Відео

I thought you said you would include the script??

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This guy ISNT selling snake oil his advice is real. Beware of people selling shiny cars and expensive lifestyles

#Fund

Can’t replicate results with trading view but it sounded promising. Can you post your code?

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#fund

This is vital information ty😊

Code,please

Clue: use %...you're welcome. 🤔🤔🤔

Loved the video, great work. Did you try Nasdaq?

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Code please

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“Try to experiment try to optimize” No mention of how you get the code? Am I missing something here?

AI really really really sucks at coding right now, almost useless. Do a video on NQ long and short results.

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I would love a copy of the code please..thank you

I admire your teaching, and I put ChatGPT to the test, and wow, what a great gem you gave me!

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#fund

Very interesting that ChatGPT came up with this. I would like the code to try myself.

Brilliant video thanks for sharing

Great info, thanks!!!

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Seeing ChatGPT was released 25 months ago, it’s impossible to back test the strategy it designed, for 8 years. 😑

//@version=5 strategy("Bollinger Bands Fixed SL Strategy", overlay=true) // Input parameters length = input.int(20, title="Bollinger Bands Length") src = input.source(close, title="Source") mult = input.float(2.0, title="Bollinger Bands Multiplier") vol_length = input.int(20, title="Volume MA Length") fixed_stop_loss = input.float(0.005, title="Fixed Stop Loss (%)") // 0.5% // Calculate Bollinger Bands basis = ta.sma(src, length) dev = mult * ta.stdev(src, length) upper_band = basis + dev lower_band = basis - dev // Calculate Volume MA vol_ma = ta.sma(volume, vol_length) // Entry conditions long_entry = ta.crossover(close, lower_band) and volume > vol_ma short_entry = ta.crossunder(close, upper_band) and volume > vol_ma // Exit conditions long_exit = ta.crossover(close, basis) short_exit = ta.crossunder(close, basis) // Plot Bollinger Bands plot(upper_band, color=color.red, title="Upper Band") plot(basis, color=color.blue, title="Basis (SMA)") plot(lower_band, color=color.green, title="Lower Band") // Trade execution if (long_entry) stop_loss_price = close * (1 - fixed_stop_loss) // Fixed 0.5% SL for long strategy.entry("Long", strategy.long) strategy.exit("Exit Long", "Long", stop=stop_loss_price, limit=basis) if (short_entry) stop_loss_price = close * (1 + fixed_stop_loss) // Fixed 0.5% SL for short strategy.entry("Short", strategy.short) strategy.exit("Exit Short", "Short", stop=stop_loss_price, limit=basis) // Alerts alertcondition(long_entry, title="Long Entry", message="Long entry triggered") alertcondition(short_entry, title="Short Entry", message="Short entry triggered")

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The bid and ask spread is usually unrealistic in paper trading or back testing, which skews the results to the positive side.

Code please

#fund video would be great Thanks

//@version=5 strategy("Bollinger Bands Reversion Strategy", overlay=true) // Input parameters length = input.int(20, title="Bollinger Bands Length") src = input.source(close, title="Source") mult = input.float(2.0, title="Bollinger Bands Multiplier") vol_length = input.int(20, title="Volume MA Length") risk_reward_ratio = input.float(1.5, title="Risk-Reward Ratio") // Calculate Bollinger Bands basis = ta.sma(src, length) dev = mult * ta.stdev(src, length) upper_band = basis + dev lower_band = basis - dev // Calculate Volume MA vol_ma = ta.sma(volume, vol_length) // Entry conditions long_entry = ta.crossover(close, lower_band) and volume > vol_ma short_entry = ta.crossunder(close, upper_band) and volume > vol_ma // Exit conditions long_exit = ta.crossover(close, basis) short_exit = ta.crossunder(close, basis) // Plot Bollinger Bands plot(upper_band, color=color.red, title="Upper Band") plot(basis, color=color.blue, title="Basis (SMA)") plot(lower_band, color=color.green, title="Lower Band") // Trade execution if (long_entry) long_sl = strategy.position_avg_price - (strategy.position_avg_price - ta.lowest(low, length)) long_tp = strategy.position_avg_price + (strategy.position_avg_price - long_sl) * risk_reward_ratio strategy.entry("Long", strategy.long) strategy.exit("Take Profit/Stop Loss", "Long", stop=long_sl, limit=long_tp) if (short_entry) short_sl = strategy.position_avg_price + (ta.highest(high, length) - strategy.position_avg_price) short_tp = strategy.position_avg_price - (short_sl - strategy.position_avg_price) * risk_reward_ratio strategy.entry("Short", strategy.short) strategy.exit("Take Profit/Stop Loss", "Short", stop=short_sl, limit=short_tp) // Alerts alertcondition(long_entry, title="Long Entry", message="Long entry triggered") alertcondition(short_entry, title="Short Entry", message="Short entry triggered")

Awesome video. I discovered your videos a couple of days ago. Have also subscribed to your website. Brilliant no nonsense content. Thank you and please keep making these videos. We will share your channel with all. Brilliant

I actually obtained what appears to be the code when I searched TradeGPT by asking the following question..: Design and code in Trading View a high win rate day trading strategy, that is easy to follow, use bollinger bands indicator and make it work across different markets...

How can any of us obtain the TV code. Do we have to use ChatGPT to get it or will you post a link to it..?

Good video I'll be using this for sure

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Why are you using delayed data?

He doesn't want you to know 'the-move'. Time waster. Ego-driven.

thank you

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I tried AI for coding a couple of weeks ago actually...mixed results but if i were smarter at trading, the potential seems pretty exciting. A guy i follow on YT has a strategy (pullback) that he is very successful with. I took the transcript from the video that he did that lays out his strategy and put it into Chatgpt with Canvas asking simply "Please help me write the code for a strategy from the following transcript from a youtube video. This guy uses a pullback strategy that he explains". It had a Python version in about a minute...Chat had trouble generating buy and sell signals (iterations had way too many or none at all) but it would do things like adjust RSI and profit targets etc. I was actually uploading screenshots from Tradingview and it was interpreting them! Never got it working quite right but I'm not smart enough to tell it what it needs, still very exciting! I'll go back to it at some point when I learn more. Just signed up for your Watchlist, thank you so much!

Thanks , love your channel!!!!