BTC Bull Token price history tracking allows crypto investors to easily monitor the performance of their investment. You can conveniently track the opening value, high, and close for BTC Bull Token over time, as well as the trade volume. Additionally, you can instantly view the daily change as a percentage, making it effortless to identify days with significant fluctuations. According to our BTC Bull Token price history data, its value soared to an unprecedented peak in 2025-10-03, surpassing -- USD. On the other hand, the lowest point in BTC Bull Token's price trajectory, commonly referred to as the "BTC Bull Token all-time low", occurred on 2025-10-03. If one had purchased BTC Bull Token during that time, they would currently enjoy a remarkable profit of 0%. By design, 100,000,000 BTC Bull Token will be created. As of now, the circulating supply of BTC Bull Token is approximately 100,000,000. All the prices listed on this page are obtained from Bitget, a reliable source. It is crucial to rely on a single source to check your investments, as values may vary among different sellers. Our historical BTC Bull Token price dataset includes data at intervals of 1 minute, 1 day, 1 week, and 1 month (open/high/low/close/volume). These datasets have undergone rigorous testing to ensure consistency, completeness, and accuracy. They are specifically designed for trade simulation and backtesting purposes, readily available for free download, and updated in real-time.

RUNES·X·BITCOIN Die Kursverlaufsverfolgung ermöglicht es Krypto-Investoren, die Wertentwicklung ihrer Anlagen auf einfache Weise zu überwachen. Sie können den Eröffnungswert, den Höchst- und den Schlusskurs von RUNES·X·BITCOIN sowie das Handelsvolumen im Zeitverlauf bequem verfolgen. Darüber hinaus können Sie die tägliche Veränderung sofort als Prozentsatz anzeigen, sodass Sie Tage mit erheblichen Schwankungen mühelos identifizieren können. Laut unseren Kursverlaufsdaten auf RUNES·X·BITCOIN stieg sein Wert auf einen beispiellosen Höchststand von 2025-09-27 und übertraf damit -- USD. Andererseits trat der tiefste Punkt in der Kursentwicklung von RUNES·X·BITCOIN, der gemeinhin als „RUNES·X·BITCOIN Allzeittief“ bezeichnet wird, am 2025-09-27 ein. Hätte man in dieser Zeit RUNES·X·BITCOIN gekauft, würde man derzeit einen beachtlichen Gewinn von 0% erzielen. Für RUNES·X·BITCOIN gibt es von vornherein keine Begrenzung des Gesamtangebots. Das zirkulierende Angebot beträgt derzeit -- Coins. Alle auf dieser Seite aufgeführten Kurse stammen von Bitget, einer zuverlässigen Quelle. Es ist entscheidend, sich bei der Überprüfung Ihrer Investitionen auf eine einzige Quelle zu stützen, da die Werte bei verschiedenen Anbietern variieren können. Unser historischer RUNES·X·BITCOIN-Kursdaten-Satz umfasst Daten in Intervallen von 1 Minute, 1 Tag, 1 Woche und 1 Monat (Eröffnungs-/Höchst-/Tiefst-/Schlusskurs sowie Volumen). Diese Datensätze wurden strengen Tests unterzogen, um Konsistenz, Vollständigkeit und Genauigkeit sicherzustellen. Sie wurden speziell für die Handelssimulation und das Backtesting entwickelt, stehen kostenlos zum Download bereit und werden in Echtzeit aktualisiert.

