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{% block title %}Privacy Policy - Neural Trades{% endblock %}
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<section class="bg-half-100">
<div class="container">
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<h1 class="h2 mb-4 mt-4">Looking for a trading strategy that will work at any time?</h1>
<p class="text-danger text-muted text-muted">We were searching for a strategy that
<span class="text-primary fw-bold">makes profits independent</span> of market
situation. <br />We were hardworking. And we created one.</p>
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</div>
</section>
<section class="bg-light py-5">
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<div class="col-12">
<div class="section-title text-center mb-4 pb-2">
<span class="d-block h6 text-primary mb-2">We aim on patterns driven by human psychology</span>
<h2 class="h4 title mb-4">4 essential components for this winning strategy</h2>
<p class="para-desc mx-auto mb-0">Repetitions of certain market actions are usually
hard to read. We created an advanced backtest with support of <strong>artificial intelligence</strong>
for this purpose.</p>
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<div class="row">
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<h3 class="h5 text-dark">1. Market psychology</h3>
<p class="text-muted mb-0">Knowledge of
<a class="text-primary fw-bold" href="#market-psychology">negative market sentiment</a></p>
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<h3 class="h5 text-dark">2. Cyclical behavior</h3>
<p class="text-muted mb-0">Identification of specific
<a class="text-primary fw-bold" href="#market-cycles">market cycles</a></p>
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<h5 class="text-dark">3. Backtesting</h5>
<p class="text-muted mb-0">Testing of hypothesis and
<a class="text-primary fw-bold" href="#backtesting">deep learning</a> from results</p>
</div>
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<div class="col-md-3 mt-md-5 pt-md-5 mt-4 pt-2">
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<h3 class="h5 text-dark">4. Plan</h3>
<p class="text-muted mb-0 text-danger">Future decisions are set up in an
<a class="text-primary fw-bold" href="/">algorithm</a></p>
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<div class="row justify-content-center text-center mt-4">
<p class="para-desc">In-depth research of market trends
helped us discover patterns that reflect the behavior of <strong>everyday trading activities</strong>.
The outcome of this research is a trading strategy that offers the
opportunity to stand on the <strong>edge of the market</strong>.</p>
</div>
</div>
</section>
{# FUD #}
<section id="market-psychology" class="py-5">
<div class="container">
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<div class="col-lg-9 col-md-10 text-center">
<span class="badge rounded-pill bg-primary me-1">Market psychology</span>
<h2 class="h3 mb-4 pt-3">1. Knowledge of negative market sentiment</h2>
<p class="text-muted py-3">Psychology in financial markets drives the downward movements of markets. <br />It affects and creates patterns that
repeat around the clock.</p>
</div>
</div>
<div class="row justify-content-center">
<div class="col-12">
<p class="text-center py-3">
<img alt="Market psychology: Fear, uncertainty and doubt and market sentiment"
style="max-width: 500px; width: 100%; height: auto"
src="/svg/fear-uncertainty-and-doubt-and-market-turmoil.svg" />
</p>
</div>
</div>
<div class="row justify-content-center">
<div class="col-md-7 pt-3">
<h3 class="h5 pb-3">FUD: Fear, Uncertainty and Doubt</h3>
<p>Almost all market situations bring some levels of <strong>uncertainty and volatility</strong>.</p>
<p>Uncertainty occurs when the market anticipates significant movement in overall
market prices and can potentially lead to serious <strong>market shifts</strong>, usually
downward movements.</p>
<p>FUD comes from human psychology. Over the course of market cycles, <strong>downward movements take less time</strong> than upward movements.
