Darwinex

Darwinex

Views:
2,906,511
Subscribers:
52,200
Videos:
733
Duration:
8:10:43:03
United Kingdom
United Kingdom

Darwinex is a British content creator on YouTube with over 52.2 thousand subscribers, publishing 733 videos which altogether total approximately 2.91 million views.

Created on ● Channel Link: https://www.youtube.com/channel/UC6aYa9XjWy-HmHhyp5uN_9g



Top 100 Most Viewed Videos by Darwinex


Video TitleViewsCategoryGame
1.VaR (Value at Risk), explained148,806
2.Build Algorithmic Trading Strategies with Python & ZeroMQ: Part 175,316
3.How to Interface Python/R Algorithmic Trading Strategies with MetaTrader 454,683Guide
4.On-Balance Volume (OBV) Indicator Trading Examples53,084
5.Comparing On-Balance Volume, Money Flow Index, and Accumulation/Distribution42,801
6.Anatomy of the FIX Protocol | FIX API for Algorithmic Trading @ Darwinex34,828
7.Algorithmic Trading via ZeroMQ: Python to MetaTrader (Trade Execution, Reporting & Management)33,509Tutorial
8.Accumulation / Distribution Versus OBV | Which Indicator is Best?26,110
9.Trade via FIX API24,728
10.Money Flow Index Explained | A Volume-Based Indicator23,970
11.1.2) How to Code Multi-Symbol EAs (Expert Advisor) in MQL5 for MetaTrader (Strategy Tester and Live)23,182Guide
12.How the RVOL Relative Volume Indicator can Improve your Trading Strategies | Part 621,241
13.7.1) Using the MT5 Strategy Tester for Backtesting? Make sure you configure the execution conditions21,101
14.Build Algorithmic Trading Strategies with Python & ZeroMQ: Part 220,915
15.18) Using the Aroon Technical Indicator as a Market Regime Trend Filter20,504
16.1.1) Trading for a Living | Making it all worthwhile and reaching your full potential.20,351
17.1.1) Why a true trading edge is a scarce commodity | Algorithmic Backtesting & Optimization Series19,443
18.Algorithmic Trading via ZeroMQ: Python to MetaTrader (Subscribing to Market Data)19,396
19.How the On-Balance Volume (OBV) Indicator can Improve your Trading Strategy18,826
20.8) Migrating MQL4 to MQL5 | Configuring Indicators in your EA (Expert Advisor)18,811
21.A Trading Strategy using the Kaufman Adaptive Moving Average (KAMA)17,052
22.Initiating FIX Sessions (Logon 35=A) | FIX API for Algorithmic Trading @ Darwinex16,720Vlog
23.How the Market Facilitation Index can improve your trading strategies16,701
24.FIX API for Algorithmic Trading @ Darwinex - Introduction16,626
25.Money Flow Index | Trading Divergences and Overbought/Oversold16,587
26.Darwinex vs Prop Accounts - The 'Real' Comparison | Ask Darwinex FAQ #1116,070
27.Bienvenido al movimiento de traders independientes14,956
28.3) MT4 Setup | DWX ZeroMQ Connector for Algorithmic Trading14,927
29.How the RVOL Indicator Informs Breakout Strategies & Helps Avoid False Breakouts14,585Let's Play
30.The Kaufman Adaptive Moving Average Indicator (KAMA)14,353
31.28) Lagging vs Leading Indicators & How To Use Them | SMA EMA KAMA MAVs14,315Guide
32.5.1) The Right Way to Develop Algorithmic Trading Systems | Algo Trading for a Living14,134
33.17) Using Trend Filters to Filter Out Low-Probability Trading Signals14,005
34.1.1) Why you REALLY need to start using Multi-Symbol Expert Advisors in MetaTrader 513,820
35.9) MT5 Strategy Tester Agents | Multi-Threaded Backtesting13,753
36.15) Using a 'percent-based' ATR (Average True Range) Volatility Filter13,426
37.Meet the Customer Success Team | #InsideDarwinex12,590
38.6.1) How to Use MT5 Custom Symbols (Imported and Calculated)12,532Guide
39.Free MQL Coding Tutorials Series | MetaTrader MT5/MT4 (MQL5/4)12,445Tutorial
40.Seminario web de bienvenida para inversores12,383
41.1) Introduction | QuickFIX Application R&D for Algorithmic Trading12,114
42.19) How to Develop Trading Systems using Trend Filters and Indicator Triggers11,982
43.27) Build Algorithmic Trading Strategies by Combining Oscillators and Trend Following Indicators11,767
44.Quant Workflow | Algorithmic Trading Strategy R&D in Python11,743
45.¿Qué diferencia a un DARWIN de su estrategia subyacente?11,452
46.21) Using Trend-Following Indicators (SMA, EMA,...) in Systematic Trading Strategies11,446
47.12) Using Indicators for Probability-Based Predictions of Future Price Action in Trading Systems11,047
48.12.1) What is 'Walk Forward Analysis' and how does it improve Trading System Optimizations10,886
