Hi, unfortunately I don't trade specific markets but you can adapt any of my codes on this channel. Good luck!

All scalping strategies are horrible except very few, it's hard to find something consistent on low timeframes.

Yes I tried it in other videos, can't remember which ones, but in the recent videos I frequently include the ATR for SL and TP levels.

On lower timeframes that would cancel most of the returns, on 4H and daily it's good, actually the commission I added 0.002 is relatively large and covers for spread and slippage)

Hi, thank you for sharing, yes I am still following up a bit. Good point I actually have another vid on the Fibonacci entry levels we can combine both videos/codes I guess.

Hi, it can be translated but I don't do pinescript myself (try with chat GPT it might help)

Thank you for your support, good luck!

Glad it helped! thank you for your support!

Yes but these strategies can be deployed on multiple assets at the same time so you can trade for instance 30 assets in parallel.

Hi, thank you for your comment. To be honest I was always intrigued by different grid systems, and as I mentioned in the video I once did over 1000% returns in just 6 weeks (real money account, trading manually though), I got lucky the market was ranging with no trend during that time. I would very much consider revisiting these systems I will do a small bibliography around it. For slippage and fees I think the easiest and best solution is increase timeframe, higher timeframes include larger movements that can easily cover trading fees and slippage. My personal trading is very simple, price action patterns combined with candles patterns on the 4H and daily timeframes, slow but safe. Good luck!

@@CodeTradingCafe you got me thinking some more about this. I know you trade FX, like I've tended to, however... I've been concerned about the speed of moves and news at certain times. Perhaps trading a basket of stocks and/or hedging going into news might make this a safer trading strategy. Inversely correlated instruments might also help with drawdown.

Hi, thank you, the code is in the link in the description

@@CodeTradingCafe Thanks for the reply. Tried the code shows error

Hi, really sorry I am not familiar with the indian market, but if you like a strategy here you can adapt easily to any asset you are trading.

Hi, really sorry I am not familiar with the indian market, but if you like a strategy here you can adapt easily to any asset you are trading.

Thank you so much 😀 your support is much appreciated! Good luck for your coding... and trading.

Hi, thank you for sharing, I understand your point I do agree partially though. The buy and hold strategy works only on increasing assets, imagine I tried the same strategy on a different stock or a forex that went down so basically the buy and hold will be in the negative, I avoid taking it as a reference. I do agree though that the number of trades is low however I have read many professional traders books and they do have this kind of "selective" strategies too, the solution is to run the strategy on multiple assets at the same time.

and my channel loves you :) thank you for your support

Any market might work and might not, we need to try it, but yes I think forex is a good start.

I could code it, is it freely accessible somewhere?

Thank you for pointing this out. But I am afraid the total number of trades is low so this is not very accurate we would have to test it on different assets as well.

Thanks for sharing, not a swift expert but I guess the algorithm is the same. Good luck!

Hi yes I agree, there is another video showing more realistic analysis check it out kzbin.info/www/bejne/opnVdK1sqZylo7M

Hi, yes I suffered from swap at some point with Oanda, and sometimes swap can be positive meaning you earn on the opened trades! yes it's a small interest for some forex pairs and in one direction for example on USDCHF if you buy/long you get interest but if you short you pay interest... anyway to get rid of this check in your region if Oanda has other types of accounts that don't make you pay swap or overnight fees, if not check other brokers as well, my friend uses CFI in the MiddleEast region he can leave Forex trades opened for 3 month with no additional fees!

Hi, this is not a strategy, it's 2 indicators combined, there is a lot to consider when you need to backtest including the trade management part. You need to provide more details like the length of the RSI, the length of the MA of the RSI, when RSI above MA are we talking exactly about when the RSI crosses above the MA?... If you decide to code strategies, the advantage you will gain is thinking in details :) I strongly encourage you to try, your whole trading experience will change. Edit: sorry I just noticed how long my message is.

@@CodeTradingCafe thanks for your reply. Yes, I am working on strategy based on these 2 indicators to take entry.

Hi, yes the TP values are not aligned with the trades and the TP distances, recheck the conditions why and how are these values messed up, so it's basically the values of TP and sL you need to recheck the rules and make sure the values are computer correctly.

Price prediction is a long shot, I did try xgboost for trend category prediction it's also complicated, simple methods work better!

Thank you !

Thank you for your support, I am just on python no other coding languages for now :)

Open Jupyter notebook and try to load/open the file from there.

I agree it doesn't seem robust enough to me, can be revisited with mods later on maybe.

Thank you for your support, we're not aware of UM

Glad you like them! Thank you for your support. Actually yes the error you are encountering is related to the names of the columns, for example if the title of the column is LOW you to change all the occurrences of low to LOW... just as you did, now since you are still getting the error it means that there is still an unchanged 'low' somewhere in your code. Check it out again and let me know if it works.

@@CodeTradingCafe Thank you for your response and help with this! I've looked through the code again and all instances seem to be correct, but I am still getting the error. I can email you a screenshot of the error message if you think that would help?

