Download Historical Forex Data For A Specific Timeframe

My home-made bar replay for MT4

I made a home-made bar replay for MT4 as an alternative to the tradingview bar replay. You can change timeframes and use objects easily. It just uses vertical lines to block the future candles. Then it adjusts the vertical lines when you change zoom or time frames to keep the "future" bars hidden.
I am not a professional coder so this is not as robust as something like Soft4fx or Forex Tester. But for me it gets the job done and is very convenient. Maybe you will find some benefit from it.

Here are the steps to use it:
1) copy the text from the code block
2) go to MT4 terminal and open Meta Editor (click icon or press F4)
3) go to File -> New -> Expert Advisor
4) put in a title and click Next, Next, Finish
5) Delete all text from new file and paste in text from code block
6) go back to MT4
7) Bring up Navigator (Ctrl+N if it's not already up)
8) go to expert advisors section and find what you titled it
9) open up a chart of the symbol you want to test
10) add the EA to this chart
11) specify colors and start time in inputs then press OK
12) use "S" key on your keyboard to advance 1 bar of current time frame
13) use tool bar buttons to change zoom and time frames, do objects, etc.
14) don't turn on auto scroll. if you do by accident, press "S" to return to simulation time.
15) click "buy" and "sell" buttons (white text, top center) to generate entry, TP and SL lines to track your trade
16) to cancel or close a trade, press "close order" then click the white entry line
17) drag and drop TP/SL lines to modify RR
18) click "End" to delete all objects and remove simulation from chart
19) to change simulation time, click "End", then add the simulator EA to your chart with a new start time
20) When you click "End", your own objects will be deleted too, so make sure you are done with them
21) keep track of your own trade results manually
22) use Tools-> History center to download new data if you need it. the simulator won't work on time frames if you don't have historical data going back that far, but it will work on time frames that you have the data for. If you have data but its not appearing, you might also need to increase max bars in chart in Tools->Options->Charts.
23) don't look at status bar if you are moused over hidden candles, or to avoid this you can hide the status bar.


