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Strategy: SuperHV27
Downloaded: 20220116
Stoploss: -0.4


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Average Overall
BuysAvgprofTotProfWin%DD%Time
328-0.05-6.725712.4237.85
SharpeSortinoCalmar
-3.07-3.5-6.1
Prof.FactorExpectancyCagr
0.3500
Trades/DayRejected Signals
11.44698.5
Ninja Score: 47
The SuperHV27 trading strategy is a backtesting strategy that makes use of various technical indicators to identify potential buying and selling opportunities in the market. Here's a breakdown of its main components: Indicators: The strategy calculates several indicators, including RSI (Relative Strength Index), EMA (Exponential Moving Average), ADX (Average Directional Index), MINUS_DI, PLUS_DI, and various moving averages (lowsma, highsma, fastsma, slowsma). Trend Analysis: The strategy analyzes the trends based on the calculated moving averages.

It checks for conditions such as the fast moving average being greater than the slow moving average and a certain price difference threshold.

RMI (Relative Momentum Index): The strategy calculates the RMI indicator using different lengths and momentum values.

It determines the upward and downward trends based on the RMI values and their rolling sums. Buy Conditions: The strategy defines several conditions to trigger a buy signal. These conditions include checking the trend, profit factor, RMI upward trend, and various combinations of indicators such as ADX, EMA, RSI, and price movements. Sell Conditions: The strategy defines conditions for triggering a sell signal. These conditions involve checking trend confirmation, price movements, ADX, EMA, and RMI values. It also considers factors like current profit, loss cutoff, and other trades. Dynamic ROI (Return on Investment): The strategy incorporates a dynamic ROI calculation, which adjusts the minimum ROI based on trade duration. It supports linear, exponential, and connected ROI types. Overall, the SuperHV27 strategy aims to identify potential buying and selling opportunities by analyzing various technical indicators and trend patterns in the market. It incorporates conditions for both buying and selling decisions, taking into account factors such as trend confirmation, profit/loss thresholds, and trade duration for ROI calculations.

startup_candle_count : 50
rsi: 0.032%
emarsi: 0.142%
adx: -7.240%
minusdi: -0.333%
minusdiema: -26.390%
plusdi: -0.793%
plusdiema: -1.539%
lowsma: -100.000%
highsma: -100.000%
fastsma: -100.000%
slowsma: -100.000%
trend: -100.000%
delta: -100.000%
rmi-slow: -13.130%
rmi-fast: 0.034%
aceback (most recent call last): File "/freqtrade/freqtrade/strategy/strategy_wrapper.py", line 27, in wrapper return f(*args, **kwargs) ^^^^^^^^^^^^^^^^^^ File "/freqtrade/user_data/strategies/SuperHV27.py", line 373, in confirm_trade_entry current_price = ob[f"{bid_strategy['price_side']}s"][0][0] ~~~~~~~~~~~~^^^^^^^^^^^^^^ KeyError: 'price_side'
stoploss: -0.4
timeframe: 5m
hash(sha256): e46029e72411f0393eb7c1382f939d0abc9db7d6b8a8412551585d9ed59f2f2b
indicators:
active_trade preparechangetrend rmifast close lowsma
free_slots open_candles rmidntrend emarsi3 other_trades
meta delta avg_other_profit emarsi2 trend
volume price_side minusdi rmiuptrend adx2
slowingdown continueup emarsi4 slowsma highsma
bigdown current_profit rmislow emarsi max_open_trades
emarsi1 decayrate bigup open_minutes start
price minusdiema adx plusdi fastsma
preparechangetrendconfirm rmidn adx3 peak_profit biggest_loser
rsi end rmiup adx1 runmode
type decaytime last adx4 plusdiema
en

Similar Strategies: (based on used indicators)

Strategy: SHV27, Similarity Score: 98.25%

last change: 2024-04-02 05:49:56