Forex Tester Historical Data. Paid Tick Data For Backtesting
Historical Data

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Detailed comparison of
Basic Data and Super Data

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Forex Tester &
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Saving and loading Projects
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No way to save and load projects

You have 1 hour of uninterrupted testing in the free trial version of Forex Tester and you cannot save projects. The ability to save projects in the full version of Forex Tester lets you resume testing anytime you need and get back to your testing results.

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Unlimited saving and loading

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Unlimited saving and loading

Testing duration

1 hour of uninterrupted testing

unlimited

Unlimited testing time

unlimited

Unlimited testing time

1 month of data for backtesting

23 years of medium quality real historical data

Up to 23 years of premium* quality historical data

* - We control the quality of historical data and provide only those data intervals that we are 100% sure of, regarding both minute and tick data.

Historical data for testing

Total 18 symbols

Total 18 symbols

Total 860 symbols

x

No tick data

x

No tick data

Tick data of high and premium quality

Forex tick data shows the real non-simplified market conditions. If the price changed 45 times during the current candlestick then you need to see all those changes. 1-min data will only show 4 prices to you: open, high, low, and close. With Forex tick data you will also get that specific feeling as if you are trading online. This is a crucial factor in your psychological growth as a trader.

x

No floating spread

x

No floating spread

Floating spread included

Not only do the price and volumes change on the Forex market, but the spread tends to be different depending on the varying circumstances on the market. Before and especially during big news the spread can become altered significantly. You might learn the simplified version of Forex, then go to a real market and find out that your version has nothing to deal with reality.

Monthly data updates

Monthly data updates

Daily data updates

Only USD-related news (high priority)

Only USD-related news (high priority)

News for 9 currencies (high, medium, low priorities)

We have added a historical news service for those traders who use fundamental analysis as an additional source of information for their predictions in order to bring the test results as close as possible to reality. You can find news (high, medium, and low impact) for 9 currencies (AUD, CAD, CHF, CNY, EUR, GBP, JPY, NZD, USD) in the full version of Forex Tester.

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x

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x

Majors - 7 pairs, medium quality

EURUSD
1 month of data for backtesting
GBPUSD
1 month of data for backtesting
NZDUSD
1 month of data for backtesting
USDCAD
1 month of data for backtesting
USDCHF
1 month of data for backtesting
USDJPY
1 month of data for backtesting
AUDUSD
1 month of data for backtesting

Majors - 7 pairs, medium quality

EURUSD
Jan 1, 2001 Yesterday
GBPUSD
Jan 1, 2001 Yesterday
NZDUSD
Jan 1, 2001 Yesterday
USDCAD
Jan 1, 2001 Yesterday
USDCHF
Jan 1, 2001 Yesterday
USDJPY
Jan 1, 2001 Yesterday
AUDUSD
Jan 1, 2001 Yesterday

Majors - 7 pairs, premium* quality

EURUSD
May 6, 2003 Yesterday
GBPUSD
May 6, 2003 Yesterday
NZDUSD
Aug 5, 2003 Yesterday
USDCAD
Aug 5, 2003 Yesterday
USDCHF
May 6, 2003 Yesterday
USDJPY
May 6, 2003 Yesterday
AUDUSD
Oct 1, 2009 Yesterday
  • · No data
  • · 1-minute data, medium quality since Jan 1, 2001
  • · 1-minute and tick data, premium* quality

* - We control the quality of historical data and provide only those data intervals that we are 100% sure of, regarding both minute and tick data.

Crosses - 9 pairs, medium quality

AUDJPY
1 month of data for backtesting
CHFJPY
1 month of data for backtesting
EURCAD
1 month of data for backtesting
EURCHF
1 month of data for backtesting
EURGBP
1 month of data for backtesting
EURJPY
1 month of data for backtesting
GBPCHF
1 month of data for backtesting
GBPJPY
1 month of data for backtesting
NZDJPY
1 month of data for backtesting

Crosses - 9 pairs, medium quality

AUDJPY
Jan 1, 2001 Yesterday
CHFJPY
Jan 1, 2001 Yesterday
EURCAD
Jan 1, 2001 Yesterday
EURCHF
Jan 1, 2001 Yesterday
EURGBP
Jan 1, 2001 Yesterday
EURJPY
Jan 1, 2001 Yesterday
GBPCHF
Jan 1, 2001 Yesterday
GBPJPY
Jan 1, 2001 Yesterday
NZDJPY
Jan 1, 2001 Yesterday

Crosses - 29 pairs, premium* quality

AUDCAD
Jan 1, 2009 Yesterday
AUDJPY
Dec 2, 2003 Yesterday
AUDNZD
Dec 13, 2006 Yesterday
CADJPY
Jul 19, 2005 Yesterday
CHFJPY
Aug 5, 2003 Yesterday
EURAUD
Apr 20, 2007 Yesterday
EURCAD
Oct 26, 2004 Yesterday
EURCHF
Aug 5, 2003 Yesterday
EURGBP
Aug 5, 2003 Yesterday
EURJPY
Aug 5, 2003 Yesterday
GBPCHF
Aug 15, 2003 Yesterday
GBPJPY
Aug 5, 2003 Yesterday
AUDCHF
Mar 2, 2006 Yesterday
CADCHF
Jan 4, 2006 Yesterday
EURNZD
Jan 4, 2006 Yesterday
GBPAUD
Mar 23, 2006 Yesterday
GBPCAD
Jan 4, 2006 Yesterday
GBPNZD
Jan 4, 2006 Yesterday
NZDJPY
Jan 4, 2006 Yesterday
NZDCAD
Jan 4, 2006 Yesterday
NZDCHF
Jan 4, 2006 Yesterday
EURNOK
Nov 2, 2010 Yesterday
EURSEK
Nov 2, 2010 Yesterday
CHFZAR
Mar 18, 2018 Yesterday
GBPHKD
Dec 17, 2018 Yesterday
GBPPLN
Dec 17, 2018 Yesterday
GBPSGD
Dec 17, 2018 Yesterday
GBPZAR
Dec 17, 2018 Yesterday
AUDGBP
Mar 18, 2018 Yesterday
  • · No data
  • · 1-minute data, medium quality since Jan 1, 2001
  • · 1-minute and tick data, premium* quality

* - We control the quality of historical data and provide only those data intervals that we are 100% sure of, regarding both minute and tick data.

