using System; using System.Linq; using cAlgo.API; using cAlgo.API.Indicators; using cAlgo.API.Internals; using cAlgo.Indicators;   namespace cAlgo.Robots {     [Robot(TimeZone = TimeZones.UTC, AccessRights = AccessRights.None)]     public class StochasticBot : Robot     {         [Parameter("Quantity (Lots)", Group = "Volume", DefaultValue = 0.01, MinValue = 0.01, Step = 0.01)]         public double Quantity { get; set; }           [Parameter("Take Profit", Group = "Risk", DefaultValue = 150, MinValue = 4, Step = 1, MaxValue = 1000)]         public int takeProfit { get; set; }           [Parameter("Stop Loss", Group = "Risk", DefaultValue = 150, MinValue = 4, Step = 1, MaxValue = 1000)]         public int stopLoss { get; set; }           [Parameter("Percent K", Group = "Stochastic", DefaultValue = 150, MinValue = 4, Step = 1, MaxValue = 1000)]         public int percentK { get; set; }           [Parameter("Percent K Slow", Group = "Stochastic", DefaultValue = 150, MinValue = 4, Step = 1, MaxValue = 1000)]         public int percentKSlow { get; set; }           [Parameter("Percent D", Group = "Stochastic", DefaultValue = 150, MinValue = 4, Step = 1, MaxValue = 1000)]         public int percentD { get; set; }             private StochasticOscillator stochasticOscillator;         private double volumeInUnits;               protected override void OnStart()         {             volumeInUnits = Symbol.QuantityToVolumeInUnits(Quantity);             stochasticOscillator = Indicators.StochasticOscillator(percentK, percentKSlow, percentD, MovingAverageType.Exponential);         }           protected override void OnBar()         {             if (stochasticOscillator.PercentK.Last(2) < stochasticOscillator.PercentD.Last(2))             {                 if (stochasticOscillator.PercentK.LastValue > stochasticOscillator.PercentD.LastValue)                 {                     Print(stochasticOscillator.PercentK.LastValue);                     ExecuteMarketOrder(TradeType.Buy, SymbolName, volumeInUnits, "Stochastic", stopLoss, takeProfit);                 }             }             if (stochasticOscillator.PercentK.Last(2) > stochasticOscillator.PercentD.Last(2))             {                 if (stochasticOscillator.PercentK.LastValue < stochasticOscillator.PercentD.LastValue)                 {                     ExecuteMarketOrder(TradeType.Sell, SymbolName, volumeInUnits, "Stochastic", stopLoss, takeProfit);                 }             }         }           protected override void OnStop()         {             // Put your deinitialization logic here         }     } }

Run this tool and click on the chart price you want to set as a stop loss and an entry order with a stop loss will be sent.    Other tools can be downloaded from Gumroad. (for free) ajinori  

Visit: https://arbfy.com/  

This is a Simple Trading Panel, that allows you to backtest your strategies, by setting you Stop Loss in Pips, Take Profit in Pips, choosing the the number of Lots, and it also allows you to move your Take Profit and Stop Loss manual. Grupo CTrader em Portugues -->>  https://t.me/ComunidadeCtrader   ly. Whenever you open a order with a Stop Loss or a Take Profit, the Cbot will plot horizontal lines on them so that you can manualy move them.

