The upper band is calculated by taking the middle band and adding twice the daily standard deviation to that amount. The lower band is calculated by taking the middle band minus two times the daily standard deviation. On the other hand, when price breaks above the upper band, the market is perhaps overbought and due for a pullback. Mean reversion assumes that, if the price deviates substantially from the mean or average, it eventually reverts back to the mean price. In range-bound markets, mean reversion strategies can work well, as prices travel between the two bands like a bouncing ball.

During a strong trend, for example, the trader runs the risk of placing trades on the wrong side of the move because the indicator can flash overbought or oversold signals too soon. To help remedy this, a trader can look at the overall direction of price and then only take trade signals that align the trader with the trend.

For example, if the trend is down, only take short positions when the upper band is tagged. The lower band can still be used as an exit if desired, but a new long position is not opened since that would mean going against the trend.

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As John Bollinger acknowledged, "tags of the bands are just that, tags, not signals. Price often can and does "walk the band. Therefore, the bands naturally widen and narrow in sync with price action , creating a very accurate trending envelope. Returning to the chart above, we can see how trend traders would position long once price entered the "buy zone.

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The reason for the second condition is to prevent the trend trader from being "wiggled out" of a trend by a quick move to the downside that snaps back to the "buy zone" at the end of the trading period. Note how, in the following chart, the trader is able to stay with the move for most of the uptrend , exiting only when price starts to consolidate at the top of the new range. Note, however, that counter-trend trading requires far larger margins of error, as trends will often make several attempts at continuation before reversing.

As for the stop-loss points, putting the stop just above the swing high will practically assure the trader is stopped out, as the price will often make many forays at the recent top as buyers try to extend the trend. By using the volatility of the market to help set a stop-loss level, the trader avoids getting stopped out and is able to remain in the short trade once the price starts declining.

A squeeze occurs when the price has been moving aggressively then starts moving sideways in a tight consolidation. A trader can visually identify when the price of an asset is consolidating because the upper and lower bands get closer together.

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This means the volatility of the asset has decreased. After a period of consolidation, the price often makes a larger move in either direction, ideally on high volume. Expanding volume on a breakout is a sign that traders are voting with their money that the price will continue to move in the breakout direction.

When the price breaks through the upper or lower band, the trader buys or sells the asset, respectively. A stop-loss order is traditionally placed outside the consolidation on the opposite side of the breakout. Quadency is one of the most popular trading bots out there.

An all-in-one automated trading platform. It's super easy to use, and one of the most popular crypto trading Bots. It provides Ready-made and custom Bots. Select a bot, tweak its parameters, backtest, and go live in minutes. Quadency allows traders to connect multiple cryptocurrency exchanges and trade from one place automatically. It is a single unified platform that provides effortless trading and efficiency in an intuitive, secure, intelligent, and reliable manner.

The platform is also well suited to professional traders that need powerful technical analysis tools, Python Strategy Coder, and crypto market making bots. Quadency's features include:. Quadency allows users to trade on all top tier exchanges from one platform.

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The interface is fast and intuitive and features both manual and automated trading. Quadency allows users to automate trading of their exchange holdings. It provides regularly updated pre-built strategies. You can select such a strategy, customize, backtest, and then let it go live. All this process takes minutes. Smart Suggest is a feature that allows you to Find and copy successful configurations for your Bot.

With this brilliant feature you can easily find profitable configuration parameters generated by Quadency's Hyper-Parameter Optimization Engine and assign it for bots.

Code your own custom bot using Python programming language. Write event-based real-time or candle-based algorithms to execute any multi-market and multi-exchange strategy. Can't code it yourself?

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You can request a custom strategy and Quadency team will code it for you and make it available within your account. Quadency provides integrated market screener and charts coupled with high-quality streaming data to help the users go beyond market data.

This feature can help the users gain deep insight into their portfolio performance, current and historical asset allocation. This feature allows the user to monitor all their crypto assets offline and exchanges. Users can also track the performance over time as they trade. Quadency displays the balances, transactions, and orders for the users whose exchange accounts are connected to the bot. Quadency comes with an easy to use and intuitive user interface.

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Users of different experiences can find it easy to integrate exchange accounts, track portfolio and use automatic trading bots with connected accounts. Additionally, the trading software comes without any requirements to install it on a computer. The setup is simple and does not require extensive technical knowledge to complete the installation and operate complex programs. Quadency also has a resourceful knowledge base that answers both basic and advanced questions in a detailed manner. JavaScript Mountain Chart. Javascript Spline Mountain Chart.

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