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Strategy: SmartMoneyStrategy
Downloaded: 20230712
Stoploss: -1


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The Smart Money Strategy is a trading strategy designed for backtesting and analysis. The strategy aims to buy when the price is low and sell when the price is high. It uses several indicators, including the Exponential Moving Average (EMA) with a period of 200, the Chaikin Money Flow (CMF), and the Money Flow Index (MFI), to make buy and sell decisions.

Here are the important aspects of the strategy: Buying: The strategy buys when the following conditions are met: The closing price is below the 200-day EMA.

The MFI is below 35.

The CMF is below -0.07. Selling: The strategy sells when the following conditions are met: The closing price is above the 200-day EMA. The MFI is above 70. The CMF is above 0.20. Risk Management: The strategy does not use a stop-loss. It only sells for a profit, with an offset of 0.01. Backtesting: To backtest the strategy, you can use the Freqtrade framework. The recommended command for backtesting is: freqtrade backtesting -s SmartMoneyStrategy --timerange 20210601- -i 1h -p DOT/USDT Plotting: You can plot the strategy's data and indicators using the command: freqtrade plot-dataframe -s SmartMoneyStrategy --timerange 20210601- -i 1h -p DOT/USDT --indicators1 ema_200 --indicators2 cmf mfi Hyperparameter Optimization: The strategy's parameters can be optimized using hyperopt. The recommended command for hyperparameter optimization is: freqtrade hyperopt --hyperopt-loss SharpeHyperOptLoss --strategy SmartMoneyStrategyHyperopt --spaces buy sell --timerange 20210601- --dry-run-wallet 160 --stake 12 -i 1h -e 1000 Please note that this is a simplified explanation of the strategy, and further analysis and fine-tuning may be required for practical trading purposes.

startup_candle_count : 50
Recursive Analysis found no issues while using 50 startup_candle_count
Biased Exit Signals:
8
stoploss: -1
timeframe: 1h
hash(sha256): 2216f4dc1ddaafeb585fc67d9cb185e02845b76e62ef6e257cb4fffcc066e764
indicators:
cm ema_200 close cmf mfi

No similar strategies found. (based on used indicators)

last change: 2023-07-12 09:51:15