We are happy to announce our new fully automated Forex trading bot, AlgoBotForex (ABF). This bot trades on the foreign exchange (forex) market. You can sit back and relax while your bot does the market analysis and the trading. Everybody who has a steady internet connection can use the ABF bot. It enables you to reach your financial goals even if you don't have any experience at all. ABF specifications: Volume and price action analysis- Risk analysis Long and short term analysis Margin control Stop loss and profit target Trading automation Back test proof Advance user input Flexibility It can be very time consuming when you want to make money on the forex market. You need to analyse the market, define your strategy and place your orders at the perfect time. To do all that with great accuracy can be very stressful. You will always be busy with questions like: Do I understand the market? Is this the time to buy or sell? Why does the market go in the opposite direction? Have I missed out on something? Do I need more time to do the analysis all over again? In our honest opinion, your time and mental health are far more valuable than money. That is why we decided to build a bot which will do the job for you. Don't you want to make money while you enjoy your valuable time? If you want to generate a passive income, the ABF bot can make it happen. Let us explain! We are active forex traders with more than 10 years of combined experience, and have developed a special trading system for the forex market. With AI technology, we translated our strategy to a bot. Our ABF bot uses our trading strategy to beat the market over and over again. Since the bot doesn't have any emotions, its decisions are purely based on extensive calculations. There is no space for human errors which is needed for the real market. Over the past few years we went through some very extensive testing periods. The aim of this period was to test and adjust the bot until we were confident that it is able to make profits in any market conditions. For that we simulated the environment using data of the past few years and used our bot to record its performance. The results were impressive and outstanding. The results are given in the figure below.  Market Pair        EUR/USD    USD/CAD    USD/JPY Starting capital    €1.000        €1.000        €1.000    Profit in %            212%        212%           114% End capital         €3.101        €3.121        €2.143 Are you curious to see more? Check out our complete report of our results at:  www.algobotforex.com/performance Does this sound too good to be true? We are convinced that ABF bot will perform outstandingly. Download the demo version for free, and see it for your self! Request a demo version at https://www.algobotforex.com/shop.   Here is an example of our performance. As you can see, the profit is consistant.  EURUSD                

