
-numpy==1.23.5
+numpy==1.24.1
 pandas==1.5.2
 pandas-ta==0.3.14b

-ccxt==2.4.27
+ccxt==2.4.60
 # Pin cryptography for now due to rust build errors with piwheels
 cryptography==38.0.1; platform_machine == 'armv7l'
 cryptography==38.0.4; platform_machine != 'armv7l'
@ -19,7 +19,7 @@ technical==1.3.0
 tabulate==0.9.0
 pycoingecko==3.1.0
 jinja2==3.1.2
-tables==3.7.0
+tables==3.8.0
 blosc==1.11.1
 joblib==1.2.0
 pyarrow==10.0.1; platform_machine != 'armv7l'
@ -37,7 +37,7 @@ sdnotify==0.3.2

 # API Server
 fastapi==0.88.0
-pydantic==1.10.2
+pydantic==1.10.4
 uvicorn==0.20.0
 pyjwt==2.6.0
 aiofiles==22.1.0
--- a/setup.py
+++ b/setup.py
@ -25,6 +25,11 @@ freqai_rl = [
    'sb3-contrib'
 ]

+hdf5 = [
+    'tables',
+    'blosc',
+]
+
 develop = [
    'coveralls',
    'flake8',
@ -44,7 +49,7 @@ jupyter = [
    'nbconvert',
 ]

-all_extra = plot + develop + jupyter + hyperopt + freqai + freqai_rl
+all_extra = plot + develop + jupyter + hyperopt + hdf5 + freqai + freqai_rl

 setup(
    tests_require=[
@ -78,8 +83,6 @@ setup(
        'prompt-toolkit',
        'numpy',
        'pandas',
-        'tables',
-        'blosc',
        'joblib>=1.2.0',
        'pyarrow; platform_machine != "armv7l"',
        'fastapi',
@ -97,6 +100,7 @@ setup(
        'plot': plot,
        'jupyter': jupyter,
        'hyperopt': hyperopt,
+        'hdf5': hdf5,
        'freqai': freqai,
        'freqai_rl': freqai_rl,
        'all': all_extra,
--- a/tests/commands/test_commands.py
+++ b/tests/commands/test_commands.py
@ -1529,7 +1529,7 @@ def test_backtesting_show(mocker, testdatadir, capsys):
    args = [
        "backtesting-show",
        "--export-filename",
-        f"{testdatadir / 'backtest_results/backtest-result_new.json'}",
+        f"{testdatadir / 'backtest_results/backtest-result.json'}",
        "--show-pair-list"
    ]
    pargs = get_args(args)
--- a/tests/data/test_btanalysis.py
+++ b/tests/data/test_btanalysis.py
@ -12,9 +12,11 @@ from freqtrade.data.btanalysis import (BT_DATA_COLUMNS, analyze_trade_parallelis
                                       get_latest_hyperopt_file, load_backtest_data,
                                       load_backtest_metadata, load_trades, load_trades_from_db)
 from freqtrade.data.history import load_data, load_pair_history
-from freqtrade.data.metrics import (calculate_cagr, calculate_csum, calculate_market_change,
-                                    calculate_max_drawdown, calculate_underwater,
-                                    combine_dataframes_with_mean, create_cum_profit)
+from freqtrade.data.metrics import (calculate_cagr, calculate_calmar, calculate_csum,
+                                    calculate_expectancy, calculate_market_change,
+                                    calculate_max_drawdown, calculate_sharpe, calculate_sortino,
+                                    calculate_underwater, combine_dataframes_with_mean,
+                                    create_cum_profit)
 from freqtrade.exceptions import OperationalException
 from tests.conftest import CURRENT_TEST_STRATEGY, create_mock_trades
 from tests.conftest_trades import MOCK_TRADE_COUNT
@ -30,10 +32,10 @@ def test_get_latest_backtest_filename(testdatadir, mocker):

    testdir_bt = testdatadir / "backtest_results"
    res = get_latest_backtest_filename(testdir_bt)
-    assert res == 'backtest-result_new.json'
+    assert res == 'backtest-result.json'

    res = get_latest_backtest_filename(str(testdir_bt))
-    assert res == 'backtest-result_new.json'
+    assert res == 'backtest-result.json'

    mocker.patch("freqtrade.data.btanalysis.json_load", return_value={})

@ -81,7 +83,7 @@ def test_load_backtest_data_old_format(testdatadir, mocker):

 def test_load_backtest_data_new_format(testdatadir):

-    filename = testdatadir / "backtest_results/backtest-result_new.json"
+    filename = testdatadir / "backtest_results/backtest-result.json"
    bt_data = load_backtest_data(filename)
    assert isinstance(bt_data, DataFrame)
    assert set(bt_data.columns) == set(BT_DATA_COLUMNS)
@ -182,7 +184,7 @@ def test_extract_trades_of_period(testdatadir):


 def test_analyze_trade_parallelism(testdatadir):
-    filename = testdatadir / "backtest_results/backtest-result_new.json"
+    filename = testdatadir / "backtest_results/backtest-result.json"
    bt_data = load_backtest_data(filename)

    res = analyze_trade_parallelism(bt_data, "5m")
@ -256,7 +258,7 @@ def test_combine_dataframes_with_mean_no_data(testdatadir):


 def test_create_cum_profit(testdatadir):
-    filename = testdatadir / "backtest_results/backtest-result_new.json"
+    filename = testdatadir / "backtest_results/backtest-result.json"
    bt_data = load_backtest_data(filename)
    timerange = TimeRange.parse_timerange("20180110-20180112")

@ -268,11 +270,11 @@ def test_create_cum_profit(testdatadir):
                                    "cum_profits", timeframe="5m")
    assert "cum_profits" in cum_profits.columns
    assert cum_profits.iloc[0]['cum_profits'] == 0
-    assert pytest.approx(cum_profits.iloc[-1]['cum_profits']) == 8.723007518796964e-06
+    assert pytest.approx(cum_profits.iloc[-1]['cum_profits']) == 9.0225563e-05


 def test_create_cum_profit1(testdatadir):
-    filename = testdatadir / "backtest_results/backtest-result_new.json"
+    filename = testdatadir / "backtest_results/backtest-result.json"
    bt_data = load_backtest_data(filename)
    # Move close-time to "off" the candle, to make sure the logic still works
    bt_data['close_date'] = bt_data.loc[:, 'close_date'] + DateOffset(seconds=20)
@ -286,7 +288,7 @@ def test_create_cum_profit1(testdatadir):
                                    "cum_profits", timeframe="5m")
    assert "cum_profits" in cum_profits.columns
    assert cum_profits.iloc[0]['cum_profits'] == 0
-    assert pytest.approx(cum_profits.iloc[-1]['cum_profits']) == 8.723007518796964e-06
+    assert pytest.approx(cum_profits.iloc[-1]['cum_profits']) == 9.0225563e-05

    with pytest.raises(ValueError, match='Trade dataframe empty.'):
        create_cum_profit(df.set_index('date'), bt_data[bt_data["pair"] == 'NOTAPAIR'],
@ -294,18 +296,18 @@ def test_create_cum_profit1(testdatadir):


 def test_calculate_max_drawdown(testdatadir):
-    filename = testdatadir / "backtest_results/backtest-result_new.json"
+    filename = testdatadir / "backtest_results/backtest-result.json"
    bt_data = load_backtest_data(filename)
    _, hdate, lowdate, hval, lval, drawdown = calculate_max_drawdown(
        bt_data, value_col="profit_abs")
    assert isinstance(drawdown, float)
-    assert pytest.approx(drawdown) == 0.12071099
+    assert pytest.approx(drawdown) == 0.29753914
    assert isinstance(hdate, Timestamp)
    assert isinstance(lowdate, Timestamp)
    assert isinstance(hval, float)
    assert isinstance(lval, float)
-    assert hdate == Timestamp('2018-01-25 01:30:00', tz='UTC')
-    assert lowdate == Timestamp('2018-01-25 03:50:00', tz='UTC')
+    assert hdate == Timestamp('2018-01-16 19:30:00', tz='UTC')
+    assert lowdate == Timestamp('2018-01-16 22:25:00', tz='UTC')

    underwater = calculate_underwater(bt_data)
    assert isinstance(underwater, DataFrame)
@ -318,14 +320,15 @@ def test_calculate_max_drawdown(testdatadir):


 def test_calculate_csum(testdatadir):
-    filename = testdatadir / "backtest_results/backtest-result_new.json"
+    filename = testdatadir / "backtest_results/backtest-result.json"
    bt_data = load_backtest_data(filename)
    csum_min, csum_max = calculate_csum(bt_data)

    assert isinstance(csum_min, float)
    assert isinstance(csum_max, float)
-    assert csum_min < 0.01
-    assert csum_max > 0.02
+    assert csum_min < csum_max
+    assert csum_min < 0.0001
+    assert csum_max > 0.0002
    csum_min1, csum_max1 = calculate_csum(bt_data, 5)

    assert csum_min1 == csum_min + 5
@ -335,6 +338,69 @@ def test_calculate_csum(testdatadir):
        csum_min, csum_max = calculate_csum(DataFrame())


