Update embeddings to the vectorstore. Args: keys: List of metadatas associated with the embedding. embeddings: List o

Load FAISS index and index_to_key from disk. Args: embedding_provider: Embeddings to use when generating queries memo

Assemble a path relative to the project root directory

Method to process the input dataframe. Renames columns to standard names.

Get the embedding dimension.

Add data to memory. Args: **kwargs: Other keyword arguments that subclasses might use.

Call out to OpenAI's embedding endpoint for embedding query text. Args: text: The text to embed. Returns: Em

Retrieve the keys from the vectorstores. Args: data: the query data. top_k: the number of results to return.

Helper method to calculate the Exponential Moving Average (EMA).

Import faiss if available, otherwise raise error. If FAISS_NO_AVX2 environment variable is set, it will be considered to load FAISS with

Method to implement the MACD strategy. Returns a list of signals and explanations based on the MACD strategy. >> Summary:

Method to implement the KDJ strategy with an RSI filter. Returns a list of signals and explanations based on the KDJ and RSI values.

Stochastic Oscillator and Bollinger Bands strategy: Buy when the price is below the lower Bollinger Band and the Stochastic Oscillator is bel

Wrapper method to run the strategy and return the results.

Add embeddings to the vectorstore. Args: keys: List of metadatas associated with the embedding. embeddings: List of e

Use backoff to retry the embedding call.

Mean Reversion strategy: Buy when the z-score is below -1.0 (indicating the price is below the mean by a certain threshold). Sell when the z-

Mean Reversion and ATR Strategy: Buy when ATR indicates high market volatility and the trend is upward, and sell when the price falls below t

Zigzag Pattern Trading Strategy: Utilize the zigzag pattern to identify potential buy and sell signals based on trend reversals.

Parse the config object