/*!
  SerializeJSON jQuery plugin.
  https://github.com/marioizquierdo/jquery.serializeJSON
  version 3.2.0 (Dec, 2020)

  Copyright (c) 2012-2021 Mario Izquierdo
  Dual licensed under the MIT (http://www.opensource.org/licenses/mit-license.php)
  and GPL (http://www.opensource.org/licenses/gpl-license.php) licenses.
*/
(function (factory) {
    /* global define, require, module */
    if (typeof define === "function" && define.amd) { // AMD. Register as an anonymous module.
        define(["jquery"], factory);
    } else if (typeof exports === "object") { // Node/CommonJS
        var jQuery = require("jquery");
        module.exports = factory(jQuery);
    } else { // Browser globals (zepto supported)
        factory(window.jQuery || window.Zepto || window.$); // Zepto supported on browsers as well
    }

}(function ($) {
    "use strict";

    var rCRLF = /\r?\n/g;
    var rsubmitterTypes = /^(?:submit|button|image|reset|file)$/i;
    var rsubmittable = /^(?:input|select|textarea|keygen)/i;
    var rcheckableType = /^(?:checkbox|radio)$/i;

    $.fn.serializeJSON = function (options) {
        var f = $.serializeJSON;
        var $form = this; // NOTE: the set of matched elements is most likely a form, but it could also be a group of inputs
        var opts = f.setupOpts(options); // validate options and apply defaults
        var typeFunctions = $.extend({}, opts.defaultTypes, opts.customTypes);

        // Make a list with {name, value, el} for each input element
        var serializedArray = f.serializeArray($form, opts);

        // Convert the serializedArray into a serializedObject with nested keys
        var serializedObject = {};
        $.each(serializedArray, function (_i, obj) {

            var nameSansType = obj.name;
            var type = $(obj.el).attr("data-value-type");

            if (!type && !opts.disableColonTypes) { // try getting the type from the input name
                var p = f.splitType(obj.name); // "foo:string" => ["foo", "string"]
                nameSansType = p[0];
                type = p[1];
            }
            if (type === "skip") {
                return; // ignore fields with type skip
            }
            if (!type) {
                type = opts.defaultType; // "string" by default
            }

            var typedValue = f.applyTypeFunc(obj.name, obj.value, type, obj.el, typeFunctions); // Parse type as string, number, etc.

            if (!typedValue && f.shouldSkipFalsy(obj.name, nameSansType, type, obj.el, opts)) {
                return; // ignore falsy inputs if specified in the options
            }

            var keys = f.splitInputNameIntoKeysArray(nameSansType);
            f.deepSet(serializedObject, keys, typedValue, opts);
        });
        return serializedObject;
    };

    // Use $.serializeJSON as namespace for the auxiliar functions
    // and to define defaults
    $.serializeJSON = {
        defaultOptions: {}, // reassign to override option defaults for all serializeJSON calls

        defaultBaseOptions: { // do not modify, use defaultOptions instead
            checkboxUncheckedValue: undefined, // to include that value for unchecked checkboxes (instead of ignoring them)
            useIntKeysAsArrayIndex: false, // name="foo[2]" value="v" => {foo: [null, null, "v"]}, instead of {foo: ["2": "v"]}

            skipFalsyValuesForTypes: [], // skip serialization of falsy values for listed value types
            skipFalsyValuesForFields: [], // skip serialization of falsy values for listed field names

            disableColonTypes: false, // do not interpret ":type" suffix as a type
            customTypes: {}, // extends defaultTypes
            defaultTypes: {
                "string":  function(str) { return String(str); },
                "number":  function(str) { return Number(str); },
                "boolean": function(str) { var falses = ["false", "null", "undefined", "", "0"]; return falses.indexOf(str) === -1; },
                "null":    function(str) { var falses = ["false", "null", "undefined", "", "0"]; return falses.indexOf(str) === -1 ? str : null; },
                "array":   function(str) { return JSON.parse(str); },
                "object":  function(str) { return JSON.parse(str); },
                "skip":    null // skip is a special type used to ignore fields
            },
            defaultType: "string",
        },