49.Orders, Deals & Positions in MetaTrader 5 (MQL5) - Part 110,871
50.1.3) Advanced MQL Techniques - Coding a Multi-Symbol Expert Advisor (EA) for MetaTrader 510,692
51.RSI vs Stochastic RSI Results - Which is the better indicator for O/B O/S Trading Strategies?10,670
52.9.1) How to Develop Algo Trading Systems using Indicators10,662Guide
53.The KAMA Indicator Calculation | How and why it works | Kaufman Adaptive Moving Average9,935
54.12) How to Configure Local Network Farm Agents in the MT5 Strategy Tester9,846Guide
55.9.2) Using Indicators to Build Algo Trading Systems | Best-Practice Approach9,721
56.1) Gestión monetaria y riesgo en estrategias de trading9,573
57.Migrating from MQL4 to MQL5: Guidance for Algorithmic Traders9,491
58.FIX Trading & SSL Connections | FIX API for Algorithmic Trading @ Darwinex9,438
59.Entrevista al DARWIN ZVQ o cómo ganar durante 10 años consecutivos9,343
60.¿95% de perdedores?9,333
61.1.2) Is your trading backtest a 'Stochastic Illusion' or a 'Real Edge'? | Algo Optimization Series9,304
62.Using the RVOL Indicator to aid Trend and Trading Range Predictions | Part 79,173
63.Coding RSI and Stochastic RSI Trading Strategy Algos | Overbought-Oversold Tutorial9,150Tutorial
64.Optimizing MT4 Performance & Trade Latency on VPS Servers for Algorithmic Trading9,069
65.12.2) Using 'Walk Forward Optimization' to Improve Trading Results | Walk Forward Analysis9,062
66.Indicator Examples | Market Facilitation Index | Trading Indicators in Practice8,649
67.Which Technical Indicators Provide a Genuine Trading Edge?8,529
68.23) How Algorithmic Traders Can Identify Market Trends | Moving Averages8,524
69.Trading Volume Spikes | What do they mean and how to trade them? | Volume Indicators8,462
70.25) How Triple Moving Averages Help Classify Market Regimes | Technical Trading8,430Let's Play
71.14) Using Market Regime Volatility Filters to improve Trading System Results8,425
72.1) Intro | DWX ZeroMQ Connector for Algorithmic Trading8,285
73.6) Installing QuickFIX for Python | QuickFIX Application R&D for Algorithmic Trading8,278
74.CFDs vs Futures8,240
75.24) Using Dual Moving Averages to Identify Market Trends | Algo Trading8,221
76.13.1) Walk Forward Analysis Best-Practice | Improving your Trading Strategy Optimizations8,201
77.41) Correlation between Stock Indices, FX and Commodities | A Macro-Economic Study8,175
78.26) Advanced Techniques to Categorize Trading Market Regimes | Algo Trading8,112
79.Improving your Trading Strategies with Darwinex Platform Tools | Introduction8,004
80.20) Using Market Regime Filters in Systematic Trading Strategies7,924
81.Using Volume Data and Volume Indicators to Improve Trading Decisions | Part 1 | Volume Basics7,895
82.11.1) How to Ensure your Backtest Results are Indicative of Future Live Trading Performance7,893Guide
83.11.2) Understanding Tick Data, M1 OHLC, and Open Price Models in the MetaTrader Strategy Tester7,871
84.Using the Efficiency Ratio to Measure Market Noise | Real-world Trading Strategies7,800
85.1.3) Random vs Long-Term Edge Example | Algorithmic Backtesting & Optimization for Alphas7,792Let's Play
86.13) Developing Trading Systems by Combining Technical Indicator Triggers with 'Market Type' Filters7,639
87.16) Matching Volatility Filters with Timeframes of Trade Open & Close Triggers7,395
88.15.2) Profit Factor, Return/Max Drawdown, Sharpe Ratio, Expected Payoff.. which is best? (PART 2)7,383
89.Developing a Profitable Trend-Continuation Trading System7,259
90.Fast Track Your Trading7,257
91.Designing Profit-Taking Exits for Trading Strategies7,216
92.The Market Facilitation Index Calculation and the Indicator Signals it Provides7,179
93.7) Example Usage | DWX ZeroMQ Connector for Algorithmic Trading7,088
94.Introducción a los atributos de un DARWIN7,062
95.1.2) Algo Trading for a Living | Are you over-leveraging, and risking everything?7,061
96.1.1) Introduction to Quantitative Trading | Quantitative Alpha R&D for Traders7,042Let's Play
97.Trader Evolution | From ‘Trading as a Hobby’ to ‘Trading for a Profession’7,003
98.1) Money Management & The Risk of a Trading Strategy6,968
99.1.4) The Probability Distribution of your Trading Edge | Algo Backtesting & Optimization Series6,963
100.Trading Strategy Analysis using Darwinex & Van Tharp's R-Multiples6,897