Le suivi de l'historique des prix Bitcoin Virtual Machine permet aux investisseurs crypto de suivre facilement les performances de leur investissement. Vous pouvez facilement suivre le prix d'ouverture, le prix haut et le prix de clôture de Bitcoin Virtual Machine au fil du temps, ainsi que le volume de trading. En outre, vous pouvez instantanément visualiser la variation quotidienne en pourcentage, ce qui vous permet d'identifier facilement les jours où les fluctuations sont importantes. D'après l'historique des prix Bitcoin Virtual Machine, sa valeur a atteint un sommet sans précédent en 2024-04-18, dépassant $6.83 $. D'autre part, le point le plus bas de la trajectoire du prix de Bitcoin Virtual Machine, communément appelé "plus bas niveau historique Bitcoin Virtual Machine", s'est produit le 2025-09-06. Si vous aviez acheté des Bitcoin Virtual Machine pendant cette période, vous bénéficieriez actuellement d'un profit remarquable de 8%. 100,000,000 Bitcoin Virtual Machine seront créés automatiquement. À l'heure actuelle, l'offre en circulation de Bitcoin Virtual Machine est d'environ 24,818,920. Tous les prix indiqués sur cette page ont été obtenus auprès de Bitget, une source fiable. Il est essentiel de se fier à une seule source pour vérifier vos investissements, car les valeurs peuvent varier d'un vendeur à l'autre. Notre ensemble de données historiques Bitcoin Virtual Machine comprend des données à intervalles de 1 minute, 1 jour, 1 semaine et 1 mois (prix d'ouverture/haut/bas/clôture/volume). Ces ensembles de données ont fait l'objet de tests rigoureux afin d'en garantir la cohérence, l'exhaustivité et l'exactitude. Ils sont spécialement conçus pour les simulations de trading et le backtesting, peuvent être téléchargés gratuitement et sont mis à jour en temps réel.

Le suivi de l'historique des prix The Crypto You permet aux investisseurs crypto de suivre facilement les performances de leur investissement. Vous pouvez facilement suivre le prix d'ouverture, le prix haut et le prix de clôture de The Crypto You au fil du temps, ainsi que le volume de trading. En outre, vous pouvez instantanément visualiser la variation quotidienne en pourcentage, ce qui vous permet d'identifier facilement les jours où les fluctuations sont importantes. D'après l'historique des prix The Crypto You, sa valeur a atteint un sommet sans précédent en 2021-12-05, dépassant $0.2339 $. D'autre part, le point le plus bas de la trajectoire du prix de The Crypto You, communément appelé "plus bas niveau historique The Crypto You", s'est produit le 2023-11-05. Si vous aviez acheté des The Crypto You pendant cette période, vous bénéficieriez actuellement d'un profit remarquable de -100%. 29.46B The Crypto You seront créés automatiquement. À l'heure actuelle, l'offre en circulation de The Crypto You est d'environ 0. Tous les prix indiqués sur cette page ont été obtenus auprès de Bitget, une source fiable. Il est essentiel de se fier à une seule source pour vérifier vos investissements, car les valeurs peuvent varier d'un vendeur à l'autre. Notre ensemble de données historiques The Crypto You comprend des données à intervalles de 1 minute, 1 jour, 1 semaine et 1 mois (prix d'ouverture/haut/bas/clôture/volume). Ces ensembles de données ont fait l'objet de tests rigoureux afin d'en garantir la cohérence, l'exhaustivité et l'exactitude. Ils sont spécialement conçus pour les simulations de trading et le backtesting, peuvent être téléchargés gratuitement et sont mis à jour en temps réel.

