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0xAshborn
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更新:進入了
$LDO
的高峯。我希望它能稍微回落一下,這樣就能達到我的目標價😂📉
#Binance
#algotrade
免責聲明:包含來自第三方的見解。非財務建議。可能包含贊助內容。
請參閱條款。
LDO
0.5333
-0.35%
0
0
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Update: Tweaked the settings to use 3m/20, RSI 3m/7, ADX 15m/4 ... as the trades became slow and took many underwater trades. Fixed the TP to only 0.5% for now so it can exit quickly.
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Already closed $LDO trade... -6$ but its ok, and adjusted VWAPs to use 5m/20, RSI 5m/14, ADX 1h/14 - to avoid hyper entries and random noise. Monitoring it closely now ... and see if there's any improvements. #Binance #algotrade
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Update: we 2x'ed our test balance of $20 in 5 days. still kicking! if it gets to 50$ i might take the initial $20 and then keep it running for a while to compound. I'm also looking at Bybit Futures if we can do the same 📉 #Binance #algotrade #bitcoin #futures
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Just wanted to share a cool little project I've been working on. I've been testing a custom liquidation bot built using Python. (some of you might remember the old LickHunter bot) The core idea is simple: catch those big liquidation wicks for quick, mean-reversion scalps. Added a few indicators for confirmation. The bot now uses a multi-timeframe analysis: -A fast VWAP and RSI on the 3-minute chart to find the perfect entry. -An ADX filter on the 15-minute chart to automatically detect and avoid strong, dangerous market trends. The bot also uses WickHunter to fetch optimized liquidation/VWAP data for each coin. WickHunter takes care of the TP/DCAs too (since i haven't added an automatic TP/SL/DCA feature yet - currently working on it) The results have been pretty amazing so far. Started testing with just $20 about 3 days ago. Anyone else on a similar journey or have thoughts on liquidation-based strategies? #Binance #TradingBots #algotrade #bitcoin #python
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