This video collection a total of two series:
A series: Python Tutorial investment and quantify the actual digital currency
Chapter 1: Leading Course
hours Course Introduction [1] 19:49 recommended viewing
hours 2 How to Buy white USDT / Bitcoin exchange by 09:44
hours 3BITMEX Futures Exchange introduced 12 : 12
hours 4OKEX Exchange introduced 15:25
hours 5 futures market introduction 09:38
hours 6CTA strategy and program trading 09:22
hours 7 Why program trading 05:26
hours 8studyquant projects mind map 03:38
hours 9 quantify Look at 05:10 robot using
chapter 2: life is short, I PYTHON
hours 10 Why learn Python 05:? 32
hours 11Anaconda introduction and installation of 10:56
hours of 12 how to install Python extension package 04:40
hours 13Jypter notebook plug-in installation 06: 12
hours 14 courses promoters invite
chapter 3: Python base
class 15Python editor and describes how to write code to open at 13:40
hours 16Notebook startup directory settings and how to open the file NOTEBOOK 06:25
hours of 17 data structure and operation of an example of
class 18 data types: string, integer, float 07:41
hours 19 data type: list 07:12
hours 20 data type: 02:56 tuple
class 21 data type: Boolean word 05:16
hours 22 and operator control flow 18:44
23 hours a function 13:32
hours of 24 global variables and local variables 06:32
Chapter 4: Python Advanced
lessons 25Numpy (multi-dimensional array object), create an array, the array data 18:20
hours 26Numpy basic indexing and slicing, slice index, the index Boolean 22:03
hours 27 Pandas Series16: 48
chapter 5: Python senior
class 28 how to change the python, creating a virtual environment, install a new Spyder06: 51
chapter 6: Crypto Exchange Interface description] [REST OR WEBSOCKET
class 29Restful concept, Web basis, API introduction 05:48
hours 30 how to use Python to obtain Exchange market data can be viewed [20:03]
chapter 7: API open interfaces [CCXT digital currency exchange framework program]
class 31CCXT project description and code examples PYTHON 04:05
hours 32 use CCXT connection BITMEX Exchange get Quotes 05:49
hours how to use CCXT 33 connected under a single exchange transaction BITMEX 06:07
hrs 34 to repair the possibility of CCXT K line lag [very important] 13:12
hours 35 Bitmex Exchange Interface packaged as such [18:56] bonus
hours 36BITMEX Exchange Interface package 2 - [more features such as access to certain other credits positions 27:55]
number 37 hours exchange chart It is the difference between API data call 09:17
Chapter 8: OKEX Exchange V3 API interfaces
hours 38 coins and currency trading account API API usage 21:24
16:19 39 hours delivery futures contract interface and the interface
class 40OKEX Python interface to download
Chapter 9: Build your own event-driven system backtesting
hours and 41 back-tested system to build code that uses the latest demo [34:41]
lesson 42 back to test system introduction and environmental installation 15:02
hours local data back to test how 43 08:14
hrs 44 back to test how Bitcoin and other digital currencies 06:26
hours 45 local strategy backtesting and data visualization 08:06
hours 461.3 updated version supports Bitcoin back measure, report generation days, support Python3.605: 31
hours 47 statistical indicators of profitability and backtesting report generation 04:56
hours how to do parameter optimization 08:31 48
hours 49 EMA breakthrough strategy backtesting Code [] 09:51
hours on 50 Brin trends and strategies theory [12:17] back to test the code
chapter 10: arbitrage strategies to make money summarize
class mining principle introduced 06:22 51
hours 52 moving bricks and details to explain the introduction of arbitrage 09:25
hours 53 arbitrage 05: 51
hours 54 triangular arbitrage strategy 03:39
hours of 55 cross-market arbitrage hedge 05:59
chapter 11: CTA strategy
class 56CTA program trading strategies and 09:22
hours of 57 pairs moving average strategy 03:20
hours 58 track long-term trends in policy 07:29
class 59BITMEX trend Breakthrough 05:47
60 hours trading trends entry 21:31
Chapter 12: City policy shock [no codes]
61 hours shock city policies 10:40
hours 62 shocks City, practical teaching [18:43] No Code
Chapter 13: Trading system construction - design played an exit strategy
Hours 63 fixed full stop [the code] theory and 14:51
hours to move 64 full stop [the code] theory and 12:31
hours of 65 times full stop [05:35] theory and Code
chapter 14: simulated trading
hours 66 OR VPS cloud server purchasing 02:12
hours 67 firm environment deploy 06: 01
hours 68 environment to quickly build and launch a firm offer zero-based strategy [directly] to start program trading strategies 19:28
hours 69studyquant project configuration and policy explanation and started 22:20
hours more than 70 inherited quantitative trading system design 22:39
chapter 15 : intraday risk control
class 71Python connecting micro-channel strategy and risk control signal sent 07:40
hours 72Python connected nails send a message 07:12
chapter 16: FRM / Botvs algorithmic trading platform [elective]
class 73FMZ / BOTVS quantify platform introduction 04:17
hours 74 platform API demo - how to order, get Quotes code demonstrates 14:22
write strategy code when teaching hours 75 elective 17:13
hours only add 76 profit stop function 14:54
's firm 77 hours to switch back to test skills and custody firm 06:30 with the teaching