Le suivi de l'historique des prix LOBO•THE•WOLF•PUP (Bitcoin) permet aux investisseurs crypto de suivre facilement les performances de leur investissement. Vous pouvez facilement suivre le prix d'ouverture, le prix haut et le prix de clôture de LOBO•THE•WOLF•PUP (Bitcoin) au fil du temps, ainsi que le volume de trading. En outre, vous pouvez instantanément visualiser la variation quotidienne en pourcentage, ce qui vous permet d'identifier facilement les jours où les fluctuations sont importantes. D'après l'historique des prix LOBO•THE•WOLF•PUP (Bitcoin), sa valeur a atteint un sommet sans précédent en 2024-06-04, dépassant $0.004060 $. D'autre part, le point le plus bas de la trajectoire du prix de LOBO•THE•WOLF•PUP (Bitcoin), communément appelé "plus bas niveau historique LOBO•THE•WOLF•PUP (Bitcoin)", s'est produit le 2025-06-22. Si vous aviez acheté des LOBO•THE•WOLF•PUP (Bitcoin) pendant cette période, vous bénéficieriez actuellement d'un profit remarquable de 217%. 21B LOBO•THE•WOLF•PUP (Bitcoin) seront créés automatiquement. À l'heure actuelle, l'offre en circulation de LOBO•THE•WOLF•PUP (Bitcoin) est d'environ 17,504,256,000. Tous les prix indiqués sur cette page ont été obtenus auprès de Bitget, une source fiable. Il est essentiel de se fier à une seule source pour vérifier vos investissements, car les valeurs peuvent varier d'un vendeur à l'autre. Notre ensemble de données historiques LOBO•THE•WOLF•PUP (Bitcoin) comprend des données à intervalles de 1 minute, 1 jour, 1 semaine et 1 mois (prix d'ouverture/haut/bas/clôture/volume). Ces ensembles de données ont fait l'objet de tests rigoureux afin d'en garantir la cohérence, l'exhaustivité et l'exactitude. Ils sont spécialement conçus pour les simulations de trading et le backtesting, peuvent être téléchargés gratuitement et sont mis à jour en temps réel.

Context:

This dataset is an extra updating dataset for the G-Research Crypto Forecasting competition.

Introduction

This is a daily updated dataset, automaticlly collecting market data for G-Research crypto forecasting competition. The data is of the 1-minute resolution, collected for all competition assets and both retrieval and uploading are fully automated. see discussion topic.

The Data

For every asset in the competition, the following fields from Binance's official API endpoint for historical candlestick data are collected, saved, and processed.

1. **timestamp** - A timestamp for the minute covered by the row.
2. **Asset_ID** - An ID code for the cryptoasset.
3. **Count** - The number of trades that took place this minute.
4. **Open** - The USD price at the beginning of the minute.
5. **High** - The highest USD price during the minute.
6. **Low** - The lowest USD price during the minute.
7. **Close** - The USD price at the end of the minute.
8. **Volume** - The number of cryptoasset u units traded during the minute.
9. **VWAP** - The volume-weighted average price for the minute.
10. **Target** - 15 minute residualized returns. See the 'Prediction and Evaluation section of this notebook for details of how the target is calculated.
11. **Weight** - Weight, defined by the competition hosts [here](https://www.kaggle.com/cstein06/tutorial-to-the-g-research-crypto-competition)
12. **Asset_Name** - Human readable Asset name.

Indexing

The dataframe is indexed by timestamp and sorted from oldest to newest. The first row starts at the first timestamp available on the exchange, which is July 2017 for the longest-running pairs.

Usage Example

The following is a collection of simple starter notebooks for Kaggle's Crypto Comp showing PurgedTimeSeries in use with the collected dataset. Purged TimesSeries is explained here. There are many configuration variables below to allow you to experiment. Use either GPU or TPU. You can control which years are loaded, which neural networks are used, and whether to use feature engineering. You can experiment with different data preprocessing, model architecture, loss, optimizers, and learning rate schedules. The extra datasets contain the full history of the assets in the same format as the competition, so you can input that into your model too.

Baseline Example Notebooks:

• Neural Network Starter
• LightGBM Starter
• Catboost Starter
• XGBoost Starter
• TabNet Starter
• Reinforcement Learning (PPO) Starter

These notebooks follow the ideas presented in my "Initial Thoughts" here. Some code sections have been reused from Chris' great (great) notebook series on SIIM ISIC melanoma detection competition here

Loose-ends:

This is a work in progress and will be updated constantly throughout the competition. At the moment, there are some known issues that still needed to be addressed:

• VWAP: - At the moment VWAP calculation formula is still unclear. Currently the dataset uses an approximation calculated from the Open, High, Low, Close, Volume candlesticks. [Waiting for competition hosts input]
• Target Labeling: There exist some mismatches to the original target provided by the hosts at some time intervals. On all the others - it is the same. The labeling code can be seen here. [Waiting for competition hosts] input]
• Filtering: No filtration of 0 volume data is taken place.