Here is the code block.
//+------------------------------------------------------------------+ //| Bar Replay V2.mq4 | //| Copyright 2020, MetaQuotes Software Corp. | //| https://www.mql5.com | //+------------------------------------------------------------------+ #property copyright "Copyright 2020, MetaQuotes Software Corp." #property link "https://www.mql5.com" #property version "1.00" #property strict #define VK_A 0x41 #define VK_S 0x53 #define VK_X 0x58 #define VK_Z 0x5A #define VK_V 0x56 #define VK_C 0x43 #define VK_W 0x57 #define VK_E 0x45 double balance; string balance_as_string; int filehandle; int trade_ticket = 1; string objectname; string entry_line_name; string tp_line_name; string sl_line_name; string one_R_line_name; double distance; double entry_price; double tp_price; double sl_price; double one_R; double TP_distance; double gain_in_R; string direction; bool balance_file_exist; double new_balance; double sl_distance; string trade_number; double risk; double reward; string RR_string; int is_tp_or_sl_line=0; int click_to_cancel=0; input color foreground_color = clrWhite; input color background_color = clrBlack; input color bear_candle_color = clrRed; input color bull_candle_color = clrSpringGreen; input color current_price_line_color = clrGray; input string start_time = "2020.10.27 12:00"; input int vertical_margin = 100; //+------------------------------------------------------------------+ //| Expert initialization function | //+------------------------------------------------------------------+ int OnInit() { Comment(""); ChartNavigate(0,CHART_BEGIN,0); BlankChart(); ChartSetInteger(0,CHART_SHIFT,true); ChartSetInteger(0,CHART_FOREGROUND,false); ChartSetInteger(0,CHART_AUTOSCROLL,false); ChartSetInteger(0,CHART_SCALEFIX,false); ChartSetInteger(0,CHART_SHOW_OBJECT_DESCR,true); if (ObjectFind(0,"First OnInit")<0){ CreateStorageHLine("First OnInit",1);} if (ObjectFind(0,"Simulation Time")<0){ CreateTestVLine("Simulation Time",StringToTime(start_time));} string vlinename; for (int i=0; i<=1000000; i++){ vlinename="VLine"+IntegerToString(i); ObjectDelete(vlinename); } HideBars(SimulationBarTime(),0); //HideBar(SimulationBarTime()); UnBlankChart(); LabelCreate("New Buy Button","Buy",0,38,foreground_color); LabelCreate("New Sell Button","Sell",0,41,foreground_color); LabelCreate("Cancel Order","Close Order",0,44,foreground_color); LabelCreate("Risk To Reward","RR",0,52,foreground_color); LabelCreate("End","End",0,35,foreground_color); ObjectMove(0,"First OnInit",0,0,0); //--- create timer EventSetTimer(60); return(INIT_SUCCEEDED); } //+------------------------------------------------------------------+ //| Expert deinitialization function | //+------------------------------------------------------------------+ void OnDeinit(const int reason) { //--- destroy timer EventKillTimer(); } //+------------------------------------------------------------------+ //| Expert tick function | //+------------------------------------------------------------------+ void OnTick() { //--- } //+------------------------------------------------------------------+ //| ChartEvent function | //+------------------------------------------------------------------+ void OnChartEvent(const int id, const long &lparam, const double &dparam, const string &sparam) { if (id==CHARTEVENT_CHART_CHANGE){ int chartscale = ChartGetInteger(0,CHART_SCALE,0); int lastchartscale = ObjectGetDouble(0,"Last Chart Scale",OBJPROP_PRICE,0); if (chartscale!=lastchartscale){ int chartscale = ChartGetInteger(0,CHART_SCALE,0); ObjectMove(0,"Last Chart Scale",0,0,chartscale); OnInit(); }} if (id==CHARTEVENT_KEYDOWN){ if (lparam==VK_S){ IncreaseSimulationTime(); UnHideBar(SimulationPosition()); NavigateToSimulationPosition(); CreateHLine(0,"Current Price",Close[SimulationPosition()+1],current_price_line_color,1,0,true,false,false,"price"); SetChartMinMax(); }} if(id==CHARTEVENT_OBJECT_CLICK) { if(sparam=="New Sell Button") { distance = iATR(_Symbol,_Period,20,SimulationPosition()+1)/2; objectname = "Trade # "+IntegerToString(trade_ticket); CreateHLine(0,objectname,Close[SimulationPosition()+1],foreground_color,2,5,false,true,true,"Sell"); objectname = "TP for Trade # "+IntegerToString(trade_ticket); CreateHLine(0,objectname,Close[SimulationPosition()+1]-distance*2,clrAqua,2,5,false,true,true,"TP"); objectname = "SL for Trade # "+IntegerToString(trade_ticket); CreateHLine(0,objectname,Close[SimulationPosition()+1]+distance,clrRed,2,5,false,true,true,"SL"); trade_ticket+=1; } } if(id==CHARTEVENT_OBJECT_CLICK) { if(sparam=="New Buy Button") { distance = iATR(_Symbol,_Period,20,SimulationPosition()+1)/2; objectname = "Trade # "+IntegerToString(trade_ticket); CreateHLine(0,objectname,Close[SimulationPosition()+1],foreground_color,2,5,false,true,true,"Buy"); objectname = "TP for Trade # "+IntegerToString(trade_ticket); CreateHLine(0,objectname,Close[SimulationPosition()+1]+distance*2,clrAqua,2,5,false,true,true,"TP"); objectname = "SL for Trade # "+IntegerToString(trade_ticket); CreateHLine(0,objectname,Close[SimulationPosition()+1]-distance,clrRed,2,5,false,true,true,"SL"); trade_ticket+=1; } } if(id==CHARTEVENT_OBJECT_DRAG) { if(StringFind(sparam,"TP",0)==0) { is_tp_or_sl_line=1; } if(StringFind(sparam,"SL",0)==0) { is_tp_or_sl_line=1; } Comment(is_tp_or_sl_line); if(is_tp_or_sl_line==1) { trade_number = StringSubstr(sparam,7,9); entry_line_name = trade_number; tp_line_name = "TP for "+entry_line_name; sl_line_name = "SL for "+entry_line_name; entry_price = ObjectGetDouble(0,entry_line_name,OBJPROP_PRICE,0); tp_price = ObjectGetDouble(0,tp_line_name,OBJPROP_PRICE,0); sl_price = ObjectGetDouble(0,sl_line_name,OBJPROP_PRICE,0); sl_distance = MathAbs(entry_price-sl_price); TP_distance = MathAbs(entry_price-tp_price); reward = TP_distance/sl_distance; RR_string = "RR = 1 : "+DoubleToString(reward,2); ObjectSetString(0,"Risk To Reward",OBJPROP_TEXT,RR_string); is_tp_or_sl_line=0; } } if(id==CHARTEVENT_OBJECT_CLICK) { if(sparam=="Cancel Order") { click_to_cancel=1; Comment("please click the entry line of the order you wish to cancel."); } } if(id==CHARTEVENT_OBJECT_CLICK) { if(sparam!