How To Use The Volume Indicator For Trading Strategy Analysis In Python

  Рет қаралды 14,455

CodeTrading

CodeTrading

Күн бұрын

Пікірлер: 46
@Kopchani
@Kopchani 2 жыл бұрын
this channel is so underrated
@CodeTradingCafe
@CodeTradingCafe 2 жыл бұрын
Thanks a lot for your comment!
@keilee9644
@keilee9644 Жыл бұрын
在数次在不同的访问里听了许老师的论述,觉得非常深刻,论据充分、逻辑缜密,论述了天朝走向衰败的必然。总结的结论,就是制度问题...
@CodeTradingCafe
@CodeTradingCafe Жыл бұрын
Hi I apologize don't understand your language, I hope it's a compliment and you are liking these videos :)
@OmegaGroup-gt3ir
@OmegaGroup-gt3ir Жыл бұрын
Excelente video😍
@CodeTradingCafe
@CodeTradingCafe Жыл бұрын
Thank you
@namesanddames
@namesanddames 2 жыл бұрын
I really like your coding structure, it is helpful to create own algorithm. thank you for this channel. can you make a videos about more cryptos? :) also some fibonacci trading strategies would not be bad :)
@CodeTradingCafe
@CodeTradingCafe 2 жыл бұрын
Hi, thank you for your support, yes crypto are already on my list I will try something worth a video, Fibo to be honest I am not a fan but why not in a later phase...
@Frank-si2jd
@Frank-si2jd Жыл бұрын
Hello, thank you very much for your very well done tutorials! Question; since I’m learning MQL5 to be able to program my EA, I was wondering if in Python it’s possible to get back testing data that includes the Buy and Sell volumes at each tick? And if so, where is this quality data retrieved?
@CodeTradingCafe
@CodeTradingCafe Жыл бұрын
Hi, the tick data is not related to Python, you can download tick data from dukascopy but I think it's limited to 1 days per download file otherwise it's huge size data.
@Frank-si2jd
@Frank-si2jd Жыл бұрын
@@CodeTradingCafe If that's the case, how can you know your backtesting is reliable?
@CodeTradingCafe
@CodeTradingCafe Жыл бұрын
@@Frank-si2jd For high timeframes like 4H or daily charts it's not risky the lower timeframes are less certain because if one candle touches both TP and SL we wouldn't know which one was triggered first this is where you need tick data, but I used to count these cases in python where ambiguity is present it also depends on where you put SL and TP levels (shouldn't be too close to each other)
@psicorj4
@psicorj4 2 жыл бұрын
Excelente video. Muchas gracias por du aporte. Una pregunta, es posible crear una escrategia basada en wyckoff? O una estrategia basada en acción del precio?
@CodeTradingCafe
@CodeTradingCafe 2 жыл бұрын
Hey thank you for your comment, wyckoff was proposed previously, it's possible to investigate... with time hopefully 🙂
@tigerpainset8792
@tigerpainset8792 Жыл бұрын
It the best video thank you very much for you share your experience.I try to understand you logic :-).Thank you again from novice programmer trader thailand.
@CodeTradingCafe
@CodeTradingCafe Жыл бұрын
thank you for your comment, and good luck to you in your programming journey, it will be fun you will see!
@scottbirkby2944
@scottbirkby2944 2 жыл бұрын
Fantastic video! quick question, I am getting this error on the backtesting portions. Data index is not datetime. Assuming simple periods, but `pd.DateTimeIndex` is advised. How do I fix this? again, great video, thanks!
@CodeTradingCafe
@CodeTradingCafe 2 жыл бұрын
Hi thank you, is it a warning or an error? It should still work with normal index?
@scottbirkby2944
@scottbirkby2944 2 жыл бұрын
@@CodeTradingCafe yes, it works great, thanks for getting back to me. is there a way to run this across 100 predefined securities so the program is constantly running on a basket of stocks?
@CodeTradingCafe
@CodeTradingCafe 2 жыл бұрын
@@scottbirkby2944 I haven't thought about it this way, the code has to be modified and included in one function that can be called over different dataframes for different currencies, it's not difficult but takes time to make it.
@azrulfyz1162
@azrulfyz1162 2 жыл бұрын
I just show a yt at TradeATS on how their indicator could project 3 types of movement of the candlestick pattern that would surely avoid lots of false entry... let me know if you are interest or could not find the right yt... thanks for all the great tutorials... 😍
@CodeTradingCafe