        // Validate and set defaults
        setupOpts: function(options) {
            if (options == null) options = {};
            var f = $.serializeJSON;

            // Validate
            var validOpts = [
                "checkboxUncheckedValue",
                "useIntKeysAsArrayIndex",

                "skipFalsyValuesForTypes",
                "skipFalsyValuesForFields",

                "disableColonTypes",
                "customTypes",
                "defaultTypes",
                "defaultType"
            ];
            for (var opt in options) {
                if (validOpts.indexOf(opt) === -1) {
                    throw new  Error("serializeJSON ERROR: invalid option '" + opt + "'. Please use one of " + validOpts.join(", "));
                }
            }

            // Helper to get options or defaults
            return $.extend({}, f.defaultBaseOptions, f.defaultOptions, options);
        },

        // Just like jQuery's serializeArray method, returns an array of objects with name and value.
        // but also includes the dom element (el) and is handles unchecked checkboxes if the option or data attribute are provided.
        serializeArray: function($form, opts) {
            if (opts == null) { opts = {}; }
            var f = $.serializeJSON;

            return $form.map(function() {
                var elements = $.prop(this, "elements"); // handle propHook "elements" to filter or add form elements
                return elements ? $.makeArray(elements) : this;

            }).filter(function() {
                var $el = $(this);
                var type = this.type;

                // Filter with the standard W3C rules for successful controls: http://www.w3.org/TR/html401/interact/forms.html#h-17.13.2
                return this.name && // must contain a name attribute
                    !$el.is(":disabled") && // must not be disable (use .is(":disabled") so that fieldset[disabled] works)
                    rsubmittable.test(this.nodeName) && !rsubmitterTypes.test(type) && // only serialize submittable fields (and not buttons)
                    (this.checked || !rcheckableType.test(type) || f.getCheckboxUncheckedValue($el, opts) != null); // skip unchecked checkboxes (unless using opts)

            }).map(function(_i, el) {
                var $el = $(this);
                var val = $el.val();
                var type = this.type; // "input", "select", "textarea", "checkbox", etc.

                if (val == null) {
                    return null;
                }

                if (rcheckableType.test(type) && !this.checked) {
                    val = f.getCheckboxUncheckedValue($el, opts);
                }

                if (isArray(val)) {
                    return $.map(val, function(val) {
                        return { name: el.name, value: val.replace(rCRLF, "\r\n"), el: el };
                    } );
                }

                return { name: el.name, value: val.replace(rCRLF, "\r\n"), el: el };

            }).get();
        },

        getCheckboxUncheckedValue: function($el, opts) {
            var val = $el.attr("data-unchecked-value");
            if (val == null) {
                val = opts.checkboxUncheckedValue;
            }
            return val;
        },

        // Parse value with type function
        applyTypeFunc: function(name, valStr, type, el, typeFunctions) {
            var typeFunc = typeFunctions[type];
            if (!typeFunc) { // quick feedback to user if there is a typo or missconfiguration
                throw new Error("serializeJSON ERROR: Invalid type " + type + " found in input name '" + name + "', please use one of " + objectKeys(typeFunctions).join(", "));
            }
            return typeFunc(valStr, el);
        },

        // Splits a field name into the name and the type. Examples:
        //   "foo"           =>  ["foo", ""]
        //   "foo:boolean"   =>  ["foo", "boolean"]
        //   "foo[bar]:null" =>  ["foo[bar]", "null"]
        splitType : function(name) {
            var parts = name.split(":");
            if (parts.length > 1) {
                var t = parts.pop();
                return [parts.join(":"), t];
            } else {
                return [name, ""];
            }
        },