="Cancel Order") { if(click_to_cancel==1) { if(ObjectGetInteger(0,sparam,OBJPROP_TYPE,0)==OBJ_HLINE) { entry_line_name = sparam; tp_line_name = "TP for "+sparam; sl_line_name = "SL for "+sparam; ObjectDelete(0,entry_line_name); ObjectDelete(0,tp_line_name); ObjectDelete(0,sl_line_name); click_to_cancel=0; ObjectSetString(0,"Risk To Reward",OBJPROP_TEXT,"RR"); } } } } if (id==CHARTEVENT_OBJECT_CLICK){ if (sparam=="End"){ ObjectsDeleteAll(0,-1,-1); ExpertRemove(); }} } //+------------------------------------------------------------------+ void CreateStorageHLine(string name, double value){ ObjectDelete(name); ObjectCreate(0,name,OBJ_HLINE,0,0,value); ObjectSetInteger(0,name,OBJPROP_SELECTED,false); ObjectSetInteger(0,name,OBJPROP_SELECTABLE,false); ObjectSetInteger(0,name,OBJPROP_COLOR,clrNONE); ObjectSetInteger(0,name,OBJPROP_BACK,true); ObjectSetInteger(0,name,OBJPROP_ZORDER,0); } void CreateTestHLine(string name, double value){ ObjectDelete(name); ObjectCreate(0,name,OBJ_HLINE,0,0,value); ObjectSetInteger(0,name,OBJPROP_SELECTED,false); ObjectSetInteger(0,name,OBJPROP_SELECTABLE,false); ObjectSetInteger(0,name,OBJPROP_COLOR,clrWhite); ObjectSetInteger(0,name,OBJPROP_BACK,true); ObjectSetInteger(0,name,OBJPROP_ZORDER,0); } bool IsFirstOnInit(){ bool bbb=false; if (ObjectGetDouble(0,"First OnInit",OBJPROP_PRICE,0)==1){return true;} return bbb; } void CreateTestVLine(string name, datetime timevalue){ ObjectDelete(name); ObjectCreate(0,name,OBJ_VLINE,0,timevalue,0); ObjectSetInteger(0,name,OBJPROP_SELECTED,false); ObjectSetInteger(0,name,OBJPROP_SELECTABLE,false); ObjectSetInteger(0,name,OBJPROP_COLOR,clrNONE); ObjectSetInteger(0,name,OBJPROP_BACK,false); ObjectSetInteger(0,name,OBJPROP_ZORDER,3); } datetime SimulationTime(){ return ObjectGetInteger(0,"Simulation Time",OBJPROP_TIME,0); } int SimulationPosition(){ return iBarShift(_Symbol,_Period,SimulationTime(),false); } datetime SimulationBarTime(){ return Time[SimulationPosition()]; } void IncreaseSimulationTime(){ ObjectMove(0,"Simulation Time",0,Time[SimulationPosition()-1],0); } void NavigateToSimulationPosition(){ ChartNavigate(0,CHART_END,-1*SimulationPosition()+15); } void NotifyNotEnoughHistoricalData(){ BlankChart(); Comment("Sorry, but there is not enough historical data to load this time frame."+"\n"+ "Please load more historical data or use a higher time frame. Thank you :)");} void UnHideBar(int barindex){ ObjectDelete(0,"VLine"+IntegerToString(barindex+1)); } void BlankChart(){ ChartSetInteger(0,CHART_COLOR_FOREGROUND,clrNONE); ChartSetInteger(0,CHART_COLOR_CANDLE_BEAR,clrNONE); ChartSetInteger(0,CHART_COLOR_CANDLE_BULL,clrNONE); ChartSetInteger(0,CHART_COLOR_CHART_DOWN,clrNONE); ChartSetInteger(0,CHART_COLOR_CHART_UP,clrNONE); ChartSetInteger(0,CHART_COLOR_CHART_LINE,clrNONE); ChartSetInteger(0,CHART_COLOR_GRID,clrNONE); ChartSetInteger(0,CHART_COLOR_ASK,clrNONE); ChartSetInteger(0,CHART_COLOR_BID,clrNONE);} void UnBlankChart(){ ChartSetInteger(0,CHART_COLOR_FOREGROUND,foreground_color); ChartSetInteger(0,CHART_COLOR_CANDLE_BEAR,bear_candle_color); ChartSetInteger(0,CHART_COLOR_CANDLE_BULL,bull_candle_color); ChartSetInteger(0,CHART_COLOR_BACKGROUND,background_color); ChartSetInteger(0,CHART_COLOR_CHART_DOWN,foreground_color); ChartSetInteger(0,CHART_COLOR_CHART_UP,foreground_color); ChartSetInteger(0,CHART_COLOR_CHART_LINE,foreground_color); ChartSetInteger(0,CHART_COLOR_GRID,clrNONE); ChartSetInteger(0,CHART_COLOR_ASK,clrNONE); ChartSetInteger(0,CHART_COLOR_BID,clrNONE);} void HideBars(datetime starttime, int shift){ int startbarindex = iBarShift(_Symbol,_Period,starttime,false); ChartNavigate(0,CHART_BEGIN,0); if (Time[WindowFirstVisibleBar()]>SimulationTime()){NotifyNotEnoughHistoricalData();} if (Time[WindowFirstVisibleBar()]=0; i--){ vlinename="VLine"+IntegerToString(i); ObjectCreate(0,vlinename,OBJ_VLINE,0,Time[i],0); ObjectSetInteger(0,vlinename,OBJPROP_COLOR,background_color); ObjectSetInteger(0,vlinename,OBJPROP_BACK,false); ObjectSetInteger(0,vlinename,OBJPROP_WIDTH,vlinewidth); ObjectSetInteger(0,vlinename,OBJPROP_ZORDER,10); ObjectSetInteger(0,vlinename,OBJPROP_FILL,true); ObjectSetInteger(0,vlinename,OBJPROP_STYLE,STYLE_SOLID); ObjectSetInteger(0,vlinename,OBJPROP_SELECTED,false); ObjectSetInteger(0,vlinename,OBJPROP_SELECTABLE,false); } NavigateToSimulationPosition(); SetChartMinMax();} }//end of HideBars function void SetChartMinMax(){ int firstbar = WindowFirstVisibleBar(); int lastbar = SimulationPosition(); int lastbarwhenscrolled = WindowFirstVisibleBar()-WindowBarsPerChart(); if (lastbarwhenscrolled>lastbar){lastbar=lastbarwhenscrolled;} double highest = High[iHighest(_Symbol,_Period,MODE_HIGH,firstbar-lastbar,lastbar)]; double lowest = Low[iLowest(_Symbol,_Period,MODE_LOW,firstbar-lastbar,lastbar)]; ChartSetInteger(0,CHART_SCALEFIX,true); ChartSetDouble(0,CHART_FIXED_MAX,highest+vertical_margin*_Point); ChartSetDouble(0,CHART_FIXED_MIN,lowest-vertical_margin*_Point); } void LabelCreate(string labelname, string labeltext, int row, int column, color labelcolor){ int ylocation = row*18; int xlocation = column*10; ObjectCreate(0,labelname,OBJ_LABEL,0,0,0); ObjectSetString(0,labelname,OBJPROP_TEXT,labeltext); ObjectSetInteger(0,labelname,OBJPROP_COLOR,labelcolor); ObjectSetInteger(0,labelname,OBJPROP_FONTSIZE,10); ObjectSetInteger(0,labelname,OBJPROP_ZORDER,10); ObjectSetInteger(0,labelname,OBJPROP_BACK,false); ObjectSetInteger(0,labelname,OBJPROP_CORNER,CORNER_LEFT_UPPER); ObjectSetInteger(0,labelname,OBJPROP_ANCHOR,ANCHOR_LEFT_UPPER); ObjectSetInteger(0,labelname,OBJPROP_XDISTANCE,xlocation); ObjectSetInteger(0,labelname,OBJPROP_YDISTANCE,ylocation);} double GetHLinePrice(string name){ return ObjectGetDouble(0,name,OBJPROP_PRICE,0); } void CreateHLine(int chartid, string objectnamey, double objectprice, color linecolor, int width, int zorder, bool back, bool selected, bool selectable, string descriptionn) { ObjectDelete(chartid,objectnamey); ObjectCreate(chartid,objectnamey,OBJ_HLINE,0,0,objectprice); ObjectSetString(chartid,objectnamey,OBJPROP_TEXT,objectprice); ObjectSetInteger(chartid,objectnamey,OBJPROP_COLOR,linecolor); ObjectSetInteger(chartid,objectnamey,OBJPROP_WIDTH,width); ObjectSetInteger(chartid,objectnamey,OBJPROP_ZORDER,zorder); ObjectSetInteger(chartid,objectnamey,OBJPROP_BACK,back); ObjectSetInteger(chartid,objectnamey,OBJPROP_SELECTED,selected); ObjectSetInteger(chartid,objectnamey,OBJPROP_SELECTABLE,selectable); ObjectSetString(0,objectnamey,OBJPROP_TEXT,descriptionn); } //end of code 
submitted by Learning_2 to Forex [link] [comments]