Example Visualisations

Opening price with an added indicator (MA50): https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234678%2Fb8664e6f26dc84e9a40d5a3d915c9640%2Fdownload.png?generation=1582053879538546&alt=media" alt="">

Volume and number of trades: https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234678%2Fcd04ed586b08c1576a7b67d163ad9889%2Fdownload-1.png?generation=1582053899082078&alt=media" alt="">

License

This data is being collected automatically from the crypto exchange Binance.

Introduction

This is a collection of all 1 minute candlesticks of all cryptocurrency pairs on Binance.com. All 80 of them are included. Both retrieval and uploading the data is fully automated—see this GitHub repo.

Content

For every trading pair, the following fields from Binance's official API endpoint for historical candlestick data are saved into a Parquet file:

 #  Column            Dtype     
--- ------            -----     
 0  open_time           datetime64[ns]
 1  open             float32    
 2  high             float32    
 3  low              float32    
 4  close             float32    
 5  volume            float32    
 6  quote_asset_volume      float32    
 7  number_of_trades       uint16    
 8  taker_buy_base_asset_volume  float32    
 9  taker_buy_quote_asset_volume float32    
dtypes: datetime64[ns](1), float32(8), uint16(1)

The dataframe is indexed by open_time and sorted from oldest to newest. The first row starts at the first timestamp available on the exchange, which is July 2017 for the longest running pairs.

Here are two simple plots based on a single file; one of the opening price with an added indicator (MA50) and one of the volume and number of trades:

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234678%2Fb8664e6f26dc84e9a40d5a3d915c9640%2Fdownload.png?generation=1582053879538546&alt=media" alt=""> https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234678%2Fcd04ed586b08c1576a7b67d163ad9889%2Fdownload-1.png?generation=1582053899082078&alt=media" alt="">

Inspiration

One obvious use-case for this data could be technical analysis by adding indicators such as moving averages, MACD, RSI, etc. Other approaches could include backtesting trading algorithms or computing arbitrage potential with other exchanges.

License

This data is being collected automatically from crypto exchange Binance.

Bitcoin Wizards Ang pagsubaybay sa kasaysayan ng presyo ay nagbibigay-daan sa mga crypto investor na madaling masubaybayan ang performance ng kanilang pamumuhunan. Maginhawa mong masusubaybayan ang opening value, high, at close sa Bitcoin Wizards sa paglipas ng panahon, pati na rin ang trade volume. Bukod pa rito, maaari mong agad na tingnan ang pang-araw-araw na pagbabago bilang isang porsyento, na ginagawang effortless na tukuyin ang mga araw na may significant fluctuations. Ayon sa aming data ng history ng presyo ng Bitcoin Wizards, tumaas ang halaga nito sa hindi pa naganap na peak sa 2024-04-15, na lumampas sa $197.75 USD. Sa kabilang banda, ang pinakamababang punto sa trajectory ng presyo ni Bitcoin Wizards, na karaniwang tinutukoy bilang "Bitcoin Wizards all-time low", ay naganap noong 2024-05-28. Kung ang isa ay bumili ng Bitcoin Wizards sa panahong iyon, kasalukuyan silang masisiyahan sa isang kahanga-hangang kita na 14,740%. Sa pamamagitan ng disenyo, ang 21,000,000 Bitcoin Wizards ay malilikha. Sa ngayon, ang circulating supply ng Bitcoin Wizards ay tinatayang 0. Ang lahat ng mga presyong nakalista sa pahinang ito ay nakuha mula sa Bitget, galing sa isang reliable source. Napakahalagang umasa sa iisang pinagmulan upang suriin ang iyong mga investment, dahil maaaring mag-iba ang mga halaga sa iba't ibang nagbebenta. Kasama sa aming makasaysayang Bitcoin Wizards dataset ng presyo ang data sa pagitan ng 1 minuto, 1 araw, 1 linggo, at 1 buwan (bukas/mataas/mababa/close/volume). Ang mga dataset na ito ay sumailalim sa mahigpit na pagsubok upang matiyak ang consistency, pagkakumpleto, at accurancy. Ang mga ito ay partikular na idinisenyo para sa trade simulation at mga layunin ng backtesting, madaling magagamit para sa libreng pag-download, at na-update sa real-time.

