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Atalanta MT4 V 2.69

Atalanta MT4 V 2.69
Atalanta MT4 V 2.69

Atalanta MT4 V 2.69

Regular price $195.00 Sale price $35.00

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Atalanta MT4 V 2.69

$35.00
    Atalanta signals how other traders feel about a specific trading condition. This trading robot tries to get an edge over what to buy or sell by using sentiment trading, also known as sentiment analysis. As you see a trading strategy requires more than just a technical indicator's signal. Atalanta is not relying only on technical indicators but frequently overlooks sentimental analysis. Sentimental analysis is the science of interpreting the thoughts of other traders in order to foresee their next move and follow the money flow.

No optimization is necessary; the best options are set as default.
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Main features of the EA:

    There is no Grid or Martingale.
    Standard TP/SL ratio
    Stop-Loss orders for each trade
    Capital risk management
    User-friendly expert advisor
    Advanced Fibonacci Strategy
    Default Optimized Settings
    Simple installation using drag-and-drop.
    A full-service forex system that manages all elements of automatic trading.

    How do I get started with the EA?

    Live signals: Check mql5 signal.

    Link to MT4 version: https://www.mql5.com/en/market/product/90715

    EA Parameters:

    Symbols setting

    • symbols = Name of the pairs on which you wish the bot to trade
    • symbol suffix = A string to be appended at the end of the symbol name
    • symbol prefix = A string to be added at the start of the symbol name

    Performance

    • balance risk % = The percentage of the balance that will be used for each trade
    • minimum lot size = The minimum trading lot size
    • maximum lot size = The maximum trading lot size
    • trade on Friday = Puts a stop to all trade on Friday

    Bot identification settings

    • magic number = A special value associated with each position this EA takes
    • order comment  = If desired, write a brief comment on the orders

    Martingale main settings

    • Turn on Martingale = This option activates the martingale.
    • Method for calculating TP for martingale*  = You may select how to set the TP of martingale orders using these inputs
    1. Set on average of all TPs = Establish the closing level in the average of all TPs *
    2. Set all TP at initial TP = Put every TP at the final order TP level
    3. Set TP on previous order open price = TPs are set to the last order open price
    4. Distance of previous order open price = Set the TP in percentage terms from the last order open price and the current price

    Continue Martingale based on signal settings

    • Only continue Martingale when the signal comes = This option uses the RSI to determine when to begin new trades
    • Timeframe_rsi_martingale_signal = RSI timeframe setting
    • RSI period = Period of RSI for filtration
    • RSI low value = Low filter value level for RSI
    • RSI high value  = High filter value level for RSI
    • Reverse RSI = In this case, the high and low numbers are reversed

    Profit calculation setting for Martingale

    • Profit type = How much money you'll make after all martingales are closed. where you can select whether it's in percent of the balance or in US dollars
    • Profit (USD) after closing Martingale positions = If you choose USD, the profit is calculated using this number
    • Profit (% of balance) after closing Martingale positions = If you choose % of balance, this amount is used to determine the profit
    Recommendations:
    •     Recommended pairs: AUDNZD, USDCAD, CHFJPY, CADCHF, GBPCAD, GBPCHF
    •     Recommended setting: Run the expert on the AUDNZD H1 chart
    •     Recommended Lot and Risk: 1%.
    •     Brokers: all brokers offering these 6 recommended forex pairs.
    •     Minimum capital: 1000 USD
    •     Minimum leverage: 1:30 or higher with a specific setting

    Future success is not always assured by past success. This EA does not make predictions about the future; rather, each trading robot is built on the foundation of manual mass testing and extensive back testing using historical data.


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