| 101. | The Stop Loss Dilemma - Risk Management vs. Strategy Performance | 16 | |
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| 102. | 3.3) Your Trading Strategy Premise and Edge | 14 Essential Algo Trading Hints and Tips | 16 | |
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| 103. | Free Algorithmic Trading Education and Tutorial Series | 16 | Tutorial |
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| 104. | 27) Build Algorithmic Trading Strategies by Combining Oscillators and Trend Following Indicators | 16 | |
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| 105. | La historia de Darwinex como nunca antes te la habían contado | La Hora Alfa | 16 | |
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| 106. | VaR (Value at Risk), explained | 16 | |
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| 107. | 8 Ways to Improve your Backtesting and Optimization Process | Trading Strategy Development | 16 | |
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| 108. | 11.2) Understanding Tick Data, M1 OHLC, and Open Price Models in the MetaTrader Strategy Tester | 16 | |
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| 109. | 24) Using Dual Moving Averages to Identify Market Trends | Algo Trading | 15 | |
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| 110. | 14) Using Market Regime Volatility Filters to improve Trading System Results | 15 | |
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| 111. | Money Flow Index Explained | A Volume-Based Indicator | 15 | |
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| 112. | 1.1) Why you REALLY need to start using Multi-Symbol Expert Advisors in MetaTrader 5 | 15 | |
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| 113. | 9) MT5 Strategy Tester Agents | Multi-Threaded Backtesting | 15 | |
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| 114. | 43) Correlation Heatmaps for Trading Strategies | Reducing Portfolio Risk | 15 | |
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| 115. | 6.3) Real Example: How Over-Fitting occurs when Increasing Degrees of Freedom | 15 | |
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| 116. | La calidad de los traders de Darwinex, con datos | 15 | |
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| 117. | Improving Trading System Performance using Timeframe Filtering | Research Results 2 | 15 | |
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| 118. | 3.3) How to Control Bar Opening in MQL5 Multi-Symbol EAs | Step-by-Step Guide to Robust Backtesting | 15 | Guide |
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| 119. | 13) Developing Trading Systems by Combining Technical Indicator Triggers with 'Market Type' Filters | 15 | |
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| 120. | LPs, PBs, WTF? Liquidity aggregation explained | 15 | |
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| 121. | 11.1) How to Ensure your Backtest Results are Indicative of Future Live Trading Performance | 15 | Guide |
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| 122. | 11.3) Why Controlling Bar Opening in your EA’s Code is so Important when using the Open Prices Model | 15 | |
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| 123. | 19) How to Develop Trading Systems using Trend Filters and Indicator Triggers | 15 | |
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| 124. | 17) Using Trend Filters to Filter Out Low-Probability Trading Signals | 15 | |
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| 125. | Anatomy of the FIX Protocol | FIX API for Algorithmic Trading @ Darwinex | 15 | |
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| 126. | 3.1) Has your optimization overfitted your trading system? Is it really making accurate predictions? | 15 | |
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| 127. | El camino a seguir con Interactive Brokers (2/2) | 15 | |
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| 128. | Hablamos con Javier Caunedo, proveedor del DARWIN LEN | La Hora Alfa | 14 | |
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| 129. | 5.1) Avoid Over-Fitting due to Economic News Events in your Trading Optimization Process | 14 | |
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| 130. | 12.1) What is 'Walk Forward Analysis' and how does it improve Trading System Optimizations | 14 | |
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| 131. | 6.1) Find inspiration to develop new Algorithmic Trading Systems | Algo Trading from a Campervan! | 14 | |
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| 132. | Aprendiendo con los mejores: Ali Saif (integracore2), proveedor del DARWIN PLF | 14 | |
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| 133. | Meet the Customer Success Team | #InsideDarwinex | 14 | |
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| 134. | 2.4) How to Extract Optimal Parameter Values in Optimizations using Statistical Power Analysis | 13 | Guide |
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| 135. | Stochastic RSI Indicator Calculation and Rationale for its Trading Signals | 13 | |
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| 136. | 13.1) Walk Forward Analysis Best-Practice | Improving your Trading Strategy Optimizations | 13 | |
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| 137. | Ichimoku Cloud Calculations and how this Indicator Informs Support and Resistance | 13 | |
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| 138. | 21) Using Trend-Following Indicators (SMA, EMA,...) in Systematic Trading Strategies | 13 | |
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| 139. | 7.2) Taking Advantage of Psychological Biases in Algorithmic Trading | 13 | Vlog |
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| 140. | Adapting Modern Portfolio Theory to Day Trading and Swing Trading - Expected Return Calculation | 13 | |
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| 141. | 42) Research Study of Correlation between Trading Timeframes | 13 | |
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| 142. | Fábrica de alfa | 13 | |
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| 143. | 9.2) Using Indicators to Build Algo Trading Systems | Best-Practice Approach | 13 | |
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| 144. | The impact on Trading Strategies of Noise in different Timeframes | 13 | |
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| 145. | 15.1) Research Study | Which Optimization Performance Metric is best? (PART 1) | 13 | |
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| 146. | 23) How Algorithmic Traders Can Identify Market Trends | Moving Averages | 13 | |
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| 147. | Improving RSI Trading Strategies with the Equity Flow Trading Technique | 13 | |
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| 148. | 14.2) Best Practices for Logical Design when using Walk Forward Optimization / Analysis | 13 | Vlog |
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| 149. | Ponerse corto de DARWINs, análisis de desafíos | La Hora Alfa | 13 | |