section 17: K line shape analysis technique selected from the group of credits
hours Cup-78K line pattern recognition 18:32
hours 06:50 upward gap 79 Quantifying
Chapter 18: Catalyst digital currency quantitative trading framework [elective]
class 80Catalyst environment to build + import data 04:23
Chapter 19: Bonus additional extra curricular
hours 81 provided Bitmex 2-year data, other exchanges data can also provide data to support [free]
hours 82 repair the possibility of CCXT K line lag [very important] 13:12
chapter 20: mining of those things that is [currency trading ring case analysis] [elective]
hours and 83 transactions, which introduces a classic case study of mining 04:56
arbitrage theory 04:03 hours 84
hours 85 transaction that is the nature of mining and trading strategy risk analysis 09:31
hours from 86 turnover algorithm design and scalping robot code that explains 16:03
chapter 21: MongoDB databases such as the use VNPY will learn [] [ non-essential]
class 87MongoDB database describes 01:41
hours 88 database installation 01:35
hours start service configuration database 89 05:59
hrs 90 MongoDB database operations using Python 13:48
hours 91 database installation package
Series 2: digital currency python quantitative investment:
Lesson 1:: Chapter 1 describes the quantitative investment
class 11.1: What is quantitative investment 12:50
hours 21.2: digital currency market characteristics 22:17
hours 31.3: 2018 quantified currency speculation seven play Replay 33:07
hours 41.4: quantitative strategies case: Excel presentation is scheduled to vote strategy 16:24
hours 51.5: quantitative strategies case: Python demo fixed investment strategy 23:34
hours 61.6: case quantitative strategies: how to improve policies 29:16
chapter 2: course materials
class 7 course materials
section 3: special episode courses
8 hours special episode course description 00:10
hours special episode 9 course: arbitrage, 10 days 15% of the risk-free return method
class 10 special episode courses: how to automatically send a notification via nail
hours special episode 11 video lessons: how to debug the code, PyCharm use tips 43:24
hours special episode 12 courses: Internet cloud server version configuration -windows
hours 13 special episode courses: Internet cloud server configuration -macOS version of
chapter 4: Lesson 2: Bitcoin introduction
class 142.1: What is the block Chaining 30:09
hours 152.2: how to trade 18:49
hours 162.3: decentralized billing 23:45
hours 172.4: attack of bitcoin 19:52
hours 182.5: history and future of Bitcoin 13:24
chapter 5: Lesson 4: Python basis
When 194.1: installation and use of environment 19:47
hours 204.2: First Program 09:31
214.3 Hours: basic types of computing and 27:06
hours 224.4.1 list related operating variables and 26:59
hours 234.4.2 dict variables and related operations 10:45
hours 14:58 244.4.3 string related operation
hours 254.4.4 conditions statement 14:54
hours 264.4.5 loop 32:17
hours 274.5: function 15:25
hours 284.6: Exception handling 21:24
chapter 6: Lesson 5: Pandas Starter operating
hours 295.1: data import 32:49
hours 305.2: View , selected data 25:46
hours 315.3: column operations 33:32
hours 325.4: screening, treatment of missing 29:43
hours 335.5: combined, de-duplication, the time 25:00
hours 345.6: string, 26:13 scrolling operation
chapter 7: Lesson: Pandas high-level operating
hours 356.1: import data in bulk 20:49
hours 366.2: HDF data access 14:46
hours 376.3: data transition period 29:00
hours 386.4: GROUPBY 23:11 packet processing
section 8: VII Lesson: Exchange Interface
class 397.1: API Interface Overview 27:45
hours 407.2: get real-time data exchange from 35:34
hours 417.3: get real-time data (more case) 12:28
hours 427.4: automated order entry (on) 18 : 58
hours 437.5: automated order (lower) 21:11
44 hours special episode courses: Simmons take you read the source code CCXT 98:49
Chapter 9: Lesson Eight: timing strategy
class 458.0 What is the spot trading, leveraged 27:10
hours 468.1: generate trading signals 36:25
hours 478.2: calculate equity curve preparation 27:09
hours 488.3: calculate your equity curve 30:25
hours 498.4: warehouse explosion case processing 19:23
hours 508.5: 17:11 to find the optimal parameters
chapter 10: Lesson Nine: Automated trading
hours 519.1: simple automated trading system 41:54
hours 529.2: Preferences 35:11
hours 539.3: psychological firm 22:04
hours 54 105 major operations: 42
hours 559.4: real trading signal problem 06:11
chapter 11: Lesson Ten: selected from the credits strategies
class 56 "selected currency strategy" 10.1 (a) selected currency data collation 00:19
hours of 57 "selected currency strategy" 10.1 (lower) selected currency data collation 00:19
hours of 58 "selected currency strategy" 10.2 (a) currency option 00:19
hours 59 "selected currency strategy" 10.2 (next) election coin 00:19
chapter 12: Lesson Eleven: arbitrage strategies
class 6011.1 OKEx contract to explain (on) 33:03
hours 6111.2 OKEx contract to explain (at) 31: 27
hours 6211.2 acquaintance intertemporal arbitrage (on) 37:33
hours 6311.2 acquaintance intertemporal arbitrage (under) 28:19
hours 6411.3 cross Arbitrage yield calculation (on) 19:53
Hours 6511.3 intertemporal arbitrage yield calculation (under)
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