1 weapon price history tracking allows crypto investors to easily monitor the performance of their investment. You can conveniently track the opening value, high, and close for #1 weapon over time, as well as the trade volume. Additionally, you can instantly view the daily change as a percentage, making it effortless to identify days with significant fluctuations.

According to our #1 weapon price history data, its value soared to an unprecedented peak in 2025-10-04, surpassing -- USD. On the other hand, the lowest point in #1 weapon's price trajectory, commonly referred to as the "#1 weapon all-time low", occurred on 2025-10-04. If one had purchased #1 weapon during that time, they would currently enjoy a remarkable profit of 0%.
By design, 999,138,349.3 #1 weapon will be created. As of now, the circulating supply of #1 weapon is approximately 999,138,370.
All the prices listed on this page are obtained from Bitget, a reliable source. It is crucial to rely on a single source to check your investments, as values may vary among different sellers.
Our historical #1 weapon price dataset includes data at intervals of 1 minute, 1 day, 1 week, and 1 month (open/high/low/close/volume). These datasets have undergone rigorous testing to ensure consistency, completeness, and accuracy. They are specifically designed for trade simulation and backtesting purposes, readily available for free download, and updated in real-time.

Context:

This dataset is an extra updating dataset for the G-Research Crypto Forecasting competition.

Introduction

This is a daily updated dataset, automaticlly collecting market data for G-Research crypto forecasting competition. The data is of the 1-minute resolution, collected for all competition assets and both retrieval and uploading are fully automated. see discussion topic.

The Data

For every asset in the competition, the following fields from Binance's official API endpoint for historical candlestick data are collected, saved, and processed.

1. **timestamp** - A timestamp for the minute covered by the row.
2. **Asset_ID** - An ID code for the cryptoasset.
3. **Count** - The number of trades that took place this minute.
4. **Open** - The USD price at the beginning of the minute.
5. **High** - The highest USD price during the minute.
6. **Low** - The lowest USD price during the minute.
7. **Close** - The USD price at the end of the minute.
8. **Volume** - The number of cryptoasset u units traded during the minute.
9. **VWAP** - The volume-weighted average price for the minute.
10. **Target** - 15 minute residualized returns. See the 'Prediction and Evaluation section of this notebook for details of how the target is calculated.
11. **Weight** - Weight, defined by the competition hosts [here](https://www.kaggle.com/cstein06/tutorial-to-the-g-research-crypto-competition)
12. **Asset_Name** - Human readable Asset name.

Indexing

The dataframe is indexed by timestamp and sorted from oldest to newest. The first row starts at the first timestamp available on the exchange, which is July 2017 for the longest-running pairs.

Usage Example

The following is a collection of simple starter notebooks for Kaggle's Crypto Comp showing PurgedTimeSeries in use with the collected dataset. Purged TimesSeries is explained here. There are many configuration variables below to allow you to experiment. Use either GPU or TPU. You can control which years are loaded, which neural networks are used, and whether to use feature engineering. You can experiment with different data preprocessing, model architecture, loss, optimizers, and learning rate schedules. The extra datasets contain the full history of the assets in the same format as the competition, so you can input that into your model too.

