![]() ![]() Under control of Heron’s AI, the virtual F-16 would practically play chicken with its opposition - something the human pilots were quick to point out would be a violation of training regulations in a real simulated dogfight. Heron’s AI pilot was widely described as “aggressive” by DARPA staff and the Air Force pilots on hand throughout the competition. However, the new tactics only seemed to delay the inevitable, with Heron managing to kill Banger’s F-16 once again, without the human pilot managing to get a single shot on target. In the fifth and final bout, Banger changed approaches, sweeping his aircraft out away from Heron’s F-16 and creating separation with high-G turns. Heron’s AI system racked up the first four wins against Banger in quick succession, leveraging its incredibly precise aiming to whittle Banger’s aircraft “life” down in a series of looping merges. The real Top Gun, of course, is a Navy school called the United States Navy Strike Fighter Tactics Instructor program. They also explained that Banger was not just a working fighter pilot, he’s a graduate of the Air Force’s Weapons Instructor Course, which could loosely be described as the Air Force’s “Top Gun” school, for the movie buffs out there. While the pilot’s name was not released due to OPSEC concerns, DARPA did provide his callsign: Banger. Air Force F-16 pilot representing humanity in this battle for what some consider to be the future of aviation. That superior aiming capability was on particular display when squaring off against the U.S. “You saw that a lot with Lockheed, we’re both nose on, we’re both creating damage, but when their nose is off by that one degree, that’s where we were able to win a lot of these engagements.” “It’s got to keep that opponent in that one degree cone to win the game,” Ben Bell, Heron’s Senior Machine Learning Engineer, told Sandboxx News. This is my way of being transparent with you all.Heron consistently proved to have the most accurate targeting apparatus of any AI agent, as it engaged opponents with laser-accurate gun strikes often in the first merge of the fight. I feel like when creating a strategy that includes pyramiding right off the bat falsifies the win rate. ![]() You can always pyramid this strategy for more gains! I just don't add pyramiding when creating my strategies because I want to show you the true win/loss ratio based buying one time and one selling one time. I'm always willing to create profitable strategies! Please Let me know if you have any questions or certain strategies you would like me to hyper optimize for you. I will continue to apply machine learning to all my strategies from here on forward. I was able to create a great strategy that might be one of TradingView's best strategies out on the website today. I left my computer on for about 28 hours to fully backtest 5000 EPOCHS and get the results. What makes this strategy interesting is the parameters the Machine Learning library found when backtesting for the best Sharpe Ratio. The sell signal is triggered when close price is greater than upper Bollinger Band at Std Dev 1, and the RSI is greater than a certain value. The buy signal is triggered when close price is less than lower Bollinger Band at Std Dev 1, and the RSI is greater than a certain value. Let me talk a little bit more about how the strategy works. The first version has a Sharpe Ratio of 7.5 which is amazing, and the second version includes the best stop loss and take profit positions with a Sharpe Ratio of 2.5. It is a simple Bollinger Band and RSI strategy with two versions included in the tradingview settings. The historical Bitcoin data was gathered from Binance API, in case you want to know the best exchange to use this long strategy. Every parameter is hyper optimized to bring you the most profitable buy and sell signals for Bitcoin on the 15min chart. This 15 minute Bitcoin Long strategy was created using a machine learning library and 1 year of historical data in Python. ![]() Hello everyone, I am a heavy Python programmer bringing machine learning to TradingView. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |