Cloud Defense Logo

Products

Solutions

Company

Book A Live Demo

Top 8 Examples of "node-bitstamp in functional component" in JavaScript

Dive into secure and efficient coding practices with our curated list of the top 10 examples showcasing 'node-bitstamp' in functional components in JavaScript. Our advanced machine learning engine meticulously scans each line of code, cross-referencing millions of open source libraries to ensure your implementation is not just functional, but also robust and secure. Elevate your React applications to new heights by mastering the art of handling side effects, API calls, and asynchronous operations with confidence and precision.

[CURRENCY.BTC_EUR]: {
        predict: trades => { //before prediction (is called)
            return TRADES_TO_ROW(trades, BTC_EUR_FACTOR);
        },
        main: row => { //before training (is mapped)
           // const trades = row.x.slice(0);
            row.x = TRADES_TO_ROW(row.x, BTC_EUR_FACTOR);
            row.y = TRADES_TO_ROW_OUTPUT(row.y, ETL_FACTOR);
            return row;
        },
        alter: (outputs, tradeForPrediction) => { //after prediction (is called)
            return OUTPUT_TO_TRADE_PRICES(outputs, ETL_FACTOR, tradeForPrediction);
        }
    },

    [CURRENCY.ETH_EUR]: {
        predict: trades => { //before prediction (is called)
            return TRADES_TO_ROW(trades, ETH_EUR_FACTOR);
        },
        main: row => { //before training (is mapped)
           // const trades = row.x.slice(0);
            row.x = TRADES_TO_ROW(row.x, ETH_EUR_FACTOR);
            row.y = TRADES_TO_ROW_OUTPUT(row.y, ETL_FACTOR);
            return row;
        },
        alter: (outputs, tradeForPrediction) => { //after prediction (is called)
            return OUTPUT_TO_TRADE_PRICES(outputs, ETL_FACTOR, tradeForPrediction);
        }
    },

    [CURRENCY.LTC_EUR]: {
        predict: trades => { //before prediction (is called)
//apply to current price
        currentPrice = currentPrice + diff;
        prices.push(currentPrice);
    }

    return prices;
};

/**
 * functions that we apply before training as well as before and after prediction
 * map dataset trades [{x,y}] into price floats [{x,y}]
 * ships predict, main and alter functions for every currency
 */
const ETLS = {

    [CURRENCY.BTC_EUR]: {
        predict: trades => { //before prediction (is called)
            return TRADES_TO_ROW(trades, BTC_EUR_FACTOR);
        },
        main: row => { //before training (is mapped)
           // const trades = row.x.slice(0);
            row.x = TRADES_TO_ROW(row.x, BTC_EUR_FACTOR);
            row.y = TRADES_TO_ROW_OUTPUT(row.y, ETL_FACTOR);
            return row;
        },
        alter: (outputs, tradeForPrediction) => { //after prediction (is called)
            return OUTPUT_TO_TRADE_PRICES(outputs, ETL_FACTOR, tradeForPrediction);
        }
    },

    [CURRENCY.ETH_EUR]: {
        predict: trades => { //before prediction (is called)
[CURRENCY.ETH_EUR]: {
        predict: trades => { //before prediction (is called)
            return TRADES_TO_ROW(trades, ETH_EUR_FACTOR);
        },
        main: row => { //before training (is mapped)
           // const trades = row.x.slice(0);
            row.x = TRADES_TO_ROW(row.x, ETH_EUR_FACTOR);
            row.y = TRADES_TO_ROW_OUTPUT(row.y, ETL_FACTOR);
            return row;
        },
        alter: (outputs, tradeForPrediction) => { //after prediction (is called)
            return OUTPUT_TO_TRADE_PRICES(outputs, ETL_FACTOR, tradeForPrediction);
        }
    },

    [CURRENCY.LTC_EUR]: {
        predict: trades => { //before prediction (is called)
            return TRADES_TO_ROW(trades, LTC_EUR_FACTOR);
        },
        main: row => { //before training (is mapped)
           // const trades = row.x.slice(0);
            row.x = TRADES_TO_ROW(row.x, LTC_EUR_FACTOR);
            row.y = TRADES_TO_ROW_OUTPUT(row.y, ETL_FACTOR);
            return row;
        },
        alter: (outputs, tradeForPrediction) => { //after prediction (is called)
            return OUTPUT_TO_TRADE_PRICES(outputs, ETL_FACTOR, tradeForPrediction);
        }
    },
};

const SUM_LAST_ELEMENTS_IN_ARRAY = (a, c = 3) => {
startForEthereum(){
        return this.start(CURRENCY.ETH_EUR, 3334);
    }
constructor(opts = {}){
        super();

        const {
            currency,
            step,
            streamDir,
            tickerStream
        } = opts;

        this.currency = currency || CURRENCY.ETH_EUR;
        this.step = step || 20;
        this.streamDir = streamDir || path.join(__dirname, "./../streams");
        this.tickerStream = tickerStream;

        this.collected = [];
        this.dataset = null; //TODO dont hold the full dataset in memory
        this.stream = null;
        this.lastTrade = null;
        this._intv = null;
    }
startForBitcoin(){
        return this.start(CURRENCY.BTC_EUR, 3333);
    }
startForLitecoin(){
        return this.start(CURRENCY.LTC_EUR, 3335);
    }
constructor(){
        super();

        this.nnFactory = new NeuronalNetworkFactory({
            inputSize: INPUT_FEATURES,
            outputSize: OUTPUTS
        });

        this.tickerStream = new TickerStream();

        this.ss = null;
        this.css = [];

        this.nets = {};
        this.buffers = {};
        this.constantPredictions = {};
        this.drifts = {};
        this.performanceBuffer = [];

        this.inTraining = false;
        this.performanceSinceStart = 0;
        this.expectedPerformanceSinceStart = 0;
        this.ratingStats = {
            good: 0,
            ok: 0,

Is your System Free of Underlying Vulnerabilities?
Find Out Now