I'm starting a new channel on AI at youtube.com/@parttimeai, please subscribe! Follow Me On Twitter: twitter.com/parttimelarry Buy Me a Drink: www.buymeacoffee.com/parttimelarry
I have never clicked faster on a like on any video ever :) I absolutely LOVE your content. It is right up my ally and what i do. Thank you so much for all this awesome content!
I can already tell, you're gonna get picked up by some hedge fund that will pay you to shut down your account - or you're gonna lead an army of indy quants.
@@randomdude79404 supertrend, ic, 200 & 50 ema. Pm gappers watch for the 50 bounce for continuation after a buy signal. Ignore all supertrend buy signals if under the cloud or 200, ignore all sell signals if above the cloud or 200. And ignore every signal when price is in the cloud. If supertrend gives a signal and above the cloud, watch for a pullback if it was recently in a downtrend, it almost always does
@@randomdude79404 if you actually code it for alerts I've been looking for that. Let me know if you are able to do it. This process I've used has a super high win rate but the downfall is I miss a majority of signals visually due to the lack of screens
hello, i still confused about how to make a code with this condition : the script will check condition from 5 lines when bar closed. Line1>Line2, Line2 > Line3, Line3 > Line4, Line4 > Line 5. when we meet that condition it will showing a label or shape. could you help me how to code that?
Hey Does anyone know how to change the time zone in the timestamp column? I would like to put the CEST time zone and not the one that comes out by default Thanks
Good catch, for the two videos I just posted I didn't end up needing the authentication yet since I only fetched price data and didn't create any orders. You are right, I will end up using Binance US. I think I would have gotten a permission error if I submitted an order.
@@parttimelarry Thanks for the clarification. I know of some cases were VPNs were used to allow US citizens to use Binance...probably not a good idea though.
I made this shitty code in Python. Dataset I used have current open and previous close to be equal. I think that's how it is in the daily timeframe. def calculateATR(df): maxes = [] for index, row in df.iterrows(): tranges = [] tranges.append(round(abs(row.High - row.Low),1)) tranges.append(round(abs(row.High - row.Open),1)) tranges.append(round(abs(row.Low - row.Open), 1)) maxes.append(max(tranges)) return round(sum(maxes) / len(maxes),1) Please criticize.
I'm starting a new channel on AI at youtube.com/@parttimeai, please subscribe!
Follow Me On Twitter: twitter.com/parttimelarry
Buy Me a Drink: www.buymeacoffee.com/parttimelarry
I have never clicked faster on a like on any video ever :) I absolutely LOVE your content. It is right up my ally and what i do. Thank you so much for all this awesome content!
Man I like this guy, he is literally smiling and laughing throughout the journey!
I have never appreciated anyone on RUclips like I appreciate this guy!
I can already tell, you're gonna get picked up by some hedge fund that will pay you to shut down your account - or you're gonna lead an army of indy quants.
Army of indi quants. I'm listed
Another great one
You are number one bro.. Thanks all..
Bro, you are not only talented but also know how to enjoy life! 😉
Truly a legend! 👊🏾
keep going on
Bro I love you
Use supertrend with IC cloud and ema. Insane results
Im interested , please do elaborate.
@@randomdude79404 supertrend, ic, 200 & 50 ema. Pm gappers watch for the 50 bounce for continuation after a buy signal. Ignore all supertrend buy signals if under the cloud or 200, ignore all sell signals if above the cloud or 200. And ignore every signal when price is in the cloud. If supertrend gives a signal and above the cloud, watch for a pullback if it was recently in a downtrend, it almost always does
@@Grant849 wow fast reply Grant thank you ... Coding this will be a nightmare
@@randomdude79404 yep no worries, also supertrend default is 7,3 I think. Change it to 10,4 for less false signals
@@randomdude79404 if you actually code it for alerts I've been looking for that. Let me know if you are able to do it. This process I've used has a super high win rate but the downfall is I miss a majority of signals visually due to the lack of screens
Do you make the code discussed in here and your other videos available?
GitHub.com/hackingthemarkets
Can you make a trading bot for foreign exchange currencies, I'd love to see it. :)
Trading bot guy indeed!
I am having a problem where the pandas dataframes are limiting themselves to 998 rows. Any ideas?
hello, i still confused about how to make a code with this condition : the script will check condition from 5 lines when bar closed. Line1>Line2, Line2 > Line3, Line3 > Line4, Line4 > Line 5. when we meet that condition it will showing a label or shape. could you help me how to code that?
⭐❤
Hey
Does anyone know how to change the time zone in the timestamp column?
I would like to put the CEST time zone and not the one that comes out by default
Thanks
Python has many date time functions, you should be able to apply a date function to a pandas dataframe column
super Nice.
please help to code a back testing script with long and short. i am using freqtrade backtest but it comes with buy only.
Great video. Are you on Binance or Binance US? I thought you were in the USA?
Good catch, for the two videos I just posted I didn't end up needing the authentication yet since I only fetched price data and didn't create any orders. You are right, I will end up using Binance US. I think I would have gotten a permission error if I submitted an order.
@@parttimelarry Thanks for the clarification. I know of some cases were VPNs were used to allow US citizens to use Binance...probably not a good idea though.
drinking wine , but wear a 'Lone star' tshirt. way to be classy
Yeah, ATR is good when you would have used standard dev, but price-time charts only have 4 points per bar, so yup, atr ftw.
I made this shitty code in Python. Dataset I used have current open and previous close to be equal. I think that's how it is in the daily timeframe.
def calculateATR(df):
maxes = []
for index, row in df.iterrows():
tranges = []
tranges.append(round(abs(row.High - row.Low),1))
tranges.append(round(abs(row.High - row.Open),1))
tranges.append(round(abs(row.Low - row.Open), 1))
maxes.append(max(tranges))
return round(sum(maxes) / len(maxes),1)
Please criticize.