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1. Relationship Between Cryptocurrency Markets and Oil Futures
2. Predicting Zombie Cryptocurrency Assets Using Machine Learning Models
3. Academics Find New Determinants of Cryptocurrency Returns
4. [PLUS] Applying Logistic Regression to Make Predictions About the Next Day in Python
5. ETH Smart Contract Creation Tracking
6. Python Example to Calculate Bitcoin Supply for any Block Height
7. Tracking Ethereum Block Transaction Complexity and Gas Usage With On-Chain Data
8. [PLUS] How to Calculate the Bitcoin Network Hashrate for Any Date in Python
9. [PLUS] Working Example for Accessing Bitcoin or Ethereum Public On-Chain Blockchain Data in Python
10. How to Authenticate with the CryptoDataDownload API Token
11. Differences between On-Chain Data and Exchange Data and Related Use Cases
12. [PLUS] Predictive Power of Cryptocurrency Exchange Inflows and Our Comments
13. [PLUS] Smash Day Candlestick Trading Setup Signals in Python
14. Top 3 Reasons Why Backtesting Trading Strategies is Crucial
15. Foundational Properties of Market Volatility for Strategy Development
16. [PLUS] Combining NR4 Inside Days & Historical Volatility to Produce Trading Signals
17. Basana Backtesting library with CryptoDataDownload Data Sources
18. [PLUS] Range Contraction NR4 Breakout Trading Strategy: Python
19. How to use Backtrader with CryptoDataDownload Data: Python
20. [PLUS] Modified Whiplash Trading Strategy with Buy & Sell Signals: Python
21. Price Predictions for 2024 With ChatGPT 4
22. [PLUS] Filtered ADX Gapper Trading Strategy Code & Signals: Python
23. [PLUS] Short Term "Momentum Pinball" Trading Strategy Code & Results in Python
24. [PLUS] Implementing Turtle Soup Plus One Trading Strategy with Bitcoin and Python
25. [PLUS] How to Add Technical Analysis to OHLCV DataFrame in Python
26. [PLUS] Implementing Unsupervised Machine Learning to Segment the Ethereum Market
27. Determining Cluster Count Hyper Parameter for Unsupervised Learning KMEAN Models
28. [PLUS] Key Considerations When Building Price Forecasting Models in Crypto
29. [PLUS] Bitcoin Daily Price Change vs Total Volumes Traded Analysis: Findings
30. Put Call Parity Violations in Cryptocurrency Options: Opportunities
31. [PLUS] How to Create Aggregated OHLCV Files Using Bitstamp Minute Data
32. [PLUS] How to Find Bitcoin's Expected Price Move Implied by the Options Market
33. [PLUS] Graphing the 25 Delta Risk Reversal Volatility Skew with Hourly Binance Options
34. [PLUS] Find Any Expired Option Instrument Chain on DeriBit
35. [PLUS] Calculating & Interpreting the Implied Volatility Term Structure Spread
36. [PLUS] Alpha Creation Via Machine Learning Models: Big Picture
37. [PLUS] Developing a Long Short Term Memory (LSTM) AI Model for Bitcoin Price Prediction
38. Five Ways Cryptocurrency Derivatives Open Interest (OI) Can Change
39. Understanding OHLCV Tick Data Basics & Value as a Data Structure
40. [PLUS] Transform Binance Trade Prints into Tick OHLCV Data With Custom Tick Size in Python
41. [PLUS] Hypertuning Machine Learning Models for Better Performance
42. Basic Scoring Methods of Machine Learning Classification Models
43. [PLUS] Training a SVM Model to Predict Next Day Positive or Negative Returns
44. 3 Common Ways Market Manipulation Occurs in Cryptocurrency Markets
45. Maximal Extractable Value (MEV) Bots Profit Strategies Explained
46. [PLUS] Visualizing Bitcoin Implied Volatility Smile Using Live Data Feed
47. Understanding the difference between Option Volatility Smile & Skew
48. [PLUS] Bitcoin Spot vs BTC Quarterly Futures Basis Spread Analysis in Python
49. [PLUS] Comparing Historical Parkinson Volatility to Option Implied Volatility