+def test_calculate_expectancy(testdatadir):
+    filename = testdatadir / "backtest_results/backtest-result.json"
+    bt_data = load_backtest_data(filename)
+
+    expectancy = calculate_expectancy(DataFrame())
+    assert expectancy == 0.0
+
+    expectancy = calculate_expectancy(bt_data)
+    assert isinstance(expectancy, float)
+    assert pytest.approx(expectancy) == 0.07151374226574791
+
+
+def test_calculate_sortino(testdatadir):
+    filename = testdatadir / "backtest_results/backtest-result.json"
+    bt_data = load_backtest_data(filename)
+
+    sortino = calculate_sortino(DataFrame(), None, None, 0)
+    assert sortino == 0.0
+
+    sortino = calculate_sortino(
+        bt_data,
+        bt_data['open_date'].min(),
+        bt_data['close_date'].max(),
+        0.01,
+        )
+    assert isinstance(sortino, float)
+    assert pytest.approx(sortino) == 35.17722
+
+
+def test_calculate_sharpe(testdatadir):
+    filename = testdatadir / "backtest_results/backtest-result.json"
+    bt_data = load_backtest_data(filename)
+
+    sharpe = calculate_sharpe(DataFrame(), None, None, 0)
+    assert sharpe == 0.0
+
+    sharpe = calculate_sharpe(
+        bt_data,
+        bt_data['open_date'].min(),
+        bt_data['close_date'].max(),
+        0.01,
+        )
+    assert isinstance(sharpe, float)
+    assert pytest.approx(sharpe) == 44.5078669
+
+
+def test_calculate_calmar(testdatadir):
+    filename = testdatadir / "backtest_results/backtest-result.json"
+    bt_data = load_backtest_data(filename)
+
+    calmar = calculate_calmar(DataFrame(), None, None, 0)
+    assert calmar == 0.0
+
+    calmar = calculate_calmar(
+        bt_data,
+        bt_data['open_date'].min(),
+        bt_data['close_date'].max(),
+        0.01,
+        )
+    assert isinstance(calmar, float)
+    assert pytest.approx(calmar) == 559.040508
+
+
@pytest.mark.parametrize('start,end,days, expected', [
    (64900, 176000, 3 * 365, 0.3945),
    (64900, 176000, 365, 1.7119),
--- a/tests/exchange/test_binance.py
+++ b/tests/exchange/test_binance.py
@ -23,7 +23,7 @@ from tests.exchange.test_exchange import ccxt_exceptionhandlers
 def test_stoploss_order_binance(default_conf, mocker, limitratio, expected, side, trademode):
    api_mock = MagicMock()
    order_id = 'test_prod_buy_{}'.format(randint(0, 10 ** 6))
-    order_type = 'stop_loss_limit' if trademode == TradingMode.SPOT else 'limit'
+    order_type = 'stop_loss_limit' if trademode == TradingMode.SPOT else 'stop'

    api_mock.create_order = MagicMock(return_value={
        'id': order_id,
--- a/tests/exchange/test_ccxt_compat.py
+++ b/tests/exchange/test_ccxt_compat.py
@ -8,16 +8,19 @@ suitable to run with freqtrade.
 from copy import deepcopy
 from datetime import datetime, timedelta, timezone
 from pathlib import Path
+from typing import Tuple

 import pytest

 from freqtrade.enums import CandleType
 from freqtrade.exchange import timeframe_to_minutes, timeframe_to_prev_date
-from freqtrade.exchange.exchange import timeframe_to_msecs
+from freqtrade.exchange.exchange import Exchange, timeframe_to_msecs
 from freqtrade.resolvers.exchange_resolver import ExchangeResolver
 from tests.conftest import get_default_conf_usdt


+EXCHANGE_FIXTURE_TYPE = Tuple[Exchange, str]
+
 # Exchanges that should be tested
 EXCHANGES = {
    'bittrex': {
@ -141,19 +144,19 @@ def exchange_futures(request, exchange_conf, class_mocker):
@pytest.mark.longrun
 class TestCCXTExchange():

-    def test_load_markets(self, exchange):
-        exchange, exchangename = exchange
+    def test_load_markets(self, exchange: EXCHANGE_FIXTURE_TYPE):
+        exch, exchangename = exchange
        pair = EXCHANGES[exchangename]['pair']
-        markets = exchange.markets
+        markets = exch.markets
        assert pair in markets
        assert isinstance(markets[pair], dict)
-        assert exchange.market_is_spot(markets[pair])
+        assert exch.market_is_spot(markets[pair])

-    def test_has_validations(self, exchange):
+    def test_has_validations(self, exchange: EXCHANGE_FIXTURE_TYPE):

-        exchange, exchangename = exchange
+        exch, exchangename = exchange

-        exchange.validate_ordertypes({
+        exch.validate_ordertypes({
            'entry': 'limit',
            'exit': 'limit',
            'stoploss': 'limit',
@ -162,13 +165,13 @@ class TestCCXTExchange():
        if exchangename == 'gateio':
            # gateio doesn't have market orders on spot
            return
-        exchange.validate_ordertypes({
+        exch.validate_ordertypes({
            'entry': 'market',
            'exit': 'market',
            'stoploss': 'market',
            })

-    def test_load_markets_futures(self, exchange_futures):
+    def test_load_markets_futures(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
        exchange, exchangename = exchange_futures
        if not exchange:
            # exchange_futures only returns values for supported exchanges
@ -181,11 +184,11 @@ class TestCCXTExchange():

        assert exchange.market_is_future(markets[pair])

-    def test_ccxt_fetch_tickers(self, exchange):
-        exchange, exchangename = exchange
+    def test_ccxt_fetch_tickers(self, exchange: EXCHANGE_FIXTURE_TYPE):
+        exch, exchangename = exchange
        pair = EXCHANGES[exchangename]['pair']

-        tickers = exchange.get_tickers()
+        tickers = exch.get_tickers()
        assert pair in tickers
        assert 'ask' in tickers[pair]
        assert tickers[pair]['ask'] is not None
@ -195,11 +198,11 @@ class TestCCXTExchange():
        if EXCHANGES[exchangename].get('hasQuoteVolume'):
            assert tickers[pair]['quoteVolume'] is not None

-    def test_ccxt_fetch_ticker(self, exchange):
-        exchange, exchangename = exchange
+    def test_ccxt_fetch_ticker(self, exchange: EXCHANGE_FIXTURE_TYPE):
+        exch, exchangename = exchange
        pair = EXCHANGES[exchangename]['pair']

-        ticker = exchange.fetch_ticker(pair)
+        ticker = exch.fetch_ticker(pair)
        assert 'ask' in ticker
        assert ticker['ask'] is not None
        assert 'bid' in ticker
@ -208,21 +211,21 @@ class TestCCXTExchange():
        if EXCHANGES[exchangename].get('hasQuoteVolume'):
            assert ticker['quoteVolume'] is not None

-    def test_ccxt_fetch_l2_orderbook(self, exchange):
-        exchange, exchangename = exchange
+    def test_ccxt_fetch_l2_orderbook(self, exchange: EXCHANGE_FIXTURE_TYPE):
+        exch, exchangename = exchange
        pair = EXCHANGES[exchangename]['pair']
-        l2 = exchange.fetch_l2_order_book(pair)
+        l2 = exch.fetch_l2_order_book(pair)
        assert 'asks' in l2
        assert 'bids' in l2
        assert len(l2['asks']) >= 1
        assert len(l2['bids']) >= 1
-        l2_limit_range = exchange._ft_has['l2_limit_range']
-        l2_limit_range_required = exchange._ft_has['l2_limit_range_required']
+        l2_limit_range = exch._ft_has['l2_limit_range']
+        l2_limit_range_required = exch._ft_has['l2_limit_range_required']
        if exchangename == 'gateio':
            # TODO: Gateio is unstable here at the moment, ignoring the limit partially.
            return
        for val in [1, 2, 5, 25, 100]:
-            l2 = exchange.fetch_l2_order_book(pair, val)
+            l2 = exch.fetch_l2_order_book(pair, val)
            if not l2_limit_range or val in l2_limit_range:
                if val > 50:
                    # Orderbooks are not always this deep.
@ -232,7 +235,7 @@ class TestCCXTExchange():
                    assert len(l2['asks']) == val
                    assert len(l2['bids']) == val
            else:
-                next_limit = exchange.get_next_limit_in_list(
+                next_limit = exch.get_next_limit_in_list(
                    val, l2_limit_range, l2_limit_range_required)
                if next_limit is None:
                    assert len(l2['asks']) > 100
@ -245,23 +248,23 @@ class TestCCXTExchange():
                    assert len(l2['asks']) == next_limit
                    assert len(l2['asks']) == next_limit

