Page 2 | Algorithm — Indicateurs et Stratégies

Oscillating Market Case Study This is a little something I created to analyze the market. Ultimately, I wanted to create something that could encapsulate the entire market as best as possible. The idea was simple, use technical analysis to create cases that would indicate entry positions and exit positions for long positions initially. After completing that, I decided to add a few shorting cases. A combination of 25-30 indicators were used to create this, and the indicators were modified with a filter to create a smoothed overlay. So here's the breakdown: - 10 total cases: 7 long, 3 short - The 7 long cases are broken down into three categories; long term, medium term, short term - Short Term: OC1, OC2, STB1, STB2 - Medium Term: STB1, STB2 - Long Term: LTB1 - Shorting Cases: SC1, SC2, SC3 - The cases are both plotted as text and entry orders; this can be toggled on and off through the format menu. I suggest you use the format menu to get the most out of this script. The menu consists of toggles to turn of the plots and/or the entries. It's pretty self explanatory. Use it to keep the chart cleared and concise so you only visualise the cases that you need. Personally, the cases that have worked the best for me are: - Long Cases: OC1, OC2, STB2, LTB1 - Shorting Cases: SC2, SC3 I kept this description as short as possible, but please feel free to reach out if you have any questions. Pretty much, use the cases and see if it works for you.

Mean Reversion Algorithm Mean Reversion Algorithm

Forex Master v4.0 (EUR/USD Mean-Reversion Algorithm)DESCRIPTION Forex Master v4.0 is a mean-reversion algorithm currently optimized for trading the EUR/USD pair on the 5M chart interval. All indicator inputs use the period's closing price and all trades are executed at the open of the period following the period where the trade signal was generated. There are 3 main components that make up Forex Master v4.0: I. Trend Filter The algorithm uses a version of the ADX indicator as a trend filter to trade only in certain time periods where price is more likely to be range-bound (i.e., mean-reverting). This indicator is composed of a Fast ADX and a Slow ADX, both using the same look-back period of 50. However, the Fast ADX is smoothed with a 6-period EMA and the Slow ADX is smoothed with a 12-period EMA. When the Fast ADX is above the Slow ADX, the algorithm does not trade because this indicates that price is likelier to trend, which is bad for a mean-reversion system. Conversely, when the Fast ADX is below the Slow ADX, price is likelier to be ranging so this is the only time when the algorithm is allowed to trade. II. Bollinger Bands When allowed to trade by the Trend Filter, the algorithm uses the Bollinger Bands indicator to enter long and short positions. The Bolliger Bands indicator has a look-back period of 20 and a standard deviation of 1.5 for both upper and lower bands. When price crosses over the lower band, a Long Signal is generated and a long position is entered. When price crosses under the upper band, a Short Signal is generated and a short position is entered. III. Money Management Rule 1 - Each trade will use a limit order for a fixed quantity of 50,000 contracts (0.50 lot). The only exception is Rule Rule 2 - Order pyramiding is enabled and up to 10 consecutive orders of the same signal can be executed (for example: 14 consecutive Long Signals are generated over 8 hours and the algorithm sends in 10 different buy orders at various prices for a total of 350,000 contracts). Rule 3 - Every order will include a bracket with both TP and SL set at 50 pips (note: the algorithm only closes the current open position and does not enter the opposite trade once a TP or SL has been hit). Rule 4 - When a new opposite trade signal is generated, the algorithm sends in a larger order to close the current open position as well as open a new one (for example: 14 consecutive Long Signals are generated over 8 hours and the algorithm sends in 10 different buy orders at various prices for a total of 350,000 contracts. A Short Signal is generated shortly after the 14th Long Signal. The algorithm then sends in a sell order for 400,000 contracts to close the 350,000 contracts long position and open a new short position of 50,000 contracts).

Forex Master v2.0 (EUR/USD)This is version 2 of my Forex Master algorithm originally posted here: BACKTEST CONDITIONS: Initial equity = $100,000 (no leverage) Order size = 100% of equity Pyramiding = disabled TRADING RULES: Long entry = EMA5(RSI20) cross> 50 Profit limit = 50 pips Stop loss = 50 pips Short entry = EMA5(RSI20) cross< 50 Profit limit = 50 pips Stop loss = 50 pips Long entry = Short exit Short entry = long exit DISCLAIMER: None of my ideas and posts are investment advice. Past performance is not an indication of future results. This strategy was constructed with the benefit of hindsight and its future performance cannot be guaranteed.

SPY Master v1.0 This is a simple swing trading algorithm that uses a fast RSI-EMA to trigger buy/cover signals and a slow RSI-EMA to trigger sell/short signals for SPY, an xchange-traded fund for the S&P 500. The idea behind this strategy follows the premise that most profitable momentum trades usually occur during periods when price is trending up or down. Periods of flat price actions are usually where most unprofitable trades occur. Because we cannot predict exactly when trending periods will occur, the algorithm basically bets money on all trade opportunities during all market conditions. Despite an accuracy rate of only 40%, the algorithm's asymmetric risk/reward profile allows the average winner to be 2x the average loser. The end result is a positive (profitable) net payout. TRADING RULES: Buy/Cover = EMA3(RSI2) cross> 50 Sell/Short = EMA5(RSI2) cross< 50 BACKTEST SETTINGS: - Period = March 2011 - Present - Initial capital = $10,000 - Dividends excluded - Trading costs excluded PERFORMANCE COMPARISON: There are 657 trades, which means 1,314 orders. Assuming each order costs $2 (what I pay for at Interactive Brokers), total trading costs should be $2,628. -SPY (buy & hold) = 132.73 ---> 193.22 = +45.57% (dividends excluded) -SPY Master v1.0 = $12,649 - $2,628 = $10,021 = +100.21% DISCLAIMER: None of my ideas and posts are investment advice. Past performance is not an indication of future results. This strategy was constructed with the benefit of hindsight and its future performance cannot be guaranteed.

Simple RSI-MA Algo Beats DOW By Huge Margin Over Past 100 Years!This simple RSI-MA long/short algorithm beats the Dow by a FREAKING HUGE margin over the past century (excluding dividends and trading costs). The algorithm uses a fast SMA of the RSI as a buy/cover signal and a slow SMA of the RSI as a sell/short signal. Backtest period = 09/17/1916 - 11/02/2015 Dow = 98 --> 17,830 = +18,094% = 5.38% CAGR Algorithm = net profit + open P/L = +43,349% = 6.31% CAGR Notice how the algorithm dodged both the 30s' Great Depression and the 2008 Crisis. Pretty cool huh? :) ALGORITHM'S FORMULA (use weekly chart): Buy/Cover = MA10(RSI10) cross> 50 Sell/Short = MA50(RSI10) cross< 50 STRATEGY TESTER'S SETTINGS: - Initial cash = $10,000 - Pyramiding disabled - Re-investment enabled (order size = 100% of equity ) - Trade re-calculations disabled DISCLAIMER: None of my ideas and posts are investment advice. Past performance is not an indication of future results. This strategy was constructed with the benefit of hindsight and its future performance cannot be guaranteed.