New Freqtrade Strategies

This is TrixV15 strategy, which is an updated version of the earlier TrixV strategy. It uses a combination of TRIX momentum, Stochastic RSI and Exponential Moving Average (EMA) indicators to detect buy and sell signals. The strategy is optimized with parameters to use different time frames, sources, and types of signals. Using these parameters, the strategy can detect buy and sell signals almost immediately after they appear in the market. The backtesting has shown that TrixV15 strategy produces high profits and has low drawdowns.

The SMAOffsetProtectOptV1Mod2 is a strategy that uses EMA to buy and sell, RSI to identify buy signals and EWO to determine the trend. The parameters for this strategy include base_nb_candles_buy (the number of candles for the buy signal), base_nb_candles_sell (the number of candles for the sell signal), low_offset (the price below the EMA for the buy signal), high_offset (the price above the EMA for the sell signal), ewo_low and ewo_high (the EWO values for the buy and sell signals), and rsi_buy (the RSI value for the buy signal). The strategy also includes the use of a trailing stop and a parameter called antipump_threshold that allows the user to avoid a pump. Finally, the strategy includes the use of two informative timeframes, 5m and 1h, and the option to process only new candles.

This Freqtrade strategies is called MabStra. It uses Moving Averages and Mojo MA indicators to determine entry and exit points for trading. It has 4 buy parameters and 4 sell parameters, namely buy_mojo_ma_timeframe, buy_fast_ma_timeframe, buy_slow_ma_timeframe, buy_div_max, buy_div_min, sell_mojo_ma_timeframe, sell_fast_ma_timeframe, sell_slow_ma_timeframe, sell_div_max and sell_div_min. The stoploss is set at -0.128 and the timeframe is 4 hours. Finally, this strategy also sets a minimal roi for each time frame.

This freqtrade strategy is made up of several different trading indicators and conditions that can be configured. The main indicator used is the exponential weighted (EWO) indicator. This indicator is used to measure the trend on different timeframes and is used to determine when it is a good time to buy or sell. The strategy also uses different types of lambo strategies and a local uptrend indicator to identify potential trade setups. Additionally, the strategy uses the NFI-32 indicator, the Cofi indicator, and the ClucHA indicator to help identify trades. All of these indicators can be customized and optimized with the strategy's settings. Additionally, the buy/sell conditions involve both RSI and volume thresholds.

This freqtrade strategy utilizes multiple indicators to make trading decisions. The first function, populate_buy_trend(), uses indicators such as EMA(Exponential moving average), RSI (Relative Strength Index), CTI (Crypto Trend Indicator), CoFI (Counter Trend Indicator), and CLUC (Contrarian LUCk) to identify potential buying opportunities. The second function, populate_sell_trend(), uses indicators such as Fisher, HA high, and EMA fast to determine when to sell. This strategy also takes into consideration recent pump values and BTC safety levels.

This freqtrade strategy uses a combination of technical indicators to identify buy and sell signals. It takes in a set of data and checks for the Smoothed Heikin-Ashi High and Low values, the EMAC and EMAO indicators, the BBW Expansion, the MFI, DMI Plus and Minus, SRSI, FastD and FastK, VFI and volume. It then uses these indicators to create buy and sell signals when certain conditions are met. For example, it will enter a buy position when the price is below the Smoothed Heikin-Ashi Low value and the EMAC is below the EMAO and other criteria are met. The strategy is robust and uses several indicators to increase the accuracy of the signals.

This freqtrade strategy uses a unique combination of Upper Channel (UC) and the Coppock Curve (Co) indicators to accurately determine buy and sell signals. The strategy first checks if the current close or open price is lower than the UC low and if the Co is increasing. If so, it signals a buy. On the other hand, it checks if the high is higher than the UC up and if the Co is increasing. If so, it signals a sell. By combining these two indicators, the strategy is able to identify the optimal entry and exit points in the market for traders.