x

No Exotic

x

No Exotic

Exotic - 95 pairs, premium* quality

USDTRY
Mar 14, 2007 Yesterday
USDDKK
Aug 5, 2003 Yesterday
USDSGD
Aug 13, 2010 Yesterday
EURDKK
Oct 26, 2004 Yesterday
USDMXN
Mar 14, 2007 Yesterday
USDHKD
Mar 14, 2007 Yesterday
USDPLN
Mar 14, 2007 Yesterday
USDCZK
Jan 5, 2016 Yesterday
USDZAR
Aug 5, 2003 Yesterday
AUDSGD
Mar 15, 2007 Yesterday
CADHKD
Apr 1, 2007 Yesterday
CHFSGD
Jun 5, 2007 Yesterday
EURHKD
Mar 14, 2007 Yesterday
EURPLN
Mar 15, 2007 Yesterday
EURSGD
Mar 14, 2007 Yesterday
EURTRY
Mar 14, 2007 Yesterday
HKDJPY
Mar 14, 2007 Yesterday
SGDJPY
Mar 14, 2007 Yesterday
USDNOK
Aug 5, 2003 Yesterday
USDRUB
Mar 14, 2007 Yesterday
USDSEK
Aug 5, 2003 Yesterday
CHFNOK
Dec 17, 2018 Yesterday
CHFSEK
Nov 19, 2014 Feb 20, 2015
EURCZK
Jan 5, 2016 Yesterday
EURHUF
Mar 15, 2007 Yesterday
GBPSEK
Dec 17, 2018 Yesterday
NOKJPY
Dec 17, 2018 Yesterday
SEKJPY
Mar 18, 2018 Yesterday
TRYJPY
May 11, 2010 Yesterday
USDCNH
Jun 28, 2012 Yesterday
USDHUF
Mar 14, 2007 Yesterday
ZARJPY
Jun 5, 2007 Yesterday
CHFPLN
Mar 15, 2007 Nov 30, 2018
EURMXN
Dec 17, 2018 Yesterday
EURRUB
Mar 14, 2007 Yesterday
EURZAR
Mar 14, 2007 May 20, 2016
MXNJPY
Jun 5, 2007 Jan 16, 2015
NZDSGD
Mar 18, 2018 Yesterday
SGDHKD
Dec 17, 2018 Yesterday
USDTHB
Feb 14, 2017 Yesterday
USDILS
Dec 16, 2016 Yesterday
AUDDKK
Apr 1, 2013 Yesterday
AUDNOK
Dec 17, 2018 Yesterday
AUDSEK
Jun 1, 2019 Yesterday
AUDZAR
Mar 18, 2018 Yesterday
CADNOK
Dec 17, 2018 Yesterday
CHFDKK
Mar 18, 2018 Yesterday
DKKJPY
Mar 18, 2018 Yesterday
DKKSGD
Mar 18, 2018 Yesterday
DKKZAR
Mar 18, 2018 Yesterday
GBPDKK
Dec 17, 2018 Yesterday
GBPNOK
Dec 17, 2018 Yesterday
NOKDKK
Dec 17, 2018 Yesterday
NOKSEK
Dec 17, 2018 Yesterday
NZDDKK
Mar 18, 2018 Yesterday
NZDNOK
Mar 18, 2018 Yesterday
NZDSEK
Mar 18, 2018 Yesterday
NZDZAR
Mar 18, 2018 Yesterday
SEKDKK
Mar 18, 2018 Yesterday
SEKNOK
Mar 18, 2018 Yesterday
AUDCZK
Mar 18, 2018 Yesterday
AUDHUF
Mar 18, 2018 Yesterday
AUDMXN
Mar 18, 2018 Yesterday
AUDPLN
Dec 17, 2018 Yesterday
AUDTRY
Mar 18, 2018 Yesterday
CADCZK
Mar 18, 2018 Yesterday
CADMXN
Mar 18, 2018 Yesterday
CADPLN
Dec 17, 2018 Yesterday
CADTRY
Mar 18, 2018 Yesterday
CHFHUF
Dec 17, 2018 Yesterday
CHFMXN
Mar 18, 2018 Yesterday
CHFTRY
Mar 18, 2018 Yesterday
CZKPLN
Mar 18, 2018 Yesterday
DKKCZK
Mar 18, 2018 Yesterday
DKKHUF
Mar 18, 2018 Yesterday
DKKPLN
Mar 18, 2018 Yesterday
GBPHUF
Mar 18, 2018 Yesterday
GBPILS
Mar 18, 2018 Yesterday
GBPMXN
Dec 17, 2018 Yesterday
GBPTRY
Mar 18, 2018 Yesterday
HUFJPY
Mar 18, 2018 Yesterday
NZDTRY
Mar 18, 2018 Yesterday
TRYZAR
Mar 18, 2018 Yesterday
USDEGP
Mar 18, 2018 Yesterday
USDKRW
Mar 18, 2018 Yesterday
USDRON
Dec 20, 2016 Yesterday
USDBYR
Jun 1, 2013 Jun 30, 2016
USDINR
Mar 18, 2018 Yesterday
AUDCNH
Dec 17, 2018 Yesterday
CNHJPY
Dec 17, 2018 Yesterday
EURCNH
Dec 17, 2018 Yesterday
EURRON
Dec 17, 2018 Yesterday
USDBRL
Mar 18, 2018 Yesterday
USDARS
Mar 18, 2018 Yesterday
USDPHP
Mar 18, 2018 Yesterday
  • · No data
  • · 1-minute and tick data, premium* quality

* - We control the quality of historical data and provide only those data intervals that we are 100% sure of, regarding both minute and tick data.

x

No Commodities

x

No Commodities

Commodities - 22 pairs, premium* quality

NGAS
Nov 19, 2014 Yesterday
UKOIL
Nov 19, 2014 Yesterday
USOIL
Nov 19, 2014 Yesterday
CORN
Nov 19, 2014 Yesterday
COTTON
Nov 19, 2014 Yesterday
HTGOIL
Nov 19, 2014 Yesterday
SOYBEAN
Dec 1, 2017 Yesterday
SUGAR
Nov 19, 2014 Yesterday
USNATG
Nov 19, 2014 Yesterday
WHEAT
Nov 19, 2014 Yesterday
GAS
Sep 4, 2012 Yesterday
LIGHT
Jan 2, 2013 Yesterday
LIGHTCRUDE
Sep 1, 2007 Yesterday
GASOLINE
Mar 1, 2011 Yesterday
HEATINGOIL
May 1, 2010 Yesterday
BRENT
Dec 3, 2010 Yesterday
#COCOA
Oct 21, 2017 Yesterday
#COFFEE
Dec 5, 2017 Yesterday
#COTTON
Oct 21, 2017 Yesterday
#DIESEL
Dec 27, 2017 Yesterday
#OJUICE
Oct 21, 2017 Yesterday
#SUGAR
Oct 3, 2017 Yesterday
  • · No data
  • · 1-minute and tick data, premium* quality

* - We control the quality of historical data and provide only those data intervals that we are 100% sure of, regarding both minute and tick data.

Metals - 2 pairs, medium quality

XAUUSD
1 month of data for backtesting
XAGUSD
1 month of data for backtesting

Metals - 2 pairs, medium quality

XAUUSD
Jan 1, 2001 Yesterday
XAGUSD
Jan 1, 2001 Yesterday

Metals - 20 pairs, premium* quality

GOLD
Jan 1, 2014 Yesterday
SILVER
Jan 1, 2014 Yesterday
XAUUSD
May 6, 2003 Yesterday
XAGUSD
May 6, 2003 Yesterday
COPPER
Mar 5, 2012 Yesterday
XPDUSD
Nov 19, 2014 Jun 3, 2016
XPTUSD
Nov 19, 2014 Jun 3, 2016
PALLAD
May 1, 2017 Yesterday
PLAT
Nov 19, 2014 Yesterday
XAUAUD
Mar 1, 2010 Yesterday
XAUCHF
Jan 1, 2014 Yesterday
XAUEUR
Mar 1, 2010 Yesterday
XAUGBP
Mar 1, 2010 Yesterday
XAUJPY
Nov 19, 2014 Yesterday
XAGAUD
Mar 18, 2018 Yesterday
XAGEUR
Mar 18, 2018 Yesterday
XAGGBP
Mar 18, 2018 Yesterday
XAGJPY
Mar 18, 2018 Yesterday
ALUMINUM
Jun 1, 2009 Yesterday
PLATINUM
Jan 1, 2011 Yesterday
  • · No data
  • · 1-minute data, medium quality since Jan 1, 2001
  • · 1-minute and tick data, premium* quality

* - We control the quality of historical data and provide only those data intervals that we are 100% sure of, regarding both minute and tick data.