        // Check if this input should be skipped when it has a falsy value,
        // depending on the options to skip values by name or type, and the data-skip-falsy attribute.
        shouldSkipFalsy: function(name, nameSansType, type, el, opts) {
            var skipFromDataAttr = $(el).attr("data-skip-falsy");
            if (skipFromDataAttr != null) {
                return skipFromDataAttr !== "false"; // any value is true, except the string "false"
            }

            var optForFields = opts.skipFalsyValuesForFields;
            if (optForFields && (optForFields.indexOf(nameSansType) !== -1 || optForFields.indexOf(name) !== -1)) {
                return true;
            }

            var optForTypes = opts.skipFalsyValuesForTypes;
            if (optForTypes && optForTypes.indexOf(type) !== -1) {
                return true;
            }

            return false;
        },

        // Split the input name in programatically readable keys.
        // Examples:
        // "foo"              => ["foo"]
        // "[foo]"            => ["foo"]
        // "foo[inn][bar]"    => ["foo", "inn", "bar"]
        // "foo[inn[bar]]"    => ["foo", "inn", "bar"]
        // "foo[inn][arr][0]" => ["foo", "inn", "arr", "0"]
        // "arr[][val]"       => ["arr", "", "val"]
        splitInputNameIntoKeysArray: function(nameWithNoType) {
            var keys = nameWithNoType.split("["); // split string into array
            keys = $.map(keys, function (key) { return key.replace(/\]/g, ""); }); // remove closing brackets
            if (keys[0] === "") { keys.shift(); } // ensure no opening bracket ("[foo][inn]" should be same as "foo[inn]")
            return keys;
        },

        // Set a value in an object or array, using multiple keys to set in a nested object or array.
        // This is the main function of the script, that allows serializeJSON to use nested keys.
        // Examples:
        //
        // deepSet(obj, ["foo"], v)               // obj["foo"] = v
        // deepSet(obj, ["foo", "inn"], v)        // obj["foo"]["inn"] = v // Create the inner obj["foo"] object, if needed
        // deepSet(obj, ["foo", "inn", "123"], v) // obj["foo"]["arr"]["123"] = v //
        //
        // deepSet(obj, ["0"], v)                                   // obj["0"] = v
        // deepSet(arr, ["0"], v, {useIntKeysAsArrayIndex: true})   // arr[0] = v
        // deepSet(arr, [""], v)                                    // arr.push(v)
        // deepSet(obj, ["arr", ""], v)                             // obj["arr"].push(v)
        //
        // arr = [];
        // deepSet(arr, ["", v]          // arr => [v]
        // deepSet(arr, ["", "foo"], v)  // arr => [v, {foo: v}]
        // deepSet(arr, ["", "bar"], v)  // arr => [v, {foo: v, bar: v}]
        // deepSet(arr, ["", "bar"], v)  // arr => [v, {foo: v, bar: v}, {bar: v}]
        //
        deepSet: function (o, keys, value, opts) {
            if (opts == null) { opts = {}; }
            var f = $.serializeJSON;
            if (isUndefined(o)) { throw new Error("ArgumentError: param 'o' expected to be an object or array, found undefined"); }
            if (!keys || keys.length === 0) { throw new Error("ArgumentError: param 'keys' expected to be an array with least one element"); }

            var key = keys[0];

            // Only one key, then it's not a deepSet, just assign the value in the object or add it to the array.
            if (keys.length === 1) {
                if (key === "") { // push values into an array (o must be an array)
                    o.push(value);
                } else {
                    o[key] = value; // keys can be object keys (strings) or array indexes (numbers)
                }
                return;
            }

            var nextKey = keys[1]; // nested key
            var tailKeys = keys.slice(1); // list of all other nested keys (nextKey is first)

            if (key === "") { // push nested objects into an array (o must be an array)
                var lastIdx = o.length - 1;
                var lastVal = o[lastIdx];

                // if the last value is an object or array, and the new key is not set yet
                if (isObject(lastVal) && isUndefined(f.deepGet(lastVal, tailKeys))) {
                    key = lastIdx; // then set the new value as a new attribute of the same object
                } else {
                    key = lastIdx + 1; // otherwise, add a new element in the array
                }
            }

            if (nextKey === "") { // "" is used to push values into the nested array "array[]"
                if (isUndefined(o[key]) || !isArray(o[key])) {
                    o[key] = []; // define (or override) as array to push values
                }
            } else {
                if (opts.useIntKeysAsArrayIndex && isValidArrayIndex(nextKey)) { // if 1, 2, 3 ... then use an array, where nextKey is the index
                    if (isUndefined(o[key]) || !isArray(o[key])) {
                        o[key] = []; // define (or override) as array, to insert values using int keys as array indexes
                    }
                } else { // nextKey is going to be the nested object's attribute
                    if (isUndefined(o[key]) || !isObject(o[key])) {
                        o[key] = {}; // define (or override) as object, to set nested properties
                    }
                }
            }