Where to get historical intraday stock data?

I hate to ask questions that have been asked before. But I am afraid that this is one of them. I have searched the web for days now, read so many forum posts. But I can't find an answer. Most answers about historical intraday data were about sites that offer historical futures and options, but I don't need those (btw. why would you want to use options data, which is derived from the stock data, instead of the actual stock data?).
What I need is historical intraday stock data: At least S&P 500 stocks, dating back 5 years, 30 minute interval (or smaller), a weekly update, OHLC would be nice, but only one of them (close for example) would be sufficient. I need to be able to download the raw data, that means that I can't use something like Quantopian. So the data either needs to be downloadable (like a ZIP folder) or have a python API, so I can download it with the API.
I know, something like this is not free, I would be able to spent up to about $50 a month. I am still a student, so I can't afford much more than that. What I found so far is Kibot and QuantQuote.
Kibot: They seem to have a bad reputation. It seems that their stock data is either inaccurate, or incomplete. I just don't know if this still applies to the last 5 years. Since their data dates back to 1998, I could imagine that they had issues in the beginning but fixed them since they have been in business for more than 20 years. Their Standard subscription costs $49/month and includes 1 minute intraday data for all their symbols (6500 stocks, + ETFs, Futures and Forex) with a weekly update dating back 1 year. So I would also need to purchase once their historical S&P 500 data with a 30 minute interval, dating back to 1998 (I would need 2015 and up) for $150.
I can handle slightly inaccurate data (for example if the pricing is off by 0.5% or something like that), but missing data or inconsistent data (for example if instead of a constant 1min interval, it sometimes jumps multiple minutes) is a problem.
QuantQuote: They are expensive, too expensive. I would need to purchase once their S&P 500 package for $895 and then $50/month for a weekly update. They seem to offer the same as Kibot, but for a much higher price and with a higher quality (I assume).
It would help a lot, if you could say something about Kibot or Quantqote, or just about buying historical intraday data. Maybe you know better sites? Or do you know where to look or ask?
Any comment is appreciated!
submitted by rndmnewguy to Trading [link] [comments]

How to derive historical financial data for forex instrument backtesting

Hello,
If you believe backtesting strategies for forex major currency pairs is unhopeful please leave a comment with an explanation.
I'm a CS major at Columbia with internships in back office global bank infrastructure positions here in NY and have great interest in trading algorithmically because I can't trust my behavior to enter trades, among other obvious reasons.
I would like to know what the best sources are for obtaining historical data (OHLCV, etc) for (forex) backtesting purposes. Is a large excel file used in practice, or are historical prices derived via API's? It seems that I need to pay after some research online, but I know you redditors can deliver.

edit
I found a free source here for EURUSD. There are other pairs available too.
submitted by Reciprocates to algotrading [link] [comments]

Download historical exchange rates

Howdy!
I've been trying to build into my spreadsheet a way to download historical foreign exchange rate, but so far no luck. I've found this link with a spreadsheet downloading info from an Ohana website, but apparently it doesn't work anymore. (Or it's now a paid service which doesn't work for me either way)
Any ideas on how to do this?
EDIT: So, just as an addendum to my issue, this spreadsheet will be opened once every other week (maybe), but every time it opens it needs to update with all the exchange rates from the passed days.
My current code that sort of works
 Sub GetData() Dim str As String Dim iRow As Integer Dim rngCambio As Range Set DataSheet = Worksheets("CAMBIO") Application.ScreenUpdating = False Application.DisplayAlerts = False Application.Calculation = xlCalculationManual QueryQuote: With Sheets("CAMBIO").QueryTables.Add(Connection:="URL;https://www.currency-converter.org.uk/currency-rates/historical/table/EUR-RON.html", Destination:=Sheets("CAMBIO").Range("a1")) .BackgroundQuery = True .TablesOnlyFromHTML = False .Refresh BackgroundQuery:=False .SaveData = True End With ActiveSheet.Hyperlinks.Delete Range("A1,C1,E1").EntireColumn.Delete Range("A1:A66").EntireRow.Delete iRow = Range("B:B").Cells.Find(What:="", SearchOrder:=xlRows, SearchDirection:=xlNext, LookIn:=xlValues).Row - 1 Set rngCambio = Range("B1", "B" & iRow) For Each Cell In rngCambio Cell.Value = Left(Cell.Value, InStr(Cell.Value, " ") - 1) Next Cell 
End Sub
submitted by NickNunes26 to excel [link] [comments]

stock marketing full guide 2019

stock marketing full guide 2019
stock market

What's the Stock Market? full guide.