-    def test_ccxt_fetch_ohlcv(self, exchange):
-        exchange, exchangename = exchange
+    def test_ccxt_fetch_ohlcv(self, exchange: EXCHANGE_FIXTURE_TYPE):
+        exch, exchangename = exchange
        pair = EXCHANGES[exchangename]['pair']
        timeframe = EXCHANGES[exchangename]['timeframe']

        pair_tf = (pair, timeframe, CandleType.SPOT)

-        ohlcv = exchange.refresh_latest_ohlcv([pair_tf])
+        ohlcv = exch.refresh_latest_ohlcv([pair_tf])
        assert isinstance(ohlcv, dict)
-        assert len(ohlcv[pair_tf]) == len(exchange.klines(pair_tf))
-        # assert len(exchange.klines(pair_tf)) > 200
+        assert len(ohlcv[pair_tf]) == len(exch.klines(pair_tf))
+        # assert len(exch.klines(pair_tf)) > 200
        # Assume 90% uptime ...
-        assert len(exchange.klines(pair_tf)) > exchange.ohlcv_candle_limit(
+        assert len(exch.klines(pair_tf)) > exch.ohlcv_candle_limit(
            timeframe, CandleType.SPOT) * 0.90
        # Check if last-timeframe is within the last 2 intervals
        now = datetime.now(timezone.utc) - timedelta(minutes=(timeframe_to_minutes(timeframe) * 2))
-        assert exchange.klines(pair_tf).iloc[-1]['date'] >= timeframe_to_prev_date(timeframe, now)
+        assert exch.klines(pair_tf).iloc[-1]['date'] >= timeframe_to_prev_date(timeframe, now)

    def ccxt__async_get_candle_history(self, exchange, exchangename, pair, timeframe, candle_type):

@ -289,17 +292,17 @@ class TestCCXTExchange():
            assert len(candles) >= min(candle_count, candle_count1)
            assert candles[0][0] == since_ms or (since_ms + timeframe_ms)

-    def test_ccxt__async_get_candle_history(self, exchange):
-        exchange, exchangename = exchange
+    def test_ccxt__async_get_candle_history(self, exchange: EXCHANGE_FIXTURE_TYPE):
+        exc, exchangename = exchange
        # For some weired reason, this test returns random lengths for bittrex.
-        if not exchange._ft_has['ohlcv_has_history'] or exchangename in ('bittrex'):
+        if not exc._ft_has['ohlcv_has_history'] or exchangename in ('bittrex'):
            return
        pair = EXCHANGES[exchangename]['pair']
        timeframe = EXCHANGES[exchangename]['timeframe']
        self.ccxt__async_get_candle_history(
-            exchange, exchangename, pair, timeframe, CandleType.SPOT)
+            exc, exchangename, pair, timeframe, CandleType.SPOT)

-    def test_ccxt__async_get_candle_history_futures(self, exchange_futures):
+    def test_ccxt__async_get_candle_history_futures(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
        exchange, exchangename = exchange_futures
        if not exchange:
            # exchange_futures only returns values for supported exchanges
@ -309,7 +312,7 @@ class TestCCXTExchange():
        self.ccxt__async_get_candle_history(
            exchange, exchangename, pair, timeframe, CandleType.FUTURES)

-    def test_ccxt_fetch_funding_rate_history(self, exchange_futures):
+    def test_ccxt_fetch_funding_rate_history(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
        exchange, exchangename = exchange_futures
        if not exchange:
            # exchange_futures only returns values for supported exchanges
@ -347,7 +350,7 @@ class TestCCXTExchange():
            (rate['open'].min() != rate['open'].max())
        )

-    def test_ccxt_fetch_mark_price_history(self, exchange_futures):
+    def test_ccxt_fetch_mark_price_history(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
        exchange, exchangename = exchange_futures
        if not exchange:
            # exchange_futures only returns values for supported exchanges
@ -371,7 +374,7 @@ class TestCCXTExchange():
        assert mark_candles[mark_candles['date'] == prev_hour].iloc[0]['open'] != 0.0
        assert mark_candles[mark_candles['date'] == this_hour].iloc[0]['open'] != 0.0

-    def test_ccxt__calculate_funding_fees(self, exchange_futures):
+    def test_ccxt__calculate_funding_fees(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
        exchange, exchangename = exchange_futures
        if not exchange:
            # exchange_futures only returns values for supported exchanges
@ -387,16 +390,16 @@ class TestCCXTExchange():

    # TODO: tests fetch_trades (?)

-    def test_ccxt_get_fee(self, exchange):
-        exchange, exchangename = exchange
+    def test_ccxt_get_fee(self, exchange: EXCHANGE_FIXTURE_TYPE):
+        exch, exchangename = exchange
        pair = EXCHANGES[exchangename]['pair']
        threshold = 0.01
-        assert 0 < exchange.get_fee(pair, 'limit', 'buy') < threshold
-        assert 0 < exchange.get_fee(pair, 'limit', 'sell') < threshold
-        assert 0 < exchange.get_fee(pair, 'market', 'buy') < threshold
-        assert 0 < exchange.get_fee(pair, 'market', 'sell') < threshold
+        assert 0 < exch.get_fee(pair, 'limit', 'buy') < threshold
+        assert 0 < exch.get_fee(pair, 'limit', 'sell') < threshold
+        assert 0 < exch.get_fee(pair, 'market', 'buy') < threshold
+        assert 0 < exch.get_fee(pair, 'market', 'sell') < threshold

-    def test_ccxt_get_max_leverage_spot(self, exchange):
+    def test_ccxt_get_max_leverage_spot(self, exchange: EXCHANGE_FIXTURE_TYPE):
        spot, spot_name = exchange
        if spot:
            leverage_in_market_spot = EXCHANGES[spot_name].get('leverage_in_spot_market')
@ -406,7 +409,7 @@ class TestCCXTExchange():
                assert (isinstance(spot_leverage, float) or isinstance(spot_leverage, int))
                assert spot_leverage >= 1.0

-    def test_ccxt_get_max_leverage_futures(self, exchange_futures):
+    def test_ccxt_get_max_leverage_futures(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
        futures, futures_name = exchange_futures
        if futures:
            leverage_tiers_public = EXCHANGES[futures_name].get('leverage_tiers_public')
@ -419,7 +422,7 @@ class TestCCXTExchange():
                assert (isinstance(futures_leverage, float) or isinstance(futures_leverage, int))
                assert futures_leverage >= 1.0

-    def test_ccxt_get_contract_size(self, exchange_futures):
+    def test_ccxt_get_contract_size(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
        futures, futures_name = exchange_futures
        if futures:
            futures_pair = EXCHANGES[futures_name].get(
@ -430,7 +433,7 @@ class TestCCXTExchange():
            assert (isinstance(contract_size, float) or isinstance(contract_size, int))
            assert contract_size >= 0.0

-    def test_ccxt_load_leverage_tiers(self, exchange_futures):
+    def test_ccxt_load_leverage_tiers(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
        futures, futures_name = exchange_futures
        if futures and EXCHANGES[futures_name].get('leverage_tiers_public'):
            leverage_tiers = futures.load_leverage_tiers()
@ -463,7 +466,7 @@ class TestCCXTExchange():
                oldminNotional = tier['minNotional']
                oldmaxNotional = tier['maxNotional']

-    def test_ccxt_dry_run_liquidation_price(self, exchange_futures):
+    def test_ccxt_dry_run_liquidation_price(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
        futures, futures_name = exchange_futures
        if futures and EXCHANGES[futures_name].get('leverage_tiers_public'):

@ -494,7 +497,7 @@ class TestCCXTExchange():
            assert (isinstance(liquidation_price, float))
            assert liquidation_price >= 0.0

-    def test_ccxt_get_max_pair_stake_amount(self, exchange_futures):
+    def test_ccxt_get_max_pair_stake_amount(self, exchange_futures: EXCHANGE_FIXTURE_TYPE):
        futures, futures_name = exchange_futures
        if futures:
            futures_pair = EXCHANGES[futures_name].get(
--- a/tests/leverage/test_interest.py
+++ b/tests/leverage/test_interest.py
@ -1,5 +1,6 @@
 import pytest

+from freqtrade.exceptions import OperationalException
 from freqtrade.leverage import interest
 from freqtrade.util import FtPrecise