            // Recursively set the inner object
            f.deepSet(o[key], tailKeys, value, opts);
        },

        deepGet: function (o, keys) {
            var f = $.serializeJSON;
            if (isUndefined(o) || isUndefined(keys) || keys.length === 0 || (!isObject(o) && !isArray(o))) {
                return o;
            }
            var key = keys[0];
            if (key === "") { // "" means next array index (used by deepSet)
                return undefined;
            }
            if (keys.length === 1) {
                return o[key];
            }
            var tailKeys = keys.slice(1);
            return f.deepGet(o[key], tailKeys);
        }
    };

    // polyfill Object.keys to get option keys in IE<9
    var objectKeys = function(obj) {
        if (Object.keys) {
            return Object.keys(obj);
        } else {
            var key, keys = [];
            for (key in obj) { keys.push(key); }
            return keys;
        }
    };

    var isObject =          function(obj) { return obj === Object(obj); }; // true for Objects and Arrays
    var isUndefined =       function(obj) { return obj === void 0; }; // safe check for undefined values
    var isValidArrayIndex = function(val) { return /^[0-9]+$/.test(String(val)); }; // 1,2,3,4 ... are valid array indexes
    var isArray =           Array.isArray || function(obj) { return Object.prototype.toString.call(obj) === "[object Array]"; };
}));
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<article id="post-892" class="post-892 post type-post status-publish format-standard hentry category-foreks-obuchenie-6">
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		<h1 class="entry-title">Овертрейдинг, или Как торговать меньше да лучше</h1>
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<span class="posted-on"><i class="fa fa-calendar" aria-hidden="true"></i> <a href="https://anhvuminer.com.vn/overtrejding-ili-kak-torgovat%d1%8c-men%d1%8cshe-da-luchshe.html" rel="bookmark"><time class="entry-date published" datetime="2023-09-02T00:19:43+00:00">2 Tháng 9, 2023</time><time class="updated" datetime="2025-01-04T23:05:16+00:00">4 Tháng 1, 2025</time></a> - </span> 
<span class="byline"><i class="fa fa-user" aria-hidden="true"></i> <span class="meta-author vcard"><a class="url fn n" href="https://anhvuminer.com.vn/author/admin-2">admin</a></span> - </span> 
<span class="tp-post-view"><i class="fa fa-eye" aria-hidden="true"></i> 17 lượt xem </span> 
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	<p>А ваш торговый счёт – это количество попыток, отпущенное вам регламентом соревнований. Когда мы отвлекаемся или эмоционально возбуждены в течение торгового дня, нам нужно сделать то, что сделал любой профессиональный спортсмен перед выполнением попытки. Ответ заключается в том, что рационально мыслящими мы себе только <a href="https://boriscooper.org/chto-takoe-overtreyding-i-v-chem-ego-riski/">как его избежать овертрейдинг</a> кажемся.</p>
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<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class="ez-toc-link ez-toc-heading-1" href="#%D0%9D%D0%B0%D0%B2%D1%8B%D0%BA%D0%B8_%D0%BD%D0%B5%D0%BE%D0%B1%D1%85%D0%BE%D0%B4%D0%B8%D0%BC%D1%8B%D0%B5_%D0%B4%D0%BB%D1%8F_%D1%82%D1%80%D0%B5%D0%B9%D0%B4%D0%B5%D1%80%D0%B0" title="Навыки, необходимые для трейдера">Навыки, необходимые для трейдера</a></li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class="ez-toc-link