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Strategy: BinClucMadDevelop_197
Downloaded: 20220116
Stoploss: -0.99
5mSpotv2UnbiasedLink


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Average Overall
BuysAvgprofTotProfWin%DD%Time
61.250.283.53813.761.15
SharpeSortinoCalmar
2.712.8632.04
Prof.FactorExpectancyCagr
0.3100
Trades/DayRejected Signals
2.2628
Ninja Score: 68
The BinClucMadDevelop strategy is a trading strategy implemented in a backtesting website. Here is a brief description of what the strategy does: populate_indicators: This function populates various indicators in the dataframe, combining information from different timeframes. It merges informative indicators and normal timeframe indicators.

populate_buy_trend: This function defines the conditions for initiating a buy trade.

It sets up multiple conditions for enabling different buy conditions.

The conditions include comparisons between different moving averages, open and close prices, volume, and other technical indicators. If a condition is met, the corresponding buy condition is enabled. The strategy utilizes various indicators and conditions to identify potential buy opportunities in the market. It considers moving averages, price movements, volume, and other factors to make buying decisions.

stoploss: -0.99
timeframe: 5m
hash(sha256): 873f249076c3df0faa5b89638608086005fc135d17bc0338a39c39c45815e8da
indicators:
sma_200_1h v9_buy_condition_4_enable ema_200 ema_50 v9_buy_condition_8_enable
close sma_5 tail v9_buy_condition_1_enable bb_lowerband
mfi bbdelta v6_buy_condition_3_enable volume v6_buy_condition_2_enable
closedelta date conditions_count open v8_buy_condition_3_enable
volume_mean_slow v9_buy_condition_7_enable v9_buy_condition_3_enable v9_buy_condition_6_enable ema_50_1h
sma_200 v8_buy_condition_0_enable v9_buy_condition_10_enable mid v6_buy_condition_0_enable
v9_buy_condition_9_enable v9_buy_co

Similar Strategies: (based on used indicators)

Strategy: BinClucMadDevelop_2, Similarity Score: 96.97%
Strategy: BinClucMadDevelop, Similarity Score: 93.94%
Strategy: BinClucMadDevelop_99, Similarity Score: 93.94%
Strategy: BinClucMadSMADevelop_100, Similarity Score: 90.91%
Strategy: BinClucMadSMADevelop_2, Similarity Score: 90.91%
Strategy: BinClucMadSMADevelop13X, Similarity Score: 87.88%

last change: 2024-04-02 01:28:20