I found the 100 setups in 4 months. This ChatGPT trading strategy works well for scalping cryptocurrencies ( Bitcoin, Ethereum, Dogecoin ), forex and stocks. The best timeframes are 1,3,5,15 minutes. This is an AI trading indicator. New artificial intelligence trading bot. This is a high win rate scalping trading strategy on TradingView. The strategy was created by ChatGPT.
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Crypto, Trading, Scalping Trading Strategy, TradingView, Bitcoin, Cryptocurrency, Best Indicators For Scalping, Price Action Trading, Trading Bot, ChatGPT trading strategy.
*DISCLAIMER*
The information presented in this video is for educational and entertainment purposes only and is not financial advice. I am not a financial advisor. Trading can result in loss of funds. Individuals must consider all risk factors including their own personal financial situation before trading. All individuals are responsible for their own trades and investments.
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I recently asked chat GPT to give me a Trading strategy to turn 100 into ten Thousand dollars fast and it gave me Some tips such as focus on highly Volatile assets use technical analysis Beer disciplines yeah yeah yeah we all Know that nothing specific so I decided To be more specific with my question I Went ahead and asked it to create the Best strategy using an AI based trading View indicator code that the machine Learning this indicator is currently Going absolutely viral I also mentioned That the strategy’s goal is to turn 100 Into ten thousand dollars in the Shortest amount of time possible it Provided me with a detailed strategy it Wasn’t really perfect so I had to make Some tweaks here and there and here it Is the final setup to check if the Strategy actually works I will test it 100 times for that I will use the price Of ethereum on a three minute time frame But before I do that let’s actually open The charts and add the indicators so the Strategy includes three free trading View tools I will explain how each Indicator works as we add them one by One sorry for the first indicator let’s Add the machine learning k n based Strategy let’s thank the Creator Capissimo for this amazing indicator the Machine learning strategy works by Analyzing historical Market data and
Predicting the direction of future price Movements based on patterns in the data K N is a classification algorithm that Determines the class of a data point Based on its nearest Neighbors in a Feature space in the context of trading K n can be used to classify whether a Stock price is likely to go up or down Based on its historical data to use K N For trading historical price data is First collected and transformed into a Feature Vector the feature Vector can Include technical indicators such as Moving averages the relative strength Index and momentum indicators the k n Algorithm is then applied to the feature Vectors to classify whether the stock Price is likely to increase or decrease This indicator is not repainting however You do have to wait for the candle bar To close before you can consider a Signal to be valid it is also very Simple to read the indicator basically Prints blue and pink labels which are Buy and sell signals depending on the Strength of the signals labels may have Lower or higher opacity of course we Cannot use this indicator on its own as This will lead to a lot of four signals That’s why we need to add the next Indicator which is called the EMA ribbon By Dominic osceleti the exponential Moving average ribbon is a trading Indicator that consists of multiple
Exponential moving averages plotted on a Price chart this tool is used to Identify the direction and strength of a Trend in the market the EMA ribbon is Created by plotting several EMAs with Different time periods the moving Averages are then stacked on top of each Other creating a ribbon-like appearance On the chart when the ribbon is sloping Upwards it indicates that the market is An uptrend and when the ribbon is Sloping downwards it indicates that the Market is in a downtrend the EMA ribbon Will help us identify potential buy or Sell signals based on the direction of The trend and the location of the price Relative to the moving averages as we Can see this EMA ribbon indicator comes With buy and sell signals since we Already have a buy and sell indicator on The chart which is the machine learning Let’s actually disable those EMA ribbon Signals if we take a look at the chart We can see that this indicator does Filter out a lot of fake signals but There are still some left that’s why Chat GPT is suggested using their Relative strength index as secondary Confirmation as you probably know the RSI is used in trading to measure the Strength of a Securities price action it Is displayed as a line on a chart that Ranges from 0 to 100 when the RSI is Above 70 it is generally considered
Overbought and when it is below 30 it is Generally considered oversold as part of Our strategy we will make the RSI more Sensitive this way we will get more Valid trade entries so open the style of The indicator and change the RSI upper Band to 60 and the RSI lower band to 40. Foreign Now let’s move on to the entry Conditions for a long trade the Following must be met first the price Must be closed above the 200 EMA the Ribbon must also be above the 200 EMA in Addition it must be green seconded the Price must pull back into the ribbon Without closing below the long-term EMA The machine learning strategy must then Print a blue label lastly the RSI must Be either saw the prior to the Buy Signal as soon as these conditions are Met you can open a long trade set the Stop loss below the recent swing low Target two times the risk once you have Made a quarter of the profit or just the Stop loss to the break-even price for Example you risk five percent of your Account per trade in order to make 10. The price moves in your direction and The unrealized profit is running at 2.5 Percent which is a quarter of your Target as soon as that happens adjust The stop loss and secure the trade [Music] Here’s one more example just so you
Fully understand the strategy we can see That the price is in a clear up Trend The RSI became oversawed which signals That we can purchase the security at a Discounted price then the machine Learning printed a buy label we follow The rules and execute the trade [Music] Thank you Thank you [Music] Do the opposite for short trades first Wait until the price and the ribbon fall Below the 200 EMA the ribbon must become Red the price must pull back into the Ribbon without closing above the 200 EMA The RSI must become overbought during The pullback after that wait for machine Learning to give a final confirmation There is one more important note I Forgot to mention do not enter the trade If the RSI turned oversawed at a time The cell signal was issued open a short Trade only if all the rules are in place Set the stop loss above the recent swing High and Target 2 times the risk move The stop loss to the break even once a Quarter of the profit is made Foreign [Music] Let’s move on to the back testing Results so the starting account balance Was set at 100 and after 100 trades the Strategy increased it to 19
527 I find it funny that the strategies One ratio isn’t even the highest out of All the strategies I’ve tested so far The truth is this particular strategy Involves a bit higher risk than the Usual strategy you might find on my Channel you’ve probably noticed by now That the risk per trade was set at five Percent instead of two it’s no secret That such risk involves higher drawdowns But it also gives you a higher reward by No means am I saying that you should Risk five percent of your account per Trade especially if you have a bigger Account but if your goal is to grow a Small account fast this risk per trade Might be appropriate so give the Strategy a try but don’t skip the Forward testing phase on a paper account I can’t stress enough how important it Is anyway thanks for watching this video I hope you enjoyed it if you want to see More strategies for crypto check out This playlist right here