@ -29,3 +30,13 @@ def test_interest(exchange, interest_rate, hours, expected):
        rate=FtPrecise(interest_rate),
        hours=hours
    ))) == expected
+
+
+def test_interest_exception():
+    with pytest.raises(OperationalException, match=r"Leverage not available on .* with freqtrade"):
+        interest(
+            exchange_name='bitmex',
+            borrowed=FtPrecise(60.0),
+            rate=FtPrecise(0.0005),
+            hours=ten_mins
+        )
--- a/tests/optimize/test_backtesting.py
+++ b/tests/optimize/test_backtesting.py
@ -710,6 +710,7 @@ def test_backtest_one(default_conf, fee, mocker, testdatadir) -> None:
    expected = pd.DataFrame(
        {'pair': [pair, pair],
         'stake_amount': [0.001, 0.001],
+         'max_stake_amount': [0.001, 0.001],
         'amount': [0.00957442, 0.0097064],
         'open_date': pd.to_datetime([Arrow(2018, 1, 29, 18, 40, 0).datetime,
                                      Arrow(2018, 1, 30, 3, 30, 0).datetime], utc=True
--- a/tests/optimize/test_backtesting_adjust_position.py
+++ b/tests/optimize/test_backtesting_adjust_position.py
@ -50,6 +50,7 @@ def test_backtest_position_adjustment(default_conf, fee, mocker, testdatadir) ->
    expected = pd.DataFrame(
        {'pair': [pair, pair],
         'stake_amount': [500.0, 100.0],
+         'max_stake_amount': [500.0, 100],
         'amount': [4806.87657523, 970.63960782],
         'open_date': pd.to_datetime([Arrow(2018, 1, 29, 18, 40, 0).datetime,
                                      Arrow(2018, 1, 30, 3, 30, 0).datetime], utc=True
--- a/tests/optimize/test_optimize_reports.py
+++ b/tests/optimize/test_optimize_reports.py
@ -308,7 +308,7 @@ def test_generate_pair_metrics():

 def test_generate_daily_stats(testdatadir):

-    filename = testdatadir / "backtest_results/backtest-result_new.json"
+    filename = testdatadir / "backtest_results/backtest-result.json"
    bt_data = load_backtest_data(filename)
    res = generate_daily_stats(bt_data)
    assert isinstance(res, dict)
@ -328,7 +328,7 @@ def test_generate_daily_stats(testdatadir):


 def test_generate_trading_stats(testdatadir):
-    filename = testdatadir / "backtest_results/backtest-result_new.json"
+    filename = testdatadir / "backtest_results/backtest-result.json"
    bt_data = load_backtest_data(filename)
    res = generate_trading_stats(bt_data)
    assert isinstance(res, dict)
@ -444,7 +444,7 @@ def test_generate_edge_table():


 def test_generate_periodic_breakdown_stats(testdatadir):
-    filename = testdatadir / "backtest_results/backtest-result_new.json"
+    filename = testdatadir / "backtest_results/backtest-result.json"
    bt_data = load_backtest_data(filename).to_dict(orient='records')

    res = generate_periodic_breakdown_stats(bt_data, 'day')
@ -472,7 +472,7 @@ def test__get_resample_from_period():


 def test_show_sorted_pairlist(testdatadir, default_conf, capsys):
-    filename = testdatadir / "backtest_results/backtest-result_new.json"
+    filename = testdatadir / "backtest_results/backtest-result.json"
    bt_data = load_backtest_stats(filename)
    default_conf['backtest_show_pair_list'] = True

