Forex historical data download csv - LiteForex

PSA: I forked a Tampermonkey script to extract your order/product data from AliExpress into a csv list.

Aloha!
Export aliexpress orders to clipboard as csv is a Tampermonkey skript that will:
Like all those scripts this one is still depending on scraping the web page. You have to advance through the order pages manually, grabbing every page and pasting it to editoExcel/Sheets....
It grabs the historic exchange rates from api.exchangeratesapi.io. If you're not a EURo guy/gal, you can just ignore the columns, as the script keeps the original amounts, e.g. in USD.
This is basically a fork of two existing scripts that didn't fulfill my needs (credited in the Readme). I even retained their names.

Hope this can be helpful to you. Let me know what you think and have fun using it!
submitted by ohuf to Aliexpress [link] [comments]

How to optimise the speed of my Pandas code?

Hi learnpython,
My first attempt at writing my own project. Prior to this I had never used classes or Pandas so it's been a difficult learning curve. I was hoping to get some feedback on the overall structure - does everything look sensible? Are there better ways of writing some bits?
I also wanted to specifically check how I can increase the execution speed. I currently iterate rows which Pandas did say will be slow, but I couldn't see a workaround. The fact it is quite slow makes me think there is a better solution that I'm missing.
To run the code yourself download a .csv of Forex data and store in same folder as script - I used Yahoo finance GBP USD.
"""This program simulates a Double SMA (single moving average) trading strategy. The user provides a .csv file containing trade history and two different window sizes for simple moving averages (smallest number first). The .csv must contain date and close columns - trialled on Yahoo FX data). The program will generate a 'buy' signal when the short SMA is greater than the long SMA, and vice versa. The results of each trade are stored and can be output to a .csv file.""" import pandas as pd class DoubleSMA(): """Generates a Double SMA trading system.""" def __init__(self, name, sma_a, sma_b): """Don't know what goes here.""" self.name = name self.sma_a = sma_a self.sma_b = sma_b self.index = 0 self.order = 'Start' self.signal = '' def gen_sma(self, dataset, sma): """Calculates SMA and adds as column to dataset.""" col_title = 'sma' + str(sma) dataset[col_title] = dataset['Close'].rolling(sma).mean() return dataset def gen_signal(self, row, dataset): """Generates trade signal based on comparison of SMAs.""" if row[0] == (dataset.shape[0] - 1): #Reached final line of dataset; close current trade. self.order = 'Finish' elif row[3] > row[4]: self.signal = 'Buy' elif row[3] < row[4]: self.signal = 'Sell' def append_result(row, result, order): """Adds 'entry' details to results dataframe (i.e. opens trade).""" result = result.append({"Entry date": row[1], "Pair": "GBPUSD", "Order": order, "Entry price": row[2]}, ignore_index=True) return result def trade(row, order, signal, index, result): """Executes a buy or sell routine depending on signal. Flips between 'buy' and 'sell' on each trade.""" if order == 'Start': order = signal result = append_result(row, result, order) elif order == 'Finish': result.iloc[index, 1] = row[1] result.iloc[index, 5] = row[2] elif order != signal: #Close current trade result.iloc[index, 1] = row[1] result.iloc[index, 5] = row[2] index += 1 order = signal result = append_result(row, result, order) return order, index, result def result_df(): """Creates a dataframe to store the results of each trade.""" result = pd.DataFrame({"Entry date": [], "Exit date": [], "Pair": [], "Order": [], "Entry price": [], "Exit price": [], "P/L": []}) return result def dataset_df(): """Opens and cleans up the data to be analysed.""" dataset = pd.read_csv('GBPUSD 2003-2020 Yahoo.csv', usecols=['Date', 'Close']) dataset.dropna(inplace=True) dataset['Close'] = dataset['Close'].round(4) return dataset def store_result(result): """Outputs results table to .csv.""" result.to_csv('example.csv') def calc_pl(result): """Calculates the profil/loss of each row of result dataframe.""" pass #Complete later dataset = dataset_df() result = result_df() sma_2_3 = DoubleSMA('sma_2_3', 2, 3) dataset = sma_2_3.gen_sma(dataset, sma_2_3.sma_a) dataset = sma_2_3.gen_sma(dataset, sma_2_3.sma_b) dataset.dropna(inplace=True) dataset.reset_index(inplace=True, drop=True) for row in dataset.itertuples(): sma_2_3.gen_signal(row, dataset) sma_2_3.order, sma_2_3. index, result = trade(row, sma_2_3.order, sma_2_3.signal, sma_2_3.index, result) calc_pl(result) print(result) store_result(result) 
submitted by tbYuQfzB to learnpython [link] [comments]

