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Minmax Strategy Performance Results

Description:

This strategy is based on Talib's abstract and QTPYLib-Indicators and is based on the concept of finding "minmax" peaks and using them to generate buy and sell signals.It starts by creating a copy of the dataframe, setting a frame size and looking back size and then looping through the dataframe. Each iteration take one of the slices, calculates min and max peaks, and then after they are found, their position is checked. For instance, if the min or max peak is at the end of the frame, a buy or sell signal is generated respectively. In addition, this strategy also has set values of minimal ROI, stoploss, and timeframe. This strategy is easily adjustable and is a simple yet powerful tool to use in the pursuit of trading success.

Month:

Daily Profit

Pairs

Top cryptocurrency trading pairs

Pair	Buys	Avg Profit %	Cum Profit	Tot Profit Abs	Tot Profit %	Avg Duration	Win	Draw	Loss	Win %
BTC/USDT	0	0.00	0.00	0.000000	0.0	0:00	0	0	0
BCH/USDT	0	0.00	0.00	0.000000	0.0	0:00	0	0	0
ETH/USDT	0	0.00	0.00	0.000000	0.0	0:00	0	0	0
LINK/USDT	0	0.00	0.00	0.000000	0.0	0:00	0	0	0
LTC/USDT	0	0.00	0.00	0.000000	0.0	0:00	0	0	0
SOL/USDT	0	0.00	0.00	0.000000	0.0	0:00	0	0	0
BNB/USDT	0	0.00	0.00	0.000000	0.0	0:00	0	0	0
XRP/USDT	0	0.00	0.00	0.000000	0.0	0:00	0	0	0
ADA/USDT	0	0.00	0.00	0.000000	0.0	0:00	0	0	0
DOT/USDT	0	0.00	0.00	0.000000	0.0	0:00	0	0	0
ETC/USDT	0	0.00	0.00	0.000000	0.0	0:00	0	0	0
ALGO/USDT	0	0.00	0.00	0.000000	0.0	0:00	0	0	0
LUNA/USDT	0	0.00	0.00	0.000000	0.0	0:00	0	0	0
TOTAL	0	0.00	0.00	0.000000	0.0	0:00	0	0	0

Pair: This is the cryptocurrency trading pair that was used for the backtesting.
Buys: This is the total number of buy orders placed during the backtesting.
Avg Profit %: This is the average percentage of profit that was made on each buy order.
Cum Profit: This is the cumulative profit made over all buy orders.
Tot Profit Abs: This is the total absolute profit made over all buy orders.
Tot Profit %: This is the total percentage of profit made over all buy orders.
Avg Duration: This is the average duration of each buy order.
Win: This is the total number of buy orders that resulted in a win.
Draw: This is the total number of buy orders that resulted in a draw.
Loss: This is the total number of buy orders that resulted in a loss.
Win %: This is the percentage of buy orders that resulted in a win.

Sell Reason

Sell Reason	Sells	Win	Draws	Loss	Avg Profit %	Cum Profit %	Tot Profit ABS	Tot Profit %

Summary

A backtesting was performed with a maximum of 5 open trades and an average of 0.0 trades per day. The starting balance was $100 and the final balance was $100, resulting in an absolute profit of $0 and a total profit percentage of 0.0. The average stake amount was $0 and the total trade volume was $0.0. The best pair was BTC/USDT and the worst pair was BTC/USDT. The maximum balance reached was $0 and the minimum balance was $0. The market change during this period was -0.029744092813551205.

Metric	Value
Backtesting from	2024-01-01 00:00:00
Backtesting to	2024-01-13 14:00:00
Max open trades	5
Total/Daily Avg Trades	0 / 0.0
Starting balance	100
Final balance	100
Absolute profit	0
Total profit %	0.0
Avg. stake amount	0
Total trade volume	0.0
Best Pair	BTC/USDT
Worst Pair	BTC/USDT
Max Balance	0
Min Balance	0
Market Change	-0.029744092813551205

Config

                  
{
    "pairlists": [
      {
        "method": "StaticPairList"
      }
    ],
    "timeframe": "15m",
    "tradable_balance_ratio": 0.99,
    "fiat_display_currency": "USD",
    "stake_amount": "unlimited",
    "stake_currency": "USDT",
    "amend_last_stake_amount": true,
    "exchange": {
      "pair_whitelist": [
        "BTC/USDT",
        "BCH/USDT",
        "ETH/USDT",
        "LINK/USDT",
        "LTC/USDT",
        "SOL/USDT",
        "BNB/USDT",
        "XRP/USDT",
        "ADA/USDT",
        "DOT/USDT",
        "ETC/USDT",
        "ALGO/USDT",
        "LUNA/USDT"
      ],
      "name": "binance"
    },
    "dry_run_wallet": 100,
    "max_open_trades": 5
  }