Fear and uncertainty are the strongest catalysts for prices to go down fast.</p>
</div>
<div class="col-md-1 pt-3">
</div>
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<h3 class="h5 pb-3">Most significant market catalysts</h3>
<ul class="list-unstyled text-muted">
<li class="mb-1">
<span class="text-primary h5 me-2">
<i class="uil uil-check-circle align-middle"></i>
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an upcoming election period</li>
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<i class="uil uil-check-circle align-middle"></i>
</span>
important macroeconomic changes</li>
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<i class="uil uil-check-circle align-middle"></i>
</span>
monetary policy actions
</li>
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geopolitical tensions</li>
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<i class="uil uil-check-circle align-middle"></i>
</span>
catastrophic events</li>
<li class="mb-1">
<span class="text-primary h5 me-2">
<i class="uil uil-check-circle align-middle"></i>
</span>
uncertain market sentiment</li>
</ul>
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</div>
</div>
</section>
<section id="market-cycles" class="py-5 bg-light">
<div class="container">
<div class="row justify-content-center">
<div class="col-lg-9 col-md-10 text-center">
{# MARKET CYCLES #}
<span class="badge rounded-pill bg-primary me-1">Cyclical behavior</span>
<h2 class="h3 mb-4 pt-3">2. Identification of specific market cycles</h2>
<p>Market cycles are a result of the <strong>evolution of the price</strong> of
an underlying asset. Cycles we focus on in neural trading are affected by
<strong>market sentiment</strong>
that changes cyclically throughout time. Cyclical patterns of different types and scales
can be found in every single type of <strong>liquid market</strong>, mostly in stock, forex,
crypto and commodity markets.</p>
<p class="text-center py-3">
<img alt="Repetitive market cycles are reflection of psychology"
style="max-width: 500px; width: 100%;
height: auto" src="/svg/market-cycles-economic-waves-psychology.svg" />
</p>
<p>Market cycles can be either regular or irregular. For our trading
strategy, the best events to work with are <strong>regular cycles</strong> so we can build a <strong>plan that
is easy to follow</strong>.</p>
<p>For the <strong>best rate</strong> of successful trades, it is necessary
to recognize patterns that demonstrate the <strong>best probability</strong> of desired outcomes and
to <strong>evaluate financial risk</strong> with thoughtful consideration.</p>
{# <p>#}
{# Investments in stocks generally produce higher returns in bullish markets and experience#}
{# losses in periods of economic slowdown. The predictability of the movement of prices of#}
{# cyclical stocks encourages some investors to attempt to time the market.#}
{# This can best be done using <strong>artificial intelligence</strong>.</p>#}
</div>
</div>
</div>
</section>
<section id="backtesting" class="py-5">
<div class="container">
<div class="row justify-content-center">
<div class="col-lg-9 col-md-10 text-center">
{# BACKTESTING #}
<span class="badge rounded-pill bg-primary me-1">Backtesting</span>
<h2 class="h3 mb-4 pt-3">3. Testing on past data using deep learning</h2>
<p><strong>Probability of profits</strong> is the key part of a successful trading strategy.
If we need to achieve a certain level of confidence using our plan, we need to
apply our algorithm to the <strong>past</strong>.
</p>
<p>Backtesting is a powerful tool to <strong>identify patterns</strong> in market price development.
The purpose is to perform an accurate analysis of market trends and patterns
with the support of <strong>innovative automated tools</strong> to study relevant data.</p>
</div>
</div>
<div class="row py-4">
<div class="col-md-4">
<p class="text-center py-2">
<img alt="Backtesting forms an input for trading strategy and plan"
style="max-width: 215px; width: 100%;
height: auto" src="/svg/trading-algorithms-help-to-avoid-emotions-and-psychological-trap.svg" />
</p>
</div>
<div class="col-md-8 py-3">
<h3 class="h4 mb-3">Quantitative analysis</h3>
<p>Past data is used to analyze historical price movements and check for specific
market patterns to estimate <strong>future price movements</strong>.
Probability models provide a way to help make the optimal decisions
based on <strong>analysis</strong> of past data.</p>
<p>The most important feature of backtesting results is a <strong>level of accuracy</strong>.
This is usually higher with a longer followed period.</p>
</div>
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<div class="row justify-content-center">
<div class="col-lg-9 col-md-10 text-center">
<p>There are many possible combinations of parameters in every trading decision tree.
The goal is to choose such <strong>combinations of parameters</strong> that fulfill
<strong class="text-primary">maximization
of the outcome</strong> of suggested hypothesis.</p>
</div>
</div>
</div>
</section>
<section id="trading-algorithm" class="py-5 bg-light">
<div class="container">
<div class="row justify-content-center">
<div class="col-lg-9 col-md-10 text-center">
{# ALGO #}
<span class="badge rounded-pill bg-primary me-1">Plan</span>
<h2 class="h3 mb-4 pt-3">4. Trading plan helps to avoid psychological traps</h2>
{# <p class="text-danger">Algorithmic trading strategies .</p>#}
<p>After successful testing of such a system, it can be used as
an effective tool to <strong>mitigate risk</strong> and provide <strong>higher investment returns</strong>.</p>
<p>Automated trading systems make it possible to <strong>analyze thousands or millions</strong> of data points
in a <strong>matter of seconds</strong>. Algorithms are <strong>free of any emotions</strong> and human-like obstacles like
having second thoughts. Decisions are preprogrammed in an algorithm that follows the plan
reliably. <strong>Sticking to the plan</strong> is the most challenging requirement for any person or
business that decides to jump into the world of trading.</p>
<p class="text-center py-2">
<img alt="Trading plan makes you confident and calm in all market situations"
style="max-width: 215px; width: 100%; height: auto"
src="/svg/trading-plan-makes-you-confident-and-calm-in-all-market-situations.svg" />
</p>
<p>Trading algorithms may never completely replace the role of human
beings in financial markets, but the need for <strong>rational and objective tools</strong> are essential
and cannot be replaced.
</p>
</div>
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