The inventory market refers back to the assortment of markets and exchanges the place common actions of shopping for, promoting, and issuance of shares of publicly-held firms happen. Such monetary actions are performed by way of institutionalized formal exchanges or over-the-counter (OTC) marketplaces which function underneath an outlined set of laws. There may be a number of inventory buying and selling venues in a rustic or an area which permit transactions in shares and different types of securities.
Whereas each phrase - inventory market and inventory alternate - are used interchangeably, the latter time period is usually a subset of the previous. If one says that she trades within the inventory market, it implies that she buys and sells shares/equities on one (or extra) of the inventory alternate(s) which are a part of the general inventory market. The main inventory exchanges within the U.S. embrace the New York Stock Exchange (NYSE), Nasdaq, the Higher Different Buying and selling System (BATS). and the Chicago Board Options Exchange (CBOE). These main nationwide exchanges, together with a number of different exchanges working within the nation, type the inventory market of the U.S.
Although it's known as an inventory market or fairness market and is primarily identified for buying and selling shares/equities, different monetary securities - like exchange-traded funds (ETF), corporate bonds and derivatives primarily based on shares, commodities, currencies, and bonds - are additionally traded within the inventory markets.

Read also.

Inventory Market

Understanding the Inventory Market

Whereas right this moment it's potential to buy nearly every part online, there's often a delegated marketplace for each commodity. For example, folks drive to metropolis outskirts and farmlands to buy Christmas bushes, go to the native timber market to purchase wooden and different obligatory materials for house furnishings and renovations, and go to shops like Walmart for his or her common grocery provides.
Such devoted markets function a platform the place quite a few patrons and sellers meet, work together and transact. For the reason that a variety of market individuals is large, one is assured of good worth. For instance, if there is just one vendor of Christmas bushes in your complete metropolis, he could have the freedom to cost any worth he pleases because the patrons gained’t have wherever else to go. If the variety of tree sellers is massive in a standard market, they must compete in opposition to one another to draw patrons. The patrons can be spoiled for selection with low- or optimum-pricing making it a good market with worth transparency. Even whereas buying online, patrons examine costs supplied by totally different sellers on the identical buying portal or throughout totally different portals to get one of the best offers, forcing the assorted online sellers to supply one of the best worth.
An inventory market is an identical designated marketplace for buying and selling numerous sorts of securities in a managed, safe and managed the atmosphere. For the reason that inventory market brings collectively a whole bunch of hundreds of market individuals who want to purchase and promote shares, it ensures honest pricing practices and transparency in transactions. Whereas earlier inventory markets used to situation and deal in paper-based bodily share certificates, the fashionable day computer-aided inventory markets function electronically.

How the Inventory Market Works

In a nutshell, inventory markets present a safe and controlled atmosphere the place market individuals can transact in shares and different eligible monetary devices with confidence with zero- to low-operational danger. Working underneath the outlined guidelines as acknowledged by the regulator, the inventory markets act as primary markets and as secondary markets.
As the main market, the inventory market permits firms to the situation and promote their shares to the wider public for the primary time by way of the method of initial public offerings (IPO). This exercise helps firms increase obligatory capital from traders. It primarily implies that an organization divides itself into quite a few shares (say, 20 million shares) and sells part of these shares (say, 5 million shares) to the wider public at a worth (say, $10 per share).
To facilitate this course of, an organization wants a market the place these shares may be offered. This market is offered by the inventory market. If every part goes as per the plans, the corporate will efficiently promote the 5 million shares at a worth of $10 per share and acquire $50 million value of funds. Traders will get the corporate shares which they will anticipate to carry for his or her most well-liked length, in anticipation of rising in share worth and any potential revenue within the type of dividend funds. The inventory alternate acts as a facilitator for this capital elevating course of and receives a charge for its providers from the corporate and its monetary companions.
Following the first-time share issuance IPO train known as the itemizing course of, the inventory alternate additionally serves because the buying and selling platform that facilitates common shopping for and promoting of the listed shares. This constitutes the secondary market. The inventory alternate earns a charge for each commerce that happens on its platform in the course of the secondary market exercise.
The inventory alternate shoulders the accountability of making certain price transparency, liquidity, price discovery and honest dealings in such buying and selling actions. As nearly all main inventory markets throughout the globe now function electronically, the alternate maintains buying and selling techniques that effectively handle the purchase and promote orders from numerous market individuals. They carry out the worth matching operate to facilitate commerce execution at a worth honest to each patron and sellers.
A listed firm can also supply new, extra shares by way of different choices at a later stage, like by way of rights issue or by way of follow-on offers. They could even buyback or delist their shares. The inventory alternate facilitates such transactions.
The inventory alternate usually creates and maintains numerous market-level and sector-specific indicators, just like the S&P 500 index or Nasdaq 100 index, which give a measure to trace the motion of the general market.
The inventory exchanges additionally preserve all firm information, bulletins, and monetary reporting, which may be often accessed on their official web sites. An inventory alternate additionally helps numerous different corporate-level, transaction-related actions. For example, worthwhile firms might reward traders by paying dividends which often comes from the part of the corporate’s earnings. The alternate maintains all such data and will assist its processing to a sure extent.