--- a/tests/persistence/test_migrations.py
+++ b/tests/persistence/test_migrations.py
@ -0,0 +1,412 @@
+# pragma pylint: disable=missing-docstring, C0103
+import logging
+from pathlib import Path
+from unittest.mock import MagicMock
+
+import pytest
+from sqlalchemy import create_engine, text
+
+from freqtrade.constants import DEFAULT_DB_PROD_URL
+from freqtrade.enums import TradingMode
+from freqtrade.exceptions import OperationalException
+from freqtrade.persistence import Trade, init_db
+from freqtrade.persistence.migrations import get_last_sequence_ids, set_sequence_ids
+from freqtrade.persistence.models import PairLock
+from tests.conftest import log_has
+
+
+spot, margin, futures = TradingMode.SPOT, TradingMode.MARGIN, TradingMode.FUTURES
+
+
+def test_init_create_session(default_conf):
+    # Check if init create a session
+    init_db(default_conf['db_url'])
+    assert hasattr(Trade, '_session')
+    assert 'scoped_session' in type(Trade._session).__name__
+
+
+def test_init_custom_db_url(default_conf, tmpdir):
+    # Update path to a value other than default, but still in-memory
+    filename = f"{tmpdir}/freqtrade2_test.sqlite"
+    assert not Path(filename).is_file()
+
+    default_conf.update({'db_url': f'sqlite:///{filename}'})
+
+    init_db(default_conf['db_url'])
+    assert Path(filename).is_file()
+    r = Trade._session.execute(text("PRAGMA journal_mode"))
+    assert r.first() == ('wal',)
+
+
+def test_init_invalid_db_url():
+    # Update path to a value other than default, but still in-memory
+    with pytest.raises(OperationalException, match=r'.*no valid database URL*'):
+        init_db('unknown:///some.url')
+
+    with pytest.raises(OperationalException, match=r'Bad db-url.*For in-memory database, pl.*'):
+        init_db('sqlite:///')
+
+
+def test_init_prod_db(default_conf, mocker):
+    default_conf.update({'dry_run': False})
+    default_conf.update({'db_url': DEFAULT_DB_PROD_URL})
+
+    create_engine_mock = mocker.patch('freqtrade.persistence.models.create_engine', MagicMock())
+
+    init_db(default_conf['db_url'])
+    assert create_engine_mock.call_count == 1
+    assert create_engine_mock.mock_calls[0][1][0] == 'sqlite:///tradesv3.sqlite'
+
+
+def test_init_dryrun_db(default_conf, tmpdir):
+    filename = f"{tmpdir}/freqtrade2_prod.sqlite"
+    assert not Path(filename).is_file()
+    default_conf.update({
+        'dry_run': True,
+        'db_url': f'sqlite:///{filename}'
+    })
+
+    init_db(default_conf['db_url'])
+    assert Path(filename).is_file()
+
+
+def test_migrate_new(mocker, default_conf, fee, caplog):
+    """
+    Test Database migration (starting with new pairformat)
+    """
+    caplog.set_level(logging.DEBUG)
+    amount = 103.223
+    # Always create all columns apart from the last!
+    create_table_old = """CREATE TABLE IF NOT EXISTS "trades" (
+                                id INTEGER NOT NULL,
+                                exchange VARCHAR NOT NULL,
+                                pair VARCHAR NOT NULL,
+                                is_open BOOLEAN NOT NULL,
+                                fee FLOAT NOT NULL,
+                                open_rate FLOAT,
+                                close_rate FLOAT,
+                                close_profit FLOAT,
+                                stake_amount FLOAT NOT NULL,
+                                amount FLOAT,
+                                open_date DATETIME NOT NULL,
+                                close_date DATETIME,
+                                open_order_id VARCHAR,
+                                stop_loss FLOAT,
+                                initial_stop_loss FLOAT,
+                                max_rate FLOAT,
+                                sell_reason VARCHAR,
+                                strategy VARCHAR,
+                                ticker_interval INTEGER,
+                                stoploss_order_id VARCHAR,
+                                PRIMARY KEY (id),
+                                CHECK (is_open IN (0, 1))
+                                );"""
+    create_table_order = """CREATE TABLE orders (
+                                id INTEGER NOT NULL,
+                                ft_trade_id INTEGER,
+                                ft_order_side VARCHAR(25) NOT NULL,
+                                ft_pair VARCHAR(25) NOT NULL,
+                                ft_is_open BOOLEAN NOT NULL,
+                                order_id VARCHAR(255) NOT NULL,
+                                status VARCHAR(255),
+                                symbol VARCHAR(25),
+                                order_type VARCHAR(50),
+                                side VARCHAR(25),
+                                price FLOAT,
+                                amount FLOAT,
+                                filled FLOAT,
+                                remaining FLOAT,
+                                cost FLOAT,
+                                order_date DATETIME,
+                                order_filled_date DATETIME,
+                                order_update_date DATETIME,
+                                PRIMARY KEY (id)
+                            );"""
+    insert_table_old = """INSERT INTO trades (exchange, pair, is_open, fee,
+                          open_rate, stake_amount, amount, open_date,
+                          stop_loss, initial_stop_loss, max_rate, ticker_interval,
+                          open_order_id, stoploss_order_id)
+                          VALUES ('binance', 'ETC/BTC', 1, {fee},
+                          0.00258580, {stake}, {amount},
+                          '2019-11-28 12:44:24.000000',
+                          0.0, 0.0, 0.0, '5m',
+                          'buy_order', 'dry_stop_order_id222')
+                          """.format(fee=fee.return_value,
+                                     stake=default_conf.get("stake_amount"),
+                                     amount=amount
+                                     )
+    insert_orders = f"""
+        insert into orders (
+            ft_trade_id,
+            ft_order_side,
+            ft_pair,
+            ft_is_open,
+            order_id,
+            status,
+            symbol,
+            order_type,
+            side,
+            price,
+            amount,
+            filled,
+            remaining,
+            cost)
+        values (
+            1,
+            'buy',
+            'ETC/BTC',
+            0,
+            'dry_buy_order',
+            'closed',
+            'ETC/BTC',
+            'limit',
+            'buy',
+            0.00258580,
+            {amount},
+            {amount},
+            0,
+            {amount * 0.00258580}
+        ),
+        (
+            1,
+            'buy',
+            'ETC/BTC',
+            1,
+            'dry_buy_order22',
+            'canceled',
+            'ETC/BTC',
+            'limit',
+            'buy',
+            0.00258580,
+            {amount},
+            {amount},
+            0,
+            {amount * 0.00258580}
+        ),
+         (
+            1,
+            'stoploss',
+            'ETC/BTC',
+            1,
+            'dry_stop_order_id11X',
+            'canceled',
+            'ETC/BTC',
+            'limit',
+            'sell',
+            0.00258580,
+            {amount},
+            {amount},
+            0,
+            {amount * 0.00258580}
+        ),
+        (
+            1,
+            'stoploss',
+            'ETC/BTC',
+            1,
+            'dry_stop_order_id222',
+            'open',
+            'ETC/BTC',
+            'limit',
+            'sell',
+            0.00258580,
+            {amount},
+            {amount},
+            0,
+            {amount * 0.00258580}
+        )
+    """
+    engine = create_engine('sqlite://')
+    mocker.patch('freqtrade.persistence.models.create_engine', lambda *args, **kwargs: engine)
+
+    # Create table using the old format
+    with engine.begin() as connection:
+        connection.execute(text(create_table_old))
+        connection.execute(text(create_table_order))
+        connection.execute(text("create index ix_trades_is_open on trades(is_open)"))
+        connection.execute(text("create index ix_trades_pair on trades(pair)"))
+        connection.execute(text(insert_table_old))
+        connection.execute(text(insert_orders))
+
+        # fake previous backup
+        connection.execute(text("create table trades_bak as select * from trades"))
+
+        connection.execute(text("create table trades_bak1 as select * from trades"))
+    # Run init to test migration
+    init_db(default_conf['db_url'])
+
+    assert len(Trade.query.filter(Trade.id == 1).all()) == 1
+    trade = Trade.query.filter(Trade.id == 1).first()
+    assert trade.fee_open == fee.return_value
+    assert trade.fee_close == fee.return_value
+    assert trade.open_rate_requested is None
+    assert trade.close_rate_requested is None
+    assert trade.is_open == 1
+    assert trade.amount == amount
+    assert trade.amount_requested == amount
+    assert trade.stake_amount == default_conf.get("stake_amount")
+    assert trade.pair == "ETC/BTC"
+    assert trade.exchange == "binance"
+    assert trade.max_rate == 0.0
+    assert trade.min_rate is None
+    assert trade.stop_loss == 0.0
+    assert trade.initial_stop_loss == 0.0
+    assert trade.exit_reason is None
+    assert trade.strategy is None
+    assert trade.timeframe == '5m'
+    assert trade.stoploss_order_id == 'dry_stop_order_id222'
+    assert trade.stoploss_last_update is None
+    assert log_has("trying trades_bak1", caplog)
+    assert log_has("trying trades_bak2", caplog)
+    assert log_has("Running database migration for trades - backup: trades_bak2, orders_bak0",
+                   caplog)
+    assert log_has("Database migration finished.", caplog)
+    assert pytest.approx(trade.open_trade_value) == trade._calc_open_trade_value(
+        trade.amount, trade.open_rate)
+    assert trade.close_profit_abs is None
+    assert trade.stake_amount == trade.max_stake_amount
+
+    orders = trade.orders
+    assert len(orders) == 4
+    assert orders[0].order_id == 'dry_buy_order'
+    assert orders[0].ft_order_side == 'buy'
+
+    assert orders[-1].order_id == 'dry_stop_order_id222'
+    assert orders[-1].ft_order_side == 'stoploss'
+    assert orders[-1].ft_is_open is True
+
+    assert orders[1].order_id == 'dry_buy_order22'
+    assert orders[1].ft_order_side == 'buy'
+    assert orders[1].ft_is_open is False
+
+    assert orders[2].order_id == 'dry_stop_order_id11X'
+    assert orders[2].ft_order_side == 'stoploss'
+    assert orders[2].ft_is_open is False
+
+
+def test_migrate_too_old(mocker, default_conf, fee, caplog):
+    """
+    Test Database migration (starting with new pairformat)
+    """
+    caplog.set_level(logging.DEBUG)
+    amount = 103.223
+    create_table_old = """CREATE TABLE IF NOT EXISTS "trades" (
+                                id INTEGER NOT NULL,
+                                exchange VARCHAR NOT NULL,
+                                pair VARCHAR NOT NULL,
+                                is_open BOOLEAN NOT NULL,
+                                fee_open FLOAT NOT NULL,
+                                fee_close FLOAT NOT NULL,
+                                open_rate FLOAT,
+                                close_rate FLOAT,
+                                close_profit FLOAT,
+                                stake_amount FLOAT NOT NULL,
+                                amount FLOAT,
+                                open_date DATETIME NOT NULL,
+                                close_date DATETIME,
+                                open_order_id VARCHAR,
+                                PRIMARY KEY (id),
+                                CHECK (is_open IN (0, 1))
+                                );"""
+
+    insert_table_old = """INSERT INTO trades (exchange, pair, is_open, fee_open, fee_close,
+                          open_rate, stake_amount, amount, open_date)
+                          VALUES ('binance', 'ETC/BTC', 1, {fee}, {fee},
+                          0.00258580, {stake}, {amount},
+                          '2019-11-28 12:44:24.000000')
+                          """.format(fee=fee.return_value,
+                                     stake=default_conf.get("stake_amount"),
+                                     amount=amount
+                                     )
+    engine = create_engine('sqlite://')
+    mocker.patch('freqtrade.persistence.models.create_engine', lambda *args, **kwargs: engine)
+
+    # Create table using the old format
+    with engine.begin() as connection:
+        connection.execute(text(create_table_old))
+        connection.execute(text(insert_table_old))
+
+    # Run init to test migration
+    with pytest.raises(OperationalException, match=r'Your database seems to be very old'):
+        init_db(default_conf['db_url'])
+
+
+def test_migrate_get_last_sequence_ids():
+    engine = MagicMock()
+    engine.begin = MagicMock()
+    engine.name = 'postgresql'
+    get_last_sequence_ids(engine, 'trades_bak', 'orders_bak')
+
+    assert engine.begin.call_count == 2
+    engine.reset_mock()
+    engine.begin.reset_mock()
+
+    engine.name = 'somethingelse'
+    get_last_sequence_ids(engine, 'trades_bak', 'orders_bak')
+
+    assert engine.begin.call_count == 0
+
+
+def test_migrate_set_sequence_ids():
+    engine = MagicMock()
+    engine.begin = MagicMock()
+    engine.name = 'postgresql'
+    set_sequence_ids(engine, 22, 55, 5)
+
+    assert engine.begin.call_count == 1
+    engine.reset_mock()
+    engine.begin.reset_mock()
+
+    engine.name = 'somethingelse'
+    set_sequence_ids(engine, 22, 55, 6)
+
+    assert engine.begin.call_count == 0
+
+
+def test_migrate_pairlocks(mocker, default_conf, fee, caplog):
+    """
+    Test Database migration (starting with new pairformat)
+    """
+    caplog.set_level(logging.DEBUG)
+    # Always create all columns apart from the last!
+    create_table_old = """CREATE TABLE pairlocks (
+                            id INTEGER NOT NULL,
+                            pair VARCHAR(25) NOT NULL,
+                            reason VARCHAR(255),
+                            lock_time DATETIME NOT NULL,
+                            lock_end_time DATETIME NOT NULL,
+                            active BOOLEAN NOT NULL,
+                            PRIMARY KEY (id)
+                        )
+                                """
+    create_index1 = "CREATE INDEX ix_pairlocks_pair ON pairlocks (pair)"
+    create_index2 = "CREATE INDEX ix_pairlocks_lock_end_time ON pairlocks (lock_end_time)"
+    create_index3 = "CREATE INDEX ix_pairlocks_active ON pairlocks (active)"
+    insert_table_old = """INSERT INTO pairlocks (
+        id, pair, reason, lock_time, lock_end_time, active)
+        VALUES (1, 'ETH/BTC', 'Auto lock', '2021-07-12 18:41:03', '2021-07-11 18:45:00', 1)
+                          """
+    insert_table_old2 = """INSERT INTO pairlocks (
+        id, pair, reason, lock_time, lock_end_time, active)
+        VALUES (2, '*', 'Lock all', '2021-07-12 18:41:03', '2021-07-12 19:00:00', 1)
+                          """
+    engine = create_engine('sqlite://')
+    mocker.patch('freqtrade.persistence.models.create_engine', lambda *args, **kwargs: engine)
+    # Create table using the old format
+    with engine.begin() as connection:
+        connection.execute(text(create_table_old))
+
+        connection.execute(text(insert_table_old))
+        connection.execute(text(insert_table_old2))
+        connection.execute(text(create_index1))
+        connection.execute(text(create_index2))
+        connection.execute(text(create_index3))
+
+    init_db(default_conf['db_url'])
+
+    assert len(PairLock.query.all()) == 2
+    assert len(PairLock.query.filter(PairLock.pair == '*').all()) == 1
+    pairlocks = PairLock.query.filter(PairLock.pair == 'ETH/BTC').all()
+    assert len(pairlocks) == 1
+    pairlocks[0].pair == 'ETH/BTC'
+    pairlocks[0].side == '*'
--- a/tests/persistence/test_persistence.py
+++ b/tests/persistence/test_persistence.py
@ -1,78 +1,20 @@
 # pragma pylint: disable=missing-docstring, C0103
-import logging
 from datetime import datetime, timedelta, timezone
-from pathlib import Path
 from types import FunctionType
-from unittest.mock import MagicMock

 import arrow
 import pytest
-from sqlalchemy import create_engine, text

-from freqtrade.constants import DATETIME_PRINT_FORMAT, DEFAULT_DB_PROD_URL
+from freqtrade.constants import DATETIME_PRINT_FORMAT
 from freqtrade.enums import TradingMode
-from freqtrade.exceptions import DependencyException, OperationalException
+from freqtrade.exceptions import DependencyException
 from freqtrade.persistence import LocalTrade, Order, Trade, init_db
-from freqtrade.persistence.migrations import get_last_sequence_ids, set_sequence_ids
-from freqtrade.persistence.models import PairLock
 from tests.conftest import create_mock_trades, create_mock_trades_with_leverage, log_has, log_has_re


 spot, margin, futures = TradingMode.SPOT, TradingMode.MARGIN, TradingMode.FUTURES


-def test_init_create_session(default_conf):
-    # Check if init create a session
-    init_db(default_conf['db_url'])
-    assert hasattr(Trade, '_session')
-    assert 'scoped_session' in type(Trade._session).__name__
-
-
-def test_init_custom_db_url(default_conf, tmpdir):
-    # Update path to a value other than default, but still in-memory
-    filename = f"{tmpdir}/freqtrade2_test.sqlite"
-    assert not Path(filename).is_file()
-
-    default_conf.update({'db_url': f'sqlite:///{filename}'})
-
-    init_db(default_conf['db_url'])
-    assert Path(filename).is_file()
-    r = Trade._session.execute(text("PRAGMA journal_mode"))
-    assert r.first() == ('wal',)
-
-
-def test_init_invalid_db_url():
-    # Update path to a value other than default, but still in-memory
-    with pytest.raises(OperationalException, match=r'.*no valid database URL*'):
-        init_db('unknown:///some.url')
-
-    with pytest.raises(OperationalException, match=r'Bad db-url.*For in-memory database, pl.*'):
-        init_db('sqlite:///')
-
-
-def test_init_prod_db(default_conf, mocker):
-    default_conf.update({'dry_run': False})
-    default_conf.update({'db_url': DEFAULT_DB_PROD_URL})
-
-    create_engine_mock = mocker.patch('freqtrade.persistence.models.create_engine', MagicMock())
-
-    init_db(default_conf['db_url'])
-    assert create_engine_mock.call_count == 1
-    assert create_engine_mock.mock_calls[0][1][0] == 'sqlite:///tradesv3.sqlite'
-
-
-def test_init_dryrun_db(default_conf, tmpdir):
-    filename = f"{tmpdir}/freqtrade2_prod.sqlite"
-    assert not Path(filename).is_file()
-    default_conf.update({
-        'dry_run': True,
-        'db_url': f'sqlite:///{filename}'
-    })
-
-    init_db(default_conf['db_url'])
-    assert Path(filename).is_file()
-
-
@pytest.mark.parametrize('is_short', [False, True])
@pytest.mark.usefixtures("init_persistence")
 def test_enter_exit_side(fee, is_short):
@ -316,8 +258,7 @@ def test_interest(fee, exchange, is_short, lev, minutes, rate, interest,
    (True, 3.0, 30.0, margin),
 ])
@pytest.mark.usefixtures("init_persistence")
-def test_borrowed(limit_buy_order_usdt, limit_sell_order_usdt, fee,
-                  caplog, is_short, lev, borrowed, trading_mode):
+def test_borrowed(fee, is_short, lev, borrowed, trading_mode):
    """
        10 minute limit trade on Binance/Kraken at 1x, 3x leverage
        fee: 0.25% quote
@ -1204,347 +1145,6 @@ def test_calc_profit(
                         trade.open_rate)) == round(profit_ratio, 8)


