If you have ChatGPT you can code way more than VBA But of course it's not straight forward and bugs are always here. Whether they are seen or unforeseen ones.
Now I could double down on System 1 As it seems better than system 2. But that would be overfiting the past. It’s always best to diversify, Market, System, Signals. I’ve read that’s what the funds do, They don’t trade one system, But several versions of it. With different parameters.
If running 2 systems at same time to try and "smooth" equity curve, it might be good to try 2 different systems that profit in the 2 market conditions...ranging and trending? Mind you, they both need to be fairly profitable or they'll just cancel each other out and eat up margin
Been there done that. Their codes had bugs and since I don't know how to code in that language, they were useless.
This 99% er finally gets it. Thank you for the coaching. @Sekiyo, I did the math (statistics) and experimented with SL, @SteveH's posts were spot on: With a given profit target, if I tighten the stop loss, my win rate goes down. If I widen it, the win rate goes up. However, the expected profit goes down on either sides of the 60-70% win rate and 1:1 reward risk ratio. Also, the math did verify @volpri's scalping methodology. Though I am only able to get a 60-70% win rate with it. Thank you for your help. Happy New Year and wish you a very profitable 2025.
This channel goes through a lot of technical analysis, some of which are used for scalping. While it might seem that the host is joking most of the time, the actual results can give you an idea of what works and what doesn't. https://www.youtube.com/@TRADINGRUSH/videos
I’ve never ran the experiment myself, beside on my own trading, but that’s what I expected. 2/3 win is the implied percentage of 0.5Reward per unit of risk. Assuming no edge, trend, zero mean. I would use the ATR (variance) to define the risk unit. If the market is trending, drifting over time, then we can try to capture it through time. Else … if the mean is 0, range bound market, then we can bet on mean reversion at extremes. Mean / Variance is the cornerstone IMHO. Every step is the result of a random, noise component and a drift, mean component. Short term trends can appear even if the mean is zero. That’s why context is important. Context gives the strategy to adopt (momentum vs mean reversion). The short term gives entry / exit towards larger number expectations.
Looked through them. None is applicable. I am only interested in trading to get a free Big Mac every day, not to go from $xxx to $xxxM in x months.