Features of an Inventory Market

An inventory market primarily serves the next features:
Truthful Dealing in Securities Transactions: Relying on the usual rules of demand and supply, the inventory alternate wants to make sure that all market individuals have instantaneous entry to information for all purchase and promote orders thereby serving to within the honest and clear pricing of securities. Moreover, it also needs to carry out environment-friendly matching of acceptable purchase and promote orders.
For instance, there could also be three patrons who've positioned orders for purchasing Microsoft shares at $100, $105 and $110, and there could also be 4 sellers who're keen to promote Microsoft shares at $110, $112, $115 and $120. The alternate (by way of their pc operated automated buying and selling techniques) wants to make sure that one of the best purchase and greatest promote are matched, which on this case is at $110 for the given amount of commerce.
Environment-friendly Value Discovery: Inventory markets must assist an environment-friendly mechanism for worth discovery, which refers back to the act of deciding the correct worth of a safety and is often carried out by assessing market provide and demand and different components related to the transactions.
Say, a U.S.-based software program firm is buying and selling at a worth of $100 and has a market capitalization of $5 billion. Information merchandise is available in that the EU regulator has imposed a wonderful of $2 billion on the corporate which primarily implies that 40 % of the corporate’s worth could also be worn out. Whereas the inventory market might have imposed a buying and selling worth vary of $90 and $110 on the corporate’s share worth, it ought to effectively change the permissible buying and selling worth restrict to accommodate for the potential adjustments within the share worth, else shareholders might battle to commerce at a good worth.
Liquidity Upkeep: Whereas getting the variety of patrons and sellers for a specific monetary safety are uncontrolled for the inventory market, it wants to make sure that whosoever is certified and keen to commerce will get instantaneous entry to position orders which ought to get executed on the honest worth.
Safety and Validity of Transactions: Whereas extra individuals are vital for environment-friendly working of a market, the identical market wants to make sure that all individuals are verified and stay compliant with the required guidelines and laws, leaving no room for default by any of the events. Moreover, it ought to make sure that all related entities working out there should additionally adhere to the principles, and work inside the authorized framework given by the regulator.
Help All Eligible Kinds of Contributors: A market is made by quite a lot of individuals, which embrace market makers, traders, merchants, speculators, and hedgers. All these individuals function within the inventory market with totally different roles and features. For example, an investor might purchase shares and maintain them for long run spanning a few years, whereas a dealer might enter and exit a place inside seconds. A market maker gives obligatory liquidity out there, whereas a hedger might prefer to commerce in derivatives for mitigating the danger concerned in investments. The inventory market ought to make sure that all such individuals are capable of function seamlessly fulfilling their desired roles to make sure the market continues to function effectively.
Investor Safety: Together with rich and institutional traders, a really massive variety of small traders are additionally served by the inventory marketplace for their small quantity of investments. These traders might have restricted monetary information, and will not be totally conscious of the pitfalls of investing in shares and different listed devices. The inventory alternate should implement obligatory measures to supply the required safety to such traders to protect them from monetary loss and guarantee buyer belief.
For example, an inventory alternate might categorize shares in numerous segments relying on their danger profiles and permit restricted or no buying and selling by widespread traders in high-risk shares. Derivatives, which have been described by Warren Buffett as monetary weapons of mass destruction, aren't for everybody as one might lose far more than they guess for. Exchanges usually impose restrictions to forestall people with restricted revenue and information from entering into dangerous bets of derivatives.
Balanced Regulation: Listed firms are largely regulated and their dealings are monitored by market regulators, just like the Securities and Exchange Commission (SEC) of the U.S. Moreover, exchanges additionally mandate sure necessities – like, well timed submitting of quarterly monetary stories and instantaneous reporting of any related developments - to make sure all market individuals grow to be conscious of company happenings. Failure to stick to the laws can result in the suspension of buying and selling by the exchanges and different disciplinary measures.

Regulating the Inventory Market

An area monetary regulator or competent financial authority or institute is assigned the duty of regulating the inventory market of a rustic. The Securities and Alternate Fee (SEC) is the regulatory physique charged with overseeing the U.S. inventory markets. The SEC is a federal company that works independently of the federal government and political strain. The mission of the SEC is acknowledged as: "to guard traders, preserve honest, orderly, and environment-friendly markets, and facilitate capital formation."

Inventory Market Contributors

Together with long-term traders and brief time period merchants, there are a lot of several types of gamers related to the inventory market. Everyone has a singular function, however, lots of the roles are intertwined and rely on one another to make the market run successfully.
  • Stockbrokers, also called registered representatives within the U.S., are the licensed professionals who purchase and promote securities on behalf of traders. The brokers act as intermediaries between the inventory exchanges and the traders by shopping for and promoting shares on the traders' behalf. An account with a retail dealer is required to realize entry to the markets.
  • Portfolio managers are professionals who make investments portfolios, or collections of securities, for purchasers. These managers get suggestions from analysts and make the purchase or promote choices for the portfolio. Mutual fund firms, hedge funds, and pension plans use portfolio managers to make choices and set the funding methods for the cash they maintain.
  • Investment bankers characterize firms in numerous capacities, comparable to personal firms that wish to go public through an IPO or firms which are concerned in pending mergers and acquisitions. They care for the itemizing course of in compliance with the regulatory necessities of the inventory market.
  • Custodian and depot service suppliers, that are establishment holding prospects' securities for safekeeping in order to reduce the danger of their theft or loss, additionally function in sync with the alternative to switch shares to/from the respective accounts of transacting events primarily based on buying and selling on the inventory market.
  • Market maker: A market maker is a broker-dealer who facilitates the buying and selling of shares by posting bid and ask costs together with sustaining a listing of shares. He ensures adequate liquidity out there for a specific (set of) share(s), and income from the distinction between the bid and the ask worth he quotes.

How Inventory Exchanges Make Cash

Inventory exchanges function as for-profit institutes and cost a charge for his or her providers. The first supply of revenue for these inventory exchanges are the revenues from the transaction charges which are charged for every commerce carried out on its platform. Moreover, exchanges earn income from the itemizing charge charged to firms in the course of the IPO course of and different follow-on choices.
The alternate additionally earn from promoting market information generated on its platform - like real-time information, historical information, abstract information, and reference information – which is significant for fairness analysis and different makes use of. Many exchanges will even promote know-how merchandise, like a buying and selling terminal and devoted community connection to the alternate, to the events for an acceptable charge.
The alternate might supply privileged providers like high-frequency trading to bigger purchasers like mutual funds and asset management companies (AMC), and earn cash accordingly. There are provisions for regulatory charge and registration charge for various profiles of market individuals, just like the market maker and dealer, which type different sources of revenue for the inventory exchanges.
The alternate additionally make income by licensing their indexes (and their methodology) that are generally used as a benchmark for launching numerous merchandise like mutual funds and ETFs by AMCs.
Many exchanges additionally present programs and certification on numerous monetary matters to trade individuals and earn revenues from such subscriptions.