50. [PLUS] Bitcoin Orderbook Volume & Statistical Properties for Best Bid/Ask
51. Pull Gemini OHLCV Timeseries in Python for any Symbol or Timeframe via API
52. [PLUS] How to download Binance Trade Print History for Any Date to CSV
53. How To Download Kucoin OHLCV API Data with Python
54. [PLUS] How To Download Binance Data in Restricted Locations w/Python(USA)
55. [PLUS] Calculate Bitcoin Price Movement Implied by DeriBit's Option Volatility Index
56. Practically Understanding Greeks Meaning for Option Value
57. [PLUS] Option Greeks Calculator for Recent DeriBit Transactions in Python
58. [PLUS] Calculating Cryptocurrency Option Delta with Python
59. Black Scholes Merton Option Model Assumptions & Cryptocurrencies
60. [PLUS] Historical OHLCV Data from Bitstamp with Python
61. Save All Symbols from Bitstamp's API with Python
62. Banking Issues, Bitcoin Outperforms
63. How to Convert the Unix Timestamp From UTC To Your Local Timezone
64. Explanation and Discussion of Cryptocurrency "Market Cap"
65. Basic Overview of the Commitment of Traders (COT) Report by the CFTC
66. Humans vs Bot Investors: Identifiable Behavioral Differences
67. Fixing Data Issues With Volumes in Timeseries
68. Ideas For Extending Length of Timeseries History
69. [PLUS] Implementation of the Tail Ratio Forecasting Model to Estimate Next Day Return
70. Research Shows Google Search Trends Can Forecast Bitcoin Price Increases
71. [PLUS] Major Cryptocurrency Risk Adjusted Return Comparisons with Sharpe Ratios
72. Cryptocurrency Functions as an Excess Liquidity Market
73. [PLUS] Finding the US Treasury Risk Free Rate (RFR) Via Par Yield Curve
74. [PLUS] Examining Correlations using Principal Component Analysis (PCA)
75. Initial Coin Offerings: Red Flags and Warning Signs
76. How to Combine Two Timeseries Together Into Single Pandas DataFrame in Python
77. Identifying Causal Relationships Between NFT and Cryptocurrency Markets
78. [PLUS] How to Query SEC Litigation API and Save Results into Pandas Dataframe: Python
79. DragonChain (DRGN) Foundation Sued by SEC for Unregistered Securities Violations
80. [PLUS] Comparing a Variety of Bitcoin Volatility Models & Discussing Results
81. [PLUS] Bitcoin Asymmetric Volatility Estimation: Improving GARCH Forecasts
82. [PLUS] How to Stream RealTime Trade Data from Binance API in Python
83. Use Python to Retrieve EUR/USD Conversion Rate from Bitstamp
84. Visualizing Inflation CPI Data Vs The Price of Bitcoin: Inflation Hedge?
85. Reputation Risk: the Elephant in the Cryptocurrency Room
86. [PLUS] Comparing Cryptocurrency Models with the Akaike Information Criterion (AIC)
87. [PLUS] How To Develop a GARCH Volatility Model for Bitcoin Prices
88. [PLUS] How to Calculate Partial Autocorrelation (PACF) using Python
89. [PLUS] How to Calculate Bitcoin Autocorrelation (ACF) with live code
90. Convert Unix UTC Field to Any Timezone
91. How to Calculate Correlation Between Bitcoin & Ethereum in Python
92. [PLUS] Use Python to Query the DeriBit API & Save All Product Details to CSV
93. [PLUS] Easily Fetch All Historical Trade Ticks from Gemini API using Python
94. [PLUS] How to Use Official FTX API Client to Retrieve Historical Funding Rates
95. [PLUS] How to Transform Minute Data into Another Timeframe in Python
96. Understanding Supervised vs Unsupervised Machine Learning Models
97. Estimating Value at Risk (VAR) on New Assets
98. Pros & Cons of the Varying Length of the VAR Lookback Window
99. [PLUS] How to Retrieve Every BTCUSD Trade Tick From Coinbase Using Python
100. [PLUS] Connecting to Kraken API via Websocket to Capture Tick Data in Real Time using Python
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