This freqtrade strategy is designed to generate profitable trades by taking advantage of shorter-term price movements and based on technical indicators. It utilizes the Relative Strength Index (RSI) and the Exponential Weighted Moving Average (EWO) to determine entry points. The RSI is used to detect oversold and overbought conditions, while the EWO is used to identify possible pullbacks or breakouts. The strategy also utilizes a lookback candle to establish the profitability threshold, a low offset for buying and a high offset for selling. Additionally, it has parameters for the number of candles used for buying and selling. Finally, it also uses a 9-period Simple Moving Average (SMA) and a 50-period Hull Moving Average (HMA) to further increase the accuracy of entry and exit points.

This strategy is a Multi Moving Average (MMA) strategy which uses the Technical Analysis (TA) library Talib, qtpylib and custom indicators. It uses both short term and long term moving average signals from 3 indicators (EMA, ZEMA and TRIMA) to identify entry and exit signals. It also combines these signals with various indicators such as the RSI, EWO and ROC-MAX in order to ensure high probability trades. Furthermore, it also applies various protective measures such as LowProfitPairs and CooldownPeriod to minimize risks. Finally, the trading frequency of this strategy can be adjusted with the “process_only_new_candles” and “startup_candle_count” parameters.

This strategy is a variation of the NotAnotherSMAOffSetStrategy, designed for short-term trading and optimized for cryptocurrency markets. It mainly uses the EMA, RSI, SMA, and the Hull Moving Average (HMA) for indicator confirmation. It is designed to be used with 5-minute candles. The buy signal is constructed from a combination of the RSI (14), EMA (5 and 35), SMA (9), and HMA (50). It looks for low RSI, high EMA, and strong HMA signals. Additionally, it uses volume analysis to find high-volatility periods with higher chance of success. The sell signal is mainly constructed from the RSI, SMA and HMA. It looks for a combination of high RSI, high SMA, and heading down towards HMA (50). If the RSI is higher than 50, it also takes into account low volume periods. The strategy also features optional trailing stop-loss, which can help maintain a consistent profit when the price of the coin is in an uptrend. Since this strategy was designed for short-term trading, the positions are held only for a few candles. This strategy is not suitable for longer-term trading.

This freqtrade strategy uses several indicators, including the Smooth Heikin Ashi (HA), Exponential Weighted Moving Average (EWMA), Bollinger Bands width (BBW), Squeeze Momentum Indicator (SQZMI), Money Flow Index (MFI), Directional Movement Index (DMI), Stochastic RSI (SRSI), Fast Directional Movement Index (FDM), and Volume Flow Index (VFI). Additionally, this strategy looks for the price of the asset to break below or above the Smooth_HA_H or Smooth_HA_L, the EMA_O and EMA_C to cross, and the BBW expanding. It also uses certain thresholds on the MFI, DMI, SRSI, FDM and VFI to enable an entry. Finally, it looks for the SQZMI indicator to turn to true and a higher fastd than fastk with a threshold of 23 or 20 in order to exit a position.

This freqtrade strategy uses Reversal Momentum Index (RMI), 3-day High and Low, Average Daily Range (ADR), Moving Average Crossover (MAC), Streak ROC and Profit Cutoff values to determine the buy and sell decisions. It implements a linear growth in the RMI and Profit Cutoff values in order to provide dynamic decision-making and reduce risk. The strategy also takes into account the impact of other trades on the current one, which helps it to reduce the risk of holding a losing position.

This strategy uses a combination of technical indicators to identify potential buy and sell signals. Specifically, it uses the 14 period EMA (Exponential Moving Average), the RSI (Relative Strength Index) on 4 and 14 periods, the EWO (Elder's Force Index), the ADX (Average Directional Index), the fast and slow Stochastic Oscillator, and the Hull Moving Average (HMA) 50. The strategy then combines these signals to determine if the conditions for buying or selling the asset are met and sets a buy or sell tag accordingly.

This Freqtrade strategy utilizes a combination of technical indicators, such as the Relative Strength Index (RSI) and the Exponential Weighted Moving Average (EWO), in order to make buy and sell decisions. Specifically, the strategy sets conditions when to buy, based on the RSI Fast, RSI, EWO, magnitude of volatility and number of candles, and when to sell, based on the Simple Moving Average (SMA) 9, Heikin-Ashi Moving Average (HMA) 50 and volatility. By using these conditions and indicators, the Freqtrade strategy can effectively identify signals that would be suitable for entering into a profitable trading position.