Baseline Example Notebooks:

• Neural Network Starter
• LightGBM Starter
• Catboost Starter
• XGBoost Starter
• TabNet Starter
• Reinforcement Learning (PPO) Starter

These notebooks follow the ideas presented in my "Initial Thoughts" here. Some code sections have been reused from Chris' great (great) notebook series on SIIM ISIC melanoma detection competition here

Loose-ends:

This is a work in progress and will be updated constantly throughout the competition. At the moment, there are some known issues that still needed to be addressed:

• VWAP: - At the moment VWAP calculation formula is still unclear. Currently the dataset uses an approximation calculated from the Open, High, Low, Close, Volume candlesticks. [Waiting for competition hosts input]
• Target Labeling: There exist some mismatches to the original target provided by the hosts at some time intervals. On all the others - it is the same. The labeling code can be seen here. [Waiting for competition hosts] input]
• Filtering: No filtration of 0 volume data is taken place.

Example Visualisations

Opening price with an added indicator (MA50): https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234678%2Fb8664e6f26dc84e9a40d5a3d915c9640%2Fdownload.png?generation=1582053879538546&alt=media" alt="">

Volume and number of trades: https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234678%2Fcd04ed586b08c1576a7b67d163ad9889%2Fdownload-1.png?generation=1582053899082078&alt=media" alt="">

License

This data is being collected automatically from the crypto exchange Binance.

Context:

This dataset is an extra updating dataset for the G-Research Crypto Forecasting competition.

Introduction

This is a daily updated dataset, automaticlly collecting market data for G-Research crypto forecasting competition. The data is of the 1-minute resolution, collected for all competition assets and both retrieval and uploading are fully automated. see discussion topic.

The Data

For every asset in the competition, the following fields from Binance's official API endpoint for historical candlestick data are collected, saved, and processed.

1. **timestamp** - A timestamp for the minute covered by the row.
2. **Asset_ID** - An ID code for the cryptoasset.
3. **Count** - The number of trades that took place this minute.
4. **Open** - The USD price at the beginning of the minute.
5. **High** - The highest USD price during the minute.
6. **Low** - The lowest USD price during the minute.
7. **Close** - The USD price at the end of the minute.
8. **Volume** - The number of cryptoasset u units traded during the minute.
9. **VWAP** - The volume-weighted average price for the minute.
10. **Target** - 15 minute residualized returns. See the 'Prediction and Evaluation section of this notebook for details of how the target is calculated.
11. **Weight** - Weight, defined by the competition hosts [here](https://www.kaggle.com/cstein06/tutorial-to-the-g-research-crypto-competition)
12. **Asset_Name** - Human readable Asset name.

Indexing

The dataframe is indexed by timestamp and sorted from oldest to newest. The first row starts at the first timestamp available on the exchange, which is July 2017 for the longest-running pairs.

Usage Example

The following is a collection of simple starter notebooks for Kaggle's Crypto Comp showing PurgedTimeSeries in use with the collected dataset. Purged TimesSeries is explained here. There are many configuration variables below to allow you to experiment. Use either GPU or TPU. You can control which years are loaded, which neural networks are used, and whether to use feature engineering. You can experiment with different data preprocessing, model architecture, loss, optimizers, and learning rate schedules. The extra datasets contain the full history of the assets in the same format as the competition, so you can input that into your model too.

Baseline Example Notebooks:

• Neural Network Starter
• LightGBM Starter
• Catboost Starter
• XGBoost Starter
• TabNet Starter
• Reinforcement Learning (PPO) Starter

These notebooks follow the ideas presented in my "Initial Thoughts" here. Some code sections have been reused from Chris' great (great) notebook series on SIIM ISIC melanoma detection competition here

Loose-ends:

This is a work in progress and will be updated constantly throughout the competition. At the moment, there are some known issues that still needed to be addressed:

• VWAP: - At the moment VWAP calculation formula is still unclear. Currently the dataset uses an approximation calculated from the Open, High, Low, Close, Volume candlesticks. [Waiting for competition hosts input]
• Target Labeling: There exist some mismatches to the original target provided by the hosts at some time intervals. On all the others - it is the same. The labeling code can be seen here. [Waiting for competition hosts] input]
• Filtering: No filtration of 0 volume data is taken place.