x

No Indexes

x

No Indexes

Indexes - 111 pairs, premium* quality

DJI
Mar 1, 2010 Jun 18, 2021
NQ100
Mar 1, 2010 Yesterday
NQCOMP
Mar 1, 2010 Mar 4, 2016
SP500
Mar 1, 2010 Apr 22, 2016
UK100
Jan 2, 2013 Yesterday
AUS200
Nov 19, 2014 Yesterday
BUND
Nov 19, 2014 Yesterday
ESP35
Nov 19, 2014 Yesterday
EUSTX50
Nov 19, 2014 Yesterday
FRA40
Nov 19, 2014 Yesterday
GER30
Nov 19, 2014 Sep 24, 2021
HKG33
Nov 19, 2014 Yesterday
ITA40
Nov 19, 2014 Jun 17, 2016
JPN225
Nov 19, 2014 Yesterday
NAS100
Nov 19, 2014 Yesterday
SPX500
Nov 19, 2014 Yesterday
SUI30
Nov 19, 2014 Sep 11, 2015
US30
Nov 19, 2014 Yesterday
USDOLLAR
Dec 3, 2017 Yesterday
ESTX50
Nov 19, 2014 Yesterday
HK50
Dec 17, 2018 Yesterday
ASX200
Nov 1, 2007 Yesterday
CAC40
Feb 1, 2002 Yesterday
FTSE100
Dec 1, 2009 Yesterday
AUSTRALIA200
Jun 3, 2014 Yesterday
SWITZERLAND20
Jan 2, 2013 Yesterday
GERMANY30
Jan 2, 2013 Yesterday
SPAIN35
Jun 3, 2014 Yesterday
EUROPE50
Jun 3, 2014 Yesterday
FRANCE40
Jan 2, 2013 Yesterday
HONGKONG40
Jun 4, 2013 Yesterday
JAPAN225
Jan 2, 2013 Yesterday
USA30
Jan 2, 2013 Yesterday
USA500
Jan 2, 2013 Yesterday
USA100
Jan 2, 2013 Yesterday
HSI
May 1, 2013 May 8, 2020
SSE
Dec 1, 2007 Yesterday
SENSEX
Nov 1, 2007 Yesterday
CSI200
Dec 1, 2007 Aug 31, 2017
TA35
Oct 1, 2014 Yesterday
TA125
Oct 1, 2014 Yesterday
MINISP
Jun 1, 2009 Yesterday
GLD
Oct 1, 2007 Yesterday
EWA
Oct 1, 2007 Yesterday
EWJ
Oct 1, 2007 Yesterday
EWT
Oct 1, 2007 Yesterday
EWH
Oct 1, 2007 Yesterday
EWY
Oct 1, 2007 Yesterday
EWZ
Oct 1, 2007 Yesterday
ILF
Oct 1, 2007 Yesterday
HKDOW
Dec 1, 2013 Yesterday
ITDOW
Feb 1, 2013 Yesterday
ESDOW
Feb 1, 2013 Yesterday
FRDOW
Feb 1, 2013 Yesterday
DEDOW
Feb 1, 2013 Yesterday
CADOW
Jan 1, 2015 Yesterday
TWDOW
Feb 1, 2013 Yesterday
DJAU
Nov 1, 2007 Yesterday
P2FIN
Feb 1, 2013 Feb 28, 2014
E2FIN
Feb 1, 2013 Yesterday
W1BSC
Feb 1, 2013 Yesterday
W2BSC
Feb 1, 2013 Yesterday
E1BSC
Jan 1, 2015 Yesterday
A1BSC
Feb 1, 2013 Yesterday
W2IDU
Feb 1, 2013 Yesterday
P2IDU
Feb 1, 2013 Feb 28, 2014
E2IDU
Feb 1, 2013 Yesterday
W1CYC
Jan 1, 2015 Yesterday
W2CYC
Feb 1, 2013 Yesterday
W2NCY
Feb 1, 2013 Yesterday
P2CYC
Feb 1, 2013 Feb 28, 2014
E1CYC
Jan 1, 2015 Yesterday
E2CYC
Jan 1, 2015 Yesterday
E2NCY
Feb 1, 2013 Yesterday
W2TLS
Feb 1, 2013 Yesterday
E2TLS
Jan 1, 2015 Yesterday
W2TEC
Feb 1, 2013 Yesterday
P2TEC
Feb 1, 2013 Feb 28, 2014
W1UTI
Jan 1, 2015 Yesterday
W2UTI
Feb 1, 2013 Yesterday
P2UTI
Feb 1, 2013 Feb 28, 2014
E1UTI
Jan 1, 2015 Yesterday
A1ENE
Feb 1, 2013 Yesterday
E1ENE
Feb 1, 2013 Yesterday
W1IDU
Jan 1, 2015 Yesterday
A1IDU
Feb 1, 2015 Yesterday
E1IDU
Feb 1, 2013 Yesterday
W1NCY
Jan 1, 2015 Yesterday
A1NCY
Feb 1, 2013 Yesterday
E1NCY
Feb 1, 2013 Yesterday
W1TLS
Jan 1, 2015 Yesterday
A1TLS
Feb 1, 2013 Yesterday
E1TLS
Jan 1, 2015 Yesterday
W1FIN
Jan 1, 2015 Yesterday
A1FIN
Feb 1, 2013 Yesterday
E1FIN
Jan 1, 2015 Yesterday
W1TEC
Jan 1, 2015 Yesterday
A1TEC
Feb 1, 2013 Yesterday
E1TEC
Jan 1, 2015 Yesterday
CHINAA50
Dec 17, 2018 Yesterday
IT40
Dec 17, 2018 Yesterday
N25
Dec 17, 2018 Yesterday
SIGI
Dec 17, 2018 Yesterday
SWISS20
Dec 17, 2018 Yesterday
US2000
Dec 17, 2018 Yesterday
#BUND
May 3, 2016 Yesterday
CHINA50
Jul 18, 2017 Yesterday
INDIA50
Dec 2, 2017 Yesterday
NETHERLANDS25
Sep 23, 2014 Yesterday
POLAND20
Dec 2, 2017 Yesterday
SINGAPORE
Dec 2, 2017 Yesterday
  • · No data
  • · 1-minute and tick data, premium* quality

* - We control the quality of historical data and provide only those data intervals that we are 100% sure of, regarding both minute and tick data.

