Trading Strategies and Models


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trading_strategies [2019/06/24 19:39] (current)
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 +====== Trading Strategies and Models ======
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 +===== Trading Models =====
 +  * **[[:​trading_strategies:​decisionpoint_trend_model|DecisionPoint Trend Model]]** DecisionPoint'​s mechanical trend-based approach to trading.
 +===== Trading Strategies =====
 +  * **[[:​trading_strategies:​bollinger_band_squeeze|Bollinger Band Squeeze]]** This strategy uses Bollinger Bands to identify volatility contraction that may foreshadow a significant advance or decline.
 +  * **[[:​trading_strategies:​cci_correction|CCI Correction]]** A strategy that uses weekly CCI to dictate a trading bias and daily CCI to generate trading signals.
 +  * **[[:​trading_strategies:​cvr3_vix_market_timi|CVR3 VIX Market Timing]]** Developed by Larry Connors and Dave Landry, this is a strategy that uses overextended readings in the CBOE Volatility Index ($VIX) to generate buy and sell signals for the S&P 500.
 +  * **[[:​trading_strategies:​sector_rotation_roc|Faber'​s Sector Rotation Trading Strategy]]** Based on research from Mebane Faber, this sector rotation strategy buys the top performing sectors and re-balances once per month.
 +  * **[[:​trading_strategies:​gap_trading_strategies|Gap Trading Strategies]]** Various strategies for trading based on opening price gaps.
 +  * **[[:​trading_strategies:​harmonic_patterns|Harmonic Patterns]]** An in-depth examination of harmonic chart patterns, their advantages and disadvantages,​ and strategies for how to trade them.
 +  * **[[:​trading_strategies:​ichimoku_cloud|Ichimoku Cloud]]** A strategy that uses the Ichimoku Cloud to set the trading bias, identify corrections and signal short-term turning points.
 +  * **[[:​trading_strategies:​the_last_stochastic_technique|The '​Last'​ Stochastic Technique]]** This strategy uses the Slow Stochastic Oscillator to reduce whipsaws and provide more accurate buy and sell signals.
 +  * **[[:​trading_strategies:​moving_momentum|Moving Momentum]]** A strategy that uses a three-step process to identify the trend, wait for corrections within that trend, and then identify reversals that signal an end to the correction.
 +  * **[[:​trading_strategies:​narrow_range_day_nr7|Narrow Range Day NR7]]** Developed by Tony Crabel, the narrow range day strategy looks for range contractions to predict range expansions. Advanced scan code included that tweaks this strategy by adding Aroon and CCI qualifiers.
 +  * **[[:​trading_strategies:​percent_above_moving|Percent Above 50-day SMA]]** A strategy that uses the breadth indicator, percent above the 50-day moving average, to define the tone for the broad market and identify corrections.
 +  * **[[:​trading_strategies:​percent_b_money_flow|Percent B Money Flow]]** In this strategy, the %B indicator and the Money Flow Index are used to identify the start of a new trend when both reach a bullish or bearish threshold.
 +  * **[[:​trading_strategies:​the_pre-holiday_effect|The Pre-Holiday Effect]]** How the market has performed prior to major US holidays and how that can affect trading decisions.
 +  * **[[:​trading_strategies:​rsi2|RSI(2)]]** An overview of Larry Connors'​ mean reversion strategy using 2-period RSI.
 +  * **[[:​trading_strategies:​six_month_cycle_macd|Six-Month Cycle MACD]]** Developed by Sy Harding, this strategy combines the six-month bull-bear cycle with MACD signals for timing.
 +  * **[[:​trading_strategies:​slope_performance_tr|Slope Performance Trend]]** Using the slope indicator to quantify the long-term trend and measure relative performance for use in a trading strategy with the nine sector SPDRs.
 +  * **[[:​trading_strategies:​stochastic_pop_drop|Stochastic Pop and Drop]]** Developed by Jake Berstein and modified by David Steckler, this strategy uses the Average Directional Index (ADX) and Stochastic Oscillator to identify price pops and breakouts.
 +  * **[[:​trading_strategies:​swing_charting|Swing Charting]]** An overview of what swing trading is and how it can be used to profit under certain market conditions.
 +  * **[[:​trading_strategies:​trend_composite_indicator|Trend Quantification and Asset Allocation]]** This article shows chartists how to define long-term trend reversals as a process by smoothing the price data with four different Percentage Price Oscillators. Chartists can also use this technique to quantify trend strength and determine asset allocation.