-def test_migrate_new(mocker, default_conf, fee, caplog):
-    """
-    Test Database migration (starting with new pairformat)
-    """
-    caplog.set_level(logging.DEBUG)
-    amount = 103.223
-    # Always create all columns apart from the last!
-    create_table_old = """CREATE TABLE IF NOT EXISTS "trades" (
-                                id INTEGER NOT NULL,
-                                exchange VARCHAR NOT NULL,
-                                pair VARCHAR NOT NULL,
-                                is_open BOOLEAN NOT NULL,
-                                fee FLOAT NOT NULL,
-                                open_rate FLOAT,
-                                close_rate FLOAT,
-                                close_profit FLOAT,
-                                stake_amount FLOAT NOT NULL,
-                                amount FLOAT,
-                                open_date DATETIME NOT NULL,
-                                close_date DATETIME,
-                                open_order_id VARCHAR,
-                                stop_loss FLOAT,
-                                initial_stop_loss FLOAT,
-                                max_rate FLOAT,
-                                sell_reason VARCHAR,
-                                strategy VARCHAR,
-                                ticker_interval INTEGER,
-                                stoploss_order_id VARCHAR,
-                                PRIMARY KEY (id),
-                                CHECK (is_open IN (0, 1))
-                                );"""
-    create_table_order = """CREATE TABLE orders (
-                                id INTEGER NOT NULL,
-                                ft_trade_id INTEGER,
-                                ft_order_side VARCHAR(25) NOT NULL,
-                                ft_pair VARCHAR(25) NOT NULL,
-                                ft_is_open BOOLEAN NOT NULL,
-                                order_id VARCHAR(255) NOT NULL,
-                                status VARCHAR(255),
-                                symbol VARCHAR(25),
-                                order_type VARCHAR(50),
-                                side VARCHAR(25),
-                                price FLOAT,
-                                amount FLOAT,
-                                filled FLOAT,
-                                remaining FLOAT,
-                                cost FLOAT,
-                                order_date DATETIME,
-                                order_filled_date DATETIME,
-                                order_update_date DATETIME,
-                                PRIMARY KEY (id)
-                            );"""
-    insert_table_old = """INSERT INTO trades (exchange, pair, is_open, fee,
-                          open_rate, stake_amount, amount, open_date,
-                          stop_loss, initial_stop_loss, max_rate, ticker_interval,
-                          open_order_id, stoploss_order_id)
-                          VALUES ('binance', 'ETC/BTC', 1, {fee},
-                          0.00258580, {stake}, {amount},
-                          '2019-11-28 12:44:24.000000',
-                          0.0, 0.0, 0.0, '5m',
-                          'buy_order', 'dry_stop_order_id222')
-                          """.format(fee=fee.return_value,
-                                     stake=default_conf.get("stake_amount"),
-                                     amount=amount
-                                     )
-    insert_orders = f"""
-        insert into orders (
-            ft_trade_id,
-            ft_order_side,
-            ft_pair,
-            ft_is_open,
-            order_id,
-            status,
-            symbol,
-            order_type,
-            side,
-            price,
-            amount,
-            filled,
-            remaining,
-            cost)
-        values (
-            1,
-            'buy',
-            'ETC/BTC',
-            0,
-            'dry_buy_order',
-            'closed',
-            'ETC/BTC',
-            'limit',
-            'buy',
-            0.00258580,
-            {amount},
-            {amount},
-            0,
-            {amount * 0.00258580}
-        ),
-        (
-            1,
-            'buy',
-            'ETC/BTC',
-            1,
-            'dry_buy_order22',
-            'canceled',
-            'ETC/BTC',
-            'limit',
-            'buy',
-            0.00258580,
-            {amount},
-            {amount},
-            0,
-            {amount * 0.00258580}
-        ),
-         (
-            1,
-            'stoploss',
-            'ETC/BTC',
-            1,
-            'dry_stop_order_id11X',
-            'canceled',
-            'ETC/BTC',
-            'limit',
-            'sell',
-            0.00258580,
-            {amount},
-            {amount},
-            0,
-            {amount * 0.00258580}
-        ),
-        (
-            1,
-            'stoploss',
-            'ETC/BTC',
-            1,
-            'dry_stop_order_id222',
-            'open',
-            'ETC/BTC',
-            'limit',
-            'sell',
-            0.00258580,
-            {amount},
-            {amount},
-            0,
-            {amount * 0.00258580}
-        )
-    """
-    engine = create_engine('sqlite://')
-    mocker.patch('freqtrade.persistence.models.create_engine', lambda *args, **kwargs: engine)
-
-    # Create table using the old format
-    with engine.begin() as connection:
-        connection.execute(text(create_table_old))
-        connection.execute(text(create_table_order))
-        connection.execute(text("create index ix_trades_is_open on trades(is_open)"))
-        connection.execute(text("create index ix_trades_pair on trades(pair)"))
-        connection.execute(text(insert_table_old))
-        connection.execute(text(insert_orders))
-
-        # fake previous backup
-        connection.execute(text("create table trades_bak as select * from trades"))
-
-        connection.execute(text("create table trades_bak1 as select * from trades"))
-    # Run init to test migration
-    init_db(default_conf['db_url'])
-
-    assert len(Trade.query.filter(Trade.id == 1).all()) == 1
-    trade = Trade.query.filter(Trade.id == 1).first()
-    assert trade.fee_open == fee.return_value
-    assert trade.fee_close == fee.return_value
-    assert trade.open_rate_requested is None
-    assert trade.close_rate_requested is None
-    assert trade.is_open == 1
-    assert trade.amount == amount
-    assert trade.amount_requested == amount
-    assert trade.stake_amount == default_conf.get("stake_amount")
-    assert trade.pair == "ETC/BTC"
-    assert trade.exchange == "binance"
-    assert trade.max_rate == 0.0
-    assert trade.min_rate is None
-    assert trade.stop_loss == 0.0
-    assert trade.initial_stop_loss == 0.0
-    assert trade.exit_reason is None
-    assert trade.strategy is None
-    assert trade.timeframe == '5m'
-    assert trade.stoploss_order_id == 'dry_stop_order_id222'
-    assert trade.stoploss_last_update is None
-    assert log_has("trying trades_bak1", caplog)
-    assert log_has("trying trades_bak2", caplog)
-    assert log_has("Running database migration for trades - backup: trades_bak2, orders_bak0",
-                   caplog)
-    assert log_has("Database migration finished.", caplog)
-    assert pytest.approx(trade.open_trade_value) == trade._calc_open_trade_value(
-        trade.amount, trade.open_rate)
-    assert trade.close_profit_abs is None
-
-    orders = trade.orders
-    assert len(orders) == 4
-    assert orders[0].order_id == 'dry_buy_order'
-    assert orders[0].ft_order_side == 'buy'
-
-    assert orders[-1].order_id == 'dry_stop_order_id222'
-    assert orders[-1].ft_order_side == 'stoploss'
-    assert orders[-1].ft_is_open is True
-
-    assert orders[1].order_id == 'dry_buy_order22'
-    assert orders[1].ft_order_side == 'buy'
-    assert orders[1].ft_is_open is False
-
-    assert orders[2].order_id == 'dry_stop_order_id11X'
-    assert orders[2].ft_order_side == 'stoploss'
-    assert orders[2].ft_is_open is False
-
-
-def test_migrate_too_old(mocker, default_conf, fee, caplog):
-    """
-    Test Database migration (starting with new pairformat)
-    """
-    caplog.set_level(logging.DEBUG)
-    amount = 103.223
-    create_table_old = """CREATE TABLE IF NOT EXISTS "trades" (
-                                id INTEGER NOT NULL,
-                                exchange VARCHAR NOT NULL,
-                                pair VARCHAR NOT NULL,
-                                is_open BOOLEAN NOT NULL,
-                                fee_open FLOAT NOT NULL,
-                                fee_close FLOAT NOT NULL,
-                                open_rate FLOAT,
-                                close_rate FLOAT,
-                                close_profit FLOAT,
-                                stake_amount FLOAT NOT NULL,
-                                amount FLOAT,
-                                open_date DATETIME NOT NULL,
-                                close_date DATETIME,
-                                open_order_id VARCHAR,
-                                PRIMARY KEY (id),
-                                CHECK (is_open IN (0, 1))
-                                );"""
-
-    insert_table_old = """INSERT INTO trades (exchange, pair, is_open, fee_open, fee_close,
-                          open_rate, stake_amount, amount, open_date)
-                          VALUES ('binance', 'ETC/BTC', 1, {fee}, {fee},
-                          0.00258580, {stake}, {amount},
-                          '2019-11-28 12:44:24.000000')
-                          """.format(fee=fee.return_value,
-                                     stake=default_conf.get("stake_amount"),
-                                     amount=amount
-                                     )
-    engine = create_engine('sqlite://')
-    mocker.patch('freqtrade.persistence.models.create_engine', lambda *args, **kwargs: engine)
-
-    # Create table using the old format
-    with engine.begin() as connection:
-        connection.execute(text(create_table_old))
-        connection.execute(text(insert_table_old))
-
-    # Run init to test migration
-    with pytest.raises(OperationalException, match=r'Your database seems to be very old'):
-        init_db(default_conf['db_url'])
-
-
-def test_migrate_get_last_sequence_ids():
-    engine = MagicMock()
-    engine.begin = MagicMock()
-    engine.name = 'postgresql'
-    get_last_sequence_ids(engine, 'trades_bak', 'orders_bak')
-
-    assert engine.begin.call_count == 2
-    engine.reset_mock()
-    engine.begin.reset_mock()
-
-    engine.name = 'somethingelse'
-    get_last_sequence_ids(engine, 'trades_bak', 'orders_bak')
-
-    assert engine.begin.call_count == 0
-
-
-def test_migrate_set_sequence_ids():
-    engine = MagicMock()
-    engine.begin = MagicMock()
-    engine.name = 'postgresql'
-    set_sequence_ids(engine, 22, 55, 5)
-
-    assert engine.begin.call_count == 1
-    engine.reset_mock()
-    engine.begin.reset_mock()
-
-    engine.name = 'somethingelse'
-    set_sequence_ids(engine, 22, 55, 6)
-
-    assert engine.begin.call_count == 0
-
-
-def test_migrate_pairlocks(mocker, default_conf, fee, caplog):
-    """
-    Test Database migration (starting with new pairformat)
-    """
-    caplog.set_level(logging.DEBUG)
-    # Always create all columns apart from the last!
-    create_table_old = """CREATE TABLE pairlocks (
-                            id INTEGER NOT NULL,
-                            pair VARCHAR(25) NOT NULL,
-                            reason VARCHAR(255),
-                            lock_time DATETIME NOT NULL,
-                            lock_end_time DATETIME NOT NULL,
-                            active BOOLEAN NOT NULL,
-                            PRIMARY KEY (id)
-                        )
-                                """
-    create_index1 = "CREATE INDEX ix_pairlocks_pair ON pairlocks (pair)"
-    create_index2 = "CREATE INDEX ix_pairlocks_lock_end_time ON pairlocks (lock_end_time)"
-    create_index3 = "CREATE INDEX ix_pairlocks_active ON pairlocks (active)"
-    insert_table_old = """INSERT INTO pairlocks (
-        id, pair, reason, lock_time, lock_end_time, active)
-        VALUES (1, 'ETH/BTC', 'Auto lock', '2021-07-12 18:41:03', '2021-07-11 18:45:00', 1)
-                          """
-    insert_table_old2 = """INSERT INTO pairlocks (
-        id, pair, reason, lock_time, lock_end_time, active)
-        VALUES (2, '*', 'Lock all', '2021-07-12 18:41:03', '2021-07-12 19:00:00', 1)
-                          """
-    engine = create_engine('sqlite://')
-    mocker.patch('freqtrade.persistence.models.create_engine', lambda *args, **kwargs: engine)
-    # Create table using the old format
-    with engine.begin() as connection:
-        connection.execute(text(create_table_old))
-
-        connection.execute(text(insert_table_old))
-        connection.execute(text(insert_table_old2))
-        connection.execute(text(create_index1))
-        connection.execute(text(create_index2))
-        connection.execute(text(create_index3))
-
-    init_db(default_conf['db_url'])
-
-    assert len(PairLock.query.all()) == 2
-    assert len(PairLock.query.filter(PairLock.pair == '*').all()) == 1
-    pairlocks = PairLock.query.filter(PairLock.pair == 'ETH/BTC').all()
-    assert len(pairlocks) == 1
-    pairlocks[0].pair == 'ETH/BTC'
-    pairlocks[0].side == '*'
-
-
 def test_adjust_stop_loss(fee):
    trade = Trade(
        pair='ADA/USDT',
@ -1758,6 +1358,7 @@ def test_to_json(fee):
                      'amount': 123.0,
                      'amount_requested': 123.0,
                      'stake_amount': 0.001,
+                      'max_stake_amount': None,
                      'trade_duration': None,
                      'trade_duration_s': None,
                      'realized_profit': 0.0,
@ -1767,7 +1368,6 @@ def test_to_json(fee):
                      'profit_ratio': None,
                      'profit_pct': None,
                      'profit_abs': None,
-                      'sell_reason': None,
                      'exit_reason': None,
                      'exit_order_status': None,
                      'stop_loss_abs': None,
@ -1782,7 +1382,6 @@ def test_to_json(fee):
                      'min_rate': None,
                      'max_rate': None,
                      'strategy': None,
-                      'buy_tag': None,
                      'enter_tag': None,
                      'timeframe': None,
                      'exchange': 'binance',
@ -1826,6 +1425,7 @@ def test_to_json(fee):
                      'amount': 100.0,
                      'amount_requested': 101.0,
                      'stake_amount': 0.001,
+                      'max_stake_amount': None,
                      'trade_duration': 60,
                      'trade_duration_s': 3600,
                      'stop_loss_abs': None,
@ -1857,11 +1457,9 @@ def test_to_json(fee):
                      'open_order_id': None,
                      'open_rate_requested': None,
                      'open_trade_value': 12.33075,
-                      'sell_reason': None,
                      'exit_reason': None,
                      'exit_order_status': None,
                      'strategy': None,
-                      'buy_tag': 'buys_signal_001',
                      'enter_tag': 'buys_signal_001',
                      'timeframe': None,
                      'exchange': 'binance',
--- a/tests/rpc/test_rpc.py
+++ b/tests/rpc/test_rpc.py
@ -46,13 +46,11 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None:
        'open_rate_requested': ANY,
        'open_trade_value': 0.0010025,
        'close_rate_requested': ANY,
-        'sell_reason': ANY,
        'exit_reason': ANY,
        'exit_order_status': ANY,
        'min_rate': ANY,
        'max_rate': ANY,
        'strategy': ANY,
-        'buy_tag': ANY,
        'enter_tag': ANY,
        'timeframe': 5,
        'open_order_id': ANY,
@ -64,6 +62,7 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None:
        'amount': 91.07468123,
        'amount_requested': 91.07468124,
        'stake_amount': 0.001,
+        'max_stake_amount': ANY,
        'trade_duration': None,
        'trade_duration_s': None,
        'close_profit': None,
--- a/tests/rpc/test_rpc_apiserver.py
+++ b/tests/rpc/test_rpc_apiserver.py
@ -985,6 +985,7 @@ def test_api_status(botclient, mocker, ticker, fee, markets, is_short,
        'base_currency': 'ETH',
        'quote_currency': 'BTC',
        'stake_amount': 0.001,
+        'max_stake_amount': ANY,
        'stop_loss_abs': ANY,
        'stop_loss_pct': ANY,
        'stop_loss_ratio': ANY,
@ -1014,11 +1015,9 @@ def test_api_status(botclient, mocker, ticker, fee, markets, is_short,
        'open_order_id': open_order_id,
        'open_rate_requested': ANY,
        'open_trade_value': open_trade_value,
-        'sell_reason': None,
        'exit_reason': None,
        'exit_order_status': None,
        'strategy': CURRENT_TEST_STRATEGY,
-        'buy_tag': None,
        'enter_tag': None,
        'timeframe': 5,
        'exchange': 'binance',
@ -1188,6 +1187,7 @@ def test_api_force_entry(botclient, mocker, fee, endpoint):
        'base_currency': 'ETH',
        'quote_currency': 'BTC',
        'stake_amount': 1,
+        'max_stake_amount': ANY,
        'stop_loss_abs': None,
        'stop_loss_pct': None,
        'stop_loss_ratio': None,
@ -1218,11 +1218,9 @@ def test_api_force_entry(botclient, mocker, fee, endpoint):
        'open_order_id': '123456',
        'open_rate_requested': None,
        'open_trade_value': 0.24605460,
-        'sell_reason': None,
        'exit_reason': None,
        'exit_order_status': None,
        'strategy': CURRENT_TEST_STRATEGY,
-        'buy_tag': None,
        'enter_tag': None,
        'timeframe': 5,
        'exchange': 'binance',
@ -1709,7 +1707,7 @@ def test_api_backtest_history(botclient, mocker, testdatadir):
    mocker.patch('freqtrade.data.btanalysis._get_backtest_files',
                 return_value=[
                     testdatadir / 'backtest_results/backtest-result_multistrat.json',
-                     testdatadir / 'backtest_results/backtest-result_new.json'
+                     testdatadir / 'backtest_results/backtest-result.json'
                     ])