x

No Stocks US

x

No Stocks US

Stocks US - 369 pairs, premium* quality

#MSFT
Jan 27, 2017 Yesterday
#XOM
Jan 27, 2017 Yesterday
#SPY
Feb 17, 2017 Yesterday
#IBM
Jan 27, 2017 Yesterday
#INTC
Jan 27, 2017 Yesterday
#HPQ
Feb 2, 2018 Yesterday
#QQQ
Jan 27, 2017 Yesterday
#T
Jan 27, 2017 Yesterday
#A
May 26, 2017 Yesterday
#AABA
Nov 3, 2017 Oct 2, 2019
#AALGB
Aug 26, 2015 Yesterday
#AALUS
Nov 3, 2017 Yesterday
#AAPL
Jan 27, 2017 Yesterday
#ABB
Nov 15, 2016 Jun 28, 2019
#ABEV
Jan 27, 2017 Yesterday
#ABT
May 12, 2017 Yesterday
#ACA
Oct 3, 2016 Yesterday
#AGN
Nov 15, 2016 Yesterday
#AGS
Nov 22, 2016 Yesterday
#AH
Nov 15, 2016 Yesterday
#AHT
Sep 7, 2016 Yesterday
#AI
Oct 3, 2016 Yesterday
#AIG
May 12, 2017 Yesterday
#AIR
Oct 3, 2016 Yesterday
#ALFA
Nov 8, 2016 Yesterday
#ALO
Sep 28, 2016 Yesterday
#ALV
Apr 10, 2015 Yesterday
#ALXN
Jan 27, 2017 Jul 20, 2021
#AMAT
May 12, 2017 Yesterday
#AMD
Nov 3, 2017 Yesterday
#AMGN
Jan 27, 2017 Yesterday
#AMT
Nov 3, 2017 Yesterday
#AMZN
Jan 27, 2017 Yesterday
#ANTM
Nov 3, 2017 Yesterday
#APC
Nov 3, 2017 Aug 8, 2019
#APD
Nov 3, 2017 Yesterday
#ASML
Nov 15, 2016 Yesterday
#ATVI
May 12, 2017 Yesterday
#AVGO
Jan 27, 2017 Yesterday
#AXP
Nov 3, 2017 Yesterday
#AZNUS
Jan 27, 2017 Yesterday
#AZO
Nov 3, 2017 Yesterday
#BAUS
Jan 27, 2017 Yesterday
#BAB
Sep 7, 2016 Yesterday
#BABA
Jan 27, 2017 Yesterday
#BAC
Jan 27, 2017 Yesterday
#BAS
Apr 23, 2015 Yesterday
#BATS
Sep 7, 2016 Yesterday
#BBD
Jan 27, 2017 Yesterday
#BBVA
Nov 15, 2016 Yesterday
#BBY
May 12, 2017 Yesterday
#BELG
Nov 8, 2016 Yesterday
#BIDU
Nov 3, 2017 Yesterday
#BIIB
May 12, 2017 Yesterday
#BK
May 12, 2017 Yesterday
#BMY
May 12, 2017 Yesterday
#BP
Sep 7, 2016 Yesterday
#BRKB
Nov 7, 2017 Yesterday
#BSX
May 12, 2017 Yesterday
#BT
Jul 8, 2016 Yesterday
#C
Jan 27, 2017 Yesterday
#CA
Oct 3, 2016 Yesterday
#CAT
May 12, 2017 Yesterday
#CBK
Mar 27, 2015 Yesterday
#CCL
Jul 7, 2016 Yesterday
#CELG
May 12, 2017 Nov 20, 2019
#CI
May 12, 2017 Yesterday
#CL
Nov 3, 2017 Yesterday
#CMCSA
Jan 27, 2017 Yesterday
#CME
May 12, 2017 Yesterday
#CMG
May 12, 2017 Yesterday
#CNA
Jul 8, 2016 Yesterday
#COL
Nov 3, 2017 Nov 26, 2018
#COP
Nov 3, 2017 Yesterday
#COST
Nov 3, 2017 Yesterday
#CPI
Jul 8, 2016 Yesterday
#CRH
Jan 6, 2017 Yesterday
#CRM
May 12, 2017 Yesterday
#CSUS
Jan 27, 2017 Yesterday
#CSCO
Jan 27, 2017 Yesterday
#CSX
Nov 3, 2017 Yesterday
#CTL
Nov 3, 2017 Yesterday
#CTSH
Nov 3, 2017 Yesterday
#CVS
Nov 3, 2017 Yesterday
#CVX
Jan 27, 2017 Yesterday
#DAL
Nov 3, 2017 Yesterday
#DE
May 12, 2017 Yesterday
#DGUS
May 12, 2017 Yesterday
#DHR
Nov 3, 2017 Yesterday
#DIAUS
May 12, 2017 Yesterday
#DIS
Jan 27, 2017 Yesterday
#DLTR
Nov 3, 2017 Yesterday
#DNB
Nov 15, 2016 Jul 5, 2021
#DPW
Apr 1, 2015 Yesterday
#DSM
Nov 15, 2016 Yesterday
#DTE
Apr 1, 2015 Yesterday
#DUK
May 12, 2017 Yesterday
#DVY
May 12, 2017 Yesterday
#EA
May 12, 2017 Yesterday
#EBAY
Nov 3, 2017 Yesterday
#EBS
Nov 16, 2016 Yesterday
#EEM
Jan 27, 2017 Yesterday
#EFA
Jan 27, 2017 Yesterday
#EFX
Nov 3, 2017 Yesterday
#EMB
May 12, 2017 Yesterday
#ENG
Nov 15, 2016 Yesterday
#EOG
Nov 3, 2017 Yesterday
#EQT
Nov 3, 2017 Yesterday
#ESRX
Nov 3, 2017 Dec 20, 2018
#EWH
Nov 7, 2017 Yesterday
#EWJ
Jan 27, 2017 Yesterday
#EWW
Jan 16, 2018 Yesterday
#EWZ
Jan 27, 2017 Yesterday
#EXPE
Nov 3, 2017 Yesterday
#F
Nov 3, 2017 Yesterday
#FB
Jan 27, 2017 Yesterday
#FCX
Nov 3, 2017 Yesterday
#FDX
Nov 3, 2017 Yesterday
#FR
Oct 3, 2016 Yesterday
#FXI
Jan 27, 2017 Yesterday
#GAM
Nov 15, 2016 Yesterday
#GDX
Jan 27, 2017 Yesterday
#GDXJ
Jan 27, 2017 Yesterday
#GE
Jan 27, 2017 Yesterday
#GILD
Jan 27, 2017 Yesterday
#GLD
Jan 27, 2017 Yesterday
#GLW
May 12, 2017 Yesterday
#GM
Nov 3, 2017 Yesterday
#GOOG
Jan 27, 2017 Yesterday
#GOOGL
Jan 27, 2017 Yesterday
#GS
Jan 27, 2017 Yesterday
#HAL
Nov 3, 2017 Yesterday
#HD
Jan 27, 2017 Yesterday
#HEI
Apr 7, 2015 Yesterday
#HES
Nov 3, 2017 Yesterday
#HON
Nov 3, 2017 Yesterday
#HUM
Nov 3, 2017 Yesterday
#IAG
Nov 9, 2016 Yesterday
#IBB
May 12, 2017 Yesterday
#ICE
Nov 7, 2017 Yesterday
#IHG
Nov 2, 2016 Yesterday
#IJR
May 12, 2017 Yesterday
#ITUB
Jan 27, 2017 Yesterday
#ITW
May 12, 2017 Yesterday
#IVE
May 12, 2017 Yesterday
#IVW
May 12, 2017 Yesterday
#IWM
Jan 27, 2017 Yesterday
#IYR
Jan 27, 2017 Yesterday
#JCI
Nov 3, 2017 Yesterday
#JNJ
Jan 27, 2017 Yesterday
#JNK
Jan 27, 2017 Yesterday
#JPM
Jan 27, 2017 Yesterday
#JWN
May 12, 2017 Yesterday
#K
May 12, 2017 Yesterday
#KEY
Nov 3, 2017 Yesterday
#KHC
May 12, 2017 Yesterday
#KMB
May 12, 2017 Yesterday
#KMI
Nov 3, 2017 Yesterday
#KO
Jan 27, 2017 Yesterday
#KR
Nov 3, 2017 Yesterday
#L
May 12, 2017 Yesterday
#LAND
Jul 8, 2016 Yesterday
#LEN
May 12, 2017 Yesterday
#LIN
Apr 22, 2015 Yesterday
#LLY
May 12, 2017 Yesterday
#LMT
May 12, 2017 Yesterday
#LOW
Nov 3, 2017 Yesterday
#LRCX
Nov 3, 2017 Yesterday
#LUV
Nov 3, 2017 Yesterday
#LVS
Jan 27, 2017 Yesterday
#M
Nov 3, 2017 Yesterday
#MA
May 12, 2017 Yesterday
#MAR
Nov 3, 2017 Yesterday
#MC
Aug 8, 2016 Yesterday
#MCD
Nov 3, 2017 Yesterday
#MCK
Nov 3, 2017 Yesterday
#MDLZ
Nov 3, 2017 Yesterday
#MET
Nov 3, 2017 Yesterday
#MGM
Nov 3, 2017 Yesterday
#MMM
May 12, 2017 Yesterday
#MO
Nov 3, 2017 Yesterday
#MRKUS
Nov 3, 2017 Yesterday
#MS
Nov 3, 2017 Yesterday
#MT
Nov 15, 2016 Yesterday