The CombinedBinHAndClucV5Hyperoptable strategy is a buy-sell indicator used for trading cryptocurrencies. It uses a combination of two indicators, Bollinger Bands and Coppock Curve, for making buy and sell decisions. The strategy uses Bollinger Bands to determine when to make a buy decision, and it uses Coppock Curve to determine when to make a sell decision. Parameters that are configurable include buy_bin_bbdelta_close, buy_bin_closedelta_close, buy_bin_tail_bbdelta, buy_cluc_close_bblowerband and buy_cluc_volume. The strategy also uses a custom stoploss setting, so the user can set their own stop-loss limits. Additionally, it also has features like trailing stop, use of sell signals and sell profit offsets.

The freqtrade strategy I'm using is called Sar. It is a trend-following strategy based on two technical analysis indicators – the relative strength index(RSI) and the Parabolic SAR, or SAR for short. SAR stands for "stop and reverse" and is used to identify trend reversals. First, we use the Relative Strength Index, or RSI, indicator to find out if the asset is in a long or a short direction. RSI is calculated using the most recent trading range, which makes it useful for picking out good entry and exit points for a given asset. Next, we use the Parabolic SAR indicator to identify possible reversals in the trend. SAR stands for "stop and reverse", and it attempts to track the current trend, then when the trend reverses, the SAR will be used to generate trading signals. Finally, we combine these two indicators with some other technical analysis indicators like MACD, MFI, Bollinger Bands, and Hilbert Sine Wave, to create an overall strategy that has historically been profitable when trading with crypto assets.

This strategy is a Fibonacci trading strategy utilizing various indicators such as RSI and DEMAs (Double Exponential Moving Averages). The strategy uses the buying and selling signals of RSI, to determine when to buy or sell when the price changes cross the RSI signals. The strategy also uses various DEMAs such as the 8, 21, and 89 period DEMAs to spot changes in trends and when the trend changes occur they will then buy/sell according to the RSI signals. The strategy also has various parameters such as the buy_rsi and sell_rsi parameters to help customize the strategy based on user preferences. Lastly, the strategy also makes use of stop loss orders to make sure that the user does not take too much risk when trading. This strategy is a great way to make sure that one is taking advantage of the market's volatility by following certain signals, yet also taking into consideration certain parameters to ensure the user is not taking too much risk when trading.

This strategy is based on the Trix indicator, which is a momentum based indicator that uses three exponential moving averages to measure the rate of change of a stock's price. The strategy is designed to generate buy and sell signals when these EMA's cross certain thresholds. The strategy also uses the StochRSI indicator which is used to confirm the trend of the market and genrate buy and sell signals. The strategy has been designed with a 0.8 buy stoch RSI, a 0.2 sell stoch RSI, a candle timeframe of 1 hour, the default minimal roi of 100%, and the default stoploss set to -0.99. The order settings for both buy and sell orders are set to use limit orders with 'gtc' time in force, and the plot configuration settings show the TRIX, Stoch RSI, TRIX PCT, TRIX Signal and TRIX histogram.

This strategy is a combination of several technical indicators, most of which are indicators that rely on the Relative Strength Index (RSI), Moving Averages (MA), and Momentum (MP). The Relative Strength Indicator (RSI) is used to identify overbought and oversold conditions, while the Moving Average (MA) helps identify trend changes. Meanwhile, the Momentum (MP) indicator is used to identify sudden changes in the trend direction. When analyzing buy conditions, the strategy considers the RMI up-trend (a combination of the RSI and the MA) as well as the current profit, the peak profit, and the RMI slow. For sell condition, the strategy considers the RMI down-trend, the current profit, the loss cut-off, the peak profit, and the RMI slow. Additionally, the strategy also looks at free slots, average other profits, and biggest losers when determining whether to sell or not. Overall, this strategy is a technical based trading strategy that relies heavily on the RSI, MA, MP, and RMI indicators. It is designed to help trade identify profitable trades, by looking at buy and sell conditions and helping to identify the right time to enter and exit a trade.