Competitors for Inventory Markets

Whereas particular person inventory exchanges compete in opposition to one another to get most transaction quantity, they're dealing with menace on two fronts.
Darkish Swimming pools: Dark pools, that are personal exchanges or boards for securities buying and selling and function inside personal teams, are posing a problem to public inventory markets. Although their authorized validity is topic to native laws, they're gaining a reputation as individuals save massive on transaction charges.
Blockchain Ventures: Amid rising reputation of blockchains, many crypto exchanges have emerged. Such exchanges are venues for buying and selling cryptocurrencies and derivatives related to that asset class. Although their reputation stays restricted, they pose a menace to the standard inventory market mannequin by automating a bulk of the work completed by numerous inventory market individuals and by providing zero- to low-cost providers.

Significance of the Inventory Market

The inventory market is among the most significant parts of a free-market economic system.
It permits firms to lift cash by providing inventory shares and company bonds. It lets widespread traders take part within the monetary achievements of the businesses, make income by way of capital gains, and earn cash by way of dividends, though losses are additionally potential. Whereas institutional traders {and professional} cash managers do get pleasure from some privileges owing to their deep pockets, higher information and better danger taking skills, the inventory market makes an attempt to supply a stage taking part in subject to widespread people.
The inventory market works as a platform by way of which financial savings and investments of people are channelized into the productive funding proposals. In the long run, it helps in capital formation & financial progress for the nation.

KEY TAKEAWAYS

  • Inventory markets are very important parts of a free-market economic system as a result of they permit democratized entry to buying and selling and alternate of capital for traders of all types.
  • They carry out a number of features in markets, together with environment-friendly worth discovery and environment-friendly dealing.
  • Within the US, the inventory market is regulated by the SEC and native regulatory our bodies.

Examples of Inventory Markets

The primary inventory market on the planet was the London inventory alternate. It was begun in a coffeehouse, the place merchants used to satisfy to alternate shares, in 1773. The primary inventory alternate in the USA of America began in Philadelphia in 1790. The Buttonwood settlement, so named as a result of it was signed underneath a buttonwood tree, marked the beginnings of New York's Wall Avenue in 1792. The settlement was signed by 24 merchants and was the primary American group of its type to commerce in securities. The merchants renamed their enterprise as New York Inventory and Alternate Board in 1817.
submitted by Red-its to forexinfo [link] [comments]

Looking for Beta Users for Groundbreaking P2P Swap Trading System, Maximum Leverage, Minimum Risk, All Markets

I'm looking for traders to take positions (either in agreement with, or contrary to) my research/opinion or using your own trade setups and fundamental/macro outlook - via our P2P swap platform. You can use actual capital or I can give you test capital, basically, play money, to trade with me and my team and all I ask for is feedback on the system and the ability to quote you (which is not mandatory, but it would be nice). You can trade stocks, bonds, commodities, forex and forex pairs long or short, or swap the exposures directly for another asset, ex. S&P 500 for the LSE 100, Apple for Google, etc. Fees start at 5 bp, the best available from anywhere. Digital leverage is available, up to 10,000x worth (double digit profits/losses can be had from 11 basis points in movement, or less - so be careful), with no possibility of a Margin Call since the trades are pre-funded. If you think the opportunity is worthwhile, feel free to contact us or see info sheet below for more...
Macro Trading Has a New Power Tool: Peer to Peer, Counterparty Risk-Free Swaps for Value Transfer & Trading
Trade the value of over 45,000 tickers of instruments in every asset class from every major geography and exchange with up to 10,000x pricing leverage without concerns of counterparty/credit/default risk or margin calls. Very big claims… substantiated by a very big discovery in value transfer and security.
Veritaseum is the worldwide leader in the financial implementation of “smart contracts” – unbreakable, self-executing bilateral agreements between two or more parties. We use these smart contracts to create peer to peer swaps for the transfer of value through the “blockchain,” a worldwide, open ledger of pseudonymous transactions that can be seen and audited by anyone, any time in the cloud. The blockchain is considered unhackable and one of the most secure implementations of cryptography to date.
With the use of financial “wallets”, client side applications that use a simple interface to guide users in the quick (as in minutes – enter ticker(s), amount to risk, collateral, expiry and leverage required) creation of a smart contract (in this case a P2P swap), users trade OTC directly with other parties – totally bypassing and intermediating exchanges, with even less risk. Monetary value is committed up front, a leverage factor is digitally dialed in (anywhere from 2x to 10,000x) and the smart contract is created and sent to the blockchain to await a match. Once matched, the funds are locked into the transaction until expiry, at which point profits and losses are distributed along with principal and unused collateral (the capital chosen to be put at risk). A novel, risk averse, extremely powerful, and quite frankly - ingenious way to trade macro strategies.
Not only can one go long or short any ticker in any asset class from any region for any currency, one can go long one ticker relative to another. For instance, those with a bearish outlook on the S&P 500 normally short it for USD. You can now short (pay) the S&P 500 index directly while going long (receiving) Eurozone equities (or 10 year treasury yields, or Swiss francs or the CNYJPY pair or bitocin), in a single transaction – with or out without leverage.
Since the exchange is peer to peer, we never hold or control any of your assets, hence you are not exposed to our balance sheet, credit, default or counterparty risks (the blockchain is your effective counterparty). Veritaseum is a software concern, not a financial concern or intermediary! You can always track your assets and trade through the blockchain at any time. The capital is loaded in the wallet in the form of bitcoin, and for those who choose to minimize exposure to bitcoin market price volatility, leverage can be used to nearly eliminate the noise. You can also conduct trades using a demo mode and test coins, so as to use the system without risking actual capital.