#MU
Nov 3, 2017 Yesterday
#NEM
May 12, 2017 Yesterday
#NFLX
Jan 27, 2017 Yesterday
#NG
Jul 8, 2016 Yesterday
#NKE
Nov 3, 2017 Yesterday
#NOC
May 12, 2017 Yesterday
#NOVN
Jun 17, 2015 Yesterday
#NVDA
Jan 27, 2017 Yesterday
#NWL
Nov 3, 2017 Yesterday
#NXT
Jul 7, 2016 Yesterday
#ORA
Aug 8, 2016 Yesterday
#ORCL
Nov 3, 2017 Yesterday
#ORLY
Nov 3, 2017 Yesterday
#OXY
May 12, 2017 Yesterday
#PBR
Jan 27, 2017 Yesterday
#PCG
Nov 3, 2017 Yesterday
#PCLN
Jan 27, 2017 Yesterday
#PEP
Nov 3, 2017 Yesterday
#PFE
Jan 27, 2017 Yesterday
#PG
Jan 27, 2017 Yesterday
#PM
Nov 3, 2017 Yesterday
#PNC
Nov 3, 2017 Yesterday
#PRU
Jul 8, 2016 Yesterday
#PUB
Aug 8, 2016 Yesterday
#PXD
Nov 3, 2017 Yesterday
#PYPL
Nov 3, 2017 Yesterday
#QCOM
Nov 3, 2017 Yesterday
#RAND
Nov 15, 2016 Yesterday
#RBS
Jul 11, 2016 Yesterday
#RDSA
Nov 15, 2016 Yesterday
#RDSB
Nov 2, 2016 Yesterday
#REGN
Nov 3, 2017 Yesterday
#REN
Nov 15, 2016 Yesterday
#RIO
Jul 7, 2016 Yesterday
#ROG
Jul 6, 2015 Yesterday
#SAND
Nov 8, 2016 Yesterday
#SAP
Apr 17, 2015 Yesterday
#SBUX
Nov 3, 2017 Yesterday
#SCHW
Nov 3, 2017 Yesterday
#SKY
Jul 8, 2016 Oct 24, 2018
#SN
Jul 11, 2016 Yesterday
#SNAP
Nov 3, 2017 Yesterday
#SO
Nov 3, 2017 Yesterday
#SPG
Nov 3, 2017 Yesterday
#STL
Nov 15, 2016 Yesterday
#SVT
Jul 7, 2016 Yesterday
#TEF
Nov 15, 2016 Yesterday
#TEL
Nov 15, 2016 Yesterday
#TEVA
Nov 3, 2017 Yesterday
#TGT
Nov 3, 2017 Yesterday
#TJX
Nov 3, 2017 Yesterday
#TLSN
Nov 15, 2016 Yesterday
#TLT
Jan 27, 2017 Yesterday
#TMO
Nov 3, 2017 Yesterday
#TRV
Nov 3, 2017 Yesterday
#TSLA
Jan 27, 2017 Yesterday
#TWTR
Nov 3, 2017 Yesterday
#TWX
Nov 3, 2017 May 30, 2018
#TXN
Nov 3, 2017 Yesterday
#UG
Aug 8, 2016 Jan 15, 2021
#UL
Nov 15, 2016 May 28, 2018
#ULTA
Nov 3, 2017 Yesterday
#UNH
Nov 3, 2017 Yesterday
#UNP
Nov 16, 2017 Yesterday
#UPS
Nov 16, 2017 Yesterday
#USB
Nov 16, 2017 Yesterday
#USO
Jan 27, 2017 Yesterday
#UTX
Nov 16, 2017 Apr 2, 2020
#V
Jan 27, 2017 Yesterday
#VALE
Jan 27, 2017 Yesterday
#VEA
Nov 16, 2017 Yesterday
#VIV
Aug 8, 2016 Yesterday
#VLO
Nov 16, 2017 Yesterday
#VNQ
Nov 16, 2017 Yesterday
#VOD
Jul 8, 2016 Yesterday
#VOE
Nov 16, 2016 Yesterday
#VRTX
Nov 16, 2017 Yesterday
#VXX
Jan 27, 2017 Yesterday
#VZ
Nov 16, 2017 Yesterday
#WBA
Nov 16, 2017 Yesterday
#WDC
Nov 16, 2017 Yesterday
#WFC
Jan 27, 2017 Yesterday
#WMT
Nov 16, 2017 Yesterday
#WOS
Jul 7, 2016 Yesterday
#WPP
Jul 11, 2016 Yesterday
#WYNN
Nov 16, 2017 Yesterday
#X
Nov 16, 2017 Yesterday
#XLE
Nov 16, 2017 Yesterday
#XLF
Jan 27, 2017 Yesterday
#XLI
Jan 27, 2017 Yesterday
#XLK
Nov 16, 2017 Yesterday
#XLP
Jan 27, 2017 Yesterday
#XLU
Nov 16, 2017 Yesterday
#XLV
Nov 16, 2017 Yesterday
#XLY
Nov 16, 2017 Yesterday
#XOP
Jan 27, 2017 Yesterday
#AA
Jan 31, 2018 Yesterday
#MRK
Jan 1, 2014 Yesterday
#YAHOO
Jun 1, 2009 Jun 16, 2017
#NEE
Feb 2, 2018 Yesterday
#EXC
Feb 2, 2018 Yesterday
#DFS
Feb 2, 2018 Yesterday
#CMI
Feb 2, 2018 Yesterday
#NSC
Feb 2, 2018 Yesterday
#ABC
Jan 31, 2018 Yesterday
#ADI
Jan 31, 2018 Yesterday
#ADSK
Jan 31, 2018 Yesterday
#ALL
Feb 1, 2018 Yesterday
#APA
Feb 1, 2018 Yesterday
#AVB
Feb 1, 2018 Yesterday
#BBT
Feb 1, 2018 Dec 6, 2019
#BDX
Feb 1, 2018 Yesterday
#BPUS
Feb 1, 2018 Yesterday
#CAG
Feb 1, 2018 Yesterday
#CAH
Feb 1, 2018 Yesterday
#CBS
Feb 1, 2018 Dec 4, 2019
#CF
Feb 1, 2018 Yesterday
#D
Feb 2, 2018 Yesterday
#DHI
Feb 2, 2018 Yesterday
#DVA
Feb 2, 2018 Yesterday
#DVN
Feb 2, 2018 Yesterday
#EIX
Feb 2, 2018 Yesterday
#EL
Feb 2, 2018 Yesterday
#EMR
Feb 2, 2018 Yesterday
#EZU
Feb 2, 2018 Yesterday
#FE
Feb 2, 2018 Yesterday
#FOXA
Feb 1, 2018 Yesterday
#GIS
Feb 2, 2018 Yesterday
#GPS
Feb 2, 2018 Yesterday
#GWW
Feb 2, 2018 Yesterday
#HCN
Feb 2, 2018 Yesterday
#HCP
Feb 2, 2018 Nov 4, 2019
#IEF
Feb 2, 2018 Yesterday
#IJH
Feb 2, 2018 Yesterday
#ILMN
Feb 2, 2018 Yesterday
#INTU
Feb 2, 2018 Yesterday
#IPG
Feb 2, 2018 Yesterday
#ISRG
Feb 2, 2018 Yesterday
#IWD
Feb 2, 2018 Yesterday
#IWF
Feb 2, 2018 Yesterday
#KSS
Feb 2, 2018 Yesterday
#MAT
Feb 2, 2018 Yesterday
#MCHP
Feb 2, 2018 Yesterday
#MPC
Feb 2, 2018 Yesterday
#MRO
Feb 2, 2018 Yesterday
#NBL
Feb 2, 2018 Oct 2, 2020
#NRG
Feb 2, 2018 Yesterday
#OKE
Feb 2, 2018 Yesterday
#OMC
Feb 2, 2018 Yesterday
#PAYX
Feb 2, 2018 Yesterday
#PCAR
Feb 2, 2018 Yesterday
#PGR
Feb 2, 2018 Yesterday
#PH
Feb 2, 2018 Yesterday
#PPG
Feb 3, 2018 Yesterday
#PRUUS
Feb 2, 2018 Yesterday
#PSA
Feb 2, 2018 Yesterday
#PSX
Feb 2, 2018 Yesterday
#RF
Feb 2, 2018 Yesterday
#RHT
Feb 2, 2018 Jul 9, 2019
#ROST
Feb 2, 2018 Yesterday
#RRC
Feb 2, 2018 Yesterday
#RTN
Feb 2, 2018 Apr 2, 2020
#SHW
Feb 2, 2018 Yesterday
#SJM
Feb 2, 2018 Yesterday
#SLV
Feb 2, 2018 Yesterday
#STI
Feb 2, 2018 Dec 6, 2019
#STT
Feb 2, 2018 Yesterday
#STZ
Feb 2, 2018 Yesterday
#SWK
Feb 2, 2018 Yesterday
#SYK
Feb 2, 2018 Yesterday
#SYMC
Feb 2, 2018 Nov 4, 2019
#SYY
Feb 2, 2018 Yesterday
#TAP
Feb 2, 2018 Yesterday
#TIF
Feb 2, 2018 Jan 6, 2021
#TROW
Feb 2, 2018 Yesterday
#TSM
Feb 2, 2018 Yesterday
#TSN
Feb 2, 2018 Yesterday
#VFC
Feb 2, 2018 Yesterday
#VGK
Feb 2, 2018 Yesterday
#VIAB
Feb 2, 2018 Dec 4, 2019
#VMC
Feb 2, 2018 Yesterday
#WHR
Feb 2, 2018 Yesterday
#XLNX
Feb 2, 2018 Yesterday
#YUM
Feb 2, 2018 Yesterday
#ZBH
Feb 2, 2018 Yesterday
  • · No data
  • · 1-minute and tick data, premium* quality