This strategy is based around a combination of two main indicators, the Exponential Moving Average (EMA) and the Relative Strength Index (RSI). The strategy specifies certain thresholds for a 14 period EMA and a combination of 4 period and 14 period RSI values. If the market price is lower than the EMA and below the RSI thresholds, then the "buy_tag" is triggered. The strategy also specifies a lower and upper percent change over certain defined periods, which needs to be met in order for the buy_tag to be triggered. Additionally, the “sell_trend” for this strategy is currently empty, which means that the strategy does not have any defined conditions for when to sell.

This strategy, named SMAOffsetProtectOptV1_1, is a variation of the SMAOffsetProtectOptV1_kkeue_20210619 strategy. It is a momentum-based strategy that uses technical indicators, including exponential moving average (EMA), difference of EMA (emadif), relative strength index (RSI), and volume. It is designed to identify buy signals when the close price of a pair drops below the low offset of the associated exponential moving average and when conditions satisfy either a high EWO or a low RSI. It also identifies sell signals when the close price of a pair is higher than the high offset associated with the moving average, and makes it possible to define a stop-loss level. The strategy also includes a parameter for trailing stop-losses and can also be configured to recognize sell signals based on profits made on trades. Finally, the strategy can be optimized by optimizing the base number of candles used for buy and sell signals, the low offsets for buy, the high offsets for sell, and the EWO and RSI buy levels.

This strategy, RSIv2, uses RSI (Relative Strength Index) and Rperc (WilliamsPercentR) indicators to detect possible trends. When the RSI value is below 30, and the Rperc value is below -80, it will trigger a "buy" signal, and when the RSI value is above 70 and the Rperc value is above -20, it will trigger a "sell" signal. To ensure that the purchase is made at the most optimum time, this strategy only processes recently acquired data, while taking into account the stoploss parameter, minimal return on investment and trailing stop losses. This strategy also uses an informative 30-minute chart to find suitable buy and sell opportunities, allowing the trader to take advantage of long-term suggestions. Furthermore, this strategy also allows traders to use sell signals and only sell their profitable positions, while also ignoring Return on Investment if the buy signal is detected.

This freqtrade strategy uses several indicators that help to identify entry and exit points. It combines the Relative Strength Index (RSI), Exponential Weighted Average (EWO) and Moving Averages (MA) to come up with trade signals. The RSI is used to determine the strength or weakness of the current trend, the EWO keeps track of the momentum and the MA is used to determine the current and previous trend. The strategy also applies a certain offset to buy and sell points for further confirmation. This allows for a confirmation to be made before entering a trade. Furthermore, the strategy also takes into account pump strength, which is a way of determining whether a market is a potential pump and dump target. In summary, this freqtrade strategy uses a combination of the RSI, EWO and MA indicators to identify entry and exit points. Additionally, it also applies an offset to buy and sell points, as well as takes into account pump strength to avoid potential pump and dump scenarios.

The custom_sell strategy implements a strategy to buy and sell when certain conditions are met. It uses the Keltner Channel indicator to determine the buy and sell signals. The signal for buying will be generated when the price crosses the Keltner Channel’s middle line, while the sell signal will be determined by ROI. Other features included in this strategy are stoploss protections, minimal ROI, trailing stop, and use of custom stoploss. The timeframe used is 5 minutes.

This is a custom strategy for Freqtrade called XtraThicc. It combines indicators for buying and selling to provide an effective trading strategy. The main buy signal is 'xtra-thicc' which indicated a large candle between the current open and close being equal or greater than the average of the last 36 candles. Additionally, the strategy employs a stop loss of -0.10% and for extra safety, the buy signal is only triggered when the current close is between the 3 day low and high. Finally, a custom sell condition is employed that is triggered when the 3 day rate-of-change is below 0.5 and a profit threshold of 0.01 has been met.