ez-toc-heading-2" href="#%D0%9E%D0%B2%D0%B5%D1%80%D1%82%D1%80%D0%B5%D0%B9%D0%B4%D0%B8%D0%BD%D0%B3_%D0%9E%D0%BF%D1%80%D0%B5%D0%B4%D0%B5%D0%BB%D0%B5%D0%BD%D0%B8%D0%B5_%D0%BF%D1%80%D0%B8%D1%87%D0%B8%D0%BD%D1%8B_%D1%82%D0%B8%D0%BF%D1%8B_%D0%B8_%D1%81%D0%BF%D0%BE%D1%81%D0%BE%D0%B1%D1%8B_%D0%B8%D0%B7%D0%B1%D0%B5%D0%B6%D0%B0%D1%82%D1%8C" title="Овертрейдинг: Определение, причины, типы и способы избежать">Овертрейдинг: Определение, причины, типы и способы избежать</a></li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class="ez-toc-link ez-toc-heading-3" href="#%D0%9F%D0%BE%D1%85%D0%BE%D0%B6%D0%B8%D0%B5_%D1%82%D0%B5%D0%BC%D1%8B_%D0%BD%D0%B0%D1%83%D1%87%D0%BD%D1%8B%D1%85_%D1%80%D0%B0%D0%B1%D0%BE%D1%82_%D0%BF%D0%BE_%D1%8D%D0%BA%D0%BE%D0%BD%D0%BE%D0%BC%D0%B8%D0%BA%D0%B5_%D0%B8_%D0%B1%D0%B8%D0%B7%D0%BD%D0%B5%D1%81%D1%83_%D0%B0%D0%B2%D1%82%D0%BE%D1%80_%D0%BD%D0%B0%D1%83%D1%87%D0%BD%D0%BE%D0%B9_%D1%80%D0%B0%D0%B1%D0%BE%D1%82%D1%8B_%E2%80%94_%D0%9C%D1%83%D1%85%D0%B0%D0%BC%D0%B5%D1%82%D1%88%D0%B8%D0%BD_%D0%9C%D0%A4" title="Похожие темы научных работ по экономике и бизнесу , автор научной работы — Мухаметшин М.Ф.">Похожие темы научных работ по экономике и бизнесу , автор научной работы — Мухаметшин М.Ф.</a></li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class="ez-toc-link ez-toc-heading-4" href="#%D0%9A%D0%B0%D0%BA_%D0%B7%D0%B0%D1%81%D1%82%D1%80%D0%B0%D1%85%D0%BE%D0%B2%D0%B0%D1%82%D1%8C%D1%81%D1%8F_%D0%BE%D1%82_%D0%B8%D0%B7%D0%B1%D1%8B%D1%82%D0%BE%D1%87%D0%BD%D0%BE%D0%B3%D0%BE_%D1%82%D1%80%D0%B5%D0%B9%D0%B4%D0%B8%D0%BD%D0%B3%D0%B0" title="Как застраховаться от избыточного трейдинга">Как застраховаться от избыточного трейдинга</a></li></ul></nav></div>
<h2><span class="ez-toc-section" id="%D0%9D%D0%B0%D0%B2%D1%8B%D0%BA%D0%B8_%D0%BD%D0%B5%D0%BE%D0%B1%D1%85%D0%BE%D0%B4%D0%B8%D0%BC%D1%8B%D0%B5_%D0%B4%D0%BB%D1%8F_%D1%82%D1%80%D0%B5%D0%B9%D0%B4%D0%B5%D1%80%D0%B0"></span>Навыки, необходимые для трейдера<span class="ez-toc-section-end"></span></h2>
<p>Я понял, что опять совершаю те же ошибки и что нужно что-то менять. Это кстати спровоцировало лавинообразное падение цены до 2,7 или 2,8 баксов за акцию. Помню ещё недовольные комменты в тематическом блоге брокера, дескать, опять без причины упало. Условия обслуживания могут быть изменены брокером в одностороннем порядке в любое время в соответствии с условиями регламента брокерского обслуживания. Так как работа связана с консультациями, вы сами будете в курсе всех инвестидей от аналитиков и ситуации на рынке.</p>
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" width="307px" alt="почему случается овертрейдинг"/></p>
<h2><span class="ez-toc-section" id="%D0%9E%D0%B2%D0%B5%D1%80%D1%82%D1%80%D0%B5%D0%B9%D0%B4%D0%B8%D0%BD%D0%B3_%D0%9E%D0%BF%D1%80%D0%B5%D0%B4%D0%B5%D0%BB%D0%B5%D0%BD%D0%B8%D0%B5_%D0%BF%D1%80%D0%B8%D1%87%D0%B8%D0%BD%D1%8B_%D1%82%D0%B8%D0%BF%D1%8B_%D0%B8_%D1%81%D0%BF%D0%BE%D1%81%D0%BE%D0%B1%D1%8B_%D0%B8%D0%B7%D0%B1%D0%B5%D0%B6%D0%B0%D1%82%D1%8C"></span>Овертрейдинг: Определение, причины, типы и способы избежать<span class="ez-toc-section-end"></span></h2>
<p>Изучив детально все сложности и подводные камни трейдерской деятельности, участники рынка будут готовы к ним и даже смогут их избежать. В сегодняшнем обзоре мы обсудим одну из сложностей и проблемных ситуаций, которые могут постичь трейдера на его пути. По нашему мнению, вы не должны торговать на бирже без четкой стратегии и плана. Ваш торговый план должен максимально точно определять ваши действия каждый раз, когда вы садитесь торговать.</p>