* - We control the quality of historical data and provide only those data intervals that we are 100% sure of, regarding both minute and tick data.

x

No Stocks EU

x

No Stocks EU

Stocks EU - 142 pairs, premium* quality

#ABBN
Jun 17, 2015 Yesterday
#ABE
Nov 15, 2016 Mar 13, 2018
#ABI
Nov 22, 2016 Yesterday
#ACS
Nov 15, 2016 Yesterday
#ACX
Nov 15, 2016 Yesterday
#ADBE
May 12, 2017 Yesterday
#ADEN
Jun 17, 2015 Yesterday
#ADM
Sep 7, 2016 Yesterday
#ADP
Nov 3, 2017 Yesterday
#ADS
Mar 16, 2015 Yesterday
#AENA
Nov 15, 2016 Yesterday
#AET
May 12, 2017 Nov 28, 2018
#AF
Sep 28, 2016 Yesterday
#AKZA
Nov 15, 2016 Yesterday
#AMS
Nov 15, 2016 Yesterday
#ATCOA
Nov 15, 2016 Yesterday
#BAGB
Sep 7, 2016 Yesterday
#BAER
Jun 17, 2015 Yesterday
#BARC
Sep 7, 2016 Yesterday
#BAYN
Mar 23, 2015 Yesterday
#BEI
Apr 9, 2015 Yesterday
#BLT
Sep 7, 2016 Yesterday
#BMW
Mar 25, 2015 Yesterday
#BN
Oct 3, 2016 Yesterday
#BNP
Oct 3, 2016 Yesterday
#BOSS
Apr 10, 2015 Yesterday
#CABK
Nov 15, 2016 Yesterday
#CAP
Oct 3, 2016 Yesterday
#CARLB
Nov 9, 2016 Yesterday
#CLN
Jun 17, 2015 Yesterday
#COLOB
Nov 9, 2016 Yesterday
#CON
Apr 9, 2015 Yesterday
#CSFR
Oct 3, 2016 Yesterday
#CSGN
Jun 17, 2015 Yesterday
#DAI
Mar 30, 2015 Yesterday
#DANSKE
Nov 9, 2016 Yesterday
#DB1
Apr 15, 2015 Yesterday
#DBK
Mar 26, 2015 Yesterday
#DGFR
Oct 3, 2016 Yesterday
#DIAES
Nov 15, 2016 May 7, 2021
#EDF
Oct 3, 2016 Yesterday
#EDP
Nov 15, 2016 Yesterday
#EI
Oct 3, 2016 Oct 22, 2018
#ELE
Nov 15, 2016 Yesterday
#ELI1V
Nov 4, 2016 Yesterday
#ELUXB
Nov 8, 2016 Yesterday
#EN
Oct 3, 2016 Yesterday
#ENGI
Oct 3, 2016 Yesterday
#EOAN
Apr 21, 2015 Yesterday
#ERICB
Nov 15, 2016 Yesterday
#FER
Nov 15, 2016 Yesterday
#FME
Apr 2, 2015 Yesterday
#FP
Oct 3, 2016 Yesterday
#FRE
Apr 13, 2015 Yesterday
#GALP
Nov 15, 2016 Yesterday
#GAS
Nov 15, 2016 Yesterday
#GETIB
Nov 8, 2016 Yesterday
#GIVN
Jun 17, 2015 Yesterday
#GLE
Oct 3, 2016 Yesterday
#GTO
Nov 15, 2016 May 28, 2019
#HEIA
Nov 15, 2016 Yesterday
#HEN3
Apr 22, 2015 Yesterday
#HMB
Nov 8, 2016 Yesterday
#IBE
Nov 15, 2016 Yesterday
#IFX
Apr 14, 2015 Yesterday
#INGA
Nov 15, 2016 Yesterday
#INVEB
Nov 15, 2016 Yesterday
#ITX
Nov 15, 2016 Yesterday
#KBC
Nov 8, 2016 Yesterday
#KER
Oct 3, 2016 Yesterday
#KNIN
Jun 18, 2015 Yesterday
#KPN
Nov 15, 2016 Yesterday
#LHA
Apr 22, 2015 Yesterday
#LHN
Jun 18, 2015 Yesterday
#LONN
Jun 17, 2015 Yesterday
#LR
Aug 8, 2016 Yesterday
#LXS
Apr 22, 2015 Yesterday
#MAERSKB
Nov 9, 2016 Yesterday
#MHG
Nov 15, 2016 Yesterday
#MRKDE
Mar 25, 2015 Yesterday
#MUV2
Apr 22, 2015 Yesterday
#NDA
Nov 8, 2016 Yesterday
#NES1V
Nov 4, 2016 Yesterday
#NESN
Jun 17, 2015 Yesterday
#NHY
Nov 15, 2016 Yesterday
#NOVOB
Nov 9, 2016 Yesterday
#NRE1V
Nov 4, 2016 Yesterday
#NZYMB
Nov 9, 2016 Yesterday
#OR
Aug 8, 2016 Yesterday
#ORK
Nov 15, 2016 Yesterday
#OTE1V
Nov 4, 2016 Yesterday
#OUT1V
Nov 4, 2016 Yesterday
#PAH3
Apr 22, 2015 Yesterday
#PHIA
Nov 10, 2016 Yesterday
#PNDORA
Nov 9, 2016 Yesterday
#PSM
Apr 21, 2015 Yesterday
#RBI
Nov 16, 2016 Yesterday
#REE
Nov 15, 2016 Yesterday
#REP
Nov 15, 2016 Yesterday
#RI
Aug 8, 2016 Yesterday
#RNO
Aug 9, 2016 Yesterday
#RWE
Apr 17, 2015 Yesterday
#SAF
Aug 8, 2016 Yesterday
#SANES
Nov 15, 2016 Yesterday
#SANFR
Aug 8, 2016 Yesterday
#SCAB
Nov 8, 2016 Yesterday
#SCMN
Jul 6, 2015 Yesterday
#SDF
Apr 16, 2015 Yesterday
#SEBA
Nov 15, 2016 Yesterday
#SECUB
Nov 8, 2016 Yesterday
#SGO
Nov 1, 2016 Yesterday
#SGSN
Aug 7, 2015 Yesterday
#SIE
Apr 21, 2015 Yesterday
#SIK
Aug 7, 2015 Apr 1, 2019
#SKAB
Nov 8, 2016 Yesterday
#SKFB
Nov 8, 2016 Yesterday
#SLHN
Aug 7, 2015 Yesterday
#SOLB
Nov 8, 2016 Yesterday
#SOON
Aug 10, 2015 Yesterday
#SREN
Aug 7, 2015 Yesterday
#STERV
Nov 4, 2016 Yesterday
#SWEDA
Nov 8, 2016 Yesterday
#SWMA
Nov 8, 2016 Yesterday
#TEL2B
Nov 8, 2016 Yesterday
#TKA
Apr 15, 2015 Yesterday
#TLS1V
Nov 10, 2016 Yesterday
#TUI1
Apr 16, 2015 Yesterday
#UBSG
Jun 16, 2015 Yesterday
#UCB
Nov 8, 2016 Yesterday
#UHR
Aug 10, 2015 Yesterday
#UMI
Nov 8, 2016 Yesterday
#UNA
Nov 15, 2016 Nov 27, 2020
#VIE
Aug 8, 2016 Yesterday
#VK
Aug 8, 2016 Yesterday
#VNA
Apr 15, 2015 Yesterday
#VOLVB
Nov 8, 2016 Yesterday
#VOW3
Apr 15, 2015 Yesterday
#VPK
Nov 15, 2016 Yesterday
#VWS
Nov 9, 2016 Yesterday
#WKL
Nov 15, 2016 Yesterday
#ZURN
Aug 10, 2015 Yesterday
#MCD.W
Sep 1, 2007 Mar 27, 2020
  • · No data
  • · 1-minute and tick data, premium* quality

