MYM-A    (!)


COLISEO
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 I suggest you focus on the probability of whether the price will be higher or lower at the close. This approach allows you to handle uncertainty more pragmatically and better capture the random nature of markets.


developed a hidden markov model, to tell you in a nutshell the hidden regimes of the market.


UNCENSORED GPT 

cryptojacking

How to Backtest a Trading Strategy on Tradingview

RSI, MACD, moving averages, and price volatility. Define states such as “Strong Bull,” “Weak Bull,” “Neutral,” “Weak Bear,” and “Strong Bear.” Each state corresponds to distinct market dynamics, allowing the Q-learning algorithm 

Buy low, sell high, and manage risks with discipline.



-INPUT TABLES: data tables. for machine learning or API 

1. I made two beautiful trades just because of a fucking news from a telegram channel regarding Lebanon

Go directly to td365. Do your research man. I won't spoon feed u
You're trading with prime market terminal. I have a Bloomberg

1. Intake the bias from NOVASCALPER and have someone trading with an EA with them

I know shitty mm brokers wich pays for losses up to 40%, deposit 1k in an ecn and 1k in mm and hedge those accounts, you earn 200 dollars everytime you do that

Start following Tom Hougaard and copy his trades 1:1

1. GRU: Predict time series trends with memory of past data.
2. LSTM: Capture long-term dependencies in stock price movements.
3. Gradient Boosting: Enhance predictions by combining weak models iteratively.
4. Hyperopt: Optimize model parameters for better trading strategy performance.
5. ARIMA: Model and forecast future prices using past price data.
6. SVR: Predict stock prices by finding optimal hyperplane for regression.
7. Random Forest: Aggregate multiple decision trees for robust market predictions.
8. MLP: Neural network for non-linear stock price prediction.
9. Transformer: Capture relationships between different time series data.
10. Monte Carlo Methods: Simulate and assess risk in trading strategies. -Louis Bachelier's: primal formula

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