<h2><span class="ez-toc-section" id="%D0%9F%D0%BE%D1%85%D0%BE%D0%B6%D0%B8%D0%B5_%D1%82%D0%B5%D0%BC%D1%8B_%D0%BD%D0%B0%D1%83%D1%87%D0%BD%D1%8B%D1%85_%D1%80%D0%B0%D0%B1%D0%BE%D1%82_%D0%BF%D0%BE_%D1%8D%D0%BA%D0%BE%D0%BD%D0%BE%D0%BC%D0%B8%D0%BA%D0%B5_%D0%B8_%D0%B1%D0%B8%D0%B7%D0%BD%D0%B5%D1%81%D1%83_%D0%B0%D0%B2%D1%82%D0%BE%D1%80_%D0%BD%D0%B0%D1%83%D1%87%D0%BD%D0%BE%D0%B9_%D1%80%D0%B0%D0%B1%D0%BE%D1%82%D1%8B_%E2%80%94_%D0%9C%D1%83%D1%85%D0%B0%D0%BC%D0%B5%D1%82%D1%88%D0%B8%D0%BD_%D0%9C%D0%A4"></span>Похожие темы научных работ по экономике и бизнесу , автор научной работы — Мухаметшин М.Ф.<span class="ez-toc-section-end"></span></h2>
<p>Овертрейдинг – это чрезмерное открытие и закрытие позиций на рынке, чаще всего вызванное эмоциональным стрессом или желанием быстрого заработка. Кроме того, некоторые трейдеры могут ошибочно считать, что чем больше сделок они заключают, тем больше шансов на успех. Для дискреционного трейдера провести день без активной работы, без позиций – это самое трудное, что может быть. Поэтому, для удовлетворения такого «зуда» трейдер прибегает к открытию новых позиций.</p>
<h2><span class="ez-toc-section" id="%D0%9A%D0%B0%D0%BA_%D0%B7%D0%B0%D1%81%D1%82%D1%80%D0%B0%D1%85%D0%BE%D0%B2%D0%B0%D1%82%D1%8C%D1%81%D1%8F_%D0%BE%D1%82_%D0%B8%D0%B7%D0%B1%D1%8B%D1%82%D0%BE%D1%87%D0%BD%D0%BE%D0%B3%D0%BE_%D1%82%D1%80%D0%B5%D0%B9%D0%B4%D0%B8%D0%BD%D0%B3%D0%B0"></span>Как застраховаться от избыточного трейдинга<span class="ez-toc-section-end"></span></h2>
<p>Негативные эмоции, которые могут отрицательно сказаться на конечном результате сделки, это страх, жадность и завышенные ожидания. В первом случае, вы полностью прекратите занятия трейдингом, либо перейдете к крайности иного типа – бездумному открытию череды сделок. Жадность – внутренний мотор, заставляющий желать большего по сравнению с имеющимся. Завышенные ожидания позволяют считать, что генерация вами достаточного уровня прибыли произойдет за короткий срок, и без прикладывания особенных усилий.</p>
<p>Бесплатный доступ для знакомства с программой открывается на 24 часа. Вы сможете подготовить свой первый портфель на 5 лет вперед и узнать, как достичь целей через инвестирование в ценные бумаги. В условиях страха, жадности, разочарования и чрезмерной самоуверенности мы можем действовать бездумно.</p>
<p>Но они не останавливаются, если не достигают предела риска на день, рассчитанного и прописанного в их плане. Исходя из этого, любая его короткая позиция (пусть даже одна за день) будет трактоваться как переторговка, потому что она не соответствует плану. В отличие от десятков сделок в лонг (например, по сигналу индикатора CCI или скальпинговых сделок в биржевом стакане), но проведенных по плану.</p>
<p>Альпари является членом Финансовой комиссии — международной организации, которая занимается разрешением споров в сфере финансовых услуг на международном валютном рынке. Эмоциональное перевозбуждение приводит к быстрой потере самообладания и подобным сериям сделок. Овертрейдинг – это явление, когда трейдер чрезмерно торгует, открывая множество сделок в короткие промежутки времени, не имея чёткой стратегии или плана. Это может быть вызвано неуверенностью в принимаемых решениях, желанием заработать быстро или просто невнимательностью.</p>
<p>В определённые моменты, особенно на пике эмоционального возбуждения, мы очень далеки от рационального мышления. Основоположниками современного подхода к пониманию проблем овердрафта являются К. Именно благодаря хорошему управлению рисками вы сможете сохранить контроль над своим капиталом, что бы ни случилось. Является оценкой способности организации выполнять свои краткосрочные финансовые обязательства. Установка стоп-лимита – это простая рациональность, поскольку ваши сделки всегда должны иметь точку отказа.</p>