* - We control the quality of historical data and provide only those data intervals that we are 100% sure of, regarding both minute and tick data.

x

No Stocks UK

x

No Stocks UK

Stocks UK - 48 pairs, premium* quality

#ABF
Sep 7, 2016 Yesterday
#AGK
Sep 7, 2016 Aug 9, 2021
#ANTO
Sep 7, 2016 Yesterday
#AV
Sep 7, 2016 Yesterday
#AZNGB
Sep 7, 2016 Yesterday
#BLND
Sep 7, 2016 Yesterday
#BNZL
Sep 7, 2016 Yesterday
#BRBY
Jul 11, 2016 Yesterday
#CRDA
Nov 2, 2016 Yesterday
#DGE
Jul 7, 2016 Yesterday
#EXPN
Jul 11, 2016 Yesterday
#EZJ
Jul 11, 2016 Yesterday
#FRES
Jul 8, 2016 Yesterday
#GFS
Jul 8, 2016 Apr 30, 2021
#GKN
Jul 8, 2016 May 18, 2018
#GLEN
Jul 8, 2016 Yesterday
#HMSO
Jul 8, 2016 Yesterday
#HSBA
Jul 8, 2016 Yesterday
#ISAT
Jul 11, 2016 Dec 4, 2019
#ITRK
Jul 7, 2016 Yesterday
#ITV
Jul 8, 2016 Yesterday
#KGF
Jul 8, 2016 Yesterday
#LGEN
Jul 8, 2016 Yesterday
#LLOY
Jul 11, 2016 Yesterday
#LSE
Jul 7, 2016 Jan 28, 2021
#MKS
Jul 8, 2016 Yesterday
#MNDI
Jul 11, 2016 Yesterday
#MRW
Jul 8, 2016 Oct 26, 2021
#PSN
Jul 11, 2016 Yesterday
#PSON
Jul 8, 2016 Yesterday
#RB
Jul 7, 2016 Yesterday
#REL
Jul 11, 2016 Yesterday
#RMG
Jul 8, 2016 Yesterday
#RR
Jul 11, 2016 Yesterday
#RSA
Jul 8, 2016 May 28, 2021
#SBRY
Jul 8, 2016 Yesterday
#SGE
Jul 11, 2016 Yesterday
#SMIN
Jul 11, 2016 Yesterday
#SSE
Jul 11, 2016 Yesterday
#STAN
Jul 8, 2016 Yesterday
#TATE
Jul 11, 2016 Yesterday
#TLW
Jul 8, 2016 Yesterday
#TPK
Jul 11, 2016 Yesterday
#TSCO
Jul 11, 2016 Yesterday
#ULVR
Jul 7, 2016 Yesterday
#WEIR
Jul 11, 2016 Yesterday
#WTB
Jul 7, 2016 Yesterday
#UKGILT
Dec 27, 2017 Yesterday
  • · No data
  • · 1-minute and tick data, premium* quality

* - We control the quality of historical data and provide only those data intervals that we are 100% sure of, regarding both minute and tick data.

x

No Stocks Canada

x

No Stocks Canada

Stocks Canada - 8 pairs, premium* quality

#AC
Aug 12, 2016 Yesterday
#CPG
Jul 11, 2016 Yesterday
#IMT
Jul 7, 2016 Yesterday
#LI
Aug 8, 2016 Yesterday
#OML
Jul 8, 2016 May 25, 2018
#RRS
Jul 7, 2016 Dec 28, 2018
#SHP
Jul 7, 2016 Dec 21, 2018
#SU
Aug 8, 2016 Yesterday
  • · No data
  • · 1-minute and tick data, premium* quality

* - We control the quality of historical data and provide only those data intervals that we are 100% sure of, regarding both minute and tick data.

x

No Stocks India

x

No Stocks India

Stocks India - 1 pair, premium* quality

#PFC
Jul 11, 2016 Yesterday
  • · No data
  • · 1-minute and tick data, premium* quality

* - We control the quality of historical data and provide only those data intervals that we are 100% sure of, regarding both minute and tick data.

x

No Futures

x

No Futures

Futures - 2 pairs, premium* quality

NG
Mar 1, 2010 Dec 20, 2018
#UU
Jul 11, 2016 Yesterday
  • · No data
  • · 1-minute and tick data, premium* quality

* - We control the quality of historical data and provide only those data intervals that we are 100% sure of, regarding both minute and tick data.

Services

Limited functionality of Easy Forex Builder

unlimited

Unlimited access to Easy Forex Builder

unlimited

Unlimited access to Easy Forex Builder

Try all algorithms of Strategy Optimizer on 1 month

Full grid algorithm of Strategy Optimizer

unlimited

Unlimited access to AI-based Strategy Optimizer

Bonuses
x

No bonus

10 simple manual strategies to start

  • Martingale Grid & Hedging
  • Martingale hedging with exponential lot increase
  • Simple short-term strategy
  • Engulfing bars
  • GBP/USD simple breakout system
  • Simple “Make Pips” Strategy
  • The Trader vs. the Coin
  • Accurate Trading Strategy
  • The Hedging Strategy
  • The Tsunami Method

10 simple manual strategies to start

  • Martingale Grid & Hedging
  • Martingale hedging with exponential lot increase
  • Simple short-term strategy
  • Engulfing bars
  • GBP/USD simple breakout system
  • Simple “Make Pips” Strategy
  • The Trader vs. the Coin
  • Accurate Trading Strategy
  • The Hedging Strategy
  • The Tsunami Method

5 price action-based EAs along with a detailed instruction on the strategies' rules

5 price action-based EAs along with a detailed instruction on the strategies' rules

11-step plan on how to get the most out of backtesting

11-step plan on how to get the most out of backtesting

Risk calculation + Money management table

Risk calculation + Money management table

“How to choose a broker” guide

“How to choose a broker” guide

“20 indicators to try today to improve your trading tomorrow”

“20 indicators to try today to improve your trading tomorrow”

* - We control the quality of historical data and provide only those data intervals that we are 100% sure of, regarding both minute and tick data.
6 reasons to choose Super Data for Forex Tester

1. +860 symbols

Every trader should have a choice of which trading instrument to choose.

No one should be limited only to the most common currencies. There are many traders who want to trade majors and the most popular crosses. But there are also plenty of people who want to trade the currencies of their countries. Others desire to learn how to trade very rare currency pairs, popular stocks, indexes and commodities.

Forex Tester’s paid services allow you to practice trading with all 860 symbols (instead of 18 symbols of the beginner subscription type). Why go for less when you can get more with some decent payment? Trade gold, Dow Jones Industrial Index and Russian Ruble; make use of silver, IBM stocks, Honk Kong dollar and S&P 500.

Solution: Every dollar you spend on your education will be multiplied afterward. Never refuse to invest in your knowledge and skills!

2. Tick data

Forex tick data shows the real non-simplified market conditions. If the price changed 45 times during the current candlestick then you need to see all those changes. 1-min data will only show 4 prices to you: open, high, low and close.

