Machine-Learning-in-Finance
Unverified ML strategy on Multi by cltai9145. BotFinder score 18 out of 100.
Trading Strategy Development
Source: github
BotFinder analysis pending.
Machine-Learning-in-Finance
Machine Learning in Finance Trading Strategy Development Date: 19 Nov 2018 Description Recently, Artificial Neural Networks (ANNs) have been widely applied to financial type problems such as trend direction and price prediction. The project utilizes a few machine learning algorithms to run the model. Some of them are feed-forward Artificial Neural Network (ANN), Long Short-Term Memory (LSTM), Support Vector Machine (SVM) and Naive Bayes. The best model that gives the highest score on a few performance metrics will be used to run the trading process. For instance, the Naïve Bayes model will predict stock prices by fitting featured engineering techniques or other technical indicators into the model. Some of the input features includes Simple Moving Average (SMA), Moving Average Convergence Divergence (MACD), Exponential Moving Average (EMA), Relative Strength Index (RSI), Momentum (MOM), Rate of change (ROC) and other time series factors. The output of the model is used as signals and then imported to the ‘Backtrader’ python backtesting system. The results of the backtesting process ar
⚠ No verified equity curve — no track-record source connected.
Drawdown profile
Data unavailable — contact the owner.
Verification ledger
How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
No score history is stored yet — only the current score is shown.
Reviews & comments
No reviews collected from the source yet.
⚠ No live verification account connected — ask for proof before buying.
Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)