Example Visualisations

Opening price with an added indicator (MA50): https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234678%2Fb8664e6f26dc84e9a40d5a3d915c9640%2Fdownload.png?generation=1582053879538546&alt=media" alt="">

Volume and number of trades: https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234678%2Fcd04ed586b08c1576a7b67d163ad9889%2Fdownload-1.png?generation=1582053899082078&alt=media" alt="">

License

This data is being collected automatically from the crypto exchange Binance.

Crypto Fight Club Ang pagsubaybay sa kasaysayan ng presyo ay nagbibigay-daan sa mga crypto investor na madaling masubaybayan ang performance ng kanilang pamumuhunan. Maginhawa mong masusubaybayan ang opening value, high, at close sa Crypto Fight Club sa paglipas ng panahon, pati na rin ang trade volume. Bukod pa rito, maaari mong agad na tingnan ang pang-araw-araw na pagbabago bilang isang porsyento, na ginagawang effortless na tukuyin ang mga araw na may significant fluctuations. Ayon sa aming data ng history ng presyo ng Crypto Fight Club, tumaas ang halaga nito sa hindi pa naganap na peak sa 2021-12-26, na lumampas sa $0.1413 USD. Sa kabilang banda, ang pinakamababang punto sa trajectory ng presyo ni Crypto Fight Club, na karaniwang tinutukoy bilang "Crypto Fight Club all-time low", ay naganap noong 2025-09-18. Kung ang isa ay bumili ng Crypto Fight Club sa panahong iyon, kasalukuyan silang masisiyahan sa isang kahanga-hangang kita na 1%. Sa pamamagitan ng disenyo, ang 1B Crypto Fight Club ay malilikha. Sa ngayon, ang circulating supply ng Crypto Fight Club ay tinatayang 0. Ang lahat ng mga presyong nakalista sa pahinang ito ay nakuha mula sa Bitget, galing sa isang reliable source. Napakahalagang umasa sa iisang pinagmulan upang suriin ang iyong mga investment, dahil maaaring mag-iba ang mga halaga sa iba't ibang nagbebenta. Kasama sa aming makasaysayang Crypto Fight Club dataset ng presyo ang data sa pagitan ng 1 minuto, 1 araw, 1 linggo, at 1 buwan (bukas/mataas/mababa/close/volume). Ang mga dataset na ito ay sumailalim sa mahigpit na pagsubok upang matiyak ang consistency, pagkakumpleto, at accurancy. Ang mga ito ay partikular na idinisenyo para sa trade simulation at mga layunin ng backtesting, madaling magagamit para sa libreng pag-download, at na-update sa real-time.

Context:

This dataset is an extra updating dataset for the G-Research Crypto Forecasting competition.

Introduction

This is a daily updated dataset, automaticlly collecting market data for G-Research crypto forecasting competition. The data is of the 1-minute resolution, collected for all competition assets and both retrieval and uploading are fully automated. see discussion topic.

The Data

For every asset in the competition, the following fields from Binance's official API endpoint for historical candlestick data are collected, saved, and processed.

1. **timestamp** - A timestamp for the minute covered by the row.
2. **Asset_ID** - An ID code for the cryptoasset.
3. **Count** - The number of trades that took place this minute.
4. **Open** - The USD price at the beginning of the minute.
5. **High** - The highest USD price during the minute.
6. **Low** - The lowest USD price during the minute.
7. **Close** - The USD price at the end of the minute.
8. **Volume** - The number of cryptoasset u units traded during the minute.
9. **VWAP** - The volume-weighted average price for the minute.
10. **Target** - 15 minute residualized returns. See the 'Prediction and Evaluation section of this notebook for details of how the target is calculated.
11. **Weight** - Weight, defined by the competition hosts [here](https://www.kaggle.com/cstein06/tutorial-to-the-g-research-crypto-competition)
12. **Asset_Name** - Human readable Asset name.