    rc = client_get(client, f"{BASE_URI}/backtest/history")
--- a/tests/test_plotting.py
+++ b/tests/test_plotting.py
@ -46,7 +46,7 @@ def test_init_plotscript(default_conf, mocker, testdatadir):
    default_conf['trade_source'] = "file"
    default_conf['timeframe'] = "5m"
    default_conf["datadir"] = testdatadir
-    default_conf['exportfilename'] = testdatadir / "backtest-result_new.json"
+    default_conf['exportfilename'] = testdatadir / "backtest-result.json"
    supported_markets = ["TRX/BTC", "ADA/BTC"]
    ret = init_plotscript(default_conf, supported_markets)
    assert "ohlcv" in ret
@ -158,7 +158,7 @@ def test_plot_trades(testdatadir, caplog):
    assert fig == fig1
    assert log_has("No trades found.", caplog)
    pair = "ADA/BTC"
-    filename = testdatadir / "backtest_results/backtest-result_new.json"
+    filename = testdatadir / "backtest_results/backtest-result.json"
    trades = load_backtest_data(filename)
    trades = trades.loc[trades['pair'] == pair]

@ -299,7 +299,7 @@ def test_generate_plot_file(mocker, caplog):


 def test_add_profit(testdatadir):
-    filename = testdatadir / "backtest_results/backtest-result_new.json"
+    filename = testdatadir / "backtest_results/backtest-result.json"
    bt_data = load_backtest_data(filename)
    timerange = TimeRange.parse_timerange("20180110-20180112")

@ -319,7 +319,7 @@ def test_add_profit(testdatadir):


 def test_generate_profit_graph(testdatadir):
-    filename = testdatadir / "backtest_results/backtest-result_new.json"
+    filename = testdatadir / "backtest_results/backtest-result.json"
    trades = load_backtest_data(filename)
    timerange = TimeRange.parse_timerange("20180110-20180112")
    pairs = ["TRX/BTC", "XLM/BTC"]
@ -354,7 +354,7 @@ def test_generate_profit_graph(testdatadir):

    profit = find_trace_in_fig_data(figure.data, "Profit")
    assert isinstance(profit, go.Scatter)
-    drawdown = find_trace_in_fig_data(figure.data, "Max drawdown 35.69%")
+    drawdown = find_trace_in_fig_data(figure.data, "Max drawdown 73.89%")
    assert isinstance(drawdown, go.Scatter)
    parallel = find_trace_in_fig_data(figure.data, "Parallel trades")
    assert isinstance(parallel, go.Scatter)
@ -395,7 +395,7 @@ def test_load_and_plot_trades(default_conf, mocker, caplog, testdatadir):

    default_conf['trade_source'] = 'file'
    default_conf["datadir"] = testdatadir
-    default_conf['exportfilename'] = testdatadir / "backtest-result_new.json"
+    default_conf['exportfilename'] = testdatadir / "backtest-result.json"
    default_conf['indicators1'] = ["sma5", "ema10"]
    default_conf['indicators2'] = ["macd"]
    default_conf['pairs'] = ["ETH/BTC", "LTC/BTC"]
@ -466,7 +466,7 @@ def test_plot_profit(default_conf, mocker, testdatadir):
                       match=r"No trades found, cannot generate Profit-plot.*"):
        plot_profit(default_conf)

-    default_conf['exportfilename'] = testdatadir / "backtest_results/backtest-result_new.json"
+    default_conf['exportfilename'] = testdatadir / "backtest_results/backtest-result.json"

    plot_profit(default_conf)

--- a/tests/testdata/backtest_results/.last_result.json
+++ b/tests/testdata/backtest_results/.last_result.json
@ -1 +1 @@
-{"latest_backtest":"backtest-result_new.json"}
+{"latest_backtest":"backtest-result.json"}
--- a/tests/testdata/backtest_results/backtest-result.json
+++ b/tests/testdata/backtest_results/backtest-result.json
--- a/tests/testdata/backtest_results/backtest-result_new.meta.json
+++ b/tests/testdata/backtest_results/backtest-result_new.meta.json
--- a/tests/testdata/backtest_results/backtest-result_new.json
+++ b/tests/testdata/backtest_results/backtest-result_new.json