Send me a screenshot maybe I can figure it out

@@CodeTradingCafe Thank you very much Sir, I really appreciate it!

My pleasure! Thank you for your constant support, you always bring something nice into the comments :) enjoy coding and Good luck.

Great to hear! Coding is always good bringing new ideas I find it stimulating.

I've just looked up her full name on my browser and found her webpage without sweat, very much appreciate this

It's unexpected to come across her name here. She understands every beginner’s intention and fix you to a trading course that matches your capacity, she knows her stuff! Her advice has been invaluable to my trading journey. Definitely worth giving a shot!

It is really refreshing to see a comment about Flora. I have worked with her also for months now, reached out after reading more about her on the internet. she simplifies matters, whether it's a market surge or drop; her approach consistently keeps you ahead of the trend, She's a guru i'll say

Investing has proven to be an incredibly beneficial decision. My cryptocurrency profits continue to play a substantial role in growing my overall wealth, reducing my reliance on my salary

Nice to see this here, Flora Legziel's understanding of market indicators is impressive. She knows exactly when to enter and exit trades for maximum profit. her siignals are top notch

Hi thank you, I was actually willing to try 1H I don't remember I have made any video here using 1H timeframe...

Following code could be used: def calculate_max_drawdown(data): # Calculate daily returns data['Daily Return'] = data['Adj Close'].pct_change() # Calculate cumulative returns data['Cumulative Return'] = (1 + data['Daily Return']).cumprod() # Calculate the running maximum data['Running Max'] = data['Cumulative Return'].cummax() # Calculate drawdown data['Drawdown'] = data['Cumulative Return'] / data['Running Max'] - 1 # Calculate the maximum drawdown max_drawdown = data['Drawdown'].min() return round(max_drawdown * 100, 2)

That's a good point, sometimes B&H seems better in returns but might be risky in DD, we can easily run a backtest just buying at the beginning of the dataframe and holding till the end of the test. Thank you for the code as well!

Hi, I have few videos on this, live trading bot running from python, check this one for example: kzbin.info/www/bejne/mIvLpamse9JkbaM

Thank you! yes I am not a fan of minutes timeframes but I could test it on 30M or lower for example, if anything interesting I will get back with a video.

Good luck! and thank you for sharing!

Thank you so much!

it can be configured, but I wouldn't trade it, it need to be tested also for robustness, different assets and different conditions.

Absolutely right, the uncertainty is high for low trades count, I should compute the uncertainty actually along with the return value considering the central limit theorem... nice idea thanks again

​@@CodeTradingCafeSame thoughts here. Nice video. But low number of trades makes it's not so good. As for me backtest should have at least 1000 trades. In other way it's cherry picking. Because of that I like small timeframes. It's give you much better information.

That's a great point. I ran it with SPY and XLK daily data on a shorter period 2018 - 2024 both traded 11 times but the results did not duplicate the BMW data. Both ETFs did poorly and think it's because both ETFs had trending markets over the sample time period, this is best for mean reversion markets. Thanks enjoyed the video.

Thank you, yes I agree, I addressed these issues in detail in my course, but I think I have to make recent videos here on YT about Machine Learning.

Thank you too for your support, much appreciated.

Yes I am not sure it's robust enough, but we can test it in different conditions to see.

@@CodeTradingCafe what I found interesting is if you extend to two std deviations and allow more than one trade so if it goes up and down around the band a couple of times you can implement a couple of trades in the same direction

Yes I agree, but the risk is higher also

Lol thank you, it's a good start but need more tests on robustness.

Being nosey, what language have you used - is it Python ? and what feed do you use please ?

@@TheEcherriman Yes, the code is written in Python. I get the data from the broker XTB via API.

what kind of adjustmens you did if its not private? and also, have you tried it in crypto?

@@omerfaruk1351 Nothing major, to be honest: • Bollinger Bands (BB) calculated over 20 periods. • The candle being engulfed can’t be a Doji or any other variation of a small/no body and long wicks type of candle. • I don’t trade when a signal occurs directly on a Bollinger Band after a nearly vertical move up or down, as this means the trend is strong and I would be trading against the short-term momentum. Price often tends to slow down after a while and move a bit closer to the middle of the BB channel. You can find many divergences there on the RSI, which, when paired with an engulfing bar, usually indicate a great opportunity. That’s mostly what I do. There’s also a bit of gut feeling now and then, but I can’t describe it. I believe it comes with experience. And no, I don't trade cryptos at all. Edit. I would like to clearly state that I am not some internet scammer, nor am I trying to portray myself as a genius trader. I am still not rich, I still do not live off trading, and I still make plenty of mistakes. I am continuously learning, and my trades are sometimes tragically off the mark.

does this work on crypto too?

I coded this strategy for cryto. It doesn't work in my hands. It would be useful to compare with smb else

Thank you for sharing. I don't remember if I already did the 30 min timeframe, but I could try it again it's not difficult to modify the code for it, should be a quick video (I will dig in the files I might have it already but need time for the video).

The one and only CodeTradingCafe 💪 😂