machine learning problem

Hi guys, I have a problem. We are trying machine learning on forex. We are trying to predict direction of "tommorows" candle. Due using machine learning with python we have decided using Daily charts, because daily is more accurate and it's not taking too much time.
The reason why Im typing here is asking for help, because Im not sure how to handle this problem and where to take data from.
Todays mechanical process is -. Open Metatrader -> History center -> export data (for each individual currency pair) -> save as .csv and then parse data and work with this. [Its exhausting] This is how we obtain data for machine learning. Plain for using was like: Everyday when I come home from work (about 7 PM), I download data, let my model to predict "future", then I make some market orders and go sleep. But there is a problem. When I come home I can have data only for yesterday's candle, information about todays candle are missing, because day has not ended yet. I cant manualy obrtain data for today but it won't be todays EOD data, but it will be today's "till 7 PM data). So in this case, my model can not work properly, because it has been learned on EOD prices.
I'm desperate. I don't know how to solve this problem. I'm trying to figure this out about 2 weeks. I'm still nowhere. Can anyone suggest me something? Does anyone has any idea please?
Thank you so much and have a wonderful day.
submitted by ferryboy to algotrading [link] [comments]

Forex trading simulator:how to manage your historical data [Step-by-step guide] How to load historical data into Forex Tester 2 How to Download Historial Forex Data - Metatrader 4 ... How to download maximal amount of historical data in MetaTrader 4 Sexy and automated way to download historical data for MT4 - DonForex MetaLoader Download historical Forex data for FREE in 3 Simple Steps How to import MT4 history data from csv files, forex guidance

For all csv data formats including Generic ASCII, MetaTrader, Ninja Trader and MetaStock; For both time frames like 1 Minute and Tick Data; To start the free download, follow the following url: Download Free Forex Historical Data. To have more details about all our data feed, please check this url: Data Files – Detailed Specification Import history data in MetaTrader 4. MetaTrader 4 imports data in CSV format as follows: Load the necessary data in MetaTrader (CSV) format. Let's say GBPUSD. We recommend to download the full data series - 200000 bars. Download all files in your Download folder. If you have previous downloads, you can sort the files by "Date modified". Go to MetaTrader 4 and open the History Center from the ... Copy and paste the Forex History Dump CSV script for MetaTrader 4.zip files into the MQL4 Scripts folder of the Metatrader 4 trading platform. Restart your MetaTrader 4 application (assuming it’s currently open) … or Launch your MetaTrader 4 application. You can access this folder from the top menu as follows: File > Open Data Folder > MQL4 ... Forex Tester allows you to import an unlimited number of currency pairs and years of history data in almost any possible text format (ASCII *.csv, *.txt). We strongly recommend importing 1-minute data for accurate testing (it is possible to import higher timeframes but testing results may not be as good). Note: To increase the quality of testing, we recommend using specific M1 or even tick ... How important is Forex Historical Data Download CSV? In fact, past data is so important, that Forex platforms commit a lot of capital to source that information. Some reports claim that Forex brokers and platforms allocate as much as $27 billion for such information globally. Now that is a big sign of how important past data is. Therefore it is ... Forex Historical Data App is absolutely free for all the traders who want to download Forex data CSV and use it to backtest trading strategies and Robots. Forex Historical Data App is FREE! The Forex Historical Data app is developed to solve one of the biggest problems that the beginner algo traders meet – the brokers do not provide a lot of bars. With this App, you will have Daily Data ... Cara Data History Forex For Rates. Forex Historical Data In A Csv File Scalping. Mt4 Tick Data . Mq4 Mt4 Expert Advisor Exports Forex Real Time Historical Data Files. Forex Historical Data Csv. Historical Forex Data For A Specific Timeframe. Free Daily Historical Forex Data. Dukascopy Historic Data Forex Factory. Forex History Data Csv. Forex Historical Data Ea Academy. Myfxbook Updates. How ...

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Forex trading simulator:how to manage your historical data [Step-by-step guide]

This video represents how the Data Center - the main manager of the Forex historical data- works. With the help of the Data Center you can: • Add/delete currency symbols. Forex Historical Data: how to level up your Forex trading [3 types of the data revealed] - Duration: 1:04. ... Import CSV Data (Comma Separated Values - Data) - Duration: 7:07. ExcelIsFun 120,587 ... Demonstrates how to easily acquire free historical data for your trading platform - in 3 simple steps! Note that this video has closed captions that can be translated into your local language. How to import MT4 history data from csv files, forex guidance - Duration: 1:56. DNX system by Clemens 243 views. 1:56 "The Lost Symbol" - Magic Squares and the Masonic Cipher - Duration: 43:15. ... How to import MT4 history data from csv files, data source : www.histdata.com Do you need good robot ? Please contact : https://t.me/DNX_system 100% FREE, NO... Loading MT4 History Data in the Strategy Tester for optimal forex trading back-testing results. - Duration: 2:37. 10 Bucs 4 MT4 Trading Simulator 5,333 views You may not be seeing all of the Forex historical data that is available and that can be a bad thing. ★ Get clean, Daylight Savings Time adjusted MT4 data he...

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