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width="305px" alt="почему случается овертрейдинг"/></p>
<p>Это может произойти потому, что увлекся игрой и потерял свою осознанность. Появляется всем известный «тильт», который отнимает у многих депозиты. Все подготовленные специалисты с холодным расчетом подходят к торговле, четко понимают и осознают, что они делают, когда и как. Трейдер — это биржевой игрок, который покупает акции, опционы, валюту и другие ценные активы и продаёт их в тот момент, когда они дорожают. Сейчас я&nbsp;открываю свою компанию, которая будет предоставлять капитал и&nbsp;другие условия для&nbsp;торговли. Здесь работают специалисты, которые дадут в своих статьях четкие и практические советы по управлению вашими деньгами.</p>
<ul>
<li>Но, даже обладая опытом, трудно справляться с взлетами и падениями, приходящими вместе с полосами выигрышей и проигрышей.</li>
<li>Посмотрите этот вебинар о важности ведении торгового журнала от профессионального трейдера.</li>
<li>Именно его используют многие профессиональные трейдеры, такие как Михаэль.</li>
<li>Итого за день я потерял около баксов, а это почти пятая часть моего изначального капитала.</li>
<li>В процессе исследования использовались данные Федеральной овертрейдинг это службы государственной статистики, Центрального банка Российской Федерации.</li>
</ul>
<p>Свинг-трейдинг – это стратегия, при которой трейдер держит свои позиции на рынке в течение нескольких дней или недель. Такой подход позволяет трейдеру зарабатывать на изменении цены актива, избегая частых сделок и, соответственно, риска овертрейдинга. Однако чрезмерная торговля со стороны брокеров, известная как churning, запрещена законом о ценных бумагах. Овертрейдинг может происходить по разным причинам, включая эмоциональный стресс, желание быстрого заработка, недостаточную подготовку и опытность в торговле. Кроме того, некоторые трейдеры могут чрезмерно реагировать на новости и события на рынке, что также может привести к овертрейдингу. Инвесторы, хорошо осознающие, на что они способны во время трейдинга, могут предпринять шаги, чтобы застраховаться от лишних сделок.</p>
<p>Она, с точки зрения кредитора, будет по-прежнему являться просроченной. Чтобы достичь подлинной реструктуризации просроченного долга, нужно перевести его в срочный кредит, в результате изменится качество долга. В результате, появляется некая очень значимая картинка, которая, по своей сути, есть всего лишь плод больного воображения трейдера. В трейдинге ваша главная цель это не заработать деньги, а в первую очередь не потерять их. Путеводитель для инвесторов, которые предпочитают торговать вместе с финансовыми помощниками. Соблюдение этих принципов поможет поддерживать баланс в Вашей работе и снизит риск овертрейдинга, что в конечном итоге может привести к более стабильным и успешным результатам.</p>
<p>Торговый план позволяет трейдеру чётко определить свои цели, стратегию входа и выхода из позиций, риски, которые он готов принять, и т.д. Это помогает избежать неразумных решений, минимизировать риски и повысить шансы на успех в торговле. Дейтрейдинг – это стратегия, при которой трейдер держит свои позиции на рынке в течение одного дня. Особенностью дейтрейдинга является то, что трейдеры могут зарабатывать на краткосрочных движениях цены актива, не подвергаясь риску овертрейдинга.</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://boriscooper.org/wp-content/uploads/2021/06/22c288d7-0540-4500-b5b9-c8ba93578f97.jpg" width="300px" alt="почему случается овертрейдинг"/></p>