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| 150. | Interactive Brokers & Darwinex: The Way Forward in 2020 (2/2) | 13 | |
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| 151. | DWX Connect: Seamlessly Link Any Trading Strategy to Darwinex | One Trader to Another (5) | 13 | Show |
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| 152. | 26) Advanced Techniques to Categorize Trading Market Regimes | Algo Trading | 13 | |
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| 153. | 7.1) Using the MT5 Strategy Tester for Backtesting? Make sure you configure the execution conditions | 13 | |
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| 154. | Identifying Trend Reversals using RSI Divergences | Spotlight on Indicators Series | 13 | |
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| 155. | Calculating the Global Minimum Variance Portfolio (GMVP) For 3 Stocks in Excel | 13 | Tutorial |
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| 156. | An over-leveraging example that will shock you | Real-world Trading | 13 | |
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| 157. | Trading Volume Spikes | What do they mean and how to trade them? | Volume Indicators | 12 | |
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| 158. | Implementing a Trend Filter for an Ichimoku Trading Strategy in MT5 | 12 | |
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| 159. | How to Diversify a Portfolio to Reduce Trading Risk | 12 | Guide |
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| 160. | ¡Lanzamos Nueva Versión de Nuestro Programa de Asignación de Capital! | 12 | |
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| 161. | Cierre de mercado diario | 12 | |
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| 162. | How the Ichimoku Indicator Determines Sentiment using Chikou Span | 12 | |
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| 163. | DARWINs vs MAMs, PAMMs, Signals, EAs & Hedge Funds | 12 | |
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| 164. | Volume Indicator Analysis during an Elliott 5th Wave - What can it tell us? | 12 | |
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| 165. | Trader Evolution | From ‘Trading as a Hobby’ to ‘Trading for a Profession’ | 12 | |
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| 166. | Migrating from MQL4 to MQL5: Guidance for Algorithmic Traders | 12 | |
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| 167. | 1.2) Algo Trading for a Living | Are you over-leveraging, and risking everything? | 12 | |
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| 168. | Selecting a Z Score in a Value at Risk (VaR) Calculation | 12 | |
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| 169. | Gestión de riesgo en Darwinex | 12 | |
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| 170. | 3) MT4 Setup | DWX ZeroMQ Connector for Algorithmic Trading | 12 | |
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| 171. | 2.1) Fine-Tuning Trading Systems by Analyzing Trade Open and Close Data | Algo Trading for a Living | 12 | |
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| 172. | Analizamos el nuevo D-Score (3/3) | La Hora Alfa | 11 | |
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| 173. | 4.3) Why your trading system can lose its edge | 14 Algo Trading Hints and Tips | 11 | |
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| 174. | How to pick a broker | Darwinex UnCut | 11 | |
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| 175. | 4.1) Why Return/MEAN-Drawdown is a better measure of trading performance than MAX Drawdown | 11 | |
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| 176. | Is your Trading Algo's Crossover Code Working Correctly? | 11 | |
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| 177. | 37) How to Balance Risk across your Diversified Portfolio | 11 | |
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| 178. | 20) Using Market Regime Filters in Systematic Trading Strategies | 11 | |
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| 179. | 1) Money Management & The Risk of a Trading Strategy | 11 | |
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| 180. | Flash crashes de mercado y cómo minimizar sus daños | La Hora Alfa | 11 | |
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| 181. | Estrategias de trading para mercados complejos y aleatorios | La Hora Alfa | 11 | |
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| 182. | 3.3) Recognising 'Fake Edge' in Trading System Optimizations - Improve robustness in your backtests | 11 | |
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| 183. | How the On-Balance Volume (OBV) Indicator can Improve your Trading Strategy | 11 | |
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| 184. | The Market Facilitation Index Calculation and the Indicator Signals it Provides | 11 | |
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| 185. | LPs, PBs, etc. - te explicamos cómo agrega tu liquidez Darwinex | 11 | |
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| 186. | 3.2) How to use ‘Open Prices’ and ‘1 minute OHLC’ in the MT5 Strategy Tester utilizing best-practice | 10 | Guide |
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| 187. | Ichimoku Trading Strategy #1 - The Tenkan-Sen Kijun-Sen Crossover | 10 | |
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| 188. | Optimizing MT4 Performance & Trade Latency on VPS Servers for Algorithmic Trading | 10 | |
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| 189. | 7.2) Using ‘Pre-Live’ Optimization to Ensure Parameters are Robust in Current Market Regimes | 10 | |
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| 190. | El camino a seguir con Interactive Brokers (1/2) | 10 | |
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| 191. | Todo lo que necesitas saber sobre la divergencia | 10 | |
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| 192. | How the RSI Calculation determines if price is OverSold or OverBought | 10 | |
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| 193. | Sorting CFDs - Negative Balance Protection? | 10 | |
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| 194. | 1.2) Is your trading backtest a 'Stochastic Illusion' or a 'Real Edge'? | Algo Optimization Series | 10 | |
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| 195. | 2.3) Using Custom Performance Metrics in MetaTrader 5 to resolve common parameter selection issues | 10 | |
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| 196. | DARWIN vs underlying strategy - what's the difference | 10 | |
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| 197. | Welcome To The Independent Trader Movement | 10 | |
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| 198. | Trading Strategy Analysis using Darwinex & Van Tharp's R-Multiples | 10 | |
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| 199. | Optimizing Position Sizing Strategies and Trading Risk Management | 10 | |
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| 200. | A Quicker way to Develop Expert Advisors in MQL5 | 10 | |
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