Trailing Stop  Take Profit (1,2,3,4) Break Even

 BBands Trend Follower / cTrader platform - Automatic Trading System New release "BBands Trend Follower 02.21" In the new release we have added and implemented the following parameters: - Strategy Auto Select: with the cBot running, change automatically the strategy (Reverse or Breakout) after a certain number of losses specifying from the parameters after how many losing trades will be applied. - Gap/Spike Protection: It protects against opening "Gaps" and sudden "Spikes" that can generate continuous opening and closing of positions. - Solo SL/TP exit: if selected, it uses StopLoss or TakeProfit as the only exit strategy. - SL/TP & BreakEven: if selected, it helps the main exit strategy or the "Solo SL / TP exit" in bringing the StopLoss above EntryPrice as soon as you are in profit. - Money Management (Position Sizing) on winning and loosing trade. If the previous position was closed with a profit, increase the volume of the next position. If, on the other hand, the previous position was closed at a loss, it decreases the volume of the next position. From the parameters you can set the amount of volume to increase or decrease by setting the number of trades where to apply it. Gap/Spike Protection: Opening Gap Spike Equity Line with "Gap/Spike Protection OFF"   Equity Line with "Gap/Spike Protection ON" ---------------------------------------------------------------------------- The Trading System uses Bollinger Bands for volatility, but is used in a different way than usual, with long periods and Standard Deviation from 0.1 to 1 with a weighted moving average (it looks like a river). The Bollinger Bands serve mainly as a filter in entering the market avoiding periods of laterality. cBot can be set as Reverse or Breakout strategy, the optimization will indicate the best strategy for each particular Currencies Cross, indices, Metals, Crypto Currencies. Exit strategy is Trend Follower. This strategy is characterized by more trades in loss of small amounts and less trades in gain with larger amounts, the ratio is 55/60% trades in loss and 45/40% trades in gain. The strategy exploits the evolution of the trend while cutting losing positions if the market moves against. Money Management with Position Sizing on winning and loosing trades. In the event that there is a series of loss trades, Position Sizing (on Lose) is very effective as it reduces the amount of volume (lots) after each losing trade. If you have a series of winning trades the Position Sizing (on gain) increases the volume (lots) quantity after each winning trade. Money Management can be activated or deactivated. STRATEGIES DO NOT USE ANY GRID SYSTEM OR MARTINGALE In the markets of the major Forex Currencies Crosses, Metals, oil, Indices and Crypto some of them adapt better on Reverse/Breakout strategies and you can find it out through optimization. DOWNLOAD DEMO VERSION In the strategy:(All positions are protected with StopLoss) - Select Reverse/Breakout strategy - Strategy Auto Select - Gap/Spike Protection - Solo SL/TP exit - SL/TP & BreakEven - StopLoss & TakeProfit are automatically assigned. (Depending on volatility and volume traded in the book) - Money Management (Position Sizing) on winning and loosing trade.  - Exit Strategy: Trend Follow (TakeProfit is floating and is used only as security in case the bot is no more controllable due to connection failure or other causes. When the Bot is active the position is closed only by the StopLoss which Trails). - As soon as you enter the market if the price moves against your position, the Position is closed before the stop Loss is touched. As soon as the Trend Follower is automatically activated, the position is closed only by the Trailing Stop Loss. The Trading System has been designed to work at the best with all types of Forex Cross Currencies, Metals, Oil, Indices, futures and Crypto Currencies that are sensible to Reverse or Breakout strategies. Pay attention to the Trade volume for each instrument as it changes from Forex to CFD (Indices, Metals, Oil, Futures and Crypto Currencies). Some Brokers for CFDs give you the opportunity to trade all of them with micro lots. Others use different Lotsize (example for Indices minimum 1 contract, Gold 0.1 / 1 Oz). In the Trading System, if you enter a wrong Volume value, the Bot will automatically use the minimum tradable volume. Warning: when trading CFDs the results can vary widely between one broker and another. The suggestion is to operate on CFDs using the same broker in which the optimization was made. Backtest and optimization must be done considering the following parameters at best (lined up in sequence of importance and priority): - SharpRatio: (which is a reward to risk ratio) minimum value 0.13 - Max Balance Drawdown & Max Equity Drawdown: Max 15% better under 10%. Discard higher values. Rather than earning, you should consider what you can lose. If you don't pay attention to Drawdown, working with a high leverage is very easy to lose the whole capital. With high leverage you can earn a lot compared to the capital but you can also easily drain the whole account. Using Position Sizing (on gain) you can double or triple the earnings and in this case the Drawdown can go up to max 23%. Do it only if it is worth on increasing the gain. To reduce the Drawdown use Position Sizing (on lose) the gain in this case will be slightly reduced. - Profit Factor: minimum value 1.40 - better if it is higher than 1.50 - Net Profit - Trades number: all optimizations must be done over a minimum of 8/9 years period to have reliable results. - Average Trade: The average earnings for each individual trade. Considering an initial capital of $ 10,000, 200 leverage, (Forex) ordersize (bet) 0.10 lots (10,000 volume). The Average Trade must be more then 20.00 $ per Trade P.S .: When you optimize or backtest put Commission to 50 (x million) and Spread to 2 for major Forex crosses and more for minor crosses. This is used to amortize slippage. - The parameters attached to the bot have been optimized using ICMarket Broker from 08/02/2011 to 01/03/2020. (with some parameters the Drawdown comes out higher then 15% because it was worth pushing on the Money Management (Position Sizing on gain). Initial capital of $ 10,000, 200 leverage - Forex Currencies: ordersize (bet) 0.10 lots (10,000 volume), Commission 50(x million) and Spread to 2. - BitCoin/USD: ordersize (bet) 0.30 lots, Commission 50(x million) and Spread to 167.   To avoid "Over-Fitting": - Optimizations and Backtests must be performed for at least 8/9 or more years for reliable results. The optimization done on short periods is not absolutely reliable. Professional traders optimize and backtest their automatic systems using very long periods (10/15/20 years) of data feeds with paid Data Feeds providers. All Brokers who use cTrader platform for Forex give a free set of Data Feeds of about 8/9 years and for CFDs 5/6 years. - To test if the parameters obtained are robust, do backtests by varying them slightly (do not change REVERSE/BREAKOUT selection). If you get positive results, even if qualitatively lower than the optimized ones, this means that the parameter set is robust and not "Overfitted". ---------------------------------------------------------------------- DOWNLOAD DEMO VERSION Active.cTrader.Bot HomePage Contacts write to: active.ctrader.bot@gmail.com ======================================================          

