OPS Optimized Parameter Selector

If you optimize your EA with backtest+forward, this is the script you need.

Imagine this: you have 10k simulations in the Optimization step (the back test), and you get another 10k in the Forward step. Each pair of simulation is done with a set of input parameters for your EA. Then the question are: Which set of parameters should you select for live trading? What criteria should I use to select such set? How much weight should I put to profit versus draw down or versus recovery factor? 

OPS helps you to select the few parameter sets that are the "best" to simulate and finally select (by the user) a single set of parameters for the live trading.

What does "the best" mean? OPS present to you all sets that are on the Pareto front for the following metrics:

Profit,   Draw Down,    Recovery Factor,    Sharpe Ratio,    Profit Factor.

Prior to running this script, go to each table of results (optimization and forward) and create two separate CSV files by first exporting each table to a XML format files, then saving such files in CSV format. It takes one minute to do that.

Once you have the two csv files, run this script and read the results from the "Expert" tab in the Metatrader 5 terminal. Examples are given in the User manual linked below.

User Manual available in this blog post.

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Before running the Demo version of this EA, make sure that your account size matches the initial deposit input parameter (RM0) in the set file you are running. USER MANUALS, AND SET FILE LINK LYNX FEATURES - LYNX i s an expert advisor that combines Stochastic, MACD and RSI indicators to signal the entry of a trade. It trades ANY Forex symbol, ANY metal symbol. Use major ones: combinations of USD, GBP, JPY, EUR, AUD, CAD, XAU. User may run any number of symbols in parallel by running an instance
Risk Parity Portfolio
Better Trader Every Day
The RPP script computes the optimum weights of a portfolio of symbols (stocks, forex pairs, indices, etc.) using the Risk Parity Algorithm. You can read the theory of the Risk Parity algorithm in this Wikipedia page . Inputs : 1) Symbols in the portfolio. 2) Time frame you are interested in. 3) Number of past bars to compute the correlations. 4) Print the covariance matrix (true/false) 5) Print the correlation matrix (true/false) Output : Optimum weights for each symbol in the portfolio. These
A more detailed explanation with examples of PEF input/output is found in   this blog page. 1. Overview The PEF script is a tool for portfolio optimization. It computes the Pareto E fficient F rontier between portfolio return and risk (either CVaR or Standard Deviation ) using Monte Carlo simulations and bootstrapping methods. The script enables traders and quantitative analysts to: Load historical price data for multiple instruments. Simulate portfolio outcomes with random or custom weight al
PARTy a Particule Filter EA
Better Trader Every Day
PARTy FEATURES Before running the free demo version of this EA, ma ke sure that your account size matches the initial deposit input parameter (RM0) in the set file you are running. PARTy uses the Particle filter method. The Particle Filter method for prediction is a sequential Monte Carlo technique that uses a set of random samples, or "particles," to represent the probability distribution of a dynamic system's state, updating these particles based on observed data to improve predictions over t
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