Indexing

The dataframe is indexed by timestamp and sorted from oldest to newest. The first row starts at the first timestamp available on the exchange, which is July 2017 for the longest-running pairs.

Usage Example

The following is a collection of simple starter notebooks for Kaggle's Crypto Comp showing PurgedTimeSeries in use with the collected dataset. Purged TimesSeries is explained here. There are many configuration variables below to allow you to experiment. Use either GPU or TPU. You can control which years are loaded, which neural networks are used, and whether to use feature engineering. You can experiment with different data preprocessing, model architecture, loss, optimizers, and learning rate schedules. The extra datasets contain the full history of the assets in the same format as the competition, so you can input that into your model too.

Baseline Example Notebooks:

• Neural Network Starter
• LightGBM Starter
• Catboost Starter
• XGBoost Starter
• TabNet Starter
• Reinforcement Learning (PPO) Starter

These notebooks follow the ideas presented in my "Initial Thoughts" here. Some code sections have been reused from Chris' great (great) notebook series on SIIM ISIC melanoma detection competition here

Loose-ends:

This is a work in progress and will be updated constantly throughout the competition. At the moment, there are some known issues that still needed to be addressed:

• VWAP: - At the moment VWAP calculation formula is still unclear. Currently the dataset uses an approximation calculated from the Open, High, Low, Close, Volume candlesticks. [Waiting for competition hosts input]
• Target Labeling: There exist some mismatches to the original target provided by the hosts at some time intervals. On all the others - it is the same. The labeling code can be seen here. [Waiting for competition hosts] input]
• Filtering: No filtration of 0 volume data is taken place.

Example Visualisations

Opening price with an added indicator (MA50): https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234678%2Fb8664e6f26dc84e9a40d5a3d915c9640%2Fdownload.png?generation=1582053879538546&alt=media" alt="">

Volume and number of trades: https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2234678%2Fcd04ed586b08c1576a7b67d163ad9889%2Fdownload-1.png?generation=1582053899082078&alt=media" alt="">

License

This data is being collected automatically from the crypto exchange Binance.

Le suivi de l'historique des prix Crypto Gladiator Shards permet aux investisseurs crypto de suivre facilement les performances de leur investissement. Vous pouvez facilement suivre le prix d'ouverture, le prix haut et le prix de clôture de Crypto Gladiator Shards au fil du temps, ainsi que le volume de trading. En outre, vous pouvez instantanément visualiser la variation quotidienne en pourcentage, ce qui vous permet d'identifier facilement les jours où les fluctuations sont importantes. D'après l'historique des prix Crypto Gladiator Shards, sa valeur a atteint un sommet sans précédent en 2021-09-16, dépassant $0.5991 $. D'autre part, le point le plus bas de la trajectoire du prix de Crypto Gladiator Shards, communément appelé "plus bas niveau historique Crypto Gladiator Shards", s'est produit le 2024-06-14. Si vous aviez acheté des Crypto Gladiator Shards pendant cette période, vous bénéficieriez actuellement d'un profit remarquable de -100%. 3.1B Crypto Gladiator Shards seront créés automatiquement. À l'heure actuelle, l'offre en circulation de Crypto Gladiator Shards est d'environ 0. Tous les prix indiqués sur cette page ont été obtenus auprès de Bitget, une source fiable. Il est essentiel de se fier à une seule source pour vérifier vos investissements, car les valeurs peuvent varier d'un vendeur à l'autre. Notre ensemble de données historiques Crypto Gladiator Shards comprend des données à intervalles de 1 minute, 1 jour, 1 semaine et 1 mois (prix d'ouverture/haut/bas/clôture/volume). Ces ensembles de données ont fait l'objet de tests rigoureux afin d'en garantir la cohérence, l'exhaustivité et l'exactitude. Ils sont spécialement conçus pour les simulations de trading et le backtesting, peuvent être téléchargés gratuitement et sont mis à jour en temps réel.