<p>Кроме того, трейдеры должны быть готовы к неудачам и не рисковать более, чем они могут позволить себе потерять. Отсутствие достаточных денег для торговли ставит под вопрос каждый второй пункт в этом списке. Изучение работы других людей является частью образования трейдера, и существует множество общедоступных идей, которые становятся компонентами успешного торгового плана. Рынок постоянно меняется, и чтобы быть успешным трейдером, важно следить за новостями и трендами, учиться у опытных трейдеров, читать книги и посещать специализированные курсы. Позиционный трейдинг – это стратегия, при которой трейдер держит свои позиции на рынке на протяжении длительного периода времени, как правило, несколько месяцев или даже лет. Такой подход позволяет трейдеру избежать частых сделок и, следовательно, овертрейдинга.</p>
<p>Термин overtrading является англицизмом, и описывает работу, в которой не соблюдаются пропорции. Её причины – открытие и закрытие слишком большого количества позиций либо слишком большой объем сделок. Оба эти события имеют связь с принудительными эмоциями без рациональной составляющей. В инфографике представлен диапазон зарплат на основе данных hh.ru, career.habr.com. Для начала торговли я выбрал акции одной фарм компании, которые довольно сильно упали и волатильность у них была низкая, т.е. Кроме этого лекарства у компании было ещё несколько проектов и не было больших долгов.</p>
<p>Переторговка может негативно сказаться на эффективности инвестиций, привести к увеличению расходов и рисков. Понимая причины и виды переторговки, инвесторы могут развить самосознание и предпринять шаги по ее предотвращению. Применение этих принципов может способствовать созданию более дисциплинированных и успешных торговых стратегий на российском или любом другом рынке мира.</p>
<p>В процессе исследования использовались данные Федеральной овертрейдинг это службы государственной статистики, Центрального банка Российской Федерации. Овертрейдинг вызван внутренним, эмоциональным импульсом открыть позицию. Успокоить эмоции и переоценить свои действия и торговые стратегии поможет перерыв. Наиболее интересные выводы появляются, когда трейдер пересматривает свою торговую историю. Так как это было утро и до ОС ещё было далеко, заявок в стакане было не много, но цена медленно падала.</p>
<p>Если работать в финансовой организации на должности, не связанной с управлением ценными бумагами, аттестат не нужен. Для проведения консультаций об условиях обучения Компании необходимо получить персональные данные о Пользователе. Эти данные также обеспечат лучшее понимание потребностей Пользователя Сайта и позволяют Компании предоставить пользователю Сайта информацию о максимально подходящих условиях. Эти данные также будут использованы для повышения качества консультирования пользователей Сайта по всем возникающим вопросам. Да, я много проиграл, но был ещё в плюсе, вернее сказать, своих изначальных денег я не потерял. Высшее финансовое или экономическое образование даст структурированную информацию о&nbsp;том, как устроен рынок, каким законам он&nbsp;подчиняется и&nbsp;как работать с&nbsp;деньгами.</p>
<p>Форекс обучение в школе Бориса Купера, переходите по ссылке и узнаете больше — <a href="https://boriscooper.org/">https://boriscooper.org/</a>.</p>

	
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