Smart Contracts as Transaction Vehicles: The Safest Possible Way To Exchange Value

Veritaseum's UltraCoin smart contracts are: 1. highly flexible - you design your own derivatives yourself using your own parameters via our simple graphical user interface 2. self-executing 3. autonomous 4. unbreachable: we call them, the unbreakable promise! They are backed, fortified and stored by/on the blockchain itself 5. uber-transparent: simple click the "trace transaction" button to find the location and historical travel path of your assets anytime, from anywhere you have an internet connection

Trading Through a Balance Sheet-Based Financial Institution vs. Distributed, Decentralized, P2P Software Concern

What I do want to accomplish is the education through the fact that the Bitcoin protocol has given rise to the genesis of a new type of company, with a new business model that can offer a totally new type of product. As you were able to see from above, Veritaseum's UltraCoin offers a very uniquer product with many if not all of the attributes that potential competitors offer, with a slew of attributes that others can't touch. This is done at 1/5th of the price and at much less risk! When dealing with Veritaseum's UltraCoin, you can never get Gox'd because we never have (nor do we want) possession of your coins or fiat - every, at any time. Because we don't user our balance sheet (we are a software company, not a centralized exchange or brokedealer) you:
This is just the beginning of what is capable with our Internet 2.0 business models.
I implore you to download our:
There's also a lot of BTC industry research available for download as well as our blog which has some of the best fundamental and macro research available on the web. Hardcore traders, investors and speculators should check out my latest piece: It's All Out War, Pt 3: Is the Danish Krone Peg to Euro More Fragile Than Glass Beads? The Danish National Bank Infers So!
Any individuals or entities looking to provide liquidity to the system, individuals/companies who wish to partner, accredited investors looking for a piece of the action (you have to be willing to sign and NDA, we are quite open to working with anybody), or those who simply want to shoot the breeze should feel free to contact us.
An example of an UltraCoin smart contract summary
Here's some info about me, my team and what we're doing at Veritaseum:
Cordially, Reggie Middleton CEO, VeritaseumTM Inc.
submitted by Reggie-Middleton to investing [link] [comments]

What is the best source of minute historical data?

I am thinking from minute to minute, many years back.
Thanks!
edit:
currency rates
I found this and seems to average about 2 values per minute
http://www.histdata.com/download-free-forex-historical-data/?/ninjatrade1-minute-bar-quotes/EURGBP
What do you guys think?
submitted by Oddstrider to Forex [link] [comments]

Getting Free Stock Data via the IEX API Understanding Forex Quotes Investopedia Videos Financial Management - Forex - Exchange Rate quotes Finance in Excel 2 - Import and Chart Historical Stock ... Automatically Download Stock Metrics data from Yahoo ... Seven Awesome and Inspirational Quotes for Every Trader and Investor Download data from yahoo finance - YouTube Top 13 Motivational Forex Quotes: Global Currenciez How to download historical data, option chains and reports ...

Forex historical data for all major currency pairs.Historical data for Forex can be found by scrolling down in the box below the stock tickers. Select your prefered time frame for your data,monthly data, daily data or intraday data.Historical data can also be found for Crude Oil,Indices and Many U.S and U.K Stocks. Data is free to download. If you want to download intraday Forex data to use with QuantShare or for external use then here a list of websites that allow you to export historical quotes for several currencies for free. Each website allows downloading rates in one or several periods and depending on the provider, data spans from few days to several years. View and compare forex,historical,DATA,excel,download on Yahoo Finance. For a more convenient access you can Download the Forex Historical Data by FTP. Get your FTP or SFTP access, via PayPal, here: For more details: Download by FTP DataFiles Last Updated at: 2020-08-31 22:00. Get Automatic Updates! You can get the Forex Historical Data Automatic Updates using Google Drive! Subscribe, via PayPal, here: Select File Format: GoogleDrive/GMail Address: For more ... Download End of Day FOREX Stock Data, Intraday Data and Historical Quotes. The worlds #1 website for end of day & historical stock data wide range of exchanges, data formats, tools and services Main Nav HOME PRODUCTS & SERVICES HOW TO SUPPORT ABOUT MY ACCOUNT. Sub Nav Home Page Download ... Historical Forex data delivered in ASCII text files for easy integration ... and the ability to make the data available for download after markets close each day. Every provider we use meets our high standards for completeness and accuracy. Available Intervals For all Forex pairs, we offer tick-by-tick quote data. This provides clients with the ability to analyze every single Level I bid and ... There are a few ways to download historical Forex data. I provide my latest finds on the Resources page. Most quality sources provide data back to about 2001. If you can find clean data sources that go back further than that, let me know in the comments below. But for all intents and purposes, 14+ years of data is good for most testing purposes. I would list the data sources here, but blog ...

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Getting Free Stock Data via the IEX API

https://globalcurrenciez.com Forex motivation is important for maintaining consistent efforts in the most brutal financial market in the world. These 13 quot... This Video explains the Different currency quotes in foreign Exchange Management in Financial Management. This video will be helpful for CA, CS, CMA Students. Premium Course: https://www.teachexcel.com/premium-courses/68/idiot-proof-forms-in-excel?src=youtube Learn how to Import and quickly Chart historical stock p... In today's video I share 7 awesome and inspirational quotes for every trader and investor. These quotes have the power to turn around your day trading and swing trading! This demo video shows how to download historical data, option chains, balances, orders/ transactions and positions reports in TraderXL for TD Ameritrade This feature is not available right now. Please try again later. This video demonstrates downloading stock prices from yahoo finance This video will cover how to automatically pull in stock metrics data for a list of ticker symbols. There are at least 75 different metrics that you can pull... Example Using Free Stock Quote API by iexfinance.com in Python - Duration: 4 ... 10.4: Loading JSON data from a URL (Asynchronous Callbacks!) - p5.js Tutorial - Duration: 19:29. The Coding Train ...

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