VFX MultiSymbol Spread Analyzer allows you to analyze, evaluate, and compare spreads and trading costs of multiple symbols from the historical Tick data of various brokers. You can set up the following parameters: Watchlist [1-3] Name of the Watchlist with symbols charged commission fee of the selected type Commission [1-3] Commission amount charged by the broker. It is converted by the analyzer to the equivalent pips. Together with the average symbol spread this represents the total cost of trade of the symbol: total cost = average spread (avg) + commission pips (comm) Type [1-3] Commission type charged by the broker (for one side of the trade; i.e. round turn / 2): USD_mil - in USD per 1 million USD_lot - in USD per 1 lot Pct_vol - in % of the volume traded UTC Hours Shift Time zone correction Start / End Hour Time interval of each day during which the robot will analyze the spread (useful for analyzing selected markets hours only) Export to File You can choose to export the aggregated results of one broker's account to a .csv file (saved on the Desktop). Multiple files generated from different accounts (brokers) can be merged e.g. in MS Excel or Google Sheets for further cross-broker analysis  (see the below example) By Hours Data export can be aggregated by hours instead of the standard daily aggregation Normalize Symbol Names When selected the analyzer attempts to convert various symbol names (e.g. EURUSD and EUR/USD) used by brokers to a unified format so that data exported from different brokers can be aggregated and analyzed together (e.g. in a pivot table) See the NormalizeSymbolName() function for the mapping rules. In case of need you can add your broker's symbol names   Make sure to use the Tick data from Server (accurate) for Backtesting (you can ignore the Starting Capital and Commission fields): Choose the time period over which you want to analyze the spreads (no more than 1 year is suggested if you use the Create File together with By Hours option) IMPORTANT NOTE: Should you experience errors during the backtest run, ensure the start date is a working day ​The aggregated results are written to the Log: min - minimum spread identified max - maximum spread identified avg - calculated average spread comm - commission fee converted to the equivalent pips total cost - total cost in pips normalized - total cost in "normalized pips" where pip size is determined by the analyzer for each symbol. This ensures the normalized pips to have the same size for selected symbol across all tested brokers, thus allowing for an easier total costs comparison ATR - total cost as the % of the average daily ATR of the selected symbol; the best way of comparing cost of trading of symbols of various asset groups (eg. FX vs metals vs indices vs crypto) ticks - total number of ticks detected and used for the analysis   Example of a further analysis of the extracted data in MS Excel PivotTable: Version history: 1.0    - initial release 1.1    - commission-free watchlist added 1.2    - normalized total pips added to the log output and the exported file 1.3    - fixed usage of normalized symbol names in the backtesting log 1.4    - minor enhancements 1.5    - commission types per lot and % of volume added          - inputs reorganized to 3 watchlists, type of each and commission can be selected          - Start and End hour inputs added (allows measuring only a selected intraday interval)           - total ticks measured and total cost as % ATR columns added to the log output and the exported file          - list of symbol names for normalization extended to cover more brokers

//OrglobalFx_BreakEven cBOT // orglobalng@gmail.com // Will move stoploss to breakeven and trail the price.

#Sarry is one of the most powerful scalper ever, if you don't believe me download the backtest only version and do your tests. Download Here    

20U$ - Send the proof of payment to: deniscabral92@gmail.com, and I will send you the bot and configuration activated for 1 account. The attached robot for download is not the same as the result, download only by email.   Donate to DENIS CABRAL LOPES - ME      

Super-EA was developed in early 2021, initially on cTrader platform and then rewritten to Metatrader-5. This EA uses a trend follower strategy by a complex algo that detects the trend on different time frames and catches the momentum for the best entry. Optimizations and backtests were made for both platforms on EURUSD with real-time ticks from 01.01.2020 to 31.12.2020. For more info please visit: www.algoguru.hu