Example: imagine that you are using a short-term strategy or a scalping strategy. You use a free Forex data feed that provides you with just 4 prices on each 1-min candlestick. For long-term strategies this option is sufficient, but what if your trade lasts for less than one minute? Most of the scalpers close their orders in 20-30 seconds and each tick is incredibly important for the final result. With Forex tick data you will also get that specific feeling as if you are trading online. This is a crucial factor in your psychological growth as a trader.

Solution: buy historical tick data and trade like on a real market.

3. Floating spread

Not only do the price and volumes change on the Forex market, but the spread tends to be different depending on the varying circumstances on the market. Before and especially during big news the spread can become altered significantly. You might learn the simplified version of Forex, then go to a real market and find out that your version has nothing to deal with reality.

Solution: purchase high-qualitative historical financial data and get used to the real conditions from the start.

4. Daily update

Traders are interested in using the historical financial data of the latest events. It is certainly useful to test your trading system on the historical Forex data of the previous years but most people want to backtest them on yesterday’s historical tick data.

Example 1: If today is the 14th of February then you have to wait for 2 more weeks in order to backtest your strategy on the February’s historical Forex rates. With paid services there is an opportunity to download today’s market data feed the next day.

Example 2: You were at work and you’ve missed good trades that happened in the afternoon. You have 2 options: feel bad about it, or download this Forex data feed tomorrow and test how would your strategy perform in those circumstances.

Solution: Do not wait for months – buy it now.

5. High-quality data

We honestly declare that our free service data from Forexite is of a medium quality. It is a fair limitation for our clients – it distinguishes serious traders from amateurs because serious traders will get the high-quality data.

Some people often complain that they have to purchase the data additionally to Forex Tester. But when you buy a car you do not expect to get a free lifetime gasoline supply. You might get just a bit of gasoline to start with, but afterwards you have to buy more. We provide free lifetime gasoline (data) for your strategies. If you want to get the best data then you can purchase it from our site.

Solution: getting the paid data provides you with the most comprehending and qualitative tool.

6. AI-based Strategy Optimizer

Basic Data: Full grid algorithm at Forexite data Super Data subscription: Full grid algorithm + all AI-based algorithms + all the data and symbols available.

Full grid. This algorithm is the simplest and lacks AI methods. Every test run, called iteration, it goes through every single combination of a given set of parameters based on historical data. The more combinations, the more iterations, the more time it takes to get results. The accuracy of the method is the highest - up to 99% but the speed is the lowest.

Neural Network is an AI based algorithm. Thanks to the complex mathematical formulas that underlie this algorithm, it can select the strategy parameters with a high level of accuracy - up to 95%. This precision achieved by using a very small dataset, so you can get the result 10-100 times faster in comparison with a full grid (Brute Force) test.

XGBoost. Algorithm based on AI. Takes advantage of the most powerful and advanced ML-technique, which allows to perform parallel tree boosting to filter out inappropriate options as early as possible. It provides an even faster work than a Neural Network without loss of the result accuracy (up to 95%).

We are with you every step of the way

See how Forex Tester simulator works for free

Free online software demonstration before the purchase

Forex Tester support team provides free and quick help

The best support team available via emails, on-site chat in English, Japanese, Spanish, and Russian

Contact us
Get personal help with Forex Tester via TeamViewer

Real-time personal assistance via TeamViewer

Forex historical data is a must-have tool for back testing and trading. Forex data can be compared to fuel and software that uses this data is like an engine. Without high-quality tick data data package, it is impossible to analyze the market and make trading or backtesting decisions. If the auto does not have any fuel then no matter how great your engine is – it is useless. Most of the people who are into Forex are trying to find tick by tick data. The reason for that is simple: good and classy historical Forex rates can guarantee that your backtesting results are correct. Your strategy can be wonderful but if you do not use good historical market data, you will never know about the quality of this strategy. Just imagine the situation when you use bad historical Forex data. In this case, you make decisions and refine your strategy as always but after that you go to the real market and find out that your knowledge and skills do not work there. Probably you will blame your emotions as the cause of these faults. Maybe you will think that it is all about Forex market that changes so quickly and leaves your considerations out-of-date. But there is a chance that the issue is about your Forex data feed. If the market data feed you are currently using leaves much to be desired, then everything is worthless.

Forex Tester gives you an opportunity to get the best Forex historical data. Download it from our server right now and you will never have to think about technical issues related to the data quality. For those clients who back test scalping strategies, Forex tick data is the number one thing to have.

We offer 2 types of
Historical Data subscriptions:

Basic

(Forexite free data) subscription (free minute data)

Super subscription

(minute and tick data of high quality)

Thus, you can always choose the option that suits you the most:

Free historical data

Free historical data is available for anyone who has purchased the Forex Tester license (23 years of historical data for 18 symbols). You can download historical data for the last 23 years from our server and test your strategies on such a long period of time. This data is absolutely enough to understand whether a particular strategy is profitable or not.

Super subscription

Super subscription, in its turn, is a paid service. This type of data subscription is more suitable for traders who use trading strategies that depend on even small price fluctuations. As you can see in the comparison table above, this paid data service provides you with:

  • Accurate data without "shortcomings"
  • Much more symbols for backtesting (860+ symbols)
  • Daily updates for testing "yesterday's data"
  • 5-digits data (3 digits for pairs which include Japanese yen)

The advantage of the Super subscription

The advantage of the Super subscription is that it includes tick data with floating spread. Tick data shows all the price changes, even the smallest ones. For example, the price changed 36 times in 1 minute. If you use minute data, you will see 4 prices of this bar: Open, High, Low, Close. If you use tick data, you will notice (in this particular case) all 36 changes.

Historical tick data will also be extremely useful for getting the most accurate results even for non-scalping strategies. Even the smallest price changes affect the results of you testing in a long run. That is why we recommend you to spend some time evaluating different data sources and considering which history data to select.

Order tick-by-tick data for the
smallest price possible!

When you have decided to purchase Forex historical data from our web source, you will probably notice that it is more profitable to subscribe for several months of data at a time. Forex data as any other product is cheaper if you buy many items at once.

Therefore, our tick data package, as well as 1-min data, has three different purchase types: you can get 1 month or 12 months of the well-picked and organized historical Forex data, or get the unlimited access to our minute or tick-by-tick data (by purchasing a lifetime license). In case if you take Forex seriously and you are sure that you will be on the currency market for your entire life, you should consider purchasing 12 months of historical market data or the lifetime data package.

Those who have selected 12 months will save about 40% of the price depending on the subscription type to the Forex data feed (in comparison with the 1-month subscription). When purchasing the lifetime subscription, you pay just once, and in comparison with the 1-month subscription, your money will be compensated less than in 1 year. As you see, it is better to purchase the whole package of the market data feed: it is more profitable and more convenient.

Our Forex history data includes data for:

  • 7 majors
  • 29 cross pairs
  • 22 commodities
  • 95 exotic pairs
  • 111 indexes
  • 2 futures
  • 6 cryptocurrencies
  • and 568 stocks

We give our users an opportunity to have an alternative to Forex historical data. Download this valuable information and back test your trading system on the completely different markets, adapt your strategy and get stable profits using on any financial instrument.

Forex tick data is the best investment one can make into his or her growth as a trader. We spent much of time recording historical tick data. It was never so easy to get Forex data! Download it and start using one of the most accurate and reliable services on the Internet.

*the subscription allows you to download Forex historical data from the very first date in the database till the day your subscription expires. Watch a tutorial on how to use data service here.

If you do not have Forex Tester, you can download data in the CSV format. Free CSV data is are available here.

In addition to historical data, the Forex Tester users have access to our Historical News service. It is useful for traders as it helps them to predict the market moves and plan their trading strategies accordingly.

The news service provides news in accordance with the type of subscription to historical data that the user has selected. Together with the free historical data, all users will get access to the most important historical news for USD. The Super subscription provides news of low, medium and high importance for the 9 main currencies.

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