@CodeTradingCafe 2 жыл бұрын
Thank you I am glad these tutorials are of help
@ventiladorbueno1846
@ventiladorbueno1846 2 жыл бұрын
Thank you 🙏
@CodeTradingCafe
@CodeTradingCafe 2 жыл бұрын
Still following :) thank you
@denizhan1010
@denizhan1010 2 жыл бұрын
You are perfect man can you back test take profit and stop loss ? with vectorbt or backtrader module.
@CodeTradingCafe
@CodeTradingCafe 2 жыл бұрын
Hi, thank you for your comment, to be honest I found vectorbt documentation a bit slow to follow, backtrader I have to check it
@denizhan1010
@denizhan1010 2 жыл бұрын
@@CodeTradingCafe My technical analysis is fine. The prices formed in the daily time frame consist of the movements of the traders in the smaller time frame during the day. My english bad. :)
@CodeTradingCafe
@CodeTradingCafe 2 жыл бұрын
Don't worry about English I am not native either 🙂 true about the timeframes they are related this way. But I find daily timeframe easier to deal with in algotrading.
@denizhan1010
@denizhan1010 2 жыл бұрын
@@CodeTradingCafe Dolar cost avarage trading strategy little pips hunter. If you calculate max drawdown and your liqudation price creat a dolarcost and sleep :)
@thinketh2408
@thinketh2408 2 жыл бұрын
thanks
@CodeTradingCafe
@CodeTradingCafe 2 жыл бұрын
Thank you for your support
@rupamgohain3890
@rupamgohain3890 2 жыл бұрын
India market related video banaaiye
@CodeTradingCafe
@CodeTradingCafe 2 жыл бұрын
I am not very experimented in India specific strategies but I think a good strategy should work anywhere. Good luck
@V3ritas1989
@V3ritas1989 2 жыл бұрын
why are we using loops for a dataframe? I thought one should never do that?
@CodeTradingCafe
@CodeTradingCafe 2 жыл бұрын
Hi, never say never 🙂 you are somehow right if there is a way to avoid loops in dataframes then it's best to use vectorised approach but sometimes I think of a for loop first and I simply go for it because my dataframe is small and it will not affect computing performance. But yes if you can avoid loops it's always better.
@santhosh6700
@santhosh6700 2 жыл бұрын
Recent days I am trading with the helpof volume...now you came up Volume strategy with Python ❤️.. Thank you man ❤️🔥🔥🔥🇮🇳
@CodeTradingCafe
@CodeTradingCafe 2 жыл бұрын
Thank you for sharing, which timeframe you use?
@santhosh6700
@santhosh6700 2 жыл бұрын
@@CodeTradingCafe I use 15 min and 5 min timeframe to find the volume spike in NIFTY index.. actually my strategy is incomplete. Now only started and monitoring every trading day.. Actually Nifty is the index of largest top 50 company in India. This is the very important index for Indian stock market. If Nifty volume increased in 15 or 5 min timeframe then most of the stocks including these Nifty 50 stocks and also other stock's price will increase with good volume. We can do scalping (0.3 % profit) with these strategy....this is the initial idea and will update the strategy based on future observation.. Note : currently I am using pine script in TradingView platform so I have to open and watch the TradingView chart continuously. Since I am a SW engineer in private company I can't monitor continuosly.....so I built the stable strategy out of this, then I will do the same in Python...so that I don't have to sit and monitor the chart...Python will do this for me and also alert when volume spikes. Thank you ❤️
@santhosh6700
@santhosh6700 2 жыл бұрын
I will try this with top 50 indian stocks and let u know the results bro.
@CodeTradingCafe
@CodeTradingCafe 2 жыл бұрын
Thank you, daily timeframe?
@santhosh6700
@santhosh6700 2 жыл бұрын
@@CodeTradingCafe Yes daily time frame only..like you I am not a big fan of intraday trading.
@CodeTradingCafe
@CodeTradingCafe 2 жыл бұрын
Good luck, let us know how it worked
@senthilsds
@senthilsds 2 жыл бұрын
You got any results?
@Aram-SEMO
@Aram-SEMO 2 жыл бұрын
#كوابيس_سليمان
@CodeTradingCafe
@CodeTradingCafe 2 жыл бұрын
??
@Aram-SEMO
@Aram-SEMO 2 жыл бұрын
This is the best fantasy movie channel. I want to support his channel and your channel with like, comment and subscribe. Thank you for your amazing videos.
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